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Aim Epidermal growth factor receptor inhibitor (EGFRI) induced skin toxicity has a prognostic value suggesting skin toxicity can be a useful surrogate marker for successful epidermal growth factor receptor (EGFR) inhibition, improved response and survival. But the pathophysiology of EGFRI induced skin toxicity remains elusive. However the involvement of immunological mechanisms has been speculated. This study investigates the possible underlying mechanism of EGFR inhibition associated cytokine production in keratinocytes as well as in patients after treatment with epidermal growth factor receptor inhibitors (EGFRIs). Methods Normal human epidermal keratinocytes (NHEK) were incubated for 2 and 24 h with different concentrations of EGFRI (erlotinib) for Western blot analysis and cytokine expression analysis, respectively. Inhibition of EGFR, extracellular-signal-regulated kinase 1/2 (Erk 1/2) and c-Jun was examined by Western blot analysis. Cytokine concentrations were measured by enzyme-linked immunosorbent assay (ELISA) in the NHEK cell supernatant and also in the serum of 186 cancer patients who are followed up for EGFRI induced skin rash. Results A significant inhibitory effect of EGFRI was seen on EGFR (Y845), Erk 1/2 and c-Jun in a dose dependent manner. Further downstream, increased CC-chemokine ligand 2 (CCL2), CC-chemokine ligand 5 (CCL5) and decreased interleukin-8 (IL-8) or CXCL8 expression was observed in keratinocytes. In EGFRI treated patients, low levels of serum CXCL8 corresponding to stronger EGFR inhibition were associated with a higher grade of skin toxicity (p = 0.0016) and a prolonged overall survival (p = 0.018). Conclusions The results obtained in this study indicate that EGFRI can regulate cytokines by modulating EGFR signalling pathway in keratinocytes. Moreover, serum levels of CXCL8 in EGFRI treated patients may be important for individual EGFRI induced skin toxicity and patient’s survival.

Because of the large variation in the response to psychoactive medication, many studies have attempted to uncover genetic factors that determine response. While considerable knowledge exists on the large effects of genetic polymorphisms on pharmacokinetics and plasma concentrations of drugs, effects of the concentration at the target site and pharmacodynamic effects on brain functions in disease are much less known. This article reviews the role of magnetic resonance imaging (MRI) to visualize response to medication in brain behaviour circuits in vivo in humans and assess the influence of pharmacogenetic factors. Two types of studies have been used to characterize effects of medication and genetic variation. In task-related activation studies the focus is on changes in the activity of a neural circuit associated with a specific psychological process. The second type of study investigates resting state perfusion. These studies provide an assessment of vascular changes associated with bioavailability of drugs in the brain, but may also assess changes in neural activity after binding of centrally active agents. Task-related pharmacogenetic studies of cognitive function have characterized the effects in the prefrontal cortex of genetic polymorphisms of dopamine receptors (DRD2), metabolic enzymes (COMT) and in the post-synaptic signalling cascade under the administration of dopamine agonists and antagonists. In contrast, pharmacogenetic imaging with resting state perfusion is still in its infancy. However, the quantitative nature of perfusion imaging, its non-invasive character and its repeatability might be crucial assets in visualizing the effects of medication in vivo in man during therapy.

Background Prevention of colorectal adenomas (CA) is likely to prevent colorectal cancer (CRC). Nutri- or chemoprevention of CRC is not yet established. NSAIDs show some benefit but also increase the bleeding risk. Agents with a more favourable benefit/risk ratio are desirable. Preclinical and small clinical trials suggest that epigallocatechingallate (EGCG), a major polyphenol in green tea, has a good safety profile and antineoplastic effects in the large bowel, but there are no data from large trials. MIRACLE enrolled 1001 patients to examine the effect of a three year intake of ECGC on the recurrence of CA after polypectomy. Methods Double-blinded, placebo-controlled trial, 41 recruiting German centers, recruitment 12/2011-6/2015. Patients aged 50-80 years who underwent polypectomy within the last 6 months and tolerated EGCG well during a one month run-in were randomized to standardized decaffeinated EGCG (150 mg bid) or placebo for 3 years. Primary endpoint: Incidence of metachronous CA at the 3 year follow-up colonoscopy. Secondary endpoints: Occurrence, number, localization, size, histological subtype of CA, frequency of CRC and biomarker. Strata: Study center and intake of low-dose aspirin (≤100 mg/d). Results Clinical parameters were well balanced between the groups. Primary endpoint was analysed in the modified ITT set (modITT; n = 309 patients in EGCG, n = 323 in placebo group giving informed consent and undergoing 3 year follow up colonoscopy in the requested time frame). n = 102 patients in the EGCG and n = 103 in the placebo group were excluded due to missing follow up colonoscopy. Incidence of one or more CA after 3 year of placebo or EGCG 150 mg bid was 55.7 % and 51.1%, respectively (one sided adj. P = 0.077, adj. RR 0.904) in the modITT. In the per protocol set constituting all modITT patients completing the study without major protocol violations the respective figures were 54.3 % in the placebo and 48.3% in the EGCG group (one sided adj. P = 0.058, adj. RR 0.883). There were no safety issues and no major differences in AEs between EGCG and placebo during the randomized phase. Conclusions 300 mg EGCG per day was well tolerated and showed a trend towards a preventive effect on CA in the large bowel though not statistically significant. Clinical trial identification NCT01360320. Legal entity responsible for the study Martin-Luther-Universitat Halle-Wittenberg, Germany. Funding German Cancer Aid (Stiftung Deutsche Krebshilfe). Disclosure All authors have declared no conflicts of interest.

1 Federal Institute for Drugs and Medical Devices (BfArM), Research Division, Bonn, 2 Institute of Pharmacology of Natural Products and Clinical Pharmacology, 3 Department of Internal Medicine II, University of Ulm, Ulm, 4 Pneumology, Thoracic Oncology, Sleep- and Respiratory Critical Care Medicine, Clinics Kempten-Oberallgäu, Kempten, and 5 Department of Internal Medicine I, University of Ulm, Ulm, and 4 Department of Internal Medicine I, Martin Luther University Halle-Wittenberg, Germany.

Wegen erhohter Anfalligkeit fur Atemstorungen wird auch fur Kinder und Jugendliche im Alter von 12–18 Jahren Codein nicht mehr empfohlen. Aber nicht nur bei Kindern mit Husten, sondern auch fur Patienten jeglichen Alters die „Codein sehr schnell zum Morphin verstoffwechseln“ sind codeinhaltige Arzneimittel ab sofort kontraindiziert. Zugrunde liegt ein pharmakogenetischer Polymorphismus, also genetisch bedingte Unterschiede im Arzneimittelstoffwechsel eines korpereigenes Leberenzyms der “Cytochrom-P450-Familie“, das CYP2D6, das Medikamente und Fremdstoffe mehr oder weniger schnell in unserem Korper abbaut. Wir erwarten, dass in Zukunft durch genetische oder molekulare Marker eine noch genauere und besser stratifizierte Einschatzung des Nutzen-Risikoverhaltnisses bei Arzneimitteln fur verschiedene Patientengruppen im Sinne einer “individualisierte Medizin“ moglich wird.

