Non-invasive STEMI-related biomarkers based on meta-analysis and gene prioritization.
Comput Biol Med
; 161: 106997, 2023 07.
Article
em En
| MEDLINE
| ID: mdl-37216774
ABSTRACT
BACKGROUND AND AIMS:
Acute ST-Segment Myocardial infarction (STEMI) is a common cardiovascular issue with a considerable burden of the disease. The underlying genetic basis and non-invasive markers were not well-established.METHODS:
Here, we implemented a systematic literature review and meta-analyses integration methods on 217 STEMI patients and 72 normal individuals to prioritize and detect the STEMI-related non-invasive markers. Five high-scored genes were experimentally assessed on 10 STEMI patients and 9 healthy controls. Finally, the presence of co-expressed nodes of top-score genes was explored.RESULTS:
The differential expression of ARGL, CLEC4E, and EIF3D were significant for Iranian patients. The ROC curve for gene CLEC4E revealed an AUC (95% CI) of 0.786 (0.686-0.886) in the prediction of STEMI. The Cox-PH model was fitted to stratify high/low risk heart failure progression (CI-index = 0.83, Likelihood-Ratio-Test = 3e-10). The SI00AI2 was a common biomarker between STEMI and NSTEMI patients.CONCLUSIONS:
In conclusion, the high-scored genes and prognostic model could be applicable for Iranian patients.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Infarto do Miocárdio com Supradesnível do Segmento ST
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Insuficiência Cardíaca
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Infarto do Miocárdio
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article