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David Sinclair: Extending the Human Lifespan Beyond 100 Years

第189期2021-06-07English

嘉宾:David Sinclair

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§01Transcript · 00:00–09:05

00:00The following is a conversation with David Sinclair.

00:02He's a professor in the Department of Genetics at Harvard

00:06and co-director of the Paul F. Glenn Center

00:09for the Biology of Aging at Harvard Medical School.

00:12He's the author of the book "Lifespan"

00:14and co-founder of several biotech companies.

00:16He works on turning age into an engineering problem

00:20and solving it, driven by a vision of a world

00:23where billions of people can live much longer

00:26and much healthier lives.

00:28Quick mention of our sponsors,

00:30Onnit, Clear, National Instruments,

00:33and I, SimpliSafe and Linode.

00:36Check them out in the description to support this podcast.

00:40As a side note, let me say that longevity research

00:42challenges us to think how science and engineering

00:45will change society.

00:47Imagine if we can live 100,000 years,

00:50even under controlled conditions,

00:51like in a spaceship, say,

00:53then suddenly a trip to Alpha Centauri

00:55that is 4.37 light years away

00:58takes a single human lifespan.

01:01And on the psychological, maybe even philosophical level,

01:05as the horizons of death drifts farther into the distance,

01:08how will our search for meaning change?

01:11Does meaning require death

01:13or does it merely require struggle?

01:15Reprogramming our biology will require us

01:18to delve deeper into understanding the human mind

01:21and the robot mind.

01:23Both of these efforts are as exciting of a journey

01:26as I could imagine.

01:28This is the Lex Friedman Podcast

01:30and here is my conversation with David Sinclair.

01:33I usually feel like the same person when I was 12.

01:38Like when I, right now, as I think about myself,

01:42I feel like exactly the same person

01:45that I was when I was 12.

01:46And yet, I am getting older, both body and mind,

01:52and still feel like time hasn't passed at all.

01:54Do you feel this tension in yourself

01:56that you're the same person and yet you're aging?

02:01- Yeah, I have this tension that I'm still a kid.

02:04But that helps in my career.

02:05Scientists need to have a wonder about the world

02:07and you don't wanna grow up.

02:0912-year-olds, and even younger,

02:11I would say six, seven-year-olds,

02:13I've still got that boy in me and I can look at things.

02:16It's a gift, I think, that I can see things

02:18for the first time if I choose to

02:20and then explain them as I would to a six-year-old

02:23'cause I am that mentally.

02:24But on the other hand, I'm getting older.

02:26I run a lab of 20 people at Harvard.

02:29I've got a book, I've got science to do, companies to run.

02:33And so I have to, on most days,

02:35just pretend to be a grown-up and be mature,

02:38but I definitely don't feel that way.

02:40- There's something I really appreciated

02:43in the opening of your book.

02:44You talked about your grandmother.

02:46And on this kind of theme, on this kind of topic,

02:50she, first of all, had a big influence on you.

02:53My grandmother had a big influence on me.

02:56And you also mentioned this poem

02:59by the author of "Winnie the Pooh," Alan Alexander Milne.

03:03Maybe I can read it real quick 'cause I...

03:06(laughs)

03:08On the topic of being children,

03:10when I was one, I had just begun.

03:12When I was two, I was nearly new.

03:14When I was three, I was hardly me.

03:17When I was four, I was not much more.

03:19When I was five, I was just alive, but now I am six.

03:24I am as clever, as clever, so I think I'll be six,

03:27now, forever, and ever.

03:29So this idea of being six and staying six forever,

03:36being youthful, being curious, being childlike,

03:41this and other things, what influence has your grandmother

03:46had on your thinking about life, about death, about love?

03:51- Yeah, I was getting misty-eyed as you read that

03:54because that poem was read to me very often,

03:58if not every day, by my grandmother

03:59who partially raised me.

04:01And she was as much a bohemian as an artist, philosopher.

04:06And she's one of those people that wouldn't talk

04:08about the little things.

04:09She said, "I hate small talk.

04:11"Don't talk to me about politics or the weather.

04:13"Yeah, talk to me about human beings and culture."

04:16So I was raised on that, and this poem was one

04:19that she read to me often because she knew

04:22that the mind of a child is precious, it's honest,

04:27it's pure, and she grew up during the Second World War

04:31and in Hungary, in Budapest, witnessed the worst of humanity.

04:35She was trying to save a whole group of Jewish friends

04:40in her apartment, saw what happened after the World War,

04:43which was there was, the Russians were in control

04:47and locals weren't necessarily treated well

04:50if they were rebellious, which she was.

04:52And then there was the revolution in '56,

04:54which she was part of and had to escape the country.

04:57So she saw what can happen when humans do their worst.

05:01And her words to me, expressed in part through that poem,

05:05was, "David, always stay young and innocent

05:09"and have wonder about the world,

05:11"and then do your best to make humanity the best it can be."

05:15And that's who I am, that's what I live for,

05:18that's what I get up in the morning to do,

05:19is to leave the world a better place

05:21and show to whoever's watching us, whether it's aliens

05:24or some future human historian, that we can do better

05:27than we did in the 20th century.

05:29- You know, we mentioned offline this idea

05:33of bringing people back to life

05:34through artificial intelligence.

05:38Sort of, I don't know if you've seen videos

05:40of basically animating people back to life.

05:45Meaning, whether it's, for me personally,

05:47I've been working on, specifically about Albert Einstein,

05:51but also Alan Turing, Isaac Newton, and Richard Feynman.

05:55And it's an opportunity to bring people

05:59that meant a lot to others in the world.

06:02And animate them, and be able to have

06:05a conversation with them.

06:06At first, to try to visually,

06:10visually explore the full richness of character

06:17that they had as they struggled

06:18with the ideas of the modern age.

06:20Sort of, it's less about bringing back their mind,

06:24and more bringing back the visual quirks

06:27that made them who they are.

06:28And then maybe in the future,

06:30it's using the textual, the visual,

06:33the video, the audio data to actually compress

06:38down the person for who they are,

06:41and be able to generate text.

06:42There's a few companies, there's Replica,

06:44which is a chat engine that was born

06:46out of the idea of bringing,

06:48the founder lost her friend to,

06:53he got ran over by a car.

06:55And the initial reason she founded the company

06:59was trying to just have a conversation with her friend.

07:02She trained a machine learning,

07:05natural language system on the text

07:08that they exchanged with each other,

07:09and she had a conversation with him,

07:11sort of after he was gone.

07:13And it's very, the conversation was very trivial.

07:16It was obvious that it's, you know,

07:19a AI agent, but it gave her solace.

07:23It made her actually feel really good.

07:26And that's the way I wonder if it's possible

07:27to bring back people that are,

07:30that mean something to us personally,

07:32not just Einstein, but people that we've lost,

07:36and in that way achieve a kind of small,

07:40artificial immortality.

07:42I don't know if you think about this kind of stuff.

07:44- Well, I definitely think about a lot of things.

07:46That one's a really good one.

07:47There's a great Black Mirror episode

07:49about the wife who brings back the boyfriend or husband.

07:52I think one of the challenges

07:54with bringing back Richard Feynman

07:55would be to capture his sense of humor,

07:58but that would be awesome.

07:59But yeah, bringing back loved ones would be great,

08:00especially if it's, you know,

08:04they're young and they die early.

08:07Though it may hold you back from moving on.

08:09That's another thing that could happen as a negative.

08:11But I think that's great,

08:12and I also think that it's gonna be possible,

08:14especially when we're recording, some of us,

08:17every aspect of our lives,

08:18whether it's our face or things we see.

08:22Eventually one day, everything we see can be recorded.

08:26And then you can build somebody's experience

08:28and thoughts, speech,

08:31and you will have replicas of everybody,

08:34at least digitally and physically,

08:37you could do that too one day.

08:38But that's a good idea,

08:40especially 'cause there are people that I'd like to meet,

08:42and I think it's easier than building a time machine.

08:44One person I'd love to meet is Benjamin Franklin.

08:47- Really?

08:48- Well, I wouldn't go back in time, I would,

08:51but I'd prefer to bring him into the future and say,

08:54"Can you believe we have this thinking machine

08:57in our pockets now?"

08:58And just see the look on his face

09:00as to where humanity has come.

09:01'Cause I think of him as a modern guy

09:03that just was before his time.

09:05- Yeah, so you're thinking Benjamin Franklin is a scientist,

§02Transcript · 09:08–17:49

09:08not Benjamin Franklin, the political thing.

09:10'Cause he'd be very upset with Congress right now.

09:13- Right.

09:13- So maybe talk to him about science and technology,

09:16not politics.

09:18Or maybe just don't get him on Twitter,

09:19because he'll be very upset with human civilization.

09:22You know, I wonder what their personalities are like.

09:25Isaac Newton, it does seem complicated

09:28to figure out what their personality is like.

09:30Even Friedrich Nietzsche, who I also thought about.

09:33Feynman is, we just have enough video

09:36where we get the full kind of,

09:39I mean, it shows you how important it is

09:42to get not the official kind of book-level presentation

09:47of a human, but the authentic,

09:49the full spectrum of humanity.

09:51You mentioned collecting data about a person,

09:54collecting the whole thing, the whole of life,

09:57the ups and downs, the embarrassing stuff,

09:59the beautiful stuff,

10:00not just the things that's condensed into a book.

10:03And then with Feynman, you start to see that a little bit.

10:05Through conversations, you start to see peaks

10:07of like that genius.

10:09And then through stories about him from others.

10:12And then certainly you,

10:15the sad thing about Alan Turing, for example,

10:17is there's very little, if any, recording of him.

10:22In fact, I haven't been able to find recording.

10:24Allegedly, there's supposed to be a recording of him

10:27doing some kind of radio broadcast,

10:29but I haven't been able to find anything.

10:32And so that's truly sad.

10:34That it feels like, it makes you realize

10:36how the upside, how nice it is to collect data

10:42about a person, to capture that person.

10:45There's, that's the upside of the modern internet age,

10:48the digital age, that that information,

10:51yeah, creates a kind of immortality.

10:54And then you can choose to highlight

10:57the best parts of the person,

10:58maybe throw away the ugly parts

11:00and celebrate them even after they're gone.

11:03So that's a really interesting opportunity.

11:05You've also mentioned to me offline

11:07that you're really excited about all the different wearables

11:11and all the different ways we can collect information

11:14about our bodies, about, well, the whole thing.

11:18What's most exciting to you

11:20in terms of collecting the biological data

11:25about a human being?

11:27- Well, so I'm a biologist.

11:29I find animals and humans as machines very interesting.

11:33It's one of the reasons I didn't become an engineer

11:36or a surgeon, I wanted to understand

11:38how we actually are built.

11:40And so I think a lot about machines merging with humans.

11:45And the first of that are the bio wearables.

11:49And so I talked a lot about this,

11:50I wrote about it in "Lifespan," the book,

11:52and pictured a future where you would be monitored constantly

11:56so that you wouldn't suddenly have a heart attack,

11:59you'd know that was coming,

12:00or you wouldn't go to the doctor

12:02and they don't know if you need an antibiotic or not.

12:05Long-term, how old are you, how to fix things,

12:10what should you eat, what should you take,

12:11what should your doctor do?

12:12These devices, I predicted, would be smarter,

12:16better educated than your physician,

12:18and would augment them,

12:19and then there'd be a human that would just tick off

12:21to see if it's correct and they approve.

12:24I also was predicting in the book

12:26that we would have video conferences with our doctors

12:30and that medicines would be delivered,

12:32initially by courier, but eventually by drones

12:33and get it to you, sometimes in an emergency,

12:36and that we could even have pills

12:38that were synthesized or delivered in your kitchen,

12:41and combined, certainly.

12:43What's amazing about that is that, what are we now,

12:47two years since the book came out, even less,

12:50and that future is basically here already.

12:52COVID-19 accelerated that incredibly.

12:56So where we're at now in society is,

12:58if you want to pay for it,

12:59you can have a blood test that will detect cancer

13:0110, 20 years earlier than it would

13:03before it forms a tumor.

