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1.
Basic & Clinical Medicine ; (12): 638-642, 2018.
Article in Chinese | WPRIM | ID: wpr-693956

ABSTRACT

Objective To study the relationship among rs505802 in SLC22A12,rs6855911,rs737267,rs12498742, rs7442295, rs734553, rs16890979 in SLC2A9 genetic polymorphisms and hypouricemia in Ningxia.Methods 6 056 subjects were collected by multistage,stratified random cluster sampling method in October and November in 2011 in Ningxia Hui autonomous region, 98 subjects with hypouricemia were selected.According to gender and age,84 controls were selected.Physical examination and laboratory biochemical index test were conducted for the study population.T test was used to compare general clinical data and biochemical indexs between two groups. SNPs were detected by Sequenom Mass ARRAY technology.By x2test,we compared the frequencies of the geno-type and allele in each group.Samples representativeness was confirmed through the Hardy-Weinberg inspection. Results The levels of TC, LDLC, and Cr in the patients were lower than those in the control group(P<0.05). There were significant differences in the distribution of A,G allele frequencies of SLC2A9 gene rs7442295 between two groups.The risk of hypouricemia in patients with A/A genotype was lower than that of A/G genotype(Pc<0.05),indicating that A>G mutation was associated with hypouricemia.Conclusions Polymorphisms of SLC2A9 gene rs7442295 are significantly correlated with hyporuricemia in Ningxia.

2.
Journal of Chinese Physician ; (12): 1447-1449, 2008.
Article in Chinese | WPRIM | ID: wpr-396292

ABSTRACT

Objective To evaluate the clinical and biochemical characteristics of type 2 diabetics with hyperuricemia and to investi-gate the association between serum uric acid and the number of metabolic syndrome components. Method In the cross-sectional study of 547 type 2 diabetics, we recorded body mass index (BMI), systolic blood pressure(SBP), diastolic blood pressure (DBP), and collected blood samples to measure serum uric acid (UA), fasting plasma glucose (FPG), glycosylated hemoglobin (HbAlc), creatinine (Cr) and blood lipid profile, including tfiglyceride (TG), total cholesterol (TC), low-density cholesterol LDL-C) and high-density cholesterol (HDL-C). Results Compared with the normal UA group, the diabetic patients in the high UA group had significantly increased levels of BMI, SBP, DBP, FPG, Cr, TG, TC and HbA1c (P <0.05, P <0.01, P <0.05, P <0.01, P <0.01), and decreased level of HDL-C(P < 0.05). There was no significant difference in the level of LDL-C between the two groups (P > 0.05). According to their possession of 1, 2, 3 or 4 components of metabolic syndrome, 547 cases were divided into four groups (MSI, MS2,MS3 and MS4). There were significant difference in the levels of UA, BMI, SBP, DBP, Cr, TG, TC, LDL-C and HDL-C among MSI, MS2, MS3 and MS4 (All P < 0.05). Multiple regression analysis showed that UA concentration was positively correlated with sex, TG and Cr (Beta:0. 088,0. 350, 0. 124; P < 0.05, P <0.01, P <0.01) and negatively correlated with HDL-C and HbA1 c(Beta: -0.107, -0.124 ; P <0.01, P <0.01). The con-centration of UA was strongly correlated with serum TG. Conclusions Serum UA level in type 2 diabetics was significantly elevated as the number of metabolic components increased. Abnormal TG had great influence on serum UA. Hyperuricemia was considered to be a dangerous factor of the metabolic syndrome.

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