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Gu X, Kovacs AS, Myung Y, Ascher DB. Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases. Biomolecules 2024; 14:497. [PMID: 38672513 PMCID: PMC11048727 DOI: 10.3390/biom14040497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/28/2024] Open
Abstract
Glycosylation, a crucial and the most common post-translational modification, coordinates a multitude of biological functions through the attachment of glycans to proteins and lipids. This process, predominantly governed by glycosyltransferases (GTs) and glycoside hydrolases (GHs), decides not only biomolecular functionality but also protein stability and solubility. Mutations in these enzymes have been implicated in a spectrum of diseases, prompting critical research into the structural and functional consequences of such genetic variations. This study compiles an extensive dataset from ClinVar and UniProt, providing a nuanced analysis of 2603 variants within 343 GT and GH genes. We conduct thorough MTR score analyses for the proteins with the most documented variants using MTR3D-AF2 via AlphaFold2 (AlphaFold v2.2.4) predicted protein structure, with the analyses indicating that pathogenic mutations frequently correlate with Beta Bridge secondary structures. Further, the calculation of the solvent accessibility score and variant visualisation show that pathogenic mutations exhibit reduced solvent accessibility, suggesting the mutated residues are likely buried and their localisation is within protein cores. We also find that pathogenic variants are often found proximal to active and binding sites, which may interfere with substrate interactions. We also incorporate computational predictions to assess the impact of these mutations on protein function, utilising tools such as mCSM to predict the destabilisation effect of variants. By identifying these critical regions that are prone to disease-associated mutations, our study opens avenues for designing small molecules or biologics that can modulate enzyme function or compensate for the loss of stability due to these mutations.
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Affiliation(s)
- Xiaotong Gu
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia; (X.G.); (A.S.K.); (Y.M.)
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - Aaron S. Kovacs
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia; (X.G.); (A.S.K.); (Y.M.)
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - Yoochan Myung
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia; (X.G.); (A.S.K.); (Y.M.)
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
| | - David B. Ascher
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD 4000, Australia; (X.G.); (A.S.K.); (Y.M.)
- Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC 3004, Australia
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2
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Vicente JB, Guerreiro ACL, Felgueiras B, Chapla D, Tehrani D, Moremen KW, Costa J. Glycosyltransferase 8 domain-containing protein 1 (GLT8D1) is a UDP-dependent galactosyltransferase. Sci Rep 2023; 13:21684. [PMID: 38066107 PMCID: PMC10709319 DOI: 10.1038/s41598-023-48605-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
Glycosyltransferases (GTs) are enzymes that catalyze the formation of glycosidic bonds and hundreds of GTs have been identified so far in humans. Glycosyltransferase 8 domain-containing protein 1 (GLT8D1) has been associated with central nervous system diseases and cancer. However, evidence on its enzymatic properties, including its substrates, has been scarcely described. In this paper, we have produced and purified recombinant secretory GLT8D1. The enzyme was found to be N-glycosylated. Differential scanning fluorimetry was employed to analyze the stabilization of GLT8D1 by Mn2+ and nucleotides, revealing UDP as the most stabilizing nucleotide scaffold. GLT8D1 displayed glycosyltransferase activity from UDP-galactose onto N-acetylgalactosamine but with a low efficiency. Modeling of the structure revealed similarities with other GT-A fold enzymes in CAZy family GT8 and glycosyltransferases in other families with galactosyl-, glucosyl-, and xylosyltransferase activities, each with retaining catalytic mechanisms. Our study provides novel structural and functional insights into the properties of GLT8D1 with implications in pathological processes.
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Affiliation(s)
- João B Vicente
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157, Oeiras, Portugal
| | - Ana Catarina L Guerreiro
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157, Oeiras, Portugal
- iBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901, Oeiras, Portugal
| | - Beatriz Felgueiras
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157, Oeiras, Portugal
| | - Digantkumar Chapla
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, 30602, USA
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Daniel Tehrani
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, 30602, USA
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Kelley W Moremen
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA, 30602, USA
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Júlia Costa
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157, Oeiras, Portugal.
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3
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Khurana S, Vats A, Gourie-Devi M, Sharma A, Verma S, Faruq M, Dhawan U, Taneja V. Clinical and Genetic Analysis of A Father-Son Duo with Monomelic Amyotrophy: Case Report. Ann Indian Acad Neurol 2023; 26:983-988. [PMID: 38229655 PMCID: PMC10789418 DOI: 10.4103/aian.aian_609_23] [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: 07/10/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 01/18/2024] Open
Abstract
Monomelic Amyotrophy (MMA) is a rare neurological disorder restricted to one upper limb, predominantly affecting young males with an unknown aetiopathogenesis. We report a familial case of father-son duo affected by MMA. Whole exome sequencing identified genetic variations in SLIT1, RYR3 and ARPP21 involved in axon guidance, calcium homeostasis and regulation of calmodulin signaling respectively. This is the first attempt to define genetic modifiers associated with MMA from India and advocates to extend genetic screening to a larger cohort. Deciphering the functional consequences of variations in these genes will be crucial for unravelling the pathogenesis of MMA.
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Affiliation(s)
- Shiffali Khurana
- Department of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India
- Department of Biomedical Science, Bhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India
| | - Abhishek Vats
- Department of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India
| | - Mandaville Gourie-Devi
- Department of Neurophysiology, Sir Ganga Ram Hospital, Delhi, India
- Department of Neurology, Sir Ganga Ram Hospital, Delhi, India
| | - Ankkita Sharma
- Department of Neurophysiology, Sir Ganga Ram Hospital, Delhi, India
| | - Sagar Verma
- Department of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India
| | - Mohammed Faruq
- Council of Scientific and Industrial Research, Institute of Genomics and Integrative Biology, Delhi, India
| | - Uma Dhawan
- Department of Biomedical Science, Bhaskaracharya College of Applied Sciences, University of Delhi, Delhi, India
| | - Vibha Taneja
- Department of Biotechnology and Research, Sir Ganga Ram Hospital, Delhi, India
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4
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Akçimen F, Lopez ER, Landers JE, Nath A, Chiò A, Chia R, Traynor BJ. Amyotrophic lateral sclerosis: translating genetic discoveries into therapies. Nat Rev Genet 2023; 24:642-658. [PMID: 37024676 PMCID: PMC10611979 DOI: 10.1038/s41576-023-00592-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2023] [Indexed: 04/08/2023]
Abstract
Recent advances in sequencing technologies and collaborative efforts have led to substantial progress in identifying the genetic causes of amyotrophic lateral sclerosis (ALS). This momentum has, in turn, fostered the development of putative molecular therapies. In this Review, we outline the current genetic knowledge, emphasizing recent discoveries and emerging concepts such as the implication of distinct types of mutation, variability in mutated genes in diverse genetic ancestries and gene-environment interactions. We also propose a high-level model to synthesize the interdependent effects of genetics, environmental and lifestyle factors, and ageing into a unified theory of ALS. Furthermore, we summarize the current status of therapies developed on the basis of genetic knowledge established for ALS over the past 30 years, and we discuss how developing treatments for ALS will advance our understanding of targeting other neurological diseases.
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Affiliation(s)
- Fulya Akçimen
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
| | - Elia R Lopez
- Therapeutic Development Branch, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Avindra Nath
- Section of Infections of the Nervous System, National Institute for Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Adriano Chiò
- Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy
- Institute of Cognitive Sciences and Technologies, C.N.R, Rome, Italy
- Azienda Ospedaliero Universitaria Citta' della Salute e della Scienza, Turin, Italy
| | - Ruth Chia
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Bryan J Traynor
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
- Therapeutic Development Branch, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA.
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5
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Yang J, Li H, Zhao Y. Dessert or Poison? The Roles of Glycosylation in Alzheimer's, Parkinson's, Huntington's Disease, and Amyotrophic Lateral Sclerosis. Chembiochem 2023; 24:e202300017. [PMID: 37440197 DOI: 10.1002/cbic.202300017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/27/2023] [Indexed: 07/14/2023]
Abstract
Ministry of Education and Key Laboratory of Neurons and glial cells of the central nervous system (CNS) are modified by glycosylation and rely on glycosylation to achieve normal neural function. Neurodegenerative disease is a common disease of the elderly, affecting their healthy life span and quality of life, and no effective treatment is currently available. Recent research implies that various glycosylation traits are altered during neurodegenerative diseases, suggesting a potential implication of glycosylation in disease pathology. Herein, we summarized the current knowledge about glycosylation associated with Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and Amyotrophic lateral sclerosis (ALS) pathogenesis, focusing on their promising functional avenues. Moreover, we collected research aimed at highlighting the need for such studies to provide a wealth of disease-related glycosylation information that will help us better understand the pathophysiological mechanisms and hopefully specific glycosylation information to provide further diagnostic and therapeutic directions for neurodegenerative diseases.
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Affiliation(s)
- Jiajun Yang
- Department of Biochemistry and Molecular Biology School of Basic Medical Science, Guizhou Medical University, Guiyang, 550004, China
- Key Laboratory of Endemic and Ethenic Diseases Medical Molecular Biology of Guizhou Province Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Hongmei Li
- Department of Biochemistry and Molecular Biology School of Basic Medical Science, Guizhou Medical University, Guiyang, 550004, China
- Key Laboratory of Endemic and Ethenic Diseases Medical Molecular Biology of Guizhou Province Guizhou Medical University, Guiyang, 550004, Guizhou, China
| | - Yuhui Zhao
- Key Laboratory of Endemic and Ethenic Diseases Medical Molecular Biology of Guizhou Province Guizhou Medical University, Guiyang, 550004, Guizhou, China
- Guizhou Medical University, Guiyang, 550004, China
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6
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Zhou W, Xu R. Current insights in the molecular genetic pathogenesis of amyotrophic lateral sclerosis. Front Neurosci 2023; 17:1189470. [PMID: 37638324 PMCID: PMC10448825 DOI: 10.3389/fnins.2023.1189470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 07/27/2023] [Indexed: 08/29/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive and fatal neurodegenerative disease that leads to the massive loss of motor neurons in cerebrum, brain stem and spinal cord. It affects not only motor neurons but also other neurons and glial cells, resulting in the progressive muscle atrophy, the severe disability and the eventual death due to the respiratory failure. The pathogenesis of ALS is not fully understood. Currently, several factors are considered to be involved in the pathogenesis of ALS, such as genetic factors, imbalances in protein homeostasis, RNA metabolism disorders, mitochondrial dysfunctions, glutamate-mediated excitatory toxicities and intra-neuronal material transport disorders in neurons. The study of genetic mutations related to ALS pathogenesis will link the molecular and cellular mechanisms of the disease, thus enhancing the understanding of its occurrence and progression, thereby providing new insights for the pathogenesis of ALS. This review summarizes the current insights in the molecular genetic pathogenesis of ALS.
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Affiliation(s)
- Wan Zhou
- Medical College of Nanchang University, Nanchang, China
- Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, The Clinical College of Nanchang Medical College, Nanchang, China
| | - Renshi Xu
- Medical College of Nanchang University, Nanchang, China
- Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, The Clinical College of Nanchang Medical College, Nanchang, China
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Candia N, Ibacache A, Medina-Yáñez I, Olivares GH, Ramírez M, Vega-Macaya F, Couve A, Sierralta J, Olguín P. Identification of atlastin genetic modifiers in a model of hereditary spastic paraplegia in Drosophila. Hum Genet 2023; 142:1303-1315. [PMID: 37368047 DOI: 10.1007/s00439-023-02577-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 05/30/2023] [Indexed: 06/28/2023]
Abstract
Hereditary spastic paraplegias (HSPs) are a group of neurodegenerative disorders characterized by progressive dysfunction of corticospinal motor neurons. Mutations in Atlastin1/Spg3, a small GTPase required for membrane fusion in the endoplasmic reticulum, are responsible for 10% of HSPs. Patients with the same Atlastin1/Spg3 mutation present high variability in age at onset and severity, suggesting a fundamental role of the environment and genetic background. Here, we used a Drosophila model of HSPs to identify genetic modifiers of decreased locomotion associated with atlastin knockdown in motor neurons. First, we screened for genomic regions that modify the climbing performance or viability of flies expressing atl RNAi in motor neurons. We tested 364 deficiencies spanning chromosomes two and three and found 35 enhancer and four suppressor regions of the climbing phenotype. We found that candidate genomic regions can also rescue atlastin effects at synapse morphology, suggesting a role in developing or maintaining the neuromuscular junction. Motor neuron-specific knockdown of 84 genes spanning candidate regions of the second chromosome identified 48 genes required for climbing behavior in motor neurons and 7 for viability, mapping to 11 modifier regions. We found that atl interacts genetically with Su(z)2, a component of the Polycomb repressive complex 1, suggesting that epigenetic regulation plays a role in the variability of HSP-like phenotypes caused by atl alleles. Our results identify new candidate genes and epigenetic regulation as a mechanism modifying neuronal atl pathogenic phenotypes, providing new targets for clinical studies.
