Study On The Relationship Between Polymorphism Of UCP2or Srebp-1c Gene And Metabolic Syndrome Among Chinese

Background and Aim:UCP2is a natural uncoupling agent which is present in inner-membrane of mitochondrial. It is associated with diabetes, obesity. Sterol regulatory element binding protein (SREBPs) is an important nuclear transcription factor which plays an imortant role mainly through the regulation of fat and cholesterol synthesis in energy homeostasis. It is reported that UCP2and SREBP-1c might be associated with risk of metabolic syndrome (MetS). We aimed to investigate polymorphisms of UCP245bp-I/D and SREBP-lc54G>C with MetS of Han population in Zhejiang province China, to analyze its correlation with MetS components and to explore the potential molecular mechanism of UCP2and SREBP-lc on MetS.Methods:We adopted the diagnostic criteria of MetS from2005International Diabetes Federation (IDF) and2013Chinese Diabetes Society (CDS) respectively.The genotypes of the UCP2-45bp I/D were determined by means of PCR(polymerase Chain Reaction)and the genotypes of the SREBP-1c54G>C were determined by means of PCR-RFLP (polymerase Chain Reaction-Restriction Fragment Length Polymorphism).Results:760cases of Han population were randomly selected without blood relationship of Hangzhou Zhejiang province.95subjects fulfilled the2005IDF criteria for metabolic syndrome and we called it MetS group.109subjects belonged to control group, which all the blood tests and physical examination were normal, we named it normal group(N group).The genotypes of UCP2-45bp I/D were D/D, D/I, I/I. In the MetS group of UCP2, the percentage of D/D, D/I and I/I were72.63%,22.11%,5.26%, whlie the percentage of D/D, D/I and I/I were88.99%,6.42%,4.59%in N group, respectively. I allele frequency was16.32%in MetS group, and7.80%in N group. It had significant differences of genotype distribution (P=0.036) and allele frequency (P=0.042) between the two groups. Furthermore, in MetS group, subjects with D/I, I/I genomes, the wiast circumference,TC,FINS, and HOMA-IR levels were significantly higher than that in D/D genomes. The P values were0.036,0.028,0.041,0.026respectively. The difference was statistically significant (P<0.05). Binary logistic regression showed that D/I, I/I polymorphisms were correlated with MetS (Exp (B)2.566, P=0.026). About SREBP-lc: The percentage of G/G, G/C, CC genotypes in MetS group were45.26%,47.37%,7.37%, and the percentage of G/G, G/C, CC genotypes in N group were42.20%,49.54%,8.26%, respectively. G, C allele frequency was68.95%or31.05%in MetS group and66.97%or33.03%in N group. Genotype distribution (P=0.084) and allele frequency (P=0.096) of the two groups had no significant difference. According to the2013diagnostic criteria of CDS:78cases were diagnosed with MetS from760cases,109cases in N group. About UCP2:The percentage of D/D, D/I and I/I genotypes were78.21%,16.67%,5.13%in MetS group, the percentage of D/D, D/I and I/I genotypes were88.99%,6.42%,4.59%in N group respectively.I allele frequency was13.46%in MetS group, and7.80%in N group. Genotype distribution (P=0.04) and allele frequency (P=0.045) in two groups showed significant difference. In the MetS group, subjects with D/I, I/I genomes, the waist circumference and HOMA-IR levels were significantly higher than that in D/D genome. The P values were0.042and0.021. The difference was statistically significant (P<0.05). By binary logistic regression, we found that D/I, I/I genotypes were associated with MetS (Exp (B)2.763, P=0.019). About SREBP-lc:The percentage of G/G, G/C, CC genotypes in MetS group were43.59%,44.87%,11.54%, and the percentage of G/G, G/C, CC genotypes in N group were42.20%,49.54%,8.26%, respectively. G, C allele frequency was66.03%or33.97%in MetS group and66.97%or33.03%in N group. Genotype distribution (P=0.591) and allele frequency (P=0.692) of the two groups had no significant difference.Conclusions:Our study shows that UCP2and SREBP-lc genes distributed polymorphicly in Han population in Zhejiang province China.The allele I of UCP2might be a risk factor for metabolic syndrome. This provides a new idea for prevention and control at the level of genes for metabolic syndrome. However, we found no relationship between the SREBP-1c54G>C gene polymorphism and metabolic syndrome.