ArticleExperimental biology and medicine (Maywood, N.J.)2023
Weighted gene co-expression network analysis reveals the hub genes associated with pulmonary hypertension.
Article in Experimental biology and medicine (Maywood, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
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- mTOR in the Development of Hypoxic Pulmonary Hypertension Associated with Cardiometabolic Risk Factors.International journal of molecular sciences · 2024Review
- Network pharmacology and molecular docking: combined computational approaches to explore the antihypertensive potential of Fabaceae species.Bioresources and bioprocessing · 2024Article
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7 authors at 2 institutions in 1 country.
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Abstract
Pulmonary hypertension (PH) is a cardiopulmonary vascular disease that acutely endangers human health and can be fatal. It progresses rapidly and has a high mortality rate. Its pathophysiology is complicated and still not completely elucidated; therefore, achieving treatment breakthroughs are difficult. In this study, data from 58 normal controls and 135 patients with PH were extracted from the GSE24988, GSE113439, and GSE117261 datasets in the Gene Expression Omnibus (GEO) database and screened for differentially expressed genes (DEGs). In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Weighted gene co-expression network analysis (WGCNA) was used to identify the key modules and hub genes associated with PH. Eight PH-associated hub genes were identified. Furthermore, correlation analysis between immune cell infiltration and hub genes was performed, and the receiver operating characteristic (ROC) curves showed that
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