1
|
Zhang L, Ding Y, Li T, Li H, Liu F, Li P, Zhao J, Lv D, Lang B, Guo W. Similar imaging changes and their relations to genetic profiles in bipolar disorder across different clinical stages. Psychiatry Res 2024; 335:115868. [PMID: 38554494 DOI: 10.1016/j.psychres.2024.115868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 04/01/2024]
Abstract
Bipolar disorder (BD) across different clinical stages may present shared and distinct changes in brain activity. We aimed to reveal the neuroimaging homogeneity and heterogeneity of BD and its relationship with clinical variables and genetic variations. In present study, we conducted fractional amplitude of low-frequency fluctuations (fALFF), functional connectivity (FC) and genetic neuroimaging association analyses with 32 depressed, 26 manic, 35 euthymic BD patients and 87 healthy controls (HCs). Significant differences were found in the bilateral pre/subgenual anterior cingulate cortex (ACC) across the four groups, and all bipolar patients exhibited decreased fALFF values in the ACC when compared to HCs. Furthermore, positive associations were significantly observed between fALFF values in the pre/subgenual ACC and participants' cognitive functioning. No significant changes were found in ACC-based FC. We identified fALFF-alteration-related genes in BD, with enrichment in biological progress including synaptic and ion transmission. Taken together, abnormal activity in ACC is a characteristic change associated with BD, regardless of specific mood stages, serving as a potential neuroimaging feature in BD patients. Our genetic neuroimaging association analysis highlights possible heterogeneity in biological processes that could be responsible for different clinical stages in BD.
Collapse
Affiliation(s)
- Leyi Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yudan Ding
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Tingting Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Dongsheng Lv
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; Center of Mental Health, Inner Mongolia Autonomous Region, Hohhot 010010, China.
| | - Bing Lang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| |
Collapse
|
2
|
Scotti-Muzzi E, Chile T, Vallada H, Otaduy MCG, Soeiro-de-Souza MG. BDNF rs6265 differentially influences neurometabolites in the anterior cingulate of healthy and bipolar disorder subjects. Brain Imaging Behav 2023; 17:282-293. [PMID: 36630045 DOI: 10.1007/s11682-023-00757-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 12/12/2022] [Accepted: 01/04/2023] [Indexed: 01/12/2023]
Abstract
Brain-derived neurotrophic factor (BDNF) is the most abundant brain neurotrophin and plays a critical role in neuronal growth, survival and plasticity, implicated in the pathophysiology of Bipolar Disorders (BD). The single-nucleotide polymorphism in the BDNF gene (BDNF rs6265) has been associated with decreased hippocampal BDNF secretion and volume in met carriers in different populations, although the val allele has been reported to be more frequent in BD patients. The anterior cingulate cortex (ACC) is a key center integrating cognitive and affective neuronal connections, where consistent alterations in brain metabolites such as Glx (Glutamate + Glutamine) and N-acetylaspartate (NAA) have been consistently reported in BD. However, little is known about the influence of BDNF rs6265 on neurochemical profile in the ACC of Healthy Controls (HC) and BD subjects. The aim of this study was to assess the influence of BDNF rs6265 on ACC neurometabolites (Glx, NAA and total creatine- Cr) in 124 euthymic BD type I patients and 76 HC, who were genotyped for BDNF rs6265 and underwent a 3-Tesla proton magnetic resonance imaging and spectroscopy scan (1 H-MRS) using a PRESS ACC single-voxel (8cm3) sequence. BDNF rs6265 polymorphism showed a significant two-way interaction (diagnosis × genotype) in relation to NAA/Cr and total Cr. While met carriers presented increased NAA/Cr in HC, BD-I subjects with the val allele revealed higher total Cr, denoting an enhanced ACC metabolism likely associated with increased glutamatergic metabolites observed in BD-I val carriers. However, these results were replicated only in men. Therefore, our results support evidences that the BDNF rs6265 polymorphism exerts a complex pleiotropic effect on ACC metabolites influenced by the diagnosis and sex.
Collapse
Affiliation(s)
- Estêvão Scotti-Muzzi
- Institute of Psychiatry, School of Medicine, University of São Paulo (IPq-FMUSP), São Paulo, Brazil.
