第 189 期·中文精讀

大衛·辛克萊:將人類壽命延長到百歲以上

David Sinclair: Extending the Human Lifespan Beyond 100 Years

衰老生物學家談表觀遺傳與長壽研究進展,以及延長健康壽命的現實路徑。

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中文精讀由 AI 基於原始訪談改寫,非官方翻譯,可能存在偏差或錯誤;表述以原音訊與官方文稿為準。說明

哈佛醫學院遺傳學系有間實驗室,裡面養著一批特殊的小鼠。研究人員可以透過一個類似調光旋鈕的裝置,把小鼠體內的DNA斷裂量調到正常水平的三倍。幾個月後,這隻小鼠開始變老:毛色發灰、皮膚鬆弛、器官陸續出現老年病。把旋鈕繼續往上擰,它老得更快。

同一間實驗室還能做反向操作。一只因為衰老而失明的小鼠,在注入三個基因之後,四周內重新看見了東西。

做這兩件事的人叫 David Sinclair(大衛·辛克萊),哈佛醫學院 Paul F. Glenn 衰老生物學研究中心的聯合主任。2021年6月,他上了 Lex Fridman 的播客,聊了兩個多小時,話題從釀酒用的酵母菌一路鋪到死亡的意義。

身體裡一直住著那個六歲的男孩

對話從一個很奇怪的感覺開場。Lex 說他現在回想自己,感覺和12歲時是同一個人。身體在變老,可時間好像根本沒走。

辛克萊說他也有這個張力。他至今覺得自己是個小孩,這在他的職業生涯裡幫了大忙。做科學需要好奇心,而好奇心來自不長大。他說自己六七歲那個男孩一直沒走,所以他能選擇把世界看成第一次見到的樣子,然後像給六歲小孩解釋那樣講出來。

另一面是,他在哈佛管著二十人的實驗室,有書要寫,有公司要開。他說大部分日子他都在假裝自己是個成熟的大人。

科學家需要對世界保持驚奇感。你不應該在12歲就長大,甚至不該在六歲、七歲就長大。(辛克萊)

這段談話裡出現了一首詩。A. A. Milne,也就是《小熊維尼》的作者,寫過一首《Now We Are Six》。辛克萊的祖母幾乎每天讀給他聽。

詩的末尾大意是:一歲時我才剛起步,兩歲時幾乎是新的,三歲時還不太像我,四歲時也沒多多少,五歲時只是活著,現在我到六歲了。我聰明得不能再聰明,所以我想我就永遠六歲下去吧。

他讀到這裡聲音有點哽。祖母是把他帶大的人之一,布達佩斯人,藝術家兼哲學家,討厭閒聊,只肯談人和文化。二戰期間她在自己的公寓裡藏過一群猶太朋友,見過人類能做出來的最壞的事。戰後蘇聯人控制匈牙利,她屬於會反抗的那一類。1956年革命,她參與其中,最後不得不逃出這個國家。

她留給辛克萊的話,藉著那首詩說出來:永遠保持年輕和天真,對世界保持驚奇,然後盡你所能讓人類變得更好。

這段交代完,後面的所有科學內容才站得住。一個人如果只是想讓人類活得更久,做不出這種勁頭。辛克萊說,他每天早上起床的動力,是讓這個世界比20世紀好一點,讓任何可能在觀察我們的存在,不管是外星人還是未來的歷史學家,看到人類可以做得更好。

用資料把死去的人重新拼回來

Lex 提到他私下的一個專案:用AI把愛因斯坦、圖靈、牛頓、費曼這些人重新“喚醒”。

他的思路分兩層。第一層是視覺上的,把這些人的怪癖、小動作、說話時的神情還原出來,讓後人能直觀感受這些生命到底是什麼樣的。第二層才是用文字、影像、聲音把一個人壓縮成一個能生成對話的模型。

有一家公司叫 Replika。創始人 Eugenia Kuyda 的朋友 Roman Mazurenko 被車撞死,她拿兩個人之間的聊天記錄訓練了一個語言模型,試著在朋友死後繼續跟他說話。對話很淺,很明顯是機器,但她獲得了安慰。

辛克萊對這個想法有興趣。他提到《黑鏡》裡那集,妻子把死去的丈夫買回來,先是語音,後是模擬身體。

把理查德·費曼帶回來,難點在於還原他的幽默感。但那會很棒。(辛克萊)

他也看到了另一面。如果死去的人還很年輕,把他保留在數字世界裡,可能會讓活著的人無法往前走。

他自己想見的那個歷史人物,做法是把人從過去拉到未來。他選本傑明·富蘭克林。

我不會回到過去找他。我更願意把他帶到未來,跟他說,你能相信我們口袋裡現在裝著一臺會思考的機器嗎?然後看他臉上的表情。(辛克萊)

Lex 補了一句,富蘭克林看到現在的美國國會大概會很生氣。兩人同意,跟他聊科學就好,別碰政治,更別讓他上推特。

這裡有個細節值得停下來。Lex 說圖靈的處境很令人難過,因為幾乎找不到任何關於他的錄音,據說有一份廣播錄音,但他一直沒找到。而費曼留下了大量的影片、訪談、旁人講他的段子,你能從各種側面看到一個完整的人。

一個人被後世記住的完整度,取決於他留下的資料密度。官方傳記只是一層壓縮過的薄片,而那些不體面的、走神的、開玩笑的片段,才承載了這個人真正的形狀。

辛克萊順著這個思路說,數字時代的好處就在這裡。我們正在無意識地為自己留下一種不朽,而且後人可以選擇只保留好的部分,把難看的那些丟掉,在死後繼續被慶祝。

衰老是一張被劃花的DVD

話題轉回生物學。Lex 問了個大問題:衰老到底是生物機器的特性,還是缺陷?

辛克萊說兩者都是。

進化只保證你活到能把自己複製出去為止。老鼠只需要兩三年,因為大機率會死於飢餓、被捕食或者凍死,所以它把資源全砸在快速繁殖上,不投資於身體的維護。弓頭鯨活幾百年,站在食物鏈頂端,沒有什麼能殺它,所以它慢慢繁殖,把身體造得結實。人類卡在中間,六百萬年前還在草原上被貓科動物追,身體結構相當脆弱。

哪怕是世界上最強壯的人,進了籠子和黑猩猩待在一起,那猩猩能一巴掌把他的頭拍掉。我們很可悲。(辛克萊)

所以我們要用這顆超大的大腦,用工程手段給自己補上進化沒給的東西。

那衰老的機制是什麼?主流說法是“八九個衰老標誌”:端粒磨損、細胞衰老、線粒體這個電池組衰退、幹細胞耗竭、蛋白質穩態失衡。辛克萊說這些當然都對,但他想再往上追一層。

他的答案是資訊。衰老是資訊的丟失,丟失的原因是熵,也就是噪聲。

這條線要回到1990年代他在MIT做酵母菌的日子。他研究的是 Saccharomyces cerevisiae,釀酒和烤麵包用的那種酵母。當時這是最熱的模式生物之一。四年裡,他找到了控制酵母衰老的基因,其中一個叫 SIR2。

這個名字值得拆開看。Silent Information Regulator,沉默資訊調節因子。三個詞裡最重要的是那個 I,Information。他們往酵母裡多塞一份這個基因,菌株活了30%更久,同時抑制了細胞內資訊的失調。

人體裡有七個同源基因,SIRT1到SIRT7。給小鼠多加一份SIRT1,大腦的衰老被減緩了。

細胞裡主要就兩種資訊。第一種所有人都知道,DNA,也就是基因組,用ATCG四個字母寫成,幾十億個字元,它會隨時間降解。但奇怪的是,在年老的動物和人身上,這部分資訊基本完好。你可以克隆一條狗,辛克萊在洛杉磯的朋友就把自己的狗克隆了三份。

第二種資訊是表觀基因組。物理上它就是DNA怎麼被捲起來、怎麼被繞出去,讓細胞能讀到特定的段落。

用一個類比:光碟上那些凹坑是數字資訊,那是基因組。表觀基因組是讀這張光碟的讀取器。在不同的細胞裡,你讀的是不同的曲子,不同的交響樂。(辛克萊)

這套讀取方式在胎兒時期被寫定,它讓一個皮膚細胞永遠是皮膚細胞,不會明天變成腦細胞。謝天謝地,否則大腦沒法正常工作。

問題出在時間上。老了以後,腦細胞開始變得像皮膚細胞,腎細胞開始像肝細胞。辛克萊的實驗室給這個現象起了個名字,叫 X分化(ex-differentiation)。用光碟打比方,就是碟面上多了劃痕,讀取器跳不過去,讀不全了。

劃痕從哪裡來?他說主要有兩個來源。

第一個是染色體斷裂。染色體一斷,細胞必須立刻進入緊急狀態,因為它只有兩個結局:癌變或者死亡。細胞會把表觀遺傳的蛋白質大規模重新排程,一部分去修補斷口,修完再回來。

你可以把它想成一場乒乓球比賽。蛋白質是球,它們本來待在該待的地方,負責讓這個細胞保持自己的身份。斷口出現,它們跑去救火,然後跑回來。年輕的時候球都能回到原位。年紀大了,有些球就再也回不來了。(辛克萊)

他說這個設計的本意是好的,基因表達的控制系統和DNA修復本來就應該協調。缺陷在於,一個不停變動的系統很難被精確復位。

人體每天發生的DNA斷裂接近一萬億次。八十年累積下來,就是表觀遺傳資訊被徹底攪亂。

為了驗證這個想法,他們造了一種可以人為製造斷裂的小鼠。裝置像一個調光旋鈕,可以精確控制斷裂量。辛克萊開玩笑說他是開特斯拉來的,也是《搖滾萬萬歲》的粉絲,所以能一路把旋鈕擰到11。擰到11,小鼠幾個月就老了。他們一般只用4檔,十個月變老,但該有的衰老特徵一個不少:皮膚鬆弛、毛髮變灰、各種老年病。用表觀遺傳時鐘去測,這些小鼠比同齡小鼠老了50%。

第二個劃痕來源是細胞應激。神經受損之後會加速衰老。此外還有化學因素,比如吸菸,會顯著加速生物學年齡。

找出那個能擦掉劃痕的備份檔案

既然劃痕會累積,那有沒有可能把它擦掉?

辛克萊說他花了大約五年時間找一個東西。他把這個靈感歸給克勞德·夏農(Claude Shannon)。1940年代,夏農在MIT寫出《通訊的數學理論》,裡面提出一個“觀察者”的概念,本質上是一個備份副本:資訊傳丟了,它負責補上缺口。用今天的話說,網際網路的TCP/IP協議就在幹這件事。

任何複寫過磁帶、影印過檔案的人都知道,資訊丟掉了就是丟掉。所以我要在身體裡找一份備份。(辛克萊)

他們找到了一個開關。2020年12月,論文發在《Nature》上。

具體做法是用三個胚胎基因。這三個基因出自山中伸彌(Shinya Yamanaka)2006年發現的那組“山中因子”,四個基因,憑這個拿了2016年的諾貝爾獎。四個基因同時高水平表達,可以把成年細胞變回幹細胞。

但辛克萊要的效果,是把年齡往回撥一部分然後停住,一旦在眼睛裡造出一堆幹細胞,那就是災難。

問題在於,你能不能安全地把細胞的年齡往回撥一點,不變成腫瘤,也不在眼睛裡生成幹細胞。答案是能。(辛克萊)

他們只用了三個基因,去掉了會致癌的 c-Myc。方法是用病毒遞送,所以能控制什麼時候、在哪裡開啟。他們讓一只因為衰老而失去視力的老鼠恢復了視覺,神經重新向大腦傳遞訊號。四到八週起效。

再往前一步,他們把同樣的操作施加到那些被人工催老的小鼠身上。這些小鼠正在一點點拿回學習能力。

風險當然存在。劑量過頭、控制不好的話會誘發腫瘤。論文裡說,高劑量透過靜脈注射到全身,小鼠一年多沒有出現癌症。辛克萊對時間表很樂觀:不到兩年就進入人體試驗。

被蟲咬過的菜,營養價值更高

有一類分子,名字很難聽,叫 xenohormetic molecules,跨物種激素激效分子。辛克萊說這個名字是他和 Conrad Howards 一起起的,責任他全負。

拆開來看:xeno 是跨物種,hormesis 是“殺不死你的讓你更強”。合起來的意思是,植物在逆境裡合成一類分子,人吃了之後獲得同樣的抗逆能力。

這套機制在農業上早就有經驗。想讓橙子更健康,收穫前可以在樹皮上釘幾根釘子。想讓葡萄釀酒更好,就讓它旱著,或者讓它長點黴菌。植物被逼到牆角,會合成那些顏色很深的分子,啟動自身的防禦通路,包括 sirtuin 那批基因。

人吃下去,也啟動了同一批通路。辛克萊認為這跟巧合沒關係。身體需要一套預警系統:食物供應出問題的時候,要提前進入應對饑荒的狀態,收縮消耗,加固自身。所以吃到那些受了苦的植物,等於收到了一個訊號。

按實用主義的說法:如果它顏色很深,或者上面有毛毛蟲咬過的洞,本地農場種的,我就吃。反過來,那種水汪汪、顏色淺淡、在加州大棚裡種出來的生菜,我不碰。(辛克萊)

Lex 接了一句妙話:所以你想要的是被虐過的蔬菜,蔬菜界的 David Goggins。辛克萊大笑著收下了這個說法。

最典型的例子是白藜蘆醇。葡萄藤在缺水、強光或者真菌感染時會大量合成,辛克萊本人就在吃這個補劑。他們實驗室證明它能啟用人體的 sirtuin 酶,也就是當年在酵母裡延長壽命、在大腦裡減緩衰老的那套東西。

