Screening of key biomarkers and immune infiltration in Pulmonary Arterial Hypertension via integrated bioinformatics analysis
| Autor: | Jinru Zhu, Wang Liu, Cheng Hong, Min Peng, Zhenzhen Zheng, Yu Zeng, Junfen Cheng, Nanhong Li, Riken Chen, Mingqing Zeng |
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| Rok vydání: | 2021 |
| Předmět: |
bioinformatics analysis
Cell Bioengineering Biology Myeloid leukocyte migration Models Biological Applied Microbiology and Biotechnology Pathogenesis Immune system Databases Genetic Gene expression medicine Humans Gene Regulatory Networks Protein Interaction Maps KEGG pulmonary arterial hypertension (pah) Pulmonary Arterial Hypertension Cell chemotaxis immune infiltration Gene Expression Profiling Computational Biology General Medicine medicine.disease Molecular biology Gene Ontology medicine.anatomical_structure ROC Curve differentially expressed genes (degs) Case-Control Studies immune system function Regression Analysis Infiltration (medical) Biomarkers TP248.13-248.65 Research Article Research Paper Biotechnology |
| Zdroj: | Bioengineered, Vol 12, Iss 1, Pp 2576-2591 (2021) Bioengineered article-version (VoR) Version of Record |
| ISSN: | 2165-5987 2165-5979 |
| DOI: | 10.1080/21655979.2021.1936816 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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