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Oh EY, Han KM, Kim A, Kang Y, Tae WS, Han MR, Ham BJ. Integration of whole-exome sequencing and structural neuroimaging analysis in major depressive disorder: a joint study. Transl Psychiatry 2024; 14:141. [PMID: 38461185 PMCID: PMC10924915 DOI: 10.1038/s41398-024-02849-4] [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: 09/15/2023] [Revised: 02/07/2024] [Accepted: 02/22/2024] [Indexed: 03/11/2024] Open
Abstract
Major depressive disorder (MDD) is a common mental illness worldwide and is triggered by an intricate interplay between environmental and genetic factors. Although there are several studies on common variants in MDD, studies on rare variants are relatively limited. In addition, few studies have examined the genetic contributions to neurostructural alterations in MDD using whole-exome sequencing (WES). We performed WES in 367 patients with MDD and 161 healthy controls (HCs) to detect germline and copy number variations in the Korean population. Gene-based rare variants were analyzed to investigate the association between the genes and individuals, followed by neuroimaging-genetic analysis to explore the neural mechanisms underlying the genetic impact in 234 patients with MDD and 135 HCs using diffusion tensor imaging data. We identified 40 MDD-related genes and observed 95 recurrent regions of copy number variations. We also discovered a novel gene, FRMPD3, carrying rare variants that influence MDD. In addition, the single nucleotide polymorphism rs771995197 in the MUC6 gene was significantly associated with the integrity of widespread white matter tracts. Moreover, we identified 918 rare exonic missense variants in genes associated with MDD susceptibility. We postulate that rare variants of FRMPD3 may contribute significantly to MDD, with a mild penetration effect.
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Affiliation(s)
- Eun-Young Oh
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
- Brain Convergence Research Center, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- 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
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University College of Medicine, Seoul, Republic of Korea
| | - Mi-Ryung Han
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea.
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
- Brain Convergence Research Center, Korea University College of Medicine, Seoul, Republic of Korea.
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Yuan M, Yang B, Rothschild G, Mann JJ, Sanford LD, Tang X, Huang C, Wang C, Zhang W. Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential. Signal Transduct Target Ther 2023; 8:309. [PMID: 37644009 PMCID: PMC10465587 DOI: 10.1038/s41392-023-01519-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 05/14/2023] [Accepted: 05/31/2023] [Indexed: 08/31/2023] Open
Abstract
Major depressive disorder (MDD) is a chronic, generally episodic and debilitating disease that affects an estimated 300 million people worldwide, but its pathogenesis is poorly understood. The heritability estimate of MDD is 30-40%, suggesting that genetics alone do not account for most of the risk of major depression. Another factor known to associate with MDD involves environmental stressors such as childhood adversity and recent life stress. Recent studies have emerged to show that the biological impact of environmental factors in MDD and other stress-related disorders is mediated by a variety of epigenetic modifications. These epigenetic modification alterations contribute to abnormal neuroendocrine responses, neuroplasticity impairment, neurotransmission and neuroglia dysfunction, which are involved in the pathophysiology of MDD. Furthermore, epigenetic marks have been associated with the diagnosis and treatment of MDD. The evaluation of epigenetic modifications holds promise for further understanding of the heterogeneous etiology and complex phenotypes of MDD, and may identify new therapeutic targets. Here, we review preclinical and clinical epigenetic findings, including DNA methylation, histone modification, noncoding RNA, RNA modification, and chromatin remodeling factor in MDD. In addition, we elaborate on the contribution of these epigenetic mechanisms to the pathological trait variability in depression and discuss how such mechanisms can be exploited for therapeutic purposes.
