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What Harvard & USC Just Learned About Protein — Transcript

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  1. 0:00When I was a young boy, I thought I had
  2. 0:02diet all figured out. And that is
  3. 0:05because Popeye told us all that you can
  4. 0:08fight off bullies and save the girl if
  5. 0:10you just eat spinach.
  6. 0:11>> It's my Popeye!
  7. 0:13>> My mom had a master's in biochem from
  8. 0:16Cornell, and she told me Popeye was
  9. 0:19right and that every mother and
  10. 0:21grandmother in the world would confirm.
  11. 0:23I became even more convinced I had it
  12. 0:26dialed when Jack LaLanne rose to fame
  13. 0:29with a Hollywood would star by promoting
  14. 0:31exercise and the Mediterranean diet. I
  15. 0:34was his golf caddy at the Orinda Country
  16. 0:36Club on weekends, and we had receipts.
  17. 0:39Back then, America ranked among the
  18. 0:41healthiest nations, ahead of Japan,
  19. 0:44Germany, and the UK for life expectancy.
  20. 0:47And we had low obesity. But then a very
  21. 0:50odd thing happened on the highway to the
  22. 0:52danger zone. We got obsessed by
  23. 0:55extremely [music] low-fat diets, and
  24. 0:57then extremely high-fat diets, and
  25. 0:59extremely high-carb diets, and extremely
  26. 1:01low-carb diets. And now we're obsessed
  27. 1:04with adding refined protein to
  28. 1:06ultra-processed food and calling it
  29. 1:08healthy.
  30. 1:08>> Highway to the danger zone.
  31. 1:13>> As we sloshed from one diet to another,
  32. 1:16I noticed there was one group that
  33. 1:18wasn't sloshing. Actual nutrition
  34. 1:20scientists. The trouble with them is
  35. 1:23they talk to each other behind paywalls
  36. 1:25in technical terms only a nutrition
  37. 1:28scientist can decipher. And
  38. 1:30unfortunately, none of them have the
  39. 1:32ability to talk to the public like this
  40. 1:34guy.
  41. 1:35>> When we were all in the caves, half of
  42. 1:37everyone born was dead before the age of
  43. 1:3930. Fast forward to 1840, that number
  44. 1:42went up to
  45. 1:4335. Everyone back then was eating
  46. 1:46organic. And [clears throat] the water
  47. 1:47was clear, the air ran pure, the the
  48. 1:50game was free-range. Science matters
  49. 1:53here. You'd be dead by the 30 unless
  50. 1:55some doctor came in and said we can
  51. 1:57increase your life expectancy using
  52. 1:59science.
  53. 2:00>> I resemble those remarks. Five times
  54. 2:03science has brought me back from the
  55. 2:05dead starting at age 27 when my appendix
  56. 2:08burst. Same age as my father's. And who
  57. 2:11knows if I would have died by now from
  58. 2:13polio or from an abscessed tooth because
  59. 2:15a horse kicked me in my canine tooth and
  60. 2:17broke the root. Actual nutrition
  61. 2:20scientists have made big advances over
  62. 2:22the last few decades like showing how
  63. 2:25amazing nuts and seeds turned out to be
  64. 2:27for health. Not many people saw that
  65. 2:29coming. But getting the word out is not
  66. 2:32their strength and so that became the
  67. 2:34mission of Viva longevity to find the
  68. 2:37best scientists and to help them tell
  69. 2:39their stories. And I had to come to USC
  70. 2:41to tell this one which brings me to this
  71. 2:44new paper on protein which is behind a
  72. 2:46paywall and written in deep scientific
  73. 2:49language. It caught my attention because
  74. 2:51the corresponding authors, Frank Hu and
  75. 2:54Valter Longo, are among the most
  76. 2:56respected nutrition scientists in the
  77. 2:59world. In my interview with Valter last
  78. 3:01year, he told me
  79. 3:03>> We're going to make the case soon enough
  80. 3:05that proteins doesn't mean anything,
  81. 3:07right? Doesn't mean anything.
  82. 3:09It cannot mean anything when you can
  83. 3:11have a five 10-fold difference.
  84. 3:13>> He told me this paper was coming and it
  85. 3:15would help explain it. So I reached out
  86. 3:17to the lead author, Mara Fonti. She
  87. 3:20isn't a celebrity doctor selling a
  88. 3:22supplement line. She's a rigorous
  89. 3:24scientist working in the trenches of
  90. 3:26Valter's lab. I have a pretty strong
  91. 3:29scientific background and I've gotten to
  92. 3:31interview some of the leading nutrition
  93. 3:33scientists in the world. But I had to
  94. 3:36hammer her with questions for days to
  95. 3:39translate this deep science into plain
  96. 3:41English. Here is what we uncovered.
  97. 3:44>> Am I now your most irritating person in
  98. 3:46the world?
  99. 3:47>> No.
  100. 3:48>> After slamming you all week long with
  101. 3:50these long emails?
  102. 3:51>> No, no, no. You wanted to go into, you
  103. 3:54know, more details, so.
  104. 3:55>> There was a lot of details to go into.
  105. 3:56That paper is dense. You have so much
  106. 3:59data on the mice and human data. I mean,
  107. 4:01usually papers have one or the other.
  108. 4:02You had both.
  109. 4:03>> It lasts about 7 years.
  110. 4:06>> 7 years?
  111. 4:07>> Yeah, 7 years work.
  112. 4:08>> So, you've been working on this
  113. 4:09particular paper for 7 years? Wow.
  114. 4:12Amazing.
  115. 4:13>> I mean, 6 year plus, you know,
  116. 4:15writing and having that published.
