bioRxivPharmacology & Toxicology
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
F. A. Mueller, M. Stamou, F. Englert, O. Frenzel, S. Diedrich, J. F. Wambaugh, S. J. Sturla
Abstract
1Nonalcoholic 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.
- organism: human
- assay: imaging
- research focus: drug response / drug discovery
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Integrated transcriptomics and metabolomics reveal signatures of lipid metabolism dysregulation in HepaRG liver cells exposed to PCB 126
R. Mesnage, M. Biserni, … M. A. Antoniou·bioRxiv·Feb 3, 2018
- A diet-independent zebrafish model for NAFLD recapitulates patient lipid profiles and offers a system for small molecule screening
M. K. Singh, R. Yadav, … C. Sachidanandan·Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of LipidsPeer-reviewed·Jan 1, 2023
- A high fat containing chicken egg-only diet suppresses fatty liver induced by a lipid-rich methionine and choline deficient diet.
K.-i. Isobe, N. Nishio, … M. Nagasaki·bioRxiv·Jun 14, 2020
- Mass Spectrometry Reveals that Oxysterols are Secreted from Non-Alcoholic Fatty Liver Disease Induced Organoids
K. S. Komurcu, I. Wilhelmsen, … H. Roberg-Larsen·bioRxiv·Feb 22, 2023
- Detecting altered hepatic lipid oxidation by MRI in an animal model of NAFLD
M. A. McLeod, M. Ragavan, … M. Merritt·bioRxiv·Aug 16, 2023
- Modeling alcoholic liver disease in a human Liver-Chip
J. C. Nawroth, D. B. Petropolis, … K. Karalis·bioRxiv·Jul 14, 2020