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Affiliation(s)
- Noemi Candia
- Programa de Genética Humana, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
| | - Andrés Ibacache
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
| | - Ignacio Medina-Yáñez
- Programa de Genética Humana, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
| | - Gonzalo H Olivares
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
- Escuela de Kinesiología, Facultad de Medicina y Ciencias de la Salud, Center for Integrative Biology (CIB), Universidad Mayor, Santiago, Chile
| | - Mauricio Ramírez
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
| | - Franco Vega-Macaya
- Programa de Genética Humana, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
| | - Andrés Couve
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
| | - Jimena Sierralta
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile
| | - Patricio Olguín
- Programa de Genética Humana, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile.
- Departamento de Neurociencia, Biomedical Neuroscience Institute (BNI), Facultad de Medicina, Universidad de Chile, Independencia 1027, 8380453, Santiago, Chile.
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Costa J, Hayes C, Lisacek F. Protein glycosylation and glycoinformatics for novel biomarker discovery in neurodegenerative diseases. Ageing Res Rev 2023; 89:101991. [PMID: 37348818 DOI: 10.1016/j.arr.2023.101991] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/25/2023] [Accepted: 06/18/2023] [Indexed: 06/24/2023]
Abstract
Glycosylation is a common post-translational modification of brain proteins including cell surface adhesion molecules, synaptic proteins, receptors and channels, as well as intracellular proteins, with implications in brain development and functions. Using advanced state-of-the-art glycomics and glycoproteomics technologies in conjunction with glycoinformatics resources, characteristic glycosylation profiles in brain tissues are increasingly reported in the literature and growing evidence shows deregulation of glycosylation in central nervous system disorders, including aging associated neurodegenerative diseases. Glycan signatures characteristic of brain tissue are also frequently described in cerebrospinal fluid due to its enrichment in brain-derived molecules. A detailed structural analysis of brain and cerebrospinal fluid glycans collected in publications in healthy and neurodegenerative conditions was undertaken and data was compiled to create a browsable dedicated set in the GlyConnect database of glycoproteins (https://glyconnect.expasy.org/brain). The shared molecular composition of cerebrospinal fluid with brain enhances the likelihood of novel glycobiomarker discovery for neurodegeneration, which may aid in unveiling disease mechanisms, therefore, providing with novel therapeutic targets as well as diagnostic and progression monitoring tools.
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Affiliation(s)
- Júlia Costa
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal.
| | - Catherine Hayes
- Proteome Informatics Group, Swiss Institute of Bioinformatics, CH-1227 Geneva, Switzerland
| | - Frédérique Lisacek
- Proteome Informatics Group, Swiss Institute of Bioinformatics, CH-1227 Geneva, Switzerland; Computer Science Department, University of Geneva, CH-1227 Geneva, Switzerland; Section of Biology, University of Geneva, CH-1211 Geneva, Switzerland
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9
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Xu H, Huang K, Lin Y, Gong H, Ma X, Zhang D. Glycosyltransferase GLT8D1 and GLT8D2 serve as potential prognostic biomarkers correlated with Tumor Immunity in Gastric Cancer. BMC Med Genomics 2023; 16:123. [PMID: 37277853 PMCID: PMC10242987 DOI: 10.1186/s12920-023-01559-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 05/27/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Glycosylation involved in various biological function, aberrant glycosylation plays an important role in cancer development and progression. Glycosyltransferase 8 domain containing 1 (GLT8D1) and GLT8D2, as members of the glycosyltransferase family proteins, are associated with transferase activity. However, the association between GLT8D1/2 and gastric cancer (GC) remains unclear. We aimed to investigate the potential prognostic value and oncogenic role of GLT8D1/2 in GC. METHODS The relationship between GLT8D1/2 and GC was evaluated through comprehensive bioinformatics approaches. A series of factors like gene expression patterns, Kaplan-Meier survival analyses, Cox regression analyses, prognostic nomogram, calibration curves, ROC curves, function enrichment analyses, tumor immunity association, genetic alterations, and DNA methylation were included. Data and statistical analyses were performed using R software (v3.6.3). RESULTS Both GLT8D1 and GLT8D2 expression were significantly upregulated in GC tissues(n = 414) compared with normal tissues(n = 210), and high expression of GLT8D1/2 was remarkably correlated with poor prognosis for GC patients. Cox regression analyses implied that GLT8D1/2 could act as independent prognostic factors in GC. Furthermore, gene function analyses indicated that multiple signaling pathways involving tumor oncogenesis and development enriched, such as mTOR, cell cycle, MAPK, Notch, Hedgehog, FGF, and PI3K-Akt signaling pathways. Moreover, GLT8D1/2 was significantly associated with immune cell infiltration, immune checkpoint genes, and immune regulators TMB/MSI. CONCLUSION GLT8D1/2 may serve as potential prognostic markers of poor prognosis in GC correlated with tumor immunity. The study provided an insight into identifying potential biomarkers and targets for prognosis, immunotherapy response, and therapy in GC.
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Affiliation(s)
- Huimei Xu
- Department of Gastroenterology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, P.R. China
- Lanzhou University Second Hospital, Lanzhou, 730030, P.R. China
| | - Ke Huang
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730030, P.R. China
| | - Yimin Lin
- Department of Gastroenterology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, P.R. China
- Lanzhou University Second Hospital, Lanzhou, 730030, P.R. China
| | - Hang Gong
- Department of Gastroenterology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, P.R. China
- Lanzhou University Second Hospital, Lanzhou, 730030, P.R. China
| | - Xueni Ma
- Department of Gastroenterology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, P.R. China
- Lanzhou University Second Hospital, Lanzhou, 730030, P.R. China
| | - Dekui Zhang
- Lanzhou University Second Hospital, Lanzhou, 730030, P.R. China.
- Key Laboratory of Digestive Diseases of Lanzhou University Second Hospital, Lanzhou, 730030, P.R. China.
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10
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Hedges EC, Cocks G, Shaw CE, Nishimura AL. Generation of an Open-Access Patient-Derived iPSC Biobank for Amyotrophic Lateral Sclerosis Disease Modelling. Genes (Basel) 2023; 14:genes14051108. [PMID: 37239468 DOI: 10.3390/genes14051108] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease affecting the upper and lower motor neurons, causing patients to lose control over voluntary movement, and leading to gradual paralysis and death. There is no cure for ALS, and the development of viable therapeutics has proved challenging, demonstrated by a lack of positive results from clinical trials. One strategy to address this is to improve the tool kit available for pre-clinical research. Here, we describe the creation of an open-access ALS iPSC biobank generated from patients carrying mutations in the TARDBP, FUS, ANXA11, ARPP21, and C9ORF72 genes, alongside healthy controls. To demonstrate the utilisation of these lines for ALS disease modelling, a subset of FUS-ALS iPSCs were differentiated into functionally active motor neurons. Further characterisation revealed an increase in cytoplasmic FUS protein and reduced neurite outgrowth in FUS-ALS motor neurons compared to the control. This proof-of-principle study demonstrates that these novel patient-derived iPSC lines can recapitulate specific and early disease-related ALS phenotypes. This biobank provides a disease-relevant platform for discovery of ALS-associated cellular phenotypes to aid the development of novel treatment strategies.
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Affiliation(s)
- Erin C Hedges
- United Kingdom Dementia Research Institute, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5 Cutcombe Rd., London SE5 9RT, UK
| | - Graham Cocks
- Genome Editing and Embryology Core, King's College London, London SE1 1UL, UK
| | - Christopher E Shaw
- United Kingdom Dementia Research Institute, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5 Cutcombe Rd., London SE5 9RT, UK
- Centre for Brain Research, University of Auckland, 85 Park Road, Grafton, Auckland 1023, New Zealand
| | - Agnes L Nishimura
- United Kingdom Dementia Research Institute, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5 Cutcombe Rd., London SE5 9RT, UK
- Blizard Institute, Neuroscience, Surgery and Trauma, Queen Mary University of London, 4 Newark Street, London E1 2AT, UK
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11
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Wang H, Guan L, Deng M. Recent progress of the genetics of amyotrophic lateral sclerosis and challenges of gene therapy. Front Neurosci 2023; 17:1170996. [PMID: 37250416 PMCID: PMC10213321 DOI: 10.3389/fnins.2023.1170996] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 04/24/2023] [Indexed: 05/31/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by the degeneration of motor neurons in the brain and spinal cord. The causes of ALS are not fully understood. About 10% of ALS cases were associated with genetic factors. Since the discovery of the first familial ALS pathogenic gene SOD1 in 1993 and with the technology advancement, now over 40 ALS genes have been found. Recent studies have identified ALS related genes including ANXA11, ARPP21, CAV1, C21ORF2, CCNF, DNAJC7, GLT8D1, KIF5A, NEK1, SPTLC1, TIA1, and WDR7. These genetic discoveries contribute to a better understanding of ALS and show the potential to aid the development of better ALS treatments. Besides, several genes appear to be associated with other neurological disorders, such as CCNF and ANXA11 linked to FTD. With the deepening understanding of the classic ALS genes, rapid progress has been made in gene therapies. In this review, we summarize the latest progress on classical ALS genes and clinical trials for these gene therapies, as well as recent findings on newly discovered ALS genes.
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Affiliation(s)
- Hui Wang
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China
| | - LiPing Guan
- Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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12
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Mead RJ, Shan N, Reiser HJ, Marshall F, Shaw PJ. Amyotrophic lateral sclerosis: a neurodegenerative disorder poised for successful therapeutic translation. Nat Rev Drug Discov 2023; 22:185-212. [PMID: 36543887 PMCID: PMC9768794 DOI: 10.1038/s41573-022-00612-2] [Citation(s) in RCA: 88] [Impact Index Per Article: 88.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/11/2022] [Indexed: 12/24/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a devastating disease caused by degeneration of motor neurons. As with all major neurodegenerative disorders, development of disease-modifying therapies has proven challenging for multiple reasons. Nevertheless, ALS is one of the few neurodegenerative diseases for which disease-modifying therapies are approved. Significant discoveries and advances have been made in ALS preclinical models, genetics, pathology, biomarkers, imaging and clinical readouts over the last 10-15 years. At the same time, novel therapeutic paradigms are being applied in areas of high unmet medical need, including neurodegenerative disorders. These developments have evolved our knowledge base, allowing identification of targeted candidate therapies for ALS with diverse mechanisms of action. In this Review, we discuss how this advanced knowledge, aligned with new approaches, can enable effective translation of therapeutic agents from preclinical studies through to clinical benefit for patients with ALS. We anticipate that this approach in ALS will also positively impact the field of drug discovery for neurodegenerative disorders more broadly.
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Affiliation(s)
- Richard J Mead
- Sheffield Institute for Translational Neuroscience, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, UK
- Neuroscience Institute, University of Sheffield, Sheffield, UK
- Keapstone Therapeutics, The Innovation Centre, Broomhall, Sheffield, UK
| | - Ning Shan
- Aclipse Therapeutics, Radnor, PA, US
| | | | - Fiona Marshall
- MSD UK Discovery Centre, Merck, Sharp and Dohme (UK) Limited, London, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, Faculty of Medicine, Dentistry and Health, University of Sheffield, Sheffield, UK.
- Neuroscience Institute, University of Sheffield, Sheffield, UK.
- Keapstone Therapeutics, The Innovation Centre, Broomhall, Sheffield, UK.
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13
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Udine E, Jain A, van Blitterswijk M. Advances in sequencing technologies for amyotrophic lateral sclerosis research. Mol Neurodegener 2023; 18:4. [PMID: 36635726 PMCID: PMC9838075 DOI: 10.1186/s13024-022-00593-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 12/23/2022] [Indexed: 01/14/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is caused by upper and lower motor neuron loss and has a fairly rapid disease progression, leading to fatality in an average of 2-5 years after symptom onset. Numerous genes have been implicated in this disease; however, many cases remain unexplained. Several technologies are being used to identify regions of interest and investigate candidate genes. Initial approaches to detect ALS genes include, among others, linkage analysis, Sanger sequencing, and genome-wide association studies. More recently, next-generation sequencing methods, such as whole-exome and whole-genome sequencing, have been introduced. While those methods have been particularly useful in discovering new ALS-linked genes, methodological advances are becoming increasingly important, especially given the complex genetics of ALS. Novel sequencing technologies, like long-read sequencing, are beginning to be used to uncover the contribution of repeat expansions and other types of structural variation, which may help explain missing heritability in ALS. In this review, we discuss how popular and/or upcoming methods are being used to discover ALS genes, highlighting emerging long-read sequencing platforms and their role in aiding our understanding of this challenging disease.