UDP-glucuronosyltransferases (UGT) catalyze the biotransformation of many endobiotics and xenobiotics, and are coded by polymorphic genes. However, knowledge about the effects of these polymorphisms is rarely used for the individualization of drug therapy. Here, we present a quantitative systematic review of clinical studies on the impact of UGT variants on drug metabolism to clarify the potential for genotype-adjusted therapy recommendations. Data on UGT polymorphisms and dose-related pharmacokinetic parameters in man were retrieved by a systematic search in public databases. Mean estimates of pharmacokinetic parameters were extracted for each group of carriers of UGT variants to assess their effect size. Pooled estimates and relative confidence bounds were computed with a random-effects meta-analytic approach whenever multiple studies on the same variant, ethnic group, and substrate were available. Information was retrieved on 30 polymorphic metabolic pathways involving 10 UGT enzymes. For irinotecan and mycophenolic acid a wealth of data was available for assessing the impact of genetic polymorphisms on pharmacokinetics under different dosages, between ethnicities, under comedication, and under toxicity. Evidence for effects of potential clinical relevance exists for 19 drugs, but the data are not sufficient to assess effect size with the precision required to issue dose recommendations. In conclusion, compared to other drug metabolizing enzymes much less systematic research has been conducted on the polymorphisms of UGT enzymes. However, there is evidence of the existence of large monogenetic functional polymorphisms affecting pharmacokinetics and suggesting a potential use of UGT polymorphisms for the individualization of drug therapy.

Current diagnostic classifications regard psychotic symptoms during depressive episodes as indicators of depression severity. However, growing evidence suggests that depression with psychotic symptoms (MDP) may represent a distinct subtype of depression. In the course of the search for discriminating factors we tested the hypothesis that the serotonin transporter gene (5-HTTLPR) may interact with the manifestation of psychotic symptoms in acute depression.112 inpatients (61 female) with a depressive episode (16 bipolar, 86 unipolar) at admission were genotyped for 5-HTTLPR variants. Psychotic symptoms und general psychopathology were evaluated comprehensively using the Manual of the Association for Methodology and Documentation in Psychiatry (Arbeitsgemeinschaft für Methodik und Dokumentation in der Psychiatrie, 1981). For statistical analysis a chi-square test and a logistic regression model was used.16 (14.3%) out of 112 patients were currently presenting with psychotic symptoms. The primary finding of our study was the higher prevalence of the s-allele of the 5-HTTLPR within the group of MDP patients (Pearson χ²=7.87; df=2; p0.03). Secondly, in a logistic regression model, 5-HTTLPR was found to significantly contribute to the diagnosis of MDP (χ²=6.5; df=1; p=0.01). This effect was even more pronounced upon comparing only severely depressed patients with MDP patients. From a psychopathological perspective, MDP patients showed higher AMDP hostility and apathy scores but equal AMDP depression scores.This is the first study to show an influence of 5-HTTLPR on psychotic symptoms in acutely depressed patients.The lack of a control group and the relatively small sample size limits the present study's findings, thus replication in a larger sample is necessary.

The oral anticoagulant phenprocoumon, similar to other vitamin K antagonists, is characterized by pronounced interindividual variability in the doses needed to achieve the desired therapeutic effect. Previous studies assessed the effect of genetic and demographic covariates on empirical dose requirements of phenprocoumon to enable individualized dose prediction. The aim of the present study was to quantify major sources of interindividual variability separately on the pharmacokinetics and pharmacodynamics of phenprocoumon using a population pharmacokinetic–pharmacodynamic model. A single steady-state blood sample was collected from 278 patients and assayed by liquid chromatography–tandem mass spectrometry for phenprocoumon and its metabolites. Genotyping was performed for variants of the cytochrome P450 (CYP) 2C9 (CYP2C9) and vitamin K epoxide reductase complex, subunit 1 (VKORC1) genes. Effects were quantified by international normalized ratio (INR). Data were analyzed simultaneously using NONMEM VII. The model confirmed CYP2C9 and VKORC1 variants as the major predictors of variability in phenprocoumon concentrations and effects, together with body weight, age, comedication with CYP3A modifiers (i.e. inhibitors or inducers) and presence of atrial fibrillation. These covariates explained 50.0 % of the observed variability in the model parameters. Phenprocoumon clearance fractions mediated per CYP2C9 allele were 13.4, 9.5 and 5.7 mL/h for the *1, *2 and *3 variants, respectively. An additional clearance fraction of 5.3 mL/h was independent of CYP2C9 activity. Homozygous VKORC1 wild-type carriers were estimated to have a 2.13-fold higher phenprocoumon exposure requirement than homozygous 1173 C>T carriers to achieve the same effect on INR. The model provides a deeper insight in the separate pharmacokinetic and pharmacodynamic parts of phenprocoumon action. Thus, it provides important information for individualized dose prediction, with the option to include further covariates not studied here with known effects on individual pharmacokinetic or pharmacodynamic processes.

While widely in use in automated segmentation approaches for the detection of group differences or of changes associated with continuous predictors in gray matter volume, T1-weighted images are known to represent dura and cortical vessels with signal intensities similar to those of gray matter. By considering multiple signal sources at once, multimodal segmentation approaches may be able to resolve these different tissue classes and address this potential confound. We explored here the simultaneous use of FLAIR and apparent transverse relaxation rates (a signal related to [Formula: see text] relaxation maps and having similar contrast) with T1-weighted images. Relative to T1-weighted images alone, multimodal segmentation had marked positive effects on 1. the separation of gray matter from dura, 2. the exclusion of vessels from the gray matter compartment, and 3. the contrast with extracerebral connective tissue. While obtainable together with the T1-weighted images without increasing scanning times, apparent transverse relaxation rates were less effective than added FLAIR images in providing the above mentioned advantages. FLAIR images also improved the detection of cortical matter in areas prone to susceptibility artifacts in standard MPRAGE T1-weighted images, while the addition of transverse relaxation maps exacerbated the effect of these artifacts on segmentation. Our results confirm that standard MPRAGE segmentation may overestimate gray matter volume by wrongly assigning vessels and dura to this compartment and show that multimodal approaches may greatly improve the specificity of cortical segmentation. Since multimodal segmentation is easily implemented, these benefits are immediately available to studies focusing on translational applications of structural imaging.

Purpose Due to the diversity within Europe, the implementation of pharmacogenomic testing in clinical practice faces specific challenges. In the context of the European pharmacogenomics implementation project “Ubiquitous Pharmacogenomics” (U-PGx; funded by the European Commission), we studied the current educational background. Methods We developed a questionnaire including 29 questions. It was spread out to healthcare professionals working at the future implementation sites (in Austria, Greece, Italy, Netherlands, Slovenia, Spain and Great Britain) of the U-PGx project in preparation of an educational programme. Aim of the survey was to analyse the current educational situation at the implementation sites. Results In total, 70 healthcare professionals participated in the survey. Of participants, 84.3% found pharmacogenomics relevant to their current practice, but experience was still rare. More than two-thirds (65.7%) did not order nor recommend a pharmacogenomic test in the past year. This was mainly attributed to not having enough knowledge on pharmacogenomics (40.0%). Needs were identified in application of pharmacogenomics (identifying drugs 41.4%, interpreting test results 37.2%) as well as in underlining mechanisms (better knowledge on drug metabolism 67.1%, better knowledge on basic principles of pharmacogenomics 60.0%). Conclusions This study analysed the specific attitudes, experience and education on pharmacogenomics of future users. There was a general positive attitude and interest towards pharmacogenomic testing. However, the grade of own experience, and knowledge about application and interpretation of pharmacogenomics caused uncertainty. Thus, education and training programmes may be helpful for implementation of pharmacogenomics at a homogenous level within Europe. Electronic supplementary material The online version of this article (doi:10.1007/s00228-017-2292-5) contains supplementary material, which is available to authorized users.

