Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis

Objective: Ferroptosis is of vital importance in the development of Rheumatoid arthritis (RA). The purpose of this project is to clarify the potential ferroptosis-related genes, pathways, and immune infiltration in RA by bioinformatics analysis. Methods: We acquired ferroptosis-related genes (FRGs)...

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Main Authors: Yihua Fan, Yuan Li, Xiaoyan Fu, Jing Peng, Yuchi Chen, Tao Chen, Di Zhang
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023083755
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author Yihua Fan
Yuan Li
Xiaoyan Fu
Jing Peng
Yuchi Chen
Tao Chen
Di Zhang
author_facet Yihua Fan
Yuan Li
Xiaoyan Fu
Jing Peng
Yuchi Chen
Tao Chen
Di Zhang
author_sort Yihua Fan
collection DOAJ
description Objective: Ferroptosis is of vital importance in the development of Rheumatoid arthritis (RA). The purpose of this project is to clarify the potential ferroptosis-related genes, pathways, and immune infiltration in RA by bioinformatics analysis. Methods: We acquired ferroptosis-related genes (FRGs) from Ferroptosis database (FerrDb). We obtained the Gene dataset of RA (GSE55235) from the Gene Expression Omnibus (GEO) Database, screened the differentially expressed genes (DEGs) in RA and control samples, and then took the intersection of it and FRGs. Aiming to construct the protein-protein interaction (PPI) networks of the FRGs-DEGs, STRING database and Cytoscape software 3.7.0 would be used. Furthermore, hub genes were identified by CytoNCA, a Cytoscape plug-in. The gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of FRGs-DEGs were performed. Results: We identified 34 FRGs-DEGs, including 7 upregulated and 27 downregulated genes by taking the intersection of the FRGs and DEGs. PPI analysis identified a total of 3 hub genes(VEGFA, PTGS2, and JUN). GO enrichment analyses and KEGG Pathway enrichment displayed that the FRGs-DEGs are involved in the response to oxidative stress and corticosteroid, heme binding, FoxO-signal pathway. Results of immune infiltration displayed that increased infiltration of T cells, while Macrophages M2 less may be related to the occurrence of RA. Conclusion: The hub genes involved in ferroptosis in RA may be VEGFA, PTGS2, and JUN, which are mainly involved in FoxO-signal pathway. T cell, Mac, and plasma cells may be involved in the regulation of RA-joints-synovial-inflammation.
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spelling doaj.art-89cfe82543c643fcae5882ed43cebda72023-12-02T07:01:21ZengElsevierHeliyon2405-84402023-11-01911e21167Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysisYihua Fan0Yuan Li1Xiaoyan Fu2Jing Peng3Yuchi Chen4Tao Chen5Di Zhang6Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, Sichuan Province, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, Sichuan Province, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, Sichuan Province, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, Sichuan Province, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, Sichuan Province, ChinaHospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, Sichuan Province, ChinaAffiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, Shandong Province, China; Corresponding authorNo. 42 West Cultural Road, Jinan City, Shandong Province, China.Objective: Ferroptosis is of vital importance in the development of Rheumatoid arthritis (RA). The purpose of this project is to clarify the potential ferroptosis-related genes, pathways, and immune infiltration in RA by bioinformatics analysis. Methods: We acquired ferroptosis-related genes (FRGs) from Ferroptosis database (FerrDb). We obtained the Gene dataset of RA (GSE55235) from the Gene Expression Omnibus (GEO) Database, screened the differentially expressed genes (DEGs) in RA and control samples, and then took the intersection of it and FRGs. Aiming to construct the protein-protein interaction (PPI) networks of the FRGs-DEGs, STRING database and Cytoscape software 3.7.0 would be used. Furthermore, hub genes were identified by CytoNCA, a Cytoscape plug-in. The gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of FRGs-DEGs were performed. Results: We identified 34 FRGs-DEGs, including 7 upregulated and 27 downregulated genes by taking the intersection of the FRGs and DEGs. PPI analysis identified a total of 3 hub genes(VEGFA, PTGS2, and JUN). GO enrichment analyses and KEGG Pathway enrichment displayed that the FRGs-DEGs are involved in the response to oxidative stress and corticosteroid, heme binding, FoxO-signal pathway. Results of immune infiltration displayed that increased infiltration of T cells, while Macrophages M2 less may be related to the occurrence of RA. Conclusion: The hub genes involved in ferroptosis in RA may be VEGFA, PTGS2, and JUN, which are mainly involved in FoxO-signal pathway. T cell, Mac, and plasma cells may be involved in the regulation of RA-joints-synovial-inflammation.http://www.sciencedirect.com/science/article/pii/S2405844023083755Rheumatoid arthritisFerroptosisImmune infiltrationBioinformatics analysisGene expression omnibus
spellingShingle Yihua Fan
Yuan Li
Xiaoyan Fu
Jing Peng
Yuchi Chen
Tao Chen
Di Zhang
Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis
Heliyon
Rheumatoid arthritis
Ferroptosis
Immune infiltration
Bioinformatics analysis
Gene expression omnibus
title Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis
title_full Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis
title_fullStr Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis
title_full_unstemmed Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis
title_short Identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis
title_sort identification of potential ferroptosis key genes and immune infiltration in rheumatoid arthritis by integrated bioinformatics analysis
topic Rheumatoid arthritis
Ferroptosis
Immune infiltration
Bioinformatics analysis
Gene expression omnibus
url http://www.sciencedirect.com/science/article/pii/S2405844023083755
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