M Zhang1, Y Peng, S Z Lyu. 1. Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Abstract
OBJECTIVE: To investigate the relationship between adiponectin gene polymorphisms and premature myocardial infarction (PMI). METHODS: A total of 306 PMI patients of Beijing Anzhen Hospital were identified from March 2013 to January 2015 using the case-control method, 412 patients with normal coronary angiography results served as the control group. 17 single nucleotide polymorphisms (SNPs) in adiponectin gene were selected and genotyped using mass spectrometry. The Chi-squared test was used to compare allele and genotype frequencies between PMI and control groups. The plasma adiponectin concentrations were measured using enzyme-linked immunoassay, and the relationship was analyzed between adiponectin level and SNPs. RESULTS: There was no significant difference in allele frequencies and in genotype frequencies between PMI patients and controls (P>0.05). Multivariate logistic regression models were used to estimate the correlation in additive, dominant and recessive genetic models, respectively. Analysis showed that rs2241766T>G was significant associated with PMI risk in a addition model in Chinese Han population(OR=1.446, 95%CI 1.006-2.079, P=0.035), and rs12629945G>A was significant association with PMI risk in a dominant model in Chinese Han population(OR=1.609, 95%CI 1.006-2.573, P=0.041). Adiponectin levels in PMI group were significantly lower than in control group ((863.3±112.8)μg/L vs.(910.4±117.1)μg/L, P=0.042). Adiponectin levels were significantly lower in patients with the homozygous mutation genotype (GG) compared to patients with the heterozygote mutant and wild type genotypes (GT+ TT) in adiponectin gene rs2241766 T>G polymorphisms ((859.4±98.1)μg/L vs. (908.9±113.1)μg/L, P=0.032). CONCLUSION: The rs2241766T>G and rs12629945G>A polymorphisms in the adiponectin gene were associated with PMI in Chinese Han population. Rs2241766T>G polymorphisms is linked with lower plasma adiponectin levels, and increased risk of PMI.
OBJECTIVE: To investigate the relationship between adiponectin gene polymorphisms and premature myocardial infarction (PMI). METHODS: A total of 306 PMI patients of Beijing Anzhen Hospital were identified from March 2013 to January 2015 using the case-control method, 412 patients with normal coronary angiography results served as the control group. 17 single nucleotide polymorphisms (SNPs) in adiponectin gene were selected and genotyped using mass spectrometry. The Chi-squared test was used to compare allele and genotype frequencies between PMI and control groups. The plasma adiponectin concentrations were measured using enzyme-linked immunoassay, and the relationship was analyzed between adiponectin level and SNPs. RESULTS: There was no significant difference in allele frequencies and in genotype frequencies between PMI patients and controls (P>0.05). Multivariate logistic regression models were used to estimate the correlation in additive, dominant and recessive genetic models, respectively. Analysis showed that rs2241766T>G was significant associated with PMI risk in a addition model in Chinese Han population(OR=1.446, 95%CI 1.006-2.079, P=0.035), and rs12629945G>A was significant association with PMI risk in a dominant model in Chinese Han population(OR=1.609, 95%CI 1.006-2.573, P=0.041). Adiponectin levels in PMI group were significantly lower than in control group ((863.3±112.8)μg/L vs.(910.4±117.1)μg/L, P=0.042). Adiponectin levels were significantly lower in patients with the homozygous mutation genotype (GG) compared to patients with the heterozygote mutant and wild type genotypes (GT+ TT) in adiponectin gene rs2241766 T>G polymorphisms ((859.4±98.1)μg/L vs. (908.9±113.1)μg/L, P=0.032). CONCLUSION: The rs2241766T>G and rs12629945G>A polymorphisms in the adiponectin gene were associated with PMI in Chinese Han population. Rs2241766T>G polymorphisms is linked with lower plasma adiponectin levels, and increased risk of PMI.
Authors: Joseph Sam Kanu; Shuang Qiu; Yi Cheng; Ri Li; Changgui Kou; Yulu Gu; Ye Bai; Jikang Shi; Yong Li; Yunkai Liu; Yaqin Yu; Yawen Liu Journal: Lipids Health Dis Date: 2018-05-28 Impact factor: 3.876