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Pharmacological Reports 2015-Feb

Association of CYP2C8, CYP2C9 and CYP2J2 gene polymorphisms with myocardial infarction in South Indian population.

Straipsnius versti gali tik registruoti vartotojai
Prisijungti Registracija
Nuoroda įrašoma į mainų sritį
Annan Sudarsan Arun Kumar
Srinivasamurthy Suresh Kumar
Gurusamy Umamaheswaran
Ramasamy Kesavan
Jayaraman Balachandar
Chandrasekaran Adithan

Raktažodžiai

Santrauka

BACKGROUND

Cardiovascular diseases (CVDs) are the major cause of mortality and morbidity worldwide. Myocardial infarction (MI) is a complex multi-factorial, polygenic disorder arising from an interaction between genetic makeup of individuals and various environmental factors. CYP2C8, CYP2C9 and CYP2J2 gene involved in the metabolism of arachidonic acid, generates epoxyeicosatrienoic acids (EETs) that mediate dilation of coronary arteries improving post-ischemic cardiac contractile function, reduce vascular inflammation, and increase intravascular fibrinolysis. The study is aimed at analyzing the association of CYP2C8, CYP2C9 and CYP2J2 gene polymorphisms and MI risk in the South Indian population.

METHODS

This retrospective study consisted of 287 MI patients, 279 risk control patients and 321 healthy individuals. Blood samples were collected from all the subjects and DNA was isolated using standard phenol-chloroform method. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and real time-polymerase chain reaction (RT-PCR) methods were used for genotyping. To test the potential independent association between polymorphisms and the risk of MI, Multiple-logistic regression analysis was performed.

RESULTS

Our findings displayed a significant association between CYP2J2*7 (p=0.04; OR=2.0) polymorphism and MI while comparing cases with to risk controls. We did not observe any association of CYP2C8*2, CYP2C8*3, CYP2C9*2 and CYP2C9*3 with MI.

CONCLUSIONS

Our results suggest that individuals with any conventional risk factor for MI along with CYP2J2*7 variant allele may be predisposed to risk of MI in South Indian population.

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