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Van Battum E, Heitz-Marchaland C, Zagar Y, Fouquet S, Kuner R, Chédotal A. Plexin-B2 controls the timing of differentiation and the motility of cerebellar granule neurons. eLife 2021; 10:60554. [PMID: 34100719 PMCID: PMC8211449 DOI: 10.7554/elife.60554] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
Plexin-B2 deletion leads to aberrant lamination of cerebellar granule neurons (CGNs) and Purkinje cells. Although in the cerebellum Plexin-B2 is only expressed by proliferating CGN precursors in the outer external granule layer (oEGL), its function in CGN development is still elusive. Here, we used 3D imaging, in vivo electroporation and live-imaging techniques to study CGN development in novel cerebellum-specific Plxnb2 conditional knockout mice. We show that proliferating CGNs in Plxnb2 mutants not only escape the oEGL and mix with newborn postmitotic CGNs. Furthermore, motility of mitotic precursors and early postmitotic CGNs is altered. Together, this leads to the formation of ectopic patches of CGNs at the cerebellar surface and an intermingling of normally time-stamped parallel fibers in the molecular layer (ML), and aberrant arborization of Purkinje cell dendrites. There results suggest that Plexin-B2 restricts CGN motility and might have a function in cytokinesis.
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Affiliation(s)
- Eljo Van Battum
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
| | | | - Yvrick Zagar
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
| | - Stéphane Fouquet
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
| | - Rohini Kuner
- Pharmacology Institute, Heidelberg University, Heidelberg, Germany
| | - Alain Chédotal
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, Paris, France
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52
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Whole-genome sequencing identifies functional noncoding variation in SEMA3C that cosegregates with dyslexia in a multigenerational family. Hum Genet 2021; 140:1183-1200. [PMID: 34076780 PMCID: PMC8263547 DOI: 10.1007/s00439-021-02289-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 04/27/2021] [Indexed: 12/11/2022]
Abstract
Dyslexia is a common heritable developmental disorder involving impaired reading abilities. Its genetic underpinnings are thought to be complex and heterogeneous, involving common and rare genetic variation. Multigenerational families segregating apparent monogenic forms of language-related disorders can provide useful entrypoints into biological pathways. In the present study, we performed a genome-wide linkage scan in a three-generational family in which dyslexia affects 14 of its 30 members and seems to be transmitted with an autosomal dominant pattern of inheritance. We identified a locus on chromosome 7q21.11 which cosegregated with dyslexia status, with the exception of two cases of phenocopy (LOD = 2.83). Whole-genome sequencing of key individuals enabled the assessment of coding and noncoding variation in the family. Two rare single-nucleotide variants (rs144517871 and rs143835534) within the first intron of the SEMA3C gene cosegregated with the 7q21.11 risk haplotype. In silico characterization of these two variants predicted effects on gene regulation, which we functionally validated for rs144517871 in human cell lines using luciferase reporter assays. SEMA3C encodes a secreted protein that acts as a guidance cue in several processes, including cortical neuronal migration and cellular polarization. We hypothesize that these intronic variants could have a cis-regulatory effect on SEMA3C expression, making a contribution to dyslexia susceptibility in this family.
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53
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Melrose J, Hayes AJ, Bix G. The CNS/PNS Extracellular Matrix Provides Instructive Guidance Cues to Neural Cells and Neuroregulatory Proteins in Neural Development and Repair. Int J Mol Sci 2021; 22:5583. [PMID: 34070424 PMCID: PMC8197505 DOI: 10.3390/ijms22115583] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Revised: 05/11/2021] [Accepted: 05/17/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The extracellular matrix of the PNS/CNS is unusual in that it is dominated by glycosaminoglycans, especially hyaluronan, whose space filling and hydrating properties make essential contributions to the functional properties of this tissue. Hyaluronan has a relatively simple structure but its space-filling properties ensure micro-compartments are maintained in the brain ultrastructure, ensuring ionic niches and gradients are maintained for optimal cellular function. Hyaluronan has cell-instructive, anti-inflammatory properties and forms macro-molecular aggregates with the lectican CS-proteoglycans, forming dense protective perineuronal net structures that provide neural and synaptic plasticity and support cognitive learning. AIMS To highlight the central nervous system/peripheral nervous system (CNS/PNS) and its diverse extracellular and cell-associated proteoglycans that have cell-instructive properties regulating neural repair processes and functional recovery through interactions with cell adhesive molecules, receptors and neuroregulatory proteins. Despite a general lack of stabilising fibrillar collagenous and elastic structures in the CNS/PNS, a sophisticated dynamic extracellular matrix is nevertheless important in tissue form and function. CONCLUSIONS This review provides examples of the sophistication of the CNS/PNS extracellular matrix, showing how it maintains homeostasis and regulates neural repair and regeneration.
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Affiliation(s)
- James Melrose
- Raymond Purves Bone and Joint Research Laboratory, Kolling Institute, Northern Sydney Local Health District, St. Leonards, NSW 2065, Australia
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
- Sydney Medical School, Northern, The University of Sydney, Sydney, NSW 2052, Australia
- Faculty of Medicine and Health, The University of Sydney, Royal North Shore Hospital, St. Leonards, NSW 2065, Australia
| | - Anthony J. Hayes
- Bioimaging Research Hub, Cardiff School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK;
| | - Gregory Bix
- Clinical Neuroscience Research Center, Departments of Neurosurgery and Neurology, Tulane University School of Medicine, New Orleans, LA 70112, USA;
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54
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Douthit J, Hairston A, Lee G, Morrison CA, Holguera I, Treisman JE. R7 photoreceptor axon targeting depends on the relative levels of lost and found expression in R7 and its synaptic partners. eLife 2021; 10:65895. [PMID: 34003117 PMCID: PMC8205486 DOI: 10.7554/elife.65895] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 05/17/2021] [Indexed: 01/17/2023] Open
Abstract
As neural circuits form, growing processes select the correct synaptic partners through interactions between cell surface proteins. The presence of such proteins on two neuronal processes may lead to either adhesion or repulsion; however, the consequences of mismatched expression have rarely been explored. Here, we show that the Drosophila CUB-LDL protein Lost and found (Loaf) is required in the UV-sensitive R7 photoreceptor for normal axon targeting only when Loaf is also present in its synaptic partners. Although targeting occurs normally in loaf mutant animals, removing loaf from photoreceptors or expressing it in their postsynaptic neurons Tm5a/b or Dm9 in a loaf mutant causes mistargeting of R7 axons. Loaf localizes primarily to intracellular vesicles including endosomes. We propose that Loaf regulates the trafficking or function of one or more cell surface proteins, and an excess of these proteins on the synaptic partners of R7 prevents the formation of stable connections.
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Affiliation(s)
- Jessica Douthit
- Kimmel Center for Biology and Medicine at the Skirball Institute and Department of Cell Biology, NYU School of Medicine, New York, United States
| | - Ariel Hairston
- Kimmel Center for Biology and Medicine at the Skirball Institute and Department of Cell Biology, NYU School of Medicine, New York, United States
| | - Gina Lee
- Kimmel Center for Biology and Medicine at the Skirball Institute and Department of Cell Biology, NYU School of Medicine, New York, United States
| | - Carolyn A Morrison
- Kimmel Center for Biology and Medicine at the Skirball Institute and Department of Cell Biology, NYU School of Medicine, New York, United States
| | - Isabel Holguera
- Department of Biology, New York University, New York, United States
| | - Jessica E Treisman
- Kimmel Center for Biology and Medicine at the Skirball Institute and Department of Cell Biology, NYU School of Medicine, New York, United States
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55
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RHOA signaling defects result in impaired axon guidance in iPSC-derived neurons from patients with tuberous sclerosis complex. Nat Commun 2021; 12:2589. [PMID: 33972524 PMCID: PMC8110792 DOI: 10.1038/s41467-021-22770-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 03/26/2021] [Indexed: 11/30/2022] Open
Abstract
Patients with Tuberous Sclerosis Complex (TSC) show aberrant wiring of neuronal connections formed during development which may contribute to symptoms of TSC, such as intellectual disabilities, autism, and epilepsy. Yet models examining the molecular basis for axonal guidance defects in developing human neurons have not been developed. Here, we generate human induced pluripotent stem cell (hiPSC) lines from a patient with TSC and genetically engineer counterparts and isogenic controls. By differentiating hiPSCs, we show that control neurons respond to canonical guidance cues as predicted. Conversely, neurons with heterozygous loss of TSC2 exhibit reduced responses to several repulsive cues and defective axon guidance. While TSC2 is a known key negative regulator of MTOR-dependent protein synthesis, we find that TSC2 signaled through MTOR-independent RHOA in growth cones. Our results suggest that neural network connectivity defects in patients with TSC may result from defects in RHOA-mediated regulation of cytoskeletal dynamics during neuronal development. Patients with Tuberous Sclerosis Complex (TSC) show aberrant wiring of neuronal connections. Here, the authors generate iPSC-derived neurons from patients with TSC. TSC2 +/− neurons show impaired mTOR-independent RhoA signaling-mediated axon guidance.
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56
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Repulsive Guidance Molecule-a and Central Nervous System Diseases. BIOMED RESEARCH INTERNATIONAL 2021; 2021:5532116. [PMID: 33997000 PMCID: PMC8112912 DOI: 10.1155/2021/5532116] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 04/27/2021] [Indexed: 12/12/2022]
Abstract
Repulsive guidance molecule-a (RGMa) is a member of glycosylphosphatidylinositol- (GPI-) anchored protein family, which has axon guidance function and is widely involved in the development and pathological processes of the central nervous system (CNS). On the one hand, the binding of RGMa and its receptor Neogenin can regulate axonal guidance, differentiation of neural stem cells into neurons, and the survival of these cells; on the other hand, RGMa can inhibit functional recovery of CNS by inhibiting axonal growth. A number of studies have shown that RGMa may be involved in the pathogenesis of CNS diseases, such as multiple sclerosis, neuromyelitis optica spectrum diseases, cerebral infarction, spinal cord injury, Parkinson's disease, and epilepsy. Targeting RGMa can enhance the functional recovery of CNS, so it may become a promising target for the treatment of CNS diseases. This article will comprehensively review the research progression of RGMa in various CNS diseases up to date.
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57
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Li J, Conrad C, Mills TW, Berg NK, Kim B, Ruan W, Lee JW, Zhang X, Yuan X, Eltzschig HK. PMN-derived netrin-1 attenuates cardiac ischemia-reperfusion injury via myeloid ADORA2B signaling. J Exp Med 2021; 218:212023. [PMID: 33891683 PMCID: PMC8077173 DOI: 10.1084/jem.20210008] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 02/26/2021] [Accepted: 03/19/2021] [Indexed: 01/03/2023] Open
Abstract
Previous studies implicated the neuronal guidance molecule netrin-1 in attenuating myocardial ischemia-reperfusion injury. However, the tissue-specific sources and receptor signaling events remain elusive. Neutrophils are among the first cells responding to an ischemic insult and can be associated with tissue injury or rescue. We found netrin-1 levels were elevated in the blood of patients with myocardial infarction, as well as in mice exposed to myocardial ischemia-reperfusion. Selectively increased infarct sizes and troponin levels were found in Ntn1loxP/loxP Lyz2 Cre+ mice, but not in mice with conditional netrin-1 deletion in other tissue compartments. In vivo studies using neutrophil depletion identified neutrophils as the main source for elevated blood netrin-1 during myocardial injury. Finally, pharmacologic studies using treatment with recombinant netrin-1 revealed a functional role for purinergic signaling events through the myeloid adenosine A2b receptor in mediating netrin-1-elicited cardioprotection. These findings suggest an autocrine signaling loop with a functional role for neutrophil-derived netrin-1 in attenuating myocardial ischemia-reperfusion injury through myeloid adenosine A2b signaling.
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Affiliation(s)
- Jiwen Li
- Department of Anesthesiology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX.,Department of Cardiac Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Catharina Conrad
- Department of Anesthesiology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX.,Department of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany
| | - Tingting W Mills
- Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston, Houston, TX
| | - Nathaniel K Berg
- Department of Anesthesiology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
| | - Boyun Kim
- Department of Anesthesiology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
| | - Wei Ruan
- Department of Anesthesiology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX.,Department of Anesthesiology, Second Xiangya Hospital, Central South University, Hunan, China
| | - Jae W Lee
- Department of Anesthesiology, Yale University School of Medicine, New Haven, CT
| | - Xu Zhang
- Center for Clinical and Translational Sciences, The University of Texas Health Science Center at Houston, Houston, TX
| | - Xiaoyi Yuan
- Department of Anesthesiology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
| | - Holger K Eltzschig
- Department of Anesthesiology, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
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58
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Liu Z, Chen X, Roberts R, Huang R, Mikailov M, Tong W. Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma. Front Pharmacol 2021; 12:608778. [PMID: 33967751 PMCID: PMC8105087 DOI: 10.3389/fphar.2021.608778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 03/23/2021] [Indexed: 11/13/2022] Open
Abstract
High-risk neuroblastoma (NB) remains a significant therapeutic challenge facing current pediatric oncology patients. Structural variants such as gene fusions have shown an initial promise in enhancing mechanistic understanding of NB and improving survival rates. In this study, we performed a comprehensive in silico investigation on the translational ability of gene fusions for patient stratification and treatment development for high-risk NB patients. Specifically, three state-of-the-art gene fusion detection algorithms, including ChimeraScan, SOAPfuse, and TopHat-Fusion, were employed to identify the fusion transcripts in a RNA-seq data set of 498 neuroblastoma patients. Then, the 176 high-risk patients were further stratified into four different subgroups based on gene fusion profiles. Furthermore, Kaplan-Meier survival analysis was performed, and differentially expressed genes (DEGs) for the redefined high-risk group were extracted and functionally analyzed. Finally, repositioning candidates were enriched in each patient subgroup with drug transcriptomic profiles from the LINCS L1000 Connectivity Map. We found the number of identified gene fusions was increased from clinical the low-risk stage to the high-risk stage. Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. The gene fusion profiles could be utilized to redefine high-risk patient subgroups with significant onset age of NB, which yielded the improved survival curves (Log-rank p value ≤ 0.05). Out of 48 enriched repositioning candidates, 45 (93.8%) have antitumor potency, and 24 (50%) were confirmed with either on-going clinical trials or literature reports. The gene fusion profiles have a discrimination power for redefining patient subgroups in high-risk NB and facilitate precision medicine-based drug repositioning implementation.
