State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese, Tianjin 301617, China.
Biomed Res Int. 2022 Sep 27;2022:2394398. doi: 10.1155/2022/2394398. eCollection 2022.
Polychlorinated biphenyls (PCBs) are persistent and highly toxic pollutants, which can accumulate in organisms and produce toxic effects, especially damaging the function of thyroid hormones. So far, the molecular mechanism of PCBs mixture and their metabolites interfering with thyroid hormones has not been studied thoroughly except for individual compounds. In this study, PubMed, Web of Science, and STITCH databases were used to search PCBs and their corresponding target proteins. The intersection of PCBs and thyroid hormone dysfunction target proteins was obtained from GeneCards. The "compounds-targets-pathways" network was constructed by Cytoscape software. And KEGG and Go analyses were performed for key targets. Finally, molecular docking was used to verify the binding effect. Four major active components, five key targets, and 10 kernel pathways were successfully screened by constructing the network. Functional enrichment analysis showed that the interference was mediated by cancer, proteoglycans, PI3K-Akt, thyroid hormone, and FoxO signaling pathways. The molecular docking results showed that the binding energies were less than -5 kcal·mol. PCBs and their metabolites may act on the key targets of MAPK3, MAPK1, RXRA, PIK3R1, and TP53. The toxic effect of sulfated and methyl sulfone PCBs is greater. The method of screening targets based on the simultaneous action of multiple PCBs can provide a reference for other research. The targets were not found in previous metabolite toxicity studies. It also provides a bridge for the toxic effects and experimental research of PCBs and their metabolites in the future.
多氯联苯 (PCBs) 是持久性和高毒性污染物,可在生物体内积累并产生毒性作用,特别是破坏甲状腺激素的功能。到目前为止,除了个别化合物外,尚未对 PCBs 混合物及其代谢物干扰甲状腺激素的分子机制进行深入研究。本研究利用 PubMed、Web of Science 和 STITCH 数据库搜索 PCBs 及其相应的靶蛋白。从 GeneCards 获得 PCBs 和甲状腺激素功能障碍靶蛋白的交集。利用 Cytoscape 软件构建“化合物-靶标-通路”网络。并对关键靶标进行 KEGG 和 GO 分析。最后,通过分子对接验证结合效果。通过构建网络,成功筛选出四个主要活性成分、五个关键靶标和十个核心通路。功能富集分析表明,干扰是通过癌症、蛋白聚糖、PI3K-Akt、甲状腺激素和 FoxO 信号通路介导的。分子对接结果表明,结合能小于-5kcal·mol。PCBs 及其代谢物可能作用于 MAPK3、MAPK1、RXRA、PIK3R1 和 TP53 等关键靶标。硫酸化和甲基砜化 PCBs 的毒性作用更大。基于多种 PCBs 同时作用筛选靶标的方法可为其他研究提供参考。在以前的代谢物毒性研究中未发现这些靶标。它也为未来 PCBs 及其代谢物的毒性作用和实验研究提供了桥梁。