Investigating the relationship of co-exposure to multiple metals with chronic kidney disease: An integrated perspective from epidemiology and adverse outcome pathways

Systematic studies on the associations between co-exposure to multiple metals and chronic kidney disease (CKD), as well as the underlying mechanisms, remain insufficient. This study aimed to provide a comprehensive perspective on the risk of CKD induced by multiple metal co-exposures through the int...

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Veröffentlicht in:Journal of hazardous materials 2024-12, Vol.480, p.135844, Article 135844
Hauptverfasser: Wang, Yican, Qiao, Mengyun, Yang, Haitao, Chen, Yuanyuan, Jiao, Bo, Liu, Shuai, Duan, Airu, Wu, Siyu, Wang, Haihua, Yu, Changyan, Chen, Xiao, Duan, Huawei, Dai, Yufei, Li, Bin
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Sprache:eng
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Zusammenfassung:Systematic studies on the associations between co-exposure to multiple metals and chronic kidney disease (CKD), as well as the underlying mechanisms, remain insufficient. This study aimed to provide a comprehensive perspective on the risk of CKD induced by multiple metal co-exposures through the integration of occupational epidemiology and adverse outcome pathway (AOP). The study participants included 401 male mine workers whose blood metal, β2-microglobulin (β2-MG), and cystatin C (Cys-C) levels were measured. Generalized linear models (GLMs), quantile g-computation models (qgcomp), least absolute shrinkage and selection operator (LASSO), and bayesian kernel machine regression (BKMR) were utilized to identify critical nephrotoxic metals. The mean concentrations of lead, cadmium, mercury, arsenic, and manganese were 191.93, 3.92, 4.66, 3.11, 11.35, and 16.33 µg/L, respectively. GLM, LASSO, qgcomp, and BKMR models consistently identified lead, cadmium, mercury, and arsenic as the primary contributors to kidney toxicity. Based on our epidemiological analysis, we used a computational toxicology method to construct a chemical-genetic-phenotype-disease network (CGPDN) from the Comparative Toxicogenomics Database (CTD), DisGeNET, and GeneCard databases, and further linked key events (KEs) related to kidney toxicity from the AOP-Wiki and PubMed databases. Finally, an AOP framework of multiple metals was constructed by integrating the common molecular initiating events (reactive oxygen species) and KEs (MAPK signaling pathway, oxidative stress, mitochondrial dysfunction, DNA damage, inflammation, hypertension, cell death, and kidney toxicity). This is the first AOP network to elucidate the internal association between multiple metal co-exposures and CKD, providing a crucial basis for the risk assessment of multiple metal co-exposures. [Display omitted] •Occupational exposure to multi-metals was associated with decreased kidney function.•Lead, cadmium, arsenic, and mercury were critical metals for kidney toxicity.•Integrated expert knowledge & data mining to develop an Adverse Outcome Pathway (AOP).•The AOP framework reveals the link between these metals and chronic kidney disease.•A promising method assesses the renal risk of multiple metal co-exposures.
ISSN:0304-3894
1873-3336
1873-3336
DOI:10.1016/j.jhazmat.2024.135844