Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Kejun Ying
Advancing aging biomarkers and intervention discovery at the TimePie Longevity Forum
On 20–21 September 2025, the 6th TimePie Longevity Forum convened approximately 2,500 participants from 16 countries in Shanghai. Attendees spanned aging biology, biomarker development and clinical geroscience. The forum’s aim was to bridge mechanistic discoveries with translational applications, with a particular emphasis on biomarker frameworks capable of guiding intervention testing in humans.
Integration of proteomic aging clocks in a phase 2a clinical trial supports simultaneous geroprotective assessment
Abstract Drugs for aging-related diseases may modulate aging itself, but standard clinical trial designs cannot detect such effects. Aging clocks could close this gap, but epigenetic models often yield inconsistent, hard-to-interpret results. In contrast, proteomic clocks, by tracking the immediate effectors of biological change, may excel in providing aging biomarkers or mechanistic insight.
An open competition for biomarkers of aging
Chronological age alone cannot capture the heterogeneity in how individuals age1. Robust biomarkers are needed both to evaluate interventions that target the aging process and to stratify individuals by disease risk. Over the past decade, epigenetic clocks have provided quantitative tools for measuring biological age2,3, and mortality-predictive models such as GrimAge4 and PhenoAge5 have extended their clinical relevance.
Universal transcriptomic hallmarks of mammalian ageing and mortality
|
Abstract Ageing and interventions modulate health and mortality1, yet the underlying molecular mechanisms of this modulation remain unclear. Here we integrate more than 11,000 transcriptomes from more than 25 tissues across 4 mammals (mouse, rat, macaque and human) to develop accurate, interpretable rodent and multi-species biomarkers of chronological age and expected mortality, predicting lifespan-modulating interventions, time to death, chronic diseases and rejuvenation.
By Alexander Tyshkovskiy, Daria Kholdina, Maria Davitadze, Adrian Molière, Alibek Moldakozhayev, Yoshiyasu Tongu, Tomoko Kasahara, Dmitrii Glubokov, Alec W. Eames, Leonid Kats, Anastasiya Vladimirova, Kejun Ying, Hanna Liu, Bohan Zhang, Uma Khasanova, Jeremy Van Raamsdonk, David Harrison, Randy Strong, Takaaki Abe, Sergey Dmitriev, Vadim N. Gladyshev
|
Nature
Verified
Defining, Quantifying and Extending the Boundaries of Peak Productive Lifespan
在这里添加一些文本 RIS (ProCite, Reference Manager) BibTeX Peakspan: Defining, Quantifying and Extending the Boundaries of Peak Productive Lifespan Peakspan: Defining, Quantifying and Extending the Boundaries of Peak Productive Lifespan {{javascript:window.custom_author_en_index=0;}} {{article.zuoZhe_EN}} Author information History RIS Export {{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}.
Integrative epigenetics and transcriptomics identify aging genes in human blood - Nature Communications
Abstract Recent epigenome-wide studies have identified a large number of genomic regions that consistently exhibit changes in their methylation status with aging across diverse populations, but the functional consequences of these changes are largely unknown. On the other hand, transcriptomic changes are more easily interpreted than epigenetic alterations, but previously identified age-related gene expression changes have shown limited replicability across populations.
An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes
Abstract Epigenetic Clocks have been trained to predict chronological age, healthspan and lifespan. Such clocks are often analysed in relation to disease outcomes – typically using small datasets and a limited number of clocks. Here, we present a large-scale (n = 18,859), unbiased comparison of 14 widely used clocks as predictors of 174 incident disease outcomes and all-cause mortality over 10-years of follow up.
The 18S rRNA methyltransferase DIMT-1 regulates lifespan in the germline later in life - Nature Communications
Abstract Specialized ribosomes help determine which proteins are synthesized, however, the influence of age on ribosome heterogeneity and whether dysregulation of this process drives organismal aging is unknown. Here we examined the role of ribosomal RNA (rRNA) methylation in maintaining appropriate translation as organisms age. In a directed RNAi screen, we identified 18S rRNA N6’-dimethyl adenosine (m6,2A) methyltransferase, dimt-1, as a regulator of C. elegans lifespan and stress resistance.
