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Metoprolol and CYP2D6: A Retrospective Cohort Study Evaluating Genotype-Based Outcomes. J Pers Med 2023; 13:jpm13030416. [PMID: 36983598 PMCID: PMC10058912 DOI: 10.3390/jpm13030416] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/15/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
Metoprolol is a medication commonly utilized in select patients to achieve a reduction in heart rate, systolic blood pressure, or other indications. A majority of metoprolol metabolism occurs via CYP2D6. Decreased expression of the CYP2D6 enzyme increases the concentration of metoprolol. Current pharmacogenomics guidelines by the Dutch Pharmacogenomics Working Group recommend slower titrations and dose decreases to minimize adverse effects from poor metabolizers or normal metabolizers taking concomitant medications that are strong inhibitors of CYP2D6 (phenoconverters). This study aimed to evaluate adverse effects such as bradycardia, hypotension, and syncope in patients who are expected to have absent CYP2D6 enzyme activity due to drug–drug or drug–gene interactions. The secondary aims of this study were to evaluate heart rate measurements for the included participants. Retrospective data were collected for individuals with CYP2D6 genotyping results obtained for clinical purposes. Three categories (CYP2D6 normal metabolizers, poor metabolizers, and phenoconverters) were assigned. A total of 325 participants were included. There was no statistically significant difference found in the primary composite outcome between the three metabolizer groups (p = 0.054). However, a statistically significant difference was identified in the incidences of bradycardia between the poor metabolizers and the normal metabolizers or phenoconverters (p < 0.0001). The average heart rates were 2.8 beats per minute (bpm) and 2.6 bpm lower for the poor metabolizer and phenoconverter groups, respectively, compared to the normal metabolizers (p < 0.0001 for both comparisons). This study further supports the role of genetic testing in precision medicine to help individualize patient care as CYP2D6 poor metabolizers taking metoprolol were found to have an increase in bradycardia. Additional research is needed to clarify the dose relationship in this drug–gene interaction.
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Gedde-Dahl A, Spigset O, Molden E. Co-prescription of metoprolol and CYP2D6-inhibiting antidepressants before and after implementation of an optimized drug interaction database in Norway. Eur J Clin Pharmacol 2022; 78:1623-1632. [PMID: 35871665 PMCID: PMC9482580 DOI: 10.1007/s00228-022-03364-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/12/2022] [Indexed: 11/26/2022]
Abstract
Abstract
Purpose
To compare the co-prescription of metoprolol and potent CYP2D6-inhibiting antidepressants before and during a 10-year period after implementation of an optimized drug interaction database into clinical decision support systems in Norway.
Methods
The study was a retrospective, cross-sequential nationwide analysis of drug-dispensing data retrieved from the Norwegian Prescription Database over a 1-year period before (2007) and two 1-year periods after (2012 and 2017) implementation of a drug interaction database providing recommendations on non-interacting alternative medications. Primary outcome was changes in co-prescription rates of metoprolol and the potent CYP2D6-inhibiting antidepressants fluoxetine, paroxetine, or bupropion relative to alternative antidepressants with no or limited CYP2D6 inhibitory potential. To control for potential secular trend bias, a comparison group consisting of atenolol/bisoprolol users was included.
Results
The co-prescription rate of metoprolol with potent CYP2D6 inhibitors declined following implementation of the optimized database, by 21% (P < 0.001) after 5 years and by 40% (P < 0.001) after 10 years. Compared with atenolol/bisoprolol users, patients treated with metoprolol had significantly reduced likelihood of being prescribed a CYP2D6-inhibiting antidepressant in the two post-implementation periods (OR 0.61 (95% CI 0.54–0.69) and OR 0.45 (95% CI 0.40–0.51), respectively, versus OR 0.84 (95% CI 0.74–0.94) prior to implementation). Small and mostly insignificant differences in average daily metoprolol dosage were found between patients treated with the various antidepressants.
Conclusion
The present study suggests that implementation of a drug interaction database providing recommendations on non-interacting drug alternatives contributes to reduced co-prescribing of drug combinations associated with potentially serious adverse effects.
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Affiliation(s)
- Ane Gedde-Dahl
- Faculty of Health Sciences, Oslo Metropolitan University, P.O. Box 4 St. Olavs plass, N-0130, Oslo, Norway.
| | - Olav Spigset
- Department of Clinical Pharmacology, St. Olav's University Hospital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Espen Molden
- Department of Pharmacy, University of Oslo, Oslo, Norway
- Center for Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway
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Zamir A, Hussain I, Ur Rehman A, Ashraf W, Imran I, Saeed H, Majeed A, Alqahtani F, Rasool MF. Clinical Pharmacokinetics of Metoprolol: A Systematic Review. Clin Pharmacokinet 2022; 61:1095-1114. [PMID: 35764772 DOI: 10.1007/s40262-022-01145-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Metoprolol is recommended for therapeutic use in multiple cardiovascular conditions, thyroid crisis, and circumscribed choroidal hemangioma. A detailed systematic review on the metoprolol literature would be beneficial to assess all pharmacokinetic parameters in humans and their respective effects on patients with hepatic, renal, and cardiovascular diseases. This review combines all the pharmacokinetic data on metoprolol from various accessible studies, which may assist in clinical decision making. METHODOLOGY The Google Scholar and PubMed databases were searched to screen articles associated with the clinical pharmacokinetics of metoprolol. The comprehensive literature search retrieved 41 articles including data on plasma concentration-time profiles after intravenous and oral (immediate-release, controlled-release, slow-release, or extended-release) routes of administration, and at least one pharmacokinetic parameter was reported in all studies included. RESULTS Out of 41 retrieved articles, six were after intravenous and 12 were after oral administration in healthy individuals. The oral studies depict a dose-dependent increase in maximum plasma concentration (Cmax), time to reach maximum plasma concentration (Tmax), and area under the concentration-time curve (AUC). Two studies were conducted in R- and S-enantiomers, in which one study reported the gender differences, depicting greater Cmax and AUC among women, whereas in another study S-metoprolol was found to have higher values of Cmax, Tmax, and AUC in comparison with R-metoprolol. Results in different diseases depicted that after IV administration of 20 mg, patients with renal impairment showed an increase in clearance (CL) (60 L/h vs 48 L/h) compared with healthy subjects, whereas a decrease in CL (36.6 ± 7.8 L/h vs 48 ± 6.6 L/h) was seen in patients with hepatic cirrhosis at a similar dose. In comparison with a single oral dose following administration of 15 mg IV in three divided doses, patients having an acute myocardial infarction (AMI) showed an increase in Cmax (823 nmol/L vs 248 nmol/L) at a steady state. Twenty different studies have reported significant changes in CL, Cmax, and AUC of metoprolol when it is co-administered with other drugs. One study has reported a drug-food interaction for metoprolol but no significant changes were seen in the Cmax and AUC. CONCLUSION This review summarizes all the pharmacokinetic parameters of metoprolol after pooling up-to-date data from all the studies available. The summarized pharmacokinetic data presented in this review can assist in developing and evaluating pharmacokinetic models of metoprolol. Moreover, this data can provide practitioners with an insight into dosage adjustments among the diseased populations and can assist in preventing potential adverse drug reactions. This review can also help avoid side effects and drug-drug interactions.
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Affiliation(s)
- Ammara Zamir
- Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Iltaf Hussain
- Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Anees Ur Rehman
- Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Waseem Ashraf
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Imran Imran
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Hamid Saeed
- University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, 54000, Pakistan
| | - Abdul Majeed
- Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Faleh Alqahtani
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Muhammad Fawad Rasool
- Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan.