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Affiliation(s)
- Minlan Yuan
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Biao Yang
- Department of Abdominal Oncology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Gerson Rothschild
- Department of Microbiology and Immunology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - J John Mann
- Department of Psychiatry, Columbia University, New York, NY, 10032, USA
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, 10032, USA
- Department of Radiology, Columbia University, New York, NY, 10032, USA
| | - Larry D Sanford
- Sleep Research Laboratory, Center for Integrative Neuroscience and Inflammatory Diseases, Pathology and Anatomy, Eastern Virginia Medical School, Norfolk, VA, USA
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Canhua Huang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Chuang Wang
- Department of Pharmacology, and Provincial Key Laboratory of Pathophysiology in School of Medicine, Ningbo University, Ningbo, Zhejiang, 315211, China.
| | - Wei Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
- Medical Big Data Center, Sichuan University, Chengdu, 610041, China.
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Twait EL, Blom K, Koek HL, Zwartbol MHT, Ghaznawi R, Hendrikse J, Gerritsen L, Geerlings MI. Psychosocial factors and hippocampal subfields: The Medea-7T study. Hum Brain Mapp 2022; 44:1964-1984. [PMID: 36583397 PMCID: PMC9980899 DOI: 10.1002/hbm.26185] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/21/2022] [Accepted: 12/05/2022] [Indexed: 12/31/2022] Open
Abstract
Specific subfields within the hippocampus have shown vulnerability to chronic stress, highlighting the importance of looking regionally within the hippocampus to understand the role of psychosocial factors in the development of neurodegenerative diseases. A systematic review on psychosocial factors and hippocampal subfield volumes was performed and showed inconsistent results, highlighting the need for future studies to explore this relationship. The current study aimed to explore the association of psychosocial factors with hippocampal (subfield) volumes, using high-field 7T MRI. Data were from the Memory Depression and Aging (Medea)-7T study, which included 333 participants without dementia. Hippocampal subfields were automatically segmented from T2-weighted images using ASHS software. Generalized linear models accounting for correlated outcomes were used to assess the association between subfields (i.e., entorhinal cortex, subiculum, Cornu Ammonis [CA]1, CA2, CA3, dentate gyrus, and tail) and each psychosocial factor (i.e., depressive symptoms, anxiety symptoms, childhood maltreatment, recent stressful life events, and social support), adjusted for age, sex, and intracranial volume. Neither depression nor anxiety was associated with specific hippocampal (subfield) volumes. A trend for lower total hippocampal volume was found in those reporting childhood maltreatment, and a trend for higher total hippocampal volume was found in those who experienced a recent stressful life event. Among subfields, low social support was associated with lower volume in the CA3 (B = -0.43, 95% CI: -0.72; -0.15). This study suggests possible differential effects among hippocampal (subfield) volumes and psychosocial factors.
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Affiliation(s)
- Emma L. Twait
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Kim Blom
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Huiberdina L. Koek
- Department of GeriatricsUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Maarten H. T. Zwartbol
- Department of RadiologyUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Rashid Ghaznawi
- Department of RadiologyUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Jeroen Hendrikse
- Department of RadiologyUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Lotte Gerritsen
- Department of PsychologyUtrecht UniversityUtrechtThe Netherlands
| | - Mirjam I. Geerlings
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands,Department of General PracticeAmsterdam UMC, Location University of AmsterdamAmsterdamThe Netherlands,Amsterdam Public Health, Aging & Later life, and Personalized MedicineAmsterdamThe Netherlands,Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and SleepAmsterdamThe Netherlands
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Hippocampal volume and parahippocampal cingulum alterations are associated with avoidant attachment in patients with depression. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022. [DOI: 10.1016/j.jadr.2022.100435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Kang Y, Kim A, Kang W, Han KM, Ham B. The Association of White Matter Tracts with Alexithymia among Individuals with Major Depressive Disorder. Exp Neurobiol 2022; 31:343-352. [PMID: 36351844 PMCID: PMC9659491 DOI: 10.5607/en22030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 10/09/2022] [Accepted: 10/09/2022] [Indexed: 04/20/2024] Open
Abstract
Alexithymia is characterized by impairments in the processing of emotions. Although the disruptions in the white matter (WM) integrity in Major depressive disorder (MDD) has frequently been reported, the underlying relationship with alexithymia remains unclear. In the present study, we investigated WM tracts with Tracts Constrained by UnderLying Anatomy approach to discover potential associations between alexithymia and WM integrity to identify the neural basis of impaired emotional self-awareness in MDD. 101 patients with MDD and 99 healthy sex- and age-matched individuals underwent diffusion-weighted imaging. All participants were assessed with the 20-item Toronto Alexithymia Scale (TAS). TAS scores were significantly higher in MDD patients than in controls. Patients with MDD exhibited significantly lower FA values in the left inferior longitudinal fasciculus and it also showed negative associations with TAS. These results contribute to the neurobiological evidence on the association between MDD and alexithymia. Additionally, they suggest that reduced white matter integrity in the regions constitutes a principal pathophysiology underlying impaired emotional recognition and description in MDD.
