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den Uil MG, Hut HW, Wagelaar KR, Abdullah-Koolmees H, Cahn W, Wilting I, Deneer VHM. Pharmacogenetics and phenoconversion: the influence on side effects experienced by psychiatric patients. Front Genet 2023; 14:1249164. [PMID: 37693320 PMCID: PMC10486269 DOI: 10.3389/fgene.2023.1249164] [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: 06/28/2023] [Accepted: 08/04/2023] [Indexed: 09/12/2023] Open
Abstract
Introduction: Preventing side effects is important to ensure optimal psychopharmacotherapy and therapeutic adherence among psychiatric patients. Obtaining the pharmacogenetic profile of CYP2C19 and CYP2D6 can play an important role in this. When the genotype-predicted phenotype shifts because of the use of co-medication, this is called phenoconversion. The aim was to study the influence of the pharmacogenetic (PGx) profile and phenoconversion on side effects experienced by psychiatric patients. Methods: A retrospective cohort study was performed using data from 117 patients from a psychiatric outpatient clinic. Patients were genotyped with a psychiatric PGx panel and side effects were evaluated using the Udvalg for Kliniske Undersølgelser side effects rating scale (UKU). Results: Of all patients, 10.3% and 9.4% underwent phenoconversion (any shift in predicted phenotype) for CYP2C19 and CYP2D6 respectively. No significant associations were found between the phenotype and UKU-score. 75% of the patients with an Intermediate metabolizer (IM) or Poor metabolizer (PM) phenoconverted phenotype of CYP2C19 experienced nausea and vomiting compared to 9.1% of the Normal metabolizer (NM) and Ultrarapid metabolizer (UM) patients (p = 0.033). 64% of the patients with an IM or PM phenoconverted phenotype of CYP2D6 experienced the side effect depression compared to 30.4% NMs and UMs (p = 0.020). CYP2D6 IM and PM patients had a higher concentration-dose ratio than NM patients (p < 0.05). Discussion: This study underlines the importance to consider phenoconversion when looking at a patient's genotype. This is important for a better prediction of the phenotype and preventing possible side effects under a specific psychopharmacotherapy.
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Affiliation(s)
- Manon G. den Uil
- Division Laboratories, Pharmacy and Biomedical Genetics, Clinical Pharmacy, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Hannelotte W. Hut
- Division Laboratories, Pharmacy and Biomedical Genetics, Clinical Pharmacy, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Kay R. Wagelaar
- Division Laboratories, Pharmacy and Biomedical Genetics, Clinical Pharmacy, University Medical Centre Utrecht, Utrecht, Netherlands
- Department of Clinical Pharmacy, Medisch Spectrum Twente, Enschede, Netherlands
| | - Heshu Abdullah-Koolmees
- Pharmacy and Clinical Pharmacology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ingeborg Wilting
- Division Laboratories, Pharmacy and Biomedical Genetics, Clinical Pharmacy, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Vera H. M. Deneer
- Division Laboratories, Pharmacy and Biomedical Genetics, Clinical Pharmacy, University Medical Centre Utrecht, Utrecht, Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
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Radosavljevic M, Svob Strac D, Jancic J, Samardzic J. The Role of Pharmacogenetics in Personalizing the Antidepressant and Anxiolytic Therapy. Genes (Basel) 2023; 14:genes14051095. [PMID: 37239455 DOI: 10.3390/genes14051095] [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: 04/17/2023] [Revised: 05/12/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023] Open
Abstract
Pharmacotherapy for neuropsychiatric disorders, such as anxiety and depression, has been characterized by significant inter-individual variability in drug response and the development of side effects. Pharmacogenetics, as a key part of personalized medicine, aims to optimize therapy according to a patient's individual genetic signature by targeting genetic variations involved in pharmacokinetic or pharmacodynamic processes. Pharmacokinetic variability refers to variations in a drug's absorption, distribution, metabolism, and elimination, whereas pharmacodynamic variability results from variable interactions of an active drug with its target molecules. Pharmacogenetic research on depression and anxiety has focused on genetic polymorphisms affecting metabolizing cytochrome P450 (CYP) and uridine 5'-diphospho-glucuronosyltransferase (UGT) enzymes, P-glycoprotein ATP-binding cassette (ABC) transporters, and monoamine and γ-aminobutyric acid (GABA) metabolic enzymes, transporters, and receptors. Recent pharmacogenetic studies have revealed that more efficient and safer treatments with antidepressants and anxiolytics could be achieved through genotype-guided decisions. However, because pharmacogenetics cannot explain all observed heritable variations in drug response, an emerging field of pharmacoepigenetics investigates how epigenetic mechanisms, which modify gene expression without altering the genetic code, might influence individual responses to drugs. By understanding the epi(genetic) variability of a patient's response to pharmacotherapy, clinicians could select more effective drugs while minimizing the likelihood of adverse reactions and therefore improve the quality of treatment.