| | - Thais Chile
- Genetics and Pharmacogenetics Unit (PROGENE), Institute of Psychiatry, School of Medicine, University of São Paulo (IPq-FMUSP), São Paulo, Brazil
| | - Homero Vallada
- Genetics and Pharmacogenetics Unit (PROGENE), Institute of Psychiatry, School of Medicine, University of São Paulo (IPq-FMUSP), São Paulo, Brazil
| | - Maria Concepción Garcia Otaduy
- Laboratory of Magnetic Resonance in Neuroradiology LIM44, Department and Institute of Radiology, School of Medicine, University of São Paulo (FMUSP), São Paulo, Brazil
| | | |
Collapse
|
3
|
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]
|
4
|
Vouga Ribeiro N, Tavares V, Bramon E, Toulopoulou T, Valli I, Shergill S, Murray R, Prata D. Effects of psychosis-associated genetic markers on brain volumetry: a systematic review of replicated findings and an independent validation. Psychol Med 2022; 52:1-16. [PMID: 36168994 PMCID: PMC9811278 DOI: 10.1017/s0033291722002896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 08/13/2022] [Accepted: 08/24/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Given psychotic illnesses' high heritability and associations with brain structure, numerous neuroimaging-genetics findings have been reported in the last two decades. However, few findings have been replicated. In the present independent sample we aimed to replicate any psychosis-implicated SNPs (single nucleotide polymorphisms), which had previously shown at least two main effects on brain volume. METHODS A systematic review for SNPs showing a replicated effect on brain volume yielded 25 studies implicating seven SNPs in five genes. Their effect was then tested in 113 subjects with either schizophrenia, bipolar disorder, 'at risk mental state' or healthy state, for whole-brain and region-of-interest (ROI) associations with grey and white matter volume changes, using voxel-based morphometry. RESULTS We found FWER-corrected (Family-wise error rate) (i.e. statistically significant) associations of: (1) CACNA1C-rs769087-A with larger bilateral hippocampus and thalamus white matter, across the whole brain; and (2) CACNA1C-rs769087-A with larger superior frontal gyrus, as ROI. Higher replication concordance with existing literature was found, in decreasing order, for: (1) CACNA1C-rs769087-A, with larger dorsolateral-prefrontal/superior frontal gyrus and hippocampi (both with anatomical and directional concordance); (2) ZNF804A-rs11681373-A, with smaller angular gyrus grey matter and rectus gyri white matter (both with anatomical and directional concordance); and (3) BDNF-rs6265-T with superior frontal and middle cingulate gyri volume change (with anatomical and allelic concordance). CONCLUSIONS Most literature findings were not herein replicated. Nevertheless, high degree/likelihood of replication was found for two genome-wide association studies- and one candidate-implicated SNPs, supporting their involvement in psychosis and brain structure.
Collapse
Affiliation(s)
- Nuno Vouga Ribeiro
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Vânia Tavares
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Timothea Toulopoulou
- Department of Psychology & National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent University, Ankara, Turkey
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Sukhi Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| |
Collapse
|
5
|
Cazes J, Dimick MK, Kennedy KG, Fiksenbaum L, Zai CC, Patel R, Islam AH, Tampakeras M, Freeman N, Kennedy JL, MacIntosh BJ, Goldstein BI. Structural neuroimaging phenotypes of a novel multi-gene risk score in youth bipolar disorder. J Affect Disord 2021; 289:135-143. [PMID: 33979723 DOI: 10.1016/j.jad.2021.04.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/19/2021] [Accepted: 04/21/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is among the most heritable psychiatric disorders, particularly in early-onset cases, owing to multiple genes of small effect. Here we examine a multi-gene risk score (MGRS), to address the gap in multi-gene research in early-onset BD. METHODS MGRS was derived from 34 genetic variants relevant to neuropsychiatric diseases and related systemic processes. Multiple MGRS were calculated across a spectrum of inclusion p-value thresholds, based on allelic associations with BD. Youth participants (123 BD, 103 healthy control [HC]) of European descent were included, of which 101 participants (58 BD, 43 HC) underwent MRI T1-weighted structural neuroimaging. Hierarchical regressions examined for main effects and MGRS-by-diagnosis interaction effects on 6 regions-of-interest (ROIs). Vertex-wise analysis also examined MGRS-by-diagnosis interactions. RESULTS MGRS based on allelic association p≤0.60 was most robust, explaining 6.8% of variance (t(226)=3.46, p=.001). There was an MGRS-by-diagnosis interaction effect on ventrolateral prefrontal cortex surface area (vlPFC; β=.21, p=.0007). Higher MGRS was associated with larger vlPFC surface area in BD vs. HC. There were 8 significant clusters in vertex-wise analyses, primarily in fronto-temporal regions, including vlPFC. LIMITATIONS Cross-sectional design, modest sample size. CONCLUSIONS There was a diagnosis-by-MGRS interaction effect on vlPFC surface area, a region involved in emotional processing, emotional regulation, and reward response. Vertex-wise analysis also identified several clusters overlapping this region. This preliminary study provides an example of an approach to imaging-genetics that is intermediate between candidate gene and genome-wide association studies, enriched for genetic variants with established relevance to neuropsychiatric diseases.
