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Van Daele SH, Moisse M, van Vugt JJFA, Zwamborn RAJ, van der Spek R, van Rheenen W, Van Eijk K, Kenna K, Corcia P, Vourc'h P, Couratier P, Hardiman O, McLaughin R, Gotkine M, Drory V, Ticozzi N, Silani V, Ratti A, de Carvalho M, Mora Pardina JS, Povedano M, Andersen PM, Weber M, Başak NA, Shaw C, Shaw PJ, Morrison KE, Landers JE, Glass JD, van Es MA, van den Berg LH, Al-Chalabi A, Veldink J, Van Damme P. Genetic variability in sporadic amyotrophic lateral sclerosis. Brain 2023; 146:3760-3769. [PMID: 37043475 PMCID: PMC10473563 DOI: 10.1093/brain/awad120] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/10/2023] [Accepted: 03/23/2023] [Indexed: 04/13/2023] Open
Abstract
With the advent of gene therapies for amyotrophic lateral sclerosis (ALS), there is a surge in gene testing for this disease. Although there is ample experience with gene testing for C9orf72, SOD1, FUS and TARDBP in familial ALS, large studies exploring genetic variation in all ALS-associated genes in sporadic ALS (sALS) are still scarce. Gene testing in a diagnostic setting is challenging, given the complex genetic architecture of sALS, for which there are genetic variants with large and small effect sizes. Guidelines for the interpretation of genetic variants in gene panels and for counselling of patients are lacking. We aimed to provide a thorough characterization of genetic variability in ALS genes by applying the American College of Medical Genetics and Genomics (ACMG) criteria on whole genome sequencing data from a large cohort of 6013 sporadic ALS patients and 2411 matched controls from Project MinE. We studied genetic variation in 90 ALS-associated genes and applied customized ACMG-criteria to identify pathogenic and likely pathogenic variants. Variants of unknown significance were collected as well. In addition, we determined the length of repeat expansions in C9orf72, ATXN1, ATXN2 and NIPA1 using the ExpansionHunter tool. We found C9orf72 repeat expansions in 5.21% of sALS patients. In 50 ALS-associated genes, we did not identify any pathogenic or likely pathogenic variants. In 5.89%, a pathogenic or likely pathogenic variant was found, most commonly in SOD1, TARDBP, FUS, NEK1, OPTN or TBK1. Significantly more cases carried at least one pathogenic or likely pathogenic variant compared to controls (odds ratio 1.75; P-value 1.64 × 10-5). Isolated risk factors in ATXN1, ATXN2, NIPA1 and/or UNC13A were detected in 17.33% of cases. In 71.83%, we did not find any genetic clues. A combination of variants was found in 2.88%. This study provides an inventory of pathogenic and likely pathogenic genetic variation in a large cohort of sALS patients. Overall, we identified pathogenic and likely pathogenic variants in 11.13% of ALS patients in 38 known ALS genes. In line with the oligogenic hypothesis, we found significantly more combinations of variants in cases compared to controls. Many variants of unknown significance may contribute to ALS risk, but diagnostic algorithms to reliably identify and weigh them are lacking. This work can serve as a resource for counselling and for the assembly of gene panels for ALS. Further characterization of the genetic architecture of sALS is necessary given the growing interest in gene testing in ALS.
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Affiliation(s)
- Sien Hilde Van Daele
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, and Leuven Institute for Neuroscience and Disease (LIND), 3000 Leuven, Belgium
- VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, 3000 Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, 3000 Leuven, Belgium
- Department of Human genetics, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Matthieu Moisse
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, and Leuven Institute for Neuroscience and Disease (LIND), 3000 Leuven, Belgium
- VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, 3000 Leuven, Belgium
| | - Joke J F A van Vugt
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Ramona A J Zwamborn
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Rick van der Spek
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Wouter van Rheenen
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Kristel Van Eijk
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Kevin Kenna
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Philippe Corcia
- Centre SLA, CHRU de Tours, 37044 Tours, France
- UMR 1253, iBrain, Université de Tours, Inserm, 37032 Tours, France
| | - Patrick Vourc'h
- UMR 1253, iBrain, Université de Tours, Inserm, 37032 Tours, France
| | | | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin D02 PN40, Republic of Ireland
| | - Russell McLaughin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin D02 PN40, Republic of Ireland
| | - Marc Gotkine
- The Agnes Ginges Center for Human Neurogenetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, 91120 Jerusalem, Israel
| | - Vivian Drory
- Department of Neurology, Tel-Aviv Sourasky Medical Centre, 64239 Tel Aviv, Israel
| | - Nicola Ticozzi
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, 20149 Milano, Italy
- Department of Pathophysiology and Transplantation, ‘Dino Ferrari’ Center, Università degli Studi di Milano, 20122 Milan, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, 20149 Milano, Italy
- Department of Pathophysiology and Transplantation, ‘Dino Ferrari’ Center, Università degli Studi di Milano, 20122 Milan, Italy
| | - Antonia Ratti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, 20149 Milano, Italy
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, 20133 Milano, Italy
| | - Mamede de Carvalho
- Instituto de Fisiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
| | | | | | - Peter M Andersen
- Department of Clinical Science, Neurosciences, Umeå University, 901 87 Umeå, Sweden
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St. Gallen, 9007 St. Gallen, Switzerland
| | - Nazli A Başak
- Koç University, School of Medicine, KUTTAM-NDAL, 34010 Istanbul, Turkey
| | - Chris Shaw
- Maurice Wohl Clinical Neuroscience Institute, King's College London, Department of Basic and Clinical Neuroscience, London SE5 9RT, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield S10 2HQ, UK
| | - Karen E Morrison
- School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast BT9 7BL, UK
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Jonathan D Glass
- Department Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Michael A van Es
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, King's College London, Department of Basic and Clinical Neuroscience, London SE5 9RT, UK
| | - Jan Veldink
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Philip Van Damme
- Department of Neurosciences, Experimental Neurology, KU Leuven—University of Leuven, and Leuven Institute for Neuroscience and Disease (LIND), 3000 Leuven, Belgium
- VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, 3000 Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, 3000 Leuven, Belgium
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2
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Wang F, Liu X, He J, Zhang N, Chen L, Tang L, Fan D. Analysis of ERBB4 Variants in Amyotrophic Lateral Sclerosis Within a Chinese Cohort. Front Neurol 2022; 13:865264. [PMID: 35481267 PMCID: PMC9035935 DOI: 10.3389/fneur.2022.865264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 03/04/2022] [Indexed: 11/13/2022] Open
Abstract
ERBB4 is related to amyotrophic lateral sclerosis (ALS) in patients with a family history and is thought to cause ALS-19. We screened 448 ALS patients, including 364 sporadic ALS (sALS) and 84 familial ALS (fALS) patients with ERBB4 variants, in a Chinese cohort. In total, 12 missense variants were identified in this study. Of these, 3 (p.Arg106His, p.Gln164Pro, and p.Val212Leu) were absent from the in-house healthy control cohort and population databases and predicted to be likely pathogenic. Genetic burden analysis did not reveal an increase in damaging variants of the ERBB4 gene. We considered that most of the missense variants in ERBB4 were not pathogenic, but certain variants, such as p.Arg106His, p.Gln164Pro, and p.Val212Leu, were likely pathogenic. The phenotype of these three patients carrying ERBB4 variants revealed the typical clinical manifestations of ALS without cognitive dysfunction. We concluded that ERBB4 likely pathogenic variants account for ~0.67% of ALS patients in China. It is necessary to interpret the relationship between the disease and variants carefully for ALS patients with ERBB4 gene variants.
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Affiliation(s)
- Fan Wang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Xiangyi Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Ji He
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Nan Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Lu Chen
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Lu Tang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
- *Correspondence: Dongsheng Fan
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3
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Morello G, Salomone S, D’Agata V, Conforti FL, Cavallaro S. From Multi-Omics Approaches to Precision Medicine in Amyotrophic Lateral Sclerosis. Front Neurosci 2020; 14:577755. [PMID: 33192262 PMCID: PMC7661549 DOI: 10.3389/fnins.2020.577755] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 10/13/2020] [Indexed: 12/12/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating and fatal neurodegenerative disorder, caused by the degeneration of upper and lower motor neurons for which there is no truly effective cure. The lack of successful treatments can be well explained by the complex and heterogeneous nature of ALS, with patients displaying widely distinct clinical features and progression patterns, and distinct molecular mechanisms underlying the phenotypic heterogeneity. Thus, stratifying ALS patients into consistent and clinically relevant subgroups can be of great value for the development of new precision diagnostics and targeted therapeutics for ALS patients. In the last years, the use and integration of high-throughput "omics" approaches have dramatically changed our thinking about ALS, improving our understanding of the complex molecular architecture of ALS, distinguishing distinct patient subtypes and providing a rational foundation for the discovery of biomarkers and new individualized treatments. In this review, we discuss the most significant contributions of omics technologies in unraveling the biological heterogeneity of ALS, highlighting how these approaches are revealing diagnostic, prognostic and therapeutic targets for future personalized interventions.
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Affiliation(s)
- Giovanna Morello
- Institute for Research and Biomedical Innovation (IRIB), Italian National Research Council (CNR), Catania, Italy
- Section of Pharmacology, Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Salvatore Salomone
- Section of Pharmacology, Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Velia D’Agata
- Human Anatomy and Histology, University of Catania, Catania, Italy
| | | | - Sebastiano Cavallaro
- Institute for Research and Biomedical Innovation (IRIB), Italian National Research Council (CNR), Catania, Italy
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4
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Rojas P, Ramírez AI, Fernández-Albarral JA, López-Cuenca I, Salobrar-García E, Cadena M, Elvira-Hurtado L, Salazar JJ, de Hoz R, Ramírez JM. Amyotrophic Lateral Sclerosis: A Neurodegenerative Motor Neuron Disease With Ocular Involvement. Front Neurosci 2020; 14:566858. [PMID: 33071739 PMCID: PMC7544921 DOI: 10.3389/fnins.2020.566858] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/24/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that causes degeneration of the lower and upper motor neurons and is the most prevalent motor neuron disease. This disease is characterized by muscle weakness, stiffness, and hyperreflexia. Patients survive for a short period from the onset of the disease. Most cases are sporadic, with only 10% of the cases being genetic. Many genes are now known to be involved in familial ALS cases, including some of the sporadic cases. It has also been observed that, in addition to genetic factors, there are numerous molecular mechanisms involved in these pathologies, such as excitotoxicity, mitochondrial disorders, alterations in axonal transport, oxidative stress, accumulation of misfolded proteins, and neuroinflammation. This pathology affects the motor neurons, the spinal cord, the cerebellum, and the brain, but recently, it has been shown that it also affects the visual system. This impact occurs not only at the level of the oculomotor system but also at the retinal level, which is why the retina is being proposed as a possible biomarker of this pathology. The current review discusses the main aspects mentioned above related to ALS, such as the main genes involved, the most important molecular mechanisms that affect this pathology, its ocular involvement, and the possible usefulness of the retina as a biomarker.
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Affiliation(s)
- Pilar Rojas
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain.,Hospital General Universitario Gregorio Marañón, Instituto Oftálmico de Madrid, Madrid, Spain
| | - Ana I Ramírez
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain.,OFTARED, ISCIII, Madrid, Spain.,Departamento de Inmunología Oftalmología y ORL, Facultad de Óptica y Optometría, Universidad Complutense de Madrid, Madrid, Spain
| | - José A Fernández-Albarral
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain
| | - Inés López-Cuenca
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain
| | - Elena Salobrar-García
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain.,OFTARED, ISCIII, Madrid, Spain.,Departamento de Inmunología Oftalmología y ORL, Facultad de Óptica y Optometría, Universidad Complutense de Madrid, Madrid, Spain
| | - Manuel Cadena
- Hospital General Universitario Gregorio Marañón, Instituto Oftálmico de Madrid, Madrid, Spain
| | - Lorena Elvira-Hurtado
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain
| | - Juan J Salazar
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain.,OFTARED, ISCIII, Madrid, Spain.,Departamento de Inmunología Oftalmología y ORL, Facultad de Óptica y Optometría, Universidad Complutense de Madrid, Madrid, Spain
| | - Rosa de Hoz
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain.,OFTARED, ISCIII, Madrid, Spain.,Departamento de Inmunología Oftalmología y ORL, Facultad de Óptica y Optometría, Universidad Complutense de Madrid, Madrid, Spain
| | - José M Ramírez
- Instituto de Investigaciones Oftalmológicas Ramón Castroviejo, Universidad Complutense de Madrid, Madrid, Spain.,OFTARED, ISCIII, Madrid, Spain.,Departamento de Inmunología Oftalmología y ORL, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
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5
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Story BD, Miller ME, Bradbury AM, Million ED, Duan D, Taghian T, Faissler D, Fernau D, Beecy SJ, Gray-Edwards HL. Canine Models of Inherited Musculoskeletal and Neurodegenerative Diseases. Front Vet Sci 2020; 7:80. [PMID: 32219101 PMCID: PMC7078110 DOI: 10.3389/fvets.2020.00080] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Accepted: 01/31/2020] [Indexed: 12/11/2022] Open
Abstract
Mouse models of human disease remain the bread and butter of modern biology and therapeutic discovery. Nonetheless, more often than not mouse models do not reproduce the pathophysiology of the human conditions they are designed to mimic. Naturally occurring large animal models have predominantly been found in companion animals or livestock because of their emotional or economic value to modern society and, unlike mice, often recapitulate the human disease state. In particular, numerous models have been discovered in dogs and have a fundamental role in bridging proof of concept studies in mice to human clinical trials. The present article is a review that highlights current canine models of human diseases, including Alzheimer's disease, degenerative myelopathy, neuronal ceroid lipofuscinosis, globoid cell leukodystrophy, Duchenne muscular dystrophy, mucopolysaccharidosis, and fucosidosis. The goal of the review is to discuss canine and human neurodegenerative pathophysiologic similarities, introduce the animal models, and shed light on the ability of canine models to facilitate current and future treatment trials.
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Affiliation(s)
- Brett D. Story
- Auburn University College of Veterinary Medicine, Auburn, AL, United States
- University of Florida College of Veterinary Medicine, Gainesville, FL, United States
| | - Matthew E. Miller
- Auburn University College of Veterinary Medicine, Auburn, AL, United States
| | - Allison M. Bradbury
- Department of Clinical Sciences and Advanced Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Emily D. Million
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, United States
| | - Dongsheng Duan
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, MO, United States
- Department of Biomedical, Biological and Chemical Engineering, College of Engineering, University of Missouri, Columbia, MO, United States
- Department of Biomedical Sciences, College of Veterinary Medicine, University of Missouri, Columbia, MO, United States
- Department of Neurology, School of Medicine, University of Missouri, Columbia, MO, United States
| | - Toloo Taghian
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, United States
| | - Dominik Faissler
- Cummings School of Veterinary Medicine at Tufts University, North Grafton, MA, United States
| | - Deborah Fernau
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, United States
| | - Sidney J. Beecy
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, United States
- Cummings School of Veterinary Medicine at Tufts University, North Grafton, MA, United States
| | - Heather L. Gray-Edwards
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Radiology, University of Massachusetts Medical School, Worcester, MA, United States
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6
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Regulatory roles of the miR-200 family in neurodegenerative diseases. Biomed Pharmacother 2019; 119:109409. [PMID: 31518873 DOI: 10.1016/j.biopha.2019.109409] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 08/24/2019] [Accepted: 08/28/2019] [Indexed: 12/13/2022] Open
Abstract
Neurodegenerative diseases are chronic and progressive disorders which are not effectively treated through adopting conventional therapies. For this unmet medical need, alternative therapeutic methods including gene-based therapies are emphasized. MicroRNAs (miRNAs) are small non-coding RNAs which can regulate gene expression at the post-transcriptional level. In recent years, dysregulated miRNAs have been indicated to be implicated in the occurrence and development of neurodegenerative diseases. They are investigated as candidates for diagnostic and prognostic biomarkers, as well as therapeutic targets. The miR-200 family consists of miR-200a, -200b, -200c, -141, and -429. Numerous studies have found that miR-200 family members are associated with the pathogenesis of neurodegenerative diseases. It is reported that miR-200 family members are aberrantly expressed in several neurodegenerative diseases, participating in various cellular processes including beta-amyloid (Aβ) secretion, alpha-synuclein aggregation and DNA repair, etc. In the present review, we summarize the recent progress in the roles of miR-200 family in neurodegenerative diseases.
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7
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Huai J, Zhang Z. Structural Properties and Interaction Partners of Familial ALS-Associated SOD1 Mutants. Front Neurol 2019; 10:527. [PMID: 31164862 PMCID: PMC6536575 DOI: 10.3389/fneur.2019.00527] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 05/02/2019] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is the most common motor neuron degenerative disease in adults and has also been proven to be a type of conformational disease associated with protein misfolding and dysfunction. To date, more than 150 distinct genes have been found to be associated with ALS, among which Superoxide Dismutase 1 (SOD1) is the first and the most extensively studied gene. It has been well-established that SOD1 mutants-mediated toxicity is caused by a gain-of-function rather than the loss of the detoxifying activity of SOD1. Compared with the clear autosomal dominant inheritance of SOD1 mutants in ALS, the potential toxic mechanisms of SOD1 mutants in motor neurons remain incompletely understood. A large body of evidence has shown that SOD1 mutants may adopt a complex profile of conformations and interact with a wide range of client proteins. Here, in this review, we summarize the fundamental conformational properties and the gained interaction partners of the soluble forms of the SOD1 mutants which have been published in the past decades. Our goal is to find clues to the possible internal links between structural and functional anomalies of SOD1 mutants, as well as the relationships between their exposed epitopes and interaction partners, in order to help reveal and determine potential diagnostic and therapeutic targets.
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Affiliation(s)
- Jisen Huai
- Institute of Psychiatry and Neuroscience, Xinxiang Medical University, Xinxiang, China
| | - Zhongjian Zhang
- Institute of Psychiatry and Neuroscience, Xinxiang Medical University, Xinxiang, China
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8
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Khairoalsindi OA, Abuzinadah AR. Maximizing the Survival of Amyotrophic Lateral Sclerosis Patients: Current Perspectives. Neurol Res Int 2018; 2018:6534150. [PMID: 30159171 PMCID: PMC6109498 DOI: 10.1155/2018/6534150] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Accepted: 07/26/2018] [Indexed: 01/08/2023] Open
Abstract
Amyotrophic lateral sclerosis is a neurodegenerative disease that leads to loss of the upper and lower motor neurons. Almost 90% of all cases occur in the sporadic form, with the rest occurring in the familial form. The disease has a poor prognosis, with only two disease-modifying drugs approved by the United States Food and Drug Administration (FDA). The approved drugs for the disease have very limited survival benefits. Edaravone is a new FDA-approved medication that may slow the disease progression by 33% in a selected subgroup of ALS patients. This paper covers the various interventions that may provide survival benefits, such as early diagnosis, medications, gene therapy, stem cell therapy, diet, nutritional supplements, multidisciplinary clinics, and mechanical invasive and noninvasive ventilation. The recent data on masitinib, the role of enteral feeding, gene therapy, and stem cell therapy is discussed.
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Affiliation(s)
| | - Ahmad R. Abuzinadah
- King Abdulaziz University, Internal Medicine Department, Neurology Division, Jeddah, Saudi Arabia
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Hamzeiy H, Savaş D, Tunca C, Şen NE, Gündoğdu Eken A, Şahbaz I, Calini D, Tiloca C, Ticozzi N, Ratti A, Silani V, Başak AN. Elevated Global DNA Methylation Is Not Exclusive to Amyotrophic Lateral Sclerosis and Is Also Observed in Spinocerebellar Ataxia Types 1 and 2. NEURODEGENER DIS 2018; 18:38-48. [PMID: 29428949 DOI: 10.1159/000486201] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 12/08/2017] [Indexed: 12/12/2022] Open
Abstract
Adult-onset neurological disorders are caused and influenced by a multitude of different factors, including epigenetic modifications. Here, using an ELISA kit selected upon careful testing, we investigated global 5-methylcytosine (5-mC) levels in sporadic and familial amyotrophic lateral sclerosis (sALS and fALS), spinocerebellar ataxia types 1 and 2 (SCA1 and SCA2), Huntington's disease, Friedreich's ataxia, and myotonic dystrophy type 1. We report a significant elevation in global 5-mC levels of about 2-7% on average for sALS (p < 0.01 [F(1, 243) = 9.159, p = 0.0027]) and various forms of fALS along with SCA1 (p < 0.01 [F(1, 83) = 11.285], p = 0.0012) and SCA2 (p < 0.001 [F(1, 122) = 29.996, p = 0.0001]) when compared to age- and sex-matched healthy controls. C9orf72 expansion carrier ALS patients exhibit the highest global 5-mC levels along with C9orf72 promoter hypermethylation. We failed to measure global 5-hydroxymethylcytosine (5-hmC) levels in blood, probably due to the very low levels of 5-hmC and the limitations of the commercially available ELISA kits. Our results point towards a role for epigenetics modification in ALS, SCA1, and SCA2, and help conclude a dispute on the global 5-mC levels in sALS blood.
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Affiliation(s)
- Hamid Hamzeiy
- Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Molecular Biology and Genetics Department, Boğaziçi University, Istanbul, Turkey
| | - Doruk Savaş
- Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Molecular Biology and Genetics Department, Boğaziçi University, Istanbul, Turkey
| | - Ceren Tunca
- Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Molecular Biology and Genetics Department, Boğaziçi University, Istanbul, Turkey
| | - Nesli Ece Şen
- Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Molecular Biology and Genetics Department, Boğaziçi University, Istanbul, Turkey
| | - Aslı Gündoğdu Eken
- Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Molecular Biology and Genetics Department, Boğaziçi University, Istanbul, Turkey
| | - Irmak Şahbaz
- Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Molecular Biology and Genetics Department, Boğaziçi University, Istanbul, Turkey
| | - Daniela Calini
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Cinzia Tiloca
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Nicola Ticozzi
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
| | - Antonia Ratti
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.,Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milan, Italy
| | - A Nazlı Başak
- Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Molecular Biology and Genetics Department, Boğaziçi University, Istanbul, Turkey
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10
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Guo W, Fumagalli L, Prior R, Van Den Bosch L. Current Advances and Limitations in Modeling ALS/FTD in a Dish Using Induced Pluripotent Stem Cells. Front Neurosci 2017; 11:671. [PMID: 29326542 PMCID: PMC5733489 DOI: 10.3389/fnins.2017.00671] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 11/20/2017] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two age-dependent multifactorial neurodegenerative disorders, which are typically characterized by the selective death of motor neurons and cerebral cortex neurons, respectively. These two diseases share many clinical, genetic and pathological aspects. During the past decade, cell reprogramming technologies enabled researchers to generate human induced pluripotent stem cells (iPSCs) from somatic cells. This resulted in the unique opportunity to obtain specific neuronal and non-neuronal cell types from patients which could be used for basic research. Moreover, these in vitro models can mimic not only the familial forms of ALS/FTD, but also sporadic cases without known genetic cause. At present, there have been extensive technical advances in the generation of iPSCs, as well as in the differentiation procedures to obtain iPSC-derived motor neurons, cortical neurons and non-neuronal cells. The major challenge at this moment is to determine whether these iPSC-derived cells show relevant phenotypes that recapitulate complex diseases. In this review, we will summarize the work related to iPSC models of ALS and FTD. In addition, we will discuss potential drawbacks and solutions for establishing more trustworthy iPSC models for both ALS and FTD.
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Affiliation(s)
- Wenting Guo
- KU Leuven-Department of Neurosciences, Experimental Neurology and Leuven Institute for Neuroscience and Disease, Leuven, Belgium.,Laboratory of Neurobiology, VIB & KU Leuven Center for Brain & Disease Research, Leuven, Belgium
| | - Laura Fumagalli
- KU Leuven-Department of Neurosciences, Experimental Neurology and Leuven Institute for Neuroscience and Disease, Leuven, Belgium.,Laboratory of Neurobiology, VIB & KU Leuven Center for Brain & Disease Research, Leuven, Belgium
| | - Robert Prior
- KU Leuven-Department of Neurosciences, Experimental Neurology and Leuven Institute for Neuroscience and Disease, Leuven, Belgium.,Laboratory of Neurobiology, VIB & KU Leuven Center for Brain & Disease Research, Leuven, Belgium
| | - Ludo Van Den Bosch
- KU Leuven-Department of Neurosciences, Experimental Neurology and Leuven Institute for Neuroscience and Disease, Leuven, Belgium.,Laboratory of Neurobiology, VIB & KU Leuven Center for Brain & Disease Research, Leuven, Belgium
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11
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Gratten J, Zhao Q, Benyamin B, Garton F, He J, Leo PJ, Mangelsdorf M, Anderson L, Zhang ZH, Chen L, Chen XD, Cremin K, Deng HW, Edson J, Han YY, Harris J, Henders AK, Jin ZB, Li Z, Lin Y, Liu X, Marshall M, Mowry BJ, Ran S, Reutens DC, Song S, Tan LJ, Tang L, Wallace RH, Wheeler L, Wu J, Yang J, Xu H, Visscher PM, Bartlett PF, Brown MA, Wray NR, Fan D. Whole-exome sequencing in amyotrophic lateral sclerosis suggests NEK1 is a risk gene in Chinese. Genome Med 2017; 9:97. [PMID: 29149916 PMCID: PMC5693798 DOI: 10.1186/s13073-017-0487-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 10/30/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a progressive neurological disease characterised by the degeneration of motor neurons, which are responsible for voluntary movement. There remains limited understanding of disease aetiology, with median survival of ALS of three years and no effective treatment. Identifying genes that contribute to ALS susceptibility is an important step towards understanding aetiology. The vast majority of published human genetic studies, including for ALS, have used samples of European ancestry. The importance of trans-ethnic studies in human genetic studies is widely recognised, yet a dearth of studies of non-European ancestries remains. Here, we report analyses of novel whole-exome sequencing (WES) data from Chinese ALS and control individuals. METHODS WES data were generated for 610 ALS cases and 460 controls drawn from Chinese populations. We assessed evidence for an excess of rare damaging mutations at the gene level and the gene set level, considering only singleton variants filtered to have allele frequency less than 5 × 10-5 in reference databases. To meta-analyse our results with a published study of European ancestry, we used a Cochran-Mantel-Haenszel test to compare gene-level variant counts in cases vs controls. RESULTS No gene passed the genome-wide significance threshold with ALS in Chinese samples alone. Combining rare variant counts in Chinese with those from the largest WES study of European ancestry resulted in three genes surpassing genome-wide significance: TBK1 (p = 8.3 × 10-12), SOD1 (p = 8.9 × 10-9) and NEK1 (p = 1.1 × 10-9). In the Chinese data alone, SOD1 and NEK1 were nominally significantly associated with ALS (p = 0.04 and p = 7 × 10-3, respectively) and the case/control frequencies of rare coding variants in these genes were similar in Chinese and Europeans (SOD1: 1.5%/0.2% vs 0.9%/0.1%, NEK1 1.8%/0.4% vs 1.9%/0.8%). This was also true for TBK1 (1.2%/0.2% vs 1.4%/0.4%), but the association with ALS in Chinese was not significant (p = 0.14). CONCLUSIONS While SOD1 is already recognised as an ALS-associated gene in Chinese, we provide novel evidence for association of NEK1 with ALS in Chinese, reporting variants in these genes not previously found in Europeans.
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Affiliation(s)
- Jacob Gratten
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Qiongyi Zhao
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Beben Benyamin
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Fleur Garton
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Ji He
- Department of Neurology, Peking University Third Hospital, No 49, North Garden Road, Haidian District, Beijing, 100191, China
| | - Paul J Leo
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Marie Mangelsdorf
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Lisa Anderson
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Zong-Hong Zhang
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Lu Chen
- Department of Neurology, Peking University Third Hospital, No 49, North Garden Road, Haidian District, Beijing, 100191, China
| | - Xiang-Ding Chen
- Laboratory of Molecular and Statistical Genetics and the Key Laboratory of Protein Chemistry and Developmental Biology of the Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Katie Cremin
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Hong-Weng Deng
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St, Suite 2001, New Orleans, LA, 70112, USA
| | - Janette Edson
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Ying-Ying Han
- Center of System Biomedical Sciences, University of Shanghai for Science and Technology, 334, Jungong Road, Yangpu District, Shanghai, 200093, China
| | - Jessica Harris
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Anjali K Henders
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Zi-Bing Jin
- Division of Ophthalmic Genetics, Laboratory for Stem Cell and Retinal Regeneration, The Eye Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Zhongshan Li
- Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, 325027, China
| | - Yong Lin
- Center of System Biomedical Sciences, University of Shanghai for Science and Technology, 334, Jungong Road, Yangpu District, Shanghai, 200093, China
| | - Xiaolu Liu
- Department of Neurology, Peking University Third Hospital, No 49, North Garden Road, Haidian District, Beijing, 100191, China
| | - Mhairi Marshall
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Bryan J Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
- Queensland Centre for Mental Health Research, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Shu Ran
- Center of System Biomedical Sciences, University of Shanghai for Science and Technology, 334, Jungong Road, Yangpu District, Shanghai, 200093, China
| | - David C Reutens
- The Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Sharon Song
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Li-Jun Tan
- Laboratory of Molecular and Statistical Genetics and the Key Laboratory of Protein Chemistry and Developmental Biology of the Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
| | - Lu Tang
- Department of Neurology, Peking University Third Hospital, No 49, North Garden Road, Haidian District, Beijing, 100191, China
| | - Robyn H Wallace
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Lawrie Wheeler
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Jinyu Wu
- Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, 325027, China
| | - Jian Yang
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Huji Xu
- Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, The Second Military Medical University, Shanghai, 200003, China
| | - Peter M Visscher
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Perry F Bartlett
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Matthew A Brown
- University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD, 4102, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Naomi R Wray
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, 4072, Australia.
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, No 49, North Garden Road, Haidian District, Beijing, 100191, China
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12
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Zhou F, Zhang C, Guan Y, Chen Y, Lu Q, Jie L, Gao H, Du H, Zhang H, Liu Y, Wang X. Screening the expression characteristics of several miRNAs in G93A-SOD1
transgenic mouse: altered expression of miRNA-124 is associated with astrocyte differentiation by targeting Sox2 and Sox9. J Neurochem 2017; 145:51-67. [DOI: 10.1111/jnc.14229] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 09/18/2017] [Accepted: 09/23/2017] [Indexed: 12/25/2022]
Affiliation(s)
- Fenghua Zhou
- Department of Pathology; Weifang Medical University; Weifang Shandong China
| | - Caixia Zhang
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
| | - Yingjun Guan
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
| | - Yanchun Chen
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
- Department of Neurosurgery; Brigham and Women's Hospital; Harvard Medical School; Boston Massachusetts USA
| | - Qiang Lu
- Department of Pathology; Weifang Medical University; Weifang Shandong China
| | - Linlin Jie
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
| | - Hailing Gao
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
| | - Hongmei Du
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
| | - Haoyun Zhang
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
| | - Yongxin Liu
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
| | - Xin Wang
- Department of Histology and Embryology; Weifang Medical University; Weifang Shandong China
- Department of Neurosurgery; Brigham and Women's Hospital; Harvard Medical School; Boston Massachusetts USA
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13
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Eidhof I, Fenckova M, Elurbe DM, van de Warrenburg B, Castells Nobau A, Schenck A. High-throughput Analysis of Locomotor Behavior in the Drosophila Island Assay. J Vis Exp 2017. [PMID: 29155762 PMCID: PMC5755321 DOI: 10.3791/55892] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Advances in next-generation sequencing technologies contribute to the identification of (candidate) disease genes for movement disorders and other neurological diseases at an increasing speed. However, little is known about the molecular mechanisms that underlie these disorders. The genetic, molecular, and behavioral toolbox of Drosophila melanogaster makes this model organism particularly useful to characterize new disease genes and mechanisms in a high-throughput manner. Nevertheless, high-throughput screens require efficient and reliable assays that, ideally, are cost-effective and allow for the automatized quantification of traits relevant to these disorders. The island assay is a cost-effective and easily set-up method to evaluate Drosophila locomotor behavior. In this assay, flies are thrown onto a platform from a fixed height. This induces an innate motor response that enables the flies to escape from the platform within seconds. At present, quantitative analyses of filmed island assays are done manually, which is a laborious undertaking, particularly when performing large screens. This manuscript describes the "Drosophila Island Assay" and "Island Assay Analysis" algorithms for high-throughput, automated data processing and quantification of island assay data. In the setup, a simple webcam connected to a laptop collects an image series of the platform while the assay is performed. The "Drosophila Island Assay" algorithm developed for the open-source software Fiji processes these image series and quantifies, for each experimental condition, the number of flies on the platform over time. The "Island Assay Analysis" script, compatible with the free software R, was developed to automatically process the obtained data and to calculate whether treatments/genotypes are statistically different. This greatly improves the efficiency of the island assay and makes it a powerful readout for basic locomotion and flight behavior. It can thus be applied to large screens investigating fly locomotor ability, Drosophila models of movement disorders, and drug efficacy.
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Affiliation(s)
- Ilse Eidhof
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center
| | - Michaela Fenckova
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center
| | - Dei M Elurbe
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center
| | - Bart van de Warrenburg
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center
| | - Anna Castells Nobau
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center;
| | - Annette Schenck
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center;
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14
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Wang MD, Little J, Gomes J, Cashman NR, Krewski D. Identification of risk factors associated with onset and progression of amyotrophic lateral sclerosis using systematic review and meta-analysis. Neurotoxicology 2017; 61:101-130. [DOI: 10.1016/j.neuro.2016.06.015] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 06/29/2016] [Indexed: 12/11/2022]
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15
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CHCHD10 mutations in patients with amyotrophic lateral sclerosis in Mainland China. Neurobiol Aging 2017; 54:214.e7-214.e10. [PMID: 28318595 DOI: 10.1016/j.neurobiolaging.2017.02.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 02/11/2017] [Accepted: 02/16/2017] [Indexed: 12/12/2022]
Abstract
Many genes have been found to be pathogenic for amyotrophic lateral sclerosis (ALS). Among them, the coiled-coil-helix-coiled-coil-helix domain containing 10 (CHCHD10) has been reported to play a controversial role in ALS. We examined the coding region of this gene in 424 unrelated Chinese sporadic ALS subjects, 73 familial ALS subjects, and 204 healthy controls using a polymerase chain reaction-direct sequencing strategy. Two types of variants were identified, and of these, one variant (g.877C>T, p.P23L) was identified to be damaging, and the other one was (g.648G>A) in intron. The mutation (g.877C>T, p.P23L) has been previously reported in a Chinese frontotemporal dementia patient. Our study is the first to report the clinical heterogeneity of specific mutations in CHCHD10 in ALS in an Asian population and to report the possible new mutation hotspot. Our findings support the major role of CHCHD10 in the frontotemporal dementia-amyotrophic lateral sclerosis disease spectrum and stress the importance of mitochondrial abnormalities in the pathogenesis of diseases in Asian cohorts.
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16
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Jimenez-Pacheco A, Franco JM, Lopez S, Gomez-Zumaquero JM, Magdalena Leal-Lasarte M, Caballero-Hernandez DE, Cejudo-Guillén M, Pozo D. Epigenetic Mechanisms of Gene Regulation in Amyotrophic Lateral Sclerosis. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 978:255-275. [DOI: 10.1007/978-3-319-53889-1_14] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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17
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Chadi G, Maximino JR, Jorge FMDH, Borba FCD, Gilio JM, Callegaro D, Lopes CG, Santos SND, Rebelo GNS. Genetic analysis of patients with familial and sporadic amyotrophic lateral sclerosis in a Brazilian Research Center. Amyotroph Lateral Scler Frontotemporal Degener 2016; 18:249-255. [DOI: 10.1080/21678421.2016.1254245] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Gerson Chadi
- Neuroregeneration Center, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Jessica Ruivo Maximino
- Neuroregeneration Center, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | | | - Fabrício Castro de Borba
- Neuroregeneration Center, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Joyce Meire Gilio
- Neuroregeneration Center, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Dagoberto Callegaro
- Neuroregeneration Center, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Camila Galvão Lopes
- Neuroregeneration Center, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Samantha Nakamura Dos Santos
- Neuroregeneration Center, Department of Neurology, University of São Paulo School of Medicine, São Paulo, Brazil
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18
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Krüger S, Battke F, Sprecher A, Munz M, Synofzik M, Schöls L, Gasser T, Grehl T, Prudlo J, Biskup S. Rare Variants in Neurodegeneration Associated Genes Revealed by Targeted Panel Sequencing in a German ALS Cohort. Front Mol Neurosci 2016; 9:92. [PMID: 27790088 PMCID: PMC5061735 DOI: 10.3389/fnmol.2016.00092] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 09/20/2016] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive fatal multisystemic neurodegenerative disorder caused by preferential degeneration of upper and lower motor neurons. To further delineate the genetic architecture of the disease, we used comprehensive panel sequencing in a cohort of 80 German ALS patients. The panel covered 39 confirmed ALS genes and candidate genes, as well as 238 genes associated with other entities of the neurodegenerative disease spectrum. In addition, we performed repeat length analysis for C9orf72. Our aim was to (1) identify potentially disease-causing variants, to (2) assess a proposed model of polygenic inheritance in ALS and to (3) connect ALS with other neurodegenerative entities. We identified 79 rare potentially pathogenic variants in 27 ALS associated genes in familial and sporadic cases. Five patients had pathogenic C9orf72 repeat expansions, a further four patients harbored intermediate length repeat expansions. Our findings demonstrate that a genetic background of the disease can actually be found in a large proportion of seemingly sporadic cases and that it is not limited to putative most frequently affected genes such as C9orf72 or SOD1. Assessing the polygenic nature of ALS, we identified 15 patients carrying at least two rare potentially pathogenic variants in ALS associated genes including pathogenic or intermediate C9orf72 repeat expansions. Multiple variants might influence severity or duration of disease or could account for intrafamilial phenotypic variability or reduced penetrance. However, we could not observe a correlation with age of onset in this study. We further detected potentially pathogenic variants in other neurodegeneration associated genes in 12 patients, supporting the hypothesis of common pathways in neurodegenerative diseases and linking ALS to other entities of the neurodegenerative spectrum. Most interestingly we found variants in GBE1 and SPG7 which might represent differential diagnoses. Based on our findings, we recommend two-staged genetic testing for ALS in Germany in patients with familial and sporadic ALS, comprising C9orf72 repeat analysis followed by comprehensive panel sequencing including differential diagnoses that impair motor neuron function to meet the complexity of ALS genetics.
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Affiliation(s)
- Stefanie Krüger
- CeGaT GmbH, Center for Genomics and Transcriptomics Tübingen, Germany
| | - Florian Battke
- CeGaT GmbH, Center for Genomics and Transcriptomics Tübingen, Germany
| | - Andrea Sprecher
- CeGaT GmbH, Center for Genomics and Transcriptomics Tübingen, Germany
| | - Marita Munz
- CeGaT GmbH, Center for Genomics and TranscriptomicsTübingen, Germany; Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of TübingenTübingen, Germany
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of TübingenTübingen, Germany; German Research Center for Neurodegenerative DiseasesTübingen, Germany
| | - Ludger Schöls
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of TübingenTübingen, Germany; German Research Center for Neurodegenerative DiseasesTübingen, Germany
| | - Thomas Gasser
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of TübingenTübingen, Germany; German Research Center for Neurodegenerative DiseasesTübingen, Germany
| | - Torsten Grehl
- Department of Neurology, BG-Kliniken Bergmannsheil GmbH, Ruhr-University Bochum Bochum, Germany
| | - Johannes Prudlo
- Department of Neurology, University of RostockRostock, Germany; German Research Center for Neurodegenerative DiseasesRostock, Germany
| | - Saskia Biskup
- CeGaT GmbH, Center for Genomics and TranscriptomicsTübingen, Germany; Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of TübingenTübingen, Germany
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19
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20
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Zarei S, Carr K, Reiley L, Diaz K, Guerra O, Altamirano PF, Pagani W, Lodin D, Orozco G, Chinea A. A comprehensive review of amyotrophic lateral sclerosis. Surg Neurol Int 2015; 6:171. [PMID: 26629397 PMCID: PMC4653353 DOI: 10.4103/2152-7806.169561] [Citation(s) in RCA: 388] [Impact Index Per Article: 43.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Accepted: 08/12/2015] [Indexed: 12/20/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a late-onset fatal neurodegenerative disease affecting motor neurons with an incidence of about 1/100,000. Most ALS cases are sporadic, but 5–10% of the cases are familial ALS. Both sporadic and familial ALS (FALS) are associated with degeneration of cortical and spinal motor neurons. The etiology of ALS remains unknown. However, mutations of superoxide dismutase 1 have been known as the most common cause of FALS. In this study, we provide a comprehensive review of ALS. We cover all aspects of the disease including epidemiology, comorbidities, environmental risk factor, molecular mechanism, genetic factors, symptoms, diagnostic, treatment, and even the available supplement and management of ALS. This will provide the reader with an advantage of receiving a broad range of information about the disease.
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Affiliation(s)
- Sara Zarei
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | - Karen Carr
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | - Luz Reiley
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | - Kelvin Diaz
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | - Orleiquis Guerra
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | | | - Wilfredo Pagani
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | - Daud Lodin
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | - Gloria Orozco
- Department of Medicine, San Juan Bautista School of Medicine, Caguas, USA
| | - Angel Chinea
- Neurologist, Caribbean Neurological Center, Caguas, USA
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