Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease

Atherosclerosis is an important medical and social problem, and the keys to solving this problem are still largely unknown. A common situation in real clinical practice is the comorbid course of atherosclerosis with chronic obstructive pulmonary disease (COPD). Diseases share some common risk factor...

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Main Author: Kotlyarov Stanislav
Format: Article
Language:English
Published: De Gruyter 2022-02-01
Series:Biomolecular Concepts
Subjects:
Online Access:https://doi.org/10.1515/bmc-2022-0001
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author Kotlyarov Stanislav
author_facet Kotlyarov Stanislav
author_sort Kotlyarov Stanislav
collection DOAJ
description Atherosclerosis is an important medical and social problem, and the keys to solving this problem are still largely unknown. A common situation in real clinical practice is the comorbid course of atherosclerosis with chronic obstructive pulmonary disease (COPD). Diseases share some common risk factors and may be closely linked pathogenetically. Methods: Bioinformatics analysis of datasets from Gene Expression Omnibus (GEO) was performed to examine the gene ontology (GO) of common differentially expressed genes (DEGs) in COPD and peripheral arterial atherosclerosis. DEGs were identified using the limma R package with the settings p < 0.05, corrected using the Benjamini & Hochberg algorithm and ǀlog 2FCǀ > 1.0. The GO, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and the protein–protein interaction (PPI) network analysis were performed with the detected DEGs. Results: The biological processes and signaling pathways involving common DEGs from airway epithelial datasets in COPD and tissue in peripheral atherosclerosis were identified. A total of 15 DEGs were identified, comprising 12 upregulated and 3 downregulated DEGs. The GO enrichment analysis demonstrated that the upregulated hub genes were mainly involved in the inflammatory response, reactive oxygen species metabolic process, cell adhesion, lipid metabolic process, regulation of angiogenesis, icosanoid biosynthetic process, and cellular response to a chemical stimulus. The KEGG pathway enrichment analysis demonstrated that the common pathways were Toll-like receptor signaling pathway, NF-kappa B signaling pathway, lipid and atherosclerosis, and cytokine–cytokine receptor interaction. Conclusions: Biological processes and signaling pathways associated with the immune response may link the development and progression of COPD and atherosclerosis.
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spelling doaj.art-7ec0275a382d434590171a2d84e1ba1c2022-12-22T03:50:41ZengDe GruyterBiomolecular Concepts1868-503X2022-02-01131345410.1515/bmc-2022-0001Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary diseaseKotlyarov Stanislav0Department of Nursing, Ryazan State Medical University, 390026, Ryazan, Russian FederationAtherosclerosis is an important medical and social problem, and the keys to solving this problem are still largely unknown. A common situation in real clinical practice is the comorbid course of atherosclerosis with chronic obstructive pulmonary disease (COPD). Diseases share some common risk factors and may be closely linked pathogenetically. Methods: Bioinformatics analysis of datasets from Gene Expression Omnibus (GEO) was performed to examine the gene ontology (GO) of common differentially expressed genes (DEGs) in COPD and peripheral arterial atherosclerosis. DEGs were identified using the limma R package with the settings p < 0.05, corrected using the Benjamini & Hochberg algorithm and ǀlog 2FCǀ > 1.0. The GO, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and the protein–protein interaction (PPI) network analysis were performed with the detected DEGs. Results: The biological processes and signaling pathways involving common DEGs from airway epithelial datasets in COPD and tissue in peripheral atherosclerosis were identified. A total of 15 DEGs were identified, comprising 12 upregulated and 3 downregulated DEGs. The GO enrichment analysis demonstrated that the upregulated hub genes were mainly involved in the inflammatory response, reactive oxygen species metabolic process, cell adhesion, lipid metabolic process, regulation of angiogenesis, icosanoid biosynthetic process, and cellular response to a chemical stimulus. The KEGG pathway enrichment analysis demonstrated that the common pathways were Toll-like receptor signaling pathway, NF-kappa B signaling pathway, lipid and atherosclerosis, and cytokine–cytokine receptor interaction. Conclusions: Biological processes and signaling pathways associated with the immune response may link the development and progression of COPD and atherosclerosis.https://doi.org/10.1515/bmc-2022-0001copdatherosclerosisbioinformatics analysisdifferentially expressed genesimmune responseinnate immune systemlipid metabolism
spellingShingle Kotlyarov Stanislav
Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease
Biomolecular Concepts
copd
atherosclerosis
bioinformatics analysis
differentially expressed genes
immune response
innate immune system
lipid metabolism
title Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease
title_full Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease
title_fullStr Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease
title_full_unstemmed Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease
title_short Analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease
title_sort analysis of differentially expressed genes and signaling pathways involved in atherosclerosis and chronic obstructive pulmonary disease
topic copd
atherosclerosis
bioinformatics analysis
differentially expressed genes
immune response
innate immune system
lipid metabolism
url https://doi.org/10.1515/bmc-2022-0001
work_keys_str_mv AT kotlyarovstanislav analysisofdifferentiallyexpressedgenesandsignalingpathwaysinvolvedinatherosclerosisandchronicobstructivepulmonarydisease