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Characterization and Functional Prediction of Bacteria in Ovarian Tissues
Published on: October 23, 2021
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The gut microbiome and ovarian cysts: a mendelian randomization study
Jiahui Qu1, Liying Zhang2,3
1The Second Hospital of Harbin Medical University, No. 246 Xue Fu Road, Nangang District, Harbin, China.
Journal of Ovarian Research
|August 19, 2025
Summary
This study explored the gut microbiome
Area of Science:
- Microbiome Research
- Gynecologic Health
- Genetic Epidemiology
Background:
- Emerging evidence links the gut microbiome to various diseases.
- The specific causal relationship between gut microbial composition and ovarian cysts is not well-established.
- Understanding these links is crucial for advancing gynecologic health research.
Purpose of the Study:
- To investigate potential causal effects of gut microbial genera on the development of ovarian cysts.
- To identify specific gut microbes that may increase or decrease the risk of ovarian cysts.
- To provide a foundation for future research into microbe-mediated mechanisms in ovarian cyst pathogenesis.
Main Methods:
- A two-sample Mendelian randomization (MR) analysis was employed.
- Utilized summary statistics from large-scale genome-wide association studies (GWAS) for gut microbiome and ovarian cysts.
- Applied Inverse Variance Weighted (IVW) as the primary method, with supporting analyses (Simple mode, MR-Egger, weighted median, weighted mode) and sensitivity analyses (Cochran's Q, MR-Egger regression, MR-PRESSO, leave-one-out).
Main Results:
- Identified 17 gut microbial genera with suggestive causal associations with ovarian cysts.
- Nine genera were implicated as potential risk factors for ovarian cysts.
- Eight genera were identified as potentially protective against ovarian cysts.
Conclusions:
- The gut microbiome plays a potentially causal role in the development of ovarian cysts.
- Specific gut microbial genera may act as either risk or protective factors.
- Findings offer novel insights into microbe-host interactions relevant to ovarian cyst etiology and clinical management.

