Evidence map›Paper›PMID 37043532›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Contextual modifiers of healthspan, lifespan, and epigenome in mice under chronic social stress.

Maria Razzoli, Kewir Nyuyki-Dufe, Brian H Chen, Alessandro Bartolomucci

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  12. Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

4 authors at 2 institutions in 1 country.

Maria RazzoliDepartment of Integrative Biology and Physiology, University of Minnesota, Minneapolis, MN 55455.ORCID 0000-0002-0896-5881
Kewir Nyuyki-DufeDepartment of Integrative Biology and Physiology, University of Minnesota, Minneapolis, MN 55455.ORCID 0000-0002-5109-8963
Brian H ChenFOXO Technologies Inc., Minneapolis, MN 55401.ORCID 0000-0001-9065-3301
Alessandro BartolomucciDepartment of Integrative Biology and Physiology, University of Minnesota, Minneapolis, MN 55455.ORCID 0000-0001-6439-8829
University of Minnesota · USUniversity of California San Diego · US

Funding

ENERGETICS DISPARITIES & LIFESPAN: A UNIFIED HYPOTHESISR01AG043972 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B · 2012 to 2016
$8.3M
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
Mouse models for the influence of the social environment on health and agingR61AG078520 · NIA · UNIVERSITY OF MINNESOTA · PI BARTOLOMUCCI, ALESSANDRO · 2022 to 2023
$619k
NIA NIH HHS R33 AG078520
6 · The paper itself

Abstract

Sustained life stress and low socioeconomic status are among the major causes of aging-related diseases and decreased life expectancy. Experimental rodent models can help to identify the underlying mechanisms, yet very few studies address the long-term consequences of social stress on aging. We conducted a randomized study involving more than 300 male mice of commonly used laboratory strains (C57BL/6J, CD1, and Sv129Ev) chosen for the spontaneous aggression gradient and stress-vulnerability. Mice were exposed to a lifelong chronic psychosocial stress protocol to model social gradients in aging and disease vulnerability. Low social rank, inferred based on a discretized aggression index, was found to negatively impact lifespan in our study population. However, social rank interacted with genetic background in that low-ranking C57BL/6J, high-ranking Sv129Ev, and middle-ranking CD1 mice had lower survival, respectively, implying a cost of maintaining a given social rank that varies across strains. Machine learning linear discriminant analysis identified baseline fat-free mass as the most important predictor of mouse genetic background and social rank in the present dataset. Finally, strain and social rank differences were significantly associated with epigenetic changes, most significantly in Sv129Ev mice and in high-ranking compared to lower ranking subjects. Overall, we identified genetic background and social rank as critical contextual modifiers of aging and lifespan in an ethologically relevant rodent model of social stress, thereby providing a preclinical experimental paradigm to study the impact of social determinants of health disparities and accelerated aging.

Indexed as

EpigenomeLongevityAgingAnimalsHumansMaleMiceMice, Inbred C57BLStress, Psychologicalagingepigeneticsocial determinants of healthsocial statusstrain differences

Identifiers

PMID37043532
PMCPMC10120026
OpenAlexW4365136256

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.