13:05You can, of course, do your genome very cheaply

13:07for less than $100 now.

13:09There are bio-wearables already.

13:12I wear this ring from Aura

13:14that I have a number of years of data.

13:17I've been doing blood tests for the last 12 years

13:19with a company called InsideTracker, which I consult for,

13:22and so I have all of that data as well,

13:24and there's 34 different parameters on my testosterone,

13:27my blood glucose, my inflammation,

13:30and I use all that data to, of course,

13:32I wear a watch that measures things as well.

13:34I use that data to keep my body in optimal shape.

13:39So I'm now 51, and according to those parameters,

13:42I'm at least as good as someone in their early 40s,

13:45and if I really work at it,

13:47I can get my biochemistry down to mid-30s,

13:52though I like to now eat a little dessert once in a while.

13:56So that's the future we're in right now.

13:58Anyone can do what I just said,

14:00but in the very near future, just in the next few years,

14:04you can be wearing wearables.

14:06So I'm currently wearing a little,

14:08what's called a bio sticker.

14:10This one I just put on last night.

14:14It's about an inch long, a few millimeters.

14:18- Yeah, for people just listening, it's on David's chest.

14:21It's just the, how does it attach?

14:23It's just kinda--

14:24- It sticks on. - Sticks on.

14:25- Yeah, so on one side, you have an on button that you press.

14:27The lights come on, flashes four times, it's good to go.

14:30It immediately syncs to your phone,

14:33and this one, it's called a bio button, nice name.

14:37And there's another one that I have that I haven't tried yet

14:39that does EKG on your heart.

14:41This is mainly for doctors to monitor patients

14:43that go home after a heart attack or surgery,

14:45but that's medical-grade, FDA-approved device.

14:48So there will be a day, in fact, it's already here,

14:51that doctors are using these to get patients to go home

14:55and save a week in hospital, $2,000 at least

14:59for each patient.

15:00That's massive savings for the hospital.

15:04But ultimately, what I'm excited about is a future

15:06that isn't that far off where everybody,

15:10certainly in developed countries,

15:11eventually these will cost a few cents and rechargeable.

15:14The only cost will be the software subscription

15:16that can be monitored constantly.

15:19And to give you an idea what this is measuring me

15:21at 1,000 times a second is my vibrations as I speak,

15:26my orientation, it already has told me this morning

15:29how I slept, where I slept, what side I slept on.

15:33We've got sneezing, coughing, body temperature, heart rate,

15:38heart, other parameters of the heart

15:40that would indicate heart health.

15:42These data are being used to now to predict sickness.

15:49So eventually we'll have, just in the next year or so,

15:53the ability to predict whether something,

15:55or diagnose whether something is pneumonia

15:58or just a rhinovirus that can be treated or not.

16:02This is really going to not just revolutionize medicine,

16:06but I think extend lives dramatically.

16:08'Cause if I'm gonna have a heart attack next week,

16:11and that's possible, this device should know that

16:14and I'll be in hospital before I even have it.

16:17Maybe you can talk a little bit about InsideTracker

16:19'cause I saw that there's some really cool things in there.

16:22(laughs)

16:23Like it actually, so maybe you can talk about,

16:26I guess that you're collecting blood

16:28to give it the data.

16:29So, and it has like basic recommendations

16:32on how to improve your life.

16:34So we're not just talking about diseases, right?

16:36Like anticipating having a particular disease,

16:39but it's almost like guiding your trajectory to life,

16:41how to, whether it's extend your life

16:44or just live a more fulfilling,

16:46like improve the quality of life,

16:48I suppose this is the right way to say it.

16:50What, how does InsideTracker work?

16:52What the heck is it?

16:53'Cause I saw that there was also pretty cool.

16:55- Yeah. - What is it?

16:55I guess it's something other people can use.

16:58- You can definitely use it.

16:59You can sign up, it's consumer.

17:02- It's like a company, consumer facing company?

17:04- It is, yeah. - Okay, cool.

17:06- And I also want to democratize the ability

17:09to just take a mouth swab eventually.

17:11We don't need to have a blood test necessarily,

17:13but for now it's a blood test

17:15and you'd go to a lab core request in the US.

17:18It's also available overseas.

17:19You can upload your own data for minimal cost

17:22and get the algorithms, the AI in the background

17:26to take that data, plot where you are against others

17:30in your age group, in terms of health and longevity,

17:33bio age they call it, no, inner age.

17:36But also it provides recommendations.

17:38And this isn't just a bunch of BS.

17:39It sounds like it might be to say,

17:41"Oh, go eat this or go to that restaurant and order that."

17:44But it's actually based on,

17:46they basically, this company has entered hundreds,

17:49now it would be thousands of scientific papers

§03Transcript · 17:51–26:39

17:51into their database,

17:53and hundreds of thousands of human data points.

17:55And they have tens of thousands of individuals

17:59that have been tracked over time.

18:00And anonymously, that data is used to say

18:02what works and what doesn't.

18:04If you eat that, what works?

18:05If you take that supplement, what works?

18:07And I was a co-author on a paper that showed

18:09that the recommendations for food and supplements

18:13was better than the leading drug for type two diabetes.

18:18- That's so cool.

18:19The idea that you can connect,

18:21like skipping the human having to do this work,

18:24you can connect the scientific papers,

18:27almost like meta-analysis of the science

18:30connected to the individual data.

18:32And then based on that, connect your data

18:35to whatever the proper group is

18:37within whatever the scientific paper is

18:40to make the suggestion of how that work applies to your life.

18:45And then that ultimately maps to a recommendation

18:49of what you should do with your life.

18:52Like this giant system that ultimately recommends

18:55you should drink more coffee or less.

18:58- Right, and we'll have the genome in there as well.

19:00You can upload that.

19:02And so these programs will know us way better

19:04than we do and our doctors as well.

19:07The idea of going to a doctor once a year

19:09for an annual checkup and having males

19:11get a finger up their butt and you cough,

19:14that to me is a joke.

19:16That's medieval medicine.

19:18And that's very soon going to be seen as medieval.

19:21- Yeah, to me as a computer science person,

19:25it's always upsetting to go to the doctor

19:28and just look at him and realize you know nothing about me.

19:32You're making your opinions based on,

19:37it is very valuable, years of intuition building

19:42about basic symptoms, but you're just like, it is medieval.

19:45They're very good at it.

19:47In fact, doctors in medieval times

19:49were probably damn good at working with very little.

19:53But the thing is, I'd rather prefer a doctor

19:58that doesn't really know what they're doing

20:00but has a huge amount of data to work with.

20:03- Well, you're right.

20:03And many of my good friends are doctors.

20:05I work at Harvard.

20:06So I'm not against the profession at all.

20:09But I think that they need just as much help

20:11as anyone else does.

20:13We wouldn't drive a car without a dashboard.

20:15We wouldn't think of it.

20:16So why would doctors do the same?

20:18If we could, can we step back to the big,

20:21profound, philosophical, both tragic

20:23and beautiful question about age?

20:25How and why do we age?

20:28Is it, from an engineering perspective,

20:31you said you like the biological machine.

20:33Is that a feature or a bug of the biological machine?

20:37- It is both a bug and a feature.

20:40Evolutionary speaking, we only live as long as we need to

20:44to replace ourselves efficiently.

20:47If you're a mouse, you're only gonna live

20:49two and a half years, three years.

20:50You're probably gonna die of starvation, predation,

20:52freezing in the winter.

20:54So they divert most of their resources

20:57to reproducing rapidly,

20:59but they don't put a lot of energy

21:00into preserving their soma, which is their body.

21:04Conversely, a baleen type of whale, a bowhead whale

21:07in particular, will live hundreds of years

21:09because they're at the top of the food chain

21:11and they can live as long as they want.

21:12So they breed slowly and build a body that lasts.

21:15We're somewhere in between

21:16because we've really only just come out of the savannas

21:19where we could be picked off by a cat.

21:22We were pretty wimpy going back 6 million years ago.

21:25So we actually need to evolve quicker than evolution will.

21:30And that's why we can use our oversized brains

21:33and intuition to give us what evolution

21:36not only didn't give us, but took away from us.

21:38Now we're pathetic.

21:39Look at our bodies.

21:40These arms, if any of us,

21:42even the strongest person in the world

21:43went in a cage with a chimpanzee,

21:45the chimp could knock that person's head off.

21:46No question.

21:47So we're pathetic.

21:48So we need to engineer ourselves

21:49to be healthier and longer lived.

21:51So getting to aging, we can do better.

21:55Whales do way better.

21:57We're trying to learn how whales do that.

21:59And if you ask really anybody in the field now,

22:02professor, they'll say there are eight or nine

22:06hallmarks of aging, which are really,

22:08it's a word for causes of aging.

22:11So you probably have heard of some of these.

22:13Your listeners will have loss of telomeres,

22:16the ends of the chromosomes,

22:17like the little ends of shoelaces, that kind of thing.

22:21They get too short, cells stop dividing,

22:23become senescent.

22:24They put out what are called mitogens

22:28that cause cancer and inflammatory molecules.

22:31So that's another aspect of aging, cellular senescence.

22:34Another one is loss of the energetics.

22:35So mitochondria, the battery packs, wind down.

22:38There's a whole bunch, stem cells, proteostasis.

22:43Well, these are our Achilles heels that I'm talking about

22:45that are common amongst all life forms, really.

22:48But if you want me to jump to the chasers to where,

22:51what is the upstream defining factor?

22:54If we boil it down, what do we get?

22:57So most biologists would say you can't boil it down.

22:59It's too complex.

23:01I would say you can boil it down to an equation,

23:03which is the preservation of information

23:05and loss due to entropy, i.e. noise.

23:08And that is the basis of my research.

23:12It originally came out of discoveries in yeast cells

23:14where I went to MIT in the 1990s.

23:17- You studied bread.

23:18- I kind of did.

23:20I studied the makers of bread,

23:22a little yeast called Saccharomyces cerevisiae,

23:25which at the time was one of the hottest,

23:28excuse the pun, organisms to work on.

23:30But we figured out in the lab why yeast cells get old

23:35and found genes that control that process

23:37and made them live longer,

23:38which was an amazing four years of my life.

23:42One of those genes had a name with an acronym SIR2.

23:46Now the two is irrelevant.

23:49The SIR is important.

23:51And the most important letter out of all of those three

23:53is I, which stands for information.

23:57Silent information regulator number two,

23:59when you put more copies of that gene in,

24:01just put in one more copy,

24:02the yeast cells live 30% longer

24:04and suppress the cause of aging,

24:06which was the dysregulation of information in the cell.

24:09And then, so fast forward to now,

24:11I've been looking in humans and mice,

24:14'cause they live shorter and cheaper to study,

24:17where the loss of information in our bodies

24:20is a root cause of aging.

24:22And I think it is.

24:24- Your boldness in viewing biology in this way

24:28is fascinating because that also leads to a kind of,

24:34it's almost like allows for a theory of aging,

24:39like you could boil it down to a single equation

24:43and it leads to perhaps a metric

24:45that allows you to optimize aging,

24:48sort of in the fight against entropy.

24:50To figure out which mechanisms, like you said,

24:53the silent information regulator,

24:55which mechanisms allow you to preserve information

24:58without injecting noise, without creating entropy,

25:03without creating degradation of that information.

25:06For some reason, converting biology,

25:11which I thought was mostly impossible,

25:13into an engineering problem,

25:15feels like it makes it amenable to optimization,

25:19to solving problems, to creating technology that can,

25:23whether that's genetic engineering or AI,

25:26it makes it possible to create the technology

25:30that would improve the degradation of information and aging.

25:35Is there more concrete ways you think about

25:38the kind of information you want to preserve?

25:41And also, is there good ideas about regulators

25:46of that information, about ways to prevent the distortion,

25:51the degradation of that information?

25:54- Right, so we have silent information regulator genes

25:56in our bodies, we have seven of them.

25:58SIRT1 through seven, they're called.

26:00And we found in mice,

26:02one way to slow down the loss of information

26:04is to just give more of these, to upregulate these genes.

26:08So we made a mouse that has more of this SIRT1 gene,

26:11turned it on, and that slowed down the aging of the brain

26:15and preserved their information.

26:16Now, what information am I talking about, you might ask?

26:19Well, again, you can simplify biology.

26:21There are two types of information in the cell, primarily.

26:25The one we all read about and know about

26:27is the DNA, the genome.

26:29And that's base four information, ATCG,

26:32the four chemicals that make up the various sequences

26:35of the genome, billions of letters.

26:37And that also degrades over time.

26:39But what's been fascinating is that we find

§04Transcript · 26:42–35:21

26:42that that information is pretty much intact

26:45in old animals and people.

26:47You can clone a dog, one of my friends in LA

26:49just cloned his dog three times.

26:50So this is doable, right?

26:52That means that the genome can be intact.

26:53But what's the other type of information?

26:56It's the epigenome,

26:57the regulators of the genetic information.

27:01And physically, that's really just how the DNA is wrapped up

27:04or looped out for the cell to access it and read it.

27:08So it's similar to, and excuse this analogy,

27:11but it's a good one, a compact disc or DVD.

27:15Those pits in the foil are the digital information,

27:18that's the genome.

27:19And the epigenome is the reader of that information.

27:22And in a different cell, you'd read different music,

27:25different songs, different symphonies.

27:28And that's what gets laid down when we're in the womb.

27:31And that makes a skin cell forever a skin cell

27:34and not a brain cell tomorrow.

27:36Thank God, otherwise our brains wouldn't work very well.

27:38But over time, what we see is that the brain cells

27:41start to look more like skin cells.

27:42And the kidney cells start to look more like liver cells.

27:45And they, what we call X differentiate,

27:48this is a term that we use in my lab

27:49but isn't yet widely used.

27:52But we needed a term to explain this.

27:53And that process of X differentiation,

27:55the loss of the reader of the CD or the DVD,

28:00we liken that to scratches on the DVD

28:06so that the reader cannot fully access the information.

28:09Now we can slow down the scratches, as I mentioned.

28:11We can turn on these genes.

28:13We can even put in molecules into the cell

28:15or even eat them and turn on those pathways,

28:18which my father and I have been trying to do

28:21for about a decade to slow things down.

28:24But the question that I've had is,

28:26is there a repository of information still in the body?

28:30Because anyone who knows anything

28:32about the loss of information

28:33or even has tried to copy a cassette tape

28:35or photocopy or Xerox anything

28:37knows that over time you lose that information irreparably.

28:41So I've been looking for a backup copy

28:43inspired largely by Claude Shannon's work

28:46at MIT as well in the 1940s.

28:49His mathematical theory of communication is just brilliant.

28:53And so I've been looking for what he called the observer,

28:55which is the backup copy.

28:57We today might call that the TCP/IP protocol of the internet

29:01that stores information in case it doesn't make it

29:04to your computer, it will fill in the gaps.

29:06And we've been spending about the last five years

29:09to try and find if there really is a backup copy in the body

29:12to reset the epigenome and polish those scratches away.

29:15- That's incredible.

29:16So finding the backup,

29:18so whenever there are too many scratches pile up,

29:21you can just write a new version.

29:24Like write, not a new version,

29:26but go to the backup and restore it.

29:29- Right, that's really all we're talking about.

29:31It's not that hard once you know the trick.

29:34- And for people that actually remember

29:36like DVDs and scratches on them, how frustrating it is,

29:41that's a brilliant metaphor for aging.

29:45And then the reader is the thing that skips

29:50and then it could destroy your experience,

29:53the richness of the experience

29:54that is listening to your favorite song.

29:57- Right, but in biology, it's even worse

29:59'cause you'll lose your memory, your kidneys will fail,

30:01you'll get diabetes, your heart will fail.

30:03And we call that aging and age-related diseases.

30:06So most people forget that diseases that we get

30:10when we get old are 80 to 90% caused by aging.

30:13And we've been trying to fix things with Band-Aids

30:15after they occur without even generally talking

30:19about the root cause of the problem.

30:21- Is there the scratches, do those come from,

30:26are those programmed or are they failures?

30:31Meaning is it, so if it's by design,

30:36then there's like a encoded timeline schedule

30:40that the body's just on purpose

30:43of degrading the whole thing.

30:44And then there's the just the wear and tear

30:47of like the scratches and a disc that happen through time.

30:50Which one is it that's the source of aging?

30:52- It's more akin to wear and tear, there isn't a program.

30:56Getting back to evolution, there's no selection for aging.

31:00We're not designed to age, we just live as long as we need to

31:03and then we're at the whim of entropy basically.

31:06Second law of thermodynamics, stuff falls apart.

31:09We live a bit longer than age 40

31:11only because there are robust resilient systems

31:13but eventually they fail as well.

31:15Current limit to the human lifespan

31:16where they completely fail is 122.

31:19But I don't like to think of it as wear and tear

31:23because there's two aspects to it.

31:25There's a system that's built to keep us alive

31:28when we're young but actually goes,

31:30comes back to bite us as we get older.

31:33And we call this issue antagonistic pleiotropy.

31:37What's good for you when you're young

31:39can cause problems when you're older.

31:42So we've been looking what is the cause of,

31:44the main causes of the noise

31:46and we've found two of them definitively.

31:49The first one is broken chromosomes.

31:52When a chromosome breaks, the cell has to panic

31:55because that's either gonna cause a cancer or kill the cell.

31:58There's only two outcomes, it's pretty much a problem.

32:01And so what the cell does is it reorganizes the epigenome

32:05in a massive way.

32:07What that leads to is,

32:09think of it as a tennis match or a ping pong game.

32:12The proteins are the balls

32:14and they now leave where they should be,

32:15which is regulating the genes that make the cell type,

32:19whatever it is.

32:20And they have a dual function,

32:21they actually go to the break,

32:23the chromosome will break and fix that.

32:25And then they come back.

32:26You might ask, well, why is it set up that way?

32:29Well, it's a beautiful system,

32:30it coordinates gene expression,

32:31the control systems with the repair.

32:33You want them coordinated.

32:35Problem is as we get older,

32:37this ping pong game, some of the balls get lost.

32:39They don't come back to where they originally started.

32:42And that's what we think is the main noise for aging.

32:46And we've also, the other cause of aging that we found

32:49is cell stress, we damage nerves and they age rapidly.

32:52So that's the other issue.

32:54There's probably others.

32:55Smoking chemicals, for example,

32:58we know accelerates biological age pretty dramatically.

33:00But the question is, can you slow that down

33:04or can you reset them to get those ping pong balls

33:06to go back to where they originally started in the game?

33:09And we think we've found a way to do that.

33:12- What, can you give me hints?

33:13Whose fault is it, and the ball's not coming back,

33:15is it the proteins themselves?

33:17Like, are they starting?

33:20Again, I've been obsessed with the protein folding problem

33:22from the AI perspective.

33:23So is it the proteins or is it something else?

33:25- Well, we know who hits the balls and recruits them.

33:29So that the break is recognized by proteins

33:33who send out a signal through phosphorylation

33:37is typical way cells talk to other proteins.

33:40And that recruits those repair factors,

33:43those ping pong balls to the break.

33:45So the cell's actively doing this to try and help itself.

33:49But we don't know who's to blame for them not coming back.

33:53That could just be a flaw in the quote unquote design.

33:58I don't think that there's something saying,

34:00well, 1% of you balls, proteins never go back.

34:04I just think it's hard to reset a system

34:06that's constantly changing.

34:07We have in our bodies close to a trillion DNA breaks

34:11every day, and imagine that over 80 years,

34:14what damage that does to our epigenomic information.

34:17Now we know that this is, well,

34:20we never know anything in biology,

34:21but we have strong evidence that this is true

34:23because we can mess with animals,

34:27we can create DNA breaks and tickle them

34:30with a few breaks, maybe raise it by threefold

34:32over background levels of normal breakage.

34:35And if we're right, those mice should get old.

34:38And they do.

34:40We can actually, we've created these breaks

34:42in a way that's titratable.

34:44We can, it's like a rheostat, we can send it to 11.

34:46I drove my Tesla here, I'm a big fan of Spinal Tap 2,

34:51going to 11.

34:52If we go to 11, we can make a mouse old

34:54in a matter of months.

34:55We prefer to go to a level of about four,

34:58and it gets old in 10 months.

35:00But it's definitely old.

35:01It's got all of the hallmarks of aging,

35:03it's got diseases, it looks old,

35:06its skin is old, it's got gray hair.

35:08But importantly, we can now measure age

35:09by looking at the scratches.

35:11We can look at the epigenome, we can measure it,

35:13and use machine learning to give us a number,

35:15and those mice are 50% older than normal.

35:19- So you can replicate the aging process

35:20in a controlled way.

35:21You can, I mean, in a way that you,

§05Transcript · 35:24–44:16

35:24I mean, you could accelerate it,

35:27in a controlled way, and measure how much exactly it's aging,

35:31and that gives you step one of a two-step process

35:34to when you can then figure out,

35:36well, how can we reverse this?

35:37- And now we're reversing those mice.

35:40- Is there a good, I love what you said.

35:42I mean, in biology, you really don't know.

35:44It's such a beautiful mess.

35:47Is there ideas how to do that?

35:51Is that on a genetic engineering level?

35:55Is it, like, what can you mess with?

35:57Is it going to the, trying to discover the backup copies,

36:02and restoring from them?

36:04Like, what's, if it's possible to convert it

36:06to natural language words, what are the ideas here?

36:09- What is the observer, and how do we contact it?

36:11- Exactly, what's the observer, and how do you contact it?

36:14Or if there's other ideas,

36:15how to reverse the balls-getting-lost process.

36:20- Yeah, well, you can slow it down.

36:22- Slow it.

36:23But we found a reset switch recently.

36:26We just published this in the December 2020 issue of Nature.

36:31And what we found is that there are three embryonic genes

36:36that we could put into the adult animal

36:39to reset the age of the tissues.

36:42And it only takes four to eight weeks to work well.

36:44And we can take a blind mouse

36:46that's lost its vision due to aging,

36:48neurons aren't working well towards the brain,

36:50reset those neurons back to a younger age,

36:52and now the mice can see again.

36:54These three genes are famous, actually,

36:57because they're a set of four genes

36:59discovered by Shinya Yamanaka,

37:01who won the Nobel Prize in 2016,

37:04for discovering that those four genes,

37:05when turned on at high levels in adult cells,

37:09can generate stem cells.

37:11And this is, I think, well-known now

37:14that we can create stem cells from adult tissue.

37:16But what wasn't known is, can you partially take age back

37:19without becoming a tumor,

37:20or generating a stem cell in the eye,

37:22which would be a disaster?

37:24And the answer is yes.

37:24There is a system in the body

37:26that can take the age of a cell back to a certain point,

37:29but no further, safely, and reset the age.

37:32And we're now using that to reset the age of the brain

37:36of those mice that we aged prematurely,

37:39and they're getting their ability to learn back.

37:42- This is really exciting, right?

37:44Like, what's the downside of this?

37:46- Well, the downside is if you overdo it,

37:49and you don't get it right, you might cause tumors.

37:53But we do it very carefully,

37:54and we also know that in the eye, it's very safe.

37:57We also injected these, we deliver them by viruses,

38:01so we can control where and when they get turned on.

38:06And in this paper, we've published that

38:08if we put high levels in the mouse,

38:10into their veins, throughout the body,

38:12they don't get cancer for over a year.

38:14So I'm so optimistic that we're going into human studies

38:18in less than two years from now.

38:20- Is there a place where AI can help?

38:23Sorry to inject one of the things

38:27I'm very excited about and passionate about.

38:30So Google DeepMind recently had a big breakthrough

38:35with AlphaFold2, but also AlphaFold two years ago,

38:39with achieving sort of state-of-the-art performance

38:44on the protein folding problem, single protein folding.

