Project description:In this study we conducted transcriptomics analyses of: (i) liver samples from patients suffering from acetaminophen-induced acute liver failure (n=3) and from healthy livers (n=2) and (ii) hepatic cell systems exposed to acetaminophen, including their respective vehicle controls. The investigated in vitro systems are: HepaRG cells, HepG2 cells and a novel human skinpostnatal stem cell-derived model i.e. human skin-precursors-derived hepatocyte-like cells (hSKP-HPC). Clinical samples were obtained after surgical removal of the explant liver of patients diagnosed with ALF due to acetaminophen intoxication and treated by orthotopic liver transplantation (n=3). Samples from healthy livers were obtained from individuals deceased from brain damage (n=2).
Project description:In this study we conducted transcriptomics analyses of: (i) liver samples from patients suffering from acetaminophen-induced acute liver failure (n=3) and from healthy livers (n=2) and (ii) hepatic cell systems exposed to acetaminophen, including their respective vehicle controls. The investigated in vitro systems are: HepaRG cells, HepG2 cells and a novel human skinpostnatal stem cell-derived model i.e. human skin-precursors-derived hepatocyte-like cells (hSKP-HPC). Clinical samples were obtained after surgical removal of the explant liver of patients diagnosed with ALF due to acetaminophen intoxication and treated by orthotopic liver transplantation (n=3). Samples from healthy livers were obtained from individuals deceased from brain damage (n=2). Different samples of hSKP, HepG2 and HepaRG were obtained from the same cell batch of each cell system. All cells were exposed for 24 hours to their corresponding sub cytotoxic concentrations (IC10): IC10(hSKP-HPC)=18mM; IC10(HepaRG)=13mM; IC10(HepG2)=2mM. Experiments were conducted in triplicate. This dataset is part of the TransQST collection.
Project description:Acetaminophen is the primary cause of acute liver toxicity in Europe/USA. Therefore, the FDA reconsiders recommendations concerning safe acetaminophen dosage/use. Current tests for liver toxicity are no ideal predictive markers for liver injury. Here, ‘omics techniques (global analysis of metabolomic/gene expression responses) may provide additional insight. To better understand acetaminophen-induced responses at low dose, we evaluated effects of (sub-)therapeutic acetaminophen doses on metabolite formation/global gene-expression changes (including, for the first time, miRNA) in blood/urine samples from healthy human volunteers.
Project description:The frequent use of rodent hepatic in vitro systems in pharmacological and toxicological investigations challenges extrapolation of in vitro results to the situation in vivo and interspecies extrapolation from rodents to humans. The toxicogenomics approach may aid in evaluating relevance of these model systems for human risk assessment by direct comparison of toxicant-induced gene expression profiles and infers mechanisms between several systems. In the present study, acetaminophen (APAP) was used as a model compound to compare gene expression responses between rat and human using in vitro cellular models, hepatocytes, and between rat in vitro and in vivo. Comparison at the level of modulated biochemical pathways and biological processes rather than at that of individual genes appears preferable as it increases the overlap between various systems. Pathway analysis by T-profiler revealed similar biochemical pathways and biological processes repressed in rat and human hepatocytes in vitro, as well as in rat liver in vitro and in vivo. Repressed pathways comprised energy-consuming biochemical pathways, mitochondrial function, and oxidoreductase activity. Conclusion: the present study is the first that used a toxicogenomics-based parallelogram approach, extrapolating in vitro to in vivo and interspecies, to reveal relevant mechanisms indicative of APAP-induced liver toxicity in humans in vivo. Gene expression profiles of sandwich-cutlured primary rat hepatocytes exposed to 5 mM and 10 mM acetaminophen were used in a parallelogram approach in order to compare gene expression responses between rat and human using in vitro cellular models, heaptocytes, and between rat in vitro and in vivo Keywords: Toxicogenomics, dose response
