Evidence map›Paper›PMID 23307233›Full record

ArticleEuropean journal of clinical pharmacology2013

Application of in vitro-in vivo extrapolation (IVIVE) and physiologically based pharmacokinetic (PBPK) modelling to investigate the impact of the CYP2C8 polymorphism on rosiglitazone exposure.

Karen Rowland Yeo, Jane R Kenny, Amin Rostami-Hodjegan

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In one paragraph

Article in European journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Investigation of the Impact ofPharmaceuticals (Basel, Switzerland) · 2021
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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 at 1 institution in 1 country.

Karen Rowland YeoSimcyp Limited, Blades Enterprise Centre, John Street, Sheffield, S2 4SU, UK. k.r.yeo@simcyp.com
Jane R Kenny
Amin Rostami-Hodjegan
Simcyp (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo predict the impact of the CYP2C8 3 genotype on rosiglitazone exposure in the absence and presence of trimethoprim.

methodsPrior in vitro and in vivo information for rosiglitazone and trimethoprim were collated from the literature. Specifically, data on the frequency of the different allelic forms of CYP2C8 and their metabolic activity for rosiglitazone were incorporated into a physiologically-based pharmacokinetic (PBPK) model within the Simcyp Simulator (V11.1) to predict differences in the relative exposure of rosiglitazone according to CYP2C8 3 genotype in a virtual population.

resultsFollowing multiple doses of 8 mg rosiglitazone, the predicted mean AUC(0-24) was 37 % lower in CYP2C8 3 homozygotes compared with wildtype homozygotes (p <  0.001), which was consistent with the 36 % lower value observed in vivo (p <  0.001) Kirchheiner et al. (Clin Pharmacol Ther 80:657-667, 2006). Predicted median AUC ratios of rosiglitazone in the presence and absence of trimethoprim ranged from 1.35 to 1.66 for ten virtual trials of subjects with the CYP2C8 1/1 genotype, which included the observed value of 1.42. In subjects with the CYP2C8 1/3 genotype, the predicted AUC ratios for all trials were higher than the observed value of 1.18 Kirchheiner et al. (Clin Pharmacol Ther 80:657-667, 2006).

conclusionsInvestigating the drug interactions in individuals with rare allelic forms of drug metabolising enzymes is fraught with many practical problems. Current study demonstrates the utility of prior in vitro metabolism data from such allelic forms to predict the relative exposure of a drug as a function of genotype. However, in vitro inhibition data obtained in one allelic variant (e.g. CYP2C8 1) may not be adequate to predict the in vivo interactions in another allele (e.g. CYP2C8 3), since the inhibitory characteristics of perpetrator might be different in each allelic variant in the same way as that of metabolism of the victim drug by such variants of the enzyme.

Indexed as

Models, BiologicalPolymorphism, GeneticAdolescentAdultAgedAnalysis of VarianceArea Under CurveAryl Hydrocarbon HydroxylasesChildComputer SimulationCytochrome P-450 CYP2C8Drug InteractionsEnzyme InhibitorsFemaleGene FrequencyGenotypeAryl Hydrocarbon HydroxylasesCYP2C8 protein, humanCytochrome P-450 CYP2C8Enzyme InhibitorsHypoglycemic AgentsRosiglitazoneThiazolidinedionesTrimethoprim

Identifiers

PMID23307233
OpenAlexW2143017526

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.