38:49But it also paints a hopeful picture

38:52of what's possible to do in terms of simulating

38:54the folding of proteins,

38:56but also simulating biological systems through AI.

39:00Is there something to you, combined with this brilliant work

39:04on the biology side that you're hopeful about,

39:07where AI can be a tool to help?

39:10- Where isn't that a tool?

39:11I mean, if you're not using AI right now in biology,

39:13you're getting left behind.

39:14We use it all the time.

39:15We're using it to generate these biological clocks

39:18to be able to read those scratches.

39:21We're using it to predict the folding of proteins

39:24so we can target molecules and modulate their activity.

39:27We're using it to assemble genomes of different species.

39:30What else?

39:32We use it to predict the longevity of a mouse

39:35based on how it reacts to certain things,

39:38hearing, eyesight, generally frailty.

39:41So we just put out a paper last year on that.

39:43The other thing we can use it for,

39:46which is a little off the track here,

39:49but we use it for predicting

39:51which microorganisms are in your body.

39:53Actually, not predicting, telling you.

39:55So our daughter, Natalie,

39:58was infected with Lyme disease a few years ago,

40:00almost went blind from it.

40:02And the test took four days.

40:03And I thought, just give me the DNA from her spinal fluid.

40:06I'll go tell you what's in it,

40:07if it's Lyme disease or not.

40:09They refused.

40:10And so at that point I said, this has to be done better.

40:12So I've started a company that now can take a sample

40:15of any part of your body.

40:17It's typically done now with liver transplant patients

40:21to detect viruses that come out of their organs.

40:24But that's another area that AI is extremely important for.

40:28I think if you're not, in five years,

40:31if you're not using deep learning, you've got a problem.

40:35Because the amount of data that we generate now

40:36as biologists is just terabytes.

40:39It can be terabytes per week,

40:40it'll eventually be terabytes per day.

40:42And then we just go from there.

40:43And I actually have trouble recruiting enough

40:46bioinformaticians.

40:47A lot of our work is now just number crunching.

40:51- A part of that is collecting the data,

40:55which is kind of something we've talked a little bit about.

40:57But is there something you can say about how we can collect

41:02more and more data?

41:04Not just on the one person level,

41:07like for you to understand your various markers,

41:13but to create huge datasets,

41:16to understand how we can detect certain pathogens,

41:20detect certain properties, characteristics of,

41:23whether it's aging or all the other ways

41:25that a human body can fail.

41:27It seems like with biology,

41:29there's a kind of privacy concerns that,

41:33well, actually not privacy concerns,

41:34it's almost like regulation that kind of prevents

41:38like hospitals from sharing data.

41:42I'm not sure exactly how to say it,

41:44but it seems like when you look at autonomous vehicles,

41:48people are much more willing to share data.

41:50When you look at human biology system,

41:52people are much less willing to share data.

41:54Is there a hopeful path forward where we can share

41:57more and more data at a large scale

42:00that ultimately ends up helping us understand

42:03the human body and then treat problems with the human body?

42:06- So we are right in the middle.

42:08We're living through what's going to be seen

42:10as one of the biggest revolutions in human health,

42:12through the gathering of data about our bodies.

42:16And 20 years ago, people didn't want to go on social media,

42:19they're worried about it.

42:20Now you have to, if you're a kid, that's for sure.

42:22Same with medical records.

42:25These are becoming all digitized and expanded.

42:29Ultimately, we're going to,

42:31even if we don't want to, have to be monitored.

42:34There's going to be a court case that,

42:36I bet two, three years from now, someone's going to say,

42:39how come my father died from a heart attack?

42:42You had these biosensors, 20 bucks, and you didn't use it.

42:45Lawsuit right there, and suddenly,

42:47all hospitals have to give you one of these.

42:49- There'll be a reversal, like to where,

42:51it's your fault if you don't collect the data,

42:54that's brilliant, and that's absolutely right.

42:58I mean, that's absolutely right.

43:00That's the frustration I feel in going to the doctor,

43:03is like, it's almost negligent to not collect the data,

43:10because you're making,

43:11there's something really wrong with me,

43:14and you're making decisions based on very few tests.

43:17That's almost negligent, when you have the opportunity

43:20to collect a huge amount more data.

43:22- Well, let me tell you something, Lex.

43:24I've got this inside tracker data for myself over a decade,

43:29and you'd think my doctor would roll his eyes at this.

43:31Oh, he's gone to a consumer company, blah, blah, blah.

43:34I had my first checkup in a year with him

43:37through video conference,

43:39and he was running blind.

43:42He really didn't know what was going on with me.

43:45He asked the usual things, how am I sleeping,

43:47how am I eating, these kind of usual things.

43:50And I said, well, I've got new tests back

43:52from inside tracker, and he said, great,

43:54I'd love to see them.

43:55So I share screen, and we look at the graphs,

43:58look at the data, and he's loving it,

44:00'cause he cannot order these tests willy-nilly.

44:04So I said, well, let's order a HbA1c blood glucose levels,

44:08because I'm very interested in that.

44:10That tracks with longevity.

44:11And he said, well, I have no reason to order that.

44:13Do you have a family history?

44:15No.

44:16Do you have any symptoms of diabetes?

§06Transcript · 44:18–52:52

44:18No, well, I can't order the test.

44:20I almost wanted to reach through the computer

44:22and strangle him, but instead, I pay a little bit

44:25to get these tests done, and then he looks at them.

44:28So that's now the way consumer health is going,

44:30is that you can get better data than your doctor can,

44:32but they like you to do that.

44:34- Quick human question, maybe you can educate me.

44:38I think doctors sometimes have a bit of an ego.

44:42I understand that the doctor's super experienced

44:44with a lot of things, but this is a fundamental question

44:47of human variability.

44:49Like, I know a lot of specific details about,

44:51I mean, it depends, of course, what we're talking about,

44:54but I bring a lot of knowledge, and if I have data with me,

44:58then I have several orders of magnitude more knowledge.

45:02And I think there's an aspect to it

45:04where the doctor has to put their expert hat,

45:09like, take it off, and actually be a curious,

45:13open-minded person, and study, and look at that data.

45:16Do you think it's possible to sort of change the culture

45:20of the medical system to where the doctors are almost,

45:22as you said, are excited to see the data?

45:25Or is that already happening?

45:26- It's really happening.

45:27Now, we've probably lost the last generation.

45:30There are no hopers, but, so I teach

45:33at Harvard Medical School, and they're excited about this.

45:35They're excited about aging,

45:37which is a new aspect to medicine.

45:39Oh, wow, we can do something about that?

45:41And then, yeah, all this data, what do we do with it?

45:43There's still the traditional pathology

45:45and all that stuff, which they need to know.

45:47But time will change their mindset.

45:52I'm not worried about that.

45:54And like we were discussing, this isn't a question of if,

45:57it's just a matter of when.

45:59And it's, you know, I have a front row seat on all of this.

46:02I had breakfast with a CEO

46:04who is making this happen just yesterday.

46:08I can tell you for sure that most people have no idea

46:12that this revolution is occurring

46:14and is happening so quickly.

46:16If you're running a hospital

46:18and you can save $2,000 per cardiac patient,

46:21what are you going to do?

46:22You have to use it.

46:23Otherwise, you know, the hospital down the road

46:25is going to be beating you.

46:28And there are large hospital aggregations.

46:30So there's Ascension and others

46:32that just have to go this way for budgetary reasons.

46:37And right now the US spends, what is it,

46:3917% of their GDP on healthcare.

46:42Let's say one of these buttons on my chest costs 20 bucks,

46:45it's rechargeable, and it can predict people's health

46:48and save on antibiotics, prevent heart attacks.

46:51How many billions, if not trillions of dollars

46:54will that save over the next decade?

46:57- Yeah, so when the public wakes up to this,

47:00they'll almost demand it.

47:01Like this should be accepted everywhere,

47:04this is obvious, it's going to save a lot of money,

47:06it's going to improve the quality of life.

47:07- Well, and the CFOs of hospital groups will have to.

47:11And insurance companies are going to want to get in on this.

47:15So now that gets to privacy, right?

47:17Should an insurance company have access to your data?

47:20I would say no, but you could voluntarily show them

47:23some of it if they give you a discount.

47:25And that's also being worked on right now.

47:28- I hope that we do create kind of systems

47:30where I can volunteer to share my data,

47:33and I can also take the data back,

47:35meaning like delete the data, request deletion of data.

47:39And then maybe policy creates rules

47:41to where you can share data, you could delete the data.

47:45And I think if I have the option to delete all my data

47:50that a particular company has,

47:52then I'll share my data with everyone.

47:55I feel like if, because that gives me the tools

48:00to be a consumer, an intelligent consumer,

48:04of awarding my data to a company that deserves it

48:08and taking it back when the company is misbehaving.

48:11And in that way, encourage as a consumer

48:14in the capitalist system,

48:15encourage the companies that are doing great work

48:18with that data.

48:20- Well, yeah, healthcare data security is number one

48:24in my mind, InsideTracker made sure that that was true.

48:27But these buttons on your chest,

48:31there's very private stuff.

48:32They can probably tell if you're having sex one night.

48:35So this is not the kind of stuff you want leaked.

48:37So I don't know whether it's blockchain or something.

48:39- Speak for yourself, I want this public.

48:41(Luke laughs)

48:43- Well, I guess it depends on how you go.

48:45But there's a lot of stuff you don't want out there.

48:48And this definitely has to be number one,

48:51'cause it's one thing to have your credit card

48:54information stolen, it's another thing

48:55your health records are permanently out there.

48:57- Yeah, so there's, on the biology side,

48:59super exciting ways to slow aging.

49:03But there's also on the lifestyle side.

49:05I've recently did a 72 hour fast,

49:08just an opportunity to take a pause and appreciate life.

49:11Think about, there's something about fasting

49:14that encourages you to reflect deeper

49:19than you otherwise might.

49:21The time kind of slows, and you also realize

49:25that you're human because your body needs food.

49:27And you start to see your body's almost as a machine

49:31that takes food and produces thoughts.

49:33(Luke laughs)

49:35And then ends, I mean, you start to,

49:38depending who you are, if you're engineering minded,

49:41you start to think of this whole thing

49:43as a kind of, yeah, as a machine.

49:46And then also feelings fill this machine.

49:50Feelings of gratitude, of love,

49:52but also the uglier things of jealousy,

49:56and greed, and hate, and all those kinds of things.

49:59You start to think, okay, how do I manage this body

50:04to create a rich experience?

50:06All of that comes from fasting for me.

50:07Anyway, but there's also health benefits to fasting.

50:11I intermittent fast a lot.

50:13I eat just one meal a day most of the time.

50:16Is there something you could say

50:18about the benefits of fasting in your own life,

50:20and in general, the anti-aging process?

50:23- Wow, you're a philosopher too.

50:25- Sorry, I apologize.

50:26- No, I'm impressed.

50:28True Renaissance man.

50:30It's a joy to be here.

50:32So when it comes to fasting, this is,

50:34being abstemious is one of the oldest ways

50:37to improve health.

50:38Probably they knew this 5,000 plus years ago.

50:41So that's not new.

50:43But what we're figuring out is what is optimal,

50:45and how does it work?

50:47And one of the things we help contribute to,

50:49which I can speak to with some authority,

50:51is that these longevity genes we work on,

50:54we showed back in the early 2000s,

50:56are turned on by fasting.

50:58And at least in yeast, we were the first to show

51:01how calorie restriction fasting works to extend lifespan.

51:04And that was the first for any species.

51:06Something similar happens in our bodies.

51:08When we're hungry, or put our bodies

51:10under any other perceived adversity,

51:12such as running, our bodies think,

51:14wow, we're getting run, chased by a saber-toothed cat

51:17or something.

51:19If we're really hot or cold, these probably also work.

51:22To put our bodies in this defensive state,

51:24to activate these genes in the way that whales do

51:27and mice don't.

51:28And so hunger is the best way to do that.