一天一頓,把20歲的身材要回來

辛克萊自己的吃法:一天只吃一頓,大多數時候跳過早餐,現在連午餐也跳過。他說自己找回了20歲時的體型,腦子比過去清楚,不再有下午的疲憊感,睡眠也變好了。

他認為,如果只能給一條抗衰老建議,那就是每天少吃一兩頓。

這個結論有實驗支撐。他說2000年代初期,他們實驗室最早證明了熱量限制如何延長壽命,至少在酵母裡是這樣,那是所有物種裡的第一次。機制是飢餓啟動了那些長壽基因。身體以為自己被劍齒虎追,或者處在極熱極冷的環境裡,於是切換到防禦模式。鯨魚靠這套機制活幾百年,老鼠沒有這套機制,所以只有兩三年。

吃什麼重要還是什麼時候吃重要?辛克萊引用了 Rafael de Cabo 在美國國立衛生研究院做的一個實驗:一萬隻小鼠,喂不同的碳水、蛋白、脂肪配比,想找出最優組合。

結果只有一天只吃一頓的那組活得更久。這個實驗告訴我們,什麼時候吃,比吃什麼重要得多。(辛克萊)

他說這話的時候還補了一句,兩樣都做對,收益最大。

落到操作,他的建議是別硬來。從一天三頓加零食直接跳到一天一頓,身體會反抗。用兩三週慢慢過渡。液體可以喝,茶、咖啡加牛奶都沒問題,無糖汽水他也喝,雖然因此捱過批評,但他打算繼續。關鍵是給身體時間去適應“嘴裡沒東西”這件事,兩三週之後,習慣就斷了。

他自己也承認意志力不強。試過兩天斷食,可能在第三天放棄了。他還說自己討厭運動。

飲食結構上,他推薦以植物為主。地中海飲食、沖繩飲食,都是大量植物配少量肉,紅肉很少。道理在 mTOR 這條通路上。這個蛋白激酶對某些氨基酸敏感,這些氨基酸在肉類裡含量更高,mTOR 被啟用會縮短壽命;反過來,剝奪這幾種氨基酸,壽命延長。雷帕黴素能抑制 mTOR,有些人已經在試,但他說結論還不明確。

吃肉會讓你立刻感覺很好,肌肉更多,精力更足。問題是我懷疑這是以長期健康為代價換來的。(辛克萊)

他把這套邏輯歸到“可拋棄體細胞理論”上。1970年代提出的這個假說認為,資源分配只有兩種策略:快速生長繁殖,或者慢慢維護身體。吃肉大概把人推向前一種,像老鼠。想當鯨魚,就得少吃肉,做那些保護身體的事。

他自己對甜食相當嚴格,幾乎不在任何東西里加糖,一年吃一兩塊芝士蛋糕。想要甜味就用甜菊糖。水果也控制,尤其是果汁,那種糖分衝擊在長期看是不健康的。

睡眠、運動和大腦,誰該排第一位

關於睡眠,辛克萊給出的最硬的一條證據是:把大鼠的睡眠剝奪兩週,它會發展出2型糖尿病。睡眠的重要性就這麼大。

往分子層面看,人體內有一批蛋白質隨晝夜起伏,大多數細胞都有這個節律。節律被打破,衰老會提前。反過來也成立:年紀越大,這個節律的振幅越小,所以你越老越難入睡,睡眠質量越差,而睡不好又加速衰老。一圈正反饋就這麼轉起來了。

輪班工作者是各類老年病的高危人群,這一點已經有明確證據。

Lex 在這裡提了個不同的視角。他不太看總時長,而是看壓力、快樂、愉悅這幾個指標,睡眠只是工具之一。他覺得盯著“必須睡夠八小時”這件事本身會帶來壓力。有時候八小時,有時候四小時加一個午睡,只要臉上掛著那種傻乎乎的笑,就是狀態好。

他還說自己現在仍然通宵。理由無關打遊戲,而是在做真正熱愛的事。那種凌晨七點還沒睡但仍在推進工作的狀態,對他而言是一種對人類精神的慶祝。

辛克萊同意,但把重點放回質量上。他看自己的資料,決定一天狀態的是深睡時長,跟小時數關係不大。睡前喝酒會明顯削掉深睡,第二天醒來幾乎記不住東西。反過來,如果一個人沒有皮質醇在體內亂竄,自然更容易進入深睡。四小時的高質量睡眠,勝過八小時輾轉反側。

運動這塊,證據非常清楚。每週騎行超過80英里的人,多種疾病風險降低40%,心血管病尤其明顯。但收益曲線是漸近的:不需要很多,就能拿到大部分好處,練過頭反而收益遞減,尤其是關節磨損。

每週在跑步機上跑幾次,每次十分鐘,跑到喘不上氣,那種缺氧狀態對長期健康非常有益。(辛克萊)

他自己練力量,一部分是為了維持激素水平,更重要的是對抗久坐。人過了某個年紀,肌肉量每年掉1%左右,他不想老了以後摔一跤把髖骨摔斷。他說這種事在美國每20秒發生一例。

Lex 補充了他的經驗:慢跑有哲學上的好處,能清空腦子,邊跑邊聽棕噪聲。他解釋那種聲音比白噪聲更低更沉,像海浪。他大概五年前開始在工作時聽,第一次聽的時候,注意力像被吸進一個窄口,世界的干擾被拿掉了。他不確定這能不能推廣到別人,但這件事本身給了他一個啟發:可能還有很多這樣的“開關”散落在生活裡,值得去找。他舉例說做完近視鐳射手術第二天醒來,第一個念頭是“為什麼我不早點做”。

關於壓力,辛克萊的說法很直接:大腦是長壽的中樞。

他自己小時候是個極度緊繃的孩子,完美主義者,非常害羞,怕失敗,拿不到A+就在臥室裡哭。二十多歲、三十多歲才意識到那樣活不下去,於是花了很多年把自己調到現在這個狀態:幾乎不緊張。他的實驗室有二十個人,多數時候像幼兒園,但他從沒發過火。有時候是幾百萬甚至幾十億美元的事,他的態度是保持冷靜,反正所有人最後都去同一個地方。

這話有實驗支撐。他在華盛頓大學的合作者 Shin-ichiro Imai 把 SIRT1 基因只在小鼠的神經元裡上調,小鼠活得更久。也就是說,光調大腦裡的一個基因,就足以延長壽命。另一個方向是下丘腦,這個區域往身體裡釋放大量化學物質和蛋白,其中大部分還沒被搞清,但只要改變這個小器官的炎症水平,就能讓動物活得更久。

先把大腦理順,再去處理別的事。(辛克萊)

他養魚。一缸魚裡,那條佔優勢的、狀態好的,和那條被欺負的,看上去完全不一樣。後者就是一副慘樣。他說,能不當那條被欺負的小魚,就別當。

活到一百歲不需要什麼黑科技

Lex 問:如果從現在算起五十年、一百年後出生的人,合理的目標壽命是多少?

辛克萊說這個數字他一直在往上改。

他給了一套很樸素的演算法。一個受過基本醫療照顧但不特別注意生活方式的人,平均壽命大約80歲。日本男性略高一些。如果把該做的事做到:吃得健康、不過量、不肥胖、做點運動、睡好、不長期焦慮,平均能多拿14年,也就是94歲。

所以活到一百歲根本不是什麼了不起的事,你只要專注在我說這些事情上就夠了。(辛克萊)

再往上,藥物可以疊加。雷帕黴素、二甲雙胍(治療糖尿病的藥,他自己在吃),配合生活方式的改變,應該能越過一百。

至於上限,人類目前的紀錄是122歲。但他不認為存在生物學層面的硬天花板。

憑什麼鯨魚能活300年,我們不行?我們的結構差不多,只是需要向它們學習。任何說人類上限就是某個數字的人,我認為是在胡說。生物體沒有必須死亡的定律,有些樹活了幾千年,它們的生物化學跟我們相當接近。(辛克萊)

Lex 追問了一個更哲學的問題:如果活兩百年甚至一千年,那個“人”還是同一個人嗎?能不能只替換掉容易壞的部分,把承載身份的資訊保留下來?

辛克萊的答案是,我們已經在替換身體部件了,但真正定義人的是大腦。神經元極難被替換,它們纏得太緊,動一個地方等於改整個網路。

他給了一個更有意思的方向。他們實驗室發現,如果把神經細胞的年齡逆轉,它們似乎能把記憶找回來。記憶沒丟,問題出在細胞不知道該怎麼讀取和執行。他們正在驗證:一隻年輕時學會某件事、老了忘掉的老鼠,在逆齡之後能不能把這件事想起來。目前所有證據都指向能。

所以我寧願把大腦原地返老還童,而不是替換單個細胞,後者太難了。(辛克萊)

那上傳呢?Lex 提到 Neuralink 這類腦機介面。辛克萊說這項技術在當代最好的用途是修復,比如視網膜、視覺皮層。至於儲存整個大腦,他認為最終還是要靠記錄,而且要做得足夠細,就需要在死後做非常精細的掃描,甚至原子級顯微成像,然後從零重建。

問題在於,掃描神經連線還不夠。真正決定“你是誰”的是哪些基因被開啟、哪些被關閉,也就是表觀基因組,而這個東西用顯微鏡很難看到。他提到喬治·丘奇(George Church)的實驗室發明了一種方法,可以原位讀出單個細胞裡哪些基因在開、哪些在關。沒有這一層,光掃結構是不夠的。

但他也承認,與其費這個勁,不如直接把現有硬體的表觀基因組重置回年輕狀態。

資訊終究會丟失。基因會因突變慢慢退化,所以靠這條路得不到嚴格意義上的永生。不過他覺得,把身體重置幾百次、活上幾千年,理論上是可能的。

你的醫生其實不瞭解你

辛克萊身上常年貼著各種感測器。採訪時他胸前貼著一片叫 BioButton 的東西,一英寸長、幾毫米厚,按一下開關,燈閃四下,直接連上手機。它每秒採集一千次資料:說話時的震動、身體朝向、睡姿、睡眠地點、打噴嚏、咳嗽、體溫、心率,還有能反映心臟健康的其他心電引數。另一款他還沒試的貼片能做心電圖。

這類裝置目前主要給出院病人用,屬於FDA認證的醫療級器械。一個心臟病人提前一週出院,醫院省下至少2000美元。全美醫療支出佔GDP的17%,如果一片可充電、成本幾美分的貼片能預測健康狀況、減少不必要的抗生素使用、預防心梗,省下的錢是幾千億美金量級。

如果你是一家醫院的院長,每個心臟病人能省2000美元,你會怎麼做?你不用,隔壁那家就會用。(辛克萊)

他預測會有一場官司把這個趨勢釘死:幾年後有人會起訴,我父親死於心梗,你們明明有二十美元的感測器卻沒用。判例一出,所有醫院都得配。

他十年前就開始用 InsideTracker 做血液檢測,每年多次,追蹤34項引數:睪酮、血糖、炎症指標。他現在51歲,按這些引數,身體狀態至少相當於四十出頭的人;如果認真執行,能把生化指標壓到三十出頭。當然他現在會偶爾吃個甜點。

InsideTracker 的做法是:你去合作實驗室抽血,或者上傳已有資料,付一點錢,後臺的演算法把你的指標和同齡人對比,給出“內在年齡”的評估,然後給出具體建議。辛克萊強調這些建議有依據,公司錄入了上千篇科學論文、幾十萬個人體資料點,幾萬名使用者被長期匿名追蹤,用來判斷哪種飲食、哪種補劑真的有效。他本人是其中一篇論文的共同作者,結論是這套飲食和補劑建議的效果優於治療2型糖尿病的主流藥物。

他講了一個很典型的場景。有一次年度體檢改成影片問診,他的醫生在“盲飛”,只能問一些常規問題:睡得好嗎,吃得怎麼樣。他說我這兒有 InsideTracker 的新報告,醫生馬上說快給我看。螢幕共享之後,醫生看得很起勁,因為醫生自己沒法隨便開這些檢查。辛克萊說想查一下糖化血紅蛋白,醫生說沒有家族史、沒有症狀,開不了。

我幾乎想伸手穿過螢幕掐死他。後來我自己花錢做了檢查,再拿給他看。(辛克萊)

這件事的癥結不在醫生的水平。醫生面對的是平均值,而平均值根本不存在。更麻煩的是,我們不知道自己的數字在同齡人裡算好還是算壞。辛克萊說他現在能把自己的表觀遺傳年齡和幾百個測過的人擺在同一張圖上,一眼看出自己站在什麼位置,而這個位置你的年度體檢永遠不會告訴你。

我們兩個人都是白人男性,都是這個年紀,都做這些事。我們做得對嗎?哪些地方需要修?這就是未來要回答的問題。(辛克萊)

他不接受“摸索著試,但不看結果”這種方式。做實驗不看資料,沒有任何道理。所以方向是給身體裝一塊儀表盤:口腔拭子、血液檢測、貼片感測器,資料匯到一處,醫生能看,你自己也能看。醫生甚至可以直接建議你今晚去哪家餐廳,因為你的維生素D和K2偏低,那家店有道菜正好補得上。

一場即將到來的官司

辛克萊講了個更激進的判斷:未來會出現一個案子,把整個醫療體系推著走。有人起訴醫院,我父親死於心梗,你們手上有二十美元的感測器技術,為什麼沒用。判例一旦成立,全美的醫院都得配。

