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Associations Between Serum Multiple Metals Exposures and Metabolic Syndrome: a Longitudinal Cohort Study.
Feng, Xiuming; Li, Longman; Huang, Lulu; Zhang, Haiying; Mo, Zengnan; Yang, Xiaobo.
Afiliación
  • Feng X; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
  • Li L; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China.
  • Huang L; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China.
  • Zhang H; Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
  • Mo Z; Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
  • Yang X; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China.
Biol Trace Elem Res ; 199(7): 2444-2455, 2021 Jul.
Article en En | MEDLINE | ID: mdl-33009983
ABSTRACT
Although many studies have confirmed metabolic syndrome (MetS) is correlated with metal exposures, few studies have elucidated the associations of multiple metals with MetS risk. We aim to explore the relationship between serum 22 metals and MetS. We determined serum 22 metals using ICP-MS and used LASSO regression to select metals independently related with MetS to construct multiple-metals model. We further explored the dose-response relationship between positive metals and MetS by the restricted cubic spline regression. After screening by LASSO regression, serum 11 metals were selected to construct multiple-metals model in cross-sectional analysis, while 5 metals in longitudinal analysis. In the 11-metal model, only tin and zinc were associated with MetS in cross-sectional analysis (ORtin = 2.22, 95% CI1.43, 3.45; ORzinc = 2.17, 95% CI 1.42, 3.32; both Ptrend < 0.05). Besides, the same results were found in the 5-metal model in longitudinal analysis (HRtin = 1.66, 95% CI 0.87, 3.17; HRzinc = 1.83, 95% CI 1.07, 3.14; both Ptrend < 0.05). Moreover, there were positive linear relationships between serum tin and zinc concentrations and the increasing risk of MetS (both Poverall < 0.05, Pnon-linearity > 0.05). Furthermore, the interaction between high tin and high zinc was also associated with increasing MetS risk (Pinteraction < 0.05). We found that serum tin and zinc were independently and interactively associated with MetS in the southern Chinese men. Our results suggested that high tin and zinc may be the risk factors of MetS.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Síndrome Metabólico Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male País/Región como asunto: Asia Idioma: En Revista: Biol Trace Elem Res Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Síndrome Metabólico Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male País/Región como asunto: Asia Idioma: En Revista: Biol Trace Elem Res Año: 2021 Tipo del documento: Article País de afiliación: China