Evidence map›Paper›PMID 40369669›Full record

ArticleAnimal microbiome2025

Intestinal microbiota profiles of captive-bred cynomolgus macaques reveal influence of biogeography and age.

C Purse, A Parker, S A James, D J Baker, C J Moss, R Evans, J Durham, S G P Funnell, S R Carding

Abstract read
In one paragraph

Article in Animal microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Frontiers in microbiology · 2025
    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

9 authors.

C PurseFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
A ParkerFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
S A JamesFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
D J BakerFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
C J MossFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
R EvansFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
J DurhamUK Health Security Agency, Porton Down, Salisbury, SP4 0JG, UK.
S G P FunnellFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK.
S R CardingFood, Microbiome and Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK. simon.carding@quadram.ac.uk.

Funding

BBSRC BB/R012490/1Biotechnology and Biological Sciences Research Council BB/T008717/1
6 · The paper itself

Abstract

backgroundAge-associated changes to the intestinal microbiome may be linked to inflammageing and the development of age-related chronic diseases. Cynomolgus macaques, a common animal model in biomedical research, have strong genetic physiological similarities to humans and may serve as beneficial models for the effect of age on the human microbiome. However, age-associated changes to their intestinal microbiome have previously only been investigated in faecal samples. Here, we have characterised and investigated the effects of age in the cynomolgus macaque intestinal tract in luminal samples from both the small and large intestine.

resultsWhole metagenomic shotgun sequencing was used to analyse the microbial communities in intestinal content obtained from six different intestinal regions, covering the duodenum to distal colon, of 24 healthy, captive-bred cynomolgus macaques, ranging in age from 4 to 20 years. Both reference-based and assembly-based computational profiling approaches were used to analyse changes to intestinal microbiota composition and metabolic potential associated with intestinal biogeography and age. Reference-based computational profiling revealed a significant and progressive increase in both species richness and evenness along the intestinal tract. The microbial community composition also significantly differed between the small intestine, caecum, and colon. Notably, no significant changes in the taxonomic abundance of individual taxa with age were found except when sex was included as a covariate. Additionally, using an assembly-based computational profiling approach, 156 putative novel bacterial and archaeal species were identified.

conclusionsWe observed limited effects of age on the composition of the luminal microbiota in the profiled regions of the intestinal tract except when sex was included as a covariate. The enteric microbial communities of the small and the large intestine were, however, distinct, highlighting the limitations of frequently used faecal microbial profiling as a proxy for the intestinal microbiota. The identification of a number of putative novel microbial taxa contributes to knowledge of the full diversity of the cynomolgus macaque intestinal microbiome.

Indexed as

AgeingAssembly-based computational profiling.Cynomolgus macaqueIntestinal biogeographyMetagenomicsMicrobiomeNon-human primateReference-based computational profiling

Identifiers

PMID40369669
PMCPMC12080069

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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.