Reproducibility of the in vivo effect of the selective serotonin reuptake inhibitors on the in vivo function of cytochrome P450 2D6: an update (part I)

Personalized Medicine in the Treatment of a Patient With Obsessive-Compulsive Disorder With Clomipramine

Clomipramine (CIMI) is an effective treatment for obsessive-compulsive disorder in patients who have failed to respond to trials of selective serotonin transport inhibitors (eg, sertraline). The case presented here illustrates how knowledge of the pharmacodynamics and pharmacokinetics of CIMI in a specific patient can be used to personalize treatment to optimize the likelihood of efficacy (ie, maximum benefit to risk ratio). The approach described in this column considered: (1) the patient's diminished ability to clear CIMI and its major metabolite, desmethlyclomipramine due to a genetic deficiency in cytochrome P450 2D6 enzyme activity, and (2) the patient's ability to extensively convert CIMI to desmethlyclomipramine. That conversion impairs the ability to inhibit the serotonin transporter, the mechanism that is most likely responsible for the efficacy of CIMI in obsessive-compulsive disorder.

Comparative Pharmacology of the 3 Marketed Dual Orexin Antagonists-Daridorexant, Lemborexant, and Suvorexant-Part 2. Principal Drug Metabolizing Enzyme, Drug-Drug Interactions, and Effects of Liver and Renal Impairment on Metabolism

This column is the second in a 2-part series presenting the comparative pharmacology of the 3 Food and Drug Administration-approved dual orexin receptor antagonists, daridorexant, lemborexant, and suvorexant. Both of the columns in this series emphasize the pharmacokinetics of these drugs as they are relevant to their use as sleep medications. Although other classes of sleep medications are not discussed, the same pharmacokinetic principles also apply to them in terms of endeavoring to match the pharmacokinetics of an agent to the individual's usual sleep cycle. This second column in the series focuses on the metabolism of each of the 3 drugs by the cytochrome P450 enzyme CYP3A, guidance for using these agents in combination with drugs that are CYP3A inhibitors or inducers, and how to adjust dosing in patients with comorbid conditions such as hepatic or renal impairment.

Charting and Handling Genetic Test Results: How They Differ From Most Laboratory Results

Genetic tests, unlike most other laboratory tests, are trait rather than state tests. That means the results almost always stay the same. Exceptions to this rule are discussed in this column. Trait tests require documentation in such a way that they are not buried in the chart and forgotten, as usually happens with state (or point-in-time tests) such as serum potassium levels. Genetic test results and their implications should be explained to the patient in as much detail as possible and also shared and discussed with all health care providers treating the patient. This column explains the rationale for and the means to accomplish the goals of optimally charting and disseminating the results of such tests.

How Can Drug Metabolism and Transporter Genetics Inform Psychotropic Prescribing?

Many genetic variants in drug metabolizing enzymes and transporters have been shown to be relevant for treating psychiatric disorders. Associations are strong enough to feature on drug labels and for prescribing guidelines based on such data. A range of commercial tests are available; however, there is variability in included genetic variants, methodology, and interpretation. We herein provide relevant background for understanding clinical associations with specific variants, other factors that are relevant to consider when interpreting such data (such as age, gender, drug-drug interactions), and summarize the data relevant to clinical utility of pharmacogenetic testing in psychiatry and the available prescribing guidelines. We also highlight areas for future research focus in this field.

Pharmacokinetic interactions between clozapine and sertraline in smokers and non-smokers

Clozapine is an effective antipsychotic drug for treatment-resistant schizophrenia. Sertraline is a widely prescribed antidepressant and often concomitantly applied to address negative symptoms or depression. However, data on interactions between clozapine and sertraline are inconsistent. The aim of our study was to evaluate pharmacokinetic interactions between clozapine and sertraline analysing a therapeutic drug monitoring database of 1644 clozapine-medicated patients. We compared four groups: non-smokers (n = 250) and smokers (n = 326) with co-medication without known effects on cytochrome P450 and without sertraline, and non-smokers (n = 18) and smokers (n = 17) with sertraline co-medication. Measured and dose-corrected concentrations (C/D) of clozapine were compared between the groups using non-parametrical tests with a significance level of 0.05. Post hoc analyses included pairwise comparisons to account for smoking status. Although we detected significant differences for clozapine levels and C/D values between study groups (P < .001 for Kruskal-Wallis test in both cases), post hoc analyses revealed no differences for concentrations and C/D values of clozapine (P > .05 for Mann-Whitney U test in both cases). A negative correlation between the sertraline dose and the clozapine concentration was found in non-smokers (Spearman's rank correlation, rs = -0.535, P = .048). A potential pharmacokinetic interaction between clozapine and a standard therapeutic sertraline dose seems to be of minor clinical importance.