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Calvi A, Fischetti I, Verzicco I, Belvederi Murri M, Zanetidou S, Volpi R, Coghi P, Tedeschi S, Amore M, Cabassi A. Antidepressant Drugs Effects on Blood Pressure. Front Cardiovasc Med 2021; 8:704281. [PMID: 34414219 PMCID: PMC8370473 DOI: 10.3389/fcvm.2021.704281] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 06/28/2021] [Indexed: 11/16/2022] Open
Abstract
Individuals suffering from depressive disorders display a greater incidence of hypertension compared with the general population, despite reports of the association between depression and hypotension. This phenomenon may depend, at least in part, on the use of antidepressant drugs, which may influence blood pressure through different effects on adrenergic and serotoninergic pathways, as well as on histaminergic, dopaminergic, and cholinergic systems. This review summarizes extant literature on the effect of antidepressant drugs on blood pressure. Selective serotonin reuptake inhibitors are characterized by limited effects on autonomic system activity and a lower impact on blood pressure. Thus, they represent the safest class-particularly among elderly and cardiovascular patients. Serotonin-norepinephrine reuptake inhibitors, particularly venlafaxine, carry a greater risk of hypertension, possibly related to greater effects on the sympathetic nervous system. The norepinephrine reuptake inhibitor reboxetine is considered a safe option because of its neutral effects on blood pressure in long-term studies, even if both hypotensive and hypertensive effects are reported. The dopamine-norepinephrine reuptake inhibitor bupropion can lead to blood pressure increases, usually at high doses, but may also cause orthostatic hypotension, especially in patients with cardiovascular diseases. The norepinephrine-serotonin modulators, mirtazapine and mianserin, have minimal effects on blood pressure but may rarely lead to orthostatic hypotension and falls. These adverse effects are also observed with the serotonin-reuptake modulators, nefazodone and trazodone, but seldomly with vortioxetine and vilazodone. Agomelatine, the only melatonergic antidepressant drug, may also have limited effects on blood pressure. Tricyclic antidepressants have been associated with increases in blood pressure, as well as orthostatic hypotension, particularly imipramine. Oral monoamine-oxidase inhibitors, less frequently skin patch formulations, have been associated with orthostatic hypotension or, conversely, with hypertensive crisis due to ingestion of tyramine-containing food (i.e., cheese reaction). Lastly, a hypertensive crisis may complicate antidepressant treatment as a part of the serotonin syndrome, also including neuromuscular, cognitive, and autonomic dysfunctions. Clinicians treating depressive patients should carefully consider their blood pressure status and cardiovascular comorbidities because of the effects of antidepressant drugs on blood pressure profiles and potential interactions with antihypertensive treatments.
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Affiliation(s)
- Anna Calvi
- Cardiorenal and Hypertension Research Unit, Physiopathology Unit, Clinica Medica Generale e Terapia Medica, Department of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy
| | - Ilaria Fischetti
- Cardiorenal and Hypertension Research Unit, Physiopathology Unit, Clinica Medica Generale e Terapia Medica, Department of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy
| | - Ignazio Verzicco
- Cardiorenal and Hypertension Research Unit, Physiopathology Unit, Clinica Medica Generale e Terapia Medica, Department of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy
| | - Martino Belvederi Murri
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Stamatula Zanetidou
- Research Group on Mental and Physical Health of the Elderly (ARISMA), Bologna, Italy
| | - Riccardo Volpi
- Cardiorenal and Hypertension Research Unit, Physiopathology Unit, Clinica Medica Generale e Terapia Medica, Department of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy
| | - Pietro Coghi
- Cardiorenal and Hypertension Research Unit, Physiopathology Unit, Clinica Medica Generale e Terapia Medica, Department of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy
| | - Stefano Tedeschi
- Cardiorenal and Hypertension Research Unit, Physiopathology Unit, Clinica Medica Generale e Terapia Medica, Department of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy
| | - Mario Amore
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics, and Infant-Maternal Science, Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Ospedale Policlinico San Martino, University of Genoa, Genoa, Italy
| | - Aderville Cabassi
- Cardiorenal and Hypertension Research Unit, Physiopathology Unit, Clinica Medica Generale e Terapia Medica, Department of Medicine and Surgery (DIMEC), University of Parma, Parma, Italy
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Physiologically Based Pharmacokinetic Modeling of Metoprolol Enantiomers and α-Hydroxymetoprolol to Describe CYP2D6 Drug-Gene Interactions. Pharmaceutics 2020; 12:pharmaceutics12121200. [PMID: 33322314 PMCID: PMC7763912 DOI: 10.3390/pharmaceutics12121200] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 12/02/2020] [Accepted: 12/05/2020] [Indexed: 01/13/2023] Open
Abstract
The beta-blocker metoprolol (the sixth most commonly prescribed drug in the USA in 2017) is subject to considerable drug–gene interaction (DGI) effects caused by genetic variations of the CYP2D6 gene. CYP2D6 poor metabolizers (5.7% of US population) show approximately five-fold higher metoprolol exposure compared to CYP2D6 normal metabolizers. This study aimed to develop a whole-body physiologically based pharmacokinetic (PBPK) model to predict CYP2D6 DGIs with metoprolol. The metoprolol (R)- and (S)-enantiomers as well as the active metabolite α-hydroxymetoprolol were implemented as model compounds, employing data of 48 different clinical studies (dosing range 5–200 mg). To mechanistically describe the effect of CYP2D6 polymorphisms, two separate metabolic CYP2D6 pathways (α-hydroxylation and O-demethylation) were incorporated for both metoprolol enantiomers. The good model performance is demonstrated in predicted plasma concentration–time profiles compared to observed data, goodness-of-fit plots, and low geometric mean fold errors of the predicted AUClast (1.27) and Cmax values (1.23) over all studies. For DGI predictions, 18 out of 18 DGI AUClast ratios and 18 out of 18 DGI Cmax ratios were within two-fold of the observed ratios. The newly developed and carefully validated model was applied to calculate dose recommendations for CYP2D6 polymorphic patients and will be freely available in the Open Systems Pharmacology repository.
