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The Insulin & Glucose Doctor: This Will Strip Your Fat Faster Than Anything!

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The Insulin & Glucose Doctor: This Will Strip Your Fat Faster Than Anything!

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4824 segments

0:00

When we're looking at smoking versus

0:01

vaping, vaping is probably worse in

0:03

terms of the damage to the airway and

0:05

the insulin resistance that comes from

0:07

it. But this gets worse because we know

0:09

that insulin resistance is the core for

0:10

most chronic diseases that are killing

0:12

us. And there's a handful of other

0:13

lifestyle habits that's contributing to

0:14

it.

0:15

That's horrifying. So tell me

0:17

everything.

0:18

Dr. Benjamin Bikman is a leading

0:19

metabolic scientist. His research

0:21

focuses on the hidden epidemic of

0:22

insulin resistance and its devastating

0:24

consequences.

0:25

And by regaining control of your insulin

0:26

levels, he says you can regain control

0:28

of your life.

0:28

Insulin is a hormone that affects

0:30

literally every single cell of the body.

0:32

But if those cells become insulin

0:33

resistant, you start to spread the

0:35

disease. For example, they call

0:36

Alzheimer's insulin resistance of the

0:38

brain. And even the most common forms of

0:39

infertility, erectile dysfunction, and

0:41

PCOS, insulin resistance is a heavy

0:43

contributor. Now, 88% of adults in the

0:45

US have some degree of insulin

0:47

resistance. And people hear this and

0:49

think America is just fat and

0:50

metabolically sick. But we're not

0:52

actually the worst country when it comes

0:53

to this. And part of it is because of

0:55

how different ethnicities store fat. And

0:57

I'll come back to that. But there's two

0:58

roads to insulin resistance. So there's

1:00

the fast lane, and I could make you

1:01

insulin resistant in 6 hours with either

1:03

of these common three things. But if I

1:05

removed them, your resistance would go

1:06

away just as quickly. Now, the slow

1:08

lane, that's a problem. And there's

1:10

certain lifestyle habits and problems

1:11

with our diet that are massively

1:13

contributing to slow insulin resistance.

1:15

Now, thankfully, this can be resolved

1:16

through four pillars, which are very

1:18

simple.

1:18

We'll get into that. But why don't we

1:20

just cycle this off and just take his

1:21

Ozempic?

1:22

Well, because people may not know about

1:23

the negative side effects. For example,

1:25

40% of the weight that people are losing

1:27

on these drugs is coming from

1:29

Highly

1:32

I have been forced into a bet with my

1:34

team. We're about to hit 10 million

1:36

subscribers on YouTube, which is our

1:37

biggest milestone ever, thanks to all of

1:39

you. And we want to have a massive party

1:41

for the people that have worked on this

1:42

show for years behind the scenes. So,

1:44

they said to me, "Steve, for every new

1:46

subscriber we get in the next 30 days,

1:48

can $1 be given to our celebration fund

1:52

for the entire team?" And I've agreed to

1:54

the bet. So, if you want to say thank

1:56

you to the team behind the scenes at

1:57

Diabetes Canada, all you've got to do is

1:59

hit the subscribe button. So, actually,

2:01

this is the first time I'm going to tell

2:02

you not to subscribe because it might

2:05

end up costing me AN AWFUL

2:19

BENJAMIN,

2:22

WHAT IS THE MISSION THAT YOU'RE ON?

2:24

My mission is to help people appreciate

2:28

that much of chronic disease

2:30

we look at them as these siloed

2:32

individual distinct disorders with

2:34

totally distinct origins, and yet much

2:37

of them

2:38

uh share a common core. It's as if

2:41

they're branches growing from the same

2:42

tree. And the conventional clinical care

2:46

will look at these branches and give

2:48

someone a prescription for a medication,

2:50

which is only going to prune the branch

2:52

back a little bit, never actually

2:54

solving the problem.

2:56

It can just grow right back. And so, we

2:59

can look at most of these chronic

3:01

diseases that are killing us globally

3:04

and and then say, "Okay, there are in

3:06

fact some simple lifestyle changes that

3:09

can be implemented that will help reduce

3:11

the risk of not only one or two, but all

3:13

of the top killers from things like

3:15

Alzheimer's disease to

3:17

uh heart disease to type 2 diabetes to

3:20

uh liver failure or fatty liver disease.

3:22

All of them share a common metabolic

3:25

core. That's my mission.

3:27

And what is that common metabolic core?

3:30

Yeah, it's a little-known problem called

3:31

insulin resistance.

3:33

In fact, when I first started

3:37

this topic, I stumbled on one paper

3:40

that documented how when fat tissue is

3:43

growing, it increases the risk of type 2

3:47

diabetes. That wasn't a concept in the

3:48

early 2000s that was is getting a lot of

3:50

attention.

3:51

Diabesity, this kind of dual epidemic of

3:54

wherever we see obesity, we see more

3:56

type 2 diabetes. And this manuscript

3:58

outlined

4:00

something that was to me a revelation at

4:01

the time. It was so fascinating where

4:04

when fat tissue is growing, it starts

4:06

releasing pro-inflammatory proteins.

4:09

That inflammation caused a problem

4:11

called insulin resistance.

4:14

And then that got me into this realm of

4:16

understanding that other tissues of the

4:19

body as they become insulin resistant,

4:21

then you start to spread the chronic

4:23

disease.

4:24

And and essentially

4:26

coming to the conclusion that something

4:29

like hypertension, high blood pressure,

4:31

which is the most common cardiovascular

4:33

problem and the main contributor to

4:35

heart disease.

4:36

Well, insulin resistance is the main

4:38

cause of hypertension. Um they call

4:41

Alzheimer's disease type 3 diabetes or

4:43

more accurately um insulin resistance of

4:46

the brain. Even the most common forms of

4:48

infertility in men, it's erectile

4:50

dysfunction. Well, that's because of

4:52

insulin resistance of the blood vessels.

4:54

In women, the most common form of

4:56

infertility is polycystic ovary syndrome

4:58

or PCOS. That's because of the insulin

5:01

resistance affecting her ovaries and the

5:03

ability to produce the proper sex

5:04

hormones.

5:05

I guess the really important question

5:07

here is what is insulin resistance? And

5:10

can you explain this to me like I'm a

5:12

10-year-old because

5:13

for sure. Insulin resistance is it's

5:15

kind of a it's a disorder that has two

5:18

parts. It's like a coin with two sides

5:20

that as much as we think of we we think

5:22

of one side just because we hear the

5:24

word insulin resistance, but there's

5:26

another part to it that I need to that

5:28

is very important. So,

5:30

insulin first of all is a hormone that

5:32

we make from the pancreas, a long kind

5:35

of gland tucked underneath the stomach.

5:37

And the pancreas is a very busy organ.

5:39

It makes a lot of different hormones. It

5:42

makes hormones that come into the blood.

5:43

It also makes enzymes that go into the

5:45

the into the intestines to help digest

5:47

food. But among the hormones that are

5:50

being released into the blood is

5:52

insulin. Now, in the person with type 1

5:55

diabetes, their immune system has

5:57

destroyed their beta cells. So, they

5:59

don't make insulin anymore. That's why

6:02

for a person with type 1 diabetes,

6:03

insulin is a life-saving therapy. You're

6:06

giving them what they're not making

6:07

anymore. But for everybody else,

6:10

we have beta cells and they're releasing

6:12

insulin when they need to.

6:14

Now, usually the main stimulus

6:17

the main reason the beta cell is

6:19

releasing the insulin is because blood

6:21

glucose levels go up.

6:22

So, I eat sugar.

6:23

You eat sugar or not even something as

6:25

obvious as sugar, but bread or or

6:28

crackers.

6:29

White rice.

6:29

Chips. Oh, yes. Yes. So, basically

6:32

anything that falls into the family of a

6:34

carbohydrate. So, if the earth grows it,

6:36

that's a carbohydrate. Um if it's a

6:39

plant, it's a carbohydrate. Maybe that's

6:40

a better way of describing it. And so,

6:42

it's going to have starches and sugars,

6:44

which all this kind of falls into this

6:46

family of carbohydrate. Depending on how

6:49

much starch or sugars that it has, then

6:52

that will result in a bigger or a

6:54

smaller blood glucose or blood sugar

6:56

response.

6:58

But then, if blood sugar is too high for

7:00

too long, that becomes very harmful to

7:02

the body. So, insulin comes in

7:04

um and helps lower the blood glucose.

7:06

And then, having done its job, insulin

7:08

comes back down.

7:09

So, insulin comes out like a taxi and

7:11

transports all the glucose in my blood

7:15

to various places around the body to

7:17

store them.

7:17

Perfect. Perfect. Yeah,

7:19

Yeah, that's right. It's that's you can

7:20

say look at it's a shuttle. It's a taxi

7:22

saying, "Hey, glucose, come on in. I'm

7:24

dropping you off at the muscle." So,

7:26

mostly, just as an interesting tangent

7:28

of insulin before I finish answering

7:30

insulin resistance,

7:32

insulin will open the doors for blood

7:35

sugar to come in and drive the taxi in,

7:38

mostly at the muscle and the fat.

7:41

Muscle and fat tissue need insulin to

7:43

come and bring the sugar in via taxi.

7:47

However, other tissues and and the brain

7:50

a little bit as well. Other tissues will

7:52

still respond to insulin, but they don't

7:55

need insulin to tell it what to do with

7:57

the sugar. It just takes it in. But even

7:59

on those like the liver for example,

8:02

if the liver sees sugar driving by in a

8:04

taxi, it just opens the doors and lets

8:06

it in. It doesn't need insulin to come

8:08

and tell it to let the sugar in.

8:10

However, even at the liver and other

8:13

every other cell has a similar degree of

8:15

this.

8:16

The liver doesn't know what to do with

8:18

it.

8:19

So, this is back to something I'd

8:20

mentioned earlier where insulin's

8:22

thematic effect of the entire body is to

8:25

tell the body what to do with energy in

8:27

all of its forms as as these kind of

8:30

caloric rich molecules. What to do with

8:32

lactate, what to do with ketones, what

8:34

to do with fats or glucose, what to do

8:36

with pro- amino acids. So, insulin will

8:39

tell the body what to do with all of

8:40

those things. But again, it's most

8:42

famous effect is to control blood sugar.

8:46

And that's not wrong because it's most

8:49

powerful activator is blood sugar. So,

8:52

with all of that in mind,

8:54

insulin resistance is two problems

8:56

wrapped into one. The one problem is the

8:58

most obvious one, which is that insulin

9:01

isn't working as well as it used to. So,

9:02

back to the analogy of the taxis

9:05

dropping off sugar,

9:06

if the muscle tissue has become insulin

9:09

resistant, insulin is coming and trying

9:12

to pull the sugar-loaded taxi into the

9:14

muscle, but the muscle's not listening.

9:16

So, say that again. So, the

9:17

Yeah.

9:18

Insulin's coming past with the glucose

9:21

inside it.

9:22

Well, not not technically. Yeah, but

9:24

just to sort of go with your metaphor.

9:26

But maybe to use another one, insulin

9:28

comes and knocks on the doors. It's like

9:30

the bouncer

9:31

Yeah.

9:31

at the door. It's coming and knocking on

9:33

the door of the muscle saying, "Hey

9:35

muscle, I've got some sugar that wants

9:36

to come in.

9:37

Mhm.

9:38

And normally the muscle will say, oh

9:39

yeah, sure, okay, open up the doors and

9:41

let the sugar come in.

9:42

When the muscle is insulin resistant,

9:44

the bouncer is knocking. Maybe there's

9:46

even I'm almost getting ahead of myself,

9:48

but

9:49

one bouncer maybe two or three bouncers

9:51

pounding on the doors of the muscle

9:53

cell, but the muscle cell's not

9:55

listening. It's become deaf.

9:57

That's the insulin resistance of what we

9:59

call insulin resistance, where some of

10:01

insulin's effects, like helping lower

10:04

blood sugar, it's not working very well

10:06

anymore. And the muscle is just an

10:08

obvious example because there's so much

10:10

of it. You know, it is the biggest

10:12

tissue on the average individual.

10:14

Someone who's very obese perhaps now has

10:15

more fat tissue, but even people who are

10:18

overweight, most of us is muscle. So,

10:20

that's a good it's a good tissue to look

10:22

at. So, part of insulin resistance is

10:26

that of all the things insulin's trying

10:27

to do,

10:29

including lower blood sugar, it doesn't

10:31

do it quite as well as it used to. Some

10:33

of the cells or tissues of the body have

10:35

become deaf to insulin's demands.

10:39

Now, however, at the same time that's

10:41

happening,

10:42

insulin levels are higher. And that is

10:45

really important. Um and I'll I'll

10:47

mention an example in just a moment that

10:49

highlights the difference between the

10:51

two, but we have to consider anytime we

10:54

talk about insulin resistance, we think

10:56

of two things happening

10:57

um in concert. One, insulin isn't

11:00

working quite as well as it used to in

11:02

various places of the body.

11:04

At the same time, insulin levels are

11:07

higher. And that kind of takes us back

11:09

to the um the muscle cell, where I'd

11:12

mentioned getting a little ahead of

11:13

myself, that a bouncer is knocking on

11:16

the door,

11:17

and once upon a time the muscle cell

11:18

would hear that one polite knock from

11:20

that one bouncer or one molecule of

11:23

insulin, if you will, and it would open

11:25

the door and let the glucose or the

11:26

blood sugar come in. But now the muscle

11:28

cell

11:29

um the the the bouncer insulin's

11:31

knocking on the door, but the muscle

11:33

doesn't listen. It's resistant.

11:35

And so, the body has adapted, and it

11:38

learns, "Okay, well, if one bouncer

11:40

wasn't enough, let's send an angry mob

11:43

of bouncers." And then the glucose the

11:46

muscle will start to open the door. And

11:48

and and indeed it can. So, those two

11:50

problems go together. On one hand,

11:52

insulin isn't working as well as it used

11:54

to. That's what gives it the name

11:55

insulin resistance.

11:57

But there's another part that is equally

11:59

present, which is that blood insulin

12:01

levels are higher. Now, there's

12:04

um earlier at the outset of the

12:05

conversation, I mentioned that even

12:07

infertility has an origin has has some

12:11

degree of um

12:13

development because of insulin

12:14

resistance.

12:15

And it's a perfect example of both of

12:18

these parts of insulin resistance, where

12:20

in some instances insulin isn't working

12:22

very well, always with insulin

12:24

resistance blood insulin levels are

12:26

higher. So, for example,

12:28

erectile dysfunction is the most common

12:31

form of male infertility. In fact,

12:34

its connection to insulin resistance is

12:36

so strong that just a few years ago I I

12:39

was so struck by a title of a paper that

12:40

had just been published, which stated

12:43

something like, "Is erectile dysfunction

12:45

the earliest manifestation of insulin

12:49

resistance in otherwise young healthy

12:51

men?" Now, what is the connection? It's

12:53

because in a normal erectile function,

12:56

in order for the man to have normal

12:58

erectile function, he has to experience

13:00

a pretty dramatic increase in the size

13:03

of the blood vessels in his body. The

13:05

blood vessels expand, that increases

13:07

blood flow, and then he has normal

13:08

function.

13:10

Part of that signal that tells the blood

13:12

vessels that it's time to expand is

13:14

actually insulin. And so, this is what I

13:17

said earlier, where insulin does so many

13:19

things in the body, and we only think of

13:21

it as being relevant to glucose, and

13:23

that's not fair. Insulin does a a of

13:25

stuff. Again, including telling blood

13:28

vessels to expand. Now, unfortunately,

13:30

in the case of this

13:32

this unfortunate man,

13:34

his blood vessels become insulin

13:36

resistant. So, now it's insulin coming

13:38

and knocking on the doors of the blood

13:40

vessels saying, "Hey, it's time to

13:41

expand and increase blood flow."

13:44

But, the blood vessels don't respond.

13:45

They don't listen. So, they stay

13:47

constricted, blood flow stays

13:49

insufficient, and thus he has erectile

13:52

dysfunction.

13:53

Now, I don't want to be insulin

13:54

resistant.

13:55

No. No one does. No one does.

13:57

So, so tell me how it happens.

13:59

Yeah, right. Yeah, so the origins are so

14:01

important because it helps us understand

14:02

why we've gotten into the situation we

14:04

are, where it's the most common problem

14:06

worldwide. There are two pathways to

14:09

insulin resistance. So,

14:11

two two roads to get to the same

14:13

destination. Again, the destination

14:15

being insulin resistance. There's the

14:17

fast lane, which I call fast insulin

14:20

resistance, and it actually has three

14:21

lanes, which I'll describe in a moment.

14:24

Then, there's the slow insulin

14:25

resistance, which is a more it takes a

14:28

little longer to get there, but at the

14:30

same time it takes a little longer to

14:31

get away from it. So, I'll start with

14:33

fast insulin resistance because the slow

14:36

one ends up getting a little excitingly

14:38

complicated, but in a cool way.

14:41

So, with fast insulin resistance, there

14:43

are three things that I could take you

14:45

to a clinical lab, and I could make you

14:47

insulin resistant in 6 hours with either

14:50

of these three things. But, as quickly

14:53

as it settles in, if I remove those

14:55

things, your insulin resistance would go

14:58

away. So, these are fast causes, and

15:00

they're fast resolution.

15:02

They are stress

15:05

is a is a primary cause of fast insulin

15:07

resistance.

15:09

So, too is inflammation.

15:12

And then lastly, and this is going to

15:14

sound somewhat paradoxical, too much

15:16

insulin is also a cause, and I'll end

15:19

with that one because I think it's the

15:20

most important. Then transition to slow

15:22

insulin resistance. So, anytime the body

15:25

is experiencing too much stress, it will

15:27

very quickly become insulin resistant.

15:29

Now, as a professor who teaches

15:31

endocrinology, no surprise, I define

15:35

stress in the context of hormones. And

15:38

there are two primary stress hormones,

15:39

cortisol and what we call in the US

15:42

epinephrine or in the UK adrenaline.

15:45

Those are the two stress hormones. Now,

15:47

those hormones are very distinct. They

15:50

have almost nothing in common. But like

15:52

when you are feeling a little stressed,

15:55

it's both of those, especially

15:56

adrenaline {slash} epinephrine, that are

15:58

making you feel a little jittery. It's

16:00

making your heart beat a little faster.

16:02

You're a little more alert. Um that all

16:05

starts to play into a stress response.

16:08

But what those two hormones have in

16:10

common

16:11

is that they both want blood glucose

16:13

levels to climb.

16:14

It's kind of their way of saying, "Hey,

16:16

we don't really know what's going on

16:18

right now, but we want to be ready to

16:19

run away." Or that's the fight or flight

16:21

kind of aspect to stress. And so they

16:24

want to push blood glucose levels up,

16:26

and they do very well.

16:27

That, of course, puts them at odds with

16:29

the hormone insulin.

16:31

Cuz these two, epinephrine or adrenaline

16:33

and cortisol, the two stress hormones,

16:35

they're pushing glucose up, insulin

16:38

wants to push it down. So, the more of

16:40

the body is has those stress hormones

16:43

elevated because of, say, sleep

16:45

deprivation, that's a very effective way

16:47

to increase cortisol, or they are taking

16:50

too much drinking too much caffeine,

16:53

that is a way to increase epinephrine

16:55

quite strongly. If both of those signals

16:57

are too incessant, or the you know, they

17:00

they continue to be present and climb,

17:02

then insulin has to work harder and

17:04

harder. And then we have insulin

17:06

resistance. So, stress is a cause of

17:09

insulin resistance. But then next is

17:11

inflammation.

17:13

You you know, you you and I were

17:14

commenting about earlier about how,

17:17

"Boy, there's a cold going around.

17:18

People it's flu season. Even then, if a

17:21

person were wearing a continuous glucose

17:23

monitor on the back of their arm,

17:25

measuring their glucose levels, they

17:27

would see their glucose levels are much

17:29

much higher like significantly higher

17:32

during the time that they're struggling

17:34

with this infection. That is a

17:36

reflection of insulin resistance.

17:38

Insulin's having a harder time keeping

17:40

the blood glucose levels in check.

17:43

Anytime inflammation is up, insulin

17:45

resistance will be up as well. Even in

17:48

things like autoimmune diseases, there

17:50

are reports in humans that document the

17:52

degree to which someone has say active

17:55

rheumatoid arthritis. Their their joints

17:57

are achy and because of of an autoimmune

18:00

attacking of the joints,

18:02

they will note on some days, like every

18:05

autoimmune disease, there is an ebb and

18:07

a flow. Some days it's good, some days

18:10

it's bad. And on the bad days, if you

18:13

measure their insulin resistance, it is

18:15

absolutely locked with the degree to

18:18

which their immune system is turned on

18:20

or off or higher or lower. So,

18:22

inflammation is another cause. And then

18:24

the last one of the fast lane of insulin

18:26

resistance is too much insulin itself.

18:29

Now, the astute listener will realize

18:32

the kind of circular thing I've just

18:34

presented by invoking high insulin as a

18:36

cause of insulin resistance because they

18:38

will also think, "But wait a minute,

18:40

Ben. You just said that high insulin is

18:42

also a consequence of insulin

18:44

resistance." That, you know, back to the

18:46

bouncer knocking on the the the door of

18:48

the muscle cell, if one bouncer wasn't

18:51

enough or one molecule of insulin wasn't

18:53

enough, the body will say, "Okay, well,

18:55

let's send 10 molecules of insulin."

18:58

So, high insulin is both a consequence

19:01

of insulin resistance, but it's also a

19:03

cause. And this is reflective of a

19:07

fundamental principle in all of biology

19:11

that if there is too much of a stimulus,

19:14

a cell, if it's capable, will try to

19:17

become resistant to that stimulus. This

19:20

would be like a funny analogy of in in

19:23

in my in the Bickman home, my darling

19:25

wife is home with the children. That is

19:28

what she wants to do. She She is

19:30

full-time mom. When I'm home, and I try

19:33

to be home as much as I can, it's funny

19:35

for me to note the difference in how

19:36

quickly we each respond to our children.

19:38

I will hear my child saying, "Mom. Mom.

19:42

Mom."

19:43

And she's not responding. Mom has heard

19:46

this for so much that she's become kind

19:48

of selectively deaf to when my children

19:51

are demanding her attention. I'm not as

19:53

around my children quite as much cuz I'm

19:55

working during the day. And so when I

19:57

hear that, it's a very fresh signal to

20:00

me. I've not heard it so much that I've

20:01

become deaf to it. And so I will respond

20:05

even though I'm in the other room

20:06

because I'm so much more sensitive to

20:09

the clamoring for attention.

20:11

This is like the body in response to

20:13

insulin. If there is always insulin,

20:16

it's always going up, always going up,

20:19

the body will start to say the muscle

20:20

cell will start to say, "Boy, insulin,

20:22

you are knocking on my door all the

20:24

time. This is getting old. I'm not

20:26

responding anymore. I'm not going to

20:28

listen as much as I was before." So in

20:30

that sense,

20:32

insulin, too much insulin becomes a

20:34

cause of insulin resistance. And back to

20:36

what I said earlier, I could take you

20:37

into the lab, start infusing you with

20:40

just a little drip of insulin to

20:41

increase your insulin, and over just a

20:43

few hours, you would become demonstrably

20:46

less sensitive to it than you were

20:49

before we started. But again, as I would

20:51

take that away, give your body a few

20:53

hours, and it's back to normal. In every

20:55

one of those instances, it's a fast

20:57

onset, and it's also a fast solution if

21:00

we can take it away.

21:01

If we can take it away, but if we can't

21:02

take it away, does it become sort of

21:04

chronic?

21:05

Yes, so that especially all of these can

21:07

contribute to a more lingering insulin

21:10

resistance, but especially insulin.

21:12

Where I focus on that one the most

21:14

because of not only its relevance to the

21:16

slow lane, but also just how present it

21:20

is where 70% of all calories globally

21:24

are carbohydrates. And now, perhaps with

21:27

the best of intentions, our experts are

21:29

telling us that we should be eating six

21:31

times a day.

21:32

And so, we

21:34

eat we wake up in the morning, insulin

21:37

has finally been coming down while we've

21:38

been fasting overnight. Insulin gets to

21:41

take a little bit of a break. We're

21:42

fasting. Then we break that fast by

21:44

eating breakfast. And in the UK as it is

21:47

in the US, by and large, this is going

21:49

to be a very starchy sugary breakfast.

21:52

It's toast with some jam or a cereal or

21:55

it's bagels.

21:57

That is going to be that is almost pure

21:58

glucose. And so, what do we do? We wake

22:01

up, we eat breakfast, we spike our blood

22:03

sugar levels, and insulin has to come

22:05

up.

22:06

Insulin will take longer to come down

22:08

than the blood sugar will.

22:10

It will wait in the blood to make sure

22:11

that all the blood sugar has gone back

22:13

to normal. So, depending on how much

22:15

carbohydrate we ate for breakfast, it

22:17

could take our insulin levels three or

22:19

even four hours to come back down to

22:21

normal. Long before it's had a chance to

22:23

come back down to normal, we've had a

22:25

mid-morning snack, of course. We need to

22:27

go get a sugary coffee and another bagel

22:30

or something. And so, after just a

22:32

couple hours, we do it again. And once

22:35

again, before insulin has had a chance

22:37

to come back down, we have a starchy

22:39

carbohydrate-heavy lunch, then an

22:41

afternoon snack, and then a

22:43

carbohydrate-heavy dinner, and then of

22:44

course we have to have an evening snack

22:46

before we go to bed. So, the average

22:48

individual is spending every waking

22:50

moment in a state of elevated insulin.

22:53

And thus, the signal never really goes

22:55

away because they they never give

22:57

themselves a break. But one of the

22:59

consequences of that I mentioned, which

23:01

is that it directly causes insulin

23:03

resistance.

23:04

But, when insulin is high,

23:07

it starts to have a signal on the fat

23:09

cell. And that then brings us to the

23:11

slow insulin resistance, where you have

23:14

something happening in the fat tissue

23:16

that begins to set the stage for insulin

23:18

resistance in the entire body. And it

23:20

takes longer to settle in, but it takes

23:22

also longer to go away. That's why I

23:24

call this one slow insulin resistance.

23:27

Now, in the case of insulin,

23:29

most people So, the the the the key with

23:32

the

23:33

Yeah, I'll explain it this way first.

23:34

So, the most relevant feature with fat

23:36

tissue contributing to insulin

23:38

resistance is the size of each fat cell.

23:41

When we typically think of fat, we would

23:43

maybe say, "Okay, Steve has um I'll do

23:47

this in kilos for the UK audience. Steve

23:49

has 10 kilos of fat on your entire body.

23:51

That's probably too much for you. Ben

23:53

has 20 kilos.

23:56

And yet, it's possible that I'm

23:59

healthier metabolically than you.

24:01

Um and that's because it's not the mass

24:04

of fat that matters most. It's the size

24:06

of the fat cell that matters. This is

24:08

why women, despite universally being

24:11

fatter than her male counterparts, are

24:13

healthier with regards to insulin

24:15

resistance and every single metabolic

24:17

problem. It's because women, as a result

24:19

of her particular sex hormones, have

24:22

more fat cells, but they're smaller. So,

24:24

she has more fat, but smaller fat cells.

24:27

And small fat cells are healthy, insulin

24:31

sensitive, anti-inflammatory

24:33

fat cells.

24:35

The but the bigger the fat cell gets,

24:37

the more it initiates a cascade of

24:39

events or a series of events that

24:41

creates insulin resistance.

24:43

Am I right in thinking we have the same

24:44

amount of fat cells for our whole life,

24:46

pretty much?

24:47

That's really, really safe assumption

24:49

for most people. Yeah, for most people

24:51

the a fat cell um sometimes students

24:53

will hear that fat cells are immortal.

24:55

That is not true.

24:57

But, they're long-lived. Fat cells will

24:59

live about 10 years. And so, typically,

25:02

by the time you if you think of if you

25:03

look at a newborn, during infancy,

25:06

childhood, and puberty, the number of

25:08

fat cells is going up up up up up. Once

25:11

they finish puberty, so mid to late

25:14

teens for a young woman, late teens or

25:16

even early 20s for a young man, usually

25:19

at that point the number of fat cells

25:20

they have is going to be very static.

25:22

This is something people don't really

25:23

understand, and I actually need to

25:24

discover it from doing this podcast and

25:26

speaking to so many experts about this,

25:28

that

25:29

we pretty much, especially as an adult,

25:30

have the same amount of fat cells,

25:32

really regardless of what we eat.

25:34

Yes.

25:34

And it's actually just the fat cells we

25:36

have shrinking

25:38

Or growing.

25:38

or expanding.

25:39

Exactly. That's exactly right. Now,

25:42

there are differences across

25:43

makes liposuction a pretty bad

25:46

idea.

25:47

it in fact, it makes things worse.

25:49

Please, let's make sure we come back to

25:50

that.

25:50

Okay, I'll write that on my list.

25:51

Because it really becomes the person

25:54

ends up their vanity ends up really

25:56

ruining their their their future

25:59

metabolic outcomes.

26:00

But, there are differences across

26:02

ethnicity. Like um this is a little

26:04

oversimplified, but not much. On one

26:06

end, you'd have Caucasians, kind of

26:08

northern European Caucasians. On the

26:10

other wind end, you'd have East Asians,

26:12

like uh Chinese, Japanese, uh Korean

26:15

East Asians.

26:16

And And then, if you look at that same

26:18

spectrum of people making fat cells

26:20

through their life,

26:22

an East Asian will be making fat cells

26:24

and then stop right about here.

26:26

About sort of

26:27

So, very few fat cells, relatively

26:29

speaking, across all the ethnicities.

26:31

They have very few fat cells. A

26:33

Caucasian on the other end of the

26:34

spectrum,

26:36

they went way higher.

26:38

And so, this guy, let's say American Ben

26:41

versus Chinese Ben, overly simplified,

26:43

but but here we are. Um

26:45

so much of fat mass isn't the number of

26:49

fat cells, even though American Ben has

26:50

more, it's the size of the fat cell. So,

26:53

I could be the same percent body fat

26:57

really as Chinese Ben,

26:59

um but that would just be because my fat

27:01

cells were just that much smaller. But

27:03

this is the problem then.

27:05

If you have

27:07

let's say American Ben and Chinese Ben

27:09

both gained 10 kilos of pure fat over

27:12

the next 10 years. Very easily done.

27:14

Most people do that quite often.

27:16

Caucasian Ben just doesn't look as good

27:19

in his speedo.

27:20

Um which is a pasty Caucasian, he's not

27:22

going to look particularly good in that

27:23

speedo anyway. But I'm just indulging a

27:25

little more than I was before, but

27:27

otherwise I'm healthy. My blood pressure

27:28

is fine, my blood sugar is fine,

27:30

everything is normal.

27:32

Put that same 10 kilos of fat on Chinese

27:34

Ben,

27:36

hypertension, type 2 diabetes, fatty

27:38

liver disease, infertility.

27:41

Um and that is because Chinese Ben had

27:44

fewer fat cells to start with. And so

27:46

those fat cells, as the body was told to

27:49

store fat, those fat cells were getting

27:51

much, much bigger, much sooner.

27:53

And the fat fat cell

27:56

promotes insulin resistance very, very

27:59

readily. And so that logically moves

28:01

into this the question of what makes fat

28:03

cells grow?

28:05

And it is

28:06

two essential variables that we only

28:09

ever look at calories.

28:10

And yet, if you take a person with type

28:12

1 diabetes

28:14

and say, "I want you to eat 10,000

28:16

calories, but don't give yourself your

28:19

insulin injection." They cannot gain

28:22

weight. It is It is literally impossible

28:25

for the type 1 diabetic to get fat if

28:28

they are skipping their insulin

28:29

injections. In fact, this is so known

28:32

that if you take Let's imagine a young

28:33

woman who would maybe have more pressure

28:35

to be thin than her male counterpart,

28:38

although it's happening more in males,

28:39

too.

28:40

Imagine a young girl who gets diagnosed

28:42

with type 1 diabetes at the age of 13 or

28:44

14. Very impressionable time. She's very

28:47

worried about how how she looks and how

28:49

thin she is.

28:51

She learns that wait a minute, I can eat

28:55

whatever I want and all I have to do is

28:57

not inject my insulin and I'll be as

28:59

skinny as I want and it works. It works

29:01

so well that it's actually a formal

29:03

eating disorder called diabulimia.

29:06

So this the fact that this exists is

29:08

absolute proof

29:10

that the growing and the shrinking of

29:11

the fat cell is more complicated than

29:13

just calories being high or low.

29:15

Because like I had said earlier when I

29:17

talked about hormones, hormones are a

29:19

way for the bot for the very tissues of

29:21

the body to know what it ought to do

29:23

with energy.

29:24

And so a fat cell will have energy all

29:27

around it and if it doesn't have insulin

29:29

to tell it what to do, it won't do

29:31

anything with it. And or maybe to make

29:33

this more direct back home in my lab

29:37

my students my students are growing fat

29:39

cells in Petri dishes. These fat cells

29:41

are swimming in a little sea of

29:43

calories, lots of glucose, lots of fats

29:46

and yet they stay really small

29:49

until we add insulin. The moment we add

29:52

insulin into that little Petri dish, if

29:54

we check those cells 4 hours later,

29:56

they're immediately fatter. If we check

29:58

them 4 hours later, they're fatter

30:00

still.

30:01

Now they know what to do with the energy

30:03

they have. So with slow insulin

30:06

resistance

30:07

it develops when fat cells get really

30:09

really big. It's like a because they

30:12

have to tell insulin, insulin you

30:13

continue you you are telling me to keep

30:15

growing, I can't keep growing. I'm so

30:18

big that I'm going to pop. I mean

30:20

literally the fat cell can get so big

30:21

that it degrades its membrane. It's like

30:23

a water balloon that a naughty little

30:25

boy has overfilled and it's about to

30:27

burst.

30:28

The fat cell doesn't want to burst and

30:30

so it tells insulin, insulin you are

30:32

trying to make me grow. You're telling

30:34

me to grow. I can't listen anymore. I'm

30:37

becoming insulin resistant to stop

30:39

growing.

30:40

So insulin makes you fat?

30:41

Oh very much. Now, if you So, so I A

30:44

moment ago I said that the big fat cell

30:46

has two variables. You must have both.

30:48

You must have both a signal to tell the

30:51

fat cell to get big, which is insulin.

30:53

It is the There's no other signal that

30:54

can do it. You can in a human just

30:57

simply take away the insulin, like type

30:59

1 diabetes. It doesn't matter any other

31:01

hormone in the body, it does not matter.

31:03

They cannot get fat. They could Again,

31:06

they can eat thousand They could eat

31:09

10,000 calories of chocolate cake. They

31:11

cannot get fat. Not only can they not

31:13

get fat, they can't hold on to their

31:14

fat. Cuz if there's no insulin to tell

31:17

the fat cell to hold on to it or get

31:18

big, it has to shrink. It's breaking

31:21

down its fat. So, the body goes into

31:23

such a dramatic fat burning state in the

31:26

absence of insulin that keeping fat

31:28

becomes impossible. So, the insulin

31:30

signal's necessary to tell the fat cell

31:32

what to do.

31:34

But, the fat cell will say, "Okay,

31:35

insulin, you're high. You're telling me

31:37

to grow, but what am I going to grow

31:39

with?" That's where the calories come

31:41

in. Now, the fat cell will say, "Hey,

31:44

fats and glucose in the blood, insulin

31:47

has told me to get big, and so I need to

31:48

pull you in to help me grow. You're

31:51

going to give me the bulk."

31:53

And if you have one without the other,

31:55

it is death.

31:56

So, if I'm eating 2,000 calories and I

31:59

have a different insulin sensitivity to

32:02

you. Say we both eat 2,000 calories

32:04

and I'm insulin resistant, doesn't that

32:07

mean that I will

32:09

You'll store more as fat.

32:11

Oh, okay.

32:11

Yeah. Yeah, so so your body now it would

32:14

partly depend on There are people where

32:17

you you if your if all of your fat cells

32:19

had reached its maximum point, then

32:20

you're done. You're not going to gain

32:22

more fat. You're just going to become

32:23

more and more and more insulin

32:24

resistant.

32:25

Okay, fine.

32:26

So, you kind of start limiting yourself.

32:27

But, there are studies in humans to show

32:30

that if you give humans isocaloric diet

32:33

meals, so the exact same number of

32:35

calories,

32:37

but they in the same amount of protein,

32:39

but you differ those meals based on the

32:41

amount of carbs to the amount of fat.

32:44

So, let's say two meals, exact same

32:46

calories, 2,000 calories, or that's in

32:48

one meal, that's too high. 1,000

32:49

calories in one meal.

32:51

One version of this is the conventional

32:54

way of eating, which is lower fat,

32:56

higher carb.

32:58

The other meal, same number of calories,

33:01

but it's lower carb, higher fat.

33:04

This lower carb, higher fat version will

33:07

have a lower insulin response,

33:11

and they they will store less fat from

33:13

that meal. And their meta- And someone

33:15

would say, "Well, where do the calories

33:16

go?"

33:17

You can't this it's the laws of

33:19

thermodynamics. You can't destroy

33:21

energy. The metabolic rate will go up.

33:24

So, when insulin is low, if you have

33:26

someone going a full day eating the same

33:28

number of calories, but lower carb

33:31

calories, their metabolic rate will be

33:33

almost 300 calories higher in that day.

33:35

And metabolic rate is the

33:37

the total amount of energy that it just

33:39

costs you and I to just live.

33:40

Okay. So,

33:41

It was going through the day. But that's

33:42

But that's a significant amount. Like,

33:44

if you and I were to go exercise and

33:45

say, "Let's go burn 300 calories." We

33:47

got to be on the stair stepper for an

33:49

hour or something. So, it's 300

33:51

calories, but at the same time,

33:53

if your insulin is low,

33:56

you're burning so much fat that you

33:57

start making ketones. And I I don't

33:59

intend to get onto that topic quite yet,

34:01

but suffice it to say,

34:03

every molecule of a ketone has a has a

34:05

caloric load roughly similar to glucose.

34:08

And one of the And And what the body

34:11

when it starts making a lot of ketones,

34:12

it starts eliminating the ketones. So,

34:15

every time someone is breathing out

34:17

ketones, they're literally breathing out

34:19

calories.

34:20

Or they're urinating, and they're

34:21

urinating out ketones if they have

34:23

higher ketones in their blood. They're

34:25

urinating out calories, because ketones

34:27

have energy.

34:29

And so, this is the way that if insulin

34:31

is low, it becomes impossible for the

34:33

body to hold on to its energy. It is so

34:36

determined to spend energy that it will

34:38

both increase metabolic rate, and it

34:40

will make the energy, the calories be

34:42

wasted in the breath and in the urine,

34:46

and and in the form of ketones because

34:48

ketones have calories. Ketones are

34:50

energy. Now we're just dumping them out

34:52

into the universe.

34:53

It's worth, before we talk about how to

34:56

keep my

34:57

insulin levels low so that I can benefit

35:00

from all the health benefits we've

35:01

talked about, it's probably also worth

35:02

just spending a little bit of time

35:03

trying to understand the evolutionary

35:05

basis of insulin resistance.

35:07

There are some theories that are very

35:09

interesting that attempt to explain why

35:12

is it that we became so fantastically

35:14

different from let's say our closest

35:16

animal relatives, other primates like

35:18

chimpanzees or or apes.

35:20

What was the difference that had us

35:22

become so different than them? One of

35:25

the leading theories is a is a theory

35:27

called the expensive tissue hypothesis.

35:31

And it actually does have something to

35:32

do with ketones.

35:34

In the expensive tissue hypothesis, as

35:37

the theory goes,

35:38

our earlier ancestors deviated in this

35:42

kind of animal family line because we

35:44

started eating more meat. We started

35:47

eating food that was so nutritious, so

35:50

nutrient dense, so loaded with good

35:52

calories and all of the fats and

35:54

proteins that we need, that it allowed

35:57

two very distinct changes to occur in us

36:00

compared to other primates. One, our

36:03

intestines became significantly shorter.

36:06

So if you compare the human digestive

36:07

tract to any other

36:09

primate animal, if if we are a primate,

36:12

um then if you look at the intestines,

36:14

they're fantastically different,

36:16

particularly the large intestine or the

36:18

colon. Because

36:21

our ancestors, as the theory goes, began

36:23

eating meat, we didn't need the the as

36:25

much. Um and

36:27

the colon is a place for food to

36:29

ferment.

36:30

And so, if you're eating a lot of plant

36:32

matter, like other primates do, you need

36:34

a much, much larger colon.

36:37

So, we started eating food that was so

36:38

nutrient-dense, our colon shrunk

36:41

considerably. We didn't need to waste

36:42

energy on a big, busy colon. At the same

36:46

time, as we were eating food that was so

36:48

nutrient-dense and so loaded with good

36:50

fat,

36:52

it allowed us to have more time to be

36:54

curious and explore. And so, at the same

36:56

time our intestines were shrinking,

36:58

because we didn't need them to be so

36:59

big, our brain was growing.

37:02

And and it's because it had so much

37:03

nutrition,

37:05

including ketones. So, ketones are

37:08

an extraordinary fuel for the brain. In

37:10

fact, one of the reasons why a baby that

37:13

is born premature

37:15

will be more likely to have learning

37:17

disorders later in life, is because

37:19

premature baby didn't have time to get

37:21

very fat.

37:23

And fat baby is healthy baby. And fat

37:27

baby gets into ketosis.

37:29

Let's say you and I were to to fast

37:31

straight for 2 days.

37:33

If you took a 6-month-old baby, that

37:35

baby would be in a deeper state of

37:37

ketosis in 2 hours than you and I would

37:40

be in 2 days.

37:41

Because the baby is burning so much of

37:43

its beautiful chubby fat, and the more

37:45

the body burns fat, the more it makes

37:47

ketones. And the tissue of the body that

37:50

appears to benefit the most

37:53

in response to ketones is the brain. The

37:55

brain, the moment ketones hit the blood

37:58

stream, the brain immediately starts

37:59

taking in ketones for a fuel. Very

38:02

often, I have students who have had a

38:04

professor, perhaps with the best of

38:06

intentions, but ignorant nonetheless,

38:08

tell the student that the brain the main

38:11

fuel for the brain is glucose, that the

38:13

brain prefers glucose. And I show them

38:15

just one or two papers to prove that

38:17

wrong immediately.

38:19

And it is reflected in in in this idea

38:22

which

38:23

if if to use some convenient UK units,

38:26

if blood glucose is 5 millimolar, that's

38:28

a concentration, a way of measuring an

38:30

amount of of something.

38:32

Blood glucose may be 5 millimolar or 80

38:34

mg per deciliter for the American

38:37

audience. Um that would be a normal

38:39

glucose. And if you and I were to fast

38:41

for 24 or so hours, we may get up to

38:43

about 1 millimolar of of ketones. And

38:47

yet even then, the brain has already

38:49

switched to get the majority of its

38:51

energy from the ketone.

38:54

And so don't tell me that in this

38:56

dynamic the brain prefers this one

38:57

because this one's five times higher

38:59

than this one. And even in that

39:01

scenario, the brain is already getting

39:03

more than half of its energy from the

39:05

ketone. So all of this is my long-winded

39:08

way of saying, when we look at the

39:09

principles of evolution, one of the

39:11

leading theories is this idea that we

39:13

began eating essentially a meat-heavy

39:15

diet that again is so nutritious that it

39:18

allowed our brains to grow. Maybe one

39:20

final point on this, although it is a

39:22

bit of a barbed comment,

39:24

people may find this somewhat amusing or

39:26

disappointing or frustrating, the title

39:29

of a book just published which is that

39:31

vegetarians have smaller brains.

39:33

This is seen in humans that the less a

39:36

human eats meat,

39:39

then the smaller the brain becomes. The

39:41

brain is so dependent on the nutrient

39:43

density that comes from animal-sourced

39:45

foods that it will suffer

39:47

um when it doesn't get them.

39:50

Interesting. I mean, that's a

39:51

controversial thing to say.

39:52

It is, and you can cut it out.

39:54

But it really is it's a real thing. And

39:56

why does depression go up so much when

39:58

people stop eating animal-sourced foods?

40:00

It's because you are depriving the brain

40:02

of what it needs.

40:03

What is it exactly you're depriving the

40:05

brain of in that situation?

40:06

Yeah. Yeah. So at least among other

40:08

things, at least it would be the the

40:09

essential omega-3 fats.

40:12

So there are three omega-3s, and you

40:13

humans can only we can only get one from

40:15

plants, but it's one that the humans

40:17

don't use. We need the other two, and

40:19

they only come from animal source foods.

40:21

And you could supplement.

40:22

Absolutely.

40:23

Right. I mean, that's what I was

40:24

Yeah, you can, but but that that So, the

40:27

the solution in that regard is the vegan

40:29

must be educated enough to know what

40:30

they're deficient in, and then wealthy

40:33

enough to afford the supplements to make

40:34

up for it.

40:36

So, is that the the only evolutionary

40:39

sort of hypothesis towards why we

40:41

develop this insulin resistance?

40:43

Mm. Oh, yeah. In fact, it's funny that

40:45

you bring the question up again because

40:46

I realized I didn't quite answer it that

40:48

way. So, insulin resistance, why would

40:50

it exist at all? It would probably be a

40:53

way for the body to know when it was

40:55

needed to hold on to energy a little

40:57

better.

