Disrupted metabolic pathways and potential human diseases induced by bisphenol S.
Although the toxicity of bisphenol S has been studied in some species, the global metabolic network disrupted by bisphenol S remains unclear. To this end, published datasets related to the genes, proteins, and metabolites disturbed by bisphenol S were investigated through omics methods. The dataset revealed that bisphenol S at high concentrations tended to downregulate biomolecules, while low concentrations of bisphenol S tended to enhance metabolic reactions. The results showed that exposure to bisphenol S upregulated estrogen and downregulated androgen metabolism in humans, mice, rats, and zebrafish. Fatty acid metabolism and phospholipid metabolism in mice were upregulated. Reactions in amino acid metabolism were upregulated, with the exception of the suppressive conversion of arginine to ornithine. In zebrafish, fatty acid synthesis was promoted, while nucleotide metabolism was primarily depressed through the downregulation of pyruvate 2-o-phosphotransferase. The interference in amino acid metabolism by bisphenol S could trigger Alzheimer's disease, while its disturbance of glucose metabolism was associated with type II diabetes. Disturbed glycolipid metabolism and vitamin metabolism could induce Alzheimer's disease and diabetes. These findings based on omics data provide scientific insight into the metabolic network regulated by bisphenol S and the diseases triggered by its metabolic disruption.
['An|Haiyan|H|', 'Yu|Henan|H|', 'Wei|Yibo|Y|', 'Liu|Feng|F|', 'Ye|Jinshao|J|']
D000544:Alzheimer Disease D000596:Amino Acids D000818:Animals D002784:Cholesterol D003924:Diabetes Mellitus, Type 2 D004952:Esters D005227:Fatty Acids D005260:Female D023281:Genomics D005947:Glucose D006801:Humans D050356:Lipid Metabolism D008297:Male D053858:Metabolic Networks and Pathways D055432:Metabolomics D051379:Mice D010636:Phenols D010743:Phospholipids D051381:Rats D013450:Sulfones D013552:Swine D014815:Vitamins D015027:Zebrafish
Metabolic network Omics Diabetes Alzheimer’s disease Interference mechanism