Evidence map›Paper›PMID 39358491›Full record

ArticleScientific reports2024

Unraveling the pathogenic interplay between SARS-CoV-2 and polycystic ovary syndrome using bioinformatics and experimental validation.

Hai Bai, Shanshan Zhang, Jing Huang, Kangyang Diao, Cui Li, Mingming Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Hai Bai *Institute of Applied Biotechnology, College of Agronomy and Life Science, Shanxi Datong University, Datong, 037009, Shanxi, PR China.
Shanshan Zhang *School of Biological Science, Jining Medical University, Rizhao, 276826, Shandong, PR China.
Jing HuangDepartment of Medical Informatics Engineering, Xuzhou Medical University, Xuzhou, 221009, Jiangsu, PR China.
Kangyang DiaoSchool of Pharmacy, Xuzhou Medical University, Xuzhou, 221009, Jiangsu, PR China.
Cui LiDepartment of Physiology, School of Basic Medicine, Xuzhou Medical University, Xuzhou, 221009, Jiangsu, PR China. cui.li@xzhmu.edu.cn.
Mingming WangDepartment of Physiology, School of Basic Medicine, Xuzhou Medical University, Xuzhou, 221009, Jiangsu, PR China. wmm@xzhmu.edu.cn.

Funding

National Natural Science Foundation of China 82401923Natural Science Research of the Jiangsu Higher Education Institutions of China KY13022201Outstanding Talent Research Funding of Xuzhou Medical University RC20552029
6 · The paper itself

Abstract

The prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among polycystic ovary syndrome (PCOS) is significantly higher than in the general population. However, the mechanisms underlying this remain obscure. This study aimed to explore the mechanisms by identifying the genetic signature of SARS-CoV-2 infection in PCOS. In the present study, a total of 27 common differentially expressed genes (DEGs) were selected for subsequent analyses. Functional analyses showed that immunity and hormone-related pathways collectively participated in the development and progression of PCOS and SARS-CoV-2 infection. Under these, 7 significant hub genes were identified, including S100A9, MMP9, TLR2, THBD, ITGB2, ICAM1, and CD86 by using the algorithm in Cytoscape. Furthermore, hub gene expression was confirmed in the validation set, PCOS clinical samples, and mouse model. Immune microenvironment analysis with the CIBERSORTx database demonstrated that the hub genes were significantly correlated with T cells, dendritic cells, mast cells, B cells, NK cells, and eosinophils and positively correlated with immune scores. Among the hub genes, S100A9, MMP9, THBD, ITGB2, CD86, and ICAM1 demonstrated potential as possible diagnostic markers for COVID-19 and PCOS. In addition, we established the interaction networks of ovary-specific genes, transcription factors, miRNAs, drugs, and chemical compounds with hub genes with NetworkAnalyst. This work uncovered the common pathogenesis and genetic signature of PCOS and SARS-CoV-2 infection, which might provide a theoretical basis and innovative ideas for further mechanistic research and drug discovery of the comorbidity of the two diseases.

Indexed as

Computational BiologyCOVID-19Polycystic Ovary SyndromeSARS-CoV-2AnimalsDisease Models, AnimalFemaleGene Expression ProfilingGene Regulatory NetworksHumansMiceGenetic signatureImmune microenvironmentIntegrated bioinformaticsPolycystic ovary syndromeSARS-CoV-2

Identifiers

PMID39358491
PMCPMC11448505

What Socratic holds

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LicenceCC BY-NC-ND
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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.