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Association between NOD2/CARD15 polymorphisms and coronary artery disease: a case-control study
Sara Galluzzo1, Giuseppe Patti, Giordano Dicuonzo
1Department of Medical Oncology, Campus Bio-Medico University of Rome, Rome, Italy. s.galluzzo@unicampus.it
Genetic variations in the NOD2/CARD15 gene influence coronary artery disease (CAD) risk. The Leu1007fsinsC polymorphism increases CAD risk, while GLY908ARG shows a protective effect, independent of traditional risk factors.
Area of Science:
- Genetics and Molecular Biology
- Cardiovascular Medicine
- Immunology
Background:
- Inflammation and immune responses are key in atherosclerosis pathogenesis.
- The role of specific gene polymorphisms in coronary artery disease (CAD) risk requires further investigation.
Purpose of the Study:
- To investigate the association between NOD2/CARD15 gene polymorphisms and the risk of developing clinically evident coronary artery disease (CAD).
- To determine if specific NOD2/CARD15 variants influence CAD risk and clinical presentation.
Main Methods:
- Prospective study analyzing NOD2/CARD15 polymorphisms (ARG702TRP, GLY908ARG, Leu1007fsinsC) in 109 CAD patients and 109 controls.
- Genotyping performed using polymerase chain reaction and restriction digestion.
- Statistical analysis included odds ratios, confidence intervals, and multivariable analysis.
Main Results:
- The Leu1007fsinsC polymorphism was significantly more prevalent in CAD patients (11.9% vs 1.8%), particularly in acute coronary syndrome cases.
- The GLY908ARG polymorphism was less frequent in CAD patients (1.8% vs 6.4%), suggesting a protective effect.
- The ARG702TRP polymorphism showed a higher prevalence in CAD patients (10.1% vs 3.7%).
Conclusions:
- NOD2/CARD15 gene polymorphisms are associated with clinically evident coronary artery disease in a Caucasian population.
- The Leu1007fsinsC variant increases CAD risk and plaque instability, while GLY908ARG offers protection against atherogenesis.
- These genetic associations are independent of cardiovascular risk factors, suggesting potential for novel cardiovascular risk stratification.
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