40:58

So, now Now, I say that now, and and

41:01

someone would think, well, but you just

41:03

why would I want to hold on to energy in

41:05

a way where it's causing hypertension

41:07

and Alzheimer's disease and increasing

41:08

the risk of heart disease?

41:10

Not all versions of insulin resistance

41:13

are negative. So, there is um there is

41:17

what all the insulin resistance that you

41:19

and I have been talking about is

41:20

pathological insulin resistance, or

41:22

harmful insulin resistance. Insulin

41:25

resistance that serves no good purpose,

41:27

and it's making us sick.

41:29

However, there is insulin resistance in

41:32

human development, which is

41:34

physiological, or helpful. It's supposed

41:36

to happen. And that is the two P's of

41:40

physiological insulin resistance,

41:41

puberty

41:43

and pregnancy. Because in both of those

41:45

instances, as we outlined earlier, when

41:47

the body's insulin resistant, insulin is

41:49

high.

41:50

That's not always bad, because insulin

41:53

wants things to grow.

41:55

It is like a fertilizer in the body.

41:57

Now, sometimes it's misplaced, and

41:59

results in problems, like increasing the

42:01

risk of cancer, for example.

42:03

But in other instances, if you have a

42:04

young child who needs some explosive

42:06

growth during puberty,

42:08

well, then that's really helpful.

42:10

Insulin's telling the body to store more

42:12

energy, to build up tissues, including

42:14

muscle and bone, but also including fat.

42:17

So, in pregnancy, insulin's playing a

42:19

role in growing the placenta.

42:21

is.

42:21

The breasts.

42:22

Yes, so in the woman, after she's

42:24

finished puberty, the only other time of

42:26

growth she'll ever have will be

42:27

pregnancy. And and so, those are the two

42:30

instances where the body has become

42:31

insulin resistant to take advantage of

42:34

the heightened scenario where it can

42:35

grow.

42:36

Because the woman's body needs to more

42:38

fat.

42:38

goodness, yes. Yes, so her body not only

42:40

needs to grow tissue mass, like the

42:42

uterus has to get much bigger. She has

42:44

to grow a placenta. She also needs to

42:46

become a little insulin resistant to

42:48

give a little more glucose to her baby,

42:50

because she is after all now living for

42:52

two people. And so, as she as her body

42:55

becomes insulin resistant, it actually

42:57

facilitates the growth of the baby a

42:59

little more rapidly. But as you noted,

43:01

it helps her store more fat, and

43:03

progesterone is another hormone that

43:05

even accelerates that process.

43:08

But basically, it's the her way of her

43:11

body's way of saying,

43:12

"Hey, I am committing to growing another

43:15

human, and it's going to be

43:17

metabolically very demanding, and so I'm

43:19

going to have as much extra fat or much

43:22

as much extra energy as I can in order

43:24

to ensure that if there's any sort of

43:27

scarcity in food that happens during the

43:29

course of the pregnancy, I'll have

43:31

enough energy to get through it all. And

43:33

then maybe I'll even have enough to

43:35

continue to feed the baby with lactation

43:38

after the baby's born."

43:39

What is gestational diabetes?

43:41

Yeah, it's a great question. Gestational

43:43

diabetes is essentially type 2 diabetes

43:46

of pregnancy. So, it's perfectly timed

43:49

question because

43:51

if you look at the average woman um who

43:53

is very healthy, very insulin sensitive

43:55

at the beginning of her pregnancy. So,

43:57

glucose is normal and insulin is normal.

44:01

Over the course of her pregnancy,

44:03

she stays normal healthy pregnant woman,

44:06

which is to say she has physiological

44:08

insulin resistance. She doesn't get

44:10

diagnosed with gestational diabetes

44:12

though, which means her glucose is

44:13

normal. But to keep her glucose normal

44:16

because she is insulin resistant, but

44:18

for a purpose to help her body grow, her

44:20

insulin levels are high. And then the

44:22

glucose is still in a normal range. And

44:25

then in some women, especially if she

44:28

has a family history of type 2 diabetes,

44:30

the insulin resistance goes too far.

44:33

Now, she has high insulin, like all

44:35

pregnant women do, but she's not able to

44:37

keep her glucose levels in check.

44:40

So, if I'm eating loads and loads of

44:42

sugar throughout pregnancy,

44:43

That will compound the problem.

44:45

Absolutely. So, then she will go from

44:47

the normal insulin resistance of

44:48

pregnancy into the insulin resistance of

44:51

diabetes. So, it really is like type 2

44:53

diabetes, but a microcosm of it, a mini

44:56

version that was really instigated or

44:59

initiated because of the pregnancy

45:00

combined with a bit of a genetic

45:02

predisposition combined with her eating

45:04

the worst possible way.

45:06

Does that then impact the future baby?

45:08

Oh, for sure it does. Yeah. So, think

45:10

about it's almost like the baby is

45:12

develop literally developing in a

45:14

hyperglycemic hyperinsulinemic

45:17

environment. So, the baby's get the baby

45:19

gets hardwired

45:21

to want to continue to exist in a state

45:23

of high insulin and high glucose after

45:25

the baby is born. And so, yes, the

45:27

offspring of mothers who have

45:29

gestational diabetes are significantly

45:32

more likely to gain weight and be

45:34

chubbier or fatter than their

45:36

counterparts and to later develop type 2

45:38

diabetes. Yeah, a resounding yes.

45:40

I read in your book that these infants

45:41

have a 40%

45:43

higher chance to be obese and have

45:44

metabolic complications in their teenage

45:46

years and beyond.

45:47

Yes, I mean a significant thing and I I

45:49

say that with all of the sympathy I can

45:51

for the mother who may be struggling

45:52

with this, but it is certainly a

45:54

motivation for mom to just be mindful of

45:58

what you're eating.

46:00

One of the things that that I saw the

46:01

other day on social media, which I

46:03

wanted to ask you about, was this. I've

46:05

got a picture of it here.

46:07

Um

46:08

it was someone online that posted this

46:10

photo, and they said, well, this graph,

46:14

and they said, we need to figure out

46:15

what's going on here. Um this is the

46:17

graph. I'll put it on screen for anybody

46:19

that's watching, but also it'll be

46:20

linked in the comments section below.

46:22

Um it essentially shows that over the

46:25

last, let's say, 20 years, there's been

46:28

a really significant rise in cancer

46:31

amongst women, but when we look at

46:33

cancer amongst men, it's pretty flat.

46:35

Mhm.

46:35

Um and this is cancer incidence by age

46:39

and gender up to 49 years old.

46:42

Mhm.

46:42

And I was wondering if you had any

46:43

thoughts on why this is happening.

46:45

Yeah. Yeah. Yeah, a few thoughts come to

46:48

mind. Um whenever I see these kinds of

46:50

reports, I always make sure I look

46:52

firstly at the What are they actually

46:53

measuring? So, just to set the stage,

46:56

this is the number of women who are

46:57

being diagnosed with cancer, so not

46:59

dying from cancer, but it's going up.

47:01

So, one one simple explanation, although

47:04

perhaps the most disappointing, could be

47:06

that more women are going in for testing

47:09

younger, and so we're just seeing kind

47:11

of an artifact of more women are just

47:13

going in sooner, and they're detecting a

47:15

problem that they wouldn't have

47:16

otherwise detected, you know, for 10 or

47:18

20 years. And which is a good thing. You

47:21

want to detect cancer as soon as

47:22

possible. So, that's the boring answer,

47:24

that it could be a reflection of just

47:25

more women going in for ultrasounds or

47:28

MRIs or mammary scans, whereas men don't

47:32

ever get tested for anything,

47:34

which is why we die more from

47:35

everything, possibly. But to give a more

47:38

exciting answer, this is very, very

47:41

likely almost entirely driven by breast

47:43

cancer. Um breast cancer is the main

47:45

cancer for women um by far. And so, if I

47:49

had to guess, I bet almost all of this

47:51

increase in cancer incidence is because

47:53

of breast cancer. Why might that be

47:55

going up? I would suggest there's

47:57

probably a couple instances. One, um

48:00

although people might not appreciate

48:02

this, is that one of the best ways for a

48:04

woman to reduce her risk of breast

48:05

cancer is actually having babies. It's

48:07

very well known,

48:09

um very well documented, that if a woman

48:11

um has a fam- it has babies and

48:13

breastfeeds, her risk of um breast

48:15

cancer goes down.

48:17

So, yeah, in fact, it's very meaningful.

48:19

I actually don't know um the reasons for

48:21

it. It could be the changes in estrogens

48:23

during lactation phase.

48:25

I've just I've just actually done a

48:26

quick search here to I put a picture of

48:29

that graph into AI and asked it the same

48:31

question, and it said pretty much what

48:32

you said. It said, "There's a rising

48:34

breast cancer incidence according to

48:35

Cancer Research UK." The other one that

48:37

it came up with is obesity trends.

48:39

Oh, yeah. I promise I was going to talk

48:41

about that. I wouldn't leave that. Yeah.

48:43

Sorry for interrupting there.

48:44

No, no, no problem.

48:45

Uh and then the other one was delayed

48:46

childbearing.

48:47

That's what I'm saying.

48:48

Which is what you were saying.

48:49

Yeah, so as child rates as childbirth

48:51

rates are going down, it does increase

48:53

the risk of breast cancer. Now, as I I'm

48:55

a cell biologist, right? I like to

48:57

understand the direct mechanism. And so,

48:59

as much as I invoke the perhaps lower

49:01

rates of childbirth among women, I don't

49:03

know the mechanism, so I'm sort of loath

49:05

to describe it. The mechanisms I'm very

49:07

familiar with are the metabolic,

49:09

um which is if you take a breast tissue

49:13

that is tumor tissue and compare it to

49:16

like if you take a breast tumor and

49:18

compare it to the normal tissue right

49:19

next to it, like that it would have

49:21

shared its origins with, the cancer from

49:24

the breast will have seven times more

49:26

insulin receptors than the normal breast

49:29

tissue. So, the idea of this tracking

49:32

quite nicely with obesity rates going up

49:34

over the past 20 years, I wouldn't say

49:36

that it's the obesity per se, but I

49:38

would say it's the entire metabolic

49:40

milieu, which is the insulin resistance,

49:43

that as much as the high insulin is

49:44

promoting fat cells getting bigger, that

49:47

high insulin is also accelerating the

49:49

growth of the tumor cells. Because

49:51

again, the main one of the main

49:53

mutations in breast cancer is a

49:55

sevenfold so a seven times increase in

49:58

the number of insulin receptors. And

50:00

insulin wants to tell things to grow. So

50:02

it's no surprise that almost every tumor

50:04

that's ever been measured for having

50:06

insulin receptors will have a lot more.

50:09

It's basically telling its neighboring

50:11

cells, "Insulin's going to come by and

50:13

it's going to tell us all to grow. I

50:15

want to grow more than you." And that's

50:17

what cancer is. Cancer is growth,

50:18

unregulated growth. Insulin tells things

50:21

to grow. So the connection between

50:23

obesity with the rising incidence of

50:25

breast cancer is very, very likely a

50:29

consequence of the rising incidence of

50:31

insulin resistance.

50:32

As you guys know, Whoop is one of my

50:34

show sponsors. It's also a company that

50:36

I have invested in and it's one that you

50:38

guys ask me about a lot. The biggest

50:39

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50:41

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50:44

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50:45

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50:52

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doesn't have a screen. And Will Ahmed,

50:57

the CEO who came on this podcast, told

51:00

me the reason that there's no screen.

51:02

Because screens equal distraction. So

51:04

when I'm in meetings or I'm at the gym,

51:06

my Whoop doesn't demand my attention.

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51:26

Let me know how you get on.

51:29

You know, one of the big subjects you

51:30

touched on at the start was the was

51:32

Alzheimer's and dementia.

51:34

Yes.

51:35

And I have heard several people on this

51:36

podcast tell me that they think of

51:38

Alzheimer's as type three diabetes.

51:44

Worldwide, there is a new case of

51:46

dementia every 3.2 seconds.

51:49

Um it seems like I don't know if this is

51:51

true, but is Alzheimer's and dementia on

51:52

the rise?

51:53

Oh, yes. Yeah, it is. In fact, it went

51:55

from not being even on the radar to

51:57

being a top 10 killer.

51:59

Um now, it's interesting how people even

52:01

die from Alzheimer's disease. It's a

52:02

very kind of vague death.

52:05

But yeah, Alzheimer's disease is one of

52:06

the top 10 diseases now. Um certainly in

52:08

the West.

52:10

Um and and I would argue it's because it

52:11

has a metabolic origin. Now, one of the

52:13

interesting things about Alzheimer's

52:15

disease is we have spent

52:18

billions of dollars on Alzheimer's

52:20

research trying to identify the the

52:23

plaque. So so just to set the stage here

52:26

so that people listening can appreciate

52:28

this this paradigm shift that's occurred

52:31

in Alzheimer's research. Originally, and

52:34

even in many people still, people

52:36

thought that Alzheimer's disease is the

52:38

result of these plaques accumulating in

52:40

the brain. These kind of little

52:41

proteinaceous little

52:44

thick things that are preventing neurons

52:45

from sending the signals throughout the

52:47

brain for the brain to think and and and

52:49

have normal cognition.

52:51

And and yet, there are those of us and I

52:53

am proud to say I have long been one of

52:55

them

52:56

who has said that the plaque-based

52:57

theory doesn't make sense. We have had

53:00

drugs that have been available for human

53:02

use for years that have effectively

53:05

reduced plaques in the brain and yet did

53:08

nothing to improve cognition. So that is

53:10

an immediate challenge of the

53:12

plaque-based theory of Alzheimer's. Even

53:14

further,

53:15

even beyond older than that evidence,

53:18

when you would look

53:20

postmortem or look at tissue donor,

53:22

people who passed away, you would look

53:24

at the brains of people who died with

53:26

confirmed Alzheimer's disease at the

53:28

time of death

53:29

and look at the brain of someone who

53:31

died without any evidence of any

53:33

cognitive decline or any compromised

53:35

thinking whatsoever. And you would be

53:37

just as likely to find plaques in both

53:39

brains.

53:40

So the So whether the brain had

53:42

Alzheimer's disease not, you would still

53:43

see plaques in the brain. So the whole

53:45

idea that plaques mattered has long been

53:48

controversial. And just to put a fine

53:50

point on it before transitioning to the

53:51

metabolic origins,

53:53

about two or three years ago,

53:56

they found out that the very first

53:59

published papers that implicated plaque

54:02

as a cause of Alzheimer's disease were

54:04

based on fabricated data.

54:06

So the scientists who published those

54:08

first reports that led to the entire

54:10

theory that Alzheimer's disease is

54:12

plaque-based

54:13

were called out as fraudulent. And and

54:15

indeed, all of it was fabricated. So the

54:18

entire idea that Alzheimer And and we

54:20

have spent billions of dollars on

54:22

studies to try to

54:23

how determine how do plaques cause cause

54:26

Alzheimer's disease? Why when we reduce

54:29

plaques, it doesn't appear to help the

54:30

disease.

54:32

Because the plaques had nothing to do

54:33

with it. That's just something that some

54:35

brains have. Some brains have more of

54:37

these little specs than other brains,

54:38

and they don't contribute to Alzheimer's

54:40

disease at all.

54:41

Now, what did

54:44

can what kept rising to the top, and I

54:46

would hope now is the dominant theory,

54:48

is that people with Alzheimer's disease

54:50

almost always have some detectable

54:53

instance of insulin resistance, if not

54:55

full-on diabetic type 2 diabetes. Now, I

54:58

will say personally, I don't like the

55:01

term type 3 diabetes because it makes it

55:03

sound

55:04

like it's a whole new version of

55:06

diabetes.

55:08

To say it more succinctly and

55:09

accurately, it is simply insulin

55:11

resistance of the brain. And the brain

55:14

is a very hungry organ.

55:16

It is in what I teach as as a tri a

55:19

trinity of high metabolic rate organs.

55:22

That there are three organs in the body

55:24

whose metabolic rate is so high that it

55:26

just really sets it apart from

55:27

everything else. And the brain is one of

55:29

them. The brain has a very high

55:31

metabolic rate. So this is a very hungry

55:34

organ that that a lot of energy all the

55:36

time.

55:37

But the brain is unique in that it

55:39

primarily will only use two fuel

55:41

sources, and I've mentioned them, namely

55:42

glucose and ketones.

55:45

But glucose in that section of the brain

55:48

that gets compromised with Alzheimer's

55:50

disease, the glucose can't just come

55:52

straight in. It needs someone to open

55:54

the door for it, and that is insulin, of

55:57

course, just like we described with the

55:59

muscle cell.

56:00

Where in order for the glucose to go

56:02

into the muscle, insulin had to come and

56:04

knock on the door, if you will. And then

56:06

the muscle, being a polite, responsive

56:08

host, would open and allow the glucose

56:09

to come in. The brain is similar.

56:12

That in that section of the brain, it

56:14

has doors that need insulin. It's locked

56:17

until insulin comes and opens them. So,

56:19

even though glucose levels may be high

56:21

in the blood,

56:22

like in type 2 diabetes, you would

56:24

think, "Well, the brain can just get all

56:26

the glucose it wants." And yet it cannot

56:28

because it has insulin regulating the

56:31

entrance of the glucose. And if the

56:33

brain is insulin resistant, there's not

56:35

enough glucose coming in. And thus the

56:37

brain is forced to rely on the only

56:39

other fuel that it can rely on, namely

56:42

ketones.

56:43

But the same person who's eating all the

56:45

time to keep their blood glucose high

56:47

all the time has so much insulin in

56:49

their blood that they're never making

56:51

enough ketones to fill the gap. You

56:53

know,

56:54

mind the gap, and the brain has an

56:56

energy gap now. And where where the

56:59

brain needs, you know, an amount of

57:01

energy, I'm kind of acting it out for

57:03

those that are watching, but the brain

57:04

has a certain energy demand that it

57:05

needs. And if there's a lot of glucose

57:08

in a healthy insulin-sensitive person,

57:10

glucose will fill all of that need. But

57:12

as the brain becomes progressively

57:14

insulin-resistant, it cannot get all of

57:17

its energy from glucose. And thus

57:19

there's an energetic gap.

57:21

And in the absence of ketones, there's

57:23

nothing to fill that gap, and the brain

57:25

says, "Well, I don't have enough energy

57:27

to keep functioning as well as I did

57:28

before, so I have to reduce my function,

57:31

which manifests as a reduction in the

57:33

ability to think and process. In other

57:35

words, cognition goes down. But, what's

57:38

so interesting

57:39

is I just got finished describing a

57:41

scenario that scientists refer to as

57:43

brain glucose hypometabolism,

57:47

or a reduction in the amount of glucose

57:50

the brain is using. There are scientists

57:52

that measured this. We don't in my lab

57:54

because we don't do these kinds of

57:55

techniques, but you can actually infuse

57:58

people with a glucose that you can take

57:59

pictures of and see how much the brain

58:02

is taking it in and metabolizing it. In

58:04

Alzheimer's disease, the brain is not

58:06

getting as much glucose, so they call

58:08

that a hypo, or a reduction in

58:10

metabolism of glucose.

58:12

And as much as you and I are describing

58:14

that scenario as relevant for

58:15

Alzheimer's disease, you can essentially

58:17

open up the book of neurological

58:19

disorders and see the same thing.

58:21

Depression

58:22

has a brain glucose hypometabolism to

58:25

it. Migraines have a brain glucose

58:27

hypometabolism.

58:29

Epilepsy um and Parkinson's so all of

58:32

these disorders of the brain, of the

58:34

central nervous system, the one thing

58:36

they all have in common is the brain

58:38

isn't getting enough energy from

58:40

glucose.

58:42

And another way of saying that is the

58:43

one thing all of those seemingly

58:45

unrelated brain problems have in common

58:47

is that they all have some degree of

58:48

insulin resistance. But, then it's no

58:50

surprise that they all benefit

58:53

when ketones can swoop in to save the

58:55

day.

58:56

Um but that only can happen if the

58:59

person is giving their body a break from

59:01

the insulin long enough to actually

59:03

start making ketones.

59:06

Really, really interesting on this point

59:07

about Alzheimer's because I don't think

59:09

people have spent enough time talking

59:10

about the link between insulin

59:12

resistance and Alzheimer's. Um

59:15

and

59:16

one of the things I was I was looking at

59:18

there was how many people with

59:20

Alzheimer's have meet the criteria for

59:22

insulin resistance.

59:24

And some studies have it at 40%. There's

59:26

a study I found here that has it at 70

59:28

to 80%.

59:30

Um which I wanted to cite. Um

59:33

Exact percentages vary, but one example

59:35

is a study in the Journal of Neurology

59:38

in 2011 that found insulin resistance at

59:40

approximately 40% of individuals with

59:42

Alzheimer's.

59:43

Um but another study

59:44

uh in Alzheimer's patients sometimes

59:46

found it to be as high as 70 or 80%. For

59:48

instance, research by Dr. Suzanne de la

59:51

Monte

59:52

Mhm.

59:53

at Brown University has drawn attention

59:54

to the concept of type 3 diabetes.

59:58

Yeah, again, I don't love the term, but

59:59

I appreciate the use of it, which is it

60:02

does suggest a metabolic origin. But

60:04

even you look at those ranges, Stephen,

60:05

you'd say, "Well, one was 40, one was

60:07

80. Boy, what a difference." I suspect a

60:09

lot of that is just how did they measure

60:11

insulin resistance? If they were looking

60:13

at the glucose like so many do, you're

60:15

just going to miss a lot of people.

60:17

Yeah, it's quite hard to

60:19

I think there's different criteria,

60:20

right, for how one defines someone as

60:22

insulin resistant.

60:23

Well, there Yeah, and that's just that's

60:24

right. That's because there's not enough

60:26

training, which is at the beginning of

60:27

the conversation you asked my mission.

60:29

One of my missions is to help people

60:31

learn what to look for.

60:32

What do they need to be looking for?

60:34

Yeah, they need to be looking at

60:35

insulin. So

60:36

Is that easy to measure?

60:38

Well, it is technically easy to measure.

60:40

It's just that we have we don't have

60:41

enough systems in place to allow to

60:43

enable it. Like again,

60:45

if if someone listening in the UK were

60:48

to go to their GP and say, "Can you

60:50

measure my insulin?"

60:51

In many instances, they literally can't

60:53

get it done. The system just isn't in

60:55

place to take it to the lab and and

60:57

measure it. Now, some do. I know some

60:59

physicians in the UK who do so, and they

61:01

have developed their own way of getting

61:03

it done, and they're incredible

61:05

advocates of this whole idea. But it is

61:07

harder in the UK and Canada um where the

61:11

system is such that they have said, out

61:13

of ignorance, but perhaps well-placed or

61:15

or well-intentioned, they will say,

61:17

"Well, insulin isn't a marker that

61:19

matters."

