The Peter Attia Drive - November 05, 2018


#27 - David Sinclair, Ph.D.: Slowing aging – sirtuins, NAD, and the epigenetics of aging


Episode Stats

Length

1 hour and 41 minutes

Words per Minute

196.60579

Word Count

19,949

Sentence Count

1,373

Misogynist Sentences

3

Hate Speech Sentences

12


Summary

In this episode, Dr. David Hales joins me to talk about his life, career, and contributions to the field of aging research, including his discovery of Sirtuins and his work on DNA repair and gene silencing.


Transcript

00:00:00.000 Hey everyone, welcome to the Peter Atiyah Drive. I'm your host, Peter Atiyah.
00:00:10.140 The drive is a result of my hunger for optimizing performance, health, longevity, critical thinking,
00:00:15.600 along with a few other obsessions along the way. I've spent the last several years working with
00:00:19.840 some of the most successful top performing individuals in the world. And this podcast
00:00:23.600 is my attempt to synthesize what I've learned along the way to help you live a higher quality,
00:00:28.360 more fulfilling life. If you enjoy this podcast, you can find more information on today's episode
00:00:33.020 and other topics at peteratiyahmd.com.
00:00:41.220 Hi everyone, welcome to this week's edition of the Peter Atiyah Drive. I'm Peter Atiyah. This week,
00:00:48.400 my guest is Professor David Sinclair. He's a professor in the Department of Genetics at Harvard Medical
00:00:54.700 School. And he is the co-director of the Paul F. Glenn Center for the Biological Mechanisms of
00:01:02.200 Aging. David Hales from Australia. That'll take you about 10 seconds into our interview to figure
00:01:06.940 out. He did his PhD in molecular genetics at the University of New South Wales in Sydney. And it was
00:01:12.480 at that time that he met the man that would go on to become his mentor. We talk a lot about him and
00:01:17.360 this is a guy, Lenny, who's actually come up on other podcasts, so I won't get into him now. But
00:01:22.000 nevertheless, David met Lenny and decided he wanted to come to MIT to study with him, which is what he
00:01:27.780 did. And David has gone on to become one of the pioneers in a particular field of aging that focuses
00:01:34.760 on a class of molecules known as sirtuins. I'm sure many of you have heard of sirtuins,
00:01:41.980 but you might not entirely be clear on what sirtuins are. I won't obviously make any attempt to do that
00:01:47.020 here in the intro because we spend so much time talking about that during this episode.
00:01:51.880 The other thing that David is really quite famous for is his role in the discovery of a molecule or
00:01:58.660 class of molecules that stimulate sirtuins. And by the time you get through this episode, you will
00:02:02.700 understand why that may be a desirable thing to do. And among these, the most famous is one called
00:02:07.720 resveratrol. Of course, resveratrol came to fame probably a little over a decade ago when it was
00:02:15.020 noted at least in one study in one type of animal model to promote a longevity phenotype. And of
00:02:21.480 course, what really made it interesting, at least for the lay press was that resveratrol is found in
00:02:25.640 very low concentrations in the skin of grapes. And therefore the logic went, Hey, grapes make wine,
00:02:32.120 wine contains resveratrol, wine makes you live longer. Hallelujah. The French paradox has been
00:02:37.040 resolved. Slight spoiler alert. That's not true, but we get into the wise. That might be the case.
00:02:41.680 This episode, we only had, when I say only, meaning we had less than two hours,
00:02:46.940 but like has happened in other podcasts, including the one with Rhonda Patrick, after we closed the
00:02:53.860 podcast, cause I wanted to be respectful of David's time. He had to catch a flight to New York right
00:02:57.640 after we spoke, this interview took place in Boston. We ended up talking for another 15 minutes. And
00:03:02.220 unfortunately that 15 minutes was some of the most intense, detailed, nuanced discussions of it.
00:03:07.660 And I left thinking, gosh, I wish we had more time to talk. So I suspect David and I will speak
00:03:13.340 again. David has a book coming out next year, and I think that'll provide another great opportunity to
00:03:18.460 sit back down with him. In this episode, we talk a lot about his postdoc at MIT. He came out of a
00:03:23.500 powerhouse lab that has produced other notable folks that, including folks we've already interviewed,
00:03:28.860 like Matt Caberlin and folks we've talked about, like Brian Kennedy. We talk about his contribution to
00:03:33.220 the understanding of Sirtuins, which was something that was coming out of Lenny's lab. And David
00:03:37.260 really picked that up and ran with it. What are these things? What do they do? What's their role
00:03:41.500 in aging, DNA repair, gene silencing? We go over all this stuff in detail. We talk a lot about NAD
00:03:47.020 and its precursors, specifically something called NMN. So if you are listening to this and you are in the
00:03:54.520 camp of trying to understand how to make heads or tails of NAD, NR, NMN, I think this episode will be
00:04:01.800 helpful. Tragically, it was not until 24 hours after we did this episode that I ran into George
00:04:10.220 Vlasic on an airplane who mentioned to me a paper by Josh Rabinowitz in Cell Metabolism that came out
00:04:17.420 about a month before we did this interview that we will link to that I think makes a very compelling
00:04:23.460 case for the futility of orally administered versions of these precursors. And that would have
00:04:29.400 been a really interesting discussion to have with David because of his expertise in this. So
00:04:32.960 at some point, I'll probably want to interview Josh and we'll go into that in really detail because
00:04:36.580 again, unless you've been up in the Himalayas hunting Yeti, you're probably aware that these
00:04:40.560 are kind of the hottest supplements out there. We talk a lot about NAD levels. What do these things
00:04:46.020 mean? Where does it go? Where is it produced? We, again, as I alluded to above, talk about
00:04:50.020 resveratrol and its potential in life extension. And we talk about the connection then between
00:04:55.060 sirtuins and NAD. We talk about his rationale for what he does. So David is actually very open about,
00:05:01.780 you know, kind of the stuff that he does personally, including the fact that he takes resveratrol and
00:05:05.900 metformin and NMN himself. We also go into the differences between some of these molecules. And
00:05:10.460 again, allude a little bit to his book. There's a lot of stuff in here. Again, sometimes it gets
00:05:15.600 technical. Sometimes it doesn't. The show notes, as always, will provide a lot of help. So if you have
00:05:21.660 any questions about papers we reference, the likelihood that they're in the show notes is
00:05:25.560 actually quite high. Also, if you haven't signed up for our weekly email list and you wouldn't mind
00:05:30.420 getting an email from me once a week, I suggest you head on over to the website, PeterTiaMD.com
00:05:35.980 and sign up. Again, my promise to you is to make it as non-lame as possible. And finally, if you are
00:05:41.920 enjoying these podcasts, please head on over to iTunes and write a review there. And again, I would hope
00:05:48.260 that you like the podcast and leave a positive review. But I guess in the spirit of getting as
00:05:51.600 much feedback as possible, if you don't like it and you have something to say that we can do to make
00:05:55.160 it better, that's probably not an unreasonable place to leave that kind of feedback. So with all
00:06:00.040 that said, please welcome to my interview with Professor David Sinclair. Good afternoon, David.
00:06:07.600 Nice to be here, Peter. Thank you for making time today. I gathered only by the commotion in this very
00:06:13.780 busy place we're in that there's a lot going on here and making time to speak with somebody as
00:06:18.920 inconsequential as I am is a big ask. So I am incredibly grateful. I'm pleased to be on. We were
00:06:24.580 introduced by a mutual friend who's no stranger to people listening to this because I've had him on
00:06:28.940 before, David Sabatini. And maybe a month ago, maybe a little more than that, I said, David, you
00:06:33.940 know, I really want to know more about Sirtuins. And who do you recommend that I speak with? And he
00:06:39.160 said, well, I think David Sinclair would be perfect. So he reached out to you and you very graciously
00:06:43.920 agreed to speak. So again, I thank you for that. And I'm really excited to talk about something that
00:06:48.240 I know very little about as you will undoubtedly learn in the next hour or so. Well, yeah, that's
00:06:54.020 kind of David. As you know, and probably the listeners, though, as well, he's a bit of a
00:06:58.320 superstar. So it's kind of him. I'll have to, you know, send him a note for that. But no, honestly,
00:07:04.480 it's really great to be on because I know you delve into the details of the science more than anyone
00:07:09.660 I've heard. And I'm excited to be able to share that with listeners. Well, yeah, that's, that's
00:07:13.600 the part that's got me excited. So a lot of times I've listened to talks that you've given and I can
00:07:18.020 tell you're, I don't want to use the word dumbing it down, but you're, you know, you're speaking to
00:07:21.880 an audience where you realize that if you go too far in the weeds, they're, they're going to miss
00:07:26.220 the point. And so I found myself watching talks you've given on YouTube going, I wish he would
00:07:31.460 elaborate on that point and that point. And hey, it may be that I don't, I don't understand it
00:07:35.080 myself. Let's see. So I think just for a bit of background, I know you did your undergrad,
00:07:41.040 your PhD in Australia, and then somehow you wind up in Lenny's lab at MIT. How did that happen?
00:07:46.360 I've been interested in aging since I was four, since I realized that everybody and everything
00:07:51.320 around me is going to die. That's a pretty big shock for everybody. Most people forget about it
00:07:56.200 because you just can't function thinking about it every day. I forgot about it until my teenage years.
00:08:01.540 And I realized that with the technology that was coming online, these are the days of early PCR
00:08:06.660 and gene sequencing. We used to call it genetic engineering. I thought maybe we're just the last
00:08:11.820 generation who's going to live a normal lifespan, a regular evolved lifespan. And our children and
00:08:18.180 our children's children forever are going to be able to benefit from these new technologies. And
00:08:22.540 damn it, this is not right. I've got grandparents, parents, friends, and about 5 billion people who
00:08:30.420 could really be benefited right now. So at that point, I decided to seek out the best people in
00:08:36.800 the world and see if I could go work with them. And I got a PhD in molecular biology, in yeast genetics,
00:08:42.300 and that was a great PhD. And a real turning point for me was this guy from MIT who I knew about
00:08:49.220 because he was also a yeast researcher. He was a legend. I'd read all these papers. Lenny Guarenti came
00:08:53.860 to Australia. And here I am, this young 20-something-year-old having dinner with Lenny Guarenti and my PhD
00:08:59.980 supervisor from Australia. And Lenny starts telling this story halfway through dinner about this new
00:09:05.620 project that a guy called Nicanor Austriaco and Brian Kennedy had just started doing. And it was to
00:09:12.140 try and find genes that control aging in yeast cells. And I said, okay, I know yeast. And I've always
00:09:19.200 wanted to figure this out. Damn it. That's what I want to do. Save me a spot, Lenny. I'm coming to
00:09:23.960 your lab. And he went, yeah, yeah, yeah, whatever, as he does to most people who want to join his lab.
00:09:28.700 So I wrote to him pretty soon after, maybe six months, I was finishing up. Can I come to your
00:09:32.980 lab? And he wrote back like he does to everybody. Sure, you can come. But then a millisecond later,
00:09:38.660 I was disappointed because he said, you have to bring your own funding. So that was no small task.
00:09:43.040 And that's a story in itself. Just briefly, though, this is a lesson for anyone who's listening,
00:09:47.400 who thinks that getting to somewhere like this is easy. You have to be massively determined. You
00:09:54.500 have to have grit. And I just wouldn't give up because there's nothing else I wanted to do
00:09:58.640 in my life. I certainly was looking at patent law even, but I think I would have died if I had done
00:10:05.440 that as a career. I just don't have the attention span. Anyway, I actually found funding. It turns out I
00:10:11.500 applied to the Helen Hay Whitney Foundation, which is a prestigious foundation here. And they wrote to me
00:10:15.820 and said, you can't apply. You're a foreigner. And I said, well, this is the old days with early
00:10:21.500 email. I think it might even be post. And they wrote back. They said, well, you're a foreigner.
00:10:26.180 We can't afford to fly you out to Boston, Cambridge for an interview. And I said, well, I'll sell my car
00:10:32.760 and I'll pay for the ticket. As I understand it, I was the first foreigner who was allowed to interview.
00:10:37.500 And I flew here. I stayed in Nicanor Austriaco's basement. He was very kind. And my interview was
00:10:43.480 with a guy who everyone was telling me is a real tough guy, super smart. I'd never heard of him.
00:10:49.780 Of course, now everybody in science knows of Doug Melton. He's king of, well, endocrinology and stem
00:10:57.080 cells at Harvard. And I was just this kid showing up for an interview. And there was a line of people
00:11:01.440 outside his door waiting. And I was fifth in line. And I went in and Professor Melton said to me,
00:11:06.920 David, tell me what you want to do. And I had literally five minutes to impress this guy,
00:11:15.000 one of the smartest people you'll ever meet.
00:11:16.380 So you've sold your car, flown 22 hours for a five minute interview.
00:11:20.540 Yeah, that was basically it. And so I thought about it most of my adult life, what was aging about.
00:11:26.540 And a lot of people in those days, back in the late 80s, early 90s, were talking about
00:11:31.120 the evolution of aging genes, death genes. And I studied evolutionary biology myself. And that
00:11:38.020 didn't make any sense. You don't evolve death genes. And I never subscribed to the group theory
00:11:42.060 of selection. So every person for themselves, selfish gene, love dork and stuff. And so my thought was
00:11:48.260 the only genes that I could understand could evolve that have relevance to aging are longevity genes.
00:11:53.780 And right about that time, there was the discovery of, in C. elegans, the nematode worm of the DAF2
00:11:59.780 mutation from... Yeah, I was about to say, this must have corresponded with Cynthia's work, right?
00:12:03.380 Around the same time. It's just happening. And Lenny, at the same time, had just discovered a mutation
00:12:09.060 that they weren't sure what it was doing. But it turns out it led to the Sirtuin story. And so I said to
00:12:14.700 Doug, I want to come to Lenny's lab and discover life genes, genes that give life and longevity.