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Affiliation(s)
- Evan Udine
- grid.417467.70000 0004 0443 9942Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32224 USA ,grid.417467.70000 0004 0443 9942Mayo Clinic Graduate School of Biomedical Sciences, 4500 San Pablo Road S, Jacksonville, FL 32224 USA
| | - Angita Jain
- grid.417467.70000 0004 0443 9942Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32224 USA ,grid.417467.70000 0004 0443 9942Mayo Clinic Graduate School of Biomedical Sciences, 4500 San Pablo Road S, Jacksonville, FL 32224 USA ,grid.417467.70000 0004 0443 9942Center for Clinical and Translational Sciences, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32224 USA
| | - Marka van Blitterswijk
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL, 32224, USA.
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14
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Kumar R, Malik Z, Singh M, Rachana R, Mani S, Ponnusamy K, Haider S. Amyotrophic Lateral Sclerosis Risk Genes and Suppressor. Curr Gene Ther 2023; 23:148-162. [PMID: 36366843 DOI: 10.2174/1566523223666221108113330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 08/24/2022] [Accepted: 09/01/2022] [Indexed: 11/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease that leads to death by progressive paralysis and respiratory failure within 2-4 years of onset. About 90-95% of ALS cases are sporadic (sALS), and 5-10% are inherited through family (fALS). Though the mechanisms of the disease are still poorly understood, so far, approximately 40 genes have been reported as ALS causative genes. The mutations in some crucial genes, like SOD1, C9ORF72, FUS, and TDP-43, are majorly associated with ALS, resulting in ROS-associated oxidative stress, excitotoxicity, protein aggregation, altered RNA processing, axonal and vesicular trafficking dysregulation, and mitochondrial dysfunction. Recent studies show that dysfunctional cellular pathways get restored as a result of the repair of a single pathway in ALS. In this review article, our aim is to identify putative targets for therapeutic development and the importance of a single suppressor to reduce multiple symptoms by focusing on important mutations and the phenotypic suppressors of dysfunctional cellular pathways in crucial genes as reported by other studies.
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Affiliation(s)
- Rupesh Kumar
- Department of Biotechnology, Jaypee Institute of Information Technology, Sec-62, Noida, Uttar Pradesh, India
| | - Zubbair Malik
- School of Computational and Integrative Science, Jawaharlal Nehru University, New Delhi-110067, India
| | - Manisha Singh
- Department of Biotechnology, Jaypee Institute of Information Technology, Sec-62, Noida, Uttar Pradesh, India
| | - R Rachana
- Department of Biotechnology, Jaypee Institute of Information Technology, Sec-62, Noida, Uttar Pradesh, India
| | - Shalini Mani
- Department of Biotechnology, Jaypee Institute of Information Technology, Sec-62, Noida, Uttar Pradesh, India
| | | | - Shazia Haider
- Department of Biotechnology, Jaypee Institute of Information Technology, Sec-62, Noida, Uttar Pradesh, India
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15
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Hartmann H, Ho WY, Chang JC, Ling SC. Cholesterol dyshomeostasis in amyotrophic lateral sclerosis: cause, consequence, or epiphenomenon? FEBS J 2022; 289:7688-7709. [PMID: 34469619 DOI: 10.1111/febs.16175] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/10/2021] [Accepted: 08/31/2021] [Indexed: 01/14/2023]
Abstract
Amyotrophic lateral sclerosis (ALS), the most common adult-onset motor neuron disease, is characterized by the selective degeneration of motor neurons leading to paralysis and eventual death. Multiple pathogenic mechanisms, including systemic dysmetabolism, have been proposed to contribute to ALS. Among them, dyslipidemia, i.e., abnormal level of cholesterol and other lipids in the circulation and central nervous system (CNS), has been reported in ALS patients, but without a consensus. Cholesterol is a constituent of cellular membranes and a precursor of steroid hormones, oxysterols, and bile acids. Consequently, optimal cholesterol levels are essential for health. Due to the blood-brain barrier (BBB), cholesterol cannot move between the CNS and the rest of the body. As such, cholesterol metabolism in the CNS is proposed to operate autonomously. Despite its importance, it remains elusive how cholesterol dyshomeostasis may contribute to ALS. In this review, we aim to describe the current state of cholesterol metabolism research in ALS, identify unresolved issues, and provide potential directions.
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Affiliation(s)
- Hannelore Hartmann
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wan Yun Ho
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jer-Cherng Chang
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Shuo-Chien Ling
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Healthy Longevity Translational Research Programme, National University Health System, Singapore, Singapore.,Program in Neuroscience and Behavior Disorders, Duke-NUS Medical School, Singapore, Singapore
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16
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Chiou KL, DeCasien AR, Rees KP, Testard C, Spurrell CH, Gogate AA, Pliner HA, Tremblay S, Mercer A, Whalen CJ, Negrón-Del Valle JE, Janiak MC, Bauman Surratt SE, González O, Compo NR, Stock MK, Ruiz-Lambides AV, Martínez MI, Wilson MA, Melin AD, Antón SC, Walker CS, Sallet J, Newbern JM, Starita LM, Shendure J, Higham JP, Brent LJN, Montague MJ, Platt ML, Snyder-Mackler N. Multiregion transcriptomic profiling of the primate brain reveals signatures of aging and the social environment. Nat Neurosci 2022; 25:1714-1723. [PMID: 36424430 PMCID: PMC10055353 DOI: 10.1038/s41593-022-01197-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 10/05/2022] [Indexed: 11/26/2022]
Abstract
Aging is accompanied by a host of social and biological changes that correlate with behavior, cognitive health and susceptibility to neurodegenerative disease. To understand trajectories of brain aging in a primate, we generated a multiregion bulk (N = 527 samples) and single-nucleus (N = 24 samples) brain transcriptional dataset encompassing 15 brain regions and both sexes in a unique population of free-ranging, behaviorally phenotyped rhesus macaques. We demonstrate that age-related changes in the level and variance of gene expression occur in genes associated with neural functions and neurological diseases, including Alzheimer's disease. Further, we show that higher social status in females is associated with younger relative transcriptional ages, providing a link between the social environment and aging in the brain. Our findings lend insight into biological mechanisms underlying brain aging in a nonhuman primate model of human behavior, cognition and health.
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Affiliation(s)
- Kenneth L Chiou
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA.
- School of Life Sciences, Arizona State University, Tempe, AZ, USA.
- Department of Psychology, University of Washington, Seattle, WA, USA.
- Nathan Shock Center of Excellence in the Basic Biology of Aging, University of Washington, Seattle, WA, USA.
| | - Alex R DeCasien
- Department of Anthropology, New York University, New York, NY, USA.
- New York Consortium in Evolutionary Primatology, New York, NY, USA.
| | - Katherina P Rees
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Camille Testard
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Aishwarya A Gogate
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Seattle Children's Research Institute, Seattle, WA, USA
| | - Hannah A Pliner
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Sébastien Tremblay
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Arianne Mercer
- Department of Psychology, University of Washington, Seattle, WA, USA
| | - Connor J Whalen
- Department of Anthropology, New York University, New York, NY, USA
| | | | - Mareike C Janiak
- School of Science, Engineering, & Environment, University of Salford, Salford, UK
| | | | - Olga González
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Nicole R Compo
- Caribbean Primate Research Center, University of Puerto Rico, San Juan, PR, USA
| | - Michala K Stock
- Department of Sociology and Anthropology, Metropolitan State University of Denver, Denver, CO, USA
| | | | - Melween I Martínez
- Caribbean Primate Research Center, University of Puerto Rico, San Juan, PR, USA
| | - Melissa A Wilson
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Amanda D Melin
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Alberta, Canada
- Department of Medical Genetics, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Susan C Antón
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - Christopher S Walker
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Jérôme Sallet
- Stem Cell and Brain Research Institute, Université Lyon, Lyon, France
| | - Jason M Newbern
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Lea M Starita
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - James P Higham
- Department of Anthropology, New York University, New York, NY, USA
- New York Consortium in Evolutionary Primatology, New York, NY, USA
| | - Lauren J N Brent
- Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK
| | - Michael J Montague
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael L Platt
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
- Marketing Department, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | - Noah Snyder-Mackler
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA.
- School of Life Sciences, Arizona State University, Tempe, AZ, USA.
- Department of Psychology, University of Washington, Seattle, WA, USA.
- Nathan Shock Center of Excellence in the Basic Biology of Aging, University of Washington, Seattle, WA, USA.
- Center for Studies in Demography & Ecology, University of Washington, Seattle, WA, USA.
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA.
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA.
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17
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Liu K, Jiang L, Shi Y, Liu B, He Y, Shen Q, Jiang X, Nie Z, Pu J, Yang C, Chen Y. Hypoxia-induced GLT8D1 promotes glioma stem cell maintenance by inhibiting CD133 degradation through N-linked glycosylation. Cell Death Differ 2022; 29:1834-1849. [PMID: 35301431 PMCID: PMC9433395 DOI: 10.1038/s41418-022-00969-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 02/27/2022] [Accepted: 02/28/2022] [Indexed: 11/08/2022] Open
Abstract
Gliomas are the most aggressive primary brain tumors. However, no significant improvement in survival has been achieved with the addition of temozolomide (TMZ) or radiation as initial therapy, although many clinical efforts have been carried out to target various signaling pathways or putative driver mutations. Here, we report that glycosyltransferase 8 domain containing 1 (GLT8D1), induced by HIF-1α under a hypoxic niche, significantly correlates with a higher grade of glioma, and a worse clinical outcome. Depletion of GLT8D1 inhibits self-renewal of glioma stem cell (GSC) in vitro and represses tumor growth in glioma mouse models. GLT8D1 knockdown promotes cell cycle arrest at G2/M phase and cellular apoptosis with or without TMZ treatment. We reveal that GLT8D1 impedes CD133 degradation through the endosomal-lysosomal pathway by N-linked glycosylation and protein-protein interaction. Directly blocking the GLT8D1/CD133 complex formation by CD133N1~108 (referred to as FECD133), or inhibiting GLT8D1 expression by lercanidipine, suppresses Wnt/β-catenin signaling dependent tumorigenesis both in vitro and in patient-derived xenografts mouse model. Collectively, these findings offer mechanistic insights into how hypoxia promotes GLT8D1/CD133/Wnt/β-catenin signaling during glioma progression, and identify GLT8D1 as a potential therapeutic target in the future.
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Affiliation(s)
- Kun Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liping Jiang
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
| | - Yulin Shi
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Baiyang Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yaomei He
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiushuo Shen
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
| | - Xiulin Jiang
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhi Nie
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, 100049, China
- Kunming Medical University, Kunming, 650500, China
| | - Jun Pu
- Kunming Medical University, Kunming, 650500, China
| | - Cuiping Yang
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Yongbin Chen
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.
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18
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Tábuas-Pereira M, Santana I, Gibbons E, Paquette K, Almeida MR, Baldeiras I, Bras J, Guerreiro R. Exome Sequencing of a Portuguese Cohort of Frontotemporal Dementia Patients: Looking Into the ALS-FTD Continuum. Front Neurol 2022; 13:886379. [PMID: 35873773 PMCID: PMC9300853 DOI: 10.3389/fneur.2022.886379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 05/31/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Frontotemporal dementia (FTD) is considered to be part of a continuum with amyotrophic lateral sclerosis (ALS). Many genes are associated with both ALS and FTD. Yet, many genes associated with ALS have not been shown to cause FTD. We aimed to study a Portuguese cohort of FTD patients, searching for variants in genes associated with both FTD and/or ALS. Methods We included 57 thoroughly characterized index FTD patients from our memory clinic, who were not carriers of pathogenic variants in GRN, MAPT or C9orf72. We performed exome sequencing and 1) prioritized potential FTD and ALS causing variants by using Exomiser to annotate and filter results; and 2) looked specifically at rare variability in genes associated with FTD (excluding GRN, MAPT and C9ORF72) and/or ALS. Results We identified 13 rare missense variants in 10 patients (three patients had two variants) in the following genes: FUS, OPTN, CCNF, DCTN1, TREM2, ERBB4, ANG, CHRNA4, CHRNB4 and SETX. We found an additional frameshift variant on GLT8D1 in one patient. One variant (ERBB4 p.Arg1112His) gathered enough evidence to be classified as likely pathogenic by the ACMG criteria. Discussion We report, for the first time, an expanded study of genes known to cause FTD-ALS, in the Portuguese population. Potentially pathogenic variants in ERBB4, FUS, SETX, ANG, CHRNA4 and CHRNB4 were identified in FTD patients. These findings provide additional evidence for the potential role of rare variability in ALS-associated genes in FTD, expanding the genetic spectrum between the two diseases.
