Evidence map›Paper›PMID 40768061›Full record

ArticleGeroScience2026

EnsembleAge: enhancing epigenetic age assessment with a multi-clock framework.

Amin Haghani, Ake T Lu, Qi Yan, Juan Carlos Izpisua Belmonte, Pradeep Reddy, Victor Cheng, X William Yang, Nan Wang, Khyobeni Mozhui, Kevin Murach and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Amin HaghaniDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. ahaghani@altoslabs.com.ORCID 0000-0002-6052-8793
Ake T LuDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Qi YanAltos Labs, San Diego, CA, USA.
Juan Carlos Izpisua BelmonteAltos Labs, San Diego, CA, USA.
Pradeep ReddyAltos Labs, San Diego, CA, USA.
Victor ChengDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
X William YangCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
Nan WangCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA.
Khyobeni MozhuiDepartment of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.
Kevin MurachExercise Science Research Center, Department of Health, Human Performance, and Recreation, University of Arkansas, Fayetteville, AR, USA.
Alejandro OcampoDepartment of Biomedical Sciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Robert W WilliamsDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, College of Medicine, Memphis, TN, USA.
Mathias JuckerHertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Carina BergmannHertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
Jesse R PoganikDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Bohan ZhangDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Vadim N GladyshevDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.

Funding

Mediators of Muscle Rejuvenation with AgingR01AG080047 · NIA · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI Kevin Murach · 2023 to 2026
$2.3M
Myonuclear Epigenetics of Skeletal Muscle Mass Regulation with AgeR00AG063994 · NIA · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI MURACH, KEVIN · 2021 to 2023
$735k
NIA NIH HHS AG063994NIA NIH HHS AG080047NIA NIH HHS R00 AG063994NIA NIH HHS R01 AG080047
6 · The paper itself

Abstract

Several widely used epigenetic clocks have been developed for mice and other species, but a persistent challenge remains: different mouse clocks often yield inconsistent results. To address this limitation in robustness, we present EnsembleAge, a suite of ensemble-based epigenetic clocks. Leveraging data from over 200 perturbation experiments across multiple tissues, EnsembleAge integrates predictions from multiple penalized models. Empirical evaluations demonstrate that EnsembleAge outperforms existing clocks in detecting both pro-aging and rejuvenating interventions. Furthermore, we introduce EnsembleAge HumanMouse, an extension that enables cross-species analyses, facilitating translational research between mouse models and human studies. Together, these advances underscore the potential of EnsembleAge as a robust tool for identifying and validating interventions that modulate biological aging.

Indexed as

AgingEpigenesis, GeneticEpigenomicsAnimalsHumansMiceAging biomarkersBiological ageDNA methylationEnsembleAgeEpigenetic clocksHealthspanLifespan interventionsMethylGauge datasetMouse modelsRejuvenationStress response

Identifiers

PMID40768061
PMCPMC12972178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.