Sibling factors associated with gut microbiota and fecal short-chain fatty acids in preschoolers

BACKGROUND: Sibling factors are linked not only to disease development but also to gut environmental factors (e.g., microbiota, short-chain fatty acids [SCFA]). However, these associations among preschoolers and their underlying mechanisms remain unclear. METHODS: In a sub-cohort study of a nationwide birth-cohort study, using fecal microbiome and SCFA data from 903 children at age 2 or 4 years, we examined associations of sibling factors with gut environmental factors. We also determined enterotypes by clustering and sibling-enterotype associations with potential mediation pathways. RESULTS: Among sibling factors, the number of older siblings showed the strongest associations with gut environmental factors. We identified 3 enterotypes: 1) Mediterraneibacter gnavus group, 2) Faecalibacterium, and 3) Ruminococcus. Compared to enterotype 2, having older siblings was associated with lower odds of enterotype 1, with the lowest Shannon index and propionate level, at age 2 (1 sibling: adjOR 0.49, 95%CI 0.34-0.69; ≥2: adjOR 0.32, 95%CI, 0.19-0.54) and 4 (1 sibling: adjOR 0.45, 95%CI 0.26-0.77; ≥2: adjOR 0.22, 95%CI 0.08-0.53) years. These associations were largely direct, with modest mediation by antibiotic use at age 4 years (1 sibling, adjOR 0.89; 95%CI, 0.79-1.00). CONCLUSION: Our data identified distinct enterotypes of preschoolers and sibling-enterotype association pathways. IMPACT: In this nationwide multicenter birth-cohort sub-cohort, older siblings were strongly associated with gut microbial composition in preschoolers. Having older siblings was associated with lower odds of a potentially less mature enterotype characterized by the lowest Shannon index and propionate level. The sibling-enterotype association was mainly direct, with modest mediation by recent antibiotic use. This study extends sibling-microbiota evidence beyond infancy/toddlerhood by identifying three enterotypes with distinct microbial and short-chain fatty acid profiles. These findings clarify pathways linking family structure to gut environmental development and may inform microbiota-targeted disease prevention strategies.

Authors

Institutions

Publication Details

Journal
Pediatric Research
Published
2026-10-14
DOI
https://doi.org/10.1038/s41390-026-05478-3
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sibling factors associated with gut microbiota and fecal short-chain fatty acids in preschoolers

Nobuo Yaegashi, Hidekuni Inadera, Midori Yamamoto, Bahrul Fikri et al.
Pediatric Research
Gut microbiota and health
article

Sibling factors associated with gut microbiota and fecal short-chain fatty acids in preschoolers

Nobuo Yaegashi, Hidekuni Inadera, Midori Yamamoto, Bahrul Fikri, Taku Oishi, Chisato Mori, Kahoko Yasumitsu‐Lovell, Ryohei Shibata, Yuichi Adachi, Yasuhiro Takeshima, Hiroshi Kitazawa, Takahiro Arima, Naoki Shimojo, Kenichi Sakurai, Narufumi Suganuma, Tomoko Takahashi, Yuichiro Tanaka, Shokei Murakami, Masayuki Shima, Yumiko Nakanishi, Tamotsu Kato, Narumi Tokuda, Hiroshi Ohno
article en

Abstract

BACKGROUND: Sibling factors are linked not only to disease development but also to gut environmental factors (e.g., microbiota, short-chain fatty acids [SCFA]). However, these associations among preschoolers and their underlying mechanisms remain unclear. METHODS: In a sub-cohort study of a nationwide birth-cohort study, using fecal microbiome and SCFA data from 903 children at age 2 or 4 years, we examined associations of sibling factors with gut environmental factors. We also determined enterotypes by clustering and sibling-enterotype associations with potential mediation pathways. RESULTS: Among sibling factors, the number of older siblings showed the strongest associations with gut environmental factors. We identified 3 enterotypes: 1) Mediterraneibacter gnavus group, 2) Faecalibacterium, and 3) Ruminococcus. Compared to enterotype 2, having older siblings was associated with lower odds of enterotype 1, with the lowest Shannon index and propionate level, at age 2 (1 sibling: adjOR 0.49, 95%CI 0.34-0.69; ≥2: adjOR 0.32, 95%CI, 0.19-0.54) and 4 (1 sibling: adjOR 0.45, 95%CI 0.26-0.77; ≥2: adjOR 0.22, 95%CI 0.08-0.53) years. These associations were largely direct, with modest mediation by antibiotic use at age 4 years (1 sibling, adjOR 0.89; 95%CI, 0.79-1.00). CONCLUSION: Our data identified distinct enterotypes of preschoolers and sibling-enterotype association pathways. IMPACT: In this nationwide multicenter birth-cohort sub-cohort, older siblings were strongly associated with gut microbial composition in preschoolers. Having older siblings was associated with lower odds of a potentially less mature enterotype characterized by the lowest Shannon index and propionate level. The sibling-enterotype association was mainly direct, with modest mediation by recent antibiotic use. This study extends sibling-microbiota evidence beyond infancy/toddlerhood by identifying three enterotypes with distinct microbial and short-chain fatty acid profiles. These findings clarify pathways linking family structure to gut environmental development and may inform microbiota-targeted disease prevention strategies.

Pediatric Research
Hyogo Medical University (JP), Chiba University (JP), Tohoku University (JP), University of Kochi (JP), Yokohama City University Medical Center (JP), National Center For Child Health and Development (JP), RIKEN Center for Integrative Medical Sciences (JP), University of Toyama (JP), The University of Tokyo (JP), Kōchi University (JP), Tohoku Medical and Pharmaceutical University (JP), Yokohama City University (JP), Hasanuddin University (ID)
Japan Agency for Medical Research and Development, University of Toyama, Japan Society for the Promotion of Science, RIKEN, Core Research for Evolutional Science and Technology, Moonshot Research and Development Program
Good health and well-being
Openalex Percentile: Top 24%
Gut microbiota and health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.