Evidence map›Paper›PMID 29502165›Full record

ArticleArchives of toxicology2018

Dynamic imaging of adaptive stress response pathway activation for prediction of drug induced liver injury.

Steven Wink, Steven W Hiemstra, Suzanne Huppelschoten, Janna E Klip, Bob van de Water

Abstract read
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. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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

35 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A computational framework to in silico screen for drug-induced hepatocellular toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  12. Antipsychotic Drug Aripiprazole Protects Liver Cells from Oxidative Stress.International journal of molecular sciences · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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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

5 authors.

Steven WinkDivision of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
Steven W HiemstraDivision of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
Suzanne HuppelschotenDivision of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
Janna E KlipDivision of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
Bob van de WaterDivision of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC, Leiden, The Netherlands. b.water@lacdr.leidenuniv.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury remains a concern during drug treatment and development. There is an urgent need for improved mechanistic understanding and prediction of DILI liabilities using in vitro approaches. We have established and characterized a panel of liver cell models containing mechanism-based fluorescent protein toxicity pathway reporters to quantitatively assess the dynamics of cellular stress response pathway activation at the single cell level using automated live cell imaging. We have systematically evaluated the application of four key adaptive stress pathway reporters for the prediction of DILI liability: SRXN1-GFP (oxidative stress), CHOP-GFP (ER stress/UPR response), p21 (p53-mediated DNA damage-related response) and ICAM1 (NF-κB-mediated inflammatory signaling). 118 FDA-labeled drugs in five human exposure relevant concentrations were evaluated for reporter activation using live cell confocal imaging. Quantitative data analysis revealed activation of single or multiple reporters by most drugs in a concentration and time dependent manner. Hierarchical clustering of time course dynamics and refined single cell analysis allowed the allusion of key events in DILI liability. Concentration response modeling was performed to calculate benchmark concentrations (BMCs). Extracted temporal dynamic parameters and BMCs were used to assess the predictive power of sub-lethal adaptive stress pathway activation. Although cellular adaptive responses were activated by non-DILI and severe-DILI compounds alike, dynamic behavior and lower BMCs of pathway activation were sufficiently distinct between these compound classes. The high-level detailed temporal- and concentration-dependent evaluation of the dynamics of adaptive stress pathway activation adds to the overall understanding and prediction of drug-induced liver liabilities.

Indexed as

Models, BiologicalChemical and Drug Induced Liver InjuryCyclin-Dependent Kinase Inhibitor p21Dose-Response Relationship, DrugGenes, ReporterGreen Fluorescent ProteinsHep G2 CellsHumansIntercellular Adhesion Molecule-1Oxidoreductases Acting on Sulfur Group DonorsSingle-Cell AnalysisStress, PhysiologicalSupport Vector MachineTranscription Factor CHOPCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21DDIT3 protein, humanGreen Fluorescent ProteinsICAM1 protein, humanIntercellular Adhesion Molecule-1Oxidoreductases Acting on Sulfur Group DonorsSRXN1 protein, humanTranscription Factor CHOPAdaptive stress pathwaysDILIDILI predictionHigh content imagingLive cell imaging

Identifiers

PMID29502165
PMCPMC5962642

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LicenceCC BY
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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.