Chemical screening of food-related chemicals for human fatty liver risk: Combining high content imaging of cellular responses with in vitro to in vivo extrapolation

Abstract

Nonalcoholic fatty liver disease (NAFLD) is an increasingly prevalent human disease with accumulating evidence linking its pathophysiology and co-morbidities to chemical exposures. The complex pathophysiology of NAFLD has limited the elucidation of potential chemical etiologies. In this study we generated a high-content imaging analysis method for the simultaneous quantification of sentinel steatosis cellular markers in chemically exposed human liver cells in vitro combined with a computational model for the extrapolation of human oral equivalent doses (OED). First, the in vitro test method was generated using 14 reference chemicals with known capacities to induce cellular alterations in nuclear morphology, lipid accumulation, mitochondrial membrane potential and oxidative stress. These effects were quantified on a single cell- and population-level, and then, using physiologically based pharmacokinetic modelling and reverse dosimetry, OEDs were extrapolated from these in vitro data. The extrapolated OEDs were confirmed to be within biologically relevant exposure ranges for the reference chemicals. Next, we tested 14 chemicals found in food, selected from thousands of putative chemicals on the basis of structure-based prediction for nuclear receptor activation. Amongst these, orotic acid had an extrapolated OED overlapping with realistic exposure ranges. By the strategy developed in this study, we were able to characterize known NAFLD-inducing chemicals and translate to data scarce food-related chemicals, amongst which we identified orotic acid to induce steatosis. This strategy addresses needs of next generation risk assessment, and can be used as a first chemical prioritization hazard screening step in a tiered approach to identify chemical risk factors for NAFLD.