Molecular genetics of CYP2D6: clinical relevance with focus on psychotropic drugs

Assessment of chimeric mice with humanized liver as a tool for predicting circulating human metabolites

The ability to predict circulating human metabolites of a candidate drug before first-in-man studies are carried out would provide a clear advantage in drug development. A recent report demonstrated that while in vitro studies using human liver preparations reliably predict primary human metabolites in plasma, the predictability of secondary metabolites, formed by multiple reactions, was low, with total success rates of < or =65%. Here, we assess the use of chimeric mice with humanized liver as an animal model for the prediction of human metabolism in vivo. Metabolism studies with debrisoquine and (S)-warfarin demonstrated significantly higher concentrations of their primary human abundant metabolites in serum or plasma in chimeric mice than in control mice. Humanized chimeric mice were also capable of producing human-specific metabolites of several in-house compounds which were generated through more than one metabolism reaction. This model is closer to in vivo human physiology and therefore appears to have an advantage over in vitro systems in predicting complex metabolites in human plasma. However, prediction of human metabolites failed for other compounds which were highly metabolized in mice. Although requiring careful consideration of compound suitability, this model represents a potential tool for predicting human metabolites in combination with conventional in vitro systems.

Effects of CYP2D6 genotype on the pharmacokinetics, pharmacodynamics, and safety of risperidone in healthy volunteers

The objective of this study was to analyze the relationship between CYP2D6 genotype and pharmacokinetics and pharmacodynamics of risperidone. Seventy-one healthy volunteers (36 women and 35 men) received a 1-mg single oral dose of risperidone. Six major CYP2D6 polymorphisms (CYP2D6*3, *4, *5, *6, *7, and *9) and the duplication were detected. Subjects were classified into 4 phenotypic groups: 6 ultrarapid (UMs), 34 extensive (EMs), 25 intermediate (IMs), and 6 poor metabolizers (PMs). There was a clear relationship between the number of active alleles and the pharmacokinetic parameters for risperidone and 9-hydroxyrisperidone, but there were no differences for total active moiety. Area under the curve and half-life of risperidone were significantly higher in PMs and IMs compared with EMs and UMs, which showed higher area under the curve of 9-hydroxyrisperidone. Risperidone produced a small decrease in blood pressure, a mild increase in QTc and a quick increase in prolactin, without significant differences between groups. Surprisingly, the incidence of adverse reactions was lower in PMs (50%) than in other subjects (78%). In conclusion, metabolism of risperidone depends on the number of active CYP2D6 alleles. So, PM subjects show higher concentrations of risperidone and very low concentrations of 9-hydroxyrisperidone. On the contrary, EM and UM subjects show low concentrations of risperidone and high concentrations of 9-hydroxyrisperidone. However, no major pharmacodynamic differences are observed between CYP2D6 genotypes, presumably because of the similar pharmacological activity of parent drug and metabolite.

Safe and effective medicines for all: is personalized medicine the answer?

An improvement in drug treatment and clinical outcome is one of the major challenges in clinical medicine. The development of evidence-based standards of care has led to a significant improvement, but, by definition, strictly standardized cohorts in clinical trials have to ignore individual differences. Personalized medicine is defined as the application of genomic and molecular data to better target the delivery of healthcare, facilitate the discovery and clinical testing of new products, and help determine a person's predisposition to a particular disease or condition. After the deciphering of the human genome, however, the high expectations in individualized medicine were not always fulfilled. However, personalized medicine has become indispensable in the treatment of malignant diseases and there is increasing evidence for its benefit in other areas. This article outlines the impact of pharmacogenetics and pharmacogenomics, especially with regard to personalized medicine, in major medical indications and reflects the obstacles and chances taken in current daily practice.

Pharmacogenetic testing and therapeutic drug monitoring are complementary tools for optimal individualization of drug therapy

Genetic factors contribute to the phenotype of drug response, but the translation of pharmacogenetic outcomes into drug discovery, drug development or clinical practice has proved to be surprisingly disappointing. Despite significant progress in pharmacogenetic research, only a few drugs, such as cetuximab, dasatinib, maraviroc and trastuzumab, require a pharmacogenetic test before being prescribed. There are several gaps that limit the application of pharmacogenetics based upon the complex nature of the drug response itself. First, pharmacogenetic tests could be more clinically applicable if they included a comprehensive survey of variation in the human genome and took into account the multigenic nature of many phenotypes of drug disposition and response. Unfortunately, much of the existing research in this area has been hampered by limitations in study designs and the nonoptimal selection of gene variants. Secondly, although responses to drugs can be influenced by the environment, only fragmentary information is currently available on how the interplay between genetics and environment affects drug response. Third, the use of a pharmacogenetic test as a standard of care for drug therapy has to overcome significant scientific, economic, commercial, political and educational barriers, among others, in order for clinically useful information to be effectively communicated to practitioners and patients. Meanwhile, the lack of efficacy is in this process is quite as costly as drug toxicity, especially for very expensive drugs, and there is a widespread need for clinically and commercially robust pharmacogenetic testing to be applied. In this complex scenario, therapeutic drug monitoring of parent drugs and/or metabolites, alone or combined with available pharmacogenetic tests, may be an alternative or complementary approach when attempts are made to individualize dosing regimen, maximize drug efficacy and enhance drug safety with certain drugs and populations (e.g. antidepressants in older people).

Nanopediatrics: enabling personalized medicine for children

The topic of the special series of reviews in this issue will be nanobiology and nanomedicine, with a focus on the impact of nanotechnology on children and their health; hence, the title of this collection and this introduction, Nanopediatrics: Enabling Personalized Medicine for Children. We will address what is meant when we discuss these nanodisciplines and why we developed a NanoPediatrics Program at University of California, Los Angeles. We will consider the implications of these nanodisciplines for individuals and society. The nature of research, diagnosis, and screening in nanomedicine and nanopediatrics will be illustrated by selected projects in nanodiagnostics and nanotherapeutics by our group and our collaborators, and the combined use of diagnostics and therapeutics in a single nanodevice referred to as "theranostics." We will conclude this introductory review with a summary of the reasons for developing the discipline of nanopediatrics.

