TY - JOUR
T1 - Peroxisome Proliferator-activated Receptor Gamma
T2 - Genetic Polymorphisms Are Not Associated With Metabolic Syndrome in Taiwan
AU - Su, Fu-Hsiung
AU - Chen, Mei-Chieh
AU - Liu, Chiu Shong
AU - Huang, Yi Chieh
AU - Lin, Cheng Chieh
AU - Sung, Fung Chang
AU - Su, Chien-Tien
AU - Yeh, Chih-Ching
N1 - Publisher Copyright:
© 2014, Taipei Medical University. Published by Elsevier Taiwan LLC.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - Background: Peroxisome proliferator-activated receptor gamma (PPARγ) is one of the transcriptional regulators of adipocyte differentiation; it was suggested to be a candidate gene modulating obesity, insulin resistance, and dyslipidemia. Aim: This study explored the association between PPARγ genetic polymorphisms (Pro12Ala and C161T) and the risk of metabolic syndrome (MetS) in Han Taiwanese participants. Methods: This cross-sectional study included 346 participants with MetS and 804 without MetS. The parameters for fasting serum concentrations of glucose and lipids were measured. The presence or absence of MetS was determined according to the modified criteria of the third report of the National Cholesterol Education Program's Adult Treatment Panel (NCEP ATP III). PPARγ genetic polymorphisms were genotyped with real-time polymerase chain reaction. Results: Frequencies of the Pro12Ala Ala allele and C161T T allele among non-MetS participants were 5.2% and 26.0%, respectively. The Pro12Ala and C161T polymorphisms were not significantly associated with MetS risk (odds ratio=0.75, 95% confidence interval=0.47-1.21 and odds ratio=0.92, 95% confidence interval=0.70-1.20). No significant association was observed between haplotypes of the PPARγ gene and MetS risk even following stratification by sex. Conclusion: This result suggests that PPARγ C161T and Pro12Ala genetic polymorphisms may not be associated with MetS among Han Taiwanese.
AB - Background: Peroxisome proliferator-activated receptor gamma (PPARγ) is one of the transcriptional regulators of adipocyte differentiation; it was suggested to be a candidate gene modulating obesity, insulin resistance, and dyslipidemia. Aim: This study explored the association between PPARγ genetic polymorphisms (Pro12Ala and C161T) and the risk of metabolic syndrome (MetS) in Han Taiwanese participants. Methods: This cross-sectional study included 346 participants with MetS and 804 without MetS. The parameters for fasting serum concentrations of glucose and lipids were measured. The presence or absence of MetS was determined according to the modified criteria of the third report of the National Cholesterol Education Program's Adult Treatment Panel (NCEP ATP III). PPARγ genetic polymorphisms were genotyped with real-time polymerase chain reaction. Results: Frequencies of the Pro12Ala Ala allele and C161T T allele among non-MetS participants were 5.2% and 26.0%, respectively. The Pro12Ala and C161T polymorphisms were not significantly associated with MetS risk (odds ratio=0.75, 95% confidence interval=0.47-1.21 and odds ratio=0.92, 95% confidence interval=0.70-1.20). No significant association was observed between haplotypes of the PPARγ gene and MetS risk even following stratification by sex. Conclusion: This result suggests that PPARγ C161T and Pro12Ala genetic polymorphisms may not be associated with MetS among Han Taiwanese.
KW - Genetic polymorphism
KW - Metabolic syndrome
KW - Peroxisome proliferator-activated receptor gamma
KW - Genetic polymorphism
KW - Metabolic syndrome
KW - Peroxisome proliferator-activated receptor gamma
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U2 - 10.1016/j.jecm.2014.10.013
DO - 10.1016/j.jecm.2014.10.013
M3 - Article
AN - SCOPUS:84916236262
SN - 1878-3317
VL - 6
SP - 195
EP - 199
JO - Journal of Experimental and Clinical Medicine (Taiwan)
JF - Journal of Experimental and Clinical Medicine (Taiwan)
IS - 6
ER -