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PROVIDER: PRJNA96857 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series:; GSE5593: Acetaminophen (APAP) Rat Blood Training Gene Expression Data Set; GSE5594: Acetaminophen (APAP) Rat Blood Test Gene Expression Data Set; GSE5595: Acetaminophen (APAP) Rat Liver Test Gene Expression Data Set; The Supplementary files (appended below) contain the mapping for the decoding of blinded samples. Experiment Overall Design: Refer to individual Series
2008-06-14 | E-GEOD-5652 | biostudies-arrayexpress
Project description:Sluka2016 - Acetaminophen metabolism
Liver metabolism of Acetaminophen: Acetaminophen (APAP) is
metabolized in the liver in both Phase I and Phase II reactions.
Phase II reactions convert APAP to APAP-glucuronide and
APAP-sulfate. Phase I reactions involve Cytochrome P450 mediated
(mostly Cyp450-2E1 and -1A2) conversion of APAP to
N-acetyle-p-quinoneimine (NAPQI), which goes on to react with
cellular nucleophiles such as glutathione (GSH). At high doses of
APAP significant GSH depletion in hepatocyte occurs resulting in
cell necrosis and and in extreme cases death.
This model is described in the article:
A Liver-Centric Multiscale
Modeling Framework for Xenobiotics.
Sluka JP, Fu X, Swat M, Belmonte JM,
Cosmanescu A, Clendenon SG, Wambaugh JF, Glazier JA.
PLoS ONE 2016; 11(9): e0162428
Abstract:
We describe a multi-scale, liver-centric in silico modeling
framework for acetaminophen pharmacology and metabolism. We
focus on a computational model to characterize whole body
uptake and clearance, liver transport and phase I and phase II
metabolism. We do this by incorporating sub-models that span
three scales; Physiologically Based Pharmacokinetic (PBPK)
modeling of acetaminophen uptake and distribution at the whole
body level, cell and blood flow modeling at the tissue/organ
level and metabolism at the sub-cellular level. We have used
standard modeling modalities at each of the three scales. In
particular, we have used the Systems Biology Markup Language
(SBML) to create both the whole-body and sub-cellular scales.
Our modeling approach allows us to run the individual
sub-models separately and allows us to easily exchange models
at a particular scale without the need to extensively rework
the sub-models at other scales. In addition, the use of SBML
greatly facilitates the inclusion of biological annotations
directly in the model code. The model was calibrated using
human in vivo data for acetaminophen and its sulfate and
glucuronate metabolites. We then carried out extensive
parameter sensitivity studies including the pairwise
interaction of parameters. We also simulated population
variation of exposure and sensitivity to acetaminophen. Our
modeling framework can be extended to the prediction of liver
toxicity following acetaminophen overdose, or used as a general
purpose pharmacokinetic model for xenobiotics.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000624.
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To the extent possible under law, all copyright and related or
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2022-02-09 | BIOMD0000000624 | BioModels
Project description:Genetic disruption of thioredoxin reductase 1 protects against acetaminophen (APAP) toxicity. To determine the role of the thioredoxin system on xenobiotic metabolism we challeneged wildtype and txnrd1liver-null mice with acetaminophen. Adult male wildtype and txnrd1 liver-null mice (C57BL6/J) were treated with either saline (PBS) or 100mg/kg APAP. Liver RNA was harvested eight hours after challenge and processed for microarray analysis. Comparison of 2 treatment conditions in 2 genotypes, biological replicates in triplicate.
2013-06-08 | E-GEOD-37874 | biostudies-arrayexpress
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.
2011-07-07 | E-GEOD-30418 | biostudies-arrayexpress
Project description:Acetaminophen (APAP) is the most widely used analgesic in the United States. Its acute overdose causes liver damage by inducing localized centrilobular cell death. Because of widespread use, APAP toxicity has become the most frequent cause of acute liver failure. Many factors have been associated with the susceptibility of APAP-induced liver injuries, however, few of them have been confirmed and used in the clinical setting. We tried to identify the subset of factors that could affect susceptibility to APAP-induced liver injury by an integrative genetic, transcriptional and 2-D-NMR-based metabolomic analysis across a panel of inbred mouse strains. Experiment Overall Design: After a single administration of high dose (300 mg/kg i.p.) APAP, liver and blood samples were extracted from 3 sensitive (C57B6, DBA/2, and SmJ) and 1 resistant (SJL) mice strains at 0, 3 and 6 hour after APAP exposure. Endogenous metabolites from liver samples were analyzed by 1H-13C 2-dimensional-NMR and gene expression changes occurring within these liver samples were simultaneously analyzed using Affymetrix microarrays. The transcriptional and metabolomic data was jointly analyzed, and functional information within the Gene Ontology database was used to identify the subset of genes that could affect susceptibility to APAP-induced liver injury in the early phase response.
