作者: Hisham El-Masri , Nicole Kleinstreuer , Ronald N. Hines , Linda Adams , Tamara Tal
关键词: Physiologically based pharmacokinetic modelling 、 Environmental exposure 、 High-Throughput Screening Assays 、 Adverse Outcome Pathway 、 Anesthesia 、 Medicine 、 Developmental toxicity 、 Bioinformatics 、 Vasculogenesis 、 Toxicity 、 Environmental toxicology
摘要: A computational framework was developed to assist in screening and prioritizing chemicals based on their dosimetry, toxicity, potential exposures. The overall strategy started with contextualizing chemical activity observed high-throughput toxicity (HTS) by mapping these assays biological events described Adverse Outcome Pathways (AOPs). Next, vitro vivo (IVIVE) extrapolation used convert an dose external exposure level, which compared levels derive AOP-based margins of (MOE). In this study, the applied estimate MOEs for that can potentially cause developmental following a putative AOP fetal vasculogenesis/angiogenesis. physiologically pharmacokinetic (PBPK) model describe disposition during pregnancy, fetal, neonatal, infant adulthood stages. Using life-stage PBPK model, maternal exposures were estimated would yield blood equivalent concentration altered selected HTS related most sensitive vasculogenesis/angiogenesis AOP. resulting estimates then using literature data or models MOEs.