Evidence map›Paper›PMID 41347064›Full record

ReviewFrontiers in genetics2025

Bioinformatics identification of key genes and therapeutic targets for exercise intervention in polycystic ovary syndrome.

Xiaodie Yang, Hong Yang, Dongyi Shen, Qiang Zhang, Chan Zhu

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 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

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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.

Xiaodie Yang *Department of Traditional Chinese Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Hong Yang *Department of Gynaecology, Shanghai municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Dongyi Shen *Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Qiang ZhangDepartment of Sports Medicine, Sichuan Orthopaedic Hospital, Chengdu, Sichuan, China.
Chan ZhuDepartment of Traditional Chinese Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: We aimed to explore the mechanisms and pathways of exercise-based interventions in the treatment of polycystic ovarian syndrome (PCOS). Methods: In this literature review, studies related to exercise therapy for PCOS that were published in the past 20 years were searched, potentially effective active ingredients were screened, and gene prediction of active ingredients and diseases was conducted using the compound and GeneCards databases, respectively, to identify potential targets of exercised-related bioactive molecules in PCOS. Finally, hub genes and signaling pathways were predicted using bioinformatic methods. Results: The review identified eight potential effective components were screened out, including irisin, 5α-reductase, kisspeptin, cocaine-and amphetamine-regulated transcript, nerve growth factor, nerve peptide Y, insulin-like growth factor-1, and interleukin-6. A total of 192 target genes for exercise-related components and PCOS were identified, including the hub genes Conclusion: The hub genes identified in this review indicate that exercise therapy in PCOS may affect the protease system, renin-angiotensin system, inflammatory signal transduction, neuroactive ligand-receptor interaction, and other pathways through the G protein-coupled receptor signaling pathway, neuropeptide signaling pathway, endocrine process, and other biological processes and regulate apoptosis, cell cycle, and intercellular communication.

Indexed as

bioinformaticsexercisemechanismpolycystic ovary syndrometarget

Identifiers

PMID41347064
PMCPMC12674599

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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.