Evidence map›Paper›PMID 41153026›Full record

ArticleJournal of cardiothoracic surgery2025

Integrated bioinformatics analysis identifies RPS27A and PPP2R1A as shared hub genes in heart failure and COVID-19.

Tong Lang, Xinyu Liu, Lingbing Meng

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tong Lang *Department of Respiratory and Critical Care Medicine, Weifang Second People's Hospital, 7 Yuanxiao St, Weifang, 261041, Shandong Province, China.
Xinyu Liu *Department of Endocrinology, Jinhua People's Hospital, 267 Danxi East Road, Jinhua City, 321000, Zhejiang Province, China.
Lingbing MengCardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, A 167 Beilishi Rd, Xicheng District, Beijing, 100037, China. 314597690@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF) and COVID-19 are distinct but serious conditions with overlapping features such as systemic inflammation and multiorgan involvement. Both may share underlying molecular mechanisms, but the common genetic contributors remain poorly understood. This study aimed to identify shared key genes involved in HF and COVID-19 using integrative bioinformatics analysis.

methodsTwo transcriptomic datasets GSE76701 (HF myocardial tissue) and GSE190496 (COVID-19 lung tissue)-were retrieved from the GEO database. Differentially expressed genes (DEGs) were identified using the limma package. Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were used to identify hub genes. Functional enrichment (GO, KEGG, GSEA), immune infiltration (CIBERSORT), disease association (CTD), and miRNA prediction (TargetScan) analyses were also performed.

resultsA total of 511 overlapping DEGs were identified. Enrichment analyses revealed involvement of pathways such as mTOR, insulin, and thyroid hormone signaling. WGCNA and PPI network analysis identified five core genes, including RPS27A and PPP2R1A, both of which were significantly upregulated in HF and COVID-19 samples. Immune infiltration analysis revealed increased macrophage fractions. miRNA predictions suggested PPP2R1A is potentially regulated by miR-497-5p, miR-15b-5p, and miR-15a-5p.

conclusionRPS27A and PPP2R1A may serve as common molecular regulators in HF and COVID-19. These findings offer potential cross-disease biomarkers and therapeutic targets for conditions driven by inflammation and immune dysregulation.

Indexed as

Computational BiologyCOVID-19Heart FailureProtein Phosphatase 2Gene Expression ProfilingGene Regulatory NetworksHumansProtein Interaction MapsSARS-CoV-2Protein Phosphatase 2BioinformaticsCOVID-19Heart failurePPP2R1APrognosisRPS27A

Identifiers

PMID41153026
PMCPMC12570859

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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.