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Dive into the research topics where Daniel J. Müller is active.

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Featured researches published by Daniel J. Müller.


Clinical Pharmacology & Therapeutics | 2013

Clinical Pharmacogenetics Implementation Consortium Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Tricyclic Antidepressants

J K Hicks; Jesse J. Swen; Caroline F. Thorn; Evan D. Kharasch; V L Ellingrod; Todd C. Skaar; Daniel J. Müller; Andrea Gaedigk; Julia C. Stingl

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.


Cellular Physiology and Biochemistry | 2007

Molecular Mechanisms of Schizophrenia

Undine E. Lang; Imke Puls; Daniel J. Müller; Nathalie Strutz-Seebohm; Jürgen Gallinat

Schizophrenia is a complex disorder, where family, twin and adoption studies have been demonstrating a high heritability of the disease and that this disease is not simply defined by several major genes but rather evolves from addition or potentiation of a specific cluster of genes, which subsequently determines the genetic vulnerability of an individual. Linkage and association studies suggest that a genetic vulnerablility, is not forcefully leading to the disease since triggering factors and environmental influences, i.e. birth complications, drug abuse, urban background or time of birth have been identified. This has lead to the assumption that schizophrenia is not only a genetically defined static disorder but a dynamic process leading to dysregulation of multiple pathways. There are several different hypothesis based on several facets of the disease, some of them due to the relatively well-known mechanisms of therapeutic agents. The most widely considered neurodevelopmental hypothesis of schizophrenia integrates environmental influences and causative genes. The dopamine hypothesis of schizophrenia is based on the fact that all common treatments involve antidopaminergic mechanisms and genes such as DRD2, DRD3, DARPP-32, BDNF or COMT are closely related to dopaminergic system functioning. The glutamatergic hypothesis of schizophrenia lead recently to a first successful mGlu2/3 receptor agonistic drug and is underpinned by significant findings in genes regulating the glutamatergic system (SLC1A6, SLC1A2 GRIN1, GRIN2A, GRIA1, NRG1, ErbB4, DTNBP1, DAAO, G72/30, GRM3). Correspondingly, GABA has been proposed to modulate the pathophysiology of the disease which is represented by the involvement of genes like GABRA1, GABRP, GABRA6 and Reelin. Moreover, several genes implicating immune, signaling and networking deficits have been reported to be involved in the disease, i.e. DISC1, RGS4, PRODH, DGCR6, ZDHHC8, DGCR2, Akt, CREB, IL-1B, IL-1RN, IL-10, IL-1B. However, molecular findings suggest that a complex interplay between receptors, kinases, proteins and hormones is involved in schizophrenia. In a unifying hypothesis, different cascades merge into another that ultimately lead to the development of symptoms adherent to schizophrenic disorders.


Clinical Pharmacology & Therapeutics | 2012

Clinical Pharmacogenetics Implementation Consortium Guidelines for HLA‐B Genotype and Carbamazepine Dosing

S G Leckband; J R Kelsoe; H M Dunnenberger; Alfred L. George; E Tran; R Berger; Daniel J. Müller; Michelle Whirl-Carrillo; Kelly E. Caudle; Munir Pirmohamed

Human leukocyte antigen B (HLA‐B) is a gene that encodes a cell surface protein involved in presenting antigens to the immune system. The variant allele HLA‐B*15:02 is associated with an increased risk of Stevens–Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) in response to carbamazepine treatment. We summarize evidence from the published literature supporting this association and provide recommendations for the use of carbamazepine based on HLA‐B genotype (also available on PharmGKB: http://www.pharmgkb.org). The purpose of this article is to provide information to allow the interpretation of clinical HLA‐B*15:02 genotype tests so that the results can be used to guide the use of carbamazepine. The guideline provides recommendations for the use of carbamazepine when HLA‐B*15:02 genotype results are available. Detailed guidelines regarding the selection of alternative therapies, the use of phenotypic tests, when to conduct genotype testing, and cost‐effectiveness analyses are beyond the scope of this document. Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines are published and updated periodically on the PharmGKB website at (http://www.pharmgkb.org).


Clinical Pharmacology & Therapeutics | 2015

Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors

Jk Hicks; Jeffrey R. Bishop; Daniel J. Müller; Yuan Ji; Susan G. Leckband; J.S. Leeder; Rl Graham; Dl Chiulli; Adrián LLerena; Todd C. Skaar; Stuart A. Scott; Julia C. Stingl; Teri E. Klein; Kelly E. Caudle; Andrea Gaedigk

Selective serotonin reuptake inhibitors (SSRIs) are primary treatment options for major depressive and anxiety disorders. CYP2D6 and CYP2C19 polymorphisms can influence the metabolism of SSRIs, thereby affecting drug efficacy and safety. We summarize evidence from the published literature supporting these associations and provide dosing recommendations for fluvoxamine, paroxetine, citalopram, escitalopram, and sertraline based on CYP2D6 and/or CYP2C19 genotype (updates at www.pharmgkb.org).


Molecular Psychiatry | 2012

Pharmacogenetics of antipsychotic-induced weight gain: review and clinical implications

Tristram A. Lett; Tessa Wallace; Nabilah I. Chowdhury; Arun K. Tiwari; James L. Kennedy; Daniel J. Müller

Second-generation antipsychotics (SGAs), such as risperidone, clozapine and olanzapine, are the most common drug treatments for schizophrenia. SGAs presented an advantage over first-generation antipsychotics (FGAs), particularly regarding avoidance of extrapyramidal symptoms. However, most SGAs, and to a lesser degree FGAs, are linked to substantial weight gain. This substantial weight gain is a leading factor in patient non-compliance and poses significant risk of diabetes, lipid abnormalities (that is, metabolic syndrome) and cardiovascular events including sudden death. The purpose of this article is to review the advances made in the field of pharmacogenetics of antipsychotic-induced weight gain (AIWG). We included all published association studies in AIWG from December 2006 to date using the Medline and ISI web of knowledge databases. There has been considerable progress reaffirming previous findings and discovery of novel genetic factors. The HTR2C and leptin genes are among the most promising, and new evidence suggests that the DRD2, TNF, SNAP-25 and MC4R genes are also prominent risk factors. Further promising findings have been reported in novel susceptibility genes, such as CNR1, MDR1, ADRA1A and INSIG2. More research is required before genetically informed, personalized medicine can be applied to antipsychotic treatment; nevertheless, inroads have been made towards assessing genetic liability and plausible clinical application.


Current Drug Metabolism | 2014

Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process.

Kelly E. Caudle; Teri E. Klein; James M. Hoffman; Daniel J. Müller; Michelle Whirl-Carrillo; Li Gong; Ellen M. McDonagh; Caroline F. Thorn; Matthias Schwab; José A. G. Agúndez; Robert R. Freimuth; Vojtech Huser; Ming Ta Michael Lee; Otito F. Iwuchukwu; Kristine R. Crews; Stuart A. Scott; Mia Wadelius; Jesse J. Swen; Rachel F. Tyndale; C. Michael Stein; Dan M. Roden; Mary V. Relling; Marc S. Williams; Samuel G. Johnson

The Clinical Pharmacogenetics Implementation Consortium (CPIC) publishes genotype-based drug guidelines to help clinicians understand how available genetic test results could be used to optimize drug therapy. CPIC has focused initially on well-known examples of pharmacogenomic associations that have been implemented in selected clinical settings, publishing nine to date. Each CPIC guideline adheres to a standardized format and includes a standard system for grading levels of evidence linking genotypes to phenotypes and assigning a level of strength to each prescribing recommendation. CPIC guidelines contain the necessary information to help clinicians translate patient-specific diplotypes for each gene into clinical phenotypes or drug dosing groups. This paper reviews the development process of the CPIC guidelines and compares this process to the Institute of Medicine’s Standards for Developing Trustworthy Clinical Practice Guidelines.


The Canadian Journal of Psychiatry | 2016

Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder Section 3. Pharmacological Treatments

Sidney H. Kennedy; Raymond W. Lam; Roger S. McIntyre; S. Valérie Tourjman; Venkat Bhat; Pierre Blier; Mehrul Hasnain; Fabrice Jollant; Anthony J. Levitt; Glenda MacQueen; Shane McInerney; Diane McIntosh; Roumen Milev; Daniel J. Müller; Sagar V. Parikh; Norma L. Pearson; Arun V. Ravindran; Rudolf Uher

Background: The Canadian Network for Mood and Anxiety Treatments (CANMAT) conducted a revision of the 2009 guidelines by updating the evidence and recommendations. The scope of the 2016 guidelines remains the management of major depressive disorder (MDD) in adults, with a target audience of psychiatrists and other mental health professionals. Methods: Using the question-answer format, we conducted a systematic literature search focusing on systematic reviews and meta-analyses. Evidence was graded using CANMAT-defined criteria for level of evidence. Recommendations for lines of treatment were based on the quality of evidence and clinical expert consensus. “Pharmacological Treatments” is the third of six sections of the 2016 guidelines. With little new information on older medications, treatment recommendations focus on second-generation antidepressants. Results: Evidence-informed responses are given for 21 questions under 4 broad categories: 1) principles of pharmacological management, including individualized assessment of patient and medication factors for antidepressant selection, regular and frequent monitoring, and assessing clinical and functional outcomes with measurement-based care; 2) comparative aspects of antidepressant medications based on efficacy, tolerability, and safety, including summaries of newly approved drugs since 2009; 3) practical approaches to pharmacological management, including drug-drug interactions and maintenance recommendations; and 4) managing inadequate response and treatment resistance, with a focus on switching antidepressants, applying adjunctive treatments, and new and emerging agents. Conclusions: Evidence-based pharmacological treatments are available for first-line treatment of MDD and for management of inadequate response. However, given the limitations of the evidence base, pharmacological management of MDD still depends on tailoring treatments to the patient.


Psychopharmacology | 2005

Association study of 12 polymorphisms spanning the dopamine D2 receptor gene and clozapine treatment response in two treatment refractory/intolerant populations

Rudi Hwang; Takahiro Shinkai; Vincenzo De Luca; Daniel J. Müller; Xingqun Ni; Fabio Macciardi; Steven G. Potkin; Jeffrey A. Lieberman; Herbert Y. Meltzer; James L. Kennedy

RationaleDopamine D2 receptor blockade is the major basis for the antipsychotic action of typical antipsychotic drugs (AP) and a necessary but not sufficient basis for the antipsychotic action of atypical APs such as clozapine and other multireceptor antagonists which rely, in part, upon 5-HT2A antagonism. Genetic factors affecting the density and/or function of D2 receptors may therefore affect AP response.ObjectivesThis exploratory study investigates the effect of 12 single nucleotide polymorphisms (SNPs) spanning the entire dopamine D2 gene on clozapine response in two distinct schizophrenic populations (Caucasian and African–American) refractory or intolerant to conventional APs.MethodsThis study included 183 Caucasian and 49 African–American DSM-III-R or DSM-IV schizophrenics. Genotyping was determined by 5′-exonuclease fluorescence assays. Within each population genotype, allele, allele +/−, and haplotype frequencies were compared between responders and non-responders by X2 tests. Linkage disequilibrium analysis was also performed.ResultsIn the Caucasian sample, no significant associations were found for individual SNP tests; however, two haplotypes were identified as having significant protective effects on treatment outcome. In the African–American sample, individual SNP tests identified the Taq1A, Taq1B, and rs1125394 markers as being predictive of clozapine response. Haplotype analyses identified four protective haplotypes containing these SNPs. In addition, no association between the −141C Ins/Del site and clozapine response was found in either population.ConclusionsInterindividual variability in clozapine response among treatment refractory/intolerant patients is still not fully understood and likely involves multiple factors. This exploratory analysis suggests that the D2 receptor gene may be one such factor.


Pharmacogenomics | 2010

Polymorphisms of the HTR2C gene and antipsychotic-induced weight gain: an update and meta-analysis

Michelle N Sicard; Clement C. Zai; Arun K. Tiwari; Renan P. Souza; Herbert Y. Meltzer; Jeffrey A. Lieberman; James L. Kennedy; Daniel J. Müller

AIMS This study aims to test for possible associations between the gene coding for the 5-HT2C receptor and antipsychotic-induced weight gain. MATERIALS & METHODS Four HTR2C polymorphisms (rs498207, C-759T, G-697C and Ser23Cys) were investigated in our sample of 205 chronic schizophrenia patients. RESULTS Significant over-representation of the C-G-Cys23 haplotype in patients with weight gain (OR: 1.93; 95% CI: 1.04-3.56; p = 0.0015) was found. Similarly, haplotype analyses of percentage weight change were also significant (p = 0.029) for the C-G-Cys23 haplotype associated with the highest average percent weight gain. Observations in the polymorphisms are consistent with previous studies. An updated meta-analysis of nine previous studies plus our current sample suggest that the -759C allele is associated with antipsychotic-induced weight gain. CONCLUSION Additional studies, including the resequencing of the region surrounding the HTR2C promoter, and functional studies of the promoter polymorphisms, may elucidate the mechanism underlying this genetic association.


Neuropsychopharmacology | 2010

A common polymorphism in the cannabinoid receptor 1 (CNR1) gene is associated with antipsychotic-induced weight gain in schizophrenia.

Arun K. Tiwari; Clement C. Zai; Olga Likhodi; Annika Lisker; Deepika Singh; Renan P. Souza; Poonam Batra; Syed H. E. Zaidi; Sheng Chen; Fang Liu; Imke Puls; Herbert Y. Meltzer; Jeffrey A. Lieberman; James L. Kennedy; Daniel J. Müller

Antipsychotic-induced weight gain has emerged as a serious complication in the treatment of patients with atypical antipsychotic drugs. The cannabinoid receptor 1 (CNR1) is expressed centrally in the hypothalamic region and associated with appetite and satiety, as well as peripherally. An antagonist of CNR1 (rimonabant) has been effective in causing weight loss in obese patients indicating that CNR1 might be important in antipsychotic-induced weight gain. Twenty tag SNPs were analyzed in 183 patients who underwent treatment (with either clozapine, olanzapine, haloperidol, or risperidone) for chronic schizophrenia were evaluated for antipsychotic-induced weight gain for up to 14 weeks. The polymorphism rs806378 was nominally associated with weight gain in patients of European ancestry treated with clozapine or olanzapine. ‘T’ allele carriers (CT+TT) gained more weight (5.96%), than the CC carriers (2.76%, p=0.008, FDR q-value=0.12). This translated into approximately 2.2 kg more weight gain in patients carrying the T allele than the patients homozygous for the CC genotype (CC vs CT+TT, 2.21±4.51 vs 4.33±3.89 kg; p=0.022). This was reflected in the allelic analysis (C vs T allele, 3.84 vs 5.83%, p=0.035). We conducted electrophoretic mobility shift assays which showed that the presence of the T allele created a binding site for arylhydrocarbon receptor translocator (ARNT), a member of the basic helix–loop–helix/Per–Arnt–Sim protein family. In this study, we provide evidence that the CNR1 gene may be associated with antipsychotic-induced weight gain in chronic schizophrenia patients. However, these observations were made in a relatively small patient population; therefore these results need to be replicated in larger sample sets.

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James L. Kennedy

Centre for Addiction and Mental Health

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Arun K. Tiwari

Centre for Addiction and Mental Health

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Herbert Y. Meltzer

North Carolina Department of Health and Human Services

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Clement C. Zai

Centre for Addiction and Mental Health

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