1
|
Kotoula V, Evans JW, Punturieri CE, Zarate CA. Review: The use of functional magnetic resonance imaging (fMRI) in clinical trials and experimental research studies for depression. FRONTIERS IN NEUROIMAGING 2023; 2:1110258. [PMID: 37554642 PMCID: PMC10406217 DOI: 10.3389/fnimg.2023.1110258] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 06/12/2023] [Indexed: 08/10/2023]
Abstract
Functional magnetic resonance imaging (fMRI) is a non-invasive technique that can be used to examine neural responses with and without the use of a functional task. Indeed, fMRI has been used in clinical trials and pharmacological research studies. In mental health, it has been used to identify brain areas linked to specific symptoms but also has the potential to help identify possible treatment targets. Despite fMRI's many advantages, such findings are rarely the primary outcome measure in clinical trials or research studies. This article reviews fMRI studies in depression that sought to assess the efficacy and mechanism of action of compounds with antidepressant effects. Our search results focused on selective serotonin reuptake inhibitors (SSRIs), the most commonly prescribed treatments for depression and ketamine, a fast-acting antidepressant treatment. Normalization of amygdala hyperactivity in response to negative emotional stimuli was found to underlie successful treatment response to SSRIs as well as ketamine, indicating a potential common pathway for both conventional and fast-acting antidepressants. Ketamine's rapid antidepressant effects make it a particularly useful compound for studying depression with fMRI; its effects on brain activity and connectivity trended toward normalizing the increases and decreases in brain activity and connectivity associated with depression. These findings highlight the considerable promise of fMRI as a tool for identifying treatment targets in depression. However, additional studies with improved methodology and study design are needed before fMRI findings can be translated into meaningful clinical trial outcomes.
Collapse
|
2
|
Hongkaew Y, Gaedigk A, Wilffert B, Gaedigk R, Kittitharaphan W, Ngamsamut N, Limsila P, Puangpetch A, Sukprasong R, Sukasem C. Pharmacogenomics Factors Influencing the Effect of Risperidone on Prolactin Levels in Thai Pediatric Patients With Autism Spectrum Disorder. Front Pharmacol 2021; 12:743494. [PMID: 34690776 PMCID: PMC8527557 DOI: 10.3389/fphar.2021.743494] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 09/14/2021] [Indexed: 01/15/2023] Open
Abstract
We investigated the association between genetic variations in pharmacodynamic genes and risperidone-induced increased prolactin levels in children and adolescents with autism spectrum disorder (ASD). In a retrospective study, variants of pharmacodynamic genes were analyzed in 124 ASD patients treated with a risperidone regimen for at least 3 months. To simplify genotype interpretation, we created an algorithm to calculate the dopamine D2 receptor (DRD2) gene genetic risk score. There was no relationship between prolactin levels and single SNPs. However, the H1/H3 diplotype (A2/A2-Cin/Cin-A/G) of DRD2/ankyrin repeat and kinase domain containing 1 (ANKK1) Taq1A, DRD2 -141C indel, and DRD2 -141A>G, which had a genetic risk score of 5.5, was associated with the highest median prolactin levels (23 ng/ml). As the dose-corrected plasma levels of risperidone, 9-OH-risperidone, and the active moiety increased, prolactin levels in patients carrying the H1/H3 diplotype were significantly higher than those of the other diplotypes. DRD2 diplotypes showed significantly high prolactin levels as plasma risperidone levels increased. Lower levels of prolactin were detected in patients who responded to risperidone. This is the first system for describing DRD2 haplotypes using genetic risk scores based on their protein expression. Clinicians should consider using pharmacogenetic-based decision-making in clinical practice to prevent prolactin increase.