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Affiliation(s)
- Miguel Tábuas-Pereira
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Department of Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- *Correspondence: Miguel Tábuas-Pereira
| | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Department of Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Department of Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal
| | - Elizabeth Gibbons
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, United States
| | - Kimberly Paquette
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, United States
| | - Maria Rosário Almeida
- Department of Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal
| | - Inês Baldeiras
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Department of Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Department of Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal
| | - Jose Bras
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, United States
- Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, United States
| | - Rita Guerreiro
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, United States
- Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, United States
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Kirola L, Mukherjee A, Mutsuddi M. Recent Updates on the Genetics of Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Mol Neurobiol 2022; 59:5673-5694. [PMID: 35768750 DOI: 10.1007/s12035-022-02934-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 06/16/2022] [Indexed: 10/17/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) primarily affect the motor and frontotemporal areas of the brain, respectively. These disorders share clinical, genetic, and pathological similarities, and approximately 10-15% of ALS-FTD cases are considered to be multisystemic. ALS-FTD overlaps have been linked to families carrying an expansion in the intron of C9orf72 along with inclusions of TDP-43 in the brain. Other overlapping genes (VCP, FUS, SQSTM1, TBK1, CHCHD10) are also involved in similar functions that include RNA processing, autophagy, proteasome response, protein aggregation, and intracellular trafficking. Recent advances in genome sequencing have identified new genes that are involved in these disorders (TBK1, CCNF, GLT8D1, KIF5A, NEK1, C21orf2, TBP, CTSF, MFSD8, DNAJC7). Additional risk factors and modifiers have been also identified in genome-wide association studies and array-based studies. However, the newly identified genes show higher disease frequencies in combination with known genes that are implicated in pathogenesis, thus indicating probable digenetic/polygenic inheritance models, along with epistatic interactions. Studies suggest that these genes play a pleiotropic effect on ALS-FTD and other diseases such as Alzheimer's disease, Ataxia, and Parkinsonism. Besides, there have been numerous improvements in the genotype-phenotype correlations as well as clinical trials on stem cell and gene-based therapies. This review discusses the possible genetic models of ALS and FTD, the latest therapeutics, and signaling pathways involved in ALS-FTD.
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Affiliation(s)
- Laxmi Kirola
- Department of Molecular and Human Genetics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Ashim Mukherjee
- Department of Molecular and Human Genetics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | - Mousumi Mutsuddi
- Department of Molecular and Human Genetics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
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20
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Nagy ZF, Pál M, Salamon A, Zodanu GKE, Füstös D, Klivényi P, Széll M. Re-analysis of the Hungarian amyotrophic lateral sclerosis population and evaluation of novel ALS genetic risk variants. Neurobiol Aging 2022; 116:1-11. [DOI: 10.1016/j.neurobiolaging.2022.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/08/2022] [Accepted: 04/02/2022] [Indexed: 11/29/2022]
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21
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Glycomic and Glycoproteomic Techniques in Neurodegenerative Disorders and Neurotrauma: Towards Personalized Markers. Cells 2022; 11:cells11030581. [PMID: 35159390 PMCID: PMC8834236 DOI: 10.3390/cells11030581] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/22/2022] [Accepted: 02/03/2022] [Indexed: 12/16/2022] Open
Abstract
The proteome represents all the proteins expressed by a genome, a cell, a tissue, or an organism at any given time under defined physiological or pathological circumstances. Proteomic analysis has provided unparalleled opportunities for the discovery of expression patterns of proteins in a biological system, yielding precise and inclusive data about the system. Advances in the proteomics field opened the door to wider knowledge of the mechanisms underlying various post-translational modifications (PTMs) of proteins, including glycosylation. As of yet, the role of most of these PTMs remains unidentified. In this state-of-the-art review, we present a synopsis of glycosylation processes and the pathophysiological conditions that might ensue secondary to glycosylation shortcomings. The dynamics of protein glycosylation, a crucial mechanism that allows gene and pathway regulation, is described. We also explain how-at a biomolecular level-mutations in glycosylation-related genes may lead to neuropsychiatric manifestations and neurodegenerative disorders. We then analyze the shortcomings of glycoproteomic studies, putting into perspective their downfalls and the different advanced enrichment techniques that emanated to overcome some of these challenges. Furthermore, we summarize studies tackling the association between glycosylation and neuropsychiatric disorders and explore glycoproteomic changes in neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Huntington disease, multiple sclerosis, and amyotrophic lateral sclerosis. We finally conclude with the role of glycomics in the area of traumatic brain injury (TBI) and provide perspectives on the clinical application of glycoproteomics as potential diagnostic tools and their application in personalized medicine.
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22
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Ilina EI, Cialini C, Gerloff DL, Garcia-Escudero MD, Janty C, Thézénas ML, Lesur A, Puard V, Bernardin F, Moter A, Schuster A, Dieterle M, Golebiewska A, Gérardy JJ, Dittmar G, Niclou SP, Müller T, Mittelbronn M. Enzymatic activity of glycosyltransferase GLT8D1 promotes human glioblastoma cell migration. iScience 2022; 25:103842. [PMID: 35198895 PMCID: PMC8850796 DOI: 10.1016/j.isci.2022.103842] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/27/2021] [Accepted: 01/27/2022] [Indexed: 11/15/2022] Open
Abstract
Glioblastoma (GBM) is the most aggressive primary brain tumor characterized by infiltrative growth of malignant glioma cells into the surrounding brain parenchyma. In this study, our analysis of GBM patient cohorts revealed a significantly higher expression of Glycosyltransferase 8 domain containing 1 (GLT8D1) compared to normal brain tissue and could be associated with impaired patient survival. Increased in vitro expression of GLT8D1 significantly enhanced migration of two different sphere-forming GBM cell lines. By in silico analysis we predicted the 3D-structure as well as the active site residues of GLT8D1. The introduction of point mutations in the predicted active site reduced its glycosyltransferase activity in vitro and consequently impaired GBM tumor cell migration. Examination of GLT8D1 interaction partners by LC-MS/MS implied proteins associated with cytoskeleton and intracellular transport as potential substrates. In conclusion, we demonstrated that the enzymatic activity of glycosyltransferase GLT8D1 promotes GBM cell migration. The glycosyltransferase GLT8D1 is enriched in GBM tissue and cells In silico analysis predicts the 3D structure and the active site of GLT8D1 Enzymatically active GLT8D1 promotes GBM migration Manipulation of GLT8D1 enzymatic activity decreases GBM migration
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23
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Kumar R, Haider S. Protein network analysis to prioritize key genes in amyotrophic lateral sclerosis. IBRO Neurosci Rep 2021; 12:25-44. [PMID: 34918006 PMCID: PMC8669318 DOI: 10.1016/j.ibneur.2021.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/18/2021] [Accepted: 12/05/2021] [Indexed: 12/18/2022] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a fatal disease, progressive nature characterizes by loss of both upper and lower motor neuron functions. One of the major challenge is to understand the mechanism of ALS multifactorial nature. We aimed to explore some key genes related to ALS through bioinformatics methods for its therapeutic intervention. Here, we applied a systems biology approach involving experimentally validated 148 ALS-associated proteins and construct ALS protein-protein interaction network (ALS-PPIN). The network was further statistically analysed and identified bottleneck-hubs. The network is also subjected to identify modules which could have similar functions. The interaction between the modules and bottleneck-hubs provides the functional regulatory role of the ALS mechanism. The ALS-PPIN demonstrated a hierarchical scale-free nature. We identified 17 bottleneck-hubs, in which CDC5L, SNW1, TP53, SOD1, and VCP were the high degree nodes (hubs) in ALS-PPIN. CDC5L was found to control highly cluster modules and play a vital role in the stability of the overall network followed by SNW1, TP53, SOD1, and VCP. HSPA5 and HSPA8 acting as a common connector for CDC5L and TP53 bottleneck-hubs. The functional and disease association analysis showed ALS has a strong correlation with mRNA processing, protein deubiquitination, and neoplasms, nervous system, immune system disease classes. In the future, biochemical investigation of the observed bottleneck-hubs and their interacting partners could provide a further understanding of their role in the pathophysiology of ALS. Amyotrophic Lateral Sclerosis protein-protein interaction network (ALS-PPIN) followed a hierarchical scale-free nature. We identified 17 bottleneck-hubs in the ALS-PPIN. Among bottleneck-hubs we found CDC5L, SNW1, TP53, SOD1, and VCP were the high degree nodes (hubs) in the ALS-PPIN. CDC5L is the effective communicator with all five modules in the ALS-PPIN and followed by SNW1 and TP53. Modules are highly associated with various disease classes like neoplasms, nervous systems and others.
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Key Words
- ALS
- ALS, Amyotrophic Lateral Sclerosis
- ALS-PPIN
- ALS-PPIN, Amyotrophic Lateral Sclerosis Protein-Protein Interaction Network
- ALSoD, Amyotrophic Lateral Sclerosis online database
- BC, Betweenness centrality
- Bn-H, Bottleneck-hub
- Bottleneck-hubs
- CDC5L
- CDC5L, Cell division cycle5-likeprotein
- FUS, Fused in sarcoma
- MCODE, Molecular Complex Detection
- MND, Motor neuron disease
- SMA, Spinal muscular atrophy
- SMN, Survival of motor neuron
- SNW1
- SNW1, SNW domain-containing protein 1
- SOD1
- SOD1, Superoxide dismutase
- TP53
- TP53, Tumor protein p53
- VCP
- VCP, Valosin containing protein
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Affiliation(s)
- Rupesh Kumar
- Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Sec-62, Uttar Pradesh, India
| | - Shazia Haider
- Department of Biotechnology, Jaypee Institute of Information Technology, Noida, Sec-62, Uttar Pradesh, India
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24
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Tsai PC, Jih KY, Shen TY, Liu YH, Lin KP, Liao YC, Lee YC. Genetic and Functional Analysis of Glycosyltransferase 8 Domain-Containing Protein 1 in Taiwanese Patients With Amyotrophic Lateral Sclerosis. NEUROLOGY-GENETICS 2021; 7:e627. [PMID: 34746377 PMCID: PMC8569617 DOI: 10.1212/nxg.0000000000000627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/05/2021] [Indexed: 01/05/2023]
Abstract
Background and Objectives To investigate the frequency, spectrum, and molecular functional effect of glycosyltransferase 8 domain-containing protein 1 (GLT8D1) variations in Taiwanese patients with amyotrophic lateral sclerosis (ALS). Methods We performed genetic analyses of GLT8D1 in 410 unrelated patients with ALS by Sanger sequencing. The 410 patients were selected from a cohort of 477 unrelated patients with ALS after excluding variations in common ALS disease genes. Functional effects of the GLT8D1 variation were investigated by in vitro functional analysis. Results We identified a novel heterozygous missense variation in GLT8D1, p.I290M (c.870C>G), in 1 single patient with familial ALS. The patient with the p.I290M variation had a spinal-onset ALS with disease onset at age 60 years and a survival of 6 years. Functional studies demonstrated that the variant I290M GLT8D1 protein was mislocalized to the endoplasmic reticulum (ER), provoked ER stress and unfolded protein response, compromised the glycosyltransferase activity, and led to an increased cytotoxicity. Discussion GLT8D1 variations account for 0.2% (1/477) of the patients with ALS in Taiwan. These findings expand the spectrum of GLT8D1 variation and support the pathogenic role of GLT8D1 variations in ALS.
