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Venki Ramakrishnan: The Science and Hype of Living Longer | Podcast | In Good Company

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Venki Ramakrishnan: The Science and Hype of Living Longer | Podcast | In Good Company

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1105 segments

0:01

Hi everybody and welcome to In Good

0:03

Company. I'm Nicolola Tangan, the CEO of

0:05

the Norwegian Sovereign Wealth Fund. Now

0:08

longevity is one of the hottest topics

0:10

in the world right now. Billionaires are

0:13

pouring money into it. [music] You know,

0:15

when they were young, they uh wanted to

0:17

become rich and when they are rich, they

0:19

want to become young. The wellness

0:21

industry is selling it and opinions

0:24

about how to live longer and everywhere.

0:27

So we wanted to find out what is real,

0:29

what is hype and how close are we to

0:32

live forever. To help us answer this,

0:34

I'm joined by Sir Weni Rama Krishnan,

0:37

the noble winner in chemistry, former

0:40

president of the Royal Society and

0:41

author of the incredible book Why We

0:43

Die. Weni, warm welcome.

0:46

>> Thank you.

0:46

>> You start your book with the pharaohs of

0:50

Egypt who believe they could transcend

0:53

death. Why did you begin there? Well,

0:56

the pharaohs are an interesting story

0:58

because humans try to avoid death by a

1:01

variety of strategies.

1:04

Plan A is simply to try not to die. Plan

1:08

B is to try to believe that even if you

1:11

die, your whole body will be resurrected

1:14

and you will go to some paradise.

1:17

And plan C is that maybe your body will

1:20

decay but you will have an immortal soul

1:23

that will uh you know outlast you and

1:26

you can occupy other bodies and so on.

1:29

>> So now many thousand years later how

1:32

close are we to living forever?

1:34

>> I think there's no physical or chemical

1:36

law saying that our lifespan has to be

1:40

uh what it is today. I mean if you look

1:42

at it today we can expect at the most to

1:45

live to be about 110 to maybe 120 years.

1:50

Only one person has exceeded 120 years.

1:54

Uh but saying there's no physical law

1:57

doesn't mean anything because you know

1:58

there's no physical law that we can't uh

2:01

eventually colonize other galaxies. But

2:04

if you look at all of the difficulties

2:06

involved even in, you know, going to

2:09

Mars, uh, you realize that it's

2:12

incredibly hard. And so I put a this

2:17

long life extension, hundreds of years

2:20

in that category, you know, which is

2:23

highly unrealistic today, despite what,

2:26

you know, you may hear from various uh

2:29

people promoting hype. Before we uh kind

2:33

of dig deeper, how do you define aging?

2:35

>> Aging is I would say the gradual loss of

2:39

function of our systems. That is from

2:42

our molecules, cells, tissues to the

2:45

entire body. It gradually loses function

2:48

due to accumulation of damage and

2:51

changes with time.

2:53

>> And and that's how I would define aging.

2:56

Now, it has external manifestations. You

2:59

know, you you can't walk as fast. you

3:01

don't you're not as strong, you're more

3:03

resist more susceptible to infections,

3:06

you know, so there are many external

3:08

manifestations, but underneath it are

3:11

these accumulated damages to our cells,

3:14

tissues, and ultimately comes from our

3:17

molecules.

3:18

>> Well, you are 74. I can't see so many

3:20

external manifestations in you. But

3:22

>> well, I I'm lucky because I have a dark

3:24

skin in a northern climate. So that

3:27

gives a superficial

3:29

uh you know illusion. But if you if you

3:33

were to look at the inside of my body,

3:35

you you would find it's quite old.

3:37

>> Well, we should talk about that later.

3:39

But it seems like two ideas are getting

3:41

a bit blurred, right? So extending life

3:43

means slowing the aging process and then

3:45

rejuvenating cells means making old

3:48

cells young again. So what's the kind of

3:49

that difference between the two?

3:51

>> Okay, so most uh anti-aging strategies

3:55

have to do with preventing damage or

3:58

slowing down uh the you know damage and

4:01

and dysfunction. Okay. And but some one

4:06

class of strategies involves trying to

4:09

get cells to go backward in development.

4:13

And if you the way to think about it is

4:15

a fertilized egg can develop into every

4:19

kind of tissue in the body. That's what

4:21

it does, right? And the if you look at

4:24

the early embryo, it has many cells, but

4:26

each of those cells could become any

4:28

type of tissue. Those are called

4:31

pluropotent stem cells. But as the

4:34

embryo develops, the stem cells become

4:36

specialized. So some cells can only make

4:41

cells of the blood system, others can

4:43

only make cells of the nervous system

4:46

and so on. There are many types of cells

4:47

but still a small class of cells. Now

4:53

the way but this process normally never

4:55

goes backwards except in real life it

4:58

does. For example, the child born of,

5:03

you know, old parents like 30-year-old

5:05

parent, uh, it starts the clock from

5:08

zero, right? And in fact, the child born

5:11

of a 40-year-old woman is not older than

5:14

the child born of a 20-year-old woman.

5:17

So, at some point, you know, there is

5:18

this resetting.

5:20

The resetting is not completely perfect

5:22

but because there's a lot of selection

5:24

involved in birth you know all the any

5:27

cells that are defective or simply don't

5:29

make it uh to a full grown [snorts] uh

5:32

ch child. So that's the process that

5:36

people are trying to reverse. And the

5:38

first proof was when John Girden took a

5:42

skin cell from a frog

5:44

>> and took the nucleus and put it into an

5:47

egg and could grow a completely brand

5:49

new frog that was a clone of the

5:51

original frog. This showed that you

5:53

could actually reset the clock in a skin

5:56

cell [snorts] and make it develop into a

5:59

whole new frog again. And then Yamanaka

6:02

showed that only introducing four genes

6:06

into uh some cells, any cells can can

6:10

make it go backwards all the way to that

6:13

early form of a stem cell.