Collapse
Affiliation(s)
- Yaowaluck Hongkaew
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.,Research and Development Laboratory, Bumrungrad International Hospital, Bangkok, Thailand
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kanas City, MO, United States.,School of Medicine, University of Missouri-Kansas City, Kansas City, MO, United States
| | - Bob Wilffert
- Unit of PharmacoTherapy, Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands.,Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Roger Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kanas City, MO, United States.,School of Medicine, University of Missouri-Kansas City, Kansas City, MO, United States
| | - Wiranpat Kittitharaphan
- Department of Mental Health Services, Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Ministry of Public Health, Samut Prakan, Thailand
| | - Nattawat Ngamsamut
- Department of Mental Health Services, Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Ministry of Public Health, Samut Prakan, Thailand
| | - Penkhae Limsila
- Department of Mental Health Services, Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Ministry of Public Health, Samut Prakan, Thailand
| | - Apichaya Puangpetch
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - Rattanaporn Sukprasong
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.,Pharmacogenomics and Precision Medicine, Preventive Genomics and Family Check-up Services Center, Bumrungrad International Hospital, Bangkok, Thailand
| |
Collapse
|
3
|
Kneer K, Reinhard J, Ziegler C, Slyschak A, Schiele M, Vietz M, Peters K, Meisenzahl EM, Pauli P, Reif A, Deckert J, Romanos M, Domschke K, Neufang S. Serotonergic influence on depressive symptoms and trait anxiety is mediated by negative life events and frontal activation in children and adolescents. Eur Child Adolesc Psychiatry 2020; 29:691-706. [PMID: 31422473 DOI: 10.1007/s00787-019-01389-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 08/07/2019] [Indexed: 12/18/2022]
Abstract
Depression and anxiety are common in childhood and adolescence. Even though cardinal symptoms differ, there is a considerable overlap regarding the pathogenic influence of serotonergic innervation, negative life experience, disturbed emotion perception/affect regulation, and impaired neural functioning in the fronto-limbic circuit. In this study, we examined the effect of the 5-HTTLPR/rs25531 genotype on depressive symptoms and trait anxiety under the consideration of the amount of negative life events in healthy children and adolescents (N = 389). In a subsample of 49 subjects, we performed fMRI to add fronto-limbic brain activation as a second interacting factor. Across all subjects, negative life events moderated the influence of the 5-HTTLPR/rs25531 genotype on both depressive symptoms and trait anxiety. In the fMRI subsample, 5-HTTLPR/rs25531 S + S/LG + S/LA + LGLA + LGLG genotype-associated left middle frontal gyrus (MFG) activation mediated the influence of 5-HTTLPR/rs25531 genotype on depressive symptoms, however, only in combination with negative life events. Genetic influence on trait anxiety was predominantly mediated by negative life events; only LALA genotype-specific activation in the right MFG worked as a mediator in combination with negative life events. The present findings hint towards distinct mechanisms mediating the influence of 5-HTTLPR/rs25531 genotype on depressive symptoms and anxiety, with negative life events playing a crucial role in both phenotypes. With regard to depressive symptoms, however, this influence was only visible in combination with MFG activation, whereas, in anxiety, it was independent of brain activation.
Collapse
Affiliation(s)
- Katharina Kneer
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Julia Reinhard
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Christiane Ziegler
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anna Slyschak
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Miriam Schiele
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Melanie Vietz
- Department of Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Katharina Peters
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Eva M Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Bergische Landstraße 2, 40629, Düsseldorf, Germany
| | - Paul Pauli
- Department of Psychology, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Marcel Romanos
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Centre for Basics in Neuromodulation, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Susanne Neufang
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany.
- Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Bergische Landstraße 2, 40629, Düsseldorf, Germany.
| |
Collapse
|
4
|
Yang Y, Wang C, Li X, Yu R, Zhang M, Xue M, Guo W, He L, Gao X, Gong P. The 5-HTTLPR polymorphism impacts moral permissibility of impersonal harmful behaviors. Soc Cogn Affect Neurosci 2020; 14:911-918. [PMID: 31506681 PMCID: PMC6847979 DOI: 10.1093/scan/nsz060] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 07/23/2019] [Accepted: 08/02/2019] [Indexed: 12/26/2022] Open
Abstract
Inspired by the roles of serotonin in an emotional aversion to harmful actions, we examined to what extent serotonin transporter gene (5-HTT)–linked polymorphic region (5-HTTLPR), a proxy for measuring serotonin function, underpinned the individual differences in moral judgment through cross-sectional analysis and two-wave comparison. The cross-sectional analysis with a larger cohort (N = 1197) showed that the SS carriers of the 5-HTTLPR polymorphism, corresponding to the low ratio of serotonin recycling from the synaptic cleft, rated impersonal harmful actions (e.g. flipping a switch to divert a train to hit one person instead of five people) as more permissible as compared with the L-allele carriers. The two-wave comparison with a subsample from the larger cohort (N = 563) indicated that the association between 5-HTTLPR polymorphism and moral permissibility of impersonal harmful actions was stable from wave 1 to wave 2. Thus, these findings highlight the importance of the 5-HTTLPR polymorphism to harmful moral behaviors.