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Affiliation(s)
- Pei-Chien Tsai
- Department of Neurology (K.-Y.J., Y.-H.L., K.-P.L., Y.-C. Liao, Y.-C. Lee), Taipei Veterans General Hospital; Department of Neurology (K.-P.L., Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, School of Medicine; Brain Research Center (Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, Taipei; Department of Life Sciences (P.-C.T., T.-Y.S.), National Chung Hsing University, Taichung, Taiwan
| | - Kang-Yang Jih
- Department of Neurology (K.-Y.J., Y.-H.L., K.-P.L., Y.-C. Liao, Y.-C. Lee), Taipei Veterans General Hospital; Department of Neurology (K.-P.L., Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, School of Medicine; Brain Research Center (Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, Taipei; Department of Life Sciences (P.-C.T., T.-Y.S.), National Chung Hsing University, Taichung, Taiwan
| | - Ting-Yi Shen
- Department of Neurology (K.-Y.J., Y.-H.L., K.-P.L., Y.-C. Liao, Y.-C. Lee), Taipei Veterans General Hospital; Department of Neurology (K.-P.L., Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, School of Medicine; Brain Research Center (Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, Taipei; Department of Life Sciences (P.-C.T., T.-Y.S.), National Chung Hsing University, Taichung, Taiwan
| | - Yi-Hong Liu
- Department of Neurology (K.-Y.J., Y.-H.L., K.-P.L., Y.-C. Liao, Y.-C. Lee), Taipei Veterans General Hospital; Department of Neurology (K.-P.L., Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, School of Medicine; Brain Research Center (Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, Taipei; Department of Life Sciences (P.-C.T., T.-Y.S.), National Chung Hsing University, Taichung, Taiwan
| | - Kon-Ping Lin
- Department of Neurology (K.-Y.J., Y.-H.L., K.-P.L., Y.-C. Liao, Y.-C. Lee), Taipei Veterans General Hospital; Department of Neurology (K.-P.L., Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, School of Medicine; Brain Research Center (Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, Taipei; Department of Life Sciences (P.-C.T., T.-Y.S.), National Chung Hsing University, Taichung, Taiwan
| | - Yi-Chu Liao
- Department of Neurology (K.-Y.J., Y.-H.L., K.-P.L., Y.-C. Liao, Y.-C. Lee), Taipei Veterans General Hospital; Department of Neurology (K.-P.L., Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, School of Medicine; Brain Research Center (Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, Taipei; Department of Life Sciences (P.-C.T., T.-Y.S.), National Chung Hsing University, Taichung, Taiwan
| | - Yi-Chung Lee
- Department of Neurology (K.-Y.J., Y.-H.L., K.-P.L., Y.-C. Liao, Y.-C. Lee), Taipei Veterans General Hospital; Department of Neurology (K.-P.L., Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, School of Medicine; Brain Research Center (Y.-C. Liao, Y.-C. Lee), National Yang Ming Chao Tung University, Taipei; Department of Life Sciences (P.-C.T., T.-Y.S.), National Chung Hsing University, Taichung, Taiwan
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25
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Cooper-Knock J, Harvey C, Zhang S, Moll T, Timpanaro IS, Kenna KP, Iacoangeli A, Veldink JH. Advances in the genetic classification of amyotrophic lateral sclerosis. Curr Opin Neurol 2021; 34:756-764. [PMID: 34343141 PMCID: PMC7612116 DOI: 10.1097/wco.0000000000000986] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW Amyotrophic lateral sclerosis (ALS) is an archetypal complex disease wherein disease risk and severity are, for the majority of patients, the product of interaction between multiple genetic and environmental factors. We are in a period of unprecedented discovery with new large-scale genome-wide association study (GWAS) and accelerating discovery of risk genes. However, much of the observed heritability of ALS is undiscovered and we are not yet approaching elucidation of the total genetic architecture, which will be necessary for comprehensive disease subclassification. RECENT FINDINGS We summarize recent developments and discuss the future. New machine learning models will help to address nonlinear genetic interactions. Statistical power for genetic discovery may be boosted by reducing the search-space using cell-specific epigenetic profiles and expanding our scope to include genetically correlated phenotypes. Structural variation, somatic heterogeneity and consideration of environmental modifiers represent significant challenges which will require integration of multiple technologies and a multidisciplinary approach, including clinicians, geneticists and pathologists. SUMMARY The move away from fully penetrant Mendelian risk genes necessitates new experimental designs and new standards for validation. The challenges are significant, but the potential reward for successful disease subclassification is large-scale and effective personalized medicine.
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Affiliation(s)
- Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Calum Harvey
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Sai Zhang
- Department of Genetics
- Center for Genomics and Personalized Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Tobias Moll
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Ilia Sarah Timpanaro
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Kevin P Kenna
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Alfredo Iacoangeli
- Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London
- National Institute for Health Research Biomedical Research Centre and Dementia Unit, South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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26
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Chen TJ, Chan TC, Li CF, Dilshan Sampath Dissanayaka D, Kianpour M, He HL, Huang SK, Li WS, Chen NY, Shiue YL. High glycosyltransferase 8 domain containing two protein levels contribute to poor prognosis in urothelial carcinoma. Int J Urol 2021; 28:1178-1187. [PMID: 34374132 DOI: 10.1111/iju.14656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/04/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To examine the expression levels of the glycosyltransferase 8 domain containing protein 2 and its clinical implications in urothelial carcinoma patients. METHODS Data mining, immunohistochemistry together with H-score calculation was carried out to evaluate the glycosyltransferase 8 domain containing protein 2 levels on tissue specimens from urothelial carcinoma patients, retrospectively. Correlations between glycosyltransferase 8 domain containing protein 2 H-score and imperative clinicopathological factors were measured. The indication of glycosyltransferase 8 domain containing protein 2 level on disease-specific and metastasis-free survivals were next analyzed. RESULTS In upper tract urothelial carcinomas (n = 340) and bladder urothelial carcinomas (n = 295), 170 (50%) and 148 (50%) patients, respectively, were identified to have high glycosyltransferase 8 domain containing protein 2 expression. The glycosyltransferase 8 domain containing protein 2 levels were correlated to several clinicopathological characteristics and patient survival. Upregulation of the glycosyltransferase 8 domain containing protein 2 was correlated to primary tumor (P < 0.001), nodal metastasis (P < 0.001), histological grade (P < 0.001), vascular invasion (P < 0.001), perineural invasion (P < 0.05) and mitotic rate (P < 0.001). High glycosyltransferase 8 domain containing protein 2 levels independently predicted poor disease-specific survival (P = 0.049) and metastasis-free survival (P = 0.008) in upper tract urothelial carcinoma and urinary bladder urothelial carcinoma, respectively. Gene Ontology enrichment analysis additionally showed that multiple biological processes were enriched including "ECM organization" (Gene Ontology:0030198), "extracellular structure organization" (Gene Ontology:0043062), "biological adhesion" (Gene Ontology:0022610), "cell adhesion" (Gene Ontology:0007155), "collagen fibril organization" (Gene Ontology:0030199) and "vasculature development" (Gene Ontology:0001944). CONCLUSIONS The present findings suggest that upregulation of the glycosyltransferase 8 domain containing protein 2 is an independent and disadvantageous prognosticator in urothelial carcinoma. High glycosyltransferase 8 domain containing protein 2 level might play a crucial role in progression of urothelial carcinoma.
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Affiliation(s)
- Tzu-Ju Chen
- Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan.,Department of Pathology, Chi Mei Medical Center, Tainan, Taiwan.,Department of Medical Technology, Chung Hwa University of Medical Technology, Tainan, Taiwan
| | - Ti-Chun Chan
- Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.,National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Chien-Feng Li
- Department of Pathology, Chi Mei Medical Center, Tainan, Taiwan.,Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.,National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.,Institute of Precision Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan.,Department of Pathology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | | | - Maryam Kianpour
- Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Hong-Lin He
- Department of Pathology, Chi Mei Medical Center, Tainan, Taiwan.,Department of Optometry, Chung Hwa University of Medical Technology, Tainan, Taiwan
| | - Steven K Huang
- Division of Urology, Department of Surgery, Chi Mei Medical Center, Tainan, Taiwan
| | - Wan-Shan Li
- Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan.,Department of Pathology, Chi Mei Medical Center, Tainan, Taiwan
| | - Nai-Yu Chen
- Institute of Precision Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Yow-Ling Shiue
- Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan.,Institute of Precision Medicine, National Sun Yat-Sen University, Kaohsiung, Taiwan
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27
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Cerebrospinal Fluid Chitinases as Biomarkers for Amyotrophic Lateral Sclerosis. Diagnostics (Basel) 2021; 11:diagnostics11071210. [PMID: 34359293 PMCID: PMC8305219 DOI: 10.3390/diagnostics11071210] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 11/16/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative neuromuscular disease that affects motor neurons controlling voluntary muscles. Survival is usually 2–5 years after onset, and death occurs due to respiratory failure. The identification of biomarkers would be very useful to help in disease diagnosis and for patient stratification based on, e.g., progression rate, with implications in therapeutic trials. Neurofilaments constitute already-promising markers for ALS and, recently, chitinases have emerged as novel marker targets for the disease. Here, we investigated cerebrospinal fluid (CSF) chitinases as potential markers for ALS. Chitotriosidase (CHIT1), chitinase-3-like protein 1 (CHI3L1), chitinase-3-like protein 2 (CHI3L2) and the benchmark marker phosphoneurofilament heavy chain (pNFH) were quantified by an enzyme-linked immunosorbent assay (ELISA) from the CSF of 34 ALS patients and 24 control patients with other neurological diseases. CSF was also analyzed by UHPLC-mass spectrometry. All three chitinases, as well as pNFH, were found to correlate with disease progression rate. Furthermore, CHIT1 was elevated in ALS patients with high diagnostic performance, as was pNFH. On the other hand, CHIT1 correlated with forced vital capacity (FVC). The three chitinases correlated with pNFH, indicating a relation between degeneration and neuroinflammation. In conclusion, our results supported the value of CHIT1 as a diagnostic and progression rate biomarker, and its potential as respiratory function marker. The results opened novel perspectives to explore chitinases as biomarkers and their functional relevance in ALS.
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28
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Hu J, Lepore R, Dobson RJB, Al-Chalabi A, M. Bean D, Iacoangeli A. DGLinker: flexible knowledge-graph prediction of disease-gene associations. Nucleic Acids Res 2021; 49:W153-W161. [PMID: 34125897 PMCID: PMC8262728 DOI: 10.1093/nar/gkab449] [Citation(s) in RCA: 8] [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: 03/04/2021] [Revised: 04/30/2021] [Accepted: 05/17/2021] [Indexed: 11/14/2022] Open
Abstract
As a result of the advent of high-throughput technologies, there has been rapid progress in our understanding of the genetics underlying biological processes. However, despite such advances, the genetic landscape of human diseases has only marginally been disclosed. Exploiting the present availability of large amounts of biological and phenotypic data, we can use our current understanding of disease genetics to train machine learning models to predict novel genetic factors associated with the disease. To this end, we developed DGLinker, a webserver for the prediction of novel candidate genes for human diseases given a set of known disease genes. DGLinker has a user-friendly interface that allows non-expert users to exploit biomedical information from a wide range of biological and phenotypic databases, and/or to upload their own data, to generate a knowledge-graph and use machine learning to predict new disease-associated genes. The webserver includes tools to explore and interpret the results and generates publication-ready figures. DGLinker is available at https://dglinker.rosalind.kcl.ac.uk. The webserver is free and open to all users without the need for registration.
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Affiliation(s)
- Jiajing Hu
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 9RT, UK
| | - Rosalba Lepore
- BSC-CNS Barcelona Supercomputing Center, Barcelona, 08034, Spain
| | - Richard J B Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Health Data Research UK London, University College London, London, WC1E 6BT, UK
- Institute of Health Informatics, University College London, London, NW1 2DA, UK
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 9RT, UK
- King′s College Hospital, Bessemer Road, Denmark Hill, London, SE5 9RS, UK
| | - Daniel M. Bean
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Health Data Research UK London, University College London, London, WC1E 6BT, UK
| | - Alfredo Iacoangeli
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 9RT, UK
- National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King's College London, London, SE5 8AF, UK
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Amyotrophic Lateral Sclerosis: Molecular Mechanisms, Biomarkers, and Therapeutic Strategies. Antioxidants (Basel) 2021; 10:antiox10071012. [PMID: 34202494 PMCID: PMC8300638 DOI: 10.3390/antiox10071012] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 06/16/2021] [Accepted: 06/23/2021] [Indexed: 12/12/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with the progressive loss of motor neurons, leading to a fatal paralysis. According to whether there is a family history of ALS, ALS can be roughly divided into two types: familial and sporadic. Despite decades of research, the pathogenesis of ALS is still unelucidated. To this end, we review the recent progress of ALS pathogenesis, biomarkers, and treatment strategies, mainly discuss the roles of immune disorders, redox imbalance, autophagy dysfunction, and disordered iron homeostasis in the pathogenesis of ALS, and introduce the effects of RNA binding proteins, ALS-related genes, and non-coding RNA as biomarkers on ALS. In addition, we also mention other ALS biomarkers such as serum uric acid (UA), cardiolipin (CL), chitotriosidase (CHIT1), and neurofilament light chain (NFL). Finally, we discuss the drug therapy, gene therapy, immunotherapy, and stem cell-exosomal therapy for ALS, attempting to find new therapeutic targets and strategies. A challenge is to study the various mechanisms of ALS as a syndrome. Biomarkers that have been widely explored are indispensable for the diagnosis, treatment, and prevention of ALS. Moreover, the development of new genes and targets is an urgent task in this field.
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30
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Mutation spectrum of amyotrophic lateral sclerosis in Central South China. Neurobiol Aging 2021; 107:181-188. [PMID: 34275688 DOI: 10.1016/j.neurobiolaging.2021.06.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/31/2021] [Accepted: 06/12/2021] [Indexed: 02/08/2023]
Abstract
To analyze the mutational spectrum of known ALS causative genes in China ALS patients. We comprehensively analyzed 51 ALS causative genes by combining different sequencing technologies in 753 unrelated ALS patients from Central South China. The mean age at onset (AAO) was 53.7±11.4 years. The AAO was earlier in the autosomal dominant (AD) ALS patients than in the sporadic ALS (sALS) patients. Bulbar onset was more frequent in females than in males. SOD1 was the most frequently mutated gene in the AD-ALS and the sALS patients, followed by the ATXN2 and FUS genes in the AD-ALS patients and the NEK1 and CACNA1H genes in the sALS patients. Patients with RDVs in the SOD1 or FUS genes had an earlier AAO than the mean AAO of all the patients, while the patients with RDVs in the NEK1 gene showed later onset. SOD1 gene was the most commonly mutated gene in ALS patients in China, followed by ATXN2 and NEK1. The phenotype might be determined synergistically by sex and genetic variants.
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31
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The role of DNA damage response in amyotrophic lateral sclerosis. Essays Biochem 2021; 64:847-861. [PMID: 33078197 PMCID: PMC7588667 DOI: 10.1042/ebc20200002] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 09/28/2020] [Accepted: 09/29/2020] [Indexed: 12/13/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a rapidly disabling and fatal neurodegenerative disease. Due to insufficient disease-modifying treatments, there is an unmet and urgent need for elucidating disease mechanisms that occur early and represent common triggers in both familial and sporadic ALS. Emerging evidence suggests that impaired DNA damage response contributes to age-related somatic accumulation of genomic instability and can trigger or accelerate ALS pathological manifestations. In this review, we summarize and discuss recent studies indicating a direct link between DNA damage response and ALS. Further mechanistic understanding of the role genomic instability is playing in ALS disease pathophysiology will be critical for discovering new therapeutic avenues.
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32
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Germinal GLT8D1, GATAD2A and SLC25A39 mutations in a patient with a glomangiopericytal tumor and five different sarcomas over a 10-year period. Sci Rep 2021; 11:9765. [PMID: 33963205 PMCID: PMC8105326 DOI: 10.1038/s41598-021-88671-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/15/2021] [Indexed: 11/26/2022] Open
Abstract
Soft tissue sarcoma represents about 1% of all adult cancers. Occurrence of multiple sarcomas in a same individual cannot be fortuitous. A 72-year-old patient had between 2007 and 2016 a glomangiopericytal tumor of the right forearm and a succession of sarcomas of the extremities: a leiomyosarcoma of the left buttock, a myxofibrosarcoma (MFS) of the right forearm, a MFS of the left scapula, a left latero-thoracic MFS and two undifferentiated sarcomas on the left forearm. Pathological examination of the six locations was not in favor of disease with local/distant recurrences but could not confirm different diseases. An extensive molecular analysis including DNA-array, RNA-sequencing and DNA-Sanger-sequencing, was thus performed to determine the link between them. The genomic profile of the glomangiopericytal tumor and the six sarcomas revealed that five sarcomas were different diseases and one was the local recurrence of the glomangiopericytal tumor. While the chromosomal alterations in the six tumors were different, a common somatic CDKN2A/CDKN2B deletion was identified. RNA-sequencing of five tumors identified mutations in GLT8D1, GATAD2A and SLC25A39 in all samples. The germline origin of these mutations was confirmed by Sanger-sequencing. Innovative molecular analysis methods have made possible a better understanding of the complex tumorigenesis of multiple sarcomas.
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Yilihamu M, He J, Liu X, Tian J, Fan D. GLT8D1 may not be significant in Chinese sporadic amyotrophic lateral sclerosis patients. Neurobiol Aging 2021; 102:224.e1-224.e3. [PMID: 33714647 DOI: 10.1016/j.neurobiolaging.2021.01.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 12/27/2020] [Accepted: 01/26/2021] [Indexed: 11/20/2022]
Abstract
To detect the mutation frequency of exon 4 of amyotrophic lateral sclerosis (ALS) in a new disease-causing gene, GLT8D1 (NM_018446), in Chinese patients, we used whole-exome sequencing technology to screen the full-length GLT8D1 gene in 539 Chinese sporadic ALS patients and 176 controls without a history of neurological diseases. Then, we sequenced the coding region of exon 4 in the GLT8D1 gene in a cohort consisting of 256 sporadic ALS patients. Our current results did not find an association between GLT8D1 and ALS in Chinese patients, and further studies will be required.
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Affiliation(s)
- Mubalake Yilihamu
- 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
| | - 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
| | - Jinzhou Tian
- Neurology Centre, Dongzhimen Hospital, Beijing University of Chinese Medicine, 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.
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Liu J, Huang Y, Li T, Jiang Z, Zeng L, Hu Z. The role of the Golgi apparatus in disease (Review). Int J Mol Med 2021; 47:38. [PMID: 33537825 PMCID: PMC7891830 DOI: 10.3892/ijmm.2021.4871] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 01/15/2021] [Indexed: 02/07/2023] Open
Abstract
The Golgi apparatus is known to underpin many important cellular homeostatic functions, including trafficking, sorting and modifications of proteins or lipids. These functions are dysregulated in neurodegenerative diseases, cancer, infectious diseases and cardiovascular diseases, and the number of disease-related genes associated with Golgi apparatus is on the increase. Recently, many studies have suggested that the mutations in the genes encoding Golgi resident proteins can trigger the occurrence of diseases. By summarizing the pathogenesis of these genetic diseases, it was found that most of these diseases have defects in membrane trafficking. Such defects typically result in mislocalization of proteins, impaired glycosylation of proteins, and the accumulation of undegraded proteins. In the present review, we aim to understand the patterns of mutations in the genes encoding Golgi resident proteins and decipher the interplay between Golgi resident proteins and membrane trafficking pathway in cells. Furthermore, the detection of Golgi resident protein in human serum samples has the potential to be used as a diagnostic tool for diseases, and its central role in membrane trafficking pathways provides possible targets for disease therapy. Thus, we also introduced the clinical value of Golgi apparatus in the present review.
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Affiliation(s)
- Jianyang Liu
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Yan Huang
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Ting Li
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Zheng Jiang
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Liuwang Zeng
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Zhiping Hu
- Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
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Genetic analysis of GLT8D1 and ARPP21 in Australian familial and sporadic amyotrophic lateral sclerosis. Neurobiol Aging 2021; 101:297.e9-297.e11. [PMID: 33581934 DOI: 10.1016/j.neurobiolaging.2021.01.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/26/2020] [Accepted: 01/09/2021] [Indexed: 12/12/2022]
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease caused by the progressive degeneration of motor neurons. Recently, genetic variants in GLT8D1 and ARPP21 were associated with ALS in a cohort of European descent. A synergistic relationship was proposed between ALS associated variants in GLT8D1 and ARPP21. We aimed to determine the prevalence of genetic variation in GLT8D1 and ARPP21 in an Australian cohort of familial (n = 81) and sporadic ALS (n = 618) cases using whole-exome and whole-genome sequencing data. No novel mutations were identified in either gene, nor was there significant enrichment of protein-altering sequence variation among ALS cases. GLT8D1 and ARPP21 mutations are not a common cause of ALS in Australian familial and sporadic cohorts.
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Pathogenic Genome Signatures That Damage Motor Neurons in Amyotrophic Lateral Sclerosis. Cells 2020; 9:cells9122687. [PMID: 33333804 PMCID: PMC7765192 DOI: 10.3390/cells9122687] [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: 11/03/2020] [Revised: 12/04/2020] [Accepted: 12/09/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is the most frequent motor neuron disease and a neurodegenerative disorder, affecting the upper and/or lower motor neurons. Notably, it invariably leads to death within a few years of onset. Although most ALS cases are sporadic, familial amyotrophic lateral sclerosis (fALS) forms 10% of the cases. In 1993, the first causative gene (SOD1) of fALS was identified. With rapid advances in genetics, over fifty potentially causative or disease-modifying genes have been found in ALS so far. Accordingly, routine diagnostic tests should encompass the oldest and most frequently mutated ALS genes as well as several new important genetic variants in ALS. Herein, we discuss current literatures on the four newly identified ALS-associated genes (CYLD, S1R, GLT8D1, and KIF5A) and the previously well-known ALS genes including SOD1, TARDBP, FUS, and C9orf72. Moreover, we review the pathogenic implications and disease mechanisms of these genes. Elucidation of the cellular and molecular functions of the mutated genes will bring substantial insights for the development of therapeutic approaches to treat ALS.
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Moll T, Shaw PJ, Cooper-Knock J. Disrupted glycosylation of lipids and proteins is a cause of neurodegeneration. Brain 2020; 143:1332-1340. [PMID: 31724708 PMCID: PMC7241952 DOI: 10.1093/brain/awz358] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/10/2019] [Accepted: 09/16/2019] [Indexed: 12/13/2022] Open
Abstract
Glycosyltransferases represent a large family of enzymes that catalyse the biosynthesis of oligosaccharides, polysaccharides, and glycoconjugates. A number of studies have implicated glycosyltransferases in the pathogenesis of neurodegenerative diseases but differentiating cause from effect has been difficult. We have recently discovered that mutations proximal to the substrate binding site of glycosyltransferase 8 domain containing 1 (GLT8D1) are associated with familial amyotrophic lateral sclerosis (ALS). We demonstrated that ALS-associated mutations reduce activity of the enzyme suggesting a loss-of-function mechanism that is an attractive therapeutic target. Our work is the first evidence that isolated dysfunction of a glycosyltransferase is sufficient to cause a neurodegenerative disease, but connection between neurodegeneration and genetic variation within glycosyltransferases is not new. Previous studies have identified associations between mutations in UGT8 and sporadic ALS, and between ST6GAL1 mutations and conversion of mild cognitive impairment into clinical Alzheimer’s disease. In this review we consider potential mechanisms connecting glycosyltransferase dysfunction to neurodegeneration. The most prominent candidates are ganglioside synthesis and impaired addition of O-linked β-N-acetylglucosamine (O-GlcNAc) groups to proteins important for axonal and synaptic function. Special consideration is given to examples where genetic mutations within glycosyltransferases are associated with neurodegeneration in recognition of the fact that these changes are likely to be upstream causes present from birth.
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Affiliation(s)
- Tobias Moll
- Sheffield Institute for Translational Neuroscience (SITraN), Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), Sheffield, UK
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Abstract
Abstract
Purpose of Review
Amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD) spectrum disorder is a rare fatal disease with strong genetic influences. The implementation of short-read sequencing methodologies in increasingly large patient cohorts has rapidly expanded our knowledge of the complex genetic architecture of the disease. We aim to convey the broad history of ALS gene discovery as context for a focused review of 11 ALS gene associations reported over the last 5 years. We also summarize the current level of genetic evidence for all previously reported genes.
Recent Findings
The history of ALS gene discovery has occurred in at least four identifiable phases, each powered by different technologies and scale of investigation. The most recent epoch, benefitting from population-scale genome data, large international consortia, and low-cost sequencing, has yielded 11 new gene associations. We summarize the current level of genetic evidence supporting these ALS genes, highlighting any genotype-phenotype or genotype-pathology correlations, and discussing preliminary understanding of molecular pathogenesis. This era has also raised uncertainty around prior ALS-associated genes and clarified the role of others.
Summary
Our understanding of the genetic underpinning of ALS has expanded rapidly over the last 25 years and has led directly to the clinical application of molecularly driven therapies. Ongoing sequencing efforts in ALS will identify new causative and risk factor genes while clarifying the status of genes reported in prior eras of research.
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Teyssou E, Muratet F, Amador MDM, Ferrien M, Lautrette G, Machat S, Boillée S, Larmonier T, Saker S, Leguern E, Cazeneuve C, Marie Y, Guegan J, Gyorgy B, Cintas P, Meininger V, Le Forestier N, Salachas F, Couratier P, Camu W, Seilhean D, Millecamps S. Genetic screening of ANXA11 revealed novel mutations linked to amyotrophic lateral sclerosis. Neurobiol Aging 2020; 99:102.e11-102.e20. [PMID: 33218681 DOI: 10.1016/j.neurobiolaging.2020.10.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/02/2020] [Accepted: 10/18/2020] [Indexed: 12/11/2022]
Abstract
ANXA11 mutations have previously been discovered in amyotrophic lateral sclerosis (ALS) motor neuron disease. To confirm the contribution of ANXA11 mutations to ALS, a large exome data set obtained from 330 French patients, including 150 familial ALS index cases and 180 sporadic ALS cases, was analyzed, leading to the identification of 3 rare ANXA11 variants in 5 patients. The novel p.L254V variant was associated with early onset sporadic ALS. The novel p.D40Y mutation and the p.G38R variant concerned patients with predominant pyramidal tract involvement and cognitive decline. Neuropathologic findings in a p.G38R carrier associated the presence of ALS typical inclusions within the spinal cord, massive degeneration of the lateral tracts, and type A frontotemporal lobar degeneration. This mutant form of annexin A11 accumulated in various brain regions and in spinal cord motor neurons, although its stability was decreased in patients' lymphoblasts. Because most ANXA11 inclusions were not colocalized with transactive response DNA-binding protein 43 or p62 deposits, ANXA11 aggregation does not seem mandatory to trigger neurodegeneration with additional participants/partner proteins that could intervene.
