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Tsermpini EE, Serretti A, Dolžan V. Precision Medicine in Antidepressants Treatment. Handb Exp Pharmacol 2023; 280:131-186. [PMID: 37195310 DOI: 10.1007/164_2023_654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Precision medicine uses innovative approaches to improve disease prevention and treatment outcomes by taking into account people's genetic backgrounds, environments, and lifestyles. Treatment of depression is particularly challenging, given that 30-50% of patients do not respond adequately to antidepressants, while those who respond may experience unpleasant adverse drug reactions (ADRs) that decrease their quality of life and compliance. This chapter aims to present the available scientific data that focus on the impact of genetic variants on the efficacy and toxicity of antidepressants. We compiled data from candidate gene and genome-wide association studies that investigated associations between pharmacodynamic and pharmacokinetic genes and response to antidepressants regarding symptom improvement and ADRs. We also summarized the existing pharmacogenetic-based treatment guidelines for antidepressants, used to guide the selection of the right antidepressant and its dose based on the patient's genetic profile, aiming to achieve maximum efficacy and minimum toxicity. Finally, we reviewed the clinical implementation of pharmacogenomics studies focusing on patients on antidepressants. The available data demonstrate that precision medicine can increase the efficacy of antidepressants and reduce the occurrence of ADRs and ultimately improve patients' quality of life.
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Affiliation(s)
- Evangelia Eirini Tsermpini
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Vita Dolžan
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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2
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Scherf-Clavel M, Weber H, Deckert J, Erhardt-Lehmann A. The role of pharmacogenetics in the treatment of anxiety disorders and the future potential for targeted therapeutics. Expert Opin Drug Metab Toxicol 2021; 17:1249-1260. [PMID: 34643143 DOI: 10.1080/17425255.2021.1991912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Anxiety disorders (AD) are among the most common mental disorders worldwide. Pharmacotherapy, including benzodiazepines, selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, and tricyclic antidepressants is currently based on 'trial-and-error,' and is effective in a subset of patients or produces partial response only. Recent research proposes that treatment response and tolerability of the drugs are associated with genetic factors. AREAS COVERED In the present review, we provide information on pharmacogenetics (PGx) in AD, including pharmacokinetic and pharmacodynamic genes. Moreover, we discuss the future potential of PGx for personalized treatment. EXPERT OPINION In psychiatry, PGx testing is still in its infancy, especially in the treatment of AD. As of today, implementation in clinical routine is recommended only for CYP2D6 and CYP2C19, mainly in terms of safety of treatment and potentially of treatment outcome in general. However, the evidence for PGx testing addressing pharmacodynamics for specific AD is limited to date. Nevertheless, PGx may develop into a valuable and promising tool to improve therapy in AD, but there is a need for more research to fully exploit its possibilities. Future perspectives include research into single genes, polygenic risk scores, and pharmacoepigenetics to provide targeted therapy.
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Affiliation(s)
- Maike Scherf-Clavel
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Heike Weber
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Angelika Erhardt-Lehmann
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany.,Translational Department, Max Planck Institute for Psychiatry, München, Germany
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3
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Abstract
Anxiety disorders are common and disabling conditions the treatment of which remains a challenge. While different groups of medication are available for their treatment, a substantial proportion of patients remain refractory to pharmacotherapy. The reason for this variation in the individual response to treatment has yet to be understood; however genetic factors have been shown to play an important role. Up to now there have been limited publications about pharmacogenetics of anxiety disorders, compared to studies in depression. Published studies are focused on pharmacogenetics of antidepressants rather than being disease specific. This review summarizes pharmacogenetic findings related to the anxiolytic treatment response and their possible functional mechanisms. This inevitably focuses on genes involved in the pharmacodynamics of the medications used, along with some genes implicated in the disease process, as well as briefly mentioning genetic factors associated with psychotherapeutic response.
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Affiliation(s)
- O O McGowan
- Leverndale Hospital, 510 Crookston Road, Glasgow G53 7TU, UK.
