Non-Invasive Stemi-Related Biomarkers Based on Meta-Analysis and Gene Prioritization Publisher Pubmed



Sheikh Beig Goharrizi MA¹ ; Ghodsi S² ; Mokhtari M^{3, 4} ; Moravveji SS³ Show Affiliations
Source: Computers in Biology and Medicine Published:2023

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. © 2023 Elsevier Ltd