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Irala D, Wang S, Sakers K, Nagendren L, Ulloa-Severino FP, Bindu DS, Eroglu C. Astrocyte-Secreted Neurocan Controls Inhibitory Synapse Formation and Function. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.03.535448. [PMID: 37066164 PMCID: PMC10104008 DOI: 10.1101/2023.04.03.535448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Astrocytes strongly promote the formation and maturation of synapses by secreted proteins. To date, several astrocyte-secreted synaptogenic proteins controlling different stages of excitatory synapse development have been identified. However, the identities of astrocytic signals that induce inhibitory synapse formation remain elusive. Here, through a combination of in vitro and in vivo experiments, we identified Neurocan as an astrocyte-secreted inhibitory synaptogenic protein. Neurocan is a chondroitin sulfate proteoglycan that is best known as a protein localized to the perineuronal nets. However, Neurocan is cleaved into two after secretion from astrocytes. We found that the resulting N- and C-terminal fragments have distinct localizations in the extracellular matrix. While the N-terminal fragment remains associated with perineuronal nets, the Neurocan C-terminal fragment localizes to synapses and specifically controls cortical inhibitory synapse formation and function. Neurocan knockout mice lacking the whole protein or only its C-terminal synaptogenic region have reduced inhibitory synapse numbers and function. Through super-resolution microscopy and in vivo proximity labeling by secreted TurboID, we discovered that the synaptogenic domain of Neurocan localizes to somatostatin-positive inhibitory synapses and strongly regulates their formation. Together, our results unveil a mechanism through which astrocytes control circuit-specific inhibitory synapse development in the mammalian brain.
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2
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Chemistry and Function of Glycosaminoglycans in the Nervous System. ADVANCES IN NEUROBIOLOGY 2023; 29:117-162. [DOI: 10.1007/978-3-031-12390-0_5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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3
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Brain gyrification in bipolar disorder: a systematic review of neuroimaging studies. Brain Imaging Behav 2022; 16:2768-2784. [PMID: 36042153 DOI: 10.1007/s11682-022-00713-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2022] [Indexed: 11/02/2022]
Abstract
Bipolar disorder (BD) is a severe mental illness with a strong genetic component. Genetic variations have been involved in the risk of this disorder, including those mediating brain function and neurodevelopment. Early neurodevelopment and neuroprogression processes could be reflected in brain gyrification patterns and help optimize the prediction and diagnosis of such disorders that is often delayed. Previous neuroimaging studies using this measure in patients with bipolar disorder revealed controversial results. This systematic review aimed to summarize available neuroimaging investigations on gyrification in BD compared to healthy controls (HC) and/or other psychiatric groups. Fourteen studies including 733 patients with BD, 585 patients with schizophrenia (SCZ), 90 with schizoaffective disorder (SZA), and 1380 healthy subjects were identified. Overall, a heterogeneous pattern of gyrification emerged between patients with BD and HC. Interestingly, increased gyrification or no differences were also observed in patients with BD compared to those with the schizophrenia-spectrum disorders. Furthermore, relatives of patients with BD showed lower or no differences in gyrification compared to healthy subjects without a family history of affective illness. Differences in the design and in methodological approaches could have contributed to the heterogeneity of the findings. The current review supports an altered brain gyrification pattern that underlies the pathophysiology of BD spanning large anatomical and functional neural networks, associated with altered cognitive functioning, difficulties in processing and affective regulation, and clinical symptoms. Longitudinal studies are needed to test different bipolar phenotypes and pharmacological effects on gyrification.
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4
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Pantazopoulos H, Katsel P, Haroutunian V, Chelini G, Klengel T, Berretta S. Molecular signature of extracellular matrix pathology in schizophrenia. Eur J Neurosci 2021; 53:3960-3987. [PMID: 33070392 PMCID: PMC8359380 DOI: 10.1111/ejn.15009] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 10/04/2020] [Indexed: 02/06/2023]
Abstract
Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region- and sex-specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects (n = 14/region) and subjects with SZ (n = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region-, sex- and age-specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large-scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ.