Invigorating discovery and clinical translation of aging biomarkers - Nature Aging
|
On 1–2 November 2024, the annual Biomarkers of Aging conference welcomed academic and industry scientists, and partners from governmental and nongovernmental organizations, to Harvard Medical School in Boston, USA, to discuss new insights into measuring and monitoring human aging, with the aim of clinical translation. In this Meeting Report, we summarize the conference and offer potential future directions for the Biomarkers of Aging Consortium and the longevity science community at large.
By Chiara Herzog, Kejun Ying, Raghav Sehgal, Waylon J. Hastings, Alexander Tyshkovskiy, Sara Hägg, John Earls Verified, Christian Behrens, Jessica Lasky-Su, John S. Tsang, Riccardo E Marioni, M. Austin Argentieri, Lynne Cox, Gordan Lauc, David Furman, Jason D. Buenrostro, Björn Schumacher, Jamie Justice, Andrea B. Maier, Michael Snyder, Tony Wyss-Coray, Steve Horvath, Luigi Ferrucci, Jesse R. Poganik, David Sinclair
|
Nature
Verified
Plasma protein-based organ-specific aging and mortality models unveil diseases as accelerated aging of organismal systems
Keywords organ-specific aging proteomic clocks aging models mortality disease blood plasma longevity interventions elastic net diet lifestyle Get full text access Log in, subscribe or purchase for full access. References 1. Gladyshev, V.N. ∙ Kritchevsky, S.B. ∙ Clarke, S.G. ... Molecular damage in aging Nat. Aging. 2021; 1:1096-1106 2. Horvath, S. DNA methylation age of human tissues and cell types Genome Biol. 2013; 14, R115 3. Peters, M.J. ∙ Joehanes, R. ∙ Pilling, L.C. ...
An Open Competition for Biomarkers of Aging
Abstract Open scientific competitions have successfully driven biomedical advances but remain underutilized in aging research, where biological complexity and heterogeneity require methodological innovations. Here, we present the results from Phase I of the Biomarkers of Aging Challenge, an open competition designed to drive innovation in aging biomarker development and validation. The challenge leverages a unique DNA methylation dataset and aging outcomes from 500 individuals, aged 18 to 99.
MethylGPT: a foundation model for the DNA methylome
Abstract DNA methylation serves as a powerful biomarker for disease diagnosis and biological age assessment. However, current analytical approaches often rely on linear models that cannot capture the complex, context-dependent nature of methylation regulation.
Just a number? Science is changing how we understand ageing
Today, ageing is so much more than a number — and each of our organs has its own "true age". Using this information to bolster healthcare outcomes is key. Image: Getty Images PhD Candidate, Harvard Medical School Ageing research is advancing quickly; we can now measure the "true" health of bodily organs like the heart and brain. Today, each of our organs has its own clock through which we can see its age and thus health. Turning that development into actionable healthcare is a key next step.
Volume 16, Issue 20
https://doi.org/10.18632/aging.206135 pp 12955—12976 Cite this Article Select the format you require from the list below Click to copy this citation from the text box above or download the citation: Citation | https://doi.org/10.18632/aging.206132 pp 12977—13011 Cite this Article Select the format you require from the list below Click to copy this citation from the text box above or download the citation: Citation | https://doi.org/10.18632/aging.206134 pp 13012—13024 Cite this Article Select...
Causal inference for epigenetic ageing - Nature Reviews Genetics
The ageing process involves complex biological changes, with epigenetic alterations playing a crucial part. Epigenetic clocks, the machine learning algorithms that predict biological age on the basis of DNA methylation patterns, have become popular computational tools in ageing research. These clocks can accurately estimate chronological age and have been associated with various health outcomes, including age-related diseases and mortality.
