Non-invasive STEMI-related biomarkers based on meta-analysis and gene prioritization

Mohammad Ali Sheikh Beig Goharrizi; Saeed Ghodsi; Majid Mokhtari; Sayyed Sajjad Moravveji

doi:10.1016/j.compbiomed.2023.106997

Non-invasive STEMI-related biomarkers based on meta-analysis and gene prioritization

Comput Biol Med. 2023 Jul:161:106997. doi: 10.1016/j.compbiomed.2023.106997. Epub 2023 May 5.

Authors

Mohammad Ali Sheikh Beig Goharrizi¹, Saeed Ghodsi², Majid Mokhtari³, Sayyed Sajjad Moravveji⁴

Affiliations

¹ University of Tehran, Tehran, Iran. Electronic address: Msheikhbeig@ut.ac.ir.
² Department of Cardiology, Sina Hospital, Tehran University of Medical Sciences Tehran, Iran.
³ Department of Bioinformatics, Kish International Campus, University of Tehran, Kish Island, Iran; Laboratory of Personalized Precision Medicine, Bioinformatics Research Institute, Tehran, Iran.
⁴ Department of Bioinformatics, Kish International Campus, University of Tehran, Kish Island, Iran.

PMID: 37216774
DOI: 10.1016/j.compbiomed.2023.106997

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.

Keywords: Meta-analysis; Myocardial infarction; NSTEMI; STEMI.

Publication types

Systematic Review
Meta-Analysis

MeSH terms

Biomarkers
Eukaryotic Initiation Factor-3
Heart Failure*
Humans
Iran
Myocardial Infarction* / diagnosis
Myocardial Infarction* / genetics
Risk Factors
ST Elevation Myocardial Infarction* / genetics

Substances

Biomarkers
EIF3D protein, human
Eukaryotic Initiation Factor-3