Xiaomin Xing1, Yi Han2, Xiaojun Zhou3, Bo Zhang4, Yan Li2, Zhongsu Wang5, Lin Liao6, Lequn Su7. 1. School of Pharmacy, Shandong University, Jinan, Shandong Province, PR China; Department of Pharmacy, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, PR China. 2. Department of Pharmacy, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong Province, PR China. 3. School of Medicine, Shandong University, Jinan, Shandong Province, PR China. 4. School of Pharmacy, Shandong University, Jinan, Shandong Province, PR China. 5. Department of Cardiovascular, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong Province, PR China. 6. Department of Endocrinology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong Province, PR China. Electronic address: liaolin009@sina.com. 7. Department of Pharmacy, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong Province, PR China. Electronic address: sulequnqfs@163.com.
Abstract
OBJECTIVE: The goal of the genetic investigation was to identify the associations of serum lipid levels and DPP-4 variants in Chinese type 2 diabetes patients. METHODS: We detected four variants of the DPP4 gene in 190 Chinese individuals with type 2 diabetes and tested for an association with dyslipidemia in 82 selected samples. Data including basic information, HbA1c, FPG, serum lipid parameters were collected. Statistical analysis was performed by SPSS 13.0 through ANOVA and χ2 test. RESULTS: The genetic polymorphism of rs4664443, rs3788979, rs7608798 and rs1558957 in Chinese type 2 diabetes were consistent with Hardy-Weinberg equilibrium. The CT genotype of rs4664443 suffered from higher serum TG (P=0.013), LDL (P=0.044) and ApoB (P=0.006) levels, whereas the TT genotype of rs7608798 exhibited a lower serum TG level (P=0.037). For rs3788979, the serum TG level (P=0.034) and BMI (P=0.04) were significantly different among genotypes. Moreover, serum TG and TC levels and BMI showed a positive correlation with the number unfavorable alleles, and individuals with more than two unfavorable alleles had higher TG (P=0.004), TC (P=0.011), and BMI (P=0.044) values. CONCLUSIONS: This is the first study to investigate DPP4 allelic distributions and their association with dyslipidemia in Chinese type 2 diabetes patients, which may have clinical significance.
OBJECTIVE: The goal of the genetic investigation was to identify the associations of serum lipid levels and DPP-4 variants in Chinese type 2 diabetespatients. METHODS: We detected four variants of the DPP4 gene in 190 Chinese individuals with type 2 diabetes and tested for an association with dyslipidemia in 82 selected samples. Data including basic information, HbA1c, FPG, serum lipid parameters were collected. Statistical analysis was performed by SPSS 13.0 through ANOVA and χ2 test. RESULTS: The genetic polymorphism of rs4664443, rs3788979, rs7608798 and rs1558957 in Chinese type 2 diabetes were consistent with Hardy-Weinberg equilibrium. The CT genotype of rs4664443 suffered from higher serum TG (P=0.013), LDL (P=0.044) and ApoB (P=0.006) levels, whereas the TT genotype of rs7608798 exhibited a lower serum TG level (P=0.037). For rs3788979, the serum TG level (P=0.034) and BMI (P=0.04) were significantly different among genotypes. Moreover, serum TG and TC levels and BMI showed a positive correlation with the number unfavorable alleles, and individuals with more than two unfavorable alleles had higher TG (P=0.004), TC (P=0.011), and BMI (P=0.044) values. CONCLUSIONS: This is the first study to investigate DPP4 allelic distributions and their association with dyslipidemia in Chinese type 2 diabetespatients, which may have clinical significance.
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