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4
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Perna G, Alciati A, Sangiorgio E, Caldirola D, Nemeroff CB. Personalized Clinical Approaches to Anxiety Disorders. In: Kim Y, editor. Anxiety Disorders. Singapore: Springer; 2020. pp. 489-521. [DOI: 10.1007/978-981-32-9705-0_25] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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5
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Tomasi J, Lisoway AJ, Zai CC, Harripaul R, Müller DJ, Zai GCM, McCabe RE, Richter MA, Kennedy JL, Tiwari AK. Towards precision medicine in generalized anxiety disorder: Review of genetics and pharmaco(epi)genetics. J Psychiatr Res 2019; 119:33-47. [PMID: 31563039 DOI: 10.1016/j.jpsychires.2019.09.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 08/15/2019] [Accepted: 09/05/2019] [Indexed: 02/06/2023]
Abstract
Generalized anxiety disorder (GAD) is a prevalent and chronic mental disorder that elicits widespread functional impairment. Given the high degree of non-response/partial response among patients with GAD to available pharmacological treatments, there is a strong need for novel approaches that can optimize outcomes, and lead to medications that are safer and more effective. Although investigations have identified interesting targets predicting treatment response through pharmacogenetics (PGx), pharmaco-epigenetics, and neuroimaging methods, these studies are often solitary, not replicated, and carry several limitations. This review provides an overview of the current status of GAD genetics and PGx and presents potential strategies to improve treatment response by combining better phenotyping with PGx and improved analytical methods. These strategies carry the dual benefit of delivering data on biomarkers of treatment response as well as pointing to disease mechanisms through the biology of the markers associated with response. Overall, these efforts can serve to identify clinical, genetic, and epigenetic factors that can be incorporated into a pharmaco(epi)genetic test that may ultimately improve treatment response and reduce the socioeconomic burden of GAD.
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Affiliation(s)
- Julia Tomasi
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Amanda J Lisoway
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Clement C Zai
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ricardo Harripaul
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Molecular Neuropsychiatry & Development (MiND) Lab, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Daniel J Müller
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Gwyneth C M Zai
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; General Adult Psychiatry and Health Systems Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Randi E McCabe
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Anxiety Treatment and Research Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Margaret A Richter
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Frederick W. Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - James L Kennedy
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Arun K Tiwari
- Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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6
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Abstract
Antidepressant response could be from 42 to 50% genetically determined. Venlafaxine (VEN) was the sixth most-prescribed antidepressant in the USA in 2017. Therefore, we reviewed studies which focused on the pharmacogenetics of VEN and found that there is a lack of guidelines for pharmacogenetic testing for VEN. Within investigated genetic polymorphisms, few of them can be indicated as potential predictors of VEN efficacy and tolerance. However, additional pharmacogenetic studies of VEN should be performed to reproduce already obtained results or explain contradictory ones. The individualization of pharmacotherapy is a key issue in providing patients with the highest possible quality of treatment, therefore pharmacogenetic studies should be one of the components of therapy optimization.
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Affiliation(s)
- Justyna Suwała
- Department of Clinical Pharmacology, Faculty of Pharmacy with Division of Laboratory Diagnostics, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Marta Machowska
- Department of Clinical Pharmacology, Faculty of Pharmacy with Division of Laboratory Diagnostics, Wroclaw Medical University, 50-556 Wroclaw, Poland
| | - Anna Wiela-Hojeńska
- Department of Clinical Pharmacology, Faculty of Pharmacy with Division of Laboratory Diagnostics, Wroclaw Medical University, 50-556 Wroclaw, Poland
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7
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Doherty C, Hogue O, Floden DP, Altemus JB, Najm IM, Eng C, Busch RM. BDNF and COMT, but not APOE, alleles are associated with psychiatric symptoms in refractory epilepsy. Epilepsy Behav 2019; 94:131-136. [PMID: 30909076 PMCID: PMC8299517 DOI: 10.1016/j.yebeh.2019.02.032] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Accepted: 02/28/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVE The objective of this study was to determine whether three common genetic polymorphisms [apolipoprotein (APOE) ε4 (rs42938 and rs7412), brain derived neurotrophic factor (BDNF) Met (rs6265), and catechol-O-methyltransferase (COMT) Val (rs4680)] are associated with increased psychiatric symptomatology in individuals with pharmacoresistant epilepsy. METHODS One hundred forty-eight adults (Mage = 38 years; 53% female) with refractory epilepsy completed self-report measures of mood, anxiety, and/or personality/psychopathology. Mann-Whitney U, t-tests, and Fisher's exact tests were used to determine if APOE4, BDNF Val66Met, or COMT Val158Met are associated with increased psychiatric symptomatology in people with epilepsy. RESULTS As a group, BDNF Met carriers reported greater symptoms of depression on the Personality Assessment Inventory (PAI) than those without a Met allele (p = 0.004); COMT Val carriers reported greater symptoms on the PAI Schizophrenia (p = 0.007), Antisocial Features (p = 0.04), and Alcohol Problems (p = 0.03) scales than noncarriers. On the individual level, a significantly greater proportion of BDNF Met carriers demonstrated elevated PAI Depression scores compared to those without a Met allele (p = 0.046). There was also a larger proportion of COMT Val carriers with elevated PAI Anxiety scores as compared to those without a Val allele (p = 0.036). SIGNIFICANCE This retrospective cross-sectional study provides preliminary evidence for a genetic basis of psychiatric comorbidities in epilepsy and suggests that BDNF and COMT may play an important role in the pathophysiology of mental health problems in this vulnerable population.