賬算得過來。醫院做了,能省錢;醫院不做,隔壁那家會做。連鎖醫療集團扛不住成本壓力,保險公司也想參與進來。這跟道德關係不大。

他還談到醫學教育的變化。他在哈佛醫學院上課,學生對這個方向很興奮。衰老在他們眼裡是個新領域,是可以動手做點什麼的。上一代人他說已經沒救了,但下一代人的思維方式會變。

Lex 在這裡提了一個更微妙的觀察:醫生其實有一層自尊心在起作用。他們積累了多年臨床直覺,這套東西有價值,但當一個病人帶著比醫生所能調取的檢查多出幾個數量級的資料坐下來,醫生得把“專家”的帽子摘下來,變成一個好奇的、願意學的人。

辛克萊說他並不反對這個職業,他很多朋友是醫生。問題在於醫生也需要幫助。沒有人會開一輛沒有儀表盤的車,醫生憑什麼可以這麼幹。

隱私這件事,主動權應該在病人手裡

貼片這類東西往深了說,能讀出的東西遠超心率。辛克萊很直白:它大概能知道你某天晚上有沒有性生活。這種東西流出去,跟信用卡被盜刷完全是兩個量級,健康記錄洩露是永久的。

所以他說這塊必須是第一優先順序,InsideTracker 當初也是先把安全性做紮實。

保險公司的資料訪問權,他的態度是明確的:不該給。但如果你自願展示一部分,換取保費折扣,那是另一回事,這種模式已經在探索中。

Lex 補了一個他認為更根本的設計原則:資料要能帶走,也要能刪。如果一家公司允許我要求它徹底刪除我的資料,我就更願意把資料交給它。這條規則把消費者變成了一個有判斷力的授予者,你把資料獎給做得好的公司,從做得差的公司手裡收回來。不需要監管者替你做判斷,市場自己會淘汰。

三天不吃飯,時間會變慢

Lex 講了他做的一次72小時斷食。他說那是一種暫停的機會,讓你重新感激生活。斷食會讓時間感變得不一樣,會提醒你人是生物,身體需要食物。你會開始把身體看成一整套裝置:它把食物轉化成思想,然後短暫地停擺。心思細一點的人會順著往下想,這臺裝置還生產感情,有感激和愛,也有嫉妒、貪婪、仇恨。剩下的問題就是怎麼管好這具身體,讓它產出一段豐富的體驗。

辛克萊說斷食是最古老的健康干預之一,大概五千多年前的人就模模糊糊知道了。真正新的部分是搞清楚最優方案和機制。他自己做不到超過一天,兩天試過,第三天放棄了。他說自己意志力不強,還討厭運動。

我這樣都能做到一天一頓,說真的,任何人都能做到。(辛克萊)

關於吃肉這件事,辛克萊沒給 Lex 留面子。他說資料指向植物性飲食更好,地中海飲食和沖繩飲食的人群吃肉很少。不過他也不否認另一面:他自己前兩天吃了炸雞,身體兩天都不舒服,睡不著覺,那東西在胃裡不下去。他的腸道菌群已經被改造過了,現在就算想暴食也做不到了。

Lex 承認自己搬去奧斯汀之後重了差不多十五磅,飲食結構沒變,還是一天一頓,但那頓吃得很多,主要是肉。他給出的理由不在營養學,在人情:得州的烤肉、桌上的人、那種熱情。他也觀察到 Joe Rogan 的處理方式完全不同,Joe 清楚自己生酮或者純肉的狀態最好,但吃意麵的時候照樣吃,第二天再用瘋狂的壺鈴和跑坡把賬還上。

他那種活法是 fuck it,偶爾就得享受一下。我做不到。我知道身體對意麵的反應不好,所以我不會從那裡獲得快樂。(Lex)

Lex 說他的策略是在“好東西”上過量,而不是去吃“壞東西”。辛克萊說這大概也是一種平衡,只是每個人劃的線不一樣。

人類進化出了對死亡的天然否認

話題在這裡拐了個彎。Lex 提到 Ernest Becker 的《死亡否認》,還有海德格爾。這批哲學家認為大多數人活在一種對死亡的否認裡,我們沒有真正把“我會死”這件事吃進去。因為一旦真的吃進去,那種恐懼會大到無法生活。人從生活中提取意義的方式,建立在自己存在這個前提上,而“有一天不再存在”這件事本身令人無法處理,於是我們活在一個自己不會死的幻覺裡。

辛克萊說他每天都看到這件事在發生。跟人聊天,只要話題靠近,那種不適馬上浮現。

我們只能那樣活著,這是必要的。要是每天真的去想,大概會哭出來。不只是錯過自己,還有錯過家人、朋友。(辛克萊)

他把這放回生物學的框架裡。所有活著的生命都進化成了不想死,這跟心理層面的意願無關,驅動它的是生化、基因、物理層面的機制。他在MIT研究的那種酵母細胞,也在為活命掙扎。它們不思考,但機制是一樣的。大腦把這套求生的本能繼承了下來。

麻煩在於,人類是少數知道自己會死的物種。這在進化史上極其罕見,是詛咒也是禮物。

我們大概進化出了天然否認衰老和死亡的能力。想象一個部落,每天所有成員都想著自己會死,他們不會取得什麼技術進步,只會在茅屋裡或者草原上哭。(辛克萊)

這是他在職業生涯裡一直撞上的牆。公開演講、社交媒體上,只要提到年齡,人們的反應是牴觸的。他說情況在變好,書起了作用,這些檢測手段也會起作用。因為不去想這件事的代價是,你活到80歲,然後非常後悔。

Lex 接著把 Becker 和 Viktor Frankl 擺到了一起。Frankl 在《活出意義來》裡,Bernard Williams 在道德哲學裡,都指向同一個方向:知道自己會死,哪怕不常想,也構成了意義的來源。生命的稀缺性讓每個瞬間更甜。

辛克萊直接反駁了。

在我這裡,這個說法完全錯了。我每天感到快樂,這跟“想到自己會死”沒有關係。我快樂是因為每一天本身就值得快樂,是我自己把它變成那樣的。就算我認為自己能永遠活下去,我享受此刻的程度也不會少一分。(辛克萊)

Lex 說他一直在想這個問題,也知道自己可能是在自我說服。他有點怕自己如果真的永生,就不會像現在這樣享受生活。這個想法或許是接受必死的一種自我安慰。

他承認辛克萊說得對:享受生活需要努力,需要一種正確的心態。你可以把注意力放在世界醜陋的那一面,那面多得是。下雨天你可以抱怨波士頓的鬼天氣,也可以注意到自己有屋頂,然後盡情享受;或者乾脆跑進溫暖的雨裡,感受和自然合為一體。飛機上wifi斷了,你可以罵捷藍航空,也可以想,幾個小時內我就能穿過天空到地球另一邊,還能透過軌道上的衛星收發郵件、看電影。同一件事,兩種畫法。

跟一塊金屬比,我們是奇蹟

辛克萊說他自己的轉變是真實的。他曾經是那種“什麼都不順”的狀態,現在每天醒來都覺得日子很好。他認為即使相信自己能永遠活下去,也照樣能享受每一天。

他給出的方法很具體。他說自己還是那個六歲的孩子,六歲小孩會怎麼做?他會想,我讓手指握成拳,它們真的握起來了,這太酷了。

採訪桌上有個金屬方塊,一英寸見方。他說自己大概每天都會對著這類東西想一次:我是活的,我能思考,能移動,能吃東西,身體裡滿是能量;而這片葉子、這個方塊,永遠不會活過來。他就拿這個當參照系。

相對於桌上這塊金屬,我們是宇宙中了不起的東西,大概也是最了不起的東西。不管我活多久,這個比較都成立。(辛克萊)

Lex 接了一句:我們能深深欣賞那片葉子和那個方塊,也能深深欣賞自己,這可以是詛咒,但多數時候是禮物。

然後他把那首詩又唸了一遍。現在我到六歲了,我聰明得不能再聰明,所以我想我就永遠六歲下去吧。他說這是值得追求的東西,辛克萊的祖母當年就明白這一點。

真正能動手做的事

這期對話跨度很大,從酵母菌的一個基因,到一塊金屬方塊。把可操作的部分抽出來,大致是這些。

  • 先管大腦,再管別的。長期緊繃、易怒、焦慮對壽命的損耗是實打實的,下丘腦那個小區域的炎症水平本身就足以影響動物的壽命。把情緒基線調穩,收益排在所有補劑前面。
  • 從一天三頓加零食過渡到一天兩頓,再考慮一天一頓。用兩三週慢慢減,允許喝茶、咖啡加奶、無糖飲料,先破掉“嘴裡必須有東西”的習慣,別一上來就硬扛。
  • 調整進食節奏的優先順序高過挑選食材。一萬隻小鼠的實驗中,只有進食頻率改變的那組活得更久。先把進食視窗收窄,再最佳化盤子裡裝什麼。
  • 挑顏色深的、受過苦的蔬菜。本地農場種的、有蟲咬痕跡的、風味濃的,多酚和抗逆分子含量更高。避開那種水汪汪、顏色淺淡的大棚生菜和果汁。
  • 睡眠看深度,不看總時長。睡前幾小時別喝酒,它削掉的正是深睡。用一枚戒指或手錶把深睡時長記下來,比記總小時數有用。
  • 運動不需要很多,但要喘不上氣。每週幾次、每次十分鐘的高強度間歇就能拿到大部分長壽收益。另外每週兩三次力量訓練,對抗每年1%的肌肉流失,目的是老了不摔跤。
  • 花幾百塊做一次基礎血液檢測,把34項指標和同齡人對比一次。你會第一次知道自己站在什麼位置,而這個位置你的年度體檢不會主動告訴你。
  • 給自己建一份長期資料。辛克萊已經存了十二年。單次檢測說明不了什麼,趨勢才能。趨勢才能告訴你上個月那個改變是好主意還是壞主意。
  • 碰到真正熱愛的事,別被“要睡夠八小時”綁住。偶爾通宵推進自己在意的東西,那種狀態本身也是一種健康。
  • 如果條件允許,把你的表觀遺傳年齡測一次。生日只是地球繞太陽的次數,真正決定你狀態的是身體那口鐘走到了哪、走得多快。知道數字,才有得改。
  • 把“知道自己在變老”這件事當成一件可以正常討論的事。辛克萊說得很直白,迴避它的代價是活到八十歲再後悔。跟家人朋友聊起來,比一個人偷偷焦慮有用得多。

最後回到那首詩。辛克萊的祖母在布達佩斯見過人類能做出來的最壞的事,然後告訴她的孫子,要一直保持年輕和天真,對世界保持驚奇,盡你所能讓它變好。一個研究如何讓人活到一百二十歲的人,被交代的事其實跟活得久關係不大,跟別把自己弄丟關係很大。