61:20

It is. And if you're measuring insulin

61:22

resistance, just to put things back to

61:23

where we had talked about it earlier,

61:26

many people with insulin resistance have

61:27

normal blood glucose levels. It's the

61:30

insulin that's high. And so, I would say

61:32

if a person can get their insulin

61:34

measured, get it measured. In US units,

61:37

if it is anything above about 10 micro

61:39

units per mil, that's a warning. In UK

61:42

units, if it's anything above about 40

61:44

picomoles, that's a warning. Insulin is

61:47

high, you could have insulin resistance.

61:50

And you could be skinny

61:52

Oh, yes.

61:52

and have insulin resistance.

61:53

Yes, that's especially depending on the

61:55

ethnicity. Like if someone listening to

61:57

this is East Asian and they say, "Well,

61:59

I'm quite thin. I don't have insulin

62:01

resistance." You very well could. Um it

62:04

it depends. Even in in young women, a a

62:06

group out of northern Canada,

62:09

which is of course pretty far north,

62:11

they found that even in young healthy

62:13

weight women with PCOS,

62:15

they if they compared them to their

62:17

identically matched other women without

62:19

PCOS, they were more insulin resistant

62:22

in the other group. So so anyway, that's

62:24

my

62:25

way of saying even if you look at

62:27

yourself and think, "Well, I'm kind of

62:28

lean. I'm not insulin resistant." You

62:30

very well could be.

62:31

Okay, so I've got a friend who's a a

62:33

woman

62:34

Mhm.

62:34

who has PCOS.

62:36

Yeah.

62:36

And one of the things that she often

62:38

says to me is that

62:39

she gains weight easily. Is this true?

62:42

Oh, for sure. And in fact, I wouldn't be

62:44

surprised if she does because the fact

62:46

that she has PCOS is not absolute

62:49

evidence, but very likely evidence that

62:52

she has insulin resistance, which would

62:54

mean at any given moment her insulin is

62:57

at the risk of being a little higher

62:58

than her non-insulin resistant

63:00

counterparts.

63:01

So if she goes and gets the test done,

63:03

I bet her insulin would be high.

63:05

Um and so, all that would mean is which

63:08

is good. I mean, knowledge is power. And

63:10

my hope would be that as someone goes

63:12

and gets their insulin measured, and

63:13

there are a handful of other tests they

63:15

could also look at, but that's the most

63:17

succinct. Then it would be all the more

63:19

impetus or encouragement to say, "Okay,

63:22

I heard I listened to Steven and Ben. I

63:24

really do need to start making some

63:25

changes." And even in PCOS,

63:28

there are reports that document the

63:31

absolute reversal of the disease with

63:33

nothing more than just dietary changes.

63:36

I was looking also at second here cuz we

63:37

mentioned ethnicity a few times and it

63:39

says the research I was looking at says

63:40

that East Asians have East Asians have

63:43

fewer fat cells and they're more

63:44

resistant to obesity-related metabolic

63:47

issues.

63:48

Well, that's second part of that

63:50

statement is not true. They're more

63:52

resistant to obesity,

63:54

but they are like if it's an interesting

63:56

dichotomy cuz

63:57

Right. Okay, I got you.

63:58

Yeah, so they're more you you like to

63:59

find a Japanese man who's as fat as the

64:02

average American, boy, you're going to

64:03

have to look. It's hard. It's hard, but

64:05

to find a Japanese man who has is just

64:08

as much likely to get diabetes, type 2

64:10

diabetes, very easy.

64:12

Africans have

64:14

more fat cells typically?

64:15

Yeah, so so on that ethnicity, if now

64:18

there's a lot of kind of wiggle room

64:20

here, but on one end we'd have

64:21

Caucasians, blacks would be right

64:24

nearby. African ethnicities would be

64:25

quite close

64:27

um to the to the kind of northern

64:29

European ethnicity. And then we would

64:30

move through and and I don't mean to

64:32

miss anyone here, but on the other end

64:34

it would be East Asian and then

64:36

sprinkled through that would be um

64:39

uh

64:40

Latino.

64:41

Latino would be somewhere in the middle

64:43

and Hispanic. And then other Southeast

64:45

Asian and then East Asian kind of on the

64:47

worst end or the least sensitive or the

64:50

most sensitive to their fat. The most

64:52

sensitive to their fat. This actually is

64:54

a concept that has been presented called

64:56

the personal fat threshold, which is

64:59

this really interesting idea born from a

65:01

group in Australia suggesting that

65:03

across every individual body, which of

65:06

course is heavily influenced by both

65:07

ethnicity and sex, like we mentioned

65:10

earlier, a body is going to have a rate

65:12

at which it can store fat in a healthy

65:15

way. And then once that threshold is

65:17

met, any further pressure to store fat

65:20

will start creating insulin resistance.

65:22

And that threshold is essentially

65:24

how big, how many fat cells do you have,

65:26

and how much room do they have. So if

65:28

you have more fat cells, you have a

65:30

higher fat threshold. You can get fatter

65:32

before it starts to hurt you.

65:34

Does your fat distribution also matter

65:36

here? Because

65:37

does.

65:37

different races, this research is

65:40

telling me

65:41

have different fat distribution. It's

65:43

saying that Africans have better fat

65:45

distribution, lower visceral fat, and

65:48

less metabolic risk because of that.

65:50

Yeah, yeah, yeah.

65:51

Caucasians moderate fat cell quantity,

65:53

more prone to subcutaneous fat

65:55

accumulation, which

65:55

Subcutaneous.

65:56

Which is that's the fat around the

65:57

organs.

65:58

Yeah, so Caucasians and so so let's say

65:59

northern European African, both store

66:02

more of their fat subcutaneously, which

66:04

is the fat just beneath the skin, or the

66:06

fat that you can pinch and jiggle.

66:08

That has an ability to expand more

66:10

because there's nothing really to limit

66:11

it. Um however, the other place for

66:14

people to store fat is their visceral

66:16

adipose, which is the fat that is tucked

66:18

within the abdominal cavity, so tucked

66:21

around the organs. It's sort of

66:22

surrounding the kidneys and the

66:24

intestines and the liver. That is an

66:26

unhealthy place to gain fat, but an East

66:28

Asian, all things equal, is putting much

66:31

more fat there than they are

66:33

subcutaneously. The advantage of

66:35

subcutaneous fat is

66:37

Which is the fat on the outside.

66:38

Yeah, yeah, so the the fat beneath the

66:40

skin. Yeah, the yeah, the loose belly

66:42

fat, the fat that can pinch and jiggle.

66:44

That fat has a greater ability to make

66:46

new fat cells. So as much as earlier you

66:48

and I said fat cells remain static, for

66:50

the most part they do, there's a little

66:52

bit of wiggle room, where it can go up.

66:54

And that's purely subcutaneous.

66:57

And Hispanics have higher fat cell

66:58

quantity, more visceral fat,

67:00

Yes.

67:01

and increased risk of obesity related

67:03

conditions.

67:03

Yes, and so the problem with visceral

67:04

fat is this is such a finite space.

67:07

There's so little room within the core

67:09

of your body that if we allowed those

67:11

fats to multiply, it could theoretically

67:14

start physically compressing on tissues.

67:16

Right.

67:17

And so those fat cells only grow through

67:20

hypertrophy, which is the thing we

67:22

talked about earlier with slow insulin

67:24

resistance. Subcutaneous fat cells are

67:26

more abundant but smaller. Visceral fat

67:29

cells are fewer but much larger. And so

67:32

any ethnicity including Hispanic or

67:35

Asian that promotes relatively more fat

67:37

storage in the visceral space is going

67:40

to suffer from the consequences of that

67:41

fat much sooner. And again, it still

67:43

comes back to size. The bigger the fat

67:46

cell, the sicker the fat cell.

67:48

According to Alzheimer's Disease

67:49

International, the total number of

67:50

people living with dementia globally is

67:52

expected to reach 139 million by 2050,

67:55

which is up from around 55 million in

67:57

2020. Which I imagine is in part

68:01

related to people living a bit longer

68:03

than they once did as well.

68:05

Although although over the past few

68:06

years, life expectancy actually turned

68:07

down for the first time in the history

68:09

of modern

68:11

world. So who knows if it will continue

68:13

to go up, but yeah. It could be people

68:15

are living longer. I mean one of the

68:17

effects of modern medicine is that

68:19

people live longer with disease.

68:22

Um Alzheimer's included, but it's

68:23

absolutely a consequence further of our

68:26

overall metabolic milieu that we put

68:28

ourselves in a position where we are

68:30

making our brains insulin resistant and

68:33

thus they're going hungrier and

68:34

hungrier.

68:35

There's a study you talk about

68:38

which you've cited before that shows

68:39

that if you move visceral fat from an

68:43

obese animal to a lean animal, this

68:45

immediately caused insulin resistance.

68:48

Yeah. In the animal that received it.

68:50

Okay.

68:51

Yeah, so just to be clear, if if we took

68:54

what they did in the study just to

68:55

reflect why or that different depots of

68:58

fat are harmful. And so the the human

69:00

body has two distinct fat depots, and

69:01

you and I described them subcutaneous,

69:04

which is the fat beneath the skin, or

69:05

visceral, which is the fat tucked within

69:07

the organs of the abdominal space.

69:10

And if you move subcutaneous fat,

69:14

Which is like the belly fat?

69:15

The belly fat, and and from one animal

69:17

to another, you couldn't do this in

69:18

humans, if you move belly fat, if you

69:20

will, or subcutaneous fat from one

69:22

animal to the other, the animal's very

69:24

healthy. It's no problem. Subcutaneous

69:26

fat is inert. It really is just sort of

69:29

hanging out there and minding its own

69:30

business. But, in that same study, if

69:32

you move the visceral adipose over, now

69:35

all of a sudden that animal that got

69:37

that extra dose of visceral fat is going

69:39

to become sicker. It's going to become

69:41

more insulin resistant and diabetic

69:43

because you've increased its visceral

69:45

fat the amount of fat that it has in

69:47

that space.

69:48

The body wants to limit the amount of

69:50

fat that it has there because if the

69:52

fat, again, if the fat grows too much,

69:55

you can physically start compressing and

69:57

squishing organs that you need to be

70:00

functioning, like the kidneys and the

70:01

intestines.

70:02

Have you seen Bryan Johnson?

70:04

I have. I don't know him personally, but

70:06

You've seen the documentaries and stuff

70:07

made about him and the the work that

70:09

he's doing. What do you make of what

70:10

he's doing to extend his age? Cuz, you

70:12

know, one of the subjects that I think's

70:13

linked to this is the idea of longevity

70:16

and aging, and he's become a bit of a

70:18

poster child for the subject of

70:19

longevity.

70:20

Right, right. Well, I want to address

70:22

this cuz this is a real person, so I

70:23

want to address it very politely and

70:25

diplomatically. I think that I want to

70:28

distinguish the difference between

70:30

longevity research and science, which is

70:32

a very real, living, breathing field,

70:34

and I'm proud to know individuals who

70:36

are longevity scientists, and

70:38

distinguish them from

70:40

um longevity

70:42

you said poster child, so the the gurus

70:44

of longevity, and that's not the same

70:46

thing. So, what I say, I don't mean to

70:48

it to be an indictment of longevity

70:50

research, but I don't mind if people

70:52

hear a bit of an indictment in my voice

70:55

of the modern longevity guru approach.

70:59

So, these individuals, and he is

71:00

certainly the most well-known, they do

71:03

have the advantage of never really

71:06

being able to be proven wrong. You know,

71:08

so there's an inherent problem here.

71:10

But, I will say that the the application

71:13

of

71:14

being a longevity

71:16

expert or not a scientist, but a guru,

71:19

and I don't mean for that to be

71:20

negative, but it does have a bit of a

71:22

negative sound to it, is that you have

71:24

to rely on

71:26

what I would call weak evidence. Now,

71:28

what do I mean by that?

71:30

Uh so, all of the approaches to

71:32

longevity nowadays rely on either

71:34

correlational studies

71:36

or

71:37

basic research or animals and insect

71:39

studies.

71:40

And then extrapolating that results or

71:42

assuming those same results will apply

71:44

to the human. So, let me briefly just

71:45

mention my concerns with correlational

71:47

research.

71:48

So, the longevity guru will say,

71:51

"Correlational evidence suggests that

71:53

people who eat meat

71:55

um die more."

71:57

Well, a correlational study is, by my

72:00

estimation, some of the weakest evidence

72:03

that you can ever generate. A

72:04

correlational study would just have

72:06

someone come to your home and say,

72:07

"Steven, can you please answer this

72:08

survey about what you eat?"

72:11

You answer the survey. You may lie. You

72:13

may not remember.

72:14

You may have things that you don't even

72:16

think about including, like, for

72:18

example, that you're part of a very

72:20

um well-put-together religious

72:23

organization. And I actually used that

72:24

example very deliberately because people

72:27

who are known to be

72:28

part of good tight social circles, like

72:30

a formal religious group, always live

72:32

longer than people who don't. Maybe

72:34

you're really lonely. Loneliness is a

72:37

greater contributor to death than

72:39

cigarette smoking, and it's not even

72:40

close. So, there could be things on that

72:42

survey that you just cannot capture. And

72:45

yet, we end up making a conclusion. And

72:48

so, all of that correlational evidence

72:50

is deeply flawed research. And yet that

72:53

becomes the basis for the longevity guru

72:55

to determine diet.

72:57

So, if I'm trying to extend my

72:59

longevity,

73:00

Yeah.

73:01

trying to live longer,

73:02

then exactly what should I be thinking

73:04

about?

73:05

So, my view on longevity is a metabolic

73:07

view, no surprise. I'm a metabolic

73:09

scientist and I don't mind someone sort

73:11

of smirking at me declaring that or

73:13

admitting it. But, I'm somewhat

73:15

justified.

73:17

Just by way of setting the stage, the

73:19

earliest the birth of the modern

73:22

longevity research

73:24

uh at least if it didn't start, it was

73:26

heavily influenced by the work of a

73:27

woman named Cynthia Cynthia Kenyon.

73:30

K E N Y O N

73:32

Cynthia Kenyon was one of the kind of

73:35

she really did, in my mind, kind of give

73:37

give birth to the modern longevity

73:39

focus.

73:40

What her lab found using an insect

73:43

model,

73:44

and this is again a problem with the

73:45

longevity gurus is that they rely on

73:47

insect data and for example, but it was

73:50

compelling what she found. I think it

73:51

was worms. She found in worms

73:55

that if they restricted the glucose that

73:57

the worms were eating,

73:59

they would live 50% longer or some some

74:01

fantastic increase in the how long the

74:04

animals lived. That kind of gave birth

74:06

to the idea of fasting being beneficial,

74:09

but it also allowed her lab to start

74:11

playing around with some of the genes of

74:13

these little insects. And when they

74:15

started knocking down or under

74:17

expressing some of the genes involved in

74:20

insulin,

74:22

they didn't have to restrict the food,

74:24

the animals just lived longer.

74:26

And so, that touches on this metabolic

74:29

aspect and everyone nowadays is really

74:31

interested in autophagy.

74:33

Autophagy is a term for a cell

74:36

essentially cleaning itself out.

74:38

Which is typically associated with long

74:39

fasting.

74:40

Yeah, that's Yeah, yeah. In fact, yes.

74:42

So, that is partly why fasting has been

74:44

so embraced within the uh longevity

74:46

community. it's because if you can

74:49

promote longevity or autophagy rather,

74:51

if you can promote autophagy, the cell

74:54

keeping itself cleaned out, that is

74:56

thought to be a key contributor to

74:58

longevity. So, autophagy equating to

75:01

longevity. I don't disagree with that. I

75:03

think that probably is a very valid

75:05

view.

75:06

Then, the question comes, well, how can

75:09

I control autophagy?

75:11

Well, there is a humble hormone that

75:13

comes from the pancreas that has a very

75:15

powerful effect on autophagy called

75:17

insulin. So, as much as people are

75:20

fasting, what's the value of fasting in

75:22

reducing autophagy? It's because insulin

75:24

comes down. Now, what becomes

75:26

interesting is what happens if you were

75:28

to put someone allow them to eat

75:30

calories, but the calories are such that

75:32

their insulin is staying low

75:35

and they're making ketones. In other

75:36

words, a ketogenic diet.

75:38

You also enable autophagy. There was a

75:41

very well-done animal study finding that

75:44

they didn't have to restrict calories

75:46

and fast the animals. They could let the

75:48

animals eat as much as they wanted, but

75:50

it was a ketogenic diet. They lived

75:53

significantly longer than their other

75:55

littermates that were eating the normal

75:57

high-carb chow, similar to what humans

75:59

eat nowadays.

76:01

And so, autophagy probably does matter

76:03

for longevity.

76:05

All the more reason to keep your insulin

76:07

in check because insulin is a powerful

76:09

inhibitor of autophagy. So, as much as

76:12

we have longevity gurus who are taking

76:14

thousands of dollars worth of

76:16

supplements,

76:17

I can't help but look at that and think,

76:19

just control your insulin.

76:21

That within every cell, there's this

76:23

battle. There's a yin-yang of growth and

76:25

death or building and breaking to say it

76:27

a little more politely. In fact, that is

76:30

metabolism. The very word metabolism

76:33

encompasses anabolism,

76:36

which is anabolic or building up, and

76:38

catabolism or catabolic, which is

76:40

breaking down.

76:41

The key to a healthy growing living cell

76:45

is this nice ongoing balance of build

76:47

and break, build and break. You have to

76:50

build something up and then modestly

76:51

break it down. And then you build

76:53

somethings up again. And autophagy is a

76:55

very important part of that breaking

76:57

cycle within the cell that hey, it's

76:59

time to get rid of some old parts and

77:01

now we'll rebuild some of that again.

77:03

Now we're going to break down these

77:04

parts and rebuild it. Insulin is the key

77:07

to that process. If insulin stays high

77:10

for too long, you never allow the

77:12

catabolic or the breakdown. This is one

77:15

reason why insulin is so facilitative to

77:17

cancer. Insulin wants things to grow.

77:19

Cancer is a disease of growth. We don't

77:22

ever let the cancer start to break down.

77:24

Insulin won't let it in part.

77:26

You even repeatedly talked about

77:28

ketosis.

77:29

I have.

77:30

Ketones. We'll eventually get there.

77:31

We're kind of teasing the audience a

77:32

little bit.

77:33

Yeah, we are. Yeah. But rightly so. I

77:34

mean, ketones are a very vilified

77:37

misunderstood part of the body. And and

77:38

to my great delight, um it's getting

77:41

it's getting a sort of new appreciation.

77:43

Well, I'm currently on the keto diet as

77:45

well. So, I am incredibly interested to

77:47

understand A, like what's going on in my

77:49

body, but B, I I'm quite compelled by

77:52

both the pros and cons of doing it. And

77:54

I want to talk about the cons and the

77:55

pros.

77:55

Mhm.

77:56

Um because they both exist. One thing

77:58

you say in your book, Why We Get Sick,

78:00

is that the longest living humans are

78:03

also the most insulin sensitive.

78:05

Yeah.

78:05

So, you're telling me that the longest

78:07

living humans are the ones that are able

78:09

to stave off that

78:10

insulin resistance.

78:11

Yes. Yes, so there are

78:12

keep their insulin levels low.

78:14

That's right. Yeah, in fact, most of the

78:16

longevity research

78:17

a sort of a final point on this, um is

78:19

that when you look at these studies that

78:21

look back in time and say, "Okay, what

78:24

is it about these people? What variables

78:27

tend to go along with the longest lived

78:29

humans?" One of them is that their

78:31

insulin sensitive and their blood

78:32

glucose levels are In fact, a very well

78:34

done study just last year out of Sweden.

78:37

I think it was just 1 year ago.

78:39

They looked at all and Sweden is

78:41

meticulous in its in its record keeping,

78:43

which is an advantage. And and a

78:46

fairly homogeneous society, so it kind

78:48

of eliminates some confounding

78:49

variables.

78:51

But they attempted to document what were

78:53

the what were the variables that were

78:54

just the most consistent theme of people

78:57

who lived very long. One of them was

78:59

good glucose control.

79:01

And this next one is very controversial

79:02

because they found that they also the

79:04

longest lived people had high

79:05

cholesterol levels.

79:07

And isn't that funny? It is one of the

79:09

most consistent themes of longevity

79:11

research that the longest lived people

79:13

have higher cholesterol.

79:15

And yet we live in a world that hates

79:17

cholesterol and the moment cholesterol

79:19

goes up we put them on a cholesterol

79:20

lowering medication.

79:22

We could be doing the perfectly wrong

79:24

thing to help these people live longer.

79:26

So, that was and and then low uric acid

79:28

and there's a handful of other little

79:30

variables that fit into this.

79:31

So, they they found that some of the

79:32

longest living humans had high

79:34

cholesterol levels.

79:35

That's right. That's what the Sweden

79:36

study found for example. The paper just

79:38

published a year or so ago. What were

79:40

some of the most consistent themes? They

79:41

had good glucose control and high

79:44

cholesterol.

79:45

I'm a great defender of of cholesterol.

79:48

It is a molecule of life.

79:53

And and so many so much depends on it.

79:55

Mitochondria for example. Mitochondria

79:57

have to have a cholesterol molecule in

79:59

them in order to work. Like the very

80:01

powerhouse of the cell. And the more you

80:03

lower cholesterol through say drug

80:05

interventions, the more you compromise

80:07

the mitochondria.

80:09

Um the sex hormones. All sex hormones

80:12

are built on cholesterol. It's no

80:14

surprise if someone takes a cholesterol

80:16

lowering medication their sex hormones

80:18

go down. This is why some men experience

80:20

such terrible loss of libido because

80:22

he's becoming low testosterone because

80:24

of the war on cholesterol.

80:26

But there's good and bad cholesterol,

80:27

right?

80:27

Well, that's as the story goes, yes. And

80:30

yet I think that's overly simplified.

80:32

Where people will say LDL cholesterol is

80:34

the bad cholesterol.

80:37

And yet, that gets included in these

80:39

studies of longevity. So, I think the

80:41

good and bad aspect of it is not

80:43

entirely fair or accurate. We need LDL.

80:46

And LDL is just as much a component of

80:48

the immune system.

80:49

LDL actually helps the body fight

80:51

infections. So, it's also an unsung hero

80:53

of immunity.

80:55

There was research suggesting that in

80:56

very old age, high cholesterol levels do

80:58

not always correlate with higher

81:00

mortality. And in some studies may even

81:02

be linked to longer life.

81:05

Exactly.

81:06

Which is bizarre.

81:07

Yeah, well, you say that and yet maybe

81:10

our anti-cholesterol view is the bizarre

81:12

one.

81:12

Yeah.

81:12

And so, as a cynic who's very familiar

81:15

with biomedical research, I sometimes

81:16

will look at clinical markers and say,

81:18

"Why are we so obsessed with glucose?