Inborn Errors of Metabolism: the metabolome is our world. Presidential address for the 11th International Congress of Inborn Errors of Metabolism (ICIEM)

Thank you for honoring me by allowing me to serve as president of the 11th International Congress of Inborn Errors of Metabolism (ICIEM). The science brought by the IEM community to the Congress was quite impressive and demonstrated the quality of research within this community. In this address, I will consider briefly the history of IEMs to determine how we have arrived where we are, and will spend more time ascertaining our place in the current biomedical community and our role in determining the future of personalized medicine. In the 1950s-1970s new tools were added to expand our ability to interrogate the metabolome and the result was an explosive increase in the number of IEMs. This set the stage for expanded newborn screening (NBS) by tandem mass spectrometry (MS/MS) to identify these patients and to intervene pre-symptomatically. The complexity of the metabolome has led us to utilize the mathematical algorithms of systems biology to reduce high dimensionality data to low dimensionality output. However, the metabolome does not exist in isolation and we must learn how to integrate the metabolome with other xomics. The metabolome is our world and the IEM community has much to share with the broader xomics communities by integrating what we have learned with the other xomics communities. They are seeking access to the metabolome as a closer measure of phenotype, and we are already extremely comfortable and competent in the metabolomic space. But we should not be insular in our occupation of this space. NBS should be the model for personalized medicine, because it is already functioning as testing system for predictive, preventive and personalized care. We have been working in the area of NBS for nearly a half century and have many lessons learned that will be valuable to the practitioners of personalized medicine - lessons that they should not have to rediscover. We must embrace the international IEM community to meet population trends and to improve the care for individuals - children and adults - with IEMs. Demographic projections indicate the countries with largest population growth during the next four decades will be in Asia and we need to work collaboratively to build capacity in the IEM community in Asia and beyond to other underserved regions of the world.

Fluconazole-induced intoxication with phenytoin in a patient with ultra-high activity of CYP2C9

PURPOSE

The cytochrome P450 enzyme CYP2C9 metabolizes several important drugs, such as warfarin and oral antidiabetic drugs. The enzyme is polymorphic, and all known alleles, for example, CYP2C9*2 and*3, give decreased activity. Ultra-high activity of the enzyme has not yet been reported.

METHODS

We present a patient with Behçet's disease who required treatment with high doses of phenytoin. When fluconazole, a potent inhibitor of CYP2C9, was added to the treatment regimen, the patient developed ataxia, tremor, fatigue, slurred speech and somnolence, indicating phenytoin intoxication. On suspicion of ultra-high activity of CYP2C9, a phenotyping test for CYP2C9 with losartan was performed.

RESULTS

The patient was shown to have a higher activity of CYP2C9 than any of the 190 healthy Swedish Caucasians used as controls.

CONCLUSIONS

Our finding of an ultrarapid metabolism of losartan and phenytoin may apply to other CYP2C9 substrates, where inhibition of CYP2C9 may cause severe adverse drug reactions.

Using a homology model of cytochrome P450 2D6 to predict substrate site of metabolism

CYP2D6 is an important enzyme that is involved in first pass metabolism and is responsible for metabolizing ~25% of currently marketed drugs. A homology model of CYP2D6 was built using X-ray structures of ligand-bound CYP2C5 complexes as templates. This homology model was used in docking studies to rationalize and predict the site of metabolism of known CYP2D6 substrates. While the homology model was generally found to be in good agreement with the recently solved apo (ligand-free) X-ray structure of CYP2D6, significant differences between the structures were observed in the B' and F-G helical region. These structural differences are similar to those observed between ligand-free and ligand-bound structures of other CYPs and suggest that these conformational changes result from induced-fit adaptations upon ligand binding. By docking to the homology model using Glide, it was possible to identify the correct site of metabolism for a set of 16 CYP2D6 substrates 85% of the time when the 5 top scoring poses were examined. On the other hand, docking to the apo CYP2D6 X-ray structure led to a loss in accuracy in predicting the sites of metabolism for many of the CYP2D6 substrates considered in this study. These results demonstrate the importance of describing substrate-induced conformational changes that occur upon binding. The best results were obtained using Glide SP with van der Waals scaling set to 0.8 for both the receptor and ligand atoms. A discussion of putative binding modes that explain the distribution of metabolic sites for substrates, as well as a relationship between the number of metabolic sites and substrate size, are also presented. In addition, analysis of these binding modes enabled us to rationalize the typical hydroxylation and O-demethylation reactions catalyzed by CYP2D6 as well as the less common N-dealkylation.

Pharmacogenetics of antipsychotic-induced side effects

Currently available antipsychotic drugs (APDs) carry significant, though highly variable, liability to neurologic and metabolic side effects. Pharmacogenetics approaches offer the possibility of identifying patient-specific biomarkers for predicting risk of these side effects. To date, a few single nucleotide polymorphisms (SNPs) in a handful of genes have received convergent support across multiple studies. The primary focus has been on SNPs in dopamine and serotonin receptor genes: persuasive meta-analytic evidence exists for an effect of the dopamine D2 and D3 receptor genes (DRD2 and DRD3) in risk for tardr inesia (TD) and for an effect of variation at the receptor gene (HTR2C) for liability to APD-inducec gain. However, effect sizes appear to be modest, and pharmacoeconomic considerations have not been sufficiently studied, thereby limiting clinical applicability at this time. Effects of these genes and others on risk for TD, extrapyramidal side effects, hyperprolactinemia, and weight gain are revieved in this article.

The promise and reality of pharmacogenetics in psychiatry

Existing psychotropic medications for the treatment of mental illnesses, including antidepressants, mood stabilizers, and antipsychotics, are clinically suboptimal. They are effective in only a subset of patients or produce partial responses, and they are often associated with debilitating side effects that discourage adherence. There is growing enthusiasm in the promise of pharmacogenetics to personalize the use of these treatments to maximize their efficacy and tolerability; however, there is still a long way to go before this promise becomes a reality. This article reviews the progress that has been made in research toward understanding how genetic factors influence psychotropic drug responses and the challenges that lie ahead in translating the research findings into clinical practices that yield tangible benefits for patients with mental illnesses.