文稿來自公開 Kaggle 資料集(rajneesh231/lex-fridman-podcast-transcript),為早期自動轉錄存檔,可能存在識別錯誤。
The following is a conversation with David Sinclair. He's a professor in the Department of Genetics at Harvard and co director of the Paul F. Glenn Center for the Biology of Aging at Harvard Medical School. He's the author of the book, Lifespan and co founder of several biotech companies. He works on turning age into an engineering problem and solving it. Driven by a vision of a world where billions of people can live much longer and much healthier lives. Quick mention of our sponsors, Onnit, Clear, National Instruments, and I, SimpliSafe and Linode. Check them out in the description to support this podcast. As a side note, let me say that longevity research challenges us to think how science and engineering will change society. Imagine if we can live 100,000 years, even under controlled conditions, like in a spaceship say, then suddenly a trip to Alpha Centauri that is a 4.37 light years away takes a single human lifespan. And on the psychological, maybe even philosophical level, as the horizons of death drifts farther into the distance, how will our search for meaning change? Does meaning require death or does it merely require struggle? Reprogramming our biology will require us to delve deeper into understanding the human mind and the robot mind. Both of these efforts are as exciting of a journey as I can imagine. This is the Lex Friedman Podcast and here is my conversation with David Sinclair. I usually feel like the same person when I was 12. Like when I, right now, as I think about myself, I feel like exactly the same person that I was when I was 12. And yet, I am getting older, both body and mind, and still feel like time hasn't passed at all. Do you feel this tension in yourself that you're the same person and yet you're aging? Yeah, I have this tension that I'm still a kid, but that helps in my career. Scientists need to have a wonder about the world and you don't wanna grow up at 12 year olds and even younger, I would say six, seven year olds. I've still got that boy in me and I can look at things. It's a gift, I think, that I can see things for the first time if I choose to, and then explain them as I would to a six year old because I am that mentally. But on the other hand, I'm getting older, right? I run a lab of 20 people at Harvard. I've got a book, I've got science to do, companies to run, and so I have to, on most days, just pretend to be a grownup and be mature, but I definitely don't feel that way. There's something I really appreciated in opening your book. You talked about your grandmother. And on this kind of theme, on this kind of topic, she, first of all, had a big influence on you. My grandmother had a big influence on me. And you also mentioned this poem by the author of Winnie the Pooh, Alan Alexander Milne. Maybe I can read it real quick because I love, on the topic of being children, when I was one, I had just begun. When I was two, I was nearly new. When I was three, I was hardly me. When I was four, I was not much more. When I was five, I was just alive, but now I am six. I am as clever, as clever, so I think I'll be six, now, forever and ever. So this idea of being six and staying six forever, being youthful, being curious, being childlike, this and other things, what influence has your grandmother had in your thinking about life, about death, about love? Yeah, I was getting misty eyed as you read that because that poem was read to me very often, if not every day, by my grandmother, who partially raised me. And she was as much a bohemian as an artist, philosopher. And she's one of those people that wouldn't talk about the little things. She said, I hate small talk. Don't talk to me about politics or the weather. Yeah, talk to me about human beings and culture. So I was raised on that, and this poem was one that she read to me often because she knew that the mind of a child is precious, it's honest, it's pure. And she grew up during the Second World War and in Hungary and Budapest witnessed the worst of humanity. She was trying to save a whole group of Jewish friends in her apartment, saw what happened after the World War, which was there was, the Russians were in control and locals weren't necessarily treated well if they were rebellious, which she was. And then there was the revolution in 56, which she was part of and had to escape the country. So she saw what can happen when humans do their worst. And her words to me, expressed in part through that poem was, David, always stay young and innocent and have wonder about the world, and then do your best to make humanity the best it can be. And that's who I am, that's what I live for, that's what I get up in the morning to do is to leave the world a better place and show to whoever's watching us, whether it's aliens or some future human historian, that we can do better than we did in the 20th century. You know, we mentioned offline this idea of bringing people back to life through artificial intelligence, sort of, I don't know if you've seen videos of basically animating people back to life, meaning whether it's, for me personally, I've been working on specifically about Albert Einstein, but also Alan Turing, Isaac Newton, and Richard Feynman. And it's an opportunity to bring people that meant a lot to others in the world and animate them and be able to have a conversation with them at first to try to visually, visually explore the full richness of character that they had as they struggle with the ideas of the modern age. Sort of, it's less about bringing back their mind and more bringing back the visual quirks that made them who they are. And then maybe in the future, it's using the textual, the visual, the video, the audio data to actually compress down the person for who they are and be able to generate text. There's a few companies, there's Replica, which is a chat engine that was born out of the idea of bringing, the founder lost her friend to, he got run over by a car. And the initial reason she founded the company was trying to just have a conversation with her friend. She trained machine learning, natural language system on the texts that they exchange with each other and try, she had a conversation with him sort of after he was gone. And it's very, the conversation was very trivial. It was obvious that it's AI agent, but it gave her solace. It made her actually feel really good. And that's the way I wonder if it's possible to bring back people that are, that mean something to us personally, not just Einstein, but people that we've lost and in that way achieve a kind of small artificial immortality. I don't know if you think about this kind of stuff. Well, I definitely think about a lot of things. That one's a really good one. There's a great Black Mirror episode about the wife who brings back the boyfriend or husband. I think one of the challenges with bringing back Richard Feynman would be to capture his sense of humor, but that would be awesome. But yeah, bringing back loved ones would be great, especially if they're young and they die early, though it may hold you back from moving on. That's another thing that could happen as a negative. But I think that's great. And I also think that it's gonna be possible, especially when we're recording some of us, every aspect of our lives, whether it's our face or things we see, right? Eventually one day, everything we see can be recorded. And then you can build somebody's experience and thoughts, speech, and you will have replicas of everybody, at least digitally, and physically you could do that too one day. But that's a good idea, especially because there are people that I'd like to meet, and I think it's easier than building a time machine. One person I'd love to meet is Benjamin Franklin. Really? Well, I wouldn't go back in time. I would, but I'd prefer to bring him into the future and say, can you believe we have this thinking machine in our pockets now? And just see the look on his face as to where humanity has come. Because I think of him as a modern guy that just was before his time. Yeah, so you're thinking Benjamin Franklin the scientist, not Benjamin Franklin the political thing. Because he'd be very upset with Congress right now. Right. So maybe talk to him about science and technology, not politics. Or maybe just don't get him on Twitter because he'll be very upset with human civilization. You know, I wonder what their personalities are like. Isaac Newton, it does seem complicated to figure out what their personality is like. Even Friedrich Nietzsche, who I also thought about. Feynman is, we just have enough video where we get the full kind of, I mean, it shows you how important it is to get not the official kind of book level presentation of a human, but the authentic, the full spectrum of humanity. You mentioned collecting data about a person, collecting the whole thing, the whole of life, the ups and downs, the embarrassing stuff, the beautiful stuff, not just the things that's condensed into a book. And then with Feynman, you start to see that a little bit. Through conversations, you start to see peaks of like that genius. And then through stories about him from others. And then certainly you, the sad thing about Alan Turing, for example, is there's very little, if any, recording of him. In fact, I haven't been able to find recording allegedly there's supposed to be a recording of him doing some kind of a radio broadcast, but I haven't been able to find anything. And so that's truly sad that it feels like it makes you realize how the upside, how nice it is to collect data about a person, to capture that person. That's the upside of the modern internet age, the digital age, that that information, yeah, creates a kind of immortality. And then you can choose to highlight the best parts of the person, maybe throw away the ugly parts and celebrate them even after they're gone. So that's a really interesting opportunity. You've also mentioned to me offline that you're really excited about all the different wearables and all the different ways we can collect information about our bodies, about the whole thing. What's most exciting to you in terms of collecting the biological data about a human being? Well, so I'm a biologist. I find animals and humans as machines very interesting. It's one of the reasons I didn't become an engineer or a surgeon. I wanted to understand how we actually are built. And so I think a lot about machines merging with humans. And the first of that are the bio wearables. And so I talked a lot about this, I wrote about it in Lifespan, the book, and pictured a future where you would be monitored constantly so that you wouldn't suddenly have a heart attack, you'd know that was coming, or you wouldn't go to the doctor and they don't know if you need an antibiotic or not. Long term, how old are you, how to fix things, what should you eat, what should you take, what should your doctor do? These devices, I predicted, would be smarter, better educated than your physician and would augment them. And then there'd be a human that would just tick off to see if it's correct and they approve. I also was predicting in the book that we would have video conferences with our doctors and that medicines would be delivered, initially by courier, but eventually by drones and get it to you sometimes in an emergency. And that we could even have pills that were synthesized or delivered in your kitchen and combined certainly. What's amazing about that is that, what are we now, two years since the book came out, even less, and that future is basically here already. COVID 19 accelerated that incredibly. So where we're at now in society is, if you wanna pay for it, you can have a blood test that will detect cancer 10, 20 years earlier than it would before it forms a tumor. You can, of course, do your genome very cheaply for less than $100 now. There are bio wearables already I wear, this ring from Aura that I have a number of years of data. I've been doing blood tests for the last 12 years with a company called Inside Tracker, which I consult for. And so I have all of that data as well. And there's 34 different parameters on my testosterone, my blood glucose, my inflammation. And I use all that data to, of course, I wear a watch that measures things as well. I use that data to keep my body in optimal shape. So I'm now 51. And according to those parameters, I'm at least as good as someone in their early 40s. And if I really work at it, I can get my biochemistry down to early to mid 30s, though I like to now eat a little dessert once in a while. So that's the future we're in right now. Anyone can do what I just said. But in the very near future, just in the next few years, you can be wearing wearables. So I'm currently wearing a little, what's called a bio sticker. This one I just put on last night. It's about an inch long, a few millimeters. Yeah, for people just listening, it's on David's chest. It's just, how does it attach? It's just kind of. It sticks on. Sticks on. Yeah, so on one side you have an on button that you press. The lights come on, flashes four times, it's good to go. It immediately syncs to your phone. And this one, it's called a bio button, a nice name. And there's another one that I have that I haven't tried yet that does EKG on your heart. This is mainly for doctors to monitor patients that go home after a heart attack or surgery. But that's medical grade FDA approved device. So there will be a day, in fact, it's already here, that doctors are using these to get patients to go home and save a week in hospital, $2,000 at least for each patient. That's massive savings for the hospital. But ultimately what I'm excited about is a future that isn't that far off where everybody, certainly in developed countries, eventually these will cost a few cents and rechargeable. The only cost will be the software subscription that can be monitored constantly. And to give an idea what this is measuring me at a thousand times a second is my vibrations as I speak, my orientation, it already has told me this morning how I slept, where I slept, what side I slept on. We've got sneezing, coughing, body temperature, heart rate, heart of other parameters of the heart that would indicate heart health. These data are being used to now to predict sickness. So eventually we'll have just in the next year or so the ability to predict whether something or diagnose whether something is pneumonia or just a rhinovirus that can be treated or not. This is really going to not just revolutionize medicine, but I think extend lives dramatically. Because if I'm gonna have a heart attack next week and that's possible, this device should know that and I'll be in hospital before I even have it. Maybe you can talk a little bit about InsideTracker because I saw that there's some really cool things in there. Like it actually, so maybe you can talk about, I guess that you're collecting blood to give it the data. So, and it has like basic recommendations on how to improve your life. So we're not just talking about diseases, right? Like anticipating having a particular disease, but it's almost like guiding your trajectory to life, how to, whether it's extend your life or just live a more fulfilling, like improve the quality of life. I suppose this is the right way to say it. How does InsideTracker work? What the heck is it? Because I thought there was also pretty cool. Yeah. What is it? Is it something other people can use? You can definitely use it. You can sign up, it's consumer. It's like a company consumer facing company. It is, yeah. And I also want to democratize the ability to just take a mouth swab eventually. We don't need to have a blood test necessarily, but for now it's a blood test and you'd go to a lab core request in the US. It's also available overseas. You can upload your own data for a minimal cost and get the algorithms, the AI in the background to take that data, plot where you are against others in your age group in terms of health and longevity at bio age. They call it inner age, but also it provides recommendations. And this isn't just a bunch of BS. It sounds like it might be to say, I'll go eat this or go to that restaurant and order that, but it's actually based on the basic. This company has entered hundreds. Now it would be thousands of scientific papers into their database and hundreds of thousands of human data points. And they have tens of thousands of individuals that have been tracked over time and anonymously that data is used to say what works and what doesn't. If you eat that, what works? If you take that supplement, what works? And I was a coauthor on a paper that showed that the recommendations for food and supplements was better than the leading drug for type two diabetes. That's so cool. The idea that you can connect, like skipping the human having to do this work, you can connect the scientific papers, almost like meta analysis of the science connected to the individual data. And then based on that sort of connect your data to whatever the proper group is within the whatever the scientific paper is to make the suggestion of how like how that work applies to your life. And then that ultimately maps to like a recommendation of what you should do with your life. Like it all like this giant system that ultimately recommends you should drink more coffee or less. Right, and we'll have the genome in there as well. You can upload that. Yeah, it's awesome. So these programs will know us way better than we do and our doctors as well. The idea of going to a doctor once a year for an annual checkup and having males get a finger up their butt and you cough, that to me is a joke. That's medieval medicine. And that's very soon going to be seen as medieval. Yeah, to me as a computer science person, it's always upsetting to go to the doctor and just look at him and like realize you know nothing about me. Like you're making your like opinions based on like, it is very valuable, years of intuition building about basic symptoms, but you're just like it is medieval. They're very good at it. In fact, doctors in medieval times were probably damn good at working with very little. But the thing is, I'd rather prefer a doctor that doesn't really know what they're doing, in terms of longterm effects or the cost in terms of longevity. It's very difficult to know how your choices affect your longevity because the impact is down the line. Like just because something makes me feel good now, like eating only meat makes me feel good now, I wonder what are the costs down the line. Well, think about what I was saying about the trade offs between growth and reproduction, which is what a mouse does and a whale that grows slowly, reproduces