Collapse
Affiliation(s)
| | - Mikaela K Dimick
- University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Kody G Kennedy
- University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Lisa Fiksenbaum
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Clement C Zai
- Neurogenetics Section and Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Harvard T.H. Chan School of Public Health, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Ronak Patel
- University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Alvi H Islam
- University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Maria Tampakeras
- Neurogenetics Section and Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Natalie Freeman
- Neurogenetics Section and Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - James L Kennedy
- University of Toronto, Toronto, ON, Canada; Neurogenetics Section and Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Benjamin I Goldstein
- University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| |
Collapse
|
6
|
Janiri D, Kotzalidis GD, di Luzio M, Giuseppin G, Simonetti A, Janiri L, Sani G. Genetic neuroimaging of bipolar disorder: a systematic 2017-2020 update. Psychiatr Genet 2021; 31:50-64. [PMID: 33492063 DOI: 10.1097/ypg.0000000000000274] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
There is evidence of genetic polymorphism influences on brain structure and function, genetic risk in bipolar disorder (BD), and neuroimaging correlates of BD. How genetic influences related to BD could be reflected on brain changes in BD has been efficiently reviewed in a 2017 systematic review. We aimed to confirm and extend these findings through a Preferred Reporting Items for Systematic reviews and Meta-Analyses-based systematic review. Our study allowed us to conclude that there is no replicated finding in the timeframe considered. We were also unable to further confirm prior results of the BDNF gene polymorphisms to affect brain structure and function in BD. The most consistent finding is an influence of the CACNA1C rs1006737 polymorphism in brain connectivity and grey matter structure and function. There was a tendency of undersized studies to obtain positive results and large, genome-wide polygenic risk studies to find negative results in BD. The neuroimaging genetics in BD field is rapidly expanding.
Collapse
Affiliation(s)
- Delfina Janiri
- Department of Neurology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS
- Department of Psychiatry and Neurology, Sapienza University of Rome
| | - Georgios D Kotzalidis
- NESMOS Department, Sant'Andrea University Hospital, School of Medicine and Psychology, Sapienza University
| | - Michelangelo di Luzio
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulia Giuseppin
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Alessio Simonetti
- Department of Psychiatry and Neurology, Sapienza University of Rome
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Luigi Janiri
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Gabriele Sani
- Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| |
Collapse
|
7
|
Busatto G, Rosa PG, Serpa MH, Squarzoni P, Duran FL. Psychiatric neuroimaging research in Brazil: historical overview, current challenges, and future opportunities. REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2021; 43:83-101. [PMID: 32520165 PMCID: PMC7861184 DOI: 10.1590/1516-4446-2019-0757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 02/03/2020] [Indexed: 11/23/2022]
Abstract
The last four decades have witnessed tremendous growth in research studies applying neuroimaging methods to evaluate pathophysiological and treatment aspects of psychiatric disorders around the world. This article provides a brief history of psychiatric neuroimaging research in Brazil, including quantitative information about the growth of this field in the country over the past 20 years. Also described are the various methodologies used, the wealth of scientific questions investigated, and the strength of international collaborations established. Finally, examples of the many methodological advances that have emerged in the field of in vivo neuroimaging are provided, with discussion of the challenges faced by psychiatric research groups in Brazil, a country of limited resources, to continue incorporating such innovations to generate novel scientific data of local and global relevance.
Collapse
Affiliation(s)
- Geraldo Busatto
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Pedro G. Rosa
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Mauricio H. Serpa
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Paula Squarzoni
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Fabio L. Duran
- Laboratório de Neuroimagem em Psiquiatria (LIM 21), Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| |
Collapse
|
8
|
Yang T, Frangou S, Lam RW, Huang J, Su Y, Zhao G, Mao R, Zhu N, Zhou R, Lin X, Xia W, Wang X, Wang Y, Peng D, Wang Z, Yatham LN, Chen J, Fang Y. Probing the clinical and brain structural boundaries of bipolar and major depressive disorder. Transl Psychiatry 2021; 11:48. [PMID: 33446647 PMCID: PMC7809029 DOI: 10.1038/s41398-020-01169-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/07/2020] [Accepted: 12/11/2020] [Indexed: 12/12/2022] Open
Abstract
Bipolar disorder (BD) and major depressive disorder (MDD) have both common and distinct clinical features, that pose both conceptual challenges in terms of their diagnostic boundaries and practical difficulties in optimizing treatment. Multivariate machine learning techniques offer new avenues for exploring these boundaries based on clinical neuroanatomical features. Brain structural data were obtained at 3 T from a sample of 90 patients with BD, 189 patients with MDD, and 162 healthy individuals. We applied sparse partial least squares discriminant analysis (s-PLS-DA) to identify clinical and brain structural features that may discriminate between the two clinical groups, and heterogeneity through discriminative analysis (HYDRA) to detect patient subgroups with reference to healthy individuals. Two clinical dimensions differentiated BD from MDD (area under the curve: 0.76, P < 0.001); one dimension emphasized disease severity as well as irritability, agitation, anxiety and flight of ideas and the other emphasized mostly elevated mood. Brain structural features could not distinguish between the two disorders. HYDRA classified patients in two clusters that differed in global and regional cortical thickness, the distribution proportion of BD and MDD and positive family history of psychiatric disorders. Clinical features remain the most reliable discriminant attributed of BD and MDD depression. The brain structural findings suggests that biological partitions of patients with mood disorders are likely to lead to the identification of subgroups, that transcend current diagnostic divisions into BD and MDD and are more likely to be aligned with underlying genetic variation. These results set the foundation for future studies to enhance our understanding of brain-behavior relationships in mood disorders.