Collapse
Affiliation(s)
- Yafang Yang
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Chunlan Wang
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Xiaohan Li
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Rongjun Yu
- Department of Psychology, National University of Singapore, Singapore 117570
| | - Mengfei Zhang
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Mengying Xue
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Wenxuan Guo
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Linlin He
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Xiaocai Gao
- College of Life Science, Northwest University, 710069 Xi'an, China
| | - Pingyuan Gong
- College of Life Science, Northwest University, 710069 Xi'an, China.,College of Medicine, Northwest University, 710069 Xi'an, China.,Shaanxi Key Laboratory for Animal Conservation, Northwest University, 710069 Xi'an, China.,Institute of Population and Health, Northwest University, 710069 Xi'an, China
| |
Collapse
|
5
|
Ensemble Learning for Early‐Response Prediction of Antidepressant Treatment in Major Depressive Disorder. J Magn Reson Imaging 2019; 52:161-171. [DOI: 10.1002/jmri.27029] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 11/30/2019] [Accepted: 12/02/2019] [Indexed: 01/07/2023] Open
|
6
|
Shan X, Zhao W, Qiu Y, Wu H, Chen J, Fang Y, Guo W, Li L. Preliminary Clinical Investigation of Combinatorial Pharmacogenomic Testing for the Optimized Treatment of Depression: A Randomized Single-Blind Study. Front Neurosci 2019; 13:960. [PMID: 31572113 PMCID: PMC6753896 DOI: 10.3389/fnins.2019.00960] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Accepted: 08/26/2019] [Indexed: 11/13/2022] Open
Abstract
This study aims to explore the potential benefits of antidepressant drugs related to metabolic enzyme and drug-targeted genes, identify the optimal treatment of major depression, and provide a reference for individualized medication selection. A prospective randomized single-blind investigation was conducted for 8 weeks. A pharmacogenomic-based interpretive report was provided to the treating physician in the guided group. Patients in this group were informed that their medication selection was directed by DNA testing. In the unguided group, treatment was provided based on the clinical experience of the physician without the guidance of pharmacogenomic testing. Pharmacogenomic-based interpretive report was not provided to these patients until treatment completion. The 17-item Hamilton depression scale (HAMD-17), Hamilton anxiety scale, and treatment emergent symptom scale were used to assess the clinical efficacy and side effects at baseline and after 2, 4, and 8 weeks of treatment. Among the 80 initially enrolled patients with depression, 71 participated in the full data analysis sets and were designated into guided (31) and unguided (40) groups, respectively. No significant difference (P > 0.05) in HAMD-17 total scores, response and remission rates was found between the guided and unguided groups at the end of the treatment. The incidence rate of adverse reaction was 55.56% in guided group and 57.89% in the unguided group. Our study suggested that pharmacogenomic testing might not considerably improve the clinical efficiency and safety for the guided group.
Collapse
Affiliation(s)
- Xiaoxiao Shan
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Wenli Zhao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Yan Qiu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Haishan Wu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Yiru Fang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Lehua Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| |
Collapse
|
7
|
Pharmacogenetics of Antidepressants: from Genetic Findings to Predictive Strategies. ACTA BIOMEDICA SCIENTIFICA 2019. [DOI: 10.29413/abs.2019-4.2.5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
The constantly growing contribution of depressive disorders to the global disease statistics calls for a growth of treatment effectiveness and optimization. Antidepressants are the most frequently prescribed medicines for depressive disorders. However, development of a standardized pharmacotherapeutic approach is burdened by the genomic heterogeneity, lack of reliable predictive biomarkers and variability of the medicines metabolism aggravated by multiple side effects of antidepressants. According to modern assessments up to 20 % of the genes expressed in our brain are involved in the pathogenesis of depression. Large-scale genetic and genomic research has found a number of potentially prognostic genes. It has also been proven that the effectiveness and tolerability of antidepressants directly depend on the variable activity of the enzymes that metabolize medicines. Almost all modern antidepressants are metabolized by the cytochrome P450 family enzymes. The most promising direction of research today is the GWAS (Genome-Wide Association Study) method that is aimed to link genomic variations with phenotypical manifestations. In this type of research genomes of depressive patients with different phenotypes are compared to the genomes of the control group containing same age, sex and other parameters healthy people. Notably, regardless of the large cohorts of patients analyzed, none of the GWA studies conducted so far can reliably reproduce the results of other analogous studies. The explicit heterogeneity of the genes associated with the depression pathogenesis and their pleiotropic effects are strongly influenced by environmental factors. This may explain the difficulty of obtaining clear and reproducible results. However, despite any negative circumstances, the active multidirectional research conducted today, raises the hope of clinicians and their patients to get a whole number of schedules how to achieve remission faster and with guaranteed results
Collapse
|
8
|
Harrington MO, Klaus K, Vaht M, Harro J, Pennington K, Durrant SJ. Overnight retention of emotional memories is influenced by BDNF Val66Met but not 5-HTTLPR. Behav Brain Res 2019; 359:17-27. [DOI: 10.1016/j.bbr.2018.10.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 09/24/2018] [Accepted: 10/11/2018] [Indexed: 02/08/2023]
|
9
|
Powers JP, LaBar KS. Regulating emotion through distancing: A taxonomy, neurocognitive model, and supporting meta-analysis. Neurosci Biobehav Rev 2018; 96:155-173. [PMID: 30502352 DOI: 10.1016/j.neubiorev.2018.04.023] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 04/13/2018] [Accepted: 04/29/2018] [Indexed: 01/09/2023]
Abstract
Distancing is a type of emotion regulation that involves simulating a new perspective to alter the psychological distance and emotional impact of a stimulus. The effectiveness and versatility of distancing relative to other types of emotion regulation make it a promising tool for clinical applications. However, the neurocognitive mechanisms of this tactic are unclear, and inconsistencies in terminology and methods across studies make it difficult to synthesize the literature. To promote more effective research, we propose a taxonomy of distancing within the broader context of emotion regulation strategies; review the effects of this tactic; and offer a preliminary neurocognitive model describing key cognitive processes and their neural bases. Our model emphasizes three components-self-projection, affective self-reflection, and cognitive control. Additionally, we present results from a supporting meta-analysis of neuroimaging studies of distancing. These efforts are presented within the overarching goals of supporting effective applications of distancing in laboratory, clinical, and other real-world contexts, and advancing understanding of the relevant high-level cognitive functions in the brain.
Collapse
Affiliation(s)
- John P Powers
- Duke University, Department of Psychology & Neuroscience, Center for Cognitive Neuroscience, Box 90999, Durham, NC, 27708-0999, United States.
| | - Kevin S LaBar
- Duke University, Department of Psychology & Neuroscience, Center for Cognitive Neuroscience, Box 90999, Durham, NC, 27708-0999, United States.
| |
Collapse
|
10
|
Gonda X, Petschner P, Eszlari N, Baksa D, Edes A, Antal P, Juhasz G, Bagdy G. Genetic variants in major depressive disorder: From pathophysiology to therapy. Pharmacol Ther 2018; 194:22-43. [PMID: 30189291 DOI: 10.1016/j.pharmthera.2018.09.002] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
In spite of promising preclinical results there is a decreasing number of new registered medications in major depression. The main reason behind this fact is the lack of confirmation in clinical studies for the assumed, and in animals confirmed, therapeutic results. This suggests low predictive value of animal studies for central nervous system disorders. One solution for identifying new possible targets is the application of genetics and genomics, which may pinpoint new targets based on the effect of genetic variants in humans. The present review summarizes such research focusing on depression and its therapy. The inconsistency between most genetic studies in depression suggests, first of all, a significant role of environmental stress. Furthermore, effect of individual genes and polymorphisms is weak, therefore gene x gene interactions or complete biochemical pathways should be analyzed. Even genes encoding target proteins of currently used antidepressants remain non-significant in genome-wide case control investigations suggesting no main effect in depression, but rather an interaction with stress. The few significant genes in GWASs are related to neurogenesis, neuronal synapse, cell contact and DNA transcription and as being nonspecific for depression are difficult to harvest pharmacologically. Most candidate genes in replicable gene x environment interactions, on the other hand, are connected to the regulation of stress and the HPA axis and thus could serve as drug targets for depression subgroups characterized by stress-sensitivity and anxiety while other risk polymorphisms such as those related to prominent cognitive symptoms in depression may help to identify additional subgroups and their distinct treatment. Until these new targets find their way into therapy, the optimization of current medications can be approached by pharmacogenomics, where metabolizing enzyme polymorphisms remain prominent determinants of therapeutic success.
