Lawrence J. Albers

Treatment-resistance to Clozapine in Association With Ultrarapid Cyp1a2 Activity and the C → A Polymorphism in Intron 1 of the cyp1a2 Gene: Effect of Grapefruit Juice and Low-dose Fluvoxamine

Antipsychotic response to clozapine varies markedly among patients with schizophrenia. The disposition of clozapine is dependent, in part, on the cytochrome P-450 (CYP) 1A2 enzyme in vivo. In theory, a very high CYP1A2 activity may lead to subtherapeutic concentrations and treatment resistance to clozapine. This prospective case study evaluates the clinical significance of ultrarapid CYP1A2 activity and a recently discovered single nucleotide (C → A) polymorphism in intron 1 of the CYP1A2 gene (CYP1A2*F) for treatment resistance to clozapine. In addition, we describe the effect of grapefruit juice or low-dose fluvoxamine (25–50 mg/d) coadministration on clozapine and active metabolite norclozapine steady-state plasma concentration and antipsychotic response.

CYP1A2 activity as measured by a caffeine test predicts clozapine and active metabolite norclozapine steady-state concentration in patients with schizophrenia

Clozapine is an atypical antipsychotic drug and displays efficacy in 30% to 60% of patients with schizophrenia who do not respond to traditional antipsychotics. A clozapine concentration greater than 1,150 nmol/L increases the probability of antipsychotic efficacy. However, plasma clozapine concentration can vary more than 45-fold during long-term treatment. The aim of this study was to assess the contribution of CYP1A2 to variability in steady-state concentration of clozapine and its active metabolite norclozapine. Patients with schizo-phrenia or schizoaffective disorder were prospectively monitored during clozapine treatment (N = 18). The in vivo CYP1A2 activity was measured using the caffeine metabolic ratio (CMR) in overnight urine. Trough plasma samples were drawn after at least 5 days of treatment with a constant regimen of clozapine. A significant negative association was found between the CMR and the dose-corrected clozapine (r s = −0.87, p < 0.01) and norclozapine (r s = −0.76, p < 0.01) concentrations. Nonsmokers displayed a higher clozapine (3.2-fold) and norclozapine (2.3-fold) concentration than smokers (p < 0.05). Furthermore, there was marked person-to-person variation in CYP1A2 activity during multiple-dose clozapine treatment (coefficient of variation = 60%). Age, weight, serum creatinine, and grapefruit juice consumption did not significantly contribute to variability in clozapine and norclozapine concentration (p > 0.05). In conclusion, CYP1A2 is one of the important contributors to disposition of clozapine during multiple-dose treatment. Although further in vitro experiments are necessary, the precise metabolic pathways catalyzed by CYP1A2 seem to be subsequent to the formation of norclozapine, hitherto less recognized quantitatively important alternate disposition routes, or both. From a clinical perspective, an environmentally induced or constitutively high CYP1A2 expression can lead to a decrease in steady-state concentration of clozapine as well as its active metabolite norclozapine. Thus, interindividual variability in CYP1A2 activity may potentially explain treatment resistance to clozapine in some patients. CYP1A2 phenotyping with a simple caffeine test may contribute to individualization of clozapine dosage and differentiate between treat ment noncompliance and high CYP1A2 activity.

Second-generation antipsychotic exposure and metabolic-related disorders in patients with schizophrenia : An observational pharmacoepidemiology study from 1988 to 2002

Patients with schizophrenia are at increased risk for cardiovascular disease as a consequence of lifestyle habits, impaired access to health care, and, increasingly, due to metabolic side effects ostensibly attributed to second-generation antipsychotics (SGAs). There is little evidence, however, on the extent and temporal patterns of SGA-associated metabolic side effects. We longitudinally examined the differential prevalence rates of obesity, diabetes mellitus, and diabetic ketoacidosis among inpatients with schizophrenia compared with control inpatients without schizophrenia. The data were derived from the National Inpatient Sample, the largest all-payer inpatient care database in the United States consisting of 5 to 8 million inpatient hospital stays per year sampled to approximate a 20% sample of community hospitals from 1988 to 2002. Overlaid on these observations was the market penetration data for SGAs. In 1988, the net difference from controls in obesity prevalence among inpatients with schizophrenia was +4.7%; by 2002, this difference had widened to +14.7%. Similarly, a significant increase in net prevalence of diabetes mellitus and diabetic ketoacidosis was observed from 1988 to 2002 among schizophrenic inpatients. In conclusion, after the introduction of SGAs, patients with schizophrenia in the United States have experienced a striking net increase in the prevalence of obesity and diabetes mellitus. This is likely to significantly add to an already elevated risk for cardiovascular disease in this population. Further investigations are urgently required so that health policy can be appropriately amended for preventive measures.

Rapid determination of venlafaxine and O-desmethylvenlafaxine in human plasma by high-performance liquid chromatography with fluorimetric detection

A rapid and sensitive high-performance liquid chromatographic technique for simultaneous measurement of plasma venlafaxine (VEN) and its active metabolite O-desmethylvenlafaxine (ODV) is described. The process begins with the extraction of VEN and ODV, with maprotiline (MAP) as internal standard, from human plasma into an intermediate organic mixture of hexane-isoamyl alcohol and finally into an aqueous solution of 0.05% phosphoric acid. Isocratic separation of VEN, ODV and MAP is carried out by utilizing a reversed-phase butyl-bonded column (C4/E) with mobile phase consisting of acetonitrile and 40 mM phosphate buffer, pH 6.8 (50:50, v/v). Detection of VEN, ODV and MAP is done by mean of fluorimetry with excitation and emission wavelengths set at 276 and 598 nm, respectively. As low as 1.0 ng/ml VEN is detectable; while the limit of detection for ODV is 5 ng/ml. C.V. (%) of intra-day samples for both VEN and ODV are less than 10% at three concentrations tested (10.0, 50.0, 100.0 ng/ml). Similarly, over the same nominal concentrations, the precision of inter-day (5 days) samples also results in C.V. (%) smaller than 10% for both compounds, except for ODV measured at 10 ng/ml (C.V.<15%). Approximately, 100% VEN can be extracted from plasma; whereas, for ODV the recovery rate is nearly 70%. This present method is rapid, sensitive, accurate and simple for routine clinical monitoring of plasma VEN and its major metabolite ODV.

Serotonin indices and impulsivity in normal volunteers

Hormonal responses to oral paroxetine were examined in a group of healthy subjects. The calcium response to serotonin (5-hydroxytryptamine, 5HT), mediated by platelet 5HT2A, was also measured. Paroxetine elicited a cortisol response that was directly correlated with the magnitude of platelet calcium response. The cortisol response was also correlated with the trait of impulsivity. These results suggest that paroxetine may be a useful probe in studies of serotonergic systems.

Paroxetine shifts imipramine metabolism

The combination of selective serotonin reuptake inhibitors with tricyclic antidepressants has proven useful in treatment-resistant depression but has the potential for adverse drug-drug interactions. In the present study, the metabolism of a single dose of imipramine was studied before and after treatment with paroxetine. Paroxetine induced significant elevations of approximately 50% in half-life, area under the curve, and Cmax of imipramine and decreased clearance twofold. The effects on desipramine pharmacokinetics were even more pronounced. These findings indicate a significant interaction of paroxetine with the CYP2D6 isoenzyme.

Pharmacogenomic-Guided Rational Therapeutic Drug Monitoring: Conceptual Framework and Application Platforms for Atypical Antipsychotics

Atypical antipsychotic agents such as aripiprazole, clozapine, olanzapine, quetiapine and ziprasidone offer many advantages over conventional neuroleptics. These agents reduce negative symptoms of schizophrenia, are effective in treatment refractory cases, and have a markedly lower incidence of extrapyramidal symptoms and tardive dyskinesia. However, there is considerable patient-to-patient variability in therapeutic dose requirements of atypical antipsychotics and the propensity for side effects. Hence, the initial excitement since the introduction of atypical antipsychotics in late 1980s is now shifting towards a focus on individualization of pharmacotherapy and elucidation of the mechanistic basis of interindividual variability in drug response with use of pharmacokinetic and pharmacodynamic biomarkers. Pharmacogenomics, introduced in late 1990s, is the study of variability in drug response using information from the entire genome of a given individual patient. Both pharmacogenomics and conventional therapeutic drug monitoring (TDM) share the similar goal of improving pharmacotherapy through better explanation of individual variability in drug response. Hence, pharmacogenomic biomarkers offer a unique opportunity to complement and expand the scope of traditional TDM in clinical psychopharmacology. Importantly, pharmacogenomics enables the investigation of factors distal to drug exposure in the plasma compartment (e.g. drug targets at the biophase), thereby providing a more complete portrayal of sources of variability in psychotropic drug response. We discuss (1). the definitions for biomarkers and surrogate endpoints in the context of pharmacogenomics, (2). genetic variations in isozyme-specific atypical antipsychotic metabolism in vivo, (3). selected examples of pharmacogenomic variability in pertinent drug targets and, (4). the anticipated roadmap from implementation of pharmacogenomics to changes in healthcare and therapeutic policy. In addition, a conceptual framework that outlines the theoretical advantages of pharmacogenomics-guided TDM is presented using recent clinical applications as precedence.

Pharmacogenetics for off-patent antipsychotics: reframing the risk for tardive dyskinesia and access to essential medicines

First-generation antipsychotics (FGAs) induce tardive dyskinesia, a debilitating involuntary hyperkinetic movement disorder, in 20 – 50% of individuals with a psychotic illness during chronic treatment. There is presently no curative treatment or definitive predictive test for tardive dyskinesia. The authors note that the three antipsychotic drugs enlisted in the most recent (14th) World Health Organization Model List of Essential Medicines – chlorpromazine, fluphenazine and haloperidol – belong to the FGA therapeutic class. In this regard, the need to choose between the competing objectives of ensuring global access to affordable and efficacious medicines, such as FGAs, and the formidable long-term risk for tardive dyskinesia, may create an ethical conundrum. Pharmacogenetics has thus far been conceptually framed as a tool to individualise therapy with new drugs under patent protection. However, the authors suggest that pharmacogenetics may also improve access to pharmacotherapy through the reintroduction of affordable second-line generic drugs or FGAs with suboptimal safety, as first-line therapy, in targeted subpopulations in whom they present a lower risk for tardive dyskinesia. To impact positively on global public health and distributive justice, a directory complementary to the essential medicines library – one that enlists the ‘essential biomarkers’ required for optimal pharmacotherapy – may benefit patients who do not have adequate access to new antipsychotic medications. This review discusses pharmacogenetic associations of tardive dyskinesia that are in part supported by meta-analyses and the oxidative stress-neuronal degeneration hypothesis.

Effect of venlafaxine on imipramine metabolism.

The present study was designed to determine the effect of venlafaxine on imipramine metabolism in an attempt to elucidate the potential for cytochrome P450 drug-drug interactions with venlafaxine. We examined the metabolism of a single 100-mg dose of imipramine before and after treatment with venlafaxine, 50 mg three times a day. Eight male subjects were phenotyped for CYP2D6 activity. Two subjects were poor metabolizers of dextromethophan, and data from the remaining six subjects (mean age=45.3+/-15) were analyzed. Venlafaxine increased imipramine C(max) and elevated AUC by 40%. Desipramine clearance and volume of distribution were reduced by 20% and 25%, respectively. These findings are consistent with a statistically significant, but clinically modest impact of venlafaxine on CYP2D6-metabolized substrates.

CYP2D6 genotype in relation to perphenazine concentration and pituitary pharmacodynamic tissue sensitivity in Asians: CYP2D6-serotonin-dopamine crosstalk revisited

Objectives Hyperprolactinemia is a common side effect of first-generation antipsychotics mediated by antagonism of dopaminergic neurotransmission in the pituitary. Most first-generation antipsychotics are metabolized by CYP2D6 in the liver. Further, CYP2D6 is expressed in the human brain as a 5-methoxyindolethylamine O-demethylase potentially contributing to regeneration of serotonin from 5-methoxytryptamine. As dopaminergic neurotransmission is subject to regulation by serotonin, CYP2D6 may exert a nuanced (serotonergic) influence on dopaminergic tone in the pituitary. CYP2D6*10 is an allele associated with reduced enzyme function and occurs in high frequency (about 50%) in Asians. We prospectively evaluated significance of CYP2D6 genetic variation for prolactin response to perphenazine (a model first-generation antipsychotic) in Asians. Methods A single oral dose of perphenazine (0.1 mg/kg) or placebo was administered to 22 medication-free nonsmoker healthy male Chinese–Canadian volunteers, following a double-blind within-subject randomized design. Blood samples were drawn at baseline and 2, 3, 4, 5 and 6 h after drug administration. Results In volunteers with CYP2D6*10/CYP2D6*10 genotype, the mean area under curve (AUC0−6) for perphenazine concentration was 2.9-fold higher than those who carry the CYP2D6*1 allele (P<0.01). Notably, volunteers homozygous for CYP2D6*10 exhibited a significant reduction (66%) in mean pharmacodynamic tissue sensitivity as measured by the (prolactin-AUC0−6/perphenazine-AUC0−6) ratio (P=0.02). Conclusions CYP2D6 genotype is a significant contributor to perphenazine concentration in Chinese–Canadians. Importantly, prolactin response, when normalized per unit perphenazine concentration, appears to be blunted in volunteers homozygous for CYP2D6*10. We suggest that CYP2D6 genetic variation may potentially influence pharmacodynamic tissue sensitivity in the pituitary, presumably through disposition of an endogenous substrate (e.g. 5-methoxytryptamine).