Evidence map›Paper›PMID 37616385›Full record

ArticleJournal of chemical information and modeling2023

Collaborative SAR Modeling and Prospective In Vitro Validation of Oxidative Stress Activation in Human HepG2 Cells.

Olivier J M Béquignon, Jose C Gómez-Tamayo, Eelke B Lenselink, Steven Wink, Steven Hiemstra, Chi Chung Lam, Domenico Gadaleta, Alessandra Roncaglioni, Ulf Norinder, Bob van de Water and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

12 authors at 4 institutions in 4 countries.

Olivier J M BéquignonLeiden Academic Centre for Drug Research, Leiden University, Wassenaarseweg 76, 2333 AL Leiden, The Netherlands.ORCID 0000-0002-7554-9220
Jose C Gómez-TamayoResearch Programme on Biomedical Informatics (GRIB), Department of Medicine and Life Sciences, Hospital del Mar Medical Research Institute, Universitat Pompeu Fabra, Carrer del Dr. Aiguader 88, 08002 Barcelona, Spain.
Eelke B LenselinkLeiden Academic Centre for Drug Research, Leiden University, Wassenaarseweg 76, 2333 AL Leiden, The Netherlands.ORCID 0000-0001-5459-2978
Steven WinkLeiden Academic Centre for Drug Research, Leiden University, Wassenaarseweg 76, 2333 AL Leiden, The Netherlands.
Steven HiemstraLeiden Academic Centre for Drug Research, Leiden University, Wassenaarseweg 76, 2333 AL Leiden, The Netherlands.
Chi Chung LamLeiden Academic Centre for Drug Research, Leiden University, Wassenaarseweg 76, 2333 AL Leiden, The Netherlands.
Domenico GadaletaLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, IRCCS─Istituto di Ricerche Farmacologiche Mario Negri, Via la Masa 19, 20156 Milano, Italy.ORCID 0000-0002-3154-5930
Alessandra RoncaglioniLaboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, IRCCS─Istituto di Ricerche Farmacologiche Mario Negri, Via la Masa 19, 20156 Milano, Italy.
Ulf NorinderMTM Research Centre, School of Science and Technology, Örebro University, SE-70182 Örebro, Sweden.
Bob van de WaterLeiden Academic Centre for Drug Research, Leiden University, Wassenaarseweg 76, 2333 AL Leiden, The Netherlands.ORCID 0000-0002-5839-2380
Manuel PastorResearch Programme on Biomedical Informatics (GRIB), Department of Medicine and Life Sciences, Hospital del Mar Medical Research Institute, Universitat Pompeu Fabra, Carrer del Dr. Aiguader 88, 08002 Barcelona, Spain.ORCID 0000-0001-8850-1341
Gerard J P van WestenLeiden Academic Centre for Drug Research, Leiden University, Wassenaarseweg 76, 2333 AL Leiden, The Netherlands.ORCID 0000-0003-0717-1817
Leiden University · NLMario Negri Institute for Pharmacological Research · ITUniversitat Pompeu Fabra · ESÖrebro University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress is the consequence of an abnormal increase of reactive oxygen species (ROS). ROS are generated mainly during the metabolism in both normal and pathological conditions as well as from exposure to xenobiotics. Xenobiotics can, on the one hand, disrupt molecular machinery involved in redox processes and, on the other hand, reduce the effectiveness of the antioxidant activity. Such dysregulation may lead to oxidative damage when combined with oxidative stress overpassing the cell capacity to detoxify ROS. In this work, a green fluorescent protein (GFP)-tagged nuclear factor erythroid 2-related factor 2 (NRF2)-regulated sulfiredoxin reporter (Srxn1-GFP) was used to measure the antioxidant response of HepG2 cells to a large series of drug and drug-like compounds (2230 compounds). These compounds were then classified as positive or negative depending on cellular response and distributed among different modeling groups to establish structure-activity relationship (SAR) models. A selection of models was used to prospectively predict oxidative stress induced by a new set of compounds subsequently experimentally tested to validate the model predictions. Altogether, this exercise exemplifies the different challenges of developing SAR models of a phenotypic cellular readout, model combination, chemical space selection, and results interpretation.

Indexed as

Oxidative StressXenobioticsHep G2 CellsHumansProspective StudiesReactive Oxygen SpeciesStructure-Activity RelationshipReactive Oxygen SpeciesXenobiotics

Identifiers

PMID37616385
PMCPMC10498489
OpenAlexW4386127194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.