Evidence map›Paper›PMID 26104854›Full record

ArticleArchives of toxicology2016

Interindividual variation in gene expression responses and metabolite formation in acetaminophen-exposed primary human hepatocytes.

Marlon J A Jetten, Ainhoa Ruiz-Aracama, Maarten L J Coonen, Sandra M Claessen, Marcel H M van Herwijnen, Arjen Lommen, Joost H M van Delft, Ad A C M Peijnenburg, Jos C S Kleinjans

Open access · hybridAbstract read
In one paragraph

Article in Archives of toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Marlon J A JettenDepartment of Toxicogenomics, Maastricht University, Universiteitssingel 50, Room 4.112 UNS 50, 6229 ER, Maastricht, The Netherlands. marlon.jetten@maastrichtuniversity.nl.
Ainhoa Ruiz-AracamaRIKILT, Institute of Food Safety, Wageningen UR, PO Box 230, 6700 AE, Wageningen, The Netherlands.
Maarten L J CoonenDepartment of Toxicogenomics, Maastricht University, Universiteitssingel 50, Room 4.112 UNS 50, 6229 ER, Maastricht, The Netherlands.
Sandra M ClaessenDepartment of Toxicogenomics, Maastricht University, Universiteitssingel 50, Room 4.112 UNS 50, 6229 ER, Maastricht, The Netherlands.
Marcel H M van HerwijnenDepartment of Toxicogenomics, Maastricht University, Universiteitssingel 50, Room 4.112 UNS 50, 6229 ER, Maastricht, The Netherlands.
Arjen LommenRIKILT, Institute of Food Safety, Wageningen UR, PO Box 230, 6700 AE, Wageningen, The Netherlands.
Joost H M van DelftDepartment of Toxicogenomics, Maastricht University, Universiteitssingel 50, Room 4.112 UNS 50, 6229 ER, Maastricht, The Netherlands.
Ad A C M PeijnenburgRIKILT, Institute of Food Safety, Wageningen UR, PO Box 230, 6700 AE, Wageningen, The Netherlands.
Jos C S KleinjansDepartment of Toxicogenomics, Maastricht University, Universiteitssingel 50, Room 4.112 UNS 50, 6229 ER, Maastricht, The Netherlands.
Maastricht University · NLWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acetaminophen (APAP) is a readily available over-the-counter drug and is one of the most commonly used analgesics/antipyretics worldwide. Large interindividual variation in susceptibility toward APAP-induced liver failure has been reported. However, the exact underlying factors causing this variability in susceptibility are still largely unknown. The aim of this study was to better understand this variability in response to APAP by evaluating interindividual differences in gene expression changes and APAP metabolite formation in primary human hepatocytes (PHH) from several donors (n = 5) exposed in vitro to a non-toxic to toxic APAP dose range. To evaluate interindividual variation, gene expression data/levels of metabolites were plotted against APAP dose/donor. The correlation in APAP dose response between donors was calculated by comparing data points from one donor to the data points of all other donors using a Pearson-based correlation analysis. From that, a correlation score/donor for each gene/metabolite was defined, representing the similarity of the omics response to APAP in PHH of a particular donor to all other donors. The top 1 % highest variable genes were selected for further evaluation using gene set overrepresentation analysis. The biological processes in which the genes with high interindividual variation in expression were involved include liver regeneration, inflammatory responses, mitochondrial stress responses, hepatocarcinogenesis, cell cycle, and drug efficacy. Additionally, the interindividual variation in the expression of these genes could be associated with the variability in expression levels of hydroxyl/methoxy-APAP and C8H13O5N-APAP-glucuronide. The before-mentioned metabolites or their derivatives have also been reported in blood of humans exposed to therapeutic APAP doses. Possibly these findings can contribute to elucidating the causative factors of interindividual susceptibility toward APAP.

Indexed as

AcetaminophenActivation, MetabolicAnalgesics, Non-NarcoticCells, CulturedChemical and Drug Induced Liver InjuryDose-Response Relationship, DrugGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenetic MarkersGenetic Predisposition to DiseaseHepatocytesHumansMetabolomicsPhenotypePrimary Cell CultureAcetaminophenAnalgesics, Non-NarcoticGenetic MarkersAflatoxin b1Benzo(a)pyreneDNA methylationGene expressionInterindividual variationPrimary human hepatocytes

Identifiers

PMID26104854
PMCPMC4830893
OpenAlexW1589687187

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.