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Shin J, Hills NK, Finley PR. Combining Antidepressants with β-Blockers: Evidence of a Clinically Significant CYP2D6 Drug Interaction. Pharmacotherapy 2020; 40:507-516. [PMID: 32342526 DOI: 10.1002/phar.2406] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 03/26/2020] [Accepted: 03/30/2020] [Indexed: 11/11/2022]
Abstract
BACKGROUND The β-blockers and antidepressants are two of the most commonly prescribed drug classes in the United States. Several antidepressants are potent inhibitors of cytochrome P450 2D6 liver enzymes (CYP2D6) and can increase the plasma concentrations of certain β-blockers when administered concomitantly, potentially leading to serious medical consequences such as hypotension, bradycardia, and falls. OBJECTIVE The primary objective of this investigation was to determine whether initiating an antidepressant in patients receiving β-blockers increased the risk of hemodynamic adverse events. Our primary outcome was time to hospital admissions or emergency department (ED) visits for an International Classification of Diseases-9 diagnosis suggestive of excessive β-blockade. METHODS We conducted a survival analysis for adults continuously enrolled in the California Medicaid system (Medi-Cal) between 2004 and 2012. Eligible patients were required to be receiving β-blocker medications that are primarily CYP2D6 substrates (e.g., metoprolol, propranolol, or carvedilol). Univariate and multivariable analyses were performed for patients who concurrently received antidepressants with β-blockers. An additional multivariable analysis analyzed the association of this combination upon hospitalizations or ED visits for all causes. RESULTS A total of 21,292 beneficiaries met the inclusion criteria, and 4.3% of patients required hospitalization or ED visits within 30 days of co-medication. In multivariable analysis, patients receiving antidepressants with moderate to strong CYP2D6 inhibitory potential (fluoxetine, paroxetine, duloxetine, or bupropion) had a greater risk for hospitalization or ED visits for hemodynamic events than those initiated on antidepressants with weak CYP2D6 inhibition for 30 days or less when each was compared with patients receiving no antidepressants (hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.03-2.81; p=0.04 vs HR 1.24; 95% CI 0.82-1.88; p=0.30). Other demographic variables associated with increased morbidity included advanced age, male sex, higher β-blocker doses, and African American race or Hispanic ethnicity. CONCLUSIONS Results of this analysis suggest that initiation of certain antidepressants was associated with an increased risk for serious medical sequelae among patients concurrently receiving β-blockers. Greater risk was observed with antidepressants that potently inhibit the CYP2D6 enzyme, implying that increased morbidity may be mediated by a metabolic drug interaction.
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Affiliation(s)
- Jaekyu Shin
- Department of Clinical Pharmacy, University of California, San Francisco, California, USA
| | - Nancy K Hills
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Patrick R Finley
- Department of Clinical Pharmacy, University of California, San Francisco, California, USA
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Huppertz A, Ott C, Bruckner T, Foerster KI, Burhenne J, Weiss J, Zorn M, Haefeli WE, Czock D. Prolonged‐Release Tacrolimus Is Less Susceptible to Interaction With the StrongCYP3A Inhibitor Voriconazole in Healthy Volunteers. Clin Pharmacol Ther 2019; 106:1290-1298. [DOI: 10.1002/cpt.1529] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 05/10/2019] [Indexed: 01/28/2023]
Affiliation(s)
- Andrea Huppertz
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
| | - Christian Ott
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
| | - Thomas Bruckner
- Department of Medical Biometry and InformaticsUniversity of Heidelberg Heidelberg Germany
| | - Kathrin I. Foerster
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
| | - Jürgen Burhenne
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
| | - Johanna Weiss
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
| | - Markus Zorn
- Central LaboratoryUniversity Hospital Heidelberg Heidelberg Germany
| | - Walter E. Haefeli
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
| | - David Czock
- Department of Clinical Pharmacology and PharmacoepidemiologyUniversity of Heidelberg Heidelberg Germany
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Kasper S. Choosing among second-generation antidepressant treatments for depressed patients with cardiac diseases. Int J Psychiatry Clin Pract 2019; 23:134-148. [PMID: 30707042 DOI: 10.1080/13651501.2018.1519080] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objectives: The present paper aimed to assist physicians in the accurate choice among second-generation agents (SGAs) for patients with cardiovascular disease (CVD). Methods: We reviewed the published pharmacokinetic (PK) and pharmacodynamic (PD) clinical data that report potential -or absence of- drug interactions between second-generation agents (SGAs) and CVD drugs most commonly used in cardiology, including antiplatelet drugs and anticoagulants, statins, beta-blockers, angiotensin-converting enzyme inhibitors, calcium channel blockers, diuretics and the antiarrhythmic drugs amiodarone and digoxin. We also reviewed the cardiovascular safety profile that has been published for each class of SGAs and side effects reported by patients with CVD. Results: Most relevant PK/PD data about SGAs and CVD drugs are based on small studies or detailed case reports. In many cases, the drug interactions are at most assessed in healthy volunteers so that the clinical relevance of findings needs further investigation in patients with CVD. Case reports of serious, sometimes fatal reactions due to concomitant administration of certain drugs require careful consideration. The major cardiac side effects of SGAs include HR increase, postural hypotension and slight prolongation of the intraventricular conduction time and QT interval. On normal dosage of antidepressants, both advanced heart block and ventricular arrhythmias could occur in patients with severe heart disease, together with clinically important loss of myocardial contractile force. Conclusions: Data reported in the present review should help physicians about their decision-making processes that govern SGAs use in CVD patients.
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Affiliation(s)
- Siegfried Kasper
- a Department of Psychiatry and Psychotherapy , Medical University of Vienna , Vienna , Austria
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Huang Q, Sheng C, Li Y, Dou Y, Zheng M, Zhu Z, Wang J. A randomized controlled trial on the blood pressure–lowering effect of amlodipine and nifedipine‐GITS in sustained hypertension. J Clin Hypertens (Greenwich) 2019; 21:648-657. [PMID: 30973207 DOI: 10.1111/jch.13543] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 03/02/2019] [Accepted: 03/08/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Qi‐Fang Huang
- Centre for Epidemiological Studies and Clinical Trials, The Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, Department of Hypertension, Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai China
| | - Chang‐Sheng Sheng
- Centre for Epidemiological Studies and Clinical Trials, The Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, Department of Hypertension, Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai China
| | - Yan Li
- Centre for Epidemiological Studies and Clinical Trials, The Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, Department of Hypertension, Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai China
| | - Yu Dou
- Jiangsu Province Hospital for Governmental Employees Nanjing China
| | | | - Zhi‐Ming Zhu
- Chongqing Hypertension Institute, Department of Hypertension and Endocrinology, Daping Hospital The Third Military Medical University Chongqing China
| | - Ji‐Guang Wang
- Centre for Epidemiological Studies and Clinical Trials, The Shanghai Institute of Hypertension, Shanghai Key Laboratory of Hypertension, Department of Hypertension, Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai China
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Chebotareva AD, Levin OS, Markov DD, Sychev DA, Grishina EA. [Is it personalized treatment of dementia based on the CYP2D6 gene polymorphism possible?]. Zh Nevrol Psikhiatr Im S S Korsakova 2018; 118:90-94. [PMID: 30346440 DOI: 10.17116/jnevro201811806290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Treatment of dementia is an urgent problem of modern neurology. Currently, four drugs are recommended to treat dementia, two of which (donepezil and galantamine) are metabolized with participation of the CYP2D6 enzyme. Genetic heterogeneity of CYP2D6 is associated with different enzyme activity, which affects the concentration of its substrates in blood and, accordingly, the clinical effect and the risk of side-effects of drugs. AIM To genotype the single nucleotide polymorphism 1846G>A in the CYP2D6 gene and evaluate its effect on the efficacy and safety of donepezyl in the treatment of Alzheimer's disease (AD). MATERIAL AND METHODS Twenty-one patients with AD were genotyped for the CYP2D6 1846G>A polymorphism, which corresponds to the most common in Caucasians allele CYP2D6*4. An effect of this polymorphism on the efficacy and safety of donepezyl was assessed. RESULTS AND CONCLUSION There was no association between the CYP2D6 genotype and the efficacy of antidementia therapy (OR=0,44, 95% CI -3.0-1,38; p=0,46).