Frequency of five important CYP2D6 alleles within an Iranian population (Eastern Azerbaijan)

Polymorphisms in cytochrome P450 genes encoding enzymes of critical importance for drug metabolism have the highest genetic influence on interindividual variations in drug bioavailability. Human CYP2D6 enzyme is claimed to be polymorphically expressed among different ethnic groups. It has been suggested to account for a large part of the interindividual differences in drug metabolism and pharmacokinetics. In the current investigation, 100 healthy unrelated subjects living in Tabriz, Iran, were randomly selected. Genotyping was designed to determine the frequencies of five major and important alleles: CYP2D6*2, CYP2D6*4, CYP2D6*5, CYP2D6*10, and CYP2D6*17. After collecting venous blood samples, polymerase chain reaction-restriction fragment length polymorphism methodology was performed for detection of the alleles (except CYP2D6*5, which has been detected using an allele-specific polymerase chain reaction procedure). Finally, the obtained data were used to determine the allele frequencies. The frequencies for CYP2D6 alleles *2, *4, *5, and *10 were 32%, 12.5%, 3%, and 9%, respectively. CYP2D6*17 was completely absent in this study group. Poor metabolizer phenotype can be related to *4/*4 and *4/*5 genotypes with a total frequency of 4%. This is the first study of the CYP2D6 genetic polymorphism in an Iranian population. The frequencies of the studied alleles resulted in degrees of differences between this population and Orientals, Saudi Arabians, and Caucasians, while similarities to the reported results obtained from the studies among Mediterraneans and South Indians are noticeable.

Genetic polymorphism of metabolic enzymes P450 (CYP) as a susceptibility factor for drug response, toxicity, and cancer risk

The polymorphic P450 (CYP) enzyme superfamily is the most important system involved in the biotransformation of many endogenous and exogenous substances including drugs, toxins, and carcinogens. Genotyping for CYP polymorphisms provides important genetic information that help to understand the effects of xenobiotics on human body. For drug metabolism, the most important polymorphisms are those of the genes coding for CYP2C9, CYP2C19, CYP2D6, and CYP3A4/5, which can result in therapeutic failure or severe adverse reactions. Genes coding for CYP1A1, CYP1A2, CYP1B1, and CYP2E1 are among the most responsible for the biotransformation of chemicals, especially for the metabolic activation of pre-carcinogens. There is evidence of association between gene polymorphism and cancer susceptibility. Pathways of carcinogen metabolism are complex, and are mediated by activities of multiple genes, while single genes have a limited impact on cancer risk. Multigenic approach in addition to environmental determinants in large sample studies is crucial for a reliable evaluation of any moderate gene effect. This article brings a review of current knowledge on the relations between the polymorphisms of some CYPs and drug activity/toxicity and cancer risk.

Interaction of drug metabolizing cytochrome P450 2D6 poor metabolizers with cytochrome P450 2C9 and 2C19 genotypes modify the susceptibility to head and neck cancer and treatment response

The present case-control study attempted to investigate the association of poor metabolizer (PM) genotypes of cytochrome P450 2D6 (CYP2D6*4 and CYP2D6*10) with squamous cell carcinoma of head and neck (HNSCC) and treatment response in patients receiving chemotherapy or combination of chemo- and radiotherapy. Cases with the PM genotypes of CYP2D6 displayed a significantly increased risk for HNSCC as compared to wild type genotypes. The risk was found to further increase in cases (up to 4.8) carrying combination of PM genotypes of CYP2D6, CYP2C9 (CYP2C9*2) or CYP2C19 (CYP2C19*2), suggesting that synergism amongst the PM genotypes of drug metabolizing CYPs leads to impairment in the detoxification of the tobacco carcinogens. A small increase in the risk in tobacco (chewers or smokers) or alcohol users in cases with CYP2D6*4 allele while no change or even a small decrease in risk in cases with CYP2D6*10 allele when compared to non-tobacco or alcohol users have suggested that CYP2D6 genotypes alone do not appear to interact significantly with environmental risk factors in modifying the susceptibility to HNSCC. Furthermore, most of the cases carrying PM genotypes of CYP2D6 did not respond to the treatment. Moreover, higher prevalence of non-responders among cases carrying combination of CYP2D6*4 or CYP2D6*4, CYP2C9*2 and CYP2C19*2 have demonstrated that interaction of PM genotypes may not only significantly modify the susceptibility to HNSCC but also the treatment response.

Drug-induced liver injury: insights from genetic studies

Drug-induced liver injury (DILI) is an increasing health problem and a challenge for physicians, regulatory bodies and the pharmaceutical industry, not only because of its potential severity and elusive pathogenesis but also because it is often inaccurately diagnosed, commonly missed entirely and more often not reported. The general view is that idiosyncratic DILI, which is not predictable whether based on the pharmacology of the drug or on the dose administered, is determined by the presence in the recipient of variants in, or expression of, genes coding for key metabolic pathways and/or the immune response, and the interaction of these genetic variants with environmental variables. Furthermore, idiosyncratic DILI is an example of a complex-trait disease with two or more susceptibility loci, as reflected by the frequency of genetic variants in the population often being higher than the occurrence of significant liver injury. Polymorphisms of bioactivation/toxification pathways via the CYP450 enzymes (Phase I), detoxification reactions (Phase II) and excretion/transport (Phase III), together with immunological factors that might determine DILI are reviewed. Challenges such as gene-trait association studies and whole-genome studies, and future approaches to the study of DILI are explored. Better knowledge of the candidate genes involved could provide further insight for the prospective identification of susceptible patients at risk of developing drug-induced hepatotoxicity, development of new diagnostic tools and new treatment strategies with safer drugs.

QSAR of cytochrome inhibitors

Cytochrome P450 (CYP450) enzymes are predominantly involved in the Phase I metabolism of xenobiotics. Metabolic inhibition and induction can give rise to clinically important drug-drug interactions. Metabolic stability is a prerequisite for sustaining the therapeutically relevant concentrations, and very often drug candidates are sacrificed due to poor metabolic profiles. Computational tools such as quantitative structure-activity relationships are widely used to study different metabolic end points successfully to accelerate the drug discovery process. There are a lot of computational studies on clinically important CYPs already reported in recent years. But other clinically significant families are to yet be explored computationally. Powerfulness of quantitative structure-activity relationship will drive computational chemists to develop new potent and selective inhibitors of different classes of CYPs for the treatment of different diseases with least drug-drug interactions. Furthermore, there is a need to enhance the accuracy, interpretability and confidence in the computational models in accelerating the drug discovery pathways.

Gender differences in the prevalence, risk and clinical correlates of tardive dyskinesia in Chinese schizophrenia

OBJECTIVE

Despite extensive use of antipsychotic drug treatment, few studies address the prevalence of tardive dyskinesia (TD) in homogeneous ethnic groups such as the Chinese. This study examined gender-specific relationships between TD and symptom levels in schizophrenia among Han Chinese, which have previously received little systematic study.

MATERIALS AND METHODS

Five hundred and twenty-two inpatients with schizophrenia receiving long-term treatment with antipsychotics were evaluated with the AIMS. The patient's psychopathology was assessed with the Positive and Negative Syndrome Scale (PANSS). Demographic and clinical data were collected from a detailed questionnaire and medical records.

RESULTS

The overall TD prevalence was 33.7% with rates of 39.2% (138/352) in males and 22.4% (38/170) in females (chi (2) = 14.6, df = 1, p < 0.0001; adjust odds ratio 2.06; CI, 1.32-3.16). The AIMS score in patients with TD was lower in females than males (5.3 +/- 3.9 vs 6.7 +/- 3.7, t = 2.52, p < 0.01) after adjustment for the significant covariates. TD was associated with the negative symptoms on the PANSS in both genders, and with age, PANSS total and positive symptoms in men, not women.

CONCLUSION

Our present findings suggest that there are gender differences in the prevalence, risk, and clinical correlates of TD in schizophrenia. Although this study is limited by cross-sectional designs, the magnitude of these gender-specific differences is substantial and deservers further prospective study.

Expressed sequence tags (ESTs) and single nucleotide polymorphisms (SNPs): What large-scale sequencing projects can tell us about ADME

To date over 800 complete genomes have been sequenced, with many more partially complete. Coupled with the large amount of mRNA transcript sequence data being produced from expression studies, there is now a daunting amount of information available to the research scientist. This review examines how this information may be best used, focusing on examples from sequences encoding absorption, distribution, metabolism and excretion (ADME)-related proteins in particular. Through the use of phylogenetic, splice variant and single nucleotide polymorphism (SNP) analysis, the review examines not only how insights into species-specific responses to drug exposure may be gained, but also how best to utilize this information to predict both individual human responses and the impact of population variance in response.

CYP2D6 gene test in psychiatric patients and healthy volunteers

BACKGROUND

Antipsychotic drug therapy meets difficulties in predicting response in psychiatric patients. The medical treatment of these patients may be improved significantly by systematic phamacogenetic diagnosis identifying the drug metabolic capacities of each patient. Genetic polymorphisms in the coding sequence for the drug metabolizing cytochrome P450 enzyme CYP2D6 represent a pharmacogenetic target.

METHODS

A cohort (n = 225) representing psychiatric patients seen during an 18-month trial period was included in the project after the subjects accepted a blood sample being taken to analyse their CYP2D6 allelic composition. To investigate any putative difference in allele frequencies among the psychiatric patients compared to earlier publications on allele frequencies in Caucasian populations, another cohort (n = 122) of local healthy volunteers was likewise included.

RESULTS

Allelic frequencies in the psychiatric patients and healthy volunteers were indistinguishable. Alleles *1 and *2 encoding for normal enzyme activity and alleles *3, *4, *5, *6, *13/*16 representing non-active forms were found as well as alleles *9, *10, *41 encoding for enzymes with decreased activity. Furthermore, examples of the previously described duplications of *1 and *2, which result in enhanced enzyme activity, were also identified.

CONCLUSION

A systematic CYP2D6 gene test of hospitalized psychiatric patients revealed the identification of pharmacogenetically relevant alleles affecting capacity to metabolize antipsychotics. The frequencies of phenotypes in affected patients were 8.4 % intermediate metabolizers (IMs), 8.4 % poor metabolizers (PMs) and 3.1 % ultrafast metabolizers (UMs), whereas 52.4 % were extensive metabolizers (EMs) and 27.6 % heterozygous EMs.

Genotyping of the cytochrome P450 2D6 4469 C>T polymorphism using SimpleProbes™

BACKGROUND

Genotyping of human cytochrome P450s is a pharmacogenetic approach to diagnosing inherited deficiencies in drug metabolizing enzymes that influence therapeutic responses. The P450 CYP2D6 (debrisoquine hydroxylase) metabolizes numerous antidepressants and neuroleptic agents and there is evidence of a relationship between gene polymorphism and variant therapeutic response. Polymorphism in CYP2D6 causes poor, intermediate, efficient or ultrarapid metabolization of substrate drugs affecting pharmacokinetic parameters and requiring dose adjustments. Predictive genotyping for broader clinical application is reliant on fast, technically simple analyses. A new genotyping method was explored. It identifies the single nucleotide polymorphism (SNP) 4469 C>T (NCBI access no. M33388) with one fluorescent hybridization probe (SimpleProbes; SP) using the LightCycler (LC). This SNP is found in 21 alleles, comprising 30% in Caucasian populations and encoding enzymes with poor, intermediate or efficient activity. The remaining 65 known alleles either harbour a C in position 4469 or are deletion mutants.

METHODS

Comparative detection of C>T polymorphism was done using a well-established polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique and PCR followed by melting-point (T(m)) analysis with an SP covering the SNP position in 144 samples encompassing alleles *2 and *41 with a T, alleles *1,*3, *4, *6, *9, *10, *15 with a C and the deletion mutant allele *5.