6:17

>> And that's the logic people are trying

6:19

to use. Now, of course, you don't want

6:21

to make all your organs go backwards all

6:24

the way back to pluropotin stem cells

6:26

because that there would be a big

6:28

confused mess and you would get tumors

6:30

and so on. But people are asking, can

6:34

you make this program go backwards just

6:37

a little bit so that the cells still

6:40

maintain their identity? the skin cell

6:42

stays a skin cell and the muscle cell

6:45

stays a muscle cell or the liver cell

6:47

stays a liver cell and but but it's

6:50

slightly backwards in development

6:53

>> you know has gone backwards so you can

6:55

think of it as a way of trying to

6:57

reverse the aging clock and that is a an

7:01

exciting area but you know making it

7:04

work in humans in a safe and effective

7:07

way it's not clear how long it'll take

7:10

>> no What's actually going on inside our

7:13

cells as we get older?

7:14

>> Well, many things happen. So, one is

7:16

that our molecules get damaged and a

7:20

primary source of damage is if you

7:22

damage your DNA so that uh you know it

7:27

it is problematic. It results in two

7:30

things. One is the cell can sense the

7:32

damage and it can send the cell into a

7:36

program called scinessence where it

7:38

doesn't function normally and in fact

7:41

creates secretes inflammatory compounds.

7:45

Now early life this is a cancer

7:47

prevention mechanism because if you have

7:50

to damage DNA you don't want that cell

7:52

to hang around because it may mutate

7:54

into a cancer cell right and so this is

7:57

a mechanism to get rid of these cells

8:00

where damage is sensed but if the damage

8:02

persists it can also alter the genes

8:05

that are you know part of the genetic

8:08

program and that can also cause

8:10

dysfunction. So there are ways that you

8:14

know molecular damage can cause

8:15

dysfunction. Now this kind of damage

8:18

then results in the cell itself not

8:22

regulating itself properly. The organels

8:25

in our cell called mitochondria

8:28

which have their own DNA but also

8:30

interact with the rest of the cell they

8:32

also can get damaged uh quite a lot. So

8:36

you can see these kinds of damages occur

8:39

due to all kinds of things. Exposure to

8:42

chemicals even water uh alone can cause

8:45

DNA damage that's that was uh discovered

8:48

by Thomas Lindal [clears throat]

8:50

>> uh for which he won the Nobel Prize. So

8:52

just the act of living causes damage but

8:55

we have sophisticated repair mechanisms

8:59

that constantly repair the damage but at

9:03

some point the damage starts

9:04

accumulating with age.

9:07

>> Those mechanisms are never perfect.

9:09

>> Talking of which so um a century ago uh

9:12

most people died when they were 50 or

9:15

before and today the average uh is

9:17

roughly 80. You mentioned one person had

9:20

made it to above

9:23

120. So why has that ceiling not moved?

9:26

>> Okay, this there's a difference between

9:28

the average and the ceiling. So life

9:30

expectancy has doubled in the last 150

9:33

years, but that's mostly due to

9:36

improvements early in life. For example,

9:39

infant mortality has gone down. Uh you

9:42

know, many infectious diseases uh can

9:45

now be cured. So and accident rates have

9:49

have been reduced dramatically. So all

9:52

of those things mean that we can live to

9:55

an older age. So the average has gone

9:58

up. Okay. But even in the 1500s,

10:01

Michelangelo lived to be almost 90. So

10:04

it's not, you know, that nobody lived to

10:07

be an old age in the in olden times.

10:10

It's just the average was low. and and

10:12

we solved it by public health and

10:14

vaccination and nutrition and medicine.

10:17

Okay, those are the four uh big things.

10:21

But as you get older, then aging starts

10:23

to kick in and that we've not actually

10:26

uh made a lot of progress in. And so the

10:30

maximum lifespan has not actually

10:32

changed a lot. It's changed a little bit

10:34

because you know people do live longer

10:37

and so more of them make it to over 100.

10:40

For example, the number of people over

10:42

100 is increasing everywhere.

10:44

>> I think the prime the prime minister

10:46

typically in the past sent letters to

10:48

everybody turning 100 and then suddenly

10:50

became just too much work. Right. In

10:52

Japan, they produce more diapers for old

10:54

people than for babies.

10:55

>> Yes. That's that's a whole another

10:57

problem. What is happening is society is

10:59

getting older but but people the

11:02

fertility rates are going down.

11:04

>> Yeah.

11:04

>> So society is becoming skewed towards an

11:08

older population. But how do we crack

11:10

this 120 year barrier? What do you think

11:12

you will crack it?

11:13

>> Well, I think I think if you slow down

11:18

aging,

11:20

uh it's unlikely that you'll get huge

11:22

gains. What you will get is more and

11:24

more people uh reaching say 100, okay,

11:29

or beyond. I think the uh way that

11:32

people might be able to crack the 120 is

11:35

by this kind of reprogramming

11:38

uh which is you know trying to get cells

11:41

to essentially reverse uh effectively

11:45

reverse their aging uh their biological

11:48

age uh by resetting uh some of these

11:51

clocks. But al although it's been

11:55

demonstrated in animals,

11:57

there are real problems getting it to

12:00

work uh in humans.

12:02

>> Why?

