Correlation of fecal metabolomics and gut microbiota in mice with endometriosis

Study information

Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/23

study design

laboratory experiment

Citation

PMID PubMed identifier for scientific articles.

32681566

DOI Digital object identifier for electronic documents.

10.1111/aji.13307

URI

Authors

Ni Z, Sun S, Bi Y, Ding J, Cheng W, Yu J, Zhou L, Li M, Yu C

Journal

American journal of reproductive immunology (New York, N.Y. : 1989)

Year

2020

Keywords:

endometriosis, intestines, metabolomics, microbiota

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.

Experiment 1

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/23

Curated date: 2021/08/09

Curator: Samara.Khan

Revision editor(s): WikiWorks, Samara.Khan, Peace Sandy, Tosin

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Mus musculus

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Endometriosis endometriosis,Endometriosis (clinical),endometriosis (disease),Endometriosis (disorder),Endometriosis (morphologic abnormality),ENDOMETRIOSIS NEC,Endometriosis NOS,Endometriosis NOS (disorder),Endometriosis of other specified sites,Endometriosis, site unspecified,Endometriosis

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Non-endo mice

Group 1 name Corresponds to the case (exposed) group for case-control studies: Endo mice

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Endometriosis was induced in female mice via transplantation of endometrial fragments.

Group 0 sample size Number of subjects in the control (unexposed) group: 6

Group 1 sample size Number of subjects in the case (exposed) group: 6

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: Mann-Whitney (Wilcoxon)

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: No

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: decreased

Signature 1

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/23

Curated date: 2021/08/09

Curator: Samara.Khan

Revision editor(s): Samara.Khan, Claregrieve1, WikiWorks

Source: Figure 3 and Results section

Description: Differential microbial abundance of mice with simulated endometriosis compared to controls.

Abundance in Group 1: decreased abundance in Endo mice

NCBI	Quality Control	Links
Anaerostipes
Bacteroides
Blautia
Eisenbergiella
Faecalitalea
Bacillota
Gordonibacter
Lachnospiraceae bacterium NK4A136
Lactobacillus
Prevotellaceae
Roseburia
Tyzzerella