WEBVTT - Kopi Time E149 - Longevity with Brian Kennedy

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<v Speaker 1>Hi, this is Kopi Time podcast series on markets and

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<v Speaker 1>economies from DBS Group Research. I'm Taiu Bei, chief economist,

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<v Speaker 1>welcoming you to our 149th episode.

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<v Speaker 1>Today we will discuss longevity with the foremost expert in

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<v Speaker 1>the field. Brian Kennedy is distinguished professor of biochemistry and

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<v Speaker 1>physiology at Yong Lu Lin School of Medicine at National

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<v Speaker 1>University of Singapore. He's also the director of the Center

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<v Speaker 1>for Healthy Longevity National University Health System. Professor Brian Kennedy,

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<v Speaker 1>welcome to Kobe time.

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<v Speaker 2>Thanks, pleasure to be

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<v Speaker 2>here.

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<v Speaker 1>It's great to have you. This is a subject close

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<v Speaker 1>to my heart. I was just telling you right before

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<v Speaker 1>this recording that all the 40-somethings and 50-somethings I know they're,

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<v Speaker 1>they're deep into this. So I will have a lot

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<v Speaker 1>of eager friends listening into this podcast. Uh prof, let's

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<v Speaker 1>begin by defining senescence.

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<v Speaker 2>Yeah, senescence is a, a term that gets used for

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<v Speaker 2>multiple meanings, and I think that's one of the reasons

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<v Speaker 2>that it's complicated for people to understand. So for instance,

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<v Speaker 2>when a uh salmon comes back into the fresh water

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<v Speaker 2>and dies, that's called senescence. Um, but I think most

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<v Speaker 2>people

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<v Speaker 2>In in today's discussion would refer to it as the

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<v Speaker 2>uh cessation of division of cells in your body, uh, so, uh,

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<v Speaker 2>cells can for a variety of different reasons, stop dividing

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<v Speaker 2>and enter into a senescent state. Uh, and in that

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<v Speaker 2>senescent state, they're no longer able to support regeneration of tissues,

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<v Speaker 2>but they still are live cells and they can secrete

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<v Speaker 2>factors that are pro-inflammatory.

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<v Speaker 2>No

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<v Speaker 2>Go ahead, please. No,

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<v Speaker 1>go ahead, no, no, I'm, I'm listening. Yeah,

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<v Speaker 2>so 11 thing senescence is therefore is to keep cells

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<v Speaker 2>from becoming cancer cells. So when something goes wrong in

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<v Speaker 2>a cell and it may be on its way to

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<v Speaker 2>being a tumor cell, the senescence pathway can be invoked

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<v Speaker 2>and that stops the cell from being able to divide.

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<v Speaker 2>So in a sense, it's anti-cancer.

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<v Speaker 2>On the other hand, these, these cells secrete pro-inflammatory factors

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<v Speaker 2>that influence cells around them and maybe even throughout the

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<v Speaker 2>body in some cases, if there's enough senescence and so

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<v Speaker 2>that can actually stimulate aging and cancer, so it's kind

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<v Speaker 2>of a trade-off.

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<v Speaker 1>Right, OK, so that's exactly where I was to jump into.

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<v Speaker 1>So the question I guess is, you know, so what

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<v Speaker 1>are the molecular hallmarks of aging? Is it, is it

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<v Speaker 1>the what you just described that the cells stop dividing

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<v Speaker 1>and then they may be secreting inflammatory material?

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<v Speaker 2>Yeah, I, I think we can list several different things

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<v Speaker 2>that are driving the aging process. Cells in essence is

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<v Speaker 2>certainly one of them. Um, the inability of your adult

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<v Speaker 2>stem cells to replenish their tissues, levels of inflammation in

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<v Speaker 2>the body, your telomeres, DNA damage, all of these things

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<v Speaker 2>probably contribute to the aging process.

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<v Speaker 2>Um, and, uh, it's still somewhat of a mystery to

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<v Speaker 2>put them in order and talk about how they contribute,

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<v Speaker 2>what percentage each of, each of them contributes. So I

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<v Speaker 2>think a better way of thinking about it is that

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<v Speaker 2>You have a a network in your body that maintains

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<v Speaker 2>health and it's kind of a homeostatic network, uh, and

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<v Speaker 2>this network can respond to things that happen in your body. You,

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<v Speaker 2>you know, you get out in the sun, you get

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<v Speaker 2>skin damage, you start eating a lot of fast food,

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<v Speaker 2>you know, your body adapts to that and it keeps

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<v Speaker 2>you healthy for the most part. But over time that

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<v Speaker 2>network breaks down, and when it breaks down,

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<v Speaker 2>These hallmarks of what you see, high levels of inflammation,

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<v Speaker 2>your stem cells don't work as well, so all of

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<v Speaker 2>a sudden the senescent burden goes way up. Um, and

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<v Speaker 2>so they're, they're telling you that aging is happening, but

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<v Speaker 2>I think preserving the network is really what we want

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<v Speaker 2>to do to keep people young, not, you know, treat

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<v Speaker 2>each hallmark separately. I think that that so far hasn't

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<v Speaker 2>worked very well.

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<v Speaker 1>And when does it begin? My son is 11 years old.

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<v Speaker 1>Clearly he is not going through the process of aging yet,

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<v Speaker 1>but would he at the age of 18, at 25,

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<v Speaker 1>is it hard to put a marker around that?

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<v Speaker 2>Well, I, I may even disagree with you. I think

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<v Speaker 2>we we recently did a biomarker study using DNA methylation

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<v Speaker 2>of 10,000 Singaporeans.

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<v Speaker 2>And we happened to have a birth cohort in that study,

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<v Speaker 2>so we were looking at newborn babies, and already we

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<v Speaker 2>can detect that baby boys were older than baby girls. Uh,

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<v Speaker 2>and so that suggests that maybe aging starts in the womb,

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<v Speaker 2>you know, and that already there's something happening that's different

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<v Speaker 2>between boys and girls.

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<v Speaker 2>Um, so, certainly during development, you don't see manifestations of aging,

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<v Speaker 2>you know, kids are getting stronger, they're getting smarter, their,

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<v Speaker 2>their brain is, is developing, um, and so, you know,

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<v Speaker 2>you begin to see the decline in aging in adulthood,

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<v Speaker 2>you know, maybe.

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<v Speaker 2>You know, starting around 30 maybe, but

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<v Speaker 2>And there may be parameters that are driving that aging

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<v Speaker 2>process that are not detectable, but happening throughout life.

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<v Speaker 1>And is the manifestation of aging first in cognition or

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<v Speaker 1>is it more physiological developments that you pick up as

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<v Speaker 1>signs of aging?

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<v Speaker 2>Well,

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<v Speaker 2>I, I think that a lot of people would say

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<v Speaker 2>that the ovarian aging is the first thing you really

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<v Speaker 2>see in women, so you, you know, you have a

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<v Speaker 2>decline in fertility starting in your 30s and

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<v Speaker 2>Uh, menopause somewhere in your 40s and 50s, um, that's

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<v Speaker 2>indicating that ovaries are, are aging, I think. Uh, also,

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<v Speaker 2>your thymus tends to undergo what's called involution, which leads

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<v Speaker 2>to a dramatic reduction in production of immune cells. So

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<v Speaker 2>those are two things that happen relatively early during the

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<v Speaker 2>aging process, um.

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<v Speaker 2>Muscle loss, you know, starts usually around 40 and people

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<v Speaker 2>say you, the average person loses about 1% muscle mass

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<v Speaker 2>a year after that. Um, cognitive decline, and, and actually

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<v Speaker 2>physical decline, it depends on how you measure it, you know,

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<v Speaker 2>you don't see a whole lot of 40 year old

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<v Speaker 2>athletes right at the top level.

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<v Speaker 2>Um, and already when you're measuring how fast like neurons

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<v Speaker 2>fire and connect, you know, it's already slowing down at

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<v Speaker 2>that point, but it's hard to measure because your body's,

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<v Speaker 2>like I said, is good at compensating, you know, so

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<v Speaker 2>it finds other ways to adapt to to to things

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<v Speaker 2>that are going a little bit slower and you don't

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<v Speaker 2>really notice that in your daily life. So, if you

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<v Speaker 2>really want to take really deep measures, you can already

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<v Speaker 2>start to see things in 30s and 40s, but

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<v Speaker 2>You know, in terms of actual functioning disease-free health, you know,

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<v Speaker 2>that's usually not until 50s and 60s where you begin

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<v Speaker 2>to see a significant decline.

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<v Speaker 1>I recall reading somewhere that in terms of physics and

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<v Speaker 1>pure mathematics, the pathbreaking discoveries come from scientists who are

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<v Speaker 1>in their late 20s, early 30s. They even the Nobel

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<v Speaker 1>laureates don't necessarily go through pathbreaking discoveries in the late

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<v Speaker 1>30s and 40s. I've heard about musicians that the really

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<v Speaker 1>brilliant musicians are much younger than the older ones.

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<v Speaker 2>Yeah, I think that that's certainly, it's certainly been well

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<v Speaker 2>uh defined for math and physics. Um, you know, biology

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<v Speaker 2>research is a little bit different because I have a

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<v Speaker 2>whole team of people working with me and so it's not.

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<v Speaker 2>You know, we may have a great discovery, I hope

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<v Speaker 2>we do, but whether it comes from my brain or

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<v Speaker 2>one of the young people's brains is debatable.

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<v Speaker 1>Um, Proff Kennedy, I have heard you talk, ah, in,

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<v Speaker 1>in public forum in, in terms of the distinction between

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<v Speaker 1>lifespan and health span, and really that I've also heard

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<v Speaker 1>you talk about this phrase, uh, compressed morbidity. So could

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<v Speaker 1>you help us sort of walk through these three things?

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<v Speaker 2>So, so healthspan is, it's a little bit hard to define,

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<v Speaker 2>but I think you can understand that. It's the period

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<v Speaker 2>of time that you're largely disease-free and that you're highly

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<v Speaker 2>functional in life, um.

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<v Speaker 2>And you typically that if the average lifespan in Singapore

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<v Speaker 2>is 85, the average health span would be around low 70s. Um,

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<v Speaker 2>and so there's a period of time, maybe a decade

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<v Speaker 2>on average, where people are alive, but they're not in

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<v Speaker 2>good health, or they're not functioning well, uh, and that

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<v Speaker 2>would be, that's where all the healthcare costs are and

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<v Speaker 2>that's where quality of life diminishes dramatically.

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<v Speaker 2>So if you have an intervention that uh compresses morbidity,

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<v Speaker 2>and we've published that with alphakitic glittering in mice, uh,

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<v Speaker 2>what you see is that the health span goes up

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<v Speaker 2>more than the lifespan. So it's, it causes a small

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<v Speaker 2>increase in lifespan, but a big increase in health span.

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<v Speaker 2>And so that period of time when you're sick and

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<v Speaker 2>have multi morbidity gets diminished, and so that's what compressed

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<v Speaker 2>morbidity is. And that's really what we would like to see, right?

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<v Speaker 2>Are you, you.

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<v Speaker 2>You know, jokingly, you'd like to be totally healthy and

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<v Speaker 2>then eventually get hit by a bus. I mean, there's,

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<v Speaker 2>I mean, maybe not, but you get the idea.

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<v Speaker 1>Yeah, I think, uh, Atul Goanes being mortal in the

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<v Speaker 1>very first chapter has something about like that his grandfather,

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<v Speaker 1>who was a lawyer till his 90s, basically, you know,

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<v Speaker 1>was healthy till the day he died because he got

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<v Speaker 1>hit by something like that.

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<v Speaker 1>Um, but, uh, I, you know, in WHO they have this, uh,

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<v Speaker 1>life expectancy adjusted marker called HAL, HALE Health adjusted life expectancy.

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<v Speaker 1>So is that the way to look at it then

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<v Speaker 1>that instead of looking at

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<v Speaker 2>that's one parameter you can use to try to measure

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<v Speaker 2>health span. I think there are different ways to look

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<v Speaker 2>at it, but, um, and like I said, it's there

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<v Speaker 2>I don't know if there's consensus on how to measure it,

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<v Speaker 2>but um.

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<v Speaker 2>That would be one parameter you could think of, yes.

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<v Speaker 1>I, I just like the fact that Singapore ranks number

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<v Speaker 1>one in the health adjusted life expectancy metric.

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<v Speaker 2>Yeah, I mean, Singapore is doing quite well, and you know,

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<v Speaker 2>what I hope is that they really make a commitment

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<v Speaker 2>to healthy longevity because the the time is right to

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<v Speaker 2>do that and this island could be the, the model

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<v Speaker 2>case for really extending health span because uh there's a

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<v Speaker 2>lot of things going in advantage for Singapore, uh, it's small, manageable, um,

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<v Speaker 2>already have good healthcare system.

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<v Speaker 2>Uh, and I think there's also a population that believes

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<v Speaker 2>in the government. So when the government takes the lead

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<v Speaker 2>on something, people will follow, you know, you, you could

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<v Speaker 2>say anything in the US you could say.

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<v Speaker 2>You know, drink 3 cups of water a day or

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<v Speaker 2>more and then half the population would disagree with you

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<v Speaker 2>on my definitions

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<v Speaker 1>for sure, absolutely, uh, I want to talk in greater

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<v Speaker 1>detail about Singapore uh later. I just want to cover

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<v Speaker 1>a couple of things first with you. Uh, when I

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<v Speaker 1>told my wife that, you know, I was gonna

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<v Speaker 1>Discuss with you this this health span lifespan issue. She

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<v Speaker 1>basically said, well, it's largely genetics. So is it largely

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<v Speaker 1>genetics or and she's a polysci PhD, so let's not

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<v Speaker 1>necessarily give her full credence. You, the expert, tell me

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<v Speaker 1>whether the genetics versus environment, how much do these things matter?

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<v Speaker 2>How much trouble am I going to get if I

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<v Speaker 2>disagree with her she has a very old you get.

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<v Speaker 2>Um, there's certainly a genetic component, but most research suggests

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<v Speaker 2>that it's relatively small, maybe 30% of the, of the equation,

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<v Speaker 2>and the rest of it is sort of lifestyle environment,

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<v Speaker 2>where you live, how you live.

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<v Speaker 2>Um, and that it is very important. Now, there's an

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<v Speaker 2>exception to that though. There are people that live to

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<v Speaker 2>be centenarians. Um, they chose, they got there by choosing

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<v Speaker 2>the right parents. Uh, that's very genetic when, so people

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<v Speaker 2>with exceptional longevity have the right genetics, but this is

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<v Speaker 2>extremely rare. The, the vast majority of us, um, uh,

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<v Speaker 2>environment and lifestyle are probably more important.

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<v Speaker 2>But this,

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<v Speaker 1>this genetic lottery fascinates me. I'll give you my personal example.

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<v Speaker 1>My mom, she's no longer with us. She had all

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<v Speaker 1>sorts of morbidities, even at a fairly young age, diabetes

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<v Speaker 1>related morbidity and so on in her 60s. My dad

0:12:11.989 --> 0:12:15.219
<v Speaker 1>still around 90+. We had his 90th birthday last year.

0:12:15.320 --> 0:12:18.669
<v Speaker 1>Fingers crossed, he lives longer, and he has never really

0:12:18.669 --> 0:12:21.119
<v Speaker 1>stressed out about, you know, the right diet or the

0:12:21.119 --> 0:12:24.270
<v Speaker 1>right pills, whereas my mom who did pass away, actually

0:12:24.270 --> 0:12:25.349
<v Speaker 1>was far more worried about her

0:12:25.349 --> 0:12:26.228
<v Speaker 2>health. Yeah.

0:12:26.729 --> 0:12:28.530
<v Speaker 2>Well, there's two things I would say to that. One

0:12:28.530 --> 0:12:32.210
<v Speaker 2>is that, uh, centenarians don't typically live well, that they

0:12:32.210 --> 0:12:35.130
<v Speaker 2>have the genetics, right? So they, if you look at them,

0:12:35.169 --> 0:12:37.250
<v Speaker 2>they were more likely to be a little bit overweight. Now,

0:12:37.289 --> 0:12:39.729
<v Speaker 2>they weren't like crazy obese, but they were more likely

0:12:39.729 --> 0:12:43.169
<v Speaker 2>to be a little bit overweight. Uh, and near Barzilai's

0:12:43.169 --> 0:12:46.569
<v Speaker 2>study of Ashkenazi Jews, they're slightly more likely to be

0:12:46.570 --> 0:12:50.000
<v Speaker 2>smoking than than the po you know, so they have

0:12:50.000 --> 0:12:52.320
<v Speaker 2>the right genetics, they're resistant, um.

0:12:53.000 --> 0:12:54.510
<v Speaker 2>I would also say that.

0:12:55.559 --> 0:12:59.209
<v Speaker 2>I, I think it's great to be uh very alert

0:12:59.210 --> 0:13:01.900
<v Speaker 2>to a healthy lifestyle and doing your best to live

0:13:01.900 --> 0:13:04.380
<v Speaker 2>a healthy life, but I don't think worrying about it

0:13:04.380 --> 0:13:06.940
<v Speaker 2>constantly is a good thing. And so, you know, I,

0:13:07.020 --> 0:13:10.539
<v Speaker 2>I think that sometimes people forget the, the, the level

0:13:10.539 --> 0:13:14.059
<v Speaker 2>that stress plays in their aging, uh, and trying to

0:13:14.059 --> 0:13:17.299
<v Speaker 2>manage your stress, um, is, is critical. It's hard for

0:13:17.299 --> 0:13:20.700
<v Speaker 2>us to study that in animals, but I'm convinced it's

0:13:20.700 --> 0:13:23.940
<v Speaker 2>a critical component of aging, the mindset, you know.

0:13:24.299 --> 0:13:26.929
<v Speaker 2>And so you said father, not worrying, and he seems

0:13:26.929 --> 0:13:29.330
<v Speaker 2>to like go through life and take things kind of

0:13:29.330 --> 0:13:32.369
<v Speaker 2>as they come, maybe yeah, your father's worried that could

0:13:32.369 --> 0:13:33.330
<v Speaker 2>have been a factor.

0:13:33.950 --> 0:13:34.210
<v Speaker 2>Right.

0:13:34.609 --> 0:13:36.549
<v Speaker 1>Um, OK, so let's talk about the things that we

0:13:36.549 --> 0:13:40.119
<v Speaker 1>can control, um, you know, diet, this issue has been

0:13:40.119 --> 0:13:42.340
<v Speaker 1>around for maybe half a century, and there is my mother,

0:13:42.349 --> 0:13:48.340
<v Speaker 1>so exactly. So since we can't control our father and mother, uh,

0:13:48.559 --> 0:13:50.119
<v Speaker 1>the things that we can, let's talk a little bit

0:13:50.119 --> 0:13:53.819
<v Speaker 1>about diet and exercise, the two things that, you know,

0:13:54.000 --> 0:13:57.039
<v Speaker 1>a lot of people talk about, where do we stand

0:13:57.039 --> 0:13:59.950
<v Speaker 1>in terms of scientific zeitgeist in these two areas?

