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Blood mercury mediates the associations between fish consumption and serum uric acid levels among Chinese adults: A nationally representative study.
Wu, Changzi; Wu, Bing; Qu, Yingli; Fu, Hui; Chen, Yue; Lu, Yifu; Ji, Saisai; Ding, Liang; Li, Zheng; Sun, Qi; Zhang, Miao; Zhang, Xu; Ying, Bo; Zhao, Feng; Zheng, Xulin; Qiu, Yidan; Zhang, Zheng; Li, Kexin; Zhu, Ying; Cao, Zhaojin; Lv, Yuebin; Shi, Xiaoming.
Affiliation
  • Wu C; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Wu B; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Qu Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Fu H; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Chen Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Lu Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Ji S; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Ding L; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Li Z; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Sun Q; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Zhang M; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Zhang X; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Ying B; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Zhao F; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Zheng X; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Qiu Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Zhang Z; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Li K; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Zhu Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Cao Z; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Lv Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
  • Shi X; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute of Enviro
Environ Res ; 260: 119612, 2024 Nov 01.
Article in En | MEDLINE | ID: mdl-39004394
ABSTRACT
Fish consumption can increase purine load in human body, and the enrichment of mercury in fish may affect the glomerular filtration function, both resulting in increased serum uric acid (SUA) levels. The data of blood mercury (BHg), fish consumption frequency and SUA levels of 7653 participants aged 18 years or older was from China National Human Biomonitoring (2017-2018). The associations between fish consumption frequency, ln-transformed BHg and SUA levels were explored through weighted multiple linear regressions. The mediating effect of BHg levels between fish consumption frequency and SUA levels was evaluated by mediation analysis. We found that both the fish consumption frequency and BHg were positively associated with SUA levels in both sexes. Compared to participants who had never consumed fish, participants who consumed fish once a week or more had higher SUA levels [ß (95% confidence interval, CI) 20.39 (2.16, 38.62) in males; ß (95% CI) 10.06 (0.76, 19.37) in females] and ln-transformed BHg [ß (95% CI) 0.97 (0.61, 1.34) in males; ß (95% CI) 0.84 (0.63, 1.05) in females]. Each 1-unit increase in ln-transformed BHg, the SUA levels rose by 4.78 (95% CI 0.01, 9.54) µmol/L for males and 3.81 (95% CI 1.60, 6.03) µmol/L for females. The association between fish consumption with SUA levels was mediated by ln-transformed BHg with the percent mediated of 34.66% in males and 26.58% in females. It revealed that BHg played mediating roles in the elevation of SUA levels caused by fish consumption. This study's findings could promote the government to intervene in mercury pollution in fish, so as to ensure the safety of fish consumption.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uric Acid / Seafood / Mercury Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Environ Res Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uric Acid / Seafood / Mercury Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Environ Res Year: 2024 Document type: Article Country of publication: