Your browser doesn't support javascript.
loading
Correlation between urinary contents of some metals and fasting plasma glucose levels: A cross-sectional study in China.
Mo, Xiaoting; Cai, Jiansheng; Lin, Yinxia; Liu, Qiumei; Xu, Min; Zhang, Junling; Liu, Shuzhen; Wei, Chunmei; Wei, Yanfei; Huang, Shenxiang; Mai, Tingyu; Tan, Dechan; Lu, Huaxiang; Luo, Tingyu; Gou, Ruoyu; Zhang, Zhiyong; Qin, Jian.
Afiliación
  • Mo X; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Cai J; Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin 541004, Guangxi, China.
  • Lin Y; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Liu Q; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Xu M; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Zhang J; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Liu S; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Wei C; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Wei Y; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Huang S; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Mai T; Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China.
  • Tan D; Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China.
  • Lu H; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
  • Luo T; Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China.
  • Gou R; Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China.
  • Zhang Z; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China; Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541004, Guangxi, China. Electronic addres
  • Qin J; Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China. Electronic address: qinjian@gxmu.edu.cn.
Ecotoxicol Environ Saf ; 228: 112976, 2021 Nov 12.
Article en En | MEDLINE | ID: mdl-34781133
Many metals are involved in the pathogenesis of diabetes, but most of existing studies focused on single metals. The study of mixtures represents real-life exposure scenarios and deserves attention. This study aimed to explore the potential relationship of urinary copper (Cu), zinc (Zn), arsenic (As), selenium (Se), and strontium (Sr) contents with fasting plasma glucose (FPG) levels in 2766 participants. The levels of metals in urine were determined by inductively coupled plasma-mass spectrometry. We used linear regression models and the Bayesian kernel machine regression (BKMR) to evaluate the association between metals and FPG levels. In the multiple metals linear regression, Zn (ß = 0.434), Se (ß = 0.172), and Sr (ß = -0.143) showed significant association with FPG levels (all P < 0.05). The BKMR model analysis showed that the results of single metal association were consistent with the multiple metals linear regression. The mixture of five metals had a positive over-all effect on FPG levels, and Zn (PIP = 1.000) contributed the most to the FPG levels. Cu and As were negatively correlated with FPG levels in women. The potential interaction effect between Cu and Sr was observed in participants aged ≥ 60 years old (Pinteraction = 0.035). In summary, our results suggested that multiple metals in urine are associated with FPG levels. Further studies are needed to confirm these findings and clarify the underlying mechanisms.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ecotoxicol Environ Saf Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ecotoxicol Environ Saf Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos