Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network.

ABSTRACT: In a century where toxicology and chemical risk assessment are embracing alternative methods to animal testing, there is an opportunity to understand the causal factors of neurodevelopmental disorders such as learning and memory disabilities in children, as a foundation to predict adverse effects. New testing paradigms, along with the advances in probabilistic modelling, can help with the formulation of mechanistically-driven hypotheses on how exposure to environmental chemicals could potentially lead to developmental neurotoxicity (DNT). This investigation aimed to develop a Bayesian hierarchical model of a simplified AOP network for DNT. The model predicted the probability that a compound induces each of three selected common key events (CKEs) of the simplified AOP network and the advers

SUBMITTER: Spinu N 

PROVIDER: S-EPMC8857173 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature