Combining Network Pharmacology with Molecular Docking for Mechanistic Research on Thyroid Dysfunction Caused by Polybrominated Diphenyl Ethers and Their Metabolites

Biomed Res Int. 2021 Nov 17:2021:2961747. doi: 10.1155/2021/2961747. eCollection 2021.

Abstract

Network pharmacology was used to illuminate the targets and pathways of polybrominated diphenyl ethers (PBDEs) causing thyroid dysfunction. A protein-protein interaction (PPI) network was constructed. Molecular docking was applied to analyze PBDEs and key targets according to the network pharmacology results. A total of 247 targets were found to be related to 16 PBDEs. Ten key targets with direct action were identified, including the top five PIK3R1, MAPK1, SRC, RXRA, and TP53. Gene Ontology (GO) functional enrichment analysis identified 75 biological items. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified 62 pathways mainly related to the regulation of the thyroid hormone signaling pathway, MAPK signaling pathway, PI3K-Akt signaling, pathways in cancer, proteoglycans in cancer, progesterone-mediated oocyte maturation, and others. The molecular docking results showed that BDE-99, BDE-153, 5-OH-BDE47, 5'-OH-BDE99, 5-BDE47 sulfate, and 5'-BDE99 sulfate have a good binding effect with the kernel targets. PBDEs could interfere with the thyroid hormone endocrine through multiple targets and biological pathways, and metabolites demonstrated stronger effects than the prototypes. This research provides a basis for further research on the toxicological effects and molecular mechanisms of PBDEs and their metabolites. Furthermore, the application of network pharmacology to the study of the toxicity mechanisms of environmental pollutants provides a new methodology for environmental toxicology.

MeSH terms

  • Databases, Chemical
  • Databases, Genetic
  • Databases, Protein
  • Drug Evaluation, Preclinical
  • Environmental Pollutants / chemistry
  • Environmental Pollutants / metabolism
  • Environmental Pollutants / toxicity
  • Gene Ontology
  • Gene Regulatory Networks / drug effects
  • Halogenated Diphenyl Ethers / chemistry
  • Halogenated Diphenyl Ethers / metabolism
  • Halogenated Diphenyl Ethers / toxicity*
  • Humans
  • Molecular Docking Simulation
  • Protein Interaction Maps / drug effects
  • Protein Interaction Maps / genetics
  • Thyroid Diseases / chemically induced*
  • Thyroid Diseases / genetics
  • Thyroid Diseases / metabolism

Substances

  • Environmental Pollutants
  • Halogenated Diphenyl Ethers