00:12:23.780 And I guess he liked the idea of what I was saying. I was certainly very passionate.
00:12:27.680 It probably didn't hurt that I brought a bottle of red wine as a present. I just thought that's
00:12:31.780 what you do when you come to people's place. Later on, I learned that that's equivalent to
00:12:35.920 bribing somebody, but I was just a young kid. But yeah, that's what happened. I got the prize.
00:12:40.860 No foreshadowing the resveratrol there.
00:12:42.780 Yeah, definitely. It was auspicious kind of a thing. But being able to come to Lenny's lab,
00:12:48.720 I would have worked in Lenny's lab for free. I would have lived in the basement and done it.
00:12:52.040 That's just how much I wanted to do this. So I came over. It was late 1994, early 95 when
00:12:57.820 things were just starting to take off, trying to understand what these mutations were that
00:13:01.780 Brian had found.
00:13:03.000 Now, was Matt Cabell in there as well? Matt's also a close friend. He was not there yet. So
00:13:06.360 the lab has produced just a ridiculous amount of sort of prolific individuals in this anti-aging space.
00:13:14.860 It was a golden age. You could definitely feel that something special was going on in those days.
00:13:19.100 But I arrived, I was the first postdoc to join to study aging specifically.
00:13:22.960 Was Brian a PhD student?
00:13:24.100 Yeah. So Brian, I was this new guy on the block. Brian teach me how to do yeast aging and he taught
00:13:29.240 me. But all the other postdocs, there are probably 18 to 20 postdocs there, big lab, all working on
00:13:34.600 transcription regulation. And that was the sexy thing. And I was told by, and I don't think I've
00:13:40.400 told anybody publicly this, that the postdocs were saying, you're crazy to work on this aging
00:13:45.800 project. Lenny's lost his mind. It's a house of cards. It's going to fall down. You can't study
00:13:50.080 aging and yeast, all of these things. And within the first few weeks, I thought, maybe I've made
00:13:54.940 a mistake. Maybe I was just fooled. Maybe Lenny isn't that smart as I thought. But I stuck with
00:14:00.720 it. But I do remember at one point on the phone, Nellie crying to my mother saying, I think I made a
00:14:05.980 really big mistake. And that stands out as a point where I could have easily just quit. But I stuck with
00:14:12.060 it. And thank goodness I did. Because Lenny was right. And Lenny is really the smart visionary
00:14:17.200 that saw that this was the right way to go. So you sort of alluded to it earlier. Lenny was
00:14:22.900 sort of onto something, right? There was basically a new pathway. Now, if we go back in time to 94,
00:14:29.980 what did we know? Well, we barely knew about Tor. I mean, it was just being basically figured out that
00:14:37.420 this thing that Michael Hall had figured out a year earlier, Saul is figuring out, David is figuring
00:14:43.400 out. I mean, there's still this early triangulation of what's going on with rapamycin. At the time,
00:14:48.640 they didn't even, if I recall, I don't think we knew that there was mTorq1, mTorq2, and they were
00:14:52.680 doing totally different things. AMPK is pretty well understood. Metformin's been around. But I don't
00:14:59.400 think people really had a sense at the time that it was anything other than an anti-diabetic drug.
00:15:03.820 So talk me through this whole Sirtuin thing. That's a pretty broad question. Let me narrow
00:15:12.740 it down a little bit. Talk me through what you were just about to allude to that. What was Lenny
00:15:16.640 onto when you showed up? Well, genetics is a fabulous tool because you don't have to go in
00:15:21.500 with any hypothesis that biology will tell you the answer. And the gene that had just been cloned by
00:15:26.540 Brian turned out to be what's called SIR4. Now, SIR4 didn't turn out to be a mammalian
00:15:33.080 conserved gene. So SIR4 has not been as exciting, but there was this partner of the SIR4 gene.
00:15:39.460 It was called SIR2. And SIR2 and SIR3 and SIR4 form this complex of proteins stick together and
00:15:45.520 control, of all things, gene silencing. That's what SIR stands for, silent information regulator,
00:15:51.820 in this case, number two. And that was very unexpected. In those days, if you think back,
00:15:57.380 the cause of aging was thought to be DNA damage, mutations, free radicals. So we were all expecting
00:16:02.800 to find genes that controlled DNA repair or antioxidants. At that time, because I go back
00:16:09.000 and I think, God, at that time I was still in college studying math and engineering. I didn't
00:16:12.440 know. I hadn't taken a biology course. So I can't think about it through the context of my own
00:16:16.420 education. How well was it understood that there were introns and extrons and that much of the genome
00:16:21.980 wasn't even coding and stuff? Like, was that well understood at that point in time? It was. In yeast,
00:16:26.780 actually, they were ahead of anybody else in eukaryotes. We knew that there were introns and
00:16:31.900 not many introns in yeast anyway. But we hadn't seen the full genome. It was still bits and pieces,
00:16:37.260 maybe 5-10% was known. My PhD was sequencing three genes. That's all it took. So things were
00:16:45.020 changing rapidly. This new thing with PCR, you could move tubes into hot tubs and amplified genes.
00:16:50.360 It was all very exciting. But what we didn't have any clue was that why a silencing gene that
00:16:56.520 controlled, negatively controlled genes, other genes, why that would have anything to do with
00:17:01.880 aging. It was totally bizarre. It led to a string of cell papers. And one after another, every few
00:17:08.400 months, we were actually publishing something new and we had a science paper. And that was the gold
00:17:13.280 rush of this discovery because it really turned on the lights in this cave of a whole new area of
00:17:18.800 biology. And we're still trying to understand actually why those silencing proteins are relevant
00:17:24.100 to aging. But what we do know for sure is that these same genes, these sirtuins in all life forms,
00:17:30.000 whether they're from plants all the way to us, do play a protective role in responding to energy
00:17:34.740 and nutrients, just like the MP kinase in the mTOR pathway do.
00:17:38.140 So you alluded to SIRT2. Was that first found in yeast?
00:17:43.440 Yes, it was. It was known already, actually. Lenny and we didn't discover SIRT2. It was already known
00:17:49.980 as a silencing protein that controlled the mating type. In other words, the sex of a yeast cell.
00:17:55.680 And if you don't have the silencing, what happens is that the yeast cells get confused because they're
00:18:00.580 now turning on genes for A and alpha, which means male and female. And a yeast cell that doesn't know if
00:18:05.640 it's male or female will not mate and it's become sterile. And it turns out that's a hallmark of
00:18:10.840 yeast aging is sterility. So if you, you know, the way you can tell whether a yeast cell is truly old
00:18:17.000 is, is it sterile or is it just sick? And that's how we used to tell. But now we actually understand
00:18:23.500 the cause of that sterility. It's the actual, the movement of SIRT2 protein away from those genes
00:18:29.780 that it should be at to go deal with other problems in the cell.
00:18:32.600 I see. So it's not that SIRT2 becomes deactivated. It just, for lack of a better description,
00:18:39.420 shifts its attention elsewhere.
00:18:40.800 Right. It becomes distracted by other things going on in the cell. And, and we, we had a
00:18:44.560 cell paper in 1999 with Kevin Mills and Lenny, where we discovered, and a couple of other groups
00:18:49.700 should also get credit for co-discovering this, is that the sirtuins are also involved in DNA repair.
00:18:54.160 When you get a broken chromosome, it's the SIRT2 complex that goes along, helps unwrap the DNA,
00:19:00.020 we think, and put it back together and repair that. And while the SIRT2 complex is doing that,
00:19:05.380 it cannot be also silencing. There's not enough of it to go around. And you might ask, well,
00:19:09.520 why would the cell do that? Why don't you just make more SIRT2? What we think is that this is a
00:19:13.160 very ancient system that coordinates controlling mating and DNA repair. You don't want to be mating
00:19:20.760 and dividing if you've got a broken chromosome. So this is a way of coordinating those two events.
00:19:25.540 And it's very ancient. It's a very active system. You need DNA checkpoint signaling. So it's not just
00:19:31.400 random. But what we also have come to realize is that this, let's call it this distraction of the
00:19:37.800 sirtuins, it's conserved. We find this happens in our own aging process as well.
00:19:43.300 So there's really two roles. There's gene silencing and DNA repair. Now, sirtuins are HDACs. Is that
00:19:53.080 correct? Are they all HDACs? So HDAC, histone deacetylases, this is the old name for protein
00:19:59.360 deacetylases now. Because what we've all come to realize is histones are just one of the things
00:20:04.000 that sirtuins and these other HDACs do. They can target what are called non-histone proteins.
00:20:09.240 And they remove not just acetyl groups, but also other types of what are called generally acyl groups.
00:20:16.100 And so that's a whole new world. That means that sirtuins, the family, there are seven of them in
00:20:20.620 mammals, five of them in yeast, target other proteins, proteins that are in cytoplasm in the
00:20:26.160 nucleus, even in the mitochondria. And that's their role. It's not so much only about controlling the
00:20:32.320 chromatin and histone, but also about controlling signaling and metabolism as well. And they can do
00:20:38.820 that by targeting any protein theoretically in the cell. So what are the, you know, again, thinking back
00:20:44.940 to DAF2, DAF16 as the parallels with FOXO and IGF, were there elegant experiments in the yeast that
00:20:52.000 could show you extreme conditions of lots of sirt, no sirt, and what that phenotype is?
00:20:58.640 Oh yeah. These were the first experiments. So I'll try to take you through them correctly in sequence.
00:21:03.680 So what we showed with Brian, first of all, in the 1996 cell paper, was that we were looking for
00:21:09.660 this movement. There was this so-called age locus. We didn't know what it was. We didn't know where
00:21:14.460 they were going. We just knew that they left the silent mating type locus. So what we did was we
00:21:19.560 stained it. So Brian had moved on actually to his postdoc. And Kevin Mills and I, a student at the
00:21:24.400 time, our job was to find where are the proteins going. So we stained them and we could look at
00:21:30.200 them under the microscope. And what we saw was they were going to this little place in the nucleus,
00:21:35.440 which we eventually figured out was the nucleolus, which is what makes the rRNA, which makes the
00:21:41.900 ribosomes. It's a really important part. And the DNA that's within the nucleus is called the
00:21:47.500 ribosomal DNA or the rRNA. And that's where they were going, not just during normal aging, but also
00:21:53.660 during an accelerated form of aging. So there's a whole story that was lost in history, actually,
00:21:59.140 that maybe I'll just quickly touch on. One of the first things I did when I got to Lenny's lab was to
00:22:03.740 work on Werners syndrome, which is premature aging disease.
00:22:07.180 And these are kids that die in their teens or twenties, aren't they?
00:22:10.320 No, that's a different Hutchinson-Gilford syndrome. This one, Werners, they lived till
00:22:14.140 their forties. Yeah. But the gene was just cloned by George Martin and his team out there.
00:22:19.980 And the homologue in yeast is called SGS1. And I picked up the paper, it was in science,
00:22:25.220 I recall, went into Lenny's office and I said, I've just been scooped, but there's a yeast homologue.
00:22:31.620 I'm going to work on that. Is that okay? And he said, yeah, go for it.
00:22:33.880 And so we worked on SGS1 for a little bit. And what we found was that they were going through
00:22:39.200 accelerated aging as well. So we had a science paper on that. And what was exciting about that
00:22:43.260 was that they were also becoming sterile and the two complex was moving as well, just like the
00:22:49.240 normal aging. So we had this model, rapid aging model. And you might say, well, so what's the big
00:22:54.920 deal? You've got a rapid aging model. But A, that told us that there was some universal process that
00:23:00.260 results in premature aging in humans, probably in yeast, the same thing. And we could also study
00:23:05.640 this much more easily than an old yeast cell. Consider that to find a single old yeast cell,
00:23:11.680 it's really hard, especially if you're just studying replicative aging, which is the number
00:23:16.860 of times they divide. Each mother cell produces on average 10 to the power of 25 offspring.
00:23:23.500 Wow.
00:23:24.660 Okay. So that's, by my calculations, about 30 million offspring. And you have to pull out
00:23:29.860 that one cell and study it biochemically.
00:23:31.960 Wait, you said 10 to the 25.
00:23:33.620 Yeah.
00:23:34.300 Oh, sorry. Two to the 25.
00:23:35.780 Oh, okay. Okay.
00:23:37.000 Yeah. But in any case, that's way more. So what we used to do is to sort out the old cells. We'd label
00:23:43.560 them with a chemical and pull them out with magnetic beads. But it was a real, we couldn't get many of
00:23:48.780 them. You'd just get a handful. But with these SGS-Werner's proteins-
00:23:51.800 You could get a bunch of them.
00:23:52.980 The mutants. We could get a lot more. And so we'd made a lot of progress using that.
00:23:56.560 But every time we made a discovery with the SGS protein mutants, we went back to the normal yeast
00:24:01.680 cells and verified. But we were actually able to figure out with that mutant what the distracting
00:24:07.100 problem was for the circomplex. And that was actually DNA breaks and DNA recombination that was
00:24:13.640 occurring at the most repetitive regions, the most unstable region of the genome, which is the
00:24:18.320 our DNA, which is in the nucleolus. And that was what was distracting those proteins.
00:24:22.620 Interesting. When you knock out SIR2, is it easy to knock it out?
00:24:26.620 Yeah. So that was the next experiment.
00:24:28.100 Okay.
00:24:28.480 So then we wanted to know, the prediction is if you knock out SIR2, you should get a lot more of
00:24:32.740 this instability at the RNA.
00:24:34.140 Yes. And the question is, does it translate to accelerated aging or not necessarily accelerated
00:24:38.640 aging, but more cancer or some other phenotype, right?
00:24:41.260 Well, in yeast, it led to accelerated aging through the process I was telling you about.
00:24:44.480 Genomic instability, DNA repair went down. And also that happens in animals, although it's
00:24:51.140 a little more complex because it's embryonic lethal in a lot of mice. So you can't easily
00:24:56.840 do that experiment. But what you can do is the opposite. You can turn on or overexpress the
00:25:01.860 SIR2 gene in a yeast cell. And if we're right, you should get a few things that are going to
00:25:06.140 happen. You'll have more genomic stability at this, particularly at this RDNA locus in the
00:25:11.660 nucleus. And the yeast cells should live longer. And that experiment was done by an incoming graduate
00:25:16.700 student, Matt Cabellon. And what a fantastic project to get when you walk in. He did it.
00:25:22.800 And the day that he got lifespan extension with extra SIR2 was a very good one for him and the lab.
00:25:27.900 So what's the next step from there? The most obvious thing is how do you develop a compound
00:25:33.180 that would do this without the genetic mutation that empowered it?
00:25:37.200 Yeah, that was the issue because you can't easily genetically manipulate humans. So the
00:25:41.020 question was, how do you turn on these genes? Now, we spent about three, four years working
00:25:46.420 on caloric restriction in yeast and then in mammals. And my lab and some others were leading
00:25:52.160 the charge in showing that SIR2ins, both in yeast and mammals, were not only necessary but
00:25:58.380 were sufficient when you overexpress them to mimic calorie restriction. Put another way, if you
00:26:03.120 knock out SIR2, you don't get the benefits of calorie restriction.
00:26:06.020 You don't get the benefits of CR.
00:26:07.660 Right. And that's also now been shown by others to be true in mice as well. So that led to the
00:26:13.040 idea that- Is that true in all mice?
00:26:15.120 I couldn't say. Even in yeast, you can get around the need for SIR2ins if you stress the yeast really
00:26:21.060 intensely with very little amount of calories. But there are aspects of calorie restriction benefits,
00:26:28.360 such as a lifespan extension, that are ameliorated, lessened by a SIR2 knockout. But it's still
00:26:35.220 complexified by the fact that it's lethal in embryos. And you have to knock it out in the adult
00:26:40.520 to do a real experiment.
00:26:41.180 Yeah, it's the same sort of issue that Cynthia had with the DAFs, which was if you do too early,
00:26:45.740 the C elegans doesn't make it into an intermediate stage.
00:26:48.840 You know what? Somebody hasn't even done the proper experiment, which is to take a mouse that you
00:26:54.320 can knock out SIR1 in an adult, whole body, and then calorie restrict. Something that we probably
00:27:00.380 should have done years ago. We didn't. But the technology is there to do that. But what we did
00:27:06.040 learn actually was, both in yeast and in mammals, was that it's not just one of these genes that's
00:27:10.920 important. It's the whole family. And that if you knock out- Take yeast, for example. If you knock
00:27:15.260 out SIR2 in yeast, you lose the ability to respond to some mild calorie restriction. But if you
00:27:20.060 really calorie restrict them, they'll still live longer. And there was a big debate actually between
00:27:24.560 Brian, Matt, myself about that. And where we settled on was that these other SIR2-related genes
00:27:32.860 were also helping, and they work as a family. And if you knock one out, the others can compensate-
00:27:37.900 The yeast only have one?
00:27:38.920 Yeast have five.
00:27:39.700 Yeast have five. And humans have a whole family, like eight or something, right?
00:27:42.500 Just seven.
00:27:42.880 Oh, okay. So only two more. It's interesting.
00:27:46.000 Little known fact, most people ignore the other yeast SIR2ans, but they're just as
00:27:49.920 interesting. And what we've found is they also can extend lifespan as well.
00:27:54.400 So when you, actually, it's funny. I was going to go back to something else you said a second ago,
00:27:58.260 but what's the teleologic explanation for why caloric restriction and SIR2ans would move hand
00:28:05.160 in hand? I'm just like, you talked earlier about your appreciation for sort of evolutionary biology.
00:28:10.300 So an organism is, you know, in a nutrient deprived environment, it still has to be able to do a bunch
00:28:17.700 of things if it's going to be fit. Do we believe that that's an environment where we need to see
00:28:22.920 more stabilization of the genome or repair or silencing? Or what do we think is the biggest
00:28:27.440 insult during that period of time?
00:28:29.100 Yeah. So the biggest insult to any life form is a broken chromosome. That's lethal if you don't
00:28:33.200 fix it.
00:28:33.920 And do we see that more likely happening during nutrient deprivation?
00:28:38.040 I would see that as, I would have assumed, to be honest with you, I would have assumed that
00:28:40.100 was independent of nutrient exposure, or at least if anything, inversely correlated.
00:28:45.100 Well, if you don't have enough nucleotides to complete replication, you're going to break
00:28:48.720 a lot of times.
00:28:49.280 I see.
00:28:49.520 So they do go hand in hand. But the bigger picture is that the SIR2ans evolved, we believe,
00:28:55.380 what are we talking about, three and a half billion years ago in the first life forms,
00:28:59.140 early life forms. Maybe just after the first, one of the first proteins to actually evolve,
00:29:04.540 we think would be a SIR2an. And its job is to sense stress, biological stress in the environment,
00:29:10.260 whether it's DNA damage, or it's a burst of cosmic rays, change in temperature, or a lack
00:29:18.020 of nutrients. And their job is to allow that organism to hunker down and survive. Stop
00:29:23.980 mating, stop breeding. We can do that in another day. If we don't survive this, our offspring
00:29:28.780 are going to die anyway. So we think they control which genes to turn on and off in response
00:29:35.520 to adversity. And they allow those organisms to survive. But they're also talking to other
00:29:41.460 pathways. So they're going to talk to mTOR, they're going to talk to Cynthia's DAF pathway.
00:29:46.140 And collectively, these are the genes that we've settled on as the longevity pathways.
00:29:51.440 But they didn't evolve for longevity, they evolved for survival during adversity.
00:29:55.300 How conserved are these across, let's use the big four models of eukaryotes from yeast,
00:30:02.460 worms, flies, you know, larger mammals like mice and rodents. Is this relatively well conserved
00:30:08.100 the way the TOR pathway is conserved? Or does it have more bends in the road?
00:30:12.420 Well, they're surprisingly conserved that you can just manipulate one gene in each of these
00:30:18.100 organisms and get lifespan extension or one drug works in all of these organisms. I would challenge
00:30:22.860 anyone to use a chemotherapy to help a yeast cell. So this is quite a magical discovery that the same
00:30:29.080 pathways are that well conserved and that ancient. And that's actually one of the advantages we have.
00:30:34.820 Aging is actually not that difficult to be able to control. And that's because our models are very
00:30:40.580 good. I truly believe that if we can extend the lifespan of a yeast, a worm, and a mouse, humans are so
00:30:48.980 close. Right. If you can do it across a billion years, you should be able to make that leap to a few
00:30:54.620 other hundred million years. Exactly. It's really just the regulatory agencies and making sure that
00:30:58.540 we don't do any harm and it's safe. But the biology is all still there going way back three and a half
00:31:04.040 billion years ago. So it was 2006, 2007. When did resveratrol emerge as an early sirtuin
00:31:11.980 activator? 2003. Okay. And yeah, the story behind that was that we were looking for an activator.
00:31:19.020 We're hoping for an activator. Now, were you in your own lab at this point? Yeah. You finished your
00:31:22.240 postdoc, I'm guessing? Yeah. I managed to move to Harvard in 1999. So that was the year when a lot
00:31:31.160 of things happened. While I was moving, we published this DNA repair connection.
00:31:36.060 But just going back to the silly sort of social question, did you at some point think,
00:31:39.660 I want to go back to Australia and set up a lab here? Like, was it a difficult decision for you to
00:31:43.300 stay in Boston as opposed to... Because you came from Sydney, if I recall.
00:31:46.560 Right. Well, the goal was to...
00:31:47.860 Because like, those are pretty different climates. I've been to Sydney once. I spent two weeks there.
00:31:53.160 I could stay there. Yeah. I miss that. But I also like adversity. I thrive on adversity. And so I've
00:31:59.240 come to it like living here. The intention was to come here for two years. I had a job to go back to.
00:32:04.700 But the first week of being here in Boston was like a city I could only dream about. This is the
00:32:10.940 Athens of ancient Greece, Rome of ancient Rome. For biology, this is it. And so I was in heaven.
00:32:17.220 And I'd never experienced a city where you're on the train and people around you are reading
00:32:21.920 science magazine and nature. That's my dream. So it was a very easy decision not to go back to
00:32:29.200 Australia for reasons that if you really want to change the world, you got to do it from here.
00:32:34.580 So now you're in the process of kickstarting your own lab, which comes with its own stresses,
00:32:38.900 right? You've got to secure funding and all those other things. And then what's happening
00:32:43.080 on the front of this stuff? Yeah. So 1999, a few major things happened. One was this
00:32:49.980 DNA repair connection. The second one was Lenny's lab published that NAD was a requirement for
00:32:56.260 sirtuin activity. And Shinemai, who's at WashU now, was the postdoc who made that somewhat serendipitous,
00:33:02.320 but brilliant discovery. And then the third thing was the connection to calorie restriction was happening
00:33:07.980 around that time too. Going back to the second thing, we talk about it now today, like it's in
00:33:12.380 textbooks. It's so obvious, right? That sirtuins are NAD dependent deacetylase. Okay. NAD is so
00:33:19.300 ubiquitous in cells that if the quantity you could have in a cell varies on a scale from one to 10,
00:33:27.640 what is sufficient to produce this deacetylase activity? Is it anywhere from two to 10 or does it
00:33:33.840 have to be quite a high concentration? It can be two to 10. You can actually get very low levels in
00:33:38.540 some disease conditions and the animal is still alive. So it's basically only saying that NAD is
00:33:45.060 necessary for sirtuins to work. Right. Well, without NAD, we'd be dead in 30 seconds.
00:33:51.760 By other reasons as well. I mean, wouldn't we be dead just from not being able to do electron
00:33:55.960 transports? We would. And there's more than 500 reactions that we need just to survive. But what we
00:34:02.760 didn't know in the 2000s, and it was actually quite a crazy thing to think that NAD was regulating
00:34:08.080 anything. And that was actually what we first worked on in my lab was the control of sirtuins
00:34:12.600 with NAD levels. The reason it's crazy is you read textbooks and NAD is the most ubiquitous,
00:34:18.680 important molecule in the cell. How could it possibly be varied during aging, let alone during
00:34:25.540 the day when you eat something or your circadian rhythm? Now it's obvious. We know NAD goes up and
00:34:30.540 down, it changes with age. But in those days, people thought if you changed NAD levels, you'd
00:34:35.300 probably die. That's not true. Was it known at the time that doesn't complex one of the mitochondria
00:34:41.140 basically convert NADH to NAD? So you would at least know that in the mitochondria, the concentration
00:34:49.060 of NAD must go up and down or else you couldn't actually respire. Well, locally it goes up and down,
00:34:55.340 but the steady state level is pretty constant. And when you say going up and down, are you talking
00:35:00.620 cytoplasmic, nuclear, plasma? Where are we talking about? You know, we had a paper, I think it was
00:35:06.100 2007, where we had quite a surprising result, which told us that it's not just the cytoplasm that it
00:35:12.640 goes up and down. It was also the mitochondria going up and down. And we didn't know that. We
00:35:18.720 actually, we stumbled upon it. We found that if we kept cells with high amounts of NAD,
00:35:24.460 they would survive better. DNA damage, others, insults. And we could deplete NAD in the cytoplasm,
00:35:30.480 but they still, the cells still lived. And we didn't understand that.
00:35:33.560 How did you do that, by the way? How do you deplete NAD?
00:35:35.620 Actually, come to think of it, we could either overexpress NAD depleting enzymes, but actually
00:35:39.960 the way we found it was that when you damage cells with the DNA damaging agents, say chemotherapy
00:35:45.140 drug, the cells themselves deplete NAD naturally with this enzyme called PARP1, which is an NAD
00:35:52.340 consuming enzyme. And actually that's very well known that if you hit a cell with a DNA damaging
00:35:58.060 agent, the reason that it dies is NAD depletion. So we were measuring the NAD depletion in the
00:36:04.040 context of- And that's because the cell is trying to utilize that NAD to repair the damage you've just
00:36:08.680 caused? Right, right. Or you didn't know that at the time? No, that was well known. So PARP1 is a
00:36:12.960 known DNA repair protein. And that's, if you block PARP, you also protect cells. But what was
00:36:18.340 interesting was that we could overexpress, give more copies of a gene that made NAD. And this is
00:36:26.220 called NAMPT, which is the equivalent of the PNC1 gene in yeast, which we found was important for
00:36:31.760 lifespan in those organisms. So we were overexpressing this NAMPT. Cells had more NAD. We hit them with the
00:36:38.400 toxin. They'd survive better than the regular cells, but the NAD was still being almost completely
00:36:44.140 depleted from the cytoplasm. I'm sorry, just because this is sort of at the crux of it.
00:36:48.180 Did they survive because they were unable to deplete their NAD? No, we saw the NAD just disappeared from
00:36:54.920 the cell, but they survived. But they still survived. But there was a place we weren't looking at the
00:36:58.780 time. And we tracked it down to the mitochondria. So this begs the term, the mitochondrial oasis hypothesis.
00:37:05.140 So myself and Anthony Sauve from Cornell coined this term. Because what we found was that as long
00:37:10.500 as the mitochondria stayed active with their NAD, it didn't matter. The cell could survive and recover
00:37:15.400 from that stress. And actually it turns out that the levels in mitochondria NAD levels are even more
00:37:21.420 important than cytoplasmic NAD levels for survival. That makes sense. And of course, that's a hard thing
00:37:26.640 to measure, isn't it? It was extremely hard. That's where Anthony came in. Anthony is a chemist and a
00:37:31.560 biochemist at heart. And it was extremely hard to isolate these mitochondria, preserve the NAD in
00:37:36.480 them. We had to use new technologies to be able to do that. Well, how was that done? We were using
00:37:41.420 mass spectrometry for the first time to measure NAD. And what Anthony did brilliantly was to make
00:37:45.980 labeled versions of NAD in its precursors. And he could spike those in and use those as references
00:37:52.580 to measure NAD levels in these compartments. And NAD, if I recall from just biochemistry,
00:37:58.460 you don't get to move that in and out of plasma into cells. It's made de novo in the cell. You have
00:38:04.500 what you have. You can make more, you can bring in precursors, but you don't get to shuttle