// Vivien Hichert 1, 7 , Catharina Scholl 1, 7 , Michael Steffens 1, 7 , Tanusree Paul 2 , Christian Schumann 3, 4 , Stefan Rudiger 3 , Stefan Boeck 5, 8 , Volker Heinemann 5, 8 , Volker Kachele 6 , Thomas Seufferlein 6 and Julia Stingl 1, 7 1 Research Division, Federal Institute for Drugs and Medical Devices, Bonn, Germany 2 Institute of Pharmacology of Natural Products and Clinical Pharmacology, University of Ulm, Ulm, Germany 3 Department of Internal Medicine II, University of Ulm, Ulm, Germany 4 Pneumology, Thoracic Oncology, Sleep and Respiratory Critical Care Medicine, Clinics Kempten-Oberallgau, Kempten, Germany 5 Department of Internal Medicine III and Comprehensive Cancer Center, Ludwig-Maximilians-University of Munich, Munich, Germany 6 Department of Internal Medicine I, University of Ulm, Ulm, Germany 7 Centre for Translational Medicine, University Bonn Medical Faculty, Bonn, Germany 8 DKTK, German Cancer Consortium, German Cancer Research Center, (DKFZ), Heidelberg, Germany Correspondence to: Julia Stingl, email: julia.stingl@bfarm.de Keywords: EGFR inhibitor-induced skin rash, predictive biomarkers, amphiregulin, hepatocyte growth factor, calcidiol Received: October 25, 2016 Accepted: March 22, 2017 Published: April 12, 2017 ABSTRACT Epidermal growth factor receptor overexpression in human cancer can be effectively targeted by drugs acting as specific inhibitors of the receptor, like erlotinib, gefitinib, cetuximab and panitumumab. A common adverse effect is a typical papulopustular acneiform rash, whose occurrence and severity are positively correlated with overall survival in several cancer types. We studied molecules involved in epidermal growth factor receptor signaling which are quantifiable in plasma, with the aim of identifying biomarkers for the severity of rash. With a predictive value for the rash these biomarkers may also have a prognostic value for survival and disease outcome. The concentrations of amphiregulin, hepatocyte growth factor (HGF) and calcidiol were determined by specific enzyme-linked immunosorbent assays in plasma samples from 211 patients. We observed a significant inverse correlation between the plasma concentration of HGF and overall survival in patients with an inhibitor-induced rash (p-value = 0.0075; mean overall survival low HGF: 299 days, high HGF: 240 days) but not in patients without rash. The concentration of HGF was also significantly inversely correlated with severity of rash (p-value = 0.00124). High levels of HGF lead to increased signaling via its receptor MET, which can activate numerous pathways which are normally also activated by epidermal growth factor receptor. Increased HGF/MET signaling might compensate the inhibitory effect of epidermal growth factor receptor inhibitors in skin as well as tumor cells, leading to less severe skin rash and decreased efficacy of the anti-tumor therapy, rendering the plasma concentration of HGF a candidate for predictive biomarkers.

The neurotrophic hypothesis of depression suggests an association between effects on neuroplasticity and clinical response to antidepressant drug therapy. We studied individual variability in antidepressant drug effects on cell proliferation in lymphoblastoid cell lines (LCLs) from n=25 therapy-resistant patients versus n=25 first-line therapy responders from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Furthermore, the variability in gene expression of genes associated with cell proliferation was analyzed for tentative candidate genes for prediction of individual LCL donor’s treatment response. Cell proliferation was quantified by EdU (5-ethynyl-2′-deoxyuridine) assays after 21-day incubation of LCLs with fluoxetine (0.5 ng μl−1) and citalopram (0.3 ng μl−1) as developed and described earlier. Gene expression of a panel of candidate genes derived from genome-wide expression analyses of antidepressant effects on cell proliferation of LCLs from the Munich Antidepressant Response Signature (MARS) study was analyzed by real-time PCR. Significant differences in in vitro cell proliferation effects were detected between the group of LCLs from first-line therapy responders and LCLs from treatment-resistant patients. Gene expression analysis of the candidate gene panel revealed and confirmed influence of the candidate genes ABCB1, FZD7 and WNT2B on antidepressant drug resistance. The potential of these genes as tentative biomarkers for antidepressant drug resistance was confirmed. In vitro cell proliferation testing may serve as functional biomarker for individual neuroplasticity effects of antidepressants.

Background Elderly patients are particularly vulnerable to adverse drug reactions, especially if they are affected by additional risk factors such as multimorbidity, polypharmacy, impaired renal function and intake of drugs with high risk potential. Apart from these clinical parameters, drug safety and efficacy can be influenced by pharmacogenetic factors. Evidence-based recommendations concerning drug-gene-combinations have been issued by international consortia and in drug labels. However, clinical benefit of providing information on individual patient factors in a comprehensive risk assessment aiming to reduce the occurrence and severity of adverse drug reactions is not evident. Purpose of this randomized controlled trial is to compare the effect of a concise individual risk information leaflet with standard information on risk factors for side effects. Methods/Design The trial was designed as a prospective, two-arm, randomized, controlled, multicenter, pragmatic study. 960 elderly, multimorbid outpatients in general medicine are included if they take at least one high risk and one other long-term drug (polymedication). As high risk “index drugs” oral anticoagulants and antiplatelets were chosen because of their specific, objectively assessable side effects. Following randomization, test group patients receive an individualized risk assessment leaflet evaluating their personal data concerning bleeding- and thromboembolic-risk-scores, potential drug-drug-interactions, age, renal function and pharmacogenetic factors. Control group patients obtain a standardized leaflet only containing general information on these criteria. Follow-up period is 9 months for each patient. Primary endpoint is the occurrence of a thromboembolic/bleeding event or death. Secondary endpoints are other adverse drug reactions, hospital admissions, specialist referrals and medication changes due to adverse drug reactions, the patients’ adherence to medication regimen as well as health related quality of life, mortality and resulting costs. Discussion Despite extensive evidence of risk factors for adverse drug reactions, there are few prospective trial data about an individualized risk assessment including pharmacogenetic information to increase patient safety. By conducting a health economic analysis, we will evaluate if the application of an individualized drug therapy in daily routine is cost-effective. Trial registration German Clinical Trials Register: DRKS00006256, date of registration 09/01/15.

Aim: Development of a skin rash under treatment with EGF receptor (EGFR) inhibitors (EGFRIs) has been linked to a favorable prognosis in some studies, suggesting a possible immunological role for EGFRIs in addition to direct antagonistic downstream effects. The present study aimed to investigate whether particular HLA polymorphisms found in cancer patients treated with EGFRIs are associated with the development of skin rash and overall survival rates. Patients & methods: HLA typing was performed on 105 cancer patients and the development of skin rash was rated during the first 4 weeks of therapy with EGFRIs. Results: A significantly lower incidence of skin rash was found in patients carrying the HLA-A*02:01 or HLA-A*03:01 alleles (hazard ratio: 0.277; 95% CI: 0.121–0.634; p = 0.002 and hazard ratio: 0.292; 95% CI: 0.113–0.752; p = 0.011, respectively); however, no association with worse survival was seen. Conclusion: The chances of developing a skin rash in patients treated with EGFRIs may be lower in patients that carry the HLA-A*02:01 or HLA-A*03:01 alleles, while the antitumor efficacy of EGFRIs does not seem to be significantly impaired in these patients. Original submitted 20 April 2012; Revision submitted 9 July 2012

Genotyping patients for CYP2C9 and VKORC1 polymorphisms can improve the accuracy of dosing during the initiation of anticoagulation with vitamin K antagonists (coumarin derivatives). The anticipated degree of improvement in the safety of anticoagulation with coumarins through genotyping may vary depending on the quality of patient care, which varies both with and among countries. The management and the cost of anticoagulant care can therefore influence the cost–effectiveness of genotyping within any given country. In this article, we provide an overview of the cost–effectiveness of pharmacogenetics-guided dosing of coumarin derivatives. We describe the organization of anticoagulant care in the UK, Sweden, The Netherlands, Greece, Germany and Austria, where a genotype-guided dosing algorithm is currently being investigated as part of the EU-PACT trial. We also explore the costs of anticoagulant care for the treatment of atrial fibrillation in these countries.