51:31In fact, I don't think you have to feel hungry.

51:33You can get used to it.

51:35But if there was one thing I would recommend to anybody

51:38to slow down aging, would be to skip a meal or two a day.

51:42Now, it doesn't mean you don't have to live well.

51:44You can go out.

51:45I go to restaurants, I eat regular food.

51:47I try to be as healthy as possible.

51:50But I've gone from skipping breakfast most of my life,

51:53now to skipping lunch as well.

51:55And I have my physique back that I had when I was 20.

51:59I feel 20 mentally.

52:01I'm much sharper.

52:02I don't feel tired anymore.

52:03I sleep well.

52:04So I'm a huge fan of the one meal a day thing.

52:07Where I'm not good at is going beyond one day.

52:11But if you do three days--

52:12- Have you ever fasted longer than 24 hours?

52:15- I tried doing two days.

52:17I might've made it to the third and given up.

52:20I just find that I don't have a lot of willpower.

52:23I also hate exercise.

52:24So I'm not sure how long I'm gonna live.

52:27But I've managed to do one meal a day.

52:29So if I can do that, seriously, anybody can do that.

52:31To your listeners and viewers, I would say,

52:35don't try to do it all at once.

52:38You can't go from snacking and eating three meals a day

52:40to what I do easily.

52:42Work your way up to it, but also compensate with drinking.

52:45If you like tea, if you like coffee, put some milk in it.

52:48That's fine.

52:49You can fill your stomach up with liquids, diet sodas.

52:52I get criticized for drinking,

§07Transcript · 52:54–1:01:49

52:54but I'm gonna continue to have those.

52:56But then I power through the day.

52:58I definitely don't feel tired.

52:59I don't have a lag anymore.

53:00But also give it at least two weeks

53:02'cause there's a habit as well.

53:04Having something in your mouth, chewing,

53:06feeling that fullness.

53:08You can break that habit.

53:09And within two, three weeks, you'll have done it.

53:12- Absolutely.

53:12So I'm not actually even that strict about it.

53:14You said diet soda.

53:15Yeah, people are very kind of weirdly strict

53:18about fasting, the rules and fasting.

53:20Like for example, I drank Element Electrolytes

53:25when I was fasting, and that has like five calories.

53:28And so technically it's not fasting.

53:31Or people will say like, if you drink coffee,

53:33there's caffeine.

53:34And they'll say that's technically not fasting

53:36'cause there's some kind of biological effects of caffeine.

53:39But whatever.

53:40Of course, there's like biological benefits

53:42that you can argue about.

53:43But there's also just experiential benefits.

53:45Just calorie restriction broadly

53:48has a certain experience to it that,

53:51like for me personally, just as you said,

53:53has made me feel really good.

53:55That said, like especially I've gained quite a bit of weight,

54:00like maybe even like 15 pounds, something like that,

54:03since I moved to Austin, Texas.

54:05And I still keep the same diet.

54:08But I eat a lot of meat in that one,

54:12just because it's delicious,

54:14because it's also the amazing people I met in Texas.

54:19It's just there's like a camaraderie, a friendship,

54:22a love to the people that like makes you really enjoy

54:25the atmosphere of eating the brisket and the meat.

54:29- Is this Joe Rogan insisting?

54:31- Joe is, I mean, it's very different.

54:34Joe loves bread and pasta.

54:38Like he knows that his body feels best

54:42doing keto or carnivore.

54:44So that's what he usually tries to stick to.

54:47But he also does not hold back.

54:50And he'll just eat pasta when he does pasta.

54:52And he sort of enjoys life in that way.

54:55I can't, I don't know how to enjoy life in that way.

54:57I also love pasta, but I'm just not going to enjoy it

55:01because I know my body ultimately

55:05does not feel good with pasta.

55:07So it's a funny kind of dichotomy.

55:09I would like to cheat, I guess,

55:13by eating more meat than I, you know,

55:17like overeating on the things

55:20that I know my body feels good on,

55:22as opposed to eating stuff I shouldn't,

55:24like cake and all those kinds of things.

55:26I tend to find happiness in overeating the good stuff

55:32versus eating the bad stuff.

55:35And that's the kind of balance.

55:37Him, he's like, fuck it.

55:40Every once in a while, you got to enjoy it.

55:43And then also coupled with that for him is just exercise,

55:48like then faces demons the next day

55:51and just like burn a huge amount of calories,

55:53which is, I mean, whatever's up with that guy's mind,

55:58there's an ability to fully experience life,

56:03which is represented by the pasta

56:06and the ability to just like fight the demons,

56:09which is represented by all the crazy kettleballs

56:11and running the hills

56:13and all this kind of stuff that he does.

56:14That takes a lot out of you

56:16doing that kind of insane exercise.

56:17And I think I'm more like you,

56:20or at least towards your direction is like,

56:22I really hate exercise.

56:24So I do it, but I really hate it.

56:26And so it's a balance that you have to strike.

56:29Is there something you could say

56:30about the diet side of that for you personally,

56:34but in general, in order to achieve calorie restriction,

56:39like for me eating, I know it may not sound healthy,

56:43but eating carnivore, eating mostly meat

56:47has made me feel really good, both mentally and physically.

56:52Is there something you could say about the kinds of diets

56:56that may improve longevity,

56:57but also enable calorie restriction?

57:01- Well, sure.

57:02I mean, the first thing that's important to know

57:04is that while many people are interested/obsessed

57:08with what they eat,

57:11the data that's come out of animal studies at least

57:13is it's far more important when you eat than what you eat.

57:17And this was a fantastic study a few years ago

57:20by my friend, Rafael de Cabo

57:22at the National Institutes of Health in Bethesda.

57:24And he had 10,000 mice on different diets,

57:26hoping to find the perfect mix of carbs, protein, and fat.

57:30And it turns out that the only ones that lived longer

57:33were the ones that only ate once a day.

57:35And so that, we're not mice,

57:37but I think that we're close enough to mice

57:40that this tells us a lot.

57:42But okay, but I still think the best bang

57:44for the longevity buck is to do both well,

57:47eat less often and eat the right things.

57:51Now I'll preface this to say, I'm not a nut about this.

57:54I will eat very occasionally a dessert.

57:57Usually I steal from others, which doesn't count, right?

58:00- Exactly.

58:01- But you gotta live life, right?

58:02What's a long life if it's not enjoyable anyway?

58:05But what I also found,

58:07and this is, I'll get to your question in a second,

58:09but my microbiome right now and stomach is at a point

58:12where if I try to overeat on a steak,

58:15which I did a couple of days ago,

58:16I actually had a fried chicken specifically,

58:21for two days I felt terrible.

58:23I couldn't sleep, it wouldn't go down.

58:26So I'm now at a point where even if I want to binge

58:28on meat and fried foods, I just can't, it just feels bad.

58:31But what do I recommend?

58:34Well, what the data says, which I try to follow

58:37is that plant-based foods will be better

58:40than meat-based foods.

58:41And I know that there are a lot of people who disagree,

58:43but one of the facts is, well, there's a few facts.

58:46One is that people who live a long time

58:47tend to eat those type of diets,

58:48Mediterranean, Okinawa diet.

58:51They're eating mostly plants with a little bit of meat

58:53and not a lot of red meat.

58:55And the other fact is that in animals,

58:57we know that there's a mechanism that's called mTOR,

59:01little m, capital T-O-R, that responds to certain amino acids

59:05that are found in more abundance in meat.

59:07And when it responds, it actually shortens lifespan.

59:10And the converse, if you starve it of those three amino acids

59:13mostly in meat, then it extends lifespan.

59:17And there's a drug called rapamycin,

59:19which some people are experimenting with, that does that.

59:22So you might be able to,

59:24I'm just saying this here from all my colleagues,

59:26we don't know the results here,

59:27but you could potentially take a rapamycin-like drug

59:30and counteract the effects of meat in the long run.

59:34Don't know, we should try that, actually.

59:35We could do that in the lab.

59:37But getting to the bottom of this,

59:39what I think is going on is that

59:41just like testosterone and growth hormone,

59:42you will get temporary, maybe not temporary,

59:47immediate health benefits.

59:48You'll feel great, you'll get more muscle energy.

59:51But the problem is, I think it's at the expense

59:54of long-term health and longevity.

59:56- Well, this is actually something I worry about

60:00in terms of long-term effects

60:03or the cost in terms of longevity.

60:05It's very difficult to know

60:07how your choices affect your longevity

60:09because the impact is down the line.

60:12Just because something makes me feel good now,

60:17like eating only meat makes me feel good now,

60:20I wonder what are the costs down the line.

60:22- Well, think about what I was saying

60:23about the trade-offs between growth and reproduction,

60:27which is what a mouse does,

60:28and a whale that grows slowly, reproduces slowly,

60:31lives a long time.

60:33It's called the disposable soma theory.

60:35Kirkwood just proposed that in the '70s.

60:38What meat probably does is put you in the mouse category,

60:42super fertile, grow fast, heal fast.

60:44And then if you want to be a whale,

60:46you should restrict meat and do things

60:49that promote the preservation of your body.

60:53- Is it difficult to eat a plant-based diet

60:57that you perform well under, so mentally and physically?

61:01Just almost, I'm asking almost like an anecdotal question,

61:06unless you know the science.

61:08- Well, the science is still being worked out,

61:12but from the synthesis of everything that I've read,

61:15I try to eat a diet that's definitely full of leafy greens,

61:20particularly spinach is great,

61:22'cause it's got the iron that we need, plenty of vitamins.

61:25I also try to avoid too much fruit and berries,

61:30particularly fruit juice,

61:34definitely avoid that sugar high.

61:35Spiking your sugar is not healthy in the long run.

61:39The other thing that's interesting is we discovered

61:42what we called xenohormetic molecules.

61:45Let me unpack that, 'cause it's a terrible name,

61:47and I take full responsibility

61:49with my friend Conrad Howitz.

§08Transcript · 1:01:51–1:09:51

61:51The xeno means cross species,

61:53and hormesis is the term that what doesn't kill you

61:57makes you live longer and be healthier.

62:01And so we're getting cross species health improvements

62:04by molecules that plants make.

62:06And plants make these molecules

62:08when they're also under adversity or perceived adversity.

62:11For instance, I understand

62:14if you want really healthy or good oranges,

62:16you can drive nails into the bark of the tree

62:19before you harvest.

62:20Same with wine, you typically want them to be dry

62:23before you harvest or covered in fungus.

62:26And that's because these plants make these colorful

62:28and xenohormetic molecules

62:30that make themselves stress resistant,

62:33turn on their sirtuin defenses, the sirt genes, remember.

62:37And when we eat them, we get those same benefits.

62:40That's the idea, and we've evolved to do so.

62:42This isn't a coincidence.

62:43It's my theory, our theory,

62:45that we want to know when our food supply

62:48is under adversity because we need to get ready for a famine.

62:52And so we hunker down and preserve our body.

62:54And by eating these colored foods,

62:55so practically speaking, if it's full of color,

62:58or if there's been some chewing by a caterpillar,

63:01organic, grown locally in local farms,

63:05I'll eat that versus a watery, insipid, light-colored,

63:10lettuce that's been grown in California.

63:12- So you want vegetables that have suffered.

63:14You want the David Goggins' of vegetables.

63:16That's the xenohormetic molecules.

63:19- I love that term.

63:20I'm gonna take that one with me, thank you.

63:23- Yeah.

63:24Oh, I follow him on Instagram, he's always screaming.

63:27So you want the, he's basically

63:29the xenohormetic version of a human.

63:34I like it.

63:36So these are the molecules that are representative

63:39of the stress that a plant has been under.

63:44- Yeah, the best example of that is resveratrol,

63:46which many people, including myself,

63:48take as a supplement.

63:49Grapes, grapevines produce that in abundance

63:52when they're dried out or they have too much light

63:55or fungus.

63:56And that, we've shown, activates the SIR2 enzyme

64:00in our bodies, which, remember,

64:02is what extends lifespan in yeast

64:03and slows down aging in the brain.

