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Ioannou M, Simon MS, Borkent J, Wijkhuijs A, Berghmans R, Haarman BC, Drexhage HA. Higher T central and lower effector memory cells in bipolar disorder: A differentiation abnormality? Brain Behav Immun Health 2024; 38:100764. [PMID: 38600952 PMCID: PMC11004065 DOI: 10.1016/j.bbih.2024.100764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/04/2024] [Accepted: 03/28/2024] [Indexed: 04/12/2024] Open
Abstract
The aim of this study was to elucidate the nature of T cell abnormalities in bipolar disorder (BD). With the use of multicolor flow cytometry, we first quantified the composition of the different memory and pro-inflammatory immune subpopulations in samples of 58 patients with BD and compared them to 113 healthy controls. Second, to assess if cytomegalovirus infection was related to the resulted immune subpopulation compositions in the two groups, we measured cytomegalovirus-specific antibodies in serum. Thirdly, we assessed differences between the two groups in the serum levels of the immune cell differentiation factor interleukin-7. Compared to healthy controls, patients showed significantly higher T helper-17, T regulatory and T central memory cells (CD4+ and CD8+). Besides, patients showed significantly lower CD4+ T effector memory and CD4+ T effector memory re-expressing RA cells. Cytomegalovirus infection was not related to the observed abnormalities, with the exception of T helper-17 cells. This immune subpopulation was significantly higher only in patients seropositive to cytomegalovirus infection. Finally, interleukin-7 levels were significantly lower in BD compared to healthy controls. In conclusion, the aberrant levels of T memory cell populations in BD may suggest a T cell differentiation abnormality. The role of interleukin-7 in this putative abnormality should be further investigated.
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Affiliation(s)
- Magdalini Ioannou
- Department of Psychiatry, University of Groningen and University Medical Centre Groningen, Groningen, the Netherlands
| | - Maria S. Simon
- Department of Psychiatry and Psychotherapy, Ludwig Maximilians University, Munich, Germany
| | - Jenny Borkent
- Department of Psychiatry, University of Groningen and University Medical Centre Groningen, Groningen, the Netherlands
| | - Annemarie Wijkhuijs
- Department of Immunology, Erasmus Universiteit Rotterdam and University Medical Centre Rotterdam, Rotterdam, the Netherlands
| | - Raf Berghmans
- Advanced Practical Diagnostics BV, Turnhout, Belgium
| | - Bartholomeus C.M. Haarman
- Department of Psychiatry, University of Groningen and University Medical Centre Groningen, Groningen, the Netherlands
| | - Hemmo A. Drexhage
- Department of Immunology, Erasmus Universiteit Rotterdam and University Medical Centre Rotterdam, Rotterdam, the Netherlands
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Cunha MJ. Perspective biomarkers and staging of bipolar disorder. Bipolar Disord 2024; 26:317-318. [PMID: 38644474 DOI: 10.1111/bdi.13434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Affiliation(s)
- Mário Jorge Cunha
- Psychiatry Residency, Unidade Local de Saúde Lisboa Ocidental, Lisboa, Portugal
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Smith KA, Hardy A, Vinnikova A, Blease C, Milligan L, Hidalgo-Mazzei D, Lambe S, Marzano L, Uhlhaas PJ, Ostinelli EG, Anmella G, Zangani C, Aronica R, Dwyer B, Torous J, Cipriani A. Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions. JMIR Ment Health 2024; 11:e57155. [PMID: 38717799 PMCID: PMC11112473 DOI: 10.2196/57155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/08/2024] [Accepted: 03/21/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Digital approaches may be helpful in augmenting care to address unmet mental health needs, particularly for schizophrenia and severe mental illness (SMI). OBJECTIVE An international multidisciplinary group was convened to reach a consensus on the challenges and potential solutions regarding collecting data, delivering treatment, and the ethical challenges in digital mental health approaches for schizophrenia and SMI. METHODS The consensus development panel method was used, with an in-person meeting of 2 groups: the expert group and the panel. Membership was multidisciplinary including those with lived experience, with equal participation at all stages and coproduction of the consensus outputs and summary. Relevant literature was shared in advance of the meeting, and a systematic search of the recent literature on digital mental health interventions for schizophrenia and psychosis was completed to ensure that the panel was informed before the meeting with the expert group. RESULTS Four broad areas of challenge and proposed solutions were identified: (1) user involvement for real coproduction; (2) new approaches to methodology in digital mental health, including agreed standards, data sharing, measuring harms, prevention strategies, and mechanistic research; (3) regulation and funding issues; and (4) implementation in real-world settings (including multidisciplinary collaboration, training, augmenting existing service provision, and social and population-focused approaches). Examples are provided with more detail on human-centered research design, lived experience perspectives, and biomedical ethics in digital mental health approaches for SMI. CONCLUSIONS The group agreed by consensus on a number of recommendations: (1) a new and improved approach to digital mental health research (with agreed reporting standards, data sharing, and shared protocols), (2) equal emphasis on social and population research as well as biological and psychological approaches, (3) meaningful collaborations across varied disciplines that have previously not worked closely together, (4) increased focus on the business model and product with planning and new funding structures across the whole development pathway, (5) increased focus and reporting on ethical issues and potential harms, and (6) organizational changes to allow for true communication and coproduction with those with lived experience of SMI. This study approach, combining an international expert meeting with patient and public involvement and engagement throughout the process, consensus methodology, discussion, and publication, is a helpful way to identify directions for future research and clinical implementation in rapidly evolving areas and can be combined with measurements of real-world clinical impact over time. Similar initiatives will be helpful in other areas of digital mental health and similarly fast-evolving fields to focus research and organizational change and effect improved real-world clinical implementation.
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Affiliation(s)
- Katharine A Smith
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
| | - Amy Hardy
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | | | - Charlotte Blease
- Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Lea Milligan
- MQ Mental Health Research, London, United Kingdom
| | - Diego Hidalgo-Mazzei
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Sinéad Lambe
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Lisa Marzano
- School of Science and Technology, Middlesex University, London, United Kingdom
| | - Peter J Uhlhaas
- Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Edoardo G Ostinelli
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
| | - Gerard Anmella
- Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Digital Innovation Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Medicine, School of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Caroline Zangani
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
| | - Rosario Aronica
- Psychiatry Unit, Department of Neurosciences and Mental Health, Ospedale Maggiore Policlinico Ca' Granda, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Bridget Dwyer
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - John Torous
- Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, United Kingdom
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, United Kingdom
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Hiller JK, Jangmo A, Tesli MS, Jaholkowski PP, Hoseth EZ, Steen NE, Haram M. Lipid Biomarker Research in Bipolar Disorder: A Scoping Review of Trends, Challenges, and Future Directions. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:594-604. [PMID: 37881590 PMCID: PMC10593953 DOI: 10.1016/j.bpsgos.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 07/10/2023] [Accepted: 07/13/2023] [Indexed: 10/27/2023] Open
Abstract
Bipolar disorder (BD) is a disabling disorder with heterogeneous symptom profiles and trajectories. Like many other neuropsychiatric disorders, clinical decision making related to diagnoses and choice of treatment is based on clinical assessments alone, and risk prediction for treatment success or resistance at an individual level remains sparse. An enormous effort to add biological markers to this risk prediction is ongoing. The role of lipids in normal brain functioning is well established, and several hypotheses about the role of lipids in the pathogenesis of neuropsychiatric disorders, including BD, have been made. The frequent comorbidity between neuropsychiatric disorders and cardiovascular disease, the genetic overlap of risk genes for severe mental disorders and genes involved in lipid regulation, and the lipid-altering effects of antipsychotics and mood stabilizers indicate that lipids could hold promise as biomarkers for neuropsychiatric disorders, including BD. To date, reviews of lipid biomarkers in schizophrenia and major depression have noted caveats for future investigations, while reviews of lipid biomarker research in BD is missing. In the current scoping review, we present a comprehensive overview of trends in previous research on lipid biomarkers in BD. The current literature varies greatly in the phenotypes investigated and study designs, leading to divergent findings. Small sample size; potential confounders related to physical activity, nutritional status, and medication use; and cross-sectional designs were frequently reported limitations. Future research may benefit from pivoting toward utilization of newer laboratory techniques such as lipidomics, but consistent use of study methods across cohorts is also needed.
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Affiliation(s)
| | - Andreas Jangmo
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Martin Steen Tesli
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Research and Education in Forensic Psychiatry, Department of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Piotr Pawel Jaholkowski
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eva Zsuzsanna Hoseth
- Clinic of Mental Health and Addiction, Møre and Romsdal Health Trust, Kristiansund, Norway
| | - Nils Eiel Steen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Marit Haram
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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Strejilevich SA, Samamé C, Quiroz D. "The neuroprogression hypothesis in bipolar disorders: Time for apologies?". Bipolar Disord 2023; 25:353-354. [PMID: 37578831 DOI: 10.1111/bdi.13358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
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Ilzarbe L, Vieta E. The elephant in the room: Medication as confounder. Eur Neuropsychopharmacol 2023; 71:6-8. [PMID: 36931073 DOI: 10.1016/j.euroneuro.2023.03.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/19/2023]
Affiliation(s)
- Lidia Ilzarbe
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036, Barcelona, Spain; Institute of Neurosciences (UBNeuro)
| | - Eduard Vieta
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036, Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036, Barcelona, Spain; Institute of Neurosciences (UBNeuro); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
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7
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Huo YJ, Li XY, Zhang M, Gao C, Xiao Q, Zhao YH, Gao S, Gong TT, Wu QJ. Strong Cumulative Evidence of Associations of 6 Single Nucleotide Polymorphisms with Ovarian Cancer Risk: An Umbrella Review. J Clin Med 2023; 12:jcm12052025. [PMID: 36902812 PMCID: PMC10004083 DOI: 10.3390/jcm12052025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 02/26/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023] Open
Abstract
Background: An increasing number of studies have reported associations between single nucleotide polymorphisms (SNPs) and ovarian cancer (OC) risk. However, some of the findings were inconsistent. The objective of this umbrella review was to evaluate the associations comprehensively and quantitatively. Methods: The protocol of this review was registered in PROSPERO (No. CRD42022332222). We searched the PubMed, Web of Science, and Embase databases to identify related systematic reviews and meta-analyses from inception to 15 October 2021. In addition to estimating the summary effect size by using fixed and random effects models and calculating the 95% prediction interval, we evaluated the cumulative evidence for associations with nominally statistical significance based on the Venice criteria and false positive report probability (FPRP). Results: Forty articles were included in this umbrella review, which referred to a total of 54 SNPs. The median number of original studies per meta-analysis was four, while the median number of total subjects was 3455. All included articles had greater than moderate methodological quality. A total of 18 SNPs were nominally statistically associated with OC risk; 6 SNPs (8 genetic models), 5 SNPs (7 genetic models), and 16 SNPs (25 genetic models) were identified as strong, moderate, and weak cumulative evidence, respectively. Conclusion: This umbrella review revealed associations between SNPs and OC risk and suggested strong cumulative evidence of associations of six SNPs (eight genetic models) with OC risk.
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Affiliation(s)
- Ying-Jun Huo
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang 110004, China
| | - Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang 110004, China
| | - Meng Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang 110004, China
| | - Chang Gao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang 110004, China
| | - Qian Xiao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang 110004, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Correspondence: (T.-T.G.); (Q.-J.W.); Tel.: +86-24-96615-41311 (T.-T.G.); +86-24-96615-13652 (Q.-J.W.)
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang 110004, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang 110004, China
- Correspondence: (T.-T.G.); (Q.-J.W.); Tel.: +86-24-96615-41311 (T.-T.G.); +86-24-96615-13652 (Q.-J.W.)
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8
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Hu X, Yu C, Dong T, Yang Z, Fang Y, Jiang Z. Biomarkers and detection methods of bipolar disorder. Biosens Bioelectron 2022; 220:114842. [DOI: 10.1016/j.bios.2022.114842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 09/16/2022] [Accepted: 10/19/2022] [Indexed: 12/01/2022]
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Methodological approaches for assessing certainty of the evidence in umbrella reviews: A scoping review. PLoS One 2022; 17:e0269009. [PMID: 35675337 PMCID: PMC9176806 DOI: 10.1371/journal.pone.0269009] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 05/12/2022] [Indexed: 01/04/2023] Open
Abstract
Introduction The number of umbrella reviews (URs) that compiled systematic reviews and meta-analysis (SR-MAs) has increased dramatically over recent years. No formal guidance for assessing the certainty of evidence in URs of meta-analyses exists nowadays. URs of non-interventional studies help establish evidence linking exposure to certain health outcomes in a population. This study aims to identify and describe the methodological approaches for assessing the certainty of the evidence in published URs of non-interventions. Methods We searched from 3 databases including PubMed, Embase, and The Cochrane Library from May 2010 to September 2021. We included URs that included SR-MAs of studies with non-interventions. Two independent reviewers screened and extracted data. We compared URs characteristics stratified by publication year, journal ranking, journal impact factor using Chi-square test. Results Ninety-nine URs have been included. Most were SR-MAs of observational studies evaluating association of non-modifiable risk factors with some outcomes. Only half (56.6%) of the included URs assessed the certainty of the evidence. The most frequently used criteria is credibility assessment (80.4%), followed by GRADE approach (14.3%). URs published in journals with higher journal impact factor assessed certainty of evidence than URs published in lower impact group (77.1 versus 37.2% respectively, p < 0.05). However, criteria for credibility assessment used in four of the seven URs that were published in top ranking journals were slightly varied. Conclusions Half of URs of MAs of non-interventional studies have assessed the certainty of the evidence, in which criteria for credibility assessment was the commonly used method. Guidance and standards are required to ensure the methodological rigor and consistency of certainty of evidence assessment for URs.
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Popovic D, Schiltz K, Falkai P, Koutsouleris N. Präzisionspsychiatrie und der Beitrag von Brain Imaging und anderen Biomarkern. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2020; 88:778-785. [PMID: 33307561 DOI: 10.1055/a-1300-2162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
'Precision Psychiatry' as the psychiatric variant of 'Precision Medicine' aims to provide high-level diagnosis and treatment based on robust biomarkers and tailored to the individual clinical, neurobiological, and genetic constitution of the patient. The specific peculiarity of psychiatry, in which disease entities are normatively defined based on clinical experience and are also significantly influenced by contemporary history, society and philosophy, has so far made the search for valid and reliable psychobiological connections difficult. Nevertheless, considerable progress has now been made in all areas of psychiatric research, made possible above all by the critical review and renewal of previous concepts of disease and psychopathology, the increased orientation towards neurobiology and genetics, and in particular the use of machine learning methods. Notably, modern machine learning methods make it possible to integrate high-dimensional and multimodal data sets and generate models which provide new psychobiological insights and offer the possibility of individualized, biomarker-driven single-subject prediction of diagnosis, therapy response and prognosis. The aim of the present review is therefore to introduce the concept of 'Precision Psychiatry' to the interested reader, to concisely present modern, machine learning methods required for this, and to clearly present the current state and future of biomarker-based 'precision psychiatry'.
