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Abstract
Obsessive-compulsive disorder (OCD) has a worldwide prevalence of 2%-3%. Characterized by the presence of either one or two core symptoms-obsessions and compulsions-it generally runs a chronic course and may cause serious functional impairment. Though previously thought to be of psychogenic origin, the pathophysiology of OCD is now understood to be more complex. A multitude of environmental factors have been shown to contribute to the development of OCD, including infection, neonatal complications, childhood trauma, occurrence of stressful events, and brain injury. It has also been proposed that genetic vulnerability may play a role in OCD pathology, although candidate genes have yet to be identified. Likewise, although it is widely accepted that stress plays a role in OCD pathophysiology, the mechanisms remain unclear. Observations from the clinics indicate that stress may serve as both a triggering and aggravating factor, meaning it can prompt symptoms to appear while also contributing to their exacerbation. Additionally, dysfunction of the hypothalamic-pituitary-adrenal axis and impaired stress response have been identified in OCD patients. In this review, we analyze the role of stress in the pathophysiology of OCD, complemented by relevant findings from recent animal studies.
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Alemany-Navarro M, Costas J, Real E, Segalàs C, Bertolín S, Domènech L, Rabionet R, Carracedo Á, Menchón JM, Alonso P. Do polygenic risk and stressful life events predict pharmacological treatment response in obsessive compulsive disorder? A gene-environment interaction approach. Transl Psychiatry 2019; 9:70. [PMID: 30718812 PMCID: PMC6362161 DOI: 10.1038/s41398-019-0410-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/18/2018] [Accepted: 11/08/2018] [Indexed: 12/13/2022] Open
Abstract
The rate of response to pharmacological treatment in Obsessive-compulsive disorder (OCD) oscillates between 40 and 70%. Genetic and environmental factors have been associated with treatment response in OCD. This study analyzes the predictive ability of a polygenic risk score (PRS) built from OCD-risk variants, for treatment response in OCD, and the modulation role of stressful life events (SLEs) at the onset of the disorder. PRSs were calculated for a sample of 103 patients. Yale-Brown Obsessive Compulsive Scale (YBOCS) scores were obtained before and after a 12-week treatment. Regression analyses were performed to analyze the influence of the PRS and SLEs at onset on treatment response. PRS did not predict treatment response. The best predictive model for post-treatment YBOCS (post YBOCS) included basal YBOCS and age. PRS appeared as a predictor for basal and post YBOCS. SLEs at onset were not a predictor for treatment response when included in the regression model. No evidence for PRS predictive ability for treatment response was found. The best predictor for treatment response was age, agreeing with previous literature specific for SRI treatment. Suggestions are made on the possible role of neuroplasticity as a mediator on this association. PRS significantly predicted OCD severity independent on pharmacological treatment. SLE at onset modulation role was not evidenced. Further research is needed to elucidate the genetic and environmental bases of treatment response in OCD.
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Affiliation(s)
- María Alemany-Navarro
- Institut d' Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat (Barcelona), Spain. .,OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat (Barcelona), Spain.
| | - Javier Costas
- 0000 0000 9403 4738grid.420359.9Grupo de Xenética Psiquiátrica, Instituto de Investigación Sanitaria de Santiago, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde, Santiago de Compostela, Spain
| | - Eva Real
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Cinto Segalàs
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Sara Bertolín
- 0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Laura Domènech
- grid.473715.3Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003 Spain ,0000 0001 2172 2676grid.5612.0Universitat Pompeu Fabra (UPF), Barcelona, Spain ,CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Raquel Rabionet
- grid.473715.3Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003 Spain ,0000 0001 2172 2676grid.5612.0Universitat Pompeu Fabra (UPF), Barcelona, Spain ,CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Ángel Carracedo
- 0000 0000 9403 4738grid.420359.9Grupo de Xenética Psiquiátrica, Instituto de Investigación Sanitaria de Santiago, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde, Santiago de Compostela, Spain ,0000000109410645grid.11794.3aGrupo de Medicina Xenómica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado - Instituto Carlos III, Santiago de Compostela, Spain ,0000 0004 1791 1185grid.452372.5Centro de Investigación Biomédica en Red de Enfermedades Raras, Santiago de Compostela, Spain
| | - Jose M. Menchón
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 9314 1427grid.413448.eCIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain ,0000 0004 1937 0247grid.5841.8Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain
| | - Pino Alonso
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 9314 1427grid.413448.eCIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain ,0000 0004 1937 0247grid.5841.8Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain
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Szczepankiewicz A, Narozna B, Rybakowski JK, Kliwicki S, Czerski P, Dmitrzak-Węglarz M, Skibińska M, Twarowska-Hauser J, Pawlak J. Genes involved in stress response influence lithium efficacy in bipolar patients. Bipolar Disord 2018; 20:753-760. [PMID: 29578315 DOI: 10.1111/bdi.12639] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVES In mood disorders, chronic stimulation with stress results in aberrant regulation of the hypothalamic-pituitary-adrenal (HPA) axis. Lithium was shown to influence HPA axis function. The underlying genetic background as well as environmental context may influence the stress response, and therefore lithium efficacy. The aim of the present study was to analyze if genetic variants located in genes involved in HPA axis regulation affect the response to long-term lithium treatment in bipolar patients. METHODS We included 93 patients with bipolar disorder (32 males and 61 females), aged 31-80 years. The patients had been treated with lithium carbonate for at least 5 years. The magnitude of the lithium response was assessed using the Alda scale. Genotyping was performed for 28 polymorphisms in the genes encoding the following proteins involved in HPA axis regulation: corticotropin-releasing hormone receptor 1 (CRHR1), arginine vasopressin receptor 1B (AVPR1b), FK506 binding protein (FKBP) 5, FKBP4, BCL2-associated athanogene 1 (BAG1), stress induced phosphoprotein 1 (STIP1), glucocorticoid-induced transcript 1 (GLCC1), dual specificity phosphatase 1 (DUSP1) serine and arginine rich splicing factor (SRSF) 3, SRSF9, SRSF5, and acid phosphatase 1 (ACP1). Linkage disequilibrium and haplotype analysis were then performed, followed by statistical analysis (Statistica v.12; Stasoft, Krakow, Poland). RESULTS We found a correlation between stressful life events at first episode and worse response to lithium (P=.019). In single marker analysis, we observed a significant association between three FKBP5 polymorphisms (rs1360780, rs7748266 and rs9296158), one ACP1 variant (rs300774) and one glucocorticoid-induced transcript 1 gene (GLCC1) variant (rs37972) and the degree of lithium response. Five out of seven FKBP5 polymorphisms showed strong linkage with one haplotype demonstrating an association with lithium efficacy (P=.008). No relationship was found between the other analyzed polymorphisms and lithium response. CONCLUSION The response to lithium may depend on the variants of genes regulating the HPA axis and stressful life events in bipolar patients.
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Affiliation(s)
| | - Beata Narozna
- Laboratory of Molecular and Cell Biology, Poznan University of Medical Sciences, Poznan, Poland
| | - Janusz K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Sebastian Kliwicki
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - Piotr Czerski
- Deparment of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Maria Skibińska
- Deparment of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | | | - Joanna Pawlak
- Deparment of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
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Calabrò M, Mandelli L, Crisafulli C, Lee SJ, Jun TY, Wang SM, Patkar AA, Masand PS, Benedetti F, Han C, Pae CU, Serretti A. Neuroplasticity, Neurotransmission and Brain-Related Genes in Major Depression and Bipolar Disorder: Focus on Treatment Outcomes in an Asiatic Sample. Adv Ther 2018; 35:1656-1670. [PMID: 30178121 PMCID: PMC6182627 DOI: 10.1007/s12325-018-0781-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Indexed: 02/06/2023]
Abstract
Introduction Mood disorders are common and disabling disorders. Despite the availability of over 100 psychotropic compounds, only one-third of patients benefit from first-line treatments. Over the past 20 years, many studies have focused on the biological factors modulating disease risk and response to treatments, but with still inconclusive data. In order to improve our current knowledge, in this study, we investigated the role of a set of genes involved in different pathways (neurotransmission, neuroplasticity, circadian rhythms, transcription factors, signal transduction and cellular metabolism) in the treatment outcome of major depressive disorder (MDD) and bipolar disorder (BD) after naturalistic pharmacological treatment. Methods Totals of 242 MDD, 132 BD patients and 326 healthy controls of Asian ethnicity (Koreans) were genotyped for polymorphisms within 19 genes. Response and remission after 6–8 weeks of treatment with antidepressants and mood stabilizers were evaluated. In secondary analyses, genetic associations with disease risk and some disease-associated features (age of onset, suicide attempt and psychotic BD) were also tested. Results None of the variants within the investigated genes was significantly associated with treatment outcomes. Some marginal association (uncorrected p < 0.01) was observed for HTR2A, BDNF, CHL1, RORA and HOMER1 SNPs. In secondary analyses, HTR2A (rs643627, p = 0.002) and CHL1 (rs4003413, p = 0.002) were found associated with risk for BD, HOMER1 (rs6872497, p = 0.002) with lifetime history of suicide attempt in patients, and RORA with early onset and presence of psychotic features in BD. Marginal results were also observed for ST8SIA2 and COMT. Discussion Despite limitations linked to multiple testing on small samples, methodological shortcomings and small significance of the findings, this study may support the involvement of some candidate genes in the outcomes of treatments for mood disorders, as well as in BD risk and other disease features. Electronic supplementary material The online version of this article (10.1007/s12325-018-0781-2) contains supplementary material, which is available to authorized users.
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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: 14] [Impact Index Per Article: 1.8] [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.
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Xu Z, Reynolds GP, Yuan Y, Shi Y, Pu M, Zhang Z. TPH-2 Polymorphisms Interact with Early Life Stress to Influence Response to Treatment with Antidepressant Drugs. Int J Neuropsychopharmacol 2016; 19:pyw070. [PMID: 27521242 PMCID: PMC5137282 DOI: 10.1093/ijnp/pyw070] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 08/04/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Variation in genes implicated in monoamine neurotransmission may interact with environmental factors to influence antidepressant response. We aimed to determine how a range of single nucleotide polymorphisms in monoaminergic genes influence this response to treatment and how they interact with childhood trauma and recent life stress in a Chinese sample. An initial study of monoaminergic coding region single nucleotide polymorphisms identified significant associations of TPH2 and HTR1B single nucleotide polymorphisms with treatment response that showed interactions with childhood and recent life stress, respectively (Xu et al., 2012). METHODS A total of 47 further single nucleotide polymorphisms in 17 candidate monoaminergic genes were genotyped in 281 Chinese Han patients with major depressive disorder. Response to 6 weeks' antidepressant treatment was determined by change in the 17-item Hamilton Depression Rating Scale score, and previous stressful events were evaluated by the Life Events Scale and Childhood Trauma Questionnaire-Short Form. RESULTS Three TPH2 single nucleotide polymorphisms (rs11178998, rs7963717, and rs2171363) were significantly associated with antidepressant response in this Chinese sample, as was a haplotype in TPH2 (rs2171363 and rs1487278). One of these, rs2171363, showed a significant interaction with childhood adversity in its association with antidepressant response. CONCLUSIONS These findings provide further evidence that variation in TPH2 is associated with antidepressant response and may also interact with childhood trauma to influence outcome of antidepressant treatment.
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Affiliation(s)
- Zhi Xu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing 210009, PR China (Drs Xu and Yuan); Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, United Kingdom (Dr Reynolds); Department of Neuropsychiatry, Nanjing First Hospital Affiliated to Nanjing Medical University, Nanjing 210000, PR China (Dr Shi); Department of Neurology, Wuxi first people's Hospital, Wuxi 214000, PR China (Dr Pu); Department of Neurology, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing 210009, PR China (Dr Zhang).
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Mandelli L, Toscano E, Porcelli S, Fabbri C, Serretti A. Age of Onset in Schizophrenia Spectrum Disorders: Complex Interactions between Genetic and Environmental Factors. Psychiatry Investig 2016; 13:247-9. [PMID: 27081388 PMCID: PMC4823203 DOI: 10.4306/pi.2016.13.2.247] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Revised: 04/24/2015] [Accepted: 05/04/2015] [Indexed: 12/21/2022] Open
Abstract
In this study we evaluated the role of a candidate gene for major psychosis, Sialyltransferase (ST8SIA2), in the risk to develop a schizophrenia spectrum disorders, taking into account exposure to stressful life events (SLEs). Eight polymorphisms (SNPs) were tested in 94 Schizophreniainpatients and 176 healthy controls. Schizophrenia patients were also evaluated for SLEs in different life periods. None of the SNPs showed association with schizophrenia. Nevertheless, when crossing genetic variants with childhood SLEs, we could observe trends of interaction with age of onset. Though several limitations, our results support a protective role of ST8SIA2 in individuals exposed to moderate childhood stress.
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Affiliation(s)
- Laura Mandelli
- Department of Biomedical and Neuromotor Sciences, Institute of Psychiatry, University of Bologna, Bologna, Italy
| | - Elena Toscano
- Department of Biomedical and Neuromotor Sciences, Institute of Psychiatry, University of Bologna, Bologna, Italy
| | - Stefano Porcelli
- Department of Biomedical and Neuromotor Sciences, Institute of Psychiatry, University of Bologna, Bologna, Italy
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, Institute of Psychiatry, University of Bologna, Bologna, Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, Institute of Psychiatry, University of Bologna, Bologna, Italy
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