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Affiliation(s)
- A D Chebotareva
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - O S Levin
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - D D Markov
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - D A Sychev
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - E A Grishina
- Russian Medical Academy of Continuous Professional Education, Moscow, Russia
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Bahar MA, Kamp J, Borgsteede SD, Hak E, Wilffert B. The impact of CYP2D6 mediated drug-drug interaction: a systematic review on a combination of metoprolol and paroxetine/fluoxetine. Br J Clin Pharmacol 2018; 84:2704-2715. [PMID: 30248178 PMCID: PMC6255988 DOI: 10.1111/bcp.13741] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 07/24/2018] [Accepted: 07/31/2018] [Indexed: 12/27/2022] Open
Abstract
AIM Metoprolol (a CYP2D6 substrate) is often co-prescribed with paroxetine/fluoxetine (a CYP2D6 inhibitor) because the clinical relevance of this drug-drug interaction (DDI) is still unclear. This review aimed to systematically evaluate the available evidence and quantify the clinical impact of the DDI. METHOD Pubmed, Web of Science, Cochrane Library and Embase were searched for studies reporting on the effect of the DDI among adults published until April 2018. Data on pharmacokinetics, pharmacodynamics and clinical outcomes from experimental, observational and case report studies were retrieved. The protocol of this study was registered in PROSPERO (CRD42018093087). RESULTS We found nine eligible articles that consisted of four experimental and two observational studies as well as three case reports. Experimental studies reported that paroxetine increased the AUC of metoprolol three to five times, and significantly decreased systolic blood pressure and heart rate of patients. Case reports concerned bradycardia and atrioventricular block due to the DDI. Results from observational studies were conflicting. A cohort study indicated that the DDI was significantly associated with the incidence of early discontinuation of metoprolol as an indicator of the emergence of metoprolol-related side effects. In a case-control study, the DDI was not significantly associated with bradycardia. CONCLUSION Despite the contradictory conclusions from the current literature, the majority of studies suggest that the DDI can lead to adverse clinical consequences. Since alternative antidepressants and beta-blockers with comparable efficacy are available, such DDIs can be avoided. Nonetheless, if prescribing the combination is unavoidable, a dose adjustment or close monitoring of the metoprolol-related side effects is necessary.
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Affiliation(s)
- Muh Akbar Bahar
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology & -Economics, University of Groningen, Groningen, the Netherlands.,Faculty of Pharmacy, Hasanuddin University, Makassar, Indonesia
| | - Jasper Kamp
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology & -Economics, University of Groningen, Groningen, the Netherlands.,Dept. of Anaesthesiology, Leids Universitair Medisch Centrum, Leiden, the Netherlands
| | - Sander D Borgsteede
- Dept. of Clinical Decision Support, Health Base Foundation, Houten, the Netherlands
| | - Eelko Hak
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology & -Economics, University of Groningen, Groningen, the Netherlands
| | - Bob Wilffert
- Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology & -Economics, University of Groningen, Groningen, the Netherlands.,Dept. of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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Monte AA, West K, McDaniel KT, Flaten HK, Saben J, Shelton S, Abdelmawla F, Bushman LR, Williamson K, Abbott D, Anderson PL. CYP2D6 Genotype Phenotype Discordance Due to Drug-Drug Interaction. Clin Pharmacol Ther 2018; 104:933-939. [PMID: 29882961 DOI: 10.1002/cpt.1135] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Drug-drug interactions have been demonstrated to alter cytochrome 2D6 (CYP2D6) enzyme phenotype due to inhibitor ingestion, although it is unclear how substrate interactions affect phenotype. This was a pragmatic clinical trial examining the kinetics of a CYP2D6 enzyme probe drug with and without CYP2D6-dependent substrates. Patients were enrolled into an inpatient study unit, and orally administered a 2 mg microdose of dextromethorphan (DM) to probe enzyme activity with and without CYP2D6-dependent drug-drug interactions. Thirty-nine subjects were enrolled in this trial. Twelve subjects were on no CYP2D6-dependent drugs and 27 were on one or more CYP2D6-dependent drugs. There were 1 poor metabolizer, 5 intermediate metabolizers, 31 normal metabolizers, and 2 ultra-rapid metabolizers. Those with co-ingestion of another CYP2D6-dependent drug were 9.49 (95% confidence interval (CI): 1.54-186.41; P = 0.01) times more likely to have genotype-phenotype discordance based upon the 3 hours dextrophan/dextromethorphan (DX/DM) ratio. CYP2D6 substrate co-ingestions can cause genotype-phenotype discordance.
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Affiliation(s)
- Andrew A Monte
- Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.,Rocky Mountain Poison and Drug Center, Denver Health and Hospital Authority, Denver, Colorado, USA.,Division of Bioinformatics and Personalized Medicine, Department of Internal Medicine, Colorado Center for Personalized Medicine, Aurora, Colorado, USA.,Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
| | - Kelsey West
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
| | - Kyle T McDaniel
- Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Hania K Flaten
- Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Jessica Saben
- Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Shelby Shelton
- Department of Emergency Medicine & Colorado Center for Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Farah Abdelmawla
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
| | - Lane R Bushman
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
| | - Kayla Williamson
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Diana Abbott
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, USA
| | - Peter L Anderson
- Department of Pharmaceutical Sciences, University of Colorado Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, USA
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Bahar MA, Wang Y, Bos JHJ, Wilffert B, Hak E. Discontinuation and dose adjustment of metoprolol after metoprolol-paroxetine/fluoxetine co-prescription in Dutch elderly. Pharmacoepidemiol Drug Saf 2018; 27:621-629. [PMID: 29575226 PMCID: PMC6001522 DOI: 10.1002/pds.4422] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 02/12/2018] [Accepted: 02/16/2018] [Indexed: 12/19/2022]
Abstract
Purpose Co‐prescription of paroxetine/fluoxetine (a strong CYP2D6 inhibitor) in metoprolol (a CYP2D6 substrate) users is common, but data on the clinical consequences of this drug‐drug interaction are limited and inconclusive. Therefore, we assessed the effect of paroxetine/fluoxetine initiation on the existing treatment with metoprolol on the discontinuation and dose adjustment of metoprolol among elderly. Methods We performed a cohort study using the University of Groningen IADB.nl prescription database (www.IADB.nl). We selected all elderly (≥60 years) who had ever been prescribed metoprolol and had a first co‐prescription of paroxetine/fluoxetine, citalopram (weak CYP2D6 inhibitor), or mirtazapine (negative control) from 1994 to 2015. The exposure group was metoprolol and paroxetine/fluoxetine co‐prescription, and the other groups acted as controls. The outcomes were early discontinuation and dose adjustment of metoprolol. Logistic regression was applied to estimate adjusted odds ratios (OR) and 95% confidence intervals (CI). Results Combinations of metoprolol‐paroxetine/fluoxetine, metoprolol‐citalopram, and metoprolol‐mirtazapine were started in 528, 673, and 625 patients, respectively. Compared with metoprolol‐citalopram, metoprolol‐paroxetine/fluoxetine was not significantly associated with the early discontinuation and dose adjustment of metoprolol (OR = 1.07, 95% CI:0.77‐1.48; OR = 0.87, 95% CI:0.57‐1.33, respectively). In comparison with metoprolol‐mirtazapine, metoprolol‐paroxetine/fluoxetine was associated with a significant 43% relative increase in early discontinuation of metoprolol (OR = 1.43, 95% CI:1.01‐2.02) but no difference in the risk of dose adjustment. Stratified analysis by gender showed that women have a significantly high risk of metoprolol early discontinuation (OR = 1.62, 95% CI:1.03‐2.53). Conclusion Paroxetine/fluoxetine initiation in metoprolol prescriptions, especially for female older patients, is associated with the risk of early discontinuation of metoprolol.