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Affiliation(s)
- Elisa Teyssou
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France
| | - François Muratet
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France
| | - Maria-Del-Mar Amador
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France; Département de Neurologie, Assistance Publique Hôpitaux de Paris (APHP), Centre de référence SLA Ile de France, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Mélanie Ferrien
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France
| | - Géraldine Lautrette
- Service de Neurologie, Centre de Référence SLA et autres maladies du neurone moteur, Limoges, France
| | - Selma Machat
- Service de Neurologie, Centre de Référence SLA et autres maladies du neurone moteur, Limoges, France
| | - Séverine Boillée
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France
| | | | - Safaa Saker
- Banque d'ADN et de cellules du Généthon, Evry, France
| | - Eric Leguern
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France; Département de Génétique et Cytogénétique, Unité Fonctionnelle de neurogénétique moléculaire et cellulaire, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Cécile Cazeneuve
- Département de Génétique et Cytogénétique, Unité Fonctionnelle de neurogénétique moléculaire et cellulaire, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Yannick Marie
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France
| | - Justine Guegan
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France
| | - Beata Gyorgy
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France
| | - Pascal Cintas
- Département de Neurologie, Centre de référence SLA, CHU de Toulouse, Toulouse, France
| | | | - Nadine Le Forestier
- Département de Neurologie, Assistance Publique Hôpitaux de Paris (APHP), Centre de référence SLA Ile de France, Hôpital de la Pitié-Salpêtrière, Paris, France; Département de recherche en éthique, EA 1610, Etudes des sciences et techniques, Université Paris Sud/Paris Saclay, Orsay, France
| | - François Salachas
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France; Département de Neurologie, Assistance Publique Hôpitaux de Paris (APHP), Centre de référence SLA Ile de France, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Philippe Couratier
- Service de Neurologie, Centre de Référence SLA et autres maladies du neurone moteur, Limoges, France
| | - William Camu
- Centre de référence SLA, Hôpital Gui de Chauliac, CHU et Université de Montpellier, Montpellier, France
| | - Danielle Seilhean
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France; Département de Neuropathologie, APHP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Stéphanie Millecamps
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U1127, CNRS UMR7225, Sorbonne Université, UPMC Univ Paris 6 UMRS1127, Paris, France.
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Cao B, Gu X, Wei Q, Li C, Chen Y, Ou R, Hou Y, Zhang L, Li T, Song W, Zhao B, Wu Y, Chen X, Shang H. Mutation screening and burden analysis of GLT8D1 in Chinese patients with amyotrophic lateral sclerosis. Neurobiol Aging 2020; 101:298.e17-298.e21. [PMID: 33581933 DOI: 10.1016/j.neurobiolaging.2020.10.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/20/2020] [Accepted: 10/17/2020] [Indexed: 02/08/2023]
Abstract
The glycosyltransferase 8 domain containing 1 (GLT8D1) gene was identified to be an amyotrophic lateral sclerosis (ALS)-causative gene via pedigree cosegregation and burden analysis. In the present study, 977 Chinese sporadic ALS (sALS) cases and 47 Chinese familial ALS (fALS) cases underwent whole-exome sequencing. Rare variants with minor allele frequency <0.1% in GLT8D1 were analyzed. One likely pathogenic variant in the exon 4 was identified in a fALS case and validated within the family. Moreover, 3 rare variants of uncertain significance in 4 patients with sALS and 1 rare variant of uncertain significance in 1 patient with fALS were also identified. Furthermore, by using the East Asian controls from the gnomAD database, there was no significant enrichment of rare variants of GLT8D1 at the whole-gene level or the exon 4-specific level in Chinese patients with sALS. In conclusion, cosegregation findings further support the pathogenic role of GLT8D1 in fALS. However, no pathogenic mutation and no enrichment of rare variants were found in patients with sALS, which implies that GLT8D1 may not play a role in Chinese patients with sALS.
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Affiliation(s)
- Bei Cao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiaojing Gu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qianqian Wei
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chunyu Li
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yongping Chen
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ruwei Ou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanbing Hou
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lingyu Zhang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tao Li
- Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Song
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bi Zhao
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ying Wu
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueping Chen
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare disease Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Lattante S, Marangi G, Doronzio PN, Conte A, Bisogni G, Zollino M, Sabatelli M. High-Throughput Genetic Testing in ALS: The Challenging Path of Variant Classification Considering the ACMG Guidelines. Genes (Basel) 2020; 11:genes11101123. [PMID: 32987860 PMCID: PMC7600768 DOI: 10.3390/genes11101123] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/15/2020] [Accepted: 09/22/2020] [Indexed: 12/17/2022] Open
Abstract
The development of high-throughput sequencing technologies and screening of big patient cohorts with familial and sporadic amyotrophic lateral sclerosis (ALS) led to the identification of a significant number of genetic variants, which are sometimes difficult to interpret. The American College of Medical Genetics and Genomics (ACMG) provided guidelines to help molecular geneticists and pathologists to interpret variants found in laboratory testing. We assessed the application of the ACMG criteria to ALS-related variants, combining data from literature with our experience. We analyzed a cohort of 498 ALS patients using massive parallel sequencing of ALS-associated genes and identified 280 variants with a minor allele frequency < 1%. Examining all variants using the ACMG criteria, thus considering the type of variant, inheritance, familial segregation, and possible functional studies, we classified 20 variants as “pathogenic”. In conclusion, ALS’s genetic complexity, such as oligogenic inheritance, presence of genes acting as risk factors, and reduced penetrance, needs to be considered when interpreting variants. The goal of this work is to provide helpful suggestions to geneticists and clinicians dealing with ALS.
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Affiliation(s)
- Serena Lattante
- Section of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy; (S.L.); (P.N.D.); (M.Z.)
- Complex Operational Unit of Medical Genetics, Department of Laboratory and Infectious Disease Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy
| | - Giuseppe Marangi
- Section of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy; (S.L.); (P.N.D.); (M.Z.)
- Complex Operational Unit of Medical Genetics, Department of Laboratory and Infectious Disease Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy
- Correspondence: ; Tel.: +39-0630154606
| | - Paolo Niccolò Doronzio
- Section of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy; (S.L.); (P.N.D.); (M.Z.)
- Complex Operational Unit of Medical Genetics, Department of Laboratory and Infectious Disease Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy
| | - Amelia Conte
- Adult NEMO Clinical Center, Complex Operational Unit of Neurology, Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy; (A.C.); (G.B.); (M.S.)
| | - Giulia Bisogni
- Adult NEMO Clinical Center, Complex Operational Unit of Neurology, Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy; (A.C.); (G.B.); (M.S.)
| | - Marcella Zollino
- Section of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy; (S.L.); (P.N.D.); (M.Z.)
- Complex Operational Unit of Medical Genetics, Department of Laboratory and Infectious Disease Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy
| | - Mario Sabatelli
- Adult NEMO Clinical Center, Complex Operational Unit of Neurology, Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy; (A.C.); (G.B.); (M.S.)
- Section of Neurology, Department of Neuroscience, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy
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Ranganathan R, Haque S, Coley K, Shepheard S, Cooper-Knock J, Kirby J. Multifaceted Genes in Amyotrophic Lateral Sclerosis-Frontotemporal Dementia. Front Neurosci 2020; 14:684. [PMID: 32733193 PMCID: PMC7358438 DOI: 10.3389/fnins.2020.00684] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 06/04/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis and frontotemporal dementia are two progressive, adult onset neurodegenerative diseases, caused by the cell death of motor neurons in the motor cortex and spinal cord and cortical neurons in the frontal and temporal lobes, respectively. Whilst these have previously appeared to be quite distinct disorders, in terms of areas affected and clinical symptoms, identification of cognitive dysfunction as a component of amyotrophic lateral sclerosis (ALS), with some patients presenting with both ALS and FTD, overlapping features of neuropathology and the ongoing discoveries that a significant proportion of the genes underlying the familial forms of the disease are the same, has led to ALS and FTD being described as a disease spectrum. Many of these genes encode proteins in common biological pathways including RNA processing, autophagy, ubiquitin proteasome system, unfolded protein response and intracellular trafficking. This article provides an overview of the ALS-FTD genes before summarizing other known ALS and FTD causing genes where mutations have been found primarily in patients of one disease and rarely in the other. In discussing these genes, the review highlights the similarity of biological pathways in which the encoded proteins function and the interactions that occur between these proteins, whilst recognizing the distinctions of MAPT-related FTD and SOD1-related ALS. However, mutations in all of these genes result in similar pathology including protein aggregation and neuroinflammation, highlighting that multiple different mechanisms lead to common downstream effects and neuronal loss. Next generation sequencing has had a significant impact on the identification of genes associated with both diseases, and has also highlighted the widening clinical phenotypes associated with variants in these ALS and FTD genes. It is hoped that the large sequencing initiatives currently underway in ALS and FTD will begin to uncover why different diseases are associated with mutations within a single gene, especially as a personalized medicine approach to therapy, based on a patient's genetics, approaches the clinic.
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Affiliation(s)
- Ramya Ranganathan
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, United Kingdom
| | - Shaila Haque
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, United Kingdom
- Department of Biochemistry and Biotechnology, University of Barishal, Barishal, Bangladesh
| | - Kayesha Coley
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, United Kingdom
| | - Stephanie Shepheard
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, United Kingdom
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, United Kingdom
| | - Janine Kirby
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, United Kingdom
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A Systematic Review of Genotype-Phenotype Correlation across Cohorts Having Causal Mutations of Different Genes in ALS. J Pers Med 2020; 10:jpm10030058. [PMID: 32610599 PMCID: PMC7564886 DOI: 10.3390/jpm10030058] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 06/09/2020] [Accepted: 06/15/2020] [Indexed: 12/13/2022] Open
Abstract
Amyotrophic lateral sclerosis is a rare and fatal neurodegenerative disease characterised by progressive deterioration of upper and lower motor neurons that eventually culminates in severe muscle atrophy, respiratory failure and death. There is a concerning lack of understanding regarding the mechanisms that lead to the onset of ALS and as a result there are no reliable biomarkers that aid in the early detection of the disease nor is there an effective treatment. This review first considers the clinical phenotypes associated with ALS, and discusses the broad categorisation of ALS and ALS-mimic diseases into upper and lower motor neuron diseases, before focusing on the genetic aetiology of ALS and considering the potential relationship of mutations of different genes to variations in phenotype. For this purpose, a systematic review is conducted collating data from 107 original published clinical studies on monogenic forms of the disease, surveying the age and site of onset, disease duration and motor neuron involvement. The collected data highlight the complexity of the disease's genotype-phenotype relationship, and thus the need for a nuanced approach to the development of clinical assays and therapeutics.
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Trojsi F, D’Alvano G, Bonavita S, Tedeschi G. Genetics and Sex in the Pathogenesis of Amyotrophic Lateral Sclerosis (ALS): Is There a Link? Int J Mol Sci 2020; 21:ijms21103647. [PMID: 32455692 PMCID: PMC7279172 DOI: 10.3390/ijms21103647] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/17/2020] [Accepted: 05/18/2020] [Indexed: 12/11/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with no known cure. Approximately 90% of ALS cases are sporadic, although multiple genetic risk factors have been recently revealed also in sporadic ALS (SALS). The pathological expansion of a hexanucleotide repeat in chromosome 9 open reading frame 72 (C9orf72) is the most common genetic mutation identified in familial ALS, detected also in 5–10% of SALS patients. C9orf72-related ALS phenotype appears to be dependent on several modifiers, including demographic factors. Sex has been reported as an independent factor influencing ALS development, with men found to be more susceptible than women. Exposure to both female and male sex hormones have been shown to influence disease risk or progression. Moreover, interplay between genetics and sex has been widely investigated in ALS preclinical models and in large populations of ALS patients carrying C9orf72 repeat expansion. In light of the current need for reclassifying ALS patients into pathologically homogenous subgroups potentially responsive to targeted personalized therapies, we aimed to review the recent literature on the role of genetics and sex as both independent and synergic factors, in the pathophysiology, clinical presentation, and prognosis of ALS. Sex-dependent outcomes may lead to optimizing clinical trials for developing patient-specific therapies for ALS.