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Affiliation(s)
- Harry Pantazopoulos
- Department of Neurobiology and Anatomical SciencesUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Pavel Katsel
- Department of PsychiatryThe Icahn School of Medicine at Mount SinaiNew YorkNYUSA
- Department of NeuroscienceThe Icahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mental Illness Research Education ClinicalCenters of Excellence (MIRECC)JJ Peters VA Medical CenterBronxNYUSA
| | - Vahram Haroutunian
- Department of PsychiatryThe Icahn School of Medicine at Mount SinaiNew YorkNYUSA
- Department of NeuroscienceThe Icahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mental Illness Research Education ClinicalCenters of Excellence (MIRECC)JJ Peters VA Medical CenterBronxNYUSA
| | - Gabriele Chelini
- Translational Neuroscience LaboratoryMclean HospitalBelmontMAUSA
- Department of PsychiatryHarvard Medical SchoolBostonMAUSA
| | - Torsten Klengel
- Department of PsychiatryHarvard Medical SchoolBostonMAUSA
- Translational Molecular Genomics LaboratoryMclean HospitalBelmontMAUSA
- Department of PsychiatryUniversity Medical Center GöttingenGöttingenGermany
| | - Sabina Berretta
- Translational Neuroscience LaboratoryMclean HospitalBelmontMAUSA
- Department of PsychiatryHarvard Medical SchoolBostonMAUSA
- Program in NeuroscienceHarvard Medical SchoolBostonMAUSA
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5
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Li W, Cai X, Li HJ, Song M, Zhang CY, Yang Y, Zhang L, Zhao L, Liu W, Wang L, Shao M, Zhang Y, Zhang C, Cai J, Zhou DS, Li X, Hui L, Jia QF, Qu N, Zhong BL, Zhang SF, Chen J, Xia B, Li Y, Song X, Fan W, Tang W, Tang W, Tang J, Chen X, Yue W, Zhang D, Fang Y, Xiao X, Li M, Lv L, Chang H. Independent replications and integrative analyses confirm TRANK1 as a susceptibility gene for bipolar disorder. Neuropsychopharmacology 2021; 46:1103-1112. [PMID: 32791513 PMCID: PMC8114920 DOI: 10.1038/s41386-020-00788-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/02/2020] [Accepted: 07/27/2020] [Indexed: 02/07/2023]
Abstract
Genetic analyses for bipolar disorder (BD) have achieved prominent success in Europeans in recent years, whereas its genetic basis in other populations remains relatively less understood. We herein report that the leading risk locus for BD in European genome-wide association studies (GWAS), the single-nucleotide polymorphism (SNP) rs9834970 near TRANK1 at 3p22 region, is also genome-wide significantly associated with BD in a meta-analysis of four independent East Asian samples including 5748 cases and 65,361 controls (p = 2.27 × 10-8, odds ratio = 1.136). Expression quantitative trait loci (eQTL) analyses and summary data-based Mendelian randomization (SMR) analyses in multiple human brain samples suggest that lower TRANK1 mRNA expression is a principal BD risk factor explaining its genetic risk signals at 3p22. We also identified another SNP rs4789 in the 3' untranslated region (3'UTR) of TRANK1 showing stronger eQTL associations as well as genome-wide significant association with BD. Despite the relatively unclear neuronal function of TRANK1, our mRNA expression analyses in the human brains and in rat primary cortical neurons reveal that genes highly correlated with TRANK1 are significantly enriched in the biological processes related to dendritic spine, synaptic plasticity, axon guidance and circadian entrainment, and are also more likely to exhibit strong associations in psychiatric GWAS (e.g., the CACNA1C gene). Overall, our results support that TRANK1 is a potential BD risk gene. Further studies elucidating its roles in this illness are needed.
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Affiliation(s)
- Wenqiang Li
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Xin Cai
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Hui-Juan Li
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Meng Song
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Chu-Yi Zhang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Yongfeng Yang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Luwen Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Lijuan Zhao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Weipeng Liu
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Lu Wang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan China
| | - Minglong Shao
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Yan Zhang
- grid.412990.70000 0004 1808 322XHenan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China ,grid.412990.70000 0004 1808 322XHenan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan China
| | - Chen Zhang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Cai
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dong-Sheng Zhou
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Xingxing Li
- grid.452715.00000 0004 1782 599XDepartment of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang China
| | - Li Hui
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Qiu-Fang Jia
- grid.263761.70000 0001 0198 0694Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Na Qu
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bao-Liang Zhong
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Shu-Fang Zhang
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Jing Chen
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Bin Xia
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Yi Li
- grid.33199.310000 0004 0368 7223Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.503241.10000 0004 1760 9015Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei China
| | - Xueqin Song
- grid.412633.1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Weixing Fan
- Jinhua Second Hospital, Jinhua, Zhejiang China
| | - Wei Tang
- grid.268099.c0000 0001 0348 3990Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang China
| | - Wenxin Tang
- grid.469604.90000 0004 1765 5222Hangzhou Seventh People’s Hospital, Hangzhou, Zhejiang China
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang China ,Key Laboratory of Medical Neurobiology of Zhejiang Province, Hangzhou, Zhejiang China
| | - Xiaogang Chen
- grid.216417.70000 0001 0379 7164Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan China ,National Clinical Research Center for Mental Disorders, Changsha, Hunan China ,National Technology Institute of Mental Disorders, Changsha, Hunan China ,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan China ,grid.489086.bMental Health Institute of Central South University, Changsha, Hunan China ,Hunan Medical Center for Mental Health, Changsha, Hunan China
| | - Weihua Yue
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Dai Zhang
- grid.11135.370000 0001 2256 9319Peking University Sixth Hospital/Institute of Mental Health, Beijing, China ,grid.459847.30000 0004 1798 0615NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China ,grid.11135.370000 0001 2256 9319Peking-Tsinghua Joint Center for Life Sciences and PKU IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Yiru Fang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Xiao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China. .,KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China. .,Henan Province People's Hospital, Zhengzhou, Henan, China.