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Affiliation(s)
- Muh Akbar Bahar
- Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology and -Economics, University of Groningen, Groningen, The Netherlands.,Faculty of Pharmacy, Hasanuddin University, Makassar, Indonesia
| | - Yuanyuan Wang
- Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology and -Economics, University of Groningen, Groningen, The Netherlands
| | - Jens H J Bos
- Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology and -Economics, University of Groningen, Groningen, The Netherlands
| | - Bob Wilffert
- Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology and -Economics, University of Groningen, Groningen, The Netherlands.,Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, The Netherlands
| | - Eelko Hak
- Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology and -Economics, University of Groningen, Groningen, The Netherlands
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Marsousi N, Desmeules JA, Rudaz S, Daali Y. Prediction of drug-drug interactions using physiologically-based pharmacokinetic models of CYP450 modulators included in Simcyp software. Biopharm Drug Dispos 2017; 39:3-17. [PMID: 28960401 DOI: 10.1002/bdd.2107] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 08/28/2017] [Accepted: 09/11/2017] [Indexed: 01/16/2023]
Abstract
In recent years, physiologically based PharmacoKinetic (PBPK) modeling has received growing interest as a useful tool for the assessment of drug pharmacokinetics. It has been demonstrated to be informative and helpful to quantify the modification in drug exposure due to specific physio-pathological conditions, age, genetic polymorphisms, ethnicity and particularly drug-drug interactions (DDIs). In this paper, the prediction success of DDIs involving various cytochrome P450 isoenzyme (CYP) modulators namely ketoconazole (a competitive inhibitor of CYP3A), itraconazole (a competitive inhibitor of CYP3A), clarithromycin (a mechanism-based inhibitor of CYP3A), quinidine (a competitive inhibitor of CYP2D6), paroxetine (a mechanism-based inhibitor of CYP2D6), ciprofloxacin (a competitive inhibitor of CYP1A2), fluconazole (a competitive inhibitor of CYP2C9/2C19) and rifampicin (an inducer of CYP3A) were assessed using Simcyp® software. The aim of this report was to establish confidence in each CYP-specific modulator file so they can be used in the future for the prediction of DDIs involving new victim compounds. Our evaluation of these PBPK models suggested that they can be successfully used to evaluate DDIs in untested scenarios. The only noticeable exception concerned a quinidine inhibitor model that requires further improvement. Additionally, other important aspects such as model validation criteria were discussed.
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Affiliation(s)
- Niloufar Marsousi
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Switzerland.,School of Pharmaceutical Sciences, Geneva and Lausanne Universities, Switzerland
| | - Jules A Desmeules
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Switzerland.,School of Pharmaceutical Sciences, Geneva and Lausanne Universities, Switzerland.,Swiss Center for Applied Human Toxicology (SCAHT), University of Basel, Switzerland.,Faculty of Medicine, Geneva University, Switzerland
| | - Serge Rudaz
- School of Pharmaceutical Sciences, Geneva and Lausanne Universities, Switzerland.,Swiss Center for Applied Human Toxicology (SCAHT), University of Basel, Switzerland
| | - Youssef Daali
- Division of Clinical Pharmacology and Toxicology, Geneva University Hospitals, Switzerland.,School of Pharmaceutical Sciences, Geneva and Lausanne Universities, Switzerland.,Swiss Center for Applied Human Toxicology (SCAHT), University of Basel, Switzerland.,Faculty of Medicine, Geneva University, Switzerland
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Tfelt-Hansen P, Ågesen FN, Pavbro A, Tfelt-Hansen J. Pharmacokinetic Variability of Drugs Used for Prophylactic Treatment of Migraine. CNS Drugs 2017; 31:389-403. [PMID: 28405886 DOI: 10.1007/s40263-017-0430-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
In this review, we evaluate the variability in the pharmacokinetics of 11 drugs with established prophylactic effects in migraine to facilitate 'personalized medicine' with these drugs. PubMed was searched for 'single-dose' and 'steady-state' pharmacokinetic studies of these 11 drugs. The maximum plasma concentration was reported in 248 single-dose and 115 steady-state pharmacokinetic studies, and the area under the plasma concentration-time curve was reported in 299 single-dose studies and 112 steady-state pharmacokinetic studies. For each study, the coefficient of variation was calculated for maximum plasma concentration and area under the plasma concentration-time curve, and we divided the drug variability into two categories; high variability, coefficient of variation >40%, or low or moderate variability, coefficient of variation <40%. Based on the area under the plasma concentration-time curve in steady-state studies, the following drugs have high pharmacokinetic variability: propranolol in 92% (33/36), metoprolol in 85% (33/39), and amitriptyline in 60% (3/5) of studies. The following drugs have low or moderate variability: atenolol in 100% (2/2), valproate in 100% (15/15), topiramate in 88% (7/8), and naproxen and candesartan in 100% (2/2) of studies. For drugs with low or moderate pharmacokinetic variability, treatment can start without initial titration of doses, whereas titration is used to possibly enhance tolerability of topiramate and amitriptyline. The very high pharmacokinetic variability of metoprolol and propranolol can result in very high plasma concentrations in a small minority of patients, and those drugs should therefore be titrated up from a low initial dose, depending mainly on the occurrence of adverse events.
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Affiliation(s)
- Peer Tfelt-Hansen
- Danish Headache Center, Department of Neurology, Rigshospitalet-Glostrup Hospital, University of Copenhagen, Glostrup, Denmark
| | - Frederik Nybye Ågesen
- Department of Cardiology, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark.