  117. 4:18>> So, Walter told me this paper was
  118. 4:19coming, but he wouldn't tell me what it
  119. 4:22was about other than it would explain
  120. 4:23amino acids quite a bit better. He would
  121. 4:25say, "Protein doesn't mean anything. The
  122. 4:27word protein, it's like fat doesn't mean
  123. 4:28anything. Is it lard or is it olive
  124. 4:30oil?"
  125. 4:31>> So, it's not really
  126. 4:33um
  127. 4:33the amount of amino acid. It's more the
  128. 4:36amino acid profile.
  129. 4:37>> Yeah.
  130. 4:37>> So, plant-based and amino animal-based
  131. 4:40protein basically had different amino
  132. 4:43acid profile. That's why it's really
  133. 4:45matter the source.
  134. 4:46>> Strikingly different. Shockingly
  135. 4:48different. I mean, I'm astounded,
  136. 4:50actually. You study both mice and
  137. 4:52humans. Let's start with the humans
  138. 4:54first. This may look a little bit like
  139. 4:56an eye chart to some people out there in
  140. 4:58podcast land, but there's a shocking
  141. 5:01line in here. Can you explain what this
  142. 5:03is?
  143. 5:04>> Our collaborators was Anti Malik and
  144. 5:07Frank Hu published a paper about protein
  145. 5:09intake and risk factor for type 2
  146. 5:11diabetes in this very big population,
  147. 5:14which is the Harvard cohort. They found
  148. 5:17that there was an increase in risk of
  149. 5:19type 2 diabetes only in the population
  150. 5:21with an higher increase of animal
  151. 5:23protein.
  152. 5:24But, they didn't see the same effect
  153. 5:26when the participant were consuming an
  154. 5:28higher intake of plant-based.
  155. 5:30>> So, I think this is one of the most
  156. 5:33important nutritional findings, and it
  157. 5:35drives the dietary guidelines for every
  158. 5:37country in the world except for
  159. 5:39America's new one. My sense is very few
  160. 5:41Americans understand this, and I think I
  161. 5:44know why. What this table shows is they
  162. 5:47divided the participants into five
  163. 5:49levels of protein consumption. The
  164. 5:51lowest quintile one got around 14% of
  165. 5:54their calories from protein. The highest
  166. 5:57quintile five got 21%.
  167. 6:00The participants were American where we
  168. 6:02have a culture of high animal protein
  169. 6:04consumption. So the consumption of plant
  170. 6:06protein as a percentage it was down
  171. 6:08around 30% or less. Here's the headline
  172. 6:11finding. Diabetes rates were double in
  173. 6:14the higher quintile even though the
  174. 6:16researchers noted many of the
  175. 6:18participants were seeking higher protein
  176. 6:20because they believed in our current
  177. 6:22protein obsession that it's healthier.
  178. 6:25This finding is not new. There have been
  179. 6:27decades of landmark studies showing
  180. 6:29similar results also for cancer and
  181. 6:32heart disease. So why do so few
  182. 6:34Americans know about this?
  183. 6:36I think the first reason is the big
  184. 6:38influencers who advocate high protein
  185. 6:41rarely mention studies like this. The
  186. 6:43beef industry is very proud of the
  187. 6:45something like $8 million annual budget
  188. 6:47they have to pay out influencers. They
  189. 6:49don't disclose who gets the money but I
  190. 6:53think a second reason is the beef
  191. 6:54industry are genius marketers so they
  192. 6:56know to shift the conversation from
  193. 6:58outcomes, how healthy are you, to
  194. 7:00mechanisms, like how much protein do
  195. 7:03plants really have? They have less so
  196. 7:05they must be less healthy, right? But
  197. 7:07that isn't what outcome data
  198. 7:09consistently shows.
  199. 7:11>> At the same time the population with the
  200. 7:13higher protein intake in general,
  201. 7:15especially the ones in animal protein
  202. 7:18intake, they also had an higher
  203. 7:20incidence of BMI but the higher intake
  204. 7:23of plant-based protein, they didn't show
  205. 7:25the same trend in terms of BMI. So we
  206. 7:28thought that this effect on overweight
  207. 7:30and obesity could be driven by specific
  208. 7:33amino acid, what we we have been seen in
  209. 7:35the mice and so we we thought that it
  210. 7:37could could have been applied to human
  211. 7:39too.
  212. 7:39>> Why Why you focus on methionine?
  213. 7:41>> We focus on methionine because it's an
  214. 7:44essential amino acid that has a direct
  215. 7:48molecular connection with specific
  216. 7:50nutrients and same pathway, in
  217. 7:52particular mTOR. So, this is one reason
  218. 7:55and the second one is because
  219. 7:57decades of literature show that
  220. 8:00methionine restriction improve like
  221. 8:02metabolic parameters, but also it's very
  222. 8:06powerful in extending longevity and
  223. 8:08lifespan. It's very powerful, but at the
  224. 8:11same time severe methionine restriction
  225. 8:14could lead to muscle wasting and
  226. 8:17frailty. So, when we started the diet,
  227. 8:20the longevity diet was modeled based on
  228. 8:23dietary patterns of population with
  229. 8:26exceptional longevity.
  230. 8:29Well, the longevity diet. Either from,
  231. 8:31you know, Mediterranean areas, in
  232. 8:33particular South of Italy, Sardinia, but
  233. 8:36also Greece or of Spain. And Okinawa, in
  234. 8:40Japan. So, it was modeled based on their
  235. 8:43diet, but at the same time it's shown to
  236. 8:46be relatively low in protein, but very
  237. 8:48low in methionine. And a level that was
  238. 8:51matching kind of the methionine
  239. 8:53restricted pattern. So, because we
  240. 8:56wanted healthy longevity, but also
  241. 8:58strength, we modulate this a single
  242. 9:01amino acid in the diet in order to have
  243. 9:03the diet been able to still produce the
  244. 9:06same metabolic benefits, but also
  245. 9:08preserve the muscle.
