Evidence map›Paper›PMID 40244653›Full record

ArticleeLife2025

Social and environmental predictors of gut microbiome age in wild baboons.

Mauna R Dasari, Kimberly E Roche, David Jansen, Jordan Anderson, Susan C Alberts, Jenny Tung, Jack A Gilbert, Ran Blekhman, Sayan Mukherjee, Elizabeth A Archie

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Mauna R DasariDepartment of Biological Sciences, University of Notre Dame, Notre Dame, United States.ORCID https://orcid.org/0000-0002-1956-2500
Kimberly E RocheProgram in Computational Biology and Bioinformatics, Duke University, Durham, United States.
David JansenDepartment of Biological Sciences, University of Notre Dame, Notre Dame, United States.
Jordan AndersonDepartment of Evolutionary Anthropology, Duke University, Durham, United States.
Susan C AlbertsDepartment of Evolutionary Anthropology, Duke University, Durham, United States.ORCID https://orcid.org/0000-0002-1313-488X
Jenny TungDepartment of Evolutionary Anthropology, Duke University, Durham, United States.ORCID https://orcid.org/0000-0003-0416-2958
Jack A GilbertDepartment of Pediatrics and the Scripps Institution of Oceanography, University of California, San Diego, San Diego, United States.
Ran BlekhmanSection of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, United States.
Sayan MukherjeeDepartments of Statistical Science, Mathematics, Computer Science, and Bioinformatics and Biostatistics, Duke University, Durham, United States.
Elizabeth A ArchieDepartment of Biological Sciences, University of Notre Dame, Notre Dame, United States.ORCID https://orcid.org/0000-0002-1187-0998

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI Giovanna M Merli · 2015 to 2026
$5.7M
Population Genomics of Host-Microbiome InteractionsR35GM128716 · NIGMS · UNIVERSITY OF MINNESOTA · PI Ran Blekhman · 2018 to 2026
$3.5M
A life course perspective on gut microbiome aging and health in a non-human primate modelR01AG071684 · NIA · UNIVERSITY OF NOTRE DAME · PI ARCHIE, ELIZABETH · 2021 to 2025
$3.2M
A life course perspective on the effects of cumulative early adversity on healthR01AG053330 · NIA · UNIVERSITY OF NOTRE DAME · PI Elizabeth Archie · 2017 to 2026
$3.0M
Duke Population Research InstituteR24HD065563 · NICHD · DUKE UNIVERSITY · PI SANDERS, SETH G · 2010 to 2014
$1.4M
A prospective, longitudinal perspective on gut microbiome aging and health in a non-human primate modelR21AG055777 · NIA · UNIVERSITY OF NOTRE DAME · PI ARCHIE, ELIZABETH · 2017 to 2018
$438k
Duke University P2C-HD065563National Science Foundation 1840223National Science Foundation 2109624NIA NIH HHS R01 AG053330NIA NIH HHS R01 AG071684NIA NIH HHS R21 AG055777NICHD NIH HHS P2C HD065563NICHD NIH HHS R24 HD065563NIGMS NIH HHS R35 GM128716NIH HHS AG053330NIH HHS AG055777NIH HHS AG071684NIH HHS GM128716University of Notre Dame Eck Institute for Global Health
6 · The paper itself

Abstract

Mammalian gut microbiomes are highly dynamic communities that shape and are shaped by host aging, including age-related changes to host immunity, metabolism, and behavior. As such, gut microbial composition may provide valuable information on host biological age. Here, we test this idea by creating a microbiome-based age predictor using 13,563 gut microbial profiles from 479 wild baboons collected over 14 years. The resulting 'microbiome clock' predicts host chronological age. Deviations from the clock's predictions are linked to some demographic and socio-environmental factors that predict baboon health and survival: animals who appear old-for-age tend to be male, sampled in the dry season (for females), and have high social status (both sexes). However, an individual's 'microbiome age' does not predict the attainment of developmental milestones or lifespan. Hence, in our host population, gut microbiome age largely reflects current, as opposed to past, social and environmental conditions, and does not predict the pace of host development or host mortality risk. We add to a growing understanding of how age is reflected in different host phenotypes and what forces modify biological age in primates.

Indexed as

AgingGastrointestinal MicrobiomePapioAnimalsEnvironmentFemaleMaleageaging clockevolutionary biologymachine learningmammalian gut microbiomePapio cynocephalus

Identifiers

PMID40244653
PMCPMC12005720

What Socratic 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 Socratic graph.