64:05- That's beautiful.

64:06Yeah, I tend to avoid fruit as well.

64:09So green veggies, anything that's not very sweet.

64:12So I would just say you're relatively low,

64:15like you try to avoid sugary things as well.

64:19- Yeah, I'm fairly militant about that.

64:21I rarely would add sugar to anything.

64:23Occasionally I would eat a slice of cheesecake,

64:27but that would be maybe once or twice a year.

64:31You have to give in occasionally.

64:32But yeah, anything that's sweet,

64:34I would rather substitute something like Stevia

64:37if I need a sugar hit.

64:38- What about exercise, your favorite topic?

64:43(both laugh)

64:45Is there a--

64:46- I don't like talking about it.

64:47(both laugh)

64:48- Yeah, okay, great.

64:49Is there benefits to longevity from exercise?

64:53- Well, no doubt.

64:54That's proven.

64:55Just like fasting, it's pretty clear that that works.

64:59For example, there are studies of cyclists.

65:01It was something like people that cycle

65:04over 80 miles a week have a 40% reduction

65:07in a variety of diseases, certainly heart disease.

65:10So that's not even a question.

65:11But what's interesting is that we're learning

65:13that you don't need much to have a big benefit.

65:15It's an asymptotic curve.

65:17And in fact, if you overdo it,

65:19you probably have reduced benefits,

65:20particularly if you start to wear out joints,

65:22that kind of thing.

65:23But just 10 minutes on a treadmill a few times a week,

65:25getting your, lose your breath, get hypoxic as it's called,

65:28seems to be very beneficial for long-term health.

65:32And that's the kind of exercise that I like to do, aerobic.

65:36Though I do enjoy lifting weights.

65:38So that is what I call my exercise,

65:40which has other benefits,

65:41including maintaining hormone levels, male hormone levels.

65:46But also really why I do it is I want to be able

65:49to counteract the effect of sitting for most of the day.

65:53And as you get older, you lose muscle mass.

65:55It's a percent or so a year.

65:57And I don't want to be frail when I'm older

65:59and fall over and break my hip,

66:00which happens every 20 seconds in this country.

66:04- So maintaining that strength,

66:05but also doing the cardio for the longevity,

66:07for avoiding the heart disease.

66:10Yeah, I definitely, just like with fasting,

66:13have the philosophical benefit of running long

66:15and running slow.

66:17I enjoy it 'cause it kind of clears the mind

66:19and allows you to think.

66:20I actually listen to brown noise as I run.

66:23It really helps remove myself from the world

66:26and just like zoom in on particular thoughts.

66:28- What is brown noise?

66:30- It's like white noise, but deeper.

66:31So like white noise is like shh,

66:35and then brown noise is more like,

66:37(makes whooshing sound)

66:38like ocean.

66:39- That sounds great.

66:40I might try that.

66:41- Yeah, yeah, it's a--

66:43- It's more soothing probably.

66:44- I'm not sure.

66:45There could be science to this.

66:46I need to look this up.

66:47I've been meaning to.

66:48But when I started, this is maybe like five years ago,

66:53I started listening to brown noise when I work.

66:56And the first time I listened to it,

66:58something happened to my mind

67:00where it just went like,

67:01(makes whooshing sound)

67:02zoomed in to like,

67:04in a way that it felt like really weird,

67:07like how precisely it was able to sort of remove

67:12the distractions of the world and really help my mind.

67:16Obviously, like the mind is trying to focus

67:19and then it just enabled that process

67:21of trying to focus on a particular problem.

67:24I don't know if this is generalizable to others.

67:26People should definitely try it if you're listening to this.

67:29Maybe it's just my own mind.

67:30But it's funny, like,

67:32it made me, brown noise made me realize

67:35that there's probably hacks out there

67:38that work for me that I should be constantly looking for.

67:41It's almost like an encouraging and motivating event

67:46that maybe there's other stuff out there.

67:49Maybe there's other brown noise-like things out there

67:52that truly, like almost immediately make me feel better.

67:56I don't know if it's generalizable to others,

67:57but it does seem that it's the case that

68:01there's probably for many others,

68:03things like that that could be discovered.

68:05And so it's always disappointing when I find things in life

68:10that I wish I would found earlier.

68:12I got LASIK eye surgery a few years ago.

68:17And the first thought I had like the next day

68:19when I woke up is like,

68:21damn it, why didn't I do this way earlier?

68:24There's other stuff of that nature

68:27that are yet to be discovered.

68:29So it pays to explore.

68:31- Yeah, though you have a different mind.

68:33You have quite a beautiful mind.

68:34So I suspect brown noise helps you focus

68:37and 'cause you're probably all over the place

68:39if you don't control it.

68:40- Yeah, exactly.

68:41It means something about it.

68:42It's a programmer thing.

68:43A programming is a really difficult mental journey

68:50'cause you have to keep a lot of things in mind.

68:52You have to, so you're constantly designing things.

68:56Then you have to be extremely precise

68:58by making those things concrete in code.

69:01You also have to look stuff up on the internet

69:05to sort of feed like information

69:08and looking up stuff on the internet.

69:10Internet is full of like distracting things.

69:12So you have to be really focused

69:13in the way you look stuff up

69:15in pulling that information in.

69:16So it requires a certain discipline

69:19and a certain focus that I've been very much exploring

69:23how to do.

69:24Like I do it really well in the morning,

69:26coffee's involved, all those kinds of things.

69:28You're trying to optimize,

69:29keeping very positive inspired, no social media,

69:33all those kinds of things and trying to optimize for.

69:36And everybody has their own kind of little journey

69:38that they try to understand.

69:40You get this from like writers.

69:41When you read about the habits of writers,

69:45like the habits they do in the morning,

69:47they usually write like two, three, four hours a day

69:49and that's it.

69:51It's like they optimize that ritual.

§09Transcript · 1:09:53–1:18:26

69:53And then there's always Hunter Stobson.

69:55So sometimes it pays off to be wild.

70:00What about sleep?

70:04How important is sleep for longevity?

70:06- I would guess based on the evidence

70:10that it's really important.

70:12And because we don't know for sure.

70:15But what we know from animal studies is the following.

70:17If you restrict sleep from a rat for just two weeks,

70:20it'll develop type two diabetes.

70:22It's that important.

70:23So that's the main thing.

70:25What we also know is at the molecular level

70:28that if you disrupt your sleep-wake cycle,

70:33so we actually have proteins that go up and down

70:35that control our sleep-wake.

70:36All of us, most of our cells do that.

70:39If you disrupt that, you'll get premature aging.

70:42And guess what?

70:43The opposite is true.

70:44That as you get older, that cycle,

70:46the amplitude becomes diminished.

70:49And this is why it's harder to get to sleep as you get older

70:51and then you got all sorts of problems.

70:54And I think what's going on is there's positive feedback

70:56which is a disaster in your old age,

70:59which is you're aging.

71:02You can't at this moment totally prevent that.

71:05And then it's disrupting your sleep

71:06and you get not enough sleep.

71:08And then that's gonna accelerate your aging process.

71:10And so it's known that people who are shift workers

71:13are more susceptible to certain age-related diseases.

71:17So bottom line, you definitely wanna work on that.

71:19It's one of the reasons I have this ring on my finger

71:21which helps me optimize my sleep

71:23and learn what I do the day before if it was a bad idea.

71:27And I'll stop doing that like eating a fried chicken.

71:29(laughing)

71:31- I see you're still carrying the burdens of that decision.

71:34But is, yeah, you know, sleep is one of those things

71:37that's making me wonder about the variability

71:41between humans a little bit and how science

71:44is often focused on,

71:46like it's not often focused on high performers

71:51in a particular way.

71:52And it's looking at the aggregate

71:55versus the individual cases.

71:56For example, like for me,

71:59I don't know what the exact hours are,

72:00but like power naps are incredible.

72:04I tend to look at the metric of stress and happiness

72:10and joy and try to optimize those.

72:13So decreasing stress, increasing happiness,

72:16and using sleep as just one of the tools to do that.

72:20Because like hitting the five, six, seven, eight,

72:23nine hour mark or whatever the correct mark is,

72:27I find that to be stress inducing for me

72:30versus stress relieving.

72:32Like thinking about that,

72:34I feel best if I sleep sometimes for eight hours,

72:37sometimes for four hours and then power nap.

72:39And as long as I have a stupid,

72:42private usually smile on my face,

72:44that's when I'm doing good

72:46as opposed to getting a perfect amount of sleep

72:49according to whatever the latest blog post is.

72:53And I also pull all nighters still.

72:55I also think there's something about the body,

72:59like as long as you do it regularly,

73:02it's not as stress inducing.

73:04Like you know what it is.

73:06The reason I pull all nighters isn't for like,

73:09I'm playing Diablo three or something,

73:11is because I'm doing something I'm truly passionate about.

73:14Well, I'm also a video games,

73:15but I'm doing something I'm truly passionate about.

73:18And it's almost like there's the Jocko Willink feeling

73:21of when I'm up at 7 a.m. and I haven't slept all night

73:25and still I'm working on it.

73:27There's a kind of a celebration of the human spirit

73:29that I really enjoy it.

73:30And that's happiness.

73:33And to sort of then,

73:36and I usually don't tell that kind of stuff to people

73:38because their first statement will be like,

73:40you should get more sleep.

73:42It's like, no, I'm doing stuff I love.

73:46You should get more love in your life, bro.

73:49- That's right.

73:50- So, but that said in aggregate,

73:52when you look at the full span of life,

73:55is probably you should be getting

73:58a consistent amount of sleep.

74:00And it seems like it's in that seven, eight hour range.

74:04- Yeah, but it's similar to food.

74:06It's the quality, not the quantity.

74:09And when you get it.

74:10So I look at my data pretty often.

74:14And what makes a difference to me

74:16is not the amount of hours, but the quality, the depth

74:19and the deep sleep is what'll do it.

74:21So if I have a lot of alcohol before going to sleep

74:24and I can see my heart rate being different,

74:26but what really kills me is that I don't get a lot

74:28of that deep sleep and I wake up barely remembering stuff.

74:32So that, like you say, if you're happy and contented

74:34and you don't have these cortisol chemicals

74:37going through your body,

74:38you will more naturally get into that deep state.

74:40And even if you just get four hours,

74:42way better than eight hours of none of that.

74:45- Yeah, yeah, that's beautiful.

74:46And some of that could be genetic.

74:48For me, I just fall asleep like this.

74:52If you want me to fall asleep right now, I can do it.

74:54It's no, I have no problem with it combined with coffee.

74:58I just had two energy drinks, I can probably sleep.

75:01So that, I don't know if that's genetics

75:03or it's kind of, I don't know what it is.

75:06Or maybe that I don't have kids and I'm single.

75:09So I don't have, I'm almost listening

75:11to some kind of biological signal versus societal signal

75:15on when I'm supposed to go to sleep.

75:17So I just go to sleep whenever I feel like going to sleep.

75:20- Well, that's 'cause you're self-employed.

75:22- Self-employed. - Most people

75:23don't have that luxury, but we're lucky, the two of us,

75:26that we can make our own hours.

75:28But yeah, it's super important.

75:29And those people who have the shift work,

75:32I mean, they really need to change the way that works

75:35because they're literally killing those people.

75:37- Is there something you could say about the mind

75:43and stress in terms of effect on longevity?

75:48'Cause I don't know if you think about it this way,

75:52but when you talk about the biological machine,

75:55it's always these mechanisms that are not necessarily

75:58directly connected to the brain

76:00or the operation of the brain.

76:02Like what's the role about stress and happiness

76:06and yeah, the sort of higher cognitive things

76:10going on in the brain on longevity?

76:13- Right, well, that's a great point.

76:16The brain is the center for longevity, actually.

76:19We do know that.

76:20First off, when I'm stressed, I can see, mentally stressed,

76:24then I can see it in my body.

76:27Heart rate, hormones, it's clear.

76:29That's no true surprise.

