Evidence map›Paper›PMID 41383742›Full record

ArticleFrontiers in microbiology2025

Integrated multi-omics reveals distinct maternal and neonatal gut microbial and metabolic signatures associated with small for gestational age status.

Xiangyu Bian, Huisong Xu, Jianqiang Li, Jian Kuang, Fangshu Shi, Xiaoqiong Li, Jinjun Li

Abstract read
In one paragraph

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

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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

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiangyu Bian *State Key Laboratory for Quality and Safety of Agro-products & Food Sciences Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Huisong Xu *Obstetrical Department of Hangzhou Linping District Maternal & Child Health Care Hospital, Hangzhou, Zhejiang, China.
Jianqiang LiState Key Laboratory for Quality and Safety of Agro-products & Food Sciences Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Jian KuangState Key Laboratory for Quality and Safety of Agro-products & Food Sciences Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Fangshu ShiState Key Laboratory for Quality and Safety of Agro-products & Food Sciences Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Xiaoqiong LiState Key Laboratory for Quality and Safety of Agro-products & Food Sciences Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Jinjun LiState Key Laboratory for Quality and Safety of Agro-products & Food Sciences Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Children born small for gestational age (SGA) have an elevated risk of developing metabolic disorders in later life. However, the underlying gut microbiota and metabolomic alterations in SGA mother-infant dyads remain poorly understood. Methods: We performed an integrated analysis of fecal metagenomics, metabolomics, and short-chain fatty acids (SCFAs) profiling in 10 SGA and 10 appropriate for gestational age (AGA) mother-infant dyads at term. Taxonomic composition, microbial functional pathways, carbohydrate-active enzyme (CAZyme) profiles, differential metabolites, and metabolite pathway enrichment were systematically evaluated. Results and discussion: SGA neonates exhibited reduced microbial richness (Chao1 index), distinct beta-diversity, and differential abundance of key bacterial species including increased Enterococcus faecalis and Escherichia coli. Functionally, SGA maternal subjects showed divergent profiles in CAZyme genes, with lower abundance of glycoside hydrolase family 13 subfamily 16, glycosyl transferase family 66, and carbohydrate-binding module family 6, and altered structural polysaccharide degradation capacity. Metabolomic profiling revealed significant perturbations in tryptophan metabolism pathways, notably enriched in kynurenine and taurine derivatives in SGA mother and neonates. Notably, SCFA profiles were disrupted, with increased butyrate in SGA mother and reduced propionate and isobutyrate in SGA neonates. Microbe-metabolite correlation networks revealed strong associations between SGA-specific bacterial taxa and fecal metabolites. In conclusion, our analysis identifies distinct features of the early fecal microbiome and metabolome within 48 h of birth in SGA neonates compared with AGA peers, reflecting differences in initial colonization and metabolism that warrant longitudinal follow-up.

Indexed as

metabolomemetagenomeshort-chain fatty acidsmall for gestational age infantstryptophanmetabolism

Identifiers

PMID41383742
PMCPMC12690562

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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.