International Journal of Cardiovascular Sciences. 15/maio/2025;38:e20240144.

Exploring the Link Between ITGB3 Gene Polymorphism and Diastolic Dysfunction in Arterial Hypertension Patients

Vafa Nazirova , Zumrud Ismibayli , Ismail Gafarov , Faig Guliyev, Konstantinos Kyriazis

DOI: 10.36660/ijcs.20240144

Abstract

Background:

Arterial hypertension (AH) is a significant risk factor for cardiovascular diseases (CVDs), including myocardial infarction and stroke. The ITGB3 gene polymorphism, particularly T1565C (rs5918), has been implicated in various cardiovascular conditions, suggesting a potential role in diastolic dysfunction (DD) among AH patients.

Objectives:

The clinical-genetic relationship was studied between ITGB3 gene polymorphisms and DD in Azerbaijani patients with AH, with or without ischemic heart disease (IHD) and type 2 diabetes (T2D) mellitus.

Methods:

The study included 100 Azerbaijani patients, divided into case (n = 76) and control (n = 24) groups. Echocardiography was used to assess left ventricular diastolic function. ITGB3 gene was identified using the MassArray system. Statistical analysis involved both parametric and non-parametric tests using the IBM SPSS Statistics 26.

Results:

The study reported a significant association between ITGB3 gene polymorphisms and DD in AH patients. The T/C, C/C genotypes were particularly correlated with DD. The C/C variant, while more frequent in the AH group, did not reach statistical significance. A direct correlation was observed between DD and the C allele of the ITGB3 gene, with a higher E/e’ ratio and lower e’ velocity among carriers.

Conclusion:

This study highlights a significant association between ITGB3 gene polymorphisms and DD in Azerbaijani patients with AH. These findings suggest the potential for genetic screening to identify individuals at higher risk of DD among hypertensive patients, underscoring the importance of personalized approaches in managing hypertension and its complications. Further research with larger and more diverse cohorts is needed to validate these results and explore the underlying mechanisms.