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Objective To explore the influencing factors of serum uric acid (UA) level and its relationship with SLC2A9 gene polymorphism. Methods A total of 2000people in the health examination center of Yangpu District Central Hospital were selected to examine their blood pressure, blood sugar, blood lipid and other biochemical indicators. The single nucleotide polymorphism (SNP) locus rs2241480 of SLC2A9 gene was detected and analyzed. According to UA level, UA was divided into high UA group (n=217), middle UA group (n=1705) and low UA group (n=78). The biochemical indexes and SLC2A9 genotype of each group were compared, and the relationship between UA and SLC2A9 gene polymorphism was analyzed. Results The prevalence of hyperuricemia (HUA) was 10.85% in physical examination population, 12.92% in males, which was significantly higher than 8.48% in females (P﹤0.05). With the increase of UA level, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), blood urea nitrogen (BUN), creatinine (Cr) increased significantly, and high density lipoprotein (HDL-C-c) increased significantly.) there was a significant decrease, with statistical significance (P﹤0.05). The genotyping of rs2241480 locus in different UA levels showed significant difference (P﹤0.05). Male (OR=1.99), BMI (OR=3.01), SBP (OR=3.77) were independent risk factors for HUA, while HDL-C (OR=0.27) and rs2241480 locus genotype (CC, OR=0.41) were protective factors (P﹤0.05). Conclusion Traditional cardiovascular risk factors such as blood pressure and lipid are independent risk factors for UA level. SLC2A9 gene polymorphism may be associated with the occurrence of HUA.
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@#Introduction: Gout is one of the most common inflammatory arthritis in Malaysia. It is due to persistent hyperuricemia that leads to the formation and deposition of intra- and periarticular monosodium urate crystals either due to excessive production or insufficient excretion of uric acid. Incidence and prevalence of gout is increasing worldwide, with a higher rate among men compared to women. Malay is the largest ethnic group in Malaysia, followed by Chinese and Indian. SLC2A9 is a renal urate transporter that controls renal uric acid excretion and genetic variants in SLC2A9 are associated with the risk of gout in several populations. This study aimed to test if the SLC2A9 variant (R265H, rs3733591) is also associated with gout among Malays in Malaysia. Methodology: A total of 89 patients with gouty arthritis and 100 normal subjects who consented and were recruited in this study. The serum urate and creatinine were measured. The SNP genotyping was performed using PCR-RFLP method for rs3733591 and BST 1236 was used as a restriction enzyme to cut the targeted amplicons. Result: SLC2A9 variant was associated with gout, p-value of 0.007, OR=4.713 [95%CI 1.530-14.513], however this association was not significant after adjustment for age and gender with p=0.465 (OR=1.950; 95%CI[0.325-11.718]). Conclusion: Our data suggest that the genetic variant of SLC2A9 may contribute to the susceptibility of gout among Malays in Malaysia.
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BACKGROUND/AIMS: Gout is a common inf lammatory arthritis triggered by the crystallization of uric acid in the joints. Serum uric acid levels are highly heritable, suggesting a strong genetic component. Independent studies to confirm the genetic associations with gout in various ethnic populations are warranted. We investigated the association of polymorphisms in the ABCG2 and SLC2A9 genes with gout in Korean patients and healthy individuals. METHODS: We consecutively enrolled 109 patients with gout and 102 healthy controls. The diagnosis of gout was based on the preliminary criteria of the America College of Rheumatology. Genomic DNA was extracted from whole blood samples. We identified single nucleotide polymorphism (SNP) changes in the ABCG2 and SLC2A9 genes using a direct sequencing technique. rs2231142 in ABCG2 and rs6449213 and rs16890979 in SLC2A9 and nearby regions were amplified by polymerase chain reaction. RESULTS: Patients with gout had significantly higher A/A genotype (29.3% vs. 4.9%, respectively) and A allele (52.8% vs. 26.5%, respectively) frequencies of rs2231142 in ABCG2 than did controls (chi2 = 29.42, p G and c.1002+78G>A) in the SLC2A9 gene. The univariate logistic regression analysis revealed that the c.881A>G and c.1002+78G>A SNPs were significantly higher in patients than in controls. CONCLUSIONS: We demonstrated a significant association between rs2231142 in the ABCG2 gene and gout and identified novel SNPs, c.881A>G and c.1002+78G>A, in the SLC2A9 gene that may be associated with gout in a Korean population.