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Affiliation(s)
- Zhichao Liu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States
| | - Xi Chen
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States
| | - Ruth Roberts
- ApconiX, BioHub at Alderley Park, Alderley Edge, United Kingdom.,University of Birmingham, Edgbaston, Birmingham, United Kingdom
| | - Ruili Huang
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Mike Mikailov
- Office of Science and Engineering Labs, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, United States
| | - Weida Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States
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59
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Goto-Silva L, Martins M, Murillo JR, Souza LRQ, Vitória G, Oliveira JT, Nascimento JM, Loiola EC, Nogueira FCS, Domont GB, Guimarães MZP, Tovar-Moll F, Rehen SK, Junqueira M. Quantitative profiling of axonal guidance proteins during the differentiation of human neurospheres. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2021; 1869:140656. [PMID: 33857633 DOI: 10.1016/j.bbapap.2021.140656] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 03/01/2021] [Accepted: 03/23/2021] [Indexed: 12/14/2022]
Abstract
Axon guidance is required for the establishment of brain circuits. Whether much of the molecular basis of axon guidance is known from animal models, the molecular machinery coordinating axon growth and pathfinding in humans remains to be elucidated. The use of induced pluripotent stem cells (iPSC) from human donors has revolutionized in vitro studies of the human brain. iPSC can be differentiated into neuronal stem cells which can be used to generate neural tissue-like cultures, known as neurospheres, that reproduce, in many aspects, the cell types and molecules present in the brain. Here, we analyzed quantitative changes in the proteome of neurospheres during differentiation. Relative quantification was performed at early time points during differentiation using iTRAQ-based labeling and LC-MS/MS analysis. We identified 6438 proteins, from which 433 were downregulated and 479 were upregulated during differentiation. We show that human neurospheres have a molecular profile that correlates to the fetal brain. During differentiation, upregulated pathways are related to neuronal development and differentiation, cell adhesion, and axonal guidance whereas cell proliferation pathways were downregulated. We developed a functional assay to check for neurite outgrowth in neurospheres and confirmed that neurite outgrowth potential is increased after 10 days of differentiation and is enhanced by increasing cyclic AMP levels. The proteins identified here represent a resource to monitor neurosphere differentiation and coupled to the neurite outgrowth assay can be used to functionally explore neurological disorders using human neurospheres as a model.
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Affiliation(s)
- Livia Goto-Silva
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil
| | - Michele Martins
- Department of Biochemistry, Chemistry Institute, Federal University of Rio de Janeiro (UFRJ), Av. Athos da Silveira Ramos, 149 - bloco A 5° andar - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-909, Brazil
| | - Jimmy Rodriguez Murillo
- Department of Biochemistry, Chemistry Institute, Federal University of Rio de Janeiro (UFRJ), Av. Athos da Silveira Ramos, 149 - bloco A 5° andar - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-909, Brazil
| | - Leticia R Q Souza
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil
| | - Gabriela Vitória
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil
| | - Júlia T Oliveira
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil
| | - Juliana M Nascimento
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil; Department of Biosciences, Institute Science and Society, Federal University of São Paulo (Unifesp), Rua Silva Jardim, 136, Santos, SP 11015-020, Brazil
| | - Erick Correia Loiola
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil
| | - Fabio C S Nogueira
- Department of Biochemistry, Chemistry Institute, Federal University of Rio de Janeiro (UFRJ), Av. Athos da Silveira Ramos, 149 - bloco A 5° andar - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-909, Brazil
| | - Gilberto B Domont
- Department of Biochemistry, Chemistry Institute, Federal University of Rio de Janeiro (UFRJ), Av. Athos da Silveira Ramos, 149 - bloco A 5° andar - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-909, Brazil
| | - Marília Zaluar P Guimarães
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil; Institute of Biomedical Sciences, Federal University of Rio de Janeiro (UFRJ), Rua Manoel Frota Moreira - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-590, Brazil
| | - Fernanda Tovar-Moll
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil
| | - Stevens Kastrup Rehen
- D'Or Institute for Research and Education (IDOR), Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro, RJ 22281-100, Brazil; Institute of Biomedical Sciences, Federal University of Rio de Janeiro (UFRJ), Rua Manoel Frota Moreira - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-590, Brazil.
| | - Magno Junqueira
- Department of Biochemistry, Chemistry Institute, Federal University of Rio de Janeiro (UFRJ), Av. Athos da Silveira Ramos, 149 - bloco A 5° andar - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-909, Brazil.
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Hanna R, Flamier A, Barabino A, Bernier G. G-quadruplexes originating from evolutionary conserved L1 elements interfere with neuronal gene expression in Alzheimer's disease. Nat Commun 2021; 12:1828. [PMID: 33758195 PMCID: PMC7987966 DOI: 10.1038/s41467-021-22129-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 03/03/2021] [Indexed: 02/06/2023] Open
Abstract
DNA sequences containing consecutive guanines organized in 4-interspaced tandem repeats can form stable single-stranded secondary structures, called G-quadruplexes (G4). Herein, we report that the Polycomb group protein BMI1 is enriched at heterochromatin regions containing putative G4 DNA sequences, and that G4 structures accumulate in cells with reduced BMI1 expression and/or relaxed chromatin, including sporadic Alzheimer's disease (AD) neurons. In AD neurons, G4 structures preferentially accumulate in lamina-associated domains, and this is rescued by re-establishing chromatin compaction. ChIP-seq analyses reveal that G4 peaks correspond to evolutionary conserved Long Interspersed Element-1 (L1) sequences predicted to be transcriptionally active. Hence, G4 structures co-localize with RNAPII, and inhibition of transcription can reverse the G4 phenotype without affecting chromatin's state, thus uncoupling both components. Intragenic G4 structures affecting splicing events are furthermore associated with reduced neuronal gene expression in AD. Active L1 sequences are thus at the origin of most G4 structures observed in human neurons.
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Affiliation(s)
- Roy Hanna
- Stem Cell and Developmental Biology Laboratory, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada
| | - Anthony Flamier
- Stem Cell and Developmental Biology Laboratory, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada
- Whitehead Institute of Biomedical Research, Cambridge, MA, USA
| | - Andrea Barabino
- Stem Cell and Developmental Biology Laboratory, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada
| | - Gilbert Bernier
- Stem Cell and Developmental Biology Laboratory, Hôpital Maisonneuve-Rosemont, Montreal, QC, Canada.
- Department of Neurosciences, University of Montreal, Montreal, QC, Canada.
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Sex-Specific Role for SLIT1 in Regulating Stress Susceptibility. Biol Psychiatry 2021; 91:81-91. [PMID: 33896623 PMCID: PMC8390577 DOI: 10.1016/j.biopsych.2021.01.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 12/22/2020] [Accepted: 01/06/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Major depressive disorder is a pervasive and debilitating syndrome characterized by mood disturbances, anhedonia, and alterations in cognition. While the prevalence of major depressive disorder is twice as high for women as men, little is known about the molecular mechanisms that drive sex differences in depression susceptibility. METHODS We discovered that SLIT1, a secreted protein essential for axonal navigation and molecular guidance during development, is downregulated in the adult ventromedial prefrontal cortex (vmPFC) of women with depression compared with healthy control subjects, but not in men with depression. This sex-specific downregulation of Slit1 was also observed in the vmPFC of mice exposed to chronic variable stress. To identify a causal, sex-specific role for SLIT1 in depression-related behavioral abnormalities, we performed knockdown (KD) of Slit1 expression in the vmPFC of male and female mice. RESULTS When combined with stress exposure, vmPFC Slit1 KD reflected the human condition by inducing a sex-specific increase in anxiety- and depression-related behaviors. Furthermore, we found that vmPFC Slit1 KD decreased the dendritic arborization of vmPFC pyramidal neurons and decreased the excitability of the neurons in female mice, effects not observed in males. RNA sequencing analysis of the vmPFC after Slit1 KD in female mice revealed an augmented transcriptional stress signature. CONCLUSIONS Together, our findings establish a crucial role for SLIT1 in regulating neurophysiological and transcriptional responses to stress within the female vmPFC and provide mechanistic insight into novel signaling pathways and molecular factors influencing sex differences in depression susceptibility.
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Tan X, Liu Y, Zhang T, Cong S. Integrated analysis of differentially expressed genes and construction of a competing endogenous RNA network in human Huntington neural progenitor cells. BMC Med Genomics 2021; 14:48. [PMID: 33579286 PMCID: PMC7881634 DOI: 10.1186/s12920-021-00894-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 02/04/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Huntington's disease (HD) is one of the most common polyglutamine disorders, leading to progressive dyskinesia, cognitive impairment, and neuropsychological problems. Besides the dysregulation of many protein-coding genes in HD, previous studies have revealed a variety of non-coding RNAs that are also dysregulated in HD, including several long non-coding RNAs (lncRNAs). However, an integrated analysis of differentially expressed (DE) genes based on a competing endogenous RNA (ceRNA) network is still currently lacking. METHODS In this study, we have systematically analyzed the gene expression profile data of neural progenitor cells (NPCs) derived from patients with HD and controls (healthy controls and the isogenic controls of HD patient cell lines corrected using a CRISPR-Cas9 approach at the HTT locus) to screen out DE mRNAs and DE lncRNAs and create a ceRNA network. To learn more about the possible functions of lncRNAs in the ceRNA regulatory network in HD, we conducted a functional analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) and established a protein-protein interaction (PPI) network for mRNAs interacting with these lncRNAs. RESULTS We identified 490 DE mRNAs and 94 DE lncRNAs, respectively. Of these, 189 mRNAs and 20 lncRNAs were applied to create a ceRNA network. The results showed that the function of DE lncRNAs mainly correlated with transcriptional regulation as demonstrated by GO analysis. Also, KEGG enrichment analysis showed these lncRNAs were involved in tumor necrosis factor, calcium, Wnt, and NF-kappa B signaling pathways. Interestingly, the PPI network revealed that a variety of transcription factors in the ceRNA network interacted with each other, suggesting such lncRNAs may regulate transcription in HD by controlling the expression of such protein-coding genes, especially transcription factors. CONCLUSIONS Our research provides new clues for uncovering the mechanisms of lncRNAs in HD and can be used as the focus for further investigation.
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Affiliation(s)
- Xiaoping Tan
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, 36 Sanhao Street, Shenyang, 110004, Liaoning, People's Republic of China
| | - Yang Liu
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, 36 Sanhao Street, Shenyang, 110004, Liaoning, People's Republic of China
| | - Taiming Zhang
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, 36 Sanhao Street, Shenyang, 110004, Liaoning, People's Republic of China
| | - Shuyan Cong
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, 36 Sanhao Street, Shenyang, 110004, Liaoning, People's Republic of China.
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Liu G, Zhao H, Yan Z, Zhao S, Niu Y, Li X, Wang S, Yang Y, Liu S, Zhang TJ, Wu Z, Wu N. Whole-genome methylation analysis reveals novel epigenetic perturbations of congenital scoliosis. MOLECULAR THERAPY. NUCLEIC ACIDS 2021; 23:1281-1287. [PMID: 33717649 PMCID: PMC7907230 DOI: 10.1016/j.omtn.2021.02.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 02/05/2021] [Indexed: 11/24/2022]
Abstract
Congenital scoliosis (CS) is a congenital disease caused by malformations of vertebrae. Recent studies demonstrated that DNA modification could contribute to the pathogenesis of disease. This study aims to identify epigenetic perturbations that may contribute to the pathogenesis of CS. Four CS patients with hemivertebra were enrolled and underwent spine correction operations. DNA was extracted from the hemivertebrae and spinal process collected from the specimen during the hemivertebra resection. Genome-wide DNA methylation profiling was examined at base-pair resolution using whole-genome bisulfite sequencing (WGBS). We identified 343 genes with hyper-differentially methylated regions (DMRs) and 222 genes with hypo-DMRs, respectively. These genes were enriched in the mitogen-activated protein kinase (MAPK) signaling pathway, calcium signaling pathway, and axon guidance in Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and were enriched in positive regulation of cell morphogenesis involved in differentiation, regulation of cell morphogenesis involved in differentiation, and regulation of neuron projection development in Biological Process of Gene Ontology (GO-BP) terms. Hyper-DMR-related genes, including IGHG1, IGHM, IGHG3, RNF213, and GSE1, and hypo DMR-related genes, including SORCS2, COL5A1, GRID1, RGS3, and ROBO2, may contribute to the pathogenesis of hemivertebra. The aberrant DNA methylation may be associated with the formation of hemivertebra and congenital scoliosis.
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Affiliation(s)
- Gang Liu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hengqiang Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zihui Yan
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Sen Zhao
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China
| | - Yuchen Niu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiaoxin Li
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Shengru Wang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yang Yang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Sen Liu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Terry Jianguo Zhang
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zhihong Wu
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Nan Wu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Key Laboratory of Big Data for Spinal Deformities, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.,Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing 100730, China.,Key Laboratory of Big Data for Spinal Deformities, Chinese Academy of Medical Sciences, Beijing 100730, China
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64
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Abstract
Cardiovascular pathologies are often induced by inflammation. The associated changes in the inflammatory response influence vascular endothelial biology; they complicate the extent of ischaemia and reperfusion injury, direct the migration of immune competent cells and activate platelets. The initiation and progression of inflammation is regulated by the classical paradigm through the system of cytokines and chemokines. Therapeutic approaches have previously used this knowledge to control the extent of cardiovascular changes with varying degrees of success. Neuronal guidance proteins (NGPs) have emerged in recent years and have been shown to be significantly involved in the control of tissue inflammation and the mechanisms of immune cell activation. Therefore, proteins of this class might be used in the future as targets to control the extent of inflammation in the cardiovascular system. In this review, we describe the role of NGPs during cardiovascular inflammation and highlight potential therapeutic options that could be explored in the future.