  246. 9:10>> When you say you moderate the
  247. 9:11methionine,
  248. 9:13did that mean you gave a
  249. 9:15methionine powder, some kind of protein
  250. 9:17powder?
  251. 9:18>> We had to formulate the the diet for the
  252. 9:20mice.
  253. 9:21This a number of ingredients that we had
  254. 9:23to carefully select. There are company
  255. 9:25where you can customize your diet for
  256. 9:28the mice. So, we
  257. 9:30basically sent them the ingredients we
  258. 9:33wanted them to to follow. And so, they
  259. 9:35were able to adjust the level of
  260. 9:37methionine in the way we want it. So
  261. 9:39>> on food?
  262. 9:41>> Not we they had to supplement.
  263. 9:43>> Oh, they had to supplement.
  264. 9:44>> Yeah, they had to supplement with a
  265. 9:45powder.
  266. 9:46>> Back to this chart, the thing that
  267. 9:48really stood out for me
  268. 9:50the diabetes rate doubled.
  269. 9:52Based on the Harvard studies
  270. 9:54>> Exactly.
  271. 9:55>> and health professionals. Doubled mainly
  272. 9:58by changing
  273. 10:00by eating more animal protein.
  274. 10:01>> It's also interesting that the
  275. 10:04participant in the quintile five are
  276. 10:06usually the ones that are they pay more
  277. 10:09attention to lifestyle.
  278. 10:10>> Yeah, that was a surprise to me. That
  279. 10:13you thought they were had more healthy
  280. 10:15user bias in the higher percentile
  281. 10:19because they thought protein was
  282. 10:20healthy.
  283. 10:22And so they were eating all this extra
  284. 10:25animal protein to get healthy and by
  285. 10:27doing so they were getting diabetes. You
  286. 10:29can get some insight into the healthy
  287. 10:31user bias by looking at the beverage
  288. 10:34consumption on this table. The higher
  289. 10:36protein consumers were drinking 74%
  290. 10:39fewer calories from sugar-sweetened
  291. 10:41beverages and 35% fewer from alcohol.
  292. 10:47>> And if you look at the total energy
  293. 10:49intake, there is a reduction of about
  294. 10:5110%.
  295. 10:52>> Of what?
  296. 10:52>> Total energy intake. So basically
  297. 10:55>> Yeah.
  298. 10:55>> They were eating fewer calories.
  299. 10:57>> But they're getting an higher prevalence
  300. 10:59of BMI and overweight.
  301. 11:02>> Yeah, but I thought calories in,
  302. 11:04calories out. And you're saying well, it
  303. 11:07doesn't seem to be the case if you're
  304. 11:08getting too much methionine. Is that
  305. 11:10your
  306. 11:10>> Yeah, that's
  307. 11:11>> hypothesis?
  308. 11:13>> Yeah.
  309. 11:14That's why they
  310. 11:16re-analyzed the data for us and they
  311. 11:17they basically measured all the amino
  312. 11:19acid profile.
  313. 11:20>> I see.
  314. 11:21>> And they found that specifically in the
  315. 11:22higher animal group, there was increase
  316. 11:25of 81.5%
  317. 11:27of methionine.
  318. 11:28>> There is another popular podcast that
  319. 11:31interviews lead authors of landmark
  320. 11:33papers, The Proof with Simon Hill. Simon
  321. 11:37has a master's in nutrition science, and
  322. 11:40I think he's incredibly sharp. He
  323. 11:42interviewed Andrea Glenn, who led a
  324. 11:44fascinating study of the effect of plant
  325. 11:47to animal protein ratio and its effect
  326. 11:50on heart disease. This chart shows their
  327. 11:53key finding.
  328. 11:55The two bars on the left represent
  329. 11:57people who got about 30% of their
  330. 11:59protein from plant sources. The two bars
  331. 12:02on the right represent people who got
  332. 12:03about 60% of protein calories from
  333. 12:06plants.
  334. 12:07You can see the reduction in risk was
  335. 12:09much greater when the plant to animal
  336. 12:11protein ratio was higher. The other
  337. 12:14thing that made a difference was that in
  338. 12:17diets with higher overall protein
  339. 12:19consumption, the risk reduction from
  340. 12:22substituting more plant protein for
  341. 12:24animal protein was much higher.
  342. 12:27Both those results were the same as with
  343. 12:30Mara's paper. I traded long emails with
  344. 12:33Andrea and discussed them with Mara.
  345. 12:36Their takeaway is diets high in animal
  346. 12:38protein are clearly risky, but diets
  347. 12:41high in protein that are based on
  348. 12:43high-quality plant protein may not be.
  349. 12:46>> We didn't look at that specifically, and
  350. 12:48that's something that we're going to do
  351. 12:50for another paper that's going to come
  352. 12:51out. So, I think what's happening with
  353. 12:53this protein density finding is that
  354. 12:54they're eating more legumes and nuts.
  355. 12:57And then we know that those are really
  356. 12:58good for cardiovascular disease
  357. 13:00preventions.
  358. 13:01>> In the case of Andrea's study, which was
  359. 13:02based on heart disease, the riskiest
  360. 13:05source of protein was red meat, and nuts
  361. 13:08were the best at reducing that risk. For
  362. 13:11example, replacing just 3% of calories
  363. 13:14from red meat with nuts cut heart
  364. 13:17disease risk by 20%. That's incredible.
  365. 13:21Imagine swapping 25 or 50% of your
  366. 13:25calories from red meat for nuts, not
  367. 13:28just 3%. The numbers were also big for
  368. 13:31swapping poultry and dairy for nuts,
  369. 13:33just not that big. Okay, I know some of
  370. 13:36you are thinking, "Hey, I'm too young to
  371. 13:38get heart disease and diabetes, but I
  372. 13:40need abs and I'm working on my bench
  373. 13:42press, so I need meat, not nuts, right?"
