Incoming AP late 2026 (location TBD) | K00 Postdoc Wyss-Coray @Stanford & Baker lab @UWproteindesign | Bio PhD & CS MS @Harvard | BoA Consortium core
Stanford, CA
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Your biological age should NOT be ONE number.
Introducing Ageome: our new framework that measures aging across thousands of molecular pathways simultaneously 🧬. Ageome challenges the single-number paradigm of biological age, offering a high-dimensional view of aging across biological functions.
Check out our new preprint here doi.org/10.1101/2024.09.17.6…
I will also present it on @cshlmeetings tomorrow!
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🎉 Thrilled to share our work in @NatureComms! We found centenarians have (slightly) fewer harmful genetic variants - suggesting depletion of damaging mutations contributes to exceptional longevity. Incredible collaboration with @NirBarzilaiMD, @ZhengdongZhang Sofiya Milman @EinsteinMed + @harvardmed @gladyshev_lab @JPCastro_Aging @AnastasiaShind @LudgerGoeminne @mahdi_moqri and others!
nature.com/articles/s41467-0…
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Just found out that I received a perfect score from @NIH_OSP F99K00 award for my proposal on advancing aging research with a completely new category of interventions strategy.
And today is the first day in Chinese new year. Couldn’t ask for more, Happy Chinese New Year! 🎉
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🧬 Our 2nd preprint today,
MethylGPT: A foundation model for the DNA methylome!
Our generative pretained transformer-based model:
- Trained on 226,555 samples (154,063 after QC & deduplication)
- 49,156 curated CpG sites
- 7.6B training tokens
- Spans 20+ tissue types from 5,281 datasets
Key achievements:
- Robust methylation prediction (Pearson R=0.929)
- Maintains performance with up to 70% missing data
- Superior age prediction accuracy vs existing methods
- Disease risk prediction across 60 conditions
The model captures both genomic and biological context without external supervision.
Analysis reveals distinct methylation signatures between young & old samples, with developmental vs aging pathway enrichment.
Big thanks to the team:
@HAOTIANCUI1
@jinyeop_song
@VadimGladyshev
@BoWang87
@mahdi_moqri
@jpoganik
@alec_eames
@MarioniGroup
@gladyshev_lab
@BrighamWomens
@harvardmed
Read full text here: biorxiv.org/content/10.1101/…
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Excited to share our new preprint! We looked into causal relationship between DNA methylation and aging. We built the causal epigenetic clocks that separate age-related damage and adaptation. I will present this work @metabesity next Monday. Check it out! biorxiv.org/content/10.1101/…
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Excited to share that I'm joining @wysscoray lab @Stanford & Baker lab @UWproteindesign as F99K00 Postdoc fellow!
Merging aging biology + protein design to tackle neurodegeneration. Let's build the next generation of therapeutics! 🧬
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I just warped up my ggplot2 settings in my .Rprofile, and made a new #R package to set up #ggplot2 with a better default, with a single function, no extra code.
{ohmyggplot}📦
Before 👉oh_my_ggplot() 👉 After
#DataViz #rstats #tidyverse
github.com/albert-ying/ohmyg…
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Today we released the open beta of the online platform Clockbase.org, where we make the epigenetic age of ~300k samples from GEO available to everyone!
You can easily explore your disease/treatment of interest and determine its effect on #aging in just a few clicks! 🧵
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When your NIH grant review reads like a recommendation letter 😭😭😭
To anonymous reviewers: your support and encouragement mean the world to early-career researchers like myself. Your kindness and constructive feedback are deeply appreciated! 🌟
#AcademicTwitter #GrantWriting #NIHGrants
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🎉 The results are in! Here is the preprint reporting the result of Phase I of the Biomarkers of Aging Challenge, an open competition for the best biomarker of aging models with a 200,000 USD prize! @agingbiomarkers
🏆Big congrats and thanks to our phase I winners (Julian, Lucas, Jacob, and Stefan) as well as all 37 participating teams!
We will update the manuscript in the upcoming month to include details on Phase II results. Congrats, Jacob's team, for winning Phase II! 🏆
Thanks to our amazing team: @Sarudak, @chiara_herzog, @DaneGobel, @jpoganik, @mahdi_moqri, @gladyshev_lab, & others.
Read more here: biorxiv.org/content/10.1101/…
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Glad to see our causality-enriched clock paper featured as the cover of the February issue of @NatureAging !
In the paper, we explore the causal effects of DNAm on aging, analogous to the falling of Dominos.