Drug-Drug Interactions (DDIs) in Psychiatric Practice, Part 9: Interactions Mediated by Drug-metabolizing Cytochrome P450 Enzymes

This column is the ninth in a series exploring drug-drug interactions (DDIs) with a special emphasis on psychiatric medications. The first 3 columns in this DDI series discussed why patients being treated with psychiatric medications are at increased risk for taking multiple medications and thus experiencing DDIs, how to recognize such DDIs, strategies for avoiding and/or minimizing adverse outcomes from such DDIs, and pharmacokinetic considerations concerning DDIs in psychiatric practice. The fourth and fifth columns in this series presented a pair of parallel tables, one of which outlined the primary, known mechanism(s) of action of all commonly used psychiatric medications and one of which summarized major types of pharmaco-dynamic DDIs based on mechanism of action. Clinicians can use these 2 tables together to predict pharmacodynamically mediated DDIs. The sixth column discussed key pharmacodynamic interactions involving ethanol, opioids, and monoamine oxidase inhibitors. The seventh and eighth columns presented the concept of relative receptor binding and included tables summarizing the relative receptor binding affinity of currently available antipsychotics and antidepressants, respectively. This ninth and final column in this series discusses pharmacokinetic DDIs with a focus on psychiatric medications and contains 3 tables. The first table is an abbreviated version of a table available online showing which drugs are substrates for which cytochrome P450 (CYP) enzymes and which drugs are inhibitors or inducers of specific CYP enzymes. The abbreviated version of the table presented in this column focuses on psychiatric medications. This table and the larger website version can allow prescribers to anticipate which drug combinations may pose the risk of a CYP enzyme-mediated DDI. The second table summarizes which antidepressants inhibit specific CYP enzymes and which antidepressants do not or are unlikely to inhibit specific CYP enzymes. The third table presents psychiatric medications whose clearance is not principally dependent on CYP enzyme-mediated oxidative metabolism as a necessary step in their clearance from the body. The latter 2 tables inform prescribers as to which drugs they may prefer to use to avoid CYP enzyme-mediated DDIs. The overall goal of this series of columns is to present a simple way of conceptualizing neuropsychiatric medications in terms of their pharmacodynamics and pharmacokinetics to allow prescribers to take these facts into consideration when they need to use ≥2 drugs in combination to optimally treat a patient.

Common CYP2D6, CYP2C9, and CYP2C19 Gene Variants, Health Anxiety, and Neuroticism Are Not Associated With Self-Reported Antidepressant Side Effects

Many patients prescribed an antidepressant stop taking it because of side effects. Genetic factors and psychological factors including state or trait anxiety, may explain variation in side effect outcomes. Our aim was to examine the relative contribution of genetic and psychological factors in people with self-reported antidepressant side effects. We undertook a case control study (n = 194) of people who took a selective serotonin reuptake inhibitor (SSRI) or serotonin/noradrenaline reuptake inhibitor (SNRI) in the past 2 years, recruited via social media advertising. Cases had previously not tolerated at least one trial of an SSRI or SNRI, evidenced by stopping the drug or reducing the dose by at least 50% because of a side effect. Control participants had taken an SSRI or SNRI but did not meet case criteria. Variation in the genes CYP2D6, CYP2C19, and CYP2C9 was analyzed by Sanger sequencing on DNA extracted from blood or saliva. Participants completed the Short Health Anxiety Inventory-18, K10, and NEO-FFI-3 personality questionnaire. Participants were 87.1% female. 70.8% had a current K10 score of 22 or more. There was no consistent evidence that cases had higher psychological distress, health anxiety, or neuroticism. There was low correspondence between participants' CYP2D6, CYP2C19, and CYP2C9 phenotypes and their history of antidepressant tolerability. For this cohort of patients a history of not tolerating SSRI or SNRI therapy was not associated with variation in the pharmacogenes we tested, nor was it associated with health anxiety or neuroticism.

Drug-drug Interactions in Psychiatric Practice, Part 4: Classification of Neuropsychiatric Medications Based on Their Principal Mechanisms of Action (With Updated Neuroscience-based Nomenclature)

This column is the fourth in a series exploring drug-drug interactions (DDIs) with a special emphasis on psychiatric medications. This column discusses how drugs with multiple mechanisms of action have the potential to interact pharmacodynamically by the mechanism(s) mediating their therapeutic indication and for some drugs by other mechanisms (ie, drugs with multiple mechanisms of action). In this and the next column in this series, we present a classificatory system in the form of 2 tables that prescribers can use to predict the action of a neuropsychiatric drug when used alone as well as DDIs that can occur when it is used in combination with other drugs. The table in this column presents neuropsychiatric medications classified according to their mechanism(s) of action. The next column in this series will present a parallel table summarizing major types of pharmacodynamic DDIs based on mechanism of action and discuss strategies for minimizing adverse outcomes from such unintended DDIs. The authors recommend that health care providers' knowledge of the drugs they frequently prescribe include both their generic and brand names (to avoid confusion leading to dispensing the wrong drugs), routinely used doses, pharmacokinetics including half-lives, pharmacodynamics including mechanism(s) of action and binding profile for specific receptor(s) (not specifically discussed here but available in other columns by the first author), adverse effect profiles, potential DDIs, and the evolving research literature on these agents.

Association between CYP2D6 Genotypes and the Risk of Antidepressant Discontinuation, Dosage Modification and the Occurrence of Maternal Depression during Pregnancy

Importance: Polymorphic expression of drug metabolizing enzymes affects the metabolism of antidepressants, and thus can contribute to drug response and/or adverse events. Pregnancy itself can affect CYP2D6 activity with profound variations determined by CYP2D6 genotype. Objective: To investigate the association between CYP2D6 genotype and the risk of antidepressant discontinuation, dosage modification, and the occurrence of maternal CYP2D6, Antidepressants, Depression during pregnancy. Setting: Data from the Organization of Teratology Information Specialists (OTIS) Antidepressants in Pregnancy Cohort, 2006-2010, were used. Women were eligible if they were within 14 completed weeks of pregnancy at recruitment and exposed to an antidepressant or having any exposures considered non-teratogenic. Main Outcomes and Measures: Gestational antidepressant usage was self-reported and defined as continuous/discontinued use, and non-use; dosage modification was further documented. Maternal depression and anxiety were measured every trimester using the telephone interviewer-administered Edinburgh Postnatal Depression Scale and the Beck Anxiety Inventory, respectively. Saliva samples were collected and used for CYP2D6 genotype analyses. Logistic regression models were used to calculate crude and adjusted odds ratios (OR) with 95% confidence intervals. Results: A total of 246 pregnant women were included in the study. The majority were normal metabolizers (NM, n = 204, 83%); 3.3% (n = 8) were ultrarapid metabolizers (UM), 5.7% (n = 14) poor metabolizers (PM), and 8.1% (n = 20) intermediate metabolizers (IM). Among study subjects, 139 women were treated with antidepressants at the beginning of pregnancy, and 21 antidepressant users (15%) discontinued therapy during pregnancy. Adjusting for depressive symptoms, and other potential confounders, the risk of discontinuing antidepressants during pregnancy was nearly four times higher in slow metabolizers (poor or intermediate metabolizers) compared to those with a faster metabolism rate (normal or ultrarapid metabolizers), aOR = 3.57 (95% CI: 1.15-11.11). Predicted CYP2D6 metabolizer status did not impact dosage modifications. Compared with slow metabolizers, significantly higher proportion of women in the fast metabolizer group had depressive symptom in the first trimester (19.81 vs. 5.88%, P = 0.049). Almost 21% of treated women remained depressed during pregnancy (14.4% NM-UM; 6.1% PM-IM). Conclusions and Relevance: Prior knowledge of CYP2D6 genotype may help to identify pregnant women at greater risk of antidepressant discontinuation. Twenty percent of women exposed to antidepressants during pregnancy remained depressed, indicating an urgent need for personalized treatment of depression during pregnancy.

Switching From the Oral to the Depot Formulation of a Medication: Clinically Relevant Pharmacokinetic Concepts and Considerations

This column presents principles that will aid the prescriber in transitioning patients from an oral to a depot antipsychotic medication. The column covers the differences in the pharmacokinetics of oral versus depot formulations that are critical in making a smooth transition. Also discussed are some of the reasons to use these medications, which, in the author's opinion, are currently underutilized. This column focuses on the big picture and the fundamentals of oral versus depot formulations rather than comparing the relative merits or potential advantages of the various marketed depot formulations.

Pharmacokinetic Pharmacogenetic Prescribing Guidelines for Antidepressants: A Template for Psychiatric Precision Medicine

Antidepressants are commonly prescribed medications in the United States, and there is increasing interest in individualizing treatment selection for more than 20 US Food and Drug Administration-approved treatments for major depressive disorder. Providing greater precision to pharmacotherapeutic recommendations for individual patients beyond the large-scale clinical trials evidence base can potentially reduce adverse effect toxicity profiles and increase response rates and overall effectiveness. It is increasingly recognized that genetic variation may contribute to this differential risk to benefit ratio and thus provides a unique opportunity to develop pharmacogenetic guidelines for psychiatry. Key studies and concepts that review the rationale for cytochrome P450 2D6 (CYP2D6) and cytochrome P450 2C19 (CYP2C19) genetic testing can be delineated by serum levels, adverse events, and clinical outcome measures (eg, antidepressant response). In this article, we report the evidence that contributed to the implementation of pharmacokinetic pharmacogenetic guidelines for antidepressants primarily metabolized by CYP2D6 and CYP2C19.

Commentary on 2 Cases of Takotsubo Cardiomyopathy Involving Psychotropic Medication

Takotsubo cardiomyopathy, also known as Takotsubo syndrome (TTS), is a cardiac syndrome first described in Japan in 1990 that typically follows an acute physical or psychiatric stressor, hence its association with the terms "broken heart syndrome" and stress cardiomyopathy. Although it is relatively rare, occurring in only 0.02% of the general population and roughly 2% of patients with acute coronary syndrome, neurological or psychiatric disorders are present in over 50% of affected individuals. One of the major hypotheses regarding the pathophysiology of TTS involves a catecholamine surge, from stress directly, or in some cases from psychiatric medication used to relieve distress. Given the association of TTS with acute stress and psychiatric illness, psychiatrists may be involved in the care of patients with TTS either at the initial presentation of the condition or following recovery. The case reports presented in this issue exemplify these 2 scenarios: one case involves the development of TTS during treatment with atomoxetine, and the other case involves treatment of depression in a patient after recovery from TTS, as well as a TTS recurrence during treatment with fluoxetine.

Determining Whether a Definitive Causal Relationship Exists Between Aripiprazole and Tardive Dyskinesia and/or Dystonia in Patients With Major Depressive Disorder, Part 2: Preclinical and Early Phase Human Proof of Concept Studies

This series of columns has 3 main goals: (1) to explain class warnings as used by the United States Food and Drug Administration, (2) to increase awareness of movement disorders that may occur in patients treated with antipsychotic medications, and (3) to understand why clinicians should refrain from immediately assuming a diagnosis of tardive dyskinesia/dystonia (TD) in patients treated with antipsychotics. The first column in this series began with the case of a 76-year-old man with major depressive disorder who developed orofacial dyskinesias while being treated with aripiprazole as an antidepressant augmentation strategy. It was alleged that a higher than intended dose of aripiprazole (ie, 20 mg/d for 2 wk followed by 10 mg/d for 4 wk instead of the intended dose of 2 mg/d) was the cause of the dyskinetic movements in this man, and the authors were asked to review the case and give their opinion. The principal basis for this theory of causation was the class warning about TD in the package insert for aripiprazole. The rationale for concluding aripiprazole caused TD in the 76-year-old man led to this series of columns about aripiprazole, its potential--if any--to cause TD, and the presence of a class warning about TD in its package insert. The central point is to illustrate why class warnings exist and their implications for practice. The first column in this series focused on the historical background, incidence, prevalence, risk factors, and clinical presentations of tardive and spontaneous dyskinesias and concluded with a discussion of diagnostic considerations explaining why clinicians should avoid making a diagnosis of TD until a thorough differential diagnosis has been considered. This second column in the series reviews the pharmacology of aripiprazole and the preclinical and phase I translational human studies that suggest aripiprazole should have a low to nonexistent risk of causing TD compared with other antipsychotics. The third column in the series will review the systematic clinical trial data and "real-world" data on TD and the use of aripiprazole as adjunctive treatment with antidepressants for major depressive disorder to see whether these data support the conclusion of a low to nonexistent relationship between aripiprazole treatment and the development of TD. The fourth and final column in the series will consider the type of study that would need to be performed to avoid a specific class warning, focusing on the TD class warning as an example and discussing why such studies are rarely done.

Pharmacokinetics of metoprolol during pregnancy and lactation

The objective of this study was to evaluate the steady-state pharmacokinetics of metoprolol during pregnancy and lactation. Serial plasma, urine, and breast milk concentrations of metoprolol and its metabolite, α-hydroxymetoprolol, were measured over 1 dosing interval in women treated with metoprolol (25-750 mg/day) during early pregnancy (n = 4), mid-pregnancy (n = 14), and late pregnancy (n = 15), as well as postpartum (n = 9) with (n = 4) and without (n = 5) lactation. Subjects were genotyped for CYP2D6 loss-of-function allelic variants. Using paired analysis, mean metoprolol apparent oral clearance was significantly higher in mid-pregnancy (361 ± 223 L/h, n = 5, P < .05) and late pregnancy (568 ± 273 L/h, n = 8, P < .05) compared with ≥3 months postpartum (200 ± 131 and 192 ± 98 L/h, respectively). When the comparison was limited to extensive metabolizers (EMs), metoprolol apparent oral clearance was significantly higher during both mid- and late pregnancy (P < .05). Relative infant exposure to metoprolol through breast milk was <1.0% of maternal weight-adjusted dose (n = 3). Because of the large, pregnancy-induced changes in metoprolol pharmacokinetics, if inadequate clinical responses are encountered, clinicians who prescribe metoprolol during pregnancy should be prepared to make aggressive changes in dosage (dose and frequency) or consider using an alternate beta-blocker.

Prediction of individual response to antidepressants and antipsychotics: an integrated concept

In both clinical trials and daily practice, there can be substantial inter- and even intraindividual variability in response--whether beneficial or adverse--to antidepressants and antipsychotic medications. So far, no tools have become available to predict the outcome of these treatments in specific patients. This is because the causes of such variability are often not known, and when they are, there is no way of predicting the effects of their various potential combinations in an individual. Given this background, this paper presents a conceptual framework for understanding known factors and their combinations so that eventually clinicians can better predict what medication(s) to select and at what dose they can optimize the outcome for a given individual. This framework is flexible enough to be readily adaptable as new information becomes available. The causes of variation in patient response are grouped into four categories: (i) genetics; (ii) age; (iii) disease; and (iv) environment (internal). Four cases of increasing complexity are used to illustrate the applicability of this framework in a clinically relevant way In addition, this paper reviews tools that the clinician can use to assess for and quantify such inter- and intraindividual variability. With the information gained, treatment can be adjusted to compensate for such variability, in order to optimize outcome. Finally, the limitations of existing antidepressant and antipsychotic therapy and the way they reduce current ability to predict response is discussed.

Antidepressant treatment and altered CYP2D6 activity: are pharmacokinetic variations clinically relevant?

BACKGROUND

Many currently used antidepressants are substrates of the cytochrome P450 (CYP) 2D6 enzyme. In patients who experience variations in the activity of this enzyme (e.g., CYP2D6 poor and ultrarapid metabolizers [PMs and UMs]), whether caused by genetic polymorphisms or concomitant administration of a CYP2D6 inhibitor (i.e., phenoconversion), the pharmacokinetics, and hence the effects, of CYP2D6 substrate antidepressants can be altered.

METHODS

This literature review describes the clinical and empirical evidence indicating that alterations in CYP2D6 activity can negatively affect treatment outcomes in patients receiving antidepressant pharmacotherapies that are CYP2D6 substrates.

RESULTS

Based on results from a small, prospective trial, a population analysis, and a pooled analysis, CYP2D6 PMs treated with agents dependent on CYP2D6 metabolism to form an active metabolite can experience a decline in antidepressant effect. Based on a population analysis and two case studies, CYP2D6 UMs treated with antidepressants that are CYP2D6 substrates and administered in a pharmacologically active form do not experience an antidepressant effect due to the agent being too rapidly eliminated from the body. Conversely, based on prospective trials, population analyses, and case studies, phenotypic and phenoconverted CYP2D6 PMs can experience an increase in concentration-dependent adverse events due to the agent being eliminated too slowly from the body.

CONCLUSIONS

Despite these examples, few large-scale, prospective trials exploring the effect of altered CYP2D6 metabolism on antidepressant outcomes have been conducted. Future clinical trials of CYP2D6-dependent antidepressants should be designed to allow for stratification of treatment outcomes by CYP2D6 metabolizer status.

Once-daily trospium chloride 60 mg extended release in subjects with overactive bladder syndrome who use multiple concomitant medications: Post hoc analysis of pooled data from two randomized, placebo-controlled trials

BACKGROUND

Overactive bladder syndrome (OAB) is associated with various co-morbidities; treatment of these frequently results in multiple medication use (MMU) and the potential for drug-drug interactions, which may lead to adverse events and altered efficacy. With the aging population, the prevalence of MMU is likely to increase in the overall population, an increase due in part to treatment of co-morbidities that are more common in the elderly.

OBJECTIVE

To assess safety and efficacy outcomes with once-daily trospium chloride 60 mg extended release (XR) in subjects with OAB who were taking multiple concomitant medications.

STUDY DESIGN

Post hoc analysis of pooled data from two 12-week randomized, placebo-controlled studies.

SETTING

Urology, urogynaecology, and primary care offices/clinics.

PATIENTS

Subjects aged ≥18 years with OAB for ≥6 months who had baseline urinary frequency of ≥30 toilet voids/3 days; ≥1 'severe' urgency severity rating/3 days (on the Indevus Urgency Severity Scale); and pure urge urinary incontinence (UUI) or mixed incontinence with predominant UUI, with ≥3 UUI episodes/3 days. This analysis utilized data from subjects taking concomitant medications, focusing on those taking seven or more.

INTERVENTION

Once-daily trospium chloride 60 mg XR or placebo.

MAIN OUTCOME MEASURE

Predictors of treatment-emergent adverse events (TEAEs) identified by multivariate logistic regression analysis.

RESULTS

Concomitant medications were being taken by 1135 subjects (placebo, n = 576; trospium chloride XR, n = 559); 427 were taking seven or more (placebo, n = 199; trospium XR, n = 228). Among subjects taking seven or more concomitant medications, there was no significant difference between trospium chloride XR and placebo in the proportion of subjects experiencing one or more TEAEs (64.5% vs 58.3%). Logistic regression analysis indicated that the odds of experiencing a TEAE were influenced by concomitant medication use, but not by randomization assignment to trospium chloride XR or to placebo, suggesting that concomitant drugs contribute more to TEAEs than trospium chloride XR. Compared with subjects taking one to two concomitant medications, the adjusted odds ratio (OR) for experiencing any TEAE was 3.39 (95% CI 2.39, 4.80; p < 0.0001) for subjects taking seven or more concomitant medications. The adjusted OR for experiencing any TEAE for subjects randomized to active treatment compared with placebo was 1.19 (95% CI 0.85, 1.67; p = 0.31). Efficacy in subjects taking seven or more concomitant medications was similar to that in the overall pooled study population.

CONCLUSIONS

Trospium chloride XR does not increase the likelihood of a TEAE compared with placebo. The probability of experiencing a TEAE was significantly influenced by use of multiple concomitant medications. Trospium chloride XR was as effective in subjects with OAB taking seven or more concomitant medications as in the overall pooled study population. The data support the conclusion that trospium chloride XR is safe and effective in patients with OAB taking multiple concomitant medications.

Probing small-molecule binding to cytochrome P450 2D6 and 2C9: An in silico protocol for generating toxicity alerts

Drug metabolism, toxicity, and their interaction profiles are major issues in the drug-discovery and lead-optimization processes. The cytochromes P450 (CYPs) 2D6 and 2C9 are enzymes involved in the oxidative metabolism of a majority of marketed drugs. Therefore, the prediction of the binding affinity towards CYP2D6 and CYP2C9 would be beneficial for identifying cytochrome-mediated adverse effects triggered by drugs or chemicals (e.g., toxic reactions, drug-drug, and food-drug interactions). By identifying the binding mode by using pharmacophore prealignment, automated flexible docking, and by quantifying the binding affinity by multidimensional QSAR (mQSAR), we validated a model family of 56 compounds (46 training, 10 test) and 85 compounds (68 training, 17 test) for CYP2D6 and CYP2C9, respectively. The correlation with the experimental data (cross-validated r²=0.811 for CYP2D6 and 0.687 for CYP2C9) suggests that our approach is suited for predicting the binding affinity of compounds towards CYP2D6 and CYP2C9. The models were challenged by Y-scrambling and by testing an external dataset of binding compounds (15 compounds for CYP2D6 and 40 for CYP2C9). To assess the probability of false-positive predictions, datasets of nonbinders (64 compounds for CYP2D6 and 56 for CYP2C9) were tested by using the same protocol. The two validated mQSAR models were subsequently added to the VirtualToxLab (VTL, http://www.virtualtoxlab.org).

Psychiatric pharmacogenomic testing in clinical practice

The clinical adoption of psychiatric pharmacogenomic testing has taken place rapidly over the past 7 years. Initially, drug-metabolizing enzyme genes, such as the cytochrome P 4 5 0 2D6 gene (CYP2D6), were identified. Genotyping the highly variable cytochrome P 4 5 0 2D6 gene now provides clinicians with the opportunity to identify both poor metabolizers and ultrarapid metabolizers of 2D6 substrate medications. Subsequently, genes influencing the pharmacodynamic response of medications have been made available for clinical practice. Among the earliest “target genes” was the serotonin transporter gene (SLC6A4) which has variants that have been shown to influence the clinical response of patients of European ancestry when they are treated with selective serotonin reuptake inhibitors. Genotyping of some of the serotonin receptor genes is also available to guide clinical practice. The quantification of the clinical utility of pharmacogenomic testing is evolving, and ethical considerations for testing have been established. Given the increasingly clear cost-effectiveness of genotyping, it has recently been predicted that pharmacogenomic testing will routinely be ordered to guide the selection and dosing of psychotropic medications.

