BACKGROUND: The -1131T>C polymorphism in the apolipoprotein gene A5 (APOA5) was found to be associated with increased levels of plasma triglyceride and decreased levels of high-density lipoprotein cholesterol (HDL-C), which are characteristic dyslipidemic components of metabolic syndrome. This study aimed to identify a link between this polymorphism and the risk of metabolic syndrome. METHODS: The sample population comprised 615 unrelated subjects, 18.7% of whom had metabolic syndrome. Genotypes were determined via polymerase chain reaction, restriction mapping with MseI, and gel electrophoresis. RESULTS: A significantly higher level of triglycerides and a lower level of HDL-C were noted in carriers of the -1131C allele than in the non-carriers (p<0.001 and p=0.044, respectively). The frequency of the -1131C allele in the metabolic syndrome-affected subjects was significantly higher than that of the group of unaffected subjects (37.4% vs. 27.7%, p=0.004). Even after adjusting for age, gender, smoking, regular exercise, and waist-to-hip ratio, the APOA5 -1131C allele carriers remained significantly associated with an increased risk of metabolic syndrome (OR=1.77, 95% CI, 1.13-2.77; p=0.012). CONCLUSIONS: These results indicate that the association of APOA5 -1131T>C polymorphism with dyslipidemia can also contribute to an increased susceptibility to metabolic syndrome in the Chinese, as a result of its effect on triglyceride metabolism.
BACKGROUND: The -1131T>C polymorphism in the apolipoprotein gene A5 (APOA5) was found to be associated with increased levels of plasma triglyceride and decreased levels of high-density lipoprotein cholesterol (HDL-C), which are characteristic dyslipidemic components of metabolic syndrome. This study aimed to identify a link between this polymorphism and the risk of metabolic syndrome. METHODS: The sample population comprised 615 unrelated subjects, 18.7% of whom had metabolic syndrome. Genotypes were determined via polymerase chain reaction, restriction mapping with MseI, and gel electrophoresis. RESULTS: A significantly higher level of triglycerides and a lower level of HDL-C were noted in carriers of the -1131C allele than in the non-carriers (p<0.001 and p=0.044, respectively). The frequency of the -1131C allele in the metabolic syndrome-affected subjects was significantly higher than that of the group of unaffected subjects (37.4% vs. 27.7%, p=0.004). Even after adjusting for age, gender, smoking, regular exercise, and waist-to-hip ratio, the APOA5 -1131C allele carriers remained significantly associated with an increased risk of metabolic syndrome (OR=1.77, 95% CI, 1.13-2.77; p=0.012). CONCLUSIONS: These results indicate that the association of APOA5 -1131T>C polymorphism with dyslipidemia can also contribute to an increased susceptibility to metabolic syndrome in the Chinese, as a result of its effect on triglyceride metabolism.
Authors: Chao Qiang Jiang; Bin Liu; Bernard M Y Cheung; Tai Hing Lam; Jie Ming Lin; Ya Li Jin; Xiao Jun Yue; Kwok Leung Ong; Sidney Tam; Ka Sing Wong; Brian Tomlinson; Karen S L Lam; G Neil Thomas Journal: Eur J Hum Genet Date: 2010-06-23 Impact factor: 4.246
Authors: Ferenc Hadarits; Péter Kisfali; Márton Mohás; Anita Maász; Balázs Duga; Ingrid Janicsek; István Wittmann; Béla Melegh Journal: Mol Biol Rep Date: 2011-06-04 Impact factor: 2.316
Authors: Mary F Feitosa; Ping An; Jose M Ordovas; Shamika Ketkar; Paul N Hopkins; Robert J Straka; Donna K Arnett; Ingrid B Borecki Journal: Atherosclerosis Date: 2011-01-21 Impact factor: 5.162
Authors: Aldi T Kraja; Dhananjay Vaidya; James S Pankow; Mark O Goodarzi; Themistocles L Assimes; Iftikhar J Kullo; Ulla Sovio; Rasika A Mathias; Yan V Sun; Nora Franceschini; Devin Absher; Guo Li; Qunyuan Zhang; Mary F Feitosa; Nicole L Glazer; Talin Haritunians; Anna-Liisa Hartikainen; Joshua W Knowles; Kari E North; Carlos Iribarren; Brian Kral; Lisa Yanek; Paul F O'Reilly; Mark I McCarthy; Cashell Jaquish; David J Couper; Aravinda Chakravarti; Bruce M Psaty; Lewis C Becker; Michael A Province; Eric Boerwinkle; Thomas Quertermous; Leena Palotie; Marjo-Riitta Jarvelin; Diane M Becker; Sharon L R Kardia; Jerome I Rotter; Yii-Der Ida Chen; Ingrid B Borecki Journal: Diabetes Date: 2011-03-08 Impact factor: 9.461