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Disrupted Tuzzerella abundance and impaired l-glutamine levels induce Treg accumulation in ovarian endometriosis: a comprehensive multi-omics analysis.

Authors :
Chen, Yichen
Ye, Lingfang
Zhu, Jue
Chen, Liang
Chen, Huan
Sun, Yuhui
Rong, Yishen
Zhang, Jing
Source :
Metabolomics. Apr2024, Vol. 20 Issue 2, p1-14. 14p.
Publication Year :
2024

Abstract

Introduction: The microbial community plays a crucial role in the pathological microenvironment. However, the structure of the microbial community within endometriotic lesions and its impact on the microenvironment is still limited. Methods: All 55 tissue samples, including ovarian ectopic (OEMs) and normal (NE) endometrium, were subjected to 16S rRNA sequencing, metabolomic and proteomic analysis. Results: We found the abundance of Tuzzerella is significantly lower in OEMs compared to NE tissue (p < 0.01). We selected samples from these two groups that exhibited the most pronounced difference in Tuzzerella abundance for further metabolomic and proteomic analysis. Our findings indicated that endometriotic lesions were associated with a decrease in l-Glutamine levels. However, proteomic analysis revealed a significant upregulation of proteins related to the complement pathway, including C3, C7, C1S, CLU, and A2M. Subsequent metabolic and protein correlation predictions demonstrated a negative regulation between l-Glutamine and C7. In vitro experiments further confirmed that high concentrations of Glutamine significantly inhibit C7 protein expression. Additionally, immune cell infiltration analysis, multiplex immunofluorescence, and multifactorial testing demonstrated a positive correlation between C7 expression and the infiltration of regulatory T cells (Tregs) in ectopic lesions, while l-Glutamine was found to negatively regulate the expression of chemotactic factors for Tregs. Conclusion: In this study, we found a clear multi-omics pathway alteration, "Tuzzerella (microbe)—l-Glutamine (metabolite)—C7 (protein)," which affects the infiltration of Tregs in endometriotic lesions. Our findings provide insights into endometriosis classification and personalized treatment strategies based on microbial structures. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15733882
Volume :
20
Issue :
2
Database :
Academic Search Index
Journal :
Metabolomics
Publication Type :
Academic Journal
Accession number :
176300742
Full Text :
https://doi.org/10.1007/s11306-023-02072-0