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Ren D, Luo B, Chen P, Yu L, Xiong M, Fu Z, Zhou T, Chen WB, Fei E. DiGeorge syndrome critical region gene 2 (DGCR2), a schizophrenia risk gene, regulates dendritic spine development through cell adhesion. Cell Biosci 2023; 13:134. [PMID: 37480133 PMCID: PMC10362570 DOI: 10.1186/s13578-023-01081-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 07/06/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Dendritic spines are the sites of excitatory synapses on pyramidal neurons, and their development is crucial for neural circuits and brain functions. The spine shape, size, or number alterations are associated with neurological disorders, including schizophrenia. DiGeorge syndrome critical region gene 2 (DGCR2) is one of the deleted genes within the 22q11.2 deletion syndrome (22q11DS), which is a high risk for developing schizophrenia. DGCR2 expression was reduced in schizophrenics. However, the pathophysiological mechanism of DGCR2 in schizophrenia or 22q11DS is still unclear. RESULTS Here, we report that DGCR2 expression was increased during the neurodevelopmental period and enriched in the postsynaptic densities (PSDs). DGCR2-deficient hippocampal neurons formed fewer spines. In agreement, glutamatergic transmission and synaptic plasticity were decreased in the hippocampus of DGCR2-deficient mice. Further molecular studies showed that the extracellular domain (ECD) of DGCR2 is responsible for its transcellular interaction with cell adhesion molecule Neurexin1 (NRXN1) and spine development. Consequently, abnormal behaviors, like anxiety, were observed in DGCR2-deficient mice. CONCLUSIONS These observations indicate that DGCR2 is a novel cell adhesion molecule required for spine development and synaptic plasticity, and its deficiency induces abnormal behaviors in mice. This study provides a potential pathophysiological mechanism of DGCR2 in 22q11DS and related mental disorders.
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Affiliation(s)
- Dongyan Ren
- School of Life Sciences, Nanchang University, Nanchang, 330031, China
- Institute of Life Science, Nanchang University, Nanchang, 330031, China
| | - Bin Luo
- Institute of Life Science, Nanchang University, Nanchang, 330031, China
| | - Peng Chen
- Institute of Life Science, Nanchang University, Nanchang, 330031, China
| | - Lulu Yu
- Institute of Life Science, Nanchang University, Nanchang, 330031, China
| | - Mingtao Xiong
- Institute of Life Science, Nanchang University, Nanchang, 330031, China
| | - Zhiqiang Fu
- Institute of Life Science, Nanchang University, Nanchang, 330031, China
| | - Tian Zhou
- School of Basic Medical Sciences, Nanchang University, Nanchang, 330031, China
| | - Wen-Bing Chen
- Institute of Life Science, Nanchang University, Nanchang, 330031, China.
| | - Erkang Fei
- School of Life Sciences, Nanchang University, Nanchang, 330031, China.
- Institute of Life Science, Nanchang University, Nanchang, 330031, China.
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Jia R, Yuan X, Zhang X, Song P, Han S, Wang S, Li Y, Zhang S, Zhao X, Zhang Y, Cheng J, Song X. Oxidative stress impairs cognitive function by affecting hippocampal fimbria volume in drug-naïve, first-episode schizophrenia. Front Neurosci 2023; 17:1153439. [PMID: 37139526 PMCID: PMC10149877 DOI: 10.3389/fnins.2023.1153439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/28/2023] [Indexed: 05/05/2023] Open
Abstract
Objective The aim of the present study was to explore influencing factors of cognitive impairments and their interrelationships in drug-naïve, first-episode schizophrenia (SCZ). Methods Patients with drug naïve, first episode SCZ and healthy controls (HCs) were enrolled. Cognitive function was assessed by the MATRICS Consensus Cognitive Battery (MCCB). Serum levels of oxidative stress indices, including folate, superoxide dismutase (SOD), uric acid (UA) and homocysteine (Hcy), were determined after an overnight fast. Hippocampal subfield volumes were measured using FreeSurfer. Mediation models were conducted using the SPSS PROCESS v3.4 macro. A false discovery rate (FDR) correction was applied for multiple comparisons. Results Sixty-seven patients with SCZ and 65 HCs were enrolled in our study. The patient group had significantly lower serum levels of folate and SOD and higher serum levels of HCY compared with the HCs (all p < 0.05). The patient group had a significantly smaller volume of the whole hippocampus than the HC group (p < 0.05). We also found significant volume differences between the two groups in the following subfields: CA1, molecular layer, GC-ML-DG and fimbria (all p < 0.05, uncorrected). The partial correlation analysis controlling for age and sex showed that the fimbria volume in the patient group was significantly positively associated with NAB scores (r = 0.382, pFDR = 0.024); serum levels of SOD in the patient group showed a significantly positive correlation with fimbria volume (r = 0.360, pFDR = 0.036). Mediation analyses controlling for age and sex showed that the serum levels of SOD in patients with SCZ had significant indirect effects on the NAB scores which were mediated by the fimbria volume [indirect effect = 0.0565, 95% CI from the bootstrap test excluding zero (0.0066 to 0.0891)]. Conclusion Oxidative stress, a reduction in hippocampal subfield volumes and cognitive impairments occur in early SCZ. Oxidative stress impairs cognitive function by affecting hippocampal subfield volumes.
