Integration of Computational Toxicology, Toxicogenomics Data Mining, and Omics Techniques to Unveil Toxicity Pathways

Growing numbers of synthetic chemicals have potential endocrine-disrupting effects and cause potential ecological and health risks. However, the primary toxicity pathways and mechanisms of endocrine disruption are poorly understood and the existing risk assessment relies heavily on animal testing. Database mining, omics technology, and computer simulation can serve as an alternative approach to explore the mechanisms by building adverse outcome pathways (AOPs). The present study took a case of thyroid interference with triphenyl phosphate (TPP) to explain the potential toxic effects at levels from submolecules to cells utilizing the AOP framework developed by multiple techniques. This study retrieved the data from a comparative toxicogenomics database (CTD) and screened out the core gene. Molecular dynamics (MD) analysis was used to explore configuration changes and confirm the molecular initiating event (MIE). The transcriptomic analysis was further utilized to supplement the relationships between MIEs and key events (KEs) of the AOP. The thyroid hormone receptor beta (THRB) was identified as the core gene at submolecular levels. MD analysis found that the configuration changes of C-terminal helix 12 (H12) of thyroid hormone receptor beta (TR beta) were discovered as the MIE. The transcriptomic analysis extended the related KE1 at the subcellular level, such as changes in gene expression levels for coding cycle regulation (CCND1), inflammatory response (IL1A and IL6), and cell proliferation and apoptosis (BAD, TP53, and CASP9). Then, the KE2 at cellular levels such as apoptosis, cell cycle control, and cell proliferation were influenced accordingly. As a result, these alterations led to thyroid disorder as adverse outcomes. This study provided an efficient way to facilitate the complement of possible AOPs and brought new insights into understanding the toxic mechanisms of emerging synthetic chemicals.

Automated summary

The study utilized various techniques to explore the potential toxic effects of triphenyl phosphate (TPP) on thyroid interference at submolecular to cellular levels through the AOP framework. Data was retrieved from a comparative toxicogenomics database (CTD) to identify core genes, molecular dynamics (MD) analysis was used to investigate configuration changes and confirm the molecular initiating event (MIE), and transcriptomic analysis was employed to supplement the relationships between MIEs and key events (KEs) of the AOP.