Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
Eur J Epidemiol. 2013 Aug;28(8):669-76. doi: 10.1007/s10654-013-9829-4. Epub 2013 Jul 18.
Our aim was to study whether there is causal association between serum uric acid and metabolic syndrome (MetS). A cross-sectional study was performed, including a total of 27,009 subjects (23,345 subjects having uric acid data) from the Dongfeng-Tongji Cohort study. The MetS was defined by the International Diabetes Foundation criteria of 2005. Association analysis was performed by logistic regression. A genetic risk score was calculated by adding the uric acid increasing alleles in two SNPs (rs11722228 in SLC2A9 and rs2231142 in ABCG2) which were identified from our genome-wide association study on uric acid levels. The causal association was examined by mendelian randomization analysis. Among a middle- and old-age Chinese population, serum uric acid concentrations were strongly associated with the risk of MetS and its several components (P < 0.0001). The effects were stronger in women than in men. Despite the lack of statistical significance, both SNPs exhibited a trend with increased MetS risk (rs11722228, OR = 1.06, 95 % CI 0.99-1.14; rs2231142, OR = 1.02, 95 % CI 0.95-1.10), consistent with their increasing uric acid effects. Each additional uric acid increasing allele in the genetic risk score was associated with 3 % increased MetS risk (OR = 1.03, 95 % CI 0.98-1.09; P = 0.23). Further adjustment for serum uric acid attenuated the trend of individual SNP and genetic risk score with increased MetS risk (all OR < 1.0). These findings suggested that serum uric acid was associated with MetS risk in a middle- and old-age Chinese population. Whether this association was causal remained to be investigated in the future studies.
我们的目的是研究血清尿酸与代谢综合征（MetS）之间是否存在因果关系。这项横断面研究纳入了来自东风-同济队列研究的 27009 名受试者（其中 23345 名受试者有尿酸数据）。MetS 按照国际糖尿病基金会 2005 年的标准定义。采用 logistic 回归进行关联分析。通过在我们的尿酸水平全基因组关联研究中确定的两个 SNP（SLC2A9 中的 rs11722228 和 ABCG2 中的 rs2231142）中增加尿酸升高的等位基因，计算遗传风险评分。通过 Mendelian 随机化分析检验因果关系。在中国中老年人人群中，血清尿酸浓度与 MetS 及其多个成分的发病风险密切相关（P<0.0001）。女性的作用强于男性。尽管没有统计学意义，但两个 SNP 均显示出 MetS 风险增加的趋势（rs11722228，OR=1.06，95%CI 0.99-1.14；rs2231142，OR=1.02，95%CI 0.95-1.10），与尿酸升高的作用一致。遗传风险评分中每增加一个尿酸升高的等位基因，MetS 风险增加 3%（OR=1.03，95%CI 0.98-1.09；P=0.23）。进一步调整血清尿酸后，个体 SNP 和遗传风险评分与 MetS 风险增加的趋势减弱（所有 OR<1.0）。这些发现表明，在中国中老年人人群中，血清尿酸与 MetS 风险相关。这种关联是否具有因果关系仍有待未来研究进一步探讨。