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Affiliation(s)
- Rufei Jia
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Xiuxia Yuan
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Xiaoyun Zhang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Peilun Song
- School of Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuying Wang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Yajun Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Siwei Zhang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Xinyi Zhao
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Yu Zhang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Jingliang Cheng, ;10
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
- *Correspondence: Xueqin Song,
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Zhao Y, Zhang K, Pan H, Wang Y, Zhou X, Xiang Y, Xu Q, Sun Q, Tan J, Yan X, Li J, Guo J, Tang B, Liu Z. Genetic Analysis of Six Transmembrane Protein Family Genes in Parkinson’s Disease in a Large Chinese Cohort. Front Aging Neurosci 2022; 14:889057. [PMID: 35860667 PMCID: PMC9289399 DOI: 10.3389/fnagi.2022.889057] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Parkinson’s disease (PD) is a neurodegenerative disorder with the manifestation of motor symptoms and non-motor symptoms. Previous studies have indicated the role of several transmembrane (TMEM) protein family genes in PD pathogenesis. Materials and Methods In order to better investigate the genetic role of PD-related TMEM protein family genes in PD, including TMEM230, TMEM59, TMEM108, TMEM163, TMEM175, and TMEM229B, 1,917 sporadic early onset PD (sEOPD) or familial PD (FPD) patients and 1,652 healthy controls were analyzed by whole-exome sequencing (WES) while 1,962 sporadic late-onset PD (sLOPD) and 1,279 healthy controls were analyzed by whole-genome sequencing (WGS). Rare and common variants for each gene were included in the analysis. Results One hundred rare damaging or loss of function variants of six genes were found at the threshold of MAF < 0.1%. Three rare Dmis variants of TMEM230 were specifically identified in PD. Rare missense variants of TMEM59 were statistically significantly associated with PD in the WES cohort, indicating the role of TMEM59 in FPD and sEOPD. Rare missense variants of TMEM108 were suggestively associated with PD in the WGS cohort, indicating the potential role of TMEM108 in sLOPD. The rare variant of the other three genes and common variants of six genes were not significantly associated with PD. Conclusion We performed a large case-control study to systematically investigate the role of several PD-related TMEM protein family genes in PD. We identified three PD-specific variants in TMEM230, the significant association of TMEM59 with FPD, and sEOPD and the suggestive association of TMEM108 with sLOPD.
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Affiliation(s)
- Yuwen Zhao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Kailin Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Hongxu Pan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yige Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoxia Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Yaqin Xiang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qian Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qiying Sun
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Jieqiong Tan
- Centre for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Xinxiang Yan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jinchen Li
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
- Centre for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
| | - Jifeng Guo
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Centre for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Centre for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
| | - Zhenhua Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Centre for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China
- *Correspondence: Zhenhua Liu,
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Phenotypes, mechanisms and therapeutics: insights from bipolar disorder GWAS findings. Mol Psychiatry 2022; 27:2927-2939. [PMID: 35351989 DOI: 10.1038/s41380-022-01523-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 03/02/2022] [Accepted: 03/10/2022] [Indexed: 12/25/2022]
Abstract
Genome-wide association studies (GWAS) have reported substantial genomic loci significantly associated with clinical risk of bipolar disorder (BD), and studies combining techniques of genetics, neuroscience, neuroimaging, and pharmacology are believed to help tackle clinical problems (e.g., identifying novel therapeutic targets). However, translating findings of psychiatric genetics into biological mechanisms underlying BD pathogenesis remains less successful. Biological impacts of majority of BD GWAS risk loci are obscure, and the involvement of many GWAS risk genes in this illness is yet to be investigated. It is thus necessary to review the progress of applying BD GWAS risk genes in the research and intervention of the disorder. A comprehensive literature search found that a number of such risk genes had been investigated in cellular or animal models, even before they were highlighted in BD GWAS. Intriguingly, manipulation of many BD risk genes (e.g., ANK3, CACNA1C, CACNA1B, HOMER1, KCNB1, MCHR1, NCAN, SHANK2 etc.) resulted in altered murine behaviors largely restoring BD clinical manifestations, including mania-like symptoms such as hyperactivity, anxiolytic-like behavior, as well as antidepressant-like behavior, and these abnormalities could be attenuated by mood stabilizers. In addition to recapitulating phenotypic characteristics of BD, some GWAS risk genes further provided clues for the neurobiology of this illness, such as aberrant activation and functional connectivity of brain areas in the limbic system, and modulated dendritic spine morphogenesis as well as synaptic plasticity and transmission. Therefore, BD GWAS risk genes are undoubtedly pivotal resources for modeling this illness, and might be translational therapeutic targets in the future clinical management of BD. We discuss both promising prospects and cautions in utilizing the bulk of useful resources generated by GWAS studies. Systematic integrations of findings from genetic and neuroscience studies are called for to promote our understanding and intervention of BD.
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Wu Y, Zhong Y, Liao X, Miao X, Yu J, Lai X, Zhang Y, Ma C, Pan H, Wang S. Transmembrane protein 108 inhibits the proliferation and myelination of oligodendrocyte lineage cells in the corpus callosum. Mol Brain 2022; 15:33. [PMID: 35410424 PMCID: PMC8996597 DOI: 10.1186/s13041-022-00918-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 03/31/2022] [Indexed: 11/22/2022] Open
Abstract
Background Abnormal white matter is a common neurobiological change in bipolar disorder, and dysregulation of myelination in oligodendrocytes (OLs) is the cause. Transmembrane protein 108 (Tmem108), as a susceptible gene of bipolar disorder, is expressed higher in OL lineage cells than any other lineage cells in the central nervous system. Moreover, Tmem108 mutant mice exhibit mania-like behaviors, belonging to one of the signs of bipolar disorder. However, it is unknown whether Tmem108 regulates the myelination of the OLs. Results Tmem108 expression in the corpus callosum decreased with the development, and OL progenitor cell proliferation and OL myelination were enhanced in the mutant mice. Moreover, the mutant mice exhibited mania-like behavior after acute restraint stress and were susceptible to drug-induced epilepsy. Conclusions Tmem108 inhibited OL progenitor cell proliferation and mitigated OL maturation in the corpus callosum, which may also provide a new role of Tmem108 involving bipolar disorder pathogenesis. Supplementary Information The online version contains supplementary material available at 10.1186/s13041-022-00918-7.