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65
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Patel Y, Parker N, Shin J, Howard D, French L, Thomopoulos SI, Pozzi E, Abe Y, Abé C, Anticevic A, Alda M, Aleman A, Alloza C, Alonso-Lana S, Ameis SH, Anagnostou E, McIntosh AA, Arango C, Arnold PD, Asherson P, Assogna F, Auzias G, Ayesa-Arriola R, Bakker G, Banaj N, Banaschewski T, Bandeira CE, Baranov A, Bargalló N, Bau CHD, Baumeister S, Baune BT, Bellgrove MA, Benedetti F, Bertolino A, Boedhoe PSW, Boks M, Bollettini I, Del Mar Bonnin C, Borgers T, Borgwardt S, Brandeis D, Brennan BP, Bruggemann JM, Bülow R, Busatto GF, Calderoni S, Calhoun VD, Calvo R, Canales-Rodríguez EJ, Cannon DM, Carr VJ, Cascella N, Cercignani M, Chaim-Avancini TM, Christakou A, Coghill D, Conzelmann A, Crespo-Facorro B, Cubillo AI, Cullen KR, Cupertino RB, Daly E, Dannlowski U, Davey CG, Denys D, Deruelle C, Di Giorgio A, Dickie EW, Dima D, Dohm K, Ehrlich S, Ely BA, Erwin-Grabner T, Ethofer T, Fair DA, Fallgatter AJ, Faraone SV, Fatjó-Vilas M, Fedor JM, Fitzgerald KD, Ford JM, Frodl T, Fu CHY, Fullerton JM, Gabel MC, Glahn DC, Roberts G, Gogberashvili T, Goikolea JM, Gotlib IH, Goya-Maldonado R, Grabe HJ, Green MJ, Grevet EH, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Guerrero-Pedraza A, Gur RE, Gur RC, Haar S, Haarman BCM, Haavik J, Hahn T, Hajek T, Harrison BJ, Harrison NA, Hartman CA, Whalley HC, Heslenfeld DJ, Hibar DP, Hilland E, Hirano Y, Ho TC, Hoekstra PJ, Hoekstra L, Hohmann S, Hong LE, Höschl C, Høvik MF, Howells FM, Nenadic I, Jalbrzikowski M, James AC, Janssen J, Jaspers-Fayer F, Xu J, Jonassen R, Karkashadze G, King JA, Kircher T, Kirschner M, Koch K, Kochunov P, Kohls G, Konrad K, Krämer B, Krug A, Kuntsi J, Kwon JS, Landén M, Landrø NI, Lazaro L, Lebedeva IS, Leehr EJ, Lera-Miguel S, Lesch KP, Lochner C, Louza MR, Luna B, Lundervold AJ, MacMaster FP, Maglanoc LA, Malpas CB, Portella MJ, Marsh R, Martyn FM, Mataix-Cols D, Mathalon DH, McCarthy H, McDonald C, McPhilemy G, Meinert S, Menchón JM, Minuzzi L, Mitchell PB, Moreno C, Morgado P, Muratori F, Murphy CM, Murphy D, Mwangi B, Nabulsi L, Nakagawa A, Nakamae T, Namazova L, Narayanaswamy J, Jahanshad N, Nguyen DD, Nicolau R, O'Gorman Tuura RL, O'Hearn K, Oosterlaan J, Opel N, Ophoff RA, Oranje B, García de la Foz VO, Overs BJ, Paloyelis Y, Pantelis C, Parellada M, Pauli P, Picó-Pérez M, Picon FA, Piras F, Piras F, Plessen KJ, Pomarol-Clotet E, Preda A, Puig O, Quidé Y, Radua J, Ramos-Quiroga JA, Rasser PE, Rauer L, Reddy J, Redlich R, Reif A, Reneman L, Repple J, Retico A, Richarte V, Richter A, Rosa PGP, Rubia KK, Hashimoto R, Sacchet MD, Salvador R, Santonja J, Sarink K, Sarró S, Satterthwaite TD, Sawa A, Schall U, Schofield PR, Schrantee A, Seitz J, Serpa MH, Setién-Suero E, Shaw P, Shook D, Silk TJ, Sim K, Simon S, Simpson HB, Singh A, Skoch A, Skokauskas N, Soares JC, Soreni N, Soriano-Mas C, Spalletta G, Spaniel F, Lawrie SM, Stern ER, Stewart SE, Takayanagi Y, Temmingh HS, Tolin DF, Tomecek D, Tordesillas-Gutiérrez D, Tosetti M, Uhlmann A, van Amelsvoort T, van der Wee NJA, van der Werff SJA, van Haren NEM, van Wingen GA, Vance A, Vázquez-Bourgon J, Vecchio D, Venkatasubramanian G, Vieta E, Vilarroya O, Vives-Gilabert Y, Voineskos AN, Völzke H, von Polier GG, Walton E, Weickert TW, Weickert CS, Weideman AS, Wittfeld K, Wolf DH, Wu MJ, Yang TT, Yang K, Yoncheva Y, Yun JY, Cheng Y, Zanetti MV, Ziegler GC, Franke B, Hoogman M, Buitelaar JK, van Rooij D, Andreassen OA, Ching CRK, Veltman DJ, Schmaal L, Stein DJ, van den Heuvel OA, Turner JA, van Erp TGM, Pausova Z, Thompson PM, Paus T. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders. JAMA Psychiatry 2021; 78:47-63. [PMID: 32857118 PMCID: PMC7450410 DOI: 10.1001/jamapsychiatry.2020.2694] [Citation(s) in RCA: 103] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 06/12/2020] [Indexed: 01/01/2023]
Abstract
IMPORTANCE Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood. OBJECTIVE To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia. DESIGN, SETTING, AND PARTICIPANTS Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244. MAIN OUTCOMES AND MEASURES Interregional profiles of group difference in cortical thickness between cases and controls. RESULTS A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders. CONCLUSIONS AND RELEVANCE In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.
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Affiliation(s)
- Yash Patel
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Nadine Parker
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Jean Shin
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Derek Howard
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Leon French
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - Elena Pozzi
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Alan Anticevic
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Andre Aleman
- University of Groningen, University Medical Center Groningen, Department of Biomedical Sciences of Cells and Systems, Cognitive Neuroscience Center, Groningen, the Netherlands
| | - Clara Alloza
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Spain
| | - Silvia Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Stephanie H Ameis
- The Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, University of Toronto, Toronto, Ontario, Canada
| | | | - Andrew A McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, CIBERSAM
| | - Paul D Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience; King's College London, London, England
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Guillaume Auzias
- INT UMR 7289, Aix-Marseille Université, CNRS, Aix-en-Provence, France
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria; Centro de Investigación Biomédica en Red de Salud Mental, Santander, Spain
| | - Geor Bakker
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, Maastricht University, the Netherlands
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Cibele E Bandeira
- Department of Genetics, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Alexandr Baranov
- The Research Institute of Pediatrics and Child Health of the Central Clinical Hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
| | - Núria Bargalló
- Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Claiton H D Bau
- Department of Genetics, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Bernhard T Baune
- University of Münster, Department of Psychiatry, Münster, Germany
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Premika S W Boedhoe
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neuroscience, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Marco Boks
- Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Department of Psychiatry, Utrecht, the Netherlands
| | - Irene Bollettini
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Caterina Del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Tiana Borgers
- University of Münster, Department of Psychiatry, Münster, Germany
| | - Stefan Borgwardt
- Department of Psychiatry, University of Basel, Basel, Switzerland
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Brian P Brennan
- McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Jason M Bruggemann
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Robin Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Geraldo F Busatto
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Sara Calderoni
- Department of Developmental Neuroscience - IRCCS Fondazione Stella Maris, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia
| | - Rosa Calvo
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM); University of Barcelona, Spain
| | - Erick J Canales-Rodríguez
- FIDMAG Germanes Hospitalàries Research Foundation, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Vaughan J Carr
- School of Psychiatry, University of New South Wales, Randwick, New South Wales, Australia
| | - Nicola Cascella
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Mara Cercignani
- Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, England
| | - Tiffany M Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Anastasia Christakou
- Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, Reading, England
| | - David Coghill
- Departments of Paediatrics and Psychiatry, University of Melbourne, Melbourne, Australia
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Tübingen, Tübingen, Germany
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain; Hospital Universitario Virgen del Rocío, Sevilla, Spain; Departamento de Psiquiatria, Universidad de Sevilla, Instituto de Biomedicina de Sevilla (IBIS), Sevilla, Spain
| | - Ana I Cubillo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London UK; Zurich Center for Neuroeconomics, University of Zurich, Zurich, Switzerland
| | - Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota
| | - Renata B Cupertino
- Department of Genetics, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Eileen Daly
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, Sackler Institute for Translational Neurodevelopment, London, London, England
| | - Udo Dannlowski
- University of Münster, Department of Psychiatry, Münster, Germany
| | | | - Damiaan Denys
- Department of Psychiatry, Amsterdam UMC, Amsterdam, the Netherlands
| | | | | | - Erin W Dickie
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, City, University of London, Northampton Square, Clerkenwell, London, England
| | - Katharina Dohm
- University of Münster, Department of Psychiatry, Münster, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Benjamin A Ely
- Department of Psychiatry and Biological Sciences, Albert Einstein College of Medicine, the Bronx, New York
| | - Tracy Erwin-Grabner
- University Medical Center Goettingen, Department of Psychiatry and Psychotherapy, Systems Neuroscience and Imaging in Psychiatry, Göettingen, Germany
| | - Thomas Ethofer
- Department of Psychiatry, University of Tuebingen, Tuebingen, Germany
| | - Damien A Fair
- Behavioral Neuroscience Department, Oregon Health & Science University, Portland
| | | | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York
| | - Mar Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Jennifer M Fedor
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Kate D Fitzgerald
- Child OCD and Anxiety Disorders Program, Department of Psychiatry, University of Michigan Medical School, Ann Arbor
| | - Judith M Ford
- San Francisco VA Medical Center, San Francisco, California
| | - Thomas Frodl
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Cynthia H Y Fu
- University of East London, School of Psychology, London, England
| | - Janice M Fullerton
- Neuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia
| | - Matt C Gabel
- Department of Neuroscience, Brighton and Sussex Medical School, Brighton, England
| | - David C Glahn
- Tommy Fuss Center for Neuropsychiatric Disease Research, Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Randwick, New South Wales, Australia
| | | | - Jose M Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, California
| | - Roberto Goya-Maldonado
- University Medical Center Goettingen, Department of Psychiatry and Psychotherapy, Systems Neuroscience and Imaging in Psychiatry, Göettingen, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Randwick, New South Wales, Australia
| | - Eugenio H Grevet
- Department of Psychiatry, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Patricia Gruner
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | | | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Shlomi Haar
- Department of Bioengineering, Imperial College London, London, England
| | - Bartholomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Tim Hahn
- University of Münster, Department of Psychiatry, Münster, Germany
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Benjamin J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Neil A Harrison
- Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, England
| | - Catharina A Hartman
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), Groningen, the Netherlands
| | - Heather C Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland
| | - Dirk J Heslenfeld
- Department of Experimental Psychology, Vrije Universiteit, Amsterdam, Netherlands
| | | | - Eva Hilland
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Tiffany C Ho
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco
| | - Pieter J Hoekstra
- University of Groningen, University Medical Center Groningen, Department of Child and Adolescent Psychiatry, Groningen, the Netherlands
| | - Liesbeth Hoekstra
- Radboud University Medical Center, Karakter University Center of Child And Adolescent Psychiatry, Nijmegen, the Netherlands
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - L E Hong
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland
| | - Cyril Höschl
- National Institute of Mental Health, Klecany, Czech Republic
| | - Marie F Høvik
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Fleur M Howells
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany
| | - Maria Jalbrzikowski
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Spain
| | - Fern Jaspers-Fayer
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jian Xu
- Department of Internal Medicine, First Affiliated Hospital of Kunming Medical University, Kunming. China
| | - Rune Jonassen
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Georgii Karkashadze
- Research Institute of Pediatrics and child health of the Central clinical hospital of the Ministry of Science and Education, Moscow, Russia
| | - Joseph A King
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Tilo Kircher
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
| | - Matthias Kirschner
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Kathrin Koch
- Department of Neuroradiology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Peter Kochunov
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland
| | - Gregor Kohls
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital RWTH Aachen, Aachen, Germany
| | - Kerstin Konrad
- Child Neuropsychology Section, University Hospital RWTH Aachen, German; JARA-Brain Institute II Molecular Neuroscience and Neuroimaging, Research Centre Juelich, Juelich, Germany
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Axel Krug
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Germany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience; King's College London, London, England
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nils I Landrø
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM); University of Barcelona, Spain
| | | | | | - Sara Lera-Miguel
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic, Barcelona, Spain
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Mario R Louza
- Institute of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Astri J Lundervold
- Department of Biological and Medical psychology, University of Bergen, Bergen, Norway
| | - Frank P MacMaster
- Departments of Psychiatry and Pediatrics, University of Calgary, Calgary, Alberta, Canada
| | - Luigi A Maglanoc
- University Centre for Information Technology, University of Oslo, Oslo, Norway
| | - Charles B Malpas
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia
| | - Maria J Portella
- Group of Research in Mental Health, Institut d'Investigació Biomèdica Sant Pau, IIBSant Pau; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Rachel Marsh
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Fiona M Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - David Mataix-Cols
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Daniel H Mathalon
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco
| | - Hazel McCarthy
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Susanne Meinert
- University of Münster, Department of Psychiatry, Münster, Germany
| | - José M Menchón
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Luciano Minuzzi
- McMaster University, Mood Disorders Program, SJH Hamilton, Hamilton, Ontario, Canada
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Randwick, New South Wales, Australia
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, CIBERSAM
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Filippo Muratori
- Department of Developmental Neuroscience - IRCCS Fondazione Stella Maris, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa
| | - Clodagh M Murphy
- Department of Forensic and Neurodevelopmental Science, King's College London, London, England
| | - Declan Murphy
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry Psychology and Neuroscience, King's College, London, England
| | - Benson Mwangi
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Akiko Nakagawa
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Leyla Namazova
- The Research Institute of Pediatrics and Child Health of the Central Clinical Hospital of the Russian Academy of Sciences of the Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia
| | - Janardhanan Narayanaswamy
- OCD clinic, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - Danai D Nguyen
- Department of Pediatrics, University of California, Irvine
| | - Rosa Nicolau
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic, Barcelona, Spain
| | | | - Kirsten O'Hearn
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jaap Oosterlaan
- Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Emma Neuroscience Group, department of Pediatrics, Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Nils Opel
- University of Münster, Department of Psychiatry, Münster, Germany
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, University of California Los Angeles
| | - Bob Oranje
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Victor Ortiz García de la Foz
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
| | | | - Yannis Paloyelis
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, England
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Australia
| | - Mara Parellada
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, CIBERSAM
| | - Paul Pauli
- Department of Psychology (Biological Psychology, Clinical Psychology, and Psychotherapy), and Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Felipe A Picon
- Department of Psychiatry, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Kerstin J Plessen
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland; Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Denmark
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California, Irvine
| | - Olga Puig
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM); University of Barcelona, Spain
| | - Yann Quidé
- School of Psychiatry, University of New South Wales, Randwick, New South Wales, Australia
- Neuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - J Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute, Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Catalonia, Spain
| | - Paul E Rasser
- Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Lisa Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Janardhan Reddy
- OCD clinic, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Ronny Redlich
- University of Münster, Department of Psychiatry, Münster, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Germany
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Jonathan Repple
- University of Münster, Department of Psychiatry, Münster, Germany
| | | | - Vanesa Richarte
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute, Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Catalonia, Spain
| | - Anja Richter
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Pedro G P Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Katya K Rubia
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Matthew D Sacchet
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Javier Santonja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, Facultad de Psicologia, Universidad Autónoma de Madrid
| | - Kelvin Sarink
- University of Münster, Department of Psychiatry, Münster, Germany
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | | | - Akira Sawa
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ulrich Schall
- Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, New South Wales, Australia
| | | | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Jochen Seitz
- Department of Child and Adolescent Psychiatry, RWTH Aachen University Hospital, Aachen, Germany
| | - Mauricio H Serpa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Esther Setién-Suero
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria; Centro de Investigación Biomédica en Red de Salud Mental, Santander, Spain
| | - Philip Shaw
- National Human Genome Research Institute and National Institute of Mental Health, Bethesda, Maryland
| | - Devon Shook
- Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Tim J Silk
- School of Psychology, Deakin University, Geelong, Melbourne, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore
| | - Schmitt Simon
- Department of Psychiatry and Psychotherapy, Philipps University Marburg, Marburg, Germany
| | | | - Aditya Singh
- University Medical Center Goettingen, Department of Psychiatry and Psychotherapy, Systems Neuroscience and Imaging in Psychiatry, Göettingen, Germany
| | - Antonin Skoch
- National Institute of Mental Health, Klecany, Czech Republic
| | - Norbert Skokauskas
- Center for Child and Adolescent Mental Health, Institute of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jair C Soares
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston
| | - Noam Soreni
- Pediatric OCD Consultation Clinic, Anxiety Treatment and Research Center, SJH Hamilton, Ontario, Canada
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | | | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - Stephen M Lawrie
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland
| | - Emily R Stern
- Department of Psychiatry, New York University School of Medicine, Nathan Kline Institute, New York
| | - S Evelyn Stewart
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Henk S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - David F Tolin
- Anxiety Disorders Center, The Institute of Living, Hartford, Connecticut
| | - David Tomecek
- National Institute of Mental Health, Klecany, Czech Republic
| | - Diana Tordesillas-Gutiérrez
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
| | - Michela Tosetti
- Laboratory of Medical Physics and Magnetic Resonance - IRCCS Fondazione Stella Maris, Pisa, Italy
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Neeltje E M van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Guido A van Wingen
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Alasdair Vance
- Academic Child Psychiatry Unit, Department of Pediatrics, University of Melbourne, Royal Children's Hospital, Melbourne, Australia
| | - Javier Vázquez-Bourgon
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria; Centro de Investigación Biomédica en Red de Salud Mental, Santander, Spain
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Ganesan Venkatasubramanian
- OCD clinic, Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- Hospital Clinic, University of Barcelona, Spain
| | - Oscar Vilarroya
- Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Cerdanyola del Vallès, Barcelona, Spain
| | | | - Aristotle N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Georg G von Polier
- Department for Child and Adolescent Psychiatry, University Hospital RWTH Aachen, Aachen, Germany
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, England
| | - Thomas W Weickert
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | | | - Andrea S Weideman
- Clinical Translational Neuroscience Laboratory, University of California Irvine, Irvine, CA; Center for the Neurobiology of Learning and Memory, University of California, Irvine
| | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Germany
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Mon-Ju Wu
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston
| | - T T Yang
- University of California San Francisco, Department of Psychiatry, Division of Child and Adolescent Psychiatry, University of California, San Francisco, Weill Institute for Neurosciences
| | - Kun Yang
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Yuliya Yoncheva
- Department of Child and Adolescent Psychiatry, New York University Child Study Center, Hassenfeld Children's Hospital at NYU Langone, New York
| | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of Korea
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Marcus V Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Georg C Ziegler
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud UMC, Nijmegen, the Netherlands
| | - Daan van Rooij
- Donders Centre for Cognitive Neuroimaging, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam UMC, location VUMC, Amsterdam, the Netherlands
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Odile A van den Heuvel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neuroscience, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Jessica A Turner
- Psychology Department and Neuroscience Institute, Georgia State University, Atlanta, Georgia
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, University of California Irvine, Irvine, CA; Center for the Neurobiology of Learning and Memory, University of California, Irvine
| | - Zdenka Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles
| | - Tomáš Paus
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, Canada
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Decline in biological resilience as key manifestation of aging: Potential mechanisms and role in health and longevity. Mech Ageing Dev 2020; 194:111418. [PMID: 33340523 DOI: 10.1016/j.mad.2020.111418] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022]
Abstract
Decline in biological resilience (ability to recover) is a key manifestation of aging that contributes to increase in vulnerability to death with age eventually limiting longevity even in people without major chronic diseases. Understanding the mechanisms of this decline is essential for developing efficient anti-aging and pro-longevity interventions. In this paper we discuss: a) mechanisms of the decline in resilience with age, and aging components that contribute to this decline, including depletion of body reserves, imperfect repair mechanisms, and slowdown of physiological processes and responses with age; b) anti-aging interventions that may improve resilience or attenuate its decline; c) biomarkers of resilience available in human and experimental studies; and d) genetic factors that could influence resilience. There are open questions about optimal anti-aging interventions that would oppose the decline in resilience along with extending longevity limits. However, the area develops quickly, and prospects are exciting.
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67
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Nguyen U, Tinsley B, Sen Y, Stein J, Palacios Y, Ceballos A, Welch C, Nzenkue K, Penn A, Murphy L, Leodones K, Casiquin J, Ivory I, Ghenta K, Danziger K, Widman E, Newman J, Triplehorn M, Hindi Z, Mulligan K. Exposure to bisphenol A differentially impacts neurodevelopment and behavior in Drosophila melanogaster from distinct genetic backgrounds. Neurotoxicology 2020; 82:146-157. [PMID: 33309840 DOI: 10.1016/j.neuro.2020.12.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/30/2020] [Accepted: 12/06/2020] [Indexed: 12/13/2022]
Abstract
Bisphenol A (BPA) is a ubiquitous environmental chemical that has been linked to behavioral differences in children and shown to impact critical neurodevelopmental processes in animal models. Though data is emerging, we still have an incomplete picture of how BPA disrupts neurodevelopment; in particular, how its impacts may vary across different genetic backgrounds. Given the genetic tractability of Drosophila melanogaster, they present a valuable model to address this question. Fruit flies are increasingly being used for assessment of neurotoxicants because of their relatively simple brain structure and variety of measurable behaviors. Here we investigated the neurodevelopmental impacts of BPA across two genetic strains of Drosophila-w1118 (control) and the Fragile X Syndrome (FXS) model-by examining both behavioral and neuronal phenotypes. We show that BPA induces hyperactivity in larvae, increases repetitive grooming behavior in adults, reduces courtship behavior, impairs axon guidance in the mushroom body, and disrupts neural stem cell development in the w1118 genetic strain. Remarkably, for every behavioral and neuronal phenotype examined, the impact of BPA in FXS flies was either insignificant or contrasted with the phenotypes observed in the w1118 strain. This data indicates that the neurodevelopmental impacts of BPA can vary widely depending on genetic background and suggests BPA may elicit a gene-environment interaction with Drosophila fragile X mental retardation 1 (dFmr1)-the ortholog of human FMR1, which causes Fragile X Syndrome and is associated with autism spectrum disorder.
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Affiliation(s)
- U Nguyen
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - B Tinsley
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - Y Sen
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - J Stein
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - Y Palacios
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - A Ceballos
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - C Welch
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - K Nzenkue
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - A Penn
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - L Murphy
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - K Leodones
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - J Casiquin
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - I Ivory
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - K Ghenta
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - K Danziger
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - E Widman
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - J Newman
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - M Triplehorn
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - Z Hindi
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States
| | - K Mulligan
- Department of Biological Sciences, California State University, Sacramento, 6000 J Street, Sacramento, CA, 95819, United States.
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68
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Li Y, Chang Y, Li X, Li X, Gao J, Zhou Y, Wu F, Bai R, Dong T, Ma S, Zhang S, Lu WJ, Tan X, Wang Y, Lan F. RAD-Deficient Human Cardiomyocytes Develop Hypertrophic Cardiomyopathy Phenotypes Due to Calcium Dysregulation. Front Cell Dev Biol 2020; 8:585879. [PMID: 33195237 PMCID: PMC7642210 DOI: 10.3389/fcell.2020.585879] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 09/25/2020] [Indexed: 11/30/2022] Open
Abstract
Ras associated with diabetes (RAD) is a membrane protein that acts as a calcium channel regulator by interacting with cardiac L-type Ca2 + channels (LTCC). RAD defects can disrupt intracellular calcium dynamics and lead to cardiac hypertrophy. However, due to the lack of reliable human disease models, the pathological mechanism of RAD deficiency leading to cardiac hypertrophy is not well understood. In this study, we created a RRAD–/– H9 cell line using CRISPR/Cas9 technology. RAD disruption did not affect the ability and efficiency of cardiomyocytes differentiation. However, RAD deficient hESC-CMs recapitulate hypertrophic phenotype in vitro. Further studies have shown that elevated intracellular calcium level and abnormal calcium regulation are the core mechanisms by which RAD deficiency leads to cardiac hypertrophy. More importantly, management of calcium dysregulation has been found to be an effective way to prevent the development of cardiac hypertrophy in vitro.
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Affiliation(s)
- Ya'nan Li
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Yun Chang
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Xiaolei Li
- Department of Cardiology, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Xiaowei Li
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Jian Gao
- Experimental Medicine, Faculty of Medicine, Vancouver, BC, Canada
| | - Yafei Zhou
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
| | - Fujian Wu
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Rui Bai
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Tao Dong
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Shuhong Ma
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Siyao Zhang
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Wen-Jing Lu
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China
| | - Xiaoqiu Tan
- Key Laboratory of Medical Electrophysiology of the Ministry of Education, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China
| | - Yongming Wang
- The State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Feng Lan
- Beijing Laboratory for Cardiovascular Precision Medicine, MOE Key Laboratory of Medical Engineering for Cardiovascular Diseases, MOE Key Laboratory of Remodeling-Related Cardiovascular Disease, Beijing Collaborative Innovation Center for Cardiovascular Disorders, Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China.,State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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69
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Loy K, Fourneau J, Meng N, Denecke C, Locatelli G, Bareyre FM. Semaphorin 7A restricts serotonergic innervation and ensures recovery after spinal cord injury. Cell Mol Life Sci 2020; 78:2911-2927. [PMID: 33128105 PMCID: PMC8004489 DOI: 10.1007/s00018-020-03682-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 09/15/2020] [Accepted: 10/09/2020] [Indexed: 11/25/2022]
Abstract
Descending serotonergic (5-HT) projections originating from the raphe nuclei form an important input to the spinal cord that control basic locomotion. The molecular signals that control this projection pattern are currently unknown. Here, we identify Semaphorin7A (Sema7A) as a critical cue that restricts serotonergic innervation in the spinal cord. Sema7A deficient mice show a marked increase in serotonergic fiber density in all layers of the spinal cord while the density of neurons expressing the corresponding 5-HTR2α receptor remains unchanged. These alterations appear to be successfully compensated as no obvious changes in rhythmic locomotion and skilled stepping are observed in adult mice. When the system is challenged with a spinal lesion, serotonergic innervation patterns in both Sema7A-deficient and -competent mice evolve over time with excessive innervation becoming most pronounced in the dorsal horn of Sema7A-deficient mice. These altered serotonergic innervation patterns correlate with diminished functional recovery that predominantly affects rhythmic locomotion. Our findings identify Sema7A as a critical regulator of serotonergic circuit formation in the injured spinal cord.
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Affiliation(s)
- Kristina Loy
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, 81377, Munich, Germany.,Faculty of Medicine, Biomedical Center Munich (BMC), LMU Munich, 82152, Planegg-Martinsried, Germany.,Graduate School of Systemic Neurosciences, LMU Munich, 82152, Planegg-Martinsried, Germany
| | - Julie Fourneau
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, 81377, Munich, Germany.,Faculty of Medicine, Biomedical Center Munich (BMC), LMU Munich, 82152, Planegg-Martinsried, Germany
| | - Ning Meng
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, 81377, Munich, Germany.,Faculty of Medicine, Biomedical Center Munich (BMC), LMU Munich, 82152, Planegg-Martinsried, Germany
| | - Carmen Denecke
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, 81377, Munich, Germany.,Faculty of Medicine, Biomedical Center Munich (BMC), LMU Munich, 82152, Planegg-Martinsried, Germany.,Graduate School of Systemic Neurosciences, LMU Munich, 82152, Planegg-Martinsried, Germany
| | - Giuseppe Locatelli
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, 81377, Munich, Germany.,Faculty of Medicine, Biomedical Center Munich (BMC), LMU Munich, 82152, Planegg-Martinsried, Germany
| | - Florence M Bareyre
- Institute of Clinical Neuroimmunology, University Hospital, LMU Munich, 81377, Munich, Germany. .,Faculty of Medicine, Biomedical Center Munich (BMC), LMU Munich, 82152, Planegg-Martinsried, Germany. .,Munich Cluster of Systems Neurology (SyNergy), 81377, Munich, Germany.
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70
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Torres-Berrío A, Hernandez G, Nestler EJ, Flores C. The Netrin-1/DCC Guidance Cue Pathway as a Molecular Target in Depression: Translational Evidence. Biol Psychiatry 2020; 88:611-624. [PMID: 32593422 PMCID: PMC7529861 DOI: 10.1016/j.biopsych.2020.04.025] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 04/14/2020] [Accepted: 04/28/2020] [Indexed: 12/15/2022]
Abstract
The Netrin-1/DCC guidance cue pathway plays a critical role in guiding growing axons toward the prefrontal cortex during adolescence and in the maturational organization and adult plasticity of prefrontal cortex connectivity. In this review, we put forward the idea that alterations in prefrontal cortex architecture and function, which are intrinsically linked to the development of major depressive disorder, originate in part from the dysregulation of the Netrin-1/DCC pathway by a mechanism that involves microRNA-218. We discuss evidence derived from mouse models of stress and from human postmortem brain and genome-wide association studies indicating an association between the Netrin-1/DCC pathway and major depressive disorder. We propose a potential role of circulating microRNA-218 as a biomarker of stress vulnerability and major depressive disorder.
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Affiliation(s)
- Angélica Torres-Berrío
- Integrated Program in Neuroscience, Montreal, Quebec, Canada; Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Eric J Nestler
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Cecilia Flores
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
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71
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Vanacker C, Trova S, Shruti S, Casoni F, Messina A, Croizier S, Malone S, Ternier G, Hanchate NK, Rasika S, Bouret SG, Ciofi P, Giacobini P, Prevot V. Neuropilin-1 expression in GnRH neurons regulates prepubertal weight gain and sexual attraction. EMBO J 2020; 39:e104633. [PMID: 32761635 PMCID: PMC7527814 DOI: 10.15252/embj.2020104633] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 07/01/2020] [Accepted: 07/13/2020] [Indexed: 12/26/2022] Open
Abstract
Hypothalamic neurons expressing gonadotropin-releasing hormone (GnRH), the "master molecule" regulating reproduction and fertility, migrate from their birthplace in the nose to their destination using a system of guidance cues, which include the semaphorins and their receptors, the neuropilins and plexins, among others. Here, we show that selectively deleting neuropilin-1 in new GnRH neurons enhances their survival and migration, resulting in excess neurons in the hypothalamus and in their unusual accumulation in the accessory olfactory bulb, as well as an acceleration of mature patterns of activity. In female mice, these alterations result in early prepubertal weight gain, premature attraction to male odors, and precocious puberty. Our findings suggest that rather than being influenced by peripheral energy state, GnRH neurons themselves, through neuropilin-semaphorin signaling, might engineer the timing of puberty by regulating peripheral adiposity and behavioral switches, thus acting as a bridge between the reproductive and metabolic axes.
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Affiliation(s)
- Charlotte Vanacker
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Sara Trova
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Sonal Shruti
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Filippo Casoni
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Andrea Messina
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Sophie Croizier
- Center for Integrative GenomicsUniversity of LausanneLausanneSwitzerland
| | - Samuel Malone
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Gaetan Ternier
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Naresh Kumar Hanchate
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - S Rasika
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Sebastien G Bouret
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Philippe Ciofi
- Inserm U1215Neurocentre MagendieBordeauxFrance
- Université de BordeauxBordeauxFrance
| | - Paolo Giacobini
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
| | - Vincent Prevot
- Laboratory of Development and Plasticity of the Neuroendocrine BrainUniv. Lille, Inserm, CHU Lille, Lille Neuroscience & Cognition, UMR‐S 1172LilleFrance
- FHU, 1000 Days for HealthLilleFrance
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72
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Gliga AR, Taj T, Wahlberg K, Lundh T, Assarsson E, Hedmer M, Albin M, Broberg K. Exposure to Mild Steel Welding and Changes in Serum Proteins With Putative Neurological Function-A Longitudinal Study. Front Public Health 2020; 8:422. [PMID: 32984236 PMCID: PMC7485227 DOI: 10.3389/fpubh.2020.00422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 07/13/2020] [Indexed: 12/20/2022] Open
Abstract
Welders are exposed to high levels of metal particles, consisting mainly of iron and manganese (Mn) oxide. Metal particles, especially those containing Mn can be neurotoxic. In this exploratory study, we evaluated associations between welding and expression of 87 putative neurology-related proteins in serum in a longitudinal approach. The study cohort from southern Sweden included welders working with mild steel (n = 56) and controls (n = 67), all male and non-smoking, which were sampled at two timepoints (T1, T2) 6-year apart. Observed associations in the longitudinal analysis (linear mixed models) were further evaluated (linear regression models) in another cross-sectional sample which included welders (n = 102) and controls (n = 89) who were sampled only once (T1 or T2). The median respirable dust levels for welders after adjusting for respiratory protection was at T1 0.6 (5–95 percentile: 0.2–4.2) and at T2 0.5 (0.1–1.8) mg/m3. The adjusted median respirable Mn concentration was at T2 0.049 mg/m3 (0.003–0.314) with a Spearman correlation between adjusted respirable dust and respirable Mn of rS = 0.88. We identified five neurology-related proteins that were differentially expressed in welders vs. controls in the longitudinal sample, of which one (nicotinamide/nicotinic acid mononucleotide adenylyltransferase 1; NMNAT1) was also differentially expressed in the cross-sectional sample. NMNAT1, an axon-protective protein linked to Alzheimers disease, was upregulated in welders compared with controls but no associations were discerned with degree of exposure (welders only: years welding, respirable dust, cumulative exposure). However, we identified five additional proteins that were associated with years welding (GCSF, EFNA4, CTSS, CLM6, VWC2; welders only) both in the longitudinal and in the cross-sectional samples. We also observed several neurology-related proteins that were associated with age and BMI. Our study indicates that low-to-moderate exposure to welding fumes is associated with changes in circulating levels of neurology-related proteins.
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Affiliation(s)
- Anda R Gliga
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Tahir Taj
- Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Karin Wahlberg
- Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Thomas Lundh
- Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Eva Assarsson
- Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Maria Hedmer
- Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Maria Albin
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Karin Broberg
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden
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73
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Pasterkamp RJ, Burk K. Axon guidance receptors: Endocytosis, trafficking and downstream signaling from endosomes. Prog Neurobiol 2020; 198:101916. [PMID: 32991957 DOI: 10.1016/j.pneurobio.2020.101916] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/06/2020] [Accepted: 09/21/2020] [Indexed: 02/06/2023]
Abstract
During the development of the nervous system, axons extend through complex environments. Growth cones at the axon tip allow axons to find and innervate their appropriate targets and form functional synapses. Axon pathfinding requires axons to respond to guidance signals and these cues need to be detected by specialized receptors followed by intracellular signal integration and translation. Several downstream signaling pathways have been identified for axon guidance receptors and it has become evident that these pathways are often initiated from intracellular vesicles called endosomes. Endosomes allow receptors to traffic intracellularly, re-locating receptors from one cellular region to another. The localization of axon guidance receptors to endosomal compartments is crucial for their function, signaling output and expression levels. For example, active receptors within endosomes can recruit downstream proteins to the endosomal membrane and facilitate signaling. Also, endosomal trafficking can re-locate receptors back to the plasma membrane to allow re-activation or mediate downregulation of receptor signaling via degradation. Accumulating evidence suggests that axon guidance receptors do not follow a pre-set default trafficking route but may change their localization within endosomes. This re-routing appears to be spatially and temporally regulated, either by expression of adaptor proteins or co-receptors. These findings shed light on how signaling in axon guidance is regulated and diversified - a mechanism which explains how a limited set of guidance cues can help to establish billions of neuronal connections. In this review, we summarize and discuss our current knowledge of axon guidance receptor trafficking and provide directions for future research.
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Affiliation(s)
- R J Pasterkamp
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, the Netherlands.
| | - K Burk
- Department of Neurology, University Medical Center Göttingen, 37075 Göttingen, Germany; Center for Biostructural Imaging of Neurodegeneration, 37075 Göttingen, Germany.
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74
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Kandilya D, Shyamasundar S, Singh DK, Banik A, Hande MP, Stünkel W, Chong YS, Dheen ST. High glucose alters the DNA methylation pattern of neurodevelopment associated genes in human neural progenitor cells in vitro. Sci Rep 2020; 10:15676. [PMID: 32973238 PMCID: PMC7518427 DOI: 10.1038/s41598-020-72485-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 08/28/2020] [Indexed: 12/13/2022] Open
Abstract
Maternal diabetes alters the global epigenetic mechanisms and expression of genes involved in neural tube development in mouse embryos. Since DNA methylation is a critical epigenetic mechanism that regulates gene functions, gene-specific DNA methylation alterations were estimated in human neural progenitor cells (hNPCs) exposed to high glucose (HG) in the present study. The DNA methylation pattern of genes involved in several signalling pathways including axon guidance (SLIT1-ROBO2 pathway), and Hippo pathway (YAP and TAZ) was altered in hNPCs exposed to HG. The expression levels of SLIT1-ROBO2 pathways genes (including its effectors, SRGAP1 and CDC42) which mediates diverse cellular processes such as proliferation, neurogenesis and axon guidance, and Hippo pathway genes (YAP and TAZ) which regulates proliferation, stemness, differentiation and organ size were downregulated in hNPCs exposed to HG. A recent report suggests a possible cross-talk between SLIT1-ROBO2 and TAZ via CDC42, a mediator of actin dynamics. Consistent with this, SLIT1 knockdown downregulated the expression of its effectors and TAZ in hNPCs, suggesting that HG perturbs the cross-talk between SLIT1-ROBO2 and TAZ in hNPCs. Overall, this study demonstrates that HG epigenetically alters the SLIT1-ROBO2 and Hippo signalling pathways in hNPCs, forming the basis for neurodevelopmental disorders in offspring of diabetic pregnancy.
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Affiliation(s)
- Deepika Kandilya
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, 4 Medical Drive, MD10, Level 4, Singapore, 117594, Singapore
| | - Sukanya Shyamasundar
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, 4 Medical Drive, MD10, Level 4, Singapore, 117594, Singapore
| | - Dhiraj Kumar Singh
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, 4 Medical Drive, MD10, Level 4, Singapore, 117594, Singapore
| | - Avijit Banik
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, 4 Medical Drive, MD10, Level 4, Singapore, 117594, Singapore
| | - Manoor Prakash Hande
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Walter Stünkel
- Experimental Drug Development Centre, Agency for Science, Technology and Research, Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - S Thameem Dheen
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, 4 Medical Drive, MD10, Level 4, Singapore, 117594, Singapore.
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75
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Abay-Nørgaard S, Attianese B, Boreggio L, Salcini AE. Regulators of H3K4 methylation mutated in neurodevelopmental disorders control axon guidance in Caenorhabditis elegans. Development 2020; 147:dev.190637. [PMID: 32675280 PMCID: PMC7420840 DOI: 10.1242/dev.190637] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 07/10/2020] [Indexed: 12/11/2022]
Abstract
Post-translational histone modifications regulate chromatin compaction and gene expression to control many aspects of development. Mutations in genes encoding regulators of H3K4 methylation are causally associated with neurodevelopmental disorders characterized by intellectual disability and deficits in motor functions. However, it remains unclear how H3K4 methylation influences nervous system development and contributes to the aetiology of disease. Here, we show that the catalytic activity of set-2, the Caenorhabditis elegans homologue of the H3K4 methyltransferase KMT2F/G (SETD1A/B) genes, controls embryonic transcription of neuronal genes and is required for establishing proper axon guidance, and for neuronal functions related to locomotion and learning. Moreover, we uncover a striking correlation between components of the H3K4 regulatory machinery mutated in neurodevelopmental disorders and the process of axon guidance in C. elegans. Thus, our study supports an epigenetic-based model for the aetiology of neurodevelopmental disorders, based on an aberrant axon guidance process originating from deregulated H3K4 methylation. Summary: Analysis of mutants lacking many known H3K4 regulators reveals the role of H3K4 methylation in C. elegans neuronal functions and suggests that aberrant axon guidance is a shared trait in neurodevelopmental diseases.
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Affiliation(s)
- Steffen Abay-Nørgaard
- BRIC, University of Copenhagen, Biotech Research and Innovation Centre, Ole Maaloes vej 5, 2200, Copenhagen, Denmark
| | - Benedetta Attianese
- BRIC, University of Copenhagen, Biotech Research and Innovation Centre, Ole Maaloes vej 5, 2200, Copenhagen, Denmark
| | - Laura Boreggio
- BRIC, University of Copenhagen, Biotech Research and Innovation Centre, Ole Maaloes vej 5, 2200, Copenhagen, Denmark
| | - Anna Elisabetta Salcini
- BRIC, University of Copenhagen, Biotech Research and Innovation Centre, Ole Maaloes vej 5, 2200, Copenhagen, Denmark
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76
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Trans-Axonal Signaling in Neural Circuit Wiring. Int J Mol Sci 2020; 21:ijms21145170. [PMID: 32708320 PMCID: PMC7404203 DOI: 10.3390/ijms21145170] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/15/2020] [Accepted: 07/17/2020] [Indexed: 12/24/2022] Open
Abstract
The development of neural circuits is a complex process that relies on the proper navigation of axons through their environment to their appropriate targets. While axon–environment and axon–target interactions have long been known as essential for circuit formation, communication between axons themselves has only more recently emerged as another crucial mechanism. Trans-axonal signaling governs many axonal behaviors, including fasciculation for proper guidance to targets, defasciculation for pathfinding at important choice points, repulsion along and within tracts for pre-target sorting and target selection, repulsion at the target for precise synaptic connectivity, and potentially selective degeneration for circuit refinement. This review outlines the recent advances in identifying the molecular mechanisms of trans-axonal signaling and discusses the role of axon–axon interactions during the different steps of neural circuit formation.
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77
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Fyn Tyrosine Kinase as Harmonizing Factor in Neuronal Functions and Dysfunctions. Int J Mol Sci 2020; 21:ijms21124444. [PMID: 32580508 PMCID: PMC7352836 DOI: 10.3390/ijms21124444] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/19/2020] [Accepted: 06/20/2020] [Indexed: 12/25/2022] Open
Abstract
Fyn is a non-receptor or cytoplasmatic tyrosine kinase (TK) belonging to the Src family kinases (SFKs) involved in multiple transduction pathways in the central nervous system (CNS) including synaptic transmission, myelination, axon guidance, and oligodendrocyte formation. Almost one hundred years after the original description of Fyn, this protein continues to attract extreme interest because of its multiplicity of actions in the molecular signaling pathways underlying neurodevelopmental as well as neuropathologic events. This review highlights and summarizes the most relevant recent findings pertinent to the role that Fyn exerts in the brain, emphasizing aspects related to neurodevelopment and synaptic plasticity. Fyn is a common factor in healthy and diseased brains that targets different proteins and shapes different transduction signals according to the neurological conditions. We will primarily focus on Fyn-mediated signaling pathways involved in neuronal differentiation and plasticity that have been subjected to considerable attention lately, opening the fascinating scenario to target Fyn TK for the development of potential therapeutic interventions for the treatment of CNS injuries and certain neurodegenerative disorders like Alzheimer’s disease.
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78
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Soleilhavoup C, Travaglio M, Patrick K, Garção P, Boobalan E, Adolfs Y, Spriggs RV, Moles-Garcia E, Dhiraj D, Oosterveen T, Ferri SL, Abel T, Brodkin ES, Pasterkamp RJ, Brooks BP, Panman L. Nolz1 expression is required in dopaminergic axon guidance and striatal innervation. Nat Commun 2020; 11:3111. [PMID: 32561725 PMCID: PMC7305235 DOI: 10.1038/s41467-020-16947-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 05/29/2020] [Indexed: 11/24/2022] Open
Abstract
Midbrain dopaminergic (DA) axons make long longitudinal projections towards the striatum. Despite the importance of DA striatal innervation, processes involved in establishment of DA axonal connectivity remain largely unknown. Here we demonstrate a striatal-specific requirement of transcriptional regulator Nolz1 in establishing DA circuitry formation. DA projections are misguided and fail to innervate the striatum in both constitutive and striatal-specific Nolz1 mutant embryos. The lack of striatal Nolz1 expression results in nigral to pallidal lineage conversion of striatal projection neuron subtypes. This lineage switch alters the composition of secreted factors influencing DA axonal tract formation and renders the striatum non-permissive for dopaminergic and other forebrain tracts. Furthermore, transcriptomic analysis of wild-type and Nolz1−/− mutant striatal tissue led to the identification of several secreted factors that underlie the observed guidance defects and proteins that promote DA axonal outgrowth. Together, our data demonstrate the involvement of the striatum in orchestrating dopaminergic circuitry formation. The mechanisms regulating midbrain dopaminergic innervation during development are unclear. Here, the authors showed that Nolz1 is required for axonal guidance of dopaminergic neurons during embryonic development of the mouse brain.
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Affiliation(s)
- Clement Soleilhavoup
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Marco Travaglio
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Kieran Patrick
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Pedro Garção
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Elangovan Boobalan
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Youri Adolfs
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, 3584 CG, Utrecht, The Netherlands
| | - Ruth V Spriggs
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Emma Moles-Garcia
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Dalbir Dhiraj
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Tony Oosterveen
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK
| | - Sarah L Ferri
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, 52242, USA
| | - Ted Abel
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, 52242, USA
| | - Edward S Brodkin
- Center for Neurobiology and Behavior, Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104-3403, USA
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, 3584 CG, Utrecht, The Netherlands
| | - Brian P Brooks
- Ophthalmic Genetics & Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Lia Panman
- MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester, LE1 9HN, UK.
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79
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Ho WY, Chang JC, Tyan SH, Yen YC, Lim K, Tan BSY, Ong J, Tucker-Kellogg G, Wong P, Koo E, Ling SC. FUS-mediated dysregulation of Sema5a, an autism-related gene, in FUS mice with hippocampus-dependent cognitive deficits. Hum Mol Genet 2020; 28:3777-3791. [PMID: 31509188 DOI: 10.1093/hmg/ddz217] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 08/02/2019] [Accepted: 09/02/2019] [Indexed: 01/20/2023] Open
Abstract
Pathological fused in sarcoma (FUS) inclusions are found in 10% of patients with frontotemporal dementia and those with amyotrophic lateral sclerosis (ALS) carrying FUS mutations. Current work indicates that FUS mutations may incur gain-of-toxic functions to drive ALS pathogenesis. However, how FUS dysfunction may affect cognition remains elusive. Using a mouse model expressing wild-type human FUS mimicking the endogenous expression pattern and level within the central nervous system, we found that they developed hippocampus-mediated cognitive deficits accompanied by an age-dependent reduction in spine density and long-term potentiation in their hippocampus. However, there were no apparent FUS aggregates, nuclear envelope defects and cytosolic FUS accumulation. These suggest that these proposed pathogenic mechanisms may not be the underlying causes for the observed cognitive deficits. Unbiased transcriptomic analysis identified expression changes in a small set of genes with preferential expression in the neurons and oligodendrocyte lineage cells. Of these, we focused on Sema5a, a gene involved in axon guidance, spine dynamics, Parkinson's disease and autism spectrum disorders. Critically, FUS binds directly to Sema5a mRNA and regulates Sema5a expression in a FUS-dose-dependent manner. Taken together, our data suggest that FUS-driven Sema5a deregulation may underlie the cognitive deficits in FUS transgenic mice.