RESULTS

C>T polymorphism was detected with complete concordance. T(m) of SP/target heteroduplex complexes for C was: T(m) 67, 89 degrees C to 68, 62 degrees C and for T: T(m) 60, 70 degrees C to 61, 51 degrees C.

CONCLUSION

By one-step SP methodology it proved possible within 2 h to identify an SNP in genotypes comprising >90% in Caucasian populations.

Influence of CYP2D6 polymorphisms on symptomatology and side-effects of patients with schizophrenia in Malaysia

BACKGROUND

Our objective was to investigate the association of CYP2D6 polymorphisms with symptoms and side-effects of patients with schizophrenia.

METHODS

The subjects were 156 patients with schizophrenia undergoing antipsychotic treatment at a psychiatric clinic. Patients with co-morbid diagnoses of substance abuse or mental retardation were excluded from the study. Psychopathology was evaluated using the Positive and Negative Symptoms Scale (PANSS). Extrapyramidal side-effects and akathisia were assessed with the Simpson Angus Scale (SAS) and the Barnes Akathisia Rating Scale (BARS), respectively. DNA was extracted from blood and subjected to PCR-genotyping.

RESULTS

We found that CYP2D6 polymorphisms were significantly associated with a subtotal negative PANSS score. In addition, CYP2D6 is not related to side-effects of antipsychotic therapy, or SAS and BARS scores. The results suggest that CYP2D6 polymorphisms may have implications in treatment response.

CONCLUSIONS

Therefore, CYP2D6 may be a predictor for treatment outcomes of patients with schizophrenia. However, further investigation is required to confirm these findings in a larger sample.

Pharmacogenomics of antidepressant drugs

While antidepressant pharmacotherapy is an effective treatment of depression, it is still hampered by the slow onset of appreciable clinical improvement and a series of side effects. Moreover, a substantial group of patients does not achieve remission or fails to respond at all. One possible source accounting for these variations in treatment outcome are genetic differences. In recent years a number of pharmacogenetic studies on antidepressant drugs have been published. This manuscript summarizes findings related to the pharmacogenetics of genes involved in the pharmacokinetics as well as pharmacodynamics of antidepressants to date. Illustrated by examples from current candidate gene- and whole genome association studies, this manuscript critically discusses aspects of pharmacogenetic studies in antidepressant response related to study design and clinical relevance.

Cytochrome P450 2D6 genotyping: potential role in improving treatment outcomes in psychiatric disorders

The specific reaction toward a given drug varies a lot between individuals and, for many drugs, pharmacogenetic polymorphisms are known to affect biotransformation and clinical outcome. Estimation of the individual's drug-metabolizing capacity can be undertaken by genotyping drug-metabolizing enzymes involved in the respective drug metabolism. Consequences that arise from genotyping may be the adjustment of dose according to genotype, choice of therapeutic strategy, or even choice of drug. One of the first fields where the clinical application of pharmacogenetics may be used is in that of antipsychotic and antidepressant drug treatment because there is a special need for individualized therapy in psychiatry. The pharmacokinetics of many TCAs, some SSRIs and other antidepressant drugs is significantly altered by polymorphisms; however, some controversy still exists as to whether therapeutic efficacy may be improved and/or adverse events can be prevented by genetically driven adjustment of drug dosage. Pharmacogenetic diagnostics may be an important factor in individualizing drug treatment according to the genetic make-up of the patients. However, routine application of pharmacogenetic dose adjustment in clinical practice requires prospective validation.

Effects of the CYP2D6*10 alleles and co-medication with CYP2D6-dependent drugs on risperidone metabolism in patients with schizophrenia

OBJECTIVE

Risperidone is converted to 9-hydroxyrisperidone by CYP2D6. Two parameters were used to examine the influences of CYP2D6 polymorphism and of co-medication on risperidone metabolism: the risperidone:9-hydroxyrisperidone concentration ratio (R:9-OHR ratio) and the sum of the risperidone and 9-hydroxyrisperidone concentrations divided by the dose (C:D ratio). We evaluated the effect of the CYP2D6*10 allele, which is a prevalent mutant allele among East Asians.

METHODS

Genotyping using the P450 microarray system was performed for 89 Japanese patients with schizophrenia receiving risperidone. The patients with CYP2D6*1/*1, *1/*2, or *2/*2 were classified as Group 1, those with one CYP2D6*10 allele (CYP2D6*1/*10 or *2/*10) were classified as Group 2, and those with two CYP2D6*10 alleles were classified as Group 3. The R:9-OHR and C:D ratios were analyzed using two-way ANOVAs with the CYP2D6 genotype and co-medication with CYP2D6-dependent drugs as independent variables.

RESULTS

Both the "genotype" and the "co-medication" factors had significant impacts on the R:9-OHR ratio (p = 0.011, p < 0.001). The "genotype" factor also had a significant impact on the C:D ratio (p = 0.032). However, the "co-medication" factor did not have a significant impact on the C:D ratio (p = 0.129).

CONCLUSIONS

The CYP2D6*10 polymorphism and the presence of co-medication exerted significant influences on the pharmacokinetics of risperidone.

Can extremely low or high morphine formation from codeine be predicted prior to therapy initiation?

Activation of codeine by O-demethylation into morphine is a prerequisite for its analgesic effects and severe toxicity. Identifying patients in whom morphine is formed either at extremely low or at extremely high amounts may improve efficacy and safety of codeine therapy. To assess how well this identification is possible, we compared the performance of current CYP2D6 phenotype association systems (traditional genotype-based classification, a recently proposed CYP2D6 activity score, and the plasma dextromethorphan metabolic ratio) in 57 healthy Caucasians after oral administration of 30 mg dextromethorphan hydrobromide or 50 mg codeine. Most subjects (87.5%) at the lower 15% of morphine formation from codeine and thus likely to not to respond to codeine therapy were correctly identified by CYP2D6 genotype- or phenotype-based systems. In contrast, in subjects at the upper 15% of morphine formation being at risk for opioid toxicity, CYP2D6 genotyping predicted only the 50% who carried gene duplication, whereas dextromethorphan-based phenotyping identified 67.5% of the subjects with high morphine formation. However, satisfactory prediction (87.5%) of high morphine formation was only achieved when combining genotyping with phenotyping. In conclusion, insufficient morphine formation from codeine and thus likely failure of analgesia can currently be well predicted. However, to make codeine therapy safe, extremely high morphine formation has to be predicted as well, which has to be obtained at the effort of combining genotyping with phenotyping.

Azoles and antidepressants: a mini-review of the tolerability of co-administration

Depression is a common condition in chronically ill immunosuppressed patients on long-term antifungal therapy with azoles. As both azoles and more recent antifungals are metabolised by the P450 enzymatic system in the liver, here we review the potential of clinically meaningful interactions between antidepressants and azoles. Selective serotonin reuptake inhibitors are safer compared to tricycle antidepressants when co-administered with azoles. More pharmacovigilance is needed.

Genetic underpinnings of tardive dyskinesia: passing the baton to pharmacogenetics

Manifestation of tardive dyskinesia (TD) among schizophrenia subjects on long-term antipsychotic treatment with typical drugs has been a clinical concern. Despite its association with extrapyramidal symptoms, typical drugs are still routinely prescribed globally though marginally superior atypical drugs have long been available. The genetic component in the etiology of TD is well documented. Search for these determinants has led to a few consensus associations of CYP2D6 *10, CYP1A2*1F, DRD2 Taq1A (rs1800497), DRD3 Ser9Gly (rs6280) and MnSOD Ala9Val (rs4880) variants with TD. However, translation of these observations into the clinic has not been achieved so far. This review discusses the salient features of TD etiopathology, current status of TD genetics, interactions between genetic and nongenetic factors, some major drawbacks, challenges and expected focus in TD research over the next decade, with emphasis on pharmacogenetics.

QSAR models for P450 (2D6) substrate activity

Human Cytochrome P450 (CYP) is a large group of enzymes that possess an essential function in metabolising different exogenous and endogenous compounds. Humans have more than 50 different genes encoding CYP enzymes, among these a gene encoding for the CYP isoenzyme 2D6, a CYP able to metabolise drugs and other chemicals. A training set of 747 chemicals primarily based on in vivo human data for the CYP isoenzyme 2D6 was collected from the literature. QSAR models focusing on substrate/non-substrate activity were constructed by the use of MultiCASE, Leadscope and MDL quantitative structure-activity relationship (QSAR) modelling systems. They cross validated (leave-groups-out) with concordances of 71%, 81% and 82%, respectively. Discrete organic European Inventory of Existing Commercial Chemical Substances (EINECS) chemicals were screened to predict an approximate percentage of CYP 2D6 substrates. These chemicals are potentially present in the environment. The biological importance of the CYP 2D6 and the use of the software mentioned above were discussed.

Pharmacogenetic Screening of the Gene Deletion and Duplications of CYP2D6

Cytochrome P450 (CYP) 2D6 is one of the most important enzymes involved in the metabolism of drugs. Multiple, clinically relevant, genetic variants of this gene have been identified and, among them, a gene deletion as well as multiplications of the gene. These large structural mutations in CYP2D6 occur at a relatively high frequency in several populations. Genotyping of CYP2D6 could therefore be applied to individualize drug therapy to improve therapeutic efficacy and decrease adverse effects in patients. However, a prerequisite for the pharmacogenetic screening of CYP2D6 in a clinical setting is the development of fast, reliable and cost-effective techniques for the routine genotyping of patients. In the case of CYP2D6, besides the general problems that arise in the detection of large gene deletions and multiplications, the presence of two highly homologous pseudogenes, CYP2D7 and CYP2D8, forms an extra challenge. This review provides an overview of the techniques that have been described to detect the CYP2D6 gene deletion and multiplication: Southern-blotting RFLP, long-template PCR, and real-time PCR. Of these techniques, real-time PCR is the only technique giving quantitative information about the exact copy number of the gene. Considering all of the other advantages of this method over other methods, such as cost-effectiveness and suitability for high throughput screening, real-time PCR is the most promising method for the genotyping of large structural alterations in the CYP2D6 gene in a routine clinical setting.

AmineDB: Large scale docking of amines with CYP2D6 and scoring for druglike properties—towards defining the scope of the chemical defense against foreign amines in humans

Organic amines are prevalent in nature and in drugs, especially the psychotherapeutic agents, and a major defense against potentially toxic amines is metabolism by CYP2D6. In order to understand better the constraints on the broad specificity of CYP2D6, 4207 amines were docked into the binding site of this enzyme. Docking poses were found predominantly with the positively charged amino groups closest to Asp301, with aromatic rings close to Phe120 and sometimes extending as far as Phe483. Organic amines that bind best to CYP2D6 tend to have larger molecular weights and logP values. Organic amines that score highly as being druglike, based on a Bayesian model constructed using a 5223-drug training set, are least likely to bind to CYP2D6. This correlation suggests that the set of known drugs, which have been largely designed or selected to avoid high affinity CYP binding, partially encodes the binding site preferences (or rather anti-preferences) of CYP2D6. Finally, in order to benchmark our docking and druglike scoring procedures, an analysis of psychotherapeutic agents is presented. All of these data, including the 4207 AM1-optimized ligand structures in proper ionization states, docking poses and scores, Druglike Scores and Lipinski properties, can be viewed from an online database, the AmineDB.

Usefulness of hepatocytes for evaluating the genetic polymorphism of CYP2D6 substrates

The usefulness of human hepatocytes for assessing CYP2D6-related genetic polymorphisms was investigated. Propranolol and propafenone, which undergo phase I and II biotransformations, were used as model substrates alongside metoprolol, which is only metabolized via oxidative pathways. The contributions of CYP2D6 to the primary metabolisms of the substrates were estimated from the quinidine-mediated inhibition of their depletion rate constants in human hepatocytes and liver microsomes. The contributions in hepatocytes were 19.2% for propranolol at 0.05 microM and 36.7--76.3% for propafenone at 0.05--1.0 microM, and smaller than the contribution in microsomes, unlike the case for metoprolol. The differences between microsomes and hepatocytes were attributable to conjugate formation. The CYP2D6 contributions in hepatocytes reflected the in vivo data. The relevance of the concentration-dependent involvement of CYP2D6 in propafenone metabolism in hepatocytes to the in vivo polymorphic profile and the applicability of hepatocytes for evaluating these polymorphisms are discussed.

