Evidence map›Paper›PMID 40804139›Full record

ArticleThe AAPS journal2025

Optimization of In Vitro CYP3A4 TDI Assay Conditions and Use of Derived Parameters for Clinical DDI Risk Assessment Using Static and Dynamic Models.

Alessandra Pugliano, Aynur Ekiciler, Lena Preiss, Neil John Parrott, Pieter Annaert, Kenichi Umehara

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Article in The AAPS journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alessandra PuglianoRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland. alessandra.pugliano@roche.com.ORCID 0009-0001-2143-6706
Aynur EkicilerRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland.
Lena PreissRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland.ORCID 0009-0007-6517-1985
Neil John ParrottRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland.ORCID 0000-0001-6821-7714
Pieter AnnaertDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, ON2 Herestraat 49, 3000, Louvain, Belgium.ORCID 0000-0003-3525-7351
Kenichi UmeharaRoche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Grenzacherstrasse 124, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland.ORCID 0000-0001-7891-3430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytochrome P450 3A4 (CYP3A4) is a key target for time-dependent inhibition (TDI) assessment during drug development. However, translating in vitro TDI data to in vivo drug-drug interaction (DDI) risk remains challenging due to the acknowledged overestimation when incorporating in vitro kinetics in predictive models. We investigated different in vitro TDI assay conditions in human liver microsomes (HLM) and evaluated their impact on the predictive accuracy for CYP3A4-related DDI for 32 marketed drugs. Considering assay sensitivity and in vivo DDI prediction accuracy with mechanistic static modeling (MSM), optimal incubation parameters were identified as: a pre-incubation time of 40 min for precipitants and 10 min incubation time for CYP3A4 substrate midazolam (10 μM) at 0.1 mg/mL HLM. A tendency to overestimate the DDI magnitude (AFE = 4.83, AAFE = 4.87) was still observed in MSM when using the unbound drug inhibition constant (KI,

Indexed as

Cytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsModels, BiologicalDrug InteractionsHumansMicrosomes, LiverMidazolamRisk AssessmentCYP3A4 protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsMidazolamCYP3A4drug-drug interactionsmechanistic static modelingphysiologically-based pharmacokinetic modelingtime-dependent inhibition

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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.