Correlation of fecal metabolomics and gut microbiota in mice with endometriosis

Zhexin Ni, Shuai Sun, Yanli Bi, Jie Ding, Wen Cheng, Jin Yu, Ling Zhou, Ming‐Qing Li, Chaoqin Yu
American journal of reproductive immunology (New York, N.Y. : 1989) · 2020 · vol. 84(6) , pp. e13307 · doi:10.1111/aji.13307 · PMID:32681566 · W3043531512
article OA: closed CC0 ⤵ 48 in-corpus citations
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⚙ AI-generated summary by claude@2026-06, 2026-06-08 ⓘ

This study investigated fecal metabolomics and gut microbiota in endometriosis mice, finding decreased microbial diversity and abundance, altered bile acid and linolenic acid metabolism, and a correlation between specific metabolites and microbial dysbiosis.

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Abstract

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-EOTrE were found in the feces of EMS mice. CONCLUSION: The abnormal fecal metabolites, which are influenced by dysbacteriosis, may be the characteristics of EMS mice and can be the potential important indices to distinguish the disease.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Dysbiosis Endometriosis Gastrointestinal Microbiome RNA, Ribosomal, 16S alpha-Linolenic Acid Animals Bile Acids and Salts Bile Acids and Salts Chenodeoxycholic Acid Disease Models, Animal Dysbiosis Dysbiosis Endometriosis Endometriosis Feces Feces Female Gastrointestinal Microbiome Humans Metabolomics

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

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