Identification of CYP2D6 null variants among long-stay, chronic psychiatric inpatients: is it strictly necessary?

We identified the null variants *3,*4,*5,*6,*7 and *8 of the CYP2D6 gene [encoding for cytochrome P450 (debrisoquine hydroxylase)] in a group of 84 chronic-stay psychiatric inpatients with severe schizophrenia or related disorders and receiving treatment with one or more CYP2D6 substrates for years. We also studied a group of 100 healthy controls of similar ethnic origin (Spanish Caucasians). Three patients were poor metabolizers (PMs) for antipsychotic drugs according to their CYP2D6 genotype (i.e. homozygous for the *4 allele) but they exhibited no adverse drug reaction over the years despite chronic treatment with CYP2D6 substrates. We suggest that CYP2D6 genetic screening is more useful in other type of psychiatric patients, particularly in younger ones starting treatment protocols.

Dextromethorphan and quinidine combination for heroin detoxification

Dextromethorphan (DM) is a low-affinity, non-competitive NMDA receptor antagonist that has shown promise in preclinical and preliminary clinical studies for the reduction of opioid withdrawal symptoms, but when used at higher doses, it is associated with deleterious side effects attributed to its metabolite, dextrorphan. A clinical trial was therefore conducted to test the withdrawal-suppressant effect of a combination of dextromethorphan with quinidine (DM/Q). Quinidine inhibits the metabolism of dextromethorphan, reducing dextrorphan levels. Opioid-dependent patients were admitted to an inpatient unit, stabilized for three days on morphine (25 mg, sc, every six hours), and randomly assigned on day 2 to DM/Q (30 mg/30 mg, twice a day) (n = 22) or matching placebo (n = 9) prior to the discontinuation of morphine on day 4. Withdrawal symptoms, measured with the Modified Himmelsbach Opioid Withdrawal Scale (MHOWS), increased significantly on days 4 and 5 (Z = 3.70, p = .0002), and by day 6, 90% of the sample (28/31) had dropped out of the study. There were no differences between treatment groups on either outcome measure. The combination of dextromethorphan and quinidine appears ineffective as a primary treatment for opioid withdrawal. Future studies should examine dextromethorphan as an adjunct to other anti-withdrawal medications and focus more on the relationship between dextrorphan levels and withdrawal suppression.

Genetic studies of African populations: an overview on disease susceptibility and response to vaccines and therapeutics

Africa is the ultimate source of modern humans and as such harbors more genetic variation than any other continent. For this reason, studies of the patterns of genetic variation in African populations are crucial to understanding how genes affect phenotypic variation, including disease predisposition. In addition, the patterns of extant genetic variation in Africa are important for understanding how genetic variation affects infectious diseases that are a major problem in Africa, such as malaria, tuberculosis, schistosomiasis, and HIV/AIDS. Therefore, elucidating the role that genetic susceptibility to infectious diseases plays is critical to improving the health of people in Africa. It is also of note that recent and ongoing social and cultural changes in sub-Saharan Africa have increased the prevalence of non-communicable diseases that will also require genetic analyses to improve disease prevention and treatment. In this review we give special attention to many of the past and ongoing studies, emphasizing those in Sub-Saharan Africans that address the role of genetic variation in human disease.

Brain levels of dextromethorphan and the intensity of opioid withdrawal in mice

Consistent with their antagonistic actions at N-methyl-D-aspartate type glutamate receptors, dextromethorphan (DXM) and its metabolite, dextrorphan (DXT) decrease the intensity of opioid withdrawal syndrome. Since quinidine (QND) affects CYP2D6-mediated metabolism and P-glycoprotein governed transport, we sought to determine whether co-treatment with QND would affect brain levels of DXM and DXT as well as the effect of these compounds on opioid withdrawal syndrome in mice. We found that DXM dose dependently inhibited the intensity of opioid withdrawal syndrome and that there was a tendency for a further decrease when QND was co-administered with DXM. Administration of 30 mg/kg of DXM resulted in higher brain levels of DXM and DXT than administration of 10 mg/kg of DXM, but much lower DXT levels than that produced by 30 mg/kg of DXT. Co-treatment with QND resulted in higher brain levels of DXM (but not DXT) suggesting that QND produces an increase in the brain availability of DXM. In summary, brain levels of DXM were inversely correlated with the intensity of opioid withdrawal syndrome. QND induced increased brain levels of DXM tend to attenuate the intensity of opioid withdrawal syndrome. We suggest that it is DXM, rather than DXT, that is responsible for the attenuating effect on the intensity of opioid withdrawal syndrome, and that the beneficial action of QND on the effect of DXM should be more pronounced in humans.

Reduced CYP2D6 activity is a negative risk factor for methamphetamine dependence

Because methamphetamine (METH) is metabolized by CYP2D6 at the first step of hydroxylation and demethylation, it is possible that functional variants of CYP2D6 alter susceptibility to methamphetamine-induced dependence. We genotyped CYP2D6*1, *4, *5, *10, and *14 for 202 patients with METH dependence and 337 controls in a Japanese population and found a significant association of the CYP2D6 gene with METH dependence (p=0.0299). The patients had fewer *10 and *14 alleles, which are hypofunction alleles, than the controls. CYP2D6 genotypes were divided into three phenotypes: extensive metabolizers, intermediate metabolizers, and poor metabolizers. There was no poor metabolizer among our Japanese subjects, and intermediate metabolizers of CYP2D6 were significantly fewer in methamphetamine-dependent subjects than in controls (p=0.0212), with an odds ratio of 0.62 (95% confidence interval: 0.51-0.76). The present study demonstrated that reduced CYP2D6 activity was a negative risk factor for methamphetamine dependence.