00:38:07.760 NAD between cells, correct? As far as we know, right. Okay. Yeah. I mean, it's sort of like an ATP
00:38:13.920 problem. Like it's really hard to quantify ATP in a cell. By the way, does NADP do any of this as well?
00:38:20.800 Well, it's important, no doubt. It's part of this whole problem that we're working on. But if you add
00:38:27.880 NADP or even NADH, which is only different by 100, those don't work to activate sirtuins,
00:38:34.940 only NAD plus will do that. And I mean, not to get too nerdy on this, but it's obviously more
00:38:41.160 than just the charge, but the charge must play a role if NADH can't work, right? So it's probably
00:38:45.780 a combination of the charge and some other size. Yeah. Okay. So now you've made these three
00:38:53.460 discoveries, the second of which we just went into in a little bit more detail. How does the story
00:38:58.580 unfold now? You've got your spanking new lab. Well, you worked for a little while on the SGS1
00:39:04.000 bonus protein and telomeres, put out a paper on that. And we didn't work on sirtuins for about a
00:39:09.280 year because Lenny said, I don't want you working on sirtuins when I left the lab, which was a bit
00:39:13.900 of a shock. Why? He doesn't want, didn't want the competition, I suppose. But I thought a year
00:39:19.160 was enough to give him a headstart, but we quickly started working back on that. Is that a common
00:39:23.640 request of people when postdocs leave their labs? No, of course not. But what am I going to do? I
00:39:28.560 mean, the guy, the guy trained me. I go in my career, but in those days it was very competitive.
00:39:33.320 And so, you know, the Lenny of today is not the Lenny of previous years. And he's a wonderful friend
00:39:38.260 and mentor to me, but that's how it was in those days. It was very cutthroat. I see. But if it were
00:39:42.560 up to you, you would have continued to work on sirtuins. Right. So then now we're basically back
00:39:47.220 to 2001, 2002. The moratorium is up. You're now back to working on it. And nobody at this point in
00:39:52.820 time has yet figured out a way to exogenously manipulate sirtuins more than the stuff that
00:39:59.520 we've already talked about, which is nutrients, stress, and things like that. Yeah. We were trying
00:40:04.260 to feed yeast, NAD, and we gave them nicotinamide, which is a precursor to NAD, vitamin B3. And
00:40:10.400 actually Kevin Bitterman, who's now a very successful venture capitalist, my first student,
00:40:15.120 he put nicotinamide on yeast and we could measure the sirtu activity by the color. And if sirtu was
00:40:19.840 more active, they'd turn red. And he walked into my office, one of his first experiments when we
00:40:24.580 worked on sirtuins, and he said, David, something's weird. We didn't get activation. We got inhibition.
00:40:30.840 So the yeast had gone red. And I said, Kevin, it doesn't matter what happens. If it's unexpected,
00:40:35.500 that's even better. So that led to a paper that said that vitamin B3 high doses is inhibitory
00:40:40.780 of sirtuins. And now the labs around the world use nicotinamide as an inhibitor for sirtuins. And
00:40:46.580 I wouldn't recommend taking really high doses of nicotinamide.
00:40:49.540 Why is that?
00:40:50.420 There's a few answers. Biochemical answer is that there's an evolved pocket in the sirtuin
00:40:55.500 structure that measures nicotinamide levels, and it's a feedback loop. So nicotinamide is,
00:41:00.760 to get nerdy, is the product of the reaction. It takes NAD, cleaves it.
00:41:06.720 Oh, I got it. So it's just a negative feedback loop.
00:41:08.460 It's negative feedback loop.
00:41:08.840 It's seeing too much B3, and it's saying, I have too much of my output.
00:41:13.200 Slow down.
00:41:13.620 Turn it down.
00:41:14.160 Exactly. So we struggled with that. We couldn't get NAD to go into cells. It's too big.
00:41:18.280 Even with mammalian cells, it's difficult. So we were looking at ways to make more NAD in the
00:41:23.080 cell. That was our original thesis before asveratrol was on the radar. And we were turning on and
00:41:28.980 discovering the genes that made NAD in yeast. And we cloned some of the genes in that pathway.
00:41:34.360 And there was one particular one that is called PNC1. And it had been studied in the context of
00:41:40.260 tuberculosis. And what we found was that when we calorically restricted yeast cells, this was one
00:41:47.020 of the most highly upregulated genes in the whole yeast cell, which was very unusual. People had
00:41:53.080 discovered this before in their own lab, but they were wondering, what the heck is this NAD
00:41:57.600 synthesis pathway? Got to do with calorie restriction, got to do with stress. But we knew
00:42:03.360 exactly what was happening. This is a stress response that was turning on NAD production and
00:42:08.560 activating sirtuins. So we had our first nature paper actually on that 2002, I think, 2003. And we
00:42:16.560 found that PNC1 could mimic caloric restriction and raise NAD availability. And then if we knocked
00:42:22.140 out the PNC1 gene, yeast cells didn't live longer when we calorie restricted them. And what's really
00:42:27.600 interesting about that, I think, is that PNC1 doesn't just get turned on by caloric restriction.
00:42:32.860 It's turned on by heat, low amino acids, salt, high salt. And so this is a gene that senses the
00:42:40.920 environment and turns on the sirtuins. Exactly what I was explaining earlier about those early life
00:42:46.000 forms on the planet, sense their environment, and through NAD and other ways, they can turn on
00:42:50.620 these pathways for defense. So where did you go from PNC1 to resveratrol?
00:42:56.300 Well, we teamed up with a company at the time, they were called Biomol, and they were making
00:43:01.840 reagents for HDAC assays, this kind of thing. And Conrad Howitz was a scientist there, and he had
00:43:07.920 invented, wasn't even available yet, an assay for sirtuin activity in vitro. I forget why he reached
00:43:15.120 out to me, but he said, hey, well, maybe I wrote to him, but whatever happened, he sent me some kits
00:43:19.760 to test. And they worked, and it looked great. And what was the gold standard prior to these kits?
00:43:25.920 Oh, gosh. A measure to an activity required Western blotting, which is detecting the cell
00:43:31.300 groups. It was horribly hard, still is. And this was a very quick way to look for molecules. And what
00:43:36.560 Conrad did was to take that assay and look through his collection of molecules at Biomol. They had
00:43:42.500 libraries of these things. And two of the first molecules that were discovered by him
00:43:47.960 to change the activity of SIRT1, human SIRT1, were a couple of plant molecules. Now,
00:43:54.000 he found plenty of inhibitors. That was-
00:43:56.720 Inhibiting wasn't the hard part.
00:43:58.240 Exactly. But he called me up and he said, David, something's weird. We've got these
00:44:02.940 molecules that seem to activate the enzyme. And I said, that's great. That's what we need. And he
00:44:08.840 goes, well, I don't know if it's real, but let's work on this. So we worked on it together
00:44:13.260 for about six months, trying to prove this wrong. Because in the history of pharmaceuticals,
00:44:19.120 there's only been a handful of molecules ever that have been true allosteric activators,
00:44:22.780 as these apparently were. But we thought it could be fake. It could be messing with the
00:44:27.800 assay. It could be an antioxidant activity. But what really clinched it for me at first was,
00:44:33.740 we put these molecules onto cells. And they lived longer, but only when the SIRT1 gene was present.
00:44:41.260 And the chance of that happening and us being wrong about this idea were pretty low. So that
00:44:46.860 was a good sign. But the other thing that's not well known in history is that those first two
00:44:50.700 molecules that Conrad Howitz discovered, they were not resveratrol. They were actually,
00:44:56.260 I think, pisciotanol and quercetin. Quercetin's found in fruits and onions, I think.
00:45:01.040 But there was a brilliant CEO, Rob Zipkin. And Rob was a chemist. And Conrad showed him these
00:45:08.700 structures that were quite similar, these two molecules. They look like two rings connected
00:45:12.840 by a bridge. And Rob said, hey, you know what these two molecules look like? Resveratrol.
00:45:19.320 And so Conrad and I are like, oh, what's resveratrol? Anyway, I certainly was. I didn't know much
00:45:25.380 about resveratrol. But I Googled it. And it comes up with, I'll suspect an ingredient for red wine.
00:45:31.220 And I could just see the next 10 years of media, which actually happened. But it was an interesting
00:45:38.320 time because we were, it was the first molecule that I can recall was clearly lifespan extending
00:45:44.580 in an organism that you had a defined genetic pathway that wasn't just found off the shelf.
00:45:50.180 We really knew the pathway and we figured out. And it's still, as far as I know, the only drug
00:45:55.000 program that, that has come out of the aging field where it was by design that we find these
00:46:02.020 molecules. So, you know, full credit to Dave and to others who have their molecules that have come
00:46:07.700 out of drug development. So when they first started to make resveratrol for the purpose of
00:46:11.440 these experiments, they weren't extracting it out of naturally occurring sources. It was just being
00:46:14.800 synthesized straight away, even though it was acknowledged that, hey, this thing also exists in nature.
00:46:19.400 Well, no, I think that probably was an extract, but I'm not being very articulate. But the point
00:46:24.380 I want to make is we did it in a different order. So rapamycin and metformin were already
00:46:30.500 on the shelf doing other things discovered by others for doing things. And then you can trace
00:46:35.580 them back to the pathway and you get lifespan extension. We didn't do it that way. We said,
00:46:39.940 here's the pathway.
00:46:40.800 This was the direct target.
00:46:42.240 We went genetics first and then found a molecule and then tested it on the organism, which is,
00:46:46.560 you can do it both ways, but this was more rational science. But anyway, that's the reason. But we
00:46:52.860 also had this very interesting result that we found a yeast mutant that, and actually a certain one
00:46:59.860 mammalian mutant that was blocked that couldn't respond to resveratrol. So we already knew that
00:47:06.480 there was an amino acid that was required for this activation by resveratrol in the test tube,
00:47:11.860 which told me this isn't just some random thing. This is a highly conserved mechanism because we
00:47:18.160 could also show this amino acid was found in other organisms as well.
00:47:22.540 And which amino acid was that?
00:47:23.800 In SIRT1, it's called E230 and the mutation made a lysine. So it went from a negative charge to a
00:47:28.400 positive charge at that location. We didn't know why it blocked it. Now we do, but that was one of the
00:47:34.660 early things that we had in our knowledge base to be able to go forward.
00:47:39.940 Now, when you put resveratrol in cell culture, like you had with the previous two compounds,
00:47:45.440 you mentioned with the previous compounds, if they lacked SIRT2 and they did not get the longevity
00:47:49.840 phenotype. Did you see the same thing with resveratrol?
00:47:52.640 We did in yeast and then in worms and then in flies. And so the fly work, a couple of Brown
00:47:57.580 University scientists, Mark Tater and Stephen Helfand did the fly work. We did the worm work
00:48:01.800 predominantly. And that went into another science paper, I think 2005, 2004. And what was exciting
00:48:08.780 about those days was that here we had things as distant as a yeast cell and a fly separated
00:48:14.620 probably by 500 million years or more. And we had a SIRT2 dependent drug lifespan extension,
00:48:22.400 molecule lifespan extension, which to me said that we're onto something interesting here.
00:48:26.520 Yep. Remind me, what was the phenotype of the non-SIRT bearing organism?
00:48:33.320 Oh, now you're stretching my memory. In flies, I don't recall there being a strong phenotype. If
00:48:39.420 you're asking, were they really short-lived?
00:48:41.120 Yeah, yeah, yeah. That's what I'm basically trying to get at is when you demonstrate the
00:48:45.180 first proof of concept, which is this drug won't work on you if you don't have SIRT. In other words,
00:48:50.940 I think where I'm really going with this is, are there other plausible explanations for how these
00:48:56.400 compounds could have extended life outside of SIRT2?
00:48:59.960 Yeah, yeah, sure. There's plenty of possibilities. I mean, it could have just been that the SIRT2s
00:49:04.420 were making them so sick that they weren't. But one of the reasons that we thought that it was real
00:49:09.260 was that we tried to rule out every other possibility. We fed flies, antioxidants, even if you
00:49:14.420 got life-saving extension, it wasn't through the SIRT2s. You know, you can only make hypotheses and test
00:49:19.500 them as best you can with the tools you have in those days. That's what we did. But now we can
00:49:23.400 actually go back and replace the SIRT2 and mutant with this point mutation that only knocks out,
00:49:30.020 changes one amino acid, which is real. That's real microsurgery. And when we do that and we go back
00:49:36.820 now, we can still see a requirement for SIRT2 for these effects.
00:49:41.440 So it was the mouse paper in 05, 06, that was the one that kind of brought this to everybody's
00:49:49.940 attention, even outside of the aging community, correct?
00:49:52.300 Right. Well, so the resveratural story in yeast was one thing, but when the mouse paper came out
00:49:57.340 in Nature in 2006, it went global and it caught the attention of probably most people on the planet,
00:50:05.180 certainly those who drank wine paid attention. The wine industry sales, I'm told, went up 30%
00:50:10.080 and have stayed up. But yeah, that was 2006, very interesting time. And what's not well known
00:50:17.480 in history is that we didn't know if this was going to work. I mean, it was a real Hail Mary pass.
00:50:22.840 Going back to that experiment, those were not wild type mice. Those were overfed mice, correct?
00:50:28.180 They were metabolically ill?
00:50:30.140 We had both experiments running in parallel, but we got the results earlier for the fat mice.
00:50:34.740 And that was what? So you had the control mice and you had the treatment mice, the control mice,
00:50:39.820 but both mice were fed the same, which was a sort of high fat, high sugar, metabolically disruptive
00:50:44.380 diet, presumably the usual.
00:50:46.520 Yeah. The so-called Western diet.
00:50:48.360 Yeah. Yeah. And in that, so what was the outcome of that experiment? How much longer did the
00:50:54.080 resveratrol treated animals live approximately?
00:50:56.520 I think it was 20%, something like that, 25%.
00:50:59.060 And that was initiated at what age?
00:51:01.400 A year.
00:51:02.360 So those are pretty mature mice. They're middle-aged mice almost, right? They're what,
00:51:05.800 30, 40 years old equivalent?
00:51:07.280 Exactly.
00:51:08.380 What dose? Do you remember?
