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Yadav J, Maldonato BJ, Roesner JM, Vergara AG, Paragas EM, Aliwarga T, Humphreys S. Enzyme-mediated drug-drug interactions: a review of in vivo and in vitro methodologies, regulatory guidance, and translation to the clinic. Drug Metab Rev 2024:1-33. [PMID: 39057923 DOI: 10.1080/03602532.2024.2381021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024]
Abstract
Enzyme-mediated pharmacokinetic drug-drug interactions can be caused by altered activity of drug metabolizing enzymes in the presence of a perpetrator drug, mostly via inhibition or induction. We identified a gap in the literature for a state-of-the art detailed overview assessing this type of DDI risk in the context of drug development. This manuscript discusses in vitro and in vivo methodologies employed during the drug discovery and development process to predict clinical enzyme-mediated DDIs, including the determination of clearance pathways, metabolic enzyme contribution, and the mechanisms and kinetics of enzyme inhibition and induction. We discuss regulatory guidance and highlight the utility of in silico physiologically-based pharmacokinetic modeling, an approach that continues to gain application and traction in support of regulatory filings. Looking to the future, we consider DDI risk assessment for targeted protein degraders, an emerging small molecule modality, which does not have recommended guidelines for DDI evaluation. Our goal in writing this report was to provide early-career researchers with a comprehensive view of the enzyme-mediated pharmacokinetic DDI landscape to aid their drug development efforts.
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Affiliation(s)
- Jaydeep Yadav
- Department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB), Merck & Co., Inc., Boston, MA, USA
| | - Benjamin J Maldonato
- Department of Nonclinical Development and Clinical Pharmacology, Revolution Medicines, Inc., Redwood City, CA, USA
| | - Joseph M Roesner
- Department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB), Merck & Co., Inc., Boston, MA, USA
| | - Ana G Vergara
- Department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB), Merck & Co., Inc., Rahway, NJ, USA
| | - Erickson M Paragas
- Pharmacokinetics and Drug Metabolism Department, Amgen Research, South San Francisco, CA, USA
| | - Theresa Aliwarga
- Pharmacokinetics and Drug Metabolism Department, Amgen Research, South San Francisco, CA, USA
| | - Sara Humphreys
- Pharmacokinetics and Drug Metabolism Department, Amgen Research, South San Francisco, CA, USA
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Kabir M, Padilha EC, Shah P, Huang R, Sakamuru S, Gonzalez E, Ye L, Hu X, Henderson MJ, Xia M, Xu X. Identification of Selective CYP3A7 and CYP3A4 Substrates and Inhibitors Using a High-Throughput Screening Platform. Front Pharmacol 2022; 13:899536. [PMID: 35847040 PMCID: PMC9283723 DOI: 10.3389/fphar.2022.899536] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/27/2022] [Indexed: 11/26/2022] Open
Abstract
Cytochrome P450 (CYP) 3A7 is one of the major xenobiotic metabolizing enzymes in human embryonic, fetal, and newborn liver. CYP3A7 expression has also been observed in a subset of the adult population, including pregnant women, as well as in various cancer patients. The characterization of CYP3A7 is not as extensive as other CYPs, and health authorities have yet to provide guidance towards DDI assessment. To identify potential CYP3A7-specific molecules, we used a P450-Glo CYP3A7 enzyme assay to screen a library of ∼5,000 compounds, including FDA-approved drugs and drug-like molecules, and compared these screening data with that from a P450-Glo CYP3A4 assay. Additionally, a subset of 1,000 randomly selected compounds were tested in a metabolic stability assay. By combining the data from the qHTS P450-Glo and metabolic stability assays, we identified several chemical features important for CYP3A7 selectivity. Halometasone was chosen for further evaluation as a potential CYP3A7-selective inhibitor using molecular docking. From the metabolic stability assay, we identified twenty-two CYP3A7-selective substrates over CYP3A4 in supersome setting. Our data shows that CYP3A7 has ligand promiscuity, much like CYP3A4. Furthermore, we have established a large, high-quality dataset that can be used in predictive modeling for future drug metabolism and interaction studies.
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Affiliation(s)
- Md Kabir
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
- Department of Pharmacology, The Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Elias C. Padilha
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
| | - Pranav Shah
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
| | - Ruili Huang
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
| | - Srilatha Sakamuru
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
| | - Eric Gonzalez
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
- Novartis Institutes for BioMedical Research, Cambridge, MA, United States
| | - Lin Ye
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
| | - Xin Hu
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
| | - Mark J. Henderson
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
| | - Menghang Xia
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
- *Correspondence: Menghang Xia, ; Xin Xu,
| | - Xin Xu
- Division of Pre-Clinical Innovation, National Center for Translational Sciences (NCATS), National Institutes of Health (NIH), Rockville, MD, United States
- *Correspondence: Menghang Xia, ; Xin Xu,
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