  374. 13:45And that brings us to tomorrow's mouse
  375. 13:48studies. I'm usually suspicious of
  376. 13:50animal studies, but I have to admit the
  377. 13:52monkey and pig feeding studies I covered
  378. 13:55previous were absolutely foundational in
  379. 13:58understanding how we get to clogged
  380. 14:00arteries and how to get them to open
  381. 14:02back up. Dean Ornish wrote that those
  382. 14:05papers inspired him to do his famous
  383. 14:07studies in reversing clogged arteries in
  384. 14:09humans.
  385. 14:10>> What were you getting from the mouse
  386. 14:12studies that you couldn't get from human
  387. 14:14studies?
  388. 14:14>> So, animal studies let you do what you
  389. 14:17cannot do with human. For instance, for
  390. 14:19example, follow the lifespan.
  391. 14:21>> Cuz their lifespan is short, so
  392. 14:23everything's accelerated.
  393. 14:25>> Yes. So, still long in for mice, which
  394. 14:28is like around 30 months. It's depend on
  395. 14:30the strain. Also, tissue biopsies, for
  396. 14:33example.
  397. 14:34>> The other thing about humans,
  398. 14:36these Harvard studies are free living.
  399. 14:38And it'd it'd be nice Sometimes I say,
  400. 14:41"Oh, I wish these nurses would eat more
  401. 14:43beans."
  402. 14:44Nurses and health professionals, but
  403. 14:46they they don't eat a lot of legumes.
  404. 14:48They're like Americans or something.
  405. 14:51And they eat a lot of meat and not that
  406. 14:52many legumes. But with the mice you can
  407. 14:54control exactly what it is they're
  408. 14:56eating. And on a randomized control
  409. 14:58trial with humans, there's still the
  410. 15:00problem of adherence. Adherence could be
  411. 15:03good in the beginning and then fade
  412. 15:05later on. Here you show four different
  413. 15:08diets for the mice, but you actually had
  414. 15:11a fifth, right? You had the FMD diet.
  415. 15:14So, can you explain what's in each one
  416. 15:16of these diets?
  417. 15:17>> Before we learn which were the the
  418. 15:20benefits of the longevity diet, we had
  419. 15:22to compare to popular diet that in
  420. 15:24reality people usually follow. So,
  421. 15:27they're not just random diet.
  422. 15:29The control diet, it's a just
  423. 15:31commercially available diet. They are
  424. 15:33made to to make that the mice happy and
  425. 15:36healthy.
  426. 15:37>> You characterize it as pesco-vegetarian.
  427. 15:39>> It's a pesco-vegetarian.
  428. 15:41>> So, it's like Valter's longevity diet.
  429. 15:43>> Exactly, but
  430. 15:44>> So, not exactly what Americans are
  431. 15:46eating.
  432. 15:46>> No.
  433. 15:47>> It's pretty healthy.
  434. 15:48>> It's pretty healthy, but it's higher in
  435. 15:50protein intake. It's double the
  436. 15:52longevity diet.
  437. 15:53>> Oh, it is. Why?
  438. 15:54>> Usually diet for mice are in a range of
  439. 15:5720 25% of protein. The longevity diet is
  440. 16:0112. So, it's half.
  441. 16:02>> Yeah.
  442. 16:03>> So, but it's made with pretty healthy
  443. 16:05ingredients. So, the only difference it
  444. 16:08kind of the protein content.
  445. 16:10>> I see.
  446. 16:11>> Because it has protein from fish meal,
  447. 16:13soy, and whey protein. But, as you said,
  448. 16:16it's a very
  449. 16:17healthy diet.
  450. 16:18>> Although, some people may quibble with
  451. 16:20the isolated proteins. Some people may
  452. 16:22say, "Well, whey and soy protein
  453. 16:25is a refined food." But, anyway, that's
  454. 16:28what the diet was for these mice.
  455. 16:29>> Yes.
  456. 16:30>> That was the control diet.
  457. 16:31>> That you usually need to have when you
  458. 16:33run an experiment on mice because you
  459. 16:35want to you want to make sure that you
  460. 16:37are comparing with something that it's
  461. 16:39beneficial for the mice.
  462. 16:41>> How did they figure out that it's
  463. 16:42beneficial for mice? They've just known
  464. 16:43this for years?
  465. 16:44>> Yeah. Yeah.
  466. 16:45>> Figured it out over years.
  467. 16:46>> There are different control diet. It's
  468. 16:48not the only one. That this is the one
  469. 16:50that for us was
  470. 16:52a pretty good control because it's a
  471. 16:54like a pescetarian or
  472. 16:56not pesco-vegetarian like the longevity
  473. 16:58diet.
  474. 16:59>> I see. And then came the keto diet.
  475. 17:01>> It's a very popular diet.
  476. 17:02>> In your human studies, the graphs that
  477. 17:04you showed, it it wasn't didn't do very
  478. 17:06well. Didn't do well in weight control
  479. 17:08or anything.
  480. 17:09>> It yes, even though we tried to make it
  481. 17:12very healthy. Salmon, chicken, nuts,
  482. 17:16eggs, fat from avocado, coconut oil, and
  483. 17:19olive oil.
  484. 17:20>> But there is an apple in there.
  485. 17:22>> And some greens. 8% is carbohydrate.
  486. 17:25>> I see.
  487. 17:25>> It's very high-fat diet.
  488. 17:27>> Do mice go into ketosis? Do they have
  489. 17:29ketones and things?
  490. 17:30>> yeah, they do.
  491. 17:31>> And could you measure that or did you
  492. 17:32measure that?
  493. 17:33>> We we measure and they are very
  494. 17:35>> was enough for them to go into ketosis?
  495. 17:37>> Um yes, basically they they had the
  496. 17:39higher level of keto ketone bodies
  497. 17:41compared to the other diet.
  498. 17:43>> And then you put them on the everyday
  499. 17:45American diet, the Western diet.
  500. 17:48Hamburgers and cheese and steak. They
  501. 17:51must have been pretty happy mice in the
  502. 17:53beginning.
  503. 17:54>> They were very happy. We made the diet
  504. 17:56with food from fast food.
  505. 17:58>> Mhm.
  506. 17:59>> Like burgers, bacon, and buns. But also
  507. 18:03cheese, eggs, beef.
  508. 18:05>> Yeah.
  509. 18:06>> French fries.
  510. 18:07>> White bread.
  511. 18:08>> And white white bread.
  512. 18:09>> French fries and some kind of What's
  513. 18:11this drink?
  514. 18:12>> It's a ketchup.
  515. 18:13>> Ketchup?
  516. 18:14>> Yes.
  517. 18:15>> Oh, I see, for the French fries.
  518. 18:17Oh, well, that would make my wife happy.
  519. 18:19I don't know about mice.
  520. 18:20>> They they were happy actually at the
  521. 18:22beginning.
  522. 18:23>> They were happy until they got
  523. 18:24unhealthy.
  524. 18:26Just like Americans. Except you're more
  525. 18:28delicate in your language than I am.
  526. 18:30[laughter]
  527. 18:31Okay, and then came the longevity diet
  528. 18:34and it looked like
  529. 18:36those are green cubes there that the
  530. 18:37mice are getting.
  531. 18:38>> Exactly.
  532. 18:39>> Beans and vegetables, olive oil, some
  533. 18:42potatoes, carrots?
  534. 18:44>> Yes. Carbs from potatoes and legumes,
  535. 18:47fish meal, a huge portion was from
  536. 18:50healthy fat, olive oil, and fish oil.
  537. 18:52>> Just like healthy populations all around
  538. 18:54the world. Um
  539. 18:56Some people are going to be outraged
  540. 18:57that you're doing this on animals, but I
  541. 19:00was at Petco yesterday.
  542. 19:02I saw these white mice. What kind of
  543. 19:05mice did you use? AT3 that doesn't mean
  544. 19:08anything.
  545. 19:08>> Hatrick mice.
  546. 19:09>> Yeah.
  547. 19:09>> Which stand for uh
  548. 19:12heterozygous mice.
  549. 19:13>> I see. What do they look like?
  550. 19:14>> Basically, it's a crossing that I from
  551. 19:17uh crossing four different genetic
  552. 19:19background. So, you get a population of
  553. 19:23uh genetic diverse mice, the way humans
  554. 19:26are diverse. They are a gold standard
  555. 19:28for aging studies. I mean, usually they
  556. 19:31have only a single genetic background,
  557. 19:33and they are like identical to each
  558. 19:36other. So, it's important because they
  559. 19:38can be more sensitive to develop certain
  560. 19:41disease.
  561. 19:42Some of them, like metabolic disease or
  562. 19:44certain type of cancer. In the case of
  563. 19:47the het-3 mice, they can display like
  564. 19:49disease from um any kind of disease like
  565. 19:52the human can.
  566. 19:53>> What do they look like? Are they the
  567. 19:54kind of mice that you'd buy at a pet
  568. 19:56store, or do they look different?
  569. 19:57>> I'm so excited. I've wanted a mouse
  570. 19:59since I was 3 years old. I'm 17 turning
  571. 20:0118 this year,
  572. 20:03and I do not have a mouse yet. Like, I
  573. 20:05already have a hamster. I want a mouse.
  574. 20:08>> So cute.
  575. 20:10>> Pretty cute girl.
  576. 20:11>> Um actually, the hat can be different
  577. 20:14colors.
  578. 20:15>> Do you get attached to them?
  579. 20:16>> I I get to know them. Uh but in the in
  580. 20:18the case of this study, they were too
  581. 20:20many.
  582. 20:21>> Oh, yeah.
  583. 20:21>> Hundred and hundreds mice.
  584. 20:23>> So, you didn't name them and
  585. 20:24>> We we we couldn't, but uh we we we are
  586. 20:27very careful like handling them.
  587. 20:29>> As far as caged animals, are they
  588. 20:31relatively happy or you're not torturing
  589. 20:33them in some way except giving them the
  590. 20:35American diet?
  591. 20:36>> No,
  592. 20:37my mice actually are happy because I
  593. 20:39just give them the the diet. So, it it's
  594. 20:42pretty nice experiment for them. They
  595. 20:45like to stay with others. They are
  596. 20:47social uh animals.
  597. 20:49>> Well, I can understand people, you know,
  598. 20:50being worried about, you know, animals
  599. 20:52in a cage, but
  600. 20:53when you think about turkeys and
  601. 20:55chickens and pigs and everything that we
  602. 20:57raise for food, these have to be a
  603. 20:58thousand times happier than any of
  604. 21:00those, and we just shrug with those and
  605. 21:02eat them.
  606. 21:03So, I don't I don't know. But, anyway,
  607. 21:05you showed four diets here, and then
  608. 21:07there was a fifth one that you showed in
  609. 21:08the data, which is the FMD. Can you
  610. 21:10explain FMD?
  611. 21:12>> Yes, the fasting mimicking diet is not
  612. 21:14there because it's a
  613. 21:15all these diet were at the administrated
  614. 21:18chronically. They were everyday at
  615. 21:20libitum diet. Fasting mimicking diet is
  616. 21:23it's a different story because it's
  617. 21:24>> Once a month.
  618. 21:25>> In this case, twice a month.
