Evidence map›Paper›PMID 41188602›Full record

ArticleNature aging2025

A unified framework for systematic curation and evaluation of aging biomarkers.

Kejun Ying, Seth Paulson, Alec Eames, Alexander Tyshkovskiy, Siyuan Li, Nir Eynon, Macsue Jacques, Robin Grolaux, Kirsten Seale, Erik Jacques and 16 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Kejun Ying *Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1791-6176
Seth Paulson *Methuselah Foundation, Washington, DC, USA.
Alec EamesDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0009-0002-4824-1500
Alexander TyshkovskiyDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6215-190X
Siyuan LiDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0009-0000-9254-7115
Nir EynonAustralian Regenerative Medicine Institute, Monash University, Clayton, Victoria, Australia.ORCID http://orcid.org/0000-0003-4046-8276
Macsue JacquesAustralian Regenerative Medicine Institute, Monash University, Clayton, Victoria, Australia.
Robin GrolauxAustralian Regenerative Medicine Institute, Monash University, Clayton, Victoria, Australia.ORCID http://orcid.org/0000-0001-5129-7308
Kirsten SealeInstitute for Health and Sport (iHeS), Victoria University, Footscray, Victoria, Australia.
Erik JacquesDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Ludger J E GoeminneDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8285-7766
Andrea CiprianoDepartment of Genetics and Stanford University School of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0775-3198
Martin Perez-GuevaraMind Operating Systems, Paris, France.
Mehrnoosh EmamifarCollege of Engineering, Northeastern University, Boston, MA, USA.
Maximiliano Casas MartínezDivision of Exact Sciences, Department of Mathematics, Instituto Tecnológico Autónomo de México, Mexico City, Mexico.
Dayoon KwonDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Anna KoshelevaT. H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Michael SnyderDepartment of Genetics and Stanford University School of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0784-7987
Dane GobelMethuselah Foundation, Washington, DC, USA.
Chiara HerzogInstitute for Biomedical Ageing Research, Universität Innsbruck and European Translational Oncology Prevention and Screening Centre, Universität Innsbruck, Innsbruck, Austria.ORCID http://orcid.org/0000-0002-1572-498X
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5463-2212
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4430-4260
Jessica Lasky-SuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6236-4705
Jesse R PoganikDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3098-8550
Mahdi MoqriDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. mmoqri@bwh.harvard.edu.ORCID http://orcid.org/0000-0001-6675-0566
Vadim N GladyshevDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. vgladyshev@bwh.harvard.edu.ORCID http://orcid.org/0000-0002-0372-7016

Funding

Using causal aging biomarkers and protein design to develop novel anti-aging interventionsK00AG088431 · NIA · STANFORD UNIVERSITY · PI Kejun Ying · 2025 to 2026
$176k
Using causal aging biomarkers and protein design to develop novel anti-aging interventionsF99AG088431 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI YING, KEJUN · 2024 to 2024
$37k
NIA NIH HHS F99 AG088431NIA NIH HHS K00 AG088431Wellcome Trust
6 · The paper itself

Abstract

Aging biomarkers are essential tools for quantifying biological aging, but systematic validation has been hindered by methodological inconsistencies and fragmented datasets. Here we show that the ability of traditional aging clocks to predict chronological age does not correlate with mortality prediction capacity (R = 0.12, P = 0.67), suggesting that these metrics capture distinct biological processes. We developed Biolearn, an open-source framework enabling standardized evaluation of 39 biomarkers across over 20,000 individuals from diverse cohorts. The Horvath skin and blood clock achieved the highest chronological age accuracy (R

Indexed as

AgingBiomarkersAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedBiomarkers

Identifiers

PMID41188602
PMCPMC13476091

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.