Src homology 2-B adapter protein 3 C784 T and Methylenetetrahydrofolate reductase C677 T Polymorphisms and Inflammation Markers in ST-segment Elevation Myocardial Infarction Patients.
Amin GolestaniAtefeh RahimiSeyed Ali Moezi BadyNahid AzdakiSeyed Mehdi SajjadiPublished in: Angiology (2023)
Neutrophil-lymphocyte (NLR), platelet-lymphocyte (PLR), eosinophil-lymphocyte (ELR), and monocyte-lymphocyte (MLR) ratios are systemic inflammatory markers related to myocardial infarction. The aim of this study is to investigate the association of Src homology 2-B adapter protein 3 (SH2B3) C784 T and methylenetetrahydrofolate reductase (MTHFR) C677 T polymorphisms (SNP) with systemic inflammatory markers and the severity of coronary artery disease (CAD) in 150 ST-elevation myocardial infarction (STEMI) patients. Single nucleotide polymorphisms were genotyped using the tetra-primer amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR) method. The inflammatory markers were calculated. An interventional cardiologist blinded to other data assessed the SYNTAX (SX) Score. Eosinophil and platelet counts were significantly higher in SH2B3 variants than in the wild type. Additionally, SH2B3 variants had significantly higher ELR than the wild type (.12 ± .19 vs .25 ± .34, p = .018). NLR, PLR, ELR, and MLR were considerably higher in MTHFR variants than in the wild type ( p < .05). The SX score was significantly higher in both SH2B3 C784 T (21.24 ± 8.90 vs 15.29 ± 9.40, p = .00) and MTHFR C677 T (20.34 ± 10.21 vs 16.08 ± 8.39, p = .00) variants when compared with wild type. In conclusion, these polymorphisms are associated with several markers of systemic inflammation as well as the severity of CAD.
Keyphrases
- wild type
- percutaneous coronary intervention
- coronary artery disease
- st segment elevation myocardial infarction
- st elevation myocardial infarction
- end stage renal disease
- peripheral blood
- ejection fraction
- copy number
- newly diagnosed
- chronic kidney disease
- prognostic factors
- acute coronary syndrome
- gene expression
- tyrosine kinase
- left ventricular
- dna methylation
- cardiovascular events
- endothelial cells
- atrial fibrillation
- clinical trial
- dendritic cells
- deep learning
- machine learning
- aortic valve
- artificial intelligence
- high density