Read the full paper here: nature.com/articles/s43587-0…
🗞️ Our February issue is out! 🎉 Read about necroptosis and HSC aging, the effects of neuronal autophagy on lifespan, causality and scalability of epigenetic clocks, senescence, plasma dementia markers and so much more. nature.com/nataging/volumes/…
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Officially Dr. Ying! Successfully defended my PhD @harvard this week, marking 5 incredible years with @gladyshev_lab. Deeply grateful to Vadim and the entire team for their mentorship on this journey, as well as all of my collaborators and peers! Excited for the next chapter!
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Super excited to present our recent work on epigenome-wide Mendelian Randomization & aging nature.com/articles/s43587-0… at today's Molecular Epidemiology Meet at the University of Bristol, @mrc_ieu, 2pm UK time! 🚀
Huge thanks for the invite @thatsuderman& @mendel_random, I'm looking forward to the discussion!
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Guess who has the most poster presentations in @cshlmeetings Mechanisms of Aging?
(Yes, I'm presenting 4!)
If you are around, let's talk about Biolearn and our work at @agingbiomarkers / causal clock and clockbase / centenarian genome / and ageome!
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🔥🔥🔥Join us this Wednesday afternoon at @HarvardGSAS! @jpoganik @agingbiomarkers, @jinyeop_song and me will talk about our recent work on #aging biomarkers and AI.
This is a hybrid event and food is provided.
GSAS Engage Sign-up: engage.gsas.harvard.edu/even….
Non-harvard participant：harvard.zoom.us/meeting/regi…
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Fellow aging researchers: I'm looking to connect with leading labs working on interventions targeting advanced glycation end products (AGEs). Specifically interested in directed approaches beyond general AGE inhibitors. Who's doing the most innovative work in this space?
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What a conference @agingbiomarkers @harvardmed !
So humbled and grateful to be able to work with such an amazing community that shares the same goal.
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UW's hiring freeze continues (including postdoc positions), while Stanford has implemented a partial freeze (fortunately excluding postdocs). With my thesis defense less than 3 weeks away, I'm not sure how my postdoc journey can be started as planned.
It is a tough time.
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Just learned that I won the poster award @GordonConf Systems #Aging! 🤯🤯🤯
It was a shame that I left before the last day -- it was a fantastic conference with the best people in the field.
Additional thanks to my labmates @gladyshev_lab for bringing my award back to my desk!
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🥳Glad to see my short perspective @NatureRevGenet is out today! In this piece, I discussed the application of genetic-based causal inference to identify true causal factors in aging, which may help develop more reliable biomarkers or interventions.
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🚀Glad to see our project on high-dimensional age profiling is listed as semifinalist at Harvard Innovation Labs President’s Innovation Challenge!
Looking forward to meeting other teams @innovationlab at 3/26!
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Congratulations David @UWproteindesign !
This picture was taken last year during my postdoc interview. Extremely lucky to have him as my postdoc co-mentor next year!
#proteindesign #NobelPrize2024
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Great article @NatureBiotech on measuring #aging and rejuvenation, featuring our #ClockBase platform. nature.com/articles/d41587-0…
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Immensely shocked and saddened by the sudden loss of Judith Campisi. Our last email exchange was just last month, where I expressed my gratitude for her support throughout my career - glad I did that. Her impact as a mentor and leader in aging field is irreplaceable. RIP, Judy 🕯
I'm deeply saddened to share that we have lost a remarkable friend, a wonderful mentor and esteemed colleague, Judith Campisi. Judith's impact on those around her was profound and lasting. Her legacy will continue to inspire us all. Rest in peace, Judy. You will be greatly missed
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It was a great conference! Sharing the first few slides from my #AGE2023 talk here. As epigenetic #aging clocks become increasingly accessible, it's critical for everyone to understand and evaluate these results carefully.
Session 6. Utility and limitations of epigenetic clocks at #AGE2023 with @OcanasSR & @Alice_E_Kane.
Speaking: @VadimGladyshev @gladyshev_lab, Hunter Porter, @ZaneKoch6, @DrDorotaSK, @KejunYing 👏
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If you are around Boston next week, don’t miss my PhD defense seminar @Harvard! It will be held at Harvard New Research Building Room 350, 1-2 pm, Monday Mar 24th.
Everyone is invited and I will check you in downstairs 30min before the event! See you there next week!
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6 years ago, as an undergrad, DAP led me to intern in Matt’s lab, marking a pivotal moment in my journey into the field of #aging. This project isn’t just a cornerstone of scientific research; it’s a key to engaging public interest in our field. Please take actions and save it!
Help save the Dog Aging Project.
Despite being one of the most influential, productive and impactful NIH supported projects over the past 5 years, the National Institute on Aging has inexplicably chosen to withdraw support for the Dog Aging Project. For now, I’m won't get into the details of the process or my personal feelings about it, as the important thing is to ensure the Dog Aging Project doesn’t end. If you believe that the Dog Aging Project has value and should continue, I have three requests of you:
(1) Please consider signing the petition to the NIH Director here: actionnetwork.org/petitions/…
(2) Please consider sending an email to your elected representatives here: actionnetwork.org/letters/su…
(3) Please share this message with your network as broadly as you can
Thank you!!!