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Affiliation(s)
- Milica Radosavljevic
- Institute of Pharmacology, Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Dubravka Svob Strac
- Laboratory for Molecular Neuropsychiatry, Division of Molecular Medicine, Rudjer Boskovic Institute, 10000 Zagreb, Croatia
| | - Jasna Jancic
- Clinic of Neurology and Psychiatry for Children and Youth, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Janko Samardzic
- Institute of Pharmacology, Clinical Pharmacology and Toxicology, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
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Ho TT, Noble M, Tran BA, Sunjic K, Gupta SV, Turgeon J, Crutchley RD. Clinical Impact of the CYP2C19 Gene on Diazepam for the Management of Alcohol Withdrawal Syndrome. J Pers Med 2023; 13:jpm13020285. [PMID: 36836519 PMCID: PMC9961427 DOI: 10.3390/jpm13020285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
Diazepam is a benzodiazepine widely prescribed for the management of patients with severe alcohol withdrawal syndrome to prevent agitation, withdrawal seizures, and delirium tremens. Despite standard dosing of diazepam, a subset of patients experience refractory withdrawal syndromes or adverse drug reactions, such as impaired motor coordination, dizziness, and slurred speech. The CYP2C19 and CYP3A4 enzymes play a key role in the biotransformation of diazepam. Given the highly polymorphic nature of the CYP2C19 gene, we reviewed the clinical impact of variants in the CYP2C19 gene on both the pharmacokinetics of diazepam and treatment outcomes related to the management of alcohol withdrawal syndrome.
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Affiliation(s)
- Teresa T. Ho
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
- Correspondence:
| | - Melissa Noble
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Bao Anh Tran
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Katlynd Sunjic
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Sheeba Varghese Gupta
- Department of Pharmaceutical Sciences, University of South Florida College of Pharmacy, Tampa, FL 33612, USA
| | - Jacques Turgeon
- Precision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Moorestown, NJ 08057, USA
| | - Rustin D. Crutchley
- Department of Pharmacotherapy, Washington State University, College of Pharmacy and Pharmaceutical Sciences, Yakima, WA 98901, USA
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Skryabin VY, Zastrozhin M, Torrado M, Grishina E, Ryzhikova K, Shipitsyn V, Galaktionova T, Sorokin A, Bryun E, Sychev D. Effects of CYP2C19*17 Genetic Polymorphisms on the Steady-State Concentration of Diazepam in Patients With Alcohol Withdrawal Syndrome. Hosp Pharm 2021; 56:592-596. [PMID: 34720165 DOI: 10.1177/0018578720931756] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Diazepam is one of the most widely prescribed tranquilizers for the therapy of alcohol withdrawal syndrome (AWS), which includes the symptoms of anxiety, fear, and emotional tension. However, diazepam therapy often turns out to be ineffective, and some patients experience dose-dependent adverse drug reactions, reducing the efficacy of therapy. Aim: The purpose of our study was to investigate the effects of CYP2C19*17 genetic polymorphisms on the steady-state concentration of diazepam in patients with AWS. Materials and Methods: The study was conducted on 50 Russian male patients suffering from the AWS. For the therapy of psychomotor agitation, anxiety, fear, and emotional tension, patients received diazepam in injections at a dosage of 30.0 mg/day for 5 days. Genotyping was performed by real-time polymerase chain reaction. The efficacy and safety assessment was performed using psychometric scales and scales for assessing the severity of adverse drug reactions. Therapeutic drug monitoring (TDM) was performed using the high-performance liquid chromatography-mass spectrometry (HPLC-MS/MS) method. Results: Based on the results of the study, we revealed the differences in the efficacy of therapy in patients with different CYP2C19 -806C>T genotypes: (*1/*1) -12.0 [-15.0; -8.0], (*1/*17+*17/*17) -7.0 [-14.0; -5.0], P < .001, as well as the results of TDM: (CC) 250.70 [213.34; 308.53] ng/mL (*1/*17+*17/*17) 89.12 [53.26; 178.07] ng/mL, P < .001. Conclusion: Thus, our study enrolling 50 patients with AWS, showed the effects of CYP2C19*17 genetic polymorphisms on the efficacy and safety rates of diazepam. Furthermore, we revealed the statistically significant difference in the levels of plasma steady-state concentrations of diazepam in patients carrying different genotypes.