  619. 21:27>> Twice a month cuz they're mice and
  620. 21:28things are happening faster or
  621. 21:30>> We can keep them in twice cycle a month
  622. 21:32if they're capable to regain the weight
  623. 21:35during the refeeding. If If we see
  624. 21:37especially with aging, they start losing
  625. 21:39weight. So, we need to be careful with
  626. 21:43fasting and fasting mimicking diet.
  627. 21:45>> Fasting mimicking means you just reduce
  628. 21:47the calories of their normal diet.
  629. 21:48>> It's a restricted calorie restricted
  630. 21:50plan for 4-5 days.
  631. 21:56>> I forgot to put my phone on uh
  632. 21:59People accuse me of forgetting to
  633. 22:01put my phone on do not disturb.
  634. 22:04That is from my 15-year-old
  635. 22:06granddaughter, Penny, and
  636. 22:09we chose that tone together. I get a big
  637. 22:12kick out of my tones. Uh she and I are
  638. 22:14going to Paris in a couple of days for 2
  639. 22:16weeks uh with one of her cousins who's
  640. 22:18also 15 years old.
  641. 22:20>> No no problem.
  642. 22:20>> What were we talking about? I have
  643. 22:21Alzheimer's. Oh, FMD, yeah.
  644. 22:23>> It's a calorie restricted plan that
  645. 22:26lasts 4-5 days. It's a fasting mimicking
  646. 22:29because you kind of trigger your body to
  647. 22:31think that it's fasting but it's not.
  648. 22:33It's not really fasting. So, it's
  649. 22:34capable to reproduce same metabolic
  650. 22:37benefits of a water fasting program.
  651. 22:39>> I have a love-hate relationship with it
  652. 22:42because I hate doing it. Cuz I'm a big
  653. 22:44guy, 200 lb, and I'm active. I walk my
  654. 22:48dog 3 miles in the morning and
  655. 22:506 miles at night and then I do exercise
  656. 22:52and everything and it's like
  657. 22:54really, you're giving me 800 calories a
  658. 22:56day? I'm going to die. And And I think
  659. 22:58Walter Walter wants me to be less active
  660. 23:01during the FMDs, but I like to go out
  661. 23:03and walk my dog and listen to audio and
  662. 23:06everything. So, I just suffer for 5
  663. 23:08days. I cheat a little bit and eat some
  664. 23:10celery.
  665. 23:12>> It's not easy.
  666. 23:13>> It's not easy for me.
  667. 23:14>> But it's feasible.
  668. 23:15>> For other people, it's easier than it is
  669. 23:17for me, but I suffer.
  670. 23:19What do the mice do? Do they get less
  671. 23:20active or
  672. 23:21>> Not really. They tend to be very active,
  673. 23:24especially the male. We notice the male
  674. 23:26are more active than female.
  675. 23:29>> So, the data that Walter has been
  676. 23:30producing through all this research on
  677. 23:32FMDs in humans is astonishing.
  678. 23:34Intuitively, I would have thought you're
  679. 23:37going to kill these patients who are on
  680. 23:38chemotherapy and are losing muscle mass
  681. 23:40and everything else by putting them on
  682. 23:41an FMD. What Walter, what are you
  683. 23:42thinking? This is crazy.
  684. 23:44But it didn't turn out that way. The
  685. 23:45data is just so non-intuitive for FMDs,
  686. 23:48and I guess it is for mice, too.
  687. 23:50>> In terms of lifespan, for example.
  688. 23:52>> I'm holding up a lifespan chart here for
  689. 23:54the mice.
  690. 23:55>> Basically, the graph show the
  691. 23:56probability of survival.
  692. 23:58>> The keto diet ones were dying at 1,000
  693. 24:00days.
  694. 24:01>> The the western diet.
  695. 24:02>> Oh, I have the wrong Oh, the colors. I
  696. 24:04see. Western diet. You're right.
  697. 24:06>> 200 days earlier than the control diet
  698. 24:09and longevity diet.
  699. 24:10>> And 200 days in mouse in human years is
  700. 24:14what?
  701. 24:14>> 20 years.
  702. 24:15>> Wow.
  703. 24:17That's a difference. That's pretty
  704. 24:18shocking, actually.
  705. 24:19>> It it was, especially because at the
  706. 24:21beginning, they seems like to be happy,
  707. 24:25but they they body weight start to
  708. 24:26decline
  709. 24:28very rapidly. So, that means that they
  710. 24:30were getting sick
  711. 24:33they died.
  712. 24:33>> Just like Americans.
  713. 24:35>> The longevity diet and control diet are
  714. 24:37the ones that live longer. They both
  715. 24:40have the same maximum lifespan.
  716. 24:42So, they perform pretty well, especially
  717. 24:44considering that we start the the
  718. 24:46experiment with the mice were 60 65 year
  719. 24:49old in human life
  720. 24:52with a diet that was half protein than
  721. 24:56the control diet.
  722. 24:58Without getting fair frail or
  723. 25:02without losing any muscle mass.
  724. 25:05>> The longevity diet.
  725. 25:06>> Yeah.
  726. 25:07>> Supplemented with methionine.
  727. 25:10Meant that they didn't get frail.
  728. 25:12>> No.
  729. 25:13>> And they lived a long time.
  730. 25:14>> Yes.
  731. 25:16>> The next chart is frailty.
  732. 25:17>> So here the mice are very old. And you
  733. 25:21see that in this specific graph the
  734. 25:23frailty index show a significant
  735. 25:26increase of frailty especially in the
  736. 25:28western diet. When we measured that the
  737. 25:31frailty index at 23 months both western
  738. 25:33and ketogenic diet show to be more frail
  739. 25:36than the control diet.
  740. 25:38>> But the one that stands out to me is
  741. 25:39grip strength. What's going on with grip
  742. 25:41strength?