slowly, lives a long time. It's called the disposable soma theory. Koch would just propose that in the 70s. What meat probably does is put you in the mouse category, super fertile, grow fast, heal fast. And then if you wanna be a whale, you should restrict meat and do things that promote the preservation of your body. Is it difficult to eat a plant based diet that you perform well under? So mentally and physically, just almost, I'm asking almost like an anecdotal question or unless you know the science. Well, the science is still being worked out, but from the synthesis of everything that I've read, I try to eat a diet that's definitely full of leafy greens, particularly spinach is great because it's got the iron that we need, plenty of vitamins. I also try to avoid too much fruit and berries, particularly fruit juice, definitely avoid that sugar high. Spiking your sugar is not healthy in the long run. The other thing that's interesting is we discovered what we called xenohormetic molecules. Let me unpack that because it's a terrible name and I take full responsibility with my friend, Conrad Howards. The Xeno means cross species and hormesis is the term that what doesn't kill you makes you live longer and be healthier. And so we're getting cross species health improvements by molecules that plants make. And plants make these molecules when they're also under adversity or perceived adversity. For instance, I understand if you want really healthy, good oranges, you can drive nails into the bark of the tree before you harvest. Same with wine, you typically want them to be dry before you harvest or covered in fungus. And that's because these plants make these colorful and xenohormetic molecules that make themselves stress resistant, turn on their sirtuin defenses, the serogenes remember. And when we eat them, we get those same benefits. That's the idea and we've evolved to do so. This isn't a coincidence. It's my theory, our theory that we want to know when our food supply is under adversity because we need to get ready for a famine. And so we hunker down and preserve our body and by eating these colored foods, so practically speaking, if it's full of color or if there's been some chewing by a caterpillar, organic, grown locally in local farms, I'll eat that versus a watery, insipid, light colored lettuce that's been grown in California. So you want vegetables that have suffered. You want the David Goggins as a vegetables. That's the xenohormetic molecules. I love that term. I'm gonna take that one with me, thank you. Yeah. Oh, I follow him on Instagram, he's always screaming. So you want that he's basically the xenohormetic version of a human. I like it. So these are the molecules that are representative of the stress that a plant has been under. Yeah, the best example of that is resveratrol, which many people, including myself, take as a supplement. Grapes, grapevines produce that in abundance when they're dried out or they have too much light or fungus and that we've shown activates the Sertu enzyme in our bodies, which remember is what extends lifespan in yeast and slows down aging in the brain. That's beautiful. Yeah, I tend to avoid fruit as well. So green, veggies, anything that's not very sweet. So I would just say you're relatively low, like you try to avoid sugary things as well. Yeah, I'm fairly militant about that. I rarely would add sugar to anything. Occasionally I would eat a slice of cheesecake, but that would be maybe once or twice a year. You have to give in occasionally. But yeah, anything that's sweet, I would rather substitute something like Stevia if I need a sugar hit. What about exercise? Your favorite topic. Is there a part? I don't mind talking about it. Okay, great. Is there benefits to longevity from exercise? Well, no doubt, that's proven. Just like fasting, it's pretty clear that that works. For example, there are studies of cyclists. It was something like people that cycle over 80 miles a week have a 40% reduction in a variety of diseases, certainly heart disease. So that's not even a question, but what's interesting is that we're learning that you don't need much to have a big benefit. It's an asymptotic curve. And in fact, if you overdo it, you probably have reduced benefits, particularly if you start to wear out joints, that kind of thing. But just 10 minutes on a treadmill a few times a week, lose your breath, get hypoxic, as it's called, seems to be very beneficial for longterm health. And that's the kind of exercise that I like to do, aerobic. Though I do enjoy lifting weights, so that is what I call my exercise, which has other benefits, including maintaining hormone levels, male hormone levels. But also really why I do it is I want to be able to counteract the effects of sitting for most of the day. And as you get older, you lose muscle mass. It's a percent or so a year. And I don't wanna be frail when I'm older and fall over and break my hip, which happens every 20 seconds in this country. So maintaining that strength, but also doing the cardio for the longevity, for avoiding the heart disease. Yeah, I definitely, just like with fasting, have the philosophical benefit of running long and running slow. I enjoy it, because it kind of clears the mind and allows you to think, and actually listen to brown noise as I run. It really helps remove myself from the world and just like zoom in on particular thoughts. What are these brown noise? It's like white noise, but deeper. So like the white noise is like shh, and then brown noise is more like, shh, like ocean. That sounds great. I might try that. Yeah, yeah, it's more soothing probably. I'm not sure. There could be science to this. I need to look this up. I've been meaning to. But when I started, this is maybe like five years ago, I started listening to brown noise when I work. And the first time I listened to it, something happened to my mind where it just went like zoomed in to like, in a way that it felt like really weird. Like how precisely it was able to sort of remove the distractions of the world and really help my mind. Obviously, like the mind is trying to focus and then it just enabled that process of trying to focus on a particular problem. I don't know if this is generalizable to others. People should definitely try it if you're listening to this. Maybe it's just my own mind, but it's funny, like it made me, brown noise made me realize that there's probably hacks out there that work for me that I should be constantly looking for. It's almost like an encouraging and motivating event that maybe there's other stuff out there. Maybe there's other brown noise like things out there that truly like almost immediately make me feel better. I don't know if it's generalizable to others, but it does seem that it's the case that there's probably for many others, things like that that could be discovered. And so it's always disappointing when I find things in life that I wish I would have found earlier. I got LASIK eye surgery a few years ago and the first thought I had like the next day when I woke up is like, damn it, why didn't I do this way earlier? There's all this stuff of that nature that are yet to be discovered. So it pays to explore. You have a different mind, you have quite a beautiful mind. So I suspect brown noise helps you focus and cause you're probably all over the place if you don't control it. Yeah, exactly. It means something about it. It's a programmer thing. I don't, programming is a really difficult mental journey cause you have to keep a lot of things in mind. You have to, so you're constantly designing things then you have to be extremely precise by making those things concrete in code. You also have to look stuff up on the internet to sort of feed like information and looking up stuff on the internet, internet is full of like distracting things. So you have to be really focused in the way you look stuff up in pulling that information in. So it requires a certain discipline and a certain focus that I've been very much exploring how to do. Like I do it really well in the morning, coffee is involved, all those kinds of things. You're trying to optimize, keeping very positive inspired, no social media, all those kinds of things and trying to optimize for. And everybody has their own kind of little journey that they try to understand. You get this from like writers when you read about the habits of writers, like the habits they do in the morning, they usually write like two, three, four hours a day and that's it. It's like they optimize that ritual. And then there's always Hunter S. Thompson. So sometimes it pays off to be wild. What about sleep? How important is sleep for longevity? I would guess based on the evidence that it's really important and because we don't know for sure. But what we know from animal studies is the following. If you restrict sleep from a rat for just two weeks, it'll develop type two diabetes. It's that important. So that's the main thing. What we also know is at the molecular level that if you disrupt your sleep wake cycle, so we actually have proteins that go up and down that control our sleep wake. All of us, most of our cells do that. If you disrupt that, you'll get premature aging. And guess what? The opposite is true. That as you get older, that cycle, the amplitude becomes diminished. And this is why it's harder to get to sleep as you get older and you've got all sorts of problems. And I think what's going on is this positive feedback loop, which is a disaster in your old age, which is you're aging, you can't at this moment totally prevent that. And then it's disrupting your sleep and you get not enough sleep and then that's gonna accelerate your aging process. And so it's known that the people who are shift workers are most susceptible to certain age related diseases. So your bottom line, you definitely wanna work on that. It's one of the reasons I have this ring on my finger, which helps me optimize my sleep and learn what I do the day before, if it was a bad idea and I'll stop doing that, like eating a fried chicken. I see you're still carrying the burdens of that decision. But yeah, sleep is one of those things that's making me wonder about the variability between humans a little bit and how science is often focused on, like it's not often focused on high performers in a particular way. And it's looking at the aggregate versus the individual cases. For example, like for me, I don't know what the exact hours are, but like power naps are incredible. I tend to look at the metric of stress and happiness and joy and try to optimize those. So decreasing stress, increasing happiness and using sleep as just one of the tools to do that. Because like hitting the five, six, seven, eight, nine hour mark or whatever the correct mark is, I find that to be stress inducing for me versus stress relieving. Like thinking about that, I feel best if I sleep sometimes for eight hours, sometimes for four hours and then power nap. And as long as I have a stupid private, usually smile on my face, that's when I'm doing good, as opposed to getting a perfect amount of sleep according to whatever the latest blog post is. And I also pull all nighters still. I also think there's something about the body, like as long as you do it regularly, it's not as stress inducing. Like you know what it is. The reason I pull all nighters isn't for like, I'm playing Diablo three or something, is because I'm doing something I'm truly passionate about. Well, like I'm also love video games, but I'm doing something I'm truly passionate about. And it's almost like there's the Jocko Willing feeling of when I'm up at 7 a.m. and I haven't slept all night and still I'm working on it. There's a kind of a celebration of the human spirit that I really enjoy it. Like, and that's happiness. And to sort of then, and I usually don't tell that kind of stuff to people because their first statement will be like, you should get more sleep. It's like, no, I'm doing stuff I love. You should get more love in your life, bro. That's right. So, but that said, in aggregate, when you look at the full span of life, is probably you should be getting a consistent amount of sleep. And it seems like it's in that seven, eight hour range. Yeah, but it's similar to food. It's the quality, not the quantity, right? And when you get it. So I look at my data pretty often. And what makes a difference to me is not the amount of hours, but the quality, the depth and the deep sleep is what will do it. So if I have a lot of alcohol before going to sleep and I can see my heart rate being different, but what really kills me is that I don't get a lot of that deep sleep and I wake up barely remembering stuff. So that, like you say, if you're happy and contented and you don't have these cortisol chemicals going through your body, you will more naturally get into that deep state. And even if you just get four hours, way better than eight hours of none of that. Yeah, yeah, that's beautiful. And some of that could be genetic. For me, I just, I fall asleep like this. If you want me to fall asleep right now, I can do it. It's no, I have no problem with it. Combined with coffee, I just had two energy drinks. I can probably sleep. So that, I don't know if that's genetics or it's kind of, I don't know what it is. Or maybe that I don't have kids and I'm single. So I don't have, I'm almost listening to some kind of biological signal versus societal signal on when I'm supposed to go to sleep. So I just go to sleep whenever I feel like going to sleep. Well, that's because you're a self employed. Self employed. Most people don't have that luxury, but we're lucky, the two of us, that we can make our own hours. Yeah. But yeah, it's super important. And those people who have shift work, I mean, they really need to change the way that works because they're literally killing those people. Is there something you could say about the, the mind and stress in terms of effect on longevity? Sort of, I don't know if you think about it this way, but when you talk about the biological machine, it's always these mechanisms that don't, are not necessarily directly connected to the brain or the operation of the brain. Like what's the role about stress and happiness and yeah, the sort of higher cognitive things going on in the brain on longevity. Right. Well, that's a great point that the brain is the center for longevity. Actually, we do know that. For a start, when I'm stressed, I can see mentally stressed, then I can see it in my body. Heart rate, hormones, it's clear. That's no true surprise. So you've got to work on your brain first and foremost. If you are totally freaked out, agitated all the time, you will live shorter. I'm certain of it. You know, I keep fish. I'm a big aquarium guy. And you can see the difference between the fish that's having a good time and dominant and one that gets picked on. It just looks like crap. You don't want to be that, the little fish getting picked on if you can help it. So I used to be extremely stressed as a kid. I was a perfectionist, very shy, always worried about being a failure. If I didn't get an A+, you know, I was crying in my bedroom, that kind of sad existence. I got into my twenties, then in my thirties, and realized that's not the way to live. So I've worked very hard to get to this point where I almost never get stressed, never. There's nothing that, I've never gotten angry in my lab. I've got 20 kids. Sometimes it's like a, most of the time it's like a kindergarten. I haven't lost my temper. I'm very calm, but that's intentional. And I don't worry about stuff. Millions of dollars, billions of dollars at stake sometimes. Keep it cool. It's only life. We're all headed to the same place anyway. Don't worry about it. But to answer your question, I think in a better way, if you manipulate the brain of an animal, I'll give you an example. If we turn on this CERT gene that I mentioned, CERT1, we, a good friend of mine at WashU, Sheena Mai did this. They upregulated that gene just in the neurons of the animal. It lived longer. So that's sufficient to extend lifespan. We also know that you can manipulate the part of the brain called the hypothalamus, which leeches a lot of chemicals into the body and proteins, most of which we don't know yet, but just changing the inflammation of that little organ or part of the brain is sufficient to make animals live longer as well. So get your brain in order first before you tackle anything else, I would say. So you kind of mentioned this, with the inside tracker, there's ability to take blood measurement and then infer from that a bunch of different things about your body and how you can improve the longevity. And you've also mentioned saliva and more efficient ways to get data. What does that involve? What's the future of data collection look like for the human biological system? Right, well, yeah, the issue with blood is you need someone to take it. I mean, or you prick your finger, which hurts. So you've got to have something better. So I think what the future looks like is that you'll spit onto a little piece of paper and stick it in a machine and it'll do that for you. But we're not there yet. So the intermediate future that I'm building right now is that you would take a swab of the inside of your mouth, which is the easiest way to take cells out of your body and just ship them off. Okay, so it's called a buckle swab. I think we became very used to that. Right now, because of COVID, people don't like going to the doctor as much. They don't like going out. They just want to have home tests. And so that I think is the next 10 years where you'll get a kit in the mail, you'll swab your cheeks, stick it back in an envelope, send it off and a week later you have either a doctor's report or a health recommendation. And what can you get off a cheek swab? Well, you can get anything. You can get hormones, stress levels, stress hormones, blood glucose levels. You can also tell your age reasonably accurately doing that, actually quite accurately. And those clocks can not just tell you how you're doing over time, but can be used to give you recommendations to slow that process down. Cause some people sometimes are 10 years older biologically than their actual chronological age. I mean, why does it matter how many times the earth's gone around the sun seriously? Who cares about birthdays? It's how long your body's clock has been ticking and how fast. So I could take a cheek swab from you today, Lex, take it back to my lab. And we then by tomorrow tell you how old you are biologically based on what we call the epigenetic clock. And you might be freaked out, you might be happy, but either way we can advise you on how to improve the trajectory. Cause we know