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Affiliation(s)
- Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea
| | - Byoungjoo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea
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Genetic Specificity of Hippocampal Subfield Volumes, Relative to Hippocampal Formation, Identified in 2148 Young Adult Twins and Siblings. Twin Res Hum Genet 2022; 25:129-139. [PMID: 35791873 DOI: 10.1017/thg.2022.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The hippocampus is a complex brain structure with key roles in cognitive and emotional processing and with subregion abnormalities associated with a range of disorders and psychopathologies. Here we combine data from two large independent young adult twin/sibling cohorts to obtain the most accurate estimates to date of genetic covariation between hippocampal subfield volumes and the hippocampus as a single volume. The combined sample included 2148 individuals, comprising 1073 individuals from 627 families (mean age = 22.3 years) from the Queensland Twin IMaging (QTIM) Study, and 1075 individuals from 454 families (mean age = 28.8 years) from the Human Connectome Project (HCP). Hippocampal subfields were segmented using FreeSurfer version 6.0 (CA4 and dentate gyrus were phenotypically and genetically indistinguishable and were summed to a single volume). Multivariate twin modeling was conducted in OpenMx to decompose variance into genetic and environmental sources. Bivariate analyses of hippocampal formation and each subfield volume showed that 10%-72% of subfield genetic variance was independent of the hippocampal formation, with greatest specificity found for the smaller volumes; for example, CA2/3 with 42% of genetic variance being independent of the hippocampus; fissure (63%); fimbria (72%); hippocampus-amygdala transition area (41%); parasubiculum (62%). In terms of genetic influence, whole hippocampal volume is a good proxy for the largest hippocampal subfields, but a poor substitute for the smaller subfields. Additive genetic sources accounted for 49%-77% of total variance for each of the subfields in the combined sample multivariate analysis. In addition, the multivariate analyses were sufficiently powered to identify common environmental influences (replicated in QTIM and HCP for the molecular layer and CA4/dentate gyrus, and accounting for 7%-16% of total variance for 8 of 10 subfields in the combined sample). This provides the clearest indication yet from a twin study that factors such as home environment may influence hippocampal volumes (albeit, with caveats).
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Norkeviciene A, Gocentiene R, Sestokaite A, Sabaliauskaite R, Dabkeviciene D, Jarmalaite S, Bulotiene G. A Systematic Review of Candidate Genes for Major Depression. Medicina (B Aires) 2022; 58:medicina58020285. [PMID: 35208605 PMCID: PMC8875554 DOI: 10.3390/medicina58020285] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/07/2022] [Accepted: 02/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: The aim of this systematic review was to analyse which candidate genes were examined in genetic association studies and their association with major depressive disorder (MDD). Materials and Methods: We searched PUBMED for relevant studies published between 1 July 2012 and 31 March 2019, using combinations of keywords: “major depressive disorder” OR “major depression” AND “gene candidate”, “major depressive disorder” OR “major depression” AND “polymorphism”. Synthesis focused on assessing the likelihood of bias and investigating factors that may explain differences between the results of studies. For selected gene list after literature overview, functional enrichment analysis and gene ontology term enrichment analysis were conducted. Results: 141 studies were included in the qualitative review of gene association studies focusing on MDD. 86 studies declared significant results (p < 0.05) for 172 SNPs in 85 genes. The 13 SNPs associations were confirmed by at least two studies. The 18 genetic polymorphism associations were confirmed in both the previous and this systematic analysis by at least one study. The majority of the studies (68.79 %) did not use or describe power analysis, which may have had an impact over the significance of their results. Almost a third of studies (N = 54) were conducted in Chinese Han population. Conclusion: Unfortunately, there is still insufficient data on the links between genes and depression. Despite the reported genetic associations, most studies were lacking in statistical power analysis, research samples were small, and most gene polymorphisms have been confirmed in only one study. Further genetic research with larger research samples is needed to discern whether the relationship is random or causal. Summations: This systematic review had summarized all reported genetic associations and has highlighted the genetic associations that have been replicated. Limitations: Unfortunately, most gene polymorphisms have been confirmed only once, so further studies are warranted for replicating these genetic associations. In addition, most studies included a small number of MDD cases that could be indicative for false positive. Considering that polymorphism loci and associations with MDD is also vastly dependent on interpersonal variation, extensive studies of gene interaction pathways could provide more answers to the complexity of MDD.
