Evidence map›Paper›PMID 30925039›Full record

ArticleChemical research in toxicology2019

CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches.

Mary A Davis, Dustyn A Barnette, Noah R Flynn, Anirudh S Pidugu, S Joshua Swamidass, Gunnar Boysen, Grover P Miller

Open access · greenAbstract read
In one paragraph

Article in Chemical research in toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Message Passing Neural Networks Improve Prediction of Metabolite Authenticity.Journal of chemical information and modeling · 2023
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  6. XenoNet: Inference and Likelihood of Intermediate Metabolite Formation.Journal of chemical information and modeling · 2020
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  7. Feasibility of the use of3 Biotech · 2020
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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

7 authors at 3 institutions in 1 country.

Mary A DavisDepartment of Biochemistry and Molecular Biology , University of Arkansas for Medical Sciences , Little Rock , Arkansas 72205 , United States.ORCID 0000-0003-3594-6835
Dustyn A BarnetteDepartment of Biochemistry and Molecular Biology , University of Arkansas for Medical Sciences , Little Rock , Arkansas 72205 , United States.
Noah R FlynnDepartment of Pathology and Immunology , Washington University , St. Louis , Missouri 63130 , United States.
Anirudh S PiduguDepartment of Neuroscience and Behavioral Biology , Emory University , Atlanta , Georgia 30322 , United States.
S Joshua SwamidassDepartment of Pathology and Immunology , Washington University , St. Louis , Missouri 63130 , United States.ORCID 0000-0003-2191-0778
Gunnar BoysenDepartment of Environmental and Occupational Health , University of Arkansas for Medical Sciences , Little Rock , Arkansas 72205 , United States.ORCID 0000-0001-8364-9881
Grover P MillerDepartment of Biochemistry and Molecular Biology , University of Arkansas for Medical Sciences , Little Rock , Arkansas 72205 , United States.ORCID 0000-0002-4743-8187
University of Arkansas for Medical Sciences · USWashington University in St. Louis · USEmory University · US

Funding

HIGH PERFORMANCE BIOMEDICAL IMAGING COMPUTER RESOURCESS10RR022984 · NCRR · WASHINGTON UNIVERSITY · PI PRIOR, FRED WILLIAM · 2009 to 2009
$1.9M
DATA AND TOOLS FOR MODELING METABOLISM AND REACTIVITYR01LM012222 · NLM · WASHINGTON UNIVERSITY · PI MILLER, GROVER P, SWAMIDASS, SANJAY JOSHUA · 2016 to 2019
$1.5M
Systems Pharmacology and Toxicology Training ProgramT32GM106999 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI PRATHER, PAUL L · 2013 to 2022
$1.4M
Computationally modeling the impact of ontogeny on drug metabolic fateR01LM012482 · NLM · UNIV OF ARKANSAS FOR MED SCIS · PI MILLER, GROVER P, SWAMIDASS, SANJAY JOSHUA · 2016 to 2019
$1.3M
GPU COMPUTING RESOURCE TO ENABLE INNOVATION IN IMAGING AND NETWORK BIOLOGYS10OD018091 · OD · WASHINGTON UNIVERSITY · PI PAPPU, ROHIT V, PRIOR, FRED WILLIAM · 2014 to 2014
$598k
NCRR NIH HHS S10 RR022984NIGMS NIH HHS T32 GM106999NIH HHS S10 OD018091NLM NIH HHS R01 LM012222NLM NIH HHS R01 LM012482
6 · The paper itself

Abstract

Lamisil (terbinafine) is an effective, widely prescribed antifungal drug that causes rare idiosyncratic hepatotoxicity. The proposed toxic mechanism involves a reactive metabolite, 6,6-dimethyl-2-hepten-4-ynal (TBF-A), formed through three N-dealkylation pathways. We were the first to characterize them using in vitro studies with human liver microsomes and modeling approaches, yet knowledge of the individual enzymes catalyzing reactions remained unknown. Herein, we employed experimental and computational tools to assess terbinafine metabolism by specific cytochrome P450 isozymes. In vitro inhibitor phenotyping studies revealed six isozymes were involved in one or more N-dealkylation pathways. CYP2C19 and 3A4 contributed to all pathways, and so, we targeted them for steady-state analyses with recombinant isozymes. N-Dealkylation yielding TBF-A directly was catalyzed by CYP2C19 and 3A4 similarly. Nevertheless, CYP2C19 was more efficient than CYP3A4 at N-demethylation and other steps leading to TBF-A. Unlike microsomal reactions, N-denaphthylation was surprisingly efficient for CYP2C19 and 3A4, which was validated by controls. CYP2C19 was the most efficient among all reactions. Nonetheless, CYP3A4 was more selective at steps leading to TBF-A, making it more effective in terbinafine bioactivation based on metabolic split ratios for competing pathways. Model predictions did not extrapolate to quantitative kinetic constants, yet some results for CYP3A4 and CYP2C19 agreed qualitatively with preferred reaction steps and pathways. Clinical data on drug interactions support the CYP3A4 role in terbinafine metabolism, while CYP2C19 remains understudied. Taken together, knowledge of P450s responsible for terbinafine metabolism and TBF-A formation provides a foundation for investigating and mitigating the impact of P450 variations in toxic risks posed to patients.

Indexed as

BiocatalysisCytochrome P-450 CYP2C19Cytochrome P-450 CYP3AEnzyme InhibitorsHumansKineticsModels, MolecularMolecular StructureTerbinafineCYP2C19 protein, humanCYP3A4 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP3AEnzyme InhibitorsTerbinafine

Identifiers

PMID30925039
PMCPMC6692898
OpenAlexW2927673429

What OpenQuestion holds

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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.