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
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6
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Assmann A, Richter A, Schütze H, Soch J, Barman A, Behnisch G, Knopf L, Raschick M, Schult A, Wüstenberg T, Behr J, Düzel E, Seidenbecher CI, Schott BH. Neurocan genome-wide psychiatric risk variant affects explicit memory performance and hippocampal function in healthy humans. Eur J Neurosci 2020; 53:3942-3959. [PMID: 32583466 DOI: 10.1111/ejn.14872] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 06/04/2020] [Accepted: 06/15/2020] [Indexed: 12/26/2022]
Abstract
Alterations of the brain extracellular matrix (ECM) can perturb the structure and function of brain networks like the hippocampus, a key region in human memory that is commonly affected in psychiatric disorders. Here, we investigated the potential effects of a genome-wide psychiatric risk variant in the NCAN gene encoding the ECM proteoglycan neurocan (rs1064395) on memory performance, hippocampal function and cortical morphology in young, healthy volunteers. We assessed verbal memory performance in two cohorts (N = 572, 302) and found reduced recall performance in risk allele (A) carriers across both cohorts. In 117 participants, we performed functional magnetic resonance imaging using a novelty-encoding task with visual scenes. Risk allele carriers showed higher false alarm rates during recognition, accompanied by inefficiently increased left hippocampal activation. To assess effects of rs1064395 on brain morphology, we performed voxel-based morphometry in 420 participants from four independent cohorts and found lower grey matter density in the ventrolateral and rostral prefrontal cortex of risk allele carriers. In silico eQTL analysis revealed that rs1064395 SNP is linked not only to increased prefrontal expression of the NCAN gene itself, but also of the neighbouring HAPLN4 gene, suggesting a more complex effect of the SNP on ECM composition. Our results suggest that the NCAN rs1064395 A allele is associated with lower hippocampus-dependent memory function, variation of prefrontal cortex structure and ECM composition. Considering the well-documented hippocampal and prefrontal dysfunction in bipolar disorder and schizophrenia, our results may reflect an intermediate phenotype by which NCAN rs1064395 contributes to disease risk.
