State Key Laboratory of Systems Medicine for Cancer; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Division of Gastroenterology and Hepatology; Shanghai Cancer Institute; Shanghai Institute of Digestive Disease; Renji Hospital, Shanghai Jiao Tong University School of Medicine. 145 Middle Shandong Road, Shanghai, 200001, China.
Department of Gastroenterology, Xuzhou Central Hospital, Clinical School of Xuzhou Medical University, Xuzhou, China.
Nat Commun. 2023 Nov 6;14(1):7135. doi: 10.1038/s41467-023-42788-0.
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.
肠道微生物群和代谢物的紊乱与炎症性肠病(IBD)的进展密切相关。然而,研究结果的不一致性阻碍了人们对其在 IBD 中的作用及其作为可靠诊断生物标志物的潜力的全面理解。为了解决这一挑战,我们在这里全面分析了来自不同人群的 9 个宏基因组学和 4 个代谢组学 IBD 队列。通过跨队列综合分析(CCIA),我们确定了共生肠道微生物群的一致特征。特别是,三种细菌,即 Asaccharobacter celatus、Gemmiger formicilis 和 Erysipelatoclostridium ramosum,在 IBD 中很少被报道。宏基因组功能分析表明,与粪便钙卫蛋白相关的双组分系统途径的必需基因与 IBD 有关。代谢组学分析显示了 36 种具有显著差异的鉴定代谢物,而这些代谢物在 IBD 中的作用仍不清楚。为了进一步阐明肠道微生物群和代谢物之间的关系,我们构建了多组学生物相关性(MOBC)图谱,突出了肠道微生物生物转化缺陷和氨酰-tRNA 合成酶的显著改变。最后,我们确定了用于 IBD 诊断的多组学生物标志物,在多个全球队列中得到了验证(AUROC 值范围从 0.92 到 0.98)。我们的研究结果为进一步发展 IBD 中宿主-微生物群相互作用的机制假说提供了有价值的见解和重要资源。