Collapse
Affiliation(s)
- Tao Yang
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Sophia Frangou
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada ,grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Raymond W. Lam
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Jia Huang
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yousong Su
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guoqing Zhao
- grid.460018.b0000 0004 1769 9639Department of Psychology, Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Ruizhi Mao
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Zhu
- Shanghai Pudong New District Mental Health Center, Shanghai, China
| | - Rubai Zhou
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Lin
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiping Xia
- grid.16821.3c0000 0004 0368 8293Department of Medical Psychology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xing Wang
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Wang
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Daihui Peng
- grid.16821.3c0000 0004 0368 8293Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zuowei Wang
- Division of Mood Disorders, Shanghai Hongkou District Mental Health Center, Shanghai, China
| | - Lakshmi N. Yatham
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Jun Chen
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yiru Fang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China. .,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.
| |
Collapse
|
9
|
Todeva-Radneva A, Paunova R, Kandilarova S, St Stoyanov D. The Value of Neuroimaging Techniques in the Translation and Transdiagnostic Validation of Psychiatric Diagnoses - Selective Review. Curr Top Med Chem 2021; 20:540-553. [PMID: 32003690 DOI: 10.2174/1568026620666200131095328] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 12/09/2019] [Accepted: 12/12/2019] [Indexed: 01/05/2023]
Abstract
Psychiatric diagnosis has long been perceived as more of an art than a science since its foundations lie within the observation, and the self-report of the patients themselves and objective diagnostic biomarkers are lacking. Furthermore, the diagnostic tools in use not only stray away from the conventional medical framework but also remain invalidated with evidence-based concepts. However, neuroscience, as a source of valid objective knowledge has initiated the process of a paradigm shift underlined by the main concept of psychiatric disorders being "brain disorders". It is also a bridge closing the explanatory gap among the different fields of medicine via the translation of the knowledge within a multidisciplinary framework. The contemporary neuroimaging methods, such as fMRI provide researchers with an entirely new set of tools to reform the current status quo by creating an opportunity to define and validate objective biomarkers that can be translated into clinical practice. Combining multiple neuroimaging techniques with the knowledge of the role of genetic factors, neurochemical imbalance and neuroinflammatory processes in the etiopathophysiology of psychiatric disorders is a step towards a comprehensive biological explanation of psychiatric disorders and a final differentiation of psychiatry as a well-founded medical science. In addition, the neuroscientific knowledge gained thus far suggests a necessity for directional change to exploring multidisciplinary concepts, such as multiple causality and dimensionality of psychiatric symptoms and disorders. A concomitant viewpoint transition of the notion of validity in psychiatry with a focus on an integrative validatory approach may facilitate the building of a collaborative bridge above the wall existing between the scientific fields analyzing the mind and those studying the brain.
Collapse
Affiliation(s)
- Anna Todeva-Radneva
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Rositsa Paunova
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Drozdstoy St Stoyanov
- Department of Psychiatry and Medical Psychology and Scientific Research Institute, The Medical University of Plovdiv, Plovdiv, Bulgaria
| |
Collapse
|
10
|
Buch AM, Liston C. Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics. Neuropsychopharmacology 2021; 46:156-175. [PMID: 32781460 PMCID: PMC7688954 DOI: 10.1038/s41386-020-00789-3] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/07/2020] [Accepted: 07/16/2020] [Indexed: 12/12/2022]
Abstract
Depression is a heterogeneous and etiologically complex psychiatric syndrome, not a unitary disease entity, encompassing a broad spectrum of psychopathology arising from distinct pathophysiological mechanisms. Motivated by a need to advance our understanding of these mechanisms and develop new treatment strategies, there is a renewed interest in investigating the neurobiological basis of heterogeneity in depression and rethinking our approach to diagnosis for research purposes. Large-scale genome-wide association studies have now identified multiple genetic risk variants implicating excitatory neurotransmission and synapse function and underscoring a highly polygenic inheritance pattern that may be another important contributor to heterogeneity in depression. Here, we review various sources of phenotypic heterogeneity and approaches to defining and studying depression subtypes, including symptom-based subtypes and biology-based approaches to decomposing the depression syndrome. We review "dimensional," "categorical," and "hybrid" approaches to parsing phenotypic heterogeneity in depression and defining subtypes using functional neuroimaging. Next, we review recent progress in neuroimaging genetics (correlating neuroimaging patterns of brain function with genetic data) and its potential utility for generating testable hypotheses concerning molecular and circuit-level mechanisms. We discuss how genetic variants and transcriptomic profiles may confer risk for depression by modulating brain structure and function. We conclude by highlighting several promising areas for future research into the neurobiological underpinnings of heterogeneity, including efforts to understand sexually dimorphic mechanisms, the longitudinal dynamics of depressive episodes, and strategies for developing personalized treatments and facilitating clinical decision-making.