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Affiliation(s)
- David Popovic
- Klinikum der Universität München, Klinik und Poliklinik für Psychiatrie und Psychotherapie.,International Max Planck Research School for Translational Psychiatry
| | - Kolja Schiltz
- Klinikum der Universität München, Klinik und Poliklinik für Psychiatrie und Psychotherapie
| | - Peter Falkai
- Klinikum der Universität München, Klinik und Poliklinik für Psychiatrie und Psychotherapie.,International Max Planck Research School for Translational Psychiatry
| | - Nikolaos Koutsouleris
- Klinikum der Universität München, Klinik und Poliklinik für Psychiatrie und Psychotherapie.,International Max Planck Research School for Translational Psychiatry
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11
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The biology of aggressive behavior in bipolar disorder: A systematic review. Neurosci Biobehav Rev 2020; 119:9-20. [DOI: 10.1016/j.neubiorev.2020.09.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 08/26/2020] [Accepted: 09/08/2020] [Indexed: 01/04/2023]
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12
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Fullana MA, Abramovitch A, Via E, López-Sola C, Goldberg X, Reina N, Fortea L, Solanes A, Buckley MJ, Ramella-Cravaro V, Carvalho AF, Tortella-Feliu M, Vieta E, Soriano-Mas C, Lázaro L, Stein DJ, Fernández de la Cruz L, Mataix-Cols D, Radua J. Diagnostic biomarkers for obsessive-compulsive disorder: A reasonable quest or ignis fatuus? Neurosci Biobehav Rev 2020; 118:504-513. [DOI: 10.1016/j.neubiorev.2020.08.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/31/2020] [Accepted: 08/14/2020] [Indexed: 12/21/2022]
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13
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Mitochondria under the spotlight: On the implications of mitochondrial dysfunction and its connectivity to neuropsychiatric disorders. Comput Struct Biotechnol J 2020; 18:2535-2546. [PMID: 33033576 PMCID: PMC7522539 DOI: 10.1016/j.csbj.2020.09.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 09/06/2020] [Accepted: 09/07/2020] [Indexed: 12/30/2022] Open
Abstract
Neuropsychiatric disorders (NPDs) such as bipolar disorder (BD), schizophrenia (SZ) and mood disorder (MD) are hard to manage due to overlapping symptoms and lack of biomarkers. Risk alleles of BD/SZ/MD are emerging, with evidence suggesting mitochondrial (mt) dysfunction as a critical factor for disease onset and progression. Mood stabilizing treatments for these disorders are scarce, revealing the need for biomarker discovery and artificial intelligence approaches to design synthetically accessible novel therapeutics. Here, we show mt involvement in NPDs by associating 245 mt proteins to BD/SZ/MD, with 7 common players in these disease categories. Analysis of over 650 publications suggests that 245 NPD-linked mt proteins are associated with 800 other mt proteins, with mt impairment likely to rewire these interactions. High dosage of mood stabilizers is known to alleviate manic episodes, but which compounds target mt pathways is another gap in the field that we address through mood stabilizer-gene interaction analysis of 37 prescriptions and over-the-counter psychotropic treatments, which we have refined to 15 mood-stabilizing agents. We show 26 of the 245 NPD-linked mt proteins are uniquely or commonly targeted by one or more of these mood stabilizers. Further, induced pluripotent stem cell-derived patient neurons and three-dimensional human brain organoids as reliable BD/SZ/MD models are outlined, along with multiomics methods and machine learning-based decision making tools for biomarker discovery, which remains a bottleneck for precision psychiatry medicine.
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Manchia M, Vieta E, Smeland OB, Altimus C, Bechdolf A, Bellivier F, Bergink V, Fagiolini A, Geddes JR, Hajek T, Henry C, Kupka R, Lagerberg TV, Licht RW, Martinez-Cengotitabengoa M, Morken G, Nielsen RE, Pinto AG, Reif A, Rietschel M, Ritter P, Schulze TG, Scott J, Severus E, Yildiz A, Kessing LV, Bauer M, Goodwin GM, Andreassen OA. Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action. Eur Neuropsychopharmacol 2020; 36:121-136. [PMID: 32536571 DOI: 10.1016/j.euroneuro.2020.05.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/15/2020] [Accepted: 05/24/2020] [Indexed: 12/15/2022]
Abstract
Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identification of the underlying pathophysiology for BD is fundamental to realize major health benefits through better treatment and preventive regimens. However, to achieve these goals requires coordinated action and innovative approaches to boost the discovery of the neurobiological underpinnings of BD, and rapid translation of research findings into development and testing of better and more specific treatments. To this end, we here propose that only a large-scale coordinated action can be successful in integrating international big-data approaches with real-world clinical interventions. This could be achieved through the creation of a Global Bipolar Disorder Foundation, which could bring government, industry and philanthropy together in common cause. A global initiative for BD research would come at a highly opportune time given the seminal advances promised for our understanding of the genetic and brain basis of the disease and the obvious areas of unmet clinical need. Such an endeavour would embrace the principles of open science and see the strong involvement of user groups and integration of dissemination and public involvement with the research programs. We believe the time is right for a step change in our approach to understanding, treating and even preventing BD effectively.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Eduard Vieta
- Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Olav B Smeland
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Andreas Bechdolf
- Vivantes Klinikum im Friedrichshain, Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Charité-Universitätsmedizin, Berlin, Germany; Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany; ORYGEN, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia
| | - Frank Bellivier
- Université de Paris and INSERM UMRS 1144, Paris, France; AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, Hopital Fernand Widal, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - Veerle Bergink
- Department of Psychiatry - Erasmus Medical Center, Rotterdam, the Netherlands; Department of Psychiatry, Department of Obstetrics, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena, Siena, Italy
| | - John R Geddes
- Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, United Kingdom
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; National Institute of Mental Health, Klecany, Czech Republic
| | - Chantal Henry
- Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, F-75014 Paris, France
| | - Ralph Kupka
- Amsterdam UMC, Vrije Universiteit, Department of Psychiatry, Amsterdam, Netherlands
| | - Trine V Lagerberg
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Rasmus W Licht
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Psychiatry - Aalborg University Hospital, Aalborg, Denmark
| | | | - Gunnar Morken
- Østmarka Department of Psychiatry, St Olav University Hospital, Trondheim, Norway; Department of Mental Health, Faculty of Medicine and Healthsciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - René E Nielsen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Psychiatry - Aalborg University Hospital, Aalborg, Denmark
| | - Ana Gonzalez Pinto
- Hospital Universitario de Alava. BIOARABA, UPV/EHU. CIBERSAM. Vitoria, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany and German Society for Bipolar Disorders (DGBS), Frankfurt am Main, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Phillip Ritter
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig-Maximilian University of Munich, Munich, Germany; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University of Munich, Munich, Germany; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, Maryland, USA; Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Jan Scott
- AP-HP, Groupe Hospitalo-Universitaire AP-HP Nord, Hopital Fernand Widal, DMU Neurosciences, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Department of Mental Health, Faculty of Medicine and Healthsciences, Norwegian University of Science and Technology, Trondheim, Norway; Academic Psychiatry, Institute of Neuroscience, Newcastle University, UK
| | - Emanuel Severus
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Aysegul Yildiz
- Dokuz Eylül University Department of Psychiatry, Izmir, Turkey
| | - Lars Vedel Kessing
- Psychiatric Center Copenhagen and University of Copenhagen, Faculty of Health and Medical Sciences, Denmark
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Guy M Goodwin
- Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, United Kingdom
| | - Ole A Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
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15
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Salagre E, Vizuete A, Leite M, Brownstein D, McGuinness A, Jacka F, Dodd S, Stubbs B, Köhler C, Vieta E, Carvalho A, Berk M, Fernandes B. Homocysteine as a peripheral biomarker in bipolar disorder: A meta-analysis. Eur Psychiatry 2020; 43:81-91. [DOI: 10.1016/j.eurpsy.2017.02.482] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 02/13/2017] [Accepted: 02/14/2017] [Indexed: 12/13/2022] Open
Abstract
AbstractBackground:Bipolar disorder (BD) is a psychiatric disorder with an uncertain aetiology. Recently, special attention has been given to homocysteine (Hcy), as it has been suggested that alterations in 1-carbon metabolism might be implicated in diverse psychiatric disorders. However, there is uncertainty regarding possible alterations in peripheral Hcy levels in BD.Methods:This study comprises a meta-analysis comparing serum and plasma Hcy levels in persons with BD and healthy controls. We conducted a systematic search for all eligible English and non-English peer-reviewed articles.Results:Nine cross-sectional studies were included in the meta-analyses, providing data on 1547 participants. Random-effects meta-analysis showed that serum and plasma levels of Hcy were increased in subjects with BD in either mania or euthymia when compared to healthy controls, with a large effect size in the mania group (g= 0.98, 95% CI: 0.8–1.17,P< 0.001,n= 495) and a small effect in the euthymia group (g= 0.3, 95% CI: 0.11–0.48,P= 0.002,n= 1052).Conclusions:Our meta-analysis provides evidence that Hcy levels are elevated in persons with BD during mania and euthymia. Peripheral Hcy could be considered as a potential biomarker in BD, both of trait (since it is increased in euthymia), and also of state (since its increase is more accentuated in mania). Longitudinal studies are needed to clarify the relationship between bipolar disorder and Hcy, as well as the usefulness of peripheral Hcy as both a trait and state biomarker in BD.
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16
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Borrione L, Bellini H, Razza LB, Avila AG, Baeken C, Brem AK, Busatto G, Carvalho AF, Chekroud A, Daskalakis ZJ, Deng ZD, Downar J, Gattaz W, Loo C, Lotufo PA, Martin MDGM, McClintock SM, O'Shea J, Padberg F, Passos IC, Salum GA, Vanderhasselt MA, Fraguas R, Benseñor I, Valiengo L, Brunoni AR. Precision non-implantable neuromodulation therapies: a perspective for the depressed brain. ACTA ACUST UNITED AC 2020; 42:403-419. [PMID: 32187319 PMCID: PMC7430385 DOI: 10.1590/1516-4446-2019-0741] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 12/10/2019] [Indexed: 12/13/2022]
Abstract
Current first-line treatments for major depressive disorder (MDD) include pharmacotherapy and cognitive-behavioral therapy. However, one-third of depressed patients do not achieve remission after multiple medication trials, and psychotherapy can be costly and time-consuming. Although non-implantable neuromodulation (NIN) techniques such as transcranial magnetic stimulation, transcranial direct current stimulation, electroconvulsive therapy, and magnetic seizure therapy are gaining momentum for treating MDD, the efficacy of non-convulsive techniques is still modest, whereas use of convulsive modalities is limited by their cognitive side effects. In this context, we propose that NIN techniques could benefit from a precision-oriented approach. In this review, we discuss the challenges and opportunities in implementing such a framework, focusing on enhancing NIN effects via a combination of individualized cognitive interventions, using closed-loop approaches, identifying multimodal biomarkers, using computer electric field modeling to guide targeting and quantify dosage, and using machine learning algorithms to integrate data collected at multiple biological levels and identify clinical responders. Though promising, this framework is currently limited, as previous studies have employed small samples and did not sufficiently explore pathophysiological mechanisms associated with NIN response and side effects. Moreover, cost-effectiveness analyses have not been performed. Nevertheless, further advancements in clinical trials of NIN could shift the field toward a more “precision-oriented” practice.
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Affiliation(s)
- Lucas Borrione
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Helena Bellini
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Lais Boralli Razza
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Ana G Avila
- Centro de Neuropsicologia e Intervenção Cognitivo-Comportamental, Faculdade de Psicologia e Ciências da Educação, Universidade de Coimbra, Coimbra, Portugal
| | - Chris Baeken
- Department of Head and Skin, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Department of Psychiatry, University Hospital (UZ Brussel), Brussels, Belgium.,Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Anna-Katharine Brem
- Max Planck Institute of Psychiatry, Munich, Germany.,Division of Interventional Cognitive Neurology, Department of Neurology, Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Geraldo Busatto
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, USP, São Paulo, SP, Brazil
| | - Andre F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Adam Chekroud
- Spring Health, New York, NY, USA.,Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Zafiris J Daskalakis
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutic & Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.,Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Jonathan Downar
- Department of Psychiatry and Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Centre for Mental Health and Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Wagner Gattaz
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas,
Faculdade de Medicina, USP, São Paulo, SP, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, USP, São Paulo, SP, Brazil
| | - Colleen Loo
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Paulo A Lotufo
- Estudo Longitudinal de Saúde do Adulto (ELSA), Centro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, USP, São Paulo, SP, Brazil
| | - Maria da Graça M Martin
- Laboratório de Ressonância Magnética em Neurorradiologia (LIM-44) and Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina, USP, São Paulo, SP, Brazil
| | - Shawn M McClintock
- Neurocognitive Research Laboratory, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Jacinta O'Shea
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, United Kingdom
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Ives C Passos
- Laboratório de Psiquiatria Molecular e Programa de
Transtorno Bipolar, Hospital de Clínicas de Porto Alegre (HCPA), Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Giovanni A Salum
- Departamento de Psiquiatria, Seção de Afeto Negativo e Processos Sociais (SANPS), HCPA, UFRGS, Porto Alegre, RS, Brazil
| | - Marie-Anne Vanderhasselt
- Department of Head and Skin, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium.,Department of Experimental Clinical and Health Psychology, Psychopathology and Affective Neuroscience Lab, Ghent University, Ghent, Belgium
| | - Renerio Fraguas
- Laboratório de Neuroimagem em Psiquiatria (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, USP, São Paulo, SP, Brazil.,Hospital Universitário, USP, São Paulo, SP, Brazil
| | - Isabela Benseñor
- Estudo Longitudinal de Saúde do Adulto (ELSA), Centro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, USP, São Paulo, SP, Brazil
| | - Leandro Valiengo
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Andre R Brunoni
- Serviço Interdisciplinar de Neuromodulação, Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil.,Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas,
Faculdade de Medicina, USP, São Paulo, SP, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, USP, São Paulo, SP, Brazil.,Hospital Universitário, USP, São Paulo, SP, Brazil
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17
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Stein DJ, Szatmari P, Gaebel W, Berk M, Vieta E, Maj M, de Vries YA, Roest AM, de Jonge P, Maercker A, Brewin CR, Pike KM, Grilo CM, Fineberg NA, Briken P, Cohen-Kettenis PT, Reed GM. Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies. BMC Med 2020; 18:21. [PMID: 31983345 PMCID: PMC6983973 DOI: 10.1186/s12916-020-1495-2] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 01/09/2020] [Indexed: 12/16/2022] Open
Abstract
An update of the chapter on Mental, Behavioral and Neurodevelopmental Disorders in the International Classification of Diseases and Related Health Problems (ICD) is of great interest around the world. The recent approval of the 11th Revision of the ICD (ICD-11) by the World Health Organization (WHO) raises broad questions about the status of nosology of mental disorders as a whole as well as more focused questions regarding changes to the diagnostic guidelines for specific conditions and the implications of these changes for practice and research. This Forum brings together a broad range of experts to reflect on key changes and controversies in the ICD-11 classification of mental disorders. Taken together, there is consensus that the WHO's focus on global applicability and clinical utility in developing the diagnostic guidelines for this chapter will maximize the likelihood that it will be adopted by mental health professionals and administrators. This focus is also expected to enhance the application of the guidelines in non-specialist settings and their usefulness for scaling up evidence-based interventions. The new mental disorders classification in ICD-11 and its accompanying diagnostic guidelines therefore represent an important, albeit iterative, advance for the field.