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Kortleve D, Coelho RM, Hammerl D, Debets R. Cancer germline antigens and tumor-agnostic CD8+ T cell evasion. Trends Immunol 2022; 43:391-403. [DOI: 10.1016/j.it.2022.03.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/09/2022] [Accepted: 03/10/2022] [Indexed: 12/31/2022]
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Yang Z, Li X, Luo W, Wu Y, Tang T, Wang Y. The Involvement of Long Non-coding RNA and Messenger RNA Based Molecular Networks and Pathways in the Subacute Phase of Traumatic Brain Injury in Adult Mice. Front Neuroinform 2022; 16:794342. [PMID: 35311004 PMCID: PMC8931714 DOI: 10.3389/fninf.2022.794342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 01/26/2022] [Indexed: 12/24/2022] Open
Abstract
Traumatic brain injury (TBI) is a complex injury with a multi-faceted recovery process. Long non-coding RNAs (lncRNAs) are demonstrated to be involved in central nervous system (CNS) disorders. However, the roles of lncRNAs in long-term neurological deficits post-TBI are poorly understood. The present study depicted the microarray’s lncRNA and messenger RNA (mRNA) profiles at 14 days in TBI mice hippocampi. LncRNA and mRNA microarray was used to identify differentially expressed genes. Quantitative real-time polymerase chain reaction (qRT-PCR) was employed to validate the microarray results. Bioinformatics analysis [including Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, lncRNA-mRNA co-expression network, and lncRNA-miRNA-mRNA network] were applied to explore the underlying mechanism. A total of 264 differentially expressed lncRNAs and 232 expressed mRNAs were identified (fold change > 1.5 and P-value < 0.05). Altered genes were enriched in inflammation, immune response, blood–brain barrier, glutamatergic neurological effects, and neuroactive ligand-receptor, which may be associated with TBI-induced pathophysiologic changes in the long-term neurological deficits. The lncRNAs-mRNAs co-expression network was generated for 74 lncRNA-mRNA pairs, most of which are positive correlations. The lncRNA-miRNA-mRNA interaction network included 12 lncRNAs, 59 miRNAs, and 25 mRNAs. Numerous significantly altered lncRNAs and mRNAs in mice hippocampi were enriched in inflammation and immune response. Furthermore, these dysregulated lncRNAs and mRNAs may be promising therapeutic targets to overcome obstacles in long-term recovery following TBI.
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Affiliation(s)
- Zhaoyu Yang
- Institute of Integrative Medicine, Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xuexuan Li
- Institute of Integrative Medicine, Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Weikang Luo
- Institute of Integrative Medicine, Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yao Wu
- Institute of Integrative Medicine, Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Tao Tang
- Institute of Integrative Medicine, Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Tao Tang,
| | - Yang Wang
- Institute of Integrative Medicine, Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Yang Wang,
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Pagin M, Pernebrink M, Pitasi M, Malighetti F, Ngan CY, Ottolenghi S, Pavesi G, Cantù C, Nicolis SK. FOS Rescues Neuronal Differentiation of Sox2-Deleted Neural Stem Cells by Genome-Wide Regulation of Common SOX2 and AP1(FOS-JUN) Target Genes. Cells 2021; 10:cells10071757. [PMID: 34359927 PMCID: PMC8303191 DOI: 10.3390/cells10071757] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/05/2021] [Accepted: 07/07/2021] [Indexed: 11/16/2022] Open
Abstract
The transcription factor SOX2 is important for brain development and for neural stem cells (NSC) maintenance. Sox2-deleted (Sox2-del) NSC from neonatal mouse brain are lost after few passages in culture. Two highly expressed genes, Fos and Socs3, are strongly downregulated in Sox2-del NSC; we previously showed that Fos or Socs3 overexpression by lentiviral transduction fully rescues NSC's long-term maintenance in culture. Sox2-del NSC are severely defective in neuronal production when induced to differentiate. NSC rescued by Sox2 reintroduction correctly differentiate into neurons. Similarly, Fos transduction rescues normal or even increased numbers of immature neurons expressing beta-tubulinIII, but not more differentiated markers (MAP2). Additionally, many cells with both beta-tubulinIII and GFAP expression appear, indicating that FOS stimulates the initial differentiation of a "mixed" neuronal/glial progenitor. The unexpected rescue by FOS suggested that FOS, a SOX2 transcriptional target, might act on neuronal genes, together with SOX2. CUT&RUN analysis to detect genome-wide binding of SOX2, FOS, and JUN (the AP1 complex) revealed that a high proportion of genes expressed in NSC are bound by both SOX2 and AP1. Downregulated genes in Sox2-del NSC are highly enriched in genes that are also expressed in neurons, and a high proportion of the "neuronal" genes are bound by both SOX2 and AP1.
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Affiliation(s)
- Miriam Pagin
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy; (M.P.); (M.P.); (F.M.); (S.O.)
| | - Mattias Pernebrink
- Wallenberg Centre for Molecular Medicine, Linköping University, SE-581 83 Linköping, Sweden;
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology, Faculty of Medicine and Health Sciences, Linköping University, SE-581 83 Linköping, Sweden
| | - Mattia Pitasi
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy; (M.P.); (M.P.); (F.M.); (S.O.)
| | - Federica Malighetti
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy; (M.P.); (M.P.); (F.M.); (S.O.)
| | - Chew-Yee Ngan
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA;
| | - Sergio Ottolenghi
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy; (M.P.); (M.P.); (F.M.); (S.O.)
| | - Giulio Pavesi
- Department of Biosciences, University of Milano, Via Celoria 26, 20134 Milano, Italy;
| | - Claudio Cantù
- Wallenberg Centre for Molecular Medicine, Linköping University, SE-581 83 Linköping, Sweden;
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology, Faculty of Medicine and Health Sciences, Linköping University, SE-581 83 Linköping, Sweden
- Correspondence: (C.C.); (S.K.N.)
| | - Silvia K. Nicolis
- Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milano, Italy; (M.P.); (M.P.); (F.M.); (S.O.)
- Correspondence: (C.C.); (S.K.N.)
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Liu G, Peng J, Liao Z, Locascio JJ, Corvol JC, Zhu F, Dong X, Maple-Grødem J, Campbell MC, Elbaz A, Lesage S, Brice A, Mangone G, Growdon JH, Hung AY, Schwarzschild MA, Hayes MT, Wills AM, Herrington TM, Ravina B, Shoulson I, Taba P, Kõks S, Beach TG, Cormier-Dequaire F, Alves G, Tysnes OB, Perlmutter JS, Heutink P, Amr SS, van Hilten JJ, Kasten M, Mollenhauer B, Trenkwalder C, Klein C, Barker RA, Williams-Gray CH, Marinus J, Scherzer CR. Genome-wide survival study identifies a novel synaptic locus and polygenic score for cognitive progression in Parkinson's disease. Nat Genet 2021; 53:787-793. [PMID: 33958783 PMCID: PMC8459648 DOI: 10.1038/s41588-021-00847-6] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 03/16/2021] [Indexed: 02/02/2023]
Abstract
A key driver of patients' well-being and clinical trials for Parkinson's disease (PD) is the course that the disease takes over time (progression and prognosis). To assess how genetic variation influences the progression of PD over time to dementia, a major determinant for quality of life, we performed a longitudinal genome-wide survival study of 11.2 million variants in 3,821 patients with PD over 31,053 visits. We discover RIMS2 as a progression locus and confirm this in a replicate population (hazard ratio (HR) = 4.77, P = 2.78 × 10-11), identify suggestive evidence for TMEM108 (HR = 2.86, P = 2.09 × 10-8) and WWOX (HR = 2.12, P = 2.37 × 10-8) as progression loci, and confirm associations for GBA (HR = 1.93, P = 0.0002) and APOE (HR = 1.48, P = 0.001). Polygenic progression scores exhibit a substantial aggregate association with dementia risk, while polygenic susceptibility scores are not predictive. This study identifies a novel synaptic locus and polygenic score for cognitive disease progression in PD and proposes diverging genetic architectures of progression and susceptibility.
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Affiliation(s)
- Ganqiang Liu
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Precision Neurology Program of Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- School of Medicine, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jiajie Peng
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Precision Neurology Program of Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, China
| | - Zhixiang Liao
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Precision Neurology Program of Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph J Locascio
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Precision Neurology Program of Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jean-Christophe Corvol
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Institut National de Santé et en Recherche Médicale, Centre National de Recherche Scientifique, Assistance Publique Hôpitaux de Paris, Département de Neurologie et de Génétique, Centre d'Investigation Clinique Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Frank Zhu
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Precision Neurology Program of Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Xianjun Dong
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Precision Neurology Program of Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jodi Maple-Grødem
- The Norwegian Centre for Movement Disorders, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway
| | - Meghan C Campbell
- Departments of Neurology and Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexis Elbaz
- Paris-Saclay University, Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Inserm, Gustave Roussy, 'Exposome and heredity' team, Centre de researche en épidémiologie et santé des populations (CESP), Villejuif, France
| | - Suzanne Lesage
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Institut National de Santé et en Recherche Médicale, Centre National de Recherche Scientifique, Assistance Publique Hôpitaux de Paris, Département de Neurologie et de Génétique, Centre d'Investigation Clinique Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Alexis Brice
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Institut National de Santé et en Recherche Médicale, Centre National de Recherche Scientifique, Assistance Publique Hôpitaux de Paris, Département de Neurologie et de Génétique, Centre d'Investigation Clinique Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Graziella Mangone
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Institut National de Santé et en Recherche Médicale, Centre National de Recherche Scientifique, Assistance Publique Hôpitaux de Paris, Département de Neurologie et de Génétique, Centre d'Investigation Clinique Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - John H Growdon
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Albert Y Hung
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael A Schwarzschild
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael T Hayes
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Anne-Marie Wills
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Todd M Herrington
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Ira Shoulson
- Department of Neurology, Center for Health + Technology, University of Rochester, Rochester, NY, USA
| | - Pille Taba
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia
| | - Sulev Kõks
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Perth, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Perth, Western Australia, Australia
| | | | - Florence Cormier-Dequaire
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Institut National de Santé et en Recherche Médicale, Centre National de Recherche Scientifique, Assistance Publique Hôpitaux de Paris, Département de Neurologie et de Génétique, Centre d'Investigation Clinique Neurosciences, Hôpital Pitié-Salpêtrière, Paris, France
| | - Guido Alves
- The Norwegian Centre for Movement Disorders, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - Ole-Bjørn Tysnes
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Joel S Perlmutter
- Departments of Neurology and Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Program of Physical Therapy and Program of Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
| | - Peter Heutink
- German Center for Neurodegenerative diseases (DZNE), Tübingen, Germany
| | - Sami S Amr
- Translational Genomics Core of Partners HealthCare Personalized Medicine, Cambridge, MA, USA
| | - Jacobus J van Hilten
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Meike Kasten
- Institute of Neurogenetics, University of Lübeck, University Hospital of Schleswig-Holstein, Lübeck, Germany
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
- Paracelsus-Elena-Klinik, Kassel, Germany
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck, University Hospital of Schleswig-Holstein, Lübeck, Germany
| | - Roger A Barker
- John Van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Caroline H Williams-Gray
- John Van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Johan Marinus
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Clemens R Scherzer
- Center for Advanced Parkinson Research, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
- Precision Neurology Program of Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA.
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UBQLN2-HSP70 axis reduces poly-Gly-Ala aggregates and alleviates behavioral defects in the C9ORF72 animal model. Neuron 2021; 109:1949-1962.e6. [PMID: 33991504 DOI: 10.1016/j.neuron.2021.04.023] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 01/09/2021] [Accepted: 04/23/2021] [Indexed: 12/12/2022]
Abstract
Expansion of a hexanucleotide repeat GGGGCC (G4C2) in the intron of the C9ORF72 gene is the most common cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) (C9-ALS/FTD). Transcripts carrying G4C2 repeat expansions generate neurotoxic dipeptide repeat (DPR) proteins, including poly-Gly-Ala (poly-GA), which tends to form protein aggregates. Here, we demonstrate that UBQLN2, another ALS/FTD risk factor, is recruited to reduce poly-GA aggregates and alleviate poly-GA-induced neurotoxicity. UBQLN2 could recognize HSP70 ubiquitination, which facilitates the UBQLN2-HSP70-GA complex formation and promotes poly-GA degradation. ALS/FTD-related UBQLN2 mutants fail to bind HSP70 and clear poly-GA aggregates. Disruption of the interaction between UBQLN2 and HSP70 inhibits poly-GA aggregation in C9-ALS/FTD iPSC-derived neurons. Finally, enhancing HSP70 by the chemical compound 17AAG at the adult stage mitigates behavioral defects in poly-GA animals. Our findings suggest a critical role of the UBQLN2-HSP70 axis in protein aggregate clearance in C9-ALS/FTD.
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11
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Chen W, Luo B, Gao N, Li H, Wang H, Li L, Cui W, Zhang L, Sun D, Liu F, Dong Z, Ren X, Zhang H, Su H, Xiong WC, Mei L. Neddylation stabilizes Nav1.1 to maintain interneuron excitability and prevent seizures in murine epilepsy models. J Clin Invest 2021; 131:136956. [PMID: 33651714 DOI: 10.1172/jci136956] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 02/23/2021] [Indexed: 12/19/2022] Open
Abstract
The excitability of interneurons requires Nav1.1, the α subunit of the voltage-gated sodium channel. Nav1.1 deficiency and mutations reduce interneuron excitability, a major pathological mechanism for epilepsy syndromes. However, the regulatory mechanisms of Nav1.1 expression remain unclear. Here, we provide evidence that neddylation is critical to Nav1.1 stability. Mutant mice lacking Nae1, an obligatory component of the E1 ligase for neddylation, in parvalbumin-positive interneurons (PVINs) exhibited spontaneous epileptic seizures and premature death. Electrophysiological studies indicate that Nae1 deletion reduced PVIN excitability and GABA release and consequently increased the network excitability of pyramidal neurons (PyNs). Further analysis revealed a reduction in sodium-current density, not a change in channel property, in mutant PVINs and decreased Nav1.1 protein levels. These results suggest that insufficient neddylation in PVINs reduces Nav1.1 stability and thus the excitability of PVINs; the ensuing increased PyN activity causes seizures in mice. Consistently, Nav1.1 was found reduced by proteomic analysis that revealed abnormality in synapses and metabolic pathways. Our findings describe a role of neddylation in maintaining Nav1.1 stability for PVIN excitability and reveal what we believe is a new mechanism in the pathogenesis of epilepsy.
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Affiliation(s)
- Wenbing Chen
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Bin Luo
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Nannan Gao
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Haiwen Li
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Hongsheng Wang
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Lei Li
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.,School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Wanpeng Cui
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Lei Zhang
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Dong Sun
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Fang Liu
- Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Zhaoqi Dong
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xiao Ren
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Hongsheng Zhang
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Huabo Su
- Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Wen-Cheng Xiong
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.,Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio, USA
| | - Lin Mei
- Department of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.,Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio, USA
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12
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Li HJ, Zhang C, Hui L, Zhou DS, Li Y, Zhang CY, Wang C, Wang L, Li W, Yang Y, Qu N, Tang J, He Y, Zhou J, Yang Z, Li X, Cai J, Yang L, Chen J, Fan W, Tang W, Tang W, Jia QF, Liu W, Zhuo C, Song X, Liu F, Bai Y, Zhong BL, Zhang SF, Chen J, Xia B, Lv L, Liu Z, Hu S, Li XY, Liu JW, Cai X, Yao YG, Zhang Y, Yan H, Chang S, Zhao JP, Yue WH, Luo XJ, Chen X, Xiao X, Fang Y, Li M. Novel Risk Loci Associated With Genetic Risk for Bipolar Disorder Among Han Chinese Individuals: A Genome-Wide Association Study and Meta-analysis. JAMA Psychiatry 2021; 78:320-330. [PMID: 33263727 PMCID: PMC7711567 DOI: 10.1001/jamapsychiatry.2020.3738] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE The genetic basis of bipolar disorder (BD) in Han Chinese individuals is not fully understood. OBJECTIVE To explore the genetic basis of BD in the Han Chinese population. DESIGN, SETTING, AND PARTICIPANTS A genome-wide association study (GWAS), followed by independent replication, was conducted to identify BD risk loci in Han Chinese individuals. Individuals with BD were diagnosed based on DSM-IV criteria and had no history of schizophrenia, mental retardation, or substance dependence; individuals without any personal or family history of mental illnesses, including BD, were included as control participants. In total, discovery samples from 1822 patients and 4650 control participants passed quality control for the GWAS analysis. Replication analyses of samples from 958 patients and 2050 control participants were conducted. Summary statistics from the European Psychiatric Genomics Consortium 2 (PGC2) BD GWAS (20 352 cases and 31 358 controls) were used for the trans-ancestry genetic correlation analysis, polygenetic risk score analysis, and meta-analysis to compare BD genetic risk between Han Chinese and European individuals. The study was performed in February 2020. MAIN OUTCOMES AND MEASURES Single-nucleotide variations with P < 5.00 × 10-8 were considered to show genome-wide significance of statistical association. RESULTS The Han Chinese discovery GWAS sample included 1822 cases (mean [SD] age, 35.43 [14.12] years; 838 [46%] male) and 4650 controls (mean [SD] age, 27.48 [5.97] years; 2465 [53%] male), and the replication sample included 958 cases (mean [SD] age, 37.82 [15.54] years; 412 [43%] male) and 2050 controls (mean [SD] age, 27.50 [6.00] years; 1189 [58%] male). A novel BD risk locus in Han Chinese individuals was found near the gene encoding transmembrane protein 108 (TMEM108, rs9863544; P = 2.49 × 10-8; odds ratio [OR], 0.650; 95% CI, 0.559-0.756), which is required for dendritic spine development and glutamatergic transmission in the dentate gyrus. Trans-ancestry genetic correlation estimation (ρge = 0.652, SE = 0.106; P = 7.30 × 10-10) and polygenetic risk score analyses (maximum liability-scaled Nagelkerke pseudo R2 = 1.27%; P = 1.30 × 10-19) showed evidence of shared BD genetic risk between Han Chinese and European populations, and meta-analysis identified 2 new GWAS risk loci near VRK2 (rs41335055; P = 4.98 × 10-9; OR, 0.849; 95% CI, 0.804-0.897) and RHEBL1 (rs7969091; P = 3.12 × 10-8; OR, 0.932; 95% CI, 0.909-0.956). CONCLUSIONS AND RELEVANCE This GWAS study identified several loci and genes involved in the heritable risk of BD, providing insights into its genetic architecture and biological basis.
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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
| | - Chen Zhang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Li Hui
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Dong-Sheng Zhou
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, 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
| | - 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
| | - Chuang Wang
- Department of Pharmacology and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, Zhejiang, 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
| | - Wenqiang Li
- 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
| | - Yongfeng Yang
- 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
| | - 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
| | - Jinsong Tang
- Department 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
| | - Ying He
- Department 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,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Jun Zhou
- Department 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,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Zihao Yang
- Department 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,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Xingxing Li
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Jun Cai
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Lu Yang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Chen
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weixing Fan
- Jinhua Second Hospital, Jinhua, Zhejiang, China
| | - Wei Tang
- Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Wenxin Tang
- Hangzhou Seventh People’s Hospital, Hangzhou, Zhejiang, China
| | - Qiu-Fang Jia
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Weiqing Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chuanjun Zhuo
- Department of Psychiatric-Neuroimaging-Genetics and Morbidity Laboratory (PNGC-Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Mental Health Teaching Hospital, Tianjin Medical University, Tianjin, China
| | - Xueqin Song
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fang Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yan Bai
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, 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
| | - 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
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital, Wuhan University, Wuhan, Hubei, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China,The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiao-Yan 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
| | - Jie-Wei Liu
- 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
| | - 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
| | - Yong-Gang Yao
- 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,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Yuyanan Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Suhua Chang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jing-Ping Zhao
- Department 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,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Wei-Hua Yue
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China,Peking-Tsinghua Joint Center for Life Sciences and Peking University (PKU) International Data Group (IDG)/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Xiong-Jian Luo
- 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,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xiaogang Chen
- Department 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,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, 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
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 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,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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13
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Yu J, Liao X, Zhong Y, Wu Y, Lai X, Jiao H, Yan M, Zhang Y, Ma C, Wang S. The Candidate Schizophrenia Risk Gene Tmem108 Regulates Glucose Metabolism Homeostasis. Front Endocrinol (Lausanne) 2021; 12:770145. [PMID: 34690937 PMCID: PMC8531597 DOI: 10.3389/fendo.2021.770145] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 09/23/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe psychiatric disease affected by genetic factors and environmental contributors, and premorbid abnormality of glucose metabolism is one of the SCZ characteristics supposed to contribute to the disease's pathological process. Transmembrane protein 108 (Tmem108) is a susceptible gene associated with multiple psychiatric diseases, including SCZ. Moreover, Tmem108 mutant mice exhibit SCZ-like behaviors in the measurement of sensorimotor gating. However, it is unknown whether Tmem108 regulates glucose metabolism homeostasis while it involves SCZ pathophysiological process. RESULTS In this research, we found that Tmem108 mutant mice exhibited glucose intolerance, insulin resistance, and disturbed metabolic homeostasis. Food and oxygen consumption decreased, and urine production increased, accompanied by weak fatigue resistance in the mutant mice. Simultaneously, the glucose metabolic pathway was enhanced, and lipid metabolism decreased in the mutant mice, consistent with the elevated respiratory exchange ratio (RER). Furthermore, metformin attenuated plasma glucose levels and improved sensorimotor gating in Tmem108 mutant mice. CONCLUSIONS Hyperglycemia occurs more often in SCZ patients than in control, implying that these two diseases share common biological mechanisms, here we demonstrate that the Tmem108 mutant may represent such a comorbid mechanism.
