Development of a predictive framework for ovarian reserve decline based on pelvic microbiota dysbiosis
Women with a BMI ≥ 24.0 face an increased risk of ovarian function decline. If pelvic microbiota profiling further reveals dysbiosis, particularly <i>Capnocytophaga</i> enrichment, early microbial screening and individualized probiotic treatment with <i>Lactobacillus</i> or <i>Bifidobacterium</i> may be warranted. This strategy embodies the core principles of predictive, preventive, and personalized medicine (PPPM/3PM).
Authors
- Zaigui Wu
- Lili Cao (ORCID: https://orcid.org/0000-0002-6878-4599)
- Tao Zhang (ORCID: https://orcid.org/0000-0002-1450-1936)
- Ketan Chu
- Wen‐Hui Shen (ORCID: https://orcid.org/0000-0001-7988-6382)
- Chanyuan Li
- Jianhong Zhou (ORCID: https://orcid.org/0000-0001-9829-8076)
- Junnan Li (ORCID: https://orcid.org/0000-0002-7422-0765)
- Jie Luo (ORCID: https://orcid.org/0000-0002-0791-1419)
- Wenxian Xu
Institutions
- Brigham and Women's Hospital (US)
- Hangzhou Women’s Hospital (CN)
- Women's Hospital, School of Medicine, Zhejiang University (CN)
- Zigong First People's Hospital (CN)
Publication Details
- Journal
- The EPMA Journal
- Published
- 2025-08-09
- DOI
- https://doi.org/10.1007/s13167-025-00417-4
- Citations
- 1
- Primary Topic
- Reproductive tract infections research
- Type
- article
- Field-Weighted Citation Impact
- 1.18