00:51:09.760 I'm going to guess, I think it was 200 milligrams per kilogram.
00:51:14.540 Per day?
00:51:15.260 Per day. But we also had a group on feeding every other day as well. And those turned out to be
00:51:21.260 pretty interesting as well.
00:51:22.280 That's a pretty high dose relative to, did the ITPs that came out that following used doses that high?
00:51:28.020 So we've done it now in two different doses. We've done 210 times less.
00:51:33.940 Okay.
00:51:34.020 And it actually, it works in both. And what we find actually is that the higher dose
00:51:39.620 is acting on other pathways, including the AMP kinase metformin related pathway.
00:51:45.540 Activating it? So it's synergistic with metformin?
00:51:47.860 We don't know that. But part of the debate about resveratrol is that
00:51:52.160 if you give cells in culture or mice too much resveratrol, then it kicks in other pathways.
00:52:00.620 And in this case, it was activating AMP kinase as well. We published that in our first paper in
00:52:05.020 2006 in the supplemental that most people haven't read. But we knew it was activating AMP kinase at
00:52:10.280 that high dose. And what that means is that when you're activating multiple pathways, it's very hard
00:52:15.160 to dissect that. So we, these days, both in cell culture and in mice, we're very careful to use
00:52:21.800 the minimum dose to get an effect, not overdose, because it just makes things much more complicated.
00:52:27.520 So that you mentioned that you had a parallel experiment that was done in presumably mice
00:52:32.040 that were not overfed. What did that experiment show?
00:52:35.560 So the fat mice, they were healthier. That goes without saying, I think most people know that.
00:52:39.780 In the thin mice, they also were healthier. They had better cardiovascular system, less cancer,
00:52:44.820 a whole variety of things that were exciting. It didn't reach statistical significance when they
00:52:49.000 ate resveratrol every day. But if we gave it to them in their diet every other day,
00:52:54.200 we saw a lifespan extension that tells me a couple of things. One is that it could be that
00:52:59.440 being fed every other day kicks in some other pathways that are helpful. We don't know that for
00:53:04.080 sure.
00:53:04.180 Wait, we'll be kicking in pathways that aren't helpful, wouldn't it? If I understood you correctly,
00:53:08.040 didn't you say that the mice, the non, so the lean, we're going back to the lean experiment. If you
00:53:12.440 fed the treatment animals resveratrol every day, they did not have a statistically significant
00:53:16.620 survival advantage. If you fed them resveratrol every other day, they did. Is that what you said?
00:53:20.920 Yeah. Every, so if you only give them food with resveratrol every second day, we had mice that
00:53:26.540 were living far longer than just that, just the diet alone.
00:53:30.160 Were they being fed non-resveratrol food on the alternate days?
00:53:34.220 No, they were hungry.
00:53:34.660 Oh, so they were calorically restricted.
00:53:36.060 Correct.
00:53:36.460 Okay. So there's now two very, so they could have been the caloric restriction that was
00:53:39.800 extending their life.
00:53:40.620 No, because the resveratrol added on to that as well.
00:53:43.400 So there was another control of just being fed every other day.
00:53:45.940 Exactly. Right. Right. And that came out in a cell metabolism paper in 2008.
00:53:50.080 So from that experiment, one might conclude that resveratrol enhanced caloric restriction,
00:53:55.800 the response to CR.
00:53:56.780 It did. Yeah.
00:53:57.720 So if you had a control group, a CR group fed every other day, and then a CR plus resveratrol
00:54:04.460 group, you would see a dose response.
00:54:06.500 And we did that. And one of the things that might have been happening is that now resveratrol is not
00:54:11.660 a very potent molecule. We've got things that are a thousand times more potent now. But the other
00:54:15.800 problem with resveratrol is that it's not very soluble. And the blood levels, both in mice and in
00:54:19.840 humans, doesn't get up very high unless you eat some fat. So that Western diet, we had much better
00:54:25.880 absorption than this low dose lean diet. And so it may have just been getting the drug on board,
00:54:32.940 quote unquote, the drug, or it may just be that resveratrol isn't potent enough or that we're
00:54:38.320 wrong about this. But the reason I don't think we're wrong about the sirtuins is when you
00:54:42.160 overexpress the gene in the brain, for example, it will extend lifespan and other sirtuins do that as
00:54:48.680 well. Just going back to that, that's a very interesting idea about the fat solubility.
00:54:52.600 Was the experiment ever done where you took mice and you fed them with and without the
00:54:58.160 resveratrol? Because presumably it's not the solubility of the fat that they're eating.
00:55:02.440 It's the bile acids that enable the emulsification of the molecule and the, you know, whatever,
00:55:07.960 the jejunal absorption. So that would be a quick way to show, even without a hard outcome,
00:55:13.380 if you were just getting more into the cells, right? If the resveratrol had greater absorption
00:55:17.100 with and without a fatty food that's resulted in bile acids secretion.
00:55:21.340 Yeah. Well, we didn't measure bile acids, but we could definitely see by measuring
00:55:24.800 blood levels that resveratrol was getting on board when we gave some fat in the food.
00:55:29.940 And that's true in humans. That's why if I take resveratrol, I do it with something that's
00:55:36.160 fatty. So some oil, a yogurt, it works really well.
00:55:40.020 Got it. Okay. Well, that's, so that's elegant. Okay. So then three studies come out thereafter.
00:55:45.560 Two of them were ITPs through NIA. One was not, you were on two of those papers, I believe. And one
00:55:52.860 of them, actually two of them were sort of looking at multiple molecules in testing, correct? And I
00:55:59.000 think one of them, I thought it was odd because it looked at rapamycin, which made sense. And then
00:56:03.280 simvastatin and then resveratrol. I never understood the simvastatin part. Even like, I wouldn't expect
00:56:08.120 that a short-term treatment with simvastatin would have much of an outcome. What did those studies find,
00:56:14.020 the ITPs? They just showed what we already published, which is that if you give resveratrol
00:56:18.800 in regular food, it doesn't extend lifespan. And why did they, why couldn't that have been
00:56:22.540 overcome? I mean, that seems like they should have given that you'd already put, cause you
00:56:26.160 published yours in 06. These were like 08 and 11 or 11, 12, something like these were several
00:56:31.420 years later. Well, yeah, those scientists didn't consult me at all. They just put in the food
00:56:37.180 and went for it. I see. So in parallel to this now, something really interesting happens,
00:56:42.760 which is all of a sudden a pharma company takes notice of something, which is resveratrol. Was
00:56:48.640 there an IND that gets filed on that or was this a pure grass application and meaning an FDA sort of
00:56:54.220 generally regarded as safe pathway? How was resveratrol taken into a clinical trial with
00:56:59.580 humans? Well, what was going on in the commercial side was screening of more molecules. So there was
00:57:05.080 a whole bunch of synthetic molecules that we can talk about. Resveratrol itself was considered a
00:57:10.160 proof of concept molecule largely. If it ended up in the clinic, it would have, I mean, as a drug,
00:57:14.500 it would have been great. But what we were trying to do- And your intuition was, it might be, it might
00:57:18.800 not be. Well, we knew it was a terrible molecule. Because of the solubility alone. Yeah, right.
00:57:23.260 But we- Was it millimolar? Like what kind of concentrations were needed once it was in the
00:57:27.240 plasma to reach its, is it a, is it a micromolar or millimolar drug? Yeah, it's a micromolar,
00:57:30.920 which is, it really, that's not a drug you'd want to go ahead with, but it allowed us to,
00:57:36.080 to get into humans and see what would happen. Do we see the same kinds of things? Or could we deliver
00:57:41.120 it on the skin or in the eye? So that was our goal. And there was some very good formulation
00:57:45.700 chemists who were trying to, and succeeded in working out ways to make resveratrol absorbable
00:57:51.760 in the body. And there were some clinical trials that were initiated under an IND. And
00:57:57.920 there was one that was looking at blood sugar levels. And that one I think is published now.
00:58:05.000 And what kind of doses were they using in the phase one? Do you remember?
00:58:08.160 It was massive levels because the scientists that were running the studies, they were worried that
00:58:14.360 there wasn't enough bioavailability. So they were giving, I think, 10 grams a day, which is-
00:58:19.540 Was there any toxicity at 10 grams?
00:58:21.700 Unclear. Unclear. There was some, in regular people, there was nothing. There was a couple of
00:58:28.000 patients in a cancer study that had renal failure, which happens anyway in these late stage patients.
00:58:34.400 So that, but that was enough to say, this is not worth it because this isn't a blockbuster drug
00:58:39.580 anyway. It's a probe at best, at least according to the company that was running the trials.
00:58:45.320 So they, you know, exercised an abundance of caution and stopped that trial in the cancer
00:58:51.240 patients.
00:58:51.740 That's odd. Why was it being done in cancer patients?
00:58:54.140 Well, part of it was that, trying to remember, but the person who was running the trials had a lot
00:58:58.260 of experience in it. But I recall that there was some animal data or at least some in vitro data
00:59:04.980 that resveratrol could help there.
00:59:06.600 I see. So I didn't, I didn't actually realize that at all. I didn't, so you're saying it was
00:59:11.120 in a phase one that they had this questionable outcome and thought, well, maybe it's not worth
00:59:15.840 pursuing this and we'll move on to the second and third generation variants of these?
00:59:19.620 Well, right. So the company was, was bought by a large pharmaceutical company and a large
00:59:25.180 pharmaceutical company looks at resveratrol and they say, this is not a drug. This is not
00:59:30.820 something that we want to continue with. And so that was certainly part of the decision I'm
00:59:35.500 imagining. But what was, they really were excited about whether the new chemical entities,
00:59:40.580 there were hundreds of them made that were very potent drug-alike molecules that they wanted
00:59:45.680 to take further. And they did take those into humans as well. And I should mention that those
00:59:50.060 molecules have been in mice and Rafa de Cabo deserves a lot of credit for doing that. And so
00:59:56.440 he's taken the same molecule that went into humans, put them into mice, these same one-year-old mice
01:00:02.180 and found that those do live longer, even on a regular diet. So that's why I think maybe it's
01:00:08.780 just resveratrol wasn't as potent as we needed it. And these other molecules succeeded.
01:00:12.260 Now you mentioned, and I want to come back to this at the end, because it's, it's interesting.
01:00:15.960 You're one of the few people in this space who speaks openly about, you know, look in the presence
01:00:20.420 of incomplete information, I still take compound XY. You alluded to a moment ago, you still take
01:00:24.300 resveratrol without having any certainty. Is it your hypothesis that you might not be taking enough,
01:00:30.900 but it's unlikely that there's any harm. And you said you take how much about a gram?
01:00:34.420 Well, so my calculation is this, first of all, I like experimenting. That's, you know,
01:00:38.740 I'm not afraid of death. That's for sure. But I want to be the first person to know if there's
01:00:42.480 a problem. So I'm also keenly aware that what's going to happen to all of us if we don't do
01:00:48.580 anything is not pretty either. And so what have I got to lose? It's cheap. I've got buckets of it
01:00:53.500 in my, in my basement. There's been never any sign of toxicity. It's been in humans for,
01:00:58.440 for a long time now. So that there's no downside.
01:01:01.160 Bigger risk, it would seem, is what if you're not taking enough?
01:01:03.680 Sure. But, you know, one gram, I think if it's not, if it's not working at a gram,
01:01:07.780 then it's not working. I don't think it's worth going higher. But, you know, what's important
01:01:13.240 is that we've made advances since then. We're talking about discoveries from a decade ago.
01:01:18.320 We've got much better things now. So I still take my resveratrol because I've seen enough data
01:01:23.500 in humans as well that it can protect the heart. You know, is it going to make me live 10 years
01:01:29.120 longer? Probably not, not even five, but will it potentially delay cardiovascular disease?
01:01:35.180 Absolutely. So why not?
01:01:36.400 You mentioned in a talk that you, I think you mentioned this in the talk, but you take
01:01:39.880 metformin as well.
01:01:40.960 Yeah, quite recently, probably at least half my colleagues that I talked to.
01:01:44.300 Yeah. Now you're only taking a pretty low dose, if I recall from at least what you said in that
01:01:48.800 talk. Is that because of the additive effects potentially of resveratrol also activating AMPK?
01:01:54.840 Yeah, you're exactly right. If you're starting to take combinations of molecules like I do,
01:01:59.120 you want to ramp it up. We're going into unknown territory. So I mean-
01:02:03.000 Especially if there's overlap in these pathways, right? As you've alluded to.
01:02:06.280 There absolutely is overlap. Anyone who says there isn't is myopic or lying. These are pathways
01:02:13.160 that are additive. So it could be that taking two grams of metformin plus I'm taking two other
01:02:18.840 molecules would be overdosing it. And I don't want to do that. So what I do is I start on a reasonable
01:02:24.840 low dose based on all the data that I've read. And then I make sure that I'm okay. I feel okay.
01:02:31.140 My blood tests are okay. And then, you know, I talk to the experts. They're all my friends. And I
01:02:36.320 say, what do you think about going up to one gram, one and a half grams? So actually recently I have
01:02:41.560 gone up to one and a half grams given advice from people who shall remain nameless.
01:02:45.540 Yes. We'll keep everybody nameless. So let's fast forward to some of these other molecules because
01:02:50.660 this story is just so interesting and feel free to go back and patch pieces of history if it makes
01:02:57.160 things to where we are today. But today we are in a place where there's a company,
01:03:02.080 there are two companies out there that are selling NR, precursor to NAD. They're packaging it with,
01:03:08.620 is it a terastilbene?
01:03:10.480 Right.
01:03:11.060 Tell me what that molecule does specifically and why it would make sense to include that with NR.
01:03:16.420 Yeah. So terastilbene is essentially just resveratrol with some methyl groups on it. It's a
01:03:20.880 more novel, sexier version of resveratrol, but that's the-
01:03:24.560 But is it any more active in your opinion?