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Affiliation(s)
- Wan Yun Ho
- Department of Physiology, National University of Singapore, 117549, Singapore
| | - Jer-Cherng Chang
- Department of Physiology, National University of Singapore, 117549, Singapore
| | - Sheue-Houy Tyan
- Department of Medicine, National University of Singapore, 117549, Singapore
| | - Yi-Chun Yen
- Department of Physiology, National University of Singapore, 117549, Singapore
| | - Kenneth Lim
- Department of Physiology, National University of Singapore, 117549, Singapore
| | - Bernice Siu Yan Tan
- Department of Physiology, National University of Singapore, 117549, Singapore
| | - Jolynn Ong
- Department of Physiology, National University of Singapore, 117549, Singapore
| | - Greg Tucker-Kellogg
- Department of Biological Sciences, National University of Singapore, 117549, Singapore
| | - Peiyan Wong
- Department of Pharmacology, National University of Singapore, 117549, Singapore
| | - Edward Koo
- Department of Medicine, National University of Singapore, 117549, Singapore.,Department of Neurosciences, University of California at San Diego, La Jolla, CA 92093, USA
| | - Shuo-Chien Ling
- Department of Physiology, National University of Singapore, 117549, Singapore.,Neurobiology/Ageing Programme, National University of Singapore, 117549, Singapore.,Program in Neuroscience and Behavior Disorders, Duke-NUS Medical School, 169857, Singapore
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80
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Kober KM, Schumacher M, Conley YP, Topp K, Mazor M, Hammer MJ, Paul SM, Levine JD, Miaskowski C. Signaling pathways and gene co-expression modules associated with cytoskeleton and axon morphology in breast cancer survivors with chronic paclitaxel-induced peripheral neuropathy. Mol Pain 2020; 15:1744806919878088. [PMID: 31486345 PMCID: PMC6755139 DOI: 10.1177/1744806919878088] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Background The major dose-limiting toxicity of paclitaxel, one of the most commonly used
drugs to treat breast cancer, is peripheral neuropathy (paclitaxel-induced
peripheral neuropathy). Paclitaxel-induced peripheral neuropathy, which
persists into survivorship, has a negative impact on patient’s mood,
functional status, and quality of life. Currently, no interventions are
available to treat paclitaxel-induced peripheral neuropathy. A critical
barrier to the development of efficacious interventions is the lack of
understanding of the mechanisms that underlie paclitaxel-induced peripheral
neuropathy. While data from preclinical studies suggest that disrupting
cytoskeleton- and axon morphology-related processes are a potential
mechanism for paclitaxel-induced peripheral neuropathy, clinical evidence is
limited. The purpose of this study in breast cancer survivors was to
evaluate whether differential gene expression and co-expression patterns in
these pathways are associated with paclitaxel-induced peripheral
neuropathy. Methods Signaling pathways and gene co-expression modules associated with
cytoskeleton and axon morphology were identified between survivors who
received paclitaxel and did (n = 25) or did not (n = 25) develop
paclitaxel-induced peripheral neuropathy. Results Pathway impact analysis identified four significantly perturbed cytoskeleton-
and axon morphology-related signaling pathways. Weighted gene co-expression
network analysis identified three co-expression modules. One module was
associated with paclitaxel-induced peripheral neuropathy group membership.
Functional analysis found that this module was associated with four
signaling pathways and two ontology annotations related to cytoskeleton and
axon morphology. Conclusions This study, which is the first to apply systems biology approaches using
circulating whole blood RNA-seq data in a sample of breast cancer survivors
with and without chronic paclitaxel-induced peripheral neuropathy, provides
molecular evidence that cytoskeleton- and axon morphology-related mechanisms
identified in preclinical models of various types of neuropathic pain
including chemotherapy-induced peripheral neuropathy are found in breast
cancer survivors and suggests pathways and a module of genes for validation
and as potential therapeutic targets.
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Affiliation(s)
- Kord M Kober
- School of Nursing, University of California, San Francisco, CA, USA
| | - Mark Schumacher
- School of Medicine, University of California, San Francisco, CA, USA
| | - Yvette P Conley
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kimberly Topp
- School of Medicine, University of California, San Francisco, CA, USA
| | - Melissa Mazor
- School of Nursing, University of California, San Francisco, CA, USA
| | - Marilynn J Hammer
- Icahn School of Medicine, Mount Sinai Medical Center, New York, NY, USA
| | - Steven M Paul
- School of Nursing, University of California, San Francisco, CA, USA
| | - Jon D Levine
- School of Medicine, University of California, San Francisco, CA, USA
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Verheijen BM. Expression Profile of Long Non-Coding RNAs during Early Postnatal Development of Mouse Spinal Cord. Noncoding RNA 2020; 6:ncrna6020018. [PMID: 32443580 DOI: 10.3390/ncrna6020018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 05/13/2020] [Accepted: 05/14/2020] [Indexed: 01/03/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are a diverse class of transcripts that are >200 nucleotides long and lack significant protein-coding potential. LncRNAs are emerging as major regulators of gene expression networks in various physiological and pathological processes. Interestingly, many lncRNAs show tissue-specific expression, for example, in the nervous system. Although lncRNAs have been suggested to play key roles in the brain, most functions of neural lncRNAs remain poorly understood. In order to provide a catalog of lncRNA changes that occur in spinal cord during early postnatal development, RNA from mouse spinal cord was sequenced at different time points in the first week after birth (postnatal day 1 and postnatal day 7). Two hundred and ninty-six differentially expressed lncRNAs (FDR < 0.05) were identified in the resulting dataset. Altered transcripts were associated with several biological processes including myelination, neural differentiation, and glial cell development. PCR validation confirmed differential expression of select lncRNAs (i.e., Cerox1, lncOL3, Neat1, and Sox2ot). Additionally, analysis of circular RNAs (circRNAs), another class of non-coding RNA with regulatory potency, pointed out a number of circRNAs associated with spinal cord development. These data can be used as a resource for future studies on transcriptional changes during early postnatal nervous system development and studies of disorders that affect the spinal cord, e.g., spinal muscular atrophy.
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Affiliation(s)
- Bert M Verheijen
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands
- Laboratory for Experimental Neurology, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands
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82
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Expression of Genes Involved in Axon Guidance: How Much Have We Learned? Int J Mol Sci 2020; 21:ijms21103566. [PMID: 32443632 PMCID: PMC7278939 DOI: 10.3390/ijms21103566] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/15/2020] [Accepted: 05/16/2020] [Indexed: 12/20/2022] Open
Abstract
Neuronal axons are guided to their target during the development of the brain. Axon guidance allows the formation of intricate neural circuits that control the function of the brain, and thus the behavior. As the axons travel in the brain to find their target, they encounter various axon guidance cues, which interact with the receptors on the tip of the growth cone to permit growth along different signaling pathways. Although many scientists have performed numerous studies on axon guidance signaling pathways, we still have an incomplete understanding of the axon guidance system. Lately, studies on axon guidance have shifted from studying the signal transduction pathways to studying other molecular features of axon guidance, such as the gene expression. These new studies present evidence for different molecular features that broaden our understanding of axon guidance. Hence, in this review we will introduce recent studies that illustrate different molecular features of axon guidance. In particular, we will review literature that demonstrates how axon guidance cues and receptors regulate local translation of axonal genes and how the expression of guidance cues and receptors are regulated both transcriptionally and post-transcriptionally. Moreover, we will highlight the pathological relevance of axon guidance molecules to specific diseases.
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83
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Wenderski W, Wang L, Krokhotin A, Walsh JJ, Li H, Shoji H, Ghosh S, George RD, Miller EL, Elias L, Gillespie MA, Son EY, Staahl BT, Baek ST, Stanley V, Moncada C, Shipony Z, Linker SB, Marchetto MCN, Gage FH, Chen D, Sultan T, Zaki MS, Ranish JA, Miyakawa T, Luo L, Malenka RC, Crabtree GR, Gleeson JG. Loss of the neural-specific BAF subunit ACTL6B relieves repression of early response genes and causes recessive autism. Proc Natl Acad Sci U S A 2020; 117:10055-10066. [PMID: 32312822 PMCID: PMC7211998 DOI: 10.1073/pnas.1908238117] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Synaptic activity in neurons leads to the rapid activation of genes involved in mammalian behavior. ATP-dependent chromatin remodelers such as the BAF complex contribute to these responses and are generally thought to activate transcription. However, the mechanisms keeping such "early activation" genes silent have been a mystery. In the course of investigating Mendelian recessive autism, we identified six families with segregating loss-of-function mutations in the neuronal BAF (nBAF) subunit ACTL6B (originally named BAF53b). Accordingly, ACTL6B was the most significantly mutated gene in the Simons Recessive Autism Cohort. At least 14 subunits of the nBAF complex are mutated in autism, collectively making it a major contributor to autism spectrum disorder (ASD). Patient mutations destabilized ACTL6B protein in neurons and rerouted dendrites to the wrong glomerulus in the fly olfactory system. Humans and mice lacking ACTL6B showed corpus callosum hypoplasia, indicating a conserved role for ACTL6B in facilitating neural connectivity. Actl6b knockout mice on two genetic backgrounds exhibited ASD-related behaviors, including social and memory impairments, repetitive behaviors, and hyperactivity. Surprisingly, mutation of Actl6b relieved repression of early response genes including AP1 transcription factors (Fos, Fosl2, Fosb, and Junb), increased chromatin accessibility at AP1 binding sites, and transcriptional changes in late response genes associated with early response transcription factor activity. ACTL6B loss is thus an important cause of recessive ASD, with impaired neuron-specific chromatin repression indicated as a potential mechanism.
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Affiliation(s)
- Wendy Wenderski
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Lu Wang
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92037
- Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92037
- Rady Children's Institute of Genomic Medicine, University of California San Diego, La Jolla, CA 92037
| | - Andrey Krokhotin
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Jessica J Walsh
- Nancy Pritztker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford Medical School, Palo Alto, CA 94305
| | - Hongjie Li
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
- Department of Biology, Stanford University, Palo Alto, CA 94305
| | - Hirotaka Shoji
- Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, 470-1192 Toyoake, Aichi, Japan
| | - Shereen Ghosh
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92037
- Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92037
- Rady Children's Institute of Genomic Medicine, University of California San Diego, La Jolla, CA 92037
| | - Renee D George
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92037
- Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92037
- Rady Children's Institute of Genomic Medicine, University of California San Diego, La Jolla, CA 92037
| | - Erik L Miller
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Laura Elias
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | | | - Esther Y Son
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Brett T Staahl
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Seung Tae Baek
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92037
- Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92037
- Rady Children's Institute of Genomic Medicine, University of California San Diego, La Jolla, CA 92037
| | - Valentina Stanley
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92037
- Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92037
- Rady Children's Institute of Genomic Medicine, University of California San Diego, La Jolla, CA 92037
| | - Cynthia Moncada
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Zohar Shipony
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Sara B Linker
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037
| | - Maria C N Marchetto
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037
| | - Fred H Gage
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037
| | - Dillon Chen
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92037
- Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92037
- Rady Children's Institute of Genomic Medicine, University of California San Diego, La Jolla, CA 92037
| | - Tipu Sultan
- Department of Pediatric Neurology, Institute of Child Health, Children Hospital Lahore, 54000 Lahore, Pakistan
| | - Maha S Zaki
- Clinical Genetics Department, Human Genetics and Genome Research Division, National Research Centre, 12311 Cairo, Egypt
| | | | - Tsuyoshi Miyakawa
- Division of Systems Medical Science, Institute for Comprehensive Medical Science, Fujita Health University, 470-1192 Toyoake, Aichi, Japan
| | - Liqun Luo
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
- Department of Biology, Stanford University, Palo Alto, CA 94305
| | - Robert C Malenka
- Nancy Pritztker Laboratory, Department of Psychiatry and Behavioral Sciences, Stanford Medical School, Palo Alto, CA 94305
| | - Gerald R Crabtree
- Department of Pathology, Stanford Medical School, Palo Alto, CA 94305;
- Department of Genetics, Stanford Medical School, Palo Alto, CA 94305
- Department of Developmental Biology, Stanford Medical School, Palo Alto, CA 94305
- Howard Hughes Medical Institute, Stanford University, Palo Alto, CA 94305
| | - Joseph G Gleeson
- Department of Neuroscience, University of California San Diego, La Jolla, CA 92037;
- Howard Hughes Medical Institute, University of California San Diego, La Jolla, CA 92037
- Rady Children's Institute of Genomic Medicine, University of California San Diego, La Jolla, CA 92037
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Gokuladhas S, Schierding W, Cameron-Smith D, Wake M, Scotter EL, O’Sullivan J. Shared Regulatory Pathways Reveal Novel Genetic Correlations Between Grip Strength and Neuromuscular Disorders. Front Genet 2020; 11:393. [PMID: 32391060 PMCID: PMC7194178 DOI: 10.3389/fgene.2020.00393] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 03/30/2020] [Indexed: 12/13/2022] Open
Abstract
Muscle weakness is a common consequence of both aging (sarcopenia) and neuromuscular disorders (NMD). Whilst genome-wide association (GWA) studies have identified genetic variants associated with grip strength (GS; measure of muscle strength/weakness) and NMDs, including multiple sclerosis (MS), myasthenia gravis (MG) and amyotrophic lateral sclerosis (ALS), it is not known whether there are common mechanisms between these phenotypes. To examine this, we have integrated GS and NMD associated genetic variants (single nucleotide polymorphisms; SNPs) in a multimorbid analysis that leverages high-throughput chromatin interaction (Hi-C) data and expression quantitative trait loci data to identify target genes (i.e., SNP-mediated gene regulation). Biological pathways enriched by these genes were then identified using next-generation pathway enrichment analysis. Lastly, druggable genes were identified using drug gene interaction (DGI) database. We identified gene regulatory mechanisms associated with GS, MG, MS, and ALS. The SNPs associated with GS regulate a subset of genes that are also regulated by the SNPs of MS, MG, and ALS. Yet, we did not find any genes commonly regulated by all four phenotype associated SNPs. By contrast, we identified significant enrichment in three pathways (mTOR signaling, axon guidance, and alcoholism) that are commonly affected by the gene regulatory mechanisms associated with all four phenotypes. 13% of the genes we identified were known drug targets, and GS shares at least one druggable gene and pathway with each of the NMD phenotypes. We have identified significant biological overlaps between GS and NMD, demonstrating the potential for spatial genetic analysis to identify common mechanisms between potential multimorbid phenotypes. Collectively, our results form the foundation for a shift from a gene to a pathway-based approach to the rationale design of therapeutic interventions and treatments for NMD.
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Affiliation(s)
| | | | - David Cameron-Smith
- Liggins Institute, The University of Auckland, Auckland, New Zealand
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Melissa Wake
- Murdoch Children’s Research Institute, The University of Melbourne, Parkville, VIC, Australia
| | - Emma L. Scotter
- Department of Pharmacology and Clinical Pharmacology, The University of Auckland, Auckland, New Zealand
- Centre for Brain Research, The University of Auckland, Auckland, New Zealand
| | - Justin O’Sullivan
- Liggins Institute, The University of Auckland, Auckland, New Zealand
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85
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Arbeev KG, Bagley O, Ukraintseva SV, Wu D, Duan H, Kulminski AM, Stallard E, Christensen K, Lee JH, Thyagarajan B, Zmuda JM, Yashin AI. Genetics of physiological dysregulation: findings from the long life family study using joint models. Aging (Albany NY) 2020; 12:5920-5947. [PMID: 32235003 PMCID: PMC7185144 DOI: 10.18632/aging.102987] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 03/24/2020] [Indexed: 12/16/2022]
Abstract
Recently, Mahalanobis distance (DM) was suggested as a statistical measure of physiological dysregulation in aging individuals. We constructed DM variants using sets of biomarkers collected at the two visits of the Long Life Family Study (LLFS) and performed joint analyses of longitudinal observations of DM and follow-up mortality in LLFS using joint models. We found that DM is significantly associated with mortality (hazard ratio per standard deviation: 1.31 [1.16, 1.48] to 2.22 [1.84, 2.67]) after controlling for age and other covariates. GWAS of random intercepts and slopes of DM estimated from joint models found a genome-wide significant SNP (rs12652543, p=7.2×10-9) in the TRIO gene associated with the slope of DM constructed from biomarkers declining in late life. Review of biological effects of genes corresponding to top SNPs from GWAS of DM slopes revealed that these genes are broadly involved in cancer prognosis and axon guidance/synapse function. Although axon growth is mainly observed during early development, the axon guidance genes can function in adults and contribute to maintenance of neural circuits and synaptic plasticity. Our results indicate that decline in axons' ability to maintain complex regulatory networks may potentially play an important role in the increase in physiological dysregulation during aging.
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Affiliation(s)
- Konstantin G Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
| | - Svetlana V Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
| | - Deqing Wu
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
| | - Hongzhe Duan
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
| | - Alexander M Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
| | - Eric Stallard
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
| | - Kaare Christensen
- Danish Aging Research Center, Department of Public Health, University of Southern Denmark 5000, Odense C, Denmark
| | - Joseph H Lee
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY 10032, USA.,G. H. Sergievsky Center, Columbia University, New York, NY 10032, USA.,Departments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY 10032, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Joseph M Zmuda
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Anatoliy I Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham NC, 27708, USA
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86
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Forero A, Ku HP, Malpartida AB, Wäldchen S, Alhama-Riba J, Kulka C, Aboagye B, Norton WHJ, Young AMJ, Ding YQ, Blum R, Sauer M, Rivero O, Lesch KP. Serotonin (5-HT) neuron-specific inactivation of Cadherin-13 impacts 5-HT system formation and cognitive function. Neuropharmacology 2020; 168:108018. [PMID: 32113967 DOI: 10.1016/j.neuropharm.2020.108018] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 02/15/2020] [Accepted: 02/23/2020] [Indexed: 02/06/2023]
Abstract
Genome-wide screening approaches identified the cell adhesion molecule Cadherin-13 (CDH13) as a risk factor for neurodevelopmental disorders, nevertheless the contribution of CDH13 to the disease mechanism remains obscure. CDH13 is involved in neurite outgrowth and axon guidance during early brain development and we previously provided evidence that constitutive CDH13 deficiency influences the formation of the raphe serotonin (5-HT) system by modifying neuron-radial glia interaction. Here, we dissect the specific impact of CDH13 on 5-HT system development and function using a 5-HT neuron-specific Cdh13 knockout mouse model (conditional Cdh13 knockout, Cdh13 cKO). Our results show that exclusive inactivation of CDH13 in 5-HT neurons selectively increases 5-HT neuron density in the embryonic dorsal raphe, with persistence into adulthood, and serotonergic innervation of the developing prefrontal cortex. At the behavioral level, adult Cdh13 cKO mice display delayed acquisition of several learning tasks and a subtle impulsive-like phenotype, with decreased latency in a sociability paradigm alongside with deficits in visuospatial memory. Anxiety-related traits were not observed in Cdh13 cKO mice. Our findings further support the critical role of CDH13 in the development of dorsal raphe 5-HT circuitries, a mechanism that may underlie specific clinical features observed in neurodevelopmental disorders.
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Affiliation(s)
- Andrea Forero
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany.
| | - Hsing-Ping Ku
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Ana Belén Malpartida
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Sina Wäldchen
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Würzburg, Germany
| | - Judit Alhama-Riba
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Christina Kulka
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Benjamin Aboagye
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - William H J Norton
- Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK
| | - Andrew M J Young
- Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK
| | - Yu-Qiang Ding
- Institute of Brain Sciences, Fudan University, Shanghai, 200031, China
| | - Robert Blum
- Institute of Clinical Neurobiology, University of Würzburg, Würzburg, Germany
| | - Markus Sauer
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Würzburg, Germany
| | - Olga Rivero
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany
| | - Klaus-Peter Lesch
- Division of Molecular Psychiatry, Center of Mental Health, University of Würzburg, Würzburg, Germany; Laboratory of Psychiatric Neurobiology, Institute of Molecular Medicine, Sechenov First Moscow State Medical University, Moscow, Russia; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands.
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87
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Ma Y, Li J, Xu Y, Wang Y, Yao Y, Liu Q, Wang M, Zhao X, Fan R, Chen J, Zhang B, Cai Z, Han H, Yang Z, Yuan W, Zhong Y, Chen X, Ma JZ, Payne TJ, Xu Y, Ning Y, Cui W, Li MD. Identification of 34 genes conferring genetic and pharmacological risk for the comorbidity of schizophrenia and smoking behaviors. Aging (Albany NY) 2020; 12:2169-2225. [PMID: 32012119 PMCID: PMC7041787 DOI: 10.18632/aging.102735] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 01/02/2020] [Indexed: 12/13/2022]
Abstract
The prevalence of smoking is significantly higher in persons with schizophrenia (SCZ) than in the general population. However, the biological mechanisms of the comorbidity of smoking and SCZ are largely unknown. This study aimed to reveal shared biological pathways for the two diseases by analyzing data from two genome-wide association studies with a total sample size of 153,898. With pathway-based analysis, we first discovered 18 significantly enriched pathways shared by SCZ and smoking, which were classified into five groups: postsynaptic density, cadherin binding, dendritic spine, long-term depression, and axon guidance. Then, by using an integrative analysis of genetic, epigenetic, and expression data, we found not only 34 critical genes (e.g., PRKCZ, ARHGEF3, and CDKN1A) but also various risk-associated SNPs in these genes, which convey susceptibility to the comorbidity of the two disorders. Finally, using both in vivo and in vitro data, we demonstrated that the expression profiles of the 34 genes were significantly altered by multiple psychotropic drugs. Together, this multi-omics study not only reveals target genes for new drugs to treat SCZ but also reveals new insights into the shared genetic vulnerabilities of SCZ and smoking behaviors.
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Affiliation(s)
- Yunlong Ma
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yan Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yinghao Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiang Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Maiqiu Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xinyi Zhao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Rongli Fan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiali Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Bin Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhen Cai
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haijun Han
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhongli Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenji Yuan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yigang Zhong
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiangning Chen
- Institute of Personalized Medicine, University of Nevada at Las Vegas, Las Vegas, NV 89154, USA
| | - Jennie Z Ma
- , Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22904, USA
| | - Thomas J Payne
- Department of Otolaryngology and Communicative Sciences, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Yizhou Xu
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenyan Cui
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ming D Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, China
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88
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Vosberg DE, Leyton M, Flores C. The Netrin-1/DCC guidance system: dopamine pathway maturation and psychiatric disorders emerging in adolescence. Mol Psychiatry 2020; 25:297-307. [PMID: 31659271 PMCID: PMC6974431 DOI: 10.1038/s41380-019-0561-7] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 08/01/2019] [Accepted: 08/19/2019] [Indexed: 02/02/2023]
Abstract
Axon guidance molecules direct growing axons toward their targets, assembling the intricate wiring of the nervous system. One of these molecules, Netrin-1, and its receptor, DCC (deleted in colorectal cancer), has profound effects, in laboratory animals, on the adolescent expansion of mesocorticolimbic pathways, particularly dopamine. Now, a rapidly growing literature suggests that (1) these same alterations could occur in humans, and (2) genetic variants in Netrin-1 and DCC are associated with depression, schizophrenia, and substance use. Together, these findings provide compelling evidence that Netrin-1 and DCC influence mesocorticolimbic-related psychopathological states that emerge during adolescence.
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Affiliation(s)
- Daniel E Vosberg
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada
- Population Neuroscience and Developmental Neuroimaging, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
| | - Marco Leyton
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada.
- Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
| | - Cecilia Flores
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada.
- Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
- Douglas Mental Health University Institute, Montreal, QC, Canada.
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89
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Ziak J, Weissova R, Jeřábková K, Janikova M, Maimon R, Petrasek T, Pukajova B, Kleisnerova M, Wang M, Brill MS, Kasparek P, Zhou X, Alvarez-Bolado G, Sedlacek R, Misgeld T, Stuchlik A, Perlson E, Balastik M. CRMP2 mediates Sema3F-dependent axon pruning and dendritic spine remodeling. EMBO Rep 2020; 21:e48512. [PMID: 31919978 DOI: 10.15252/embr.201948512] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 12/11/2019] [Accepted: 12/12/2019] [Indexed: 11/09/2022] Open
Abstract
Regulation of axon guidance and pruning of inappropriate synapses by class 3 semaphorins are key to the development of neural circuits. Collapsin response mediator protein 2 (CRMP2) has been shown to regulate axon guidance by mediating semaphorin 3A (Sema3A) signaling; however, nothing is known about its role in synapse pruning. Here, using newly generated crmp2-/- mice we demonstrate that CRMP2 has a moderate effect on Sema3A-dependent axon guidance in vivo, and its deficiency leads to a mild defect in axon guidance in peripheral nerves and the corpus callosum. Surprisingly, crmp2-/- mice display prominent defects in stereotyped axon pruning in hippocampus and visual cortex and altered dendritic spine remodeling, which is consistent with impaired Sema3F signaling and with models of autism spectrum disorder (ASD). We demonstrate that CRMP2 mediates Sema3F signaling in primary neurons and that crmp2-/- mice display ASD-related social behavior changes in the early postnatal period as well as in adults. Together, we demonstrate that CRMP2 mediates Sema3F-dependent synapse pruning and its dysfunction shares histological and behavioral features of ASD.
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Affiliation(s)
- Jakub Ziak
- Department of Molecular Neurobiology, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.,Faculty of Science, Charles University in Prague, Prague, Czech Republic
| | - Romana Weissova
- Department of Molecular Neurobiology, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.,Faculty of Science, Charles University in Prague, Prague, Czech Republic
| | - Kateřina Jeřábková
- Department of Transgenic Models of Diseases and Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Martina Janikova
- Department of Neurophysiology of the Memory, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Roy Maimon
- Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Tomas Petrasek
- Department of Neurophysiology of the Memory, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Barbora Pukajova
- Department of Molecular Neurobiology, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.,Faculty of Science, Charles University in Prague, Prague, Czech Republic
| | - Marie Kleisnerova
- Department of Molecular Neurobiology, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Mengzhe Wang
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
| | - Monika S Brill
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
| | - Petr Kasparek
- Department of Transgenic Models of Diseases and Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Xunlei Zhou
- Institute of Anatomy and Cell Biology, Heidelberg University, Heidelberg, Germany
| | | | - Radislav Sedlacek
- Department of Transgenic Models of Diseases and Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Thomas Misgeld
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany.,German Center for Neurodegenerative Diseases and Munich Cluster for Systems Neurology, Munich, Germany
| | - Ales Stuchlik
- Department of Neurophysiology of the Memory, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Eran Perlson
- Department of Physiology and Pharmacology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Martin Balastik
- Department of Molecular Neurobiology, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic
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90
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Accogli A, Addour-Boudrahem N, Srour M. Neurogenesis, neuronal migration, and axon guidance. HANDBOOK OF CLINICAL NEUROLOGY 2020; 173:25-42. [PMID: 32958178 DOI: 10.1016/b978-0-444-64150-2.00004-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Development of the central nervous system (CNS) is a complex, dynamic process that involves a precisely orchestrated sequence of genetic, environmental, biochemical, and physical factors from early embryonic stages to postnatal life. Duringthe past decade, great strides have been made to unravel mechanisms underlying human CNS development through the employment of modern genetic techniques and experimental approaches. In this chapter, we review the current knowledge regarding the main developmental processes and signaling mechanisms of (i) neurogenesis, (ii) neuronal migration, and (iii) axon guidance. We discuss mechanisms related to neural stem cells proliferation, migration, terminal translocation of neuronal progenitors, and axon guidance and pathfinding. For each section, we also provide a comprehensive overview of the underlying regulatory processes, including transcriptional, posttranscriptional, and epigenetic factors, and a myriad of signaling pathways that are pivotal to determine the fate of neuronal progenitors and newly formed migrating neurons. We further highlight how impairment of this complex regulating system, such as mutations in its core components, may cause cortical malformation, epilepsy, intellectual disability, and autism in humans. A thorough understanding of normal human CNS development is thus crucial to decipher mechanisms responsible for neurodevelopmental disorders and in turn guide the development of effective and targeted therapeutic strategies.
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Affiliation(s)
- Andrea Accogli
- Unit of Medical Genetics, Istituto Giannina Gaslini Pediatric Hospital, Genova, Italy; Departments of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal-Child Science, Università degli Studi di Genova, Genova, Italy
| | | | - Myriam Srour
- Research Institute, McGill University Health Centre, Montreal, QC, Canada; Department of Pediatrics, Division of Pediatric Neurology, McGill University, Montreal, QC, Canada.
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91
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Yuan S, Li H, Xie J, Sun X. Quantitative Trait Module-Based Genetic Analysis of Alzheimer's Disease. Int J Mol Sci 2019; 20:E5912. [PMID: 31775305 PMCID: PMC6928939 DOI: 10.3390/ijms20235912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/21/2019] [Accepted: 11/22/2019] [Indexed: 01/02/2023] Open
Abstract
The pathological features of Alzheimer's Disease (AD) first appear in the medial temporal lobe and then in other brain structures with the development of the disease. In this work, we investigated the association between genetic loci and subcortical structure volumes of AD on 393 samples in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Brain subcortical structures were clustered into modules using Pearson's correlation coefficient of volumes across all samples. Module volumes were used as quantitative traits to identify not only the main effect loci but also the interactive effect loci for each module. Thirty-five subcortical structures were clustered into five modules, each corresponding to a particular brain structure/area, including the limbic system (module I), the corpus callosum (module II), thalamus-cerebellum-brainstem-pallidum (module III), the basal ganglia neostriatum (module IV), and the ventricular system (module V). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results indicate that the gene annotations of the five modules were distinct, with few overlaps between different modules. We identified several main effect loci and interactive effect loci for each module. All these loci are related to the function of module structures and basic biological processes such as material transport and signal transduction.
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Affiliation(s)
| | | | | | - Xiao Sun
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; (S.Y.)
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92
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Zelina P, Pasterkamp RJ. Axons Navigate Noise with 190RhoGAP. Neuron 2019; 102:512-514. [PMID: 31071282 DOI: 10.1016/j.neuron.2019.04.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
In this issue of Neuron, Bonanomi et al. (2019) investigate how navigating axons ignore irrelevant guidance signals. They show that the binding of p190RhoGAP to DCC suppresses inappropriate responses to Netrin-1, allowing motor axons to exit the embryonic spinal cord.
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Affiliation(s)
- Pavol Zelina
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CG, the Netherlands
| | - R Jeroen Pasterkamp
- Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht 3584 CG, the Netherlands.
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93
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Yin Y, Li B, Mou K, Khan MT, Kaushik AC, Wei D, Zhang YJ. Stoichioproteomics reveal oxygen usage bias, key proteins and pathways in glioma. BMC Med Genomics 2019; 12:125. [PMID: 31464612 PMCID: PMC6716898 DOI: 10.1186/s12920-019-0571-y] [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: 04/04/2019] [Accepted: 08/12/2019] [Indexed: 02/08/2023] Open
Abstract
Background The five-year survival rate and therapeutic effect of malignant glioma is low. Identification of key/associated proteins and pathways in glioma is necessary for developing effective diagnosis and targeted therapy of glioma. In addition, Glioma involves hypoxia-specific microenvironment, whether hypoxia restriction influences the stoichioproteomic characteristics of expressed proteins is unknown. Methods In this study, we analyzed the most comprehensive immunohistochemical data from 12 human glioma samples and 4 normal cell types of cerebral cortex, identified differentially expressed proteins (DEPs), and researched the oxygen contents of DEPs, highly and lowly expressed proteins. Further we located key genes on human genome to determine their locations and enriched them for key functional pathways. Results Our results showed that although no difference was detected on whole proteome, the average oxygen content of highly expressed proteins is 6.65% higher than that of lowly expressed proteins in glioma. A total of 1480 differentially expressed proteins were identified in glioma, including 226 up regulated proteins and 1254 down regulated proteins. The average oxygen content of up regulated proteins is 2.56% higher than that of down regulated proteins in glioma. The localization of differentially expressed genes on human genome showed that most genes were on chromosome 1 and least on Y. The up regulated proteins were significantly enriched in pathways including cell cycle, pathways in cancer, oocyte meiosis, DNA replication etc. Functional dissection of the up regulated proteins with high oxygen contents showed that 51.28% of the proteins were involved in cell cycle and cyclins. Conclusions Element signature of oxygen limitation could not be detected in glioma, just as what happened in plants and microbes. Unsaved use of oxygen by the highly expressed proteins and DEPs were adapted to the fast division of glioma cells. This study can help to reveal the molecular mechanism of glioma, and provide a new approach for studies of cancer-related biomacromolecules. In addition, this study lays a foundation for application of stoichioproteomics in precision medicine. Electronic supplementary material The online version of this article (10.1186/s12920-019-0571-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yongqin Yin
- Chongqing Key Laboratory of Vector Insects, Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Shapingba, University City, Chongqing, 401331, People's Republic of China
| | - Bo Li
- Chongqing Key Laboratory of Vector Insects, Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Shapingba, University City, Chongqing, 401331, People's Republic of China
| | - Kejie Mou
- Department of Neurosurgery, Bishan Hospital, Bishan, Chongqing, 402760, China
| | - Muhammad T Khan
- Shanghai Jiao Tong University, Shanghai, China.,Capital University of Science & Technology, Islamabad, Pakistan
| | | | - Dongqing Wei
- Shanghai Jiao Tong University, Shanghai, China. .,Peng Cheng Laboratory, Vanke Cloud City Phase I Building 8, Xili Street, Nanshan District, Shenzhen, Guangdong, 518055, China.
| | - Yu-Juan Zhang
- Chongqing Key Laboratory of Vector Insects, Institute of Entomology and Molecular Biology, College of Life Sciences, Chongqing Normal University, Shapingba, University City, Chongqing, 401331, People's Republic of China.