| | - Agniezka Pavbro
- Danish Headache Center, Department of Neurology, Rigshospitalet-Glostrup Hospital, University of Copenhagen, Glostrup, Denmark
| | - Jacob Tfelt-Hansen
- Department of Cardiology, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark
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16
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Bahar MA, Hak E, Bos JHJ, Borgsteede SD, Wilffert B. The burden and management of cytochrome P450 2D6 (CYP2D6)-mediated drug-drug interaction (DDI): co-medication of metoprolol and paroxetine or fluoxetine in the elderly. Pharmacoepidemiol Drug Saf 2017; 26:752-765. [PMID: 28345306 DOI: 10.1002/pds.4200] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 02/03/2017] [Accepted: 03/01/2017] [Indexed: 01/18/2023]
Abstract
PURPOSE Metoprolol and paroxetine/fluoxetine are inevitably co-prescribed because cardiovascular disorders and depression often coexist in the elderly. This leads to CYP2D6-mediated drug-drug interactions (DDI). Because systematic evaluations are lacking, we assessed the burden of metoprolol-paroxetine/fluoxetine interaction in the elderly and how these interactions are managed in Dutch community pharmacies. METHOD Dispensing data were collected from the University of Groningen pharmacy database (IADB.nl, 1999-2014) for elderly patients (≥60 years) starting beta-blockers and/or antidepressants. Based on the two main DDI alert systems (G-Standard and Pharmabase), incidences were divided between signalled (metoprolol-fluoxetine/paroxetine) and not-signalled (metoprolol-alternative antidepressants and alternative beta-blockers-paroxetine/fluoxetine) combinations. Incident users were defined as patients starting at least one signalled or a non-signalled combination. G-Standard signalled throughout the study period, whereas Pharmabase stopped after 2005. RESULTS A total of 1763 patients had 2039 metoprolol-paroxetine/fluoxetine co-prescriptions, despite DDI alert systems, and about 57.3% were signalled. The number of metoprolol-alternative antidepressant combinations (incidences = 3150) was higher than alternative beta-blocker-paroxetine/fluoxetine combinations (incidences = 1872). Metoprolol users are more likely to be co-medicated with an alternative antidepressant (incidences = 2320) than paroxetine/fluoxetine users (incidences = 1232) are. The number of paroxetine/fluoxetine users co-prescribed with alternative beta-blockers was comparable to those co-medicated with metoprolol (about 50%). Less than 5% of patients received a substitute therapy after using metoprolol-paroxetine/fluoxetine. Most of the metoprolol users (90%) received a low dose (mean DDD = 0.47) regardless whether they were prescribed paroxetine/fluoxetine. CONCLUSION Despite the signalling software, metoprolol-paroxetine/fluoxetine combinations are still observed in the elderly population. The clinical impact of these interactions needs further investigation. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Muh Akbar Bahar
- University of Groningen, Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology & -Economics, Groningen, The Netherlands.,Hasanuddin University, Faculty of Pharmacy, Makassar, Indonesia
| | - Eelko Hak
- University of Groningen, Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology & -Economics, Groningen, The Netherlands
| | - Jens H J Bos
- University of Groningen, Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology & -Economics, Groningen, The Netherlands
| | - Sander D Borgsteede
- Health Base Foundation, Department of Clinical Decision Support, Houten, The Netherlands
| | - Bob Wilffert
- University of Groningen, Groningen Research Institute of Pharmacy, Department of PharmacoTherapy, -Epidemiology & -Economics, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
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17
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Eugene AR. Gender based Dosing of Metoprolol in the Elderly using Population Pharmacokinetic Modeling and Simulations. INTERNATIONAL JOURNAL OF CLINICAL PHARMACOLOGY & TOXICOLOGY 2016; 5:209-215. [PMID: 27468378 PMCID: PMC4959610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
INTRODUCTION This article seeks to clarify if gender-based differences occur in the pharmacokinetics of metoprolol in the elderly patients. There are a series of physiologic changes that occur in the elderly ranging from decreased hepatic blood flow to increased adiposity causing higher plasma concentrations at therapeutic doses as compared to the healthy young population. METHODS Population pharmacokinetic modeling were performed using MONOLIX and Monte-Carlo simulations were conducted using MATLAB. The data was based from a previously published dataset where elderly patients, having multiple comorbidities, were administered a 50mg dose of metoprolol. RESULTS Metoprolol was modeled using a one-compartment model and resulted in the following population pharmacokinetic parameters: volume of distribution, V=38L (CV=155%), clearance rates, CL-Men=105L/hour and CL-Women=59.1L/hour (38%), time lag, Tlag=0.469 hour (CV=17%), and the absorption rate constant, Ka=0.235 hr-1 (CV=23%). CONCLUSION Gender stratified doses resulting in an equivalent systemic metoprolol exposure in geriatric patients have been identified. Metoprolol doses resulting a similar AUC in a healthy young male administered 50mg tablet were 15mg for geriatric women and 25mg for geriatric men. Further, Metoprolol doses of 25mg for geriatric women and 50mg for geriatric men resulted in an equivalent AUC to a healthy young males dosed with a 100mg tablet. A 15mg Metoprolol tablet may need to be compounded to account for the gender differences in Metoprolol pharmacokinetics.
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Affiliation(s)
- Andy R Eugene
- Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Gonda 19, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Joyner Lab: Integrative Human Physiology and Pharmacology Lab, Department of Anesthesiology, Rochester, MN, USA
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18
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Flaten HK, Kim HS, Campbell J, Hamilton L, Monte AA. CYP2C19 drug-drug and drug-gene interactions in ED patients. Am J Emerg Med 2015; 34:245-9. [PMID: 26639454 DOI: 10.1016/j.ajem.2015.10.055] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Revised: 10/24/2015] [Accepted: 10/30/2015] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND CYP450 polymorphisms result in variable rates of drug metabolism. CYP drug-drug interactions can contribute to altered drug effectiveness and safety. STUDY OBJECTIVES The primary objective was to determine the percentage of emergency department (ED) patients with cytochrome 2C19 (CYP2C19) drug-drug interactions. The secondary objective was to determine the prevalence of CYP2C19 polymorphisms in a US ED population. METHODS We conducted a prospective observational study in an urban academic ED with 72,000 annual visits. Drug ingestion histories for the 48 hours preceding ED visit were obtained; each drug was coded as CYP2C19 substrate, inhibitor, inducer, or not CYP2C19 dependent. Ten percent of patients were randomized to undergo CYP2C19 genotyping using the Roche Amplichip. RESULTS A total of 502 patients were included; 61% were female, 65% were white, and median age was 39 years (interquartile range, 22-53). One hundred thirty-one (26.1%) patients had taken at least 1 CYP2C19-dependent home drug. Eighteen (13.7%) patients who were already taking a CYP2C19-dependent drug were given or prescribed a CYP2C19-dependent drug while in the ED. Among the 53 patients genotyped, 52 (98%) were extensive metabolizers and 1 was a poor metabolizer. CONCLUSIONS In a population of ED patients, more than a quarter had taken a CYP2C19-dependent drug in the preceding 48 hours, but few were given or prescribed another CYP2C19-dependent drug in the ED. On genotyping analysis, CYP2C19 polymorphisms were uncommon in our cohort. We conclude that changing prescribing practice due to CYP2C19 drug-drug interaction or genotype is unlikely to be useful in most US ED populations.
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Affiliation(s)
- Hanna K Flaten
- University of Colorado Department of Emergency Medicine, 12401 E 17th Ave, Aurora, CO, 80045
| | - Howard S Kim
- Denver Health Residency in Emergency Medicine, 770 Bannock St, Denver, CO, 80204
| | - Jenny Campbell
- University of Colorado Department of Emergency Medicine, 12401 E 17th Ave, Aurora, CO, 80045
| | - Lisa Hamilton
- University of Colorado School of Medicine, 12401 E 17th Ave, Aurora, CO, 80045
| | - Andrew A Monte
- University of Colorado Department of Emergency Medicine, 12401 E 17th Ave, Aurora, CO, 80045; Denver Health Residency in Emergency Medicine, 770 Bannock St, Denver, CO, 80204; University of Colorado School of Medicine, 12401 E 17th Ave, Aurora, CO, 80045; Skaggs School of Pharmacy and Pharmaceutical Sciences, 12401 E 17th Ave, Aurora, CO, 80045; Rocky Mountain Poison & Drug Center, 990 Bannock St, Denver, CO, 80204.