Depletion of loss-of-function germline mutations in centenarians reveals longevity genes - Nature Communications
Abstract While previous studies identified common genetic variants associated with longevity in centenarians, the role of the rare loss-of-function (LOF) mutation burden remains largely unexplored. Here, we investigated the burden of rare LOF mutations in Ashkenazi Jewish individuals from the Longevity Genes Project and LonGenity study cohorts using whole-exome sequencing data. We found that centenarians had a significantly lower burden (11-22%) of LOF mutations compared to controls.
Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity
Research Paper Volume 16, Issue 20 pp 12955—12976 1 Institute of Advanced Biotechnology and School of Medicine, Southern University of Science and Technology, Shenzhen, China 2 Max Planck Institute for Biology of Ageing, Cologne, Germany 3 Institute of Aging Medicine, College of Pharmacy, Binzhou Medical University, Yantai, China 4 Anti-aging Innovation Center, Subei Research Institute at Shanghai Jiaotong University, China 5 Shandong Cellogene Pharmaceutics Co. LTD, Yantai, China 6 Duke...
High-dimensional Ageome Representations of Biological Aging across Functional Modules
Abstract The aging process involves numerous molecular changes that lead to functional decline and increased disease and mortality risk. While epigenetic aging clocks have shown accuracy in predicting biological age, they typically provide single estimates for the samples and lack mechanistic insights. In this study, we challenge the paradigm that aging can be sufficiently described with a single biological age estimate.
Age-associated clonal B cells drive B cell lymphoma in mice - Nature Aging
Abstract Although cancer is an age-related disease, how the processes of aging contribute to cancer progression is not well understood. In this study, we uncovered how mouse B cell lymphoma develops as a consequence of a naturally aged system. We show here that this malignancy is associated with an age-associated clonal B cell (ACBC) population that likely originates from age-associated B cells.
PRC2-AgeIndex as a universal biomarker of aging and rejuvenation - Nature Communications
Abstract DNA methylation (DNAm) is one of the most reliable biomarkers of aging across mammalian tissues. While the age-dependent global loss of DNAm has been well characterized, DNAm gain is less characterized. Studies have demonstrated that CpGs which gain methylation with age are enriched in Polycomb Repressive Complex 2 (PRC2) targets. However, whole-genome examination of all PRC2 targets as well as determination of the pan-tissue or tissue-specific nature of these associations is lacking.
Transcriptomic Hallmarks of Mortality Reveal Universal and Specific Mechanisms of Aging, Chronic Disease, and Rejuvenation
Abstract Health is strongly affected by aging and lifespan-modulating interventions, but the molecular mechanisms of mortality regulation remain unclear. Here, we conducted an RNA-seq analysis of mice subjected to 20 compound treatments in the Interventions Testing Program (ITP).
Integrative epigenetics and transcriptomics identify aging genes in human blood
Abstract Recent epigenome-wide studies have identified a large number of genomic regions that consistently exhibit changes in their methylation status with aging across diverse populations, but the functional consequences of these changes are largely unknown. On the other hand, transcriptomic changes are more easily interpreted than epigenetic alterations, but previously identified age-related gene expression changes have shown limited replicability across populations.
A Unified Framework for Systematic Curation and Evaluation of Aging Biomarkers
Abstract Aging biomarkers are essential for understanding and quantifying the aging process and developing targeted longevity interventions. However, validation of these tools has been hindered by the lack of standardized approaches for cross-population validation, disparate biomarker designs, and inconsistencies in dataset structures.
Nature of epigenetic aging from a single-cell perspective - Nature Aging
Abstract Age-related changes in DNA methylation (DNAm) form the basis of the most robust predictors of age—epigenetic clocks—but a clear mechanistic understanding of exactly which aspects of aging are quantified by these clocks is lacking. Here, to clarify the nature of epigenetic aging, we juxtapose the dynamics of tissue and single-cell DNAm in mice.