12:03

>> Because you know the way that they

12:06

introduce it in animals is either they

12:08

have transgenic mice which turn these

12:11

genes on or off. And by the way, we

12:13

don't know if these genes are really

12:15

safe over the long run. Some of them are

12:17

anko genes for example which can cause

12:19

cancer. Uh [snorts]

12:21

the other other way to do it is by

12:24

packaging these genes inside a viral

12:27

shell.

12:29

These are called adnoviral vectors and

12:32

then you introduce them. Now the problem

12:34

is that these genes have to go into all

12:37

of the cells in the tissues of interest

12:40

and do it sort of uniformly.

12:43

And all the evidence says that for

12:45

example when they target a pancreas only

12:48

some cells you know some clusters of

12:50

cells in the pancreas are reprogrammed

12:53

and other cells are not reprogrammed.

12:55

Okay. Now in mice this still causes some

13:00

benefit. It still produces some benefit

13:03

but you can see if you want to do it in

13:05

humans you have to be able to do it in a

13:08

much better controlled

13:10

uh and safe way you know. So I I don't

13:13

think I think there's a lot of

13:15

excitement and there's a lot of hype. I

13:18

personally don't think it's around the

13:20

corner as far as humans are concerned.

13:23

And we also don't know for example in

13:25

mice it didn't actually increase the

13:28

longevity of the mice. You know these

13:30

reprogrammed mice they they just older

13:33

mice looked healthier uh by various

13:36

criteria than younger mice but it didn't

13:39

increase their lifespan. different

13:41

organs age at different rates. Uh what

13:43

organ what organs age uh the quickest?

13:47

>> I I think it would vary quite a lot

13:49

depending on the person. You know, you

13:52

could imagine for example, if somebody's

13:53

a heavy smoker, then maybe their lungs

13:55

are aging faster than or somebody's a

13:58

heavy drinker, maybe their liver ages

14:00

faster. I just don't know. uh I I think

14:03

there the one of the more interesting

14:05

papers on it simply showed that if you

14:08

apply most standard markers then

14:12

different organs in in people were had

14:14

different biological ages.

14:16

>> Talking of these markers these hallmarks

14:18

of aging

14:20

um

14:22

what what are the what are the most

14:23

important ones? I think you you

14:25

typically talk about 12 of them but what

14:27

are the most important ones?

14:28

>> I don't think you can say one is more

14:30

important than the other. my as a

14:32

molecular biologist I think you know

14:35

modific damage or modification to DNA is

14:38

fundamental and and really drives a lot

14:42

of the rest. Uh however they're all

14:45

important in their own uh frame. For

14:48

example, damage to mitochondria is is a

14:51

thing in itself and you know loss of

14:54

stem cells is is is a factor in itself.

14:58

Of course, you could say underlying it

15:00

all, maybe the primary cause is is

15:03

damage to our uh DNA and and the

15:06

response to that DNA damage.

15:08

>> How is AI changing the pace of

15:11

discovery?

15:11

>> I think AI uh is very very good at

15:15

recognizing patterns in large data. And

15:19

so for example in my field of structural

15:22

biology uh it has really revolutionized

15:25

the ability to predict structures just

15:28

from the sequence uh that you can get

15:31

from just sequencing the gene for

15:33

example and u but

15:37

I think with aging aging is a complex

15:41

multiffactorial process it's not just

15:44

one thing I mean I mentioned DNA damage

15:46

that's not the only thing you know There

15:48

are all sorts of things that that are

15:51

interconnected

15:52

and how to make sense of that uh is not

15:56

clear and what sort of data you would

15:58

feed uh to AI to train it uh is also uh

16:03

not clear. However,

16:06

what I can say is that AI has been

16:09

advancing so dramatically that it's hard

16:12

to predict anything about AI. What are

16:15

the kind of things you can do now in

16:16

your lab which you couldn't do?

16:18

>> Well, I I mentioned for example you

16:20

could predict structures. Uh another

16:22

thing uh that you could use it for is

16:25

for looking for patterns in genes. For

16:27

example, one obvious thing is if you

16:30

sequenced lots of centinarians,

16:33

you could then ask AI to look at the

16:36

genomes and ask does any pattern emerge

16:40

here? You know that makes sense. For

16:42

example,

16:43

>> Deosabis who won um the Nobel Prize for

16:47

AFold he uh predicts that within 10 to

16:50

15 years there won't be any illnesses

16:53

left.

16:54

>> Any what?

16:55

>> That there won't be any illnesses left.

16:57

>> Yes, I know De I I actually I actually

17:00

know Deis quite well and in fact he

17:04

asked me to be on the advisory board of

17:06

one of his companies, Isomorphic Labs

17:08

and I I think he's a he's a brilliant

17:10

guy. However, I would say on this in

17:13

this case maybe he's being a bit

17:16

overoptimistic and and the reason I say

17:18

that is not because AI won't give us

17:22

clues about you know potential drugs or

17:26

even causes for example uh of diseases.

17:30

But I think going from there to having

17:32

treatments is a complicated process and

17:36

it doesn't happen in the digital world.

17:38

It happens in real people. You have to

17:40

have real medicines, real, you know,

17:43

which you make. So all of that stuff is

17:44

in the analog world and I think that is

17:49

going to take longer.

17:50

>> Do the tech people just think that uh

17:54

life is a software that can be hacked.

17:56

>> Yes, I think I think they have that bias

17:59

whether it's conscious or not. uh they

18:02

do have the bias of looking at the

18:04

entire world as if it's a software

18:07

problem

18:08

>> and the and the world is not digital the

18:10

world is analog and uh I think they

18:14

simply don't

18:16

want to want to confront that

18:19

>> why is there suddenly so much money

18:21

going into longevity research like tens

18:23

and tens of billions

18:24

>> I think there are two reasons one is the

18:26

one you pointed out about for example

18:28

about Japan which is true of all

18:30

societies

18:31

All societies are getting older and

18:34

governments and you know health agencies

18:37

are extremely worried. How do we deal

18:40

with societies where huge fraction of

18:42

the population is quite old and there's

18:45

a smaller and smaller fraction of the

18:48

population that's of working age that

18:49

can support them. Okay. So the one

18:53

solution is to try to put money into

18:55

aging research and this is the the goal

18:59

of this is not what you described

19:01

earlier of living for a very long time

19:04

but rather to make your life health as

19:06

healthy as possible but not necessarily

19:09

extending life but more increasing

19:11

health span rather than lifespan. Okay,

19:14

the fraction of life you're healthy.

19:16

That's one reason and that's a very

19:19

widespread reason everybody will sign up

19:22

to it. Okay, but the other reason is

19:26

that there is a group of people who just

19:30

have these grandiose visions. Okay, and

19:33

it's all based on the fact that they

19:34

made billions of dollars in their 20s

19:38

before they were mature. and they simply

19:41

think that everything is just going to

19:43

go their way. And these people don't

19:45

want to die. Okay? I mean,

19:47

>> why why don't they want to die?

19:49

>> Well, they love their lives. They like

19:51

the feeling of control. Uh they think,

19:53

"Oh, we solved the problem of of uh

19:56

payment transactions. So, we should be

19:58

able to solve death."

19:59

>> Why are they all men? I I do think that,

20:01

you know, they're all middle-aged men,

20:03

often married to younger women, by the

20:05

way, which is a strong incentive to want

20:07

to live [laughter] longer, but but I

20:11

should say, um, maybe it's some male

20:14

thing, you know, of wanting control and

20:17

so on. You're right, you know, and and I

20:19

do point out in the book that they're

20:20

mostly middle-aged men.

20:22

>> Tell me tell me a bit more about these

20:23

men. What do they have in what more do

20:24

they have in common?

20:25

>> They they like control. They like power.

20:30

uh they like uh obviously they like

20:33

wealth uh and so they're used to having

20:36

everything their their way. You know if

20:38

they want to buy an island they can buy

20:40

an island. If they want to buy off a

20:42

government sure they can fund some

20:45

politicians campaigns and then you know

20:47

give them uh money and then you know

20:49

suddenly the regulations disappear.

20:52

Okay. So I excuse me for being a bit

20:54

cynical but you can see this in

20:56

operation in today in the US right so um

21:01

I think I think they're used to that

21:05

kind of power and they also have these

21:07

grandio visions you know they feel like

21:10

we're the only intelligent species in

21:12

the universe or maybe and therefore we

21:14

need to populate the universe and they

21:18

there's a there's a fantastic book by

21:20

Adam Becker called uh more everything

21:24

forever and it's about these people who

21:27

just want more of everything and they

21:29

want to conquer space, galaxies, etc.

21:33

But I don't know if they really mean it

21:36

or if they're saying that so that it

21:39

sounds like a noble cause. Okay. And the

21:42

real reason is they simply want more

21:44

power and they don't want to die.

21:46

>> Now, one of these um uh Bezos backed

21:49

ventures is called Altos Labs, right? uh

21:52

$5 billion, a whole bunch of Nobel

21:55

winners.

21:56

>> I should say that the one of the driving

21:57

forces behind it was actually Yuri

22:00

Milner, who is another tech billionaire.

22:02

>> Yeah.

22:03

>> Yeah. Yeah. What are they betting on?

22:05

>> I I think they Well, you know,

22:08

officially their stance is that they

22:11

don't they're not interested in

22:12

extending life, but they want to extend

22:15

health. And in fact, Rick Clausner,

22:18

[clears throat] I was at the opening of

22:19

the Altos Lunch in Cambridge, and Rick

22:22

Clausner, who's, you know, their chief

22:25

scientist, said, um, look, our goal is

22:30

not for people to live forever. Our goal

22:33

is for everybody to die young after a

22:36

long time.

22:38

Okay? So, my my immediate reaction was,

22:41

if somebody is young, why would they

22:43

suddenly die, you know? I mean, this is

22:46

a a little bit of a paradox. You're

22:48

saying, "I'm going to keep everybody

22:49

healthy, and then suddenly they're going

22:51

to drop dead." Doesn't seem likely to

22:53

me. I think what you'll end up doing is

22:56

postpone that, you know, slow decay and

23:00

decline uh to a later stage in life. Uh

23:04

but anyway, uh that that's a a point of

23:07

that's debatable, but that's their

23:10

stated goal. M

23:11

>> but I have a feeling the people who are

23:13

funding it

23:15

are interested in two things. One is

23:17

they think there's a lot of money in

23:18

aging and so you know if you hire the

23:21

best scientists you which they did some

23:25

of the top scientists in the field uh

23:27

were went to Altos because of the

23:30

resources and the salary offered was far

23:32

better than anything you could get in

23:35

academia and and so uh they're their bet

23:39

is if we hire some top scientists they

23:42

will come up with useful stuff that then

23:44

we can monetize eyes in the longevity uh

23:49

business. And so that's a a clear, you

23:53

know, standard,

23:55

you know, investment strategy. But the

23:58

other strategy is deep down they think,

23:59

well, maybe these guys will crack the

24:01

problem and, you know, maybe we'll end

24:04

up uh living not forever, but maybe a

24:08

much longer time.

24:09

>> We have another got a [clears throat]

24:11

few other players who tried to crack it.

24:12

Kico, New Liit, Brian Armstrong, Brian

24:16

Johnson.

24:18

What are your reflections?

24:19

>> I I I mean, I do know of Brian Johnson,

24:22

who's another tech billionaire who

24:23

spends $2 million a year uh apparently

24:27

on uh his own longevity. He monitors his

24:31

aging. He does all sorts of treatments

24:34

and so on. And you know, he seems a

24:37

pleasant enough guy from watching his

24:39

interviews, you know, and I I think it's

24:41

fine if he does that. And uh he looks

24:43

pretty young for a guy in his late 40s.

24:46

Uh but my son is almost 50 and he looks

24:48

just as young without any of those

24:51

longevity treatments. So, [laughter] so

24:54

I, you know, the trouble of Brian

24:56

Johnson is no control experiment. is

24:57

it's one guy who's mixing up all sorts

25:00

of different things and then how do you

25:03

even judge whether something is working

25:05

or not you know in one person when you

25:07

mix everything up?

25:08

>> Let's move um tax. So stem cells kind of

25:11

deserve their own uh chapter here. Um

25:14

you say in your book that an 80year-old

25:16

has

25:18

the 200s

25:20

uh amount of stem cells compared to a

25:22

newborn.

25:24

Um

25:26

now what are the genuine breakthroughs

25:29

in this area?

25:31

>> Well the the the big breakthrough in

25:33

stem cell research will come from

25:37

reprogramming.

25:38

Okay. So if they can

25:42

implement reprogramming safely in humans

25:46

and and you know demonstrate first of

25:48

all they need to do a lot more research

25:50

on animals before

25:52

>> it has worked in mice right

25:53

>> it has worked in mice but remember it's

25:56

very limited experiment and even in mice

25:59

the reprogramming is highly

26:02

heterogeneous that is even in the same

26:04

organ there clusters of cells that get

26:06

reprogrammed other cells don't get

26:08

reprogrammed Okay. Uh there's one

26:11

interesting experiment that's being done

26:14

in Boston which is about uh trying to

26:18

restore

26:19

um you know regeneration of tissue

26:22

trying to regenerate eye tissue by

26:25

injecting these factors directly into

26:28

the eye. [snorts] And uh maybe this can

26:31

restore damaged or aging tissue like you

26:35

know many diseases are in old age cause

26:39

retinal degeneration which can lead to

26:41

blindness. So uh and that's actually

26:44

been approved for clinical trials. But

26:47

again you know many things that work in

26:50

mice fail in clinical trials. I mean

26:54

that's almost the norm. And so you you

26:57

have to you have to simply wait and see

27:00

what happens.

27:00

>> So hundreds of clinics already sell stem

27:03

cell injections.

27:04

>> Oh well

27:07

I think you know people for example when

27:09

scientists found out that you know if

27:11

you connected an animal old and young

27:14

rat and exchanged their blood supply the

27:18

old animal seemed to benefit from the

27:20

blood of the young animal. And

27:22

immediately there were companies that

27:24

were starting to sell young blood, okay,

27:26

from to, you know, from they would get

27:29

blood from young donors and sell them at

27:31

a huge markup to rich uh old men.

27:34

>> Do you think uh uh there is something to

27:36

it or is it just

27:37

>> No, I I I I'm highly skeptical.

27:40

>> Okay. Another area is uh

27:42

cryopreservation. So basically you

27:44

freeze yourself and hopefully you wake

27:46

up later. Yeah, this this is currently I

27:50

would say in the realm of science

27:51

fiction. Uh it's not because

27:53

cryopreservation itself has no basis.

27:57

For example, we can freeze eggs. We can

28:00

freeze even embryos. We can certainly

28:02

freeze, you know, lots of even small

28:04

larve uh of of worms and so on. So, so

28:08

there are many things we can freeze and

28:11

the the method of freezing depends on

28:15

cooling them to very low temperature

28:17

like liquid nitrogen temperature without

28:19

the water freezing into ice. Okay?

28:22

Because if it freezes into ice, ice is

28:25

expands compared to water. So, it

28:27

destroys all the tissue around it.

28:29

That's why you know if you freeze your

28:31

strawberries in your freezer and you

28:33

thaw them again, they don't look like

28:34

fresh strawberries. Okay? So um the the

28:38

the reason you can do it with small

28:41

things is because you can transfer the

28:44

heat fast away from it fast enough

28:47

before the water has a chance to form

28:49

ice crystals. So you get essentially uh

28:53

you know a a sort of native state.

28:57

Now nobody has been able to freeze even

29:01

a small animal like a mouse. Okay? And

29:04

there was some report about a mouse

29:05

brain being frozen. Then when I looked

29:08

at it, it's not a whole not even a whole

29:10

mouse brain. It's only a a section of a

29:12

mouse brain. A thin section of a mouse

29:14

brain they've been able to freeze. Okay?

29:17

So I would say to these people, when you

29:20

can freeze a mouse and thaw it so that

29:23

it can run around again, uh then come

29:25

and talk to me. I'll be interested.

29:27

Until then, it's just, you know, I I I

29:30

think of it as nonsense. In the

29:32

meantime, if we gave you $3 billion to

29:36

conduct research into whatever you

29:38

wanted, where would you where would you

29:40

have put that money? What's the most

29:42

promising part

29:43

>> in for you mean for aging research?

29:45

>> Yeah.

29:46

>> Okay. I would put it into three or four

29:48

areas. One is we know that caloric

29:51

restriction

29:53

uh does help

29:55

>> with aging. Okay. And and it's been this

29:58

has been true in many species. It has

30:00

some consequences which are not always

30:02

good but maybe you can separate those.

30:05

So I would put money into caloric

30:08

restriction pathways. That to me is the

30:11

most promising short-term goal. Okay.

