Evidence map›Paper›PMID 39126297›Full record

ReviewThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.

Alessandro Bartolomucci, Alice E Kane, Lauren Gaydosh, Maria Razzoli, Brianah M McCoy, Dan Ehninger, Brian H Chen, Susan E Howlett, Noah Snyder-Mackler

Abstract readReview
In one paragraph

Review in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Social and clinical frailty indices in aging mice: a comparative analysis of longitudinal and cross-sectional designs.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  3. Article
  4. Effects of SRWFood & nutrition research · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
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

9 authors.

Alessandro BartolomucciDepartment of Integrative Biology and Physiology, University of Minnesota, Minneapolis, Minnesota, USA.
Alice E KaneInstitute for Systems Biology, Seattle, Washington, USA.
Lauren GaydoshDepartment of Sociology, University of Texas at Austin, Austin, Texas, USA.
Maria RazzoliDepartment of Integrative Biology and Physiology, University of Minnesota, Minneapolis, Minnesota, USA.
Brianah M McCoySchool of Life Sciences, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0003-1988-3248
Dan EhningerGerman Center for Neurodegenerative Diseases, Bonn, Germany.
Brian H ChenCalifornia Pacific Medical Center Research Institute, Sutter Health, San Francisco, CA, 94143, USA.
Susan E HowlettDepartments of Pharmacology and Medicine (Geriatric Medicine), Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0001-5351-6308
Noah Snyder-MacklerSchool of Life Sciences, Arizona State University, Tempe, Arizona, USA.

Funding

The Dog Aging Project: Genetic and Environmental Determinants of Healthy Aging in Companion Dogs Competitive RevisionU19AG057377 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2018 to 2023
$29.0M
ROLE OF HEXOKINASE IN ADAPTATION TO OXIDANT STRESSP01HL031992 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 1985 to 2004
$7.7M
Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI KAREN L FINGERMAN · 2020 to 2026
$5.2M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Social modifiers of the pace of aging across multiple domains and tissuesR01AG060931 · NIA · UNIVERSITY OF WASHINGTON · PI BRENT, LAUREN JOHANNA NICOLE, HIGHAM, JAMES P · 2019 to 2023
$3.6M
Research Network on Animal Models to Understand Social Dimensions of AgingR24AG065172 · NIA · UNIVERSITY OF MINNESOTA · PI Susan C. Alberts, Alessandro Bartolomucci · 2020 to 2026
$2.6M
Mouse models for the influence of the social environment on health and agingR33AG078520 · NIA · UNIVERSITY OF MINNESOTA · PI Alessandro Bartolomucci · 2024 to 2026
$1.7M
Development of a Predictive Frailty Clock & Longitudinal Investigation of its Epigenetic DeterminantsR00AG070102 · NIA · INSTITUTE FOR SYSTEMS BIOLOGY · PI KANE, ALICE E · 2023 to 2025
$1.0M
Mouse models for the influence of the social environment on health and agingR61AG078520 · NIA · UNIVERSITY OF MINNESOTA · PI BARTOLOMUCCI, ALESSANDRO · 2022 to 2023
$619k
Animal Models for the Social Dimensions of Health and Aging NIH/NIA R24 AG065172Bruce McEwen Career Development FellowshipEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentHeart and Stroke Foundation of Canada G-22-0031992Marie-Sklodowska-Curie Actions, Doctoral Network ETERNITY NIH/NIA R01AG060931Ministry of University and ResearchNational Recovery and Resilience Plan NIH/NIA R00AG070102NIA NIH HHS NIH/NICHD P2CHD042849NIA NIH HHS P30 AG066614NIA NIH HHS R00 AG070102NIA NIH HHS R01 AG060931NIA NIH HHS R24 AG065172NIA NIH HHS R33 AG078520NIA NIH HHS R61 AG078520NIA NIH HHS U19 AG057377NICHD NIH HHS P2C HD042849NSF Graduate Research Fellowship
6 · The paper itself

Abstract

For centuries, aging was considered inevitable and immutable. Geroscience provides the conceptual framework to shift this focus toward a new view that regards aging as an active biological process, and the biological age of an individual as a modifiable entity. Significant steps forward have been made toward the identification of biomarkers for and measures of biological age, yet knowledge gaps in geroscience are still numerous. Animal models of aging are the focus of this perspective, which discusses how experimental design can be optimized to inform and refine the development of translationally relevant measures and biomarkers of biological age. We provide recommendations to the field, including: the design of longitudinal studies in which subjects are deeply phenotyped via repeated multilevel behavioral/social/molecular assays; the need to consider sociobehavioral variables relevant for the species studied; and finally, the importance of assessing age of onset, severity of pathologies, and age-at-death. We highlight approaches to integrate biomarkers and measures of functional impairment using machine learning approaches designed to estimate biological age as well as to predict future health declines and mortality. We expect that advances in animal models of aging will be crucial for the future of translational geroscience but also for the next chapter of medicine.

Indexed as

AgingBiomarkersModels, AnimalAnimalsGeroscienceHumansBiomarkersAnimal modelBiomarkersFrailtySenescence

Identifiers

PMID39126297
PMCPMC11316208

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.