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Affiliation(s)
- Christine Doherty
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH, United States of America.
| | - Olivia Hogue
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States of America.
| | - Darlene P. Floden
- Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, Cleveland, OH,Department of Psychiatry & Psychology, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - Jessica B. Altemus
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Imad M. Najm
- Cleveland Clinic Epilepsy Center, Neurological Institute, Cleveland, OH,Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - Charis Eng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States of America; Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, United States of America.
| | - Robyn M. Busch
- Department of Psychiatry & Psychology, Neurological Institute, Cleveland Clinic, Cleveland, OH,Cleveland Clinic Epilepsy Center, Neurological Institute, Cleveland, OH
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8
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Hall KT, Loscalzo J, Kaptchuk TJ. Systems pharmacogenomics - gene, disease, drug and placebo interactions: a case study in COMT. Pharmacogenomics 2019; 20:529-551. [PMID: 31124409 PMCID: PMC6563236 DOI: 10.2217/pgs-2019-0001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 03/11/2019] [Indexed: 02/07/2023] Open
Abstract
Disease, drugs and the placebos used as comparators are inextricably linked in the methodology of the double-blind, randomized controlled trial. Nonetheless, pharmacogenomics, the study of how individuals respond to drugs based on genetic substrate, focuses primarily on the link between genes and drugs, while the link between genes and disease is often overlooked and the link between genes and placebos is largely ignored. Herein, we use the example of the enzyme catechol-O-methyltransferase to examine the hypothesis that genes can function as pharmacogenomic hubs across system-wide regulatory processes that, if perturbed in andomized controlled trials, can have primary and combinatorial effects on drug and placebo responses.
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Affiliation(s)
- Kathryn T Hall
- Department of Medicine, Brigham & Women’s Hospital, Boston, MA 02115, USA
- Division of Preventive Medicine, Brigham & Women’s Hospital, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Joseph Loscalzo
- Department of Medicine, Brigham & Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Ted J Kaptchuk
- Harvard Medical School, Boston, MA 02115, USA
- Program in Placebo Studies, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
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9
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Abstract
PURPOSE OF REVIEW Anxiety disorders are among the most common mental disorders with a lifetime prevalence of over 20%. Clinically, anxiety is not thought of as a homogenous disorder, but is subclassified in generalized, panic, and phobic anxiety disorder. Anxiety disorders are moderately heritable. This review will explore recent genetic and epigenetic approaches to anxiety disorders explaining differential susceptibility risk. RECENT FINDINGS A substantial portion of the variance in susceptibility risk can be explained by differential inherited and acquired genetic and epigenetic risk. Available data suggest that anxiety disorders are highly complex and polygenic. Despite the substantial progress in genetic research over the last decade, only few risk loci for anxiety disorders have been identified so far. This review will cover recent findings from large-scale genome-wide association studies as well as newer epigenome-wide studies. Progress in this area will likely require analysis of much larger sample sizes than have been reported to date. We discuss prospects for clinical translation of genetic findings and future directions for research.