0:14:00.440 --> 0:14:00.679
<v Speaker 2>Let's

0:14:00.679 --> 0:14:02.919
<v Speaker 2>start with exercise because I think it's a little bit

0:14:02.919 --> 0:14:04.280
<v Speaker 2>of an easier discussion.

0:14:04.700 --> 0:14:10.630
<v Speaker 2>Um, you do it. If some combination of resistance training

0:14:10.630 --> 0:14:15.030
<v Speaker 2>and cardiovascular training is probably good for everybody. Um, it's

0:14:15.030 --> 0:14:17.150
<v Speaker 2>important to try to do both, as as you get older,

0:14:17.190 --> 0:14:19.549
<v Speaker 2>you wanna try to maintain that muscle mass. So one

0:14:19.549 --> 0:14:21.349
<v Speaker 2>of the most important things you can do is keep

0:14:21.349 --> 0:14:26.109
<v Speaker 2>your muscle mass. Um, but, you know, cardiovascular health is

0:14:26.109 --> 0:14:28.979
<v Speaker 2>obviously good for your heart and your vascular system, and

0:14:29.260 --> 0:14:32.890
<v Speaker 2>And a range of other systems as well. So, uh, the,

0:14:32.929 --> 0:14:36.650
<v Speaker 2>the key to me is sustainability, you know, and trying

0:14:36.650 --> 0:14:40.570
<v Speaker 2>to find exercise programs that fit your needs. If you're

0:14:40.570 --> 0:14:43.010
<v Speaker 2>doing something and you don't like it, you're, you're gonna

0:14:43.010 --> 0:14:47.119
<v Speaker 2>stop doing it. I just be honest, you know. So, um,

0:14:47.609 --> 0:14:50.090
<v Speaker 2>for me, you know, I enjoy running. I, I kind

0:14:50.090 --> 0:14:52.059
<v Speaker 2>of get my mindfulness from running.

0:14:52.559 --> 0:14:56.419
<v Speaker 2>It's, it's meditative almost for me as well. Um, and

0:14:56.419 --> 0:14:58.659
<v Speaker 2>so it's very good for me, and then I for

0:14:58.659 --> 0:15:02.119
<v Speaker 2>I forced myself to go do weightlifting, and I've, I've

0:15:02.119 --> 0:15:03.900
<v Speaker 2>learned to live with it. I don't love it, but

0:15:03.900 --> 0:15:06.260
<v Speaker 2>I don't hate it either, and so, and I feel

0:15:06.260 --> 0:15:09.619
<v Speaker 2>good after I, I complete it, so, uh, and I

0:15:09.619 --> 0:15:12.940
<v Speaker 2>can see the benefit of doing it over the long term, so.

0:15:13.700 --> 0:15:16.090
<v Speaker 2>You know, that that for me is what works, but if,

0:15:16.099 --> 0:15:18.890
<v Speaker 2>if tennis works for you, that's great. The the key

0:15:18.890 --> 0:15:21.979
<v Speaker 2>is find something that's sustainable.

0:15:24.729 --> 0:15:27.809
<v Speaker 1>The um one point that I wanted, sorry, I, did

0:15:27.809 --> 0:15:30.929
<v Speaker 1>I lose you? you can hear me, right? Yeah, um,

0:15:31.169 --> 0:15:32.489
<v Speaker 1>we're going to get your diet for a second. I

0:15:32.489 --> 0:15:35.049
<v Speaker 1>just want to share with you my personal slightly off-track

0:15:35.049 --> 0:15:37.369
<v Speaker 1>observation on this issue. I also like to run. I

0:15:37.369 --> 0:15:39.789
<v Speaker 1>also like the fact that during running all sorts

0:15:39.840 --> 0:15:42.460
<v Speaker 1>A serendipitous thing can happen. I was in Dubai yesterday.

0:15:42.669 --> 0:15:46.109
<v Speaker 1>I went running and I saw two peacocks flexing their

0:15:46.109 --> 0:15:50.109
<v Speaker 1>plumes in just all glory. If I were driving or biking,

0:15:50.150 --> 0:15:51.950
<v Speaker 1>I would not have seen that, and that that delight,

0:15:52.030 --> 0:15:55.739
<v Speaker 1>I think will sustain my running habit for years to come. Yeah,

0:15:55.869 --> 0:15:59.950
<v Speaker 2>I run outside instead of treadmills almost I only run

0:15:59.950 --> 0:16:02.150
<v Speaker 2>on a treadmill if there's no other choice because I

0:16:02.150 --> 0:16:04.849
<v Speaker 2>think you're right, you experience the world being outside running

0:16:04.849 --> 0:16:05.229
<v Speaker 2>and

0:16:05.640 --> 0:16:07.840
<v Speaker 2>Although I did try to run in Dubai last summer

0:16:07.840 --> 0:16:09.520
<v Speaker 2>and that was, that didn't go well.

0:16:12.010 --> 0:16:15.130
<v Speaker 1>December, January, February is what you want to do. Yeah, absolutely. Um,

0:16:15.320 --> 0:16:18.700
<v Speaker 1>you had mentioned about the muscle loss aspect, about 1%

0:16:18.700 --> 0:16:22.400
<v Speaker 1>muscle loss in your 40s onward, uh, so resistance training

0:16:22.400 --> 0:16:23.679
<v Speaker 1>is something that you would want.

0:16:23.765 --> 0:16:25.895
<v Speaker 1>People in their 40s onward to focus on as well,

0:16:26.034 --> 0:16:28.234
<v Speaker 2>yeah, for sure. And also it's good for your bones,

0:16:28.354 --> 0:16:30.635
<v Speaker 2>you know, one of the things that maintains bone density

0:16:30.635 --> 0:16:33.955
<v Speaker 2>is putting resistance on your bones, you know, putting load

0:16:33.955 --> 0:16:38.205
<v Speaker 2>on your bones. And so, um, when you're doing uh

0:16:38.395 --> 0:16:40.914
<v Speaker 2>resistance training, you're not only helping your muscle but your

0:16:40.914 --> 0:16:41.875
<v Speaker 2>bones as well.

0:16:42.950 --> 0:16:46.349
<v Speaker 1>Shouldn't dairy also help with respect to bone? Got lots

0:16:46.349 --> 0:16:47.059
<v Speaker 1>of calcium?

0:16:47.789 --> 0:16:51.429
<v Speaker 2>Uh, dairy is complicated. Um, you want to maintain the

0:16:51.429 --> 0:16:55.510
<v Speaker 2>appropriate calcium levels for sure, uh, as you age. Um,

0:16:55.669 --> 0:17:01.099
<v Speaker 2>a lot of studies suggest that very high dairy, accelerates aging. Um,

0:17:01.349 --> 0:17:04.390
<v Speaker 2>there are a lot of, uh, observational studies in, in

0:17:04.390 --> 0:17:05.819
<v Speaker 2>humans to suggest that.

0:17:06.189 --> 0:17:09.188
<v Speaker 2>Uh, so I tend to, I keep to a very

0:17:09.189 --> 0:17:12.069
<v Speaker 2>low dairy diet. I eat yogurt and I, I will

0:17:12.069 --> 0:17:17.629
<v Speaker 2>eat cheese sometimes, but I don't drink milk, uh, at all. So, but,

0:17:18.030 --> 0:17:19.829
<v Speaker 2>you know, how your body reacts to that and what

0:17:19.829 --> 0:17:22.420
<v Speaker 2>happens to your calcium levels is something you should be measuring,

0:17:22.430 --> 0:17:25.270
<v Speaker 2>and this is, this is one point I would like

0:17:25.270 --> 0:17:28.150
<v Speaker 2>to make is that people ask me about supplements and

0:17:28.150 --> 0:17:30.459
<v Speaker 2>vitamins and all of all of these things.

0:17:31.050 --> 0:17:33.290
<v Speaker 2>Well, you need to know where you are on this equation.

0:17:33.410 --> 0:17:34.810
<v Speaker 2>You need to be able to, you need to know

0:17:34.810 --> 0:17:38.489
<v Speaker 2>your vitamin levels. You need to know your meta metabolic levels, and,

0:17:38.810 --> 0:17:41.050
<v Speaker 2>you know, we, and now we have a clinical aging

0:17:41.050 --> 0:17:43.810
<v Speaker 2>clock where we can measure your biologic age based on

0:17:43.810 --> 0:17:48.040
<v Speaker 2>50 clinical variables that everybody should be getting anyway. You know,

0:17:48.089 --> 0:17:52.290
<v Speaker 2>it's uh it's LDL and inflammatory factors and so if you're,

0:17:52.369 --> 0:17:55.000
<v Speaker 2>if you're one of these people that likes to do interventions,

0:17:55.089 --> 0:17:57.869
<v Speaker 2>whether it's lifestyle or supplements or drugs, a lot of

0:17:57.869 --> 0:17:59.280
<v Speaker 2>people are taking rapamycin.

0:17:59.550 --> 0:18:03.819
<v Speaker 2>You should be measuring outcomes as well and and trying

0:18:03.819 --> 0:18:06.649
<v Speaker 2>to find the strategy that works best for you, uh,

0:18:06.699 --> 0:18:09.520
<v Speaker 2>and I think a lot of people, uh, I think

0:18:09.520 --> 0:18:12.140
<v Speaker 2>I always actually I think my my God, I don't

0:18:12.140 --> 0:18:12.520
<v Speaker 2>know what your levels.

0:18:15.609 --> 0:18:16.010
<v Speaker 2>These are.

0:18:18.790 --> 0:18:21.959
<v Speaker 1>Um, prof, we sort of lost you in the last

0:18:21.959 --> 0:18:24.569
<v Speaker 1>30 seconds. Just let's just uh go back to that

0:18:24.569 --> 0:18:27.170
<v Speaker 1>point of the, uh, after you talked about dairy, but

0:18:27.170 --> 0:18:29.689
<v Speaker 1>the 30, 40 things that you can do to test

0:18:29.689 --> 0:18:32.209
<v Speaker 1>your vitamin levels, that part, let's repeat that part.