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Aristizábal JM, Restrepo A, Uribe W, Marín JE, Velásquez JE, Duque M. «Las otras» bradicardias. REVISTA COLOMBIANA DE CARDIOLOGÍA 2015. [DOI: 10.1016/j.rccar.2015.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Monte AA, Heard KJ, Campbell J, Hamamura D, Weinshilboum RM, Vasiliou V. The effect of CYP2D6 drug-drug interactions on hydrocodone effectiveness. Acad Emerg Med 2014; 21:879-85. [PMID: 25156930 DOI: 10.1111/acem.12431] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2013] [Revised: 01/06/2014] [Accepted: 03/17/2014] [Indexed: 01/26/2023]
Abstract
OBJECTIVES The hepatic cytochrome 2D6 (CYP2D6) is a saturable enzyme responsible for metabolism of approximately 25% of known pharmaceuticals. CYP interactions can alter the efficacy of prescribed medications. Hydrocodone is largely dependent on CYP2D6 metabolism for analgesia, ondansetron is inactivated by CYP2D6, and oxycodone analgesia is largely independent of CYP2D6. The objective was to determine if CYP2D6 medication coingestion decreases the effectiveness of hydrocodone. METHODS This was a prospective observational study conducted in an academic U.S. emergency department (ED). Subjects were included if they had self-reported pain or nausea and were excluded if they were unable to speak English, were less than 18 years of age, had liver or renal failure, or carried diagnoses of chronic pain or cyclic vomiting. Detailed drug ingestion histories for the preceding 48 hours prior to the ED visit were obtained. The patient's pain and nausea were quantified using a 100-mm visual analog scale (VAS) at baseline prior to drug administration and following doses of hydrocodone, oxycodone, or ondansetron. We used a mixed model with random subject effect to determine the interaction between CYP2D6 drug ingestion and study drug effectiveness. Odds ratios (ORs) were calculated to compare clinically significant VAS changes between CYP2D6 users and nonusers. RESULTS A total of 250 (49.8%) of the 502 subjects enrolled had taken at least one CYP2D6 substrate, inhibitor, or inducing pharmaceutical, supplement, or illicit drug in the 48 hours prior to ED presentation. CYP2D6 drug users were one-third as likely to respond to hydrocodone (OR = 0.33, 95% confidence interval [CI] = 0.1 to 0.8) and more than three times as likely as nonusers to respond to ondansetron (OR = 3.4, 95% CI = 1.3 to 9.1). There was no significant difference in oxycodone effectiveness between CYP2D6 users and nonusers (OR = 0.53, 95% CI = 0.3 to 1.1). CONCLUSIONS CYP2D6 drug-drug interactions appear to change effectiveness of commonly prescribed drugs in the ED. Drug-drug interaction should be considered prior to prescribing CYP2D6 drugs.
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Affiliation(s)
- Andrew A. Monte
- Department of Emergency Medicine; University of Colorado; Aurora CO
- Skaggs School of Pharmacy and Pharmaceutical Sciences; San Diego CA
- Rocky Mountain Poison & Drug Center; Denver CO
| | - Kennon J. Heard
- Department of Emergency Medicine; University of Colorado; Aurora CO
- Rocky Mountain Poison & Drug Center; Denver CO
| | - Jenny Campbell
- Department of Emergency Medicine; University of Colorado; Aurora CO
| | - D. Hamamura
- Department of Emergency Medicine; University of Colorado; Aurora CO
- Skaggs School of Pharmacy and Pharmaceutical Sciences; San Diego CA
| | | | - Vasilis Vasiliou
- Skaggs School of Pharmacy and Pharmaceutical Sciences; San Diego CA
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Borron P, Cohen O, Hoofwijk TJ, Turner JR. Participation of Hypertension Patients in Early-Phase Clinical Trials. J Clin Hypertens (Greenwich) 2014; 16:389-92. [DOI: 10.1111/jch.12296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Paul Borron
- Early Clinical Development; Quintiles; Durham NC
| | - Oren Cohen
- Early Clinical Development; Quintiles; Durham NC
| | - Theo J. Hoofwijk
- Therapeutic Strategy Development; Quintiles B.V.; Hoofddorp the Netherlands
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Briciu C, Neag M, Muntean D, Vlase L, Bocsan C, Buzoianu A, Gheldiu AM, Achim M, Popa A. A pharmacokinetic drug interaction study between nebivolol and paroxetine in healthy volunteers. J Clin Pharm Ther 2014; 39:535-40. [PMID: 24845234 DOI: 10.1111/jcpt.12180] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2014] [Accepted: 04/23/2014] [Indexed: 11/30/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVE Nebivolol is a highly selective beta-blocker with additional vasodilator properties, widely used in the clinical practice for the treatment of hypertension and heart failure. Paroxetine is a second-generation antidepressant and a potent inhibitor of CYP2D6, the same isoenzyme involved in the metabolism of nebivolol. The objective of this study was to investigate the effect of multiple-dose paroxetine intake on the pharmacokinetics of nebivolol in healthy volunteers and its potential consequences upon nebivolol pharmacodynamics. METHODS The study included 23 healthy subjects and was designed as an open-label, single-centre, non-randomized, two-period clinical trial. During period 1 (reference), each volunteer received a single dose of 5 mg nebivolol, whereas during period 2 (test), each volunteer received a single dose of 5 mg nebivolol and 20 mg paroxetine, after a pretreatment regimen with paroxetine (20-40 mg/day for 6 days). The pharmacokinetic parameters of nebivolol and its active metabolite were analysed by non-compartmental modelling. The pharmacodynamic parameters (blood pressure and heart rate) were assessed at rest, after each nebivolol intake. RESULTS AND DISCUSSION Pretreatment with paroxetine increased the mean peak plasma concentrations (Cmax ) for unchanged nebivolol (1·78 ± 1·17 vs. 4·24 ± 1·67 ng/mL) and for its active metabolite (0·58 ± 0·21 vs. 0·79 ± 0·24 ng/mL) compared to nebivolol alone. The time (tmax ) to reach Cmax was 1·37 ± 0·88 (h) and 3·11 ± 1·76 (h) for the parent compound and its active metabolite after nebivolol administered alone and 3·96 ± 1·76 (h), respectively, 7·33 ± 7·84 (h) after pretreatment with paroxetine. Also, the total areas under the curve (AUC0-∞ ) were significantly increased from 17·26 ± 43·06 to 106·20 ± 65·56 h ng/mL for nebivolol unchanged and 13·03 ± 11·29 to 74·56 ± 88·77 h ng/mL for its hydroxylated metabolite, before and after paroxetine intake. All the pharmacokinetic parameters presented statistically significant differences when paroxetine was administered with nebivolol. Nonetheless, statistical analysis did not show a significant difference between the vital signs measured during the two periods. WHAT IS NEW AND CONCLUSION After pretreatment with paroxetine, the exposure to nebivolol was increased by 6·1-fold for the parent drug and 5·7-fold for the hydroxylated active metabolite. Paroxetine influenced nebivolol pharmacokinetics in healthy volunteers, but it did not have a significant effect on nebivolol pharmacodynamic parameters measured at rest, although the clinical relevance of this drug interaction needs further investigation.
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Affiliation(s)
- C Briciu
- Faculty of Pharmacy, Department of Clinical Pharmacy, University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania
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Shin J, Gonzales M, Pletcher MJ. Risk of emergent bradycardia associated with initiation of immediate- or slow-release metoprolol. Pharmacotherapy 2013; 33:1353-61. [PMID: 23813768 DOI: 10.1002/phar.1319] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVES To estimate and compare the risk of emergent bradycardia associated with starting immediate-release (IR) and slow-release (SR) formulations of metoprolol. DESIGN Retrospective analysis of administrative claims data. DATA SOURCE State of California Medicaid program (Medi-Cal) claims database. PATIENTS A total of 31,574 adults beginning metoprolol between May 1, 2004, and November 1, 2009, without a pharmacy claim for a β blocker within the previous 6 months of metoprolol initiation; patients with a primary or secondary diagnosis of symptomatic bradycardia, pacemaker, or implantable cardioverter-defibrillator placement before metoprolol initiation were excluded. MEASUREMENTS AND MAIN RESULTS The study outcome was the time to first occurrence of emergent bradycardia, measured at an emergency department visit or hospitalization due to diagnosis of symptomatic bradycardia, after metoprolol initiation. We calculated the incidence and compared the risk of emergent bradycardia by using a proportional hazards model that included the metoprolol formulation with adjustment for total daily metoprolol dose and the use of other drugs as time-varying covariates, as well as demographics and comorbidities. Among 31,574 patients starting metoprolol, 18,516 (58.6%) used the IR formulation. The incidence of emergent bradycardia was 19.1/1000 person-years overall but was nearly twice as common in patients using the IR versus the SR formulation (24.1/1000 person-yrs in the IR group versus 12.9/1000 person-yrs in the SR group, unadjusted hazard ratio [HR] 1.81, 95% confidence interval [CI] 1.28-2.56). Adjustment for other drugs also associated with symptomatic bradycardia (cytochrome P450 2D6 inhibitors, class I or III antiarrhythmics, and atrioventricular node-blocking agents), metoprolol dose, and other participant characteristics somewhat attenuated the association (adjusted HR 1.48, 95% CI 1.03-2.13). CONCLUSION The risk of emergent bradycardia associated with metoprolol initiation was higher with the IR formulation than the SR formulation, although the absolute risk was low.