30:15

Then you know we talked about old and

30:17

young blood. Well one possibility is to

30:20

try to ask what is in old blood and

30:22

what's in young blood. what are the

30:24

differences and what how do they promote

30:27

aging or prevent aging you know so uh so

30:31

that's another area I I talked about

30:34

cells that sense damage and go into into

30:37

this state called scinessence and that's

30:40

a natural process that's very useful uh

30:43

throughout our lives but as we get older

30:46

the the number of scinsesscent cells

30:49

increases too much beyond our body's

30:53

ability ability to clear them. And so

30:56

there are efforts to target scinesscent

30:58

cells for destruction. Again, it's a

31:01

question of being able to do it in the

31:03

right amount and you know and and not

31:06

damage all our other cells. Uh so that's

31:09

another promising area. And then the

31:11

fourth is the part that we talked about

31:13

which is cellular reprogramming. And I

31:16

think that is perhaps one of the more

31:19

exciting long-term goals. and and I

31:22

think you know that's another area where

31:26

uh you could you could you know do a lot

31:28

of useful research

31:30

>> now in the meantime um we just want some

31:33

more healthy years and so uh where do

31:37

where do we start

31:39

>> well you know caloric restriction

31:41

pathways suggest an obvious answer one

31:44

is

31:44

>> so this is basically just being hungry

31:47

>> no I don't think you need to be hungry I

31:49

I you're right that People on a truly

31:51

caloricrestricted diet, they're hungry

31:54

all the time.

31:55

>> Which is why I don't do it.

31:56

>> No. And nor do I. Okay. But you can eat

31:59

moderately and you can eat, you can try

32:03

to not be obese. You can control your

32:05

weight. By the way, GLP1 drugs have now

32:09

shown all kinds of effects, not just for

32:11

preventing diabetes or for extreme

32:13

obesity.

32:14

>> And so they could be investigated

32:16

further as well. And they

32:18

>> do you think they'll extend do you think

32:19

they'll extend lifetime?

32:20

>> They they might uh I don't know about

32:23

extending life but they might make it

32:25

old age healthier.

32:27

>> Uh but but they have consequences. For

32:29

example, you have muscle loss, you have

32:31

other side effects. So people need to

32:34

figure out how to use them safely. You

32:37

know, if you're going to try to give it

32:38

to healthy people, you have to try to

32:40

make it uh safer. But anyway, uh you so

32:44

I would say caloric restriction suggests

32:46

an obvious answer which is you know

32:49

don't overeat. Why does it work?

32:51

>> It works because it turns on pathways

32:56

that are involved in recycling

33:00

uh you know defective uh molecules and

33:05

defective organels uh and generally

33:08

speak and affects your protein

33:10

synthesis. So you don't make you know

33:12

misfolded proteins. So there there are

33:15

lots of thing there are lots of things

33:17

it affects in our metabolism

33:20

uh that benefit us as we age. The the

33:23

other thing I I I should mention is

33:25

sleep.

33:26

>> Yeah. because a lot of recycling and

33:28

repair happens in our sleep cycle and

33:32

people underestimate the importance of

33:34

sleep and uh that's another uh you know

33:38

very important uh aspect and of course

33:41

the third one is exercise and exercise

33:44

you know we talked about rejuvenation

33:46

and regeneration of tissues and so on

33:48

and exercise actually stimulates that

33:51

>> let's just sleep first how much do you

33:52

sleep

33:53

>> I try to get about eight hours of sleep

33:55

a day.

33:56

>> And you know, if I get less than 7

33:59

hours, I don't function very well.

34:01

>> There is this saying uh when you're

34:03

young, you sneak out of your bedroom to

34:05

go to parties, and when you get older,

34:07

you sneak out of the parties to get back

34:08

to bed. Why

34:10

>> I unfortunately [laughter] I was I was I

34:13

was a sleepolic, if you like, even when

34:16

I was young, you know. So maybe

34:18

>> why why do we appre appreciate sleep

34:20

more when we get older?

34:21

>> I I don't know. Maybe maybe, you know,

34:24

we're just not as energetic and not as

34:27

you know, we don't have the same stamina

34:30

as we did when we were when we were

34:32

young. But but as I pointed out, you

34:34

know, uh not only I but even my son and

34:38

and I I believe also my grandson, uh you

34:42

know, we all like our sleep. You know,

34:45

I'm not sure we're all night party

34:46

animals.

34:47

>> No, sleep is beautiful. What about

34:49

exercise? How much do you exercise? I

34:51

try to ex you know firstly I I ride my

34:54

bicycle about uh a few kilometers each

34:57

way uh to work every day but apart from

35:00

that I go to the gym and I do a

35:03

combination of weight training and uh

35:07

cardio uh I don't my knee is not great I

35:10

used to be a runner but now I uh mostly

35:13

do a an elliptical cross trainer uh

35:17

which as somebody from Norway you'll

35:18

you'll appreciate it sort of mimics

35:20

mimics crosscountry skiing, you know,

35:22

>> much better for much better for the

35:24

joints.

35:24

>> Yeah.

35:25

>> Uh but talking about Norway, what about

35:27

ice bars and cold plunges and zonas?

35:30

>> You know, the trouble with all of these

35:32

things is they come from one or two

35:35

observations which may or may not be

35:37

even validated

35:40

and there's no control experiment. Okay,

35:43

I would be very very skeptical uh of

35:47

those sorts of uh treatments. I I doubt

35:49

that they do much to be honest.