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Taujale R, Venkat A, Huang LC, Zhou Z, Yeung W, Rasheed KM, Li S, Edison AS, Moremen KW, Kannan N. Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases. eLife 2020; 9:54532. [PMID: 32234211 PMCID: PMC7185993 DOI: 10.7554/elife.54532] [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: 12/17/2019] [Accepted: 03/31/2020] [Indexed: 12/26/2022] Open
Abstract
Glycosyltransferases (GTs) are prevalent across the tree of life and regulate nearly all aspects of cellular functions. The evolutionary basis for their complex and diverse modes of catalytic functions remain enigmatic. Here, based on deep mining of over half million GT-A fold sequences, we define a minimal core component shared among functionally diverse enzymes. We find that variations in the common core and emergence of hypervariable loops extending from the core contributed to GT-A diversity. We provide a phylogenetic framework relating diverse GT-A fold families for the first time and show that inverting and retaining mechanisms emerged multiple times independently during evolution. Using evolutionary information encoded in primary sequences, we trained a machine learning classifier to predict donor specificity with nearly 90% accuracy and deployed it for the annotation of understudied GTs. Our studies provide an evolutionary framework for investigating complex relationships connecting GT-A fold sequence, structure, function and regulation. Carbohydrates are one of the major groups of large biological molecules that regulate nearly all aspects of life. Yet, unlike DNA or proteins, carbohydrates are made without a template to follow. Instead, these molecules are built from a set of sugar-based building blocks by the intricate activities of a large and diverse family of enzymes known as glycosyltransferases. An incomplete understanding of how glycosyltransferases recognize and build diverse carbohydrates presents a major bottleneck in developing therapeutic strategies for diseases associated with abnormalities in these enzymes. It also limits efforts to engineer these enzymes for biotechnology applications and biofuel production. Taujale et al. have now used evolutionary approaches to map the evolution of a major subset of glycosyltransferases from species across the tree of life to understand how these enzymes evolved such precise mechanisms to build diverse carbohydrates. First, a minimal structural unit was defined based on being shared among a group of over half a million unique glycosyltransferase enzymes with different activities. Further analysis then showed that the diverse activities of these enzymes evolved through the accumulation of mutations within this structural unit, as well as in much more variable regions in the enzyme that extend from the minimal unit. Taujale et al. then built an extended family tree for this collection of glycosyltransferases and details of the evolutionary relationships between the enzymes helped them to create a machine learning framework that could predict which sugar-containing molecules were the raw materials for a given glycosyltransferase. This framework could make predictions with nearly 90% accuracy based only on information that can be deciphered from the gene for that enzyme. These findings will provide scientists with new hypotheses for investigating the complex relationships connecting the genetic information about glycosyltransferases with their structures and activities. Further refinement of the machine learning framework may eventually enable the design of enzymes with properties that are desirable for applications in biotechnology.
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Affiliation(s)
- Rahil Taujale
- Institute of Bioinformatics, University of Georgia, Athens, Georgia.,Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia
| | - Aarya Venkat
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia
| | - Liang-Chin Huang
- Institute of Bioinformatics, University of Georgia, Athens, Georgia
| | - Zhongliang Zhou
- Department of Computer Science, University of Georgia, Athens, Georgia
| | - Wayland Yeung
- Institute of Bioinformatics, University of Georgia, Athens, Georgia
| | - Khaled M Rasheed
- Department of Computer Science, University of Georgia, Athens, Georgia
| | - Sheng Li
- Department of Computer Science, University of Georgia, Athens, Georgia
| | - Arthur S Edison
- Institute of Bioinformatics, University of Georgia, Athens, Georgia.,Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia.,Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia
| | - Kelley W Moremen
- Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia.,Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia
| | - Natarajan Kannan
- Institute of Bioinformatics, University of Georgia, Athens, Georgia.,Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia
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Li W, Liu Z, Sun W, Yuan Y, Hu Y, Ni J, Jiao B, Fang L, Li J, Shen L, Tang B, Wang J. Mutation analysis of GLT8D1 and ARPP21 genes in amyotrophic lateral sclerosis patients from mainland China. Neurobiol Aging 2020; 85:156.e1-156.e4. [PMID: 31653410 DOI: 10.1016/j.neurobiolaging.2019.09.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 09/17/2019] [Accepted: 09/20/2019] [Indexed: 12/14/2022]
Abstract
Variants in exon 4 of gene encoding GLT8D1 (glycosyltransferase 8 domain containing 1) gene have recently been suggested as a novel cause of amyotrophic lateral sclerosis (ALS). In addition, there is a synergism between GLT8D1 and ARPP21 (cAMP Regulated Phosphoprotein 21) variants for ALS. However, this observation has not been validated in other ALS cohorts. In this study, we analyzed the rare pathogenic variants in GLT8D1 and ARPP21 genes in a cohort of 512 ALS patients and 3210 healthy controls from mainland China. A total of 25 rare variants in ARPP21 were identified in the patients and controls, but we did not find rare variants in exon 4 of GLT8D1 in the patients. By using Fisher's exact test, we did not find significant association between ALS and GLT8D1 or ARPP21. Therefore, GLT8D1 and ARPP21 are not likely the causative genes for ALS in mainland China.
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Affiliation(s)
- Wanzhen Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Zhen Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Weining Sun
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Yanchun Yuan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Yiting Hu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Jie Ni
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Bin Jiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Liangjuan Fang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; National Clinical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, People's Republic of China; Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, People's Republic of China
| | - Jinchen Li
- National Clinical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Lu Shen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; National Clinical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, People's Republic of China; Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, People's Republic of China
| | - Beisha Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; National Clinical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, People's Republic of China; Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, People's Republic of China
| | - Junling Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; National Clinical Research Center for Geriatric Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China; Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, Hunan, People's Republic of China; Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, People's Republic of China.
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Roggenbuck J, Doyle C, Lincoln T, Glass J. Theme 2 Genetics and genomics. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:114-134. [PMID: 31702465 DOI: 10.1080/21678421.2019.1646990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Background: A genetic basis is found in ∼70% of familial and ∼15% of sporadic ALS, in research cohorts. Clinical trials of gene-targeted therapies are underway, heralding a new era of personalized medicine in ALS treatment. However, ALS management guidelines do not include recommendations for the offer of genetic testing. Many persons with ALS who desire genetic testing are not currently offered it, and the yield of genetic testing in clinic-based ALS populations is unknown. The ALS GAP program, sponsored by the Northeast ALS (NEALS) Consortium, provides free genetic testing for patients with ALS who have a family history of ALS or dementia. We report genetic testing outcomes in the first 142 patients tested in the
program.Objectives: 1) To create a pilot ALS genetic testing program for NEALS clinics, 2) To study the rate of ALS gene identification in a US clinic-based populationMethods: Persons with ALS and a family history of ALS (fALS) or dementia (dALS) who receive care at a US NEALS clinic are eligible for testing. Patients classified as fALS (having a positive family history of ALS in a 1st, 2nd, or 3rd degree relative) are eligible for C9orf72 testing, with the option to reflex to a 5 gene (SOD1, FUS, TARDBP, TBK1, VCP) panel. Patients classified as dALS (having a positive family history of dementia of any type in a 1st or 2nd degree relative) are eligible for C9orf72 testing only.Results: Currently, 29.5% (34/115) of US NEALS clinics have participated in the program. Of 142 patients who have completed testing to date, 78 (54.9%) were classified as fALS and 64 (45.1%) as dALS. Among fALS cases, 42/78 (53.9%) tested positive, including 32/78 (41%) with a C9orf72 repeat expansion, and 10/78 (12.8%) with other pathogenic or likely pathogenic variants in SOD, FUS, TARDP or VCP. Variants of uncertain significance (VUS) in FUS were identified in 2/78 (2.6%). Among dALS cases, 12/60 (20%) tested positive for C9orf72.Discussion and conclusions: Participation in ALS-GAP indicates significant clinician and patient interest in ALS genetic testing. This program addresses several current barriers to testing access, including cost, identifying appropriate candidates for testing, and appropriate test selection. Although 38% of patients who participated in the program have thus far received a genetic diagnosis, our testing outcome data suggests that the gene identification rate in fALS cases may be lower in clinic-based patients than in research cohorts, particularly for genes other than C9orf72. This program may serve as a model for the practice of ALS genetic testing in the clinic setting. Consistent, equitable testing policies, as well as an accurate understanding of the genetic profile of clinic-based ALS populations, are needed as gene-targeted therapies reach patient care.
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Gieseler A, Hillert R, Krusche A, Zacher KH. Theme 5 Human cell biology and pathology. Amyotroph Lateral Scler Frontotemporal Degener 2019; 20:188-205. [PMID: 31702463 DOI: 10.1080/21678421.2019.1646993] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: The delay from onset of the first symptoms to a definite ALS diagnosis depends also on the elusiveness of the initial clinical manifestations. The lack of disease-specific biomarkers to detect early pathology when ALS is supposed complicates the situation. This latency reduces the therapeutic time frame, in which neuron-rescuing strategies exert their greatest chance to work. Various biomarkers are currently promised, but none of them are specific enough to allow monitoring of disease progression. This, as well as the heterogeneity of the disease concerning clinical onset pattern and survival rates, makes difficult the correct stratification of patients into clinical trials, masking the potential positive outcome in some patients.Objective: Our main objective is to establish and test an early diagnostic tool based on microscopic immune cell monitoring of ALS patients' blood samples by using the Toponome Imaging System (TIS).Methods: TIS is based on automatically controlled microscopic device involving conjugated dye-tag incubation, protein-tag-dye-imaging, and tag-dye bleaching (1). This leads to the collection of at least 21 cycle images of fixated peripheral blood mononuclear cells (PBMCs) isolated from freshly drawn blood of ALS patients and healthy "control" donors. Resulting data sets contain combinatorial molecular information about the spatial protein network, called toponome. The PBMC toponome architectures are quantitatively analyzed as a threshold-binary code with 1 = protein is present and 0 = protein is absent.Results: Preliminary screening data of PBMCs from 4 ALS patients reveal a subpopulation of lymphocytes expressing a specific surface protein pattern, called "ALS toponome". These aberrant T cells could not be found in blood samples of controls. We observe that the number of these cells correlate with the ALS progression rate of patients, supporting the conclusion that these cells may be causal for the disease.Discussion and conclusion: Although these findings open up a potential strategy to detect early ALS disease and to monitor disease progression, a statistical analysis with many more patients, as well as data based differentiation to other neurodegenerative diseases, is mandatory. A clinical trial initiated by our faceALS foundation with at least 60 patients classified in three subsets (1. control, 2. ALS, and 3. Multiple Sclerosis (MS)) and in close cooperation with leading ALS centres in Germany is still in progress. The detection of specific and/or aberrant immune cells in blood samples of ALS patients may provide a key to understand disease onset and progression, could be used for the "staging" of disease, and contribute to effective therapy options.
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Affiliation(s)
- Anne Gieseler
- FaceALS foundation, Centre for Neuroscientific Innovation and Technology (ZENIT), Magdeburg, Germany
| | - Reyk Hillert
- FaceALS foundation, Centre for Neuroscientific Innovation and Technology (ZENIT), Magdeburg, Germany
| | - Andreas Krusche
- FaceALS foundation, Centre for Neuroscientific Innovation and Technology (ZENIT), Magdeburg, Germany
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Halpern M, Brennand KJ, Gregory J. Examining the relationship between astrocyte dysfunction and neurodegeneration in ALS using hiPSCs. Neurobiol Dis 2019; 132:104562. [PMID: 31381978 DOI: 10.1016/j.nbd.2019.104562] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 06/28/2019] [Accepted: 07/31/2019] [Indexed: 02/07/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a complex and fatal neurodegenerative disease for which the causes of disease onset and progression remain unclear. Recent advances in human induced pluripotent stem cell (hiPSC)-based models permit the study of the genetic factors associated with ALS in patient-derived neural cell types, including motor neurons and glia. While astrocyte dysfunction has traditionally been thought to exacerbate disease progression, astrocytic dysfunction may play a more direct role in disease initiation and progression. Such non-cell autonomous mechanisms expand the potential targets of therapeutic intervention, but only a handful of ALS risk-associated genes have been examined for their impact on astrocyte dysfunction and neurodegeneration. This review summarizes what is currently known about astrocyte function in ALS and suggests ways in which hiPSC-based models can be used to more effectively study the role of astrocytes in neurodegenerative disease.
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Affiliation(s)
- Madeline Halpern
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States of America
| | - Kristen J Brennand
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States of America; Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States of America; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States of America; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States of America.
| | - James Gregory
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY 10013, United States of America.
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