0:18:33.579 --> 0:18:37.170
<v Speaker 2>Yeah, so we recently generated a clinical chemistry clock that

0:18:37.170 --> 0:18:40.709
<v Speaker 2>predicts your biologic age, and it does so from about

0:18:40.709 --> 0:18:44.599
<v Speaker 2>40 or 50 analytes that you commonly get when you get, uh,

0:18:44.609 --> 0:18:47.649
<v Speaker 2>go to a doctor's office or hospital. And these are

0:18:47.650 --> 0:18:50.569
<v Speaker 2>things you should be doing all the time, measuring these factors.

0:18:50.930 --> 0:18:54.810
<v Speaker 2>These things like HbA1C, LDL, inflammatory factors.

0:18:55.170 --> 0:18:58.899
<v Speaker 2>Um, and you should know what those are, and if

0:18:58.900 --> 0:19:01.369
<v Speaker 2>you have them, we can also tell you your biologic age,

0:19:01.800 --> 0:19:04.859
<v Speaker 2>but you should also know your vitamin levels. Typically these

0:19:04.859 --> 0:19:08.500
<v Speaker 2>things are not measured, um, and people ask me, should

0:19:08.500 --> 0:19:12.198
<v Speaker 2>I take vitamin D or B complex, and I, I'm like,

0:19:12.260 --> 0:19:16.079
<v Speaker 2>I don't know, what are your levels? And they don't know. So, uh,

0:19:16.260 --> 0:19:19.140
<v Speaker 2>you should measure yourself and, and pay attention to how

0:19:19.140 --> 0:19:22.339
<v Speaker 2>you're doing, uh, before you just start taking a bunch

0:19:22.339 --> 0:19:23.329
<v Speaker 2>of different things.

0:19:24.050 --> 0:19:26.160
<v Speaker 1>All right, let's go to the broader issue of diet,

0:19:26.239 --> 0:19:28.719
<v Speaker 1>which you already have sort of foreshadowed that it's a

0:19:28.719 --> 0:19:31.599
<v Speaker 1>bit complex. um, what should one be eating and what

0:19:31.599 --> 0:19:32.599
<v Speaker 1>should one be avoiding?

0:19:33.260 --> 0:19:35.729
<v Speaker 2>Yeah, I mean, this is still highly debated. You can

0:19:35.729 --> 0:19:38.510
<v Speaker 2>find experts that will say just about anything. I think

0:19:38.510 --> 0:19:41.609
<v Speaker 2>the two common diets that people talk about for aging

0:19:41.609 --> 0:19:46.160
<v Speaker 2>are a vegetable rich diet, uh, that's low in, uh,

0:19:46.170 --> 0:19:51.939
<v Speaker 2>red meat and dairy, uh, kind of a Mediterranean diet, um, and, uh,

0:19:51.959 --> 0:19:54.250
<v Speaker 2>and that's the one I tend to believe in, uh,

0:19:54.339 --> 0:19:57.729
<v Speaker 2>and then there is another group that are very keto-oriented,

0:19:57.810 --> 0:20:01.410
<v Speaker 2>so they're like high protein, high fat, no carbs, um.

0:20:03.199 --> 0:20:07.170
<v Speaker 2>I think that that keto diet probably makes people lose weight,

0:20:08.060 --> 0:20:13.859
<v Speaker 2>but it also unbalances your uh uh nutrition such that

0:20:13.859 --> 0:20:18.260
<v Speaker 2>your body has to make relatively serious adaptation to what

0:20:18.260 --> 0:20:21.380
<v Speaker 2>it needs, and I think over the long term, most

0:20:21.380 --> 0:20:24.739
<v Speaker 2>of the evidence suggests that having high amino acid levels

0:20:24.739 --> 0:20:29.260
<v Speaker 2>accelerates aspects of aging, uh, whereas if you look at

0:20:29.260 --> 0:20:31.140
<v Speaker 2>the animal models where you keep

0:20:31.680 --> 0:20:35.599
<v Speaker 2>Uh, calorie and take uh isochlorine, so you're, we're not

0:20:35.599 --> 0:20:40.040
<v Speaker 2>changing total calories, and then you change macronutrients, it's actually

0:20:40.040 --> 0:20:43.520
<v Speaker 2>high carb, low protein that's associated with longer lifespan.

0:20:44.390 --> 0:20:46.589
<v Speaker 2>But there are two caveats to that. One is that

0:20:46.589 --> 0:20:49.859
<v Speaker 2>it's complex carbs, not simple sugars. I think those are,

0:20:49.989 --> 0:20:53.708
<v Speaker 2>are not good for you. Um, the other is that

0:20:53.709 --> 0:20:56.989
<v Speaker 2>for humans, if you say you're eating a diet rich

0:20:56.989 --> 0:21:00.959
<v Speaker 2>in carbohydrates, you're probably getting way too many calories. Carbohydrates

0:21:00.959 --> 0:21:03.339
<v Speaker 2>is the fastest way to over nutrition, and I think

0:21:03.339 --> 0:21:06.550
<v Speaker 2>that's why people perceive it as bad. But if you're

0:21:06.550 --> 0:21:09.280
<v Speaker 2>eating complex carbs and you're not eating too many calories,

0:21:09.310 --> 0:21:10.979
<v Speaker 2>it's probably not bad for you.

0:21:13.489 --> 0:21:16.209
<v Speaker 1>But when I think of diet in this part of

0:21:16.209 --> 0:21:18.689
<v Speaker 1>the world, there's a lot of noodles or rice in

0:21:18.689 --> 0:21:21.910
<v Speaker 1>people's diet. Those are pretty simple carbs, right? Yeah,

0:21:22.780 --> 0:21:25.050
<v Speaker 2>well, especially white rice. That's why there's been a lot

0:21:25.050 --> 0:21:27.319
<v Speaker 2>of movement to have brown rice or other types of

0:21:27.319 --> 0:21:31.599
<v Speaker 2>rice that are maintaining some of their nutrient richness.

0:21:32.880 --> 0:21:34.810
<v Speaker 1>And I'm I'm, I'm I'm smiling a little bit because

0:21:34.810 --> 0:21:37.050
<v Speaker 1>as you said, that these days you can hear just

0:21:37.050 --> 0:21:37.869
<v Speaker 1>about every

0:21:38.064 --> 0:21:41.425
<v Speaker 1>Variety of arguments in this regard, so in uh social

0:21:41.425 --> 0:21:45.545
<v Speaker 1>media right now, there's a whole anti-brown rice movement about

0:21:45.545 --> 0:21:47.224
<v Speaker 1>how brown rice is bad and we should be eating

0:21:47.224 --> 0:21:50.344
<v Speaker 1>white rice, not really sure how scientific those observations are,

0:21:50.425 --> 0:21:51.744
<v Speaker 1>but to your point there.

0:21:51.844 --> 0:21:53.823
<v Speaker 2>I don't know the details of that argument, but like

0:21:53.824 --> 0:21:56.104
<v Speaker 2>I said, I, I'm sure we could find somebody that

0:21:56.104 --> 0:21:58.744
<v Speaker 2>advocates for the milkshake diet if we looked hard enough.

0:22:00.385 --> 0:22:02.665
<v Speaker 2>This field is, is, um.

0:22:03.319 --> 0:22:05.880
<v Speaker 2>Well, it's not, we have a rough idea of what

0:22:05.880 --> 0:22:08.209
<v Speaker 2>people should do for health, but you know, there's a

0:22:08.209 --> 0:22:10.879
<v Speaker 2>lot of details that we don't have good research on

0:22:10.880 --> 0:22:11.479
<v Speaker 2>and

0:22:12.030 --> 0:22:15.540
<v Speaker 2>A lot of serious scientists try to understand what's good

0:22:15.540 --> 0:22:17.199
<v Speaker 2>for you and what's bad for you, and then on

0:22:17.199 --> 0:22:19.000
<v Speaker 2>top of that, there's a lot of people trying to

0:22:19.000 --> 0:22:21.560
<v Speaker 2>make money that are advocating for things that may not

0:22:21.560 --> 0:22:24.319
<v Speaker 2>have a lot of science behind them. So, I, I,

0:22:24.400 --> 0:22:27.369
<v Speaker 2>I get it. I understand when people are trying to

0:22:27.369 --> 0:22:30.280
<v Speaker 2>do healthy longevity, it's not as easy as it sounds

0:22:30.280 --> 0:22:33.589
<v Speaker 2>because depending on who you read and, and, and what

0:22:33.589 --> 0:22:36.839
<v Speaker 2>nutrition religion you brought to you, you may be doing

0:22:36.839 --> 0:22:38.349
<v Speaker 2>completely different things, so.

0:22:39.270 --> 0:22:43.089
<v Speaker 1>So let's talk about the science of slowing or even

0:22:43.089 --> 0:22:48.689
<v Speaker 1>reversing aging. You run a lab. You have talked in

0:22:48.689 --> 0:22:52.229
<v Speaker 1>public forum a lot about alpha keto glutarates and also,

0:22:52.250 --> 0:22:56.010
<v Speaker 1>if I'm pronouncing it right, spermmis. Tell us a little

0:22:56.010 --> 0:22:57.199
<v Speaker 1>bit about these two molecules.

