Amalgamation of Circadian Clock Gene with Incidence of Myocardial Infarction

Objectives: The present study included 40 participants to investigate the association of circadian locomotor output cycles kaput (CLOCK) rs4580704 polymorphism with myocardial infarction (MI) cases. Materials and Methods: In this study, we enrolled 20 male and 20 female cases with MI. Genomic DNA extraction was done from lymphocytes using conventional techniques, employing the QIAamp DNA Blood Mini Kit (Qiagen, Hilden, Germany) from lymphocytes. Genotyping was conducted through TaqMan single-nucleotide polymorphism genotyping assays, employing real-time polymerase chain reaction (PCR) on a 7500 Real-Time PCR System (Applied Biosystems, Foster City, CA, USA). This streamlined approach ensures accurate and efficient analysis of genetic markers associated with MI across gender groups. Results: The study revealed significant associations between body mass index (BMI), hypertension, obesity, current smoking, and type 2 diabetes among both male and female MI patients. However, age, systolic blood pressure (SBP), and diastolic blood pressure (DBP) did not exhibit significant differences between genders. Analysis of CLOCK rs4580704 polymorphism indicated no variance in genotype and allele frequencies between male and female MI patients. When considering both genders, CLOCK rs4580704 polymorphism was significantly associated with BMI, hypertension, obesity, current smoking, and type 2 diabetes ( P = 0.02, P = 0.02, P = 0.04, and P = 0.02, respectively). Nevertheless, logistic regression analysis showed no significant differences among MI cases across the various models of CLOCK rs4580704 polymorphism. Conclusion: No significant association was found between CLOCK rs4580704 polymorphism and MI in both genders. However, significant links were identified between this polymorphism and various cardiovascular risk factors including BMI, SBP, DBP, hypertension, obesity, current smoking, and type 2 diabetes in MI cases. These findings underscore the potential influence of CLOCK rs4580704 polymorphism on cardiovascular risk profiles among individuals with MI.