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Affiliation(s)
- Audrone Norkeviciene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
| | - Romena Gocentiene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
| | - Agne Sestokaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Rasa Sabaliauskaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Daiva Dabkeviciene
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Sonata Jarmalaite
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
| | - Giedre Bulotiene
- Clinic of Psychiatry, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Ciurlionio Str. 21/27, LT-03101 Vilnius, Lithuania; (A.N.); (R.G.)
- National Cancer Institute, Santariskiu Str. 1, LT-08660 Vilnius, Lithuania; (A.S.); (R.S.); (D.D.); (S.J.)
- Correspondence:
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Vilor-Tejedor N, Evans TE, Adams HH, González-de-Echávarri JM, Molinuevo JL, Guigo R, Gispert JD, Operto G. Genetic Influences on Hippocampal Subfields: An Emerging Area of Neuroscience Research. NEUROLOGY-GENETICS 2021; 7:e591. [PMID: 34124350 PMCID: PMC8192059 DOI: 10.1212/nxg.0000000000000591] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 03/03/2021] [Indexed: 11/15/2022]
Abstract
There is clear evidence that hippocampal subfield volumes have partly distinct genetic determinants associated with specific biological processes. The identification of genetic correlates of hippocampal subfield volumes may help to elucidate the mechanisms of neurologic diseases, as well as aging and neurodegenerative processes. However, despite the emerging interest in this area of research, the current knowledge of the genetic architecture of hippocampal subfields has not yet been consolidated. We aimed to provide a review of the current evidence from genetic studies of hippocampal subfields, highlighting current priorities and upcoming challenges. The limited number of studies investigating the influential genetic effects on hippocampal subfields, a lack of replicated results and longitudinal designs, and modest sample sizes combined with insufficient standardization of protocols are identified as the most pressing challenges in this emerging area of research.