81:21

Why not insulin? Why are we so obsessed

81:23

with cholesterol? Why not triglycerides,

81:26

which is another lipid that can be

81:27

measured that is far more predictive of

81:29

who's going to have a heart attack or

81:31

not?"

81:32

And I think it's because we have chosen

81:35

markers in modern medicine that we have

81:37

well-designed drugs.

81:40

So, it's a really, really good way to

81:41

sell a lot of drugs. So, there's no drug

81:44

that's going to address insulin. So,

81:45

let's not measure it. But, there are

81:47

lots of drugs that will lower glucose.

81:49

So, let's measure glucose because then

81:51

we can diagnose the problem and then we

81:53

can give them a drug and make a lot of

81:55

money. That's a cynical view, but I

81:56

don't think it's unjustified. Similarly

81:58

with cholesterol.

82:00

Why look at LDL when triglycerides,

82:02

another lipid marker, are a much better

82:05

indicator? It's because we don't have a

82:07

drug that effectively lowers

82:08

triglycerides. You can with diet, but we

82:11

do have drugs that very effectively

82:12

lower LDL.

82:15

One thing that really surprised me when

82:16

I was reading your work is

82:18

there was a study done

82:21

in Bulgaria which proved that smoking

82:23

causes insulin resistance in humans by

82:26

having seven healthy non-smokers smoke

82:29

four cigarettes over an hour for 3 days.

82:32

What did they find in that study?

82:34

Yeah, so they found that if you took

82:35

healthy non-smoking people and had them

82:36

start smoking, they became insulin

82:38

resistant. I believe I invoked that

82:40

study in the section where I was talking

82:42

about inflammation.

82:44

Um where when you cigarette smoke that

82:46

elicits there's a lot of junk coming in

82:49

and there's a powerful inflammatory

82:50

response and that contributes to insulin

82:52

resistance.

82:53

Is this vaping as well?

82:54

Oh, so that is a very good question. I

82:57

have in fact published now multiple

82:59

papers with a very good friend and

83:00

colleague who is a lung expert at my

83:03

university, a guy named by the name of

83:05

Paul Reynolds. Paul and I, we have

83:06

published reports together looking at

83:08

cigarette smoking and the inflammatory

83:10

and insulin resistance effects that come

83:13

from that. And now we've even started

83:15

looking at the molecules, the

83:16

hyper-heated

83:18

molecules from vaping and they're

83:21

they're terrible. In fact,

83:23

yes, very similar results. If you were

83:25

to take a comparable amount of the

83:27

chemicals from normal cigarette smoke

83:29

with its filter

83:31

versus vaping, the vaping ones are

83:33

probably worse chemical for chemical.

83:36

In terms of their insulin

83:38

in terms of their inflammatory effect,

83:40

of the damage to the airway and the

83:42

insulin resistance that comes from it.

83:44

That's horrifying.

83:45

It is in part because of just how common

83:48

it's become.

83:52

Does smoking make us fat?

83:53

Uh that's a great question. It doesn't

83:56

because it replaces other interests. So

83:58

if the cigarette smoker ate

84:01

the way everyone else was eating, it

84:03

would.

84:04

But because the cigarette smoke

84:06

satisfies a craving, they have less of

84:09

an interest in food. What's so

84:10

interesting about cigarette smoking is

84:12

again, as I said, you begin to smoke

84:14

other things don't tempt you as much

84:16

like the cookies and the cakes. But one

84:18

of the ways the smoker helps kick the

84:20

habit of cigarette smoking is actually

84:22

eating candy. Like they will literally

84:24

start carrying around little candies in

84:26

their pocket. So that they feel a

84:28

craving for cigarette smoking, they will

84:29

take out a little candy, open it up, and

84:31

pop it in their mouth. And so it's no

84:33

surprise that very commonly when a

84:35

person quits smoking, they gain

84:37

significant weight.

84:39

They end up trading out their

84:41

addictions, if you will. Um and

84:43

unfortunately, in humans, all of the

84:45

study of addictions with food, people

84:48

only manifest an addiction to one type

84:50

of food, and that is carbohydrate.

84:51

There's no evidence of addiction to fats

84:53

or proteins.

84:54

You published a study in 2024, which

84:56

found that exposure to diesel exhaust

84:59

gas was associated with increased fat

85:02

mass, enlarged fat cells, insulin

85:04

resistance, and increased levels of

85:06

inflammation. And that was published in

85:08

the International Journal of Molecular

85:09

Sciences.

85:10

Yeah, that was one of the studies I just

85:11

was referring to with regards to my

85:13

colleague Paul Reynolds. Paul and I, we

85:15

That was one of the papers we published

85:17

looking at these inhaled particulates.

85:19

The reason I was interested in this

85:21

field of study in the first place

85:23

was just to continue to kill the caloric

85:26

model of obesity. So our And this

85:29

touches on an earlier part of the

85:30

conversation. Overwhelmingly, if you ask

85:33

someone, "Why do we get fat?" Well,

85:35

because you eat more calories than you

85:36

burn. "Why do you lose fat?" Because you

85:39

eat fewer calories. And I have long just

85:42

been frustrated by how naive that view

85:44

is. Yes, energy matters, but again, the

85:46

fat cell must be told what to do with

85:48

the energy that it has. That, of course,

85:50

points an obvious finger at insulin,

85:52

which is the strongest of all signals.

85:54

But what we found in that study is that

85:56

even something as seemingly unrelated as

85:58

diesel exhaust particles,

86:00

mind you, we did not do this study in

86:01

humans.

86:03

Full disclosure, we did the study in

86:04

animals where we could perfectly control

86:06

how much diesel exhaust they're getting.

86:09

Um so we have this mechanism through in

86:11

Paul's lab where you can aerosolize

86:13

these particulates and know exactly how

86:15

how the animals breathing. And then at

86:16

the end of the study, after even though

86:18

they ate the exact same amount of food,

86:21

the animals that were exposed to the

86:22

diesel exhaust particulates had fatter

86:25

fat cells and more insulin resistance

86:27

than the animals that had just been

86:28

breathing normal room air.

86:30

So, what we're breathing in

86:31

theoretically could then be determining

86:33

how fat we're getting.

86:34

Yeah, yeah, in fact yeah yeah this

86:35

evidence would suggest that it goes

86:37

beyond theory. So, our evidence would

86:39

state conclusively that yes, what you

86:41

breathe does matter. Then theoretically

86:43

we would say, well, how much does that

86:45

apply to humans? That is where it would

86:47

get into the realm of theoretical, but

86:48

the evidence certainly suggests yes, the

86:51

very air we breathe matters. And you see

86:53

this at a population level. Look in

86:55

areas where there are Now, there are

86:57

confounding variables here. Here I am

86:59

invoking correlational research and I

87:00

was just criticizing it a moment ago

87:02

with regards to longevity. But you look

87:04

in areas where they have higher

87:05

pollution levels, where the particulates

87:07

are higher in the atmosphere, and those

87:09

same areas are always fatter and more

87:13

diabetic.

87:14

Interesting.

87:16

But of But of course that's

87:17

correlational, so it's hard to say.

87:19

Exactly. Yes, thank you for pointing it

87:20

out. And but again, as much as you and I

87:23

are citing the problem with the

87:24

correlational study there, we need to

87:26

always cite the problem with

87:27

correlational studies when it comes to

87:28

informing nutrition policy. Like, don't

87:31

eat eggs because they cause diabetes,

87:33

but when you actually look at the

87:34

studies, you find nothing of the sort.

87:36

What about other sort of environmental

87:37

toxins and their impact on insulin

87:40

resistance?

87:40

Mhm. Yeah. So, there are the ones that

87:42

you inhale. A handful of inhaled

87:45

particulates will matter. We have shown

87:47

in my lab alone with my with my

87:49

collaborators, diesel exhaust will do

87:51

it, cigarette smoke will do it, and more

87:53

We have a funded grant right now to look

87:56

at the effects of vaping. So, apparently

87:58

stuff we breathe will matter.

88:01

To some unknown degree, things that we

88:04

drink will that are non-caloric. So,

88:07

there can be like people have heard of

88:09

the microplastics.

88:11

Microplastics are things that you can't

88:13

They're so small that you drink them

88:16

and they will absorb through the

88:17

intestine and get into the bloodstream.

88:19

For reasons that are unknown to me at

88:22

the moment, one of the sites where those

88:24

microparticles will go is the fat cells.

88:27

And once there, they will directly

88:29

promote the growth of the fat cells. So,

88:30

that's actual microscopic segments of

88:33

plastic. But separate from that are

88:35

molecules that can come from plastics

88:37

and soaps and detergents like BPA

88:40

or diethylstilbestrol DES. That's

88:43

actually an estrogen mimetic, kind of

88:46

what we referred to earlier with regards

88:47

to other endocrine disruptors. But there

88:49

are other chemicals that a person can

88:51

drink

88:52

um or inhale like I mentioned earlier,

88:55

but that will directly impact the growth

88:57

of fat cells or promote to tell that

88:59

mimic what insulin wanted to do, which

89:01

is tell the fat cell to grow.

89:04

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Let me know how you get on.

91:04

So, let's talk about ketosis and

91:06

ketones.

91:07

Um the diet the keto diet is becoming

91:10

increasingly popular from what I've

91:12

seen. It's actually the diet that I'm on

91:13

at the moment.

91:16

How does that play into everything we've

91:17

talked about?

91:18

Yeah. Yeah, so it it this is an

91:20

opportunity for me to do a little bit of

91:22

um bio nutrient biochemistry or a little

91:25

discussion of metabolism so that people

91:27

appreciate what ketones even are and

91:29

where they come from.

91:31

So, the the entirety of the human body

91:33

is a metabolic hybrid in that the body

91:36

is largely burning fuel from two

91:38

sources. It is burning blood glucose or

91:41

sugar blood sugar or it's burning fat.

91:45

Those are the two main fuels for the

91:46

body my extension. Now, the brain was an

91:48

exception. The brain is glucose or

91:50

ketones and but I'll get to where the

91:52

ketones come from. The rest of the body

91:55

isn't really relying on ketones as much.

91:57

It's fats or glucose

91:59

or blood sugar. Insulin is what decides

92:02

which fuel is used. So, as much as the

92:04

metabolic engine has two fuel sources,

92:07

insulin will decide which one is opened

92:09

and which one is closed. If insulin is

92:11

high, the body is sugar burning. And you

92:13

can measure this in the whole body level

92:15

by measuring the amount of

92:16

oxygen and CO2 that the body is

92:18

producing. Because different

92:19

biochemistry or the burning of the fuels

92:21

will produce a different amount of CO2.

92:23

So, if I'm burning glucose, I might be

92:25

producing more CO2.

92:27

Yes. Yes, so we could hook you up to

92:29

something called an indirect calorimeter

92:31

and measure that your RER, the

92:33

respiratory exchange ratio, the balance

92:35

between CO2 and oxygen, would go higher.

92:38

So, we we increase your insulin, like if

92:40

I infused you with insulin in the next

92:42

few minutes, we would see that your RER

92:45

would go up and we'd say, "Boy, you're

92:46

sugar burning."

92:47

Or we allow insulin to come down and

92:50

then the RER goes down, which is

92:52

reflective of fat burning. So, it's

92:54

insulin that determines whether the body

92:56

is sugar burning or fat burning. Now,

92:58

when insulin has been low for about 16

93:00

or so hours,

93:03

something interesting starts happening

93:04

at the liver.

93:05

So, the liver,

93:07

with insulin being low, is burning a lot

93:09

of fat.

93:10

Including its own fat that the liver can

93:12

store. The liver can store fat, but also

93:14

fat coming from fat cells. Because if

93:16

insulin is low, the fat cells are just

93:19

leaking out fat to be burned by the

93:21

body.

93:22

And because insulin is low, the liver

93:24

keeps burning it.

93:25

And the liver essentially

93:28

burns continues to burn so much fat that

93:30

it it fills its own needs. It meets its

93:33

own needs and says to itself, "Hey, I

93:35

don't need to keep burning fat. I have

93:37

all the energy I need. I'm I'm doing

93:40

great." But it can't stop burning fat

93:43

because insulin is low. And if insulin

93:45

stays low, fat burning keeps going. And

93:47

so,

93:48

Because the body doesn't have enough

93:49

glucose.

93:50

Well, it's acting Yes, so in this sense,

93:52

it's doing it to help replace the

93:54

glucose that isn't coming in. That's

93:55

what value of the ketone. So, as the

93:57

liver is continuing to burn fat, it

93:59

essentially gets to a point of fat

94:01

burning where it's burning more fat than

94:03

it needs.

94:04

And that excess, if you will, is what

94:06

becomes ketones. So, ketones are kind of

94:09

a metabolic release valve for the liver

94:12

cell to say, "I I can't I don't know

94:14

what to do with all this fat burning.

94:15

Okay, I know what I'm going to do.

94:17

There's not a lot of glucose coming in.

94:19

And so, the brain may start to get

94:21

hungry. So, I'm going to start making

94:23

ketones."

94:24

And so, ketones are nothing more than a

94:27

product of a lot of fat burning. And

94:30

anyone who even fasts for 24 hours, you

94:32

wake up that next morning, you're in

94:34

some degree of ketosis. Lest anyone

94:37

think it's an extreme thing. People are

94:39

going in and out of ketosis ideally

94:42

often. Now, why do I say ideally? It's

94:44

because ketones are, as we've already

94:46

outlined, perhaps the best fuel for the

94:48

brain. The brain thrives on ketones. You

94:51

can take a person

94:53

with early stage Alzheimer's disease and

94:56

have them go through a series of

94:57

cognitive tests and they do horribly on

94:59

them. Like one example is you ask the

95:02

patient with Alzheimer's to draw the

95:04

face of an analog clock,

95:06

a circle with 1 2 through 12 and then

95:08

some hands on it. And it is utter chaos.

95:12

This is published reports. You then put

95:14

them into ketosis,

95:16

ask them, "Can you please draw the face

95:18

of a clock?" It's still sloppy, but it

95:20

is absolutely the face of a clock. You

95:23

ask them, when they're not in ketosis,

95:25

to try to tie their shoelaces, they

95:26

can't think through the puzzle of tying

95:29

the shoelaces. Ask them to do it again

95:31

when they're in ketosis, all of a sudden

95:33

they can tie their shoelaces. More than

95:35

that, they can get themselves dressed.

95:37

All of these are published case reports.

95:39

It's just my long-winded way of saying

95:41

the brain thrives when it has ketones as

95:45

a fuel source. But, the benefits don't

95:47

stop there. My lab published a report

95:50

finding that when humans were in

95:52

ketosis, which is just a term for

95:53

ketones being elevated,

95:55

we pulled out small pieces of belly fat

95:58

and measured the metabolic rate of that

96:00

belly fat. And we found that in ketosis,

96:03

the metabolic rate of that belly fat was

96:05

three times higher than when the people

96:08

were not in ketosis.

96:09

What does that mean?

96:10

Yeah, so that means that the fat was

96:12

suddenly behaving in a much more

96:14

energetic way. That fat tissue has a

96:16

very low metabolic rate. And then all of

96:18

a sudden when the ketones came into

96:20

them, they started getting much more

96:22

active and they started burning more

96:24

energy. Which is going to be very

96:25

helpful for someone who wants to lose

96:28

fat. If your fat cells now have a three

96:30

times higher metabolic rate, that means

96:33

that the fat cells are starting to act a

96:34

little bit more like your muscle cells.

96:37

And they're just burning more energy.

96:38

So does that mean that I'm going to lose

96:40

fat faster? What does that mean?

96:41

absolutely. And that is what happens.

96:43

There are very well-done controlled

96:45

studies to show that if you control for

96:47

all calories, when a human is in

96:49

ketosis, the metabolic rate goes up.

96:52

Your body Your whole body is just

96:53

burning more.

96:54

Um it it it's just everything's kind of

96:56

been turned on a little more. The the

96:57

the the furnace of the metabolism has

96:59

just been it's you have a little more

97:01

fuel kind of stoking the fire.

97:04

So ketones will increase metabolic rate

97:05

of fat tissue. We found a paper that we

97:08

published documenting how we took muscle

97:11

cells and kind of insulted the muscle

97:13

cells to determine how tough the muscle

97:15

cells were.

97:17

When we incubated the muscle cells with

97:19

ketones, they were much more resistant

97:21

to injury.

97:23

So the ketones act to protect muscle

97:25

tissue.

97:27

And in a way that is reflective of a

97:28

function of ketones. Ketones are a

97:31

defender of muscle.

97:33

Ketones are basically the way to tell

97:34

the brain, saying, "Brain, you think you

97:37

need a lot of glucose.

97:38

And if you don't get enough glucose, you

97:40

would start stripping the protein from

97:42

muscle to turn it into glucose. But I'm

97:45

here as a ketone, so you can eat me

97:47

instead and not and leave the muscle

97:50

alone. So we published again a direct

97:52

report finding that ketones actually

97:54

make muscle more resistant to injury.

97:56

And this could be why you're seeing more

97:58

and more elite athletes using ketones as

98:01

an actual

98:02

ergogenic aid or like a supplement to

98:04

help them better be better. So my

98:06

university at BYU, just this year, our

98:09

men's and women's cross country team

98:11

took the national championships, the

98:13

best college runners in the nation,

98:15

pretty impressive. One of the things

98:17

they do is they take these ketone drinks

98:20

before they train and before they they

98:22

race. Some more and more of the Tour de

98:24

France teams

98:26

take ketone supplements because it is

98:28

just another fuel.

98:30

It is something that the body can burn.

98:32

The that we always say, well, if once

98:34

you start running out of glucose, you're

98:36

going to bonk or you're going to hit the

98:37

wall. Well, what if you don't really use

98:39

glucose because you're burning a lot of

98:41

fat and a lot of ketones instead and

98:43

that keeps your glucose kind of

98:44

untouched. You're not You're not relying

98:47

on the glu- And we see this in humans.

98:49

If there's an a human that has adapted

98:51

to a ketogenic diet, they burn fat at a

98:55

higher rate than was ever thought

98:56

humanly possible. That that fat is

98:59

basically fueling all of their muscle

99:01

movement during the exercise session

99:04

rather than relying predominantly on

99:05

glucose. The body has adapted. It's

99:08

burning fat for fuel and when available,

99:10

it's burning ketones for fuel and it's

99:12

leaving the muscle as sort of a last

99:14

resort when it really needs a big kick.

99:16

I've seen these keto drinks. They're

99:18

little They're almost like little shots.

99:20

Well, there's a bunch of different

99:21

types. If you look at the spectrum of

99:23

ketones, you on one end you have the

99:25

cheapest, most readily available,

99:27

although less effective, called ketone

99:29

salts, where it takes a molecule of

99:31

ketone and binds it to a mineral like

99:32

calcium or magnesium.

99:34

Um not as effective and it's a lot of

99:37

minerals, so people will find that they

99:38

might get a lot of plaque on their

99:39

teeth, maybe increased risk of kidney

99:42

stones, so comes with some consequences.

99:44

Then you have the ketone ester, which

99:46

often comes in shots.

99:47

Yeah.

99:48

Then you have the bioidentical

99:50

BHB or the bioidentical ketone. One

99:52

company, which is original ketone, um

99:55

they make it. Now, these ones are more

99:57

effective. You take a little bit of

99:58

these and you will get an increase in

100:00

ketones. They're a little more

100:01

expensive, too.

100:02

But as the space is becoming more

100:03

competitive, the price is coming down.

100:05

And what exactly does it do? So if I

100:07

took a shot of bioidentical ketone

100:10

drink,

100:10

Mhm.

100:11

what would go on in my body and how

100:12

would I

100:13

how would that impact my cognitive

100:15

performance or

100:16

athletic performance?

100:17

Yeah. Yeah. So it would result So you're

100:20

drinking it in, you're immediately

100:21

absorbing it from your gut.

100:23

Yeah.

100:23

So if you were not in ketosis, let's say

100:25

you had and I'm not encouraging people

100:27

to do this. You would just have eaten

100:29

two bagels and a cup of sugary coffee.

100:31

You're no ketones, undetectable cuz

100:34

insulin has come up, it's inhibited

100:35

ketone production. And then you drink a

100:38

shot of the ketone, within an hour we

100:40

would detect your ketones. They would

100:41

have gone up maybe to 1 millimolar,

100:42

which is a pretty significant bump.

100:44

Yeah.

100:44

And they're capable of that kind of

100:45

movement. And maybe you do so because

100:47

you're thinking I really need to be

100:48

sharp right now.

100:49

Would that make me sharper?

100:51

Well, that's where we have to speculate.

100:53

There's no

100:54

I My lab published animal evidence

100:56

suggesting that yes, indeed, it makes

100:58

you sharper. That we had these animals

101:00

navigate mazes and recognize objects.

101:02

And when the animals were on a ketogenic

101:04

diet, they were much sharper. They were

101:06

much quickly, much better at solving

101:08

problems and remembering solutions to

101:11

previous problems.

101:12

It's one of the I asked this in

101:14

particular because

101:16

as my team know cuz I've said it to them

101:17

a lot over the last couple of weeks

101:18

since I've been on the keto diet and

101:20

I've been literally

101:21

pricking my finger to check

101:23

Yeah.

101:24

Yeah.

101:24

my keto levels and the highest I've

101:26

gotten to is like 2.5.

101:27

Which is high.

101:28

Is it high?

101:29

That's not problematic.

101:30

Right.

101:31

that is just proof positive that you're

101:33

in ketosis, which itself is proof

101:34

positive that you're burning a lot of

101:36

fat

101:36

Yeah.

101:37

and three that your insulin levels are

101:38

low.

101:39

Fat dropped off my body like I've never

101:40

seen in my life.

101:41

Exactly.

101:42

Yeah, it's crazy.

101:43

So the power there is

101:44

like if you'll allow me to kind of

101:46

springboard off of that comment

101:49

the power of So So if someone is

101:51

listening to this and they're thinking,

101:52

"Okay, I need to shrink my fat cells."

101:54

Yeah.

101:54

Unfortunately, they don't realize that

101:56

there's two variables to what caused

101:58

their fat cells to grow in the first

101:59

place. They have no awareness of the

102:01

value of insulin in this in this um um

102:04

formula. All they do is pay attention to

102:06

the calories. And so the average

102:08

individual is looking down the road of

102:10

this fat cell shrinking journey and

102:12

they're thinking, "Okay, what I have to

102:14

do is just cut my calories." And what do

102:17

they do to cut their calories? They do

102:18

the exact wrong thing.

102:20

And before I even answer that, let me

102:22

just present the scenario. Let's imagine

102:24

that Steven and I everyone listening is

102:26

invited. Steven and I are hosting a

102:27

buffet. We have the world's best chefs.

102:30

It is going to be a table filled with

102:32

the most delicious food you can imagine.

102:34

You're In our invitation, we say, "Come

102:36

hungry cuz you're going to want to try a

102:38

little bit of everything." Everyone

102:40

listening, ask yourselves what would you

102:42

do to come as hungry as possible. You'd

102:44

probably do two things. Or think, "How

102:47

did you go to your Thanksgiving or

102:49

your your Christmas dinner as hungry as

102:51

possible?" You would eat a little less

102:54

in some period of time before the event

102:56

and you would exercise a little more.

102:58

And it would work. You would be very

103:00

hungry.

103:01

That's why the traditional advice given

103:03

for weight loss doesn't work because we

103:05

tell people, "Eat less, exercise more."

103:08

Sure, you may be lose a little bit of

103:09

weight in the short term, but all that

103:11

does, you've given them the perfect

103:13

recipe to promote hunger. And hunger

103:15

always wins.

103:16

As a good example uh in the US, we have

103:19

a game show. Maybe there was some

103:20

version of this in the UK called The

103:21

Biggest Loser.

103:23

It was essentially who can lose the most

103:24

weight. And it was through a punishing

103:27

regiment of caloric restriction. Eat

103:29

less, exercise more. That is like the

103:31

perfect embodiment of that approach.

103:33

They were starving and they were

103:35

exercising to insane degrees. And oh my

103:38

goodness, did they lose a lot of weight?

103:40

And yet you never see them again.

103:41

They don't do a reunion tour 5 years or

103:44

10 years later because they gained it

103:45

all back.

103:47

Do Do you know they gain it all back?

103:49

In fact, a paper published in the US

103:50

from the National Institutes of Health

103:52

documented not only the degree to which

103:54

they gain weight back, but also how it

103:56

almost literally breaks their

103:58

metabolism. That normally a person's

104:00

metabolic rate is connected to their

104:02

body mass. A bigger body has a higher

104:04

metabolic rate. A smaller body has a

104:07

lower metabolic rate. This is just human

104:09

physiology. And no surprise when someone

104:11

loses weight, there's less of body and

104:13

so metabolic rate goes down. As they

104:15

gain weight back, metabolic rate will

104:17

typically go back up as well.

104:20

Except for the contestants in The

104:21

Biggest Loser. They started with a high

104:23

metabolic rate because of a high body

104:25

fat level. They lost a substantial

104:28

amount of weight. No surprise, metabolic

104:31

rate went down substantially. But if

104:33

this is such a dramatic change that as

104:36

they started gaining weight back,

104:38

metabolic rate did not come back with

104:40

it. It stayed lower than it should have.

104:43

Normally it's connected sort of

104:45

one-to-one. Wherever body weight is

104:47

going, metabolic rate is going. Except

104:49

in these people. That method of dramatic

104:51

weight loss through such severe

104:54

restriction, which is based purely on

104:56

the caloric theory of obesity,

104:58

leads to such It leads to significant

105:00

hunger. So no surprise, if a person's

105:02

attempting to shrink their fat cells or

105:04

lose weight,

105:05

if the first step is I'm going to cut my

105:08

calories and they don't address their

105:09

high insulin,

105:11

they're never going to lose weight in

105:12

the long run. They're going to step

105:14

right back to where they were. Because

105:15

if they start cutting calories, but

105:17

insulin is still high,

105:19

that's going to make them very hungry

105:20

because insulin wants to be storing

105:22

energy.

105:23

A A professor from Harvard named David

105:25

Ludwig found this. If you have people

105:28

eating a lower calorie meal that spikes

105:30

their insulin, it makes them much

105:32

hungrier

105:33

than a lower calorie meal that doesn't

105:35

spike insulin. So, that's the key.

105:37

Anyone listening, if you're thinking I

105:39

need to be on a fat cell shrinking

105:40

journey, let the first step of that

105:43

journey be

105:45

I'm going to lower my insulin.

105:46

Which means

105:47

Which means I'm going to control my

105:48

carbohydrates. I'm going to stop eating

105:51

carbohydrates that come from bags and

105:52

boxes with barcodes. And while I am

105:55

restricting those carbohydrates, I'm

105:57

going to focus more on protein and fat.

106:00

So, control carbs, prioritize protein,

106:04

and don't fear the fat that comes with

106:06

those proteins. Fat and protein together

106:09

is a

106:11

a miraculous combination of helping you

106:13

feel full, and it is literally giving

106:15

everything you need.

106:17

There are such things as essential

106:18

proteins. There are such things as

106:20

essential fats. So, focus on those.

106:23

And that will be the key to helping

106:24

insulin come down. Then, as you have

106:27

found, you have and when you're hungry,

106:29

eat. If you're not hungry, don't eat.

106:31

But, what the person will find as

106:32

they're lowering their insulin,

106:34

all while their metabolic rate is going

106:36

up. They're learning how to burn their

106:38

own fat for fuel, because remember the

106:40

metabolic hybrid, that metaphor, that if

106:43

you want to lose fat, you need to burn

106:44

fat. You're not going to lose fat if

106:46

you're always burning glucose. It's fat

106:48

that you need to burn. And as you start

106:50

burning more fat, you realize that it's

106:53

like the hump on a camel. That hump

106:55

exists because it is a big source of fat

106:58

for that animal to be using its own fat

107:00

for energy. We have our own version of

107:02

that. So, where the you think about the

107:05

average individual who's chubby, they

107:06

have hundreds of thousands of calories

107:09

waiting to be burned in those fat cells.

107:12

It's just that their chronically

107:13

elevated insulin is never letting them

107:15

burn it.

107:16

And so, as the person starts making

107:18

these changes in their diet to lower

107:20

insulin, they now can finally start

107:22

relying on their own fat for fuel. So,

107:24

it's no surprise that their hunger

107:26

starts to come down. Let that be the

107:28

natural way in which you're controlling

107:30

your calories. Don't control your

107:33

calories because you're forcing yourself

107:34

to be hungry and eat less.

107:36

Control your calories because you simply

107:39

aren't hungry.

107:40

So, I have to I'll leave it at this with

107:42

my own sort of anecdotal experience. So,

107:43

I every year do a keto diet for usually

107:46

for about 8 weeks.

107:47

Mhm.

107:48

This time it's going to go on for a

107:50

little bit longer. Um the reason in part

107:52

why it's going to go on a little bit

107:53

longer is I just learned more about

107:54

what's going on in my body, and also

107:57

because I podcast now and do a lot of

107:58

speaking on stage and those kinds of

108:00

things, I see tremendous variance in my

108:02

ability for my brain to articulate what

108:04

I want to say.

108:05

way.

108:06

It's like it's absurd. Yes. I I was

108:08

saying this the other night to the the

108:10

team that were with me here in Los

108:11

Angeles, and I tried to say it to so

108:13

many people.

108:14

As someone that can spend 9 hours a day

108:17

trying to think of the next question to

108:19

ask or trying to remember the research

108:20

or on stage in front of a thousand

108:22

people trying to deliver a story or a

108:25

point, I get to see variance which I've

108:29

never been able to explain.

108:30

Yeah.

108:31

Um where some days I'll go up on stage,

108:33

I'll be in a podcast, and it's like my

108:35

brain and my mouth aren't connected. And

108:36

then on other days, specifically when I

108:38

started doing ketosis or having a

108:41

ketogenic diet,

108:42

Mhm.

108:43

it just flows. Yeah. It just flows so

108:45

well. And I was saying to my team, it

108:46

feels like I'm looking at the world like

108:48

this these days. Like I've got this

108:50

intense I probably anyone that can't see

108:51

me, I just stretched my eyes, but like

108:53

I've got this intense focus on the

108:54

world. Um the other thing I've noticed

108:56

with my diet is

108:58

I

108:59

I get hungry, but not like I used to get

109:01

hungry.

109:02

And then very quickly after I start

109:04

eating,

109:06

I stop.

109:07

Mhm.

109:08

I don't seem to be like doing like these

109:09

I used to kind of binge a little bit.

109:11

Yeah.

109:12

I used to have like a longer eating

109:13

sessions. And my hunger goes very

109:14

quickly.

109:15

Um I also found that I didn't have these

109:18

like fluctuating energy levels

109:19

throughout the day. I didn't crash

109:21

anymore. I used to get like slumps.

109:23

Yeah, for sure.

109:24

I don't slump anymore. And then the

109:26

other thing which a lot of people will

109:27

care mostly about is the the fat, so

109:29

like belly fat. I have never seen

109:31

anything that has stripped belly fat off

109:33

me faster. And I'm talking in a matter

109:36

of weeks that I could

109:37

Yeah.

109:38

you know, count on one hand

109:40

Yeah.

109:40

than

109:42

doing the ketogenic diet. And if I I

109:43

could literally show a picture of my

109:45

scales cuz I have these digital scales

109:47

on the screen and it's just trundling

109:49

along and then there's this cliff edge

109:52

where it goes directly down. And it and

109:55

so much so actually that one of my

109:56

concerns with the ketogenic diet is how

109:58

the hell do I keep my muscle?

110:00

Oh, that's a great question.

110:01

Because my girlfriend, to her credit,

110:03

when I did ketosis the first time, she

110:05

was like, "I've never ever seen you look

110:07

like this." When I took my top off.

110:10

But also, it was quite clear that my

110:13

my muscles had got smaller.

110:14

Mhm.

110:14

I was as lean as but my muscles

110:16

were small.

110:16

Yeah.

110:17

So, with I with with caution this time I

110:19

did ketosis again and I've been

110:21

thinking, "How the do I keep my

110:22

muscles?"

110:22

Yeah. Yeah. Okay, so first of all, let

110:24

me just add a hearty amen. I'm an

110:26

advocate of a ketogenic diet, although

110:28

it can be applied differently across

110:30

different people. But I would say anyone

110:31

would benefit from having some modest

110:33

period of time of elevated ketones, at

110:36

least in some portion of the day. Now,

110:38

how do you maintain muscle mass

110:41

in the midst of such obvious weight

110:42

loss?

110:44

I can only speculate. Now, there are

110:46

peer-reviewed studies that I can cite

110:49

which do support the idea that a human

110:51

can be on a ketogenic diet and have a

110:53

total maintenance of muscle and

110:55

strength. That is published. So, we know

110:57

it's possible, although that isn't that

110:59

doesn't seem to be what happened with

111:01

you.

111:02

I would suspect

111:04

that there were two things

111:07

two things happening, possibly. Now, I'm

111:09

speculating here and I'm pretending to

111:10

be your coach or your expert here.

111:13

One

111:14

could have been that you had relatively

111:16

lower energy during your workouts

111:18

because of a slight degree of

111:19

dehydration.

111:21

And then the other one would be

111:21

calories, which I'll come back to in a

111:23

moment. I just wanted to put it out

111:24

there. So, when insulin comes down, one

111:26

of the other one of the many effects in

111:28

the body is that another hormone comes

111:31

down called aldosterone, which is one

111:34

we've never invoked yet. But low insulin

111:36

leads to lower aldosterone. When

111:38

aldosterone comes down, the kidneys

111:40

become much

111:42

uh begin to eliminate salt and water

111:45

much more rapidly. Now, that's not

111:47

problematic,

111:48

but it does mean that a person does have

111:51

to focus more on hydration and salts.

111:53

So, if someone's going on this strategy

111:56

and they exercise fairly often,

111:58

you need to be much more focused on your

112:00

hydration,

112:02

literally drinking more because you will

112:04

be urinating more,

112:05

which is partly why people's blood

112:07

pressure gets so good so quickly.

112:10

And just to

112:11

pause on that point, there if if someone

112:13

is on one or two blood pressure

112:15

medications and they adopt a ketogenic

112:16

diet, they usually have to stop their

112:18

medications within 2 days cuz their

112:21

blood pressure goes to normal so quickly

112:23

that if they stay on the medication,

112:24

they're going too low. So, one could be

112:27

that you were actually working out a

112:28

little less intensely because of the

112:30

dehydration.

112:32

But then two,

112:33

it's possible that you were eating too

112:36

few calories to actually maintain

112:38

muscle. Muscle is a hungry organ. It is

112:41

metabolically expensive for the body to

112:43

keep that muscle on. And as you start to

112:46

get leaner and leaner,

112:48

it gets harder and harder for the body

112:50

to defend that muscle.

112:51

In fact, that's the difference between

112:53

fasting and starvation. The longest

112:56

known evidence of a fast was a man in

112:58

the UK who fasted for 384 days,

113:02

literally not eating or drinking a

113:03

single calorie. He was under medical

113:05

supervision, getting vitamins and

113:07

minerals and water, and he was went to

113:09

live on went on to live a perfectly

113:11

healthy life. Um so, but what was the

113:14

difference? Why was that not starvation?

113:16

Starvation is when you run out of fat.

113:19

So, you might have gotten to the point

113:21

of so lean that you didn't have enough

113:23

fat to burn to make enough ketones to

113:26

fuel the brain. If you don't have enough

113:28

fat to burn to make enough ketones, and

113:29

the brain is saying,

113:31

"All right, well, I wanted to switch to

113:33

ketones so that I could spare the

113:34

glucose,

113:36

but I can't. There's not enough ketones

113:38

here, so I have to rely 100% on

113:40

glucose."

113:41

But, if you're not eating glucose, now

113:43

the body has to start stripping the

113:44

protein from muscle. And then it sends

113:47

those amino acids to the liver, then the

113:49

liver

113:50

is so capable, it will turn those amino

113:52

acids into glucose.

113:53

So, it turns my muscle

113:54

into glucose to feed the brain. So, my

113:56

comment then, getting finally getting to

113:58

my answer is

114:00

in your version of a ketogenic diet,

114:02

with your level of muscle mass, and your

114:05

inherent metabolic rate based on your

114:06

body size and your activity, you

114:08

probably ought to eat more fat.

114:10

I wasn't actually doing the blood test

114:12

at that point.

114:13

Mhm.

114:14

I'm doing it this time around, but I

114:15

wasn't doing the blood test, so I can

114:16

actually see my keto levels.

114:17

Yeah.

114:18

So, maybe I wasn't even in ketosis cuz I

114:20

was coming off

114:20

and you might have been, but it could

114:22

have been that you were simply not

114:23

eating enough calories. That I have to

114:25

So, this is an instance where

114:27

That's what I'm trying to do this time.

114:28

I'm trying to

114:28

more fat. Like every time you're making

114:30

a steak, put butter on there. And when

114:32

you're drinking a cup of coffee, as

114:33

crazy as it sounds, I I drink yerba mate

114:35

every morning, I will put a big dab of

114:38

butter

114:39

In your coffee?

114:39

dab of butter in my tea, and I'm sipping

114:42

on it while the world's still asleep and

114:44

the kids haven't woken up yet. And so, I

114:45

know because I want to keep my muscle,

114:48

as a guy who's almost 50,

114:50

um I I find that when during my strict

114:53

ketogenic phase, and I'm currently in it

114:55

as well, every January I go to kind of a

114:57

carnivore diet, to and I mostly do it to

115:00

one lean down, but also to check any

115:02

addictions and habits. I don't like

115:04

feeling addicted to things.

115:06

And and my wife will comment and even as

115:08

an almost 50-year-old it's fun to see my

115:10

six-pack coming. I don't want to lose my

115:12

mass, my muscle mass because you have to

115:14

work so hard to get it.

115:16

Yeah.

115:16

And what I find is if I increase my fat,

115:19

I always get plenty of protein.

115:21

But if I increase my fat content, I have

115:23

an easier time maintaining my bulk.

115:26

Are there any downsides of following a

115:27

ketogenic diet that we need to be aware

115:29

of?

115:30

The only downside I can articulate, so

115:32

in fact, I didn't even finish because I

115:34

distracted myself mentioning some of the

115:36

benefits of ketones, but ketones are

115:38

further anti-inflammatory.

115:40

Like they directly reduce inflammation

115:42

in the body by inhibiting inflammatory

115:44

processes and they also improve

115:46

antioxidant defenses, so it helps reduce

115:49

oxidative stress. So ketones do have

115:51

benefits that go beyond even what we've

115:53

taken the time to articulate. If there's

115:55

any negative to a ketogenic diet,

115:59

it could be that you start

116:02

you acutely or you temporarily become

116:05

less metabolically flexible. Now that's

116:08

me invoking a term we haven't brought up

116:10

yet, but metabolic flexibility is is a

116:12

term to refer to the body's ability to

116:15

when it eats glucose, to burn glucose.

116:18

When it's not eating glucose,

116:20

it burns fat. So you're shifting between

116:22

the two metabolic fuels that we outlined

116:24

earlier. When someone has been adhering

116:26

to a ketogenic diet for some time,

116:29

it's almost as if their body is stuck in

116:31

fat-burning mode. And that if you and I,

116:34

being in such adapted ketogenic state as

116:36

we are, if we were to go to lunch and

116:38

eat two bagels and a sugary drink,

116:42

it would take us a very long time to

116:44

clear that glucose from our blood.

116:46

Um much longer than otherwise. Like

116:48

let's say we go out with the production

116:49

team, they're eating a normal higher

116:51

carb diet, all things equal, same body

116:54

size, same activity, their glucose

116:56

levels would come up and down in 90

116:57

minutes for

116:58

perhaps. Yours and mine may take 180

117:01

minutes to come back down. So the person

117:03

may say, well gosh Steven and Ben are no

117:06

longer burning glucose very well.

117:09

And that's true in that one moment

117:11

our bodies had almost forgotten what it

117:14

was like to burn a bunch of glucose

117:15

because we had adapted to fat burning.

117:18

So what about the gut microbiome?

117:20

Oh yeah.

117:21

Cuz cuz I told someone who is a

117:23

nutritionist that I was doing a keto

117:25

diet at the moment and they said oh your

117:27

poor gut.

117:28

Ah yes, well what a naive

117:31

thing to say if I may gently reprimand

117:34

your friend. There's no evidence to

117:36

support that there's any harmful change

117:37

in the microbiome. In fact, a paper was

117:40

just published that looked at a man who

117:42

went from a normal omnivorous human diet

117:44

with abundant plant matter to a purely

117:47

carnivorous diet.

117:48

Literally zero carb.

117:50

And they documented precisely no change

117:53

in his microbiome. None whatsoever.

117:55

But is he eating plants?

117:57

No. Well he had been eating plants. So

118:00

the case study was a person eating a

118:01

normal

118:02

diet of of plants and meat. A normal

118:05

omnivore diet. And and then looked at

118:07

the microbiome and then adapted to a

118:09

purely carnivorous diet. Purely meat.

118:12

And the microbiome didn't change at all.

118:14

What's the time period?

118:15

Months I think. The problem with the

118:17

microbiome, the reason I don't take

118:19

microbiome research too seriously as a

118:22

scientist is that it is a big black box.

118:26

You You came from the UK to London to to

118:30

to LA to California. If we took a

118:32

microbiome sample analysis of your time

118:34

in the UK

118:36

now it would be different now. Even

118:38

though you're eating the same but you're

118:39

drinking different water, you're

118:40

breathing different air.

118:42

Things I was just on a plane from Utah

118:45

to California. Give me a day or so I

118:47

would have some sort of shift in my

118:49

microbiome. So the microbiome can change

118:51

in response to all kinds of things.

118:54

The idea that you somehow have decimated

118:56

your microbiome because you aren't

118:58

eating fiber is absolutely false. That

119:00

is That is completely false. Now, there

119:03

might be a change in some of the

119:05

population of your microbiome, more of

119:07

one, less of another, but there's no

119:09

evidence to suggest that's problematic.

119:11

Your microbiome is intact. Those

119:13

bacteria do not die. They're just simply

119:15

metabolizing other things. Maybe they're

119:17

relying more on short-chain fatty acids.

119:19

Maybe they're relying more on amino

119:20

acids. They're not eating as They're not

119:22

eating fiber, but there's still stuff in

119:25

the meat or the eggs that the microbiome

119:28

will eat.

119:29

But if eating lots of plants does give

119:32

me a more diverse gut microbiome, then

119:34

if I stop eating plants, I'm going to

119:37

have a less diverse gut microbiome.

119:38

but Steven,

119:40

but even then there's a bit of an

119:41

assumption built into the question

119:42

because it's Do we know that the

119:45

microbiome will be less diverse? The

119:46

case study I just mentioned found that

119:48

in this one single man, it didn't change

119:50

his microbiome at all. It was the exact

119:53

same populations in all the same

119:55

proportions.

119:56

Because isn't the Aren't the plants like

119:58

feeding the bacteria?

120:00

Yeah, yeah, so the the fiber is. So,

120:02

fiber will, but again,

120:05

it's not That's not the only thing

120:07

bacteria can eat. Bacteria can eat fats.

120:10

Bacteria can eat amino acids. They can

120:12

eat glutamine, for example. They

120:15

They can even meat will have a little

120:16

bit of glucose in it. Where the muscle

120:19

has something called glycogen. And so,

120:21

there's you know, trace amounts of

120:23

glucose in even the meat that you're

120:24

eating. So,

120:26

I do not look at the argument that, you

120:29

know, you're destroying your microbiome.

120:31

That has no That has no scientific

120:34

support. You may be changing your

120:36

microbiome, but who's to say that's a

120:38

bad change? Maybe it's a better change.

120:40

You certainly are feeling better. You're

120:42

thinking better. You're getting leaner.

120:43

Your insulin sensitivity's improved.

120:45

Cognition's improved. I would argue if

120:47

there is a change in your microbiome,

120:49

it's probably one that's for the best.

120:53

And no one can prove that wrong. As much

120:55

as I just stated that comment in a

120:57

speculative fashion, it's speculative

120:59

because there's no evidence. This is why

121:01

I look at the microbiome and just say,

121:03

"Yeah, it appears to matter, but in ways

121:05

that we don't know."

121:07

But the the You agree with the argument

121:09

that if I sat here now and I ate

121:13

a wide range of plants for the next,

121:16

let's say, 6 months, when you analyzed

121:19

my gut microbiome, it would be much more

121:21

diverse.

121:21

I'm not agreeing to that, really. I

121:23

don't know if that's true.

121:25

Um And again, I would cite that one case

121:28

report I just mentioned now, which is

121:30

the a man who did this, they reported

121:33

that the microbiome was identical. That

121:35

there was no significant change.

121:37

But that's just one man, though.

121:38

It was one man. It was a case report.

121:40

Which is not a randomized clinical

121:42

study.

121:43

So, um but even still,

121:46

I I with my speculation uh um

121:49

heavy-handed here, I would say probably

121:52

more plants would result in a more

121:55

diverse

121:56

microbiome.

121:58

But I would say

122:00

But then the next step is a harder one,

122:02

which is is that good or bad? I don't

122:04

know. Maybe all you're doing is

122:06

promoting the growth of bacteria that

122:08

make more gas.

122:10

Because they're fermenting the fiber and

122:11

you just have more flatulence as a

122:13

result of it. People dieticians will

122:15

say, "Well, a diverse microbiome is a

122:17

good microbiome." Well, prove it.

122:20

How do we know that? Like, how can you

122:22

prove that to me as a basic scientist? I

122:25

want to see the hard evidence.

