Cargando…
Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation
BACKGROUND: Coronary atherosclerosis (CA) is the most common type of atherosclerosis. However, the inherent pathogenesis and mechanisms of CA are unclear, and the relationship with ferroptosis-related genes (FRGs) has not been reported. The purpose of this study was to use bioinformatics techniques...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338511/ https://www.ncbi.nlm.nih.gov/pubmed/35906548 http://dx.doi.org/10.1186/s12872-022-02747-x |
_version_ | 1784759984202973184 |
---|---|
author | Meng, Qingwen Xu, Yiqian ling, Xuebin Liu, Huajiang Ding, Shun Wu, Haolin Yan, Dongming Fang, Xingyue Li, Tianfa Liu, Qibing |
author_facet | Meng, Qingwen Xu, Yiqian ling, Xuebin Liu, Huajiang Ding, Shun Wu, Haolin Yan, Dongming Fang, Xingyue Li, Tianfa Liu, Qibing |
author_sort | Meng, Qingwen |
collection | PubMed |
description | BACKGROUND: Coronary atherosclerosis (CA) is the most common type of atherosclerosis. However, the inherent pathogenesis and mechanisms of CA are unclear, and the relationship with ferroptosis-related genes (FRGs) has not been reported. The purpose of this study was to use bioinformatics techniques to evaluate potential therapeutic targets for CA.Please provide the given name for author “Dingshun”.Please provide the given name for author “Dingshun”. METHODS: First, the GSE132651 dataset was acquired from the Gene Expression Omnibus database. Gene Ontology enrichment analysis, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and Protein–Protein interaction network were successively conducted. Next, overlapping genes between hub genes and CA genes were found. FRGs were found when comparing the CA group with the normal group. The correlation between overlapping genes and FRGs was further analyzed. At last, we performed Elisa to validate the expression of these genes in human blood specimens. Mice aortic tissues were used for western blot to detect the expression of proteins. RESULTS: Based on the GSE132651 dataset, 102 differentially expressed genes were identified. Five overlapping genes between hub genes and CA genes were found (CCNA2, RRM2, PBK, PCNA, CDK1). TFRC and GPX4 were found to be FRGs. TFRC was positively correlated with CCNA2, PBK, PCNA, CDK1, RRM2, with CDK1 being the strongest correlation. GPX4 was negatively correlated with these genes, among which CCNA2 was the strongest correlation. The ELISA results showed that CCNA2, CDK1, and TFRC expression were markedly increased in serum of the CA samples compared with controls, while GPX4 expression was markedly decreased in the CA samples. The western blot results show that GPX4 expression was lower in the model group, TFRC, CDK1, and CCNA2 protein expression were high in the model group. CONCLUSIONS: Ferroptosis-related genes GPX4 and TFRC were closely correlated with the identified overlapping genes CCNA2 and CDK1, which may serve as targeted therapies for the treatment of CA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02747-x. |
format | Online Article Text |
id | pubmed-9338511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93385112022-07-31 Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation Meng, Qingwen Xu, Yiqian ling, Xuebin Liu, Huajiang Ding, Shun Wu, Haolin Yan, Dongming Fang, Xingyue Li, Tianfa Liu, Qibing BMC Cardiovasc Disord Research BACKGROUND: Coronary atherosclerosis (CA) is the most common type of atherosclerosis. However, the inherent pathogenesis and mechanisms of CA are unclear, and the relationship with ferroptosis-related genes (FRGs) has not been reported. The purpose of this study was to use bioinformatics techniques to evaluate potential therapeutic targets for CA.Please provide the given name for author “Dingshun”.Please provide the given name for author “Dingshun”. METHODS: First, the GSE132651 dataset was acquired from the Gene Expression Omnibus database. Gene Ontology enrichment analysis, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and Protein–Protein interaction network were successively conducted. Next, overlapping genes between hub genes and CA genes were found. FRGs were found when comparing the CA group with the normal group. The correlation between overlapping genes and FRGs was further analyzed. At last, we performed Elisa to validate the expression of these genes in human blood specimens. Mice aortic tissues were used for western blot to detect the expression of proteins. RESULTS: Based on the GSE132651 dataset, 102 differentially expressed genes were identified. Five overlapping genes between hub genes and CA genes were found (CCNA2, RRM2, PBK, PCNA, CDK1). TFRC and GPX4 were found to be FRGs. TFRC was positively correlated with CCNA2, PBK, PCNA, CDK1, RRM2, with CDK1 being the strongest correlation. GPX4 was negatively correlated with these genes, among which CCNA2 was the strongest correlation. The ELISA results showed that CCNA2, CDK1, and TFRC expression were markedly increased in serum of the CA samples compared with controls, while GPX4 expression was markedly decreased in the CA samples. The western blot results show that GPX4 expression was lower in the model group, TFRC, CDK1, and CCNA2 protein expression were high in the model group. CONCLUSIONS: Ferroptosis-related genes GPX4 and TFRC were closely correlated with the identified overlapping genes CCNA2 and CDK1, which may serve as targeted therapies for the treatment of CA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02747-x. BioMed Central 2022-07-29 /pmc/articles/PMC9338511/ /pubmed/35906548 http://dx.doi.org/10.1186/s12872-022-02747-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Meng, Qingwen Xu, Yiqian ling, Xuebin Liu, Huajiang Ding, Shun Wu, Haolin Yan, Dongming Fang, Xingyue Li, Tianfa Liu, Qibing Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation |
title | Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation |
title_full | Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation |
title_fullStr | Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation |
title_full_unstemmed | Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation |
title_short | Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation |
title_sort | role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338511/ https://www.ncbi.nlm.nih.gov/pubmed/35906548 http://dx.doi.org/10.1186/s12872-022-02747-x |
work_keys_str_mv | AT mengqingwen roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT xuyiqian roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT lingxuebin roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT liuhuajiang roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT dingshun roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT wuhaolin roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT yandongming roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT fangxingyue roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT litianfa roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation AT liuqibing roleofferroptosisrelatedgenesincoronaryatherosclerosisandidentificationofkeygenesintegrationofbioinformaticsanalysisandexperimentalvalidation |