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Affiliation(s)
- Natalia Vilor-Tejedor
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
| | - Tavia E Evans
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
| | - Hieab H Adams
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
| | - José María González-de-Echávarri
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
| | - Roderic Guigo
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC) (N.V.-T., J.M.G.-d-E., J.L.M., J.D.G., G.O.), Pasqual Maragall Foundation; Centre for Genomic Regulation (CRG) (N.V.-T., R.G.), the Barcelona Institute for Science and Technology, Spain; Department of Clinical Genetics (N.V.-T., T.E.E., H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; Universitat Pompeu Fabra (N.V.-T., J.M.G.--E., J.L.M., R.G., J.D.G.), Barcelona, Spain; Department of Radiology and Nuclear Medicine (H.H.A.), Erasmus Medical Center, Rotterdam, the Netherlands; IMIM (Hospital del Mar Medical Research Institute) (J.L.M., J.D.G., G.O.), Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) (J.L.M., G.O.); and Centro de Investigación Biomédica en Red Bioingeniería (J.D.G.), Biomateriales y Nanomedicina, Madrid, Spain
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Lin YH, Dhanaraj V, Mackenzie AE, Young IM, Tanglay O, Briggs RG, Chakraborty AR, Hormovas J, Fonseka RD, Kim SJ, Yeung JT, Teo C, Sughrue ME. Anatomy and White Matter Connections of the Parahippocampal Gyrus. World Neurosurg 2021; 148:e218-e226. [PMID: 33412321 DOI: 10.1016/j.wneu.2020.12.136] [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: 08/20/2020] [Revised: 12/23/2020] [Accepted: 12/24/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND The parahippocampal gyrus is understood to have a role in high cognitive functions including memory encoding and retrieval and visuospatial processing. A detailed understanding of the exact location and nature of associated white tracts could significantly improve postoperative morbidity related to declining capacity. Through diffusion tensor imaging-based fiber tracking validated by gross anatomic dissection as ground truth, we have characterized these connections based on relationships to other well-known structures. METHODS Diffusion imaging from the Human Connectome Project for 10 healthy adult controls was used for tractography analysis. We evaluated the parahippocampal gyrus as a whole based on connectivity with other regions. All parahippocampal gyrus tracts were mapped in both hemispheres, and a lateralization index was calculated with resultant tract volumes. RESULTS We identified 2 connections of the parahippocampal gyrus: inferior longitudinal fasciculus and cingulum. Lateralization of the cingulum was detected (P < 0.05). CONCLUSIONS The parahippocampal gyrus is an important center for memory processing. Subtle differences in executive functioning following surgery for limbic tumors may be better understood in the context of the fiber-bundle anatomy highlighted by this study.
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Affiliation(s)
- Yueh-Hsin Lin
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Vukshitha Dhanaraj
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Alana E Mackenzie
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | | | - Onur Tanglay
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Robert G Briggs
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Arpan R Chakraborty
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Jorge Hormovas
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - R Dineth Fonseka
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Sihyong J Kim
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Jacky T Yeung
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Charles Teo
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia
| | - Michael E Sughrue
- Centre for Minimally Invasive Neurosurgery Prince of Wales Private Hospital, Sydney, Australia.
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10
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Sämann PG, Iglesias JE, Gutman B, Grotegerd D, Leenings R, Flint C, Dannlowski U, Clarke‐Rubright EK, Morey RA, Erp TG, Whelan CD, Han LKM, Velzen LS, Cao B, Augustinack JC, Thompson PM, Jahanshad N, Schmaal L. FreeSurfer
‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for
ENIGMA
studies and other collaborative efforts. Hum Brain Mapp 2020; 43:207-233. [PMID: 33368865 PMCID: PMC8805696 DOI: 10.1002/hbm.25326] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/26/2020] [Accepted: 12/13/2020] [Indexed: 12/11/2022] Open
Abstract
Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013–12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi‐)genetics. Finally, we highlight points where FreeSurfer‐based hippocampal subfield studies may be optimized.