0:22:57.920 --> 0:23:00.369
<v Speaker 2>Yeah, so, and, and I think that's just two of

0:23:00.369 --> 0:23:02.929
<v Speaker 2>a bunch of different molecules. I'll start with AKG cause

0:23:02.930 --> 0:23:06.469
<v Speaker 2>we've done a lot of research on it. Um, and,

0:23:06.530 --> 0:23:08.729
<v Speaker 2>and actually we have a product on the market called

0:23:08.729 --> 0:23:12.669
<v Speaker 2>Rejuin that has ato glutarate, it's time release version, plus

0:23:12.670 --> 0:23:17.770
<v Speaker 2>some vitamins, uh, full disclosure, I'm involved with that company, um.

0:23:18.739 --> 0:23:23.180
<v Speaker 2>But, uh, what, this is a central metabolite in the body.

0:23:23.260 --> 0:23:26.140
<v Speaker 2>You may have heard of NAD, that's another central metabolite.

0:23:26.180 --> 0:23:30.409
<v Speaker 2>These things are important for hundreds of reactions in the cell. Basically,

0:23:30.500 --> 0:23:32.939
<v Speaker 2>they're important for metabolism and

0:23:33.880 --> 0:23:36.099
<v Speaker 2>Excuse me, the levels go down with aging?

0:23:36.939 --> 0:23:39.959
<v Speaker 2>Uh, and if you bring the levels back up, uh,

0:23:40.020 --> 0:23:45.448
<v Speaker 2>you can improve aspects of health span or life span. Uh, so, uh,

0:23:45.459 --> 0:23:48.139
<v Speaker 2>I think that there's pretty good evidence for both of

0:23:48.140 --> 0:23:53.020
<v Speaker 2>those molecules. Uh, it's hard with NAD back up because

0:23:53.020 --> 0:23:57.060
<v Speaker 2>you can't take pills with NAD, um, so that, so

0:23:57.060 --> 0:24:00.500
<v Speaker 2>people do precursors, uh, with NM or you know things

0:24:00.500 --> 0:24:02.010
<v Speaker 2>that are converted to NAD.

0:24:03.000 --> 0:24:07.229
<v Speaker 2>But even NMR don't get good bioavailability, so you, you

0:24:07.229 --> 0:24:09.420
<v Speaker 2>swallow a pill, very, not that much of it gets

0:24:09.420 --> 0:24:13.099
<v Speaker 2>in the bloodstream. Um, there are ways around it. Now

0:24:13.099 --> 0:24:16.060
<v Speaker 2>there's a company that I'm helping out called IX BioPharma

0:24:16.060 --> 0:24:19.300
<v Speaker 2>that has a sublingual NAD, so this is directly NAD

0:24:19.660 --> 0:24:23.849
<v Speaker 2>and it goes directly into the bloodstream that way. Uh, so, uh,

0:24:24.060 --> 0:24:28.500
<v Speaker 2>those two, those two, metabolites are probably very important for aging.

0:24:29.000 --> 0:24:33.310
<v Speaker 2>Uh, spermidine is a natural product, uh, and it activates

0:24:33.310 --> 0:24:37.938
<v Speaker 2>autophagy in itself. Uh, and so autophagy is kind of a, a,

0:24:37.969 --> 0:24:41.760
<v Speaker 2>a garbage collection service for your cells. It takes the

0:24:41.760 --> 0:24:47.359
<v Speaker 2>damaged proteins and organelles and recycles the recycles them into, uh,

0:24:47.369 --> 0:24:51.640
<v Speaker 2>primary ingredients that can make new proteins, uh, and it's

0:24:51.640 --> 0:24:53.958
<v Speaker 2>important to clear out the damage in your cells and

0:24:53.959 --> 0:24:56.050
<v Speaker 2>if you can enhance autophagy.

0:24:56.449 --> 0:24:59.389
<v Speaker 2>It's typically good for aging as well, spermidine is one

0:24:59.390 --> 0:25:00.849
<v Speaker 2>of the molecules that does that.

0:25:01.670 --> 0:25:03.890
<v Speaker 2>But there are a lot of other natural products that

0:25:03.890 --> 0:25:07.290
<v Speaker 2>I think are impacting aging, and we tend to uh

0:25:07.290 --> 0:25:10.920
<v Speaker 2>believe that a lot of people believe that supplements are

0:25:12.089 --> 0:25:15.010
<v Speaker 2>kind of all snake oil and uh again, it's a,

0:25:15.089 --> 0:25:19.060
<v Speaker 2>it's a very, it's a profit-driven market, so, you know,

0:25:19.130 --> 0:25:20.810
<v Speaker 2>it's kind of the wild west, but I think there

0:25:20.810 --> 0:25:23.719
<v Speaker 2>are a lot of good ingredients in there that help people.

0:25:24.119 --> 0:25:26.099
<v Speaker 2>The most important thing we need to do is figure

0:25:26.099 --> 0:25:29.930
<v Speaker 2>out which people respond to which supplements or drugs or

0:25:29.930 --> 0:25:33.639
<v Speaker 2>lifestyle changes, any of these things, and improve their aging,

0:25:33.650 --> 0:25:36.329
<v Speaker 2>and right now we're still trying to figure that out.

0:25:36.410 --> 0:25:40.040
<v Speaker 2>How do we personalize this? Um, you know, it's I,

0:25:40.290 --> 0:25:42.689
<v Speaker 2>instead of telling everybody to take 10 different things or

0:25:42.689 --> 0:25:45.410
<v Speaker 2>every everybody to take one thing, we, we really wanna

0:25:45.410 --> 0:25:49.310
<v Speaker 2>know which person needs which intervention and, and that, I

0:25:49.310 --> 0:25:50.879
<v Speaker 2>don't think we're there yet as a field.

0:25:51.859 --> 0:25:56.489
<v Speaker 1>And your scientific approach is to try these things on

0:25:56.489 --> 0:25:59.719
<v Speaker 1>mice and then try it on humans, or is there

0:25:59.719 --> 0:26:00.540
<v Speaker 1>something in between?

0:26:01.300 --> 0:26:03.439
<v Speaker 2>Well, we use a whole range of bottles, so we

0:26:03.439 --> 0:26:08.000
<v Speaker 2>use uh uh yeast, worms, flies, killifish, which are these

0:26:08.000 --> 0:26:12.400
<v Speaker 2>rapidly aging fish from Africa and, and mice. Uh, we

0:26:12.400 --> 0:26:16.540
<v Speaker 2>don't use primates, uh, primates live a long time, so it,

0:26:16.560 --> 0:26:18.680
<v Speaker 2>it kind of makes the studies hard and they also

0:26:18.680 --> 0:26:22.880
<v Speaker 2>cost a fortune. Um, and so we, we don't do that.

0:26:22.920 --> 0:26:24.920
<v Speaker 2>We do some stem cell models in the lab as

0:26:24.920 --> 0:26:29.119
<v Speaker 2>well in in vitro organoid models, uh, but I think

0:26:29.119 --> 0:26:29.589
<v Speaker 2>that

0:26:30.209 --> 0:26:31.688
<v Speaker 2>My beliefs is that.

0:26:32.459 --> 0:26:35.300
<v Speaker 2>There's gonna be a lot of conservation of, of aging

0:26:35.300 --> 0:26:40.339
<v Speaker 2>pathways between animals and humans and other animals. Uh, the

0:26:40.339 --> 0:26:43.849
<v Speaker 2>reason I say that is that, you know, we found

0:26:43.849 --> 0:26:48.139
<v Speaker 2>the sirtuin pathway affects aging by studying single-celled yeast, and

0:26:48.140 --> 0:26:50.500
<v Speaker 2>it turns out to be relevant to human aging. We

0:26:50.500 --> 0:26:54.459
<v Speaker 2>found the MTOR pathway that way. The insulin IGF pathway

0:26:54.459 --> 0:26:55.969
<v Speaker 2>comes from worms and flies.

0:26:56.680 --> 0:26:59.760
<v Speaker 2>It seems like for whatever reason, the pathways that govern

0:26:59.760 --> 0:27:03.599
<v Speaker 2>aging are highly conserved between species. And so I think

0:27:03.599 --> 0:27:06.800
<v Speaker 2>if something is working in a mouse, there's a pretty

0:27:06.800 --> 0:27:10.040
<v Speaker 2>high probability that it's gonna work in a human, and

0:27:10.040 --> 0:27:14.030
<v Speaker 2>that's different from disease because the actual diseases humans get

0:27:14.030 --> 0:27:16.239
<v Speaker 2>are different than the ones mice get. And so you

0:27:16.239 --> 0:27:19.160
<v Speaker 2>can sort of engineer a human disease in a mouse,

0:27:19.599 --> 0:27:22.000
<v Speaker 2>but that's not the same thing as having the disease

0:27:22.000 --> 0:27:23.609
<v Speaker 2>developed naturally in a human.

0:27:24.010 --> 0:27:26.199
<v Speaker 2>And so I think the disease models in mice are

0:27:26.199 --> 0:27:28.000
<v Speaker 2>not as good as the aging model

0:27:28.000 --> 0:27:28.439
<v Speaker 2>will be.

0:27:29.790 --> 0:27:32.219
<v Speaker 1>OK, I'm absolutely fascinated by that point. I think David

0:27:32.219 --> 0:27:34.489
<v Speaker 1>Sinclair in his book sort of talks about it that,

0:27:34.500 --> 0:27:37.339
<v Speaker 1>you know, you don't have to wait for the final

0:27:37.339 --> 0:27:39.339
<v Speaker 1>trial on humans. As long as you know these are

0:27:39.339 --> 0:27:42.420
<v Speaker 1>not doing harm. If I show you some good results

0:27:42.420 --> 0:27:45.500
<v Speaker 1>out of mice, you can probably go ahead and take it.

0:27:45.540 --> 0:27:47.619
<v Speaker 1>I think that's David's argument to some extent.