  743. 25:42>> So basically when we assess the frail
  744. 25:45the mice is not just a single test.
  745. 25:47There are multiple tests like the
  746. 25:49frailty index or the grip strength the
  747. 25:52rotor rod that give us information about
  748. 25:55strength and function or motor
  749. 25:56coordination. In this case the grip
  750. 25:58strength
  751. 25:59>> said rotor rod?
  752. 26:01>> Rotor rod.
  753. 26:02>> What is that?
  754. 26:03>> It's a test that give you information
  755. 26:05about the motor coordination of the mice
  756. 26:07and
  757. 26:08is not in that panel but still the
  758. 26:10longevity diet is the one that performed
  759. 26:13the best and also in the grip strength
  760. 26:16you see is increased significantly
  761. 26:18compared to the control diet. So it
  762. 26:21means that they maintained their
  763. 26:23strength and their function even though
  764. 26:25they are 23 months old with a diet that
  765. 26:28eats lower in
  766. 26:30a protein intake.
  767. 26:31>> What's your hypothesis on what would
  768. 26:33happen if you started the mice earlier?
  769. 26:35>> Um we
  770. 26:37we think that if we had started the
  771. 26:40intervention earlier probably also we we
  772. 26:42had seen
  773. 26:43significant result in terms of lifespan.
  774. 26:46We think that because any nutritional
  775. 26:48intervention that showed to be you know
  776. 26:51effective in increasing the lifespan are
  777. 26:53very powerful in increase the lifespan
  778. 26:55if they start earlier.
  779. 26:57>> The sooner the better.
  780. 26:58>> The sooner the better. They still work
  781. 27:01even later, but they they kind of reduce
  782. 27:03this this this power like the later you
  783. 27:06start.
  784. 27:06>> So, it reminds me a little bit of the
  785. 27:07famous British smoking study that lasted
  786. 27:10for 50 years. I have a real interest in
  787. 27:13epidemiology. One of the best
  788. 27:14epidemiologists in the world is Richard
  789. 27:16Peto, I think, at Oxford. And he was the
  790. 27:19epidemiologist on the British doctor
  791. 27:20study.
  792. 27:21And he'd very dramatically said, "Well,
  793. 27:23what we learned is smoking kills, but
  794. 27:25quitting works."
  795. 27:27And quitting works so well that if you
  796. 27:29do it early, it's as if you never
  797. 27:31smoked.
  798. 27:32>> If [clears throat] you stop before the
  799. 27:33age of 40, preferably well before 40,
  800. 27:36then you'd avoid more than 90% of the
  801. 27:37risk. And the people who stopped at
  802. 27:39about 30, they'd avoid about 97% of the
  803. 27:41risk. They're pretty well like
  804. 27:43non-smokers. So, stopping works. Even
  805. 27:46later on it works, but the earlier you
  806. 27:47stop the better.
  807. 27:48>> So, that brings up weight.
  808. 27:50>> With the longevity diet, very
  809. 27:51interesting thing is that they were able
  810. 27:53to keep stable the the the body weight
  811. 27:55until the end. If you see the other
  812. 27:57groups, these are are male and usually
  813. 28:00at 20 months the body weight start to
  814. 28:02decline. As you see, clearly the control
  815. 28:04diet, the standard show you how it's
  816. 28:05supposed to go. So, FMD goes like the
  817. 28:08standard diet. It means that they were
  818. 28:10able to regain weight after every cycle,
  819. 28:13which was pretty good. But the other two
  820. 28:14diet, like the keto and the Western
  821. 28:17diet, as you see, in 3 months they gain
  822. 28:20a lot of weight, but after 3 months on
  823. 28:22diet the body weight start to decline.
  824. 28:24In particular, the ketogenic diet
  825. 28:26actually here. It means that they were
  826. 28:28starting to get sick and and dying.
  827. 28:32>> Now, let's talk about fat mass and lean
  828. 28:35mass because that was pretty incredible.
  829. 28:39I mean, that was kind of a shock
  830. 28:40finding, I think. Can you walk us
  831. 28:41through what's going on?
  832. 28:43>> We measured the fat mass and lean mass
  833. 28:45after 3 months of diet, but also after
  834. 28:476, but here it's after 3 months. And you
  835. 28:50see how fat mass is significantly
  836. 28:54increased in Western and ketogenic diet,
  837. 28:56but it's reduced in longevity diet and
  838. 28:58FMD. The concern is what if they also
  839. 29:02are losing muscle, but actually the test
  840. 29:04that we run showed that all of them
  841. 29:07preserve or they lost the same amount of
  842. 29:10mass.
  843. 29:11So, they were capable to maintain the
  844. 29:14the the lean mass.
  845. 29:16>> This is the most information-packed
  846. 29:18paper I have ever studied. I could have
  847. 29:21spent all day in that studio asking more
  848. 29:24about all the things. I mean, oh my
  849. 29:27gosh, look at all this. My mind is
  850. 29:30totally blown. No wonder it took her
  851. 29:32team 7 years to collect and analyze all
  852. 29:36this data. So, what does this actually
  853. 29:39mean to you and I in our daily lives? I
  854. 29:42think it sheds light on the biggest
  855. 29:43black box in all of nutrition, protein.
  856. 29:47Everybody has a different impression of
  857. 29:48what that word means, and usually the
  858. 29:51answer is more is better. It dominates
  859. 29:54the design of our meals. If more is
  860. 29:57always the answer, how in the world can
  861. 29:59we explain this landmark heat map from
  862. 30:02five universities in Canada, Denmark,
  863. 30:04and the US? It shows foods that slow
  864. 30:07aging in green and ones that accelerate
  865. 30:10it in red. Look at poultry in red below
  866. 30:13sugar-sweetened beverages for aging.