that smoking increases the speed of that clock. We also know that fasting and people who eat the right foods have a slower clock. Without that knowledge, you're flying blind. But I like the idea of a swab, cause it's just so easy. A lot of us have done something like that for COVID tests. It's not a big deal. I've been doing a nonstop rapid antigen test. So let me say that particular one rapid antigen test, they've been a source of frustration for me because like everybody should be doing it. It's so easy. We've also been working in my lab on democratizing these tests to bring them down from a few hundred bucks to a dollar. So just to clarify, you're talking about not research, you're talking about like company stuff, like actual consumer facing things? Well, right. The research on bringing the price down has occurred in my lab at Harvard. And then that intellectual property is being licensed and has been licensed out to a company that will be consumer facing. So anybody for a small amount of money can do this. Well, you got subscriber number one obsessed. I think that's a beautiful, beautiful idea. So somebody who maybe I would have been more hesitant about it until COVID, but the home tests are super easy. I almost wanted to share that data with the world, like in some way, not the entirety of the data, but like some visualization of like how I'm doing. Like, it's almost like when you share, if you had like a long run or something like that, I wish I could share because it inspires others. And then you can have a conversation about like, well, what are the hacks that you've tried and have a conversation about like how to improve lifestyle and those kinds of things that's grounded in data. That's exactly, that's what's gonna happen. Now, everything's anonymous, of course. We talked about security there, but once it's anonymized, you can then plot these numbers. And I've plotted my epigenetic age versus hundreds of other people who have taken this test now. And I can tell you where I fit relative to others in terms of my biological age. And I'm happy to share that with you because it's pretty low. You can choose to share it, of course, not everyone wants to share that. But when you go to the doctor, first of all, your doctor does treat you as though you're an average person and none of us are average, there's no such thing. But second of all, we never know how we're doing relative to others because we all, most of us, we don't share our information. So we might have this number and that number, but do you know that your numbers are good for your age or not? You have no idea. Even your doctor probably doesn't even know. So this graph that I'm talking about is the beginning of a world where you can say, how am I doing? For the two of us, we're white and we're male and we're this age and we do this. Are we good? Are we doing the right things or the wrong things? Do we need to fix certain things? And this is what the future is. It's forget about just experimenting and not knowing the result. I mean, who doesn't experiment and doesn't look at the data? No one, it makes no sense. So we're gonna enter a world where we have a dashboard on our body, the swabs, the blood tests, the biosensors where our doctors can look at that, but we can also look at it and they can recommend, go to this restaurant down the road. They've got this great meal. It's high in whatever you need today because you're lacking vitamin D and vitamin K2. Go for it. Ridiculous question or perhaps not. If you look maybe 50 years from now or 100 years from now, a person born then, what do you think is a good goal in terms of how long a person would live? What is the maximum longevity that we can achieve through the methods that we have today or are developing some of the things we've been talking about in terms of genetics, in terms of biology? Is there a number? Right, well, so it changes all the time because technology is changing so quickly. I keep revising the number upward, but I would say that if you do the right things during your life and start at an early age, let's say 25, we don't want malnutrition, starvation. That's not what I'm talking about. But in your 20s, start eating the kind of diets that I talked about, skipping meals. In animals, that gives you an extra 20 to 30%. We don't know if that's true for humans and even 5% more would be a big deal for the planet. I think that we should all aim to at least reach a century. I'm a little bit behind. I was born too early to benefit the most from all of this discovery. Those of you who are in your 20s, you should definitely aim to reach a hundred. I don't see why not. Consider this, this is really important. The average lifespan of a human that looks after themselves but doesn't pay attention is about 80, okay? Japan, that's the average age for a male, a bit higher. If you do the right things in your life, which is eat healthy food, don't overeat, don't become obese, do a bit of exercise, get good sleep and don't stress, that gives you on average 14 extra years. That gets you to 94. So getting to a hundred, if you just focus on what I'm talking about, it's not a big deal. So what's the maximum? Well, we know that one human made it to 122 and a number of them make it into their teens. I think that's also the next level of where we can get to with the types of technologies that I'm talking about. Medicines, like I mentioned rapamycin, there's one called metformin, which is the diabetes drug, which I take. That in combination with these lifestyle changes should get us beyond a hundred. How long can we ultimately live? Well, there's no maximum limit to human lifespan. Why can a whale live 300 years, but we cannot? We're basically the same structure. We just need to learn from them. So anyone who says, oh, you max out at X, I think is full of it. There's nothing that I've seen that says biological organisms have to die. There are trees that live for thousands of years and their biochemistry is pretty close to ours. What do you think it means to live for a very long time? Let's say if it's 200 years we're talking about or a thousand years. There's some sense, you could argue, that there is immortal organisms already living on Earth, like there's bacteria. So there's certain living organisms that in some fundamental way do not die because they keep replicating their genetic, they keep like cloning themselves. Is it the same human if we can somehow persist the human mind, like copy, clone certain aspects and just keep replacing body parts? Do you think that's another way to achieve immortality? To achieve a prolonged sort of increased longevity is to replace the parts that break easily and keep, because actually from your theory of aging as a degradation of information, so an information theory view of aging, like what is the key information that makes a human? Can we persist that information and just replace the trivial parts? Yeah, I mean the short answer is yes. We're already replacing body parts but what makes us human is our brain. Everything else is suboptimal except our brain. The ability to replace actual neurons is really hard. I think it might be easy to upload rather than replace neurons because they're so tight, it's such a network and just perturbing the system. It's Roger and Gizcat. You change everything once you get in there. The problem is, well, I guess the solution, let me go to the solution that's more interesting. What we're learning is that if you reverse the age of nerve cells, it looks like they get their memories back. So the memories are not lost. They're just that the cells don't know how to interpret them and function correctly. And this is one of the things we're studying in my lab. If you take an old mouse that has learned something when it was young but forgotten, does it get that back? And all evidence points to that being true. So I'd rather go in and rejuvenate the brain as it sits rather than replace individual cells, which would be really hard. What do you think about like efforts like Neuralink, which basically you mentioned uploading, are trying to figure out, so creating brain computer interfaces that are trying to figure out how to communicate with the brain. But one of the features of that is trying to record the human brain more and more accurately. Do you have hope for that to, of course, it will lead to us better understanding from a neuroscience perspective, the human mind, but do you have hope for it increasing longevity in terms of how it's used? I think that it can help with certain diseases. But I see, at least within our lifetime, that's the best use of it is to be able to replace parts of the body that are not functioning, such as the retina and other parts, the visual cortex back here. That's going to be doable. In terms of longevity, maybe we could put something on the hypothalamus and start secreting those hormones and get that back. Ultimately, I think the best way to preserve the brain is going to be to record it. But also, I think it's going to require death, unfortunately, to then do very detailed scans, even if you have enough time and money, atomic microscopy, and rebuild the brain from scratch. Rebuild from scratch, yeah. We are living more and more in a digital world. I wonder if the scanning is good enough for the critical things in terms of memories, in terms of the particular quirks of your cognitive processes. They're not, they're not, yeah. We're not close, yes, but we've made quite a bit of progress, so if you're an exponential type of person. Yeah, well, let's dream a little here. Yes, that's the point. The way it would work, that I could see it working is, so you take a single cell slice through your dead brain, and we can now, the problem with the engineering aspect is that, the engineering is, the physical aspect of the brain is not even half the problem. The problem is which genes are switched on and off. This experience that we're having here is altering certain genes in neurons that will be preserved, hopefully, for a number of decades, but you cannot see that with a microscope easily, but there are technologies invented, actually just down the hall in the building I'm at, George Church invented a way, his lab invented a way, to look at which genes are switched on and off, not only in a single cell, which any lab can do these days, but in situ, where it's situated in the brain. So you can say, okay, this nerve cell, had these genes switched on and these switched off, we can recreate that, but just scanning the brain and looking how the nerves are touching each other is not gonna do it. Wow, okay. So you have to scan the full biology, the full details. And look at the epigenome. And the epigenome too. Yeah, which genes are on and off. It's just easier to reset the epigenome and get them to work like they used to. True, true. We're doing that now. Use the hardware we already have, just figure out how to make that hardware last longer. Right, ultimately information will be lost, even genetic information degrades slowly through mutation. So immortality is not achievable through that means, though I think we could potentially reset the body hundreds of times and live for thousands of years. Okay, so we talked about biology. Let's, forgive me, but let's talk about philosophy for just a brief moment. So somebody I've enjoyed reading, Ernest Becker wrote The Denial of Death. There's also Martin Heidegger. There's a bunch of philosophers who claim that most people live life in denial of death. Sort of we don't fully internalize the idea that we're going to die. Because if we did, as they say, there will be a kind of terror of, I mean a deep fear of death. The fact that we don't know what's, like we almost don't know what to do with non existence, with disappearing. Like our, the way we draw meaning from life seems to be grounded in the fact that we exist and that we at some point will not exist is terrifying. And so we live in an illusion that we're not going to die and we run from that terror. That's what Ernest Becker would say. Do you think there's any truth to that? Oh, I know there's truth to that. I experience it every day when I talk to people. We have to live that way. Although unfortunately I can't, but for most people it's extremely distressing to think about their own mortality. We think about it occasionally. And if we really thought about it every day, we'd probably be brought to tears. How much we not just miss ourselves, but miss our family, our friends. All living life forms have evolved to not want to die. And when I mean want, biochemically, genetically, physically. That yeast cell, the cells that I studied at MIT, they were fighting for their lives. They didn't think, but our brain has evolved the same survival aspect. Of course, we don't want to die. But the problem for us, unfortunately, it's a curse and a blessing is that we're now conscious. We know that we're going to die. Most species that have ever existed don't. That's a burden, that's a curse. And so what I think has happened is we've evolved certainly to want to live for a long time, perhaps never want to die. But the thought about dying is so traumatic that there is an innate part of our brains. And it's probably genetically wired to not think about it. I really think that's part of being human. Because, think about tribes that obsessed with longevity every day and that we're going to die. They probably didn't make much technological progress because they were just crying in their huts every day or on the Savannah. So I really think that we've evolved to naturally deny aging. And it's one of the problems that I face in my career. And when I speak publicly and on social media is that it's shocking. People don't want to think about their age, but I think it's getting better. I think my book has helped. These tests that we're developing should help people understand it's not a problem to think about your longterm health. In fact, if you don't, you're going to reach 80 and really regret it. And the other side of it, so again, Ernest Becker, but also Viktor Frankl recommended highly Man's Search for Meaning. Bernard Williams is a moral philosopher. They kind of argue that this knowledge of death, even if we often don't contemplate it, we do at times. And the very, what you call the curse, which I agree with you, it's a curse and a blessing that we're able to contemplate our own mortality. That gives meaning to life. So death gives meaning to life, is what Viktor Frankl argues. I would probably argue the same. There's something about the scarcity of life and contemplating that, that makes each moment that much sweeter. Is there something to that? I think it's individual. In my case, it's completely wrong. I appreciate you saying that. I don't get joy out of every day because I think I'm going to die. I get joy out of every day because every day is joyous and I make it that way. And even if I thought I was going to live forever, I would still be enjoying this moment just as much. And I bet you would too. Well, I think about that a lot. I think it's very difficult to know. I'm almost afraid that I wouldn't enjoy it as much if I was immortal. I'm almost afraid to want to be immortal or to live longer because it perhaps is a kind of justification for me to accept that I'm going to die. It's saying like, oh, if I was immortal, I wouldn't be able to enjoy life as much as I do. But it's very possible that I would enjoy just as much. Of course, enjoying life, whether you're immortal or not, takes work. Like it requires you to have the right kind of frame of mind. You can discover, you can focus your mind on the ugliness of life. There's plenty of ugly things in this world and you can focus on them. You can complain. Whenever like, you know, if it's raining outside, you can focus on the fact that you have shelter and enjoy the hell out of it. Or you can enjoy running in the rain when it's warm and the beauty of nature, just being one with nature. Or you can just complain, it's fucking weather again in Boston and then it's either always raining or freezing, damn it. The same thing with like wifi going out on airplanes. You can either complain about stupid wifi on JetBlue or something. Or you could say like, how incredible it is that I can fly through the sky and in a matter of hours be anywhere else in the world. And then I could also on occasion watch like check email and even watch movies while connecting through satellites that are flying through space. So it's a matter of perspective and perhaps there's an extra level of work required when you're immortal because it's easier when you're immortal or live longer to be lazy, to delay stuff. But if you're not, you can still derive the same amount of joy. It's possible, it's possible. It's definitely possible. In my life, I went from being the nothing's working to every day's great to wake up to. And I think even if you think you can live forever, you can enjoy every day. What I do is everything's relative. We can compare ourselves to our neighbor who has more money or to the flight that should have had wifi or which is what I do, I'm still six years old remember. What a six year old does says, look, I can, when I tell my fingers to form a fist, they actually do that. That's really cool. That's how I live my life. I can pick up on your desk here, this metal object. It's a metal cube, about an inch by an inch by an inch. And I tell myself not about cubes, but about inanimate objects. Probably once a day I'll say, I'm a living thing. I can think, I can move, I can eat, I am full of energy. And there's that leaf or this cube here that will never be alive. That's what I look at and compare myself to. And for as long as I live, if it's forever, of course it won't be, but even if it was forever, relative to this lump of metal on this table here, we are wondrous things in the universe and probably the most wondrous things in the universe. Yeah, we're able to deeply appreciate the leaf or the cube and deeply appreciate ourselves, which is, it can be a curse, but it's mostly a gift, especially when you're, it's such a beautiful poem. Now I'm six, I'm as clever as clever, so I think I'll be six now forever and ever. That's a good thing to aspire to. Your grandmother was onto something. David, this is an incredible conversation. I'm a huge fan of your work. So thank you for wasting your valuable time with me today. I really, really appreciate it. This was awesome. Thank you for having me on, Lex, appreciate it. Thanks for listening to this conversation with David Sinclair, and thank you to Onnit, Clear, National Instruments, Simply Safe, and Linode. Check them out in the description to support this podcast. And now let me leave you with some words from Arthur Schopenhauer. All truth passes through three stages. First, it is ridiculed. Second, it is violently opposed. Third, it is accepted as being self evident. Thank you for listening, and hope to see you next time. but has a huge amount of data to work with. Well, you're right. And many of my good friends are doctors. I work at Harvard. So I'm not against the profession at all. But I think that they need just as much help as anyone else does. We wouldn't drive a car without a dashboard. We wouldn't think of it. So why would doctors do the same? If we could, could we step back to the big, profound, philosophical, both tragic and beautiful question about age? How and why do we age? Is it from an engineering perspective? You said you like the biological machine. Is that a feature or a bug of the biological machine? It is both a bug and a feature. Evolutionary speaking, we only live as long as we need to to replace ourselves efficiently. If you're a mouse, you're only gonna live two and a half years, three years. You're probably gonna die of starvation, predation, freezing in the winter. So they divert most of their resources to reproducing rapidly, but they don't put a lot of energy into preserving their soma, which is their body. Conversely, a baleen type of whale, a bowhead whale in particular will live hundreds of years because they're at the top of the food chain and they can live as long as they want. So they breed slowly and build a body that lasts. We're somewhere in between because we've, you know, we've really only just come out of the savannas where we could be picked off by a cat. We were pretty wimpy going back 6 million years ago. So we actually need to evolve quicker than evolution will. And that's why we can use our oversized brains and intuition to give us what evolution not only didn't give us, but took away from us. Now we're pathetic, look at our bodies. These arms, if any of us, even the strongest person in the world went in a cage with a chimpanzee, the chimp could knock that person's head off, no question. So we're pathetic. So we need to engineer ourselves to be healthier and longer lived. So getting to aging, we can do better, right? Whales do way better. We're trying to learn how whales do that. And if you ask really anybody in the field now, professor, they'll say there are eight or nine hallmarks of aging, which are really, it's a word for causes of aging. So that you probably have heard of some of these, your listeners will have loss of telomeres, the ends of the chromosomes, like the little ends of shoelaces, that kind of thing. They get too short, cells stop dividing, become senescent. They become, they put out what are called mitogens that cause cancer and inflammatory molecules. So that's another aspect of aging, cellular senescence. Another one is loss of the energetic. So mitochondria, the battery packs wind down. There's a whole bunch, stem cells, proteostasis. Well, these are our Achilles heels that I'm talking about. They're a common amongst all life forms, really. But if you want me to jump to the chases to where, what is the upstream defining factor? If we boil it down, what do we get? So most biologists would say, you can't boil it down. It's too complex. I would say you can boil it down to an equation, which is the preservation of information and loss due to entropy, i.e. noise. And that is the basis of my research. It originally came out of discoveries in yeast cells, where I went to MIT in the 1990s. You studied bread. I kind of did. I studied the makers of bread, a little yeast called Saccharomyces cerevisiae, which at the time was one of the hottest, excuse the pun, organisms to work on. But we figured out in the lab why yeast cells get old and found genes that control that process and made them live longer, which was an amazing four years of my life. One of those genes had a name with an acronym SIR2. Now the two is irrelevant. The SIR is important. And the most important letter out of all of those three is I, which stands for information. Silent information regulator number two, when you put more copies of that gene in, just put in one more copy, the yeast cells lived 30% longer and suppressed the cause of aging, which was the dysregulation of information in the cell. And then, so fast forward to now, I've been looking in humans and mice, because they live shorter and cheaper to study, where the loss of information in our bodies is a root cause of aging. And I think it is. Your boldness in doing biology in this way is fascinating because that also leads to a kind of, it's almost like allows for a theory of aging, like you could boil it down to a single equation and it leads to a, perhaps a metric that allows you to optimize aging, sort of in the fight against entropy. I had to figure out which mechanisms, like you said, the silent information regulator, which mechanisms allow you to preserve information without injecting noise, without creating entropy, without creating degradation of that information. For some reason, converting biology, which I thought was mostly impossible into an engineering problem, feels like it makes it amenable to optimization, to solving problems, to creating technology that can, whether that's genetic engineering or AI, it makes it possible to create the technology that would improve the degradation of information and aging. Is there more concrete ways you think about the kind of information you want to preserve? And also, is there good ideas about regulators of that information, about ways to prevent the distortion, the degradation of that information? Right, so we have silent information regulator genes in our bodies. We have seven of them, SIRT1 through seven, they're called. And we found in mice, one way to slow down the loss of information is to just give more of these, to upregulate these genes. So we made a mouse that has more of this SIRT1 gene, turned it on, and that slowed down the aging of the brain and preserved their information. Now, what information am I talking about, you might ask? Well, again, you can simplify biology. There are two types of information in the cell primarily. The one we all read about and know about is the DNA, the genome. And that's base four information, ATCG, the four chemicals that make up the various sequences of the genome, billions of letters. And that also degrades over time. But what's been fascinating is that we find that that information is pretty much intact in old animals and people. You can clone a dog. One of my friends in LA just cloned his dog three times. So this is doable, right? It means that the genome can be intact. But what's the other type of information? It's the epigenome, the regulators of the genetic information. And physically, that's really just how the DNA is wrapped up or looped out for the cell to access it and read it. So it's similar to, and excuse this analogy, but it's a good one, a compact disc or a DVD. Those pits in the foil are the digital information. That's the genome. And the epigenome is the reader of that information. And in a different cell, you'd read different music, different songs, different symphonies. And that's what gets laid down when we're in the womb. And that makes a skin cell forever a skin cell and not a brain cell tomorrow. Thank God, otherwise our brains wouldn't work very well. But over time, what we see is that the brain cells start to look more like skin cells. And the kidney cells start to look more like liver cells. And what we call X differentiate. This is a term that we use in my lab, but isn't yet widely used. But we needed a term to explain this. And that process of X differentiation, the loss of the reader of the CD or the DVD, we liken that to scratches on the DVD so that the reader cannot fully access the information. Now we can slow down the scratches, as I mentioned. We can turn on these genes. We can even put in molecules into the cell or even eat them and turn on those pathways, which my father and I have been trying to do for about a decade to slow things down. But the question that I've had is, is there a repository of information still in the body? Because anyone who knows anything about the loss of information or even has tried to copy a cassette tape or photocopy or Xerox anything knows that over time, you lose that information irreparably. So I've been looking for a backup copy, inspired largely by Claude Shannon's work at MIT as well in the 1940s. His mathematical theory of communication is just brilliant. And so I've been looking for what he called the observer, which is the backup copy. We today might call that the TCPIP protocol of the internet that stores information in case it doesn't make it to your computer, it will fill in the gaps. And we've been spending about the last five years to try and find if there really is a backup copy in the body to reset the epigenome and polish those scratches away. That's incredible. So finding the backup, so whenever there are too many scratches pile up, you can just write a new version. Like write, not a new version, but go to the backup and restore it. Right, that's really all we're talking about. It's not that hard once you know the trick. And for people that actually remember like DVDs and scratches on them, how frustrating it is. That's a brilliant metaphor for aging. And then the reader is the thing that skips and then it could destroy your experience, the richness of the experience that is listening to your favorite song. Right, but in biology, it's even worse because you'll lose your memory, your kidneys will fail, you'll get diabetes, your heart will fail. And we call that aging and age related diseases. So most people forget that diseases that we get when we get old are 80 to 90% caused by aging. And we've been trying to fix things with band aids after they occur without even generally talking about the root cause of the problem. Is there the scratches, do those come from, are those programmed or are they failures? Meaning is it, so if it's by design, then there's like a encoded timeline schedule that the body's just on purpose, degrading the whole thing. And then there's the just the wear and tear of like the scratches on a disc that happen through time. Which one is it that's the source of aging? It's more akin to wear and tear, there isn't a program. Getting back to evolution, there's no selection for aging. We're not designed to age, we just live as long as we need to and then we're at the whim of entropy, basically. Second law of thermodynamics, stuff falls apart. We live a bit longer than age 40, only because there are robust, resilient systems, but eventually they fail as well. Current limit to the human lifespan where they completely fail is 122. But I don't like to think of it as wear and tear because there's two aspects to it. There's a system that's built to keep us alive when we're young, but actually goes, comes back to bite us as we get older. And we call this issue antagonistic pleiotropy. What's good for you when you're young can cause problems when you're older. So we've been looking, what is the main causes of the noise? And we've found two of them definitively. The first one is broken chromosomes. When a chromosome breaks, the cell has to panic because that's either gonna cause a cancer or kill the cell. There's only two outcomes, it's pretty much a problem. And so what the cell does is it reorganizes the epigenome in a massive way. What that leads to is, think of it as a tennis match or a ping pong game. The proteins are the balls and they now leave where they should be, which is regulating the genes that make the cell type, whatever it is. And they have a dual function, they actually go to the break, the chromosome will break and fix that. And then they come back. You might ask, well, why is it set up that way? Well, it's a beautiful system, it coordinates gene expression, the control systems with the repair. You want them coordinated. Problem is, as we get older, this ping pong game, some of the balls get lost. They don't come back to where they originally started. And that's what we think is the main noise for aging. And we've also, the other cause of aging that we found is cell stress, we damage nerves and they age rapidly. So that's the other issue. There's probably others, smoking chemicals, for example, we know accelerates biological age pretty dramatically. But the question is, can you slow that down or can you reset them to get those ping pong balls to go back to where they originally started in the game? And we think we've found a way to do that. Can you give me hints? Whose fault is it in the balls not coming back? Is it the proteins themselves? Like are they starting? Again, I've been obsessed with the protein folding problem from the AI perspective. So is it the proteins or is it something else? Well, we know who hits the balls and recruits them. So that the break is recognized by the cell. It's recognized by proteins who send out a signal through phosphorylation is typical way cells talk to other proteins. And that recruits those repair factors, those ping pong balls to the break. So the cells actively doing this to try and help itself, but we don't know who's to blame for them not coming back. That could just be a flaw in the quote unquote design. I don't think that there's something saying, well, 1% of you balls proteins never go back. I just think it's hard to reset a system that's constantly changing. We have in our bodies close to a trillion DNA breaks every day. And imagine that over 80 years, what damage that does to our epigenomic information. Now we know that this is, well, we never know anything in biology, but we have strong evidence that this is true because we can mess with animals. We can create DNA breaks and tickle them with a few breaks, maybe raise it by threefold over background levels of normal breakage. And if we're right, those mice should get old. And they do. We can actually, we've created these breaks in a way that's titratable. We can, it's like a rheostat. We can send it to 11. I drove my Tesla here, I'm a big fan of a spinal tap too, going to 11. If we go to 11, we can make a mouse old in a matter of months. We prefer to go to a level of about four and it gets old in 10 months. But it's definitely old. It's got all of the hallmarks of aging. It's got diseases. It looks old. Its skin is old. It's got gray hair. But importantly, we can now measure age by looking at the scratches. We can look at the epigenome, we can measure it and use machine learning to give us a number. And those mice are 50% older than normal. So you can replicate the aging process in a controlled way. You can, I mean, in a way that, I mean, you could accelerate it in a controlled way and measure how much exactly it's aging. And that gives you step one of a two step process to when you can then figure out, how can we reverse this? And now we're reversing those mice. Is there a good, I love what you said. I mean, in biology, you really don't know. It's such a beautiful mess. Is there ideas how to do that? Is that on the genetic engineering level? Is it like, what can you mess with? Is it going to the, trying to discover the backup copies and restoring from them? Like what's, if it's possible to convert it to natural language words, what are the ideas here? What is the observer and how do we contact it? Exactly. What's the observer and how do you contact? Or if there's other ideas, how to reverse the balls getting lost process. Yeah, well, you can slow it down. Slow it. But we found a reset switch recently. We just published this in the December 2020 issue of Nature. And what we found is that there were three embryonic genes that we could put into the adult animal to reset the age of the tissues. And it only takes four to eight weeks to work well. And we can take a blind mouse that's lost its vision due to aging. Neurons aren't working well towards the brain. Reset those neurons back to a younger age. And now the mice can see again. These three genes are famous actually because they're a set of four genes discovered by Shinya Yamanaka, who won the Nobel Prize in 2016 for discovering that those four genes when turned on at high levels in adult cells can generate stem cells. And this is, I think, well known now that we can create stem cells from adult tissue. But what wasn't known is can you partially take age back without becoming a tumor or generating a stem cell in the eye, which would be a disaster? And the answer is yes. There is a system in the body that can take the age of a cell back to a certain point, but no further, safely, and reset the age. And we're now using that to reset the age of the brain of those mice that we aged prematurely. And they're getting their ability to learn back. This is really exciting, right? Like what's the downside of this? Well, the downside is if you overdo it and you don't get it right, you might cause tumors. But we do it very carefully. And we also know that in the eye, it's very safe. We also injected these, we deliver them by viruses. So we can control where and when they get turned on. And in this paper, we've published that if we put high levels in the mouse, into their veins, throughout the body, they don't get cancer for over a year. So I'm so optimistic that we're going into human studies in less than two years from now. Is there a place where AI can help? Sorry to inject one of the things I'm very excited about and passionate about. So Google DeepMind recently had a big breakthrough with AlphaFold2, but also AlphaFold two years ago, with achieving sort of a state of the art performance on the protein folding problem, single protein folding. But it also paints a hopeful picture of what's possible to do in terms of simulating the folding of proteins, but also simulating biological systems through AI. Is there something to you, combined with this brilliant work on the biology side that you're hopeful about where AI can be a tool to help? Where isn't it a tool? I mean, if you're not using AI right now in biology, you're getting less and less likely to be left behind in biology, you're getting left behind. We use it all the time. We're using it to generate these biological clocks to be able to read those scratches. We're using it to predict the folding of proteins so we can target molecules and modulate their activity. We're using it to assemble genomes of different species. What else? We use it to predict the longevity of a mouse based on how it reacts to certain things, hearing, eyesight, generally frailty. We just put out a paper last year on that. The other thing we can use it for, which is a little off the track here, but we use it for predicting which microorganisms are in your body, actually not predicting, telling