Evidence map›Paper›PMID 40991845›Full record

Trial reportCPT: pharmacometrics & systems pharmacology2025

A Population Pharmacokinetic Approach to Understand the Effect of Efavirenz on CYP3A Activity in Healthy Volunteers Using Midazolam as a Probe.

Kimberly S Collins, Blessed W Aruldhas, Ingrid F Metzger, Jessica B L Lu, Michael A Heathman, Sara K Quinney, Zeruesenay Desta

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Kimberly S CollinsDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0002-4978-4593
Blessed W AruldhasDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0002-2082-6454
Ingrid F MetzgerDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0002-0096-3953
Jessica B L LuDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Michael A HeathmanDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0001-8150-3782
Sara K QuinneyDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0002-6554-0695
Zeruesenay DestaDivision of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0009-0001-1513-1295

Funding

Indiana University Comprehensive Training in Clinical PharmacologyT32GM008425 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Zeruesenay Desta, Michael Thomas Eadon · 1992 to 2026
$7.7M
CYP2B6 Genetic Variations and Drug InteractionsR01GM078501 · NIGMS · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DESTA, ZERUESENAY · 2007 to 2015
$3.2M
Genomic and drug-drug interaction mechanisms of interindividual variability in drug dispositionR35GM145383 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Zeruesenay Desta · 2022 to 2026
$2.0M
National Institute of Health/National Institute of General Medical Sciences R35GM145383National Institute of Health/National Institute of General Medical Sciences RO1GM078501National Institute of Health/National Institute of General Medical Sciences T32GM008425NIGMS NIH HHS R01 GM078501NIGMS NIH HHS R35 GM145383NIGMS NIH HHS T32 GM008425
6 · The paper itself

Abstract

Efavirenz induces and inhibits multiple drug-metabolizing enzymes, contributing to significant drug-drug interactions. This study quantified the impact of multiple doses of efavirenz on CYP3A activity via midazolam metabolism using a population pharmacokinetic approach. Healthy volunteers received 1 mg midazolam orally in two sessions: first with a single 600 mg efavirenz dose and then after chronic efavirenz dosing (600 mg/day for 17 days). Midazolam and 1'-hydroxymidazolam were quantified via LC-MS/MS, and CYP2B6, CYP3A4, and CYP3A5 genotypes were assessed using TaqMan assays. Seventy-two volunteers (n = 72) completed sampling after the initial dose, and 58 completed both occasions. Non-linear mixed effects modeling was performed using the stochastic approximation expectation maximization estimation method in NONMEM. The base pharmacokinetic model employed was a two-compartment model with first-order absorption and first-order elimination, incorporating proportional error terms for midazolam and 1'-hydroxymidazolam. Covariate analysis utilized a full model approach to assess the impact of CYP3A4 and CYP3A5 genotypes, self-reported sex, and multiple doses of efavirenz as covariates affecting the formation clearance of 1-OH midazolam. CYP3A5 expressors exhibited a 1.27-fold increase in midazolam clearance compared to non-expressors, while CYP3A4 intermediate metabolizers showed a 0.94-fold decrease relative to normal metabolizers. Clearance was also 1.30-fold higher in females compared to males. Multiple doses of efavirenz increased midazolam clearance by 1.92-fold (95% CI 1.65-2.28) after accounting for inter-individual variability caused by other covariates. Furthermore, K

Indexed as

BenzoxazinesCytochrome P-450 CYP3AMidazolamAdultAlkynesCyclopropanesDrug InteractionsFemaleGenotypeHealthy VolunteersHumansMaleMiddle AgedModels, BiologicalYoung Adult1-hydroxymethylmidazolamAlkynesBenzoxazinesCyclopropanesCYP3A4 protein, humanCYP3A5 protein, humanCytochrome P-450 CYP3AefavirenzMidazolam

Identifiers

PMID40991845
PMCPMC12706424

What OpenQuestion holds

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Registered trials

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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.