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Associations of heavy metal exposure with diabetic retinopathy in the U.S. diabetic population: a cross-sectional study.
Meng, Chunren; Gu, Chufeng; Cai, Chunyang; He, Shuai; Lai, Dongwei; Qiu, Qinghua.
Afiliação
  • Meng C; Department of Ophthalmology, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Gu C; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China.
  • Cai C; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China.
  • He S; Department of Ophthalmology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, China.
  • Lai D; Department of Ophthalmology, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Qiu Q; Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Diseases; Shanghai Clinical Research Center for Eye Diseases, Shanghai, China.
Front Public Health ; 12: 1401034, 2024.
Article em En | MEDLINE | ID: mdl-39148656
ABSTRACT

Background:

Mounting evidence suggests a correlation between heavy metals exposure and diabetes. Diabetic retinopathy (DR) is a prevalent and irreversible complication of diabetes that can result in blindness. However, studies focusing on the effects of exposure to heavy metals on DR remain scarce. Thus, this study aimed to investigate the potential correlation between heavy metals exposure and DR.

Methods:

A total of 1,146 diabetics from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018 were included in this study. Heavy metal levels were measured via urine testing. Weighted logistic regression, Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS) regression, and restricted cubic spline (RCS) were utilized to investigate the potential relationships between exposure to 10 heavy metals and DR. Finally, subgroup analysis was conducted based on the glycemic control status.

Results:

Among the 1,146 participants, 239 (20.86%) were diagnosed with DR. Those with DR had worse glycemic control and a higher prevalence of chronic kidney disease compared to those without DR. Moreover, both the WQS regression and BKMR models demonstrated a positive relationship between exposure to mixed heavy metals and the risk of DR. The results of weighted logistic regression revealed a positive correlation between cobalt (Co) and antimony (Sb) exposure and the risk of DR (OR = 1.489, 95%CI 1.064-2.082, p = 0.021; OR = 1.475, 95% CI 1.084-2.008, p = 0.014), while mercury (Hg) exposure was found to promote DR exclusively in the group with good glycemic control (OR = 1.509, 95% CI 1.157-1.967, p = 0.003). These findings were corroborated by the results of the RCS analysis.

Conclusion:

Heavy metal exposure is associated with an increased risk of DR, especially Sb, Co, and Hg exposure. Nevertheless, well-designed prospective studies are warranted to validate these findings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inquéritos Nutricionais / Metais Pesados / Retinopatia Diabética Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inquéritos Nutricionais / Metais Pesados / Retinopatia Diabética Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article