Patients who do not respond to the "usual" dose: why Terry fell off the dose-response curve

Clinical trials are aimed at determining what happens in the "usual" patient; however, clinicians are interested in what happens in their patients even if they are not usual. The usual dose-response relationship is determined as part of the drug development process required for approval of a new drug. However, clinicians are likely to encounter patients who "fall off" the usual dose-response curve because they are either sensitive or resistant to the beneficial (efficacy) or adverse effects of a drug. This column is the first in a series that will examine why specific patients fall off the usual dose-response curve and how clinicians can manage such patients when they encounter them. This column discusses what a dose-response curve is, how it is determined, and why it is clinically important.

Review of Duloxetine and Venlafaxine in Depression

Objectives:

To compare the efficacy and pharmacologic, pharmacokinetic, drug interaction and adverse effect profiles of duloxetine and venlafaxine.

Methods:

A systematic review of the literature pertaining to duloxetine and venlafaxine was conducted using a computer-aided search of MEDLINE and EMBASE for the period January 1988 to May 2008 with the following search terms: venlafaxine and duloxetine and depression, clinical studies, pharmacology, drug interactions, pharmacokinetics, adverse effects, safety, case reports and review articles.

Results:

Duloxetine and venlafaxine have comparable efficacy and share similar pharmacologic profiles but differ somewhat in their pharmacokinetic profiles, drug interactions and adverse effects. Both agents block the reuptake of serotonin and norepinephrine and both are substrates for the cytochrome P450 2D6 isoenzyme; however, duloxetine inhibits these enzymes to a moderate extent, whereas venlafaxine is only a weak inhibitor. Furthermore, duloxetine is more extensively bound to protein than venlafaxine. Venlafaxine is more likely to elevate blood pressure in a dose-related manner. Both duloxetine and venlafaxine have the potential to cause hepatic injury.

Conclusions:

Although venlafaxine and duloxetine have similar efficacy in the treatment of depression, differences in their adverse effects and pharmacokinetic profiles suggest that one agent may be preferred over the other in certain patient groups.

Effect of desvenlafaxine on the cytochrome P450 2D6 enzyme system

BACKGROUND

The cytochrome P450 2D6 (CYP2D6) enzyme is responsible for metabolizing approximately 25% of pharmaceutical agents. Individuals with impaired CYP2D6 metabolism and those concomitantly receiving agents that inhibit CYP2D6 can have variations in concentrations of such medications and their metabolites.

METHODS

Five studies assessing the interaction between desvenlafaxine and CYP2D6 are reviewed. Study 1 compared desvenlafaxine area under the plasma concentration-versus-time curve (AUC) in CYP2D6 extensive metabolizers (EMs) and poor metabolizers (PMs) after administration of 100 mg of desvenlafaxine or 75 mg of venlafaxine extended release (ER). Studies 2 to 5 assessed the effect of concomitant administration of desvenlafaxine 100 mg (studies 2, 4, and 5) or 400 mg (study 3), paroxetine (20 mg, study 4), and duloxetine (30 mg twice daily; study 5) on the CYP2D6 probe desipramine.

RESULTS

In study 1, there was no significant difference in mean desvenlafaxine AUC between the CYP2D6 EMs and PMs (-11%; P=0.641) who were administered desvenlafaxine. However, PMs receiving venlafaxine ER had significantly higher venlafaxine and lower desvenlafaxine AUCs compared with EMs (+350% and -74%, respectively; P<0.001 for each). In studies 2, 4, and 5, the mean increases in desipramine AUC with concomitant administration of desvenlafaxine 100 mg ranged from 17% to 36%; the increase with concomitant administration of desvenlafaxine 400 mg (study 3) was 90%. Paroxetine and duloxetine produced increases in mean desipramine AUC of 419% and 122%, respectively, which were significantly greater than the increases seen with desvenlafaxine 100 mg (P<0.001 for each comparison).

CONCLUSIONS

Based on the findings presented here, desvenlafaxine is expected to have a low risk for variability in efficacy and safety/tolerability resulting from CYP2D6 polymorphisms or drug-drug interactions when coadministered with CYP2D6 substrates or inhibitors.