Collapse
Affiliation(s)
- Xenia Gonda
- Department of Psychiatry and Psychotherapy, Kutvolgyi Clinical Centre, Semmelweis University, Budapest, Hungary; NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary; MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary.
| | - Peter Petschner
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary; Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
| | - Nora Eszlari
- NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary; Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
| | - Daniel Baksa
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary; SE-NAP 2 Genetic Brain Imaging Migraine Research Group, Hungarian Academy of Sciences, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
| | - Andrea Edes
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary; SE-NAP 2 Genetic Brain Imaging Migraine Research Group, Hungarian Academy of Sciences, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
| | - Peter Antal
- Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary
| | - Gabriella Juhasz
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary; SE-NAP 2 Genetic Brain Imaging Migraine Research Group, Hungarian Academy of Sciences, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary; Neuroscience and Psychiatry Unit, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Gyorgy Bagdy
- NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary; MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary; Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary.
| |
Collapse
|
11
|
Abstract
Neuroscience research has demonstrated that cognition, emotion, and their dynamic interactions emerge from complex and flexible patterns of activity across distributed neural circuits. A parallel branch of research in genetics has begun to identify common variation in the human DNA sequence (i.e., genome) that may shape individual differences in cognition-emotion interactions by altering molecular and cellular pathways that modulate the activity of these neural circuits. Here we provide a brief introduction to such neurogenetics research and how it may usefully inform our understanding of the biological mechanisms through which dynamic cognition-emotion interactions emerge and, subsequently, help shape normal and abnormal behavior.
Collapse
|
12
|
Tryptophan supplementation and serotonin function: genetic variations in behavioural effects. Proc Nutr Soc 2018; 77:174-188. [DOI: 10.1017/s0029665117004451] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The neurotransmitter serotonin has a role in affective disorders such as depression and anxiety, as well as sleep, cognitive function and appetite. This review examines the evidence that serotonin-related genotypes may moderate the behavioural effects of supplementation with the serotonin precursor amino acidl-tryptophan (TRP), on which synthesis of serotonin (or 5-hydroxytryptamine; 5-HT) depends. However, 95 % of serotonin is synthesised and used in the periphery, and TRP is also metabolised via non-5-HT routes such as the kynurenine pathway. Moreover, understanding of genotypes involved in regulation of serotonin raises questions over the generalisability of TRP effects on behaviour across individuals with varied serotonergic genotypes. To date, only differences between variants of the 5-HT transporter-linked promoter region (5-HTTLPR) have been investigated in relation to behavioural effects of TRP supplementation. Effects of 5-HTTLPR genotypes are usually compared between the alleles that are either high (L/L′) or low (S/S′) expressing of mRNA for the 5-HT transporter receptor. Yet, another key genetic variable is sex: in women, the S/S′ genotype predicts sensitivity to improved mood and reduced cortisol by TRP supplementation, during stressful challenges, whereas the L/L′ genotype protects against stress-induced mood deterioration. In men, the L/L′ genotype may confer risk of stress-induced increases in negative affect; there are insufficient data to assess effects on male S/S′ genotypes. However, better-powered studies to detect sex by genotype by stress by TRP interactions, as well as consideration of more genotypes, are needed before strong conclusions and recommendations for behavioural effects of TRP treatment can be reached.
