The Peter Attia Drive - June 08, 2020


#114 - Eileen White, Ph.D.: Autophagy, fasting, and promising new cancer therapies


Episode Stats

Length

1 hour and 59 minutes

Words per Minute

155.90825

Word Count

18,609

Sentence Count

1,059

Misogynist Sentences

7

Hate Speech Sentences

4


Summary

Dr. Eileen White is the Deputy Director and Chief Scientific Officer at the Rutgers University Cancer Institute and the Associate Director for Basic Research and the Co-Lead of the Cancer Metabolism and Growth Research Program at Rutgers University in New Jersey. She received her bachelor's degree from RPI and her PhD from SUNY and Stony Brook and did her postdoc with Bruce Stillman at Cold Spring Harbor Laboratory. Her early work focused on apoptosis, but it was doing some of the work there that she stumbled upon autophagy. And that is the focus of our discussion today.


Transcript

00:00:00.000 Hey everyone, welcome to the drive podcast. I'm your host, Peter Atiyah. This podcast,
00:00:15.480 my website and my weekly newsletter all focus on the goal of translating the science of longevity
00:00:19.800 into something accessible for everyone. Our goal is to provide the best content in health
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00:00:37.320 the end of this episode, I'll explain what those benefits are. Or if you want to learn more now,
00:00:41.720 head over to peteratiyahmd.com forward slash subscribe. Now, without further delay,
00:00:47.740 here's today's episode. I guess this week is professor Eileen White. Eileen is the deputy
00:00:54.840 director and chief scientific officer, along with the associate director for basic research.
00:00:58.880 And the co-leader of the cancer metabolism and growth research program at Rutgers University
00:01:04.220 Cancer Institute in New Jersey. She received her bachelor's degree from RPI and her PhD from SUNY
00:01:10.200 and Stony Brook and did her postdoc with Bruce Stillman at Cold Spring Harbor Laboratory. Eileen's
00:01:15.300 early work focused on apoptosis, but it was doing some of the work there that she stumbled upon
00:01:21.020 autophagy. And that is the focus of our discussion today. Now, if you're even remotely familiar with this
00:01:27.320 podcast, you'll certainly know that the concept of autophagy has come up on so many previous
00:01:32.060 episodes. It is a fundamental pillar of health and maintenance of health. We talk a lot about it in
00:01:39.160 the context of fasting in particular. I have wanted to sit down with Eileen for a really long time,
00:01:45.120 and I don't think this conversation disappoints, although we certainly could have gone longer.
00:01:49.300 In this discussion, we talk about Eileen's career and how it morphed from studying apoptosis into
00:01:56.260 autophagy. We go into describing the regulation of autophagy, both metabolically and otherwise.
00:02:03.640 And then we spend a lot of time talking about the role autophagy plays in both the prevention of
00:02:09.420 disease and also the treatment of disease. And I think this is where it gets really interesting,
00:02:14.400 especially around cancer. And I think that that's potentially one of the most confusing
00:02:18.380 aspects of the entire discussion on autophagy. And that's actually one of the reasons I really
00:02:23.180 wanted to talk to Eileen was to better understand something that at the surface seems confusing to
00:02:29.440 me, which is that autophagy seems to very clearly protect a person or an organism from getting cancer.
00:02:37.420 Yet once someone has cancer, it appears that autophagy may disproportionately benefit the cancer
00:02:43.880 cell versus the non-cancer cell. So we tease this idea apart along with talking
00:02:48.340 about the amazing work that her lab has done to demonstrate the importance of autophagy in
00:02:53.980 preventing Alzheimer's disease and neurodegeneration, along with the benefits of metabolic health.
00:02:58.940 And of course, we do talk about the age old question that many of you have heard me
00:03:02.520 go on and on about, which is how do we delineate and understand the dosing and frequency of fasting as
00:03:10.100 a tool? In other words, when I talk about doing a fast of three days every month versus seven days,
00:03:15.060 a quarter versus five days, a quarter, how could we possibly get a handle on what the ideal strategy
00:03:21.180 is? And so we talk a lot about that as well. And I'm actually quite hopeful that from this
00:03:25.580 discussion comes some research that can shed light on that. So without further delay, I hope you enjoy
00:03:31.820 my discussion on autophagy with Eileen White.
00:03:41.040 Eileen, thank you so much for extending your trip in San Diego for a day to come and make time to talk
00:03:46.880 with me about this stuff today. Oh, it's my pleasure. I'm looking forward to it.
00:03:50.560 I don't know if you remember this, by the way, but David Sabatini introduced us a few years ago. Do you remember?
00:03:55.560 I do. I still have my notes from that phone call five years ago. I took about 20, maybe not 20,
00:04:02.440 that's an exaggeration, maybe 10 pages of notes in my journal and probably have gone back to those
00:04:08.380 a dozen times in the last five or six years. So I always appreciate it when people just pick up the
00:04:14.060 phone and talk to total strangers for no reason. So that's greatly appreciated.
00:04:17.780 Well, you were excited about the science. And so nerds like me like to talk about science.
00:04:24.080 Well, let's actually start from there. Tell me where your interest in science came from.
00:04:29.160 Was it something that was always in you from a young age? Were you just naturally curious?
00:04:33.300 Yeah, I've been asked that question many times before. I come from a family where there was an
00:04:39.560 interest in science. My mother was a elementary school teacher and my father was a lawyer, but he
00:04:47.340 always wanted to be in science. And all of our discussions were related a lot to new scientific
00:04:58.000 discovery. So from an early age, I was introduced to science, which was probably unusual.
00:05:04.420 And I then went to college and majored in science and biology and continued from there. And I decided
00:05:14.300 when I was an undergraduate, I wanted to get a PhD in biology. And I was very fortunate to
00:05:21.100 go into graduate school in the department led by Dr. Arnie Levine, who discovered P53. And that was an
00:05:31.100 inspirational experience because he has got scientific insight that's absolutely incredible.
00:05:37.360 And then I went on to Quiltspring Harbor Lab, where I was a postdoc with Bruce Stillman.
00:05:43.760 And again, another incredible scientist, and it was an incredible scientific environment.
00:05:49.980 There were a whole cadre of investigators there that were making major contributions in the field of
00:05:58.260 cancer at the time. And it was just a very thrilling experience to be in an environment where
00:06:04.040 once a week, there was some fabulous discovery and everyone was excited about it. There were even,
00:06:10.400 I think, two Nobel Prizes awarded while I was there. And I joined the faculty at Cold Spring Harbor
00:06:16.120 after that. And then I moved on to Rutgers. And I had the fortunate experience of building a cancer
00:06:23.880 center. So when I went to Rutgers to be on the faculty, there was no cancer center. But shortly after I
00:06:30.660 arrived, they hired a cancer center director, Bill Height from Yale. And I joined him to help build what's
00:06:39.960 now the Rutgers Cancer Center or the Rutgers Cancer Institute, which went from nothing to now there are
00:06:47.500 multiple buildings, there are 11 hospitals in our health system. We have 240 something members of the
00:06:57.700 Rutgers Cancer Institute. And we have, we're a consortium cancer center with Princeton University.
00:07:03.440 And so it was very thrilling for me to not only have maintain my scientific interest by running a
00:07:10.740 research lab, but also help expand and grow something from nothing, where now we're treating large numbers of
00:07:20.000 patients in standard of care and clinical trials and making large discoveries and moving cancer
00:07:28.460 treatment, advancing cancer treatment as fast as we can.
00:07:32.780 And how many years have you been at Rutgers?
00:07:34.420 I joined there in 1990. So I've been there for a long time, but I moved about 12 years ago. I moved from
00:07:41.280 one research building to be physically in the cancer center where I could be more directly helpful.
00:07:49.260 So where in your journey did autophagy pique your curiosity?
00:07:56.040 It was purely serendipity. So this goes back to when I was a postdoc with Bruce Stillman at Cold
00:08:02.900 Spring Harbor. I was given an oncogene to study. That time they had just sequenced the adenovirus genome.
00:08:10.800 They knew what genes caused cancer in the virus. I was given one of those genes and said,
00:08:18.080 figure out what it does. And that was a dream project for a postdoc. And what I found was that
00:08:23.940 this gene was a viral homologue of BCL2. BCL2 is a gene, it's a human oncogene, and it functions by
00:08:33.660 blocking apoptosis or programmed cell death. And so that was transformative to me and took other people
00:08:41.660 a while to realize the importance of that, that one novel function of cancer is to evade cell death.
00:08:51.120 That field grew. We and others contributed cloning the other genes that regulated apoptosis. We figured
00:08:59.680 out how it all, the mechanism by which it worked. And the pharmaceutical industry started developing
00:09:06.580 inhibitors of BCL2 to promote apoptosis and cancer. And that was the ultimate goal, was to make tumor
00:09:15.140 cells die and have a drug that will do that. And once that happened, the field of apoptosis, I think,
00:09:22.940 sort of, we accomplished what we wanted to accomplish. We understood everything. And that led to the
00:09:30.480 development of the first of many drugs that were in clinical trials. And in fact, my lab is still
00:09:36.980 involved with taking those drugs and putting them in patients and optimizing their use in solid tumors.
00:09:44.280 So while the field of apoptosis matured to the point where things were being translated,
00:09:54.280 we made a serendipitous discovery. We had engineered tumor cells to
00:10:00.200 be unable to undergo apoptosis. They were refractory to being able to commit suicide.
00:10:08.960 Can we pause for a second there, Eileen? And just let's explain to folks exactly how apoptosis works,
00:10:13.460 because shortly we're going to obviously contrast this with autophagy. They have common threads,
00:10:18.300 but they're different. So let's go down the path of what does it take to get a cell to undergo
00:10:24.100 programmed suicide? So there's a family of proteins called the BCL2 family. They come in different
00:10:31.440 flavors. There are the BCL2-like proteins, which inhibit apoptosis, so they keep tumor cells alive.
00:10:40.100 And BCL2 is a prototypical member of that family and is upregulated and amplified and translocated in
00:10:49.860 many cancers to do exactly that. And are antagonizers of BCL2 and its related proteins. These are called the
00:11:00.620 BH3-only proteins. And they are often activated to inhibit BCL2 to trigger apoptosis. And then there's
00:11:11.860 the core apoptotic machinery that triggers apoptosis. And this is backs and back. They reside in the
00:11:19.940 mitochondrial membrane. And when they're triggered to undergo apoptosis, they oligomerize and poke holes
00:11:28.840 in the mitochondrial outer membrane that releases proteins that activate proteases to grade the cell.
00:11:36.800 And BCL2 and BCLXL, all the anti-apoptotic proteins are involved in antagonizing this process.
00:11:45.480 And what are some of the things that would have to be going wrong in a cell for it to go down that
00:11:50.580 suicidal pathway? So for example, mitochondrial injury that is irreversible, genetic mutation that is
00:11:58.900 unfixable. Like what are the suite of things that basically take a cell down the path of,
00:12:04.960 I can't fix this and being around here and replicating is going to be dangerous to the host. I got to
00:12:10.680 take myself out of the game. Right. So mitochondrial damage can certainly trigger apoptosis. But probably
00:12:18.180 the best way to explain it is by using the example of P53. So P53 is a tumor suppressor and a
00:12:26.960 transcription factor. And some of the transcriptional targets of P53 are proteins like PUMA and NOXA,
00:12:36.460 which are these antagonizers of BCL2 and activators of backs and back. P53 is a tumor suppressor.
00:12:45.360 One of the functions is to promote apoptosis to prevent an emerging cancer cell from progressing.
00:12:53.400 One mechanism by which P53 does that is by turning on the transcription of PUMA and NOXA,
00:13:02.120 and then that will antagonize BCL2 and initiate apoptosis. So then the question becomes what
00:13:09.600 activates P53 to do that? And that could be a long list of things from DNA damage, from oxidative stress,
00:13:17.820 and so forth. So you could think of something bad happens to an emerging cancer cell, and then
00:13:24.820 P53 gets activated. And one of the tumor suppression functions of P53 is to turn on these promoters of
00:13:34.820 apoptosis that antagonize BCL2. Now, loss of function in P53 probably accounts for half of all cancers,
00:13:42.040 correct? Right. And I assume that you have to lose both copies of it, or is losing one copy sufficient?
00:13:48.940 Well, what happens in most of the time is not deletion of P53, but rather a point mutation.
00:13:57.240 That reduces function. It's more of a dominant negative. So in fact, there's even evidence that
00:14:02.640 there's a gain of function. So there are hotspot mutations in P53 that are very common in cancer,
00:14:09.900 and P53 functions as a heterodimer. And what these mutant P53s do is that they end up entering into a
00:14:20.580 dimer with wild-type subunits, and that interferes with the function of the complex. So yes, in that
00:14:27.280 respect, it can be a loss of function of the P53 heterodimer, but there's evidence that it not only
00:14:36.220 causes a loss of function, but it actually may do other things as well that are cancer-promoting.
00:14:42.300 That's just a great example of the nuance of evolution, right? I mean, in med school,
00:14:45.440 the classic teaching, you know, 100 years ago for me was P53, loss of function, oncogene,
00:14:51.040 gain of function, black and white. Of course, it's never black and white.
00:14:54.060 Right. So what is the wreckage of apoptosis? So when a cell undergoes apoptosis to everything
00:15:03.220 outside the cell, inclusive of the immune system, what becomes visible? In other words,
00:15:09.220 does an apoptotic cell, once it dies, elicit any immune response? Or does the process of
00:15:15.220 apoptosis yield sort of an inert body of cellular matter that just goes away?
00:15:20.240 I'm not so sure I'm the best person to answer that question. I think the whole idea initially was
00:15:26.880 during the process of apoptosis, you would get protein degradation and packaging of pieces of
00:15:34.540 the dead cells into these apoptotic bodies. And then that would reduce inflammation. And then there's
00:15:41.920 evidence that macrophages can then go and take up these apoptotic bodies. And that may facilitate
00:15:49.280 antigen presentation and so forth. So it's possible, for example, that if you have a cell
00:15:56.760 that has become cancerous, either through a gain of function, loss of function, but whatever,
00:16:01.100 there's some mutation that now renders this cell to go down a pathway of cancer.
00:16:06.060 Fortunately, it undergoes the apoptotic transition. The macrophages take it. Is it likely that you get an
00:16:13.860 immune response to that that is protective in the long run against similar mutations? Because
00:16:18.940 I mean, even though the macrophage is part of the innate immune system, does that ever translate to
00:16:22.780 the adaptive immune system such that you gain some long-term immunity from that specific type of
00:16:27.660 mutation? Yes. I think something like that occurs. And I'm just thinking I'm the wrong person to answer
00:16:33.640 that question. I could give you the better names of people that can do a better job. But I think the best
00:16:39.740 way to compare it is to contrast it with necrotic cell death. So in apoptosis, you have proteolytic
00:16:47.520 degradation and of a cell and packaging it into these bodies. And you say, well, does that limit
00:16:56.700 inflammation? Well, the way to explain how it does is to compare it to a different form of cell death,
00:17:02.760 like necrosis. So necrosis is cells, lice, and that is very pro-inflammatory. You have nucleic acids
00:17:12.380 released. You have essentially everything is released. Including mitochondrial content, which
00:17:17.820 is probably the most immunogenic given its bacterial origin of the DNA. Absolutely. And so
00:17:23.360 apoptosis, what I'm hearing you say is apoptosis is much cleaner than necrosis. Absolutely.
00:17:28.200 So now let's talk about autophagy. Let's contrast autophagy with apoptosis.
00:17:34.100 That's right. Well, before we get to that, I should go back to your original question of like,
00:17:37.960 how did we start working on autophagy? And this sort of bridges us to what you just mentioned. So
00:17:44.480 when we disable apoptosis in a cancer cell, it can't commit suicide. And we're doing that all the
00:17:52.080 time. And we could show that then the tumor cells become more tumorigenic. But what we
00:17:57.940 didn't expect was the extraordinary propensity for survival. We could leave the cells out and
00:18:07.820 put them in buffer. They wouldn't die under extraordinary circumstances that we couldn't
00:18:15.940 explain. So why would a cell that just couldn't commit suicide survive in buffer with no nutrients
00:18:23.840 at all? And just for context, this is the mid 80s, late 80s?
00:18:28.640 This is the mid 80s. No, it was probably later than that. It was probably early 1990s. And so
00:18:37.020 it was a conundrum. I mean, just because a cell can't commit suicide doesn't explain how it can
00:18:42.540 be a cancer cell can just sit in buffer and be fine. And we puzzled over this, like, how can this be?
00:18:50.380 And then we discovered that what these cells had done was turned on autophagy. And we're using that
00:18:58.700 for survival. Before you go down that path, help me understand something. What did you observe about
00:19:04.600 those cells that were sitting there in the absence of nutrients surviving? Did you notice any metabolic
00:19:09.680 changes that were unusual? Like, what was your clue that they were able to usurp the environment they
00:19:18.520 were in? It was an act of desperation. We tried a bunch of things and nothing was informative. And
00:19:26.580 then I told the people in the lab, why don't we just look at these cancer cells under the electron
00:19:31.900 microscope? And that way we can, we can see everything because we couldn't understand how
00:19:38.220 they could be surviving a buffer. And when we got the electron micrographs back, we saw something we
00:19:43.760 had never seen before. And all these double membrane vesicles all over the cell. And so that,
00:19:50.920 when we finally, all those are autophagosomes, which we had never, ever seen.
00:19:55.660 But wait, how did you, I mean, first of all, this is just to me, one of the beautiful moments in
00:20:00.380 science that I think, I think it's so important for people who don't do science for a living to
00:20:06.480 understand that while science is 99% failure, every once in a while, you have a moment like that.
00:20:12.140 A eureka moment.
00:20:13.340 Yeah. It probably makes up for 10 years of failure.
00:20:16.880 Yes.
00:20:17.620 When you realize in that moment, you are seeing something that has never been seen before.
00:20:22.860 And therefore, this is the cusp of new knowledge.
00:20:26.900 That's right. That's happened to me a bunch of times in my career, which is fortunate. And this
00:20:32.420 was one of those moments. And then we started reading, oh, what are these autophagosomes? What do
00:20:37.440 they do? And then when we realized from when we looked in the yeast literature, they were
00:20:42.260 meant to capture intracellular proteins and organelles and bring them to the vacuole of the
00:20:49.220 mammalian lysosome for degradation and recycling. And that this was a mechanism by which yeast survived
00:20:55.720 starvation.
00:20:56.940 And what was the tumor line or what was the cell line you were doing this in?
00:21:01.780 At the time, we were using kidney cancer cell lines.
00:21:05.720 Mice or human?
00:21:07.140 These were mouse.
00:21:08.480 But it was basically the first time this had been seen in mammalian cell line?
00:21:12.020 No, I think people had seen autophagosomes before. I mean, you've got to remember in the
00:21:16.920 olden days when electron microscopes were first available, that that's one of the things that
00:21:23.260 people did was describe all kinds of different processes. So autophagosomes were known to exist,
00:21:30.620 but there was very, very little information, almost no information on autophagy and cancer
00:21:36.400 at the time. So we went into this area where there was almost no information. And so the first question
00:21:44.180 we asked is, okay, well, the yeast data tells us that when you see autophagosomes, that means
00:21:51.280 cells are starved and they're recycling and they're using this to survive. And we hypothesized
00:22:00.780 that that's what was going on in these cancer cells. And if that was the case, if autophagy was a
00:22:07.820 survival pathway in cancer, that was a game changer. We had to understand it and we had to demonstrate
00:22:16.660 that that that's what was actually happening. And then if that was the case, if cancer cells had
00:22:23.740 usurped the autophagy pathway for their survival, then we needed to inhibit autophagy for cancer
00:22:32.020 therapy. The first thing we did was we looked to see what would happen if we inhibited autophagy
00:22:40.580 in these cancer cells? And the answer was very simple. In many, many circumstances and many
00:22:48.520 different cell lines that we looked at, when you inhibited autophagy, the survival of the cancer
00:22:53.840 cells was reduced. Let me interject for a second and ask a question. I don't know if you ever did
00:22:58.780 this experiment, but if you took the kidney line and the kidney cancer line, so basically the same
00:23:04.060 histology from the same tissue from the same animal, but one has the oncogenic properties and
00:23:10.540 one does not, and you put them in the identical nutrient deprived stress, can you quantify the
00:23:18.480 amount of autophagy or the efficiency with which those two cells undergo autophagy? In other words,
00:23:23.280 is cancer simply preserving the autophagy capacity that it had as a non-cancer cell,
00:23:31.700 but not enhancing it or not having any attenuation of it? Is it simply just, hey,
00:23:36.260 this just happens to be something that gets preserved as you go from non-cancer to cancer?
00:23:40.040 Or is there some qualitative or quantitative change in the character of autophagy as a cell mutates?
00:23:47.300 That's interesting. So let me see if I can unpack that. So if you have the general observation
00:23:54.120 is that normal cells in the fed state don't have autophagy on, it functions at a very,
00:24:02.800 very low level. And if you starve cells or mammals for nutrients, then there's a massive
00:24:11.200 upregulation of autophagy. What was striking about the cancer setting was that even in the fed state,
00:24:19.360 autophagy was elevated. Ah, so there is a fundamental difference there.
00:24:23.860 Yes. And then if you stress them, it goes up even further. But the problem is,
00:24:29.740 is that when it's already high, how much higher can it go?
00:24:33.260 And just to be clear, Eileen, this is in vitro. So you can't even make, when you said that,
00:24:38.780 the first thought that came to my mind was, well, maybe the reason is they're undergoing a different
00:24:43.020 stress, which is, for example, a vascular stress, a hypoxic stress, because, you know,
00:24:46.520 haven't got enough VEGF or they haven't created enough. In other words, the apoptosis is going up
00:24:51.960 despite being fed because there's something else that's impairing them. But if what you just said
00:24:56.440 is true in vitro, then that wouldn't explain that, would it? In other words, if they're not
00:25:01.160 limited for oxygen, if they're in a petri dish and this is happening, my hypothesis wouldn't make
00:25:06.100 sense. That would only make sense if what you said was true in vivo. Right. So in the fed state,
00:25:11.260 the cancer cells already have elevated autophagic flux. And when you fast them, it does go up, but
00:25:20.420 it's only so high it can go. I see. So this probably, you know, it's really funny. I'm sure
00:25:27.060 you're familiar with the paper that Matt Vander Heiden and Luke Hantley and Craig Thompson run in
00:25:30.280 Science in 2009, which was, at least to my knowledge, the first time that someone offered
00:25:35.300 an alternative explanation for the Warburg hypothesis, which is, hey, it might not be that
00:25:39.580 the mitochondria of the cancer cells are defective and can't undergo oxidative phosphorylation.
00:25:44.820 It might be that they're optimizing for growth as opposed to metabolism. They don't care as much
00:25:50.200 about ATP as they care about building blocks. And therefore they're deliberately taking an
00:25:55.880 inefficient route of glycolysis to lactate because they want the cellular building blocks. And that
00:26:02.980 might be the explanation here is that the tumor cell is undergoing more constant proliferation and
00:26:10.360 therefore they want more building block. Exactly right. And in fact, when we look at cancer cells and
00:26:17.780 we study their metabolism, what we've noticed, and this is something that we found, and it's been
00:26:23.560 a common observation, is that nucleotides seem to be rate limiting. And so the metabolism of a cancer
00:26:33.780 cell is designed to facilitate de novo synthesis of nucleotides. So that's really interesting,
00:26:40.980 isn't it? When you realize something about it, like you think of all the things that could potentially
00:26:44.340 be rate limiting to a cell. Think of how many phospholipids, for example, they need to build
00:26:48.980 all of those cell membranes. And yet it's the nucleic acid to continue to propagate its DNA
00:26:57.200 that becomes rate limiting. That to me is very interesting. I wouldn't necessarily have ever guessed
00:27:02.000 that. We may learn more as going forward, but that is what seems to be a recurring theme. But it's not
00:27:09.980 just DNA, it's also RNA. And you have to remember that RNA and ribosomes make up a huge amount.
00:27:16.840 They're a much greater demand. Exactly. And I think David Sabatini has mentioned this many times that
00:27:22.520 a large amount of the mass of a cell is ribosomal RNA. And he had a beautiful paper
00:27:29.620 where he was making the argument that ribophagy, the autophagy of ribosomes,
00:27:35.880 was an important metabolic survival mechanism. And you could think of ribosomes as being a depot,
00:27:42.920 a storage depot for not only nucleic acids, but also protein. And when a cell
00:27:50.140 is stressed or starved, it doesn't need to make protein. So it doesn't really need large numbers
00:27:56.280 of ribosomes. And so the autophagy pathway can cannibalize those ribosomes because they're
00:28:03.180 unnecessary. And then recycle all that protein and nucleic acids to support survival.
00:28:10.600 A moment ago, you mentioned, of course, that some of this had already been observed in yeast. And
00:28:14.340 the moment we start talking about things that are true in yeast and then true in animals,
00:28:18.640 mammals, for example, or higher-order animals, we're talking about a billion years of evolution
00:28:22.240 here. So this ranks as one of the few things that seems remarkably conserved over evolution.
00:28:28.760 As a general rule, that makes it very important. Do we have a sense of when this first showed up?
00:28:36.420 Again, I might be out of my league. I mean, I know it's certainly a big
00:28:40.120 function in yeast. Prior to yeast, I don't know.
00:28:44.440 Yeah, but it's amazing. I mean, it's in the category of mTOR.
00:28:48.280 Yes.
00:28:48.880 Something that is so important that it just doesn't really seem to change over about a billion years.
00:28:55.120 Rule of thumb, it matters.
00:28:56.680 That's right. And I think when you compare how yeast does autophagy and how mammals do autophagy and
00:29:03.100 what they're using it for, it just looks like mammalian version of autophagy is a little bit