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Affiliation(s)
- Jaekyu Shin
- Department Clinical Pharmacy, University of California, San Francisco, California
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Samer CF, Lorenzini KI, Rollason V, Daali Y, Desmeules JA. Applications of CYP450 testing in the clinical setting. Mol Diagn Ther 2013; 17:165-84. [PMID: 23588782 PMCID: PMC3663206 DOI: 10.1007/s40291-013-0028-5] [Citation(s) in RCA: 226] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Interindividual variability in drug response is a major clinical problem. Polymedication and genetic polymorphisms modulating drug-metabolising enzyme activities (cytochromes P450, CYP) are identified sources of variability in drug responses. We present here the relevant data on the clinical impact of the major CYP polymorphisms (CYP2D6, CYP2C19 and CYP2C9) on drug therapy where genotyping and phenotyping may be considered, and the guidelines developed when available. CYP2D6 is responsible for the oxidative metabolism of up to 25% of commonly prescribed drugs such as antidepressants, antipsychotics, opioids, antiarrythmics and tamoxifen. The ultrarapid metaboliser (UM) phenotype is recognised as a cause of therapeutic inefficacy of antidepressant, whereas an increased risk of toxicity has been reported in poor metabolisers (PMs) with several psychotropics (desipramine, venlafaxine, amitriptyline, haloperidol). CYP2D6 polymorphism influences the analgesic response to prodrug opioids (codeine, tramadol and oxycodone). In PMs for CYP2D6, reduced analgesic effects have been observed, whereas in UMs cases of life-threatening toxicity have been reported with tramadol and codeine. CYP2D6 PM phenotype has been associated with an increased risk of toxicity of metoprolol, timolol, carvedilol and propafenone. Although conflicting results have been reported regarding the association between CYP2D6 genotype and tamoxifen effects, CYP2D6 genotyping may be useful in selecting adjuvant hormonal therapy in postmenopausal women. CYP2C19 is responsible for metabolising clopidogrel, proton pump inhibitors (PPIs) and some antidepressants. Carriers of CYP2C19 variant alleles exhibit a reduced capacity to produce the active metabolite of clopidogrel, and are at increased risk of adverse cardiovascular events. For PPIs, it has been shown that the mean intragastric pH values and the Helicobacter pylori eradication rates were higher in carriers of CYP2C19 variant alleles. CYP2C19 is involved in the metabolism of several antidepressants. As a result of an increased risk of adverse effects in CYP2C19 PMs, dose reductions are recommended for some agents (imipramine, sertraline). CYP2C9 is responsible for metabolising vitamin K antagonists (VKAs), non-steroidal anti-inflammatory drugs (NSAIDs), sulfonylureas, angiotensin II receptor antagonists and phenytoin. For VKAs, CYP2C9 polymorphism has been associated with lower doses, longer time to reach treatment stability and higher frequencies of supratherapeutic international normalised ratios (INRs). Prescribing algorithms are available in order to adapt dosing to genotype. Although the existing data are controversial, some studies have suggested an increased risk of NSAID-associated gastrointestinal bleeding in carriers of CYP2C9 variant alleles. A relationship between CYP2C9 polymorphisms and the pharmacokinetics of sulfonylureas and angiotensin II receptor antagonists has also been observed. The clinical impact in terms of hypoglycaemia and blood pressure was, however, modest. Finally, homozygous and heterozygous carriers of CYP2C9 variant alleles require lower doses of phenytoin to reach therapeutic plasma concentrations, and are at increased risk of toxicity. New diagnostic techniques made safer and easier should allow quicker diagnosis of metabolic variations. Genotyping and phenotyping may therefore be considered where dosing guidelines according to CYP genotype have been published, and help identify the right molecule for the right patient.
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Affiliation(s)
- C F Samer
- Clinical Pharmacology and Toxicology, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1211, Geneva, Switzerland.
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Blake CM, Kharasch ED, Schwab M, Nagele P. A meta-analysis of CYP2D6 metabolizer phenotype and metoprolol pharmacokinetics. Clin Pharmacol Ther 2013; 94:394-9. [PMID: 23665868 PMCID: PMC3818912 DOI: 10.1038/clpt.2013.96] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 05/01/2013] [Indexed: 12/16/2022]
Abstract
Metoprolol, a commonly prescribed beta-blocker, is primarily metabolized by cytochrome P450 2D6 (CYP2D6), an enzyme with substantial genetic heterogeneity. Several smaller studies have shown that metoprolol pharmacokinetics is influenced by CYP2D6 genotype and metabolizer phenotype. To increase robustness of metoprolol pharmacokinetic estimates, a systematic review and meta-analysis of pharmacokinetic studies that administered a single oral dose of immediate release metoprolol was performed. Pooled analysis (n= 264) demonstrated differences in peak plasma metoprolol concentration, area under the concentration-time curve, elimination half-life, and apparent oral clearance that were 2.3-, 4.9-, 2.3-, and 5.9-fold between extensive and poor metabolizers, respectively, and 5.3-, 13-, 2.6-, and 15-fold between ultra-rapid and poor metabolizers (all p<0.001). Enantiomer-specific analysis revealed genotype-dependent enantio-selective metabolism, with nearly 40% greater R- vs S-metoprolol metabolism in ultra-rapid and extensive metabolizers. This study demonstrates a marked effect of CYP2D6 metabolizer phenotype on metoprolol pharmacokinetics and confirms enantiomer specific metabolism of metoprolol.
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Affiliation(s)
- C M Blake
- Division of Clinical and Translational Research, Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri, USA
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Teh LK, Bertilsson L. Pharmacogenomics of CYP2D6: molecular genetics, interethnic differences and clinical importance. Drug Metab Pharmacokinet 2011; 27:55-67. [PMID: 22185816 DOI: 10.2133/dmpk.dmpk-11-rv-121] [Citation(s) in RCA: 150] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
CYP2D6 has received intense attention since the beginning of the pharmacogenetic era in the 1970s. This is because of its involvement in the metabolism of more than 25% of the marketed drugs, the large geographical and inter-ethnic differences in the genetic polymorphism and possible drug-induced toxicity. Many interesting reviews have been published on CYP2D6 and this review aims to reinstate the importance of the genetic polymorphism of CYP2D6 in different populations as well as some clinical implications and important drug interactions.
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Affiliation(s)
- Lay Kek Teh
- Pharmacogenomics Centre PROMISE, Faculty of Pharmacy, Universiti Teknologi MARA, Selangor DE, Malaysia.
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