Evidence map›Paper›PMID 42894247›Full record

ArticleGenome medicine2026

Cell-resolved genetic risk reveals hyperandrogenism-associated immune and metabolic rewiring in the PMOS follicular microenvironment.

Yangshuo Li, Di Song, Dongxue Zheng, Xianglin Li, Qianqian Zhao, Yan Liao, Jie Ding, Xiaolan Liang, Mingqing Li, Chaoqin Yu and 2 more

Abstract read
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Article in Genome medicine, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yangshuo Li *Department of Traditional Chinese Gynecology, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Di Song *Department of Assisted Reproduction, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Dongxue Zheng *Guang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Xianglin Li *Department of Traditional Chinese Gynecology, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Qianqian Zhao *Department of Traditional Chinese Gynecology, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Yan LiaoGuang' Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Jie DingDepartment of Traditional Chinese Gynecology, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Xiaolan LiangDepartment of Traditional Chinese Gynecology, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Mingqing LiDepartment of Reproductive Immunology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China. mqli@sjtu.edu.cn.
Chaoqin YuDepartment of Traditional Chinese Gynecology, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China. cqyu@smmu.edu.cn.
Zhexin NiAcademy of Military Medical Sciences, Beijing, 100850, China. nizxzg@163.com.
Jin YuDepartment of Traditional Chinese Gynecology, the First Affiliated Hospital of Naval Medical University, Shanghai, 200433, China. 395005545@163.com.

Funding

Medical New Technology Innovation Cultivation Project of the First Affiliated Hospital of Naval Medical University ZXJS2024B20National Outstanding Young Scientist Training Program by Chinese Academy of Sciences ZZ18-YQ-026Shanghai "Science and Technology Innovation Action Plan" by Science and Technology Commission of Shanghai Municipality 23ZR1478600Subordinate Project of Guang'anmen Hospital by China Academy of Chinese Medical Sciences 2022s477the National Natural Science Foundation of China 82405469the National Natural Science Foundation of China 82474281
6 · The paper itself

Abstract

backgroundPolyendocrine metabolic ovarian syndrome (PMOS) is a leading cause of anovulatory infertility. Although follicular developmental arrest is a defining feature of PMOS, the cell-type-specific mechanisms linking genetic susceptibility, endocrine imbalance and follicular microenvironmental dysfunction remain incompletely understood, particularly across clinical subtypes.

methodsWe performed single-cell RNA sequencing of preovulatory follicular-fluid cells from healthy controls and women with uncomplicated PMOS, hyperandrogenic PMOS and metformin-treated insulin-resistant PMOS. We integrated these data with GWAS-derived disease relevance scores and ovarian chromatin-accessibility annotations to map genetic risk to follicular cell populations and regulatory programmes. Ligand-receptor analyses were used to infer intercellular communication networks. Transcriptomic metabolic findings were further assessed by follicular-fluid metabolic and steroid-hormone measurements, DHT-treated granulosa-cell functional assays, and reanalysis of a DHEA-induced mouse PMOS-like ovarian dataset.

resultsWe generated a single-cell atlas of the PMOS follicular microenvironment comprising 220,983 high-quality cells. Granulosa cells showed the strongest enrichment of PMOS-related genetic risk, with regulatory-genetic support from ovarian snATAC-seq integration. Among granulosa cell states, a GC2_CYP19A1⁺ population was preferentially associated with hyperandrogenic PMOS and displayed a transcriptional programme characterized by steroidogenic remodelling coupled to reduced energy-metabolic activity. Biochemical profiling supported this endocrine-metabolic imbalance, showing increased follicular-fluid androstenedione (ASD) and estrone, reduced estradiol and E2/ASD ratio, decreased ATP, citrate and fumarate hydratase activity, and increased lactate and β-hydroxybutyrate. Prolonged DHT exposure impaired granulosa-cell mitochondrial respiration, ATP production and mitochondrial membrane potential. In parallel, PMOS subtypes showed immune remodelling and altered ligand-receptor signalling, with hyperandrogenic PMOS associated with increased inflammatory signalling and reduced homeostatic or tissue-repair pathways. Reanalysis of a DHEA-induced mouse ovarian dataset provided supportive evidence for androgen-associated steroidogenic pathway perturbation.

conclusionsThis study provides a cell-resolved framework linking PMOS genetic susceptibility to endocrine-metabolic and immune remodelling in the preovulatory follicular microenvironment. The identification of a hyperandrogen-associated GC2_CYP19A1⁺ state highlights a candidate cellular programme in which steroidogenic imbalance is coupled to impaired granulosa-cell bioenergetics. These findings provide a resource for future validation and may inform microenvironment-guided stratification of PMOS and the development of strategies aimed at restoring follicular function.

Indexed as

Cellular MicroenvironmentGenetic Predisposition to DiseaseHyperandrogenismMetabolic SyndromeOvarian FollicleAnimalsFemaleFollicular FluidGenome-Wide Association StudyGranulosa CellsHumansMiceTranscriptomeGenome-wide association studiesGranulosa cellHyperandrogenismPolyendocrine metabolic ovarian syndromeSingle-cell RNA sequencing

Identifiers

PMID42894247
PMCPMC13679019

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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.