00:29:09.320 more complicated. It's probably, they have probably more different circumstances where autophagy
00:29:17.060 might be necessary, but the basic process is surprisingly the same.
00:29:23.940 What are some of the other stresses that induce autophagy? And let's maybe just for the moment,
00:29:28.360 even start with just in a normal cell. So let me sort of re-synthesize what we've talked about.
00:29:33.380 Clearly, nutrient deprivation is one of the biggest triggers for autophagy. And I mean,
00:29:38.380 maybe just for the sake of time, I'll kind of throw this out there and you can correct me if I'm wrong,
00:29:43.380 but I've always sort of thought of this through three pathways at the sort of mechanistic level.
00:29:47.860 So you have sort of the mTOR pathway, which is mostly sensing amino acids. You have the
00:29:54.120 AMPK pathway, which is mostly sensing energy and ATP in general. And then you have sort of the
00:29:59.920 acetyl-CoA protein deacetylation pathway, which is also just basically sensing substrate of fatty
00:30:06.140 acid and glucose. Is that sort of a fair way to say that those are three ways that low nutrients can
00:30:13.080 still trigger the same pathway? Yeah. And I think you could add on to that
00:30:17.800 stresses that result in organelle damage, such as depolarization of mitochondria or dysfunction of
00:30:26.800 mitochondria, activation of protein misfolding and generation of protein aggregates. So I think
00:30:34.520 there's the things that are directly related to metabolic signaling that you've mentioned,
00:30:39.640 but then there are other stresses that also can tie into the autophagy pathway.
00:30:44.080 Are there other stresses like the nutrient that are stresses that come from outside the cell to
00:30:49.380 inside the cell? So the protein misfolding, the mitochondrial depolarization, those are things that
00:30:56.180 are occurring as damage within the cell that stress. Do we know anything, for example, about temperature?
00:31:01.120 Do heat shock proteins stimulate autophagy in extremes of temperature? Does exercise, I mean,
00:31:07.040 which obviously is in the short term quite stressful, how potent is that at inducing autophagy in a normal
00:31:12.880 cell? So temperature wise, I would fully expect that temperature extremes would induce protein
00:31:20.340 misfolding and induce autophagy as a remedy for that. But I don't recall any studies on that. In terms
00:31:28.980 of exercise, that's very well studied that exercise induces autophagy very potently. And you actually need
00:31:38.380 autophagy to, because exercise damages the muscle and autophagy is one of the processes that helps
00:31:46.160 mitigate the damage that occurs during exercise. What about hypoxia? Oh, potently. Hypoxia potently
00:31:54.000 induces autophagy. Wow. And in fact, one of the first things we did was when we looked at tumors,
00:32:00.280 tumors are well known to have hypoxia in the center. When we engineered tumor cells to
00:32:08.100 be genetically deficient for autophagy, and you look at them, they're completely hollow.
00:32:16.160 Meaning they have no organelles, nothing? Not the cells are hollow. The tumor is hollow. Oh, wow.
00:32:21.880 The further the cells get from a blood supply, meaning the more susceptible they are to hypoxia,
00:32:27.300 they're dead. Right. So if you take a tumor, if the middle is hypoxic, that's where your autophagy is
00:32:34.040 most active. And if you genetically ablate autophagy in the tumor, you end up with a hollow tumor
00:32:39.420 because the tumor cells in the middle don't survive. Yeah. So it does come back to this
00:32:44.400 idea that we talked about earlier about hypoxia being potentially one of the things that autophagy
00:32:49.000 is protecting cancer from. Absolutely. How easy is it to create an animal model that is unable to
00:32:55.620 undergo autophagy? How difficult is that from a knockout perspective? Well, it's been done and we've done
00:33:01.340 it and it can be done different ways. So the original mouse strains that were made were deficient
00:33:07.680 in either of two of essential autophagy genes, one called HG5 and another one called HG7. And these
00:33:15.660 mice were developed in Japan and these mice are born, but they fail to survive the neonatal starvation
00:33:24.460 period. So when mammals are born... Meaning once they are cut off from an umbilical nutrient source,
00:33:29.760 it's almost like they have a glycogen storage disease, you know, those conditions where you
00:33:33.600 can't produce any glycogen, it's uniformly fatal if not treated the moment you're cut off from an
00:33:38.940 umbilical source of nutrient. Right. So that neonatal starvation period between the cutoff of the
00:33:47.480 placenta and suckling is a common feature in mammals. And there's potent induction of autophagy during
00:33:56.580 that period. I can't speak for humans, but certainly I would think so. And in mice, that's exactly what
00:34:03.200 happens. And so these autophagy deficient newborn mice don't survive. Wow. That really, I mean, again,
00:34:11.500 I think that simply underscores the evolutionary preservation of something. If you knock it out,
00:34:17.100 it is uniformly fatal. Do not pass go. Do not collect $200. You're gone.
00:34:21.380 And then what we did was, you asked a different question. It was like, what happens in an adult
00:34:27.240 mouse? So in a newborn mouse, it's a very different situation because any newborn mammal,
00:34:34.880 they don't have any fat. They have no reserves. And so when the Japanese group did the extraordinary
00:34:41.620 thing of trying to force feed these autophagy deficient newborn animals, and they didn't extend
00:34:48.160 their survival very much. Now, is this Yoshinori's group?
00:34:51.620 This was Niburo Mizushima and the Kumatsu group, I believe. I think it was coming from those two labs.
00:35:00.640 So what happened in that experiment?
00:35:02.040 They discovered that the mice died shortly after birth. And then they realized that, well,
00:35:09.360 they suspected they had a metabolic problem and they weren't suckling because they were probably too
00:35:15.440 ill by the time they would have been able to. So they force fed them and that allowed them to live
00:35:23.300 for 24 hours, but they still died anyway. And then are you able to induce an autophagy knockout in an
00:35:31.420 adult? Yeah. So that's what we did because we realized that the newborn animal is- It's just too
00:35:37.580 fragile. Too fragile. They have no nutrient reserves. And actually in the setting of cancer,
00:35:43.320 we're thinking of, you want to treat an adult with a tumor. So what's happening in autophagy in a
00:35:50.600 newborn animal isn't even relevant. And so we engineered mice where we can take an adult mouse
00:35:56.980 and give the mice a chemical so that an essential autophagy gene will be deleted throughout the entire
00:36:04.860 animal. So one day they're an adult mouse with autophagy. And then a few days later, they're an adult
00:36:11.500 mouse with no autophagy. And these mice were very extraordinary. They lived for two to three months
00:36:18.560 and then they died predominantly of neurodegeneration. Autophagy is very important in the brain over the
00:36:26.320 long term. But if we fasted the mice, they were all dead within 16 hours.
00:36:33.160 Let's unpack that again. That's pretty remarkable. So you take a normal mouse that's got through the
00:36:38.780 vulnerability period of infancy and you genetically knock out its capacity for autophagy. The first
00:36:45.560 thing you observe is if you fasted for 16 hours, which admittedly is a pretty long fast for a mouse,
00:36:49.920 that might be the equivalent of fasting a human for a week. But that degree of nutrient deprivation
00:36:55.440 is uniformly fatal. If you continue to feed them well, they only survive another couple of months
00:37:01.740 because they ultimately succumb to neurodegeneration, suggesting that the role of autophagy in preventing
00:37:09.280 neurodegeneration is essential. And it's really not surprising when you think about the role,
00:37:14.700 everything you talked about with protein misfolding. I mean, when you start to think
00:37:17.780 about the toxicities that are driving neurodegeneration, using Alzheimer's disease
00:37:22.880 specifically as an example, there's a lot of crap that's basically getting accumulated in neurons.
00:37:29.820 This would be an elegant way to suggest that autophagy is keeping that at bay.
00:37:34.740 Exactly right. So one other way of looking at it is what tissues are more autophagy dependent than
00:37:43.340 others? Exactly. Brain would be really important. And there are a few others. And what we've noticed
00:37:48.960 when we looked at the mouse, the lacked autophagy, when we genetically deleted the autophagy gene in
00:37:56.200 the adult mouse, was that there were tissues like the brain that were very sensitive. And there were
00:38:02.920 other tissues like the lungs that didn't have any phenotype. So wait, in other words, when those
00:38:09.120 animals ultimately die of neurodegeneration and you undergo the pathology analysis, obviously the brain
00:38:14.360 is where you see the cause of death. You're saying in the lung, it looked completely normal.
00:38:19.640 Relatively normal. What about liver?
00:38:22.180 Liver was very sensitive. So it doesn't lead to the death of the mouse. So if you did a liver specific
00:38:30.360 knockout of an essential autophagy gene, those mice have theotosis and their liver gets huge and
00:38:37.440 whatever, but it doesn't kill them. I mean, they can live for quite a long time.
00:38:41.620 So you induce fatty liver disease. So again, suggesting that autophagy probably plays a role
00:38:47.580 in preventing fat accumulation in the liver. Exactly right. And also protein aggregate
00:38:52.580 formation. One of the other phenotypes of steatosis is the accumulation of these Mallory bodies,
00:38:59.400 which are large protein aggregates composed of a protein called P62. When you lose autophagy in the
00:39:06.360 liver, you're causing accumulation of fat accumulation of protein aggregates, but the liver manages to
00:39:14.640 tolerate it. The brain, however, is a different story. If you have post mitotic neurons where
00:39:22.240 they don't have the capacity, they don't have the capacity to do that. I mean, when they accumulate
00:39:26.540 the crap, as you said, then it's game over.
00:39:29.240 Was there evidence that the brain in some last ditch effort to survive was undergoing more apoptosis
00:39:37.080 of neurons? Yes. That's a common feature of these animals is increased apoptosis in the brain. But
00:39:44.940 before that, you see all kinds of terrible things going wrong. This has been part of a major effort
00:39:50.980 to generate autophagy stimulators as a remedy or as a means to delay neurodegenerative diseases.
00:40:01.060 I want to come back to this later on in the discussion, but I'll just plant the seed now.
00:40:06.140 Obviously, fasting is one of the most potent stimulators of autophagy. I spend a lot of time
00:40:11.660 thinking about how does fasting fit into our toolkit of longevity? A big part of longevity,
00:40:19.760 in fact, probably the single most important piece of longevity when it comes to the lifespan aspect
00:40:24.660 of it. So, you know, you think of lifespan versus health span, how long you live versus how well you
00:40:28.260 live. On the how long you live front, I think it's very safe to say, based on all of the animal data
00:40:34.260 and frankly, all of the centenarian data, that the key to living longer is delaying the onset of
00:40:40.520 chronic disease. So even when you look at centenarians who are genetically gifted with tools to live
00:40:47.820 longer, if you unpack what the gift is, it's delaying the onset of the disease, not living
00:40:54.780 longer once you have the disease. So the centenarians, once they get cancer and once they get heart
00:40:59.340 disease, they die at about the same rate over the same duration as the rest of us schmucks.
00:41:04.040 The difference is they get those diseases 20 to 25 years later. And again, that suggests to me that
00:41:10.420 if you want to live longer, you have to delay the onset of these things, not live longer once you have
00:41:14.200 them. And so it's hard to think that fasting doesn't play an essential role in that. When you realize
00:41:21.740 the role that fasting plays in the mitigation of Alzheimer's disease and metabolic disease, of course,
00:41:28.180 what we're going to come back to in a second is cancer, which seems to be this conundrum. This is the
00:41:32.400 needle we're going to want to thread a little later down the line. I'll plant the seed now, but I do want
00:41:37.900 to come back to the idea of ways that we can also induce autophagy sort of pharmacologically or
00:41:45.000 chemically. The first thing that would jump to your mind is anything that mimics fasting. The first
00:41:49.800 thing that comes to mind would be metformin, rapamycin, things like that, that what we talked about
00:41:54.700 earlier, just for the listener to sort of tie this together, we talked about these huge pathways that tell
00:42:00.760 the body nutrients are scarce. So when mTOR activity is down, that's a sign that we're deficient in amino
00:42:08.200 acids, but we can also do that with rapamycin. When AMPK is up, that's the cell being told we're
00:42:15.480 deficient in ATP. Another way you can do that is to give metformin. We haven't talked about sirtuins yet.
00:42:21.400 Maybe I'll pause for a moment. Do we have any sense of what sirtuin activity does in autophagy?
00:42:26.940 I'm not familiar with that literature. Okay. I was going to say,
00:42:30.300 because then you could get into the whole NAD versus NADH ratios and how that might factor into
00:42:34.860 it. So again, I'm really curious about this through a clinical lens as well, which is what
00:42:40.160 is the suite of products, but almost just saying that out loud. So between the two of us, we remember
00:42:44.260 to come back to this, but I now kind of want to get back to your story, which is we've got these mice,
00:42:49.280 you've got this much more elegant experiment now, which is you're actually going after the phenotype
00:42:53.480 of interest, which is in an adult in which you inhibit autophagy. What was happening in that
00:42:58.980 animal if it had cancer? So did you ever do the experiment where you had an adult with cancer,
