Correlation of fecal metabolomics and gut microbiota in mice with endometriosis

作者：Zhexin Ni, Shuai Sun, Yanli Bi, Jie Ding, Wen Cheng, Jin Yu, Ling Zhou, Ming‐Qing Li, Chaoqin Yu · 发表于：American Journal of Reproductive Immunology · 年份：2020 · DOI：10.1111/aji.13307 · 被引用次数：87 · 研究领域：Endometriosis Research and Treatment、Reproductive tract infections research、Gut microbiota and health

PROBLEM: Endometriosis (EMS) is a chronic inflammatory disease with unclear pathogenesis. Three studies have uncovered the influence of gut microbiota on mice with EMS, but no study has investigated the characteristics of fecal metabolomics to determine some important clues on EMS. This research aims to uncover the interaction between fecal metabolomics and gut microbiota in EMS mice. METHOD OF STUDY: Female C57BL/6J mice were used to construct the EMS model. Non-target metabolomics was applied to detect the fecal metabolites of EMS mice. The 16s rRNA sequencing was used for clarifying the composition of the gut microbiota. The functional characteristics of gut microbiota were analyzed using the PICRUSt. The receiver operator characteristic curve (ROC) analysis was utilized for determining the potential important differential metabolites, and the Spearman correlation coefficient was applied for expressing the correlation between the important differential metabolites and gut microbiota. RESULTS: A total of 156 named differential metabolites were screened. The diversity and the abundance of gut microbiota in EMS mice decreased. Eleven pathways were involved in the differential metabolites and the functional prediction of gut microbiota, among which the second bile acid biosynthesis and alpha-linolenic acid (ALA) metabolism were the significant enrichment pathways. The increased abundance of chenodeoxycholic and ursodeoxycholic acids and the decreased abundance of ALA and 12,13...