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Still stuck in the airport due to the unfortunate situation. BUT I’m still presenting on the legendary #ARDD2023 this Wednesday about the causal aging biomarker and #ClockBase! Stay tuned!
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I am speaking at American Aging Association: Current Topics Leading Research in Aging. Please checkout the details of my talk at: whova.com/xems/apis/opengrap…
See you there! #AGE2023 @americanaging
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Had the honor of presenting the cutting-edge intersections of #aging and #ai to the youth in Shanghai, thanks to @HarvardChanSPH & @LimingLiangHSPH. The passion from these high school students was palpable! Grateful to collaborate with mentors like Zeqiu, @buutrg & @_YuxiLiu.
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Exciting breakthrough in fibrosis treatment! AI-discovered TNIK inhibitor INS018_055 shows promising anti-fibrotic & anti-inflammatory effects in preclinical models. Phase I trials confirm safety & PK in healthy volunteers. Huge potential for treating IPF. #fibrosis #drugdiscovery @biogerontology
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models go.nature.com/3IvPOuI
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Few thoughts: there were two separate studies showing that mutation rate and methylation rate both showing the scaling law with maximum longevity in mammals.
If somatic mutation is indeed one of the main driver of epigenetic aging, maybe we just need to design better DNA-repairing protein and higher fidelity DNA polymerase.
WHY DOES THE EPIGENETIC CLOCK TICK?
While money has been poured into developing therapies to reverse the epigenetic clock (@altos_labs 🤑), why the epigenome changes with age at all is unclear.
In @NatureAging today, we suggest a potential driver: somatic mutations.
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And hey, guess who won the 1st poster prize at Biomarker of Aging Symposium @agingbiomarkers at @BuckInstitute 😋😋😋
Deeply grateful 🙏 I might be biased but I think this is one of the best #aging conference this year!
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Excited to share that our recent study on causality-enriched aging clocks has been highlighted in the @Harvard Gazette. Our findings open new avenues for anti-aging interventions assessments. Dive into the full story here: news.harvard.edu/gazette/sto…
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This Monday at the 1st Biomarkers of Aging Symposium @agingbiomarkers, we announced the #BioLearn, an open-source library for aging biomarkers! It simplifies research with centralized datasets and single-line-of-code implementation. Check it out at Bio-Learn.github.io (1/3)
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🚀We released our training dataset for methylGPT, comprising 226,555 human DNA methylation profiles from 5,281 datasets - the largest training data set available for DNA methylation!
Check our GitHub repo github.com/albert-ying/Methy…
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Today, instead of preparing my presentation slides for next week, I randomly decided to restyle all my slides to dark mode.
One thing bothers me is that how I restyle my figures to dark version (I certainly don't want to remake them). A simple inversion will also inverse the color (i.e., blue to red), which is undesirable.
So, I dived into the rabbit hole and finally found a way to do that by inverting only the brightness but keeping the hue.
Anyway I don't know who needs this (maybe no one 😀), but I put the scripts on the GitHub github.com/albert-ying/Image…
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Visiting @OptispanPodcast and @OraBiomedical today! Feels like a Kaeberlein lab reunion. Super excited about potential collaborations ahead! High-throughput intervention-lifespan data holds the key for next-gen interventions in this large model era.
@mkaeberlein @mitchellblee33 @benblueAK
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We applied Ageome to longevity interventions like calorie restriction and parabiosis. Result? Distinct patterns of pathway-specific age deceleration. Each intervention has its own aging fingerprint!
Surprise finding: iPSC reprogramming showed both rejuvenation AND acceleration in some pathways. Turns out, cellular reset isn't as simple as we thought!
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🚀
🧵 1/6 In this landmark collaborative study, several Consortium colleagues, including @KejunYing, @mahdi_moqri, & @gladyshev_lab, explored molecular mechanisms of aging and mortality using RNA-seq analysis on mice treated with 20 compounds, utilizing 4,000+ mouse tissue samples.
ALT Gene expression signatures reflect molecular mechanisms of mammalian aging, maximum lifespan, and mortality. For more detailed information, visit the link to the pre-print at the end of this thread.
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Thrilled to see the publication of our review in @NatureMedicine with @agingbiomarkers! It's an honor to collaborate with such an outstanding team of co-authors.
Great job @mahdi_moqri @chiara_herzog @jpoganik and the rest of the team!
🆕 In this Nature Medicine Review article released just a few hours ago, Consortium members and contributors review current efforts to evaluate the predictive validity of omic biomarkers of aging in population studies, discuss challenges in comparability and generalizability and provide recommendations to facilitate future validation of biomarkers of aging.
🎯 Biomarkers of aging have the potential to revolutionize healthcare, shifting focus towards holistic prevention and expanding healthy lifespan. Their validation is key to turning them into practical tools for clinical use and public health improvement.
🌐 The Consortium previously proposed a framework for aging biomarker classification in our Cell publication. We now focus our attention and efforts on the validation of biomarkers of aging for clinical translation. Systematic validation can accelerate clinical translation of biomarkers of aging and their use in gerotherapeutic clinical trials. For successful validation, collaboration between scientists and clinical investigators is essential.
Learn more about the current status of validation efforts, their challenges and associated recommendations in our latest article, available for all to access - a Valentine's Day present for the entire geroscience community ❤️ bit.ly/boa-validation
🙏 Many thanks to all those who had contributed to our latest publication, including: @mahdi_moqri, @chiara_herzog, @jpoganik, @KejunYing, @j_n_justice, @Danbelsky, @AlbertHC28, @drbrianchen, @cohenaginglab, George Fuellen, @HaggSara, @MarioniGroup, @WidschwendterM, @kpfortney, @fedichev, @biogerontology, @NirBarzilaiMD, @lasky_su, Douglas Kiel @harvardmed, @BKennedy_aging, Steven Cummings of @UCSF, Eline Slagboom of @UniLeiden, @EricVerdin, @AndreaBMaier, @SebastianoLab, @SnyderShot, @gladyshev_lab, @prof_horvath, & Luigi Ferrucci of @NIHAging
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Happening today! Excited to discuss some of the most fundamental aspects of biological age that I haven't shared publicly before!
If you are around Boston next week, don’t miss my PhD defense seminar @Harvard! It will be held at Harvard New Research Building Room 350, 1-2 pm, Monday Mar 24th.
Everyone is invited and I will check you in downstairs 30min before the event! See you there next week!
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Two weeks ago, we low-key updated our manuscript on introducing the unified framework for systematic curation and evaluation of Aging Biomarkers based on Biolearn. As a collective effort, with
@agingbiomarkers
biorxiv.org/content/10.1101/…
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An impressive collaboration featuring key experts in the field of #aging. Honored to have the chance to help a little to this and the follow-up work. Kudos to @mahdi_moqri, @chiara_herzog, and @jpoganik for their efforts! Well done!
🎉 1/8 We are thrilled to unveil our inaugural publication, now available in Cell. This achievement marks a significant milestone resulting from our collaborative endeavors with prominent leaders in aging, contributing to the Biomarkers of Aging Consortium.
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Thank you @EricTopol for sharing our work on MethylGPT!
Few months back @biogerontology also released a LLM-based model for aging @precious_gpt .
Such an exciting time to be in the field!
Now there's 2 large language of life (LLLMs) foundation models of DNA methylation and aging!
Notable contributions from @BoWang87 (with summary below on how they complement each other), @VadimGladyshev, and colleagues including @prof_horvath @rv_sehgal @HAOTIANCUI1 @KejunYing @gladyshev_lab @ollimacsacul
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My humble opinion is that the standards of most industry jobs are so low that they don't require the skillset of a PhD. However, for those with higher standards and leading their fields, a PhD can be very useful.
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📦☕️A tiny Saturday contribution to the #RStats #ggplot2 community. Have some fun with some Mocha or Latte from @catppuccintheme in your next plot!
github.com/albert-ying/catpp…
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Excited to see this nice commentary written by @Danbelsky on our recent causality-enriched clock paper on @NatureAging. Read it here nature.com/articles/s43587-0…
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“we must face the elephant in the room: We lack any semblance of a consensus on the nature of aging or, more fundamentally, on the essence of this process”. A nice piece written by @jpoganik and @VadimGladyshev
Pleased to share an opinion piece I wrote with @VadimGladyshev just published in @PNASnews. We discuss what I consider to be the most pressing (and interesting!) question in the field: what is aging?
doi.org/10.1073/pnas.2307449…
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“Reinventing the science of aging” 😂😂😂
She’s reinventing the science of aging.
Meet Julie Clark: the 56-year-old whose biological age clocks in at 36.
She’s outpacing Bryan Johnson, the $2M-a-year biohacker, on a mere $4/day.
Here's her simple anti-aging routine for peak health and lasting longevity: 🧵
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Happy to see that this piece with @ziliwang0616 is out at the World Economic Forum @wef.
In this short article, we discussed several recent scientific progress by us and our collaborators @agingbiomarkers. In short, we believe that the future aging measurement should not be a single number -- the idea we are trying to deliver in our recent preprint on Ageome.
