Evidence map›Paper›PMID 20557268›Full record

ReviewExpert opinion on drug metabolism & toxicology2010

Rationalization and prediction of in vivo metabolite exposures: the role of metabolite kinetics, clearance predictions and in vitro parameters.

Justin D Lutz, Yasushi Fujioka, Nina Isoherranen

Abstract readReview
In one paragraph

Review in Expert opinion on drug metabolism & toxicology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Role of metabolites in drug-drug interactions.Drug metabolism and pharmacokinetics · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
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  12. Article
  13. The effect of cannabidiol on the pharmacokinetics of carbamazepine in rats.Naunyn-Schmiedeberg's archives of pharmacology · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. 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

3 authors.

Justin D LutzDepartment of Pharmaceutics, University of Washington, School of Pharmacy, H272 Health Science Building, Box 357610, Seattle, WA 98195-7610, USA.
Yasushi Fujioka
Nina Isoherranen

Funding

TOXIC DRUG INTERACTIONS WITH VALPROIC ACIDP01GM032165 · NIGMS · UNIVERSITY OF WASHINGTON · PI KUNZE, KENT L · 1985 to 2012
$18.3M
NIGMS NIH HHS P01 GM032165NIGMS NIH HHS P01 GM32165
6 · The paper itself

Abstract

importance of the fieldDue to growing concerns over toxic or active metabolites, significant efforts have been focused on qualitative identification of potential in vivo metabolites from in vitro data. However, limited tools are available to quantitatively predict their human exposures. AREAS COVERED IN THIS REVIEW: Theory of clearance predictions and metabolite kinetics is reviewed together with supporting experimental data. In vitro and in vivo data of known circulating metabolites and their parent drugs were collected and the predictions of in vivo exposures of the metabolites were evaluated. WHAT THE READER WILL GAIN: The theory and data reviewed will be useful in early identification of human metabolites that will circulate at significant levels in vivo and help in designing in vivo studies that focus on characterization of metabolites. It will also assist in rationalization of metabolite-to-parent ratios used as markers of specific enzyme activity. TAKE HOME MESSAGE: The relative importance of a metabolite in comparison to the parent compound as well as other metabolites in vivo can only be predicted using the metabolite's in vitro formation and elimination clearances, and the in vivo disposition of a metabolite can only be rationalized when the elimination pathways of that metabolite are known.

Indexed as

Drug EvaluationEnzyme ActivationHumansMicrosomes, LiverPharmaceutical PreparationsPharmacokineticsPharmaceutical Preparations

Identifiers

PMID20557268
PMCPMC2923241

What OpenQuestion holds

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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.