Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study
BackgroundPatients with unstable angina (UA) are prone to myocardial infarction (MI) after an attack, yet the altered molecular expression profile therein remains unclear. The current work aims to identify the characteristic hypoxia-related genes associated with UA/MI and to develop a predictive mod...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Cardiovascular Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1068782/full |
| _version_ | 1827888376464801792 |
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| author | Shaohua Li Junwen Zhang Jingwei Ni Jiumei Cao |
| author_facet | Shaohua Li Junwen Zhang Jingwei Ni Jiumei Cao |
| author_sort | Shaohua Li |
| collection | DOAJ |
| description | BackgroundPatients with unstable angina (UA) are prone to myocardial infarction (MI) after an attack, yet the altered molecular expression profile therein remains unclear. The current work aims to identify the characteristic hypoxia-related genes associated with UA/MI and to develop a predictive model of hypoxia-related genes for the progression of UA to MI.Methods and resultsGene expression profiles were obtained from the GEO database. Then, differential expression analysis and the WGCNA method were performed to select characteristic genes related to hypoxia. Subsequently, all 10 hypoxia-related genes were screened using the Lasso regression model and a classification model was established. The area under the ROC curve of 1 shows its excellent classification performance and is confirmed on the validation set. In parallel, we construct a nomogram based on these genes, showing the risk of MI in patients with UA. Patients with UA and MI had their immunological status determined using CIBERSORT. These 10 genes were primarily linked to B cells and some inflammatory cells, according to correlation analysis.ConclusionOverall, GWAS identified that the CSTF2F UA/MI risk gene promotes atherosclerosis, which provides the basis for the design of innovative cardiovascular drugs by targeting CSTF2F. |
| first_indexed | 2024-03-12T20:32:49Z |
| format | Article |
| id | doaj.art-fab3df9e15a04cce93611aea222a3b9f |
| institution | Directory Open Access Journal |
| issn | 2297-055X |
| language | English |
| last_indexed | 2024-03-12T20:32:49Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cardiovascular Medicine |
| spelling | doaj.art-fab3df9e15a04cce93611aea222a3b9f2023-08-01T18:57:18ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2023-07-011010.3389/fcvm.2023.10687821068782Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based studyShaohua Li0Junwen Zhang1Jingwei Ni2Jiumei Cao3Department of Cardiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, ChinaDepartment of Cardiothoracic Surgery, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, ChinaDepartment of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Geriatrics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, ChinaBackgroundPatients with unstable angina (UA) are prone to myocardial infarction (MI) after an attack, yet the altered molecular expression profile therein remains unclear. The current work aims to identify the characteristic hypoxia-related genes associated with UA/MI and to develop a predictive model of hypoxia-related genes for the progression of UA to MI.Methods and resultsGene expression profiles were obtained from the GEO database. Then, differential expression analysis and the WGCNA method were performed to select characteristic genes related to hypoxia. Subsequently, all 10 hypoxia-related genes were screened using the Lasso regression model and a classification model was established. The area under the ROC curve of 1 shows its excellent classification performance and is confirmed on the validation set. In parallel, we construct a nomogram based on these genes, showing the risk of MI in patients with UA. Patients with UA and MI had their immunological status determined using CIBERSORT. These 10 genes were primarily linked to B cells and some inflammatory cells, according to correlation analysis.ConclusionOverall, GWAS identified that the CSTF2F UA/MI risk gene promotes atherosclerosis, which provides the basis for the design of innovative cardiovascular drugs by targeting CSTF2F.https://www.frontiersin.org/articles/10.3389/fcvm.2023.1068782/fullcoronary artery diseasemyocardial infarctionGEOWGCNAGWASCSTF2F |
| spellingShingle | Shaohua Li Junwen Zhang Jingwei Ni Jiumei Cao Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study Frontiers in Cardiovascular Medicine coronary artery disease myocardial infarction GEO WGCNA GWAS CSTF2F |
| title | Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study |
| title_full | Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study |
| title_fullStr | Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study |
| title_full_unstemmed | Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study |
| title_short | Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study |
| title_sort | hypoxia associated genes predicting future risk of myocardial infarction a geo database based study |
| topic | coronary artery disease myocardial infarction GEO WGCNA GWAS CSTF2F |
| url | https://www.frontiersin.org/articles/10.3389/fcvm.2023.1068782/full |
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