Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts

Lijun Ning(Shanghai Jiao Tong University), Yilu Zhou(Shanghai Jiao Tong University), Han Sun(Xuzhou Medical College), Youwei Zhang(Xuzhou Medical College), Chaoqin Shen(Sun Yat-sen University), Zhenhua Wang(Shanghai Jiao Tong University), Baoqin Xuan(Shanghai Jiao Tong University), Ying Zhao(Shanghai Jiao Tong University), Yanru Ma(Shanghai Jiao Tong University), Yuqing Yan(Shanghai Jiao Tong University), Tianying Tong(Shanghai Jiao Tong University), Xiaowen Huang(Shanghai Jiao Tong University), Muni Hu(Shanghai Jiao Tong University), Xiaoqiang Zhu(Shanghai Jiao Tong University), Jinmei Ding(Shanghai Jiao Tong University), Yue Zhang(Xuzhou Medical College), Zhe Cui(Shanghai Jiao Tong University), Jing‐Yuan Fang(Shanghai Jiao Tong University), Haoyan Chen(Shanghai Jiao Tong University), Jie Hong(Shanghai Jiao Tong University)
Nature Communications
November 6, 2023
Cited by 228Open Access
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Abstract

The perturbations of the gut microbiota and metabolites are closely associated with the progression of inflammatory bowel disease (IBD). However, inconsistent findings across studies impede a comprehensive understanding of their roles in IBD and their potential as reliable diagnostic biomarkers. To address this challenge, here we comprehensively analyze 9 metagenomic and 4 metabolomics cohorts of IBD from different populations. Through cross-cohort integrative analysis (CCIA), we identify a consistent characteristic of commensal gut microbiota. Especially, three bacteria, namely Asaccharobacter celatus, Gemmiger formicilis, and Erysipelatoclostridium ramosum, which are rarely reported in IBD. Metagenomic functional analysis reveals that essential gene of Two-component system pathway, linked to fecal calprotectin, are implicated in IBD. Metabolomics analysis shows 36 identified metabolites with significant differences, while the roles of these metabolites in IBD are still unknown. To further elucidate the relationship between gut microbiota and metabolites, we construct multi-omics biological correlation (MOBC) maps, which highlights gut microbial biotransformation deficiencies and significant alterations in aminoacyl-tRNA synthetases. Finally, we identify multi-omics biomarkers for IBD diagnosis, validated across multiple global cohorts (AUROC values ranging from 0.92 to 0.98). Our results offer valuable insights and a significant resource for developing mechanistic hypotheses on host-microbiome interactions in IBD.


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