» Articles » PMID: 34233597

Screening of Key Biomarkers and Immune Infiltration in Pulmonary Arterial Hypertension Via Integrated Bioinformatics Analysis

Overview
Journal Bioengineered
Date 2021 Jul 8
PMID 34233597
Citations 9
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Exploring the Anti-PANoptosis Mechanism of Dachaihu Decoction Against Sepsis-Induced Acute Lung Injury: Network Pharmacology, Bioinformatics, and Experimental Validation.

Yang Z, Kao X, Zhang L, Huang N, Chen J, He M Drug Des Devel Ther. 2025; 19():349-368.

PMID: 39839500 PMC: 11750123. DOI: 10.2147/DDDT.S495225.


Unveiling Immune-related feature genes for Alzheimer's disease based on machine learning.

Zhang G, Sun S, Wang Y, Zhao Y, Sun L Front Immunol. 2024; 15:1333666.

PMID: 38915415 PMC: 11194375. DOI: 10.3389/fimmu.2024.1333666.


Identification of monocyte-associated pathways participated in the pathogenesis of pulmonary arterial hypertension based on omics-data.

Zhong C, Si Y, Yang H, Zhou C, Chen Y, Wang C Pulm Circ. 2023; 13(4):e12319.

PMID: 38130888 PMC: 10733707. DOI: 10.1002/pul2.12319.


Single Nucleotide Polymorphism rs9277336 Controls the Nuclear Alpha Actinin 4-Human Leukocyte Antigen-DPA1 Axis and Pulmonary Endothelial Pathophenotypes in Pulmonary Arterial Hypertension.

Hafeez N, Kirillova A, Yue Y, Rao R, Kelly N, El Khoury W J Am Heart Assoc. 2023; 12(7):e027894.

PMID: 36974749 PMC: 10122886. DOI: 10.1161/JAHA.122.027894.


Construction of a diagnostic signature and immune landscape of pulmonary arterial hypertension.

Duo M, Liu Z, Zhang Y, Li P, Weng S, Xu H Front Cardiovasc Med. 2022; 9:940894.

PMID: 36531729 PMC: 9751874. DOI: 10.3389/fcvm.2022.940894.


References
1.
Meloche J, Courchesne A, Barrier M, Carter S, Bisserier M, Paulin R . Critical role for the advanced glycation end-products receptor in pulmonary arterial hypertension etiology. J Am Heart Assoc. 2013; 2(1):e005157. PMC: 3603259. DOI: 10.1161/JAHA.112.005157. View

2.
Shlyonsky V, Naeije R, Mies F . Possible role of lysophosphatidic acid in rat model of hypoxic pulmonary vascular remodeling. Pulm Circ. 2015; 4(3):471-81. PMC: 4278607. DOI: 10.1086/677362. View

3.
Cai W, Li H, Zhang Y, Han G . Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis. PeerJ. 2020; 8:e8390. PMC: 6970550. DOI: 10.7717/peerj.8390. View

4.
DAlonzo G, Barst R, Ayres S, Bergofsky E, Brundage B, Detre K . Survival in patients with primary pulmonary hypertension. Results from a national prospective registry. Ann Intern Med. 1991; 115(5):343-9. DOI: 10.7326/0003-4819-115-5-343. View

5.
Shannon P, Markiel A, Ozier O, Baliga N, Wang J, Ramage D . Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003; 13(11):2498-504. PMC: 403769. DOI: 10.1101/gr.1239303. View