0:27:48.239 --> 0:27:50.930
<v Speaker 2>Yeah, I, I, in principle, I agree with that. I mean,

0:27:51.189 --> 0:27:53.689
<v Speaker 2>you never for sure know about safety, so, you know,

0:27:53.910 --> 0:27:56.869
<v Speaker 2>the question is, you know, where do you want to

0:27:56.869 --> 0:28:01.579
<v Speaker 2>be on the, the, the risk reward spectrum for healthy longevity? Uh,

0:28:01.589 --> 0:28:03.829
<v Speaker 2>if you want to be an early adopter, you know,

0:28:03.989 --> 0:28:06.659
<v Speaker 2>and you know the safety profile and and the and

0:28:06.670 --> 0:28:08.979
<v Speaker 2>and the potential efficacy of something.

0:28:09.390 --> 0:28:11.958
<v Speaker 2>Uh, and you want to try it. I, I support that. I,

0:28:11.989 --> 0:28:14.430
<v Speaker 2>I think one of the problems we have in medicine

0:28:14.430 --> 0:28:20.619
<v Speaker 2>is that we don't have, we don't empower patients or clients, uh, and, um,

0:28:20.959 --> 0:28:22.819
<v Speaker 2>they go in, they have 6 minutes with the doctor,

0:28:22.949 --> 0:28:24.790
<v Speaker 2>the doctor looks at some charts and says you have

0:28:24.790 --> 0:28:26.229
<v Speaker 2>to do this and you should do that and you

0:28:26.229 --> 0:28:30.319
<v Speaker 2>should do that. And the patient's not invested in doing it.

0:28:30.550 --> 0:28:33.229
<v Speaker 2>And so even when you give them statins, they tend

0:28:33.229 --> 0:28:35.119
<v Speaker 2>not to take it, you know, so.

0:28:35.400 --> 0:28:38.439
<v Speaker 2>Uh, compliance is very low. Uh, I think that we

0:28:38.439 --> 0:28:41.630
<v Speaker 2>need to work on empowering people to make their own decisions,

0:28:41.640 --> 0:28:44.439
<v Speaker 2>and if they wanna be like me, I try a

0:28:44.439 --> 0:28:46.800
<v Speaker 2>lot of different things. If they wanna be, you know,

0:28:46.920 --> 0:28:49.239
<v Speaker 2>on the edge and try things, I think it's OK

0:28:49.239 --> 0:28:50.479
<v Speaker 2>as long as they're educated.

0:28:51.300 --> 0:28:52.699
<v Speaker 1>OK to try metformin.

0:28:54.140 --> 0:28:57.660
<v Speaker 2>Um, metformin is not my favorite intervention, but I, you know, it's,

0:28:57.719 --> 0:29:00.949
<v Speaker 2>it's a very safe one. So there, there are very

0:29:00.949 --> 0:29:05.160
<v Speaker 2>rare side effects that can happen. Uh, and so that,

0:29:05.270 --> 0:29:09.469
<v Speaker 2>that should be kept in mind. Uh, I, I would,

0:29:09.599 --> 0:29:14.109
<v Speaker 2>my personal recommendation on that is if you have, um,

0:29:14.390 --> 0:29:17.359
<v Speaker 2>you should take metformin or, or one of the newer

0:29:17.359 --> 0:29:20.229
<v Speaker 2>drugs in the market, a GOPonister.

0:29:20.680 --> 0:29:25.170
<v Speaker 2>Uh, SCLLT inhibitors, but, um, it's still unclear whether those

0:29:25.170 --> 0:29:28.800
<v Speaker 2>drugs for somebody with normal weight and normal glucose, whether

0:29:28.800 --> 0:29:33.449
<v Speaker 2>those drugs are gonna enhance longevity. Uh, and there's evidence

0:29:33.449 --> 0:29:38.050
<v Speaker 2>for the GLP agonist and also metformin that they take

0:29:38.050 --> 0:29:40.530
<v Speaker 2>the wrong way, they can reduce muscle mass, which is

0:29:40.530 --> 0:29:43.290
<v Speaker 2>not good. Now, my guess is that can be highly

0:29:43.290 --> 0:29:44.959
<v Speaker 2>managed and anybody that

0:29:45.479 --> 0:29:48.910
<v Speaker 2>is obese should be on one of these drugs cause the, the,

0:29:48.920 --> 0:29:53.310
<v Speaker 2>the accelerated aging you get from obesity is extreme. Um,

0:29:53.319 --> 0:29:57.060
<v Speaker 2>but I don't know what to recommend for people that

0:29:57.060 --> 0:30:01.640
<v Speaker 2>are in relatively optimal, uh, weight at the moment. I

0:30:01.640 --> 0:30:03.069
<v Speaker 2>think that's still an unknown.

0:30:03.560 --> 0:30:04.040
<v Speaker 2>OK.

0:30:04.680 --> 0:30:08.040
<v Speaker 1>Um, I was listening to one of your conversations recently

0:30:08.040 --> 0:30:11.609
<v Speaker 1>where you were alluding to the next brave frontier, gene

0:30:11.609 --> 0:30:13.849
<v Speaker 1>therapy and stem cell therapy.

0:30:15.170 --> 0:30:18.920
<v Speaker 2>Yeah, I'm, I'm really excited about gene therapy because, you know,

0:30:19.270 --> 0:30:23.810
<v Speaker 2>before we were identifying drugs that extend lifespan in different animals,

0:30:23.829 --> 0:30:27.199
<v Speaker 2>we were doing a lot of genetic mutations. So, you know,

0:30:27.390 --> 0:30:30.310
<v Speaker 2>we have hundreds of genes that affect aging in yeast

0:30:30.310 --> 0:30:34.550
<v Speaker 2>and worms and maybe uh almost 100 in mice, I

0:30:34.550 --> 0:30:39.900
<v Speaker 2>would guess. Uh, the what if you can effectively manipulate

0:30:39.900 --> 0:30:43.699
<v Speaker 2>the genome, it gives you a much wider range of possibility.

0:30:44.079 --> 0:30:47.439
<v Speaker 2>Uh, for changing aging, I believe, and it looks like

0:30:47.439 --> 0:30:52.680
<v Speaker 2>gene therapy is finally, uh, reaching the, the, the forefront,

0:30:52.760 --> 0:30:56.680
<v Speaker 2>you know, it's being used to treat rare childhood diseases, um,

0:30:56.719 --> 0:30:58.719
<v Speaker 2>and there are already clinics that you can get gene

0:30:58.719 --> 0:31:01.760
<v Speaker 2>therapy done in humans. It may be possible to do

0:31:01.760 --> 0:31:04.520
<v Speaker 2>it in, in ways that you don't actually integrate the

0:31:04.520 --> 0:31:06.949
<v Speaker 2>gene into the genome, and so you don't, you take

0:31:06.949 --> 0:31:10.390
<v Speaker 2>less risk of making mutations in your genome with gene therapy.

0:31:10.819 --> 0:31:13.640
<v Speaker 2>So I, I think it offers great promise. I'm not

0:31:13.640 --> 0:31:19.939
<v Speaker 2>sure whether it's, it's, we're at the point where the, the,

0:31:19.949 --> 0:31:23.520
<v Speaker 2>the rewards outweigh the risk for aging yet, but I

0:31:23.520 --> 0:31:25.319
<v Speaker 2>think we'll get there and I think it'll open up

0:31:25.319 --> 0:31:26.910
<v Speaker 2>a range of possibilities.

0:31:28.040 --> 0:31:32.119
<v Speaker 1>I recently read Walter Isaacson's biography of Jennifer Doudna, the

0:31:32.119 --> 0:31:35.900
<v Speaker 1>Code Breaker book, and the work is absolutely fascinating and

0:31:35.900 --> 0:31:38.719
<v Speaker 1>the acceleration and innovation in that area in the last

0:31:38.719 --> 0:31:40.829
<v Speaker 1>1520 years is pretty astounding.

0:31:41.079 --> 0:31:43.959
<v Speaker 2>Yeah, like CRISPR cusine is really a revolution, you know,

0:31:44.119 --> 0:31:47.040
<v Speaker 2>and we, we could always make the genetic changes we

0:31:47.040 --> 0:31:49.239
<v Speaker 2>wanted in yeast, and that's one of the reasons it

0:31:49.239 --> 0:31:52.640
<v Speaker 2>was such a powerful organism, uh, but now you can

0:31:52.640 --> 0:31:55.520
<v Speaker 2>effectively do that in cell culture and gene therapy is

0:31:55.520 --> 0:31:57.160
<v Speaker 2>starting to be able to do it in people.

0:31:57.550 --> 0:32:00.060
<v Speaker 2>Uh, it's, it's exciting for sure.

0:32:00.800 --> 0:32:04.560
<v Speaker 1>Uh, how computationally intensive is some of this research, and

0:32:04.560 --> 0:32:06.520
<v Speaker 1>the reason I asked you is because, you know, artificial

0:32:06.520 --> 0:32:10.160
<v Speaker 1>intelligence and all the rage and, you know, large language

0:32:10.160 --> 0:32:13.849
<v Speaker 1>models and so on. Um, are any of those recent

0:32:13.849 --> 0:32:17.719
<v Speaker 1>developments in computer science helpful for the kind of research

0:32:17.719 --> 0:32:19.359
<v Speaker 1>that we're talking about here? Yeah,

0:32:19.640 --> 0:32:22.349
<v Speaker 2>it's dramatically changing the field. Half my labs doing AI

0:32:22.349 --> 0:32:26.280
<v Speaker 2>and I never thought I would say that, um, and, um.