122:27

Because what I can prove is that we can

122:29

take humans who are overweight and

122:31

diabetic and hypertensive eating a

122:33

standard American or global diet and put

122:36

them under a ketogenic diet, which is

122:38

going to be much simpler

122:40

diet, and yet every clinical marker gets

122:42

better. And so, if someone were to say,

122:44

"Yeah, but sure, you reversed your

122:46

diabetes and your hypertension, but your

122:47

poor microbiome." I would say, "Well, I

122:49

don't care about my microbiome. I care

122:51

about the human." And so, if there's

122:53

less diversity, but every single

122:54

clinical marker has gotten better,

122:56

perhaps more diversity is not what we

122:58

want in our bacteria. I'm And I'm

123:00

speculating, but so are the is the

123:02

person who states that.

123:04

Yes, I'm I'm not aware of um research

123:07

that links the two. Um

123:10

But I mean, I could always have a look,

123:11

but um I would

123:13

I I I was always under the assumption

123:15

that a more diverse microbiome is a

123:17

healthier person.

123:18

I don't know. Yeah, but but do you do

123:20

you feel healthier now?

123:22

Um

123:23

feel healthier. I certainly feel And And

123:26

it's only been a short amount of time,

123:27

so I don't know what what my health

123:29

might look like if I'd done this for

123:30

like 2 years.

123:32

Right, cuz then that could be a really

123:33

sort of deeper change to um

123:36

my whole composition.

123:38

for more than 2 years, and they're

123:39

they're great.

123:40

Because some of the some of the changes

123:42

that occur in our health take time. Now,

123:45

you you show this a lot in your work

123:46

with insulin resistance, that if you're

123:48

insulin resistance for 10 years, your

123:51

brain, I think I read in your work, is

123:52

like

123:53

It ages.

123:54

It ages by an an additional 2 years, is

123:56

that correct?

123:57

accelerates the aging.

123:58

I wonder the same thing with like my gut

124:00

microbiome. If I'm

124:02

if my gut microbiome is not diverse, so

124:05

I have a very sort of narrow diet or,

124:08

you know, I'm not getting I'm not eating

124:09

my plants,

124:11

could it take me a couple of years to

124:12

really understand the the net negative

124:14

impact that has on my overall health?

124:16

It It's entirely possible. Yeah, yeah, I

124:19

would just I would just ask that we be

124:21

careful with the assumptions that if

124:23

there is an an increase in diversity

124:26

with more plant matter,

124:28

that's an if. Um is that change

124:32

beneficial?

124:33

Are the bacteria that we're now

124:34

promoting the growth of, are they better

124:36

for us, or are they just bacteria that

124:38

exist in order to handle more fiber? And

124:40

again, the outcome being that it perhaps

124:43

is just making more gas.

124:45

Um you know, the more plants you eat,

124:46

the more gas you have to produce by

124:48

fermenting more fiber. What if those

124:49

bacteria are only existing to just eat

124:52

the fiber and not actually improve the

124:54

human host at all?

124:57

Psychotosis.

125:00

Possible to live in a It's I think one

125:02

of the important points on ketosis is

125:04

when I do my blood keto test, I

125:06

fluctuate wildly. After I've gone for a

125:08

run, my ketone levels are super high.

125:10

Sometimes later at night, I'm just on

125:12

the verge of ketosis sometimes. Um

125:15

and I think that's interesting because

125:17

we don't have to live in this

125:18

necessarily deep state of ketosis the

125:21

whole time. We can fluctuate uh

125:23

a little bit in

125:24

Yeah.

125:25

Maybe even sometimes drop

125:26

thought on it is that

125:28

a person would benefit from some state

125:30

of ketosis on on a frequent basis. If

125:33

for no other reason than to really give

125:35

the brain a heavy dose of just straight

125:37

energy.

125:39

Um not that everyone needs to be as

125:40

strict as perhaps you and I are being at

125:42

the moment. Um but I would say the more

125:44

a person has a disorder or a disease

125:46

that benefits from ketosis, the more

125:48

than they ought to focus on it. Like if

125:50

someone has type 2 diabetes, if they

125:52

adopt a ketogenic diet, they will be off

125:54

all of their diabetes medications in

125:55

months. All of them.

125:58

Um if someone has epilepsy,

126:01

if they're or migraine headaches, if

126:02

some of the if from 19

126:04

uh 13, I think, was the first published

126:06

report on this. If there's someone who

126:08

suffers from migraines, as long as

126:10

they're in ketosis, they may never have

126:12

another migraine again.

126:14

I mean, it is completely curative or

126:15

preventative for the disorder. Same with

126:17

epilepsy. There many forms of epilepsy.

126:19

So, depending on the person,

126:21

they would benefit from being ketosis

126:23

forever. For everyone else who's just

126:26

sort of a normal individual who wants to

126:27

be lean and keep their brain healthy and

126:30

happy, etc., I would say it's generally

126:32

prudent to just control your carbs, be

126:35

mindful of the type of carbohydrate

126:36

you're eating, and as I said earlier,

126:38

just try to focus on the carbs that

126:40

don't come from bags and boxes with

126:42

barcodes. I'm actually quite liberal in

126:45

my view when it comes to whole fruits

126:47

and vegetables.

126:48

I would say eat them, enjoy them

126:50

liberally, but then also make sure

126:52

you're getting some good protein and fat

126:54

because there's no such thing as an

126:55

essential carbohydrate. That sounds

126:57

controversial, but humans do not need,

127:00

we have no requirement for carbohydrate.

127:02

We do have requirement for fat and

127:04

protein.

127:05

What about artificial sweeteners? It's

127:07

one of the things that I I'm tempted by

127:11

when I'm on a ketosis diet is like the

127:14

soda zeros of the world or the diet

127:17

sodas of the world. What impact does

127:19

that have on my insulin levels, etc.?

127:20

Yeah, yeah, great question. There is

127:22

such a breadth of of diversity when it

127:25

comes to sweeteners, from artificial to

127:27

natural to another rare sugar more and

127:31

more, you know, there's all these random

127:32

I'm not random, but a very broad

127:35

spectrum of molecules that we have

127:37

developed or found that taste like sugar

127:40

but don't have the effect of sugar. So,

127:42

on on the good end are things like that

127:45

have been shown to have no insulin

127:47

effect.

127:48

And so, you know, I appreciate everyone

127:50

listening letting me kind of stay with

127:51

that as my framework

127:53

because people are going to go on and

127:55

criticize all kinds of other things

127:56

about other sweeteners, and that's just

127:58

too broad. That's a topic for a a whole

128:00

book. With regards to just insulin, on

128:03

the good end where they have no effect,

128:05

it would be one as common as aspartame.

128:07

So, like diet drinks, not the zero

128:10

drinks,

128:11

but the diet drinks will have aspartame

128:13

as the sweetener.

128:14

Is there a difference?

128:15

There is a difference, and I'll get to

128:16

that other one in a moment.

128:18

So, I should be having diet instead of

128:19

zero?

128:19

Well, I personally go to diet rather

128:22

than zero, um but that's because

128:24

aspartame is the sole sweetener in the

128:27

zero in the diet rather and it has no

128:30

effect on insulin. So too erythritol

128:33

sorry erythritol is a little right

128:35

around aspartame is generally a good one

128:37

but monk fruit extract stevia and

128:40

especially allulose those are inert when

128:42

it comes to insulin.

128:44

You know allulose stevia monk fruit

128:46

extract

128:48

aspartame no effect erythritol no effect

128:51

but erythritol that ending OL

128:55

is reflective of a class of sweetener

128:57

called a sugar alcohol and that does not

128:59

mean it's alcoholic that just refers to

129:00

the actual chemical structure that puts

129:02

it in the alcohol family. Once you get

129:05

into the sugar alcohols you start to get

129:07

a little problematic.

129:09

Where erythritol is a good one and

129:11

xylitol is generally a good one but then

129:14

you get to things like maltitol and

129:15

mannitol and they do have an insulin

129:18

effect.

129:18

And what what's what kind of foods have

129:20

they some?

129:20

Yeah so often like you can get mannitol

129:24

in like artificially sweetened chocolate

129:26

sometimes for reasons that I don't know.

129:28

I don't know why the food formula that

129:29

puts them in some things and not other

129:30

things. The

129:32

the problem I chuckle because it becomes

129:34

so apparent with some of those

129:36

artificial sweeteners like the sugar

129:38

alcohols is that as you eat them you

129:41

taste it sweet in your mouth

129:43

and it doesn't have any caloric value in

129:45

the body because it stays in the

129:47

intestines.

129:49

And this is something that is largely

129:51

unique to the sugar alcohols where as it

129:53

stays in the intestines it starts

129:55

pulling in water

129:57

from the body which starts to create a

130:00

fairly inconvenient degree of flatulence

130:02

and diarrhea.

130:04

And so a person will know if they've

130:05

eaten too many of those types of

130:07

sweeteners because their intestines will

130:09

tell them so.

130:11

So but also on that spectrum kind of in

130:13

the middle is the one that's in the zero

130:15

drinks which is one called sucralose.

130:19

And while sucralose is generally not a

130:21

problem with insulin It is a sweetener

130:24

that has been shown to cross the

130:25

blood-brain barrier.

130:27

And so the reason I avoid the zero

130:29

drinks and refer or go to the diet

130:32

drinks is that aspartame does no such

130:34

thing. Aspartame just gets divided into

130:36

amino acids. We just digest it and

130:38

absorb amino acids. Sucralose will go

130:42

can cross the blood-brain barrier and I

130:44

don't know what it's doing there, but I

130:45

don't want it there.

130:47

And so I avoid the zero drinks because I

130:49

don't want that sweetener.

130:52

But but personally, um when I'm adhering

130:55

to this diet, a diet soda is my actual

130:58

indulgence where I want something sweet

131:00

um and yet I don't want the metabolic

131:02

effect of it.

131:04

One thing you mentioned earlier which

131:05

I've been thinking a lot about is salt.

131:07

And I think a lot about salt because I

131:09

went to the doctor many years ago and I

131:10

think I was using this like Maggie

131:11

seasoning that I put on my food. And the

131:14

doctor said to me that my salt levels

131:16

were too high.

131:18

And I And then I've heard since then

131:20

from other people that we're actually

131:21

probably not getting enough salt in our

131:22

diet.

131:23

Yeah. So I'm interested to hear that

131:25

your physician would have said your salt

131:26

is too high. That is very rare that that

131:29

gets measured. Not salt sodium I think

131:31

he said. Yep, yep. He could have

131:32

measured sodium and that could have been

131:33

higher. They absolutely could have. It's

131:34

just not common. So salt has

131:37

has earned a terrible reputation because

131:40

of a series of studies that implicated

131:42

salt consumption as a cause of high

131:44

blood pressure.

131:46

And and really briefly, as a as a

131:49

momentary physiology

131:51

that is a real effect. If you and I were

131:54

to go eat salt, our body for the next

131:56

several hours afterwards

131:58

would retain its water in order to

132:00

balance out the salt so that we didn't

132:02

get too salty. So we would retain water

132:04

in order to keep our salt at a normal

132:06

level.

132:08

And so that could be reflected by an

132:10

elevated blood pressure.

132:12

Um however, multiple huge studies have

132:16

found that if you go to a population of

132:18

humans that have high blood pressure and

132:21

you tell them you need to cut your salt

132:23

in order to correct your blood pressure,

132:25

they may at most move their blood

132:27

pressure by one or two points. It has an

132:29

absolutely negligible, irrelevant

132:32

effect.

132:34

Um and it's because salt is not a key

132:36

contributor to blood pressure. It's

132:37

actually insulin resistance. Insulin

132:39

resistance will force the body to hold

132:41

on to salt. Insulin resistance will

132:43

force the blood vessels to be very

132:44

constricted. All of which play together

132:46

to make for a very high blood pressure.

132:48

So, as much as we have been telling the

132:50

world that we should be cutting back

132:52

salt, no, we should have been telling

132:54

them to cut back on what spikes your

132:55

insulin, refined starches and sugars.

132:58

But with regards to salt, it's

132:59

interesting for me to note where did

133:02

that whole view come from?

133:04

Within the United States decades ago,

133:06

there was a study that was published and

133:09

they called it the DASH diet. Dietary

133:12

Approaches to Stop Hypertension, D A S

133:15

H, the DASH diet. And in the DASH diet,

133:18

one of the critical changes was to tell

133:21

people to eat less salt.

133:25

And when they found that when people

133:26

adopt a DASH diet, it's amazing, their

133:28

blood pressure goes down. However,

133:31

unfortunately, they also tell people to

133:33

do lots of other things with the DASH

133:34

diet. Like when they tell someone to go

133:36

on the DASH diet, they also tell them to

133:38

eat less sugar and less refined starches

133:41

and sugars.

133:42

Well, it's possible, indeed, I would say

133:46

it's absolutely the case, that what's

133:47

actually lowering their blood pressure

133:49

isn't that they cut their salt back,

133:52

it's that they were cutting their

133:52

refined starches and sugars back. And

133:55

it's that that had the main effect. And

133:57

the cutting the salt was just some

133:58

innocent bystander. But to put a fine

134:01

point on it, in human studies,

134:04

if you have humans cut back their salt

134:07

considerably, they become insulin

134:09

resistant.

134:11

So, you take a healthy group of humans,

134:12

say you need to eat less salt, and they

134:15

do so. If you measure them a week later,

134:17

while they're adhering to this, they

134:18

will be significantly more insulin

134:20

resistant than before they ever cut back

134:23

their salt. It's one of the ironies of

134:25

the whole scenario where a physician may

134:28

be telling a patient with high blood

134:29

pressure, you need to cut back your

134:31

salt.

134:32

And they end up eating less salt, and

134:35

yet their their blood pressure their

134:36

blood pressure gets worse.

134:38

It's because the main contributor to

134:40

high blood pressure is insulin

134:41

resistance. And by telling them to cut

134:42

back on their salt, you made them more

134:44

insulin resistant. And that whole

134:46

mechanism is because one of insulin's

134:49

many, many effects is to want the body

134:51

to hold on to salt and water.

134:53

And so, if you start cutting your salt,

134:56

all of a sudden insulin says, well,

134:58

there's little salt coming in. I need to

134:59

do what I can to retain whatever salt we

135:01

do have.

135:02

And so, it starts retaining salt and

135:04

water more in order to try to offset the

135:07

lack of salt coming in. And while

135:09

insulin's going higher and higher, the

135:11

body's becoming more and more insulin

135:13

resistant.

135:14

So, salt restriction can cause insulin

135:17

resistance in humans.

135:19

You talk about four pillars to

135:22

eating

135:23

Mhm.

135:24

in your book Why We Get Sick. You

135:25

outline these four essential pillars to

135:27

develop a strategy for maintaining low

135:29

insulin levels and combating insulin

135:31

resistance. What are the four pillars?

135:34

Yes, so when it comes to controlling

135:36

insulin resistance, the key is to manage

135:38

macronutrients.

135:39

And the best way to manage

135:41

macronutrients is going to be a strategy

135:42

that helps lower insulin. Lowering

135:45

insulin is the key to both slow insulin

135:47

resistance and fast insulin resistance.

135:49

So, the more the strategy lowers

135:51

insulin, the more effective it's going

135:52

to be. And there are poor There are four

135:55

pillars. So, the first one, control

135:57

carbohydrates. Second, prioritize

136:00

protein. Third, don't fear fat.

136:04

And then fourth, after the first three

136:06

have been taken care of, four,

136:08

frequently fast.

136:10

So, with the first one, very briefly, by

136:13

control carbohydrates, I mean that it is

136:15

time to focus more on whole fruits and

136:17

vegetables. Eat them, don't drink them.

136:20

And then don't get your carbohydrates

136:21

from bags and boxes with barcodes. That

136:23

the more you're opening up a package and

136:25

getting your chips or your crackers or

136:27

your cereal or your bread, the more

136:29

you're going to be spiking your glucose

136:30

and your insulin.

136:32

Keep that on the shelves at the grocery

136:34

store. Focus on whole fruits and

136:36

vegetables. That's going to be the key

136:37

for number one, control carbs. Now,

136:40

while you're eating fewer carbohydrates,

136:44

you need to eat something. And so,

136:45

prioritize protein. I would say

136:47

particularly animal source protein,

136:50

which is the best source of all of the

136:52

amino acids that humans need. And then

136:55

with those proteins will come fat.

136:57

Don't fear that fat. That's number

136:59

three. Fat is very satiating when

137:01

combined with protein. When fat and

137:03

protein come together, we digest it

137:05

better.

137:07

Sometimes people will find that if they

137:08

just have a scoop of whey protein, it

137:10

can be very upsetting on their stomach.

137:13

It's because we're not supposed to eat

137:14

protein alone. In nature, that never

137:16

happens. In nature, protein always comes

137:19

with fat. That's how we should eat it.

137:21

We digest it better. And human studies

137:23

have shown that when a human eats pure

137:25

protein, there is some degree of muscle

137:27

growth, albeit microscopically

137:29

minuscule. But when we eat protein with

137:32

fat, we have significantly greater

137:34

muscle growth than we do with the

137:36

protein alone. So, that is the three

137:38

pillars that encompass the

137:40

macronutrients or the big parts of our

137:42

diet. But once a person has done that,

137:45

then they are well positioned

137:48

to adopt a strategy, a structured

137:50

strategy of fasting. And that can be

137:53

There are as many ways to fast as there

137:55

are people who want to do it. There's no

137:57

right way or wrong way. My goal by

138:00

invoking that fourth principle, and and

138:02

I do think it should come last once

138:04

you've learned how to eat better food.

138:06

Your your your body has adapted to

138:08

burning its own fat for fuel.

138:10

But it can take it can take intermittent

138:13

fasting where it's one meal of the day.

138:15

You're fasting through it can do where

138:17

people do alternate day fasting. There

138:19

are countless different ways to do it.

138:21

Even if I'm in ketosis?

138:22

Then you don't need to do it as much cuz

138:24

you're already lowering your insulin. So

138:26

if a person's already in ketosis in

138:28

fact, if a person were in ketosis and

138:30

frequently fasting

138:32

depending on how lean they are, it's

138:33

going to become extremely difficult to

138:35

retain muscle.

138:36

Yeah.

138:37

So those are the four pillars. It will

138:38

be an extraordinarily effective way to

138:41

address insulin resistance. But the

138:42

problem as I started when I

138:45

that I mentioned

138:47

is that while these concepts are simple,

138:49

that does not mean they're easy. Because

138:52

humans show addiction addictive

138:55

tendencies to only one macronutrient.

138:58

Not fats, not proteins.

139:01

All of the evidence of the neurobiology

139:02

of addiction in humans points to

139:04

carbohydrates. It And so as much as I

139:07

lay out this simple plan, it can be

139:09

difficult. And this is why

139:11

this self-discipline required is

139:13

difficult enough that it's why people

139:16

find that they have to result in you

139:18

know relying on drugs for these kinds of

139:20

things.

139:22

Physical activity?

139:24

Mhm.

139:24

Exercise?

139:25

Useful for keeping my

139:28

insulin levels in check?

139:29

Yeah. Yeah, I'm really glad you brought

139:31

up exercise. I'm an enormous advocate of

139:33

exercise.

139:35

The best exercise to improve insulin

139:37

sensitivity is the one you'll do. And so

139:39

if someone listening to this is an

139:40

80-year-old grandma

139:42

if she if her form of exercise is

139:44

walking around the street down around

139:46

the block with her girlfriends. But then

139:48

if someone else has the ability to go

139:50

cross-country skiing or CrossFit, do it.

139:53

So the best exercise is the one you'll

139:54

do.

139:55

Now having said that

139:57

the better exercise is the one that

139:59

you'll do that keeps muscle.

140:01

Um muscle-building work is going to be

140:04

minute for minute a more effective way

140:06

of improving insulin sensitivity than

140:08

than any kind of aerobic activity. And

140:10

that's because muscle is the great

140:12

consumer of glucose.

140:14

Um and back to the In fact, not only

140:17

does muscle eat the most glucose from

140:19

the blood, but it's also how it eats the

140:22

glucose when it's exercising. So,

140:24

earlier we talked about how insulin kind

140:27

of comes and knocks on the door of the

140:28

muscle cell. And then the muscle cell

140:30

will open the door and allow the glucose

140:31

to come in, thereby lowering blood

140:33

glucose. Unless the muscle is

140:35

exercising. When a muscle is exercising,

140:38

and I'm kind of mimicking the

140:40

contraction and relaxion relaxation of a

140:42

muscle,

140:44

when the muscle is exercising, it has

140:46

its own way of opening those doors. So,

140:49

there's an insulin-independent

140:52

method where the muscle cell essentially

140:55

tells insulin,

140:56

"Insulin, I know normally I have to wait

140:58

for you to come and open these doors,

141:00

but I'm so hungry during this exercise

141:02

that I'm not going to wait." And so, the

141:04

doors just open. So, the contracting

141:06

muscle has its own way to rush to pull

141:09

the glucose in, which means, of course,

141:12

that a person's going to have an easier

141:14

time controlling their blood glucose,

141:16

which in turn would mean a better time

141:18

controlling insulin. But,

141:20

the more muscle a person has, the easier

141:23

it is.

141:24

And this could be one of the reasons

141:26

why, if you look at longevity

141:29

and look at the markers of muscle

141:30

strength versus the markers of

141:33

cardiovascular aerobic fitness,

141:36

the aerobic fitness markers are terrible

141:38

predictors of longevity. It's muscle and

141:40

strength that predicts longevity for

141:43

multiple reasons, including just the

141:44

very active living and moving, but also

141:47

because if you have more muscle, you're

141:49

going to control your glucose better,

141:51

which means you're going to control your

141:52

insulin better. Then you're back to

141:54

these variables that people use to

141:55

predict or what are the most accurate

141:58

indicators of longevity? It's who has

142:00

the best glucose control. More muscle

142:02

helps that happen.

142:04

There's a big debate around whether we

142:06

should be calorie restricting and

142:08

low-fat diet, whether we should be

142:10

calorie restricting in a moderate fat

142:12

diet, or calorie restricting in a

142:14

low-carb diet.

142:16

What's What's your take on that?

142:18

Yeah, I am unabashedly in favor of

142:20

carbohydrate restriction. Um I I would

142:22

say for two reasons.

142:24

Um that one reason I think that

142:26

carbohydrates should be the

142:27

macronutrient that is most scrutinized

142:29

is because it's the one we eat the most

142:30

of. 70% of all calories consumed

142:33

globally come from carbohydrates.

142:35

That is the one that has the biggest

142:37

insulin effect. For And that's a problem

142:39

for all the reasons we've discussed. But

142:41

two,

142:43

carbohydrates are not essential. Um this

142:45

is controversial. People don't like to

142:47

acknowledge it, but there is literally

142:49

no biological need that humans have for

142:52

carbohydrate. Um the In the United

142:55

States, a report decades ago from the

142:57

Department of Agriculture looking at the

143:00

needs of human nutrition,

143:03

there's a quote there, and I'm not going

143:04

to get it exactly right, but I'll get it

143:06

pretty close.

