Cell Reports MedicineMicrobiologyPeer-reviewed journal article
Core gastric microbiota linked to pathogenesis and preserved across age stratified cohorts
Weidong HuangiD, Qiujin Chen, Xuejie Gao, Gaocheng Yi, Yongyuan Su, Jiayi Shen, Tao Zhang, Hao Zhang, Yanbin CheniD, Yingying Yu, Wen Wang, He‐wei JiangiD, Zhaowei XuiD
Abstract
Mounting evidences reveal a complex microbial niche in gastric environment. Nevertheless, the phylogenetic stability of gastric microbiota remains undetermined. Here, using full-length 16S rRNA and ITS amplicon sequencing applied to gastric brushes from a pediatric endoscopic cohort (n=243), we identified a core microbiota comprising 11 genera, which clustered into two antagonistic communities (CST1A and CST1B). CST1A was enriched in healthy subjects, while CST1B correlated with gastroduodenal disease. Notably, this bipartite architecture arose through bacterial interactions, with fungal taxa demonstrating minimal integration. Further stratified analyses revealed that H. pylori infection preferentially depleted CST1A taxa. The subclusters exhibited divergent metabolic profiles, with CST1A specializing in motility processes and CST1B in nucleotide/peptidoglycan synthesis. Cross-cohort validation of six datasets (n=1,183) confirmed the persistent relevance of the CST1A-CST1B structure across disease stages. Collectively, our findings define a core gastric microbiota established in early life, linked to gastric disease risk, and persisting into adulthood. HighlightsO_LIIdentification of a gastric bacterial network established in early life. C_LIO_LIDysbiosis in two subclusters within the core microbiota is associated with pediatric peptic ulcers. C_LIO_LIHelicobacter pylori infection reduces the abundance of the core microbiota, with a particularly greater inhibitory effect on CST1A. C_LIO_LIThe core microbiota is preserved across age stratified cohorts and is associated with gastric cancer. C_LI
- organism: human
- assay: metagenomics
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
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- FWCI
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- Field percentile
- 0th percentile
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