00:43:04.680 then you knock out autophagy? That's actually one of the reasons we made that mouse.
00:43:10.080 So we had two questions we wanted to answer. One was if you inhibited autophagy in an adult mouse,
00:43:17.940 what would happen? Because if they died in an hour, then targeting autophagy for cancer therapy
00:43:24.480 would be pointless. Especially if you can't do it specifically. That's right. So the answer was
00:43:29.460 they didn't die in an hour, they died in two or three months, which was actually good news,
00:43:33.860 because that meant that there was a potential window of opportunity for inhibiting autophagy for
00:43:40.800 cancer therapy. And I'm sorry, Eileen, when they died in two to three months, was it still from the
00:43:44.620 neurodegenerative disease? And did they still have cancer at the time of death? We had to first make
00:43:48.920 a mouse that lacked where we could switch off autophagy and find out what happened to that mouse.
00:43:54.800 Okay, so we did that. And we saw that they died of neurodegeneration two or three months,
00:44:00.680 which was good. They died immediately, then we would have stopped, there would be no point in trying
00:44:06.160 to make cancer on that animal. But we did learn that they were intolerant to fasting, which was
00:44:12.840 perfectly consistent with everything we knew about what autophagy functionally did. So then we moved
00:44:19.220 to the second step, was to do the experiment that you just suggested, to make cancer in that mouse.
00:44:27.540 And then after the mouse had cancer, to then shut the autophagy pathway off. And then to ask the key
00:44:34.340 question, which died first, the mouse or the tumor? And the answer was the tumor died first.
00:44:41.840 Wow. Okay, so then here's the gangster question. Once the tumor died, could you reactivate autophagy
00:44:48.560 to prevent the neurodegeneration? Or is it a one switch direction?
00:44:52.700 That required a different type of mouse model. So what we were doing was making a mouse with cancer.
00:44:59.520 And then once the mouse had lung cancer, in this case, we deleted an essential autophagy gene in the
00:45:06.140 entire mouse tumor and all. But the gene was gone. So it wasn't like we could turn autophagy back on
00:45:14.120 in that model. But since then, one of my trainees in collaboration with a lab in the UK, they have
00:45:21.180 developed a model where they can toggle autophagy off and then back on again. And what they've seen
00:45:29.360 is a remarkable capacity of the normal tissues to restore themselves. So the experiment would be to
00:45:38.020 have a mouse to induce an shRNA to a specific autophagy gene to down regulate the expression
00:45:45.920 and inhibit autophagy that way. And then later on, take that shRNA away or shut it off and restore
00:45:55.680 normal autophagy in the mouse. And you see a lot of capacity for the tissues to restore themselves
00:46:03.440 back to normal. So that experiment basically becomes the proof point that says targeting
00:46:12.460 autophagy in cancer makes sense. That's probably the most elegant description you could provide of that.
00:46:18.580 That's right. I think it would be better if we had specific targeted therapies against
00:46:25.660 some of the enzymes in the autophagy pathway, because these are all genetic experiments. And
00:46:32.060 it's not exactly the same. Right. You might not get the complete penetration with a drug.
00:46:37.580 Or inhibiting a protease is not exactly the same as deleting the gene. But this is all what's called
00:46:45.640 proof of principle that the concept of inhibiting autophagy in cancer is valid.
00:46:52.180 So what do we know today about what you've just described as it pertains to two things? So I want
00:47:00.720 to slice the data across two variables. The first is tissue type or histology of cancer. And the second
00:47:08.100 is underlying genetic mutation. So I know that a lot of what you're describing is clearly true in KRAS
00:47:14.600 mutation. What about other drivers? We and a number of other cancer labs that use genetically engineered
00:47:24.140 mouse models for cancer have been banging away at that for a number of years. And what we've learned is that
00:47:30.580 KRAS driven lung cancer and pancreatic cancer are extraordinarily autophagy dependent. And you do it, you know,
00:47:39.660 make the mouse models and the tumors are very susceptible to the functional loss of autophagy.
00:47:45.720 Can you briefly tell folks what a KRAS driven cancer does? Like what is it about the mutation that drives
00:47:51.720 the oncogenesis? So KRAS is a GTP binding protein that is responsible for activating what's called the
00:48:00.740 MAP kinase pathway. And this pathway is very key in driving cell proliferation. And so cancers
00:48:09.480 have a mutation in RAS or mutations in RAS that leave it in the GTP bound or on state. So there's
00:48:19.080 perpetual growth signaling through the MAP kinase pathway. Which of course is the hallmark of cancer,
00:48:25.160 which is it's unresponsive to cell signaling. And when you are fixed in the on position,
00:48:29.300 you can't turn off. And basically that is cancer. That's right. And what's particularly
00:48:34.960 interesting about RAS driven cancers is that we have been very unsuccessful in drugging RAS.
00:48:42.800 And there's recent hope that the cysteine, the particular subset of the mutations in RAS that
00:48:49.940 involve a cysteine residue, that there are now drugs that target that. There's hope after decades of
00:48:57.080 failure.
00:48:57.720 Is the primary issue in the failure to drug RAS that you can't do it without creating toxicity for
00:49:05.320 other cells that are non-cancer or that it has too many workarounds to whatever you put in place?
00:49:11.080 I think too many workarounds is a common problem. What they've done is that they said, okay,
00:49:16.860 if targeting RAS is difficult, then let's go downstream of RAS.
00:49:20.600 And try MAP kinase.
00:49:21.720 Right, right. So there are inhibitors of RAF, MEK, and ERK, which are downstream of RAS. And those are
00:49:29.600 actively in use in the clinic, but they seem to be not durably effective in RAS driven cancers because
00:49:39.200 of the workarounds.
00:49:41.060 Yeah. So are there mutations or mutant drivers of cancer that we know are not dependent on autophagy
00:49:49.180 and unresponsive to the autophagy blockade?
00:49:52.680 Yeah. It seems like there's a spectrum. So RAS driven cancers are particularly sensitive.
00:49:59.620 BRAF driven cancers like BRAF V600E is a common BRAF oncogenic mutation. And those cancers are
00:50:09.160 particularly sensitive. And those, the ones that were examined were lung cancers and melanoma.
00:50:14.920 The BRAF V600E mutation melanoma is very common. Homologous recombination deficient breast cancers.
00:50:24.700 And those would be, well, I mean, those would be models of hereditary breast cancer. Those are very
00:50:30.980 sensitive to loss of autophagy. APC deficient colon cancer is another example.
00:50:38.920 What about non-APC driven colon cancer, which of course is the majority of it? What do we know about that?
00:50:44.920 I don't think I can remember seeing a paper. I remember the APC deficient model. That's in fact
00:50:52.500 the most commonly used model.
00:50:54.360 Anything we know about prostate cancer or other hormone sensitive breast cancers?
00:50:59.700 So prostate cancer is sensitive. We did that work. And hormone sensitive breast cancer,
00:51:06.080 I'm not recalling right now, but there are a long list of cancers that are sensitive. The sensitivity
00:51:12.700 is not all equal. For example, BRAF driven cancers are very sensitive, more so than RAS driven lung
00:51:20.960 cancer. So you just compare lung, BRAF lung cancer to RAS lung cancer. The BRAF mutant lung cancer is more
00:51:28.440 sensitive. The most sensitive cancer that we've encountered is in fact, RAS driven lung cancer with
00:51:35.620 LKB mutations. And this makes a lot of sense too. So one of my trainees who has her own research lab
00:51:43.180 hypothesized that we sat down and we thought, what cancer would be, would you predict to be most
00:51:49.960 autophagy dependent? And it should be a cancer with loss of LKB1. LKB1 is a tumor suppressor gene
00:51:58.520 that's involved in activating AMP kinase. And AMP kinase activates autophagy as a survival mechanism to
00:52:07.400 low energy. And so there were a whole class of lung cancers that have lost LKB1. And as a result,
00:52:15.860 they can't activate this protective mechanism. This is Dr. Jessie Guo. She made this mouse model,
00:52:23.180 rash driven lung cancer without LKB1. And lo and behold, when you delete an essential autophagy gene,
00:52:30.580 you abrogate tumorigenesis. So it makes a huge amount of sense. LKB deficient rash driven lung
00:52:39.080 cancer is probably the number one sensitive tumor. So how do we reconcile these two observations
00:52:48.220 that almost seem to have a difficulty coexisting? So the first is everything you've just stated,
00:52:54.400 which is pretty clear and unambiguously suggesting that autophagy is at least for a number of cancers,
00:53:03.960 an important part of their survival and proliferation. And we contrast that with an
00:53:11.060 abundant body of literature that suggests that when you combine fasting, which is a potent
00:53:17.420 inducer of autophagy with chemotherapy, for example, you enhance its efficacy. And we can
00:53:23.900 speculate about why that might be the case. These two things, although not directly comparable,
00:53:30.100 seem a little bit at odds. How do you think about those things?
00:53:34.960 I would probably think about it in a slightly different way. So if you want to get at the two
00:53:40.880 different roles of autophagy, one is cancer cells usurping it and turning it on for their own
00:53:47.200 survival. Then the other side of it is when we know that autophagy is protective. We know what
00:53:54.460 happens if you have a mouse without autophagy. Many terrible things happen. It takes a while,
00:53:59.780 but the mice die of neurodegeneration. Can I interrupt for one second? I'm sorry to do this,
00:54:04.340 but I'll forget this question. I want to come right back to your thought. In those animals that
00:54:08.780 died of neurodegenerative disease after two to three months, did they show an increase in
00:54:14.140 tumor genesis in any other tissue? No, they don't. But if you make a mouse
00:54:20.140 where you bypass the neurodegeneration by knocking out an essential autophagy everywhere else,
00:54:27.680 okay, but not the brain, then those mice will get benign hepatomas, so benign tumors of the liver.
00:54:34.740 But that makes sense too. Think about autophagy in normal tissues. We know it's important because if you
00:54:41.520 knock autophagy out on a mouse, there's tissue-specific but gradual deterioration,
00:54:47.820 ultimately leading to neurodegeneration, and you end up with steatosis, fatty liver disease.
00:54:54.100 The brain phenotype can be explained, as we discussed before. Neurons in the brain need this
00:55:01.000 protein and organelle quality control function. They're post-mitotic. They have to have a way of
00:55:05.920 getting rid of the garbage. In the liver, what happens when you damage the liver?
00:55:11.800 It regenerates. It's got infinite capacity.
00:55:14.160 That's right. But what happens when you-
00:55:16.980 Unless there's too much inflammation.
00:55:18.960 Exactly. So you end up with, when you inactivate autophagy in the liver,
00:55:23.420 you end up with these chronic cycles of damage, repair, and chronic inflammation.
00:55:28.500 And that is oncogenic. And that's not, you know, it's particularly obvious in the liver.
00:55:34.400 The pancreas as well.
00:55:35.540 Exactly.
00:55:35.820 Very, very sensitive to that inflammation.
00:55:37.820 So I think what this is telling us is something very important. It's telling us that a main function
00:55:44.960 of autophagy in tissue homeostasis is to preserve cellular function to be normal to prevent chronic
00:55:56.220 damage and inflammation. And tissues that are susceptible to cancer as a result of chronic
00:56:02.760 damage and inflammation, autophagy is highly protective.
00:56:07.400 Which again, think about how complicated this is. Now I'll bring us back to the question I posed
00:56:12.340 a moment ago, but using this example, why does NAFLD ultimately lead to cancer? Because if you have
00:56:18.060 enough accumulation of fat, you get enough inflammation, you're going to get a pedacellular
00:56:21.220 carcinoma. Same with pancreatic cancer. Highly, you know, this is why alcohol is such a horrible
00:56:26.420 molecule. So toxic to the pancreas, to the liver, and you sow those seeds of inflammation and lo and
00:56:33.420 behold, you're increasing this risk of cancer. So on the one hand, we know that autophagy helps
00:56:39.280 ameliorate that. It cleans that up. It buffers that. At the same time, we just realized a moment ago,
00:56:44.400 oh boy, once you do get pancreatic cancer, it's a KRAS-driven cancer, autophagy is helping it.
00:56:50.200 That's right.
00:56:50.620 So now let's come back to the question I posed a moment ago that I so rudely interrupted you in
00:56:54.140 answering, which was, how do you reconcile these?
00:56:57.300 I think it's a matter of thinking of the role of autophagy in cancer as being context dependent.
00:57:02.560 On the one hand, functional autophagy can delay the onset of chronic damage and inflammation
00:57:10.620 that are known causes of cancer in particular tissues, such as the pancreas and the liver
00:57:16.340 amongst a few others. So I think that stimulating autophagy through fasting or through pharmacologic
00:57:25.920 means at one point can be thought of as preserving health. But once you have a cancer, I think it's a
00:57:33.140 different ballgame. And at that point, it's a completely different context. And in that setting,
00:57:42.360 what we've learned is inhibiting autophagy is preferentially damaging to the tumor compared
00:57:49.580 to the normal tissues.
00:57:51.600 And then going back to the other literature, which looks at the efficacy of fasting combined
00:57:58.140 with chemotherapy, which is superior to just chemotherapy, do you think that the reason for
00:58:04.660 that is that the chemotherapy itself, maybe once you're rendering the cells more sensitive to
00:58:12.160 chemotherapy and also potentially generating a more durable immune response? Because one
