Evidence mapPaperPMID 42042922Full record

ReviewMetabolites2026

Diagnostic Criteria and Genetic Basis of Polycystic Ovary Syndrome: A Narrative Review.

María de Los Angeles Cepero-González, Adriana Aguilar-Galarza, Víctor Manuel Rodríguez-García, Teresa García-Gasca, Ulisses Moreno Celis

Abstract readReview
In one paragraph

Review in Metabolites, 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

5 authors.

María de Los Angeles Cepero-GonzálezFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro 76230, Mexico.
Adriana Aguilar-GalarzaFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro 76230, Mexico.
Víctor Manuel Rodríguez-GarcíaCentro de Investigación e innovación en Nutrición y Salud, Universidad Autónoma de Querétaro, Querétaro 76230, Mexico.ORCID 0000-0003-0243-6476
Teresa García-GascaFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro 76230, Mexico.ORCID 0000-0002-8793-9963
Ulisses Moreno CelisFacultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Querétaro 76230, Mexico.ORCID 0000-0003-3751-6601

Funding

Autonomous University of Queretaro FNB202502
6 · The paper itself

Abstract

This study reviews the main candidate genes involved in the pathophysiology of Polycystic Ovary Syndrome (PCOS). PCOS is a common endocrine-metabolic disorder in women of reproductive age, characterized by menstrual irregularity, hyperandrogenism, and polycystic ovarian morphology. It is associated with increased metabolic and cardiovascular risk and is a leading cause of infertility. Although its pathophysiology is not fully understood, alterations in the hypothalamic-pituitary-ovarian axis, insulin metabolism, and steroidogenesis have been described. Polymorphisms in genes encoding hormones, enzymes, and receptors in these pathways contribute to clinical variability and ethnic differences, offering potential for early diagnosis and personalized medicine. This review summarizes key candidate genes related to insulin metabolism (INS, INSR, IRS-1), the hypothalamic-pituitary-ovarian axis (LHβ, LHCGR, FSHR, GnRHR, AMH, AMHR2, KISS1, CAPN10), steroidogenesis (CYP11A, CYP17A1, CYP19A1, CYP21, 17β-HSD, SHBG, AR, STAR), and other clinically relevant mechanisms such as obesity, lipid metabolism (PPARG, VDR, FTO), and follicular development (ACE).

Indexed as

candidate geneshyperandrogenismovarian dysfunctionpolycystic ovary syndromepolymorphisms

Identifiers

PMID42042922
PMCPMC13118455

What Socratic holds

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Registered trials

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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.