Evidence map›Paper›PMID 23846872›Full record

Trial reportDrug metabolism and disposition: the biological fate of chemicals2013

CYP2B6 pharmacogenetics-based in vitro-in vivo extrapolation of efavirenz clearance by physiologically based pharmacokinetic modeling.

Cong Xu, Sara K Quinney, Yingying Guo, Stephen D Hall, Lang Li, Zeruesenay Desta

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug metabolism and disposition: the biological fate of chemicals, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
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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

6 authors at 3 institutions in 1 country.

Cong XuDivision of Clinical Pharmacology (C.X., Z.D.), Department of Obstetrics and Gynecology (S.K.Q.) and Center for Computational Biology and Bioinformatics (L.L.), Indiana University School of Medicine, Indianapolis, Indiana; and Department of Drug Disposition, Lilly Research Laboratories, Eli Lilly and Co., Indianapolis, Indiana (Y.G., S.D.H.).
Sara K Quinney
Yingying Guo
Stephen D Hall
Lang Li
Zeruesenay Desta
Indiana University School of MedicineEli Lilly (United States) · USIndiana University – Purdue University Indianapolis · US

Funding

Clinical Importance of Drug-Drug InteractionsR01AG025152 · NIA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN, LI, LANG · 2006 to 2021
$8.1M
CYP2B6 Genetic Variations and Drug InteractionsR01GM078501 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DESTA, ZERUESENAY · 2007 to 2015
$3.2M
Bayesian Tools for PBPK Models in Drug Onteraction Res.R01GM074217 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI LI, LANG · 2005 to 2009
$1.3M
Prediction of Drug-Drug InteractionsR56GM067308 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DESTA, ZERUESENAY · 2007 to 2007
$303k
NIA NIH HHS R01 AG025152NIGMS NIH HHS 2R56GM067308-09A1NIGMS NIH HHS GM078501NIGMS NIH HHS GM078501-04S1NIGMS NIH HHS R01 GM074217NIGMS NIH HHS R01 GM078501NIGMS NIH HHS R56 GM067308
6 · The paper itself

Abstract

Efavirenz is mainly cleared by CYP2B6. The CYP2B6*6 allele is associated with lower efavirenz clearance. Efavirenz clearance was predictable using in vitro data for carriers of the CYP2B6*1/*1 genotype, but the prediction in carriers of the CYP2B6*6 allele was poor. To test the hypothesis that incorporation of mechanism of reduced efavirenz metabolism by the CYP2B6*6 allele can predict the genetic effect on efavirenz pharmacokinetics, in vitro-in vivo extrapolation of efavirenz clearance was performed by physiologically based pharmacokinetic modeling (Simcyp Simulator; Simcyp Ltd., Sheffield, UK) using data obtained from expressed CYP2B6.1 and CYP2B6.6 as well as human liver microsomes (HLMs) with CYP2B6*1/*1, *1/*6, and *6/*6 genotypes. Simulated pharmacokinetics of a single 600-mg oral dose of efavirenz for individuals with each genotype was compared with data observed in healthy subjects genotyped for the CYP2B6*6 allele (n = 20). Efavirenz clearance for carriers of the CYP2B6*1/*1 genotype was predicted reasonably well using HLM data, but the clearance in carriers of the CYP2B6*6 allele was underpredicted using both expressed and HLM systems. Improved prediction of efavirenz clearance was obtained from expressed CYP2B6 after recalculating intersystem extrapolation factors for CYP2B6.1 and CYP2B6.6 based on in vitro intrinsic clearance of bupropion 4-hydroxylation. These findings suggest that genetic effect on both CYP2B6 protein expression and catalytic efficiency needs to be taken into account for the prediction of pharmacokinetics in individuals carrying the CYP2B6*6/*6 genotype. Expressed CYP2B6 proteins may be a reliable in vitro system to predict effect of the CYP2B6*6 allele on the metabolism of CYP2B6 substrates.

Indexed as

AlkynesAllelesAryl Hydrocarbon HydroxylasesBenzoxazinesCross-Over StudiesCyclopropanesCytochrome P-450 CYP2B6FemaleGenotypeHumansMaleMetabolic Clearance RateMicrosomes, LiverModels, BiologicalPharmacogeneticsAlkynesAryl Hydrocarbon HydroxylasesBenzoxazinesCyclopropanesCYP2B6 protein, humanCytochrome P-450 CYP2B6efavirenz

Identifiers

PMID23846872
PMCPMC3834132
OpenAlexW2152619047

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.