Read more here: weforum.org/stories/2024/11/…
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Glad to see our methylGPT is featured on this amazing opinion piece on @ScienceMagazine by @EricTopol
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🚀Honored to contribute to this gigantic piece as co-first author.
Shout out to @Yu_Xuan_Lu, Qiang Fu, and @DomiWilczok who did the most of the heavy lifting and @biogerontology , @ScheibyeKnudsen and Daniela Bakula for leading the project!
Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity
@Yu_Xuan_Lu, Qiang Fu, @DomiWilczok, @KejunYing, @ScheibyeKnudsen, Daniela Bakula and coauthors including labs on X: @AaronLongevity, @AntebiLab, @amoskalev, @AndreaBMaier, @groth_anja, @BrunetLab, @antonkulaga, @schumacherbj, @BKennedy_aging, @ctmurphy1, @CollinEwald, @dariovalenzano_, @Meyer_DH, @davidasinclair, @EmmaTeeling1, @FFinger_, @gblander1, @joshuamcclure, @JamesPeyer, @j_n_justice, @BaurLab, @MannickJoan, @JohnSpeakman4, @bettslacroix, @john_sedivy, @kpfortney, @MarcoQuarta12, @m__marinova, @MarkHamalainen, @MaxUnfried, @M_S_Ringel, @NirBarzilaiMD, @paulkhls, @fedichev, @RobKonradcom, @WickstromLab, @sebastian_gero, @StefanieDimmel1, @timrpeterson, @TinaWoods, @wysscoray, @VarunDw, @VickyAcostaR, @Vinz_Sorrentino, @biogerontology
The @AgingJrnl cover features Figure 3 from: "Integration of AI, biomarkers and clocks, geroscience, and longevity medicine in advancing human healthspan" from Lyu et al 👇👨⚕️
aging-us.com/article/206135/…
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Where will be the best place for early career scientists to do basic research in the next 10 years?
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Hot take: all biographies should be written in reverse chronology, to inspire more people to work on aging.
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Excited to present our recent work on DNA methylome foundation models 🧬 at @KeystoneSymp next Tuesday! Looking forward to learning from everyone at #KSaging25
Join @TheWebbLab @DrMorganLevine @dariovalenzano_ @BuckInstitute this February in Breckenridge, CO, USA. Submit your abstracts and/or scholarship applications by November 14th (11:59pm MST) to be a part of this groundbreaking conference. hubs.la/Q02WvWSQ0 #KSAging25
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Excited to share my discussion with @EverythingEpi on the Everything Epigenetics podcast. We explored our recent study on DNA methylation sites that causally influence aging (nature.com/articles/s43587-0…), introducing the DamAge and AdaptAge models.
#aging #epigenetics
🧬Episode 23: Causal Epigenetic Age Uncouples Damage and Adaptation with @KejunYing
Listen here - open.spotify.com/episode/4Ip…
Read his paper in @NatureAging here - nature.com/articles/s43587-0…
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In the human cohort, Ageome outperformed existing clocks in predicting age-related diseases, especially cancers -- highlighting the age-acceleration in mitosis and apoptosis pathways.
This could change the way we use the aging clocks in clinical settings, i.e., we have different clocks indicating the risk of different diseases!
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There are a lot more in the paper that I wouldn't go through here. Big thanks to our coauthors @mahdi_moqri @jpoganik @VadimGladyshev (and many who are not on X). Also, thanks to the amazing people in @gladyshev_lab and @agingbiomarkers for the suggestions!
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And for anyone who missed my talk, here is the recording!
piped.video/Tm7AtwLywEg?si=OdXa…
Officially Dr. Ying! Successfully defended my PhD @harvard this week, marking 5 incredible years with @gladyshev_lab. Deeply grateful to Vadim and the entire team for their mentorship on this journey, as well as all of my collaborators and peers! Excited for the next chapter!
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I think one thing future smart people need to realize before choosing the field is that human probably need more than 100 years of learning time to really understand the deeper principles of physics. Lifespan extension will be a basis for next-level understanding to our universe
Peter Thiel said that the lack of progress in biology is partially due to a lack of talent.
I think this makes sense. Something about biology's non-technical nature + people's inability to tinker w/biology outside of a lab/PhD make the smartest people select other fields.
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Just crafted a step-by-step guide for Clockbase! 🕒✨
Check it out here: piped.video/yuaMmSBt0VE
(This Twitter is generated by #GPT4)
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One way to explain it is that shorter-lived species may have evolved higher mutation rates:
1. They die before genomic damage has consequences in the wild, therefore just lose that maintenance ability during evolution
2. It allows for faster adaptation to changing environments. Somatic and germline mutation rates are likely correlated (nature.com/articles/s41598-0…), enabling this evolutionary strategy.