Collapse
|
13
|
Valderrama J, Miranda R. Early life stress predicts negative urgency through brooding, depending on 5-HTTLPR genotype: A pilot study with 6-month follow-up examining suicide ideation. Psychiatry Res 2017; 258:481-487. [PMID: 28890225 PMCID: PMC5681408 DOI: 10.1016/j.psychres.2017.08.092] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2017] [Revised: 08/29/2017] [Accepted: 08/30/2017] [Indexed: 12/26/2022]
Abstract
The present study examined the interaction between early life stress and 5-HTT genotypes in predicting two risk factors for suicidal behavior - the brooding subtype of rumination and impulsivity, in the form of negative urgency - over time. Furthermore, we examined early life stress, brooding, and impulsivity as predictors of suicidal ideation over time. Participants with and without a history of early life stress were genotyped for the 5-HTTLPR polymorphism and completed assessments assessing brooding and negative urgency at baseline and 6-month follow up. Early life emotional abuse was associated with negative urgency at follow-up. We found an indirect effect of early life emotional abuse on negative urgency through brooding among individuals with 5-HTT low expressing genotypes but not among individuals with 5-HTT high expressing genotypes. Further, a logistic regression analysis revealed that negative urgency was associated with higher odds (O.R. = 16.2) of reporting suicide ideation (versus no ideation) at follow-up. Our findings suggest that brooding and negative urgency may result from the interaction between early life emotional abuse and 5-HTT low expressing genotypes. Further research is necessary to understand how early life stress interacts with 5-HTT genotypes to confer risk for suicidal behavior through psychological mechanisms.
Collapse
Affiliation(s)
- Jorge Valderrama
- Department of Psychology, Hunter College, City University of New York, NY, USA; Department of Psychology, The Graduate Center, City University of New York, NY, USA.
| | | |
Collapse
|
14
|
Pérez V, Salavert A, Espadaler J, Tuson M, Saiz-Ruiz J, Sáez-Navarro C, Bobes J, Baca-García E, Vieta E, Olivares JM, Rodriguez-Jimenez R, Villagrán JM, Gascón J, Cañete-Crespillo J, Solé M, Saiz PA, Ibáñez Á, de Diego-Adeliño J, AB-GEN Collaborative Group ÁlvarezEnricEAlvarezM@santpau.catMayoral-CleriesFermínfermin.mayoral.sspa@juntadeandalucia.esQuinteroJavierfjquinterog@yahoo.esPalaoDiego J.dpalao@tauli.catIrastorzaLuis Javierljirastorza@telefonica.netNavarroRafaelnavarro@ugr.esBarrigónMaría Luisaluisa.barrigon@quironsalud.esGarrigaMarinamagarriga@clinic.catVilloriaLucíalucia.villoria@quironsalud.esSoriaVirginiavsoria@bellvitgehospital.catRodaoJosé M.josemaria.rodao@salud.madrid.orgCastañoJuanJRCastano@parcdesalutmar.catBlanchJordijblanch@clinic.catDíez-AjaCristobal99847@parcdesalutmar.catBratMercèmercebrat@gmail.comMongilJosé M.cheman45@gmail.comGarridoJuan Migueljuanmi110879@gmail.comMoraFernandofernmora@gmail.comHolgadoPedro M.pmholgado@yahoo.esSánchez-GonzálezRobertoRSanchezGonzalez@parcdesalutmar.catBagneyAlexandraalexbagney@gmail.comAguilarEvaeaguilar@tauli.catGarcía-PortillaMaría Pazalbert@uniovi.esSafontGemmagsafont@mutuaterrassa.esBauzàJoanaJBauza@santpau.catMoralMercedes Martín-delmermarti@ucm.esCanteroNazaretnazaret1979@hotmail.comBernardoMiquelbernardo@clinic.catRissechNúriarissech@ab-biotics.comPuigmuléMartapuigmule@ab-biotics.comBonacheraMiquel Àngelmiquel@ab-biotics.com, Menchón JM. Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial. BMC Psychiatry 2017; 17:250. [PMID: 28705252 PMCID: PMC5513031 DOI: 10.1186/s12888-017-1412-1] [Citation(s) in RCA: 137] [Impact Index Per Article: 17.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 06/29/2017] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND A 12-week, double-blind, parallel, multi-center randomized controlled trial in 316 adult patients with major depressive disorder (MDD) was conducted to evaluate the effectiveness of pharmacogenetic (PGx) testing for drug therapy guidance. METHODS Patients with a CGI-S ≥ 4 and requiring antidepressant medication de novo or changes in their medication regime were recruited at 18 Spanish public hospitals, genotyped with a commercial PGx panel (Neuropharmagen®), and randomized to PGx-guided treatment (n = 155) or treatment as usual (TAU, control group, n = 161), using a computer-generated random list that locked or unlocked psychiatrist access to the results of the PGx panel depending on group allocation. The primary endpoint was the proportion of patients achieving a sustained response (Patient Global Impression of Improvement, PGI-I ≤ 2) within the 12-week follow-up. Patients and interviewers collecting the PGI-I ratings were blinded to group allocation. Between-group differences were evaluated using χ2-test or t-test, as per data type. RESULTS Two hundred eighty patients were available for analysis at the end of the 12-week follow-up (PGx n = 136, TAU n = 144). A difference in sustained response within the study period (primary outcome) was not observed (38.5% vs 34.4%, p = 0.4735; OR = 1.19 [95%CI 0.74-1.92]), but the PGx-guided treatment group had a higher responder rate compared to TAU at 12 weeks (47.8% vs 36.1%, p = 0.0476; OR = 1.62 [95%CI 1.00-2.61]), and this difference increased after removing subjects in the PGx-guided group when clinicians explicitly reported not to follow the test recommendations (51.3% vs 36.1%, p = 0.0135; OR = 1.86 [95%CI 1.13-3.05]). Effects were more consistent in patients with 1-3 failed drug trials. In subjects reporting side effects burden at baseline, odds of achieving a better tolerability (Frequency, Intensity and Burden of Side Effects Rating Burden subscore ≤2) were higher in the PGx-guided group than in controls at 6 weeks and maintained at 12 weeks (68.5% vs 51.4%, p = 0.0260; OR = 2.06 [95%CI 1.09-3.89]). CONCLUSIONS PGx-guided treatment resulted in significant improvement of MDD patient's response at 12 weeks, dependent on the number of previously failed medication trials, but not on sustained response during the study period. Burden of side effects was also significantly reduced. TRIAL REGISTRATION European Clinical Trials Database 2013-002228-18 , registration date September 16, 2013; ClinicalTrials.gov NCT02529462 , retrospectively registered: August 19, 2015.
Collapse
Affiliation(s)
- Víctor Pérez
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,grid.7080.fInstitut de Neuropsiquiatria i Addiccions (INAD), Hospital del Mar, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Departament de Psiquiatria, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | | | | | - Jerónimo Saiz-Ruiz
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,0000 0000 9248 5770grid.411347.4Departament of Psychiatry, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Cristina Sáez-Navarro
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,0000 0001 2284 9230grid.410367.7University Psychiatric Hospital, Institut Pere Mata, IISPV, Universitat Rovira Virgili, Reus, Spain
| | - Julio Bobes
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,0000 0001 2164 6351grid.10863.3cÁrea de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
| | - Enrique Baca-García
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,grid.419651.eDepartamento de Psiquiatría, Fundación Jiménez Díaz, IIS FJD, Madrid, Spain ,0000000119578126grid.5515.4Hospital Universitario Rey Juan Carlos, Hospital Universitario Infanta Elena, Hospital General de Villalba, Universidad Autónoma de Madrid, Madrid, Spain ,0000000419368729grid.21729.3fColumbia University, New York, USA
| | - Eduard Vieta
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - José M. Olivares
- 0000 0004 1757 0405grid.411855.cDepartment of Psychiatry, Hospital Álvaro Cunqueiro, Complejo Hospitalario Universitario de Vigo, Instituto Biomédico Galicia Sur, Vigo, Spain
| | - Roberto Rodriguez-Jimenez
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,0000 0001 1945 5329grid.144756.5Department of Psychiatry, Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain
| | - José M. Villagrán
- Psychiatric Hospitalization Unit, Hospital General de Jerez de la Frontera, Jerez de la Frontera, Cádiz Spain
| | - Josep Gascón
- 0000 0004 1794 4956grid.414875.bPsychiatric Unit, Hospital Universitari Mútua Terrassa, Terrassa, Spain
| | - Josep Cañete-Crespillo
- 0000 0004 1770 3861grid.466613.0Mental Health Department, Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain
| | - Montse Solé
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,0000 0001 2284 9230grid.410367.7University Psychiatric Hospital, Institut Pere Mata, IISPV, Universitat Rovira Virgili, Reus, Spain
| | - Pilar A. Saiz
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,0000 0001 2164 6351grid.10863.3cÁrea de Psiquiatría, Facultad de Medicina, Universidad de Oviedo, Instituto Universitario de Neurociencias del Principado de Asturias (INEUROPA), Oviedo, Spain
| | - Ángela Ibáñez
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,0000 0000 9248 5770grid.411347.4Departament of Psychiatry, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Javier de Diego-Adeliño
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,grid.7080.fServei de Psiquiatria, Hospital de la Santa Creu i Sant Pau, Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - José M. Menchón
- grid.469673.9Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Av. Monforte de Lemos, 3-5, Madrid, Spain ,Department of Psychiatry, Hospital Universitari de Bellvitge, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), Carretera de la Feixa Llarga s/n, 08907 Hospitalet de Llobregat, Barcelona, Spain ,0000 0004 1937 0247grid.5841.8Departament de Ciències Clíniques, Facultat de Medicina, Universitat de Barcelona, Barcelona, Spain
| |
Collapse
|
15
|
Plieger T, Melchers M, Vetterlein A, Görtz J, Kuhn S, Ruppel M, Reuter M. The serotonin transporter polymorphism (5-HTTLPR) and coping strategies influence successful emotion regulation in an acute stress situation: Physiological evidence. Int J Psychophysiol 2017; 114:31-37. [PMID: 28192169 DOI: 10.1016/j.ijpsycho.2017.02.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 02/03/2017] [Accepted: 02/08/2017] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Emotion regulation is an important everyday-life skill to reduce harm and stress. Consequently, research shows associations between psychopathologies and emotional dysregulation. The serotonin transporter polymorphism (5-HTTLPR) has repeatedly been associated to phenotypes and syndromes related to emotional dysregulation. However, there is no study showing any direct effects of 5-HTTLPR genotype and emotion regulation. Hence, the aim of the present study was to draw a link between 5-HTTLPR to emotion regulation. METHOD N=91 healthy participants filled in a coping questionnaire, provided gene samples and participated in an emotion regulation experiment. In a within-subject design they viewed emotional pictures and were either instructed to suppress their emotions or not. During the emotion regulation task, skin conductance responses (SCR) were recorded. RESULTS Emotion regulation abilities measured by SCR were influenced by 5-HTTLPR and coping strategies, together explaining 30% of variance. S-allele carriers showed increased SCRs when watching aversive stimuli in the uninstructed condition. However, when receiving an emotion regulation instruction, they were able to downregulate their arousal resulting in comparable SCRs as observed in LL-carriers. DISCUSSION This is the first study showing an impact of 5-HTTLPR on physiological emotion regulation. Results show that S-allele carriers have the same emotional arousal as L-allele carriers, when they get a supportive instruction to suppress unwanted feelings. These findings have implications for psychotherapeutic treatments.
Collapse
Affiliation(s)
- Thomas Plieger
- Department of Psychology, Laboratory of Neurogenetics, University of Bonn, Germany.
| | - Martin Melchers
- Department of Psychology, Laboratory of Neurogenetics, University of Bonn, Germany
| | - Annabel Vetterlein
- Department of Psychology, Laboratory of Neurogenetics, University of Bonn, Germany
| | - Janina Görtz
- Department of Psychology, Laboratory of Neurogenetics, University of Bonn, Germany
| | - Sarah Kuhn
- Department of Psychology, Laboratory of Neurogenetics, University of Bonn, Germany
| | - Melissa Ruppel
- Department of Psychology, Laboratory of Neurogenetics, University of Bonn, Germany
| | - Martin Reuter
- Department of Psychology, Laboratory of Neurogenetics, University of Bonn, Germany; Center for Economics & Neuroscience (CENs), University of Bonn, Germany
| |
Collapse
|
16
|
Pharmacogenetics and Imaging-Pharmacogenetics of Antidepressant Response: Towards Translational Strategies. CNS Drugs 2016; 30:1169-1189. [PMID: 27752945 DOI: 10.1007/s40263-016-0385-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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.
Collapse
|