00:58:16.920 interpretation of what you're saying is a person with cancer should never be calorically restricted.
00:58:21.240 I don't know. That's going too far. I would say that I don't know that you can equate caloric
00:58:29.140 restriction with the loss of autophagy or regulation of autophagy because I think they're not equal
00:58:36.780 things because I think that caloric restriction is limiting tumor nutrients. And so I think what that's
00:58:45.280 doing in the context of cancer therapy needs to be better understood. I'm just not sure that we know
00:58:53.320 what's happening there.
00:58:56.120 If I'm hearing you correctly, you're saying, look, it might be that we can't necessarily say that
00:59:00.580 fasting isn't helpful in cancer because while it may be counterproductive from the standpoint of
00:59:07.300 autophagy, that may be offset by other things that are beneficial, such as the reduction of overall
00:59:11.780 nutrients and inflammation that accompany this.
00:59:14.040 Exactly right.
00:59:15.540 Yeah. To me, of all of the areas of autophagy that have me scratching my head the most,
00:59:21.100 it is this question of, given that fasting is one of our most potent ways to stimulate it. In fact,
00:59:28.480 I would argue it's more potent than metformin, which is an AMPK activator, more potent probably
00:59:33.020 than exercise. I mean, it might be the most potent thing we can do to turn this amazing tool on.
00:59:37.740 How do we think about using it in disease prevention and disease treatment? And they aren't necessarily
00:59:42.860 the same thing.
00:59:43.520 I completely agree. And in fact, I would ask a question of you. So there's multiple efforts in
00:59:51.460 the biotech industry to identify pharmacologic agents that are potent stimulators of autophagy.
00:59:58.400 And I think their idea is, is that normal, healthy people will take a pill, autophagy will be turned
01:00:05.080 on, and there'll be some fountain of youth type thing.
01:00:09.420 Yeah. Spermidine is one of the things that people are talking a lot about, right?
01:00:12.500 So why not cultivate the use of fasting instead?
01:00:18.680 I will tell you exactly why, Eileen. And I love how you have fed into, it's almost like you can
01:00:24.580 read my mind and know where I'm going to go with this discussion. I think a big part of it is we
01:00:30.780 don't have the tools to measure the signatures of autophagy. In other words, if a patient comes to me
01:00:37.840 and says, Peter, I want to do whatever I can to enhance autophagy because I have now bought into the
01:00:45.280 idea that it is going to basically protect me from every chronic disease. And I would say,
01:00:50.180 yeah, I agree with you. And they say, great. Fasting seems like a great way to do it. I'd say,
01:00:54.240 you're absolutely right. And they say, well, how long do I need to fast, Peter?
01:00:57.560 Guess what I get to say? I don't know. And I'll tell you in reality what I say. I say, well, look,
01:01:03.220 I'm really sure that after about seven days of nothing but water, autophagy is fully cranked.
01:01:09.320 And I'm also really sure that if you just go 12 hours without a meal, you probably haven't done
01:01:15.120 anything. Where I struggle is we're between them. Now I want to share with you some personal
01:01:21.100 experience and I want you to weigh in on it. And then I think maybe we can pivot off into
01:01:25.780 actually kind of going back to what you and I spoke about over the phone five or six years ago,
01:01:30.200 which is what would a molecular signature for autophagy look like? And again, I think this is,
01:01:36.340 I put this in the top three most important translational questions in my field. In other words,
01:01:42.380 as I think about the practice of medicine, as it pertains to longevity, it's our inability to
01:01:49.140 understand how to quantify the benefit of nutrient deprivation. In other words, our inability to dose
01:01:55.360 it. That is our greatest, certainly among our top three detriments to using this incredibly potent tool.
01:02:03.280 So I fast a lot. I just finished a fast yesterday, actually. So I used to do a thing where I fasted
01:02:09.080 seven days every quarter. So four times a year, I would just do a water only fast.
01:02:14.640 How hard is it to do that?
01:02:16.960 It is not that hard. I'm going to be completely honest with you. I wish I could sit here and say,
01:02:21.680 oh, I'm a real stud. Nobody can do it. No, no, no. Anybody can do it. I really think anybody can do
01:02:27.060 it. Which is not to say that there aren't moments throughout those fasts where it's sort of difficult,
01:02:31.040 but you'd also be surprised at how resilient the body is. So yeah, not that hard. You have to make
01:02:36.720 some adjustments. Obviously you have to be very thoughtful about how much water you're drinking
01:02:41.020 and how many electrolytes you supplement. There are a lot of changes that are happening in terms
01:02:44.640 of electrolyte management and things like that. But again, we certainly have the knowledge to know
01:02:49.120 how to manage people through that. But I began to ask the question, right? Which is, okay, is seven
01:02:55.180 days a quarter the right dose? I'm convinced that it's a big bolus of autophagy, but is it frequent
01:03:01.400 enough? What about three days every month? That's about the same number of total days fasted,
01:03:08.200 but it's more frequent, but it's probably less potent. And the reason I sort of decided to try
01:03:12.680 three days a month was I noticed that a couple of things happened at the end of my fasts. So I always
01:03:19.500 check my blood before and after one of these seven day fasts, and there's a very predictable set of
01:03:24.260 changes that occurs. Some of them that are really obvious. Glucose plummets. Insulin becomes
01:03:29.260 unmeasurable. Uric acid goes through the roof, along with beta-hydroxybutyrate, of course.
01:03:36.080 Two possible explanations for the uric acid going through the roof. One is the breakdown of nucleic
01:03:41.500 acid. And obviously, when I talk go through, I mean doubling of uric acid. So much so that I
01:03:46.980 started taking allopurinol during a fast to make sure I didn't get gout. Of course, it could also be,
01:03:52.900 and I've read something that says that uric acid and BHB compete for the same transporter in the
01:03:58.340 kidneys. So there might also be a bit of a competitive blockade, but nevertheless, we have
01:04:01.940 at least one possible explanation there. Endocrine function changes dramatically. T3 goes down
01:04:07.380 significantly and reverse T3 goes up significantly such that the ratio of them changes by four to six
01:04:14.720 fold, which means you basically shut off metabolism. Not surprising. Explains why you become incredibly
01:04:21.620 cold and tolerant during a fast. And also gonadotropins go down. So you have all these really
01:04:27.540 predictable things. Well, what I noticed was I see virtually all of them, though not quite to the
01:04:32.620 same magnitude after three days, but not after two days. So that just got me intuitively thinking
01:04:38.680 in a hand-waving way that three days was sort of the minimum dose you needed to really move the
01:04:47.200 needle on a bunch of these other metabolic things, meaning the spike in uric acid, the bottoming out
01:04:52.400 of glucose. So there's another thing that sort of happens. It's as you turn more and more free fatty
01:04:57.460 acid into ketone and turn more glycerol into glucose, you reach an equilibrium where your glucose is
01:05:03.800 pretty much going to stay at about three to four millimolar. And that takes about two to three days.
01:05:09.540 And again, when we think about it through the lens, we've already discussed AMPK must be up through the
01:05:15.560 roof, mTOR must be through the floor, and protein deacetylation must be off. I think my gestalt is
01:05:23.820 that that takes about three days. And obviously it gets greater and greater the more you go. But what
01:05:29.640 would be amazing is if I could draw a tube of blood, send it to you after a three-day fast, a four-day fast,
01:05:36.960 a five-day fast, a seven-day fast, a 10-day fast, and get some sort of quantification. What is it that we
01:05:44.080 would see in... Now, of course, it's complicated because you'd probably want to accompany each of
01:05:49.140 those tubes of blood with a muscle biopsy so that you could look at LC3, LC2, and things like that.
01:05:53.580 So I'll stop on my diatribe for a moment and now turn it over to you, which is where would you even
01:05:59.260 begin to look for that signature of autophagy? And let's just start broadly with any tissue. You can
01:06:03.800 have blood, you can have muscle, you can have liver, you can have adipose tissue. How would you now
01:06:08.900 create a dose effect? Well, we know that what happens in a mouse, let's just take a minute to
01:06:17.020 discuss that. So Mizushima Lab made a mouse that had a transgenic LC3 EGFP protein expressed,
01:06:26.440 and they could use that mouse. Tell folks what LC3 is just so... Because we're going to talk about
01:06:30.340 this quite a bit. So LC3 is the protein that is attached to the autophagosome membrane and links
01:06:38.600 to the cargo that ends up in the autophagosome. So this is a very mechanical thing, right? Like
01:06:44.600 this goes back to your observation in the electron microscope. Exactly right. So LC3 is one of the
01:06:50.920 key proteins attached to the autophagosome membrane. And you use it to see autophagosomes because
01:06:59.960 normally when autophagy is off, LC3 is diffuse. But when autophagosomes form, the LC3 protein is
01:07:10.020 attached to them and you start to see spots where all the autophagosomes are present. And so the
01:07:17.520 Mizushima Lab used that to assess autophagy in a living mouse. They fasted the mouse and they found that
01:07:26.920 they could see the formation of autophagosomes throughout the mouse.
01:07:31.560 And could they do this in like PBMC out of blood or did they need to use tissue?
01:07:35.560 They did it with tissue. What they learned was that yes, autophagy is turned on during fasting in
01:07:41.880 a mouse, which wasn't surprising, but it seemed to not be uniform across every tissue. So that was
01:07:50.000 interesting. But we don't have a way to do that in people. All we can do, because this is involved
01:07:57.420 making a genetically engineered mouse. So the only thing we can do in people would be to look at a
01:08:04.100 tissue section and stain it for LC3 and look to see if there were spots.
01:08:09.700 In other words, you could not look at LC3 conversion in white blood cells.
01:08:14.000 You could, but there's another problem in that you could take PBMCs and do a Western blot for LC3
01:08:21.380 and LC3 gets processed from LC3 one to two. And the two form is the one that's attached to the
01:08:29.660 autophagosome membrane. So you could do a Western blot of PBMCs to measure the conversion of one to two,
01:08:38.980 but then two ends up in the lysosome and gets degraded. So the typical measurement of
01:08:47.280 autophagic flux involves measuring the rate at which LC3 one gets converted to LC3 two,
01:08:55.160 and then the rate at which LC3 two ends up being degraded in the lysosome. And in order to see that
01:09:03.060 flux, you need to block the degradation of LC3 two in the lysosome with baphylomycin or hydroxychloroquine.
01:09:13.080 And so you would only be able by looking at LC3 one and two in PBMCs in a person that was fasting,
01:09:21.460 you would only be able to infer autophagic flux because you wouldn't actually be able to measure it.
01:09:29.360 It's a clue. It's a clue. It wouldn't be proof, but it would be one could presume. I would expect
01:09:36.680 you would see more conversion of one to two and then two going into the lysosome. I don't think
01:09:43.140 that would get you the answer that you need. Now, what if we had a hundred volunteers who are willing
01:09:48.340 to fast and subject to blood draws and muscle biopsies? So you could use the muscle biopsies
01:09:56.100 to actually quantify the flux and establish, let's say you could do it at a different time point.
01:10:01.780 So you had a hundred people fast for different periods of time, three, four, five, six, seven
01:10:06.080 days, et cetera. You've got tissue and you've got blood. What else could you look for? So again,
01:10:11.620 could BHB be a proxy? Could glucose be a proxy? I remember you once mentioning another organic
01:10:18.600 molecule you had identified. You knew it by how many carbons it had, and you thought it was ringed,
01:10:24.360 but you weren't sure what it was yet. Have you figured that out?
01:10:27.540 Yes. That was something that accumulated when we inhibited autophagy, and that was glucuronic acid.
01:10:34.560 So that would be, I think you're going down the right road. So I think what we can do,
01:10:41.720 and we haven't really done this yet, would be to look at metabolites because metabolism is so
01:10:50.300 drastically changed. So if we can't look at directly measure autophagic flux in humans very easily,
01:10:57.860 because we don't yet have the proper tools, we could use metabolites as surrogate markers for
01:11:07.900 the consequences of autophagy.
01:11:11.940 That's exactly why I call it a signature as opposed to a biomarker, because I think it's basically,
01:11:17.440 how do you use machine learning to take many metabolites? There's a bunch of things we know
01:11:23.820 are happening. We just have to integrate them. We know that leucine is going down. We know
01:11:27.960 methionine will be almost unmeasurable. We know what's going to happen to glucose, uric acid. And
01:11:33.400 then there's probably a whole bunch of other small molecules and things in the proteome that we don't
01:11:37.500 yet know that are probably discernible from PBMC directly or indirectly through other things in
01:11:44.620 the plasma. And it just seems like a problem that is so ripe for a machine learning environment where
01:11:51.000 you don't need that many people because you know what the gold standard is. You just starve them. And
01:11:56.820 then you have the check, which is the muscle biopsy, which can give you some sort of quantifiable
01:12:01.140 gradation. I mean, do you get the sense that that's something an IRB would approve? It's invasive,
01:12:06.500 you know, it requires biopsies and fasting and things like that. But, or would they demand that you,