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Affiliation(s)
- Anne Assmann
- Leibniz Institute for Neurobiology, Magdeburg, Germany.,Department of Neurology, Otto von Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | - Anni Richter
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Hartmut Schütze
- German Center for Neurodegenerative Diseases, Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Magdeburg, Germany
| | - Joram Soch
- German Center for Neurodegenerative Diseases, Göttingen, Germany.,Bernstein Center for Computational Neuroscience, Humboldt University, Berlin, Germany
| | | | | | - Lea Knopf
- Leibniz Institute for Neurobiology, Magdeburg, Germany.,Department of Neurology, Otto von Guericke University, Magdeburg, Germany
| | - Matthias Raschick
- Leibniz Institute for Neurobiology, Magdeburg, Germany.,Department of Neurology, Otto von Guericke University, Magdeburg, Germany
| | - Annika Schult
- Leibniz Institute for Neurobiology, Magdeburg, Germany.,Department of Neurology, Otto von Guericke University, Magdeburg, Germany
| | - Torsten Wüstenberg
- Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany.,Department of Clinical Psychology and Psychotherapy, Institute of Psychology, University of Heidelberg, Heidelberg, Germany
| | - Joachim Behr
- Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany.,Department of Psychiatry and Psychotherapy, Medical School Brandenburg, Neuruppin, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases, Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Magdeburg, Germany.,Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Constanze I Seidenbecher
- Leibniz Institute for Neurobiology, Magdeburg, Germany.,Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Björn H Schott
- Leibniz Institute for Neurobiology, Magdeburg, Germany.,German Center for Neurodegenerative Diseases, Göttingen, Germany.,Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany.,Department of Psychiatry and Psychotherapy, University Medicine Göttingen, Germany
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7
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Kathuria A, Lopez-Lengowski K, Vater M, McPhie D, Cohen BM, Karmacharya R. Transcriptome analysis and functional characterization of cerebral organoids in bipolar disorder. Genome Med 2020; 12:34. [PMID: 32306996 PMCID: PMC7168850 DOI: 10.1186/s13073-020-00733-6] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 04/02/2020] [Indexed: 02/06/2023] Open
Abstract
Background Reprogramming human induced pluripotent stem cells (iPSCs) from somatic cells and generating three-dimensional brain organoids from these iPSCs provide access to live human neuronal tissue with disease-specific genetic backgrounds. Methods Cerebral organoids were generated from iPSCs of eight bipolar disorder (BPI) patients and eight healthy control individuals. RNA-seq experiments were undertaken using RNA isolated from the cerebral organoids. Functional activity in the cerebral organoids was studied using microelectrode arrays. Results RNA-seq data comparing gene expression profiles in the cerebral organoids showed downregulation of pathways involved in cell adhesion, neurodevelopment, and synaptic biology in bipolar disorder along with upregulation of genes involved in immune signaling. The central hub in the network analysis was neurocan (NCAN), which is located in a locus with evidence for genome-wide significant association in BPI. Gene ontology analyses suggested deficits related to endoplasmic reticulum biology in BPI, which was supported by cellular characterization of ER–mitochondria interactions. Functional studies with microelectrode arrays revealed specific deficits in response to stimulation and depolarization in BPI cerebral organoids. Conclusions Our studies in cerebral organoids from bipolar disorder showed dysregulation in genes involved in cell adhesion, immune signaling, and endoplasmic reticulum biology; implicated a central role for the GWAS hit NCAN in the biology of BPI; and showed evidence of deficits in neurotransmission.
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Affiliation(s)
- Annie Kathuria
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kara Lopez-Lengowski
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Magdalena Vater
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Donna McPhie
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Bruce M Cohen
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Rakesh Karmacharya
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Chemical Biology Program, Broad Institute of MIT & Harvard, Cambridge, MA, USA. .,Department of Psychiatry, Harvard Medical School, Boston, MA, USA. .,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA. .,Program in Neuroscience, Harvard University, Cambridge, MA, USA. .,Program in Chemical Biology, Harvard University, Cambridge, MA, USA. .,Harvard Stem Cell Institute, Cambridge, MA, USA.
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8
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Xie X, Meng H, Wu H, Hou F, Chen Y, Zhou Y, Xue Q, Zhang J, Gong J, Li L, Song R. Integrative analyses indicate an association between ITIH3 polymorphisms with autism spectrum disorder. Sci Rep 2020; 10:5223. [PMID: 32251353 PMCID: PMC7089985 DOI: 10.1038/s41598-020-62189-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/24/2020] [Indexed: 12/18/2022] Open
Abstract
It is challenge to pinpoint the functional variants among numerous genetic variants. Investigating the spatial dynamics of the human brain transcriptome for genes and exploring the expression quantitative trait loci data may provide the potential direction to identify the functional variants among autism spectrum disorders (ASD) patients. In order to explore the association of ITIH3 with ASD, the present study included three components: identifying the spatial-temporal expression of ITIH3 in the developing human brain using the expression data from the Allen Institute for Brain Science; examining the cis-acting regulatory effect of SNPs on the ITIH3 expression using UK Brain Expression Consortium database; validating the effect of identified SNPs using a case-control study with samples of 602 cases and 604 controls. The public expression data showed that ITIH3 may have a role in the development of human brain and suggested a cis-eQTL effect for rs2535629 and rs3617 on ITIH3 in the hippocampus. Genetic analysis of the above two SNPs suggested that the over-dominant model of rs2535629 was significantly associated with decreased risk of ASD. Convergent lines of evidence supported ITIH3 rs25352629 as a susceptibility variant for ASD.
