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

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• 作者：Xiayun Dai ; Jing Yuan ; Ping Yao ; Binyao Yang…
• 关键词：Uric acid ; Variation ; Metabolic syndrome
• 刊名：European Journal of Epidemiology
• 出版年：2013
• 出版时间：August 2013
• 年：2013
• 卷：28
• 期：8
• 页码：669-676
• 全文大小：216KB
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• 作者单位：Xiayun Dai (1)
  Jing Yuan (1)
  Ping Yao (1)
  Binyao Yang (1)
  Lixuan Gui (1)
  Xiaomin Zhang (1)
  Huan Guo (1)
  Youjie Wang (1)
  Weihong Chen (1)
  Sheng Wei (1)
  Xiaoping Miao (1)
  Xiulou Li (2)
  Xinwen Min (2)
  Handong Yang (2)
  Weimin Fang (1)
  Yuan Liang (1)
  Frank B. Hu (3)
  Tangchun Wu (1)
  Meian He (1)
  
  1. 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
  2. Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei, China
  3. Department of Nutrition and Epidemiology, Harvard School of Public Health, Boston, MA, USA
  
• ISSN：1573-7284

文摘

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-.14; rs2231142, OR?=?1.02, 95?% CI 0.95-.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-.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.