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Affiliation(s)
- Dan J. Stein
- SA Medical Research Council Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Peter Szatmari
- Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON Canada
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Michael Berk
- Deakin University, IMPACT, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health and the Centre for Youth Mental Health, Parkville, Australia
- Florey Institute for Neuroscience and Mental Health, Parkville, Australia
- Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Eduard Vieta
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia Spain
| | - Mario Maj
- Department of Psychiatry, University of Campania ‘L. Vanvitelli’, Naples, Italy
| | - Ymkje Anna de Vries
- Department of Developmental Psychology, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Annelieke M. Roest
- Department of Developmental Psychology, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Peter de Jonge
- Department of Developmental Psychology, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
| | - Andreas Maercker
- Department of Psychology – Psychopathology and Clinical Intervention, University of Zurich, Zurich, Switzerland
| | - Chris R. Brewin
- Research Deparment of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Kathleen M. Pike
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY USA
| | - Carlos M. Grilo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT USA
| | - Naomi A. Fineberg
- Hertfordshire Partnership University NHS Foundation Trust and University of Hertfordshire, Welwyn Garden City, UK
| | - Peer Briken
- Institute for Sex Research, Sexual Medicine & Forensic Psychiatry, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | | | - Geoffrey M. Reed
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY USA
- Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland
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18
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Mora E, Portella MJ, Piñol-Ripoll G, López R, Cuadras D, Forcada I, Teres M, Vieta E, Mur M. High BDNF serum levels are associated to good cognitive functioning in bipolar disorder. Eur Psychiatry 2020; 60:97-107. [DOI: 10.1016/j.eurpsy.2019.02.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 02/18/2019] [Accepted: 02/18/2019] [Indexed: 01/08/2023] Open
Abstract
AbstractBackground:Neurotrophins such as brain-derived neurotrophic factor (BDNF), inflammation and oxidative damage may contribute to the pathophysiology of bipolar disorder (BD) in terms of illness activity. To date, there is a lack of studies linking the cognitive impairment observed in BD with these neurobiological mechanisms. This study aimed to investigate the role of these neurobiological factors in clinical and cognitive outcomes in a sample of bipolar individuals.Methods:We measured serum BDNF, cytokines and oxidative stress markers in a sample of 133 individuals: 52 euthymic bipolar patients, 32 manic patients and 49 healthy controls. They were all assessed with a comprehensive cognitive battery. Sociodemographic and clinical data were collected. Multiple linear regression models were built to study associations of neurotrophins and inflammatory and oxidative measures with cognitive functioning.Results:BDNF levels were decreased in euthymic (p = 0.039) and manic (p < 0.001) individuals. Conversely, inflammatory (interleukin 6 (IL-6)) (p = 0.019) and oxidative stress (p = 0.003) measures were increased in bipolar individuals compared to controls. BDNF levels were associated with executive functioning (β = 0.01, p = 0.02) and verbal memory (β = 0.013, p = 0.005), together with other demographic variables. In particular, verbal memory was also associated with obesity (β=-0.04, p = 0.005). Neither inflammatory markers, oxidative stress markers nor other relevant clinical variables showed any association with cognitive outcome.Conclusions:Of all the peripheral neurobiological factors analysed, BDNF was the only one significantly associated with cognitive dysfunction in bipolar disorder individuals. This study emphasizes the role of BDNF not only across mood phases but also in cognitive functioning.
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19
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Abstract
The field of 'nutritional psychiatry' has evolved with rapidity over the past several years, with an increasing amount of dietary or nutrient-based (nutraceutical) intervention studies being initiated, and more preclinical and epidemiological data being available. This emergent paradigm involves the clinical consideration (where appropriate) of prescriptive dietary modification/improvement, and/or the select judicious use of nutrient-based supplementation to prevent or manage psychiatric disorders. In the last several years, significant links have increasingly been established between dietary quality and mental health (although not all data are supportive). Maternal and early-life nutrition may also affect the mental health outcomes in offspring. In respect to nutraceutical research, like with many recent conventional drug studies, results are fairly mixed across the board, and in many cases there is not emphatic evidence to support the use of nutraceuticals in various psychiatric disorders. This may in part be due to a preponderance of recent studies within the field revealing marked placebo effects. Due to current indicators pointing towards mental disorders having an increasing burden of disease, bold and innovative approaches on a societal level are now required. In light of the widespread use of nutrient supplements by those with and without mental disorders, it is also critical that scientifically rigorous methodologies be brought to bear on the assessment of the efficacy of these supplements, and to determine if, or what dose of, a nutrient supplement is required, for whom, and when, and under what circumstances. More simple studies of additional isolated nutrients are not of great benefit to the field (unless studied in supra-dosage in an individualised, biomarker-guided manner), nor, based on recent data, is the research of 'shotgun' formulations of nutraceuticals. The next critical step for the field is to design psychiatric interventional studies for both dietary modification and nutraceuticals, based on more of a personalised medicine approach, using biomarkers (e.g. nutrient deficiencies, inflammatory cytokine levels, genomic assessment, microbiome analysis) and a person's dietary patterns and individual macro/micronutrient requirements.
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Affiliation(s)
- Jerome Sarris
- NICM Health Research Institute, Western Sydney University, 158 Hawkesbury Rd, Westmead, NSW, 2145, Australia. .,Professorial Unit, The Melbourne Clinic, Department of Psychiatry, Melbourne University, Richmond, VIC, Australia.
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20
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Scott J, Hidalgo-Mazzei D, Strawbridge R, Young A, Resche-Rigon M, Etain B, Andreassen OA, Bauer M, Bennabi D, Blamire AM, Boumezbeur F, Brambilla P, Cattane N, Cattaneo A, Chupin M, Coello K, Cointepas Y, Colom F, Cousins DA, Dubertret C, Duchesnay E, Ferro A, Garcia-Estela A, Goikolea J, Grigis A, Haffen E, Høegh MC, Jakobsen P, Kalman JL, Kessing LV, Klohn-Saghatolislam F, Lagerberg TV, Landén M, Lewitzka U, Lutticke A, Mazer N, Mazzelli M, Mora C, Muller T, Mur-Mila E, Oedegaard KJ, Oltedal L, Pålsson E, Papadopoulos Orfanos D, Papiol S, Perez-Sola V, Reif A, Ritter P, Rossi R, Schulze T, Senner F, Smith FE, Squarcina L, Steen NE, Thelwall PE, Varo C, Vieta E, Vinberg M, Wessa M, Westlye LT, Bellivier F. Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative. Int J Bipolar Disord 2019; 7:20. [PMID: 31552554 PMCID: PMC6760458 DOI: 10.1186/s40345-019-0156-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 07/24/2019] [Indexed: 01/01/2023] Open
Abstract
Background Lithium is recommended as a first line treatment for bipolar disorders. However, only 30% of patients show an optimal outcome and variability in lithium response and tolerability is poorly understood. It remains difficult for clinicians to reliably predict which patients will benefit without recourse to a lengthy treatment trial. Greater precision in the early identification of individuals who are likely to respond to lithium is a significant unmet clinical need. Structure The H2020-funded Response to Lithium Network (R-LiNK; http://www.r-link.eu.com/) will undertake a prospective cohort study of over 300 individuals with bipolar-I-disorder who have agreed to commence a trial of lithium treatment following a recommendation by their treating clinician. The study aims to examine the early prediction of lithium response, non-response and tolerability by combining systematic clinical syndrome subtyping with examination of multi-modal biomarkers (or biosignatures), including omics, neuroimaging, and actigraphy, etc. Individuals will be followed up for 24 months and an independent panel will assess and classify each participants’ response to lithium according to predefined criteria that consider evidence of relapse, recurrence, remission, changes in illness activity or treatment failure (e.g. stopping lithium; new prescriptions of other mood stabilizers) and exposure to lithium. Novel elements of this study include the recruitment of a large, multinational, clinically representative sample specifically for the purpose of studying candidate biomarkers and biosignatures; the application of lithium-7 magnetic resonance imaging to explore the distribution of lithium in the brain; development of a digital phenotype (using actigraphy and ecological momentary assessment) to monitor daily variability in symptoms; and economic modelling of the cost-effectiveness of introducing biomarker tests for the customisation of lithium treatment into clinical practice. Also, study participants with sub-optimal medication adherence will be offered brief interventions (which can be delivered via a clinician or smartphone app) to enhance treatment engagement and to minimize confounding of lithium non-response with non-adherence. Conclusions The paper outlines the rationale, design and methodology of the first study being undertaken by the newly established R-LiNK collaboration and describes how the project may help to refine the clinical response phenotype and could translate into the personalization of lithium treatment. Electronic supplementary material The online version of this article (10.1186/s40345-019-0156-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jan Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.,Université Paris Diderot, 75013, Paris, France
| | - Diego Hidalgo-Mazzei
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, University of Barcelona, IDIBAPS, CIBERSAM, Villaroel 170, 08036, Barcelona, Catalonia, Spain
| | - Rebecca Strawbridge
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Allan Young
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Matthieu Resche-Rigon
- Université Paris Diderot, 75013, Paris, France.,Service de Biostatistique et Information Médicale, Hôpital Saint-Louis, AP-HP, Paris, France.,Inserm, UMR 1153, Equipe ECSTRA, Paris, France
| | - Bruno Etain
- Université Paris Diderot, 75013, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, AP-HP, GH Saint-Louis - Lariboisière - F. Widal, 75475, Paris, France.,Inserm, U1144, Team 1, 75006, Paris, France
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Djamila Bennabi
- Department of Clinical Psychiatry, Inserm CIC 1431, CHU Besançon, 25000, Besançon, France.,Laboratoire de Neurosciences, Université Bourgogne Franche-Comté, 25000, Besançon, France
| | - Andrew M Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Fawzi Boumezbeur
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.,Department of Psychiatry and Behavioural Neurosciences, University of Texas at Houston, Houston, TX, USA
| | - Nadia Cattane
- IRCCS Istituto Centro San Giovanni di Dio - Fatebenefratelli, Brescia, Italy
| | - Annamaria Cattaneo
- IRCCS Istituto Centro San Giovanni di Dio - Fatebenefratelli, Brescia, Italy
| | - Marie Chupin
- CATI Neuroimaging Platform, ICM, Pitié Salpétrière Hospital, 75013, Paris, France.,Institut du Cerveau et de la Moelle épinière, ICM, 75013, Paris, France.,Inserm, U1127, 75013, Paris, France.,CNRS, UMR 7225, 75013, Paris, France.,Sorbonne Université, 75013, Paris, France
| | - Klara Coello
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, University Hospital of Copenhagen, Copenhagen, Denmark
| | - Yann Cointepas
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France.,CATI Neuroimaging Platform, ICM, Pitié Salpétrière Hospital, 75013, Paris, France
| | - Francesc Colom
- Mental Health Research Program, IMIM, Hospital del Mar, CIBERSAM, Barcelona, Catalonia, Spain
| | - David A Cousins
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,Northumberland Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, NE3 3XT, UK
| | - Caroline Dubertret
- Université Paris Diderot, 75013, Paris, France.,APHP; Psychiatry Department, University Hospital Louis Mourier, Colombes, France.,INSERM U894, Institute of Psychiatry and Neurosciences of Paris, Paris, France
| | - Edouard Duchesnay
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Adele Ferro
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Aitana Garcia-Estela
- Mental Health Research Program, IMIM, Hospital del Mar, CIBERSAM, Barcelona, Catalonia, Spain
| | - Jose Goikolea
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, University of Barcelona, IDIBAPS, CIBERSAM, Villaroel 170, 08036, Barcelona, Catalonia, Spain
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, 91191, Gif-sur-Yvette, France
| | - Emmanuel Haffen
- Department of Clinical Psychiatry, Inserm CIC 1431, CHU Besançon, 25000, Besançon, France.,Laboratoire de Neurosciences, Université Bourgogne Franche-Comté, 25000, Besançon, France
| | - Margrethe C Høegh
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Petter Jakobsen
- NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Lars V Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, University Hospital of Copenhagen, Copenhagen, Denmark
| | - Farah Klohn-Saghatolislam
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Trine V Lagerberg
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Mikael Landén
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ute Lewitzka
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Ashley Lutticke
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Nicolas Mazer
- APHP; Psychiatry Department, University Hospital Louis Mourier, Colombes, France.,INSERM U894, Institute of Psychiatry and Neurosciences of Paris, Paris, France
| | - Monica Mazzelli
- IRCCS Istituto Centro San Giovanni di Dio - Fatebenefratelli, Brescia, Italy
| | - Cristina Mora
- IRCCS Istituto Centro San Giovanni di Dio - Fatebenefratelli, Brescia, Italy
| | - Thorsten Muller
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Estanislao Mur-Mila
- Mental Health Research Program, IMIM, Hospital del Mar, CIBERSAM, Barcelona, Catalonia, Spain
| | - Ketil Joachim Oedegaard
- NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Leif Oltedal
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Erik Pålsson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Victor Perez-Sola
- Mental Health Research Program, IMIM, Hospital del Mar, CIBERSAM, Barcelona, Catalonia, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Philipp Ritter
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Roberto Rossi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio - Fatebenefratelli, Brescia, Italy
| | - Thomas Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Fiona E Smith
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Letizia Squarcina
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Nils Eiel Steen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Pete E Thelwall
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.,Newcastle Magnetic Resonance Centre, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Cristina Varo
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, University of Barcelona, IDIBAPS, CIBERSAM, Villaroel 170, 08036, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Department of Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, University of Barcelona, IDIBAPS, CIBERSAM, Villaroel 170, 08036, Barcelona, Catalonia, Spain
| | - Maj Vinberg
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, University Hospital of Copenhagen, Copenhagen, Denmark
| | - Michele Wessa
- Department of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg-University Mainz, Wallstraße 3, 55122, Mainz, Germany
| | - Lars T Westlye
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| | - Frank Bellivier
- Université Paris Diderot, 75013, Paris, France. .,Département de Psychiatrie et de Médecine Addictologique, AP-HP, GH Saint-Louis - Lariboisière - F. Widal, 75475, Paris, France. .,Inserm, U1144, Team 1, 75006, Paris, France.
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21
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Cook IA, Congdon E, Krantz DE, Hunter AM, Coppola G, Hamilton SP, Leuchter AF. Time Course of Changes in Peripheral Blood Gene Expression During Medication Treatment for Major Depressive Disorder. Front Genet 2019; 10:870. [PMID: 31620172 PMCID: PMC6760033 DOI: 10.3389/fgene.2019.00870] [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: 12/20/2018] [Accepted: 08/20/2019] [Indexed: 12/11/2022] Open
Abstract
Changes in gene expression (GE) during antidepressant treatment may increase understanding of the action of antidepressant medications and serve as biomarkers of efficacy. GE changes in peripheral blood are desirable because they can be assessed easily on multiple occasions during treatment. We report here on GE changes in 68 individuals who were treated for 8 weeks with either escitalopram alone, or escitalopram followed by bupropion. GE changes were assessed after 1, 2, and 8 weeks of treatment, with significant changes observed in 156, 121, and 585 peripheral blood gene transcripts, respectively. Thirty-one transcript changes were shared between the 1- and 8-week time points (seven upregulated, 24 downregulated). Differences were detected between the escitalopram- and bupropion-treated subjects, although there was no significant association between GE changes and clinical outcome. A subset of 18 genes overlapped with those previously identified as differentially expressed in subjects with MDD compared with healthy control subjects. There was statistically significant overlap between genes differentially expressed in the current and previous studies, with 10 genes overlapping in at least two previous studies. There was no enrichment for genes overexpressed in nervous system cell types, but there was a trend toward enrichment for genes in the WNT/β-catenin pathway in the anterior thalamus; three genes in this pathway showed differential expression in the present and in three previous studies. Our dataset and other similar studies will provide an important source of information about potential biomarkers of recovery and for potential dysregulation of GE in MDD.
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Affiliation(s)
- Ian A Cook
- Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Bioengineering, Henry Samueli School of Engineering at Applied Science, University of California, Los Angeles, Los Angeles, CA, United States
| | - Eliza Congdon
- Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - David E Krantz
- Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Aimee M Hunter
- Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Giovanni Coppola
- Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Steven P Hamilton
- Department of Psychiatry, Kaiser Permanente Northern California, San Francisco, CA, United States.,Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Andrew F Leuchter
- Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
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22
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Kim JY, Son MJ, Son CY, Radua J, Eisenhut M, Gressier F, Koyanagi A, Carvalho AF, Stubbs B, Solmi M, Rais TB, Lee KH, Kronbichler A, Dragioti E, Shin JI, Fusar-Poli P. Environmental risk factors and biomarkers for autism spectrum disorder: an umbrella review of the evidence. Lancet Psychiatry 2019; 6:590-600. [PMID: 31230684 DOI: 10.1016/s2215-0366(19)30181-6] [Citation(s) in RCA: 149] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 03/19/2019] [Accepted: 04/16/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Numerous studies have identified potential risk factors and biomarkers for autism spectrum disorder. We aimed to study the strength and validity of the suggested environmental risk factors or biomarkers of autism spectrum disorder. METHODS We did an umbrella review and systematically appraised the relevant meta-analyses of observational studies. We searched PubMed, Embase, and the Cochrane Database of Systematic Reviews for papers published between database inception and Oct 17, 2018, and screened the reference list of relevant articles. We obtained the summary effect, 95% CI, heterogeneity, and 95% prediction intervals. We examined small study effects and excess significance. We did analyses under credibility ceilings. This review is registered with PROSPERO, number CRD42018091704. FINDINGS 46 eligible articles yielded data on 67 environmental risk factors (544 212 cases, 81 708 787 individuals) and 52 biomarkers (15 614 cases, 15 433 controls). Evidence of association was convincing for maternal age of 35 years or over (relative risk [RR] 1·31, 95% CI 1·18-1·45), maternal chronic hypertension (odds ratio [OR] 1·48, 1·29-1·70), maternal gestational hypertension (OR 1·37, 1·21-1·54), maternal overweight before or during pregnancy (RR 1·28, 1·19-1·36), pre-eclampsia (RR 1·32, 1·20-1·45), prepregnancy maternal antidepressant use (RR 1·48, 1·29-1·71), and maternal selective serotonin reuptake inhibitor (SSRI) use during pregnancy (OR 1·84, 1·60-2·11). Only two associations, maternal overweight before or during pregnancy and SSRI use during pregnancy, retained their high level of evidence under subset sensitivity analyses. Evidence from biomarkers was scarce, being supported by p values close to the significance threshold and too few cases. INTERPRETATION Convincing evidence suggests that maternal factors, such as age and features of metabolic syndrome, are associated with risk of autism spectrum disorder. Although SSRI use during pregnancy was also associated with such risk when exposed and non-exposed groups were compared, this association could be affected by other confounding factors, considering that prepregnancy maternal antidepressant use was also convincingly associated with higher risk of autism spectrum disorder. Findings from previous studies suggest that one possible confounding factor is underlying maternal psychiatric disorders. FUNDING None.
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Affiliation(s)
- Jong Yeob Kim
- Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Min Ji Son
- Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chei Yun Son
- Department of Psychological & Brain Sciences, Washington University in St. Louis, MO, USA
| | - Joaquim Radua
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; FIDMAG Germanes Hospitalaries, CIBERSAM, Barcelona, Spain; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Michael Eisenhut
- Department of Pediatrics, Luton & Dunstable University Hospital NHS Foundation Trust, Luton, UK
| | - Florence Gressier
- CESP, Inserm UMR1178, Department of Psychiatry, Assistance Publique-Hôpitaux de Paris, Bicêtre University Hospital, Le Kremlin Bicêtre, France
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Barcelona, Spain; Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain; Centre for Addiction & Mental Health, Toronto, ON, Canada
| | - Andre F Carvalho
- Centre for Addiction & Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marco Solmi
- Department of Neurosciences and Neurosciences Center, University of Padua, Padua, Italy; Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Theodor B Rais
- Department of Psychiatry, University of Toledo Medical Center, Toledo, Ohio, USA
| | - Keum Hwa Lee
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea; Department of Pediatrics, Severance Children's Hospital, Seoul, South Korea
| | - Andreas Kronbichler
- Department of Internal Medicine IV, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Elena Dragioti
- Pain and Rehabilitation center and Department of Medicine and Health Sciences (IMH), Faculty of Health Sciences University of Linköping, Linköping, Sweden
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea; Department of Pediatrics, Severance Children's Hospital, Seoul, South Korea.
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
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23
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Affiliation(s)
- Diego Hidalgo-Mazzei
- 1 Mental Health Group, IMIM-Hospital del Mar, Barcelona, Spain.,2 Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Allan H Young
- 2 Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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24
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A systematic review on sleep alterations anticipating the onset of bipolar disorder. Eur Psychiatry 2019; 58:45-53. [DOI: 10.1016/j.eurpsy.2019.02.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/23/2019] [Accepted: 02/08/2019] [Indexed: 12/14/2022] Open
Abstract
AbstractBackground:Sleep alterations are frequent occurrence in Bipolar Disorder (BD), both in acute and interepisodic phases. Sleep alterations have been also described both long before BD onset, as aspecific risk syndromes, or as immediate prodromes of BD onset. The aim of the present study is to systematically review the relationship between sleep alterations anticipating for the full-blown onset of BD, both in general and according to specific polarities of onset.Methods:A systematic literature research according to PRISMA statement and considering: 1. prospective studies about BD patients’ offspring with sleep alterations who later developed BD. 2. prospective studies assessing patients with sleep disorders who later developed BD. 3. retrospective studies on BD patients where sleep alterations before BD onset of the disease were reported.Results:A total of 16 studies were included in this review. Sleep disturbances may frequently appear 1 year before the onset of BD or more, often during childhood or adolescence. A decreased need for sleep may precede the onset of the illness, specially a manic episode, while insomnia appears to anticipate either a manic or a depressive episode. Hypersomnia seems to precede bipolar depressive episodes.Conclusions:Sleep alterations frequently appear long before the onset of BD, and appear to be related specifically to the polarity of the index episode. The detection and treatment of sleep alterations in special high risk populations may help achieving an earlier detection of the illness.
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25
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Pasquali MA, Harlow BL, Soares CN, Otto MW, Cohen LS, Minuzzi L, Gelain DP, Moreira JCF, Frey BN. A longitudinal study of neurotrophic, oxidative, and inflammatory markers in first-onset depression in midlife women. Eur Arch Psychiatry Clin Neurosci 2018; 268:771-781. [PMID: 28550365 DOI: 10.1007/s00406-017-0812-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Accepted: 05/19/2017] [Indexed: 12/15/2022]
Abstract
Prospective studies have shown during the years preceding and following menopause, also known as "menopause transition", that midlife women are at higher risk for developing first-onset major depressive disorder (MDD). The biological factors associated with risk and resilience in this population are, however, largely unknown. Considering the growing body of evidence suggesting that inflammation, oxidative stress, and brain-derived neurotrophic factor (BDNF) are associated with the pathophysiology of MDD, we investigated serum levels of protein carbonyl, lipid peroxidation (thiobarbituric acid reactive substances-TBARS), thiol group content, BDNF, 3-nitrotyrosine, and heat shock protein 70 (HSP70) in a longitudinal cohort of first-onset MDD. One hundred and forty-eight women from the Harvard Study of Moods and Cycles, a prospective study of midlife women monitored throughout the transition to menopause, were studied. Within- and between-groups analyses of these peripheral markers were conducted in 37 women who developed and 111 women that did not develop MDD during the 3-year follow-up period. In women who developed MDD, HSP70 and 3-nitrotyrosine were elevated at baseline, whereas TBARS were elevated 6 months prior to development of MDD, as compared to those who did not develop MDD. Within-group analyses showed that HSP70, 3-nitrotyrosine, and BDNF decreased over time, whereas protein carbonyl was elevated only at 12 months prior to development of MDD. In women who did not develop MDD, HSP70 and thiol decreased over time. The development of MDD in midlife women may be associated with a systemic cascade of pro-oxidative and pro-inflammatory events including increased HSP70, 3-nitrotyrosine, protein carbonyl, and lipid peroxidation and decreased BDNF.
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Affiliation(s)
- Matheus A Pasquali
- Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Centro de Estudos em Estresse Oxidativo, Departamento de Bioquímica, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Bernard L Harlow
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Claudio N Soares
- Department of Psychiatry, Queen's University School of Medicine, Kingston, Canada
| | - Michael W Otto
- Department of Psychological and Brain Sciences, Boston University, Boston, USA
| | - Lee S Cohen
- Center for Women's Mental Health, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Luciano Minuzzi
- Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, 100 West 5th Street, Suite C124, Hamilton, ON, L8N 3K7, Canada
| | - Daniel P Gelain
- Centro de Estudos em Estresse Oxidativo, Departamento de Bioquímica, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Jose Claudio F Moreira
- Centro de Estudos em Estresse Oxidativo, Departamento de Bioquímica, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Benicio N Frey
- Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada. .,Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada. .,Department of Psychiatry and Behavioural Neurosciences, McMaster University, 100 West 5th Street, Suite C124, Hamilton, ON, L8N 3K7, Canada.
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Immune Aberrations in Obsessive-Compulsive Disorder: a Systematic Review and Meta-analysis. Mol Neurobiol 2018; 56:4751-4759. [PMID: 30382535 DOI: 10.1007/s12035-018-1409-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 10/24/2018] [Indexed: 01/18/2023]
Abstract
Some lines of evidence have indicated that immune dysregulation could play a role in the pathophysiology of obsessive-compulsive disorder (OCD). However, results have been inconsistent across studies. Thus, a systematic review and meta-analysis of studies measuring immune mediators in participants with OCD compared to healthy controls (HC) was conducted. The PubMed/MEDLINE, PsycINFO, and EMBASE electronic databases were systematically searched from inception through June 21, 2018. Sixteen studies met inclusion criteria comprising data from 1001 participants (538 with OCD and 463 were HCs). Levels of TNF-α, IL-6, IL-1β, IL-4, IL-10, and interferon-γ did not significantly differ between participants with OCD and healthy controls. In addition, the ex vivo production of TNF-α and IL-6 by isolated macrophages did not significantly differ between participants with OCD and HCs. Nevertheless, included studies have varied in methodological quality with the enrollment of samples that differed regarding medication status, the proper matching of OCD participants and HCs, age groups, and the presence of psychiatric comorbidities. In conclusion, an association between immune dysregulation and OCD remains unproven. Future studies should consider enrolling larger and more homogeneous samples with OCD.
