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Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis

PURPOSE: Ferroptosis plays a crucial role in the development and progression of abdominal aortic aneurysm (AAA). The aim of this study was to identify differentially expressed genes associated with ferroptosis in AAA through bioinformatics analysis combined with experimental validation. MATERIALS AN...

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Autores principales: Wang, Kun, Song, Yancheng, Li, Hong, Song, Jianshu, Wang, Shizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558826/
https://www.ncbi.nlm.nih.gov/pubmed/36247434
http://dx.doi.org/10.3389/fcvm.2022.991613
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author Wang, Kun
Song, Yancheng
Li, Hong
Song, Jianshu
Wang, Shizhong
author_facet Wang, Kun
Song, Yancheng
Li, Hong
Song, Jianshu
Wang, Shizhong
author_sort Wang, Kun
collection PubMed
description PURPOSE: Ferroptosis plays a crucial role in the development and progression of abdominal aortic aneurysm (AAA). The aim of this study was to identify differentially expressed genes associated with ferroptosis in AAA through bioinformatics analysis combined with experimental validation. MATERIALS AND METHODS: Firstly, the mRNA expression profile datasets GSE57691 and GSE47472 from Gene Expression Omnibus database were screened, and principal component analysis was carried out. Next, the R software (version 4.0.0) was used to analyze potentially differentially expressed genes associated with AAA and ferroptosis. Subsequently, protein–protein interaction analysis, gene ontology enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed on the selected candidate genes. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression levels of the first five selected abnormal ferroptosis-related genes in clinical samples obtained from patients with AAA and healthy controls. RESULTS: Based on the information contained in the two datasets, a total of 20 differentially expressed ferroptosis-related genes (three upregulated genes and 17 downregulated genes) were selected. Protein–protein interaction analysis demonstrated interaction between these genes, while gene ontology enrichment analysis of ferroptosis genes with differential expression indicated that some enrichment items were associated with oxidative stress. The qRT-PCR results showed that the expression levels of interleukin-6 (IL-6), peroxiredoxin 1 (PRDX1), and stearoyl-CoA desaturase (SCD) were consistent with the bioinformatics prediction results obtained from the mRNA chip. CONCLUSION: Bioinformatics analysis identified 20 potential ferroptosis-related differentially expressed genes in AAA. Further verification by qRT-PCR showed that IL-6, PRXD1, and SCD might affect the process of AAA by regulating ferroptosis. Our results might assist in further understanding the pathogenesis of AAA and guiding treatment.
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spelling pubmed-95588262022-10-14 Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis Wang, Kun Song, Yancheng Li, Hong Song, Jianshu Wang, Shizhong Front Cardiovasc Med Cardiovascular Medicine PURPOSE: Ferroptosis plays a crucial role in the development and progression of abdominal aortic aneurysm (AAA). The aim of this study was to identify differentially expressed genes associated with ferroptosis in AAA through bioinformatics analysis combined with experimental validation. MATERIALS AND METHODS: Firstly, the mRNA expression profile datasets GSE57691 and GSE47472 from Gene Expression Omnibus database were screened, and principal component analysis was carried out. Next, the R software (version 4.0.0) was used to analyze potentially differentially expressed genes associated with AAA and ferroptosis. Subsequently, protein–protein interaction analysis, gene ontology enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed on the selected candidate genes. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression levels of the first five selected abnormal ferroptosis-related genes in clinical samples obtained from patients with AAA and healthy controls. RESULTS: Based on the information contained in the two datasets, a total of 20 differentially expressed ferroptosis-related genes (three upregulated genes and 17 downregulated genes) were selected. Protein–protein interaction analysis demonstrated interaction between these genes, while gene ontology enrichment analysis of ferroptosis genes with differential expression indicated that some enrichment items were associated with oxidative stress. The qRT-PCR results showed that the expression levels of interleukin-6 (IL-6), peroxiredoxin 1 (PRDX1), and stearoyl-CoA desaturase (SCD) were consistent with the bioinformatics prediction results obtained from the mRNA chip. CONCLUSION: Bioinformatics analysis identified 20 potential ferroptosis-related differentially expressed genes in AAA. Further verification by qRT-PCR showed that IL-6, PRXD1, and SCD might affect the process of AAA by regulating ferroptosis. Our results might assist in further understanding the pathogenesis of AAA and guiding treatment. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9558826/ /pubmed/36247434 http://dx.doi.org/10.3389/fcvm.2022.991613 Text en Copyright © 2022 Wang, Song, Li, Song and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Wang, Kun
Song, Yancheng
Li, Hong
Song, Jianshu
Wang, Shizhong
Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis
title Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis
title_full Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis
title_fullStr Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis
title_full_unstemmed Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis
title_short Identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: Bioinformatics analysis
title_sort identification of differentially expressed ferroptosis-related genes in abdominal aortic aneurysm: bioinformatics analysis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558826/
https://www.ncbi.nlm.nih.gov/pubmed/36247434
http://dx.doi.org/10.3389/fcvm.2022.991613
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