Evidence map›Paper›PMID 30511339›Full record

ArticleArchives of toxicology2018

Toxicogenomics directory of rat hepatotoxicants in vivo and in cultivated hepatocytes.

Marianna Grinberg, Regina M Stöber, Wiebke Albrecht, Karolina Edlund, Markus Schug, Patricio Godoy, Cristina Cadenas, Rosemarie Marchan, Alfonso Lampen, Albert Braeuning and 13 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Archives of toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  14. Letter to the editor.Archives of toxicology · 2019
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  16. Narrowing the Gap BetweenFrontiers in pharmacology · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 11 institutions in 4 countries.

Marianna GrinbergDepartment of Statistics, TU Dortmund University, Dortmund, Germany.
Regina M StöberLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
Wiebke AlbrechtLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
Karolina EdlundLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
Markus SchugLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
Patricio GodoyLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
Cristina CadenasLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
Rosemarie MarchanLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany.
Alfonso LampenDepartment of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Albert BraeuningDepartment of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Thorsten BuhrkeDepartment of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Marcel LeistFachbereich Biologie, University of Konstanz, Universitätsstrasse 1, 78457, Konstanz, Germany.
Axel OberemmDepartment of Food Safety, German Federal Institute for Risk Assessment, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Birte HellwigDepartment of Statistics, TU Dortmund University, Dortmund, Germany.
Hennicke KampBASF SE, Experimental Toxicology and Ecology, Ludwigshafen am Rhein, Germany.
Iain GardnerSimcyp (A Certara Company), Sheffield, UK.
Sylvia EscherFraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany.
Olivier TaboureauCenter for Protein Research, Novo Nordisk Foundation Center for Protein Research (NNFCPR), University of Copenhagen (UCPH), Copenhagen, Denmark.
Alejandro Aguayo-OrozcoCenter for Protein Research, Novo Nordisk Foundation Center for Protein Research (NNFCPR), University of Copenhagen (UCPH), Copenhagen, Denmark.
Agapios SachinidisInstitute of Neurophysiology and Centre for Molecular Medicine Cologne (CMMC), University of Cologne (UKK), Robert-Koch-Str. 39, 50931, Cologne, Germany.
Heidrun Ellinger-ZiegelbauerInvestigational Toxicology, Drug Discovery, Pharmaceuticals, Bayer AG, 42096, Wuppertal, Germany.
Jörg RahnenführerDepartment of Statistics, TU Dortmund University, Dortmund, Germany.
Jan G HengstlerLeibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), Ardeystrasse 67, 44139, Dortmund, Germany. hengstler@ifado.de.
Leibniz Research Centre for Working Environment and Human Factors · DETU Dortmund University · DEFederal Institute for Risk Assessment · DEBASF (Germany) · DEBayer (Germany) · DEFraunhofer Institute for Toxicology and Experimental Medicine · DEInserm · FRSimcyp (United Kingdom) · GBUniversity of Cologne · DEUniversity of Copenhagen · DKUniversity of Konstanz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomics is developing into an invaluable tool in toxicology. The aim of this study was, using a transcriptomics approach, to identify genes that respond similar to many different chemicals (including drugs and industrial compounds) in both rat liver in vivo and in cultivated hepatocytes. For this purpose, we analyzed Affymetrix microarray expression data from 162 compounds that were previously tested in a concentration-dependent manner in rat livers in vivo and in rat hepatocytes cultivated in sandwich culture. These data were obtained from the Japanese Toxicogenomics Project (TGP) and North Rhine-Westphalian (NRW) data sets, which represent 138 and 29 compounds, respectively, and have only 5 compounds in common between them. The in vitro gene expression data from the NRW data set were generated in the present study, while TGP is publicly available. For each of the data sets, the overlap between up- or down-regulated genes in vitro and in vivo was identified, and named in vitro-in vivo consensus genes. Interestingly, the in vivo-in vitro consensus genes overlapped to a remarkable extent between both data sets, and were 21-times (upregulated genes) or 12-times (down-regulated genes) enriched compared to random expectation. Finally, the genes in the TGP and NRW overlap were used to identify the upregulated genes with the highest compound coverage, resulting in a seven-gene set of Cyp1a1, Ugt2b1, Cdkn1a, Mdm2, Aldh1a1, Cyp4a3, and Ehhadh. This seven-gene set was then successfully tested with structural analogues of valproic acid that are not present in the TGP and NRW data sets. In conclusion, the seven-gene set identified in the present study responds similarly in vitro and in vivo to a wide range of different chemicals. Despite these promising results with the seven-gene set, transcriptomics with cultivated rat hepatocytes remains a challenge, because in general many genes are up- or downregulated by in vitro culture per se, respond differently to test compounds in vitro and in vivo, and/or show higher variability in the in vitro system compared to the corresponding in vivo data.

Indexed as

AnimalsCells, CulturedChemical and Drug Induced Liver InjuryDose-Response Relationship, DrugDown-RegulationGene ExpressionGene Expression ProfilingHepatocytesLiverMaleOligonucleotide Array Sequence AnalysisRatsRats, WistarToxicity TestsToxicogeneticsUp-RegulationBatch effect correctionBioinformaticsCultivated hepatocytesHepatotoxicityRanking analysisRat liver

Identifiers

PMID30511339
OpenAlexW2903179781

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.