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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Arun Kumar, Annan Sudarsan Kumar, Srinivasamurthy Suresh Umamaheswaran, Gurusamy Kesavan, Ramasamy Balachandar, Jayaraman Adithan, Chandrasekaran |
| Spatial Coverage | India |
| Description | Author Affiliation: Arun Kumar AS ( Pharmacogenomics Laboratory, Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, India. Electronic address: arunsudarsun@gmail.com.); Kumar SS ( Pharmacogenomics Laboratory, Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, India.); Umamaheswaran G ( Pharmacogenomics Laboratory, Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, India.); Kesavan R ( Pharmacogenomics Laboratory, Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, India.); Balachandar J ( Department of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, India.); Adithan C ( Pharmacogenomics Laboratory, Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, India.) |
| Abstract | 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. CONCLUSION: 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. |
| File Format | HTM / HTML |
| ISSN | 17341140 |
| Issue Number | 1 |
| Volume Number | 67 |
| Journal | Pharmacological Reports |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2015-02-01 |
| Publisher Place | Poland |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Pharmacology Aryl Hydrocarbon Hydroxylases Genetics Cytochrome P-450 Cyp2c8 Cytochrome P-450 Cyp2c9 Cytochrome P-450 Enzyme System Myocardial Infarction Epidemiology Asian Continental Ancestry Group Dna Female Genotype Heterozygote Humans India Male Middle Aged Polymerase Chain Reaction Polymorphism, Genetic Retrospective Studies Risk Factors Journal Article Research Support, Non-u.s. Gov't |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Pharmacology |
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