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Luo X, Dong Y, Zheng H, Zhou X, Rong L, Liu X, Bai Y, Li Y, Wu Z. CAPN2 correlates with insulin resistance states in PCOS as evidenced by multi-dataset analysis. J Ovarian Res 2024; 17:79. [PMID: 38610028 PMCID: PMC11015649 DOI: 10.1186/s13048-024-01407-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
OBJECTIVE IR emerges as a feature in the pathophysiology of PCOS, precipitating ovulatory anomalies and endometrial dysfunctions that contribute to the infertility challenges characteristic of this condition. Despite its clinical significance, a consensus on the precise mechanisms by which IR exacerbates PCOS is still lacking. This study aims to harness bioinformatics tools to unearth key IR-associated genes in PCOS patients, providing a platform for future therapeutic research and potential intervention strategies. METHODS We retrieved 4 datasets detailing PCOS from the GEO, and sourced IRGs from the MSigDB. We applied WGCNA to identify gene modules linked to insulin resistance, utilizing IR scores as a phenotypic marker. Gene refinement was executed through the LASSO, SVM, and Boruta feature selection algorithms. qPCR was carried out on selected samples to confirm findings. We predicted both miRNA and lncRNA targets using the ENCORI database, which facilitated the construction of a ceRNA network. Lastly, a drug-target network was derived from the CTD. RESULTS Thirteen genes related to insulin resistance in PCOS were identified via WGCNA analysis. LASSO, SVM, and Boruta algorithms further isolated CAPN2 as a notably upregulated gene, corroborated by biological verification. The ceRNA network involving lncRNA XIST and hsa-miR-433-3p indicated a possible regulatory link with CAPN2, supported by ENCORI database. Drug prediction analysis uncovered seven pharmacological agents, most being significant regulators of the endocrine system, as potential candidates for addressing insulin resistance in PCOS. CONCLUSIONS This study highlights the pivotal role of CAPN2 in insulin resistance within the context of PCOS, emphasizing its importance as both a critical biomarker and a potential therapeutic target. By identifying CAPN2, our research contributes to the expanding evidence surrounding the CAPN family, particularly CAPN10, in insulin resistance studies beyond PCOS. This work enriches our understanding of the mechanisms underlying insulin resistance, offering insights that bridge gaps in the current scientific landscape.
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Affiliation(s)
- Xi Luo
- Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China.
- Medical school, Kunming University of Science and Technology, Kunming, China.
- Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China.
- Reproductive Medical Center of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
| | - Yunhua Dong
- Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China
- Reproductive Medical Center of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Haishan Zheng
- Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China
- Reproductive Medical Center of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Xiaoting Zhou
- Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China
- Medical school, Kunming University of Science and Technology, Kunming, China
| | - Lujuan Rong
- Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China
- Medical school, Kunming University of Science and Technology, Kunming, China
| | - Xiaoping Liu
- Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China
- Medical school, Kunming University of Science and Technology, Kunming, China
| | - Yun Bai
- Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming, China
- Medical school, Kunming University of Science and Technology, Kunming, China
- Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China
- Reproductive Medical Center of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Yunxiu Li
- Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China.
- Reproductive Medical Center of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
| | - Ze Wu
- Department of Reproductive Medicine, NHC Key Laboratory of Healthy Birth and Birth Defect Prevention in Western China, the First People's Hospital of Yunnan Province, Kunming, China.
- Reproductive Medical Center of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
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