you. So our daughter, Natalie, was infected with Lyme disease a few years ago, almost went blind from it. And the test took four days. And I thought, just give me the DNA from her spinal fluid. I'll go tell you what's in it. If it's Lyme disease or not, they refused. And so at that point I said, this has to be done better. So I've started a company that now can take a sample of any part of your body. It's typically done now with liver transplant patients to detect viruses that come out of their organs. But that's another area that AI is extremely important for. I think if you're not, in five years, if you're not using deep learning, you've got a problem. Because the amount of data that we generate now as biologists is just terabytes. It can be terabytes per week. It'll eventually be terabytes per day. And then we just go from there. And I actually have trouble recruiting enough bioinformaticians. A lot of our work is now just number crunching. A part of that is collecting the data, which is kind of something we've talked a little bit about. But is there something you can say about how we can collect more and more data, not just on the one person level, like for you to understand your various markers, but to create huge datasets to understand how we can detect certain pathogens, detect certain properties, characteristics of whether it's aging or all the other ways that the human body can fail. It seems like with biology, there's a kind of privacy concerns that, well, actually not privacy concerns, it's almost like regulation that kind of prevents hospitals from sharing data. I'm not sure exactly how to say it, but it seems like when you look at autonomous vehicles, people are much more willing to share data. When you look at human biology system, people are much less willing to share data. Is there a hopeful path forward where we can share more and more data at a large scale that ultimately ends up helping us understand the human body and then treat problems with the human body? So we are right in the middle, we're living through what's gonna be seen as one of the biggest revolutions in human health, through the gathering of data about our bodies. And 20 years ago, people didn't wanna go on social media, they're worried about it, now you have to, if you're a kid, that's for sure. Same with medical records, these are becoming all digitized and expanded. Ultimately, we're going to, even if we don't want to, have to be monitored. There's gonna be a court case that, I bet two, three years from now, someone's gonna say, how come my father died from a heart attack? You had these biosensors, 20 bucks, and you didn't use it. Lawsuit right there, and suddenly, all hospitals have to give you one of these. There'll be a reversal, like to where, it's your fault if you don't collect the data, that's brilliant, and that's absolutely right. I mean, that's absolutely right. That's the frustration I feel on going to the doctor, is like, it's almost negligent to not collect the data, because you're making, there's something really wrong with me, and you're making decisions based on very few tests, that's almost negligent, when you have the opportunity to collect a huge amount more data. Well, let me tell you something. Like, I've got this inside tracker data for myself over a decade, and you'd think my doctor would roll his eyes at this, oh, he's gone to a consumer company, blah, blah, blah. I had my first checkup in a year with him through video conference, and he was running blind. He really didn't know what was going on with me. He asked the usual things. How am I sleeping? How am I eating? These kind of usual things. And I said, well, I've got new tests back from inside tracker, and he said, great, I'd love to see them. So I share screen, and we look at the graphs, look at the data, and he's loving it, because he cannot order these tests willy nilly. So I said, well, let's order a HbA1c blood glucose levels, because I'm very interested in that. That tracks with longevity. And he said, well, I have no reason to order that. Do you have a family history? No. Do you have any symptoms of diabetes? No. Well, I can't order the test. I almost wanted to reach through the computer and strangle him, but instead, I pay a little bit to get these tests done, and then he looks at them. So that's now the way consumer health is going, is that you can get better data than your doctor can, but they'd like you to do that. Quick human question, maybe you can educate me. I think doctors sometimes have a bit of an ego. I understand that the doctors super experience a lot of things, but this is a fundamental question of human variability. Like, I know a lot of specific details about like, I mean, it depends, of course, what we're talking about, but I bring a lot of knowledge, and if I have data with me, then I have like several orders of magnitude more knowledge. And I think there's an aspect to it where the doctor has to put their expert hat, like take it off and actually be a curious, open minded person and study and look at that data. Do you think it's possible to sort of change the culture of the medical system to where the doctors are almost, as you said, are excited to see the data? Or is that already happening? It's really happening. Now, we've probably lost the last generation. They're no hopers, but so I teach at Harvard Medical School and they're excited about this. They're excited about aging, which is a new aspect to medicine. Oh, wow, we can do something about that. And then, yeah, all this data, what do we do with it? There's still the traditional pathology and all that stuff, which they need to know, but time will change their mindset. I'm not worried about that. And like we were discussing, this isn't a question of if, it's just a matter of when. And I have a front row seat on all of this. I had breakfast with a CEO who is making this happen just yesterday. I can tell you for sure that most people have no idea that this revolution is occurring and is happening so quickly. If you're running a hospital and you can save $2,000 per cardiac patient, what are you going to do? You have to use it. Otherwise, the hospital down the road is going to be beating you. And there are large hospital aggregations, so there's Ascension and others, that just have to go this way for budgetary reasons. And right now, the US spends 17% of their GDP on healthcare. Let's say one of these buttons on my chest costs $20. It's rechargeable. And it can predict people's health and save on antibiotics to prevent heart attacks. How many billions, if not trillions of dollars, will that save over the next decade? Yeah, so when the public wakes up to this, they'll almost demand it. Like, this should be accepted everywhere. This is obvious. It's going to save a lot of money. It's going to improve the quality of life. Well, and the CFOs of hospital groups will have to. And insurance companies are going to want to get in on this. So now that gets to privacy, right? Should an insurance company have access to your data? I would say no. But you could voluntarily show them some of it if they give you a discount. And that's also being worked on right now. I hope we do create kind of systems where I can volunteer to share my data and I can also take the data back, meaning like delete the data, request deletion of data. And then maybe policy creates rules to where you can share data, you could delete the data. And I think if I have the option to delete all my data that a particular company has, then I'll share my data with everyone. I feel like if, because that gives me the tools to be a consumer, an intelligent consumer, of awarding my data to a company that deserves it and taking it back when the company is misbehaving. And in that way, encourage, as a consumer in the capitalist system, encourage the companies that are doing great work with that data. Well, yeah, healthcare data security is number one. On my mind, InsideTracker made sure that that was true. But these buttons on your chest, there's very private stuff they can probably tell if you're having sex one night, right? So this is not the kind of stuff you want leaked. So I don't know whether it's blockchain or something. Speak for yourself. I want this public. The live stream. I guess it depends on how you go. But there's a lot of stuff you don't want out there. And this definitely has to be number one because it's one thing to have your credit card information stolen, it's another thing your health records are permanently out there. Yeah. So there's, on the biology side, super exciting ways to slow aging. But there's also on the lifestyle side. I recently did a 72 hour fast. It's just an opportunity to take a pause and appreciate life. Think about, there's something about fasting that encourages you to reflect deeper than you otherwise might. The time kind of slows. And you also realize that you're human because your body needs food. And you start to see your body's almost as a machine that takes food and produces thoughts. And then ends briefly. I mean, you start to, depending who you are, if you're like engineering minded, you start to think of this whole thing as a kind of, yeah, as a machine. And then also feelings fill this machine. Feelings of gratitude, of love, but also the uglier things of jealousy and greed and hate and all those kinds of things. You start to think, okay, how do I manage this body to create a rich experience? All of that comes from fasting for me. Anyway, but there's also health benefits to fasting. I intermittent fast a lot. I eat just one meal a day most of the time. Is there something you could say about the benefits of fasting in your own life and in general the anti aging process? Well, you're a philosopher too. Sorry, I apologize. No, I'm impressed. True Renaissance man. It's a joy to be here. So when it comes to fasting, this is, being abstemious is one of the oldest ways to improve health. Probably they knew this 5,000 plus years ago. So that's not new. But what we're figuring out is what is optimal and how does it work? And one of the things we help contribute to, which I can speak to with some authority is that these longevity genes we work on, we showed back in the early 2000s are turned on by fasting. And at least in yeast, we were the first to show that how calorie restriction fasting works to extend lifespan. And that was the first for any species. Something similar happens in our bodies. When we're hungry or put our bodies under any other perceived adversity, such as running, our bodies think, wow, we're getting chased by a saber tooth cat or something. If we're really hot or cold, these probably also work. To put our bodies in this defensive state, to activate these genes in the way that whales do and mice don't. And so hunger is the best way to do that. In fact, I don't think you have to feel hungry. You can get used to it. But if there was one thing I would recommend to anybody to slow down aging would be to skip a meal or two a day. Now it doesn't mean you don't have to live well. You can go out. I go to restaurants, I eat regular food. I try to be as healthy as possible. But I've gone from skipping breakfast most of my life now just skipping lunch as well. And I have my physique back that I had when I was 20. I feel 20 mentally. I'm much sharper. I don't feel tired anymore. I sleep well. So I'm a huge fan of the one meal a day thing. Where I'm not good at is going beyond one day. But if you do three days. Have you ever fasted longer than 24 hours? I tried doing two days. I might have made it to the third and given up. I just find that I'm not very, I don't have a lot of willpower. I also hate exercise. So I'm not sure how long I'm gonna live. But I've managed to do one meal a day. So if I can do that, seriously, anybody can do that. To your listeners and viewers, I would say, don't try to do it all at once. You can't go from snacking and eating three meals a day to what I do easily. Work your way up to it, but also compensate with drinking. If you like tea, if you like coffee, put some milk in it. That's fine. You can fill your stomach up with liquids, diet sodas, I get criticized for drinking, but I'm gonna continue to have those. But then I power through the day. I definitely don't feel tired. I don't have a lag anymore. But also give it at least two weeks because there's a habit as well. Having something in your mouth, chewing, feeling that fullness, you can break that habit. And within two, three weeks, you'll have done it. Absolutely. So I'm not actually even that strict about it. You said diet soda. Yeah, people are very kind of weirdly strict about fasting, the rules in fasting. Like for example, I drank Element electrolytes when I was fasting, and that has like five calories. And so technically it's not fasting. Or people will say like, if you drink coffee, there's caffeine, and they'll say that's technically not fasting because there's some kind of biological effects of caffeine, but whatever. Of course, there's like biological benefits that you can argue about, but there's also just experiential benefits. Just calorie restriction broadly has a certain experience to it that, like for me personally, just as you said, has made me feel really good. That said, especially, I've gained quite a bit of weight, maybe even like 15 pounds, something like that, since I moved to Austin, Texas. And I still keep the same diet, but I eat a lot of meat in that one, just because it's delicious, because it's also the amazing people I met in Texas. It's just there's like a camaraderie, a friendship, a love to the people that like makes you really enjoy the atmosphere of eating the brisket and the meat. Is this Joe Rogan insisting? Joe is, I mean, he's very different. Joe loves bread and pasta. Like he knows that his body feels best doing keto or carnivore. So that's what he usually tries to stick to, but he also does not hold back, and he'll just eat pasta when he eats pasta, and he sort of enjoys life in that way. I can't, I don't know how to enjoy life in that way. I also love pasta, but I'm just not going to enjoy it, because I know my body ultimately does not feel good with pasta. So it's a funny kind of dichotomies. I would like to cheat, I guess, by eating more meat than I, you know, like overeating on the things that I know my body feels good on as opposed to eating stuff I shouldn't, like cake and all those kinds of things. I tend to find happiness in overeating the good stuff versus eating the bad stuff. And that's the kind of balance. Him, he's like, fuck it. Every once in a while, you gotta enjoy it. And then also coupled with that for him is just exercise, like then face his demons the next day and just like burn a huge amount of calories, which is, I mean, whatever's up with that guy's mind, there's an, there's a ability to fully experience life, which is represented by the pasta, and the ability to just like fight the demons, which is represented by all the crazy kettle balls and running the hills and all this kind of stuff that he does. That takes a lot out of you doing that kind of insane exercise. And I think I'm more like you, or at least towards your direction is like, I really hate exercise. So I do it, but I really hate it. And so it's a balance that you have to strike. Is there something you could say about the diet side of that for you personally, but in general, in order to achieve calorie restriction, like for me, eating, I know it may not sound healthy, but eating carnivore, eating mostly meat has been, has made me feel really good, both mentally and physically. Is there something you could say about the kinds of diets that may improve longevity, but also enable calorie restriction? Well, sure. I mean, the first thing that's important to know is that while many people are interested slash obsessed with what they eat, the data that's come out of animal studies at least is it's far more important when you eat than what you eat. And this was a fantastic study a few years ago by my friend, Rafael de Cabo at the National Institutes of Health in Bethesda. And he had 10,000 mice on different diets, hoping to find the perfect mix of carbs, protein, and fat. And it turns out that the only ones that lived longer are the ones that only ate once a day. And so that, if we're not mice, but I think that we're close enough to mice that this tells us a lot. But okay, but I still think the best bang for the longevity buck is to do both well, eat less often and eat the right things. Now I'll preface this to say, I'm not a nut about this. I will eat occasional, very occasionally a dessert. Usually I steal from others, which doesn't count, right? Exactly. But you gotta live life, right? What's a long life if it's not enjoyable anyway? But what I also found, and this is, I'll get to your question in a second, but my microbiome right now and stomach is at a point where if I try to overeat on a steak, which I did a couple of days ago, I actually had a chicken, a fried chicken specifically, for two days, I felt terrible. I couldn't sleep, it wouldn't go down. So I'm now at a point where even if I want to binge on meat and fried foods, I just can't, it just feels bad. But what do I recommend? Well, what the data says, which I try to follow, is that plant based foods will be better than meat based foods. And I know that there are a lot of people who disagree. But one of the facts is, well, there's a few facts. One is that people who live a long time tend to eat those type of diets. Mediterranean, Okinawa diet, they're eating mostly plants with a little bit of meat and not a lot of red meat. And the other fact is that in animals we know that there's a mechanism that's called mTOR, little m, capital TOR, that responds to certain amino acids that are found in more abundance in meat. And when it responds, it actually shortens lifespan. And the converse, if you starve it of those three amino acids, mostly in meat, then it extends lifespan. And there's a drug called rapamycin, which some people are experimenting with, that does that. So you might be able to, I'm just saying this here from all my colleagues, we don't know the results here, but you could potentially take a rapamycin like drug and counteract the effects of meat in the long run. Dono, we should try that actually, we could do that in the lab. But getting to the bottom of this, what I think is going on is that just like testosterone and growth hormone, you will get temporary, maybe not temporary, immediate health benefits. You'll feel great, you'll get more muscle energy. But the problem is I think it's at the expense of longterm health and longevity. Well, this is actually something I worry about

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