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Affiliation(s)
- Jianbo Yu
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Xufeng Liao
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Yanzi Zhong
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- Department of Biology, Senior Middle School of Yongfeng, Ji’an, China
| | - Yongqiang Wu
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Xinsheng Lai
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
| | - Huifeng Jiao
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
| | - Min Yan
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
| | - Yu Zhang
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
| | - Chaolin Ma
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
- *Correspondence: Chaolin Ma, ; Shunqi Wang,
| | - Shunqi Wang
- Laboratory of Synaptic Development and Plasticity, Institute of Life Science & School of Life Sciences, Nanchang University, Nanchang, China
- School of Basic Medical Sciences, Nanchang University, Nanchang, China
- *Correspondence: Chaolin Ma, ; Shunqi Wang,
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Deduction of Novel Genes Potentially Involved in the Effects of Very Low Dose Atropine (0.003%) Treatment on Corneal Epithelial Cells Using Next-Generation Sequencing and Bioinformatics Approaches. ACTA ACUST UNITED AC 2019; 55:medicina55090589. [PMID: 31540331 PMCID: PMC6780702 DOI: 10.3390/medicina55090589] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 09/06/2019] [Accepted: 09/10/2019] [Indexed: 12/19/2022]
Abstract
Background and Objectives: Atropine is a nonselective muscarinic antagonist which has been used to prevent worsening of myopia in children. Different concentrations of atropine were used for myopia, ranging from 0.01% to 1.0%. However, there are still potential toxicity of different doses of atropine to the cornea. Here, we present a study of investigating novel genes potentially involved in the effects of very low dose atropine treatment (0.003%) on corneal epithelial cells using next-generation sequencing (NGS) and bioinformatics approaches. Materials and Methods: Human corneal epithelial cells were treated with 0.003% atropine, cultured until confluence, and RNA extracted for differential expression profiling of mRNA and microRNA (miRNA) between control and atropine-treated corneal epithelial cells. The functional enrichment analysis for differentially expressed genes was performed using two bioinformatics databases, including Database for Annotation, Visualization and Integrated Discovery (DAVID) and Ingenuity® Pathway Analysis (IPA). In addition, potential miRNA-mRNA interactions involved in atropine-treated corneal epithelial cells were predicted and validated using different miRNA target prediction databases. Results: Our results showed 0.003% atropine might suppress the apoptosis of corneal epithelial cells, potentially through Ras and protein kinase A signaling pathways. We also validated the possible miRNA regulations by using TargetScan and miRDB databases. Hsa-miR-651-3p-EPHA7, hsa-miR-3148-TMEM108 and hsa-miR-874-5p-TBX6 were validated as possible miRNA regulations involved in corneal epithelial cells treated with 0.003% atropine. Conclusions: These findings may contribute novel insights into therapeutic strategies for treating cornea with 0.003% atropine.
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15
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Huang J, Li YQ, Wu CH, Zhang YL, Zhao ST, Chen YJ, Deng YH, Xuan A, Sun XD. The effect of ketogenic diet on behaviors and synaptic functions of naive mice. Brain Behav 2019; 9:e01246. [PMID: 30848079 PMCID: PMC6456772 DOI: 10.1002/brb3.1246] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 01/29/2019] [Accepted: 02/03/2019] [Indexed: 01/04/2023] Open
Abstract
INTRODUCTION Beyond its application as an epilepsy therapy, the ketogenic diet (KD) has been considered a potential treatment for a variety of other neurological and metabolic disorders. However, whether KD promotes functional restoration by reducing the pathological processes underlying individual diseases or through some independent mechanisms is not clear. METHODS In this study, we evaluated the effect of KD on a series of behaviors and synaptic functions of young adult naive mice. Wild-type C57BL/6J mice at age of 2-3 months were fed with control diet or KD for three months. Body weight and caloric intake were monitored throughout the experiments. We assessed behavioral performance with seizure induction, motor coordination and activity, anxiety level, spatial learning and memory, sociability, and depression. Synaptic transmission and long-term potentiation were also recorded. RESULTS KD-fed mice performed equivalent to control-diet-fed mice in the behavioral tests and electrophysiological assays except exhibiting slower weight gain and increased seizure threshold. CONCLUSIONS Our results contribute to the better understanding of effects of the KD on physiological behaviors and synaptic functions.
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Affiliation(s)
- Jie Huang
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuan-Quan Li
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Cui-Hong Wu
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yun-Long Zhang
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shen-Ting Zhao
- Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China
| | - Yong-Jun Chen
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yu-Hong Deng
- Department of Clinical Nutrition, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Aiguo Xuan
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiang-Dong Sun
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, School of Basic Medical Sciences, Institute of Neuroscience and Department of Neurology of the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Guangdong Province Key Laboratory of Psychiatric Disorders, Guangzhou, China
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16
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Yu Z, Lin D, Zhong Y, Luo B, Liu S, Fei E, Lai X, Zou S, Wang S. Transmembrane protein 108 involves in adult neurogenesis in the hippocampal dentate gyrus. Cell Biosci 2019; 9:9. [PMID: 30651970 PMCID: PMC6330398 DOI: 10.1186/s13578-019-0272-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 01/07/2019] [Indexed: 12/29/2022] Open
Abstract
Background Transmembrane protein 108 (Tmem108) is a risk gene of psychiatric diseases including schizophrenia, bipolar disorder and major depression disorder. However, the pathophysiological mechanisms of Tmem108 are largely unknown. Results Here we investigated the pathophysiological function of Tmem108 in the hippocampal dentate gyrus by using Tmem108 mutant mice. Tmem108 highly expressed in the dentate gyrus and CA3 of the hippocampus. Dentate gyrus is a brain region where adult neurogenesis occurs, and aberrant adult neurogenesis in dentate gyrus has been implicated in major depression disorder. Indeed, Tmem108 mutant mice had lower immobility than wild type mice in tail suspension test and forced swimming test. BrdU and anti-Ki67 antibody staining indicated that adult neurogenesis of the hippocampal dentate gyrus region decreased in Tmem108 mutant mice. qPCR results showed that expression of Axin2, DISC1 and β-Catenin, three dentate gyrus adult neurogenesis related genes in Wnt/β-Catenin signaling pathway, decreased in Tmem108 mutant mice. Furthermore, Tmem108 enhanced free β-Catenin level in dual luciferase assay. Conclusions Thus, our data suggest that Tmem108 increases adult neurogenesis and plays a complexity role in psychiatric disorders.