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Affiliation(s)
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing University College London London UK
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
- Computer Science and AI Laboratory (CSAIL), Massachusetts Institute of Technology (MIT) Cambridge Massachusetts US
| | - Boris Gutman
- Department of Biomedical Engineering Illinois Institute of Technology Chicago USA
| | | | - Ramona Leenings
- Department of Psychiatry University of Münster Münster Germany
| | - Claas Flint
- Department of Psychiatry University of Münster Münster Germany
- Department of Mathematics and Computer Science University of Münster Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Emily K. Clarke‐Rubright
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Rajendra A. Morey
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Theo G.M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine California USA
- Center for the Neurobiology of Learning and Memory University of California Irvine Irvine California USA
| | - Christopher D. Whelan
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Laura K. M. Han
- Department of Psychiatry Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Laura S. Velzen
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry University of Alberta Edmonton Canada
| | - Jean C. Augustinack
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
| | - Paul M. Thompson
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Neda Jahanshad
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Lianne Schmaal
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
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11
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Zhou ZG, Chen JB, Zhang RX, Ye L, Wang JC, Pan YX, Wang XH, Li WX, Zhang YJ, Xu L, Chen MS. Tescalcin is an unfavorable prognosis factor that regulats cell proliferation and survival in hepatocellular carcinoma patients. Cancer Commun (Lond) 2020; 40:355-369. [PMID: 32609436 PMCID: PMC7427307 DOI: 10.1002/cac2.12069] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/28/2020] [Accepted: 06/08/2020] [Indexed: 12/11/2022] Open
Abstract
Background Hepatocellular carcinoma (HCC) is a major health problem and a primary cause of cancer‐related death worldwide. Although great advances have achieved recently by large‐scale high‐throughput analysis, the precise molecular mechanism underlying HCC progression remains to be clearly elucidated. We investigated the relationship between Tescalcin (TESC), a candidate oncogene, and clinicopathological features of HCC patients and explored the role of TECS in HCC development. Methods To identify new genes involved in HCC development, we analyzed The Cancer Genome Atlas liver cancer database, and TESC was selected for further investigation. HCC tissue microarray analysis for TESC and its association with clinicopathological features were performed to investigate its clinical significance. TESC was knocked down by using short‐hairpin RNAs. Cell proliferation was analyzed by WST‐1 assay and cell counting. Cell apoptosis was tested by fluorescence‐activated cell sorting. A subcutaneous xenograft tumor model in nude mice was established to determine the in vivo function of TESC. Affymetrix microarray was used to identify its molecular mechanism. Results TESC was significantly increased in HCC tissues compared with the adjacent normal liver tissues. High expression of TESC was detected in 61 of 172 HCC patients by tissue microarray. Large tumor (> 5 cm) and elevated total bilirubin were associated with high TESC expression (both P < 0.050). In multivariate analysis, TESC was identified as an independent prognostic factor for short overall survival of HCC patients. TESC knockdown impaired HCC cell growth in vitro and in vivo. TESC knockdown significantly increased cell apoptosis in HCC cell lines. Furthermore, Affymetrix microarray analysis revealed that TESC knockdown inhibited tumor proliferation‐related pathways while activated cell death‐related pathways. Conclusion TESC was identified as an independent prognostic factor for short overall survival of HCC patients, and was critical for HCC cell proliferation and survival.
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Affiliation(s)
- Zhong-Guo Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Jin-Bin Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Rong-Xin Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Colorectal Cancer, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Ling Ye
- Department of Oncology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, 510630, P. R. China
| | - Jun-Cheng Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Yang-Xun Pan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Xiao-Hui Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Wen-Xuan Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Yao-Jun Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Li Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
| | - Min-Shan Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China.,Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, P. R. China
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12
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Goltermann J, Opel N, Redlich R, Repple J, Kaehler C, Grotegerd D, Dohm K, Leehr EJ, Böhnlein J, Förster K, Meinert S, Enneking V, Emden D, Leenings R, Winter NR, Hahn T, Mikhail S, Jansen A, Krug A, Nenadić I, Rietschel M, Witt SH, Heilmann-Heimbach S, Hoffmann P, Forstner AJ, Nöthen MM, Baune BT, Kircher T, Dannlowski U. Replication of a hippocampus specific effect of the tescalcin regulating variant rs7294919 on gray matter structure. Eur Neuropsychopharmacol 2020; 36:10-17. [PMID: 32451266 DOI: 10.1016/j.euroneuro.2020.03.021] [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: 07/06/2019] [Revised: 03/09/2020] [Accepted: 03/27/2020] [Indexed: 10/24/2022]
Abstract
While the hippocampus remains a region of high interest for neuropsychiatric research, the precise contributors to hippocampal morphometry are still not well understood. We and others previously reported a hippocampus specific effect of a tescalcin gene (TESC) regulating single nucleotide polymorphism (rs7294919) on gray matter volume. Here we aimed to replicate and extend these findings. Two complementary morphometric approaches (voxel based morphometry (VBM) and automated volumetric segmentation) were applied in a well-powered cohort from the Marburg-Münster Affective Disorder Cohort Study (MACS) including N=1137 participants (n=636 healthy controls, n=501 depressed patients). rs7294919 homozygous T-allele genotype was significantly associated with lower hippocampal gray matter density as well as with reduced hippocampal volume. Exploratory whole brain VBM analyses revealed no further associations with gray matter volume outside the hippocampus. No interaction effects of rs7294919 with depression nor with childhood trauma on hippocampal morphometry could be detected. Hippocampal subfield analyses revealed similar effects of rs7294919 in all hippocampal subfields. In sum, our results replicate a hippocampus specific effect of rs7294919 on brain structure. Due to the robust evidence for a pronounced association between the reported polymorphism and hippocampal morphometry, future research should consider investigating the potential clinical and functional relevance of the reported association.
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Affiliation(s)
- Janik Goltermann
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany; Interdisciplinary Centre for Clinical Research (IZKF), University of Mü̈nster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Claas Kaehler
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany; Department of Mathematics and Computer Science, University of Münster, Germany
| | - Dominik Grotegerd
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Dohm
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Elisabeth J Leehr
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Joscha Böhnlein
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Förster
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Daniel Emden
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Ramona Leenings
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils R Winter
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Sami Mikhail
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry, University of Marburg, Germany
| | - Axel Krug
- Department of Psychiatry, University of Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry, University of Marburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland; Centre for Human Genetics, University of Marburg, Marburg, Germany; Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany; Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Tilo Kircher
- Department of Psychiatry, University of Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany.
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13
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Wheater ENW, Stoye DQ, Cox SR, Wardlaw JM, Drake AJ, Bastin ME, Boardman JP. DNA methylation and brain structure and function across the life course: A systematic review. Neurosci Biobehav Rev 2020; 113:133-156. [PMID: 32151655 PMCID: PMC7237884 DOI: 10.1016/j.neubiorev.2020.03.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 03/03/2020] [Accepted: 03/05/2020] [Indexed: 01/01/2023]
Abstract
MRI has enhanced our capacity to understand variations in brain structure and function conferred by the genome. We identified 60 studies that report associations between DNA methylation (DNAm) and human brain structure/function. Forty-three studies measured candidate loci DNAm; seventeen measured epigenome-wide DNAm. MRI features included region-of-interest and whole-brain structural, diffusion and functional imaging features. The studies report DNAm-MRI associations for: neurodevelopment and neurodevelopmental disorders; major depression and suicidality; alcohol use disorder; schizophrenia and psychosis; ageing, stroke, ataxia and neurodegeneration; post-traumatic stress disorder; and socio-emotional processing. Consistency between MRI features and differential DNAm is modest. Sources of bias: variable inclusion of comparator groups; different surrogate tissues used; variation in DNAm measurement methods; lack of control for genotype and cell-type composition; and variations in image processing. Knowledge of MRI features associated with differential DNAm may improve understanding of the role of DNAm in brain health and disease, but caution is required because conventions for linking DNAm and MRI data are not established, and clinical and methodological heterogeneity in existing literature is substantial.
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Affiliation(s)
- Emily N W Wheater
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, United Kingdom
| | - David Q Stoye
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, United Kingdom
| | - Simon R Cox
- Department of Psychology, University of Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom
| | - Amanda J Drake
- University/British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom
| | - James P Boardman
- Medical Research Council Centre for Reproductive Health, University of Edinburgh, United Kingdom; Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom.
