ArticleBioengineered2021
Screening of key biomarkers and immune infiltration in Pulmonary Arterial Hypertension via integrated bioinformatics analysis.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Mechanistic studies of molecular networks associated with pulmonary hypertension explored by combined transcriptome analysis of Project-methylation.Clinical epigenetics · 2026Article
- Identification of Key Genes and Pathways Associated With Gender Differences in Pulmonary Arterial Hypertension Based on Bioinformatic Approaches.BioMed research international · 2026Article
- Integrated bioinformatics identifies ferroptosis biomarkers and therapeutic targets in idiopathic pulmonary arterial hypertension.Scientific reports · 2025Article
- Exploring the Anti-PANoptosis Mechanism of Dachaihu Decoction Against Sepsis-Induced Acute Lung Injury: Network Pharmacology, Bioinformatics, and Experimental Validation.Drug design, development and therapy · 2025Article
- Unveiling Immune-related feature genes for Alzheimer's disease based on machine learning.Frontiers in immunology · 2024Article
- Identification of monocyte-associated pathways participated in the pathogenesis of pulmonary arterial hypertension based on omics-data.Pulmonary circulation · 2023Article
- Single Nucleotide Polymorphism rs9277336 Controls the Nuclear Alpha Actinin 4-Human Leukocyte Antigen-DPA1 Axis and Pulmonary Endothelial Pathophenotypes in Pulmonary Arterial Hypertension.Journal of the American Heart Association · 2023Article
- Construction of a diagnostic signature and immune landscape of pulmonary arterial hypertension.Frontiers in cardiovascular medicine · 2022Article
- FAM171B as a Novel Biomarker Mediates Tissue Immune Microenvironment in Pulmonary Arterial Hypertension.Mediators of inflammation · 2022Article
- Identifying Potential Mitochondrial Proteome Signatures Associated with the Pathogenesis of Pulmonary Arterial Hypertension in the Rat Model.Oxidative medicine and cellular longevity · 2022Article
- Article
- Monocyte-related gene biomarkers for latent and active tuberculosis.Bioengineered · 2021Article
- Identification of a prognostic chemoresistance-related gene signature associated with immune microenvironment in breast cancer.Bioengineered · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to screen key biomarkers and investigate immune infiltration in pulmonary arterial hypertension (PAH) based on integrated bioinformatics analysis. The Gene Expression Omnibus (GEO) database was used to download three mRNA expression profiles comprising 91 PAH lung specimens and 49 normal lung specimens. Three mRNA expression datasets were combined, and differentially expressed genes (DEGs) were obtained. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses and the protein-protein interaction (PPI) network of DEGs were performed using the STRING and DAVID databases, respectively. The diagnostic value of hub gene expression in PAH was also analyzed. Finally, the infiltration of immune cells in PAH was analyzed using the CIBERSORT algorithm. Total 182 DEGs (117 upregulated and 65 downregulated) were identified, and 15 hub genes were screened. These 15 hub genes were significantly associated with immune system functions such as myeloid leukocyte migration, neutrophil migration, cell chemotaxis, Toll-like receptor signaling pathway, and NF-κB signaling pathway. A 7-gene-based model was constructed and had a better diagnostic value in identifying PAH tissues compared with normal controls. The immune infiltration profiles of the PAH and normal control samples were significantly different. High proportions of resting NK cells, activated mast cells, monocytes, and neutrophils were found in PAH samples, while high proportions of resting T cells CD4 memory and Macrophages M1 cell were found in normal control samples. Functional enrichment of DEGs and immune infiltration analysis between PAH and normal control samples might help to understand the pathogenesis of PAH.
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