Evidence mapPaperPMID 40287692Full record

ArticleReproductive biology and endocrinology : RB&E2025

Granulosa cell RNA-Seq insights into senescence and sphingolipid metabolism disorder in PCOS: aspirin as a potential therapeutic drug.

Weiwei Shi, Hao Lin, Wu Di, Cong He, Yang Shen

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Article in Reproductive biology and endocrinology : RB&E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Weiwei Shi *Department of Obstetrics and Gynecology, Zhongda Hospital Affiliated to Southeast University, Nanjing, 210009, Jiangsu, China.
Hao Lin *Department of Medicine, Southeast University, Nanjing, 210009, Jiangsu, China.
Wu DiDepartment of Obstetrics and Gynecology, Zhongda Hospital Affiliated to Southeast University, Nanjing, 210009, Jiangsu, China.
Cong HeKey Laboratory of Innovative Applications of Bioresources and Functional Molecules of Jiangsu Province, College of Life Science and Chemistry, Jiangsu Second Normal University, Nanjing, 210013, Jiangsu, China.
Yang ShenDepartment of Obstetrics and Gynecology, Zhongda Hospital Affiliated to Southeast University, Nanjing, 210009, Jiangsu, China. shenyang@seu.edu.cn.

Funding

National Clinical Key Discipline Construction Funds czxm-zk-40National Natural Science Foundation of China 82372126,8207071577,82301900Natural Science Foundation of Jiangsu Province BK20210011Zhongda Hospital Affiliated to Southeast University, Jiangsu Province High-Level Hospital 2023GSPKY11, GSP-LCYJFH01
6 · The paper itself

Abstract

backgroundPolycystic ovary syndrome (PCOS) is a pivotal cause of anovulatory infertility and the pathogenesis remains elusive. Cellular senescence and sphingolipid metabolism disorder are closely intertwined, and both have been demonstrated present within the granulosa cells of PCOS, while research on the combined impact of senescence and sphingolipids on PCOS-related anovulation is scarce.

methodsHere, we leveraged four datasets of PCOS and executed differential gene expression analysis, engaged in WGCNA, and harnessed machine learning algorithms-including RF, SVM-RFE, and LASSO-to deeply explore the key genes that interact with senescence and sphingolipid metabolism in granulosa cells of PCOS. These key genes were subjected to further analysis to construct a diagnostic model, forecast immune cell infiltration, and identify potential agents. Additionally, within the testosterone-stimulated granulosa cells, we validated the expression of key genes, confirmed senescence and sphingolipids dysregulation, and evaluated the therapeutic efficacy of the candidate agent.

resultsOur research pinpointed a set of genes (LYN, PLCG2, STAT5B, MMP9, and IL6R) that showed promise as biomarkers for PCOS-related anovulation and the diagnostic nomogram was developed. These biomarkers were linked to various immune cell types infiltration. In testosterone-stimulated granulosa cells, we observed increased expression of these biomarkers, accompanied by signs of senescence and changes in sphingolipids. Importantly, the potential agent aspirin displayed the ability to ameliorate these two processes.

conclusionThis study highlighted the important value of genes associated with senescence and sphingolipids dysregulation in PCOS. Aspirin targeting senescence could be a promising therapeutic drug for addressing anovulation associated with PCOS.

Indexed as

AspirinCellular SenescenceGranulosa CellsPolycystic Ovary SyndromeSphingolipidsAdultFemaleHumansRNA-SeqAspirinSphingolipidsAnovulationCellular senescenceDiagnostic modelGranulosa cellPCOSSphingolipids dysregulation

Identifiers

PMID40287692
PMCPMC12032776

What Socratic holds

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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 Socratic graph.