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14
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Delvecchio G, Pigoni A, Bauer IE, Soares JC, Brambilla P. Disease-discordant twin structural MRI studies on affective disorders. Neurosci Biobehav Rev 2019; 108:459-471. [PMID: 31790709 DOI: 10.1016/j.neubiorev.2019.11.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 10/24/2019] [Accepted: 11/26/2019] [Indexed: 01/01/2023]
Abstract
Magnetic resonance imaging (MRI) studies have identified neural structures implicated in the pathophysiology of mood disorders, especially bipolar disorder (BD) and major depressive disorder (MDD). However, the role of genetic and environmental influences on such brain deficits is still unclear. In this context, the present review summarizes the current evidence from structural MRI and Diffusion Tensor Imaging (DTI) studies on twin samples concordant or discordant for BD or MDD, with the aim of clarifying the role of genetic and environmental risk factors on brain alterations. Although the results showed a complex interplay between gene and environment in affective disorders, the evidence seem to underline that both genetic and environmental risk factors have an impact on brain areas and vulnerability to MDD and BD. However, the precise mechanism of action and the interaction between these factors still needs to be unveiled. Therefore, future larger studies on concordant or discordant twins should be encouraged, because this population provides a unique opportunity to probe separately genetic and environmental markers of disease vulnerability.
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Affiliation(s)
- G Delvecchio
- University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy
| | - A Pigoni
- University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy; Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, Milan, Italy
| | - I E Bauer
- 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
| | - J 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
| | - P Brambilla
- University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy; Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, Milan, Italy.
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15
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Han KM, Kim A, Kang W, Kang Y, Kang J, Won E, Tae WS, Ham BJ. Hippocampal subfield volumes in major depressive disorder and bipolar disorder. Eur Psychiatry 2019; 57:70-77. [PMID: 30721801 DOI: 10.1016/j.eurpsy.2019.01.016] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 01/19/2019] [Accepted: 01/21/2019] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The hippocampus is not a uniform structure, but rather consists of multiple, functionally specialized subfields. Few studies have explored hippocampal subfield volume difference in the same sample of major depressive disorder (MDD) and bipolar disorder (BD) cases. We aimed to investigate the difference of hippocampal subfield volume between patents with MDD and BD and healthy controls (HCs). METHODS A total of 102 MDD and 55 BD patients and 135 HCs were recruited and underwent T1-weighted image. Hippocampal subfield volume was calculated by automated segmentation and volumetric procedures developed by Iglesias et al. and implemented in FreeSurfer. Volume differences between the groups were analyzed using the analysis of covariance and controlling for age, sex, and total intracranial cavity volume. RESULTS Patients with MDD had significantly reduced volumes in the bilateral cornu ammonis 1 (CA1), CA4, the granule cell layer (GCL), molecular layer (ML), whole hippocampus, the left CA2/3, and right presubiclum and subiculum. Patients with BD had significantly reduced volumes in the right CA1, GCL, and the whole hippocampus as compared to HCs. No significant volume differences were observed between the MDD and BD groups. Illness duration was negatively correlated with volumes of the left CA1, CA4, ML, presubiculum, subiculum, and the whole hippocampus in patients with BD. CONCLUSION We observed hippocampal subfield volume reductions in both MDD and BD, a finding which more prominent in MDD. The inverse correlation between BD illness duration and hippocampal subfield volume may evidence the neuroprogressive nature of BD.
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Affiliation(s)
- 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
| | - 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.
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16
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Zhang HF, Mellor D, Peng DH. Neuroimaging genomic studies in major depressive disorder: A systematic review. CNS Neurosci Ther 2018; 24:1020-1036. [PMID: 29476595 DOI: 10.1111/cns.12829] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 01/19/2018] [Accepted: 01/27/2018] [Indexed: 01/06/2023] Open
Abstract
Genetic-neuroimaging studies could identify new potential endophenotypes of major depressive disorder (MDD). Morphological and functional alterations may be attributable to genetic factors that regulate neurogenesis and neurodegeneration. Given that the association between gene polymorphisms and brain morphology or function has varied across studies, this systematic review aims at evaluating and summarizing all available genetic-neuroimaging studies. Twenty-eight gene variants were evaluated in 64 studies by structural or functional magnetic resonance imaging. Significant genetic-neuroimaging associations were found in monoaminergic genes, BDNF genes, glutamatergic genes, HPA axis genes, and the other common genes, which were consistent with common hypotheses of the pathogenesis of MDD.
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Affiliation(s)
- Hui-Feng Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - David Mellor
- School of Psychology, Deakin University, Melbourne, Australia
| | - Dai-Hui Peng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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