Evidence map›Paper›PMID 26396153›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2015

Quantification of Low-Level Drug Effects Using Real-Time, in vitro Measurement of Oxygen Consumption Rate.

Adam Neal, Austin M Rountree, Craig W Philips, Terrance J Kavanagh, Dominic P Williams, Peter Newham, Gamal Khalil, Daniel L Cook, Ian R Sweet

Abstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The TGFβ1 Receptor Antagonist GW788388 Reduces JNK Activation and Protects Against Acetaminophen Hepatotoxicity in Mice.Toxicological sciences : an official journal of the Society of Toxicology · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. 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

9 authors.

Adam Neal*Department of Medicine, University of Washington, Seattle, Washington, 98195;
Austin M Rountree*Department of Medicine, University of Washington, Seattle, Washington, 98195;
Craig W PhilipsCenter for Commercialization, University of Washington, Seattle, Washington 98195;
Terrance J KavanaghDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98105;
Dominic P WilliamsDepartment of Drug Safety and Metabolism, AstraZeneca, Cambridge Science Park, Milton Road, Milton, Cambridge CB4 0FZ, UK; and.
Peter NewhamDepartment of Drug Safety and Metabolism, AstraZeneca, Cambridge Science Park, Milton Road, Milton, Cambridge CB4 0FZ, UK; and.
Gamal KhalilEnTox Sciences, LLC, Mercer Island, Washington 98040.
Daniel L CookEnTox Sciences, LLC, Mercer Island, Washington 98040.
Ian R Sweet*Department of Medicine, University of Washington, Seattle, Washington, 98195; EnTox Sciences, LLC, Mercer Island, Washington 98040. isweet@u.washington.edu.

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
Continuous measurement of cell growth as an optimal tool in drug toxicity testing (Supplement)R41TR001196 · NCATS · ENTOX SCIENCES, LLC · PI COOK, DANIEL L · 2015 to 2016
$274k
NCATS NIH HHS R41 TR001196NIDDK NIH HHS DK17047NIDDK NIH HHS P30 DK017047
6 · The paper itself

Abstract

There is a general need to detect toxic effects of drugs during preclinical screening. We propose that increased sensitivity of xenobiotics toxicity combined with improved in vitro physiological recapitulation will more accurately assess potentially toxic perturbations of cellular biochemistry that are near in vivo pharmacological exposure levels. Importantly, measurement of such cytopathologies avoids activating mechanisms mediating toxicity at suprapharmacologic levels not relevant to in vivo effects. We present a sensitive method to measure changes in oxygen consumption rate (OCR), a well-established parameter reflecting a potential hazard, in response to exposure to pharmacologic levels of drugs using a flow culture system and state of the art oxygen sensing system. We tested metformin and acetaminophen on rat liver slices to illustrate the method. The features of the method include continuous and very stable measurement of OCR over the course of 48 h in liver slices in a continuous flow chamber with the ability to resolve changes as small as 0.3%/h. Kinetic modeling of metformin inhibition of OCR over a wide range of concentrations revealed both a slow and fast mechanism, where the fast mechanism activated only at concentrations above 0.6 mM. For both drugs, small amounts of inhibition were reversible, but higher decrements were irreversible. Overall the study highlights the advantages of measuring low-level toxicity so as to avoid the common extrapolations made about drug toxicity based on effects of drugs tested at suprapharmacologic levels.

Indexed as

Models, BiologicalAcetaminophenAnimalsChemical and Drug Induced Liver InjuryDose-Response Relationship, DrugIn Vitro TechniquesKineticsLiverMetforminOxygen ConsumptionRats, Sprague-DawleyRecovery of FunctionRisk AssessmentToxicity TestsAcetaminophenMetforminacetaminophendrug toxicityliver slicesmathematical modelingmetforminoxygen consumption rate

Identifiers

PMID26396153
PMCPMC4830255

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.