Associations between two common single nucleotide polymorphisms (rs2241766 and rs1501299) of ADIPOQ gene and coronary artery disease in type 2 diabetic patients: a systematic review and meta-analysis

// Na Zhao 1,* , Ningxia Li 2,* , Shengjun Zhang 3 , Qiang Ma 4 , Cong Ma 5 , Xiaolan Yang 6 , Jie Yin 7 , Rui Zhang 8 , Jing Li 9 , Xiaogang Yang 10 and Tao Cui 11 1 Department of Blood Transfusion, The Dongguan District of The Affiliated Hospital of Yan’an University, Yan’an, People’s Republic of China 2 Department of Clinical Laboratory, The Second Affiliated Hospital of Xi’an Medical College, Xi’an, People’s Republic of China 3 Department of General Surgery, The Affiliated Hospital of Yan’an University, Yan’an, People’s Republic of China 4 Department of Vascular Disease and Hypertension, Peripheral Vascular, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China 5 Department of Cardiology, The First Affiliated Hospital of Medical College of Nanchang University, Nanchang, People’s Republic of China 6 Department of Clinical Laboratory, The First Renmin Hospital of Baiyin, Baiyin, People’s Republic of China 7 Department of Clinical Laboratory, The Diagnosis Technology Company of Di’an, Xi’an, People’s Republic of China 8 Department of Clinical Laboratory, The Affiliated Hospital of Yan’an Hospital, Yan’an, People’s Republic of China 9 Department of Infection Control, The Renmin Hospital of Yan’an City, Yan’an, People’s Republic of China 10 Department of Neurosurgery, The Affiliated Hospital of Yan’an University, Yan’an, People’s Republic of China 11 Department of Cardiology, The First Renmin Hospital of Xianyang, Xianyang, People’s Republic of China * These authors have contributed equality to this work Correspondence to: Tao Cui, email: // Xiaogang Yang, email: // Jing Li, email: // Keywords : ADIPOQ, polymorphism, coronary artery diseae, type 2 diabetic mellitus Received : September 06, 2016 Accepted : February 02, 2017 Published : May 31, 2017 Abstract ADIPOQ gene polymorphisms were indicated to be associated with coronary artery disease (CAD) in diabetic patients, however, published studies reported inconsistent results. We performed this meta-analysis to reach a more accurate estimation of the relationship between two common ADIPOQ genetic polymorphisms (rs2241766 and rs1501299) and CAD risk in diabetic patients. Eligible studies were retrieved by searching PubMed, Embase, Wangfang, VIP database and China National Knowledge Infrastructure databases. Included and excluded criteria were formulated. The case group was diabetic patients with CAD, and the control group was diabetic subjects without CAD. Summary odds rations (ORs) and 95% confidence intervals (CIs) were used to evaluate ADIPOQ polymorphisms associations with CAD risk in diabetic group. Heterogeneity was evaluated by Q statistic and I 2 statistic. A total of twelve published articles, involving 3996 cases and 8876 controls were included in this meta-analysis. The pooled results from rs1501299 polymorphism showed decreased risk in homozygote model (TT VS GG: OR=0.67, 95%CI=0.54-0.83). Heterogeneity was detected in our study. Sensitivity analysis and subgroup analysis were conducted in the meta-analysis. For rs2241766 polymorphism, an increased risk was detected in Caucasian subgroup in heterozygote model (CT VS TT: OR=1.19, 95%CI=1.00-1.42). In genotyping method (PCR-RFLP) subgroup, an increased risk was found in recessive model (GG VS GT+TT: OR=2.05, 95%CI=1.23-3.39). In the sensitivity analysis of rs1501299, decreased risk was detected in allelic model (T VS G: OR=0.86, 95%CI=0.76-0.98) and recessive model (TT VS TG+GG: OR=0.47, 95%CI=0.33-0.67). Publication bias is not observed in our results. Our meta-analysis suggests that the rs1501299 polymorphism may play a protective role in CAD in diabetic patients. The rs2241766 polymorphism is found to be associated with a significant increase in CAD risk in Caucasian and genotyping method (PCR-RFLP) subgroups. Further studies are needed to confirm the prediagnostic effect of the two gene polymorphisms in CAD risk in diabetic patients.