35:51

>> Well, hey, they do a lot for me. I did

35:53

both both an ice bath and um and sauna

35:56

this morning and it makes me feel uh

35:58

>> Oh, if it makes Okay, so let me let me

36:01

address that. Anything that makes you

36:03

feel good is probably okay, probably

36:05

good for you at some at some level

36:08

because a lot of it a lot of aging is

36:10

related to stress. you know there's I

36:13

I'm sure people who are happy probably

36:17

uh you know have less stress and less

36:20

you know damage to their systems and so

36:22

on. I mean up to a point you know if you

36:25

like drinking I wouldn't say you know go

36:27

go out and get drunk every day. I I'm

36:29

not sure that's a good idea but but if

36:31

you you know if a cold plunge in a sauna

36:33

makes you feel good that's great you

36:35

know you should do it.

36:37

>> Let's move to to the ethics. Um, now if

36:40

we could double the the lifespan

36:43

tomorrow, do we do we actually want to?

36:45

>> I think it would cause huge changes in

36:48

society, not all of which will be good

36:50

for society. Uh, for one thing, you

36:54

know, changes in society uh require

36:58

turnovers of generations. Old

37:00

generations don't, you know, older

37:02

generations don't voluntarily change

37:04

society. Often change is driven by the

37:07

young. And so um so you you you might

37:11

end up with a very stagnant society. The

37:14

other is that as old people as people

37:17

get older they accumulate wealth,

37:19

influence and power. And of course these

37:21

three things go together. And so you

37:24

will have the same group of people

37:26

controlling society without turnover.

37:29

And that is not a recipe for for for

37:34

good society. you know because people

37:36

who are entrenched in power have no

37:38

reason to change and and you know may

37:41

not act in the best interests of

37:43

everybody and I should point out that if

37:47

you look at great discoveries in science

37:49

and mathematics they're almost all done

37:51

by young people okay and you know people

37:55

in their 40s or younger and um you know

37:59

yes there are a few exceptions here and

38:01

there but even those people often did

38:04

great work when they were young. It's

38:06

just that they've uh continued. And

38:09

interestingly, you know, Ishiguro, the

38:12

famous uh novelist, pointed out that

38:15

even in literature, this is true that

38:18

you know, generally speaking, people who

38:21

are younger uh you know, t people tend

38:24

to write their greatest works when

38:26

they're younger. And one example he gave

38:29

was Toltoy. You know, Warren Peace was

38:32

written when he was in his 30s. you

38:33

know, that's supposed to be this big,

38:35

profound novel and yet was not written

38:38

by an old man. So, you know, I I I

38:42

wonder what it'll do to,

38:46

you know, society generally if we have

38:49

everybody living for a very long time

38:50

and especially combined with drop in

38:53

fertility rates where uh you're not

38:56

you're not replacing them with young.

38:57

>> During COVID, we treated the old people

38:59

first. Was that wrong? Well, it wasn't

39:01

wrong because they were by far at the

39:04

greatest risk. So, uh, you know, the the

39:08

likelihood of dying of COVID doubled

39:11

every eight years of life, you know,

39:13

roughly speaking. And so, an 80-year-old

39:17

was many many times more likely to die

39:19

than say a 40year-old or a 30-year-old.

39:22

So I I I think it it if you wanted to

39:25

save lives, you know, that was not not

39:28

not a bad thing to do.

39:30

>> The rich people already live uh you know

39:33

a decade and even some places more than

39:36

that longer than the poor.

39:37

>> Yeah. 15 years in the US and about 10

39:40

years in the UK.

39:41

>> So what reflections do you have around

39:45

that or or extending it further for rich

39:48

people? I I I think it it it creates a

39:50

serious problem especially if let's say

39:53

you have advances in in aging research

39:57

and you have treatments that are highly

40:00

sophisticated and expensive. Uh then you

40:04

can imagine a two-tier society where

40:07

rich people can get all of the latest

40:09

and fancy treatments and will live even

40:12

longer than they do now. And so the

40:15

disparity in power because as I pointed

40:18

out people accumulate power and wealth

40:21

will be even more and moreover their

40:25

children will also be at an advantage.

40:28

So you you may end up creating a

40:30

multi-tiered society, you know, or at

40:32

least a two-tiered society where, you

40:35

know, there's one rule for the very rich

40:38

and it's not just even wealth, but it's

40:40

even years of life and then another uh

40:44

situation for uh the rest of society and

40:47

especially for the poor.

40:49

>> Mickey, let's uh uh

40:51

talk a bit about you here at the end.

40:53

You trained you grew up in India. you

40:54

trained as a physicist and then switched

40:57

to biology. Why why is physics uh a good

41:01

place to start?

41:02

>> Well, I'm not sure

41:03

>> or or is it?

41:04

>> I you know, I think it uh well, it

41:06

didn't hurt me, but I'm not sure it's

41:08

necessary. Uh except that one thing

41:11

physics does is it trains you very well

41:14

in mathematics and in quantitative

41:16

thinking. Uh and that can be useful. But

41:20

I can tell you physicists who be try to

41:23

become biologists without

41:26

really becoming biologists but staying

41:28

as physicists they don't tend to do very

41:30

well. Okay. Uh the best physicists

41:34

best people who have gone from physics

41:36

to biology are people who stopped being

41:39

physicists and really learned how to

41:41

think like biologists because biology

41:44

involves a different way of thinking.

41:47

it's a different scale and different

41:48

kinds of problems. uh for example

41:51

physicists almost there's no such I

41:54

never heard of a control experiment in

41:56

physics because the experiment itself is

41:58

designed so that you know it it's

42:02

designed to be extremely simple and

42:04

answer a particular question and in

42:07

biology the system is so messy that you

42:10

you have to do control experiments you

42:12

know and and so that's one one concrete

42:17

example but there are many other ways

42:18

and for example everything in biology

42:21

requires thinking in evolutionary terms

42:24

and that's doesn't come quite naturally.