143:08

It stated in this document that the

143:09

lower limit of carbohydrate consumption

143:11

in humans is zero.

143:14

In other words, there is no such thing

143:16

as an essential carbohydrate. Now, I'm

143:17

not saying, "Well, then let's not eat

143:19

any of them." No. But I am saying, "Why

143:22

is that the one we focus the most on as

143:25

70% of all calories globally are coming

143:28

from that one?" You're telling me that

143:29

we Most of what we eat comes from what

143:31

we don't need. Why not put the focus on

143:34

the things we do need? There are such

143:36

things as essential fatty acids. Let's

143:38

eat fat. There are such things as

143:40

essential amino acids. So, let's eat

143:42

protein and make sure we get what we

143:44

need. And then, on any remainder of the

143:47

plate, we can get some other things that

143:49

we want to nibble on, like plants.

143:51

Why don't we just cycle this off and

143:53

just take a Zempic then?

143:54

Ah, yeah, great question. So, the the I

143:57

have a I have kept my finger on the

143:59

pulse of the whole field of gut-derived

144:02

hormones, which is what we talk about

144:03

with these weight-loss drugs, almost

144:05

since their beginning. My dissertation

144:07

work was in a lab, one of the first

144:09

funded labs to look at these drugs,

144:11

although in the context of diabetes, and

144:14

then it's blossomed into the context in

144:16

the use of obesity. This This is the

144:19

class of drug, GLP-1 receptor agonist.

144:21

First of all, what is GLP-1? GLP-1 is a

144:24

hormone that we all make from our guts.

144:27

Our small intestine will make GLP-1.

144:30

We're making it all the time to varying

144:31

degrees. Some things we eat will result

144:34

in a higher GLP-1, sometimes it'll be a

144:37

lower GLP-1. Like, for example, a paper

144:39

just published a few months ago found

144:41

that if you have people eat the exact

144:43

same meal of calories, but lower carb or

144:46

higher carb, the lower carb version of

144:48

the meal will increase GLP-1 three times

144:51

higher in the blood than the high carb

144:53

version of the meal.

144:54

Which means that they'll feel

144:56

Yeah, so then the What So, what's the

144:57

point? Who cares about GLP-1? One of

144:59

GLP-1's main effects is to tell the

145:01

brain that we're full.

145:03

Okay, so more GLP-1 means

145:05

More satiety. Yeah, yeah, more GLP-1,

145:06

less hunger, which is very impactful.

145:09

In fact, I would be remiss if I didn't

145:11

mention a study that was published in

145:13

humans a while ago. They took obese

145:16

humans and lean humans

145:18

and had them eat fat

145:20

and found that like pure fat, and they

145:22

found that the GLP-1 response was the

145:23

same. Whether you were lean or obese,

145:26

you had the same amount of GLP-1. That

145:28

would suggest that whether you're lean

145:30

or obese,

145:31

both of your brains in both of these

145:33

populations will have the fat and have

145:35

the same sense of I'm full.

145:38

It would cuz it was matched with GLP-1.

145:40

However, when they had these same groups

145:43

eat pure carbohydrate,

145:45

the lean group had a robust GLP-1

145:48

response. Big GLP-1. In other words,

145:50

they would eat the carbohydrate and say,

145:53

"I'm full."

145:54

Cuz GLP-1 would tell them so. However,

145:56

in the obese group, they ate that exact

145:58

same amount of carbohydrate and they had

146:00

an almost negligible GLP-1 effect.

146:03

They were still hungry.

146:03

In other words, they would eat the same

146:05

amount of carbohydrate as their lean

146:06

counterpart and then just say, "Okay,

146:08

what's next? I'm still hungry." And so,

146:11

it is prudent to focus on GLP-1. GLP-1

146:14

is a powerful hormone that does have an

146:17

effect on human health.

146:19

What I feel inclined to comment on is

146:22

the negative side effects because the

146:24

only thing we hear about is social media

146:26

influencers extolling the benefits.

146:28

And hey, I'm on this weight loss drug

146:30

and I've lost 50 lb.

146:32

Someone has to be the voice that says,

146:34

"Yeah, but what about this?" And there

146:36

are some significant

146:38

but what abouts when it comes to these

146:41

um weight loss drugs. One of them

146:44

is the loss of muscle mass or lean mass.

146:46

You've mentioned a couple papers from

146:48

the New England Journal of Medicine. A

146:49

paper a couple years ago from what was

146:52

called the Step 5 trials looking at

146:53

these drugs.

146:55

They found that for every 6 lb of fat a

146:58

person was losing on these drugs,

147:01

they were losing 4 lb of fat-free mass

147:04

or lean mass.

147:05

So, 40% of the weight they were losing

147:08

uh on these drugs is coming from lean

147:11

mass, like including muscle and bone.

147:14

So, there are now case reports of young

147:16

healthy women who are overweight who go

147:18

on the drug for some period of time and

147:20

after they get diagnosed with

147:21

osteoporosis

147:23

where they have eroded their bone

147:25

health. They're losing lean mass. So

147:27

again,

147:27

They've eroded that bone health.

147:29

Yeah, so 40% of the weight that people

147:32

are losing on these drugs

147:34

appears to at these high doses is coming

147:35

from lean mass. So, fat-free mass

147:38

including muscle and bone. The reason I

147:40

find that so troubling

147:42

is that in the UK at 2 years on the drug

147:46

69% of people get off the drug.

147:50

They don't want to be on it anymore. And

147:52

now imagine this individual. Imagine if

147:54

you will a 60-year-old woman

147:56

who's been on the drug. I take that age

147:58

and that sex on on purpose because it's

148:00

so hard for her to to grow new muscle

148:03

and bone. Let's say she's been on this

148:05

drug for a year and she's lost 20 kilos.

148:09

Well, 40% of that will have come from

148:12

her lean mass and 60% of it came from

148:15

her fat. And then when she gets off the

148:17

drug

148:18

now all of a sudden her lean mass, her

148:21

muscle and bone, that's never coming

148:22

back. The muscle and bone that she has

148:24

lost is gone forever probably at that

148:27

age

148:27

because we can't at after the age of 60,

148:30

good luck developing new muscle and

148:31

bone. But what can come back rapidly is

148:35

the fat mass.

148:36

And so at 2 years

148:38

she decides to get off the drug, which

148:40

again about 70% of people do, they're

148:42

going to gain that fat back. But they're

148:44

not going to gain their muscle and bone

148:47

back. That is a significant loss that

148:49

may be depending on their age gone

148:52

forever.

148:53

I was scrolling on Twitter the other day

148:55

and I saw a video go viral, which is now

148:59

being reported in a bunch of news

149:01

publications. It was yesterday that I

149:03

saw um this video go viral. And I'm

149:05

going to play this video to you. It's

149:07

from a singer called Avery.

149:10

And she talks about her experience with

149:12

Ozempic.

149:13

I just left the doctor's office. I went

149:16

to get a checkup

149:17

because I've been off of the Ozempic for

149:19

2 months now and I just wanted to see

149:22

my body was in better condition, if

149:23

there were any permanent damages. Kind

149:26

of in shock right now because I wasn't

149:28

expecting this.

149:30

But um I guess Ozempic

149:33

can cause bone density loss. And I

149:36

didn't think that that would happen to

149:38

me because

149:40

I was only on it for a year.

149:42

Um but I have significant bone loss. I

149:45

have osteoporosis

149:47

and um

149:48

osteopenia. So, there are There's like

149:51

several of them that I have.

149:53

I wasn't expecting that.

149:55

But, that's what happens if you um

149:59

if you use Ozempic

150:01

uh for weight loss and you lose too much

150:03

weight.

150:03

Yeah, I wonder.

150:04

She's so lean.

150:06

I wouldn't be surprised if she had it

150:08

even worse than normal because we see it

150:11

has become I don't mean to suggest this

150:13

is the case for her.

150:15

But, you do see people using these

150:17

weight loss drugs who are already very

150:19

lean.

150:20

I mean, I've got a picture of her here.

150:22

And she does look incredibly lean

150:24

already.

150:24

But, see this is what people are doing.

150:26

They're basically using it to facilitate

150:28

an eating disorder in the people who are

150:30

lean. Um this has become so common that

150:32

there are complaints saying that you

150:34

know, lean healthy people are getting

150:35

the prescription and people who are

150:37

obese and diabetic aren't because of

150:39

shortages.

150:40

The more the the leaner I've seen this.

150:43

I know someone personally who is already

150:46

a perfectly lean healthy woman

150:48

and then she now looks sickly.

150:50

Um and

150:51

what caused it? Well, she wasn't lean

150:54

enough.

150:55

And when you take enough of that drug

150:57

that you just have no more hunger

151:00

because of how it's acting at your

151:01

brain, you do just stop eating. And the

151:03

malnutrition at least in part is going

151:05

to cause a loss of lean mass.

151:08

Um but that also

151:10

play it it it is even further

151:13

exacerbated by the mental health

151:15

problems. Where There was a paper

151:16

recently published with the use of these

151:18

drugs finding that people when they

151:20

begin the drug, their risk of suicidal

151:23

thoughts doubles. It It up by over 100%.

151:26

and their risk of major depression

151:28

triples.

151:30

And this so as much as we talk about

151:32

these drugs and we say

151:34

the drug helps you control your

151:36

cravings.

151:38

What it's hap- what it's doing is

151:40

perhaps reducing your craving for

151:43

everything. That while you are eating

151:44

less food, which is resulting in the

151:46

weight loss, you also are not interested

151:49

as much in exercise as you used to be,

151:50

which is going to make it even easier

151:52

for you to lose your muscle and bone.

151:54

You're also less interested in hobbies

151:56

like going to play pickleball with your

151:58

friends or going out and drinking with

152:00

the boys. Um so there is this kind of

152:03

what's reflected across all of their

152:05

interests is that their cravings for

152:08

everything starts to

152:09

decline.

152:10

In the case of that girl who mentioned

152:12

that Avery, I've just seen she's

152:13

uploaded a post that says, "Thanks, my

152:15

record label told me I was fat. They

152:17

dropped me. I got addicted to Ozempic."

152:20

I got addicted to Ozempic and now as a

152:21

result I have osteoporosis and my bones

152:24

are as as fragile as wafer cookies.

152:27

Yeah, it's heartbreaking. Um so now that

152:30

Obviously, you know, these are claims

152:32

that she's alleging. Now we don't know

152:33

the full picture of her health and there

152:35

might be something more.

152:36

But we do know

152:38

based on that one report that 40% of

152:40

weight loss is coming from fat-free mass

152:41

and so it isn't people's best interest

152:43

to be mindful of that tendency and that

152:45

if they're going to explore the use of

152:47

the drug to do so responsibly. And and I

152:49

want to mention that um kind of caveat

152:53

or angle to everything because I don't

152:55

want someone listening to me thinking

152:57

"All right, Ben says I should never

152:58

touch this and it is uniformly evil and

153:01

bad." I'm not saying that. I find that I

153:03

have to speak a little more boldly about

153:06

the negative consequences because nobody

153:08

talks about them. What would she have

153:09

done if she knew about them, for

153:11

example? No one knows about these kinds

153:13

of negatives because people want to

153:14

sweep them under the rug. Now, I believe

153:18

there is a use case for these drugs,

153:21

although different from how it's being

153:22

used currently, in my mind, the best use

153:25

of these drugs is to help someone learn

153:27

how to control their carbohydrate

153:29

addiction because it will help you

153:31

control your addiction. Sweet cravings

153:34

goes down significantly within 6 months

153:37

of the person taking the drug.

153:39

So, I think in addition to getting

153:41

proper education, and if I may be so

153:44

bold, I would say it's those pillars I

153:45

mentioned earlier. Control

153:47

carbohydrates, prioritize protein, and

153:49

don't fear fat. All the more reason

153:52

prioritize protein and fat to help

153:53

preserve your muscle and bone.

153:56

Muscle and bone are not made of

153:57

carbohydrate. They're made of mus- of

153:59

protein and fat. Eat protein and fat.

154:02

Lift weights to keep any of that lean

154:04

mass you can. Keep the integrity of your

154:06

bones intact. But, take advantage of the

154:09

drug helping reduce your cravings for

154:11

sweet things especially.

154:13

I would say find the lowest effective

154:16

dose you can where you are able with a

154:18

little bit of self- discipline where

154:20

you're not assigning all of the

154:22

self-discipline to the syringe that

154:23

you're going to inject into your tummy.

154:25

There is value in learning to deny

154:28

yourself something you know you

154:29

shouldn't be doing. There's life lessons

154:31

to learn there. And so, enough of the

154:34

drug that makes it a little easier for

154:36

you

154:37

to overcome your carbohydrate addiction.

154:40

At the same time,

154:41

you're learning how to eat well. You're

154:43

learning how to eat properly by managing

154:45

your macronutrients and lifting weights.

154:48

And then over time, ideally I would say,

154:51

you find that you are able to reduce the

154:53

dose of the drug and then eventually get

154:55

off of it entirely.

154:56

It's worth saying that I I did also

154:58

search to see if there was a link

154:59

between Ozempic and bone density, and

155:01

there was no

155:03

clear link in the studies that have been

155:05

done. I I don't know whether there's

155:06

been a lot of studies done. It says in

155:08

the studies and reviews semaglutide

155:09

generally shows no harmful effect on

155:10

bone mineral density, although rapid

155:12

weight loss itself can sometimes affect

155:14

bone health.

155:15

Yeah, so I actually think it's an

155:16

artifact. That's a term that we would

155:18

use as a scientist to say that it's it's

155:20

an it's an effect that's happening

155:22

without being a main effect. So, I don't

155:24

believe the GLP-1 drug is attacking the

155:26

bone.

155:27

Yeah.

155:27

I think it's because the person has just

155:29

stopped eating and stopped moving.

155:31

Remember what I said earlier, people

155:33

find that they're just less interested

155:35

in doing stuff like going to the gym,

155:38

for example. Um and so that is probably

155:41

combining where a little bit of

155:42

malnutrition

155:44

combined with a little less physical

155:46

activity means you're accelerating some

155:48

lean mass loss.

155:50

One of the things that this podcast has

155:52

taught me is that liposuction

155:54

is

155:56

dangerous.

155:57

Do you agree with that statement?

155:59

I do. From a metabolic perspective, I

156:01

absolutely do. Um liposuction is not

156:04

dangerous to fit into the clothes you

156:06

want to wear, but it's deeply

156:08

problematic for metabolic health. And

156:10

that's because, as a reminder, it's not

156:12

the mass of fat we have that matters

156:14

most when it comes to metabolic health.

156:16

It's the size of our fat cells. So,

156:18

let's imagine an individual who has more

156:21

fat than they want in some particular

156:22

part of the body.

156:24

The best way to help reduce that fat is

156:28

to shrink your fat cells. So, that's

156:29

very important for people to realize.

156:31

When you lose weight, you're not killing

156:33

fat cells. You're not You're not getting

156:35

rid of them. You're shrinking them.

156:37

And small fat cells are very healthy fat

156:40

cells. They are literally

156:41

anti-inflammatory. They're releasing

156:43

hormones that fight inflammation in the

156:45

body, and they're very

156:47

insulin-sensitive, which helps the body,

156:48

by extension, be very insulin-sensitive.

156:51

So, very healthy. Small fat cells are

156:53

healthy fat cells. The problem with

156:55

liposuction is that you are going in,

156:57

and rather than shrinking the fat cells,

156:59

you are sucking them out.

157:01

Now, let's say, like a study that was

157:03

done in the US in women,

157:06

they found that when women had

157:08

liposuction from their buttocks and hips

157:10

area,

157:11

um which is where most women gain their

157:13

weight, which is because of sex hormones

157:15

telling her body to store that weight

157:16

there,

157:17

they may look at that fat on their

157:19

buttocks and hips and say, "There's more

157:20

than I want. I'm going to suck it out."

157:23

So, they do. But, they don't change

157:25

their habits. So, they're still eating

157:27

the same way they were before.

157:29

Essentially, now they have fewer fat

157:31

cells, but the body wants to store that

157:34

same amount of fat based on how they're

157:37

eating. In other words, there's enough

157:38

insulin telling the body to store a

157:40

certain amount of fat and there's enough

157:42

calories to fuel that fat storage.

157:45

But, the the fat would be saying, "Hey,

157:48

we don't have all these fat cells in the

157:49

buttocks and hips like we used to. Let's

157:51

go somewhere else." And so, it's no

157:53

surprise that over the ensuing years

157:55

after she's had liposuction, not only

157:57

does she not experience any improvement

157:59

in any health marker. Nothing gets

158:02

better with regards to her health.

158:04

And that is again reflective of the fact

158:06

that it's the size of the fat cell that

158:07

matters. Maybe she has lost 10 kilos of

158:10

fat. That might be a little much for

158:11

liposuction. 6 kilos.

158:14

And you would say, "Well, you have 6

158:16

kilos of less fat. Clearly, you're

158:18

healthier." And yet, they're not at all.

158:20

Nothing has gotten better. And then, if

158:22

you follow them over the years, they

158:24

cannot gain that fat back on their

158:27

buttocks and hips because it was

158:28

literally sucked out and adults have a

158:30

hard time making new fat cells. So, it's

158:33

no surprise that they start storing more

158:35

fat in an area that wasn't sucked out,

158:38

namely their belly. And so, a woman

158:40

who's gone through liposuction, yes, she

158:42

will have lost fat by liposuction at her

158:45

buttocks and hips. But, if she doesn't

158:47

change her lifestyle habits, the body

158:49

will take those 6 kilos and say, "Well,

158:51

I need to store those now somewhere else

158:53

because you're eating in a way that

158:55

makes me want to store that much fat."

158:57

And so, her remaining fat cells that are

158:59

intact get bigger and store a bigger

159:01

burden. And so, over time, it's no

159:04

surprise that health outcomes can start

159:06

to get worse.

159:07

By having fewer fat cells, she's

159:09

increasing the burden that the remaining

159:12

fat cells have to carry. Not only does

159:14

that result in a a change in where she's

159:16

storing fat, namely storing more on her

159:18

abdomen,

159:19

but all the fat cells will get bigger.

159:22

And thus, metabolic health can get

159:24

worse.

159:25

We have a closing tradition on this

159:27

podcast where the last guest leaves the

159:29

last question for the next guest, not

159:30

knowing who they're leaving it for. And

159:32

the question that's been left for you,

159:33

Ben, is who in your life gave you a

159:35

chance or believed in you when no one

159:37

else did?

159:40

What a fun question.

159:42

Um thank you.

159:43

Um

159:45

probably my wife.

159:47

Uh frankly, I just adore her. I think

159:50

about So, when we were newlyweds, uh we

159:53

got married quite young, if you'll allow

159:54

me to be a little personal for a moment.

159:56

We both really wanted a family. We knew

160:00

that we wanted to be m- uh mom and dad.

160:04

And she really wanted to be uh a at-home

160:06

mom, just full-time mom.

160:08

Which I loved. I benefited. My mother,

160:11

um who died when I was quite young, she

160:13

was a full-time mom. And most of my

160:15

memories come from her being home. When

160:19

I would come home from lunch or I had a

160:20

tummy ache and she would come pick me

160:22

up. And I I mean, I think I thank God

160:24

for my for my mother, of course, but

160:26

also for the time I had with her because

160:29

I had so little.

160:30

Um and we both really wanted

160:33

Cheryl to be able to be full-time mom.

160:35

Mom is just that special.

160:37

That meant, as a young newly married

160:40

husband, I was anticipating a future

160:43

where I would be the sole provider for

160:45

the family.

160:46

And it was very daunting, uh very um

160:51

scary for me as a 23-year-old. That's

160:53

how old I was when we got married. And I

160:55

worried, how am I going to provide for

160:58

my family? And And would look at the

161:00

trust that my beautiful wife had in me

161:03

and I felt inadequate. And I I have

161:06

moments where I remember young Ben in

161:09

his early 20s as a newlywed and how

161:12

scared I was and how my wife's ongoing

161:16

devotion

161:17

put us in a position where I both make a

161:20

wonderful amount of money to provide for

161:22

the family and help secure our future

161:24

and then at the same time still have a

161:26

schedule that lets me be really home, to

161:28

go home early and help one of our

161:30

daughters with her homeschooling, which

161:31

I do, to always not go into work until

161:34

I've made breakfast for the kids and

161:36

we've had some family time.

161:38

So, um much of all of it is just this

161:42

the support of my wife because at any

161:44

moment if she would have said, "No, I'm

161:46

done. You got to go get a job right

161:47

now."

161:49

I would have.

161:50

I I love her and respect her enough and

161:52

even rely on her insight that I would

161:53

have done it.

161:55

But she just really believed that,

161:57

"Okay, Ben, you're not dumb.

161:59

I didn't marry you for your looks. I

162:01

think you've got something. I'm going to

162:02

trust you." And that trust was it was

162:05

both humbling and scary but also very

162:07

empowering. And it's given us a

162:09

beautiful life.

162:11

Ben, thank you. It's been truly

162:12

eye-opening and you've answered so many

162:14

of the questions that I've had for so so

162:15

long, especially as it relates to

162:16

ketosis and the broader link between

162:19

insulin, infertility, pregnancy, PCOS,

162:23

all of these kinds of things which are

162:24

topics of conversation amongst my

162:26

friends and people that I love. Ben,

162:27

thank you.

162:28

My pleasure. Thank you.

162:33

Isn't this cool? Every single

162:35

conversation I have here on the Diary of

162:36

a CEO, at the very end of it you'll know

162:38

I ask the guest to leave a question in

162:42

the Diary of a CEO. And what we've done

162:45

is we turned every single question

162:47

written in the Diary of a CEO into these

162:49

conversation cards that you can play at

162:52

home. So, you've got every guest we've

162:54

ever had, their question, and on the

162:57

back of it, if you scan that QR code,

163:00

you get to watch the person who answered

163:03

that question. We're finally revealing

163:06

all of the questions and the people that

163:09

answered the question. The brand new

163:11

version two updated conversation cards

163:14

are out right now at the

163:16

conversationcards.com.

163:18

They've sold out twice instantaneously,

163:20

so if you are interested in getting hold

163:21

of some limited edition conversation

163:23

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163:25

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Interactive Summary

In this insightful conversation, metabolic scientist Dr. Benjamin Bikman explores the hidden epidemic of insulin resistance, identifying it as the common metabolic core of many modern chronic diseases, including Alzheimer's, heart disease, and PCOS. He details how lifestyle habits, particularly high-carbohydrate diets and excessive insulin levels, contribute to both 'fast' and 'slow' lanes of insulin resistance. Dr. Bikman also advocates for prioritizing protein, healthy fats, and metabolic flexibility—often achieved through ketosis—as essential strategies for reversing these issues and improving overall health.

Suggested questions

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