CYP2D6 and DRD2 genes differentially impact pharmacodynamic sensitivity and time course of prolactin response to perphenazine

OBJECTIVES

We observed that CYP2D6 contributes to pharmacodynamic tissue sensitivity to perphenazine as measured by the areas under the curve (AUCs) expressed as a ratio (prolactin-AUC0-6/perphenazine-AUC0-6) in Chinese Canadians [Pharmacogenetics and Genomics 2007; 17:339-347]. As genetic heterogeneity in drug targets can influence drug response, we sought to further evaluate the contribution of CYP2D6 to pharmacodynamic sensitivity in our previous study sample in tandem with DRD2, the primary molecular target for perphenazine.

METHODS

Genotyping for DRD2 Taq1A, -141C ins/del and Ser311Cys functional polymorphisms was performed using PCR-restriction-fragment length polymorphism methods.

RESULTS

After controlling for DRD2 polymorphisms, CYP2D6 was a significant predictor of pituitary pharmacodynamic tissue sensitivity to perphenazine (P=0.024; power=80.4%). Taq1A polymorphism significantly influenced the time course of prolactin response (P=0.039; power=70%). A1/A1 genotype displayed a higher prolactin elevation 2 h after perphenazine administration (P=0.02). Patients with -141C ins/ins genotype showed a strong trend toward a 38% larger prolactin AUC compared with the -141C ins/del genotypic group (P=0.07).

CONCLUSIONS

CYP2D6 seems to be an independent contributor to pituitary pharmacodynamic tissue sensitivity to perphenazine after accounting for DRD2 functional polymorphisms. The A1 allele of the Taq1A polymorphism was previously shown to decrease D2 receptor density in vitro and in neuroimaging studies in vivo. At a given antipsychotic dose, individuals with A1 allele might thus achieve a higher DRD2 antipsychotic occupancy, which is consistent with an increased prolactin elevation in the A1/A1 genotype in this study. These findings provide a basis for further studies on the endogenous substrates of CYP2D6 and the rational selection of candidate genes for long-term consequences of antipsychotic-induced hyperprolactinemia (e.g. susceptibility to breast and prostate cancers).

Active-site structure, binding and redox activity of the heme-thiolate enzyme CYP2D6 immobilized on coated Ag electrodes: a surface-enhanced resonance Raman scattering study

Surface-enhance resonance Raman scattering spectra of the heme-thiolate enzyme cytochrome P450 2D6 (CYP2D6) adsorbed on Ag electrodes coated with 11-mercaptoundecanoic acid (MUA) were obtained in various experimental conditions. An analysis of these spectra, and a comparison between them and the RR spectra of CYP2D6 in solution, indicated that the enzyme's active site retained its nature of six-coordinated low-spin heme upon immobilization. Moreover, the spectral changes detected in the presence of dextromethorphan (a CYP2D6 substrate) and imidazole (an exogenous heme axial ligand) indicated that the immobilized enzyme also preserved its ability to reversibly bind a substrate and form a heme-imidazole complex. The reversibility of these processes could be easily verified by flowing alternately solutions of the various compounds and the buffer through a home-built spectroelectrochemical flow cell which contained a sample of immobilized protein, without the need to disassemble the cell between consecutive spectral data acquisitions. Despite immobilized CYP2D6 being effectively reduced by a sodium dithionite solution, electrochemical reduction via the Ag electrode was not able to completely reduce the enzyme, and led to its extensive inactivation. This behavior indicated that although the enzyme's ability to exchange electrons is not altered by immobilization per se, MUA-coated electrodes are not suited to perform direct electrochemistry of CYP2D6.

The effect of a long term epidural infusion of ropivacaine on CYP2D6 activity

BACKGROUND

Ropivacaine and one of its metabolites, pipecoloxylidide, inhibit CYP2D6 in. human liver microsomes in vitro with K(i) values of 5 microM (1.4 mg/L) and 13 microM (3.6 mg/L), respectively. We investigated the effect of a 50 h continuous epidural infusion of ropivacaine 2 mg/mL at a rate of 14 mL/h on CYP2D6 activity.

METHODS

Nineteen patients (41-85 yr) undergoing hip or knee replacement, all extensive metabolizers with respect to CYP2D6 activity, were included. Medications known to inhibit or be metabolized by CYP2D6, or known to be strong inhibitors/inducers of CYP1A2 or CYP3A4 were not allowed. Patients received 10 mg debrisoquine (a marker for CYP2D6 activity) before surgery and after 40 h epidural infusion. The metabolic ratio (MR) for debrisoquine hydroxylation was calculated as the amount of debrisoquine/amount of 4-OH-debrisoquine excreted in 0-10 h urine.

RESULTS

The median (range) of MR before and after ropivacaine were 0.54 (0.1-3.4) and 1.79 (0.3-6.7), respectively. The Hodges Lehman estimate of the ratio MR after/MR before ropivacaine was 2.2 with a 95% confidence interval 1.9-2.7 (P < 0.001).

CONCLUSION

A continuous epidural infusion of ropivacaine inhibits CYP2D6 activity in patients who are extensive metabolizers resulting in a twofold increase in the MR for debrisoquine hydroxylation. However, since none of the patients was converted into a functional poor metabolizer (MR >12.6), the effect on the metabolism of other drugs metabolized by CYP2D6 is unlikely to be of major clinical importance.

The dark side of ecstasy: neuropsychiatric symptoms after exposure to 3,4-methylenedioxymethamphetamine

3,4-Methylenedioxymethamphetamine (MDMA, ecstasy) is a known neurotoxin in animals. This review discusses the history, pattern of use, pharmacology, acute and long-term effects of MDMA. Emphasis is given to the concern that MDMA may induce long-term cognitive and psychiatric effects. MDMA is an illegal substance, and investigations of the effects of exposure in human beings have limitations and weaknesses. There are numerous studies suggesting a correlation between MDMA exposure and psychopathology, and that the psychotropic effects may be long-lasting or permanent. However, it is not possible to conclude that there is a causal relationship between exposure and the increased psychopathology observed in MDMA users. Longitudinal studies are needed to assess whether MDMA causes persistent cognitive impairment and/or psychiatric symptoms in human beings.