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94
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Hossain MM, Tsuzuki T, Sakakibara K, Imaizumi F, Ikegaya A, Inagaki M, Takahashi I, Ito T, Takamatsu H, Kumanogoh A, Negishi T, Yukawa K. PlexinA1 is crucial for the midline crossing of callosal axons during corpus callosum development in BALB/cAJ mice. PLoS One 2019; 14:e0221440. [PMID: 31430342 PMCID: PMC6701775 DOI: 10.1371/journal.pone.0221440] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 08/06/2019] [Indexed: 12/04/2022] Open
Abstract
The corpus callosum (CC) is the biggest commissure that links cerebral hemispheres. Guidepost structures develop in the cortical midline during CC development and express axon guidance molecules that instruct neurons regarding the proper direction of axonal elongation toward and across the cortical midline. Neuropilin-1 (Npn1), a high affinity receptor for class 3 semaphorins (Sema3s) localized on cingulate pioneering axons, plays a crucial role in axon guidance to the midline through interactions with Sema3s. However, it remains unclear which type of Plexin is a component of Sema3 holoreceptors with Npn1 during the guidance of cingulate pioneering axons. To address the role of PlexinA1 in CC development, we examined with immunohistochemistry the localization of PlexinA1, Npn1, and Sema3s using embryonic brains from wild-type (WT) and PlexinA1-deficient (PlexinA1 knock-out (KO)) mice with a BALB/cAJ background. The immunohistochemistry confirmed the expression of PlexinA1 in callosal axons derived from the cingulate and neocortex of the WT mice on embryonic day 17.5 (E17.5) but not in the PlexinA1 KO mice. To examine the role of PlexinA1 in the navigation of callosal axons, the extension of callosal axons toward and across the midline was traced in brains of WT and PlexinA1 KO mice at E17.5. As a result, callosal axons in the PlexinA1 KO brains had a significantly lower incidence of midline crossing at E17.5 compared with the WT brains. To further examine the role of PlexinA1 in CC development, the CC phenotype was examined in PlexinA1 KO mice at postnatal day 0.5 (P0.5). Most of the PlexinA1 KO mice at P0.5 showed agenesis of the CC. These results indicate the crucial involvement of PlexinA1 in the midline crossing of callosal axons during CC development in BALB/cAJ mice.
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Affiliation(s)
| | - Takamasa Tsuzuki
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Kazuki Sakakibara
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Fumitaka Imaizumi
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Akihiro Ikegaya
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Mami Inagaki
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Ikuko Takahashi
- Radioisotope Center, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Takuji Ito
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Hyota Takamatsu
- Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Atsushi Kumanogoh
- Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Takayuki Negishi
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Kazunori Yukawa
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
- * E-mail:
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95
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Axonal Growth of Midbrain Dopamine Neurons is Modulated by the Cell Adhesion Molecule ALCAM Through Trans-Heterophilic Interactions with L1cam, Chl1, and Semaphorins. J Neurosci 2019; 39:6656-6667. [PMID: 31300520 DOI: 10.1523/jneurosci.0278-19.2019] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 05/21/2019] [Accepted: 07/03/2019] [Indexed: 12/17/2022] Open
Abstract
The growth of axons corresponding to different neuronal subtypes is governed by unique expression profiles of molecules on the growth cone. These molecules respond to extracellular cues either locally though cell adhesion interactions or over long distances through diffusible gradients. Here, we report that that the cell adhesion molecule ALCAM (CD166) can act as an extracellular substrate to selectively promote the growth of murine midbrain dopamine (mDA) neuron axons through a trans-heterophilic interaction with mDA-bound adhesion molecules. In mixed-sex primary midbrain cultures, the growth-promoting effect of ALCAM was abolished by neutralizing antibodies for components of the Semaphorin receptor complex Nrp1, Chl1, or L1cam. The ALCAM substrate was also found to modulate the response of mDA neurites to soluble semaphorins in a context-specific manner by abolishing the growth-promoting effect of Sema3A but inducing a branching response in the presence of Sema3C. These findings identify a previously unrecognized guidance mechanism whereby cell adhesion molecules act in trans to modulate the response of axonal growth cones to soluble gradients to selectively orchestrate the growth and guidance of mDA neurons.SIGNIFICANCE STATEMENT The mechanisms governing the axonal connectivity of midbrain dopamine (mDA) neurons during neural development have remained rather poorly understood relative to other model systems for axonal growth and guidance. Here, we report a series of novel interactions between proteins previously not identified in the context of mDA neuronal growth. Significantly, the results suggest a previously unrecognized mechanism involving the convergence in signaling between local, adhesion and long-distance, soluble cues. A better understanding of the molecules and mechanisms involved in establishment of the mDA system is important as a part of ongoing efforts to understand the consequence of conditions that may result from aberrant connectivity and also for cell replacement strategies for Parkinson's disease.
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96
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Wang Q, Liu Z, Lin Z, Zhang R, Lu Y, Su W, Li F, Xu X, Tu M, Lou Y, Zhao J, Zheng X. De Novo Germline Mutations in SEMA5A Associated With Infantile Spasms. Front Genet 2019; 10:605. [PMID: 31354784 PMCID: PMC6635550 DOI: 10.3389/fgene.2019.00605] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 06/07/2019] [Indexed: 11/13/2022] Open
Abstract
Infantile spasm (IS) is an early-onset epileptic encephalopathy that usually presents with hypsarrhythmia on an electroencephalogram with developmental impairment or regression. In this study, whole-exome sequencing was performed to detect potential pathogenic de novo mutations, and finally we identified a novel damaging de novo mutation in SEMA5A and a compound heterozygous mutation in CLTCL1 in three sporadic trios with IS. The expression profiling of SEMA5A in the human brain showed that it was mainly highly expressed in the cerebral cortex, during the early brain development stage (8 to 9 post-conception weeks and 0 to 5 months after birth). In addition, we identified a close protein-protein interaction network between SEMA5A and candidate genes associated with epilepsy, autism spectrum disorder (ASD) or intellectual disability. Gene enrichment and function analysis demonstrated that genes interacting with SEMA5A were significantly enriched in several brain regions across early fetal development, including the cortex, cerebellum, striatum and thalamus (q < 0.05), and were involved in axonal, neuronal and synapse-associated processes. Furthermore, SEMA5A and its interacting genes were associated with ASD, epilepsy syndrome and developmental disorders of mental health. Our results provide insightful information indicating that SEMA5A may contribute to the development of the brain and is associated with IS. However, further genetic studies are still needed to evaluate the role of SEMA5A in IS to definitively establish the role of SEMA5A in this disorder.
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Affiliation(s)
- Qiongdan Wang
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Zhenwei Liu
- Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, China
| | - Zhongdong Lin
- Department of Pediatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Ru Zhang
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yutian Lu
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Weijue Su
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Feng Li
- Department of Pediatric Neurology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xi Xu
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Mengyun Tu
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yongliang Lou
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.,Key Laboratory of Laboratory Medicine, Ministry of Education, Wenzhou, Zhejiang, China
| | - Junzhao Zhao
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiaoqun Zheng
- Department of Laboratory Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.,Key Laboratory of Laboratory Medicine, Ministry of Education, Wenzhou, Zhejiang, China
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97
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Halpain S. Avoiding Sibling Conflict: Lessons from Dendrite Self-Avoidance in C. elegans. Neuron 2019; 98:235-237. [PMID: 29673473 DOI: 10.1016/j.neuron.2018.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In this issue of Neuron, Liao and colleagues (2018) uncover a surprising way that the guidance molecule MIG14/Wntless operates in dendrite self-avoidance in sensorimotor neurons. Not only does MIG14/Wntless not require the soluble cue Wntless, but it can mediate direct cell-cell contact at the plasma membrane. During dendrite tip contact, MIG14/Wntless drives local bursts of WASP-dependent actin filament assembly that facilitate sister dendrite repulsion.
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Affiliation(s)
- Shelley Halpain
- Section of Neurobiology, UC San Diego Division of Biological Science and Sanford Consortium for Regenerative Medicine, La Jolla, CA, USA.
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98
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Lee WS, Lee WH, Bae YC, Suk K. Axon Guidance Molecules Guiding Neuroinflammation. Exp Neurobiol 2019; 28:311-319. [PMID: 31308791 PMCID: PMC6614065 DOI: 10.5607/en.2019.28.3.311] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/08/2019] [Accepted: 05/09/2019] [Indexed: 12/19/2022] Open
Abstract
Axon guidance molecules (AGMs), such as Netrins, Semaphorins, and Ephrins, have long been known to regulate axonal growth in the developing nervous system. Interestingly, the chemotactic properties of AGMs are also important in the postnatal period, such as in the regulation of immune and inflammatory responses. In particular, AGMs play pivotal roles in inflammation of the nervous system, by either stimulating or inhibiting inflammatory responses, depending on specific ligand-receptor combinations. Understanding such regulatory functions of AGMs in neuroinflammation may allow finding new molecular targets to treat neurodegenerative diseases, in which neuroinflammation underlies aetiology and progression.
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Affiliation(s)
- Won Suk Lee
- Department of Pharmacology, School of Medicine, Kyungpook National University, Daegu 41944, Korea.,Brain Science and Engineering Institute, Kyungpook National University, Daegu 41944, Korea
| | - Won-Ha Lee
- BK21 Plus KNU Creative BioResearch Group, School of Life Sciences, Kyungpook National University, Daegu 41566, Korea
| | - Yong Chul Bae
- Department of Anatomy and Neurobiology, School of Dentistry, Kyungpook National University, Daegu 41940, Korea
| | - Kyoungho Suk
- Department of Pharmacology, School of Medicine, Kyungpook National University, Daegu 41944, Korea.,Brain Science and Engineering Institute, Kyungpook National University, Daegu 41944, Korea
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99
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Blanco FA, Czikora A, Kedei N, You Y, Mitchell GA, Pany S, Ghosh A, Blumberg PM, Das J. Munc13 Is a Molecular Target of Bryostatin 1. Biochemistry 2019; 58:3016-3030. [PMID: 31243993 PMCID: PMC6620733 DOI: 10.1021/acs.biochem.9b00427] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
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Bryostatin
1 is a natural macrolide shown to improve neuronal connections and
enhance memory in mice. Its mechanism of action is largely attributed
to the modulation of novel and conventional protein kinase Cs (PKCs)
by binding to their regulatory C1 domains. Munc13-1 is a C1 domain-containing
protein that shares common endogenous and exogenous activators with
novel and conventional PKC subtypes. Given the essential role of Munc13-1
in the priming of synaptic vesicles and neuronal transmission overall,
we explored the potential interaction between bryostatin 1 and Munc13-1.
Our results indicate that in vitro bryostatin 1 binds
to both the isolated C1 domain of Munc13-1 (Ki = 8.07 ± 0.90 nM) and the full-length Munc13-1 protein
(Ki = 0.45 ± 0.04 nM). Furthermore,
confocal microscopy and immunoblot analysis demonstrated that in intact
HT22 cells bryostatin 1 mimics the actions of phorbol esters, a previously
established class of Munc13-1 activators, and induces plasma membrane
translocation of Munc13-1, a hallmark of its activation. Consistently,
bryostatin 1 had no effect on the Munc13-1H567K construct
that is insensitive to phorbol esters. Effects of bryostatin 1 on
the other Munc13 family members, ubMunc13-2 and bMunc13-2, resembled
those of Munc13-1 for translocation. Lastly, we observed an increased
level of expression of Munc13-1 following a 24 h incubation with bryostatin
1 in both HT22 and primary mouse hippocampal cells. This study characterizes
Munc13-1 as a molecular target of bryostatin 1. Considering the crucial
role of Munc13-1 in neuronal function, these findings provide strong
support for the potential role of Munc13s in the actions of bryostatin
1.
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Affiliation(s)
- Francisco A Blanco
- Department of Pharmacological & Pharmaceutical Sciences, College of Pharmacy , University of Houston , Houston , Texas 77204 , United States
| | - Agnes Czikora
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Noemi Kedei
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Youngki You
- Department of Pharmacological & Pharmaceutical Sciences, College of Pharmacy , University of Houston , Houston , Texas 77204 , United States
| | - Gary A Mitchell
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Satyabrata Pany
- Department of Pharmacological & Pharmaceutical Sciences, College of Pharmacy , University of Houston , Houston , Texas 77204 , United States
| | - Anamitra Ghosh
- Department of Pharmacological & Pharmaceutical Sciences, College of Pharmacy , University of Houston , Houston , Texas 77204 , United States
| | - Peter M Blumberg
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Joydip Das
- Department of Pharmacological & Pharmaceutical Sciences, College of Pharmacy , University of Houston , Houston , Texas 77204 , United States
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100
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Patel DS, Xu N, Lu H. Digging deeper: methodologies for high-content phenotyping in Caenorhabditis elegans. Lab Anim (NY) 2019; 48:207-216. [PMID: 31217565 DOI: 10.1038/s41684-019-0326-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Accepted: 05/17/2019] [Indexed: 11/09/2022]
Abstract
Deep phenotyping is an emerging conceptual paradigm and experimental approach aimed at measuring and linking many aspects of a phenotype to understand its underlying biology. To date, deep phenotyping has been applied mostly in cultured cells and used less in multicellular organisms. However, in the past decade, it has increasingly been recognized that deep phenotyping could lead to a better understanding of how genetics, environment and stochasticity affect the development, physiology and behavior of an organism. The nematode Caenorhabditis elegans is an invaluable model system for studying how genes affect a phenotypic trait, and new technologies have taken advantage of the worm's physical attributes to increase the throughput and informational content of experiments. Coupling of these technical advancements with computational and analytical tools has enabled a boom in deep-phenotyping studies of C. elegans. In this Review, we highlight how these new technologies and tools are digging into the biological origins of complex, multidimensional phenotypes.
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Affiliation(s)
- Dhaval S Patel
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Nan Xu
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.,The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Hang Lu
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
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