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• W4327571808 endingPage "153496" @default.
• W4327571808 startingPage "153496" @default.
• W4327571808 abstract "The current study aimed to assess the connection between the mixture of lead (Pb), cadmium (Cd), arsenic (As), methylmercury (MeHg) and decabrominated diphenyl ether (decaBDE) and thyroid function, by using in silico toxicogenomic data-mining approach. To obtain the linkage between investigated toxic mixture and thyroid diseases (TDs), the Comparative Toxicogenomics Database (CTD) was used, while gene ontology (GO) enrichment analysis was performed by ToppGeneSuite portal. The analysis has shown 10 genes connected to all chemicals present in the mixture and TDs (CAT, GSR, IFNG, IL1B, IL4, IL6, MAPK1, SOD2, TGFB1, TNF), most of which were in co-expression (45.68%), or belonged to the same pathway (30.47%). Top 5 biological processes and molecular functions affected by the investigated mixture emphasized the role of two common mechanisms - oxidative stress and inflammation. Cytokines and inflammatory response was listed as the main molecular pathway that may be triggered by simultaneous exposure to toxic metal(oid)s and decaBDE and connected to TDs. The direct relations between Pb/decaBDE and redox status impairment in thyroid tissue was confirmed by our chemical-phenotype interaction analysis, while the strongest linkage between Pb, As and decaBDE and thyroid disorders was found. The obtained results provide better understanding of molecular mechanisms involved in the thyrotoxicity of the investigated mixture, and can be used to direct further research." @default.
• W4327571808 created "2023-03-17" @default.
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• W4327571808 date "2023-05-01" @default.
• W4327571808 modified "2023-10-13" @default.
• W4327571808 title "In silico assessment of mixture toxicity mechanisms involved in the pathogenesis of thyroid diseases: The combination of toxic metal(oid)s and decabrominated diphenyl ether" @default.
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• W4327571808 doi "https://doi.org/10.1016/j.tox.2023.153496" @default.
• W4327571808 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36933645" @default.
• W4327571808 hasPublicationYear "2023" @default.

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