01:03:26.440 So Lenny has told me that it is, but I don't know enough to be able to give a sensible answer.
01:03:31.460 Okay. So you now have a SIRT activator with an NAD precursor that are both basically over the
01:03:39.820 counter, right?
01:03:40.580 That's right.
01:03:41.200 So tell me about the excitement in that space. I don't want to get too much into the politics
01:03:45.440 of the companies because they're, at the time of this recording, they are in World War III.
01:03:50.140 So let's just talk about the science and not sort of all the other stuff.
01:03:54.100 Yeah. Well, if you take the 40,000 foot view of this, so Lenny is in his 60s now and I'm in my 40s,
01:04:01.980 very late 40s. And you've got to do a calculation. How many years do you have left to not only see
01:04:08.340 what happens, but potentially even be vindicated? And I'm sure that's part of Lenny's thinking.
01:04:13.200 What would Lenny be vindicated for?
01:04:15.020 For finding that the sirtuins are important for health, longevity in humans.
01:04:20.720 Oh, I see. Meaning that following this discovery, some of the air left the balloon and now there's
01:04:27.520 a resurgence of, hey, no, it really did matter. Is that what you mean by being vindicated?
01:04:32.400 Well, I think there's a race to see whose pathway is more important.
01:04:36.420 Got it.
01:04:37.120 And the sirtuins and mTOR and ambikinase and some others are in this race. You know,
01:04:43.800 I think it's a silly argument because they're all important and they talk to each other.
01:04:46.920 But, you know, ego is involved and people want a legacy. And Lenny's legacy, as I understand it,
01:04:52.720 can't speak for him directly, but is that he wants to have made a major contribution to human health.
01:04:58.780 And this is a way of showing that within a timeframe that's reasonable, who wants to wait
01:05:03.520 another decade? If I was him, I wouldn't want to. And so I think that that was a good way of
01:05:09.140 being able to quickly test the hypothesis in an area that, you know, going through the supplement
01:05:14.940 route. I, on the other hand, I think because I'd had the good experience with pharmaceuticals and I
01:05:21.160 also have more time to wait, I took that route. And so the two of us are heading in parallel.
01:05:27.040 You know, we're very good friends. We talk all the time about this, but it's an interesting from an
01:05:31.100 historical perspective that we've got these two guys who are taking very different routes
01:05:36.580 to what we hope is achieve the same thing, which is to help people in the end.
01:05:41.720 And Elysium, obviously they've talked very publicly about their goal is to sort of provide
01:05:48.040 a supplement, but at a much higher quality, obviously in the United States. I can't speak
01:05:51.960 to this in the, in other countries, but the regulatory environment here is quite unique in that
01:05:56.060 basically these supplements are quite unregulated. So you're sort of at the mercy of the person who's
01:06:01.100 making the supplement. And obviously having a number of Nobel laureates involved with a company
01:06:06.060 like Elysium and a commitment, a public commitment to use the highest quality stuff,
01:06:10.460 at least a person can buy this and say, look, I'm not getting crushed bird feathers, which I'm
01:06:14.360 pretty much guaranteed to be getting with half the stuff I buy online. Look, I bring this up because
01:06:19.280 I think half my patients are either taking Elysium's basis or the fact I can't remember the name of the
01:06:24.780 other company, Chromadex is the other. Yeah. Half my patients are probably taking NR. They always ask me,
01:06:30.520 what do you think? To which I say, I have no earthly clue. I'm pretty sure it's safe. So that it passes the
01:06:35.740 first test, which is, I don't think it's hurting you. One of the issues I've always struggled with
01:06:39.680 is if it worked half as well as it works in the mice, it shouldn't be subtle. You know, you showed
01:06:47.500 in one of your talks and exercise, a contrast between two mice running on a treadmill. And that
01:06:52.660 was actually one of the milder successes. That was like, you know, a 50% improvement in exercise
01:06:57.260 tolerance. I've seen other studies that talk about an 80% improvement in exercise tolerance.
01:07:01.640 If people were experiencing a 20% improvement in exercise tolerance, I'd believe we'd know about
01:07:07.040 it. Do you feel that that's happening and we're missing it? Or do you feel it's just not going to
01:07:11.880 be possible to elucidate that without a clinical trial, even though it's a supplement?
01:07:16.180 I get a lot of emails every day.
01:07:18.440 You might be the single most emailed person on this topic, I'm guessing, right?
01:07:21.580 Oh, yeah.
01:07:22.200 Wait till your book comes out.
01:07:23.280 Probably a thousand of them this week, actually. And I'm not exaggerating. And to any of you who've
01:07:29.260 written to me, I'm sorry, I just can't answer them all. I will try. One of the main questions
01:07:33.400 is-
01:07:33.860 Well, hopefully by having this discussion, let's go as deep as you want into it so that you can say,
01:07:38.220 go listen to that discussion and you'll get all your nuanced points across.
01:07:43.720 Yeah. Or go buy my book.
01:07:45.280 Even better.
01:07:45.840 That's coming out next year in 2019.
01:07:47.820 Do you have a title for it yet, by the way?
01:07:49.320 It's a tentative title.
01:07:50.860 Okay. So at the time of this recording, for people listening, we don't yet know the title,
01:07:54.820 but David's book will probably be out in the late summer, early fall of 2019.
01:07:58.820 That's right.
01:07:59.200 Okay.
01:07:59.620 Yeah. So I have some insights into this NAD world as it's developed. It's extremely hot. They're
01:08:07.320 selling tons of the material, which is great. It helps people. Now, I get a lot of emails from
01:08:14.300 people who claim and they show me data that they used to do races when they were 40 and then now
01:08:22.560 they're 60. They can't win races. They can't cycle, but they've gone on this or that in our
01:08:27.700 product or even NMN and now they're winning races again. So these are stories I hear constantly every
01:08:33.640 few days, but I can't judge those because these are people I don't know. There's no placebo,
01:08:37.640 but I think that some of this, if it were true, that's what we would expect. If these molecules could
01:08:45.640 help people, you would hear these anecdotes, which I hear, but I can't declare that I know anything
01:08:51.280 more than you do, Peter, about this because they're all anecdotes. So that's why we're doing
01:08:55.920 a human clinical trial.
01:08:57.420 Now you mentioned NMN a moment ago. Can you tell us listening to this, the difference between NR,
01:09:04.000 nicotinic riboside, which is a one step precursor to NAD and NMN?
01:09:07.960 Well, it's very simple. So NR is converted by the body into NMN and then NMN is immediately
01:09:13.480 converted to NAD. So those are the steps.
01:09:16.220 So I misspoke. I actually thought it was NR that was one step away from NAD and NMN went to NR,
01:09:22.280 but it's the other way around.
01:09:23.220 Correct.
01:09:23.780 Okay. Both of these can be, we know definitively both of these can be brought into cells to be used
01:09:30.920 as cellular building blocks for NAD. Is there any dispute about the ability to get from high plasma
01:09:36.300 levels into the cell?
01:09:37.420 Yeah. There's a debate. It's not earth shattering. It's very academic, but yeah, we're debating in the
01:09:42.420 field about which molecule gets transported and which one doesn't. And NR definitely gets
01:09:49.160 transported. The question is, does any NMN get in transported?
01:09:52.460 And I believe you've written in, I think I read in one of your review articles perhaps,
01:09:56.320 but it could have been somebody else's, that NMN might be slightly more stable than NR.
01:09:59.660 Well, we find that in a lab that if we put them in solution on the bench or leave them on the shelf,
01:10:05.900 that NMN is more stable than NR, that's why I keep my molecules and lab's molecules in the freezer
01:10:13.760 just to give them some extra shelf life.
01:10:16.360 And did you imply by what you said a moment ago that there is no dispute that NR at least gets,
01:10:21.640 if you have a high plasma level of NR, it is brought into the cell. Is that diffusion mediated?
01:10:26.500 Is that transported?
01:10:27.360 There's a transporter for NR. There's evidence that there's an NR transporter,
01:10:30.980 but either way, they both raise NAD levels quite effectively in the body, in humans as well.
01:10:37.100 And I'm sorry, I know I asked this already, but when you say they raise NAD levels,
01:10:41.320 you mean mitochondrial NAD levels or cytoplasmic NAD levels?
01:10:45.300 Oh, gee. So most of these studies have been done on whole cells from blood or tissue.
01:10:50.900 So they're just like PBMCs or something like that?
01:10:52.700 Exactly. The problem with that is that it's a very dynamic system. This isn't a regular drug that
01:10:57.760 just hangs around and you can measure it. This is actively utilized by the body. So even if it
01:11:02.360 disappears into some pathway, it's still probably being recycled. So we have to be very careful
01:11:07.880 not to jump to conclusions. If you don't see it in the blood, maybe it was taken up by the muscle
01:11:12.040 or the brain. So these are the studies that are ongoing now.
01:11:15.500 And if you see it in the PBMC, it doesn't mean it made it into the hepatocyte.
01:11:18.840 Right. This is all just in an animal, you can do that. We're starting to do those experiments in
01:11:23.380 humans right now using NMR to be able to measure NAD levels in the living tissue.
01:11:28.120 And when you say NMR, do you mean like MRS or like-
01:11:32.940 Yes.
01:11:33.360 Okay.
01:11:33.800 I do. So phosphorus, MRS.
01:11:35.580 Yeah.
01:11:36.320 And you can measure ATP and AD.
01:11:38.360 Right, right.
01:11:38.900 So those are really powerful and you can actually now do it with seven tesla magnets with people
01:11:43.020 in the machine while they're exercising. So that's where we're headed with this in our next
01:11:46.680 clinical trial, hopefully.
01:11:48.760 In your intuition, David, if you could cherry pick the hierarchy with where you'd want to see
01:11:55.580 the upregulation of NAD most, which cells would you preferentially be directing it into?
01:12:00.160 Well, it depends on the, if we want to treat a disease, obviously we've got to target that
01:12:04.500 particular tissue. So if we're treating a mitochondrial disorder or the muscle,
01:12:08.420 obviously the muscle. For longevity, I would want it to definitely get into all tissues if possible.
01:12:15.420 I think it would help if it could get into the hypothalamus where there's some central
01:12:20.380 regulation. But what the field has discovered is that all these tissues, not all, but many of
01:12:26.960 these major tissues are secreting proteins that can induce longevity. So I wouldn't want to
01:12:32.060 prioritize unless we're talking about a particular disease like liver disease or muscle wasting.
01:12:36.320 One of the things David Sabatini and I talk a lot about, I'm actually going to see David for
01:12:39.960 dinner tonight. And I'm sure this will come up is if you could wave a magic wand and make rapamycin,
01:12:45.920 for example, tissue specific, let alone complex specific, but you get into this. And the same
01:12:51.700 thing with metformin, it probably does have some tissue specificity, probably working more in the
01:12:55.860 liver than it is working in other cells. It seems unlikely that a molecule would have uniform and
01:13:02.440 ubiquitous take up of all cells, right?
01:13:04.340 Well, of course. Yeah. So with NAD, we don't know.
01:13:07.400 So we're still at the, we're basically still in the infancy of knowing where the NR or NMN would
01:13:12.160 be preferentially taken up, but it sounds like the MRS studies would help us understand that.
01:13:16.300 So that's going to help. And the reason I qualified that statement was that, you know,
01:13:19.680 we're still getting approval for these studies, but that's the plan. But also there are labs that I'm
01:13:24.860 aware of. I think she'll remain nameless as well for, to protect their own confidentiality,
01:13:29.560 but they are working on tracer studies to be able to give NR, NMN and see where it goes in the body
01:13:35.480 and be able to measure each tissue. That we'll know probably within the next six months to a year.
01:13:40.020 So you mentioned that what Elysium or Chromadex are doing is using, they're just basically in a
01:13:46.640 different regulatory paradigm, which is they're using molecules that are generally regarded as safe.
01:13:51.280 They're outside of these IND pathways. You're interested in the same sort of targets,
01:13:56.120 but you're going to go down. I don't want to say more rigorous because that, but it is more
01:14:00.180 rigorous. Let's call this made a spade. You're going down a much more rigorous pathway.
01:14:03.040 It's more expensive. That's for sure.
01:14:04.620 Yeah. I mean, literally two logs more expensive, if not three logs more expensive. So I want to be
01:14:11.240 sensitive to any confidentiality because that's the nature of the work that you're doing now. But
01:14:15.700 what can you tell us about the molecules you're working on directly and indirectly in that space?
01:14:20.640 Sure. In the NAD space, there's a couple of companies. One is, I can do it. It's called
01:14:25.660 Metro Biotech, which is here in Massachusetts. And they've been working for five years on making
01:14:30.840 NAD precursor molecules that are better than these two that are available publicly. And there
01:14:36.300 are ways to improve them, better bioavailability, better stability, better efficacy. And those are
01:14:42.620 moving into the clinic as well. And then there's another company called Jumpstart Fertility, which is
01:14:47.860 both here in Massachusetts and down in Australia. And we're finding really great effects of these
01:14:53.500 molecules on female infertility or low fertility. And that's something we're going to be publishing
01:14:58.600 shortly. And is there a type of infertility that this seems most amenable to? Because going back
01:15:03.160 to your evolutionary argument, under periods of stress, we see fertility as one of the first things
01:15:08.160 to go for obvious reasons. But infertility comes in so many flavors, right? There could be an inability
01:15:13.800 to release an egg. There can be aneuploidy. Even when the eggs are secreted, there can be uterine
01:15:20.260 hostility. There's so many things that can result in infertility. What does this particular thing
01:15:24.840 target?
01:15:25.780 Well, so what we find in the, so the biochemical pathway we've figured out, we've published a
01:15:29.920 little bit on this, is that there's a protein called BUB-R1, which is a kinase that regulates
01:15:34.800 spindle quality. And one of the problems with old eggs is that they don't have nice spindles and they
01:15:39.800 rip their chromosomes apart when they-
01:15:41.620 Hence the aneuploidy.
01:15:42.640 Exactly. So Down syndrome, et cetera, abortion, aborted fetuses. But what we found is that this