The aim of this study was to investigate pharmacogenetic determinants of skin rash associated with epidermal growth factor receptor (EGFR) inhibitor treatment. A total of 109 prospectively sampled cancer patients, receiving the first treatment with an EGFR inhibitor, were genotyped for functional EGFR polymorphisms and tagging variants in genes involved in receptor downstream signaling. Skin rash was absent in 26 (23.9%) patients and associated with shorter overall survival compared with patients presenting skin rash (P=0.005). The EGFR polymorphisms, 497G/A (P=0.008), and the haplotypes of the promoter variants, EGFR-216G/T and -191C/A (P=0.029), were associated with the appearance of skin rash. In addition, a common haplotype in the PIK3CA gene was associated with skin rash (P=0.045) and overall survival (P=0.009). In conclusion, genetic variation within the EGFR gene and its downstream signaling partner PIK3CA might predict EGFR-inhibitor-related skin rash.

Information about therapeutic serum levels of fluoxetine (FLX) and its major metabolite norfluoxetine (NORFLX) in children and adolescents is scarce. Therapeutic drug monitoring (TDM) of FLX was routinely performed in 71 subjects treated for a major depressive disorder (MDD) (10–60 mg/d FLX, median: 20 mg/d). Correlations between serum concentration and dosage, age, gender, smoking habits and adverse events were analysed. Serum concentrations of the active moiety (FLX + NORFLX) ranged from 21 to 613 ng/mL (mean concentration of 213±118 ng/mL, median: 185 ng/mL). High inter-individual variability in serum concentrations of the active moiety of FLX at each dosage level was observed and no relationship between serum concentration and clinical outcome was found. Apart from smoking, none of the factors tested had a significant effect on the serum concentration. It was shown that serum concentrations of the active moiety of FLX in children and adolescents seem to be similar to those in adults, with a high level of inter-individual variation. The proportion of patients who showed benefits from treatment with a dose of 20 mg/d FLX was high.

Sexual dysfunction is a common side effect of selective serotonin reuptake inhibitors (SSRIs) like paroxetine in the treatment of depression, imposing a considerable risk on medication adherence and hence therapeutic success. Bupropion, a norepinephrine and dopamine reuptake inhibitor, is recommended as an alternative treatment without adverse effects concerning sexual arousal and libido. We investigated the neural bases of paroxetine-related subjective sexual dysfunction when compared with bupropion and placebo. We scanned 18 healthy, heterosexual males in a randomized, double-blind, within-subject design while watching video clips of erotic and nonerotic content under steady-state conditions after taking 20 mg of paroxetine, 150 mg of bupropion, and placebo for 7 days each. Under paroxetine, ratings of subjective sexual dysfunction increased compared with placebo or bupropion. Activation along the anterior cingulate cortex (ACC), including subgenual, pregenual, and midcingulate cortices, in the ventral striatum and midbrain was decreased when compared with placebo. In contrast, bupropion let subjective ratings and ACC activations unchanged and increased activity of brain regions including posterior midcingulate cortex, mediodorsal thalamus, and extended amygdala relative to placebo and paroxetine. Brain regions that have been related to the processing of motivational (ventral striatum), emotional, and autonomic components of erotic stimulation (anterior cingulate) in previous studies showed reduced responsiveness under paroxetine in our study. Drug effects on these regions may be part of the mechanism underlying SSRI-related sexual dysfunction. Increased activation under bupropion may point to an opposite effect that may relate to the lack of impaired sexual functioning.

Aims: Selective serotonin reuptake inhibitors (SSRIs) are the most commonly used class of antidepressants for treating major depression. However, approximately 30% of patients do not respond sufficiently to first-line antidepressant drug treatment and require alternative therapeutics. Genome-wide studies searching for SSRI response DNA biomarkers or studies of candidate serotonin-related genes so far have given inconclusive or contradictory results. Here, we present an alternative transcriptome-based genome-wide approach for searching antidepressant drug-response biomarkers by using drug-effect phenotypes in human lymphoblastoid cell lines (LCLs). Materials & methods: We screened 80 LCLs from healthy adult female individuals for growth inhibition by paroxetine. A total of 14 LCLs with reproducible high and low sensitivities to paroxetine (seven from each phenotypic group) were chosen for genome-wide expression profiling with commercial microarrays. Results: The most notable genome-wide transcriptome difference between LCLs displaying high versus low paroxetine sensitivities was a 6.3-fold lower (p = 0.0000256) basal expression of CHL1, a gene coding for a neuronal cell adhesion protein implicated in correct thalamocortical circuitry, schizophrenia and autism. The microarray findings were confirmed by real-time PCR (36-fold lower CHL1 expression levels in the high paroxetine sensitivity group). Several additional genes implicated in synaptogenesis or in psychiatric disorders, including ARRB1, CCL5, DDX60, DDX60L, ENDOD1, ENPP2, FLT1, GABRA4, GAP43, MCTP2 and SPRY2, also differed by more than 1.5-fold and a p-value of less than 0.005 between the two paroxetine sensitivity groups, as confirmed by real-time PCR experiments. Conclusion: Genome-wide transcriptional profiling of in vitro phenotyped LCLs identified CHL1 and additional genes implicated in synaptogenesis and brain circuitry as putative SSRI response biomarkers. This method might be used as a preliminary tool for searching for potential depression treatment biomarkers. Original submitted 7th September 2010; Revision submitted 15th November 2010.

The pharmacokinetics of repaglinide shows pronounced interindividual variability, for which several reasons have been considered, including interactions with drugs inhibiting CYP2C8 and CYP2C8 genetic polymorphism. However, existing data on the role of genetic polymorphisms in repaglinide disposition are not fully consistent. We studied the effect of CYP2C8*3 on the pharmacokinetics and pharmacodynamics of repaglinide in 29 healthy whites carrying CYP2C8*3/*3 (n = 4), CYP2C8*1/*3 (n = 13), or CYP2C8*1/*1 (n = 12). After administration of a single dose of 2 mg of repaglinide, blood was drawn for assessment of repaglinide pharmacokinetics and pharmacodynamics, and urine was collected to quantify the main repaglinide metabolites M1 and M4 up to 24 h postdose. Repaglinide and the metabolites were quantified by liquid chromatography-tandem mass spectrometry. Considering only the effect of CYP2C8*3, the mean (95% confidence interval) area under the time-concentration curve (AUC) from zero to infinity of repaglinide was 72.4 (6.7-138.0), 97.2 (59.2-135.2), and 105.9 (52.4-159.3) ng · ml(-1) · h and the maximal concentration (C(max)) was 38.5 (3.8-73.2), 50.3 (37.5-63.0), and 60.3 (31.5-89.1) ng · ml(-1), respectively, in carriers of CYP2C8*3/*3, CYP2C8*1/*3, and CYP2C8*1/*1 [p > 0.05, one-way analysis of variance (ANOVA)]. In addition, for urinary metabolite excretion and pharmacodynamic parameters, i.e., mean and maximal changes in insulin and glucose concentration, no significant differences between CYP2C8 genotypes were observed. Likewise, no significant effects on the pharmacokinetics or pharmacodynamics were observed when AUC and C(max) of repaglinide were corrected for reported effects of the SLCO1B1 521T>C polymorphism or when both polymorphisms were tested in a two-way ANOVA. In conclusion, CYP2C8*3 does not seem to play an important role in the pharmacokinetics and pharmacodynamics of repaglinide given in a therapeutic dose.