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10
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Tasa T, Krebs K, Kals M, Mägi R, Lauschke VM, Haller T, Puurand T, Remm M, Esko T, Metspalu A, Vilo J, Milani L. Genetic variation in the Estonian population: pharmacogenomics study of adverse drug effects using electronic health records. Eur J Hum Genet 2018; 27:442-454. [PMID: 30420678 PMCID: PMC6460570 DOI: 10.1038/s41431-018-0300-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 10/15/2018] [Accepted: 10/25/2018] [Indexed: 11/23/2022] Open
Abstract
Pharmacogenomics aims to tailor pharmacological treatment to each individual by considering associations between genetic polymorphisms and adverse drug effects (ADEs). With technological advances, pharmacogenomic research has evolved from candidate gene analyses to genome-wide association studies. Here, we integrate deep whole-genome sequencing (WGS) information with drug prescription and ADE data from Estonian electronic health record (EHR) databases to evaluate genome- and pharmacome-wide associations on an unprecedented scale. We leveraged WGS data of 2240 Estonian Biobank participants and imputed all single-nucleotide variants (SNVs) with allele counts over 2 for 13,986 genotyped participants. Overall, we identified 41 (10 novel) loss-of-function and 567 (134 novel) missense variants in 64 very important pharmacogenes. The majority of the detected variants were very rare with frequencies below 0.05%, and 6 of the novel loss-of-function and 99 of the missense variants were only detected as single alleles (allele count = 1). We also validated documented pharmacogenetic associations and detected new independent variants in known gene-drug pairs. Specifically, we found that CTNNA3 was associated with myositis and myopathies among individuals taking nonsteroidal anti-inflammatory oxicams and replicated this finding in an extended cohort of 706 individuals. These findings illustrate that population-based WGS-coupled EHRs are a useful tool for biomarker discovery.
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Affiliation(s)
- Tõnis Tasa
- Institute of Computer Science, University of Tartu, Tartu, 50409, Estonia.,Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Kristi Krebs
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Mart Kals
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, Stockholm, 171 77, Sweden
| | - Toomas Haller
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Tarmo Puurand
- Department of Bioinformatics, Institute of Molecular and Cell Biology, University of Tartu, Tartu, 51010, Estonia
| | - Maido Remm
- Department of Bioinformatics, Institute of Molecular and Cell Biology, University of Tartu, Tartu, 51010, Estonia
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Jaak Vilo
- Institute of Computer Science, University of Tartu, Tartu, 50409, Estonia
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia. .,Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, 751 44, Sweden.
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11
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Ferreira-Garcia R, Mochcovitch M, Costa do Cabo M, Nardi AE, Christophe Freire R. Predictors of Pharmacotherapy Response in Generalized Anxiety Disorder: A Systematic Review. Harv Rev Psychiatry 2017; 25:65-79. [PMID: 28272131 DOI: 10.1097/HRP.0000000000000127] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Pharmacotherapy for generalized anxiety disorder (GAD) may be effective in reducing symptoms in the majority of patients. The study of moderators and predictors of treatment response may help clinicians both to select appropriate interventions to maximize the probability of response and to inform the general prognosis. METHODS A systematic literature search of electronic databases, selected authors, and reference lists was used to identify articles that reported trials of drug monotherapy in GAD. Data on predictors and moderators were extracted. Quality of evidence was determined by the presence of a priori hypotheses, number of variables investigated, adequate quality of the measurement, and use of interaction-effects testing. RESULTS From the 98 articles meeting inclusion criteria, 24 reported a total of 22 factors associated with treatment response. The reported results were heterogeneous, ranging over sociodemographic, clinical, comorbidity, genetic, and functional-imaging studies. Major depressive symptoms were found to moderate treatment outcome in favor of antidepressants versus benzodiazepines. Neuroticism, previous treatment, genetic polymorphisms (including serotonin receptor gene 2A), and functional activation of the anterior cingulate cortex and amygdala were identified as potential predictors of treatment response. CONCLUSIONS Correlates of poor emotion regulation predicted poor treatment response, but subclinical depression was the only variable capable of informing treatment selection in this review. Future research should focus on further exploring the value of depression as a moderator and on a narrower list of potential genetic, brain-imaging, and temperament predictors of response to pharmacotherapy in GAD.
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12
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Abstract
This review serves as a systematic guide to the genetics of generalized anxiety disorder (GAD) and further focuses on anxiety-relevant endophenotypes, such as pathological worry fear of uncertainty, and neuroticism. We inspect clinical genetic evidence for the familialityl heritability of GAD and cross-disorder phenotypes based on family and twin studies. Recent advances of linkage studies, genome-wide association studies, and candidate gene studies (eg, 5-HTT, 5-HT1A, MAOA, BDNF) are outlined. Functional and structural neuroimaging and neurophysiological readouts relating to peripheral stress markers and psychophysiology are further integrated, building a multilevel disease framework. We explore etiologic factors in gene-environment interaction approaches investigating childhood trauma, environmental adversity, and stressful life events in relation to selected candidate genes (5-HTT, NPSR1, COMT, MAOA, CRHR1, RGS2), Additionally, the pharmacogenetics of selective serotonin reuptake inhibitor/serotonin-norepinephrine reuptake inhibitor treatment are summarized (5-HTT, 5-HT2A, COMT, CRHR1). Finally, GAD and trait anxiety research challenges and perspectives in the field of genetics, including epigenetics, are discussed.
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Affiliation(s)
- Michael G Gottschalk
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
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13
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Abstract
Generalized anxiety disorder (GAD) is a prevalent and highly disabling mental health condition; however, there is still much to learn with regard to pertinent biomarkers, as well as diagnosis, made more difficult by the marked and common overlap of GAD with affective and anxiety disorders. Recently, intensive research efforts have focused on GAD, applying neuroimaging, genetic, and blood-based approaches toward discovery of pathogenetic and treatment-related biomarkers. In this paper, we review the large amount of available data, and we focus in particular on evidence from neuroimaging, genetic, and neurochemical measurements in GAD in order to better understand potential biomarkers involved in its etiology and treatment. Overall, the majority of these studies have produced results that are solitary findings, sometimes inconsistent and not clearly replicable. For these reasons, they have not yet been translated into clinical practice. Therefore, further research efforts are needed to distinguish GAD from other mental disorders and to provide new biological insights into its pathogenesis and treatment.
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Affiliation(s)
- Eduard Maron
- Faculty of Medicine, Department of Medicine, Center for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, London, UK ; Department of Psychiatry, University of Tartu, Tartu, Estonia ; North Estonia Medical Center, Department of Psychiatry, Tallinn, Estonia
| | - David Nutt
- Faculty of Medicine, Department of Medicine, Center for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, London, UK
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14
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Taranu A, Asmar KE, Colle R, Ferreri F, Polosan M, David D, Becquemont L, Corruble E, Verstuyft C. The Catechol-O-methyltransferase Val(108/158)Met Genetic Polymorphism cannot be Recommended as a Biomarker for the Prediction of Venlafaxine Efficacy in Patients Treated in Psychiatric Settings. Basic Clin Pharmacol Toxicol 2017. [DOI: 10.1111/bcpt.12827] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Adela Taranu
- INSERM UMR1178; Team ‘Depression and Antidepressants’; University of Medicine of Paris-Sud; University Paris-Sud; Le Kremlin Bicetre France
| | - Khalil El Asmar
- INSERM UMR1178; Team ‘Depression and Antidepressants’; University of Medicine of Paris-Sud; University Paris-Sud; Le Kremlin Bicetre France
| | - Romain Colle
- INSERM UMR1178; Team ‘Depression and Antidepressants’; University of Medicine of Paris-Sud; University Paris-Sud; Le Kremlin Bicetre France
- Service of Psychiatry; Group of Hospitals of Paris Sud; AP-HP, Hospital Bicetre; Le Kremlin Bicetre France
| | - Florian Ferreri
- Service of Psychiatry; Group of Hospitals of Paris Est; AP-HP, Hospital Saint-Antoine; Paris France
| | - Mircea Polosan
- Grenoble Institute of Neurosciences; Inserm U1216 GIN; University of Grenoble Alpes; Grenoble France
- Hospital of Grenoble; Grenoble France
| | - Denis David
- INSERM UMR1178; Team ‘Depression and Antidepressants’; University of Medicine of Paris-Sud; University Paris-Sud; Le Kremlin Bicetre France
| | - Laurent Becquemont
- INSERM UMR1178; Team ‘Depression and Antidepressants’; University of Medicine of Paris-Sud; University Paris-Sud; Le Kremlin Bicetre France
- Clinical Research Center (CRC); Group of Hospitals of Paris Sud; AP-HP, Hospital Bicetre; Le Kremlin Bicetre France
| | - Emmanuelle Corruble
- INSERM UMR1178; Team ‘Depression and Antidepressants’; University of Medicine of Paris-Sud; University Paris-Sud; Le Kremlin Bicetre France
- Service of Psychiatry; Group of Hospitals of Paris Sud; AP-HP, Hospital Bicetre; Le Kremlin Bicetre France
| | - Céline Verstuyft
- INSERM UMR1178; Team ‘Depression and Antidepressants’; University of Medicine of Paris-Sud; University Paris-Sud; Le Kremlin Bicetre France
- Service of Molecular Genetics, Pharmacogenetics and Hormonology; Group of Hospitals of Paris Sud; AP-HP, Hospital Bicetre; Le Kremlin Bicetre France
- Center of Biological Ressources of Paris-Sud; Group of Hospitals of Paris Sud; AP-HP, Hospital Bicetre; Le Kremlin Bicetre France
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15
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Abstract
Genetic variation underlies both the response to antidepressant treatment and the occurrence of side effects. Over the past two decades, a number of pharmacogenetic variants, among these the SCL6A4, BDNF, FKBP5, GNB3, GRIK4, and ABCB1 genes, have come to the forefront in this regard. However, small effects sizes, mixed results in independent samples, and conflicting meta-analyses results led to inherent difficulties in the field of pharmacogenetics translating these findings into clinical practice. Nearly all antidepressant pharmacogenetic variants have potentially pleiotropic effects in which they are associated with major depressive disorder, intermediate phenotypes involved in emotional processes, and brain areas affected by antidepressant treatment. The purpose of this article is to provide a comprehensive review of the advances made in the field of pharmacogenetics of antidepressant efficacy and side effects, imaging findings of antidepressant response, and the latest results in the expanding field of imaging-pharmacogenetics studies. We suggest there is mounting evidence that genetic factors exert their impact on treatment response by influencing brain structural and functional changes during antidepressant treatment, and combining neuroimaging and genetic methods may be a more powerful way to detect biological mechanisms of response than either method alone. The most promising imaging-pharmacogenetics findings exist for the SCL6A4 gene, with converging associations with antidepressant response, frontolimbic predictors of affective symptoms, and normalization of frontolimbic activity following antidepressant treatment. More research is required before imaging-pharmacogenetics informed personalized medicine can be applied to antidepressant treatment; nevertheless, inroads have been made towards assessing genetic and neuroanatomical liability and potential clinical application.
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Bandelow B, Baldwin D, Abelli M, Altamura C, Dell'Osso B, Domschke K, Fineberg NA, Grünblatt E, Jarema M, Maron E, Nutt D, Pini S, Vaghi MM, Wichniak A, Zai G, Riederer P. Biological markers for anxiety disorders, OCD and PTSD - a consensus statement. Part I: Neuroimaging and genetics. World J Biol Psychiatry 2016; 17:321-65. [PMID: 27403679 DOI: 10.1080/15622975.2016.1181783] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Biomarkers are defined as anatomical, biochemical or physiological traits that are specific to certain disorders or syndromes. The objective of this paper is to summarise the current knowledge of biomarkers for anxiety disorders, obsessive-compulsive disorder (OCD) and post-traumatic stress disorder (PTSD). METHODS Findings in biomarker research were reviewed by a task force of international experts in the field, consisting of members of the World Federation of Societies for Biological Psychiatry Task Force on Biological Markers and of the European College of Neuropsychopharmacology Anxiety Disorders Research Network. RESULTS The present article (Part I) summarises findings on potential biomarkers in neuroimaging studies, including structural brain morphology, functional magnetic resonance imaging and techniques for measuring metabolic changes, including positron emission tomography and others. Furthermore, this review reports on the clinical and molecular genetic findings of family, twin, linkage, association and genome-wide association studies. Part II of the review focuses on neurochemistry, neurophysiology and neurocognition. CONCLUSIONS Although at present, none of the putative biomarkers is sufficient and specific as a diagnostic tool, an abundance of high-quality research has accumulated that will improve our understanding of the neurobiological causes of anxiety disorders, OCD and PTSD.