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Humanos , Transportadores de Cassetes de Ligação de ATP/genética , Artrite Gotosa/sangue , Povo Asiático/genética , Biomarcadores/sangue , Estudos de Casos e Controles , Distribuição de Qui-Quadrado , Frequência do Gene , Estudos de Associação Genética , Predisposição Genética para Doença , Proteínas Facilitadoras de Transporte de Glucose/genética , Haplótipos , Modelos Logísticos , Proteínas de Neoplasias/genética , Razão de Chances , Fenótipo , Polimorfismo de Nucleotídeo Único , República da Coreia , Fatores de Risco , Ácido Úrico/sangueRESUMO
Objective To investigate the single nucleotide polymorphisms(SNPs) rs3733591(C>T) of SLC2A9 gene in Chinese Han population, and to explore the association of this gene polymorphisms with gout susceptibility, tophi, serum uric acid levels, other clinical and laboratory data and the levels of SLC2A9 mRNA of peripheral blood mononuclear cells(PBMCs). Methods ① A total of 297 primary gout arthritis patients(GA) and 211 normal controls(NC) were enrolled into this study. The clinical and laboratory data of patients were collected. The genotypes and alleles frequencies were measured by using TaqMan ?SNP Geno-typing Assays and the possible association between gene polymorphism of SLC2A9 and gout was investigated by Chi-square test. The odds ratios(OR) and 95% confidence intervals(95%CI) were calculated. ② The lev-els of SLC2A9 mRNA on PBMCs of 86 gout patients(46 patients in remission) and controls were measured by real-time quantitative polymerase chain reaction (RT-qPCR). The nonparametric test was used to analyze the expression in different groups. Results The frequencies of genotypes and alleles of rs3733591(C>T) in gout patients were different from controls(P0.05). However, there was no significant difference in the distribution of genotypes and alleles between 30 tophaceous gout patients and 190 non-tophaceous gout patients(P>0.05). Conclusion Results of present study suggest the rs3733591(C>T) polymorphism of the SLC2A9 gene might be associated with gout development, but not with tophaceous gout. The C allele predisposes to gout, and TT genotype and T allele might protect Chinese Han population from developing gout. The rs3733591(C>T) polymorphism probably affects the susceptibility to gout by influencing the f expression of SLC2A9 mRNA susceptibility.
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Objective To detect the distribution of SLC2A9 rs10489070 polymorphism genotypes in Chinese Han population,and to explore the association of this gene polymorphism with gout susceptibility,tophi,serum uric acid levels and other clinical and laboratory data.Methods A total of 151 primary gout patients and 176.healthy controls were enrolled into this study.The genotypes and alleles frequencies were calculated by using TaqMan(R) SNP Genotyping Assays and the possible association between gene polymorphism of SLC2A9 and gout was investigated.T test,Chi-square and Fisher exact probabilities were used for statistcal analysis.Results Genotypes distribution were in Hardy-Weinberg equilibrium in gout patients and controls (P>0.05).The frequency of CC genotype in gout patients was significantly higher than that in the controls (78.8% vs 68.5%,P<0.05),aand the frequency of CG genotype in gout patients was significantly lower (19.9% vs 30.1%,P<0.05).However,there were no statistical differences in the alleles frequencies of C and G between gout patients and controls (P>0.05).Interestingly,there was significant difference in the distribution of genotypes between tophaceous gout patients and non-tophaceous gout patients (P<0.05),and the frequency of CG genolype was much lower in tophaceous gout patients (0 vs 22.7%,P<0.05).Conclusion Results of present study suggest that rs10489070 polymorphism of the SLC2A9 gene might be associated with gout development.CC genotype predisposes to gout,and CG genotype might protect Chinese Han population from gout and tophi development.
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ObjectiveSLC2A9 is a novel identified urate transporter that affects serum uric acid levels. The present study is aimed to investigate rs7442295 polymorphism in intron 6 of SLC2A9 in a population of Chinese male gout or hypemricaemia subjects. MethodsA total of 268 gout patients and 288 healthy male volunteers were included. Blood pressure, body mass index(BMI), serum uric acid, glucose, lipid,urea and creatine were detected. DNA was purified from peripheral blood and the rs7442295 polymorphism was evaluated using high resolution melting ( HRM ) analysis and direct sequencing. Data were analyzed with t test or chi-square test. Results A/A and A/G genotypes were unambiguously distinguished with HRM technology. The occurrence of the homozygous type (G/G) was completely absent among the study population.The prevalence of the A/A and A/G genotype was 96.2% and 3.8% respectively. However, no significant differences of genotype frequencies were found in gout patients and normal subjects(x2=0.003, P=0.82; x2=0.003, P=1.00). But the serum uric acid levels in individuals with the A/G genotype[(293±100) μmol/L]were significantly lower than those with the A/A genotype[(392±133) μmol/L](t=2.426, P<0.01 ). The A/G genotype frequency was significantly higher in the low-uric acid group than in the high uric-acid group (x2=6.279, P=0.01 ). Genotyping based on HRM was fully concordant with sequencing. Conclusion The polymorphism rs7442295 in SLC2A9 may be a genetic marker to assess risk of hyperuricemia among Chinese male Hart population. HRM is a simple, fast, reliable and close-tube technology for genotyping.