Have you seen this paper in @Nature ? doi.org/10.1038/s41586-022-0…
I’m very skeptical about the idea that accumulation of somatic mutations could be the cause of aging. However, in this study authors demonstrated how strikingly accurate rate of mutations accumulation between species correlate (inversely) with species lifespan.
Also note, that absolute number of mutations per genome is extremely low in naked-mole rats compared to mice. (Does it mean that NMRs have more faithful DNA polymerase?)
But my skepticism still holds. Without mechanistical evidence I would say that accumulation of somatic mutations is rather consequence of aging, than its driver.
Again, look at the data. Animals ultimately accumulate around 4,000 mutations per genome. But more than 90% of our genome does not code proteins. Hence we might say that only 400 of these mutations target genes. But out of 20,000 genes in our genome one type of cell uses less than half of them. Thus, we have now only 200 plausibly detrimental mutations. However, not all mutations are missense: decrease the number again. Next, our genome is diploid and for vast majority of genes one functional copy is more than enough. What’s the probability that among these 150 mutations you will hit one of those rare genes, for which the loss of a single copy results in a strong phenotype? Or what’s the probability that among these 150 mutations you hit both copies of one gene? Finally, many proteins have isoforms with partially or even fully overlapping functions. Moreover, in this study authors used intestinal cells, a tissue known for one of the highest rate of mutations in the organism.
However, I’m not the specialist in genomics and maybe I’m totally wrong. If the answers to my doubts are already given I would be happy to hear them!
For example, I know that @VijgJan lab have data on a strong correlation between increased number of mutations in the cell and augmentation of transcriptional noise. Another argument coming to my mind is that untranslated regions of genome are less susceptible to DNA damage just because of passive protection with histones and thus mutations might target the actively translated (and hence pivotal for a cell function) regions of genome with higher probability.
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The day eventually came last weekend -- my first hallmark of #aging, 2 mo after my 25th b-day:
The bartender stops asking me for ID. 🫠
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I’m honored to be part of this work but the most of credit should go to @sarudak, @jpoganik, @mahdi_moqri, @gladyshev_lab and other coauthors. We also thanks the support from @agingbiomarkers @DaneGobel @mfoundation @VoLoFoundation for their unwavering support! (3/3)
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I think the question here is that whether pregnancy also increases the risk of mortality and age-related disease corresponding to increased “biological age”. If they do, then the interpretation would be fine to me.
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The data was collected between 2003-2018, which predates the TR gaining its popularity, ie. they were looking at a population likely doing the TR diet involuntarily.
It is hard to derive any causal insight due to the complexity of underlying socioeconomic confounding factors.
“8-hour time-restricted eating linked to a 91% higher risk of cardiovascular death” 🫀
[An @American_Heart abstract👨🏻⚕️]
🔗newsroom.heart.org/news/8-ho…
Read & comment below 👇
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Thrilled that our work on COVID-19 risk and aging is finally online @CommsMedicine. Big thanks to @xiashen and @VadimGladyshev. We showed the causal connection between #aging and #COVID19, which is potentially mediated by the NOTCH and B cells. Check the paper for more details!
💡 NEW RESEARCH! Ying et al. analyse the relationship between lifespan, aging & #COVID19 risk in a Mendelian randomization study | @KejunY @gladyshev_lab @xiashen
ow.ly/CrCC50Gm0RV
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Very cool work! Congrats @jkpritch
Modern GWAS can identify 1000s of hits but it can be hard to turn this into biological insight. What key cellular functions link genetic variation to disease?
I'm excited to present our new work combining associations + Perturb-seq to build interpretable causal graphs! A🧵
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Excited to present our methylation foundation model at ASHG in Boston this October!
⭐️⭐️⭐️Join us this October in Boston for an exciting ASHG Featured Symposium - "Decoding Human Aging: From Single-Cell Resolution to Population-Scale Insights"!!
Organized by: @jpoganik & @Aoxing2
Featured Speakers: @AlbaRMeira & @KejunYing & @freeseek82 & @austinargen
We look forward to seeing 😎 many of you there!!
@GeneticsSociety * @agingbiomarkers
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Big thanks to my committee @Manning_BD, @Danbelsky, Jessica, Curtis; @davidasinclair, Shamil. And amazing collaborators @prof_horvath @xiashen @biogerontology @zkutalik @MarioniRiccardo @BoWang87 @mahdi_moqri @agingbiomarkers @EricGreerLab @NirBarzilaiMD and many more!
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Glad to be able to contribute and looking forward to seeing you join us again next year!
🙏 A massive and heartfelt thank you to all the wonderful attendees, speakers, sponsors, partners, and friends who helped make our 2024 Conference a resounding success! 🙏
⭐ Top Highlights Include ⭐
⭐ Two days of engaging programming at Harvard Medical School focused on cutting-edge academic research and translational science.
