The Relationship between Angiotensin-II Type 1 Receptor Gene Polymorphism and Repolarization Parameters after a First Anterior Acute Myocardial Infarction

From multi-omics approaches to personalized medicine in myocardial infarction

Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.

Assessment of Myocardial Function by Speckle Tracking Echocardiography in Patients with Acute Ischemic Stroke

Background

Acute stroke is an important cause of morbidity and mortality. Myocardial injury is an important complication of acute cerebrovascular events. Neurogenic stress cardiomyopathy (NSC) is a condition of acute myocardial systolic dysfunction that can be observed after acute cerebrovascular events.

Objective

In this study, we aimed to investigate the relationship between myocardial function assessed by two-dimensional speckle-tracking echocardiography and National Institutes of Health Stroke Scale (NIHSS) score in patients with acute ischemic stroke.

Materials and Methods

This cross-sectional study screened 97 patients (males, 42; females, 55; 65 ± 16 years) with acute ischemic stroke. Around 17 patients were excluded and 80 patients were studied. Patients were divided into two groups based on the calculated NIHSS score (Group 1, NIHSS score <16; Group 2, NIHSS score ≥16). Demographic, clinical, and laboratory data for all patients were collected. Cardiac function was evaluated by two-dimensional speckle tracking echocardiography within 48 h of admission to the neurology care unit.

Results

There were no significant differences in the demographic parameters of patients. The absolute value of global longitudinal systolic strain (GLS) was significantly higher in Group 1 patients than in Group 2 patients (21.4 ± 2.2 vs 15.9 ± 2.7, P = 0.0281). We found that thirteen patients (22%) had normal LVEF and abnormal LV GLS in Group 1 (P = 0.036). Eight patients (36%) had normal LVEF and abnormal LV GLS in Group 2 (P = 0.042). E/e', QT on ECG, and serum troponin levels were significantly higher in Group 2 patients than in Group 1 patients (P < 0.05).

Conclusions

Our results suggest that GLS is associated with stroke severity on admission in patients with acute ischemic stroke. GLS is an indicator of myocardial deformation with a different from LVEF. GLS can detect early myocardial dysfunction despite preserved LVEF.

Association amongst human A1166C polymorphism of the angiotensin II type 1 receptor gene with coronary artery disease in the Iraqi population

Purpose

Coronary artery disease (CAD) is a major cause of death worldwide. There is relatively little data available on the genetic susceptibility to CAD in the Iraqi population. We have therefore investigated the association between angiotensin II type 1 receptor gene polymorphism A1166C and the presence of CAD in a sample of the Iraqi population.

Methods

This case-control study enrolled 150 CAD patients, with CAD confirmed by coronary angiography, and 200 controls. The AT1R polymorphism A1166C was analyzed by the allele-specific polymerase chain reaction (AS-PCR) technique. Serum analyses, such as lipid concentrations, were measured and analyzed.

Results

The C allele and CC genotype frequencies were significantly higher in patients with CAD compared to the controls. Logistic regression analysis showed that the codominant, dominant, and recessive models were associated with risk of CAD of (OR = 1.32, 95% CI: 1.2-1.4, P = 0.000; OR = 1.25, 95% CI: 1.1-1.3, P = 0.000, OR = 1.27, 95% CI: 1.1-1.3, P = 0.000, OR = 1.18, 95% CI: 1.0-1.4), respectively. In the patient group, the presence of the mutant C allele was significantly associated with higher levels of CAD risk factors such as total cholesterol (TC) and low-density lipoprotein (LDL).

Conclusion

The study indicated that the A1166C polymorphism may be associated with the presence of CAD in the Iraqi population. The AT1R polymorphism may therefore be a useful marker of susceptibility to CAD.

Genetic Polymorphism of Angiotensin II Type 1 Receptors and Their Effect on the Clinical Outcome of Captopril Treatment in Arab Iraqi Patients with Acute Coronary Syndrome (Mid Euphrates)

Genetic variation in the angiotensin II type 1 receptor (AT1R) has an important effect on the outcome of acute coronary syndrome (ACS) initiated treatment with captopril. This study aims to investigate the impact of genetic polymorphism of AT1R (rs5186 and rs275651) on the ACS outcome in Iraqi patients treated with captopril. A total of 250 Iraqi individuals with ACS were included in this case-control study and they were divided into two study groups; Study group 1 included 125 participants who were prescribed captopril, 25 mg twice daily and study group 2 included 125 participants who received no captopril as part of their ACS treatment (control study). The AT1R gene (rs5186) CC genotype was found to be associated with ST-elevation myocardial infarction (STEMI) (Odd's ratio (O.R) = 1.2, P = 0.7), while AC was associated with Non-ST-elevation myocardial infarction (NSTEMI) and unstable angina (UA) (O.R = 1.2, P = 0.8). AC genotype is more prone to have Percutaneous coronary intervention (PCI) after ACS attack (O.R = 1.2, P = 0.6). CC genotype had a risk to get less improvement (O.R = 1.6, P = 0.5), so might require higher doses of captopril during acute coronary insult. The AT1R gene (rs275651) AA genotype was associated with UA (O.R = 1.3, P = 0.9). AA and AT genotypes were more prone to have PCI after ACS attack (O.R = 3.9 P = 0.2, O.R = 3.5, P = 0.3 respectively) and thus requiring higher doses of captopril. We conclude that the AT1R rs5186, rs275651 genetic polymorphisms might partially affect the clinical outcome of ACS patients treated with captopril and might have captopril resistance which requires higher doses.