Validation of biomarkers of aging - Nature Medicine
|
Abstract The search for biomarkers that quantify biological aging (particularly ‘omic’-based biomarkers) has intensified in recent years. Such biomarkers could predict aging-related outcomes and could serve as surrogate endpoints for the evaluation of interventions promoting healthy aging and longevity. However, no consensus exists on how biomarkers of aging should be validated before their translation to the clinic.
By Chiara Herzog, Jesse R. Poganik, Kejun Ying, Daniel Belsky, Albert T. Higgins-Chen, Alan Cohen, Sara Hägg, Riccardo E Marioni, Martin Widschwendter, Jessica Lasky-Su, Douglas P Kiel, Brian Kennedy, Steven R. Cummings, P. Eline Slagboom, Eric Verdin, Michael Snyder, Vadim N. Gladyshev, Steve Horvath
|
Nature
Verified
Causality-enriched epigenetic age uncouples damage and adaptation - Nature Aging
Abstract Machine learning models based on DNA methylation data can predict biological age but often lack causal insights. By harnessing large-scale genetic data through epigenome-wide Mendelian randomization, we identified CpG sites potentially causal for aging-related traits. Neither the existing epigenetic clocks nor age-related differential DNA methylation are enriched in these sites.
TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction
|
Abstract Epigenetic ‘clocks’ based on DNA methylation have emerged as the most robust and widely used aging biomarkers, but conventional methods for applying them are expensive and laborious. Here we develop tagmentation-based indexing for methylation sequencing (TIME-seq), a highly multiplexed and scalable method for low-cost epigenetic clocks. Using TIME-seq, we applied multi-tissue and tissue-specific epigenetic clocks in over 1,800 mouse DNA samples from eight tissue and cell types.
By PATRICK GRIFFIN, Alice E Kane, Alexandre Trapp, Jien Li, Matthew Arnold, Jesse R. Poganik, Ryan Conway, Maeve S. McNamara, Margarita Meer, Noah Hoffman, João A. Amorim, Xiao Gang Tian, Michael R. MacArthur, Sarah Mitchell, Amber Mueller, Daniel Vera Verified, Csaba Kerepesi, Kejun Ying, Nicole Noren Hooten, James Mitchell, Michele Evans, Vadim N. Gladyshev, David Sinclair, Colleen Carmody
|
Nature
Verified
Causality-Enriched Epigenetic Age Uncouples Damage and Adaptation
Abstract Machine learning models based on DNA methylation data can predict biological age but often lack causal insights. By harnessing large-scale genetic data through epigenome-wide Mendelian Randomization, we identified CpG sites potentially causal for aging-related traits. Neither the existing epigenetic clocks nor age-related differential DNA methylation are enriched in these sites.
Biolearn, an open-source library for biomarkers of aging
Abstract Identifying and validating biomarkers of aging is pivotal for understanding the aging process and testing longevity interventions. Despite the development of numerous aging biomarkers, their clinical validation remains elusive, largely due to the lack of cross-population validation, which is hampered by disparate biomarker designs and inconsistencies in dataset structures.
Nature of epigenetic aging from a single-cell perspective
Abstract Age-related changes in DNA methylation (DNAm) form the basis for the development of most robust predictors of age, epigenetic clocks, but a clear mechanistic basis for exactly what part of the aging process they quantify is lacking.
Integrative analyses uncover mechanisms by which aging drives B cell lymphoma
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
ClockBase: a comprehensive platform for biological age profiling in human and mouse
ABSTRACT Aging represents the greatest risk factor for chronic diseases and mortality, but to understand it we need the ability to measure biological age. In recent years, many machine learning algorithms based on omics data, termed aging clocks, have been developed that can accurately predict the age of biological samples. However, there is currently no resource for systematic profiling of biological age.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Kejun
Contact Kejun, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack