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Tan BH, Ahemad N, Pan Y, Ong CE. Mechanism-based Inactivation of Cytochromes P450: Implications in Drug Interactions and Pharmacotherapy. Xenobiotica 2024:1-38. [PMID: 39175333 DOI: 10.1080/00498254.2024.2395557] [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: 06/15/2024] [Revised: 08/17/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
Cytochrome P40 (CYP) enzymes dominate the metabolism of numerous endogenous and xenobiotic substances. While it is commonly believed that CYP-catalyzed reactions result in the detoxication of foreign substances, these reactions can also yield reactive intermediates that can bind to cellular macromolecules to cause cytotoxicity or irreversibly inactivate CYPs that create them.Mechanism-based inactivation (MBI) produces either irreversible or quasi-irreversible inactivation and is commonly caused by CYP metabolic bioactivation to an electrophilic reactive intermediate. Many drugs that have been known to cause MBI in CYPs have been discovered as perpetrators in drug-drug interactions throughout the last 20-30 years.This review will highlight the key findings from the recent literature about the mechanisms of CYP enzyme inhibition, with a focus on the broad mechanistic elements of MBI for widely used drugs linked to the phenomenon. There will also be a brief discussion of the clinical or pharmacokinetic consequences of CYP inactivation with regard to drug interaction and toxicity risk.Gaining knowledge about the selective inactivation of CYPs by common therapeutic drugs helps with the assessment of factors that affect the systemic clearance of co-administered drugs and improves comprehension of anticipated interactions with other drugs or xenobiotics.
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Affiliation(s)
- Boon Hooi Tan
- Division of Applied Biomedical Sciences and Biotechnology, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia
| | - Nafees Ahemad
- School of Pharmacy, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia
| | - Yan Pan
- Department of Biomedical Science, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia
| | - Chin Eng Ong
- School of Pharmacy, International Medical University, Bukit Jalil, Kuala Lumpur, Malaysia
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Xia X, Cai X, Chen J, Jiang S, Zhang J. Construction of warfarin population pharmacokinetics and pharmacodynamics model in Han population based on Bayesian method. Sci Rep 2024; 14:14846. [PMID: 38937509 PMCID: PMC11211351 DOI: 10.1038/s41598-024-65048-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 06/17/2024] [Indexed: 06/29/2024] Open
Abstract
The purpose of this paper is to study the genetic polymorphisms of related gene loci (CYP2C9*3, VKORC1-1639G > A) based on demographic and clinical factors, and use the maximum a posterior Bayesian method to construct a warfarin individualized dose prediction model in line with the Chinese Han population. Finally, the built model is compared and analyzed with the widely used models at home and abroad. In this study, a total of 5467 INR measurements are collected from 646 eligible subjects in our hospital, and the maximum a posterior Bayesian method is used to construct a warfarin dose prediction that conforms to the Chinese Han population on the basis of the Hamberg model. The model is verified and compared with foreign models. This study finds that body weight and concomitant use of amiodarone have a significant effect on the anticoagulant effect of warfarin. The model can provide an effective basis for individualized and rational dosing of warfarin in Han population more accurately. In the performance of comparison with different warfarin dose prediction models, the new model has the highest prediction accuracy, and the prediction percentage is as high as 72.56%. The dose predicted by the Huang model is the closest to the actual dose of warfarin. The population pharmacokinetics and pharmacodynamics model established in this study can better reflect the distribution characteristics of INR values after warfarin administration in the Han population, and performs better than the models reported in the literature.
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Affiliation(s)
- Xiaotong Xia
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, #18 Daoshan Road, Fuzhou, 350001, China
| | - Xiaofang Cai
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, #18 Daoshan Road, Fuzhou, 350001, China
| | - Jiana Chen
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, #18 Daoshan Road, Fuzhou, 350001, China
| | - Shaojun Jiang
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, #18 Daoshan Road, Fuzhou, 350001, China
| | - Jinhua Zhang
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, #18 Daoshan Road, Fuzhou, 350001, China.
