Evidence map›Paper›PMID 34591235›Full record

ArticleGeroScience2022

Epigenetic clock and methylation studies in vervet monkeys.

Anna J Jasinska, Amin Haghani, Joseph A Zoller, Caesar Z Li, Adriana Arneson, Jason Ernst, Kylie Kavanagh, Matthew J Jorgensen, Julie A Mattison, Kevin Wojta and 8 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025
    Review
  6. Article
  7. Article
  8. The androgen clock is an epigenetic predictor of long-term male hormone exposure.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. The Influence of Diet on Metabolism and Health Across the Lifespan in Nonhuman Primates.Current opinion in endocrine and metabolic research · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Epigenetic age prediction.Aging cell · 2021 · on this map
    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 at 4 institutions in 3 countries.

Anna J JasinskaCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA. ankajasinska@gmail.com.
Amin HaghaniDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Joseph A ZollerDepartment of Biostatistics, School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Caesar Z LiDepartment of Biostatistics, School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.
Adriana ArnesonInterdepartmental Bioinformatics Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Jason ErnstInterdepartmental Bioinformatics Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Kylie KavanaghDepartment of Pathology, Section On Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, 27157-1040, USA.
Matthew J JorgensenDepartment of Pathology, Section On Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, 27157-1040, USA.
Julie A MattisonTranslational Gerontology Branch, National Institute On Aging Intramural Research Program, National Institute of Health, Gaithersburg, USA.
Kevin WojtaCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Oi-Wa ChoiCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Joseph DeYoungCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Xinmin LiTechnology Center for Genomics & Bioinformatics, Department of Pathology & Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Andrew W RaoTechnology Center for Genomics & Bioinformatics, Department of Pathology & Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Giovanni CoppolaCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Nelson B FreimerCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Roger P WoodsCenter for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA. shorvath@mednet.ucla.edu.ORCID 0000-0002-4110-3589
University of California, Los Angeles · USInstitute on Aging · USUniversity of Tasmania · AUWake Forest University · US

Funding

Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
Aging Intervention StudiesZIAAG000356 · NIA · NATIONAL INSTITUTE ON AGING · PI MATTISON, JULIE · 2013 to 2025
$21.7M
Vervet Research Colony as a Biomedical ResourceP40OD010965 · OD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Matthew Jorgensen · 2012 to 2026
$14.6M
Vervet Monkey (Cercopithecus Aethiops) Genetic MapR01RR016300 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2002 to 2011
$6.3M
VERVET RESEARCH COLONY AS A BIOMEDICAL RESOURCE: AIDSP40RR019963 · NCRR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KAPLAN, JAY ROSS · 2005 to 2011
$6.2M
Identification and Characterization of Asymmetrically-Expressed GenesR37MH060233 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2006 to 2014
$5.3M
NCRR NIH HHS P40 RR019963NCRR NIH HHS R01 RR016300NIA NIH HHS P30 AG072947NIH HHS P40 OD010965NIMH NIH HHS R37 MH060233
6 · The paper itself

Abstract

DNA methylation-based biomarkers of aging have been developed for many mammals but not yet for the vervet monkey (Chlorocebus sabaeus), which is a valuable non-human primate model for biomedical studies. We generated novel DNA methylation data from vervet cerebral cortex, blood, and liver using highly conserved mammalian CpGs represented on a custom array (HorvathMammalMethylChip40). We present six DNA methylation-based estimators of age: vervet multi-tissue epigenetic clock and tissue-specific clocks for brain cortex, blood, and liver. In addition, we developed two dual species clocks (human-vervet clocks) for measuring chronological age and relative age, respectively. Relative age was defined as ratio of chronological age to maximum lifespan to address the species differences in maximum lifespan. The high accuracy of the human-vervet clocks demonstrates that epigenetic aging processes are evolutionary conserved in primates. When applying these vervet clocks to tissue samples from another primate species, rhesus macaque, we observed high age correlations but strong offsets. We characterized CpGs that correlate significantly with age in the vervet. CpG probes that gain methylation with age across tissues were located near the targets of Polycomb proteins SUZ12 and EED and genes possessing the trimethylated H3K27 mark in their promoters. The epigenetic clocks are expected to be useful for anti-aging studies in vervets.

Indexed as

Epigenesis, GeneticEpigenomicsAnimalsChlorocebus aethiopsDNA MethylationLongevityMacaca mulattaMammalsAgingDevelopmentDNA methylationEpigenetic clockMonkeyVervet

Identifiers

PMID34591235
PMCPMC9135907
OpenAlexW3204082457

What OpenQuestion holds

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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.