  867. 30:15Moura has very compelling data both in
  868. 30:18humans and in mice to show that just
  869. 30:21like with carbs and fat, it's not the
  870. 30:23amount that's the central factor, it's
  871. 30:25the type. What makes Moura's paper
  872. 30:28exceptional is she shows the power of
  873. 30:31staying in the Goldilocks zone for
  874. 30:32methionine. Too much methionine,
  875. 30:35premature aging. Too little methionine,
  876. 30:37frailty. The Goldilocks zone for
  877. 30:40methionine, the perfect body
  878. 30:42composition. You can have abs. I made
  879. 30:45this chart of the amount of methionine
  880. 30:47per 100 calories of common foods. Look
  881. 30:50at chicken up there on top. That
  882. 30:52wouldn't be so bad if we followed the
  883. 30:54dietary guidelines for healthy countries
  884. 30:56and moderated, but instead we chicken
  885. 30:58maxed and quadrupled our consumption
  886. 31:01since 1961.
  887. 31:03Okay, you say, but look at salmon up
  888. 31:05there with beef. If Mar is right, why do
  889. 31:08some pescetarians live so long? One
  890. 31:11answer is it's a rare person who
  891. 31:13overconsumes fish, and the great foodie
  892. 31:15Jim Gaffigan knows why.
  893. 31:17>> Cuz fish is disgusting.
  894. 31:19>> [laughter]
  895. 31:20>> Who's the first person to walk into a
  896. 31:22harbor and go, "Hey, whatever reeks in
  897. 31:23here, let's eat that."
  898. 31:27>> So, what's the takeaway? If someone's
  899. 31:29following Valter Longo's longevity diet,
  900. 31:32and it's primarily plants, 2 days a week
  901. 31:35fish, are they going to be low in
  902. 31:36methionine? Do they have to supplement?
  903. 31:38>> No.
  904. 31:39>> Why no?
  905. 31:40>> You can get all the nutrients from what
  906. 31:41you eat. Of course, there are special
  907. 31:44categories like elderly or strict vegans
  908. 31:47that might need a supplementation, but
  909. 31:50you can get everything from what you
  910. 31:52eat.
  911. 31:53>> And you need some anti-methionine
  912. 31:55supplementation off Amazon.
  913. 31:58Reduces your methionine, you live longer
  914. 32:00if you eat all these animal foods.
  915. 32:02>> Exactly.
  916. 32:02>> You should invent that. Except then
  917. 32:04people would feel free to eat animal
  918. 32:06foods.
  919. 32:06>> They are already.
  920. 32:08>> So, what about them vegans? The thing
  921. 32:11is, I am vegan for at least 10 reasons.
  922. 32:15One is the first 10 years of my career
  923. 32:17was in Earth Science, and I still have
  924. 32:20PTSD for what Earth scientists see. And
  925. 32:24for some reason, not even David
  926. 32:26Attenborough, Neil deGrasse Tyson, Bill
  927. 32:28Nye the Science Guy, celebrities, heads
  928. 32:31of nations, and the UN have been able to
  929. 32:34get the public to see what we see. I
  930. 32:36will never be able to understand that
  931. 32:38until the day I die. For those of you
  932. 32:41who say, "Wait, this is the guy who flew
  933. 32:44to Paris in record heat and he's
  934. 32:47lecturing us about global warming?
  935. 32:49Hypocrite." It's true. I still fly to be
  936. 32:52with my family and interview scientists.
  937. 32:54And if you want to rip me in the
  938. 32:56comments section, that's very fair. But
  939. 32:59I think it's also fair to say that
  940. 33:01agriculture is an enormous contributor
  941. 33:04to destruction of the planet and every
  942. 33:06one of us has the power to do something
  943. 33:07about that. I gave a TEDx talk about it.
  944. 33:10But if you think my dietary beliefs are
  945. 33:13influenced by veganism, you would be
  946. 33:15wrong. I have never been able to find
  947. 33:17data that indicates that a 100% whole
  948. 33:20food plant-based diet is healthier than
  949. 33:23Valter Longo's longevity diet, which
  950. 33:25indicates fish twice a week. But what is
  951. 33:28a good vegan diet? If you find this
  952. 33:30research to be credible as I do, then it
  953. 33:32means getting enough methionine to
  954. 33:34prevent frailty.
  955. 33:36And that means making sure that nuts,
  956. 33:39seeds, and soy are in our diets. And
  957. 33:42that is going to spawn a lot of debunk
  958. 33:44videos of me from members of the
  959. 33:46plant-based community whose heroes are
  960. 33:49people like Nathan Pritikin and Dr.
  961. 33:51McDougall.
  962. 33:52Those are my heroes, too. I just think
  963. 33:54they formed their ideas decades ago when
  964. 33:57we didn't have a studies like Mora's.
  965. 33:59Science has moved on.
  966. 34:02So that brings up the final question.
  967. 34:04What inspires Mora to spend seven years
  968. 34:07in obscurity working on a paper like
  969. 34:09this? She's not getting rich or famous.
  970. 34:11She's not funded by industry. So why
  971. 34:14does she do it?
  972. 34:15>> I'm going to Italy.
  973. 34:16>> Oh, you are. That's where you're from.
  974. 34:18>> Sardinia.
  975. 34:19>> Sardinia. Oh, wow.
  976. 34:21>> Where centenarian come from.
  977. 34:23>> Yeah. Yeah, that's awesome.
  978. 34:24>> I joined Valter Longo's because I've
  979. 34:26been surrounded with this longevity my
  980. 34:29the entire life. My great grandmother
  981. 34:31was a centenarian, so I always been very
  982. 34:34interested in the reason behind like
  983. 34:37someone can live 100.
  984. 34:39>> Yeah, fascinating.
  985. 34:40>> So, I was always been fascinated with
  986. 34:42the longevity, aging.

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