The established risk factors for severe sulfonylurea-induced hypoglycemia (SH) include low hemoglobin (Hb)A(1c), advanced age, long duration of diabetes, multimorbidity, and polypharmacy. As the genetically polymorphic cytochrome P450 (CYP), enzyme CYP2C9 is mainly responsible for the hepatic metabolism of sulfonylureas (SUs), we hypothesized that the slow-metabolizer genotypes *2/*2, *2/*3, and *3/*3 might be overrepresented in type 2 diabetic patients with SH.In a prospective population-based case-control study, CYP2C9 allelic variants of 102 diabetic patients with SH were compared with a matched group of 101 SU-treated patients without a history of SH. The 203 Caucasian patients had been treated with the SUs glimepiride, glibenclamide, or gliquidone. SH was defined as a symptomatic event requiring treatment with intravenously administered glucose and was confirmed by a blood glucose measurement of50 mg/dl (2.8 mmol/l). As two control groups, we selected 337 Caucasian diabetic patients receiving antidiabetic drugs per os and 1,988 healthy Caucasian volunteers who had been genotyped earlier.In the univariate analysis, only a low HbA(1c) value (p = 0.0004) was shown as a risk factor for SH. There was no overrepresentation of the CYP2C9 *2/*2, *2/*3, and *3/*3 variants in the SH group (2%) compared with the control group (5%). However, in the control group, patients with CYP2C9 genotypes, predicting slower metabolism of SU drugs, were treated with significantly lower doses (p = 0.027) than were extensive metabolizers, whereas in the patient group with severe hypoglycemia, the dose was the same for all genotype groups.In the present cohort of 102 patients with SH, a low HbA(1c) value was related to the risk for SH. There was no overrepresentation observed of the CYP2C9 slow-metabolizer genotypes in the hypoglycemic patients group, but the drug exposure in the slow-metabolizer genotypes was estimated to be higher in hypoglycemic patients, which might partly have contributed to their risk for SH.

The growing interest in incorporating pharmacogenetics (PGx) into drug development and clinical practice raises several questions: which study designs best reveal relevant pharmacogenetic biomarkers, best clarify specific hypotheses in PGx, and result in the largest gain of clinical evidence in this field? In this review, we present and compare a variety of PGx-related study designs. The type and quality of evidence gained by each category of study design is evaluated, and an appropriate timeline for the integration of pharmacogenetic studies into drug development is proposed. A summary of the pros and cons of the different study designs might help investigators decide how best to incorporate PGx into drug research. Using different scenarios to explain how genetic polymorphisms influence drug action, we illustrate how this knowledge can be translated into individualized drug choices, individualized dosage determination based on pharmacogenetic diagnostics, and other types of monitoring in order to make drug therapies safer and more effective.

The cytochrome P450 2D6 (CYP2D6) polymorphism was reported to have a significant impact on outcome of tamoxifen treatment in estrogen receptor positive breast cancer patients. The objective of this study was to explore the effect of the CYP2D6*4 polymorphism on tamoxifen treatment outcome in a cohort of patients from a single clinical trial which included women with a history of previous chemotherapy.A total of 493 patients of the Austrian TIGER study receiving adjuvant tamoxifen therapy were studied for this pharmacogenetic interaction. All women with estrogen receptor positive tumors and tamoxifen therapy longer than 6 months were genotyped for CYP2D6*4 using TaqMan technology. Time to tumor progression, defined as local, regional, distant recurrence or contralateral breast cancer and progression free survival, was analyzed.No significant difference in time to tumor progression or progression free survival between the CYP2D6*4 genotype groups in the overall study cohort was found. In a subgroup of patients treated with chemotherapy the CYP2D6*4 poor metabolizers had a tendency towards a shorter mean time to progression. In this group the mean time to tumor progression and the progression free survival were 1.0 years in the CYP2D6*4/*4 group, 6.3 years in the *1/*4 group and 4.97 years in the *1/*1 group (Wilcoxon p = 0.104).While earlier data on CYP2D6 and tamoxifen excluded women with prior chemotherapy, the present analysis suggests that CYP2D6*4 genotype might be particularly crucial in this group of high-risk patients. Key limitations are restriction to the CYP2D6*4 allele and missing data of comedication.

The current therapy success of depressive disorders remains in need of improvement due to low response rates and a delay in symptomatic improvement. Reliable functional biomarkers would be necessary to predict the individual treatment outcome. On the basis of the neurotrophic hypothesis of antidepressant’s action, effects of antidepressant drugs on proliferation may serve as tentative individual markers for treatment efficacy. We studied individual differences in antidepressant drug effects on cell proliferation and gene expression in lymphoblastoid cell lines (LCLs) derived from patients treated for depression with documented clinical treatment outcome. Cell proliferation was characterized by EdU (5-ethynyl-2'-deoxyuridine) incorporation assays following a 3-week incubation with therapeutic concentrations of fluoxetine. Genome-wide expression profiling was conducted by microarrays, and candidate genes such as betacellulin—a gene involved in neuronal stem cell regeneration—were validated by quantitative real-time PCR. Ex vivo assessment of proliferation revealed large differences in fluoxetine-induced proliferation inhibition between donor LCLs, but no association with clinical response was observed. Genome-wide expression analyses followed by pathway and gene ontology analyses identified genes with different expression before vs after 21-day incubation with fluoxetine. Significant correlations between proliferation and gene expression of WNT2B, FZD7, TCF7L2, SULT4A1 and ABCB1 (all involved in neurogenesis or brain protection) were also found. Basal gene expression of SULT4A1 (P=0.029), and gene expression fold changes of WNT2B by ex vivo fluoxetine (P=0.025) correlated with clinical response and clinical remission, respectively. Thus, we identified potential gene expression biomarkers eventually being useful as baseline predictors or as longitudinal targets in antidepressant therapy.

Aim: To identify genomic variants in the EGFR pathway and in cytokines predisposing to skin toxicity from EGFR inhibitors. Patients & methods: In 126 patients with cancer and EGFR inhibitor therapy skin toxicity was quantified and EGFR and inflammatory pathway genes were analyzed by deep sequencing. Results: We found 1437 SNPs in the 382-kb target region. Three SNPs in EGFR intron 1 were found exclusively in patients without skin rash. Another EGFR intron 23 SNP was associated with skin rash, overall survival and IL8 plasma concentrations. Moreover, carriers of the PIK3R1 326I variant were predisposed to skin rash and better survival. Conclusion: Comprehensive pathway-based resequencing revealed some new but only moderately strong genomic predictors of skin toxicity.

Drug safety and efficacy are highly variable among patients. Most patients will experience the desired drug effect, but some may suffer from adverse drug reactions or gain no benefit. Pharmacogenetic testing serves as a pre-treatment diagnostic option in situations where failure or adverse events should be avoided at all costs. One such situation is human space flight. On the international space station (ISS), a list of drugs is available to cover typical emergency settings, as well as the long-term treatment of common conditions for the use in self-medicating common ailments developing over a definite period. Here, we scrutinized the list of the 78 drugs permanently available at the ISS (year 2014) to determine the extent to which their metabolism may be affected by genetic polymorphisms, potentially requiring genotype-specific dosing or choice of an alternative drug. The purpose of this analysis was to estimate the potential benefit of pharmacogenetic diagnostics in astronauts to prevent therapy failure or side effects.

