Evidence map›Paper›PMID 31605674›Full record

ArticleBiochemical pharmacology2019

Comprehensive kinetic and modeling analyses revealed CYP2C9 and 3A4 determine terbinafine metabolic clearance and bioactivation.

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

Open access · hybridAbstract read
In one paragraph

Article in Biochemical pharmacology, 2019. 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
2.1field-weighted citation impact, top 14% 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, 14 citations in OpenAlex.

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  10. XenoNet: Inference and Likelihood of Intermediate Metabolite Formation.Journal of chemical information and modeling · 2020
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  11. 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

6 authors at 3 institutions in 1 country.

Dustyn A BarnetteDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States.
Mary A DavisDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States.
Noah FlynnDepartment of Pathology and Immunology, Washington University, St. Louis, MO 63130, United States.
Anirudh S PiduguDepartment of Chemistry, Emory University, Atlanta, GA 30322, Georgia.
S Joshua SwamidassDepartment of Pathology and Immunology, Washington University, St. Louis, MO 63130, United States.
Grover P MillerDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, United States. Electronic address: MillerGroverP@uams.edu.
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

Terbinafine N-dealkylation pathways result in formation of 6,6-dimethyl-2-hepten-4-ynal (TBF-A), a reactive allylic aldehyde, that may initiate idiosyncratic drug-induced liver toxicity. Previously, we reported on the importance of CYP2C19 and 3A4 as major contributors to TBF-A formation. In this study, we expanded on those efforts to assess individual contributions of CYP1A2, 2B6, 2C8, 2C9, and 2D6 in terbinafine metabolism. The combined knowledge gained from these studies allowed us to scale the relative roles of the P450 isozymes in hepatic clearance of terbinafine including pathways leading to TBF-A, and hence, provide a foundation for assessing their significance in terbinafine-induced hepatotoxicity. We used in vitro terbinafine reactions with recombinant P450s to measure kinetics for multiple metabolic pathways and calculated contributions of all individual P450 isozymes to in vivo hepatic clearance for the average human adult. The findings confirmed that CYP3A4 was a major contributor (at least 30% total metabolism) to all three of the possible N-dealkylation pathways; however, CYP2C9, and not CYP2C19, played a critical role in terbinafine metabolism and even exceeded CYP3A4 contributions for terbinafine N-demethylation. A combination of their metabolic capacities accounted for at least 80% of the conversion of terbinafine to TBF-A, while CYP1A2, 2B6, 2C8, and 2D6 made minor contributions. Computational approaches provide a more rapid, less resource-intensive strategy for assessing metabolism, and thus, we additionally predicted terbinafine metabolism using deep neural network models for individual P450 isozymes. Cytochrome P450 isozyme models accurately predicted the likelihood for terbinafine N-demethylation, but overestimated the likelihood for a minor N-denaphthylation pathway. Moreover, the models were not able to differentiate the varying roles of the individual P450 isozymes for specific reactions with this particular drug. Taken together, the significance of CYP2C9 and 3A4 and to a lesser extent, CYP2C19, in terbinafine metabolism is consistent with reported drug interactions. This finding suggests that variations in individual P450 contributions due to other factors like polymorphisms may similarly contribute to terbinafine-related adverse health outcomes. Nevertheless, the impact of their metabolic capacities on formation of reactive TBF-A and consequent idiosyncratic hepatotoxicity will be mitigated by competing detoxification pathways, TBF-A decay, and TBF-A adduction to glutathione that remain understudied.

Indexed as

Cytochrome P-450 CYP2C9Cytochrome P-450 CYP3ADose-Response Relationship, DrugHumansMetabolic Clearance RateMicrosomes, LiverTerbinafineCYP2C9 protein, humanCYP3A4 protein, humanCytochrome P-450 CYP2C9Cytochrome P-450 CYP3ATerbinafineBioactivationLiver toxicityModelReactivityTBF-ATerbinafine

Identifiers

PMID31605674
PMCPMC6905088
OpenAlexW2980068845

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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.