Evidence map›Paper›PMID 22010218›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2012

Prediction of relative in vivo metabolite exposure from in vitro data using two model drugs: dextromethorphan and omeprazole.

Justin D Lutz, Nina Isoherranen

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2012. 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
2.4field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
  2. Role of metabolites in drug-drug interactions.Drug metabolism and pharmacokinetics · 2026
    Review
  3. Article
  4. ACS omega · 2024
    Article
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  15. Inhibition of CYP2C19 and CYP3A4 by omeprazole metabolites and their contribution to drug-drug interactions.Drug metabolism and disposition: the biological fate of chemicals · 2013
    Article
  16. Article
  17. Hepatic Cyp2d and Cyp26a1 mRNAs and activities are increased during mouse pregnancy.Drug metabolism and disposition: the biological fate of chemicals · 2013
    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

2 authors at 1 institution in 1 country.

Justin D LutzSchool of Pharmacy, Department of Pharmaceutics, University of Washington, Seattle, WA 98195-7610, USA.
Nina Isoherranen
University of Washington · US

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-GM32165-02
6 · The paper itself

Abstract

Metabolites can have pharmacological or toxicological effects, inhibit metabolic enzymes, and be used as probes of drug-drug interactions or specific cytochrome P450 (P450) phenotypes. Thus, better understanding and prediction methods are needed to characterize metabolite exposures in vivo. This study aimed to test whether in vitro data could be used to predict and rationalize in vivo metabolite exposures using two model drugs and P450 probes: dextromethorphan and omeprazole with their primary metabolites dextrorphan, 5-hydroxyomeprazole (5OH-omeprazole), and omeprazole sulfone. Relative metabolite exposures were predicted using metabolite formation and elimination clearances. For dextrorphan, the formation clearances of dextrorphan glucuronide and 3-hydroxymorphinan from dextrorphan in human liver microsomes were used to predict metabolite (dextrorphan) clearance. For 5OH-omeprazole and omeprazole sulfone, the depletion rates of the metabolites in human hepatocytes were used to predict metabolite clearance. Dextrorphan/dextromethorphan in vivo metabolite/parent area under the plasma concentration versus time curve ratio (AUC(m)/AUC(p)) was overpredicted by 2.1-fold, whereas 5OH-omeprazole/omeprazole and omeprazole sulfone/omeprazole were predicted within 0.75- and 1.1-fold, respectively. The effect of inhibition or induction of the metabolite's formation and elimination on the AUC(m)/AUC(p) ratio was simulated. The simulations showed that unless metabolite clearance pathways are characterized, interpretation of the metabolic ratios is exceedingly difficult. This study shows that relative in vivo metabolite exposure can be predicted from in vitro data and characterization of secondary metabolism of probe metabolites is critical for interpretation of phenotypic data.

Indexed as

DextromethorphanHumansMicrosomes, LiverOmeprazolePredictive Value of TestsDextromethorphanOmeprazole

Identifiers

PMID22010218
PMCPMC3250047
OpenAlexW2121102924

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.