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Affiliation(s)
| | - Mikhail Zastrozhin
- Moscow Department of Healthcare, Moscow, Russia.,Ministry of Health of the Russian Federation, Moscow, Russia
| | | | - Elena Grishina
- Ministry of Health of the Russian Federation, Moscow, Russia
| | | | | | | | | | - Evgeny Bryun
- Moscow Department of Healthcare, Moscow, Russia.,Ministry of Health of the Russian Federation, Moscow, Russia
| | - Dmitry Sychev
- Ministry of Health of the Russian Federation, Moscow, Russia
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A Physiologically Based Pharmacokinetic Model for Predicting Diazepam Pharmacokinetics after Intravenous, Oral, Intranasal, and Rectal Applications. Pharmaceutics 2021; 13:pharmaceutics13091480. [PMID: 34575556 PMCID: PMC8465253 DOI: 10.3390/pharmaceutics13091480] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/07/2021] [Accepted: 09/13/2021] [Indexed: 12/17/2022] Open
Abstract
Diazepam is one of the most prescribed anxiolytic and anticonvulsant that is administered through intravenous (IV), oral, intramuscular, intranasal, and rectal routes. To facilitate the clinical use of diazepam, there is a need to develop formulations that are convenient to administer in ambulatory settings. The present study aimed to develop and evaluate a physiologically based pharmacokinetic (PBPK) model for diazepam that is capable of predicting its pharmacokinetics (PK) after IV, oral, intranasal, and rectal applications using a whole-body population-based PBPK simulator, Simcyp®. The model evaluation was carried out using visual predictive checks, observed/predicted ratios (Robs/pred), and the average fold error (AFE) of PK parameters. The Diazepam PBPK model successfully predicted diazepam PK in an adult population after doses were administered through IV, oral, intranasal, and rectal routes, as the Robs/pred of all PK parameters were within a two-fold error range. The developed model can be used for the development and optimization of novel diazepam dosage forms, and it can be extended to simulate drug response in situations where no clinical data are available (healthy and disease).
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Effects of CYP2C19 genetic polymorphism on the steady-state concentration of citalopram in patients with major depressive disorder. THE PHARMACOGENOMICS JOURNAL 2021; 21:435-439. [PMID: 33608663 DOI: 10.1038/s41397-021-00219-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 01/12/2021] [Accepted: 01/27/2021] [Indexed: 01/31/2023]
Abstract
Citalopram is commonly prescribed to patients suffering from major depressive disorder. Some of them do not respond adequately to therapy with citalopram, while many of them experience type A adverse drug reactions. Current research revealed that CYP2C19 isoenzyme is involved in the biotransformation of citalopram. The objective of our study was to investigate the impact of 681G>A polymorphism of the CYP2C19 gene on the efficacy, safety and the concentration/dose indicator of citalopram. Our study enrolled 130 patients with major depressive disorder and comorbid alcohol use disorder (average age-38.7 ± 14.1 years). Therapy regimen included citalopram in an average daily dose of 31.1 ± 14.4 mg per week. Therapy efficacy and safety were evaluated using the international psychometric scales. For genotyping, we performed the real-time polymerase chain reaction. Our findings revealed the statistically significant results in terms of the treatment efficacy evaluation (HAMD scores at the end of the treatment course): (GG) 8.0 [8.0; 9.0] and (GA) 10.0 [9.0; 11.0], p < 0.001. In the safety profile (the UKU scores), the statistical significance was also obtained: (GG) 3.0 [3.0; 4.0] and (GA) 5.0 [4.0; 5.0], p < 0.001. We revealed a statistical significance for concentration/dose indicator of citalopram in patients with different genotypes: (GG) 2.543 [1.659; 4.239] and (GA) 4.196 [2.643; 5.753], p < 0.001). The effect of CYP2C19 genetic polymorphism on the efficacy and safety profiles of citalopram was demonstrated in a group of 130 patients with major depressive disorder.
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