An assessment of drug-drug interactions: the effect of desvenlafaxine and duloxetine on the pharmacokinetics of the CYP2D6 probe desipramine in healthy subjects

A number of antidepressants inhibit the activity of the cytochrome P450 2D6 enzyme system, which can lead to drug-drug interactions. Based on its metabolic profile, desvenlafaxine, administered as desvenlafaxine succinate, a new serotonin-norepinephrine reuptake inhibitor, is not expected to have an impact on activity of CYP2D6. This single-center, randomized, open-label, four-period, crossover study was undertaken to evaluate the effect of multiple doses of desvenlafaxine (100 mg/day, twice the recommended therapeutic dose for major depressive disorder in the United States) and duloxetine (30 mg b.i.d.) on the pharmacokinetics (PK) of a single dose of desipramine (50 mg). A single dose of desipramine was given first to assess its PK. Desvenlafaxine or duloxetine was then administered, in a crossover design, so that steady-state levels were achieved; a single dose of desipramine was then coadministered. The geometric least-square mean ratios (coadministration versus desipramine alone) for area under the plasma concentration versus time curve (AUC) and peak plasma concentrations (C(max)) of desipramine and 2-hydroxydesipramine were compared using analysis of variance. Relative to desipramine alone, increases in AUC and C(max) of desipramine associated with duloxetine administration (122 and 63%, respectively) were significantly greater than those associated with desvenlafaxine (22 and 19%, respectively; P < 0.001). Duloxetine coadministered with desipramine was also associated with a decrease in 2-hydroxydesipramine C(max) that was significant compared with the small increase seen with desvenlafaxine and desipramine (-24 versus 9%; P < 0.001); the difference between changes in 2-hydroxydesipramine AUC did not reach statistical significance (P = 0.054). Overall, desvenlafaxine had a minimal impact on the PK of desipramine compared with duloxetine, suggesting a lower risk for CYP2D6-mediated drug interactions.

Tricyclic antidepressant pharmacology and therapeutic drug interactions updated

New data on the pharmacology of tricyclic antidepressants (TCAs), their affinities for human cloned CNS receptors and their cytochrome P450 enzyme inhibition profiles, allow improved deductions concerning their effects and interactions and indicate which of the TCAs are the most useful. The relative toxicity of TCAs continues to be more precisely defined, as do TCA interactions with selective serotonin reuptake inhibitors (SSRIs). TCA interactions with monoamine oxidase inhibitors (MAOIs) have been, historically, an uncertain and difficult question, but are now well understood, although this is not reflected in the literature. The data indicate that nortriptyline and desipramine have the most pharmacologically desirable characteristics as noradrenaline reuptake inhibitors (NRIs), and as drugs with few interactions that are also safe when coadministered with either MAOIs or SSRIs. Clomipramine is the only available antidepressant drug that has good evidence of clinically relevant serotonin and noradrenaline reuptake inhibition (SNRI). These data assist drug selection for monotherapy and combination therapy and predict reliably how and why pharmacodynamic and pharmacokinetic interactions occur. In comparison, two newer drugs proposed to have SNRI properties, duloxetine and venlafaxine, may have insufficient NRI potency to be effective SNRIs. Combinations such as sertraline and nortriptyline may therefore offer advantages over drugs like venlafaxine that have fixed ratios of SRI/NRI effects that are not ideal. However, no TCA/SSRI combination is sufficiently safe to be universally applicable without expert knowledge. Standard texts (e.g. the British National Formulary) and treatment guidelines would benefit by taking account of these new data and understandings.

Polypharmacy: when is it rational?

In this article, the authors discuss when it makes sense to consider using more than one medication to treat a single condition. They give a brief history of the use of polypharmacy in psychiatry and discuss how new discoveries in psychotropic drug development are making polypharmacy an increasingly important topic today. The authors then present a list of 10 criteria to guide the rational use of psychotropic polypharmacy and explain each in detail with examples drawn from clinical practice.

Comparison of duloxetine, escitalopram, and sertraline effects on cytochrome P450 2D6 function in healthy volunteers

This study is the first to directly compare the relative effects of duloxetine, escitalopram, and sertraline on the functional activity of the drug-metabolizing cytochrome P450 2D6 enzyme as assessed by changes in the pharmacokinetics of the cytochrome P450 2D6 model substrate drug, metoprolol. Single-dose pharmacokinetics of metoprolol were measured before and after 17 days of treatment with escitalopram 20 mg/d, duloxetine 60 mg/d, or sertraline 100 mg/d in young healthy male and female participants. The outcome measures were changes in metoprolol peak plasma levels, area under the plasma concentration-time curve, and clearance. The results were tested using paired t tests and independent t tests. The addition of each drug produced statistically significant changes in metoprolol pharmacokinetics. The rank order for the change in metoprolol area under the plasma concentration-time curve was duloxetine (180%) > escitalopram (89%) > sertraline (48% and 67%). Compared with sertraline, duloxetine produced statistically significantly larger changes in metoprolol pharmacokinetic parameters. The changes produced by escitalopram and sertraline were not statistically different.