01:15:48.680 BUB-R1 is regulated by the SIRT2 protein, which requires NAD. And what we think is going on after
01:15:56.060 chemotherapy or during aging is that the levels of NAD in the ovary and in the egg are low and
01:16:02.680 it's getting this aneuploidy. And that explains why when we give NAD to, or NAD precursors to
01:16:08.840 eggs in vivo, the eggs come out healthier, more numerous, and are much better at allowing for
01:16:16.120 fertilization and healthy offspring.
01:16:17.800 I don't know much about fertility as this next question will illustrate, but presumably you can
01:16:22.820 still see aneuploidy on the male side. So is there a male fertility opportunity here as well? I realize
01:16:28.540 it's not as probably as common a problem, but presumably you still have to have a perfect split
01:16:34.860 of the chromosome in the sperm. Yeah. Possibly. It's an area that we're looking into. I don't
01:16:40.600 have anything solid enough to be able to say if it works or not, but in theory, yeah.
01:16:46.060 And you're just going back to something earlier. Is NMN available over the counter?
01:16:49.700 It is. More recently, I can see it on the internet.
01:16:53.340 Okay.
01:16:54.120 But one of the things that I want to bring up is you can find my name all over these products.
01:16:59.520 Not basis, they're reputable, but there are others that use my name all over the place.
01:17:03.340 Meaning without your permission.
01:17:05.180 Correct. And Harvard's permission. And so I've sent more cease and desist letters than you can
01:17:09.860 imagine. And they keep popping up.
01:17:11.660 So that's an important point. So if a listener after this talk is saying, hey,
01:17:15.720 David Sinclair sounds like a smart, reputable guy. If his name's on something, I should take it.
01:17:19.840 What can your name be associated with right now that is with your permission?
01:17:24.340 Nothing.
01:17:24.900 Okay. So basically anything that's out there that's over the counter that has your name on
01:17:29.080 it is not endorsed by you.
01:17:30.240 Correct.
01:17:30.480 Okay. Thank you for clarifying that. That would be frustrating.
01:17:34.800 Yeah, it is. But I try to stay above the fray.
01:17:37.740 It's nice when you can stand on Harvard's shoulders and let their lawyers send those
01:17:41.080 cease and desist letters.
01:17:42.100 It would be nice if that were true, but I spend a portion of my salary every year on this.
01:17:45.840 Really? That's a shame. I'm sorry to hear that. So fertility is a super interesting angle. I would
01:17:53.260 have never thought about that. That strikes me as highly testable as well, which one of the
01:17:59.140 challenges of longevity research, as you know better than I do, is if you want to make claims
01:18:04.700 in humans, you better buckle up because it's almost untestable. So when you look at what other
01:18:12.560 companies are doing, like Restore Bio going down the mTOR pathway, they're not going after longevity,
01:18:17.860 right? They're going after very, very specific indications that are testable in shorter periods
01:18:21.900 of time, respiratory failure, things like that. What are the other disease states that you think
01:18:26.680 would be most exciting if you don't already have plans to go down that from your pharmacologic
01:18:31.480 standpoint?
01:18:32.200 Well, we've been targeting diseases that are rare and have a high unmet need. So I can't
01:18:38.240 divulge all of those because that's company stuff. But the fertility part, that's very
01:18:43.540 clear. I'm able to tell you that those trials will begin next year in IVF clinics. And that
01:18:49.440 will be the first time a doctor looks at those eggs from a woman. She'll probably know that
01:18:55.460 it's working or not. So that's a very clear outcome.
01:18:58.060 And when you say company, so we're sitting right now in a headquarters that is the name
01:19:02.320 of, what's it called? Is it Life Bioscience?
01:19:04.860 Yes.
01:19:05.540 And that's a parent company or sort of, tell me how that fits into a number of the scientific
01:19:11.380 entities that you're involved in.
01:19:12.820 So Life Bioscience is a family of companies that uses shared resources and knowledge. There
01:19:18.160 are eight of us right now that work on different aspects of aging, not just NAD biology, but the
01:19:24.560 usual suspects, all the major hallmarks of aging that we could list off. Each one of these
01:19:29.100 companies has world leaders and drug development programs in that so that we think we can, quote
01:19:35.260 unquote, conquer aging from different aspects. But together, we're stronger as one unified company,
01:19:41.540 Life Biosciences.
01:19:42.220 Earlier, you spoke about sort of eight or nine central tenants of aging. We've covered some
01:19:49.560 of them, but I know, and I'm guessing that your book is going to go into this in greater
01:19:53.460 detail, but can you rehash what you, or at least as many of those as you're going to recall on
01:19:59.260 the spot? Not to put you on the spot, that's a long list.
01:20:02.260 Yeah, sure. There's epigenetic change of cells of cell communication and inflammation. There's,
01:20:07.100 let me count this, senolytics, so senescent cells build up. There's protein misfolding. There's
01:20:13.200 telomere loss and genomic instability. There's metabolic changes. So NP kinase and metformin
01:20:19.520 would address that. And then there's responses to what you call amino acids and other nutrient
01:20:26.500 inputs. And those collectively go awry during aging. But what causes all of those to happen?
01:20:33.460 That's something that we've been working on for quite a while.
01:20:35.340 And you think those are more coupled than they are uncoupled, those pathways? Or do you think
01:20:40.120 that, I mean, there are clearly situations in which external stressors can perturb more than one of
01:20:45.920 those, but like senescence seems somewhat uncoupled from nutrient sensing, doesn't it?
01:20:50.960 It may, but I-
01:20:52.540 And I'm not asking that rhetorically, like I just don't know.
01:20:55.080 Well, no, the answer is we think that we've found an explanation for all of these things to happen.
01:21:01.120 A unifying theory?
01:21:01.980 Right. So I've kept it close to my vest for a number of years, but it actually goes all the
01:21:07.160 way back to the sirtuin story in yeast. And hopefully the listeners who've stuck with this
01:21:12.860 podcast are still with us because this is the punchline.
01:21:15.760 Yeah. I promise you they are with us.
01:21:17.680 So the punchline is that, so this is all off the top of my head here. We haven't published this yet,
01:21:24.080 but I'm going to tell you my thoughts and your listeners. So the genome is digital information.
01:21:31.600 It's very easy to preserve. It's the reason we went from analog to digital in the 2000s.
01:21:36.700 DNA is four letters. It's digital. It's easy to replicate. It's easy to store. You can boil it.
01:21:41.280 It's very robust. And so what we've actually come to discover is that the genome is fairly
01:21:45.960 intact in old people and old animals. We've sequenced the genomes of lots of old mice and
01:21:51.180 all the genes are still largely intact. So what's going wrong? Well, the other part of information
01:21:56.600 that you inherit from your parents is the epigenetic information. Okay. And I use that
01:22:02.840 term loosely, but basically it means what's the pattern of gene expression, which genes are
01:22:07.560 turn on and off at which time. And that is analog information. Okay. That has to be analog because
01:22:13.800 instead of just being a single code, it has to operate in three dimensions, actually four if you
01:22:18.540 count time. And so that's an analog system. And it's constantly adapting to what we eat, what we
01:22:24.200 drink, if we run, when we sleep. And you have to turn genes on and off all the time. But that pattern
01:22:30.960 of gene expression that's set down when we're young, because it's analog, analog information doesn't last
01:22:36.380 very long. Anyone who's had a record player or magnetic tape knows that these things don't last.
01:22:43.160 And that's the problem I think with aging is that we don't lose the digital information. So the compact
01:22:48.640 disk of our lives is still intact when we're old, but it's as if we've got a scratched CD and the cells
01:22:54.780 don't read the right genes at the right time anymore and they lose their identity. In fact, if we, there's
01:22:59.660 an analogy which is called Waddington's landscape, where in the 1950s, Waddington drew a picture.
01:23:04.680 It's a beautiful picture of some hills. It's a mountainscape. And cells actually roll down the
01:23:10.500 mountainscape and land in different valleys down below. And that's to, before he had access to the
01:23:16.780 genome, that was his way of saying, this is how cells know what they are. They land in these valleys
01:23:21.220 and they stay there. But what I think is happening during aging is due to the vibration of noise over
01:23:26.740 time. We lose that pattern of gene expression. We lose that information, epigenetic information.
01:23:32.560 And those cells or those marbles in Waddington's landscape, they jump over into different valleys
01:23:37.980 and lose their identity. So your neurons are not functional like neurons anymore. Your liver cells
01:23:42.640 are more like neurons. And we see that in our lab. We're just writing up a couple of papers right
01:23:48.840 now for this. And we're able to actually manipulate the epigenome in cells and in mice and have a look
01:23:56.680 what happens to those animals. And the prediction is that you get all the hallmarks of aging.
01:24:01.080 You know, the challenge with this entire space is you think back to the time in the 1950s when he
01:24:05.780 made, when he created that analogy. And it's, in some ways, it's amazing that it could still be
01:24:11.200 relevant 75, 80 years later, whatever it is. On the other hand, it, it humbles you to realize how much
01:24:18.300 more has been learned about that process in that time. And sometimes I think about it because you
01:24:24.320 and I are interested in the same problem that I'm worried. I just don't know anything. You know,
01:24:29.300 I'm worried that in 10 years, I'll look back at my hypotheses and my, or not even my hypothesis,
01:24:34.720 just my understanding of the current state of the art today and think, you know what, that was
01:24:39.260 directionally right, but it was so oversimplified. And oh my goodness, like, you know, so it's sort of
01:24:47.140 like, we're back in this problem of time. Like we're going to run out of time. And I mean,
01:24:51.220 how confident are you that, because you and I are almost the same age, like how confident are you
01:24:55.280 that in our lifetime, we will see step function changes in human longevity. And to put this in
01:25:01.500 context, there really hasn't been a step function change in human longevity, probably since the
01:25:08.080 introduction of sanitation. I mean, everything has been quite incremental, maybe antibiotics,
01:25:13.160 vaccinations, antibiotics have probably been the last step function change.
01:25:17.240 Will we see one in our lifetime? How confident are you?
01:25:19.960 I'm getting more and more confident. Honestly, when I started in this field,
01:25:23.680 I thought we'd probably not see the type of technologies that I'm seeing now.
01:25:27.560 It's making my head spin, not just in the technologies, but also the investment and the
01:25:32.960 number of people working on this now. This was the back order of biology when we started.
01:25:37.360 And there's been some new results, which I'll just hint upon because we haven't published and it's
01:25:41.580 very early, but I've seen, it sounds like a scene out of Blade Runner, but I've seen things you
01:25:48.060 wouldn't believe. It's maybe not that dramatic, but let me go back to the compact disc analogy.
01:25:54.100 You've got the scratched CD. How do you find the polish? What is that? Let's go back to the yeast
01:25:59.420 analogy. What causes those scratches? Why do you get loss of gene regulation? Anyone who was paying
01:26:04.400 attention earlier on in this conversation will remember that these DNA breaks in the chromosome,
01:26:09.960 broken chromosomes, distract the serocomplex and they move away and you get the expression of
01:26:16.500 genes that have no right being on. Because the sirtuins have lost, they're distracted from the
01:26:22.360 deactivation function and they're dealing with the repair function. Exactly. So using that, what we've
01:26:28.240 got a lot of evidence for now is that something very similar, if not essentially identical in
01:26:32.940 principle happens in mammals as we age. What that means is that insults to the genome, and one of the
01:26:40.260 major insults is a double strand break, but there are probably others, cause these proteins, sirtuins
01:26:45.340 and other factors. I'm not saying only sirtuins, but factors that control gene expression, silencing and
01:26:50.980 other things, have a dual role, we know, in DNA repair and other things, such as responding to stresses,
01:26:57.900 heat, whatever. But this is the cell's way of coordinating gene expression changes, hunkering
01:27:03.900 down during times of adversity and going off to repair the system, which in this case we study DNA
01:27:09.100 breaks. And that's a beautiful system when you're young. It works great. You get exposed to cosmic
01:27:14.820 rays or you go out in the sun, you've got lots of DNA breaks. Eventually these proteins will go repair
01:27:19.600 those breaks and then go back to where they came from to settle down the response, to turn off the
01:27:25.440 inflammation, to turn off the DNA repair when it's not needed. But the problem we think is it's
01:27:30.180 antagonistic pleiotropy. Okay, so Peter Medawar and the other brilliant scientists in the 50s
01:27:35.960 speculated, I think correctly, is that things that are really good for you when you're young
01:27:40.420 come back to bite you in the ass when you're older. And I think that's what's happening here is that
01:27:44.060 this response to these stresses, like a break, end up not just distracting these proteins, but end up
01:27:48.880 disrupting the actual structure of our chromatin. And these proteins don't always go back to where they
01:27:54.320 came from 100%. Do that for 70 or 80 years. And it's not surprising that the genes that were once
01:28:01.320 perfectly programmed and turned on at the right time lose their ability to do that. And we've got
01:28:06.540 remnants of that program when we're 70 and 80. But what's exciting is that information is still there
01:28:13.240 to be accessed. The question is, how do you get the cells to remember to access at the right time?
01:28:17.560 What's that polish? And I think we're pretty close to finding that.
01:28:20.640 If you had unlimited resources, and not just financial resources, but sort of metaphysical
01:28:26.900 resources, like any experiment would be ethical, you could do something that today no IRB would
01:28:32.840 approve. Is there an experiment that you would wish to see done that could accelerate our knowledge
01:28:38.760 in this space log fold?
01:28:40.640 You mean staying within ethical boundaries?
