Association between serum uric acid and the metabolic syndrome among a middle- and old-age Chinese population

被引:75
作者
Dai, Xiayun [1 ,2 ]
Yuan, Jing [1 ,2 ]
Yao, Ping [1 ,2 ]
Yang, Binyao [1 ,2 ]
Gui, Lixuan [1 ,2 ]
Zhang, Xiaomin [1 ,2 ]
Guo, Huan [1 ,2 ]
Wang, Youjie [1 ,2 ]
Chen, Weihong [1 ,2 ]
Wei, Sheng [1 ,2 ]
Miao, Xiaoping [1 ,2 ]
Li, Xiulou [3 ,4 ]
Min, Xinwen [3 ,4 ]
Yang, Handong [3 ,4 ]
Fang, Weimin [1 ,2 ]
Liang, Yuan [1 ,2 ]
Hu, Frank B. [2 ,5 ]
Wu, Tangchun [1 ]
He, Meian [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Inst Occupat Med, Sch Publ Hlth, Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Minist Educ MOE, Key Lab Environm & Hlth, Sch Publ Hlth,Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China
[3] Dongfeng Motor Corp, Dongfeng Cent Hosp, Shiyan, Hubei, Peoples R China
[4] Hubei Univ Med, Shiyan, Hubei, Peoples R China
[5] Harvard Univ, Sch Med, Dept Nutr & Epidemiol, Boston, MA USA
关键词
Uric acid; Variation; Metabolic syndrome; GENOME-WIDE ASSOCIATION; MENDELIAN RANDOMIZATION; CARDIOVASCULAR-DISEASE; INSULIN-RESISTANCE; URATE TRANSPORTER; RISK-FACTORS; LEVEL; MORTALITY; TRAITS; GENES;
D O I
10.1007/s10654-013-9829-4
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:669 / 676
页数:8
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