Evidence map›Paper›PMID 40563092›Full record

ArticleGut pathogens2025

Stunting is associated with persistent and transferable alterations in the gut microbiome.

Joshua O Amimo, C N Kunyanga, S A Raev, M Kick, H Micheal, L J Saif, Anastasia N Vlasova

Abstract read
In one paragraph

Article in Gut pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Clostridium Abundance and Lower Weight-for-AgeJMIR pediatrics and parenting · 2026
    Article
  2. Review
  3. Article
  4. Strengths and limitations ofGut microbes reports · 2026
    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

7 authors.

Joshua O AmimoCenter for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, 1680 Madison Avenue, Wooster, OH, 44691, USA. amimo.3@osu.edu.
C N KunyangaDepartment of Food Science, Nutrition and Technology, Faculty of Agriculture, University of Nairobi, P.O Box 29053, Nairobi, 00625, Kenya.
S A RaevCenter for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, 1680 Madison Avenue, Wooster, OH, 44691, USA.
M KickCenter for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, 1680 Madison Avenue, Wooster, OH, 44691, USA.
H MichealCenter for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, 1680 Madison Avenue, Wooster, OH, 44691, USA.
L J SaifCenter for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, 1680 Madison Avenue, Wooster, OH, 44691, USA.
Anastasia N VlasovaCenter for Food Animal Health, Department of Animal Sciences, College of Food, Agricultural and Environmental Sciences, The Ohio State University, 1680 Madison Avenue, Wooster, OH, 44691, USA. vlasova.1@osu.edu.

Funding

Bill and Melinda Gates Foundation OPP1117467National Institute of Allergy and Infectious Diseases R01A1099451
6 · The paper itself

Abstract

As robust animal models to study the pathophysiology of stunting are absent, we have comparatively characterized the gut microbiota of malnourished/stunted vs. clinically healthy/normal Kenyan toddlers (12-24 months old) and established a gnotobiotic (Gn) pig fecal transplant model to gain understanding of microbial community structure associated with stunting. As expected, the bacterial composition between the two toddler groups was distinct: Actinobacteria was most prevalent in healthy toddlers, whereas Proteobacteria dominated in stunted toddlers. Although the diversity indices showed no significant differences, unique bacterial genera were found in each toddler group: three genera unique to stunted toddlers and ten unique to healthy toddlers, with eight genera shared between the groups. We observed a higher number of enriched bacterial virulence genes in healthy vs. stunted toddlers suggesting that the microbiome plasticity and functional characteristics of the healthy toddlers allow for the pathogen/pathobiont control. In contrast, we noted the presence of more genes associated with antimicrobial-resistance (AMR) bacteria in stunted toddlers, possibly due to early-life antibiotic treatments. Of interest, functional analysis showed that CAZymes associated with carbohydrate biosynthesis, and a few metabolic pathways related to protein/amino acid, carbohydrate and fat catabolism were enriched in stunted toddlers. In contrast carbohydrate degradation CAZymes and numerous anabolic pathways were prevalent in healthy toddlers. These patterns were also evident in the Gn pigs transplanted with stunted/healthy human fecal microbiota (HFM). Overall, our findings suggest that the microbiota transplanted Gn pigs represent a valuable model for studying the infant microbial community structure and the impacts of stunting on the child gut microbiota. Additionally, this is the first study to demonstrate that the healthy vs. stunted microbiota composition and function remained different in the Gn pigs throughout the study. This information and the Gn pig model are vital for developing and testing targeted interventions for malnourished/stunted populations, consequently advancing microbiome-based diagnosis and personalized medicine.

Indexed as

(Child gut microbiotaFecal microbiota transplantationGnotobiotic pig modelGut microbiota functions)Malnutrition/stuntingMicrobial colonization

Identifiers

PMID40563092
PMCPMC12199511

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.