Evidence map›Paper›PMID 42888303›Full record

ArticleNature metabolism2026

NNMT enhances hyperandrogenism in polyendocrine metabolic ovarian syndrome through epigenetic remodelling.

Weiwei Huang, Chuanjin Yu, Yishu Wang, Ningxia Sun, Liang Wang, Jun Ren, Yue Xu, Xinghui Guo, Xinyuan Li, Yiting Mao and 4 more

Abstract read
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In one paragraph

Article in Nature metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Weiwei HuangInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Chuanjin YuInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-6071-7669
Yishu WangInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-1176-3970
Ningxia SunDepartment of Reproductive Medicine, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Liang WangDepartment of Reproductive Medicine, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
Jun RenInstitute of Medical Genetics and Development, Key Laboratory of Reproductive Genetics (Ministry of Education) and Women's Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Yue XuInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Xinghui GuoZhongda Hospital, Advanced Institute for Life and Health, School of Public Health, Southeast University, Nanjing, China.
Xinyuan LiCenter for Reproductive Medicine, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Yiting MaoInstitute of Medical Genetics and Development, Key Laboratory of Reproductive Genetics (Ministry of Education) and Women's Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Jiexue PanInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-7125-9608
Tingting LiuZhongda Hospital, Advanced Institute for Life and Health, School of Public Health, Southeast University, Nanjing, China.
Hongbo YangInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China. hongboyang@fudan.edu.cn.ORCID http://orcid.org/0009-0004-2525-9462
Hefeng HuangInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China. huanghefg@hotmail.com.ORCID http://orcid.org/0000-0002-0195-985X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82088102National Natural Science Foundation of China (National Science Foundation of China) 82192864National Natural Science Foundation of China (National Science Foundation of China) 82271669
6 · The paper itself

Abstract

Polyendocrine metabolic ovarian syndrome (PMOS) features intertwined reproductive, endocrine and metabolic defects, yet its initiating mechanisms remain incompletely understood. Here we show that an epigenetic mechanism driven by nicotinamide N-methyltransferase (NNMT) in granulosa cells contributes to disease progression in PMOS. We observe that Nnmt overexpression in mouse granulosa cells reduces histone H3 lysine 27 trimethylation (H3K27me3), leading to increased retinoic acid receptor beta (RARB) expression. RARB, in turn, amplifies ovarian androgen synthesis. The resulting androgen excess further suppresses H3K27me3, locking cells into a feedforward loop that sustains hyperandrogenism and disrupts follicle development. Pharmacological inhibition of NNMT restores H3K27me3, disrupts the RARB-androgen feedback circuit, and ameliorates both metabolic and hormonal phenotypes in PMOS models. Our findings suggest NNMT as a regulator of PMOS through metabolic and epigenetic reprogramming. The NNMT-H3K27me3-RARB-androgen axis emerges as a mechanistic nexus linking methionine and epigenetic dysregulation to PMOS pathogenesis and represents a tractable therapeutic target.

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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.