Integrated transcriptomic and co-expression network analysis identifies immune-metabolic biomarkers of polycystic ovary syndrome in granulosa cells
Our findings highlight granulosa cells as central mediators of immune-metabolic disruption in PCOS and identify CLDN11, HLA-DMA, TAB3, COLQ, and LYN as potential biomarkers and regulatory targets. The integrative approach combining bioinformatics and in vitro validation provides new insights into the pathophysiology of PCOS and supports future development of cell-specific diagnostic and therapeutic strategies.
Authors
- Xiaona Tian (ORCID: https://orcid.org/0009-0008-2410-9509)
- Xiaoyan You (ORCID: https://orcid.org/0000-0002-4801-874X)
- Longzhi Mei (ORCID: https://orcid.org/0000-0002-0274-6231)
- Man Luo (ORCID: https://orcid.org/0000-0002-9975-2434)
- Dongmei Zhang (ORCID: https://orcid.org/0000-0001-8586-4921)
- Ao Li (ORCID: https://orcid.org/0000-0002-7130-2386)
- Xiaofeng Yang (ORCID: https://orcid.org/0000-0001-9574-0826)
- Xiao Cheng (ORCID: https://orcid.org/0000-0001-9825-2107)
- Mengsi Zhou
- Biao Yu (ORCID: https://orcid.org/0000-0003-4365-7726)
- Guomei Zhang (ORCID: https://orcid.org/0009-0000-6936-4484)
- Wenzhi Liu (ORCID: https://orcid.org/0000-0002-6832-4576)
- Haoran Li (ORCID: https://orcid.org/0000-0002-8485-9378)
Institutions
- Anhui Medical University (CN)
- Zhengzhou University (CN)
- Research Institute for Farm Animal Biology (FBN) (DE)
- Zhengzhou Central Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- University of Rostock (DE)
Publication Details
- Journal
- Journal of Ovarian Research
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s13048-025-01835-8
- Citations
- 2
- Primary Topic
- Ovarian function and disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.40
Funders
- Zhengzhou University
- Education Department of Henan Province
- Anhui Provincial Department of Education