Evidence map›Paper›PMID 41146316›Full record

ArticleJournal of ovarian research2025

Integrative metaprogram analysis reveals transcriptional dysregulation of oxidative stress response in granulosa cells from polycystic ovary syndrome.

Yunxiu Li, Lei Li, Haishan Zheng, Lanping Zhong, Weiyuan Li, Lei Ding, Manqin Zhang, Zhenlin He, Xi Luo

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Article in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

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.
Lei 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.
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.
Lanping ZhongDepartment 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.
Weiyuan LiDepartment 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.
Lei DingDepartment 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.
Manqin ZhangDepartment 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.
Zhenlin HeDepartment 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.
Xi LuoDepartment 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. luoxi_ypfph@163.com.

Funding

Joint Key Project of Kunming University of Science and Technology KUST-KH2023004ZJoint Special Funds for the Department of Science and Technology of Yunnan Province‑Kunming Medical University 202401AY070001-344Joint Special Funds for the Department of Science and Technology of Yunnan Province‑Kunming Medical University 202501AY070001-001Kunming University of Science and Technology Medical School Research Development Fund SRDP-2023-003National Natural Science Foundation of China 82260292Open Project of National Health Commission Key Laboratory for Western Reproductive Health and Birth Defect Prevention and Control 2024XBYSKF017Open Project of Yunnan Provincial Key Specialty of Gynecology 2022FKZDZK-13Open Project of Yunnan Provincial Reproductive and Obstetrics and Gynecology Clinical Medicine Center 2022LCZXKF-SZ16Open Project of Yunnan Provincial Reproductive and Obstetrics and Gynecology Clinical Medicine Center 2022LCZXKF-SZ21Social development projects of Yunnan Province 202302AA310044XingDianYingCai Program of Yunnan Province XDYC-YLWS-2024-0080Yunnan Fundamental Research Projects 202501AT070043Yunnan Health Training Project of High Level Talents H-2024006
6 · The paper itself

Abstract

objectiveThe molecular mechanisms underlying polycystic ovary syndrome (PCOS) pathogenesis were investigated using an integrative metaprogram analysis framework, with specific focus on oxidative stress-related pathways through combined single-cell and bulk RNA sequencing approaches.

methodsThree datasets were integrated: a single-cell RNA-seq dataset (GSE240688), a laboratory-generated bulk RNA-seq dataset, and a validation microarray dataset (GSE34526). Transcriptional programs in granulosa cells were identified by non-negative matrix factorization, while dysregulated genes were characterized by differential expression and weighted gene co-expression network analyses. An integrative transcriptomic approach was employed to identify key regulatory genes at the intersection of these complementary analytical methods.

resultsTen distinct transcriptional metaprograms in granulosa cells were identified, among which three predominant subtypes were validated in 193 GTEx ovary samples through deconvolution analysis, with metaprogram 4 (MP4) significantly enriched in PCOS samples and associated with oxidative stress response pathways. 199 consistently dysregulated genes across independent patient cohorts were revealed by differential expression analysis. Through integrative analysis, glutathione peroxidase 3 (GPX3) was identified as the only gene present across all three analytical approaches. GPX3 was significantly upregulated in PCOS samples with robust discriminatory power (AUC > 0.8) and was functionally associated with insulin signaling, glucose metabolism, and mitochondrial pathways, suggesting its role in connecting oxidative stress and metabolic dysfunction.

conclusionsOxidative stress responses were revealed as central to PCOS pathophysiology by our comprehensive integrative transcriptomic approach, with GPX3 identified as a key regulatory node connecting metabolic and reproductive dysfunction. A molecular basis for the oxidative stress-mediated pathology in PCOS is established by these findings.

Indexed as

Granulosa CellsOxidative StressPolycystic Ovary SyndromeFemaleGene Expression ProfilingGene Regulatory NetworksGlutathione PeroxidaseHumansTranscriptomeGlutathione PeroxidaseGPX3 protein, humanGlutathione peroxidase 3Granulosa cellsMetaprogram analysisOxidative stressPolycystic ovary syndromeTranscriptomic integration

Identifiers

PMID41146316
PMCPMC12557849

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.