Evidence map›Paper›PMID 27599706›Full record

ArticleClinical pharmacokinetics2017

Physiologically Based Pharmacokinetic Modeling to Predict Drug-Drug Interactions with Efavirenz Involving Simultaneous Inducing and Inhibitory Effects on Cytochromes.

Catia Marzolini, Rajith Rajoli, Manuel Battegay, Luigia Elzi, David Back, Marco Siccardi

Abstract read
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Article in Clinical pharmacokinetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-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

11 citing papers in PubMed, 25 citations in OpenAlex.

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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 3 countries.

Catia MarzoliniDivision of Infectious Diseases and Hospital Epidemiology, Department of Medicine, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland. catia.marzolini@usb.ch.ORCID 0000-0002-2312-7050
Rajith RajoliDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Manuel BattegayDivision of Infectious Diseases and Hospital Epidemiology, Department of Medicine, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
Luigia ElziDivision of Infectious Diseases, Regional Hospital Bellinzona, Bellinzona, Switzerland.
David BackDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
Marco SiccardiDepartment of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
University of Liverpool · GBUniversity Hospital of Basel · CHOspedale Regionale di Bellinzona e Valli · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntiretroviral drugs are among the therapeutic agents with the highest potential for drug-drug interactions (DDIs). In the absence of clinical data, DDIs are mainly predicted based on preclinical data and knowledge of the disposition of individual drugs. Predictions can be challenging, especially when antiretroviral drugs induce and inhibit multiple cytochrome P450 (CYP) isoenzymes simultaneously.

methodsThis study predicted the magnitude of the DDI between efavirenz, an inducer of CYP3A4 and inhibitor of CYP2C8, and dual CYP3A4/CYP2C8 substrates (repaglinide, montelukast, pioglitazone, paclitaxel) using a physiologically based pharmacokinetic (PBPK) modeling approach integrating concurrent effects on CYPs. In vitro data describing the physicochemical properties, absorption, distribution, metabolism, and elimination of efavirenz and CYP3A4/CYP2C8 substrates as well as the CYP-inducing and -inhibitory potential of efavirenz were obtained from published literature. The data were integrated in a PBPK model developed using mathematical descriptions of molecular, physiological, and anatomical processes defining pharmacokinetics. Plasma drug-concentration profiles were simulated at steady state in virtual individuals for each drug given alone or in combination with efavirenz. The simulated pharmacokinetic parameters of drugs given alone were compared against existing clinical data. The effect of efavirenz on CYP was compared with published DDI data.

resultsThe predictions indicate that the overall effect of efavirenz on dual CYP3A4/CYP2C8 substrates is induction of metabolism. The magnitude of induction tends to be less pronounced for dual CYP3A4/CYP2C8 substrates with predominant CYP2C8 metabolism.

conclusionPBPK modeling constitutes a useful mechanistic approach for the quantitative prediction of DDI involving simultaneous inducing or inhibitory effects on multiple CYPs as often encountered with antiretroviral drugs.

Indexed as

Models, BiologicalAdolescentAdultAlkynesBenzoxazinesCyclopropanesCytochrome P-450 CYP2C8Cytochrome P-450 CYP2C8 InducersCytochrome P-450 CYP2C8 InhibitorsCytochrome P-450 CYP3ACytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsDose-Response Relationship, DrugDrug InteractionsFemaleForecastingAlkynesBenzoxazinesCyclopropanesCytochrome P-450 CYP2C8Cytochrome P-450 CYP2C8 InducersCytochrome P-450 CYP2C8 InhibitorsCytochrome P-450 CYP3ACytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A Inhibitorsefavirenz

Identifiers

PMID27599706
OpenAlexW2515956151

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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.