Evidence map›Paper›PMID 40059505›Full record

ArticlePediatric obesity2025

Gut microbiota and microbial metabolites are associated with body composition in 5-year-old children: A cross-sectional study in the Gen3G cohort.

Yingan Chen, Curtis Tilves, Bruno Bohn, Myriam Doyon, Luigi Bouchard, Patrice Perron, Renee Guerin, Eric Masse, Marie-France Hivert, Noel T Mueller

Abstract read
In one paragraph

Article in Pediatric obesity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

10 authors.

Yingan ChenDepartment of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA.
Curtis TilvesDepartment of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA.
Bruno BohnDepartment of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA.
Myriam DoyonCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CHUS), Quebec, Canada.
Luigi BouchardCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CHUS), Quebec, Canada.
Patrice PerronCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CHUS), Quebec, Canada.
Renee GuerinDepartment of Medical Biology, CIUSSS-SLSJ, Quebec, Canada.
Eric MasseDepartment of Biochemistry and Functional Genomics, Université de Sherbrooke, Quebec, Canada.
Marie-France HivertCentre de Recherche du Centre Hospitalier Universitaire de Sherbrooke (CHUS), Quebec, Canada.
Noel T MuellerDepartment of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA.

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
Effects of Dietary Patterns and Sodium Intake on the Gut Microbiome and MetabolomeR01HL166473 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI NOEL T MUELLER · 2023 to 2026
$2.4M
The Effects of Diet on the Gut Microbiome and Short Chain Fatty AcidsK01HL141589 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI MUELLER, NOEL T · 2018 to 2022
$845k
Employing smart underwear to measure gut microbial hydrogen sulfide productionR21DK132310 · NIDDK · UNIV OF MARYLAND, COLLEGE PARK · PI GHODSSI, REZA, HALL, ANDREW BRANTLEY · 2022 to 2023
$418k
Canadian Institute of Health Research (CIHR) MOP 115071Canadian Institute of Health Research (CIHR) PJT152989Diabète QuébecFonds de recherche du Québec 20697Le Centre de recherche du CHUSNHLBI NIH HHS K01 HL141589NHLBI NIH HHS K01HL141589NHLBI NIH HHS R01 HL166473NHLBI NIH HHS R01HL166473NIDDK NIH HHS P30 DK048520NIDDK NIH HHS R21 DK132310NIDDK NIH HHS R21DK132310Université de Sherbrooke
6 · The paper itself

Abstract

objectiveTo examine gut microbiota diversity, composition and metabolites in relation to overall mass (OM), fat mass (FM) and lean soft tissue mass (LSTM) measured by dual x-ray absorptiometry (DXA) in 5-year-old children.

methodsMothers of the Gen3G cohort were enrolled prenatally in 2010-2013 in Quebec, Canada; 153 children from the cohort had data on gut microbiota and DXA scans at 5-6.4 years of age, and 140 also had plasma metabolite data. We characterized gut microbiota by 16S rRNA Illumina sequencing and metabolites by untargeted multiplatform mass spectrometry. We examined associations of microbial alpha diversity, beta diversity, composition (amplicon sequence variants; ASVs) and metabolites (microbial metabolites) with DXA measures, adjusting for age, sex, diet and drinking water.

resultsOf the 153 children, 43.1% were female, and 96.1% self-identified as white. The median BMI was the 52nd percentile. Microbial richness (alpha diversity) was positively associated with OM, FM and LSTM. Of the 542 ASVs tested, 7 were associated with OM, 5 with FM and 4 with LSTM. One Veillonella ASV and two Blautia ASVs were significantly associated with all outcomes. Among 278 microbial metabolites, no metabolites were associated with FM, while glycoursodeoxycholate was associated with OM, and glycoursodeoxycholate, 3-hydroxybutyrate and gamma-glutamylalanine were associated with LSTM.

conclusionsIn 5-year-old children, gut microbiota alpha diversity, richness and specific gut microbes were associated with OM, FM and LSTM. Many of the associations followed a similar pattern for FM and LSTM, suggesting they may not be specific to adiposity but rather reflect overall growth.

Indexed as

Body CompositionGastrointestinal MicrobiomePediatric ObesityAbsorptiometry, PhotonBody Mass IndexChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleQuebecbody compositiongut microbiotapaediatric obesity

Identifiers

PMID40059505
PMCPMC12058418

What OpenQuestion holds

Textmetadata
LicenceTDM
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.