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Rowland T, Perry BI, Upthegrove R, Barnes N, Chatterjee J, Gallacher D, Marwaha S. Neurotrophins, cytokines, oxidative stress mediators and mood state in bipolar disorder: systematic review and meta-analyses. Br J Psychiatry 2018; 213:514-525. [PMID: 30113291 PMCID: PMC6429261 DOI: 10.1192/bjp.2018.144] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND A reliable biomarker signature for bipolar disorder sensitive to illness phase would be of considerable clinical benefit. Among circulating blood-derived markers there has been a significant amount of research into inflammatory markers, neurotrophins and oxidative stress markers.AimsTo synthesise and interpret existing evidence of inflammatory markers, neurotrophins and oxidative stress markers in bipolar disorder focusing on the mood phase of illness. METHOD Following PRISMA (Preferred Reporting Items for Systematic reviews and Meta-analyses) guidelines, a systematic review was conducted for studies investigating peripheral biomarkers in bipolar disorder compared with healthy controls. We searched Medline, Embase, PsycINFO, SciELO and Web of Science, and separated studies by bipolar mood phase (mania, depression and euthymia). Extracted data on each biomarker in separate mood phases were synthesised using random-effects model meta-analyses. RESULTS In total, 53 studies were included, comprising 2467 cases and 2360 controls. Fourteen biomarkers were identified from meta-analyses of three or more studies. No biomarker differentiated mood phase in bipolar disorder individually. Biomarker meta-analyses suggest a combination of high-sensitivity C-reactive protein/interleukin-6, brain derived neurotrophic factor/tumour necrosis factor (TNF)-α and soluble TNF-α receptor 1 can differentiate specific mood phase in bipolar disorder. Several other biomarkers of interest were identified. CONCLUSIONS Combining biomarker results could differentiate individuals with bipolar disorder from healthy controls and indicate a specific mood-phase signature. Future research should seek to test these combinations of biomarkers in longitudinal studies.Declaration of interestNone.
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Affiliation(s)
- Tobias Rowland
- IHR Academic Clinical Fellow in Psychiatry, Mental Health and Wellbeing, Warwick Medical School, University of Warwick, UK
| | - Benjamin I. Perry
- NIHR Academic Clinical Fellow in Psychiatry, Mental Health and Wellbeing, Warwick Medical School, University of Warwick, UK
| | - Rachel Upthegrove
- Senior Clinical Lecturer in Psychiatry, Institute of Clinical Sciences, School of Clinical and Experimental Medicine, University of Birmingham, UK
| | - Nicholas Barnes
- Professor of Neuropharmacology, Institute of Clinical Sciences, School of Clinical and Experimental Medicine, University of Birmingham, UK
| | - Jayanta Chatterjee
- Consultant Psychiatrist, Affective Disorders Service, Caludon Centre, Coventry, UK
| | - Daniel Gallacher
- Research Associate in Medical Statistics, WMS Population, Evidence and Technologies, Warwick Medical School, University of Warwick, UK
| | - Steven Marwaha
- Reader in Psychiatry, Mental Health and Wellbeing, Warwick Medical School, University of Warwick,UK,Correspondence: Steven Marwaha, Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK.
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28
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Pereira LP, Köhler CA, Stubbs B, Miskowiak KW, Morris G, de Freitas BP, Thompson T, Fernandes BS, Brunoni AR, Maes M, Pizzagalli DA, Carvalho AF. Imaging genetics paradigms in depression research: Systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2018; 86:102-113. [PMID: 29778546 PMCID: PMC6240165 DOI: 10.1016/j.pnpbp.2018.05.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 05/15/2018] [Accepted: 05/16/2018] [Indexed: 12/29/2022]
Abstract
Imaging genetics studies involving participants with major depressive disorder (MDD) have expanded. Nevertheless, findings have been inconsistent. Thus, we conducted a systematic review and meta-analysis of imaging genetics studies that enrolled MDD participants across major databases through June 30th, 2017. Sixty-five studies met eligibility criteria (N = 4034 MDD participants and 3293 controls), and there was substantial between-study variability in the methodological quality of included studies. However, few replicated findings emerged from this literature with only 22 studies providing data for meta-analyses (882 participants with MDD and 616 controls). Total hippocampal volumes did not significantly vary in MDD participants or controls carrying either the BDNF Val66Met 'Met' (386 participants with MDD and 376 controls) or the 5-HTTLPR short 'S' (310 participants with MDD and 230 controls) risk alleles compared to non-carriers. Heterogeneity across studies was explored through meta-regression and subgroup analyses. Gender distribution, the use of medications, segmentation methods used to measure the hippocampus, and age emerged as potential sources of heterogeneity across studies that assessed the association of 5-HTTLPR short 'S' alleles and hippocampal volumes. Our data also suggest that the methodological quality of included studies, publication year, and the inclusion of brain volume as a covariate contributed to the heterogeneity of studies that assessed the association of the BDNF Val66Met 'Met' risk allele and hippocampal volumes. In exploratory voxel-wise meta-analyses, MDD participants carrying the 5-HTTLPR short 'S' allele had white matter microstructural abnormalities predominantly in the corpus callosum, while carriers of the BDNF Val66Met 'Met' allele had larger gray matter volumes and hyperactivation of the right middle frontal gyrus compared to non-carriers. In conclusion, few replicated findings emerged from imaging genetics studies that included participants with MDD. Nevertheless, we explored and identified specific sources of heterogeneity across studies, which could provide insights to enhance the reproducibility of this emerging field.
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Affiliation(s)
- Lícia P Pereira
- Department of Clinical Medicine, Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil; Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada
| | - Cristiano A Köhler
- Department of Clinical Medicine, Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Brendon Stubbs
- Institute for Clinical Research and Education in Medicine (IREM), Padova, Italy; South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, United Kingdom; Psychology and Neuroscience (IoPPN), King's College London, Institute of Psychiatry,De Crespigny Park, London SE5 8 AF, United Kingdom; Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford CM1 1SQ, United Kingdom
| | - Kamilla W Miskowiak
- Copenhagen Affective Disorders Research Centre, Copenhagen Psychiatric Centre, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Gerwyn Morris
- IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia
| | - Bárbara P de Freitas
- Department of Clinical Medicine, Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Trevor Thompson
- Faculty of Education and Health, University of Greenwich, London, United Kingdom
| | - Brisa S Fernandes
- IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia; Department of Biochemistry, Laboratory of Calcium Binding Proteins in the Central Nervous System, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - André R Brunoni
- Department and Institute of Psychiatry, Service of Interdisciplinary Neuromodulation, Laboratory of Neurosciences (LIM-27), Interdisciplinary Center for Applied Neuromodulation University Hospital, University of São Paulo, São Paulo, Brazil
| | - Michael Maes
- IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Diego A Pizzagalli
- Department of Psychiatry, Harvard Medical School, Belmont, MA 02478, USA; McLean Hospital, Belmont, MA 02478, USA
| | - André F Carvalho
- McLean Hospital, Belmont, MA 02478, USA; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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29
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Scott J, Etain B, Bellivier F. Can an Integrated Science Approach to Precision Medicine Research Improve Lithium Treatment in Bipolar Disorders? Front Psychiatry 2018; 9:360. [PMID: 30186186 PMCID: PMC6110814 DOI: 10.3389/fpsyt.2018.00360] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 07/19/2018] [Indexed: 12/20/2022] Open
Abstract
Clinical practice guidelines identify lithium as a first line treatment for mood stabilization and reduction of suicidality in bipolar disorders (BD); however, most individuals show sub-optimal response. Identifying biomarkers for lithium response could enable personalization of treatment and refine criteria for stratification of BD cases into treatment-relevant subgroups. Existing systematic reviews identify potential biomarkers of lithium response, but none directly address the conceptual issues that need to be addressed to enhance translation of research into precision prescribing of lithium. For example, although clinical syndrome subtyping of BD has not led to customized individual treatments, we emphasize the importance of assessing clinical response phenotypes in biomarker research. Also, we highlight the need to give greater consideration to the quality of prospective longitudinal monitoring of illness activity and the differentiation of non-response from partial or non-adherence with medication. It is unlikely that there is a single biomarker for lithium response or tolerability, so this review argues that more research should be directed toward the exploration of biosignatures. Importantly, we emphasize that an integrative science approach may improve the likelihood of discovering the optimal combination of clinical factors and multimodal biomarkers (e.g., blood omics, neuroimaging, and actigraphy derived-markers). This strategy could uncover a valid lithium response phenotype and facilitate development of a composite prediction algorithm. Lastly, this narrative review discusses how these strategies could improve eligibility criteria for lithium treatment in BD, and highlights barriers to translation to clinical practice including the often-overlooked issue of the cost-effectiveness of introducing biomarker tests in psychiatry.
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Affiliation(s)
- Jan Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Faculté de Médecine, Université Paris Diderot, Paris, France
| | - Bruno Etain
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Faculté de Médecine, Université Paris Diderot, Paris, France
- AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Paris, France
- INSERM, Unité UMR-S 1144, Variabilité de Réponse aux Psychotropes, Université Paris Descartes-Paris Diderot, Paris, France
- AP-HP, Groupe Henri Mondor-Albert Chenevier, Pôle de Psychiatrie, Créteil, France
- INSERM, Unité 955, IMRB, Equipe de Psychiatrie Translationnelle, Créteil, France
| | - Frank Bellivier
- Faculté de Médecine, Université Paris Diderot, Paris, France
- AP-HP, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Paris, France
- INSERM, Unité UMR-S 1144, Variabilité de Réponse aux Psychotropes, Université Paris Descartes-Paris Diderot, Paris, France
- AP-HP, Groupe Henri Mondor-Albert Chenevier, Pôle de Psychiatrie, Créteil, France
- INSERM, Unité 955, IMRB, Equipe de Psychiatrie Translationnelle, Créteil, France
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Köhler CA, Evangelou E, Stubbs B, Solmi M, Veronese N, Belbasis L, Bortolato B, Melo MCA, Coelho CA, Fernandes BS, Olfson M, Ioannidis JPA, Carvalho AF. Mapping risk factors for depression across the lifespan: An umbrella review of evidence from meta-analyses and Mendelian randomization studies. J Psychiatr Res 2018; 103:189-207. [PMID: 29886003 DOI: 10.1016/j.jpsychires.2018.05.020] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 05/20/2018] [Accepted: 05/24/2018] [Indexed: 01/08/2023]
Abstract
The development of depression may involve a complex interplay of environmental and genetic risk factors. PubMed and PsycInfo databases were searched from inception through August 3, 2017, to identify meta-analyses and Mendelian randomization (MR) studies of environmental risk factors associated with depression. For each eligible meta-analysis, we estimated the summary effect size and its 95% confidence interval (CI) by random-effects modeling, the 95% prediction interval, heterogeneity with I2, and evidence of small-study effects and excess significance bias. Seventy meta-analytic reviews met the eligibility criteria and provided 134 meta-analyses for associations from 1283 primary studies. While 109 associations were nominally significant (P < 0.05), only 8 met the criteria for convincing evidence and, when limited to prospective studies, convincing evidence was found in 6 (widowhood, physical abuse during childhood, obesity, having 4-5 metabolic risk factors, sexual dysfunction, job strain). In studies in which depression was assessed through a structured diagnostic interview, only associations with widowhood, job strain, and being a Gulf War veteran were supported by convincing evidence. Additionally, 8 MR studies were included and provided no consistent evidence for the causal effects of obesity, smoking, and alcohol consumption. The proportion of variance explained by genetic risk factors was extremely small (0.1-0.4%), which limited the evidence provided by the MR studies. Our findings suggest that despite the large number of putative risk factors investigated in the literature, few associations were supported by robust evidence. The current findings may have clinical and research implications for the early identification of individuals at risk for depression.
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Affiliation(s)
- Cristiano A Köhler
- Translational Psychiatry Research Group and Department of Clinical Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, United Kingdom; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, United Kingdom; Faculty of Health, Social Care and Education, Anglia Ruskin University, Bishop Hall Lane, Chelmsford CM1 1SQ, United Kingdom; Institute for Clinical Research and Education in Medicine (IREM), Padova, Italy
| | - Marco Solmi
- Institute for Clinical Research and Education in Medicine (IREM), Padova, Italy; Department of Neuroscience, University of Padova, Padova, Italy
| | - Nicola Veronese
- Institute for Clinical Research and Education in Medicine (IREM), Padova, Italy; National Research Council, Neuroscience Institute, Aging Branch, Padova. Italy
| | - Lazaros Belbasis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Beatrice Bortolato
- Institute for Clinical Research and Education in Medicine (IREM), Padova, Italy
| | - Matias C A Melo
- Translational Psychiatry Research Group and Department of Clinical Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Camila A Coelho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Brisa S Fernandes
- IMPACT Strategic Research Centre, Deakin University School of Medicine, and Barwon Health, Geelong, VIC, Australia; Laboratory of Calcium Binding Proteins in the Central Nervous System, Department of Biochemistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Mark Olfson
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University, New York, NY, USA
| | - John P A Ioannidis
- Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Palo Alto, California, CA 94305, USA
| | - André F Carvalho
- Institute for Clinical Research and Education in Medicine (IREM), Padova, Italy; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Center for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
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Davies C, Cipriani A, Ioannidis JPA, Radua J, Stahl D, Provenzani U, McGuire P, Fusar-Poli P. Lack of evidence to favor specific preventive interventions in psychosis: a network meta-analysis. World Psychiatry 2018; 17:196-209. [PMID: 29856551 PMCID: PMC5980552 DOI: 10.1002/wps.20526] [Citation(s) in RCA: 155] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Preventing psychosis in patients at clinical high risk may be a promising avenue for pre-emptively ameliorating outcomes of the most severe psychiatric disorder. However, information on how each preventive intervention fares against other currently available treatment options remains unavailable. The aim of the current study was to quantify the consistency and magnitude of effects of specific preventive interventions for psychosis, comparing different treatments in a network meta-analysis. PsycINFO, Web of Science, Cochrane Central Register of Controlled Trials, and unpublished/grey literature were searched up to July 18, 2017, to identify randomized controlled trials conducted in individuals at clinical high risk for psychosis, comparing different types of intervention and reporting transition to psychosis. Two reviewers independently extracted data. Data were synthesized using network meta-analyses. The primary outcome was transition to psychosis at different time points and the secondary outcome was treatment acceptability (dropout due to any cause). Effect sizes were reported as odds ratios and 95% confidence intervals (CIs). Sixteen studies (2,035 patients, 57% male, mean age 20.1 years) reported on risk of transition. The treatments tested were needs-based interventions (NBI); omega-3 + NBI; ziprasidone + NBI; olanzapine + NBI; aripiprazole + NBI; integrated psychological interventions; family therapy + NBI; D-serine + NBI; cognitive behavioural therapy, French & Morrison protocol (CBT-F) + NBI; CBT-F + risperidone + NBI; and cognitive behavioural therapy, van der Gaag protocol (CBT-V) + CBT-F + NBI. The network meta-analysis showed no evidence of significantly superior efficacy of any one intervention over the others at 6 and 12 months (insufficient data were available after 12 months). Similarly, there was no evidence for intervention differences in acceptability at either time point. Tests for inconsistency were non-significant and sensitivity analyses controlling for different clustering of interventions and biases did not materially affect the interpretation of the results. In summary, this study indicates that, to date, there is no evidence that any specific intervention is particularly effective over the others in preventing transition to psychosis. Further experimental research is needed.
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Affiliation(s)
- Cathy Davies
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, and Oxford Health NHS Foundation Trust, Oxford, UK
| | - John P A Ioannidis
- Department of Medicine, Stanford Prevention Research Center, Stanford, CA, USA
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Meta-Research Innovation Center at Stanford, Stanford University, Stanford, CA, USA
- Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA
| | - Joaquim Radua
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- FIDMAG Germanes Hospitalàries, CIBERSAM, Sant Boi de Llobregat, Spain
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Stahl
- Biostatistics Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Umberto Provenzani
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, London, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
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32
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Hidalgo-Mazzei D, Young AH, Vieta E, Colom F. Behavioural biomarkers and mobile mental health: a new paradigm. Int J Bipolar Disord 2018; 6:9. [PMID: 29730832 PMCID: PMC6161977 DOI: 10.1186/s40345-018-0119-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 01/23/2018] [Indexed: 01/15/2023] Open
Abstract
Over recent decades, the field of psychiatry has allocated a vast amount of resources and efforts to make available more accurate and objective methods to diagnose, assess and monitor treatment outcomes in psychiatric disorders. Despite the optimism and some significant progress in biological markers, it has become increasingly evident that they are failing to meet initial expectations due to their lack of specificity, inconsistent reliability and limited availability. On the other hand, there is an increasingly emerging evidence of mobile technologies' feasibility to measure mental illness activity. Moreover, taking into account its widespread use, availability and potential to capture behavioural markers, mobile-connected technologies could be strong candidates to fill and complement-at least at some degree-the gaps that biological markers couldn't. This represents an especially interesting opportunity to reform our current diagnostic system using a bottom-up research methodology based on digital and biological markers data instead of the classical traditional top-down approach. Therefore, the field might benefit of further exploring this promising -and increasingly evidence-based- pathway as well as other auspicious alternatives in order to attain a more holistic and integrative approach in research, which could ultimately impact real-world clinical practice.
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Affiliation(s)
- Diego Hidalgo-Mazzei
- Bipolar Disorder Program, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Villaroel 170, 08036, Barcelona, Catalonia, Spain.,Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Allan H Young
- Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Eduard Vieta
- Bipolar Disorder Program, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Villaroel 170, 08036, Barcelona, Catalonia, Spain.
| | - Francesc Colom
- Mental Health Group, IMIM-Hospital del Mar, Dr. Aiguader 88, 08003, Barcelona, Catalonia, Spain
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Belbasis L, Köhler CA, Stefanis N, Stubbs B, van Os J, Vieta E, Seeman MV, Arango C, Carvalho AF, Evangelou E. Risk factors and peripheral biomarkers for schizophrenia spectrum disorders: an umbrella review of meta-analyses. Acta Psychiatr Scand 2018; 137:88-97. [PMID: 29288491 DOI: 10.1111/acps.12847] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/04/2017] [Indexed: 12/15/2022]
Abstract
OBJECTIVE This study aimed to systematically appraise the meta-analyses of observational studies on risk factors and peripheral biomarkers for schizophrenia spectrum disorders. METHODS We conducted an umbrella review to capture all meta-analyses and Mendelian randomization studies that examined associations between non-genetic risk factors and schizophrenia spectrum disorders. For each eligible meta-analysis, we estimated the summary effect size estimate, its 95% confidence and prediction intervals and the I2 metric. Additionally, evidence for small-study effects and excess significance bias was assessed. RESULTS Overall, we found 41 eligible papers including 98 associations. Sixty-two associations had a nominally significant (P-value <0.05) effect. Seventy-two of the associations exhibited large or very large between-study heterogeneity, while 13 associations had evidence for small-study effects. Excess significance bias was found in 18 associations. Only five factors (childhood adversities, cannabis use, history of obstetric complications, stressful events during adulthood, and serum folate level) showed robust evidence. CONCLUSION Despite identifying 98 associations, there is only robust evidence to suggest that cannabis use, exposure to stressful events during childhood and adulthood, history of obstetric complications, and low serum folate level confer a higher risk for developing schizophrenia spectrum disorders. The evidence on peripheral biomarkers for schizophrenia spectrum disorders remains limited.
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Affiliation(s)
- L Belbasis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - C A Köhler
- Translational Psychiatry Research Group, Department of Clinical Medicine, Federal University of Ceará Medical School, Fortaleza, Brazil
| | - N Stefanis
- Department of Psychiatry, Eginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - B Stubbs
- Department of Physiotherapy, South London and Maudsley NHS Foundation Trust, London, UK.,Department of Health Service and Population Research, Institute of Psychiatry, King's College London, London, UK
| | - J van Os
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands.,Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - E Vieta
- Bipolar Disorder Unit, Institute of Neuroscience, University of Barcelona, IDIBAPS and CIBERSAM, Barcelona, Spain
| | - M V Seeman
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - C Arango
- Department of Child and Adolescent Psychiatry, University Hospital Gregorio Marañón, Complutense University of Madrid Medical School, CIBERSAM, Madrid, Spain
| | - A F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Centre for Addiction & Mental Health (CAMH), Toronto, ON, Canada
| | - E Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Radua J, Ramella-Cravaro V, Ioannidis JPA, Reichenberg A, Phiphopthatsanee N, Amir T, Yenn Thoo H, Oliver D, Davies C, Morgan C, McGuire P, Murray RM, Fusar-Poli P. What causes psychosis? An umbrella review of risk and protective factors. World Psychiatry 2018; 17:49-66. [PMID: 29352556 PMCID: PMC5775150 DOI: 10.1002/wps.20490] [Citation(s) in RCA: 334] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Psychosis is a heterogeneous psychiatric condition for which a multitude of risk and protective factors have been suggested. This umbrella review aimed to classify the strength of evidence for the associations between each factor and psychotic disorders whilst controlling for several biases. The Web of Knowledge database was searched to identify systematic reviews and meta-analyses of observational studies which examined associations between socio-demographic, parental, perinatal, later factors or antecedents and psychotic disorders, and which included a comparison group of healthy controls, published from 1965 to January 31, 2017. The literature search and data extraction followed PRISMA and MOOSE guidelines. The association between each factor and ICD or DSM diagnoses of non-organic psychotic disorders was graded into convincing, highly suggestive, suggestive, weak, or non-significant according to a standardized classification based on: number of psychotic cases, random-effects p value, largest study 95% confidence interval, heterogeneity between studies, 95% prediction interval, small study effect, and excess significance bias. In order to assess evidence for temporality of association, we also conducted sensitivity analyses restricted to data from prospective studies. Fifty-five meta-analyses or systematic reviews were included in the umbrella review, corresponding to 683 individual studies and 170 putative risk or protective factors for psychotic disorders. Only the ultra-high-risk state for psychosis (odds ratio, OR=9.32, 95% CI: 4.91-17.72) and Black-Caribbean ethnicity in England (OR=4.87, 95% CI: 3.96-6.00) showed convincing evidence of association. Six factors were highly suggestive (ethnic minority in low ethnic density area, second generation immigrants, trait anhedonia, premorbid IQ, minor physical anomalies, and olfactory identification ability), and nine were suggestive (urbanicity, ethnic minority in high ethnic density area, first generation immigrants, North-African immigrants in Europe, winter/spring season of birth in Northern hemisphere, childhood social withdrawal, childhood trauma, Toxoplasma gondii IgG, and non-right handedness). When only prospective studies were considered, the evidence was convincing for ultra-high-risk state and suggestive for urbanicity only. In summary, this umbrella review found several factors to be associated with psychotic disorders with different levels of evidence. These risk or protective factors represent a starting point for further etiopathological research and for the improvement of the prediction of psychosis.
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Affiliation(s)
- Joaquim Radua
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- FIDMAG Germanes Hospitalàries, CIBERSAM, Sant Boi de Llobregat, Spain
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Valentina Ramella-Cravaro
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - John P A Ioannidis
- Department of Medicine, Stanford Prevention Research Center, Stanford, CA, USA
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA, USA
- Meta-Research Innovation Center at Stanford, Stanford University, Stanford, CA, USA
- Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA, USA
| | - Abraham Reichenberg
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Frieman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nacharin Phiphopthatsanee
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Taha Amir
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Hyi Yenn Thoo
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Dominic Oliver
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Cathy Davies
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Craig Morgan
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Center, London, UK
| | - Philip McGuire
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Center, London, UK
| | - Robin M Murray
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Center, London, UK
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions & Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Center, London, UK
- OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK
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35
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Brownstein DJ, Salagre E, Köhler C, Stubbs B, Vian J, Pereira C, Chavarria V, Karmakar C, Turner A, Quevedo J, Carvalho AF, Berk M, Fernandes BS. Blockade of the angiotensin system improves mental health domain of quality of life: A meta-analysis of randomized clinical trials. Aust N Z J Psychiatry 2018; 52:24-38. [PMID: 28754072 DOI: 10.1177/0004867417721654] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE It is unclear whether blockade of the angiotensin system has effects on mental health. Our objective was to determine the impact of angiotensin converting enzyme inhibitors and angiotensin II type 1 receptor (AT1R) blockers on mental health domain of quality of life. STUDY DESIGN Meta-analysis of published literature. DATA SOURCES PubMed and clinicaltrials.gov databases. The last search was conducted in January 2017. STUDY SELECTION Randomized controlled trials comparing any angiotensin converting enzyme inhibitor or AT1R blocker versus placebo or non-angiotensin converting enzyme inhibitor or non-AT1R blocker were selected. Study participants were adults without any major physical symptoms. We adhered to meta-analysis reporting methods as per PRISMA and the Cochrane Collaboration. DATA SYNTHESIS Eleven studies were included in the analysis. When compared with placebo or other antihypertensive medications, AT1R blockers and angiotensin converting enzyme inhibitors were associated with improved overall quality of life (standard mean difference = 0.11, 95% confidence interval = [0.08, 0.14], p < 0.0001), positive wellbeing (standard mean difference = 0.11, 95% confidence interval = [0.05, 0.17], p < 0.0001), mental (standard mean difference = 0.15, 95% confidence interval = [0.06, 0.25], p < 0.0001), and anxiety (standard mean difference = 0.08, 95% confidence interval = [0.01, 0.16], p < 0.0001) domains of QoL. No significant difference was found for the depression domain (standard mean difference = 0.05, 95% confidence interval = [0.02, 0.12], p = 0.15). CONCLUSIONS Use of angiotensin blockers and inhibitors for the treatment of hypertension in otherwise healthy adults is associated with improved mental health domains of quality of life. Mental health quality of life was a secondary outcome in the included studies. Research specifically designed to analyse the usefulness of drugs that block the angiotensin system is necessary to properly evaluate this novel psychiatric target.
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Affiliation(s)
- Daniel J Brownstein
- 1 Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Estela Salagre
- 2 Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Cristiano Köhler
- 3 Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, Brazil
| | - Brendon Stubbs
- 4 Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford, UK.,5 Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK.,6 Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK
| | - João Vian
- 7 Psychiatry and Mental Health Department, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.,8 Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| | - Ciria Pereira
- 7 Psychiatry and Mental Health Department, Centro Hospitalar Lisboa Norte, Lisbon, Portugal.,8 Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| | - Victor Chavarria
- 9 Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar (PSM), Barcelona, Spain
| | - Chandan Karmakar
- 10 Center for Pattern Recognition and Data Analytics, School of Information Technology, Deakin University, Geelong, VIC, Australia
| | - Alyna Turner
- 11 IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, VIC, Australia.,12 Barwon Health, Geelong, VIC, Australia
| | - João Quevedo
- 13 Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,14 Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,15 Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth, Houston, TX, USA.,16 Laboratory of Neurosciences, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - André F Carvalho
- 3 Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, Brazil
| | - Michael Berk
- 11 IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, VIC, Australia.,12 Barwon Health, Geelong, VIC, Australia.,17 Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia.,18 Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia.,19 The Florey Institute for Neuroscience Mental Health, Parkville, VIC, Australia
| | - Brisa S Fernandes
- 11 IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, VIC, Australia.,12 Barwon Health, Geelong, VIC, Australia.,20 Laboratory of Calcium Binding Proteins in the Central Nervous System, Department of Biochemistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
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36
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Kara NZ, Stukalin Y, Einat H. Revisiting the validity of the mouse forced swim test: Systematic review and meta-analysis of the effects of prototypic antidepressants. Neurosci Biobehav Rev 2017; 84:1-11. [PMID: 29128579 DOI: 10.1016/j.neubiorev.2017.11.003] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 11/01/2017] [Accepted: 11/01/2017] [Indexed: 01/03/2023]
Abstract
One problem area regarding animal models for affective disorders is unclear reproducibility, including external validity or generalizability. One way to evaluate external validity is with systematic reviews and meta-analyses. The current study presents a meta-analysis of the effects of prototypic antidepressants in the mouse forced swim test (FST). We identified studies that examined effects of antidepressants in the FST in mice and used standard protocol, male mice and acute drug administration. We calculated Effect sizes using Cohen's d, homogeneity using Q statistic and correlations using Pearson's correlation. Results indicate that all drugs reduce immobility in the FST. However, effect sizes for most drugs are heterogeneous and do not show a consistent dose/response relationship across variability factors. Reducing variability by examining only one strain or data from individual laboratories partially increases dose response relationship. These findings suggest that whereas the FST is a valid tool to qualitatively screen antidepressant effects its validity in the context of hierarchical comparison between doses or compounds might be relevant only to single experiments.
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Affiliation(s)
- N Z Kara
- School of Behavioral Sciences, Tel Aviv-Yaffo Academic College, Israel; Department of Clinical Biochemistry and Pharmacology, Ben-Gurion University of the Negev, Israel
| | - Y Stukalin
- School of Behavioral Sciences, Tel Aviv-Yaffo Academic College, Israel
| | - H Einat
- School of Behavioral Sciences, Tel Aviv-Yaffo Academic College, Israel; Department of Clinical Biochemistry and Pharmacology, Ben-Gurion University of the Negev, Israel; College of Pharmacy, University of Minnesota, United States.
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37
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Fries GR, Colpo GD, Monroy-Jaramillo N, Zhao J, Zhao Z, Arnold JG, Bowden CL, Walss-Bass C. Distinct lithium-induced gene expression effects in lymphoblastoid cell lines from patients with bipolar disorder. Eur Neuropsychopharmacol 2017; 27:1110-1119. [PMID: 28939162 PMCID: PMC5685885 DOI: 10.1016/j.euroneuro.2017.09.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 08/08/2017] [Accepted: 09/07/2017] [Indexed: 12/12/2022]
Abstract
Lithium is the most commonly prescribed medication for the treatment of bipolar disorder (BD), yet the mechanisms underlying its beneficial effects are still unclear. We aimed to compare the effects of lithium treatment in lymphoblastoid cell lines (LCLs) from BD patients and controls. LCLs were generated from sixty-two BD patients (based on DSM-IV) and seventeen healthy controls matched for age, sex, and ethnicity. Patients were recruited from outpatient clinics from February 2012 to October 2014. LCLs were treated with 1mM lithium for 7 days followed by microarray gene expression assay and validation by real-time quantitative PCR. Baseline differences between groups, as well as differences between vehicle- and lithium-treated cells within each group were analyzed. The biological significance of differentially expressed genes was examined by pathway enrichment analysis. No significant differences in baseline gene expression (adjusted p-value < 0.05) were detected between groups. Lithium treatment of LCLs from controls did not lead to any significant differences. However, lithium altered the expression of 236 genes in LCLs from patients; those genes were enriched for signaling pathways related to apoptosis. Among those genes, the alterations in the expression of PIK3CG, SERP1 and UPP1 were validated by real-time PCR. A significant correlation was also found between circadian functioning and CEBPG and FGF2 expression levels. In summary, our results suggest that lithium treatment induces expression changes in genes associated with the apoptosis pathway in BD LCLs. The more pronounced effects of lithium in patients compared to controls suggest a disease-specific effect of this drug.
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Affiliation(s)
- Gabriel R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States
| | - Gabriela D Colpo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States
| | - Nancy Monroy-Jaramillo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States; Department of Genetics, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Insurgentes Sur 3877 Col. La Fama, Tlalpan, C.P. 14269 Mexico City, Mexico
| | - Junfei Zhao
- Bioinformatics and Systems Medicine Laboratory (BSML), Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX 77030, United States
| | - Zhongming Zhao
- Bioinformatics and Systems Medicine Laboratory (BSML), Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX 77030, United States; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, United States
| | - Jodi G Arnold
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, United States
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, United States.
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38
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Barbuti M, Carvalho AF, Köhler CA, Murru A, Verdolini N, Guiso G, Samalin L, Maes M, Stubbs B, Perugi G, Vieta E, Pacchiarotti I. Thyroid autoimmunity in bipolar disorder: A systematic review. J Affect Disord 2017. [PMID: 28641149 DOI: 10.1016/j.jad.2017.06.019] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Accumulating evidence points to the pathophysiological relevance between immune dysfunction and mood disorders. High rates of thyroid dysfunction have been found in patients with bipolar disorder (BD), compared to the general population. A systematic review of the relationship between BD and thyroid autoimmunity was performed. METHODS Pubmed, EMBASE and PsycINFO databases were searched up till January 28th, 2017. This review has been conducted according to the PRISMA statements. Observational studies clearly reporting data among BD patients and the frequency of autoimmune thyroid pathologies were included. RESULTS 11 original studies met inclusion criteria out of 340 titles first returned from the global search. There is evidence of increased prevalence of circulating thyroid autoantibodies in depressed and mixed BD patients, while there is no evidence showing a positive relationship between BD and specific autoimmune thyroid diseases. There is a controversy about the influence of lithium exposure on circulating thyroid autoantibodies, even if most of studies seem not to support this association. A study conducted on bipolar twins suggests that autoimmune thyroiditis is related to the genetic vulnerability to develop BD rather than to the disease process itself. Females are more likely to develop thyroid autoimmunity. LIMITATIONS The samples, study design and outcomes were heterogeneous. CONCLUSION Thyroid autoimmunity has been suggested to be an independent risk factor for bipolar disorder with no clear association with lithium exposure and it might serve as an endophenotype for BD.
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Affiliation(s)
- Margherita Barbuti
- Bipolar Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Catalonia, Spain; University of Pisa, Pisa, Italy
| | - André F Carvalho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceara, Fortaleza, CE, Brazil
| | - Cristiano A Köhler
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceara, Fortaleza, CE, Brazil
| | - Andrea Murru
- Bipolar Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Catalonia, Spain
| | - Norma Verdolini
- Bipolar Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Catalonia, Spain; Division of Psychiatry, Clinical Psychology and Rehabilitation, Department of Medicine, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy
| | - Giovanni Guiso
- Bipolar Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Catalonia, Spain
| | - Ludovic Samalin
- CHU Clermont-Ferrand, Department of Psychiatry, EA 7280, University of Auvergne, Clermont-Ferrand, France
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; IMPACT Strategic Research Center, School of Medicine, Barwon Health, Deakin University, Geelong, Australia; Health Sciences Postgraduate Program, Health Sciences Center, State University of Londrina, Londrina, Brazil; Revitalis, Waalre, The Netherlands; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, United Kingdom; Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Box SE5 8AF, London, United Kingdom
| | | | - Eduard Vieta
- Bipolar Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Catalonia, Spain.
| | - Isabella Pacchiarotti
- Bipolar Disorders Unit, Clinical Institute of Neurosciences, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Catalonia, Spain
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39
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On the transdiagnostic nature of peripheral biomarkers in major psychiatric disorders: A systematic review. Neurosci Biobehav Rev 2017; 83:97-108. [PMID: 28986182 DOI: 10.1016/j.neubiorev.2017.10.001] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 08/31/2017] [Accepted: 10/01/2017] [Indexed: 12/20/2022]
Abstract
The search for biomarkers has been a leading endeavor in biological psychiatry. To analyze its evolution over the years, we performed a systematic review to evaluate (a) the most studied peripheral molecular markers in major psychiatric disorders, (b) the main features of studies proposing them as biomarkers and (c) whether their patterns of variation are similar across disorders. Of the six molecules most commonly studied as plasmatic markers of schizophrenia, major depressive disorder or bipolar disorder, five (BDNF, TNF-alpha, IL-6, C-reactive protein and cortisol) were the same across diagnoses. An analysis of this literature showed that, while 66% of studies compared patients and controls, only 34% were longitudinal, and only 10% presented a measure of diagnostic or prognostic efficacy. Meta-analyses showed variation in the levels of these molecules to be robust across studies, but similar among disorders, suggesting them to reflect transdiagnostic systemic consequences of psychiatric illness. Based on this, we discuss how current publication practices have led to research fragmentation across diagnoses, and suggest approaches to face this issue.
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40
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Köhler CA, Freitas TH, Stubbs B, Maes M, Solmi M, Veronese N, de Andrade NQ, Morris G, Fernandes BS, Brunoni AR, Herrmann N, Raison CL, Miller BJ, Lanctôt KL, Carvalho AF. Peripheral Alterations in Cytokine and Chemokine Levels After Antidepressant Drug Treatment for Major Depressive Disorder: Systematic Review and Meta-Analysis. Mol Neurobiol 2017; 55:4195-4206. [PMID: 28612257 DOI: 10.1007/s12035-017-0632-1] [Citation(s) in RCA: 173] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 05/22/2017] [Indexed: 12/24/2022]
Abstract
Mounting evidence suggests that aberrations in immune-inflammatory pathways contribute to the pathophysiology of major depressive disorder (MDD), and individuals with MDD may have elevated levels of predominantly pro-inflammatory cytokines and C-reactive protein. In addition, previous meta-analyses suggest that antidepressant drug treatment may decrease peripheral levels of interleukin-1 beta (IL-1β) and IL-6. Recently, several new studies examining the effect of antidepressants on these cytokines have been published, and so we performed an updated meta-analysis of studies that measured peripheral levels of cytokines and chemokines during antidepressant treatment in patients with MDD. The PubMed/MEDLINE, EMBASE, and PsycInfo databases were searched from inception through March 9, 2017. Forty-five studies met inclusion criteria (N = 1517). Peripheral levels of IL-6, tumor necrosis factor-alpha (TNF-α), IL-1β, IL-10, IL-2, IL-4, interferon-γ, IL-8, the C-C motif ligand 2 chemokine (CCL-2), CCL-3, IL-1 receptor antagonist, IL-13, IL-17, IL-5, IL-7, and the soluble IL-2 receptor were measured in at least three datasets and thus were meta-analyzed. Antidepressant treatment significantly decreased peripheral levels of IL-6 (Hedges g = -0.454, P <0.001), TNF-α (g = -0.202, P = 0.015), IL-10 (g = -0.566, P = 0.012), and CCL-2 (g = -1.502, P = 0.006). These findings indicate that antidepressants decrease several markers of peripheral inflammation. However, this meta-analysis did not provide evidence that reductions in peripheral inflammation are associated with antidepressant treatment response although few studies provided separate data for treatment responders and non-responders.
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Affiliation(s)
- Cristiano A Köhler
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Fortaleza, CE, Brazil
| | - Thiago H Freitas
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Fortaleza, CE, Brazil
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley, NHS Foundation Trust, London, UK.,Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Michael Maes
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Australia.,Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Department of Psychiatry, Faculty of Medicine, State University of Londrina, Londrina, PR, Brazil.,Department of Psychiatry, Medical University Plovdiv, Plovdiv, Bulgaria.,Revitalis, Waalre, The Netherlands
| | - Marco Solmi
- Department of Neurosciences, University of Padova, Padova, Italy.,Institute of Clinical Research and Education in Medicine (IREM), Padua, Italy
| | - Nicola Veronese
- Institute of Clinical Research and Education in Medicine (IREM), Padua, Italy.,National Research Council, Neuroscience Institute, Aging Branch, Via Giustiniani 2, 35128, Padova, Italy
| | - Nayanna Q de Andrade
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Fortaleza, CE, Brazil
| | - Gerwyn Morris
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Australia
| | - Brisa S Fernandes
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Australia.,Laboratory of Calcium Binding Proteins in the Central Nervous System, Department of Biochemistry, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - André R Brunoni
- Center for Clinical and Epidemiological Research & Interdisciplinary Center for Applied Neuromodulation (CINA), University Hospital, University of São Paulo, São Paulo, Brazil.,Service of Interdisciplinary Neuromodulation (SIN), Department and Institute of Psychiatry, Faculty of Medicine of University of São Paulo, São Paulo, Brazil.,Laboratory of Neuroscience (LIM27), Department and Institute of Psychiatry, University of São Paulo, São Paulo, Brazil
| | - Nathan Herrmann
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program Sunnybrook Research Institute, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Charles L Raison
- Department of Human Development and Family Studies, School of Human Ecology, University of Wisconsin-Madison, 1300 Linden Drive, Room 4174, Madison, WI, 53705, USA.,Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Brian J Miller
- Department of Psychiatry & Health Behavior, Georgia Regents University, Augusta, GA, USA
| | - Krista L Lanctôt
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program Sunnybrook Research Institute, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - André F Carvalho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Fortaleza, CE, Brazil. .,Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Rua Prof. Costa Mendes, 1608, 4° andar, Fortaleza, CE, 60430-040, Brazil.
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41
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Köhler CA, Freitas TH, Maes M, de Andrade NQ, Liu CS, Fernandes BS, Stubbs B, Solmi M, Veronese N, Herrmann N, Raison CL, Miller BJ, Lanctôt KL, Carvalho AF. Peripheral cytokine and chemokine alterations in depression: a meta-analysis of 82 studies. Acta Psychiatr Scand 2017; 135:373-387. [PMID: 28122130 DOI: 10.1111/acps.12698] [Citation(s) in RCA: 851] [Impact Index Per Article: 121.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/29/2016] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To conduct a systematic review and meta-analysis of studies that measured cytokine and chemokine levels in individuals with major depressive disorder (MDD) compared to healthy controls (HCs). METHOD The PubMed/MEDLINE, EMBASE, and PsycINFO databases were searched up until May 30, 2016. Effect sizes were estimated with random-effects models. RESULT Eighty-two studies comprising 3212 participants with MDD and 2798 HCs met inclusion criteria. Peripheral levels of interleukin-6 (IL-6), tumor necrosis factor (TNF)-alpha, IL-10, the soluble IL-2 receptor, C-C chemokine ligand 2, IL-13, IL-18, IL-12, the IL-1 receptor antagonist, and the soluble TNF receptor 2 were elevated in patients with MDD compared to HCs, whereas interferon-gamma levels were lower in MDD (Hedge's g = -0.477, P = 0.043). Levels of IL-1β, IL-2, IL-4, IL-8, the soluble IL-6 receptor (sIL-6R), IL-5, CCL-3, IL-17, and transforming growth factor-beta 1 were not significantly altered in individuals with MDD compared to HCs. Heterogeneity was large (I2 : 51.6-97.7%), and sources of heterogeneity were explored (e.g., age, smoking status, and body mass index). CONCLUSION Our results further characterize a cytokine/chemokine profile associated with MDD. Future studies are warranted to further elucidate sources of heterogeneity, as well as biosignature cytokines secreted by other immune cells.
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Affiliation(s)
- C A Köhler
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - T H Freitas
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - M Maes
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Geelong, Australia.,Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Department of Psychiatry, Faculty of Medicine, State University of Londrina, Londrina, PR, Brazil.,Department of Psychiatry, Medical University Plovdiv, Plovdiv, Bulgaria.,Revitalis, Waalre, The Netherlands
| | - N Q de Andrade
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - C S Liu
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.,Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program Sunnybrook Research Institute, Toronto, ON, Canada
| | - B S Fernandes
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Geelong, Australia.,Laboratory of Calcium Binding Proteins in the Central Nervous System, Department of Biochemistry, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - B Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London, UK.,Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
| | - M Solmi
- Department of Neurosciences, University of Padova, Padova, Italy.,Institute of Clinical Research and Education in Medicine (IREM), Padova, Italy
| | - N Veronese
- Department of Neurosciences, University of Padova, Padova, Italy.,Department of Medicine, DIMED, Geriatrics Section, University of Padova, Padova, Italy
| | - N Herrmann
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program Sunnybrook Research Institute, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - C L Raison
- Department of Human Development and Family Studies, School of Human Ecology, University of Wisconsin-Madison, Madison, WI, USA.,Department of Psychiatry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - B J Miller
- Department of Psychiatry & Health Behavior, Augusta University, Augusta, GA, USA
| | - K L Lanctôt
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.,Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program Sunnybrook Research Institute, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - A F Carvalho
- Translational Psychiatry Research Group and Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
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Fernandes BS, Williams LM, Steiner J, Leboyer M, Carvalho AF, Berk M. The new field of 'precision psychiatry'. BMC Med 2017; 15:80. [PMID: 28403846 PMCID: PMC5390384 DOI: 10.1186/s12916-017-0849-x] [Citation(s) in RCA: 266] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 03/31/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Precision medicine is a new and important topic in psychiatry. Psychiatry has not yet benefited from the advanced diagnostic and therapeutic technologies that form an integral part of other clinical specialties. Thus, the vision of precision medicine as applied to psychiatry - 'precision psychiatry' - promises to be even more transformative than in other fields of medicine, which have already lessened the translational gap. DISCUSSION Herein, we describe 'precision psychiatry' and how its several implications promise to transform the psychiatric landscape. We pay particular attention to biomarkers and to how the development of new technologies now makes their discovery possible and timely. The adoption of the term 'precision psychiatry' will help propel the field, since the current term 'precision medicine', as applied to psychiatry, is impractical and does not appropriately distinguish the field. Naming the field 'precision psychiatry' will help establish a stronger, unique identity to what promises to be the most important area in psychiatry in years to come. CONCLUSION In summary, we provide a wide-angle lens overview of what this new field is, suggest how to propel the field forward, and provide a vision of the near future, with 'precision psychiatry' representing a paradigm shift that promises to change the landscape of how psychiatry is currently conceived.
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Affiliation(s)
- Brisa S Fernandes
- IMPACT Strategic Research Centre, School of Medicine, Faculty of Health, Deakin University, Waurn Ponds, VIC, 3216, Australia.
- Barwon Health University Hospital, Geelong, Australia.
- Laboratory of Calcium Binding Proteins in the Central Nervous System, Department of Biochemistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
| | - Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, USA
- MIRECC, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Johann Steiner
- Department of Psychiatry, University of Magdeburg, Magdeburg, Germany
| | - Marion Leboyer
- Department of Psychiatry, University Paris Est Créteil, AP-HP, INSERM U955, Translational Psychiatry, Fondation FondaMental, Créteil, France
| | - André F Carvalho
- Translational Psychiatry Research Group, Department of Clinical Medicine, Faculty of Medicine, Federal University of Ceará, Fortaleza, Brazil
| | - Michael Berk
- IMPACT Strategic Research Centre, School of Medicine, Faculty of Health, Deakin University, Waurn Ponds, VIC, 3216, Australia
- Barwon Health University Hospital, Geelong, Australia
- Florey Institute for Neuroscience and Mental Health, Department of Psychiatry, University of Melbourne, Melbourne, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, Australia
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Elias LR, Miskowiak KW, Vale AMO, Köhler CA, Kjærstad HL, Stubbs B, Kessing LV, Vieta E, Maes M, Goldstein BI, Carvalho AF. Cognitive Impairment in Euthymic Pediatric Bipolar Disorder: A Systematic Review and Meta-Analysis. J Am Acad Child Adolesc Psychiatry 2017; 56:286-296. [PMID: 28335872 DOI: 10.1016/j.jaac.2017.01.008] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Revised: 12/21/2016] [Accepted: 01/25/2017] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To perform a systematic review and meta-analysis of studies investigating neurocognition in euthymic youths with bipolar disorder (BD) compared to healthy controls (HCs). METHOD A systematic literature search was conducted in the PubMed/MEDLINE, PsycINFO, and EMBASE databases from inception up until March 23, 2016, for original peer-reviewed articles that investigated neurocognition in euthymic youths with BD compared to HCs. Effect sizes (ES) for individual tests were extracted. In addition, results were grouped according to cognitive domain. This review complied with the PRISMA statement guidelines. RESULTS A total of 24 studies met inclusion criteria (N = 1,146; 510 with BD). Overall, euthymic youths with BD were significantly impaired in verbal learning, verbal memory, working memory, visual learning, and visual memory, with moderate to large ESs (Hedge's g 0.76-0.99); significant impairments were not observed for attention/vigilance, reasoning and problem solving, and/or processing speed. Heterogeneity was moderate to large (I2 ≥ 50%) for most ES estimates. Differences in the definition of euthymia across studies explained the heterogeneity in the ES estimate for verbal learning and memory. We also found evidence for other potential sources of heterogeneity in several ES estimates including co-occurring attention-deficit/hyperactivity disorder (ADHD) and anxiety disorders, and the use of medications. In addition, the use of different neuropsychological tests appeared to contribute to heterogeneity of some estimates (e.g., attention/vigilance domain). CONCLUSION Euthymic youths with BD exhibit significant cognitive dysfunction encompassing verbal learning and memory, working memory, and/or visual learning and memory domains. These data indicate that for a subset of individuals with BD, neurodevelopmental factors may contribute to cognitive dysfunction.
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Affiliation(s)
- Liana R Elias
- Translational Psychiatry Research Group Federal University of Ceará, Fortaleza, CE, Brazil
| | - Kamilla W Miskowiak
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Antônio M O Vale
- Translational Psychiatry Research Group Federal University of Ceará, Fortaleza, CE, Brazil
| | - Cristiano A Köhler
- Translational Psychiatry Research Group Federal University of Ceará, Fortaleza, CE, Brazil
| | - Hanne L Kjærstad
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Brendon Stubbs
- Health Service and Population Research Department, Institute of Psychiatry, King's College London, UK, and South London and Maudsley National Health Service Foundation Trust, Denmark Hill, London
| | - Lars V Kessing
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Eduard Vieta
- Bipolar Disorder Program, Institute of Neuroscience, Hospital Clinic, University of Barcelona, Institut d'investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro para la Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Michael Maes
- Chulalongkorn University, Bangkok, Thailand, and IMPACT Strategic Research Center, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - André F Carvalho
- Translational Psychiatry Research Group Federal University of Ceará, Fortaleza, CE, Brazil.
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Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, Belbasis L, Pacchiarotti I, Kessing LV, Berk M, Vieta E, Carvalho AF. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord 2017; 19:84-96. [PMID: 28470927 DOI: 10.1111/bdi.12490] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 03/25/2017] [Indexed: 12/30/2022]
Abstract
OBJECTIVES The pathophysiology of bipolar disorder is likely to involve both genetic and environmental risk factors. In our study, we aimed to perform a systematic search of environmental risk factors for BD. In addition, we assessed possible hints of bias in this literature, and identified risk factors supported by high epidemiological credibility. METHODS We searched the Pubmed/MEDLINE, EMBASE and PsycInfo databases up to 7 October 2016 to identify systematic reviews and meta-analyses of observational studies that assessed associations between putative environmental risk factors and BD. For each meta-analysis, we estimated its summary effect size by means of both random- and fixed-effects models, 95% confidence intervals (CIs), the 95% prediction interval, and heterogeneity. Evidence of small-study effects and excess of significance bias was also assessed. RESULTS Sixteen publications met the inclusion criteria (seven meta-analyses and nine qualitative systematic reviews). Fifty-one unique environmental risk factors for BD were evaluated. Six meta-analyses investigated associations with a risk factor for BD. Only irritable bowel syndrome (IBS) emerged as a risk factor for BD supported by convincing evidence (k=6; odds ratio [OR]=2.48; 95% CI=2.35-2.61; P<.001), and childhood adversity was supported by highly suggestive evidence. Asthma and obesity were risk factors for BD supported by suggestive evidence, and seropositivity to Toxoplasma gondii and a history of head injury were supported by weak evidence. CONCLUSIONS Notwithstanding that several environmental risk factors for BD were identified, few meta-analyses of observational studies were available. Therefore, further well-designed and adequately powered studies are necessary to map the environmental risk factors for BD.
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Affiliation(s)
- Beatrice Bortolato
- Institute for clinical Research and Education in Medicine, I.R.E.M., Padova, Italy
| | - Cristiano A Köhler
- Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Jordi León-Caballero
- Bipolar Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, CIBERSAM, Universidad Autonoma de Barcelona, Barcelona, Catalonia, Spain
| | - Marco Solmi
- Institute for clinical Research and Education in Medicine, I.R.E.M., Padova, Italy.,Department of Neurosciences, University of Padova, Padova, Italy.,Local Health Unit 17 ULSS 17, Mental Health Department, Padova, Italy.,Department of Medicine, DIMED, Geriatrics Division, University of Padova, Padova, Italy
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK.,Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Faculty of Health, Social care and Education, Anglia Ruskin University, Chelmsford, UK
| | - Lazaros Belbasis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Isabella Pacchiarotti
- Bipolar Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Lars V Kessing
- Psychiatric Centre Copenhagen, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Berk
- IMPACT Strategic Research Centre (Barwon Health), School of Medicine, Deakin University, Geelong, VIC, Australia.,Florey Institute for Neuroscience and Mental Health, Department of Psychiatry, University of Melbourne, Melbourne, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Eduard Vieta
- Bipolar Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - André F Carvalho
- Institute for clinical Research and Education in Medicine, I.R.E.M., Padova, Italy.,Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
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Walther A, Penz M, Ijacic D, Rice TR. Bipolar Spectrum Disorders in Male Youth: The Interplay between Symptom Severity, Inflammation, Steroid Secretion, and Body Composition. Front Psychiatry 2017; 8:207. [PMID: 29093685 PMCID: PMC5651281 DOI: 10.3389/fpsyt.2017.00207] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 10/03/2017] [Indexed: 12/27/2022] Open
Abstract
The morbidity and societal burden of youth bipolar spectrum disorders (BSD) are high. These disorders are multisystemic in that adult populations there are clear interactions with inflammatory processes and steroidal physiological systems. There are much less data concerning these areas of study in youth populations with BSD. This is surprising given the association of youth-onset BSD with puberty and its associated physiological changes. In this mini-review, we overview the theoretical role of inflammatory processes and steroidal physiological systems in youth BSD, describe the greater literature in adult populations, detail the literature in youth populations when available, and overview current proposed molecular mechanistic pathways and interaction effects based on the available data. We also attend to the interplay of this complex system with body composition and weight gain, an especially important consideration in relation to the role of second generation antipsychotics as the first line treatment for youth with BSD in major clinical guidelines. A developmental model of early onset BSD for boys is hypothesized with pubertal hormonal changes increasing risk for first (hypo-)manic/depressive episode. The dramatic androgen rise during puberty might be relevant for first onset of BSD in boys. A shift from general hypercortisolism driven by glucocorticoid resistance to hypocortisolism with further disease progression is assumed, while increased levels of inflammation are functionally associated with endocrine dysregulation. The interacting role of overweight body habitus and obesity in youth with BSD further indicates leptin resistance to be a central moderator of the dynamic neurobiology of BSD in youth. The intent of this mini-review is to advance our knowledge of youth BSD as multisystemic disorders with important contributions from endocrinology and immunology based on a developmental perspective. This knowledge can influence current clinical care and more importantly inform future research.
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Affiliation(s)
- Andreas Walther
- Department of Biological Psychology, Technische Universität Dresden, Dresden, Germany.,Department of Clinical Psychology and Psychotherapy, University of Zurich, Zurich, Switzerland
| | - Marlene Penz
- Department of Biological Psychology, Technische Universität Dresden, Dresden, Germany
| | - Daniela Ijacic
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Clinic Zurich, Zurich, Switzerland
| | - Timothy R Rice
- Department of Psychiatry - Child and Adolescent Inpatient Service, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Teixeira AL, Salem H, Frey BN, Barbosa IG, Machado-Vieira R. Update on bipolar disorder biomarker candidates. Expert Rev Mol Diagn 2016; 16:1209-1220. [PMID: 27737600 DOI: 10.1080/14737159.2016.1248413] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Bipolar disorder is a chronic and disabling mood disorder with a complex pathophysiological basis. A significant percentage of patients do not receive correct diagnosis which directly influences therapeutic response, rendering recovery troublesome. There is a long-standing need for proper non-clinically based tools for diagnosis, treatment selection and follow-up of such patients. Areas covered: In the past decade, the scientific community has shown a great interest in biomarker development. Here, we highlight the different potential biomarkers and we discuss their feasibility and their possible clinical relevance. Expert commentary: To date, despite the major ongoing trials and consortia with promising future perspectives, no reliable biomarker of bipolar disorder has been fully defined.
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Affiliation(s)
- Antonio L Teixeira
- a Department of Psychiatry and Behavioral Sciences, McGovern Medical School , The University of Texas Health Science Center at Houston , Houston , TX , USA
| | - Haitham Salem
- a Department of Psychiatry and Behavioral Sciences, McGovern Medical School , The University of Texas Health Science Center at Houston , Houston , TX , USA
| | - Benicio N Frey
- b Department of Psychiatry and Behavioural Neurosciences , McMaster University , Hamilton , ON , Canada.,c Mood Disorders Program and Women's Health Concerns Clinic , St. Joseph's Healthcare Hamilton , ON , Canada
| | - Izabela G Barbosa
- d Interdisciplinary Laboratory of Medical Investigation, School of Medicine , Federal University of Minas Gerais , Belo Horizonte , MG , Brazil
| | - Rodrigo Machado-Vieira
- e Experimental Therapeutics and Pathophysiology Branch, Intramural Research Program , National Institute of Mental Health , Bethesda , MD , USA
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Fries GR, Li Q, McAlpin B, Rein T, Walss-Bass C, Soares JC, Quevedo J. The role of DNA methylation in the pathophysiology and treatment of bipolar disorder. Neurosci Biobehav Rev 2016; 68:474-488. [PMID: 27328785 DOI: 10.1016/j.neubiorev.2016.06.010] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 06/03/2016] [Accepted: 06/12/2016] [Indexed: 12/31/2022]
Abstract
Bipolar disorder (BD) is a multifactorial illness thought to result from an interaction between genetic susceptibility and environmental stimuli. Epigenetic mechanisms, including DNA methylation, can modulate gene expression in response to the environment, and therefore might account for part of the heritability reported for BD. This paper aims to review evidence of the potential role of DNA methylation in the pathophysiology and treatment of BD. In summary, several studies suggest that alterations in DNA methylation may play an important role in the dysregulation of gene expression in BD, and some actually suggest their potential use as biomarkers to improve diagnosis, prognosis, and assessment of response to treatment. This is also supported by reports of alterations in the levels of DNA methyltransferases in patients and in the mechanism of action of classical mood stabilizers. In this sense, targeting specific alterations in DNA methylation represents exciting new treatment possibilities for BD, and the 'plastic' characteristic of DNA methylation accounts for a promising possibility of restoring environment-induced modifications in patients.
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Affiliation(s)
- Gabriel R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA.
| | - Qiongzhen Li
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA
| | - Blake McAlpin
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA
| | - Theo Rein
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
| | - Consuelo Walss-Bass
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA; Neuroscience Graduate Program, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA
| | - Jair C Soares
- Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Joao Quevedo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), 1941 East Rd, 77054, Houston, TX, USA; Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Neuroscience Graduate Program, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA; Laboratory of Neurosciences, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
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