42:27

Physics is a generally a highly

42:29

reductionist

42:30

uh you know science although now you

42:33

know many physicists are going into

42:35

complex systems and so on but but

42:38

traditionally it has been a highly

42:39

reductionist science. So I think there

42:42

are cultural differences and you have to

42:44

bridge those differences if you want to

42:46

succeed in making that transition. Do

42:49

you think with the advent of AI that

42:52

having a broad curriculum uh is more or

42:55

less an advantage?

42:58

>> My view is having a broad curriculum is

43:00

always an advantage because it really

43:02

gives you an understanding of the

43:05

different areas of science, different

43:07

ways of thinking and so on. And uh one

43:11

worry I have is that we are going to uh

43:14

simply delegate everything to AI which

43:18

would be a recipe for making humanity

43:21

stupider. Uh I think and more ignorant

43:24

and I think what we really should be

43:27

doing is is leveraging AI so that it's a

43:31

another powerful tool in our armory. I

43:35

mean computation was a tool uh you know

43:38

all sorts of modern robotics is a tool

43:42

uh you know we have all sorts of tools

43:44

chemical tools you know biological tools

43:47

and and I I think we should think of AI

43:49

as another uh powerful tool.

43:52

>> What did you learn as a president at the

43:54

Royal Society?

43:55

>> Well I learned a lot of things. One is

43:57

how to convey science to the general

43:59

public. how to convey the importance of

44:02

science to not only the public but to

44:05

the government. And you know I became

44:08

president at a very particular moment in

44:11

British history when it had voted to

44:13

leave the EU and then towards the end of

44:16

my term we had the global pandemic. uh

44:19

and so you know I had to deal with uh

44:22

really quite serious issues as president

44:25

and I think uh the fact that I was an

44:28

American uh citizen who had come to

44:31

Britain and I didn't have a I didn't

44:34

grow up here and didn't have a network

44:36

of people here I I thought that might

44:38

have been a disadvantage but on the

44:40

other hand it made me viewed as somebody

44:43

with no axe to grind you know somebody

44:45

who you know was perhaps an out

44:48

something of an outsider but therefore

44:50

objective. Uh so it it may have helped

44:53

me as much as it hurt me.

44:55

>> Why is uh music so important in your

44:57

life? And uh your son is a professional

45:00

chist and a music professor as well. So

45:03

he

45:04

>> Yes, you you you've clear you've clearly

45:06

done some homework on me [laughter]

45:08

anyway. No, we I've always enjoyed music

45:11

and I think you know music is one of

45:13

those universal uh things. I don't quite

45:16

understand.

45:18

You know, Steven Pinker in his book sort

45:21

of dismissed music. You know, he thought

45:23

it was a just an artifact of no

45:26

evolutionary significance. I think he's

45:27

wrong. And I think music is a a

45:31

demonstration of very very high

45:34

cognitive ability. And so you can see

45:37

how evolutionarily it's it's important.

45:41

uh but more than that I think music

45:44

really we have evolved to so that music

45:47

has some deep uh you know emotional and

45:51

physiological triggers in us and you you

45:54

know you can easily change a person's

45:56

mood with music and affect their

45:58

physiology so so I think there's

46:01

something profound about music

46:03

>> do you think it makes you live longer

46:06

>> I don't know but it can certainly make

46:08

your life the life you have far more

46:10

pleasurable. So,

46:12

>> do you think gratitude makes you live

46:14

longer?

46:15

>> I don't know if I don't know if any of

46:17

these things particularly make you live

46:19

longer. I I think, you know, some things

46:23

you you do because they're worth doing,

46:25

not just because everything everything

46:27

is not about living longer. It's about

46:30

enjoying life while you have it, right?

46:33

>> Are you afraid of dying? I think we all

46:36

are at at some level but I think you

46:38

know I mean my father and my

46:40

brother-in-law both died in the last

46:42

year and a half and my father was almost

46:45

99 and I would say you know he faced you

46:48

know when he he was told look now you

46:51

only have a few days left uh you know he

46:54

was a little bit sad that it was going

46:56

to be over but I think he took it

46:58

reasonably well and and my

47:00

brother-in-law you know he suffered from

47:04

sudden diagnosis of pancreatic cancer

47:06

but really you know was very

47:10

measured and you know sort of rational

47:13

about it. So I so I hope if you know not

47:17

if but when my time comes that I'll face

47:19

it with the same kind of you know

47:22

equinimity or rationality that that I

47:25

saw in these people.

47:26

>> You had a Freudian slip there and said

47:29

you know if you die do you do you

47:31

believe in afterlife? I no I I I I don't

47:35

but uh No, I meant I meant when when I

47:37

died. I I don't know if it was a

47:39

Freudian slip. It's just it's been uh

47:42

tremendous to uh speak with you. What a

47:45

what an incredible experience. A big

47:47

thank you for taking the time.

47:48

>> Thank you very much for having me.

Interactive Summary

The video features Nicolai Tangen, CEO of the Norwegian Sovereign Wealth Fund, interviewing Sir Venki Ramakrishnan, a Nobel laureate in chemistry and author of 'Why We Die.' They discuss the complexities of aging, the current hype surrounding longevity research, and the distinction between extending lifespan versus increasing healthspan. Ramakrishnan highlights the biological reality of aging, challenges the efficacy of extreme longevity interventions popular among tech billionaires, and emphasizes that aging is a complex, multifactorial process. The conversation also touches on the ethics of life extension, the role of AI in scientific discovery, and the importance of healthy habits like sleep and exercise.

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