2009-08-23 | E-GEOD-17649 | biostudies-arrayexpress
Project description:The combination of increasing consumption rates and limited elimination under conventional waste water treatment practices of many pharmaceutical compounds has now led to their detection in aquatic environments. Three of the most frequently detected pharmaceuticals in the environment are Acetaminophen (APAP), Atenolol (AT) and Carbamazepine (CBZ). Atlantic salmon (parr) was exposed to environmentally relevant levels of Acetaminophen (APAP) (54.77 ± 34.67 µg·L-1), Atenolol (AT) (11.08 ± 7.98 µg·L-1) and Carbamzepine (CBZ) (7.85 ± 0.13 µg·L-1). Gene expression was analyzed in liver tissues using a 16K GRASP (University of Victoria, Canada) cDNA microarray. GRASP 16K v.2 cDNA microarrays were used for this study (Accession # A-GEOD-2716). A dual-labelled experimental design was employed for the microarray hybridisations. Each experimental cDNA sample (Cy3 labeled) was competitively hybridised against a common pooled-reference sample (Cy5 labeled). The entire experiment comprised 20 hybridisations - 4 states (APAP, AT, CBZ, control) × 1 time-point ( at 5 days) × 5 biological replicates (males only). Hybridisations were undertaken concurrently.
2012-02-29 | E-TABM-1213 | biostudies-arrayexpress
Project description:Overdose of acetaminophen (APAP) is the major cause of acute liver failure in the Western world with very limited treatment options. Previous studies from our groups and others have shown that timely activation of liver regeneration is a critical determinant of transplant-free survival of APAP-induced acute liver failure (ALF) patients. We used affy microarrays to explore the mechanisms of transcriptional expression in YAP-KO mice after 300mg/kg APAP overdose.
2021-10-04 | GSE183119 | GEO
Project description:Acetaminophen (N-acetyl-p-aminophenol; APAP) is a mild analgesic and antipyretic used commonly worldwide. Although APAP is considered a safe and effective over-the-counter medication, it is also the leading cause of drug-induced acute liver failure. Its hepatotoxicity has been linked to the covalent binding of its reactive metabolite, N-acetyl p-benzoquinone imine (NAPQI), to proteins. The aim of this in vivo study was to identify APAP-protein targets in both rat and mouse liver, and to compare the results from both species, using bottom-up proteomics and targeted multiple reaction monitoring (MRM) experiments. Livers from rats and mice, treated with APAP, were homogenized and digested by trypsin. Digests were then fractionated by mixed-mode solid-phase extraction prior to liquid chromatography-tandem mass spectrometry (LC-MS/MS) using scheduled multiple reaction monitoring (MRM) acquisition. The targeted assays were optimized based on high-resolution MS/MS data from information-dependent acquisition (IDA) using control liver homogenates treated with a custom alkylating reagent forming a positional isomer of the APAP modification on all cysteine residues, in order to build an in-house modified peptide database for targeted analysis. A list of putative in vivo targets of APAP were screened from previous in vitro studies, data-dependent high-resolution MS/MS analyses of liver digests, as well as selected proteins from the target protein database (TPDB), an online resource which references previous reports of proteins found to be modified by acetaminophen. Multiple protein targets of APAP in each species were found, while confirming modification sites.
2022-02-17 | PXD027674 | Pride
Project description:Acetaminophen (APAP) is the most widely used analgesic in the United States. Its acute overdose causes liver damage by inducing localized centrilobular cell death. Because of widespread use, APAP toxicity has become the most frequent cause of acute liver failure. Many factors have been associated with the susceptibility of APAP-induced liver injuries, however, few of them have been confirmed and used in the clinical setting. We tried to identify the subset of factors that could affect susceptibility to APAP-induced liver injury by an integrative genetic, transcriptional and 2-D-NMR-based metabolomic analysis across a panel of inbred mouse strains.
2009-08-14 | GSE17649 | GEO
Project description:Acetaminophen (APAP) Rat Blood Training Gene Expression Data Set
| PRJNA104357 | ENA