Project description:The frequent use of rodent hepatic in vitro systems in pharmacological and toxicological investigations challenges extrapolation of in vitro results to the situation in vivo and interspecies extrapolation from rodents to humans. The toxicogenomics approach may aid in evaluating relevance of these model systems for human risk assessment by direct comparison of toxicant-induced gene expression profiles and infers mechanisms between several systems. In the present study, acetaminophen (APAP) was used as a model compound to compare gene expression responses between rat and human using in vitro cellular models, hepatocytes, and between rat in vitro and in vivo. Comparison at the level of modulated biochemical pathways and biological processes rather than at that of individual genes appears preferable as it increases the overlap between various systems. Pathway analysis by T-profiler revealed similar biochemical pathways and biological processes repressed in rat and human hepatocytes in vitro, as well as in rat liver in vitro and in vivo. Repressed pathways comprised energy-consuming biochemical pathways, mitochondrial function, and oxidoreductase activity. Conclusion: the present study is the first that used a toxicogenomics-based parallelogram approach, extrapolating in vitro to in vivo and interspecies, to reveal relevant mechanisms indicative of APAP-induced liver toxicity in humans in vivo. expression profiles of sandwich-cultured primary human hepatocytes exposed to 5 mM and 10 mM acetaminophen were used in a parallelogram approach in order to compare gene expression responses between rat and human using in vitro cellular models, hepatocytes, and between rat in vitro and in vivo. Keywords: Toxicogenomics, dose response
Project description:Our preliminary data suggest that differential gut microbiota modulates acetaminophen-induced hepatotoxicity (APAP toxicity) in mice model. The goal of our study is to determine whether commensal gut microbiota modulates the hepatic gene expressions potentially responsible for modulating APAP toxicity.
Project description:Acetaminophen is the primary cause of acute liver toxicity in Europe/USA. Therefore, the FDA reconsiders recommendations concerning safe acetaminophen dosage/use. Current tests for liver toxicity are no ideal predictive markers for liver injury. Here, ‘omics techniques (global analysis of metabolomic/gene expression responses) may provide additional insight. To better understand acetaminophen-induced responses at low dose, we evaluated effects of (sub-)therapeutic acetaminophen doses on metabolite formation/global gene-expression changes (including, for the first time, miRNA) in blood/urine samples from healthy human volunteers. Three dose rounds with 6 individuals were performed with 0.5, 2 or 4 g APAP. In the 0.5 and 2 g dose-rounds T0(control) T1, T7 and T25 samples were collected in the 4g round only T0(control) and T25 samples are available.
Project description:Reddyhoff2015 - Acetaminophen metabolism and toxicity
This model examines acetaminophen metabolism and related hepatotoxicity. Multiple pathways associated with APAP metabolism has been included in the model. Using numerical, sensitivity and timescale analysis, key parameters involved in the toxicity has been identified. The model analysis highlights a critical acetaminophen dose in terms of the model parameters.
This model is described in the article:
Timescale analysis of a mathematical model of acetaminophen metabolism and toxicity.
Reddyhoff D, Ward J, Williams D, Regan S, Webb S
J Theor Biol. 2015 Dec 7;386:132-46.
Abstract:
Acetaminophen is a widespread and commonly used painkiller all over the world. However, it can cause liver damage when taken in large doses or at repeated chronic doses. Current models of acetaminophen metabolism are complex, and limited to numerical investigation though provide results that represent clinical investigation well. We derive a mathematical model based on mass action laws aimed at capturing the main dynamics of acetaminophen metabolism, in particular the contrast between normal and overdose cases, whilst remaining simple enough for detailed mathematical analysis that can identify key parameters and quantify their role in liver toxicity. We use singular perturbation analysis to separate the different timescales describing the sequence of events in acetaminophen metabolism, systematically identifying which parameters dominate during each of the successive stages. Using this approach we determined, in terms of the model parameters, the critical dose between safe and overdose cases, timescales for exhaustion and regeneration of important cofactors for acetaminophen metabolism and total toxin accumulation as a fraction of initial dose.
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