76:31So you've got to work on your brain first and foremost.

76:34If you are totally freaked out, agitated all the time,

76:39you will live shorter.

76:41I'm certain of it.

76:42I keep fish.

76:43I'm a big aquarium guy.

76:47And you can see the difference between the fish

76:49that's having a good time and dominant

76:51and the one that gets picked on.

76:53It just looks like crap.

76:55You don't want to be that, the little fish getting picked on

76:57if you can help it.

76:58So I used to be extremely stressed as a kid.

77:00I was a perfectionist, very shy,

77:03always worried about being a failure.

77:06If I didn't get an A plus, you know,

77:07I was crying in my bedroom, that kind of sad existence.

77:11I got into my 20s, then in my 30s and realized

77:14that's not the way to live.

77:15So I've worked very hard to get to this point

77:18where I almost never get stressed, never.

77:21There's nothing that, I've never gotten angry in my lab.

77:23I've got 20 kids.

77:24Sometimes it's like a, most of the time,

77:26it's like a kindergarten.

77:28I haven't lost my temper, I'm very calm.

77:31But that's intentional.

77:32And I don't worry about stuff.

77:34Millions of dollars, billions of dollars at stake sometimes.

77:37Keep it cool.

77:39It's only life.

77:40We're all headed to the same place anyway.

77:42Don't worry about it.

77:44But to answer your question, I think in a better way,

77:47if you manipulate the brain of an animal,

77:49I'll give you an example.

77:51If we turn on this SIRT gene that I mentioned, SIRT1,

77:54we, a good friend of mine at Wash U, she and I did this.

77:58They upregulated that gene just in the neurons

78:01of the animal.

78:03It lived longer.

78:04So that's sufficient to extend lifespan.

78:06We also know that you can manipulate the part of the brain

78:10called the hypothalamus, which leeches a lot of chemicals

78:12into the body and proteins, most of which we don't know yet,

78:17but just changing the inflammation of that little organ

78:21or part of the brain is sufficient

78:22to make animals live longer as well.

78:24So get your brain in order first

78:26before you tackle anything else, I would say.

§10Transcript · 1:18:29–1:26:09

78:29- So you kind of mentioned this.

78:31With the Insight Tracker, there's ability

78:34to take blood measurement and then infer from that

78:38a bunch of different things about your body

78:41and how you can improve the longevity.

78:44And you've also mentioned saliva and more efficient ways

78:50to get data.

78:52What does that involve?

78:55What's the future of data collection look like

78:57for the human biological system?

78:59- Right, well, yeah, the issue with blood

79:01is you need someone to take it.

79:03I mean, or you prick your finger, which hurts.

79:06So you've got to have something better.

79:07So I think what the future looks like

79:09is that you'll spit onto a little piece of paper

79:12and stick it in a machine, it'll do that for you.

79:14But we're not there yet.

79:15So the intermediate future that I'm building right now

79:20is that you would take a swab of the inside of your mouth,

79:24which is the easiest way to take cells out of your body,

79:26and just ship them off.

79:28Okay, so it's called a buckle swab.

79:30I think we became very used to that.

79:32Right now, because of COVID,

79:34people don't like going to the doctor as much.

79:36They don't like going out.

79:36They just want to have home tests.

79:38And so that I think is the next 10 years

79:40where you'll get a kit in the mail,

79:43you'll swab your cheeks, stick it back in an envelope,

79:45send it off, and a week later,

79:47you have either a doctor's report

79:50or a health recommendation.

79:52And what can you get off a cheek swab?

79:55Well, you can get anything.

79:55You can get hormones, stress hormones, blood glucose levels.

80:00You can also tell your age reasonably accurately doing that,

80:04actually quite accurately.

80:05And those clocks cannot just tell you

80:08how you're doing over time,

80:10but can be used to give you recommendations

80:12to slow that process down.

80:14'Cause some people sometimes are 10 years older biologically

80:16than their actual chronological age.

80:19I mean, why does it matter how many times

80:21the Earth's gone around the sun?

80:23Seriously, who cares about birthdays?

80:24It's how long your body's clock has been ticking,

80:27and how fast.

80:28So I could take a cheek swab from you today, Lex,

80:31take it back to my lab,

80:32and we then by tomorrow tell you

80:35how old you are biologically

80:36based on what we call the epigenetic clock.

80:40And you might be freaked out, you might be happy,

80:43but either way, we can advise you

80:45on how to improve the trajectory.

80:47'Cause we know that smoking increases

80:49the speed of that clock.

80:50We also know that fasting and people

80:52who eat the right foods have a slower clock.

80:55Without that knowledge, you're flying blind.

80:58But I like the idea of a swab 'cause it's just so easy.

81:01A lot of us have done something like that for COVID tests.

81:03It's not a big deal.

81:04- Yeah, I've been doing a nonstop rapid antigen test.

81:06So let me say that particular one, rapid antigen test,

81:11they've been a source of frustration for me

81:12because everybody should be doing it.

81:14It's so easy.

81:16- We've also been working in my lab

81:17on democratizing these tests

81:19to bring them down from a few hundred bucks to a dollar.

81:22- So just to clarify, you're talking about not research,

81:24you're talking about company stuff,

81:25like actual consumer-facing things?

81:28- Well, right.

81:29The research on bringing the price down

81:31has occurred in my lab at Harvard.

81:32And then that intellectual property is being licensed

81:35and has been licensed out to a company

81:37that will be consumer-facing.

81:40So anybody for a small amount of money can do this.

81:43- Well, you got subscriber number one obsessed.

81:46I think that's a beautiful, beautiful idea.

81:48So somebody who maybe I would have been more hesitant

81:51about it until COVID, but home tests are super easy.

81:56I almost wanted to share that data with the world,

81:59like in some way, not the entirety of the data,

82:01but like some visualization of like how I'm doing.

82:05Like, it's almost like, you know, when you share,

82:09if you had like a long run or something like that,

82:11I wish I could share, 'cause it inspires others.

82:14And then you can have a conversation about like,

82:16well, what are the hacks that you've tried?

82:18And have a conversation about like how to improve lifestyle

82:21and those kinds of things that's grounded in data.

82:23- That's exactly, that's what's gonna happen.

82:25Now, everything's anonymous, of course.

82:27We talked about security there,

82:29but once it's anonymized, you can then plot these numbers.

82:32And I've plotted my epigenetic age

82:35versus hundreds of other people who've taken this test now.

82:39And I can tell you where I fit relative to others

82:41in terms of my biological age.

82:43And I'm happy to share that with you all,

82:45'cause it's pretty low.

82:46You can choose to share it, of course,

82:48not everyone wants to share that.

82:50But when you go to the doctor,

82:52first of all, your doctor does treat you

82:54as though you're an average person,

82:55and none of us are average, there's no such thing.

82:58But second of all, we never know how we're doing

83:00relative to others, 'cause we all, most of us,

83:04we don't share our information.

83:05So we might have this number and that number,

83:08but do you know that your numbers

83:09are good for your age or not?

83:11You have no idea.

83:12Even your doctor probably doesn't even know.

83:14So this graph that I'm talking about

83:16is the beginning of a world where you can say,

83:18how am I doing?

83:19I'm a, for the two of us, we're white and we're male

83:22and we're this age, and we do this.

83:25Are we good?

83:27Are we doing the right things or the wrong things?

83:28Do we need to fix certain things?

83:30And this is what the future is.

83:32It's, forget about just experimenting

83:35and not knowing the result.

83:36I mean, who doesn't experiment

83:37and doesn't look at the data?

83:38No one, it makes no sense.

83:40So we're gonna enter a world

83:41where we have a dashboard on our body,

83:43the swabs, the blood tests, the biosensors,

83:46where our doctors can look at that,

83:48but we can also look at it and they can recommend,

83:51go to this restaurant down the road,

83:52they've got this great meal.

83:54It's high in whatever you need today,

83:56'cause you're lacking vitamin D and vitamin K too,

83:58go for it.

83:59- Ridiculous question, or perhaps not.

84:03If you look maybe 50 years from now

84:05or 100 years from now, a person born then,

84:07what do you think is a good goal

84:09in terms of how long a person would live?

84:12Like what is the maximum longevity

84:14that we can achieve through the methods

84:17that we have today of,

84:19or are developing some of the things

84:21we've been talking about

84:22in terms of genetics, in terms of biology?

84:26Is there a number?

84:28- Right, well, so it changes all the time

84:31because technology's changing so quickly.

84:33I keep revising the number upward,

84:36but I would say that if you do the right things

84:38during your life and start at an early age,

84:40let's say 25, we don't want malnutrition, starvation,

84:43that's not what I'm talking about,

84:45but in your 20s, start eating the kind of diets

84:48that I talked about, skipping meals.

84:51In animals, that gives you an extra 20 to 30%.

84:55We don't know if that's true for humans,

84:57and that would, even 5% more would be a good,

85:00a big deal for the planet.

85:03I think that we should all aim

85:05to at least reach a century.

85:06I'm a little bit behind.

85:09I was born too early to benefit the most

85:12from all of this discovery.

85:13Those of you who are in your 20s,

85:16you should definitely aim to reach 100.

85:18I don't see why not.

85:19Consider this, this is really important.

85:23The average lifespan of a human

85:25that looks after themselves but doesn't pay attention

85:28is about 80, okay?

85:31Japan, that's the average age for a male, a bit higher.

85:34If you do the right things in your life,

85:37which is eat healthy food, don't overeat,

85:41don't become obese, do a bit of exercise,

85:42get good sleep, and don't stress,

85:44that gives you, on average, 14 extra years.

85:47That gets you to 94.

85:49So getting to 100, if you just focus

85:51on what I'm talking about, it's not a big deal.

85:53So what's the maximum?

85:54Well, we know that one human made it to 122,

85:57and a number of them make it into their teens.

86:00I think that's also the next level

86:02of where we can get to with the types of technologies

86:06that I'm talking about.

86:07Medicines, like I mentioned rapamycin,

86:09there's one called metformin,

§11Transcript · 1:26:10–1:35:12

86:10which is the diabetes drug which I take.

86:14That, in combination with these lifestyle changes,

86:16should get us beyond 100.

86:18How long can we ultimately live?

86:19Well, there's no maximum limit to human lifespan.

86:22Why can a whale live 300 years, but we cannot?

86:24We're basically the same structure.

86:26We just need to learn from them.

86:27So anyone who says, "Oh, you max out at X,"

86:31I think is full of it.

86:33There's nothing that I've seen that says

86:35biological organisms have to die.

86:37There are trees that live for thousands of years,

86:39and their biochemistry is pretty close to ours.

86:42- What do you think it means to live for a very long time?

86:44Let's say if it's 200 years we're talking about,

86:47or 1,000 years.

86:48There's some sense, you could argue

86:54that there is immortal organisms already living on Earth.

86:58Like there's bacteria.

86:59So there's certain living organisms

87:03that in some fundamental way do not die,

87:07because they keep replicating their genetic information.

87:10They keep cloning themselves.

87:12Is it the same human if we can somehow persist

87:18the human mind, like copy-clone certain aspects,

87:23and just keep replacing body parts?

87:26Do you think that's another way to achieve immortality?

87:30To achieve a prolonged, sort of increased longevity

87:33is to replace the parts that break easily,

87:37and keep, 'cause actually from your theory

87:39of aging as a degradation of information,

87:44so an information theory view of aging,

87:46like what is the key information that makes a human?

87:51Can we persist that information,

87:53and just replace the trivial parts?

87:56- Yeah, I mean the short answer is yes.

87:59We're already replacing body parts,

88:01but what makes us human is our brain.

88:03Everything else is suboptimal except our brain.

88:07The ability to replace actual neurons is really hard.

88:13I think it might be easy to upload

88:16rather than replace neurons,

88:17because they're so tight, it's such a network,

88:20and just perturbing the system.

88:22You know, it's Schrödinger's cat.

88:25You change everything once you get in there.

88:28The problem is, well I guess the solution,

88:31let me go to the solution, that's more interesting.

88:34What we're learning is that

88:35if you reverse the age of nerve cells,

88:37it looks like they get their memories back.

88:41So the memories are not lost,

88:42they're just that the cells don't know how to interpret them

88:45and function correctly.

88:46And this is one of the things we're studying in my lab.

88:48If you take an old mouse that has learned something

88:50when it was young, but forgotten, does it get that back?

88:53And all evidence points to that being true.

88:56So I'd rather go in and rejuvenate the brain as it sits

88:59rather than replace individual cells,

89:01which would be really hard.

89:03- What do you think about efforts like Neuralink,

89:06which basically, you mentioned uploading,

89:10are trying to figure out,

89:11so creating brain-computer interfaces

89:13that are trying to figure out

89:14how to communicate with the brain.

89:16But one of the features of that

89:18is trying to record the human brain

89:20more and more accurately.

89:22Do you have hope for that to,

89:26of course, it will lead to us better understanding

89:30from a neuroscience perspective, the human mind,

89:33but do you have hope for it increasing longevity

89:36in terms of how it's used?

89:38- I think that it can help with certain diseases.

89:41But I see, at least within our lifetime,

89:42that's the best use of it,

89:43is to be able to replace parts of the body

89:46that are not functioning, such as the retina

89:49and other parts, the visual cortex back here.

89:51That's going to be doable.

89:53In terms of longevity,

89:55maybe we could put something on the hypothalamus

89:58and start secreting those hormones and get that back.

90:00Ultimately, I think the best way to preserve the brain

90:06is going to be to record it,

90:10but also, I think it's going to require death, unfortunately,

90:13to then do very detailed scans,

90:16even if you have enough time and money,

90:19atomic microscopy, and rebuild the brain from scratch.

90:22- Rebuild from scratch, yeah.

90:24We are living more and more in a digital world.

90:28I wonder if the scanning is good enough

90:31for the critical things in terms of memories,

90:34in terms of the particular quirks

90:36of your cognitive processes.

90:38- They're not.

90:38- We're not close, yes,

90:42but we've made quite a bit of progress.

90:44If you're an exponential type of person.

90:50- Well, let's dream a little here.

90:52- Yes, that's the point.

90:53- The way it would work, that I could see it working,

90:55is you take a single cell slice through your dead brain,

91:00and we can now, the problem with the engineering aspect

91:04is that the engineering is,

91:06the physical aspect of the brain is not even half the problem.

91:09The problem is which genes are switched on and off.

91:12This experience that we're having here

91:14is altering certain genes in neurons

91:18that will be preserved, hopefully, for a number of decades.

91:22But you cannot see that with a microscope easily.

91:25But there are technologies invented,

91:27actually, just down the hall in the building I'm at,

91:30George Church invented a way, his lab invented a way

91:33to look at which genes are switched on and off,

91:36not only in a single cell,

91:38which any lab can do these days,

91:40but in situ, where it's situated in the brain.

91:42So you can say, okay, this nerve cell

91:45had these genes switched on and these switched off,

91:47we can recreate that.

91:49But just scanning the brain

91:50and looking how the nerves are touching each other

91:52is not gonna do it.

91:53- Wow, okay, so you have to scan the full biology,

91:58the full details.

91:59- And look at the epigenome.

92:00- And the epigenome, too.

92:01- Yeah, which genes are on and off.

92:03It's just easier to reset the epigenome

92:05and get them to work like they used to.

92:07We're doing that now.

92:08- Use the hardware we already have,

92:09just figure out how to make that hardware last longer.

92:13- Right, ultimately, information will be lost.

92:15Even genetic information degrades slowly through mutation.

92:19So immortality is not achievable through that means,

92:22though I think we could potentially reset the body

92:25hundreds of times and live for thousands of years.

92:28- Okay, so we talked about biology.

92:31Let's, forgive me, but let's talk about philosophy

92:34for just a brief moment.

92:36So somebody I've enjoyed reading, Ernest Becker,

92:39wrote "The Denial of Death."

92:40There's also Martin Heidegger.

92:42There's a bunch of philosophers who claim

92:45that most people live life in denial of death.

92:51Sort of we don't fully internalize

92:56the idea that we're going to die.

93:04Because if we did, as they say,

93:06there will be a kind of terror of,

93:10I mean, a deep fear of death.

93:14The fact that we don't know what's,

93:17like we almost don't know what to do with non-existence,

93:22with disappearing.

93:24Like our, the way we draw meaning from life

93:28seems to be grounded in the fact that we exist

93:30and that we at some point will not exist is terrifying.

93:34And so we live in an illusion that we're not going to die

93:37and we run from that terror.

93:39That's what Ernest Becker would say.

93:41Do you think there's any truth to that?

93:44- Oh, I know there's truth to that.

93:45I experience it every day when I talk to people.

93:47We have to live that way.

93:49Although, unfortunately, I can't.

93:51But for most people, it's extremely distressing

93:56to think about their own mortality.

93:59We think about it occasionally.

94:00And if we really thought about it every day,

94:02we'd probably be brought to tears.

94:03How much we'd not just miss ourselves,

94:05but miss our family, our friends.

94:07We are of, all living life forms have evolved

94:11to not want to die.

94:14And when I mean want, biochemically, genetically, physically.

94:18That yeast cell, the cells that I studied at MIT,

94:21they were fighting for their lives.

94:23They didn't think.

94:25But our brain has evolved the same survival aspect.

94:28Of course, we don't want to die.

94:30But the problem for us, unfortunately,

94:32it's a curse and a blessing, is that we're now conscious.

94:34We know that we're going to die.

94:37Most species that have ever existed don't.

94:40That's a burden, that's a curse.

94:42And so what I think's happened is we've evolved, certainly,

94:44to want to live for a long time, perhaps never want to die.

94:49But the thought about dying is so traumatic

94:52that there is an innate part of our brains,

94:55and it's probably genetically wired, to not think about it.

95:00I really think that's part of being human.

95:03Because, you know, I think about tribes

95:05that obsessed with longevity every day

95:07and that were going to die.

95:09They probably didn't make much technological progress

95:12because they were just crying in their huts every day,

§12Transcript · 1:35:14–1:41:31

95:14or, you know, in the savanna.

95:16I really think that we've evolved to naturally deny aging.

95:20And it's one of the problems that I face in my career,

95:23and, you know, when I speak publicly and on social media,

95:26is that it's shocking.

95:28People don't want to think about their age,

95:29but I think it's getting better.

95:31I think my book has helped.

95:33These tests that we're developing should help people

95:36understand it's not a problem to think about

95:39your long-term health.

95:40In fact, if you don't, you're going to reach 80

95:42and really regret it.

95:43- And the other side of it, so again, Ernest Becker,

95:47but also Viktor Frankl,

95:49I recommend a highly manned social meeting.

95:51Bernard Williams is a moral philosopher.

95:54They kind of argue that this knowledge of death,

95:58even if we often don't contemplate it, we do at times.

96:03And the very, what you call the curse,

96:06which I agree with you, it's a curse and a blessing

96:10that we're able to contemplate our own mortality.

96:13That gives meaning to life.

96:16So death gives meaning to life.

96:18As what Viktor Frankl argues,

96:21I would probably argue the same.

96:22There's something about the scarcity of life

96:25and contemplating that,

96:27that makes each moment that much sweeter.

96:30Is there something to that?

96:32- I think it's individual.

96:33In my case, it's completely wrong.

96:35(laughing)

96:38- I appreciate you saying that.

96:39- I don't get joy out of every day

96:41because I think I'm going to die.

96:43I get joy out of every day because every day is joyous

96:46and I make it that way.

96:47And even if I thought I was going to live forever,

96:50I would still be enjoying this moment just as much.

96:53And I bet you would too.

96:56- Well, that's, I think about that a lot.

96:59I think it's very difficult to know.

97:03I'm almost afraid that I wouldn't enjoy it as much

97:06if I was immortal.

97:07I'm almost afraid to want to be immortal or to live longer

97:11because it perhaps is a kind of justification for me

97:18to accept that I'm going to die.

97:21It's saying like, oh, if I was immortal,

97:23I wouldn't be able to enjoy life as much as I do.

97:26But it's very possible that I wouldn't enjoy it

97:28just as much.

97:29Of course, enjoying life, whether you're mortal or not,

97:34takes work.

97:35Like it requires you to have the right kind of frame

97:38of mind.

97:39You can discover, you can focus your mind

97:42on the ugliness of life.

97:44There's plenty of ugly things in this world

97:46and you can focus on them.

97:47You can complain.

97:49Whenever, like, you know, if it's raining outside,

97:53you can focus on the fact that you have shelter

97:56and enjoy the hell out of it.

97:58Or you can enjoy running in the rain when it's warm

98:02and like the beauty of nature, just being one with nature.

98:05Or you can just complain,

98:06this fucking weather again in Boston.

98:08And then we see they're always raining or freezing, damn it.

98:11And like the same thing with like wifi going out

98:16on airplanes.

98:18Like you can either complain about like stupid wifi

98:23and JetBlue or something.

98:25Or you could say like how incredible it is

98:27that I can fly through the sky

98:29and in a matter of hours be anywhere else in the world.

98:31And then I could also on occasion watch,

98:34like check email and even watch movies

98:37while connecting through satellites

98:39that are flying through space.

98:40So it's a matter of perspective.

98:41And perhaps there's an extra level of work required

98:44when you're a mortal.

98:46Because it's easier when you're a mortal

98:48or live longer to be lazy, to delay stuff.

98:53But if you're not,

98:54you can still derive the same amount of joy.

98:56So it's possible, it's possible.

98:59- It's definitely possible.

98:59In my life, I went from being the,

99:02nothing's working to every day's great to wake up to.

99:06And I think even if you live,

99:08think you're going to live forever,

99:10you can enjoy every day.

99:12What I do is everything's relative.

99:14We can compare ourselves to our neighbor who has more money

99:17or to the flight that should have had wifi.

99:20Or which is what I do, I'm still six years old, remember.

99:23What a six year old does says,

99:25look, I can, when I tell my fingers to form a fist,

99:29they actually do that.

99:31That's really cool.

99:32That's how I live my life.

99:34I can pick up on your desk here, this metal object.

99:36It's a metal cube, about an inch by an inch by an inch.

99:39And I tell myself not about cubes,

99:42but about inanimate objects.

99:44Probably once a day I'll say,

99:46I'm a living thing.

99:48I can think, I can move, I can eat.

99:49I am full of energy.

99:51And there's that leaf or this cube here

99:53that will never be alive.

99:55That's what I look at and compare myself to.

99:59And for as long as I live, if it's forever,

100:01of course it won't be, but even if it was forever,

100:04the relative to this lump of metal on this table here,

100:07we are wondrous things in the universe.

100:10And probably the most wondrous things in the universe.

100:13Yeah, we're able to deeply appreciate the leaf or the cube

100:18and deeply appreciate ourselves,

100:20which is, it can be a curse, but it's mostly a gift.

100:24Especially when you're, it's such a beautiful poem.

100:28Now I'm six, I'm as clever as clever.

100:31So I think I'll be six now forever and ever.

100:35That's a good thing to aspire to.

100:37Your grandmother was onto something.

100:40David, this is a incredible conversation.

100:43I'm a huge fan of your work.

100:44So thank you for wasting your valuable time with me today.

100:49I really, really appreciate it.

100:50This was awesome.

100:51Thank you for having me on Lex, appreciate it.

100:54Thanks for listening to this conversation

100:55with David Sinclair.

100:56A thank you to Onnit, Clear, National Instruments,

101:01Simply Safe, and Linode.

101:03Check them out in the description to support this podcast.

101:07And now let me leave you with some words

101:08from Arthur Schopenhauer.

101:10All truth passes through three stages.

101:13First, it is ridiculed.

101:15Second, it is violently opposed.

101:18Third, it is accepted as being self-evident.

101:22Thank you for listening and hope to see you next time.

101:25[AUDIO OUT]

101:28[AUDIO OUT]

101:31you

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