0:32:26.869 --> 0:32:28.719
<v Speaker 2>You know, more and more people are coming to work

0:32:28.719 --> 0:32:31.319
<v Speaker 2>every day on that topic, and it's, it's being used

0:32:31.319 --> 0:32:34.609
<v Speaker 2>for a wide range of things. For one, we're using

0:32:34.609 --> 0:32:38.829
<v Speaker 2>them to make biologic aging clocks to measure how you age, um,

0:32:38.880 --> 0:32:41.640
<v Speaker 2>but we're also using it to select drugs that might

0:32:41.640 --> 0:32:47.239
<v Speaker 2>be better at, uh, some disease or even extending longevity, um, we,

0:32:47.410 --> 0:32:49.630
<v Speaker 2>we recently published a paper.

0:32:50.020 --> 0:32:53.939
<v Speaker 2>Um, with careful and, uh, looking at how to query

0:32:54.270 --> 0:32:58.800
<v Speaker 2>large language models to get, uh, appropriate answers for longevity.

0:32:58.910 --> 0:33:00.869
<v Speaker 2>So like an example would be like, should I take

0:33:00.869 --> 0:33:05.819
<v Speaker 2>rapamycin and 52 and, you know, I have diabetes, uh, and,

0:33:05.949 --> 0:33:08.390
<v Speaker 2>you know, the people are doing this now, a lot

0:33:08.390 --> 0:33:11.030
<v Speaker 2>of doctors will say you shouldn't ask large language models

0:33:11.030 --> 0:33:14.339
<v Speaker 2>those questions, but people are asking them every day, it's happening.

0:33:14.910 --> 0:33:17.630
<v Speaker 2>And so we're trying to figure out how to improve

0:33:17.630 --> 0:33:19.589
<v Speaker 2>the responses of the LLMs.

0:33:19.949 --> 0:33:23.550
<v Speaker 2>In a way that gives good medical advice to people.

0:33:23.800 --> 0:33:26.319
<v Speaker 2>So I think that's just 3 examples. There's so many

0:33:26.319 --> 0:33:29.569
<v Speaker 2>different ways that AI is being used now that it's, it,

0:33:29.599 --> 0:33:30.839
<v Speaker 2>it's really quite amazing.

0:33:31.939 --> 0:33:34.630
<v Speaker 1>Um, a few years ago I had Professor Dean Ho

0:33:34.630 --> 0:33:37.569
<v Speaker 1>on my podcast. I'm sure you know Dean, and he

0:33:37.569 --> 0:33:41.130
<v Speaker 1>was talking about in the context of personalized recommendation that

0:33:41.130 --> 0:33:43.959
<v Speaker 1>AI can take in all the data from a patient

0:33:43.959 --> 0:33:47.810
<v Speaker 1>overnight and then give you very specific recommendations of the

0:33:47.810 --> 0:33:50.739
<v Speaker 1>dosage for the following day. At that time, I had,

0:33:50.890 --> 0:33:52.489
<v Speaker 1>you know, of course, you know, it was years before

0:33:52.489 --> 0:33:56.010
<v Speaker 1>large language models entered my consciousness, but I suppose this

0:33:56.010 --> 0:33:57.719
<v Speaker 1>is one way of thinking about it as well.

0:33:58.839 --> 0:34:01.699
<v Speaker 2>Yeah, it's getting there. I mean, you know, you can also.

0:34:03.219 --> 0:34:05.439
<v Speaker 2>Take it down directions where you get the wrong answers,

0:34:05.449 --> 0:34:09.129
<v Speaker 2>and so I think that the value of elements for

0:34:09.129 --> 0:34:14.639
<v Speaker 2>medicine is, is, is gonna continue to, to grow, uh, and, uh,

0:34:14.649 --> 0:34:17.280
<v Speaker 2>already I think you can get really meaningful information back,

0:34:17.370 --> 0:34:19.399
<v Speaker 2>but with a note of caution perhaps.

0:34:19.979 --> 0:34:22.100
<v Speaker 1>Right, I mean, for my personal work in the world

0:34:22.100 --> 0:34:24.580
<v Speaker 1>of finance and economics, times I find it most useful

0:34:24.580 --> 0:34:27.500
<v Speaker 1>is when I control the information that is ingesting. So

0:34:27.500 --> 0:34:29.379
<v Speaker 1>when I upload a document and ask it to do

0:34:29.379 --> 0:34:31.979
<v Speaker 1>some analysis on that, that's where the real value added

0:34:31.979 --> 0:34:34.979
<v Speaker 1>comes to me. I don't necessarily trust it to tap

0:34:34.979 --> 0:34:36.929
<v Speaker 1>the entire internet and give me the right answers.

0:34:37.810 --> 0:34:40.290
<v Speaker 2>Yeah, yeah, but it's, it's changing so fast, you know,

0:34:40.620 --> 0:34:43.040
<v Speaker 2>I'm starting to wonder when I'm gonna be obsolete.

0:34:44.929 --> 0:34:49.229
<v Speaker 1>Um, uh, let's talk about Singapore. Uh, I know you're

0:34:49.229 --> 0:34:52.750
<v Speaker 1>deeply involved in the research scene here. Give me a

0:34:52.750 --> 0:34:56.070
<v Speaker 1>sense of how is the state of affairs on longevity

0:34:56.070 --> 0:34:58.750
<v Speaker 1>related research in Singapore beyond your lab.

0:34:59.600 --> 0:35:04.510
<v Speaker 2>Well, I, I think there's quite a, a field growing here. It's, it's, uh,

0:35:04.520 --> 0:35:07.360
<v Speaker 2>not much was happening when it came 7.5 years ago.

0:35:07.399 --> 0:35:10.600
<v Speaker 2>I mean, there was certainly, if you think of aging

0:35:10.600 --> 0:35:13.510
<v Speaker 2>in a broader sense, there was good geriatric medicine here,

0:35:13.520 --> 0:35:15.350
<v Speaker 2>there's geriatric research.

0:35:16.020 --> 0:35:19.310
<v Speaker 2>You know, I jokingly say that geriatricians focus on aging.

0:35:19.379 --> 0:35:22.479
<v Speaker 2>My job is to focus on non-aging. So, you know,

0:35:22.780 --> 0:35:26.899
<v Speaker 2>we're typically looking at middle-aged people trying to prevent aging, uh,

0:35:27.020 --> 0:35:28.600
<v Speaker 2>so it's a little bit of a different approach, but

0:35:28.600 --> 0:35:33.339
<v Speaker 2>geriatrics is essential. You need geriatricians nowhere in the world

0:35:33.340 --> 0:35:36.299
<v Speaker 2>has enough of them, and, uh, there's some very good

0:35:36.300 --> 0:35:40.820
<v Speaker 2>ones here. And also there are programs focused on social

0:35:40.820 --> 0:35:43.340
<v Speaker 2>aging that are very successful on.

0:35:43.810 --> 0:35:49.009
<v Speaker 2>Um, uh, and, and other aspects of aging, financial aspects, and, and,

0:35:49.050 --> 0:35:52.270
<v Speaker 2>and some health aspects of aging. Uh, we kind of

0:35:52.270 --> 0:35:54.989
<v Speaker 2>brought this sort of molecular biology approach and to slow

0:35:54.989 --> 0:35:59.139
<v Speaker 2>the aging process, and I, I think we're over the

0:35:59.139 --> 0:36:01.750
<v Speaker 2>time we've built an ecosystem now of people that are

0:36:01.750 --> 0:36:05.739
<v Speaker 2>thinking about this. I would also say that governments really, uh,

0:36:05.750 --> 0:36:07.819
<v Speaker 2>even by the time we got here, they already knew

0:36:07.820 --> 0:36:10.379
<v Speaker 2>how much of a problem they had with the aging population.

0:36:10.469 --> 0:36:11.419
<v Speaker 2>I mean they have

0:36:11.939 --> 0:36:16.319
<v Speaker 2>Um, major challenges because extremely low birth rate, people are

0:36:16.320 --> 0:36:20.370
<v Speaker 2>living a long time, and immigration is a challenge on

0:36:20.370 --> 0:36:24.810
<v Speaker 2>a small island like this. So, um, they'd already recognized

0:36:24.810 --> 0:36:28.129
<v Speaker 2>this as a challenge. I think they've been taking their

0:36:28.129 --> 0:36:31.120
<v Speaker 2>time trying to figure out where to invest in mitigating

0:36:31.120 --> 0:36:34.689
<v Speaker 2>the problem, but, uh, I'm, I'm excited to hear that

0:36:34.689 --> 0:36:37.370
<v Speaker 2>there's a lot of interest in focusing on healthy longevity

0:36:37.370 --> 0:36:38.729
<v Speaker 2>going forward and

0:36:39.379 --> 0:36:42.379
<v Speaker 2>You know, I, I think that it's really changing the

0:36:42.379 --> 0:36:44.090
<v Speaker 2>mindset to say that, you know,

0:36:45.189 --> 0:36:48.350
<v Speaker 2>Putting up better signs to keep people with Alzheimer's from

0:36:48.350 --> 0:36:51.969
<v Speaker 2>getting lost is fine, uh, but it's not solving the

0:36:51.969 --> 0:36:54.939
<v Speaker 2>economic challenge of aging. The way to solve that is

0:36:54.939 --> 0:36:58.669
<v Speaker 2>to keep people healthy, keep them working, keep them raising

0:36:58.669 --> 0:37:01.709
<v Speaker 2>their grandkids, keep them spending money in the economy and

0:37:01.709 --> 0:37:04.638
<v Speaker 2>traveling and doing all the things that keep the economy moving,

0:37:04.709 --> 0:37:07.270
<v Speaker 2>and the only way to get to there is by

0:37:07.270 --> 0:37:09.989
<v Speaker 2>keeping them healthy, not waiting till they get sick and

0:37:10.570 --> 0:37:12.638
<v Speaker 2>Throwing a lot of money and trying to treat them.