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Affiliation(s)
- Xinyan Xie
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Heng Meng
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Hao Wu
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fang Hou
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China
| | - Yanlin Chen
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China
| | - Yu Zhou
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qi Xue
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA
| | - Jianhua Gong
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China
| | - Li Li
- Maternity and Children Health Care Hospital of Luohu District, Shenzhen, 518019, China.
| | - Ranran Song
- Department of Maternal and Child Health and MOE (Ministry of Education) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Li HJ, Qu N, Hui L, Cai X, Zhang CY, Zhong BL, Zhang SF, Chen J, Xia B, Wang L, Jia QF, Li W, Chang H, Xiao X, Li M, Li Y. Further confirmation of netrin 1 receptor (DCC) as a depression risk gene via integrations of multi-omics data. Transl Psychiatry 2020; 10:98. [PMID: 32184385 PMCID: PMC7078234 DOI: 10.1038/s41398-020-0777-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 02/21/2020] [Accepted: 03/03/2020] [Indexed: 12/15/2022] Open
Abstract
Genome-wide association studies (GWAS) of major depression and its relevant biological phenotypes have been extensively conducted in large samples, and transcriptome-wide analyses in the tissues of brain regions relevant to pathogenesis of depression, e.g., dorsolateral prefrontal cortex (DLPFC), have also been widely performed recently. Integrating these multi-omics data will enable unveiling of depression risk genes and even underlying pathological mechanisms. Here, we employ summary data-based Mendelian randomization (SMR) and integrative risk gene selector (iRIGS) approaches to integrate multi-omics data from GWAS, DLPFC expression quantitative trait loci (eQTL) analyses and enhancer-promoter physical link studies to prioritize high-confidence risk genes for depression, followed by independent replications across distinct populations. These integrative analyses identify multiple high-confidence depression risk genes, and numerous lines of evidence supporting pivotal roles of the netrin 1 receptor (DCC) gene in this illness across different populations. Our subsequent explorative analyses further suggest that DCC significantly predicts neuroticism, well-being spectrum, cognitive function and putamen structure in general populations. Gene expression correlation and pathway analyses in DLPFC further show that DCC potentially participates in the biological processes and pathways underlying synaptic plasticity, axon guidance, circadian entrainment, as well as learning and long-term potentiation. These results are in agreement with the recent findings of this gene in neurodevelopment and psychiatric disorders, and we thus further confirm that DCC is an important susceptibility gene for depression, and might be a potential target for new antidepressants.
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Affiliation(s)
- Hui-Juan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Na Qu
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Li Hui
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Bao-Liang Zhong
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Shu-Fang Zhang
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Jing Chen
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Bin Xia
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Qiu-Fang Jia
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Wei Li
- Department of Blood Transfusion, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Yi Li
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China.
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Li W, Yang Y, Luo B, Zhang Y, Song X, Li M, Lv L. Association of SYNE1 locus with bipolar disorder in Chinese population. Hereditas 2019; 156:19. [PMID: 31236099 PMCID: PMC6580462 DOI: 10.1186/s41065-019-0095-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 06/11/2019] [Indexed: 01/08/2023] Open
Abstract
Objectives Genome-wide association studies (GWAS) suggest that rs9371601 in the SYNE1 gene is a risk SNP for bipolar disorder (BPD) in populations of European ancestry, but further replication analyses across distinct populations are needed. Methods We analyzed the association between rs9371601 and BPD in a Han Chinese sample of 1315 BPD cases and 1956 controls. Results We observed a significant association between rs9371601 and BPD in Han Chinese (p = 0.0121, OR = 0.859). However, further examinations revealed that the Europeans and Chinese subjects had different BPD risk alleles at the locus. We then found that rs9371601 had different “minor alleles” and distinct linkage disequilibrium (LD) patterns surrounding itself in Europeans and Han Chinese, which might be the explanation of the observed inconsistent association signals for this locus in different populations. Our explorative analyses of the biological impact of rs9371601 suggested that this SNP was significantly associated with the methylation of a CpG site (cg01844274, p = 5.05⨯10− 6) within SYNE1 in human dorsal lateral prefrontal cortex (DLPFC) tissues. Conclusions Our data confirms the association between rs9371601 and BPD, but the underlying biological mechanism remains to be fully elucidated in further studies. Electronic supplementary material The online version of this article (10.1186/s41065-019-0095-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wenqiang Li
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Yongfeng Yang
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Binbin Luo
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Yan Zhang
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China
| | - Xueqin Song
- 3The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan China
| | - Ming Li
- 4Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Luxian Lv
- 1Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China.,2Henan Key Lab of Biological Psychiatry, Xinxiang Medical University, Xinxiang, Henan China.,5Henan Province People's Hospital, Zhengzhou, Henan China
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