| Literature DB >> 28903485 |
Michelle M Angrish1, Charlene A McQueen1, Elaine Cohen-Hubal1, Maribel Bruno1, Yue Ge1, Brian N Chorley1.
Abstract
Risk assessors use liver endpoints in rodent toxicology studies to assess the safety of chemical exposures. Yet, rodent endpoints may not accurately reflect human responses. For this reason and others, human-based invitro models are being developed and anchored to adverse outcome pathways to better predict adverse human health outcomes. Here, a networked adverse outcome pathway-guided selection of biology-based assays for lipid uptake, lipid efflux, fatty acid oxidation, and lipid accumulation were developed. These assays were evaluated in a metabolically competent human hepatocyte cell model (HepaRG) exposed to compounds known to cause steatosis (amiodarone, cyclosporine A, and T0901317) or activate lipid metabolism pathways (troglitazone, Wyeth-14,643, and 22(R)-hydroxycholesterol). All of the chemicals activated at least one assay, however, only T0901317 and cyclosporin A dose-dependently increased lipid accumulation. T0901317 and cyclosporin A increased fatty acid uptake, decreased lipid efflux (inferred from apolipoprotein B100 levels), and increased fatty acid synthase protein levels. Using this biologically-based evaluation of key events regulating hepatic lipid levels, we demonstrated dysregulation of compensatory pathways that normally balance hepatic lipid levels. This approach may provide biological plausibility and data needed to increase confidence in linking invitro-based measurements to chemical effects on adverse human health outcomes. Published by Oxford University Press on behalf of the Society of Toxicology 2017. This work is written by US Government employees and is in the public domain in the US.Entities:
Keywords: adverse outcome pathway; chemical risk assessment; hepatic steatosis; high-throughput toxicity testing; mechanistic toxicology; nonalcoholic fatty liver disease
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Year: 2017 PMID: 28903485 PMCID: PMC8130650 DOI: 10.1093/toxsci/kfx121
Source DB: PubMed Journal: Toxicol Sci ISSN: 1096-0929 Impact factor: 4.849