Evidence map›Paper›PMID 39848950›Full record

ArticleScientific reports2025

Identification of molecular characteristics in polycystic ovary syndrome using single-cell and transcriptome analysis.

Xiaolin Zhu, Yanhua Han, Yuenan Feng, Yuanli Shan, Chang Liu, Kexin Wang, Xiaoke Li, Shidi Zhang, Yaguang Han

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

9 authors.

Xiaolin ZhuThe Second Affiliated Hospital of Heilongjiang, University of Traditional Chinese Medicine, 411 Guogoli Street, Harbin, Heilongjiang, 150001, China.
Yanhua HanThe First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, No. 26 Heping Road, Harbin, 150040, Heilongjiang, China.
Yuenan FengHeilongjiang University of Traditional Chinese Medicine, No. 26 Heping Road, Harbin, Heilongjiang, 150040, China.
Yuanli ShanThe Second Affiliated Hospital of Heilongjiang, University of Traditional Chinese Medicine, 411 Guogoli Street, Harbin, Heilongjiang, 150001, China.
Chang LiuDepartment of Traditional Chinese Medicine, Beijing University Third Hospital, Haidian District, Beijing, 100089, China.
Kexin WangHeilongjiang University of Traditional Chinese Medicine, No. 26 Heping Road, Harbin, Heilongjiang, 150040, China.
Xiaoke LiHeilongjiang University of Traditional Chinese Medicine, No. 26 Heping Road, Harbin, Heilongjiang, 150040, China.
Shidi ZhangHeilongjiang University of Traditional Chinese Medicine, No. 26 Heping Road, Harbin, Heilongjiang, 150040, China.
Yaguang HanThe First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, No. 26 Heping Road, Harbin, 150040, Heilongjiang, China. 13945053676@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting women of childbearing age, and we aimed to reveal its underlying molecular mechanisms. Gene expression profiles from GSE138518 and GSE155489, and single-cell RNA sequencing (scRNA-seq) data from PRJNA600740 were collected and subjected to bioinformatics analysis to identify the complex molecular mechanisms of PCOS. The expression of genes was detected by RT-qPCR. Through differential analysis, we identified 230 common differentially expressed genes (DEGs) in GSE138518 and GSE155489. GSEA results showed significant enrichment of purine metabolism and oocyte meiosis in the control group, while GSVA results indicated significant activation of ECM receptor interaction, and antigen processing and presentation in PCOS. Weighted gene co-expression network analysis revealed 7 co-expression modules, with the bisque4 module showing the highest positive correlation with PCOS. Enrichment analysis revealed that genes in the bisque4 module were mainly involved in the PI3K-Akt signaling pathway, calcium signaling pathway, and Ras signaling pathway. Pseudotime trajectory analysis of cell subpopulations revealed the potential developmental trajectory of PCOS. The gene expression consistent with the potential developmental trajectory was validated by RT-qPCR. Our study, by analyzing multiple datasets, has revealed the complex molecular network of PCOS, offering new insights into understanding its pathophysiological basis.

Indexed as

Gene Expression ProfilingPolycystic Ovary SyndromeSingle-Cell AnalysisTranscriptomeComputational BiologyFemaleGene Expression RegulationGene Regulatory NetworksHumansSignal TransductionBioinformaticsPolycystic ovary syndromePseudotime trajectoryWGCNA

Identifiers

PMID39848950
PMCPMC11757995

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.