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Salem M, El-Bardissy A, Elshafei MN, Khalil A, Mahmoud H, Fahmi AM, Kasem M, Bader L, Sherbash M, Elawady MI, Abdalazim W, Howady F, Elewa H. Warfarin-Rifampin-Gene (WARIF-G) Interaction: A Retrospective, Genetic, Case-Control Study. Clin Pharmacol Ther 2023; 113:1150-1159. [PMID: 36789833 DOI: 10.1002/cpt.2871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/05/2023] [Indexed: 02/16/2023]
Abstract
Warfarin is extensively metabolized by cytochrome P450 2C9 (CYP2C9). Concomitant use with the potent CYP2C9 inducer, rifampin, requires close monitoring and dosage adjustments. Although, in theory, warfarin dose increase should overcome this interaction, most reported cases over the last 50 years have not responded even to high warfarin doses, but some have responded to modest doses. To investigate the genetic polymorphisms' impact on this unexplained interpatient variability, we performed genotyping of CYP2C9, VKORC1, and CYP4F2 for warfarin and rifampin concomitant receivers from 2016 to 2022 at Hamad Medical Corporation, Doha, Qatar. We identified and included 36 patients: 22 responders and 14 nonresponders. Warfarin-responders were significantly more likely to have one or more warfarin-sensitizing CYP2C9/VKORC1 alleles than nonresponders (odds ratio = 23.2, 95% confidence interval = 3.2-195.6; P = 0.0001). The mean genetic-based pre-interaction calculated dose was significantly lower for responders than for nonresponders (P < 0.001); and was negatively correlated with warfarin sensitivity index (WSI) (r = -0.58; P = 0.0002). The median percentage time in therapeutic range and mean WSI were significantly higher in the warfarin-sensitizing CYP2C9/VKORC1 alleles carriers than noncarriers (P = 0.017 and 0.0004, respectively). Whereas the warfarin-sensitizing CYP2C9/VKORC1 genotypes were associated with modest on-rifampin warfarin dose requirements, the noncarriers would have required more than double these doses to respond. Warfarin-sensitizing CYP2C9/VKORC1 genotypes and low genetic-based warfarin calculated doses were associated with higher warfarin sensitivity and better anticoagulation quality in patients receiving rifampin concomitantly.
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Affiliation(s)
- Muhammad Salem
- Clinical Pharmacy Department, Hamad Medical Corporation, Doha, Qatar
| | - Ahmed El-Bardissy
- Clinical Pharmacy Department, Hamad Medical Corporation, Doha, Qatar
| | | | - Ahmed Khalil
- Clinical Pharmacy Department, Hamad Medical Corporation, Doha, Qatar
| | - Hesham Mahmoud
- Clinical Pharmacy Department, Hamad Medical Corporation, Doha, Qatar
| | - Amr Mohamed Fahmi
- Clinical Pharmacy Department, Hamad Medical Corporation, Doha, Qatar.,College of Pharmacy, QU Health, Qatar University, Doha, Qatar
| | - Mohamed Kasem
- Clinical Pharmacy Department, Hamad Medical Corporation, Doha, Qatar
| | - Loulia Bader
- College of Pharmacy, QU Health, Qatar University, Doha, Qatar
| | - Mohamed Sherbash
- Clinical Pharmacy Department, Hamad Medical Corporation, Doha, Qatar.,College of Pharmacy, QU Health, Qatar University, Doha, Qatar
| | | | - Walaa Abdalazim
- Infectious Diseases Department, Hamad Medical Corporation, Doha, Qatar
| | - Faraj Howady
- Infectious Diseases Department, Hamad Medical Corporation, Doha, Qatar
| | - Hazem Elewa
- College of Pharmacy, QU Health, Qatar University, Doha, Qatar.,Biomedical and Pharmaceutical Research Unit, QU Health, Qatar University, Doha, Qatar
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