01:12:10.540 hey, first you have to do this in mice? That's what I would expect. And so one of the things that
01:12:15.840 we have been talking about is we've done some of this, but probably not enough, is to do a metabolic
01:12:24.600 characterization of a wild type mouse fasted versus an autophagy deficient mouse fasted. I think that
01:12:33.460 would potentially identify the metabolic changes that were autophagy dependent. And I think that would
01:12:40.520 provide some clues as to what to look at in humans, because the problem with looking at metabolism
01:12:47.680 is you get an enormous amount of data and it's very, very helpful to know what to look for. We may
01:12:54.520 have a list of things that are obvious to look for, but... Right, but the fine tuning is going to come
01:12:59.660 in the non-obvious. It's not going to be a regression model based on five things we know. It's going to be
01:13:04.720 much more complicated. And I prefer not the under the lamppost science.
01:13:10.780 Yeah, take an unbiased view and go... And honestly, I get asked about this more than any other
01:13:17.240 translational problem. So the good news is I think there are a lot of people in the philanthropic
01:13:22.180 community that would be interested in this, even if this is not a question NIH is interested in.
01:13:26.880 I doubt NIH is interested in this problem, although that strikes me as
01:13:30.760 odd given how potent a tool fasting is and yet how we don't know how to dose it. And I think it's worth
01:13:37.280 pausing on that for a moment because that is such a stark statement, if I'm correct. I believe I am.
01:13:43.160 Which is, imagine we had the most amazing drug imaginable. Imagine we had a proteose inhibitor
01:13:50.640 for HIV and we knew deep down this could cure HIV. The problem is we didn't know how to dose it.
01:13:56.580 How long would we tolerate that ignorance? Imagine we had a drug that we knew could kill cancer,
01:14:04.260 but we just didn't know how much to give or how often to give it. We wouldn't tolerate that for
01:14:09.240 a minute. And yet in fasting, we have arguably the most potent tool, and certainly if not the most
01:14:17.600 potent, probably one of the three most potent tools in which we can affect human health. And we don't have
01:14:23.900 a clue how to dose it or what frequency with which to use it. And I find that ridiculous.
01:14:31.180 So I'm actually really confident that if there were a really great proposal put together that
01:14:38.380 would go from the animal model to the human model, it would be fundable. It would be fully fundable
01:14:44.140 through philanthropic efforts. And so if nothing else comes of this discussion, I would love to plant
01:14:49.300 that seed with you and think about what would be the right consortium of people to do that work.
01:14:54.380 Obviously, there are lots of skill sets that we'd want to have involved in there, but I really believe
01:14:59.640 that could be funded quite easily. And I think that the implication of that is as potent as anything
01:15:04.400 else. Because again, here I am doing my three-day fast every month versus my seven-day every quarter
01:15:09.840 versus five-day every quarter. We just don't know. And it really is troubling to me. It just drives me insane.
01:15:16.400 Well, I think for the general community, I think it's an important question, even for practical
01:15:23.360 reasons, because you may be able to control your life to the extent that you can do all this at your
01:15:32.720 own convenience. But a lot of people don't have that flexibility. And so if they can be told that
01:15:40.820 fasting for X amount of time is all you need to do, then the beneficial effects of fasting could be,
01:15:49.560 there would be more people that could take advantage of it.
01:15:52.500 Absolutely. And if you look at the work of someone like Walter Longo, who his assertion is,
01:15:58.300 you can get most of the benefit without actually having to be fully fasted, but to do something that
01:16:03.260 is like a fast mimic, where you reduce your calories significantly for a period of five days.
01:16:08.260 Again, maybe he's right, but we have no idea. We have no idea what the efficacy of that approach
01:16:15.120 is versus a total water-only fast for five days. And it would be great to know, because
01:16:20.040 if we could demonstrate that you're getting 80% of the benefit doing a fast mimicking diet versus a
01:16:25.740 complete fast, well, that opens the door to many more people who would be willing to do fast mimicry
01:16:31.400 versus an outright fast. And again, I think about this constantly, which is, I'm almost willing to
01:16:37.980 do anything. I just want to know what to do. So I think that now is the right time to ask that
01:16:44.000 question. Let me just digress a little bit to talk about metabolism. So we know a lot about metabolism,
01:16:52.660 essentially the field of not only just cancer metabolism, but metabolism in general mapped out
01:16:59.640 all the metabolic, most of the metabolic pathways. But what we lack the ability to do until fairly
01:17:07.000 recently was to have a thorough understanding of metabolism in a living mammal. And so Joshua
01:17:14.920 Binowitz and I have invested a lot of effort in developing technology to use isotope tracers.
01:17:23.800 This would be C13 labeled glucose and amino acids and so forth. And to deliver them to living mice
01:17:32.880 running around and doing normal mice things in a cage, and then look to see how they're used and how
01:17:40.160 different tissues use them and how there's nutrients sharing between tissues. Because when you're
01:17:47.460 fasting, there's many complicated things going on. It's not just like there's no food and you're
01:17:54.880 inducing autophagy and that's that. That's the only thing that's happening in a vacuum, right?
01:17:59.500 So you have dedicated nutrient stores, you have glycogen in your liver that's mobilized,
01:18:04.620 and that's dumping glucose into the bloodstream. You have made out of post tissue that starts
01:18:11.300 degrading your triglycerides, and then you end up with glycerol and fatty acids in the bloodstream,
01:18:17.640 which then, you know, are taken up by the liver and so forth. So you have all these, you know, if you're
01:18:23.580 really without nutrients for a long time, then your muscle proteins start being degraded, which is
01:18:30.120 probably undesirable. That's dumping amino acids into the circulation so that you can maintain your
01:18:36.920 survival. We have to understand all of that. Because it really occurs in different phases.
01:18:43.320 Again, if we just limit it to humans for a moment where we have a pretty good understanding of this,
01:18:48.000 what's happening in the first 24 hours versus the next 24 hours versus the next 24 hours is very
01:18:53.060 different. And George Cahill's famous fasting study, the 40-day fast on the healthy subjects,
01:18:58.400 really divides it into these phases. What's interesting is by about seven days into a
01:19:05.220 prolonged fast, you pretty much reach a steady state. You've got a pretty consistent flux of
01:19:10.900 triglyceride into free fatty acid out of the fat cell. You reach a steady state level of beta
01:19:16.120 hydroxybutyrate, acetoacetate, and glucose, such that basically the sum total of them in millimolar
01:19:22.160 concentrations is about preserved to where you would be non-fasting-like. And so it begs the question,
01:19:28.660 if we posit that once you reach that steady state of seven to 10 days, you're clearly in a fully
01:19:34.680 turned on autophagy state, what's the switch look like? When you're 24 hours or 48 hours or 72 hours
01:19:42.720 into that, are you 80% of the way to the benefit or just 20%? That's a jugular question.
01:19:48.720 Yes. I think it would be fascinating to understand that. And I think that if you look back over
01:19:56.160 history, almost all cultures have fasting as part of their history. And I'm thinking that
01:20:05.080 that is not by accident. I think they must have learned by trial and error that this was a healthy
01:20:11.580 thing to do. And so I think that autophagy, I would expect is playing a major role in promoting health
01:20:20.340 in response to fasting. But I really think, well, maybe I'm sticking my neck out, but I think
01:20:26.440 using fasting as opposed to trying to find some pill you could take is something that's easy to do.
01:20:34.840 And of course, it speaks to the irony of it, which is if you took probably 1% of the budget that is being
01:20:40.900 dispensed to find pills that stimulate autophagy, we would actually be able to answer this question
01:20:46.240 clearly and actually just have a dose of response. And look, that doesn't mean these things can't
01:20:51.680 coexist. I'm all for it. And I wanted to ask you, of course, about some of the other pills like
01:20:57.320 rapamycin and metformin and the role that they might have and how we might be able to measure that.
01:21:00.800 But again, this just strikes me as the most obvious question in the space of how to prevent disease.
01:21:09.580 And it's like you have this beautiful, beautiful tool and you don't know what the dose is and you
01:21:16.800 don't know what the frequency is. If someone knows that they're susceptible to a neurodegenerative disease,
01:21:23.740 has anyone looked at those people to see if they engaged in some sort of fasting regimen,
01:21:31.800 whether that was helpful or not? Indirectly. I mean, it's possible that that's been done
01:21:37.040 directly and I just am not familiar with that. I think what we've seen indirectly is dietary
01:21:42.260 restriction as opposed to just pure caloric restriction where you improve the quality of
01:21:47.680 macronutrients, specifically around improving glycemic control. You can take people that are in an
01:21:53.680 early stage of cognitive impairment and delay it and or reverse it through that type of nutritional
01:21:59.260 intervention. Now, of course, that doesn't necessarily say autophagy is playing a role
01:22:03.640 because that's doing a lot of other things. It's improving glucose and insulin signaling in the
01:22:09.460 brain. It's doing a lot of other things and we're really starting to see the impact of metabolism in
01:22:14.000 the brain. So that's not entirely clear. Indirectly, I would say there are, I think, some pretty
01:22:20.200 interesting, compelling pilot data that suggests that rapamycin is neuroprotective. And again,
01:22:27.180 rapamycin, a very potent inhibitor of mTOR, would presumably on some level induce autophagy. I think
01:22:33.320 it's a very interesting question as to what is it about rapamycin that induces a longevity phenotype.
01:22:41.600 Rapamycin to me is the most interesting molecule out there because it is, I think, the only molecule
01:22:46.720 that has demonstrated a longevity benefit across all four models of eukaryotic cells. So that's a
01:22:53.860 really big deal that can't be ignored. But how much of that benefit is through autophagy? I'd like to
01:22:59.160 turn that question to you. How much of it is through inhibition of senescent cells, reduction of
01:23:04.940 inflammation? Again, so it's very indirect and it speaks to, again, I don't mean to sound like a
01:23:11.380 conspiracy theory guy because I'm not, but it is a little frustrating that we have these amazing
01:23:16.300 tools, but because they're not particularly profitable, you don't really have somebody
01:23:20.180 that's interested in answering them. And that's why I, again, come back to, A, I think these are
01:23:24.380 answerable questions. B, I don't think they are billion dollar questions. I think they are really
01:23:29.200 questions that are amenable to the philanthropic community. And I think from an ROI perspective,
01:23:34.920 it's hard to think of examples of where you could put dollars to work in research that would
01:23:39.520 have a greater impact on human life.
01:23:41.380 Right. And I think that our biomedical community is mostly focused on putting out fires rather than
01:23:50.980 disease prevention, although I've seen a change. I mean, I see at the NCI, the National Cancer
01:23:56.960 Institute, a bigger interest in cancer prevention. So I think people are coming around to realizing that
01:24:05.980 making people healthier longer is probably more important than once they discover to have stage
01:24:13.660 four pancreatic cancer, what can we throw at it to make them live another two months?
01:24:20.620 Yeah. Again, it is sort of amazing to me how lopsided our resource allocation is with respect to that
01:24:28.500 problem, because you're absolutely right. We have spent probably a quarter of a trillion dollars
01:24:34.960 in the last 40 years on the second question, which is once you have metastatic cancer, how do you live
01:24:42.360 longer? And we've done an analysis on this. So for the quarter of a trillion dollars that has been spent
01:24:48.080 on that problem on average for solid organ tumors, we have extended median survival by less than about
01:24:55.900 a year since 1970. So almost 50 years. That's pretty sad when you think about the fact that there's not
01:25:03.500 much evidence we've reduced the arrival of cancer. In fact, all we've done is basically come up with a
01:25:10.700 second leading cause of cancer in terms of modifiable behavior, which is after smoking. It
01:25:16.060 becomes down to diabetes, insulin resistance, and all of the metabolic dysregulation. So yeah, I'll get
01:25:22.080 off my soapbox now. But again, this is in many ways just a sort of a plea for help, which is I think
01:25:27.700 there's an amazing opportunity to understand this. So there's another component to this that worries me
01:25:33.980 greatly. So what we've seen, you know, so a lot of this, you're talking about controlling metabolism
01:25:42.400 to preserve health through implementation of fasting and understanding fasting. But look what's
01:25:49.740 happened to the American diet. I mean, there are people now that don't even recognize vegetables in
01:25:59.480 the supermarket. There are people that only eat prepared food. And so what we've seen is, on the
01:26:09.200 one hand, you're talking about preserving health and all that. But on the other hand, the overall
01:26:14.840 health of Americans is deteriorating. Obesity is greatly increased and has no sign of abating.
01:26:23.180 The diet of Americans loaded with high fructose corn syrup and diets that are disproportionate with
01:26:32.360 prepared food. So the only way to globally improve the health of Americans or anyone else for that
01:26:41.040 matter is to deal with both of these problems at the same time. And to me, that's probably the
01:26:46.880 greatest line of reasoning that says fasting is probably protective against all chronic disease.
01:26:53.900 Because if you look at the three main chronic diseases that account for, to our last analysis, 82%
01:27:01.660 of deaths above the age of 50 in the United States, excluding COPD. So if you take out the obvious
01:27:08.880 smoking-related death of COPD, 82% of death is attributable to cardiovascular disease, cancer,
01:27:15.540 Alzheimer's disease, and complications of diabetes. That's pretty stark. There's no question that when
01:27:23.980 you improve metabolic health, which you can do through fasting, you reduce the risk of all of
01:27:29.420 those significantly. Of course, the question becomes, how much of a role does autophagy play in
01:27:34.900 that? Specifically, you look at the example you gave of neurodegeneration. That makes a very compelling
01:27:39.920 case for it. Probably also in cancer. What do we know about cardiovascular disease, by the way?
01:27:44.540 Nothing comes to mind. I don't recall seeing anything in that area.
01:27:50.600 Yeah. I mean, my take on the literature is that the benefits of fasting in cardiovascular disease
01:27:58.060 are primarily mediated through the metabolic health benefits of it. Lower glucose, lower insulin,
01:28:04.880 lower homocysteine in time, lower inflammation primarily, as opposed to something that directly
01:28:11.480 pertains to ApoB or the inflammatory response to that. But again, maybe it's just there and I
01:28:17.620 haven't seen it. What else do you think is going on? What travels with autophagy? Can we talk about
01:28:22.700 senescence for a moment? Do we understand a sense of what's happening when an animal or a human is
01:28:27.240 undergoing autophagy with respect to either SASP or just the overall senescent cells?
01:28:33.660 Yeah. There seems to be complicated roles for autophagy and senescence. There's evidence from
01:28:41.780 the Noreta lab that SASP, the secretion of inflammatory factors that occurs during senescence
01:28:49.360 is facilitated by autophagy. But then in the cancer setting, there's also examples where
01:28:57.680 loss of autophagy limits senescence. So I think in the senescence area, it's still a little bit
01:29:05.320 confusing and maybe a little bit context dependent as to what's happening.
01:29:11.640 And then going back to the question about molecules, what do we know about metformin
01:29:16.360 and autophagy? Do we know that in a fed state, if we give an animal or a human metformin,
01:29:23.580 we can still induce autophagy, all things equal through just the AMPK activation?
01:29:28.820 Yes. And I think that that's true, but I think that we don't understand over the long term what
01:29:35.880 happens and what the consequence of having autophagy or not having autophagy is. So for example,
01:29:43.640 we've never given metformin to our mice that don't have autophagy. That might be an interesting
01:29:49.920 thing to do. What is the consequence of autophagy induction by metformin? It actually might be
01:29:57.520 better to do that in a system where autophagy could be, wasn't completely gone, but could be
01:30:05.940 toggled up. Do you have the ability to turn autophagy into an analog versus a digital,
01:30:12.760 meaning where you can actually use gradations versus just on or off?
01:30:17.120 Yes. I think the mouse model where autophagy, the expression of a central autophagy gene is
01:30:24.320 controlled by an shRNA might be the way to do that experiment.
01:30:29.000 And then what about rapamycin? What do we know about the use of rapamycin, which has been studied
01:30:36.040 so liberally across, again, everything from yeast, flies, worms, mammals, uniformly extends life,
01:30:42.680 potent inhibitor of mTOR, which would signal autophagy, all things equal. Where do we see
01:30:47.600 that relationship? So there's been a lot of discussion about using rapamycin or rapalogs
01:30:54.340 as autophagy stimulators, but it's like what you said before, it does many other things and
01:31:01.800 it's also immune suppressive.
01:31:03.880 Although that also depends on the dose, right? I mean, the Evrolimus data suggested that it was
01:31:09.020 actually immune enhancing when given intermittently.
01:31:12.300 I also have to remember that if you have a small molecule like rapamycin and you want to
01:31:18.480 use it to preserve someone's health, you have to make sure that it's safe. And I think that's when
01:31:26.360 everyone backs away. Because if you've got cancer and they want to try an experimental drug and you've
01:31:33.560 got no other hope and you're going to be dead in a short period of time, there's a bit of latitude in
01:31:41.240 what can be done clinically to test whether or not there's a small molecule or some sort of drug that
01:31:48.340 will be safe and possibly have efficacy. But when you're talking about prevention, it's a big problem.
01:31:57.520 The drug companies are not interested in it because the amount of time it would take in the risk of...
01:32:05.060 Right. Just a much narrower margin. By the way, that's exactly the reason we're in the situation
01:32:09.260 we're in. So just to reiterate, we have a situation where I am not convinced that longevity as a game
01:32:17.280 is going to be one on the back of extending the time you have a disease. I have never seen a shred
01:32:23.880 of evidence to suggest that that is the answer. Everything in humans and animals points to the
01:32:29.760 opposite end of the spectrum. Longevity is about delaying the time it takes until disease comes.
01:32:35.420 The implication of that is prevention is the single most important tool in the longevity toolkit.
01:32:41.220 How do we reconcile that with what you just said? All of our pharmacologic efforts,
01:32:46.140 the trillion dollars we spend on drug development is all on the wrong side of the equation.
01:32:53.200 It's on the how do you live longer once you have a disease? And I understand why that's the case
01:32:59.900 for all the reasons you just said. And if that doesn't make the most compelling case for taking
01:33:05.520 the best and safest drug of them all, which is fasting and understanding how to dose it and what
01:33:11.000 frequency to dose it, I don't know what makes a better case. Along with exercise, by the way,
01:33:14.820 I put exercise in that same category, which is it bothers me that we don't really know how to dose
01:33:20.140 exercise either. I mean, it's less of a problem, I think, because for most people, the issue is do
01:33:26.480 more, but it would be really nice to know what the dose response is on different types of exercise,
01:33:33.340 especially for people who want to do the minimum effective amount. So both from an exercise
01:33:37.840 perspective and a nutrient deprivation perspective, there's no more low hanging fruit
01:33:42.760 in terms of minimizing human suffering than understanding how these things work.
01:33:47.180 You should start a biotech company to do this.
01:33:49.980 David Sabatini and I have talked about this at length, and he has constantly told me to do this.
01:33:55.420 And the way we've thought about it, it's not going to happen because I won't do it.
01:33:59.480 So someone else will have to do it.
01:34:00.720 The way David describes it very eloquently is, right now, metabolic response to nutrients is
01:34:07.260 a black box. And what David thinks, and I think he's right, is there's a multi-billion dollar
01:34:13.440 opportunity in decoding the black box. In other words, when we understand exactly what the response
01:34:20.640 is to each different type of nutrient in every different dose and frequency, and we can decode that
01:34:26.540 in the way that we can do with so many other biochemical processes, you can do everything.
01:34:31.220 Because then you could actually develop drugs, probably, that could actually do something.
01:34:34.500 So there's a drug development platform that comes out of that. And then from my standpoint,
01:34:38.480 what I'm really interested in is simply just on the front lines as a sort of knuckle-dragging doctor,
01:34:43.820 how do you even just put this into clinical practice? But again, it's high risk. It's a lot of
01:34:48.900 effort to do part of that. I think on the drug development side, there's a lot there. I don't think
01:34:53.060 it's very high risk on the question I posed to you earlier. I think let's do the mouse study
01:34:58.860 and identify the 50 metabolites, proteomic signature things that are generally going up
01:35:07.180 with autophagy, and then let's shotgun that in an unbiased way against human subjects. I feel like
01:35:13.200 that's a project in the tens of millions of dollars, not even the hundreds of millions of dollars.
01:35:18.840 And again, if you add one year of life to each human as a result of that, that's kind of staggering.
01:35:25.420 Right. And I think if you couple understanding mechanisms of metabolic delay of damaging diseases
01:35:35.600 with surveillance for risk factors, I think those two things really need to be coupled together
01:35:44.080 because you can, even if you define what the optimal diet and exercise and fasting regimen is for
01:35:53.940 delaying the onset of disease, there are still unlucky people. And I think that we can't forget about
01:36:02.780 them in the context of health and longevity and well-being because you could have the healthiest diet
01:36:09.740 and do everything right. Vogelstein has written about this, right? I mean, there's clearly a
01:36:14.660 component, there's a stochastic component to this. And yeah, so absolutely. And again, I don't think
01:36:19.720 there's any reason to believe that we couldn't be addressing both of these.
01:36:22.500 Yes. I mean, I think that there's no reason to do everything. One always has to bear in mind that
01:36:28.960 there is this other risk factor that no matter what happens with understanding metabolism and fasting and
01:36:37.520 good health practices, that other thing is still going to be there. If you have a BRCA1 mutation,
01:36:44.660 that's a compounding and separate issue.
01:36:48.300 So in 2016, the Nobel Prize was awarded for basically the genetic elucidation of autophagy.
01:36:55.500 What are the salient features of that award? What was it about Osumi's work that led to that award?
01:37:00.940 So what Osumi did was quite profound and very creative. He developed an assay. Well, he asked,
01:37:08.920 what are the, I mean, yeast requires nitrogen for survival. And he asked, what are the genes that
01:37:15.040 are required for nitrogen survival? And he identified the autophagy, essential autophagy genes.
01:37:21.780 And I always wondered whether if he was in the United States, would work like that be funded?
01:37:29.580 Because it just seems like it was an important question, but-
01:37:33.860 It didn't have such a clear application down the line.
01:37:37.300 That's right.
01:37:37.580 It was a bit too high risk to fund.
01:37:40.060 Right. And also the clear disease connection wasn't there and so forth and so on. And nonetheless,
01:37:46.220 he did that. And I guess the point is, is that sometimes scientific discoveries are so basic
01:37:53.280 that you can't ever anticipate what it would ultimately lead to. And in this case, it led to
01:38:00.740 something very extraordinary, but he probably had no idea at the time. And once they discovered these
01:38:09.120 essential autophagy genes in yeast, then it was apparent that there were homologs in mammals and so
01:38:14.920 forth and so on.
01:38:16.220 How conserved are those genes between yeast and mammals?
01:38:19.600 If you do a blast search, you can see them. I mean, not all of them, but the amino acid homology
01:38:27.120 was compelling.
01:38:29.220 Wow. So when you sort of think about the future of this, I think so much of what we've talked about
01:38:35.060 kind of feeds into what your optimism is, but how do you want to spend the next 10 years of your
01:38:41.160 career? What are the questions you want to probe?
01:38:43.900 I think I would like to translate what we've learned about the role of autophagy in cancer.
01:38:52.720 And that involves developing small molecule inhibitors to inhibit autophagy for cancer therapy.
01:39:01.740 And Alec Kiliman and I started a company to do that. And what we're focusing on now is defining at the
01:39:12.080 molecular level what the functional requirements for autophagy are in individual cancers. And this
01:39:21.340 involves understanding the metabolic role of autophagy, why one cancer needs autophagy more than another.
01:39:28.160 And then the newest connection is the connection to inflammation. When you inactivate autophagy,
01:39:34.920 you stimulate inflammation. And this is what we've talked about earlier. In the context of cancer,
01:39:40.720 that could be a really good thing because the game changer in cancer therapy now is immune checkpoint
01:39:48.160 blockade. In fact, what I was just talking about at the ACR meeting yesterday was the particular
01:39:55.860 patient that came to our cancer center and went through surgery, radiation, chemotherapy,
01:40:03.620 and it all failed. And her body was riddled with tumors. And she went on a clinical trial
01:40:11.540 for immune checkpoint blockade and all the tumors melted away. And that was five years ago. And she's
01:40:18.120 perfectly fine. So what we have to do is make that work for everybody. And if inhibiting autophagy activates
01:40:26.820 the immune response and can facilitate not people who wouldn't respond to immune checkpoint blockade
01:40:34.200 to respond, then that would be critically important to do.
01:40:39.560 I mean, let me think about that for a second. So when we think about the patients that are responsive,
01:40:45.220 and we really have two big targets, right? CTLA-4 and PD-1. Melanoma obviously is a huge
01:40:53.580 success story here because it is so mutagenic. It's interesting. I have a friend who has Lynch
01:40:59.820 syndrome. So that's a familial syndrome where people are predisposed to cancer. He developed
01:41:05.580 colon cancer when he was quite young, went on to develop pancreatic cancer, adenocarcinoma of the
01:41:10.560 pancreas, which is uniformly fatal, almost without exception. He presented with an advanced state.
01:41:16.340 So he was not even a surgical candidate. So the tumor had completely engulfed his mesenteric artery
01:41:21.760 and vein, which meant he couldn't even undergo the surgical procedure, though it wouldn't have done
01:41:26.480 much anyway. I had just read a paper six months earlier in the New England Journal of Medicine
01:41:32.420 about, I forget what the paper was exactly about, but it made me think that because he had Lynch
01:41:40.080 syndrome and he has so many mutations, he might be a candidate for a checkpoint inhibitor.
01:41:45.000 So we went back to his oncologist and said, hey, can we get him on Keytruda? They said,
01:41:49.860 which is an anti-PD-1. They said, no, there's no standard for that. But we found a clinical trial,
01:41:56.600 actually got him in. He got Keytruda. That was five years ago. He's disease-free. So you go from
01:42:03.580 unresectable pancreatic adenocarcinoma to no pancreatic cancer. Pretty remarkable.
01:42:09.720 Now the question is, when I think about how broadly extendable that's going to be,
01:42:15.780 it really comes down to how many shots on gold do you get? How many mutations do you get
01:42:21.220 such that you can activate these checkpoint inhibitors? And so tell me how autophagy fits
01:42:27.500 into that, because I think I'm missing the link of why enhanced immune, non-specific immune response
01:42:35.160 would factor into that. I know there's a link, but I need you to explain it to me.
01:42:39.400 So that's exactly where we're going with our research.
01:42:43.420 I should have been at the AARC yesterday.
01:42:45.940 So we know that tumors with a very high mutation burden respond better to immune checkpoint blockade.
01:42:54.480 But it's not that simple, because there are patients with tumors that do have a high mutation
01:42:59.300 burden that don't respond, and we don't know why. It could be they've upregulated some other
01:43:04.820 checkpoint that we can't yet inhibit, or it could be some other reason they don't express class one,
01:43:10.720 or that the immune system can't see the tumor for some various reasons. And then we also know
01:43:17.340 there are tumors that have a low mutation burden that do respond.
01:43:20.800 Yeah. And so a big part, in fact, we just got an NIH grant to study this, is to make mouse models
01:43:30.020 of cancer with low, medium, and high mutation burden with which to study.
01:43:36.760 And then you can bang out autophagy.
01:43:38.740 Exactly. We haven't done the autophagy part yet. We're just generating the models using proofreading
01:43:46.440 mutations and polymerase epsilon and delta to generate mice with cancer with various levels
01:43:55.200 of mutation burden in their tumors. And this is so cool, because we'll be able to ask basic
01:44:01.800 questions like, how many mutations do you need? When you have a low mutation burden, what can you do
01:44:08.020 to make the immune system see that tumor? Do you need only mutations in the nuclear genome? What about
01:44:15.680 mutations in the mitochondrial genome? So one of the mouse models we made was to generate a mutator
01:44:23.700 phenotype in the mitochondrial genome. There are human cancers that have a high level of mitochondrial
01:44:30.500 genome mutations. Whether that has any effect on anything is completely unknown. There's no reason why
01:44:37.980 they couldn't be presented as tumor antigens.
01:44:41.860 And you'd think, if anything, they would be more immunogenic. I mean, they should be, all things equal,
01:44:47.600 just because of their bacterial origin. That should elicit a much greater immune response.
01:44:52.000 Exactly right. This is what this grant is designed to do, to generate mutator phenotypes
01:44:57.820 in mouse models of cancer, so we can have a spectrum from low to really high mutations
01:45:03.780 in the nuclear genome as well as the mitochondrial genome, then to figure out the mechanism of response
01:45:09.960 to immune checkpoint blockade to make cold tumors hot. And that's essentially what the loss of
01:45:17.640 autophagy is doing by promoting inflammation. It's taking a tumor that is not killed by T-cells,
01:45:24.920 that does not respond to immune checkpoint blockade, and rendering that tumor responsive.
01:45:30.540 And where do you put this in the hierarchy of optimism for the future of cancer therapy? I mean,
01:45:37.480 to me, the interesting stuff in cancer therapy is getting more and more targeted and stacking more
01:45:41.860 and more therapies on top of each other. So this is an elegant example of stacking something that is
01:45:47.780 clearly going to become a pillar of oncology, which is immune-based therapy, with something that,
01:45:53.980 frankly, is partially metabolic and, frankly, partially more complicated than just metabolic therapy.
01:45:59.920 So you've got, you almost add this to the layer of pieces of Swiss cheese you start to stack on top.
01:46:06.200 If you have enough of them, you're not going to be able to drop a pencil through. The cancer doesn't
01:46:09.240 survive. That's right. So one of the limitations that we have with immune checkpoint blockade is,
01:46:16.100 some of which I've already mentioned, we can't identify who's going to respond and who's not going
01:46:21.480 to respond, and we have to extend the responder pool. But we have to be able to model that,
01:46:28.800 because it's very clear that as single agents, there's going to be immune checkpoint blockade
01:46:34.540 therapy is not going to help most of the patients. So how do we go about optimizing this treatment?
01:46:43.400 And having models where you can combine immune checkpoint blockade with other therapies to
01:46:51.740 evaluate what is the optimal response is critical, and that's what we're doing. And whether fasting
01:46:59.120 influences this, it's completely unknown.
01:47:03.560 What's the role of autophagy in the immune cell itself? So either adaptive or innate? I mean, maybe both.
01:47:09.740 So we know that one of the things we did was to turn autophagy off in a mouse and ask how that affected
01:47:21.760 basic immune responses. And the answer was, everything in the short term appeared to be
01:47:28.940 completely functional. And if anything, the T cells were more anti-tumorogenic. But if you go into
01:47:37.760 the long term, if you knock out an essential autophagy gene, only in T cells, for example,
01:47:44.740 and look nine months later, I think those T cells are not going to be very functional.
01:47:49.740 But it really depends on how you design the experiment. For cancer therapy, we want to know
01:47:56.620 what happens acutely. When you're inhibiting autophagy, you're going to be looking at things in the
01:48:04.740 short term, not in the long term. So there's still a lot we need to do in that area. But in the short
01:48:13.180 term, for cancer therapy, the immune system seems to function well, if not better, in the presence of
01:48:22.040 autophagy inhibition.
01:48:23.340 And this just doesn't stop getting confusing. Because again, you would think that given the
01:48:31.540 benefits of autophagy and preventing cancer, one of them, you would think that that would only enhance
01:48:38.720 innate immunity because of the role innate immunity plays in cancer screening. Which again, I think just
01:48:44.740 speaks to we are still really scratching the surface of all of the different tentacles that come out of
01:48:54.320 these tools. Something like fasting seems very simple. And it's simple, of course, to do. But it
01:49:00.680 has such a set of pleiotropic extensions and benefits that it's very unlikely that it's about
01:49:08.520 all or none. There's nothing black and white here. It's really all these shades of gray
01:49:13.060 that it's not intuitive when you look at them what the net effect is, because it's a little bit of
01:49:18.640 this, a little bit of that, more of this than that. It's the balance of this versus that.
01:49:23.480 Yes, I would agree. And I think context is important too.
01:49:27.520 When you think of all the big chronic diseases, just based on what you've talked with us today
01:49:31.980 about, I think we have to be really excited about Alzheimer's disease based on the model you've
01:49:36.460 shared. I mean, that strikes me as an amazing opportunity because one, we don't have a single
01:49:43.400 tool. Once somebody has Alzheimer's disease, I'm sure you saw the most recent, I don't know if you
01:49:48.440 follow that literature, but we just saw two enormous failures in the anti-mammeloid beta drug trials.
01:49:56.040 So we're back to kind of square one, which is not a single drug that works for this condition.
01:50:00.380 If any disease demands prevention, it has to be this one. It's hard to make the case that fasting
01:50:08.540 isn't going to play a beneficial role there, isn't it? I believe you. I'd love to-
01:50:13.000 I mean, we have to test this now. Yeah, we have to test. It has to be tested. But I think that when
01:50:17.000 you look at the dramatic failures in preventing or delaying Alzheimer's disease, you have to ask the
01:50:25.720 question, what is the root cause of that? And if you look at the approaches, all the approaches are designed
01:50:33.840 to ameliorate a symptom. And the research has not yet gotten to the root cause. And I think that that is the
01:50:45.680 reason for these spectacular failures, is they're trying to treat a symptom of the disease, rather than the cause of
01:50:55.640 the disease. And when you look at the genes that are involved in neurodegeneration in general,
01:51:03.240 they fall into a broad array of different categories. And so my thinking is that they're all
01:51:10.600 doing different things, but there's some common denominator that has yet to be identified.
01:51:16.220 And I think that until the root cause of disease is identified, just finding means to ameliorate the
01:51:28.440 symptoms is not going to be productive. Eileen, you know, I could sit here and talk about this for
01:51:33.780 hours and hours. I want to be respectful of your time, because I know you've stayed an extra day to
01:51:38.060 have this discussion with me, which I really appreciate. Is there anything else you want to talk
01:51:41.720 about today, either as it pertains to your work, something you're excited about in the future,
01:51:47.060 or anything else that pertains to autophagy? I mean, I think that understanding in greater detail
01:51:54.460 how autophagy impacts metabolism, we've done some of that, but I think there's way more to do.
01:52:02.060 We have the technical ability to examine metabolic flux in a mouse in vivo, in normal, in starvation
01:52:11.260 conditions, and in response to different diseases. And we're only at the beginning of doing that.
01:52:18.400 And I think that that's something that we will continue to do, and hope that we can identify
01:52:25.060 new targets for anti-cancer therapy or signatures of metabolic problems. And we will continue to do
01:52:35.860 that. But again, I want to return to the immunotherapy. I think in the field of cancer,
01:52:41.600 building on that huge gain, we can't take our eyes off that ball.
01:52:48.760 Those are both very interesting. And of course, the former, it sounds like you really agree with
01:52:52.620 David Sabatini, which is there's an enormous opportunity to decode metabolism in a way that
01:52:59.020 we should have done 20 years ago. I think we lack the technology. I mean, I think that,
01:53:04.780 so maybe I could take a minute to explain what we do. And that by using C13 or N15 labeled tracers,
01:53:15.080 you can put them into a mouse, infuse a mouse with these tracers. And by looking at where they go by
01:53:24.660 mass spectrometry- Over different time points.
01:53:27.060 Over different time points. You can see metabolism. And that was something that was never possible
01:53:33.360 before.
01:53:34.360 What is it, because we've been able to label these things forever, what, was it the mass spec didn't
01:53:38.740 have the resolution before? Or what is it that, why is it we couldn't do this 20 years ago, I guess?
01:53:42.620 I think they could do it with radioactive material, and they could do it somewhat with
01:53:47.820 the technology they had way back when. But I think that the technology now is far more sophisticated.
01:53:55.200 By using heavy isotopes, you don't need radioactivity. Now there are more mouse models of disease. You
01:54:01.680 could even do this in humans. So Ralph D. Berardinas at UT Southwestern is infusing these isotope
01:54:10.200 tracers into humans with cancer and actually measuring the metabolism of human tumors.
01:54:17.400 Wow. That's interesting. I did an experiment once on myself with doubly labeled water, which of course
01:54:22.000 is a very simple version of doing that sort of thing to examine energy expenditure. I had a field
01:54:27.500 day doing that.
01:54:28.500 Wow. Yeah. But I think that, in fact, next week I'm supposed to go to a Keystone Tumor Metabolism
01:54:35.600 meeting where all the experts in this area will get together and talk about this in detail. But this
01:54:42.060 is a growing field. It's very exciting, and understanding metabolism in mammals at a level
01:54:52.120 we've never seen before in various disease states is tremendous.
01:54:56.900 And then lastly, is it safe to say that should there be a strong enough public demand and a
01:55:02.720 philanthropic demand to go after that question we talked about earlier about sort of decoding
01:55:08.620 the dose effect of fasting? Is that the sort of thing you'd be interested in working on?
01:55:13.100 Yes. I was fascinated by what happened when mice didn't have autophagy and they died when they
01:55:20.360 were fasted. And I am very much interested in fasting as a way to preserve health. I'm also
01:55:28.940 interested in, as I mentioned earlier, the dietary part, because I think all of this has
01:55:34.260 to go together. It's not just how many calories you eat or how often you eat them. It's what
01:55:40.020 they are. So yes, that's something that's very important to me.
01:55:45.020 Well, Eileen, thank you very much. This was super, super interesting. And I know that folks are
01:55:49.660 going to, this will probably pose a few more questions than, than even we had time to go
01:55:54.220 into, but that's great. Your work is fantastic and I appreciate your generosity.
01:55:58.400 Oh, this has been a lot of fun. I'm glad I took the time to do this.
01:56:02.160 Thanks.
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