Evidence map›Paper›PMID 35768066›Full record

ReviewChemical research in toxicology2022

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Barbara M A van Vugt-Lussenburg, Liliana Capinha, Jelle Reinen, Martijn Rooseboom, Michel Kranendonk, Rob C A Onderwater, Paul Jennings

Abstract readReview
In one paragraph

Review in Chemical research in toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Mass Spectrometry Imaging for Spatial Toxicology Research.Journal of mass spectrometry : JMS · 2024
    Review
  11. Article
  12. Article
  13. Review
  14. Article
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

7 authors.

Barbara M A van Vugt-LussenburgBioDetection Systems B.V., Science Park 406, 1098 XH Amsterdam, The Netherlands.
Liliana CapinhaDivision of Computational and Molecular Toxicology, Department of Chemistry and Pharmaceutical Sciences, Amsterdam Institute of Molecular and Life Sciences (AIMMs), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.
Jelle ReinenCharles River Den Bosch, Hambakenwetering 7, 5203 DL Hertogenbosch, The Netherlands.
Martijn RooseboomShell Global Solutions International B.V., 1030 BN The Hague, The Netherlands.
Michel KranendonkCenter for Toxicogenomics and Human Health (ToxOmics), NOVA Medical School/Faculty of Medical Sciences, Universidade NOVA de Lisboa, Campo dos Mártires da Pátria 130, 1169-056 Lisboa, Portugal.
Rob C A OnderwaterMateria Nova ASBL, Avenue du Champ de Mars 6, 7000 Mons, Belgium.
Paul JenningsDivision of Computational and Molecular Toxicology, Department of Chemistry and Pharmaceutical Sciences, Amsterdam Institute of Molecular and Life Sciences (AIMMs), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands.ORCID 0000-0002-6860-2898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The understanding of how exogenous chemicals (xenobiotics) are metabolized, distributed, and eliminated is critical to determine the impact of the chemical and its metabolites to the (human) organism. This is part of the research and educational discipline ADMET (absorption, distribution, metabolism, elimination, and toxicity). Here, we review the work of Jan Commandeur and colleagues who have not only made a significant impact in understanding of phase I and phase II metabolism of several important compounds but also contributed greatly to the development of experimental techniques for the study of xenobiotic metabolism. Jan Commandeur's work has covered a broad area of research, such as the development of online screening methodologies, the use of a combination of enzyme mutagenesis and molecular modeling for structure-activity relationship (SAR) studies, and the development of novel probe substrates. This work is the bedrock of current activities and brings the field closer to personalized (cohort-based) pharmacology, toxicology, and hazard/risk assessment.

Indexed as

XenobioticsHumansInactivation, MetabolicXenobiotics

Identifiers

PMID35768066
PMCPMC9297329

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.