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Affiliation(s)
- Borwin Bandelow
- a Department of Psychiatry and Psychotherapy , University of Göttingen , Germany
| | - David Baldwin
- b Faculty of Medicine , University of Southampton , Southampton , UK
| | - Marianna Abelli
- c Department of Clinical and Experimental Medicine , Section of Psychiatry, University of Pisa , Italy
| | - Carlo Altamura
- d Department of Psychiatry , University of Milan; Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico , Milan , Italy
| | - Bernardo Dell'Osso
- d Department of Psychiatry , University of Milan; Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico , Milan , Italy
| | - Katharina Domschke
- e Department of Psychiatry, Psychosomatics and Psychotherapy , University of Wuerzburg , Germany
| | - Naomi A Fineberg
- f Hertfordshire Partnership University NHS Foundation Trust and University of Hertfordshire , Rosanne House, Parkway , Welwyn Garden City , UK
| | - Edna Grünblatt
- e Department of Psychiatry, Psychosomatics and Psychotherapy , University of Wuerzburg , Germany ;,g Neuroscience Center Zurich , University of Zurich and the ETH Zurich , Zürich , Switzerland ;,h Department of Child and Adolescent Psychiatry and Psychotherapy , Psychiatric Hospital, University of Zurich , Zürich , Switzerland ;,i Zurich Center for Integrative Human Physiology , University of Zurich , Switzerland
| | - Marek Jarema
- j Third Department of Psychiatry , Institute of Psychiatry and Neurology , Warszawa , Poland
| | - Eduard Maron
- k North Estonia Medical Centre, Department of Psychiatry , Tallinn , Estonia ;,l Department of Psychiatry , University of Tartu , Estonia ;,m Faculty of Medicine, Department of Medicine, Centre for Neuropsychopharmacology, Division of Brain Sciences , Imperial College London , UK
| | - David Nutt
- m Faculty of Medicine, Department of Medicine, Centre for Neuropsychopharmacology, Division of Brain Sciences , Imperial College London , UK
| | - Stefano Pini
- c Department of Clinical and Experimental Medicine , Section of Psychiatry, University of Pisa , Italy
| | - Matilde M Vaghi
- n Department of Psychology and Behavioural and Clinical Neuroscience Institute , University of Cambridge , UK
| | - Adam Wichniak
- j Third Department of Psychiatry , Institute of Psychiatry and Neurology , Warszawa , Poland
| | - Gwyneth Zai
- n Department of Psychology and Behavioural and Clinical Neuroscience Institute , University of Cambridge , UK ;,o Neurogenetics Section, Centre for Addiction & Mental Health , Toronto , Canada ;,p Frederick W. Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Sciences Centre , Toronto , Canada ;,q Institute of Medical Science and Department of Psychiatry, University of Toronto , Toronto , Canada
| | - Peter Riederer
- e Department of Psychiatry, Psychosomatics and Psychotherapy , University of Wuerzburg , Germany ;,g Neuroscience Center Zurich , University of Zurich and the ETH Zurich , Zürich , Switzerland ;,h Department of Child and Adolescent Psychiatry and Psychotherapy , Psychiatric Hospital, University of Zurich , Zürich , Switzerland
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Abstract
At least one third of patients with anxiety disorders do not adequately respond to available pharmacological treatment. The reason that some patients with anxiety disorders respond well, but others not, to the same classes of medication is not yet fully understood. It is suggested that several biological factors may influence treatment mechanisms in anxiety and therefore could be identified as possible biomarkers predicting treatment response. In this review, we look at current evidence exploring different types of treatment predictors, including neuroimaging, genetic factors, and blood-related measures, which could open up novel perspectives in clinical management of patients with anxiety disorders.