0:37:12.969 --> 0:37:15.049
<v Speaker 2>So I think there's a recognition of that now and

0:37:15.050 --> 0:37:18.408
<v Speaker 2>a belief that that's possible. So I think it's it's

0:37:18.409 --> 0:37:20.129
<v Speaker 2>even gonna go faster as we go

0:37:20.129 --> 0:37:20.620
<v Speaker 2>forward.

0:37:21.770 --> 0:37:25.290
<v Speaker 1>And speaking of sort of the public sector of Singapore

0:37:25.290 --> 0:37:28.929
<v Speaker 1>and its intervention in the day to day lives of Singaporeans,

0:37:28.979 --> 0:37:32.179
<v Speaker 1>I mean, are you an advocate of, for example, subsidizing

0:37:32.179 --> 0:37:35.530
<v Speaker 1>healthy diet or giving people exercise vouchers, or you think

0:37:35.530 --> 0:37:38.139
<v Speaker 1>that there has to be a smarter ground up way

0:37:38.139 --> 0:37:40.770
<v Speaker 1>of doing it as opposed to a top down manner

0:37:40.770 --> 0:37:41.879
<v Speaker 1>from heaven from the government?

0:37:42.550 --> 0:37:46.620
<v Speaker 2>Yeah, I don't think any government's figured this out yet, and, uh,

0:37:47.139 --> 0:37:49.500
<v Speaker 2>you know, so this comes into play in a whole

0:37:49.500 --> 0:37:52.780
<v Speaker 2>range of ideas. You can, you can do carrots like that.

0:37:53.300 --> 0:37:55.179
<v Speaker 2>You know, you can also have an approach where you

0:37:55.179 --> 0:37:57.408
<v Speaker 2>have to pay a little bit of your healthcare costs,

0:37:57.419 --> 0:37:59.500
<v Speaker 2>where the government takes care of most of it, but

0:37:59.500 --> 0:38:01.610
<v Speaker 2>you're on the hook for a little bit of it

0:38:01.610 --> 0:38:04.669
<v Speaker 2>to try to motivate you to stay healthy, um.

0:38:05.989 --> 0:38:10.859
<v Speaker 2>Different countries are trying different uh approaches right now, and

0:38:11.510 --> 0:38:14.270
<v Speaker 2>in the first country that finds a strategy to really

0:38:14.270 --> 0:38:18.270
<v Speaker 2>increase healthy lifestyle is gonna benefit tremendously. I guess the

0:38:18.270 --> 0:38:22.020
<v Speaker 2>countries that are closest to that are probably Northern European countries, so.

0:38:22.479 --> 0:38:26.080
<v Speaker 2>And Denmark, places like that, people are very active, they're

0:38:26.580 --> 0:38:30.138
<v Speaker 2>less obese people and uh they're benefiting from a more

0:38:30.139 --> 0:38:33.969
<v Speaker 2>healthy lifestyle. Uh, Singapore is not bad, but I think

0:38:33.969 --> 0:38:39.560
<v Speaker 2>people don't exercise enough here, and it's partly climate. Uh, also, the,

0:38:39.659 --> 0:38:44.570
<v Speaker 2>the food is relatively healthy, certainly it's healthy relative to America, but, uh,

0:38:44.580 --> 0:38:47.060
<v Speaker 2>at the same time, you know, you go to the

0:38:47.060 --> 0:38:48.189
<v Speaker 2>store and

0:38:48.729 --> 0:38:51.340
<v Speaker 2>You know, you buy these cold teas in the store

0:38:51.340 --> 0:38:55.699
<v Speaker 2>and they're like full of sugar. There's still some simple

0:38:55.699 --> 0:38:58.090
<v Speaker 2>things that could be done that could really help out.

0:38:58.179 --> 0:39:01.000
<v Speaker 2>And uh if I'm doing a 20k run, one of

0:39:01.000 --> 0:39:03.899
<v Speaker 2>the piece full of sugar is really nice, but uh

0:39:03.899 --> 0:39:06.530
<v Speaker 2>having it every day would be a disaster. I mean, we,

0:39:06.540 --> 0:39:07.679
<v Speaker 2>we need to like

0:39:08.659 --> 0:39:12.290
<v Speaker 2>Make simple changes, continue to make simple changes that promote

0:39:12.290 --> 0:39:13.580
<v Speaker 2>the health of the population.

0:39:14.129 --> 0:39:18.209
<v Speaker 1>Well, one thing I saw in Singapore 15 years ago

0:39:18.209 --> 0:39:21.399
<v Speaker 1>when I moved here was the absence of covered sidewalks,

0:39:21.409 --> 0:39:24.209
<v Speaker 1>and today it's a sea change. There's so many sidewalks

0:39:24.209 --> 0:39:26.889
<v Speaker 1>that are covered and it makes a huge difference in

0:39:26.889 --> 0:39:28.729
<v Speaker 1>my ability to run through those areas.

0:39:29.050 --> 0:39:31.689
<v Speaker 2>Yeah, me too. Uh, I, I agree with that. Uh,

0:39:31.889 --> 0:39:34.479
<v Speaker 2>little things like that help for sure, but they're not

0:39:34.479 --> 0:39:37.340
<v Speaker 2>the solution, you know, the solution is also to just

0:39:37.340 --> 0:39:40.020
<v Speaker 2>go after the molecular biology and slow aging.

0:39:40.469 --> 0:39:43.520
<v Speaker 2>Um, I, I think we need to, those sort of

0:39:43.520 --> 0:39:46.719
<v Speaker 2>environmental changes are good, but they don't, they stand alone.

0:39:46.800 --> 0:39:48.590
<v Speaker 2>I don't think they're going to solve the problem.

0:39:49.040 --> 0:39:52.000
<v Speaker 1>Sure, I have saved the hardest question for you at

0:39:52.000 --> 0:39:55.760
<v Speaker 1>the end, which is, is aging a disease and if

0:39:55.760 --> 0:39:58.229
<v Speaker 1>it's a disease, should it be covered by health insurance,

0:39:58.360 --> 0:39:59.949
<v Speaker 1>any aging related treatment?

0:40:00.679 --> 0:40:03.479
<v Speaker 2>I'll I'll turn the question around and say that it

0:40:03.479 --> 0:40:05.790
<v Speaker 2>should be covered by health insurance, whether it's a disease

0:40:05.790 --> 0:40:06.428
<v Speaker 2>or not.

0:40:06.989 --> 0:40:09.780
<v Speaker 2>You know, we can get into semantic arguments about whether

0:40:09.780 --> 0:40:11.909
<v Speaker 2>it's a disease, but if it's, if you don't wanna

0:40:11.909 --> 0:40:14.229
<v Speaker 2>call it a disease, you have to at least acknowledge

0:40:14.229 --> 0:40:18.489
<v Speaker 2>it's the biggest risk factor for every disease we're afraid of. Um,

0:40:18.709 --> 0:40:20.989
<v Speaker 2>and when you think of the most successful drugs on

0:40:20.989 --> 0:40:24.870
<v Speaker 2>the market, they're not treating overt diseases. They're treating high

0:40:24.870 --> 0:40:26.949
<v Speaker 2>blood pressure. Why do you treat high blood pressure? Cause

0:40:26.949 --> 0:40:29.029
<v Speaker 2>you don't want a heart attack. You, you don't want

0:40:29.030 --> 0:40:33.310
<v Speaker 2>cardiovascular disease in the future. They're treating high glucose, uh,

0:40:33.389 --> 0:40:34.949
<v Speaker 2>they're treating high cholesterol.

0:40:35.360 --> 0:40:40.040
<v Speaker 2>Um, these are the drugs that work. They're, and they're reimbursed.

0:40:40.409 --> 0:40:43.209
<v Speaker 2>And so if we acknowledge these things are risk factors

0:40:43.209 --> 0:40:45.929
<v Speaker 2>for disease and we should treat them, we should also

0:40:45.929 --> 0:40:49.049
<v Speaker 2>acknowledge that aging is a 100 times bigger risk factor

0:40:49.050 --> 0:40:52.290
<v Speaker 2>than any of those. So we should reimburse treatment for

0:40:52.290 --> 0:40:54.729
<v Speaker 2>that too. I, I honestly, I think I would call

0:40:54.729 --> 0:40:57.729
<v Speaker 2>it a disease, but I, as long as I can

0:40:57.729 --> 0:41:00.770
<v Speaker 2>treat it and it gets reimbursed, you can call it

0:41:00.770 --> 0:41:01.479
<v Speaker 2>anything you want.

0:41:03.989 --> 0:41:06.879
<v Speaker 1>Uh, well, that's, that's a great note too, and uh

0:41:06.879 --> 0:41:08.909
<v Speaker 1>Professor Brian Kennedy, thank you so much for your time

0:41:08.909 --> 0:41:09.560
<v Speaker 1>and insights.

0:41:10.350 --> 0:41:11.179
<v Speaker 2>Anytime. Thanks

0:41:11.179 --> 0:41:15.139
<v Speaker 1>a lot. A pleasure. Thank you to our listeners as well. Uh,

0:41:15.219 --> 0:41:17.899
<v Speaker 1>Kobe Time was produced by Ken Delbridge at Spy Studios.

0:41:18.030 --> 0:41:21.229
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0:41:21.229 --> 0:41:24.360
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0:41:24.360 --> 0:41:25.629
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0:41:26.120 --> 0:41:29.509
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0:41:34.199 --> 0:41:37.199
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0:41:37.199 --> 0:41:40.780
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0:41:40.780 --> 0:41:41.510
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