Collapse
Affiliation(s)
- Amanda M Buch
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, 413 East 69th Street, Box 240, New York, NY, 10021, USA
| | - Conor Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, 413 East 69th Street, Box 240, New York, NY, 10021, USA.
| |
Collapse
|
11
|
Chen J, Tan J, Greenshaw AJ, Sawalha J, Liu Y, Zhang X, Zou W, Cheng X, Deng W, Zhang Y, Cui L, Liu C, Sun J, Cheng X, Wu Q, Li S, Mai S, Lan X, Chen Y, Cai Y, Zheng C, Cheng D, Zhang B, Yang C, Li X, Li X, Ye B, Yousefnezhad M, Zhang Y, Zhao L, Soares JC, Zhang X, Li T, Cao B, Cao L. CACNB2 rs11013860 polymorphism correlates of prefrontal cortex thickness in bipolar patients with first-episode mania. J Affect Disord 2020; 268:82-87. [PMID: 32158010 DOI: 10.1016/j.jad.2020.02.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/28/2020] [Accepted: 02/01/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND The β2 subunit of the voltage-gated l-type calcium channel gene(CACNB2) rs11013860 polymorphism is a putative genetic susceptibility marker for bipolar disorder (BD). However, the neural effects of CACNB2 rs11013860 in BD are largely unknown. METHODS Forty-six bipolar patients with first-episode mania and eighty-three healthy controls (HC) were genotyped for CACNB2 rs11013860 and were scanned with a 3.0 Tesla structural magnetic resonance imaging system to measure cortical thickness of prefrontal cortex (PFC) components (superior frontal cortex, orbitofrontal cortex, middle and inferior frontal gyri). RESULTS Cortical thickness was thinner in patients on all PFC measurements compared to HC (p < 0.050). Moreover, we found a significant interaction between CACNB2 genotype and diagnosis for the right superior frontal cortical thickness (F = 8.190, p = 0.040). Bonferroni corrected post-hoc tests revealed that, in CACNB2 A-allele carriers, patients displayed thinner superior frontal thickness compared to HC (p < 0.001). In patients, CACNB2 A-allele carriers also exhibited reduced superior frontal thickness compared to CACNB2 CC-allele carriers (p = 0.016). LIMITATIONS Lithium treatment may influence our results, and the sample size in our study is relatively small. CONCLUSIONS Our results suggest that the CACNB2 rs11013860 might impact PFC thickness in patients with first-episode mania. These findings provide evidence to support CACNB2 rs11013860 involvement in the emotion-processing neural circuitry abnormality in the early stage of BD, which will ultimately contribute to revealing the link between the variation in calcium channel genes and the neuropathological mechanism of BD.
Collapse
Affiliation(s)
- Jianshan Chen
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Jiuwei Tan
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Andrew J Greenshaw
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Jeff Sawalha
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Yang Liu
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Xiaofei Zhang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Wenjin Zou
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xiaofang Cheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Wenhao Deng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Yizhi Zhang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China; General Hospital of Southern Theater Command, Guangzhou, Guangdong, PR China
| | - Liqian Cui
- The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, PR China
| | - Chuihong Liu
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Jiaqi Sun
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xiongchao Cheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China; Nanning Fifth People's Hospital, Nanning, Guangxi Zhuang autonomous region, PR China
| | - Qiuxia Wu
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Suyi Li
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Siming Mai
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xiaofeng Lan
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Yingmei Chen
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Yinglian Cai
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Chaodun Zheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Daomeng Cheng
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Bin Zhang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Chanjuan Yang
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xuan Li
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | - Xinmin Li
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada
| | - Biyu Ye
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China
| | | | - Yamin Zhang
- The Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Liansheng Zhao
- The Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Xiangyang Zhang
- Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China
| | - Tao Li
- The Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, PR China
| | - Bo Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China; Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada.
| | - Liping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou HuiAi Hospital, Guangzhou, Guangdong, PR China.
| |
Collapse
|
12
|
Xiao Q, Zhong Y, Jiao Q, Lu G, Su Y. Gray matter voxel-based morphometry in mania and remission states of children with bipolar disorder. J Affect Disord 2020; 268:47-54. [PMID: 32158006 DOI: 10.1016/j.jad.2020.02.042] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 02/07/2020] [Accepted: 02/26/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND It has been found by many studies that gray matter (GM) abnormalities exist in both adults and children with bipolar disorder (PBD) which is a serious mental illness characterized by alternating episodes of mania and depression. However, there are few studies on the comparison between brain imaging of different mood states shown by patients with bipolar disorder. This study is aimed at exploring the differences existing in brain structures between children with bipolar disorder and that of healthy controls, and then it tries to further explore whether there is a structural difference between the states of mania and remission in children with bipolar disorder. METHODS 21 PBD-mania subjects, 19 PBD-remission subjects and 18 control subjects aged 12-17 years old were engaged in this study. In the present study, magnetic resonance imaging was obtained by employing a Siemens 3.0 T scanner. With regard to the volumes of gray matter in the mania group, remission group and healthy control group, analysis was carried out by using voxel-based morphometry (VBM). Further analysis was conducted on the correlation between MRI data and clinical features of patients with PBD. RESULTS In comparison with the healthy control subjects, the gray matter volume measured from the left hippocampus, parahippocampal gyrus and amygdala in both manic and euthymic groups showed a decreasing trend, while the volume of left orbitofrontal cortex increased. However, no significant difference in volumes was found between BD manic and euthymic groups. It was observed that the volume of orbitofrontal cortex had a positive correlation with onset age in PBD euthymic group. CONCLUSIONS Our study came to the conclusion that extensive brain structural changes are available in patients with PBD. The brain regions with structural changes are distributed in the anterior limbic network (ALN), which has been proved to have been involved in the abnormal emotional and cognitive regulation of PBD. However, there is no difference in the volumes of gray matter between mania and remission in PBD .