⭐ Nearly 500 participants from around the world—doubling last year’s attendance—representing over 28 U.S. states and over 30 countries.
⭐ 40 short talks by leading academic scientists, industry experts, and top poster winners from across the globe.
⭐ Over 50 flash talks and around 100 poster presenters from prestigious universities and innovative companies.
⭐ On target success rate for our Longevity Study "Pilot," with 99 participants enrolled (target 100) with over 300 vials collected.
⭐ Onboarded 30 mission-aligned sponsors and partners who achieved long-lasting ROI for their organizations.
⭐ Dynamic discussions about future collaborations and projects poised to elevate the longevity field.
⭐ And of course, amazing energy, new connections, friendships forged, and old bonds rekindled.
Establishing reliable biomarkers of aging for longevity interventions is no easy feat, but together, as a connected and aligned community, we’re advancing the field toward our shared vision and mission. We deeply appreciate your unwavering dedication and commitment to the success of our field. Special thanks to our organizing team and volunteers for their hard work, including:
💪 🧠 💓 Dane Gobel (@DaneGobel), Mahdi Moqri (@mahdi_moqri), Jesse Poganik (@jpoganik), Chiara Herzog (@chiara_herzog) , Andrea Cipriano (@AndreaC97370711), Nicholas Fiorenza (@nfiorenza), Ludger Goeminne (@LudgerGoeminne), Luisa Georgiana Bâcă, Allison Duettmann (@allisondman), Seth Paulson (@Sarudak), Kejun Ying (@KejunYing), Marek Piotrowski of Longevity Advocate and his team... as well as the blessings of our Scientific Steering Committee members, Vadim Gladyshev (@gladyshev_lab), Andrea B. Maier (@AndreaBMaier), Eric Verdin (@EricVerdin), Vittorio Sebastiano (@SebastianoLab), Michael Snyder (@SnyderShot) as well as our Scientific Advisory Board members Nir Barzilai (@NirBarzilaiMD), Steve Cummings, Luigi Ferrucci of @NIHAging, Steve Horvath (@prof_horvath), Jamie Justice (@j_n_justice), Brian Kennedy (@BKennedy_aging), Dan Belsky (@Danbelsky), Tony Wyss-Coray (@wysscoray), Viviana Perez of @hevolution_f 💪 🧠 💓
Special thanks to Methuselah Foundation (@mfoundation) for their fiscal sponsorship, world-class support and BoA Challenge operations and lots more, Alamar Biosciences, Inc. (@AlamarBio) for sponsoring our speaker and sponsor dinner, the Rosenkranz Foundation and the Firuza Foundation, quadraScope (@quadrasco for their support for our Longevity Study Pilot, as well as @xprize #XPRIZEHealthspan for their impactful, incentive-aligning prizes 💪 🧠 💓
It was a pleasure to bring everyone together under one roof, and we look forward to welcoming you all again in 2025 at Harvard Medical School for our next Biomarkers of Aging Conference. We have exciting progress ahead on our roadmap and across our Programs!
Stay connected with us across our channels for updates.
THANK YOU ALL!!! 🚀
P.S. If you attended and would like to provide feedback to help make the 2025 Conference even better, please take our survey: agingconsortium.org/conferen…
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This is the only way
me to my advisor: i'm keeping up with all the literature
the literature: arxiv.org/abs/2304.01393
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Join us tomorrow to learn the BoA challenge and the recent update on Biolearn! 🚀🚀🚀
We're excited to join our friends at @foresightinst during the upcoming Biomarkers of Aging Challenge Webinar on Friday, March 29th.
Hear from EC member Dr. Chiara Herzog (@chiara_herzog) and Challenge and Biolearn lead Seth Paulson (@Sarudak) about how to participate and win. Competing teams are also invited to join and discuss progress!
Add to your calendar and join us 👉 calendar.google.com/calendar…
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You can, of course, upload your own data and analyze it. We do NOT save your unpublished data without consent.
Our preprint is also available here biorxiv.org/content/10.1101/…
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It was a remarkable conference, truly grateful for the invitation. Glad to share our recent work with peers who are passionate about advancing the field of aging. The exchange of ideas is vital for innovation.
Kejun Albert Ying from Vadim Gladyshev lab gave a great speech on the topic Causal aging biomarker as a tool for systemic anti-aging therapy screening.
@KejunYing @VadimGladyshev
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Thank you to Branda and @theA4LI for the opportunity to share my research journey and vision for the future of aging science.
I look forward to continuing to contribute to longevity research in my next chapter. 🚀
This week on A4LI’s Scientist Spotlight, we get to chat with Albert Ying (@KejunYing), a PhD candidate wrapping up his groundbreaking work in the Gladyshev Lab at Harvard Medical School. He is recognized for his groundbreaking research in epigenetics and aging.