01:28:43.640 Yeah. But, but, but, you know, for example, like, you know, to do a human experiment in longevity
01:28:47.940 would be ethical, but impractical because of the duration of time. But if you, if I gave you like
01:28:52.680 a time machine and an infinite amount of resources, tell me what the most elegant experiment you can
01:28:56.960 think of that would, again, just leapfrog our knowledge.
01:29:00.080 Okay. So the experiment that needs to be done, whether it's with metformin or other drugs in
01:29:05.740 development, including these wrapper logs, um, and the NMN and NAD precursors is to take a group
01:29:12.360 of 5,000 people that would be sufficient and just give them the medicine and wait three,
01:29:18.460 four years. And you'd know from that number of people that you're changing the hazard ratio,
01:29:24.820 the mortality rate. You'd have to start with people probably in their seventies. I think that
01:29:28.700 was the calculation that I did, but you don't need to wait a whole lifetime to know that these
01:29:32.900 things work. So this is basically Nir's argument. Yeah, exactly. But Nir's not doing mortality
01:29:37.080 as much as he's doing health span, but it's exactly right. You do enough people. I mean,
01:29:41.800 it's going to cost tens of millions of dollars, but think of the trillions of dollars that would
01:29:45.940 be saved if we can prove this. But, but if I'm going to play devil's advocate for a moment,
01:29:49.500 what if by doing that experiment, we are missing the opportunity, the window of opportunity for these
01:29:56.720 drugs to act. In other words, you know, we know that caloric restriction is less and less effective
01:30:01.920 the longer you wait in the organism, at least within mice. And that's what made rapamycin so
01:30:06.080 interesting as you could, it blew everybody away that you could start this drug on mice that were
01:30:10.440 600 days old and they still had, you know, 9%, 14% increase in law and lifespan. If you had more time,
01:30:19.440 do you think we could get a more clear answer starting earlier, acknowledging that you'd have to
01:30:25.600 wait longer if you wanted to use a hard outcome? Like, do you worry that we would risk doing this in
01:30:29.900 people in their eighth decade that it might not work, but that just tells us that it doesn't
01:30:34.260 work late, not that it doesn't work period? I don't worry about that. We could, with enough
01:30:39.080 capital and money invested, we could do multiple different experiments. We could do people in their
01:30:45.180 50s, 60s, 70s, and 80s. So, you know, dream with me. The other thing that makes me optimistic is
01:30:50.780 it's not just rapamycin that works late in life. We've got results in my lab now that we'll be publishing
01:30:56.060 that if we start even later than 600 days in a mouse, which is what, closer to a 75-80-year-old,
01:31:02.880 we can still extend lifespan. Using what, I know you won't.
01:31:06.020 This is, and I can tell you, we're using the NMN. Okay.
01:31:09.860 So, there are multiple ways to act later in life. And so, when you use NMN in the lab, are you also
01:31:14.200 using like a PT analog or a resveratrol analog, or are you able to just use NMN and see?
01:31:21.360 Just the natural molecule will work. We're now gearing up to do the drug substance.
01:31:25.260 And this is not in high-fat, overfed animals. This is in wild-type animals.
01:31:29.840 We just put it in their drinking water.
01:31:31.560 Oh, because NMN is more soluble.
01:31:33.160 Exactly.
01:31:34.260 Interesting.
01:31:34.940 Yeah, but we've got better molecules that we're now testing. We think that we can beat,
01:31:39.080 or again, try to beat rapamycin, and maybe the combination together.
01:31:42.440 Do you think there's overlap in those pathways?
01:31:44.340 Yeah, yeah. We're both thinking the same thing.
01:31:46.240 We don't have to do the combination.
01:31:47.500 Yeah, yeah, yeah. And I want to take the combination one day.
01:31:49.780 Well, we now actually have some early data. I don't want to scoop myself, but we're able to now
01:31:56.560 genetically modify adult mice with AAV, the virus, associated virus. And we can now genetically change
01:32:04.360 a mouse. So, we've just put in all seven SIRT1 genes into mice, in old mice.
01:32:09.960 You've put the seven human SIRT1 genes into mice?
01:32:12.560 Seven mouse genes into a mouse. But that sort of experiment would have taken a decade to do
01:32:17.660 just a few years ago. But now that we can deliver genes, we can do very quick experiments.
01:32:22.740 Not only that, we can also do it multiplexed. We can do combinations of genes and combinations
01:32:27.360 of molecules. So, even an experiment-
01:32:29.300 Yeah, you're stacking the matrix now.
01:32:30.780 Well, yeah. I mean, we should be doing this. It's just a matter of resources. But I think we're
01:32:35.180 now at a point in the aging community where these combinations need to be tested. It's the
01:32:40.320 question that's on everybody's mind. What happens if you put them in combination? Are they better
01:32:44.740 or worse, together? And so, what we've done is we've put all seven SIRT1 genes into a mouse
01:32:49.740 and fed them some NMN to give them the fuel and the genetic requirement. And interestingly,
01:32:56.500 there are additive effects when you do both of those things. And this is how we're able to see
01:33:01.860 these dramatic effects in these old mice.
01:33:03.940 So, is your optimism towards the NAD precursor space and the SIRT2 and activating space equivalent?
01:33:12.400 And do you see them as necessarily parallel paths?
01:33:16.740 They have different uses. The NAD is where I'm mostly focused on now.
01:33:21.020 And is that because of the observed age-related decline in NAD?
01:33:24.540 In part. But it's also because, in theory, all of the seven SIRT2ins should be good. And
01:33:30.420 their lack of NAD could be the main problem that's going on in older people. And so,
01:33:36.960 the idea is that instead of just activating one SIRT2in, which is what resveratrol did,
01:33:41.520 we think, you can potentially activate all seven of them and replenish what's been lost over time.
01:33:47.700 And I think seven is probably better than one.
01:33:50.200 You mentioned at the outset of this discussion that you were four years old when you became
01:33:54.360 aware of mortality. Was there something that occurred that made you aware of mortality at
01:33:58.840 such a young age?
01:33:59.780 I had an unusual grandmother who was really honest with me. She would never lie. And any question I
01:34:05.000 asked, I was...
01:34:06.020 And you were probably very precocious and curious.
01:34:08.340 I suppose I was. But yeah, she would never lie. So, my question that most kids have is,
01:34:13.500 are you always going to be around? She didn't even... I couldn't call her grandma. She wanted to use
01:34:17.240 her first name, which is Vera. So, Vera, are you always getting around? Of course not. I'm going
01:34:21.320 to die. Yeah, but what about mom and dad? Yeah, they're going to die. What about my cat? It's
01:34:26.860 going to die. And then, of course, you're thinking, if they're all going to die, what's
01:34:31.220 going to happen to me? But it turns out all kids go through this. It's been studied extensively that
01:34:35.640 between the ages of four and seven, kids understand that there's death. And at first,
01:34:41.500 they're in denial. They say, well, maybe those adults will die, but my teachers and my parents,
01:34:45.520 they're not going to die. But then by age seven, it's undeniable. All kids know that everything
01:34:49.580 around them that's living at one day will die, including themselves. But what's very interesting
01:34:53.680 that happens at age seven is it's buried deep in the subconscious. You very rarely think about it
01:35:00.040 until you have to. Because I don't think as a species we could get by if we're all running around,
01:35:04.600 oh my God, I'm going to die one day. So, seven-year-olds onward till about 50, you try not to think about
01:35:10.000 it. That's pretty common. You start looking at yourself in the mirror at 50, you notice your teeth are
01:35:14.440 wearing out, you're starting to feel a little bit of age, you see some wrinkles, you think,
01:35:17.740 oh yeah, crap, this is really happening. And you think more and more about it.
01:35:24.120 I'm unusual because I work on this every day. So, I'm always thinking about it. But I think on
01:35:28.900 average, when I talk to people, especially in their 20s and 30s, it's not something that
01:35:32.460 is on their radar because it's going to be something that happens in the distant future that
01:35:36.400 they're not even looking at. Do you have kids? I have three. How old are they? They are 15,
01:35:40.560 13, and 11. How do you explain what you do to them? I was just as brutal to them as my grandma was
01:35:46.520 to me. Yeah. And actually, I saw my oldest daughter go through this, actually all my kids,
01:35:52.220 but it was more dramatic to see it for the first time myself. And I gave a TED Talk about this.
01:35:57.160 When I told her that I was going to die, she burst out crying and for a week couldn't sleep. It was
01:36:02.520 traumatic. And maybe I'm a cruel parent, but I also try not to BS my kids either. But what I saw with
01:36:08.600 her was what even I think most kids do, including myself, was you just can't think about it. It
01:36:13.920 drives you nuts. You won't sleep. So, she forgot about it and we've never talked about it ever
01:36:18.560 again. And if I talk about death, she says, shut up. I don't want to hear about it. And she probably
01:36:23.840 won't think about it in a big way until I'm old or her grandparents are dying.
01:36:28.400 David, this has been a really interesting discussion. I want to be sensitive to your time.
01:36:32.540 I think the listeners of this podcast will be upset to know that we're only going for about,
01:36:37.000 you know, an hour and 40 minutes instead of the usual three or four hours. But
01:36:41.000 where can people find you on social media? And what, how do you like to interact with people
01:36:45.560 that have questions besides adding to the list of the thousands of emails you get a day?
01:36:49.640 Yeah. Emails. I can't reply to everyone, but, um, on social media, I'm now on social media. I find
01:36:56.040 that's a good way to communicate with people. And, uh, so I have a Twitter handle, which is, uh,
01:37:00.820 David A. Sinclair. Uh, and I'm also on LinkedIn, but we're putting together a social media
01:37:06.120 page so we can have a discussion. Uh, it's now, there's so many people interested in this
01:37:10.900 and the information that's locked in my head seems to be on demand. So that's how I want to
01:37:15.660 reach people. This book is coming out, which has me regurgitating and vomiting on the page,
01:37:20.760 everything from what we've learned in my life with my kids all the way through to
01:37:25.440 understanding why we age in this universal hypothesis that we're putting, I'm putting
01:37:31.100 forward. And then the consequences of what happens when we do this. Now it's not a question
01:37:35.820 of if anymore, it's a, when it's going to happen, what happens to planet earth? What
01:37:40.640 happens to humanity? What happens to your family as this starts to come out and some good, some
01:37:46.560 bad, what do you have to get ready for economically, socially? And it's all going to be in there.
01:37:51.120 Well, I really look forward to reading it. You know, I'm in the midst of writing a book as
01:37:53.680 well, and I'm guessing you struggled with the same thing I'm struggling with, which is not just
01:37:59.020 the writing of it. But more importantly, you almost don't want to hand the thing in because
01:38:03.700 you know that the day you hand it in, there's something new that you're going to want to,
01:38:07.940 you're going to know something more. And so as we were talking about it before we started the podcast,
01:38:12.340 like you submit these books a full year before they hit the press. And then of course it basically
01:38:18.220 is a static document until, you know, sure you could have an online updated to information or,
01:38:23.680 but did you struggle with that? Especially, I think, you know, people like us, I think have a little bit
01:38:28.620 of a humility around the half-life of facts. And that sounds like a very, you know, sort of pompous
01:38:35.020 thing for us to say, but I just think we have the luxury of knowing that basically whatever we know
01:38:40.080 today is, you know, quite likely to not be entirely true tomorrow. How did you cope with that? This is
01:38:45.640 now just a very personal question for me as I'm struggling with this phenomenon.
01:38:48.900 Well, yeah, you're a perceptive guy, Peter. So I'm also one of those guys that I'm at the podium
01:38:54.540 about to give a talk to a thousand people and I'm still changing my PowerPoint slides. I'm
01:38:58.040 just obsessed with perfection. And that's one of my downfalls. Same thing with the book. I've been
01:39:04.060 writing it for 10 years and it's needed updating, of course, even to the point that last night I was
01:39:08.840 editing it. I've already turned it into my editor three weeks ago. You're a nightmare to the editor.
01:39:14.580 And she's received probably seven updates already. And I'm going to stop, I promise. But
01:39:20.480 every time I wake up, there's something more really interesting to add that I want to put in
01:39:25.100 there. And, uh, you know, a year from now, I think it's going to be an even better book than it is
01:39:29.260 now, but I'm really happy with everything I've gotten down on the page because when I talk to
01:39:33.540 people, people write to me every day, I'm able to answer questions that I think are burning in a lot
01:39:38.120 of people's minds. Well, David, this has been great. I find it, it's sometimes hard to talk to
01:39:42.000 people you don't know until the day of the podcast, which is the case here. But, uh, I found there's a
01:39:46.280 common language, uh, that we, that we speak or maybe a common passion, not a common language.
01:39:50.320 This is a topic that's new to me, but anyway, this has been really exciting. And I, I can't
01:39:54.240 thank you enough for your time. Well, I appreciate the opportunity and I've really enjoyed it too.
01:39:57.240 Thanks. You can find all of this information and more at peteratiamd.com forward slash podcast.
01:40:04.860 There you'll find the show notes, readings, and links related to this episode. You can also find my
01:40:10.140 blog and the nerd safari at peteratiamd.com. What's a nerd safari you ask? Just click on the link at
01:40:16.220 the top of the site to learn more. Maybe the simplest thing to do is to sign up for my
01:40:19.960 subjectively non lame once a week email, where I'll update you on what I've been up to the most
01:40:24.660 interesting papers I've read and all things related to longevity, science, performance, sleep,
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01:40:36.160 but usually Twitter is the best way to reach me to share your questions and comments.
01:40:39.840 Now for the obligatory disclaimer, this podcast is for general informational purposes only and does
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