Collapse
Affiliation(s)
- Qian Xiao
- Mental Health Centre of Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing 210097,China; Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - Qing Jiao
- Department of Radiology, Taishan Medical University, Taian 271016, China
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
| | - Yi Su
- Child Language Lab, School of Foreign Languages, Central South University, Changsha, Hunan 410083, China.
| |
Collapse
|
13
|
Yu H, Meng YJ, Li XJ, Zhang C, Liang S, Li ML, Li Z, Guo W, Wang Q, Deng W, Ma X, Coid J, Li T. Common and distinct patterns of grey matter alterations in borderline personality disorder and bipolar disorder: voxel-based meta-analysis. Br J Psychiatry 2019; 215:395-403. [PMID: 30846010 DOI: 10.1192/bjp.2019.44] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Whether borderline personality disorder (BPD) and bipolar disorder are the same or different disorders lacks consistency.AimsTo detect whether grey matter volume (GMV) and grey matter density (GMD) alterations show any similarities or differences between BPD and bipolar disorder. METHOD Web-based publication databases were searched to conduct a meta-analysis of all voxel-based studies that compared BPD or bipolar disorder with healthy controls. We included 13 BPD studies (395 patients with BPD and 415 healthy controls) and 47 bipolar disorder studies (2111 patients with bipolar disorder and 3261 healthy controls). Peak coordinates from clusters with significant group differences were extracted. Effect-size signed differential mapping meta-analysis was performed to analyse peak coordinates of clusters and thresholds (P < 0.005, uncorrected). Conjunction analyses identified regions in which disorders showed common patterns of volumetric alteration. Correlation analyses were also performed. RESULTS Patients with BPD showed decreased GMV and GMD in the bilateral medial prefrontal cortex network (mPFC), bilateral amygdala and right parahippocampal gyrus; patients with bipolar disorder showed decreased GMV and GMD in the bilateral medial orbital frontal cortex (mOFC), right insula and right thalamus, and increased GMV and GMD in the right putamen. Multi-modal analysis indicated smaller volumes in both disorders in clusters in the right medial orbital frontal cortex. Decreased bilateral mPFC in BPD was partly mediated by patient age. Increased GMV and GMD of the right putamen was positively correlated with Young Mania Rating Scale scores in bipolar disorder. CONCLUSIONS Our results show different patterns of GMV and GMD alteration and do not support the hypothesis that bipolar disorder and BPD are on the same affective spectrum.Declaration of interestNone.
Collapse
Affiliation(s)
- Hua Yu
- Associate Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Ya-Jing Meng
- Associate Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Xiao-Jing Li
- Associate Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Chengcheng Zhang
- Associate Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Sugai Liang
- Associate Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Ming-Li Li
- Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Zhe Li
- Lecturer,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Wanjun Guo
- Lecturer,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Qiang Wang
- Lecturer,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Wei Deng
- Lecturer,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Xiaohong Ma
- Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Jeremy Coid
- Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| | - Tao Li
- Researcher,Mental Health Center,West China Hospital of Sichuan University;Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Hospital of Sichuan University;and Brain Research Center,West China Hospital of Sichuan University,China
| |
Collapse
|
14
|
Han MR, Han KM, Kim A, Kang W, Kang Y, Kang J, Won E, Tae WS, Cho Y, Ham BJ. Whole-exome sequencing identifies variants associated with structural MRI markers in patients with bipolar disorders. J Affect Disord 2019; 249:159-168. [PMID: 30772743 DOI: 10.1016/j.jad.2019.02.028] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 01/29/2019] [Accepted: 02/10/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is one of the most heritable psychiatric disorders. A growing number of whole-exome sequencing (WES) studies for BD has been performed, however, no research has examined the association between single nucleotide variants (SNVs) from WES and structural magnetic resonance imaging (MRI) data. METHODS We sequenced whole-exomes in 53 patients with BD and 82 healthy control participants at an initial discovery stage and investigated the impacts of SNVs in risk genes from WES analysis on the cortical gray-matter thickness and integrity of white matter tracts and in the following stage. Cortical thickness and white matter integrity were investigated using the FreeSurfer and TRACULA (Tracts Constrained by UnderLying Anatomy). RESULTS We identified 122 BD-related genes including KMT2C, AHNAK, CDH23, DCHS1, FRAS1, MACF1 and RYR3 and observed 27 recurrent copy number alteration regions including gain on 8p23.1 and loss on 15q11.1 - q11.2. Among them, single nucleotide polymorphism (SNP) rs4639425 in KMT2C gene, which regulates histone H3 lysine 4 (H3K4) methylation involved in chromatin remodeling, was associated with widespread alterations of white matter integrity including the cingulum, uncinate fasciculus, cortico-spinal tract, and superior longitudinal fasciculus. LIMITATION The small sample size of patients with BD in the genome data may cause our study to be underpowered when searching for putative rare mutations. CONCLUSION This study first combined a WES approach and neuroimaging findings in psychiatric disorders. We postulate the rs4639425 may be associated with BD-related microstructural changes of white matter tracts.