In this episode, we discuss his passion for aging and what his research interests are as a post-doctoral researcher.
You can listen to our full discussion here: a4li.org/?p=6458&preview=tru….
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another amazing work by @hammy_oh and Tony Wyss-Coray Lab! everyone working on biomarkers and Alzheimer's should read this!
I am excited to present our new study out in @NatureMedicine where we discover a novel synaptic protein biomarker to predict if and when someone will get Alzheimer’s disease dementia. Part 2/3 from my PhD work in the @wysscoray lab. 🧵1/12
Full study 🔗: nature.com/articles/s41591-0…
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If anyone still remembers, this project is actually derived from SudoClock, a hackathon project @LongHack2023 I started with my friend @AlexandreTrapp back in 2021. It may never happen if Alex didn't invite me to do this! Big thank to him!
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Our recent work on #COVID19 and #aging is now available as a #medRxiv preprint! @xiashen @VadimGladyshev
medrxiv.org/content/10.1101/…
We found evidence at both genetic and phenotypic level that suggests a causal link between aging and COVID-19. #genetics #MR #lifespan #biologicalage
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Join us on Nov 1st in Boston! 🔥🔥🔥
We’re SO EXCITED to announce that our Day 1 Program for our 2024 Biomarkers of Aging Consortium is now available online!
Can you believe that we are less than two months away from our 2024 Biomarkers of Aging Conference?
Focused on advancing cutting-edge academic science, our Day 1 Program features short talks, panels, and poster presentations that showcase the latest breakthroughs in basic biomarkers of aging research from leading academic labs worldwide.
Explore the full program on our Conference website: agingconsortium.org/program-…
To foster open communication and the sharing of unpublished research, recording of sessions—including talks, posters, and discussions—is strictly prohibited. You’ll need to attend our Conference in person to catch all the exciting advancements made in the field over the past year since our inaugural Symposium!
Keep reading to learn more about the rockstar academic scientists pioneering biomarkers of aging R&D who will be speaking at our 2024 Conference on Day 1
🧵👇
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A nice two day visit @UWproteindesign! Grateful to everyone that shared the insight with me and really excited about how protein design could potentially impact the #aging field!
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Totally agree with @DrMorganLevine. The question is really how we can learn from natural age-state landscapes and diverse functional outcomes to construct a function-state landscape. This would enable engineering toward enhanced human resilience -- even beyond age reversal.
I hate the term “reverse age”. It implies a 1-dim process that goes forward or backward.
Regardless, I’d argue optimal functioning is exemplified by youthful organisms in almost every facet. Engineering that state will be more beneficial than going after 1 function at a time.
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ProteinDesign4Aging 🚀🚀🚀
Our Applied AI team at @RetroBio_ + some @OpenAI homies working together for a few month have created GPT4b-micro, a sequence-based model for, among other things, protein design!
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Sequencing-based method finds no evidence of abundant #6mA DNAm in higher eukaryotes.
I worked on 6mA in fly as my 1st project during my undergrad. And also for my second rotation project here in Harvard.
Glad to see this problem settled and all my weird results explained 🥲🥲🥲
Glad to share our work @ScienceMagazine by @kong_yimeng et al. addressing a debate over DNA 6mA in eukaryotes. A new method, #6mASCOPE, takes a #metagenomic approach for #epigenomics science.org/doi/10.1126/scie… Interested in DNA #methylation? or long read sequencing? Here is a 🧵1/10
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I've been spending way too much time on clockbase.org, staring at the epigenetic age of thousands of GEO samples in a 3D t-SNE space. It's like a black hole that sucks me in, but I'm getting epigenetic gratification. It's weirdly addictive. Send help (or more samples).
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I just signed a @theactionnet petition: Support the Continuation of the Dog Aging Project. Sign here: actionnetwork.org/petitions/…
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Amazing work by @lucascamillomd and team. Congrats!
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I think the damage model is just more elegant than programmed aging. Built-in death mechanisms would need more complexity and hypothesis. Besides, if aging was programmed, why haven't we found mutations for dramatic life extension in humans, assuming that the program can be broken if we break some of its key elements?
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Fantastic episode! 🎉 Congrats to @jpoganik and @EverythingEpi for the insightful discussion!
Episode 2
Spotify - open.spotify.com/episode/5Sv…
YouTube - piped.video/watch?v=4dTMkuSM…
@jpoganik and I take a deep dive into his study which focuses on Biological Age being increased by stress and if it can be restored upon recovery.
#everythingepigentics #epigenetics #drjessepoganik
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Also thanks to @NIHAging F99K00 grant for supporting my research🥰
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