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Affiliation(s)
- Eduard Maron
- Department of Psychiatry, North Estonia Medical Centre, Tallinn, Estonia; Department of Psychiatry, University of Tartu, Tartu, Estonia ; Faculty of Medicine, Department of Medicine, Centre for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, London, UK
| | - David Nutt
- Faculty of Medicine, Department of Medicine, Centre for Neuropsychopharmacology, Division of Brain Sciences, Imperial College London, London, UK
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Lueken U, Zierhut KC, Hahn T, Straube B, Kircher T, Reif A, Richter J, Hamm A, Wittchen HU, Domschke K. Neurobiological markers predicting treatment response in anxiety disorders: A systematic review and implications for clinical application. Neurosci Biobehav Rev 2016; 66:143-62. [DOI: 10.1016/j.neubiorev.2016.04.005] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 04/04/2016] [Accepted: 04/08/2016] [Indexed: 01/25/2023]
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Abstract
Many aspects of long-term pharmacological treatments for anxiety disorders (AnxDs) are still debated. We undertook an updated systematic review of long-term pharmacological studies on panic disorder (PD), generalized anxiety disorder (GAD), and social anxiety disorder (SAD). Relevant studies dating from January 1, 2012 to August 31, 2015 were identified using the PubMed database and a review of bibliographies. Of 372 records identified in the search, five studies on PD and 15 on GAD were included in the review. No studies on SAD were found. Our review confirms the usefulness of long-term pharmacological treatments for PD and GAD and suggests that they can provide further improvement over that obtained during short-term therapy. Paroxetine, escitalopram, and clonazepam can be effective for long-term treatment of PD. However, further studies are needed to draw conclusions about the long-term benzodiazepine use in PD, particularly for the possible cognitive side-effects over time. Pregabalin and quetiapine can be effective for long-term treatment of GAD, while preliminary suggestions emerged for agomelatine and vortioxetine. We did not find any evidence for determining the optimal length and/or dosage of medications to minimize the relapse risk. Few investigations have attempted to identify potential predictors of long-term treatment response. Personalized treatments for AnxDs can be implemented using predictive tools to explore those factors affecting treatment response/tolerability heterogeneity, including neurobiological functions/clinical profiles, comorbidity, biomarkers, and genetic features, and to tailor medications according to each patient's unique features.
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Abstract
While antidepressants are widely used to treat major depressive disorder and anxiety disorders, only half of the patients will respond to antidepressant treatment and only a third of patients will experience a remission of symptoms. Identification of genetic biomarkers that predict antidepressant treatment response could thus greatly improve current clinical practice by providing guidance on which drug to use for which patient. Most antidepressant drugs for the treatment of depression and anxiety disorders have effects on the serotonergic neurotransmitter system; thus, genetic polymorphisms in the genes involved in this pathway represent logical candidates for investigation. This article reviews recent findings on the pharmacogenetics of antidepressant drugs with a focus on serotonergic pathway polymorphisms and discusses future clinical applications.
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Affiliation(s)
- Sarah G Helton
- Section on Clinical Genomics & Experimental Therapeutics (CGET), Laboratory of Clinical & Translational Studies (LCTS), National Institute on Alcohol Abuse & Alcoholism (NIAAA), NIH, Bethesda, MD 20892-1540, USA
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23
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Cooper AJ, Rickels K, Lohoff FW. Association analysis between the A118G polymorphism in the OPRM1 gene and treatment response to venlafaxine XR in generalized anxiety disorder. Hum Psychopharmacol 2013; 28:258-62. [PMID: 23658070 DOI: 10.1002/hup.2317] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2012] [Accepted: 03/20/2013] [Indexed: 12/20/2022]
Abstract
Patients diagnosed with generalized anxiety disorder (GAD) exhibit differential responses to standard antidepressant pharmacotherapy. Mounting evidence demonstrates that genetic differences may be implicated in treatment response in disorders like GAD. In this study, we examined whether the OPRM1 gene, which has been implicated in antidepressant treatment response in major depressive disorder, also has an effect in GAD. In our study, 156 patients diagnosed with GAD received venlafaxine XR treatment as part of an 18-month relapse prevention study. Genotypes were obtained for the OPRM1 functional variant A118G for the entire sample (n = 151); however, only the European American population was considered (n = 108) for pharmacogenetic analysis. We found no significant association between A118G and antidepressant treatment response in our GAD population. Future studies that include different single nucleotide polymorphisms of the OPRM1 gene as well as larger populations will need to be conducted to further elucidate the pharmacogenetic role of the endogenous opioid system in anxiety disorders.
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Affiliation(s)
- Alissa J Cooper
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
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