Collapse
Affiliation(s)
- Mi-Ryung Han
- Department of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - June Kang
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Eunsoo Won
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Yunjung Cho
- Department of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
| |
Collapse
|
15
|
Liu F, Gong X, Yao X, Cui L, Yin Z, Li C, Tang Y, Wang F. Variation in the CACNB2 gene is associated with functional connectivity of the Hippocampus in bipolar disorder. BMC Psychiatry 2019; 19:62. [PMID: 30744588 PMCID: PMC6371424 DOI: 10.1186/s12888-019-2040-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Accepted: 01/28/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Calcium voltage-gated channel auxiliary subunit β2 is a protein that, in humans, is encoded by the CACNB2 gene. The β2 subunit is an auxiliary protein of voltage-gated calcium channels, which is predominantly expressed in hippocampal pyramidal neurons. A single-nucleotide polymorphism at the CACNB2 gene (rs11013860) has been reported in genome-wide association studies to be associated with bipolar disorder (BD). However, the neural effects of rs11013860 expression are unknown. Thus, the current study investigated the mechanisms of how the CACNB2 gene influences hippocampal-cortical limbic circuits in patients with bipolar disorder (BD). METHODS A total of 202 subjects were studied [69 BD patients and 133 healthy controls (HC)]. Participants agreed to undergo resting-state functional magnetic resonance imaging (rs-fMRI) and have blood drawn for genetic testing. Participants were found to belong to either a CC group homozygous for the C-allele (17 BD, 41 HC), or an A-carrier group carrying the high risk A-allele (AA/CA genotypes; 52 BD, 92 HC). Brain activity was assessed using resting-state functional connectivity (rs-FC) analyses. RESULTS A main effect of genotype showed that the rs-FC of the AA/CA group was elevated more than that of the CC-group between the hippocampus and the regions of right-inferior temporal, fusiform, and left-inferior occipital gyri. Additionally, a significant diagnosis × genotype interaction was noted between the hippocampus and right pars triangularis. Furthermore, in BD patients, the AA/CA group showed lower rs-FC when compared to that of the CC group. Additionally, individuals from HC within the AA/CA group showed higher rs-FC than that of the CC group. Finally, within C-allele-carrying groups, individuals with BD showed significantly increased rs-FC compared to that of HC. CONCLUSIONS Our study demonstrates that BD patients with the CACNB2 rs11013860 AA/CA genotype may exhibit altered hippocampal-cortical connectivity.
Collapse
Affiliation(s)
- Fang Liu
- grid.412636.4Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001 Liaoning China ,0000 0004 0369 4060grid.54549.39The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaohong Gong
- A605, Building School of Life SCiences, Songhu Road 2005, Dinstric Yangpu, Shanghai, China
| | - Xudong Yao
- grid.412636.4Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001 Liaoning China ,0000 0004 0369 4060grid.54549.39The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Lingling Cui
- grid.412636.4Department of Radiology, First Affiliated Hospital, China Medical University, Shenyang, Liaoning People’s Republic of China
| | - Zhiyang Yin
- grid.412636.4Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001 Liaoning China
| | - Chao Li
- grid.412636.4Department of Radiology, First Affiliated Hospital, China Medical University, Shenyang, Liaoning People’s Republic of China
| | - Yanqing Tang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, China. .,Department of Geriatric Medicine, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, People's Republic of China.
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, China. .,Department of Radiology, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, People's Republic of China. .,Brain Function Research Section, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, People's Republic of China.
| |
Collapse
|
16
|
Mandolini GM, Lazzaretti M, Pigoni A, Delvecchio G, Soares JC, Brambilla P. The impact of BDNF Val66Met polymorphism on cognition in Bipolar Disorder: A review: Special Section on "Translational and Neuroscience Studies in Affective Disorders" Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summaries relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders. J Affect Disord 2019; 243:552-558. [PMID: 30078664 DOI: 10.1016/j.jad.2018.07.054] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 07/12/2018] [Accepted: 07/20/2018] [Indexed: 12/29/2022]
Abstract
BACKGROUND Converging lines of evidence suggest that Brain-Derived Neurotrophic Factor (BDNF) may play a central role in the pathogenesis of Bipolar Disorder (BD), thus representing a valid biomarker of the disease. A common genetic variation in the BDNF gene, the Val66Met, is associated with reduced maturation and secretion of BDNF and therefore it has been related to specific mood, cognitive and neuroanatomical alterations in BD. However, so far, only a handful of studies have investigated the association between Val66Met polymorphism and cognitive functioning in BD. METHODS We performed a bibliographic search on PUBMED of all genetic studies investigating Val66Met modulation on cognitive performances in BD subjects. The inclusion criteria were met by nine studies, including a total amount of 897 BD subjects and 803 healthy controls. RESULTS From the analysis of the existing literature emerged that a) Val allele in BD adults, but not in BD adolescents, was associated with better performances in selective cognitive domains including executive functions, verbal learning and memory; b) Met allele may negatively modulate the association between childhood trauma and performances in memory, verbal ability and verbal fluency tasks; c) Met allele may also negatively regulate structural abnormalities in cognitive cerebral structures; d) Val/Met carriers showed greater improvements in cognitive functions compared to Val/Val and Met/Met carriers. LIMITATIONS Few genetic studies exploring the impact of Val66Met on cognition in BD. CONCLUSIONS Val66Met polymorphism likely modulates cognitive functions in BD patients with complex gene-environment interactions and through potential modulations of cerebral structures. Further and larger genetic studies are required in order to detect association between BDNF polymorphism, BDNF levels, brain abnormalities and cognition in BD.
