Evidence map›Paper›PMID 41254807›Full record

ReviewJournal of ovarian research2025

Role and interaction of LncRNAs and insulin resistance in polycystic ovary syndrome: a narrative review.

Mengfan Peng, Xiaofang Zhang, Xue Yang, Tingting Ye, Baosong Liu

Abstract readReview
In one paragraph

Review 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.

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

5 authors.

Mengfan PengFaculty of Medicine, HuangHuai University, Zhumadian, 463000, China.
Xiaofang ZhangFaculty of Medicine, HuangHuai University, Zhumadian, 463000, China.
Xue YangFaculty of Medicine, HuangHuai University, Zhumadian, 463000, China.
Tingting YeFaculty of Medicine, HuangHuai University, Zhumadian, 463000, China.
Baosong LiuDepartment of Pharmacy, Zhumadian Traditional Chinese Medicine Hospital, Zhumadian, 463000, China. liubaosong647@163.com.

Funding

Henan Science and Technology Research 252102310525Key Research Projects of Higher Education Institutions in Henan Province 25A360001National Research Project Cultivation Fund of Huanghuai University in 2024 No. XKPY-2024012
6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a complex disorder involving reproductive, endocrine, and metabolic abnormalities and is characterized by irregular menstruation, infrequent or absent ovulation, elevated androgen levels, insulin resistance (IR), and polycystic ovarian morphology (PCOM). It is the main cause of female infertility and high miscarriage rates and leads to high incidence of metabolic diseases. The pathogenesis of PCOS is complex, and IR is a crucial pathophysiological mechanism involved in multiple processes, such as ovulatory dysfunction, reproductive endocrine abnormalities, and metabolic disorders. Notably, long noncoding RNAs (lncRNAs), potential novel biomarkers and intervention targets for predicting the development of PCOS, have been shown to have a reciprocal regulatory relationship with IR in the context of PCOS therapy. A comprehensive analysis of lncRNAs and IR in PCOS is presented in this paper, highlighting the potential for mutual synergistic effects. Specifically, we discuss the mechanisms underlying lncRNAs and IR, emphasizing their ability to regulate reproductive endocrine disorders and metabolic abnormalities. Furthermore, we investigated the interactions between lncRNAs and IR in the pathogenesis, treatment, and prognosis of PCOS. We aim to provide a prospective view of the promising value of combining lncRNAs and IR in the treatment of PCOS by elucidating the roles and mutual regulatory network of lncRNAs and IR.

Indexed as

Insulin ResistancePolycystic Ovary SyndromeRNA, Long NoncodingFemaleHumansRNA, Long NoncodingInsulin resistanceLong noncoding RNAPathogenesisPolycystic ovary syndrome

Identifiers

PMID41254807
PMCPMC12625325

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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.