The Pharmacovigilance Risk Assessment Committee (PRAC) of the European Medicines Agency has issued European-wide restrictions on the use of codeine-containing medicines for cough and cold in children at the age of 0-12 because of the risk of serious side effects, including the risk of breathing problems. The PRAC further recommended that "codeine must not be used in people of any age who are known to convert codeine into morphine at a faster rate than normal ('ultra-rapid metabolisers')". The reasons for this variability in codeine biotransformation lay in a genetic polymorphism in the liver enzyme CYP2D6 leading to 3% of the northern European population being ultrarapid metabolisers due to a gene duplication of the enzyme.This is the first restriction of a common drug in CYP2D6 ultrarapid metabolizers, and more use of pharmacogenetic biomarkers for stratified benefit-risk assessment in drug regulation can be expected and will be a first step to Individualized Medicine Regulation.

Background The innate immune receptor RIG-I detects viral RNA within the cytosol of infected cells. Activation of RIG-I leads to the induction of antiviral cytokines, in particular type I interferon, the inhibition of a T(H)17 response as well as to the suppression of tumor growth. Therefore, RIG-I is a promising drug target for the treatment of cancer as well as multiple sclerosis. A specific ligand for RIG-I is currently in preclinical testing. The first-in-human trial will need to be carefully designed to avoid an overshooting cytokine response. Therefore, the ResI study was set up to analyze the human immune response to standard treatment with recombinant interferon-beta to establish biomarkers for safety and efficacy of the upcoming first-in-human trial investigating the RIG-I ligand. Methods/Design ResI is a single center, prospective, open label, non-randomized phase I clinical trial. Three different cohorts (20 healthy volunteers, 20 patients with RRMS and ongoing interferon-beta treatment and 10 patients starting on interferon-beta) will receive standard interferon-beta-1a therapy for nine days. The study will be conducted according to the principles of the german medicinal products act, ICH-GCP, and the Declaration of Helsinki on the phase I unit of the Institute of Clinical Chemistry and Clinical Pharmacology and in the Department of Neurology, both University Hospital Bonn. Interferon-beta-induced cytokine levels, surface marker on immune cells, mRNA- and miRNA-expression as well as psychometric response will be investigated as target variables. Discussion The ResI study will assess biomarkers in response to interferon-β treatment to guide the dose steps within the first-in-human trial with a newly developed RIG-I ligand. Thus, ResI is a biomarker study to enhance the safety of the clinical development of a first-in-class compound. The data can additionally be used for the development of other therapies based on type I interferon induction such as TLR ligands. Moreover, it will help to understand the interferon-beta induced immune response in a controlled in vivo setting in the human system. Trial registration clinicaltrials.gov ID NCT02364986

Drug-effect phenotypes in human lymphoblastoid cell lines recently allowed to identify CHL1 (cell adhesion molecule with homology to L1CAM), GAP43 (growth-associated protein 43) and ITGB3 (integrin beta 3) as new candidates for involvement in the antidepressant effect. CHL1 and ITGB3 code for adhesion molecules, while GAP43 codes for a neuron-specific cytosolic protein expressed in neuronal growth cones; all the three gene products are involved in synaptic plasticity. Sixteen polymorphisms in these genes were genotyped in two samples (n = 369 and 90) with diagnosis of major depressive episode who were treated with antidepressants in a naturalistic setting. Phenotypes were response, remission and treatment-resistant depression. Logistic regression including appropriate covariates was performed. Genes associated with outcomes were investigated in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) genome-wide study (n = 1861) as both individual genes and through a pathway analysis (Reactome and String databases). Gene-based analysis suggested CHL1 rs4003413, GAP43 rs283393 and rs9860828, ITGB3 rs3809865 as the top candidates due to their replication across the largest original sample and the STAR*D cohort. GAP43 molecular pathway was associated with both response and remission in the STAR*D, with ELAVL4 representing the gene with the highest percentage of single nucleotide polymorphisms (SNPs) associated with outcomes. Other promising genes emerging from the pathway analysis were ITGB1 and NRP1. The present study was the first to analyze cell adhesion genes and their molecular pathways in antidepressant response. Genes and biomarkers involved in neuronal adhesion should be considered by further studies aimed to identify predictors of antidepressant response. Drug-effect phenotypes in human lymphoblastoid cell lines recently allowed to identify CHL1 (cell adhesion molecule with homology to L1CAM), GAP43 (growth-Associated protein 43) and ITGB3 (integrin beta 3) as new candidates for involvement in the antidepressant effect. CHL1 and ITGB3 code for adhesion molecules, while GAP43 codes for a neuron-specific cytosolic protein expressed in neuronal growth cones; all the three gene products are involved in synaptic plasticity. Sixteen polymorphisms in these genes were genotyped in two samples (n=369 and 90) with diagnosis of major depressive episode who were treated with antidepressants in a naturalistic setting. Phenotypes were response, remission and treatment-resistant depression. Logistic regression including appropriate covariates was performed. Genes associated with outcomes were investigated in the Sequenced Treatment Alternatives to Relieve Depression (STAR∗D) genome-wide study (n=1861) as both individual genes and through a pathway analysis (Reactome and String databases). Gene-based analysis suggested CHL1 rs4003413, GAP43 rs283393 and rs9860828, ITGB3 rs3809865 as the top candidates due to their replication across the largest original sample and the STAR∗D cohort. GAP43 molecular pathway was associated with both response and remission in the STAR∗D, with ELAVL4 representing the gene with the highest percentage of single nucleotide polymorphisms (SNPs) associated with outcomes. Other promising genes emerging from the pathway analysis were ITGB1 and NRP1. The present study was the first to analyze cell adhesion genes and their molecular pathways in antidepressant response. Genes and biomarkers involved in neuronal adhesion should be considered by further studies aimed to identify predictors of antidepressant response.

Numerous studies in the field of psychopharmacological treatment have investigated the possible contribution of genetic variability between individuals to differences in drug efficacy and safety, motivated by the wide individual variation in treatment response. Genomewide analyses have been conducted in several large-scale studies on antidepressant drug response. However, no consistent findings have emerged from these studies. In a recent meta-analysis of genomewide data from the three studies capturing common variation for association with symptomatic improvement and remission revealed the absence of any strong genetic association and failed to replicate results of individual studies in the pooled data. However, there are good reasons to consider the possible importance of pharmacogenetic variants separately. These variants explain a large portion of the manifold variability in individual drug metabolism. More than 20 psychotropic drugs have now been relabelled by the FDA adding information on polymorphic drug metabolism and therapeutic recommendations. Furthermore, dose recommendations for polymorphisms in drug metabolizing enzymes, first and foremost CYP2D6 and CYP2C19, have been issued with the advice to reduce the dosage in poor metabolizers to 50% or less (in eight cases), or to choose an alternative treatment. Beside the well-described role in hepatic drug metabolism, these enzymes are also expressed in the brain and play a role in biotransformation of endogenous substrates. These polymorphisms may therefore modulate brain metabolism and affect the function of the neural substrates of cognition and emotion.

Venlafaxine (VEN) is a serotonin–norepinephrine reuptake inhibitor marketed for the treatment of depression disorders. The molecular targets of VEN are the solute carrier family 6 (neurotransmitter transporter, serotonin), member 4 (SLC6A4), and solute carrier family 6 (neurotransmitter transporter, noradrenalin), member 2 (SLC6A2), resulting in an inhibition of serotonin and noradrenaline reuptake from the synaptic cleft. VEN also slightly inhibits dopamine reuptake. Therefore, those substances are available prolonged in the synaptic cleft for serotonergic and noradrenergic neurotransmission. VEN consists of a racemic mixture of R(+) and S(−) enantiomer. The (R) enantiomer has been shown to show greater serotonin reuptake inhibition property, whereas the (S) enantiomer inhibits the reuptake of both monoamines [1,2].

The BDNF Val66Met polymorphism has been linked to decreased synaptic plasticity involved in motor learning tasks. We investigated whether individual differences in this polymorphism may promote differences in neural activity during a two-alternative forced-choice motor performance. In two separate sessions, the BOLD signal from 22 right-handed healthy men was measured during button presses with the left and right index finger upon visual presentation of an arrow. 11 men were Val66Val carriers (ValVal group), the other 11 men carried either the Val66Met or the Met66Met polymorphism (Non-ValVal group). Reaction times, resting and active motor thresholds did not differ between ValVal and Non-ValVal groups. Compared to the ValVal group the Non-ValVal group showed significantly higher BOLD signals in the right SMA and motor cingulate cortex during motor performance. This difference was highly consistent for both hands and across all four sessions. Our finding suggests that this BDNF polymorphism may not only influence complex performance during motor learning but is already associated with activation differences during rather simple motor tasks. The higher BOLD signal observed in Non-ValVal subjects suggests the presence of cumulative effects of the polymorphism on the motor system, and may reflect compensatory functional activation mediating equal behavioral performance between groups.

Background A selective and sensitive high-performance liquid chromatographic method with fluorescence detection after postcolumn reduction is described for the routine measurement of vitamin K1 in plasma samples of 100 µL of volume. Methods Liquid-liquid extraction was used for the sample preparation with vitamin K2 as an internal standard. For the chromatographic separation, a standard C18 column was applied. The calibration range used was from 2 to 500 ng/mL. Results At the low level (5 ng/mL), a coefficient of variation of 14.9% was observed interday in the quality control samples, whereas at the intermediate (50 ng/mL) and high (200 ng/mL) levels such of 6.8% and 8.7% were found. Conclusions The method has proven robust and convenient for the analysis of samples from clinical pharmacological studies.

We investigated whether morphine and its pro-drug codeine are substrates of the highly genetically polymorphic organic cation transporter OCT1 and whether OCT1 polymorphisms may affect morphine and codeine pharmacokinetics in humans. Morphine showed low transporter-independent membrane permeability (0.5 × 10 −6 cm/s). Morphine uptake was increased up to 4-fold in HEK293 cells overexpressing human OCT1. The increase was concentration-dependent and followed Michaelis-Menten kinetics ( K M = 3.4 μM, V MAX = 27 pmol/min/mg protein). OCT1-mediated morphine uptake was abolished by common loss-of-function polymorphisms in the OCT1 gene and was strongly inhibited by drug-drug interactions with irinotecan, verapamil and ondansetron. Morphine uptake in primary human hepatocytes was strongly reduced by MPP + , an inhibitor of organic cation transporters, and morphine was not a substrate of OCT3, the other organic cation transporter expressed in human hepatocytes. In concordance with the in vitro data, morphine plasma concentrations in healthy volunteers were significantly dependent on OCT1 polymorphisms. After codeine administration, the mean AUC of morphine was 56% higher in carriers of loss-of-function OCT1 polymorphisms compared to non-carriers ( P = 0.005). The difference remained significant after adjustment for CYP2D6 genotype ( P = 0.03). Codeine itself had high transporter-independent membrane permeability (8.2 × 10 −6 cm/s). Codeine uptake in HEK293 cells was not affected by OCT1 overexpression and OCT1 polymorphisms did not affect codeine AUCs. In conclusion, OCT1 plays an important role in the hepatocellular uptake of morphine. Carriers of loss-of-function OCT1 polymorphisms may be at higher risk of adverse effects after codeine administration, especially if they are also ultra-rapid CYP2D6 metabolizers.

The International Tamoxifen Pharmacogenomics Consortium was established to address the controversy regarding cytochrome P450 2D6 (CYP2D6) status and clinical outcomes in tamoxifen therapy. We performed a meta-analysis on data from 4,973 tamoxifen-treated patients (12 globally distributed sites). Using strict eligibility requirements (postmenopausal women with estrogen receptor-positive breast cancer, receiving 20 mg/day tamoxifen for 5 years, criterion 1); CYP2D6 poor metabolizer status was associated with poorer invasive disease-free survival (IDFS: hazard ratio = 1.25; 95% confidence interval = 1.06, 1.47; P = 0.009). However, CYP2D6 status was not statistically significant when tamoxifen duration, menopausal status, and annual follow-up were not specified (criterion 2, n = 2,443; P = 0.25) or when no exclusions were applied (criterion 3, n = 4,935; P = 0.38). Although CYP2D6 is a strong predictor of IDFS using strict inclusion criteria, because the results are not robust to inclusion criteria (these were not defined a priori), prospective studies are necessary to fully establish the value of CYP2D6 genotyping in tamoxifen therapy.

Polymorphisms in CYP2D6 and CYP2C19 affect the efficacy and safety of tricyclics, with some drugs being affected by CYP2D6 only, and others by both polymorphic enzymes. Amitriptyline, clomipramine, doxepin, imipramine, and trimipramine are demethylated by CYP2C19 to pharmacologically active metabolites. These drugs and their metabolites, along with desipramine and nortriptyline, undergo hydroxylation by CYP2D6 to less active metabolites. Evidence from published literature is presented for CYP2D6 and CYP2C19 genotype-directed dosing of tricyclic antidepressants.

Because of the large variation in the response to psychoactive medication, many studies have attempted to uncover genetic factors that determine response. While considerable knowledge exists on the large effects of genetic polymorphisms on pharmacokinetics and plasma concentrations of drugs, effects of the concentration at the target site and pharmacodynamic effects on brain functions in disease are much less known. This article reviews the role of magnetic resonance imaging (MRI) to visualize response to medication in brain behaviour circuits in vivo in humans and assess the influence of pharmacogenetic factors. Two types of studies have been used to characterize effects of medication and genetic variation. In task-related activation studies the focus is on changes in the activity of a neural circuit associated with a specific psychological process. The second type of study investigates resting state perfusion. These studies provide an assessment of vascular changes associated with bioavailability of drugs in the brain, but may also assess changes in neural activity after binding of centrally active agents. Task-related pharmacogenetic studies of cognitive function have characterized the effects in the prefrontal cortex of genetic polymorphisms of dopamine receptors (DRD2), metabolic enzymes (COMT) and in the post-synaptic signalling cascade under the administration of dopamine agonists and antagonists. In contrast, pharmacogenetic imaging with resting state perfusion is still in its infancy. However, the quantitative nature of perfusion imaging, its non-invasive character and its repeatability might be crucial assets in visualizing the effects of medication in vivo in man during therapy.

Designing clinical studies that show reproducible impacts of human genetic polymorphisms on drug therapy is a major challenge. Even more challenging is the design of studies proving that the use of pharmacogenetic diagnostics does improve clinical outcomes, because traditional study approaches do not have sufficient power to study drug efficacy in rare genetic subgroups, and financial resources for research on marketed drugs are limited compared to the development of new drugs. In this chapter, we compare the study designs used in clinical pharmacogenetic research, with a brief explanation and a summary of the pros and cons of the different designs. We also discuss why current evidence-based medicine concepts of proving the value of a new therapy may not always be applicable in individualized medicine and alternative paths that should be explored.

