Evidence map›Paper›PMID 18647303›Full record

ArticleBritish journal of clinical pharmacology2008

Maraviroc: in vitro assessment of drug-drug interaction potential.

Ruth Hyland, Maurice Dickins, Claire Collins, Hannah Jones, Barry Jones

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in British journal of clinical pharmacology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
11.2field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Interactions between alcohol and the HIV entry inhibitor Maraviroc.Journal of the International Association of Providers of AIDS Care
    Trial
  6. Review
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Maraviroc: a review of its use in HIV infection and beyond.Drug design, development and therapy · 2015
    Review
  16. Review
  17. Article
  18. Review
  19. CYP3A5 genotype impacts maraviroc concentrations in healthy volunteers.Drug metabolism and disposition: the biological fate of chemicals · 2014
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Ruth HylandPharmacokinetics, Dynamics and Metabolism, Pfizer Global Research and Development, Sandwich, UK. ruth.hyland@pfizer.com
Maurice Dickins
Claire Collins
Hannah Jones
Barry Jones
Pfizer (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo characterize the cytochrome P450 enzyme(s) responsible for the N-dealkylation of maraviroc in vitro, and predict the extent of clinical drug-drug interactions (DDIs).

methodsHuman liver and recombinant CYP microsomes were used to identify the CYP enzyme responsible for maraviroc N-dealkylation. Studies comprised enzyme kinetics and evaluation of the effects of specific CYP inhibitors. In vitro data were then used as inputs for simulation of DDIs with ketoconazole, ritonavir, saquinavir and atazanvir, using the Simcyptrade mark population-based absorption, distribution, metabolism and elimination (ADME) simulator. Study designs for simulations mirrored those actually used in the clinic.

resultsMaraviroc was metabolized to its N-dealkylated product via a single CYP enzyme characterized by a K(m) of 21 microM and V(max) of 0.45 pmol pmol(-1) min(-1) in human liver microsomes and was inhibited by ketoconazole (CYP3A4 inhibitor). In a panel of recombinant CYP enzymes, CYP3A4 was identified as the major CYP responsible for maraviroc metabolism. Using recombinant CYP3A4, N-dealkylation was characterized by a K(m) of 13 microM and a V(max) of 3 pmol pmol(-1) CYP min(-1). Simulations therefore focused on the effect of CYP3A4 inhibitors on maraviroc pharmacokinetics. The simulated median AUC ratios were in good agreement with observed clinical changes (within twofold in all cases), although, in general, there was a trend for overprediction in the magnitude of the DDI.

conclusionMaraviroc is a substrate for CYP3A4, and exposure will therefore be modulated by CYP3A4 inhibitors. Simcyptrade mark has successfully simulated the extent of clinical interactions with CYP3A4 inhibitors, further validating this software as a good predictor of CYP-based DDIs.

Indexed as

Area Under CurveAtazanavir SulfateCyclohexanesCytochrome P-450 CYP3ADrug InteractionsHIV-1HIV InfectionsHIV Protease InhibitorsHumansKetoconazoleLiverMaleMaravirocMicrosomes, LiverOligopeptidesPredictive Value of TestsAtazanavir SulfateCyclohexanesCYP3A4 protein, humanCytochrome P-450 CYP3AHIV Protease InhibitorsKetoconazoleMaravirocOligopeptidesPyridinesRitonavirSaquinavirTriazoles

Identifiers

PMID18647303
PMCPMC2561101
OpenAlexW2063228933

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.