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Affiliation(s)
- Zheng Yu
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China.,2School of Basic Medical Science, Nanchang University, Nanchang, Jiangxi China
| | - Dong Lin
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China
| | - Yanzi Zhong
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China
| | - Bin Luo
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China
| | - Shengsheng Liu
- 3Queen Mary School, Nanchang University, Nanchang, Jiangxi China
| | - Erkang Fei
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China
| | - Xinsheng Lai
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China
| | - Suqi Zou
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China
| | - Shunqi Wang
- 1Laboratory of Synaptic Development and Plasticity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi China.,2School of Basic Medical Science, Nanchang University, Nanchang, Jiangxi China
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17
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Hui CW, St-Pierre A, El Hajj H, Remy Y, Hébert SS, Luheshi GN, Srivastava LK, Tremblay MÈ. Prenatal Immune Challenge in Mice Leads to Partly Sex-Dependent Behavioral, Microglial, and Molecular Abnormalities Associated with Schizophrenia. Front Mol Neurosci 2018; 11:13. [PMID: 29472840 PMCID: PMC5809492 DOI: 10.3389/fnmol.2018.00013] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 01/09/2018] [Indexed: 01/25/2023] Open
Abstract
Epidemiological studies revealed that environmental factors comprising prenatal infection are strongly linked to risk for later development of neuropsychiatric disorders such as schizophrenia. Considering strong sex differences in schizophrenia and its increased prevalence in males, we designed a methodological approach to investigate possible sex differences in pathophysiological mechanisms. Prenatal immune challenge was modeled by systemic administration of the viral mimic polyinosinic-polycytidylic acid (Poly I:C) to C57BL/6 mice at embryonic day 9.5. The consequences on behavior, gene expression, and microglia—brain immune cells that are critical for normal development—were characterized in male vs. female offspring at adulthood. The cerebral cortex, hippocampus, and cerebellum, regions where structural and functional alterations were mainly described in schizophrenia patients, were selected for cellular and molecular analyses. Confocal and electron microscopy revealed most pronounced differences in microglial distribution, arborization, cellular stress, and synaptic interactions in the hippocampus of male vs. female offspring exposed to Poly I:C. Sex differences in microglia were also measured under both steady-state and Poly I:C conditions. These microglial alterations were accompanied by behavioral impairment, affecting for instance sensorimotor gating, in males. Consistent with these results, increased expression of genes related to inflammation was measured in cerebral cortex and hippocampus of males challenged with Poly I:C. Overall, these findings suggest that schizophrenia's higher incidence in males might be associated, among other mechanisms, with an increased microglial reactivity to prenatal immune challenges, hence determining disease outcomes into adulthood.
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Affiliation(s)
- Chin W Hui
- Axe Neurosciences, CRCHU de Québec-Université Laval, Québec, QC, Canada
| | - Abygaël St-Pierre
- Axe Neurosciences, CRCHU de Québec-Université Laval, Québec, QC, Canada
| | - Hassan El Hajj
- Axe Neurosciences, CRCHU de Québec-Université Laval, Québec, QC, Canada
| | - Yvan Remy
- Axe Neurosciences, CRCHU de Québec-Université Laval, Québec, QC, Canada
| | - Sébastien S Hébert
- Axe Neurosciences, CRCHU de Québec-Université Laval, Québec, QC, Canada.,Département de Psychiatrie et Neurosciences, Université Laval, Québec, QC, Canada
| | - Giamal N Luheshi
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montréal, QC, Canada
| | - Lalit K Srivastava
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montréal, QC, Canada
| | - Marie-Ève Tremblay
- Axe Neurosciences, CRCHU de Québec-Université Laval, Québec, QC, Canada.,Département de Médecine Moléculaire, Université Laval, Québec, QC, Canada
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18
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Du Y, Xia W, Zhang J, Wan D, Yang Z, Li X. Comprehensive analysis of long noncoding RNA–mRNA co-expression patterns in thyroid cancer. MOLECULAR BIOSYSTEMS 2017; 13:2107-2115. [PMID: 28817151 DOI: 10.1039/c7mb00375g] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Novel molecular-targeted treatments show great prospects for radioiodine-refractory and surgically inoperable thyroid carcinomas.
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Affiliation(s)
- Yaying Du
- Department of Thyroid and Breast Surgery
- Tongji Hospital
- Tongji Medical College of Huazhong University of Science and Technology
- Wuhan
- P. R. China
| | - Wenfei Xia
- Department of Thyroid and Breast Surgery
- Tongji Hospital
- Tongji Medical College of Huazhong University of Science and Technology
- Wuhan
- P. R. China
| | - Jinjun Zhang
- Department of Thyroid and Breast Surgery
- Tongji Hospital
- Tongji Medical College of Huazhong University of Science and Technology
- Wuhan
- P. R. China
| | - Dongyi Wan
- Department of Obstetrics and Gynecology
- Tongji Hospital
- Tongji Medical College
- Huazhong University of Science and Technology
- Wuhan
| | - Zhifang Yang
- Department of Thyroid and Breast Surgery
- Tongji Hospital
- Tongji Medical College of Huazhong University of Science and Technology
- Wuhan
- P. R. China
| | - Xingrui Li
- Department of Thyroid and Breast Surgery
- Tongji Hospital
- Tongji Medical College of Huazhong University of Science and Technology
- Wuhan
- P. R. China
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