Aim: Over 30% of patients with major depression do not respond well to first-line treatment with selective serotonin reuptake inhibitors (SSRIs). Using genome-wide expression profiling of human lymphoblastoid cell lines (LCLs) CHL1 was identified as a tentative SSRI sensitivity biomarker. This study reports on miRNAs implicated in SSRI sensitivity of LCLs. Methods: Eighty LCLs were screened from healthy adult female individuals for growth inhibition by paroxetine. Eight LCLs exhibiting high or low sensitivities to paroxetine were chosen for genome-wide expression profiling with miRNA microarrays. Results: The miRNA miR-151-3p had 6.7-fold higher basal expression in paroxetine-sensitive LCLs. This corresponds with lower expression of CHL1, a target of miR-151-3p. The additional miRNAs miR-212, miR-132, miR-30b*, let-7b and let-7c also differed by >1.5-fold (p < 0.05) between the two LCL groups. Conclusion: The potential value of these miRNAs as tentative SSRI response biomarkers awaits validation with lymphocyte samples of major depression patients. Original submitted 28 March 2012; Revision submitted 21 May 2012

Previous studies have demonstrated variable influences of sexual hormonal states on female brain activation and the necessity to control for these in neuroimaging studies. However, systematic investigations of these influences, particularly those of hormonal contraceptives as compared to the physiological menstrual cycle are scarce. In the present study, we investigated the hormonal modulation of neural correlates of erotic processing in a group of females under hormonal contraceptives (C group; N = 12), and a different group of females (nC group; N = 12) not taking contraceptives during their mid-follicular and mid-luteal phases of the cycle. We used functional magnetic resonance imaging to measure hemodynamic responses as an estimate of brain activation during three different experimental conditions of visual erotic stimulation: dynamic videos, static erotic pictures, and expectation of erotic pictures. Plasma estrogen and progesterone levels were assessed in all subjects. No strong hormonally modulating effect was detected upon more direct and explicit stimulation (viewing of videos or pictures) with significant activations in cortical and subcortical brain regions previously linked to erotic stimulation consistent across hormonal levels and stimulation type. Upon less direct and less explicit stimulation (expectation), activation patterns varied between the different hormonal conditions with various, predominantly frontal brain regions showing significant within- or between-group differences. Activation in the precentral gyrus during the follicular phase in the nC group was found elevated compared to the C group and positively correlated with estrogen levels. From the results we conclude that effects of hormonal influences on brain activation during erotic stimulation are weak if stimulation is direct and explicit but that female sexual hormones may modulate more subtle aspects of sexual arousal and behaviour as involved in sexual expectation. Results may provide a basis for future imaging studies on sexual processing in females, especially in the context of less explicit erotic stimulation.

Polymorphic drug-metabolizing enzymes (DMEs) are responsible for the metabolism of the majority of psychotropic drugs. By explaining a large portion of variability in individual drug metabolism, pharmacogenetics offers a diagnostic tool in the burgeoning era of personalized medicine. This review updates existing evidence on the influence of pharmacogenetic variants on drug exposure and discusses the rationale for genetic testing in the clinical context. Dose adjustments based on pharmacogenetic knowledge are the first step to translate pharmacogenetics into clinical practice. However, also clinical factors, such as the consequences on toxicity and therapeutic failure, must be considered to provide clinical recommendations and assess the cost-effectiveness of pharmacogenetic treatment strategies. DME polymorphisms are relevant not only for clinical pharmacology and practice but also for research in psychiatry and neuroscience. Several DMEs, above all the cytochrome P (CYP) enzymes, are expressed in the brain, where they may contribute to the local biochemical homeostasis. Of particular interest is the possibility of DMEs playing a physiological role through their action on endogenous substrates, which may underlie the reported associations between genetic polymorphisms and cognitive function, personality and vulnerability to mental disorders. Neuroimaging studies have recently presented evidence of an effect of the CYP2D6 polymorphism on basic brain function. This review summarizes evidence on the effect of DME polymorphisms on brain function that adds to the well-known effects of DME polymorphisms on pharmacokinetics in explaining the range of phenotypes that are relevant to psychiatric practice.

In this chapter, the metabolism of psychotropic drugs is explained. The most important enzymes are the polymorphic cytochrome P450 enzymes CYP2D6, CYP2C19, and CYP2C9. The functional impact of other drug-metabolizing enzymes including CYP1A2, CYP2A6, CYP2B6, CYP3A4, CYP3A5, and CYP3A7 or phase II enzymes in psychopharmacology is less, but some agents are cleared predominantly by the latter pathways. The clinical importance of drug metabolism is mainly determined by alteration of the individual activity of a relevant drug-metabolizing enzyme. This is frequently the case in drug–drug interactions leading to enzyme inhibition or enzyme induction. Alternatively, individual patient factors such as pharmacogenetic polymorphisms may contribute to variability in CYP isozyme activity. In this chapter, specific metabolism of antidepressant and antipsychotic drugs is presented for the main CYP enzymes CYP2D6, CYP2C19, CYP2C9, and CYP1A2 and the impact of genetic polymorphisms in these enzymes is pointed out. As many psychotropic drugs are metabolized to equally active metabolites, more than one CYP isoform may be important in metabolism and exposure data of both metabolite and parent drug have to be taken into account. For many antidepressants or antipsychotic drugs, therapeutic drug monitoring is practiced regularly. Keywords: psychotropic drugs; antidepressants; antipsychotics; genetic polymorphism; cytochrome P450 2D6; CYP2C19; CYP2C9

The objectives of this study were to evaluate 1) the prevalence of chronic and neuropathic pain features (NeP); 2) their comorbidities with psychiatric disorders and organic diseases; and 3) their impact on daily life and health care utilization. A random sample of 3011 participants (≥15 years), representative of Germany, was interviewed by telephone. Chronic pain duration was set at three months. Neuropathy, frequency, severity, duration, impacts on functioning, and health care utilizations were investigated. Psychiatric disorders were assessed using DSM-IV-TR criteria. ICD-10 was used for organic diseases. Overall, 26.8% (95% confidence interval: 25.2-28.4%) of the sample reported having pain; 1.9% had acute pain (i.e., lasting less than three months), setting the prevalence of chronic pain at 24.9%. More precisely, 18.4% of the sample had non-neuropathic chronic pain (non-NeP) and 6.5% had NeP features. NeP presented several differences from non-NeP: individuals NeP features reported higher pain severity and higher interference of pain in daily activities compared to the non-NeP group. Individuals suffering from a major depressive disorder were three times more likely to have non-NeP and six times more likely to have NeP features. Individuals with obesity, diabetes, hypertension, cerebrovascular diseases, diseases of the nervous system, and diseases of the blood and blood-forming organs were at higher risk of having NeP but not non-NeP. These differences in prevalence and comorbidities between non-NeP and NeP features show how important it is to regard these different modalities of pain separately. Participants with NeP features suffer more and have greater impairment in their daily life than those with non-NeP.

We investigated whether tramadol or its active metabolite, O-desmethyltramadol, are substrates of the organic cation transporter OCT1 and whether polymorphisms in OCT1 affect tramadol and O-desmethyltramadol pharmacokinetics. Tramadol showed high permeability through parallel artificial membrane permeability assays (PAMPAs). Tramadol uptake in HEK293 cells did not change after OCT1 overexpression, and the concentrations of tramadol in the plasma of healthy volunteers were independent of their OCT1 genotypes. In contrast, O-desmethyltramadol showed low membrane permeability, and OCT1 overexpression increased O-desmethyltramadol uptake 2.4-fold. This increase in uptake was reversed by OCT1 inhibitors and absent when loss-of-function OCT1 variants were overexpressed. Volunteers carrying loss-of-function OCT1 polymorphisms had significantly higher plasma concentrations of O-desmethyltramadol (P = 0.002, n = 41) and significantly prolonged miosis, a surrogate marker of opioidergic effects (P = 0.005, n = 24). In conclusion, polymorphisms in OCT1 influence the pharmacokinetics of O-desmethyltramadol, presumably by affecting its uptake into liver cells, and thus may modulate the efficacy of tramadol treatment.