Collapse
Affiliation(s)
- G M Mandolini
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
| | - M Lazzaretti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - A Pigoni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - G Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - J C Soares
- Department of Psychiatry and Behavioural Neurosciences, University of Texas, Houston, TX, USA
| | - P Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Scientific Institute IRCCS "E. Medea", Bosisio Parini (Lc), Italy.
| |
Collapse
|
17
|
Vai B, Bertocchi C, Benedetti F. Cortico-limbic connectivity as a possible biomarker for bipolar disorder: where are we now? Expert Rev Neurother 2019; 19:159-172. [PMID: 30599797 DOI: 10.1080/14737175.2019.1562338] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The fronto-limbic network has been suggested as a key circuitry in the pathophysiology and maintenance of bipolar disorder. In the past decade, a disrupted connectivity within prefrontal-limbic structures was identified as a promising candidate biomarker for the disorder. Areas Covered: In this review, the authors examine current literature in terms of the structural, functional and effective connectivity in bipolar disorder, integrating recent findings of imaging genetics and machine learning. This paper profiles the current knowledge and identifies future perspectives to provide reliable and usable neuroimaging biomarkers for bipolar psychopathology in clinical practice. Expert Opinion: The replication and the translation of acquired knowledge into useful and usable tools represents one of the current greatest challenges in biomarker research applied to psychiatry.
Collapse
Affiliation(s)
- Benedetta Vai
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
| | - Carlotta Bertocchi
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy
| | - Francesco Benedetti
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
| |
Collapse
|
18
|
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.
Collapse
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.
| |
Collapse
|
19
|
Hodes A, Lifschytz T, Rosen H, Cohen Ben-Ami H, Lichtstein D. Reduction in endogenous cardiac steroids protects the brain from oxidative stress in a mouse model of mania induced by amphetamine. Brain Res Bull 2018; 137:356-362. [PMID: 29374602 DOI: 10.1016/j.brainresbull.2018.01.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 01/10/2018] [Accepted: 01/19/2018] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Bipolar disorder (BD) is a severe mental illness characterized by episodes of mania and depression. Numerous studies have implicated the involvement of endogenous cardiac steroids (CS), and their receptor, Na+, K+ -ATPase, in BD. The aim of the present study was to examine the role of brain oxidative stress in the CS-induced behavioral effects in mice. METHODS Amphetamine (AMPH)-induced hyperactivity, assessed in the open-field test, served as a model for manic-like behavior in mice. A reduction in brain CS was obtained by specific and sensitive anti-ouabain antibodies. The level of oxidative stress was tested in the hippocampus and frontal cortex by measuring the activity of antioxidant enzymes superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx), as well as the levels of antioxidant non-protein thiols (NPSH) and oxidative damage biomarkers thiobarbituric acid reactive substances (TBARS) and protein carbonyl (PC). RESULTS AMPH administration resulted in a marked hyperactivity and increased oxidative stress, as manifested by increased SOD activity, decreased activities of CAT and GPx, reduced levels of NPSH and increased levels of TBARS and PC. The administration of anti-ouabain antibodies, which reduced the AMPH-induced hyperactivity, protected against the concomitant oxidative stress in the brain. CONCLUSIONS Our results demonstrate that oxidative stress participates in the effects of endogenous CS on manic-like behavior induced by AMPH. These finding support the notion that CS and oxidative stress may be associated with the pathophysiology of mania and BD.
Collapse
Affiliation(s)
- Anastasia Hodes
- Department of Medical Neurobiology, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Tzuri Lifschytz
- Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Haim Rosen
- Department of Microbiology and Molecular Genetics, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Hagit Cohen Ben-Ami
- Department of Medical Neurobiology, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - David Lichtstein
- Department of Medical Neurobiology, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel.
| |
Collapse
|
20
|
Goldstein BI. Bipolar Disorder and the Vascular System: Mechanisms and New Prevention Opportunities. Can J Cardiol 2017; 33:1565-1576. [DOI: 10.1016/j.cjca.2017.10.006] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 10/01/2017] [Accepted: 10/02/2017] [Indexed: 12/19/2022] Open
|