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Associations of exposure to multiple metals with the risk of age-related cataract in Anhui, China: a case-control study.
Li, Yan-Qing; Wang, Qian; Liu, Ran; Li, Guo-Ao; He, Jia-Liu; Huang, Fen; Zhou, Yan-Feng.
Afiliação
  • Li YQ; Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, 230022, Anhui, China.
  • Wang Q; Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, 230022, Anhui, China.
  • Liu R; Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, 230022, Anhui, China.
  • Li GA; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
  • He JL; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
  • Huang F; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
  • Zhou YF; Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, No.218, Jixi Road, Shushan District, Hefei, 230022, Anhui, China. lizzhou@163.com.
Environ Sci Pollut Res Int ; 30(2): 4680-4693, 2023 Jan.
Article em En | MEDLINE | ID: mdl-35972654
ABSTRACT
It's well-known that multiple metal elements can lead to the change of oxidative stress response levels in vivo. However, their relationship with age-related cataract (ARC) had not been well studied. We designed a case-control study including 210 individuals with ARC and 210 matched control group. The metal levels in their urine specimens were measured using graphite furnace atomic absorption spectrometry (GFAAS) and inductively coupled plasma optical emission spectrometry (ICP-OES). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to select representative metals into the multi-element model and reduce dimension. Multivariate logic analysis and Bayesian kernel machine regression (BKMR) were subsequently used to explore the association of ARC risk with multiple metal elements. We found that magnesium (Mg), chromium (Cr), arsenic (As), manganese (Mn), and selenium (Se) were positively associated with ARC in the single-element model. The multiple exposure model indicated a positive association between Mg and As, in which the OR in their highest quartile were 3.32 (95% CI 1.24-8.89) and 7.09 (95% CI 2.56-19.63). The BKMR model also showed the effect of As increased monotonically with its increasing concentration, and high levels of Mg and As had a significant positive effect on ARC risk. In conclusion, we found that exposure to multiple metals was associated with increased ARC risk. Further research is needed to verify these findings in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Selênio Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Selênio Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China