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Slater N, Sooda A, McLeish E, Beer K, Brusch A, Shakya R, Bundell C, James I, Chopra A, Mastaglia FL, Needham M, Coudert JD. High-resolution HLA genotyping in inclusion body myositis refines 8.1 ancestral haplotype association to DRB1*03:01:01 and highlights pathogenic role of arginine-74 of DRβ1 chain. J Autoimmun 2024; 142:103150. [PMID: 38043487 DOI: 10.1016/j.jaut.2023.103150] [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: 09/28/2023] [Revised: 11/01/2023] [Accepted: 11/15/2023] [Indexed: 12/05/2023]
Abstract
OBJECTIVES Inclusion body myositis (IBM) is a progressive inflammatory-degenerative muscle disease of older individuals, with some patients producing anti-cytosolic 5'-nucleotidase 1A (NT5C1A, aka cN1A) antibodies. Human Leukocyte Antigens (HLA) is the highest genetic risk factor for developing IBM. In this study, we aimed to further define the contribution of HLA alleles to IBM and the production of anti-cN1A antibodies. METHODS We HLA haplotyped a Western Australian cohort of 113 Caucasian IBM patients and 112 ethnically matched controls using Illumina next-generation sequencing. Allele frequency analysis and amino acid alignments were performed using the Genentech/MiDAS bioinformatics package. Allele frequencies were compared using Fisher's exact test. Age at onset analysis was performed using the ggstatsplot package. All analysis was carried out in RStudio version 1.4.1717. RESULTS Our findings validated the independent association of HLA-DRB1*03:01:01 with IBM and attributed the risk to an arginine residue in position 74 within the DRβ1 protein. Conversely, DRB4*01:01:01 and DQA1*01:02:01 were found to have protective effects; the carriers of DRB1*03:01:01 that did not possess these alleles had a fourteenfold increased risk of developing IBM over the general Caucasian population. Furthermore, patients with the abovementioned genotype developed symptoms on average five years earlier than patients without. We did not find any HLA associations with anti-cN1A antibody production. CONCLUSIONS High-resolution HLA sequencing more precisely characterised the alleles associated with IBM and defined a haplotype linked to earlier disease onset. Identification of the critical amino acid residue by advanced biostatistical analysis of immunogenetics data offers mechanistic insights and future directions into uncovering IBM aetiopathogenesis.
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Affiliation(s)
- Nataliya Slater
- Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics, Murdoch, WA, Australia
| | - Anuradha Sooda
- Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics, Murdoch, WA, Australia
| | - Emily McLeish
- Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics, Murdoch, WA, Australia
| | - Kelly Beer
- Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics, Murdoch, WA, Australia; Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
| | - Anna Brusch
- PathWest Laboratory Medicine, Dept of Clinical Immunology, QEII Medical Centre, Nedlands, WA, Australia
| | - Rakesh Shakya
- PathWest Laboratory Medicine, Dept of Clinical Immunology, QEII Medical Centre, Nedlands, WA, Australia
| | - Christine Bundell
- PathWest Laboratory Medicine, Dept of Clinical Immunology, QEII Medical Centre, Nedlands, WA, Australia
| | - Ian James
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia; Murdoch University, Institute for Immunology and Infection Diseases, Murdoch, WA, Australia
| | - Abha Chopra
- Murdoch University, Institute for Immunology and Infection Diseases, Murdoch, WA, Australia
| | - Frank L Mastaglia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia; University of Western Australia, Centre for Neuromuscular & Neurological Disorders, Crawley, WA, Australia
| | - Merrilee Needham
- Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics, Murdoch, WA, Australia; Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia; University of Notre Dame Australia, School of Medicine, Fremantle, WA, Australia; Fiona Stanley Hospital, Department of Neurology, Murdoch, WA, Australia
| | - Jerome D Coudert
- Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics, Murdoch, WA, Australia; Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia; University of Notre Dame Australia, School of Medicine, Fremantle, WA, Australia.
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Abstract
The autoimmune inflammatory myopathies constitute a heterogeneous group of acquired myopathies that have in common the presence of endomysial inflammation and moderate to severe muscle weakness. Based on currently evolved distinct clinical, histologic, immunopathologic, and autoantibody features, these disorders can be best classified as dermatomyositis, necrotizing autoimmune myositis, antisynthetase syndrome-overlap myositis, and inclusion body myositis. Although polymyositis is no longer considered a distinct subset but rather an extinct entity, it is herein described because its clinicopathologic information has provided over many years fundamental information on T-cell-mediated myocytotoxicity, especially in reference to inclusion body myositis. Each inflammatory myopathy subset has distinct immunopathogenesis, prognosis, and response to immunotherapies, necessitating the need to correctly diagnose each subtype from the outset and avoid disease mimics. The paper describes the main clinical characteristics that aid in the diagnosis of each myositis subtype, highlights the distinct features on muscle morphology and immunopathology, elaborates on the potential role of autoantibodies in pathogenesis or diagnosis , and clarifies common uncertainties in reference to putative triggering factors such as statins and viruses including the 2019-coronavirus-2 pandemic. It extensively describes the main autoimmune markers related to autoinvasive myocytotoxic T-cells, activated B-cells, complement, cytokines, and the possible role of innate immunity. The concomitant myodegenerative features seen in inclusion body myositis along with their interrelationship between inflammation and degeneration are specifically emphasized. Finally, practical guidelines on the best therapeutic approaches are summarized based on up-to-date knowledge and controlled studies, highlighting the prospects of future immunotherapies and ongoing controversies.
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Affiliation(s)
- Marinos C Dalakas
- Department of Neurology, Thomas Jefferson University, Philadelphia, PA, United States; Neuroimmunology Unit National and Kapodistrian University of Athens Medical School, Athens, Greece.
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Wu Y, Zhao Z, Zhang J, Wang Y, Song X. Identification of Hub Genes and Biological Pathways in Inclusion Body Myositis Using Bioinformatics Analysis. Int J Gen Med 2022; 15:1281-1293. [PMID: 35173467 PMCID: PMC8841524 DOI: 10.2147/ijgm.s346965] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/12/2022] [Indexed: 12/04/2022] Open
Abstract
Background Inclusion body myositis (IBM) is a unique idiopathic inflammatory myopathy with unclear pathogenesis and poor prognosis. Although previous publications have identified some molecular biomarkers, the value of these biomarkers is unknown. Objective To identify hub genes and signaling pathways related to IBM for understanding the IBM-related mechanisms and providing guidance for therapy development. Methods Two microarray datasets (GSE3112 and GSE128470) were downloaded from the Gene Expression Omnibus (GEO) database. GEO2R was used to detect differentially expressed genes (DEGs) between IBM and normal muscle tissues. The hub genes were determined using protein–protein interaction (PPI) network in Cytoscape. The specific signaling pathways and biological functions of IBM were identified using GO, KEGG, and GSEA enrichment analyses. Moreover, CIBERSORT was applied to estimate the expression level of 22 immune cell types in IBM and normal muscle tissue. The relationship between the immune cell types and hub genes was then explored. Results A total of 219 DEGs and 10 hub genes were identified. Enrichment analyses revealed that the chemokine signaling pathway, cellular response to interferon-gamma, and P53 pathway have crucial roles in IBM. Immune infiltration analyses showed that IBM was associated with high level of CD8 T cells, Tregs, and macrophages. Finally, five potential drugs were predicted for IBM patients through CMap (connectivity map) database. Conclusion In this study, the underlying molecular mechanisms and immunological landscape of IBM were investigated, and thus may provide new directions for future research on IBM pathogenesis.
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Affiliation(s)
- Yue Wu
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Neurological Laboratory of Hebei Province, Shijiazhuang, Hebei, People’s Republic of China
| | - Zijun Zhao
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Heibei, 050000, People’s Republic of China
| | - Jinru Zhang
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Neurological Laboratory of Hebei Province, Shijiazhuang, Hebei, People’s Republic of China
| | - Yaye Wang
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Neurological Laboratory of Hebei Province, Shijiazhuang, Hebei, People’s Republic of China
| | - Xueqin Song
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, People’s Republic of China
- Neurological Laboratory of Hebei Province, Shijiazhuang, Hebei, People’s Republic of China
- Correspondence: Xueqin Song, Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, 050000, People’s Republic of China, Tel/Fax +86-318-2187209, Email
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Zhang J, Khasanova E, Zhang L. Bioinformatics analysis of gene expression profiles of Inclusion body myositis. Scand J Immunol 2020; 91:e12887. [PMID: 32259312 DOI: 10.1111/sji.12887] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 03/15/2020] [Accepted: 03/30/2020] [Indexed: 11/27/2022]
Abstract
Inclusion body myositis (IBM) is a disease with a poor prognosis and limited treatment options. This study aimed at exploring gene expression profile alterations, investigating the underlying mechanisms and identifying novel targets for IBM. We analysed two microarray datasets (GSE39454 and GSE128470) derived from the Gene Expression Omnibus (GEO) database. The GEO2R tool was used to screen out differentially expressed genes (DEGs) between IBM and normal samples. Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed using the Database for Annotation, Visualization and Integrated Discovery to identify the pathways and functional annotation of DEGs. Finally, protein-protein interaction (PPI) networks were constructed using STRING and Cytoscape, in order to identify hub genes. A total of 144 upregulated DEGs and one downregulated DEG were identified. The GO enrichment analysis revealed that the immune response was the most significantly enriched term within the DEGs. The KEGG pathway analysis identified 22 significant pathways, the majority of which could be divided into the immune and infectious diseases. Following the construction of PPI networks, ten hub genes with high degrees of connectivity were picked out, namely PTPRC, IRF8, CCR5, VCAM1, HLA-DRA, TYROBP, C1QB, HLA-DRB1, CD74 and CXCL9. Our research hypothesizes that autoimmunity plays an irreplaceable role in the pathogenesis of IBM. The novel DEGs and pathways identified in this study may provide new insight into the underlying mechanisms of IBM at the molecular level.
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Affiliation(s)
- Jiuchang Zhang
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Elona Khasanova
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Liming Zhang
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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Needham M, Mastaglia F. Advances in inclusion body myositis: genetics, pathogenesis and clinical aspects. Expert Opin Orphan Drugs 2017. [DOI: 10.1080/21678707.2017.1318056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Miller FW, Chen W, O’Hanlon TP, Cooper RG, Vencovsky J, Rider LG, Danko K, Wedderburn LR, Lundberg IE, Pachman LM, Reed AM, Ytterberg SR, Padyukov L, Selva-O’Callaghan A, Radstake TR, Isenberg DA, Chinoy H, Ollier WE, Scheet P, Peng B, Lee A, Byun J, Lamb JA, Gregersen PK, Amos CI. Genome-wide association study identifies HLA 8.1 ancestral haplotype alleles as major genetic risk factors for myositis phenotypes. Genes Immun 2015; 16:470-80. [PMID: 26291516 PMCID: PMC4840953 DOI: 10.1038/gene.2015.28] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2015] [Revised: 06/15/2015] [Accepted: 06/18/2015] [Indexed: 02/06/2023]
Abstract
Autoimmune muscle diseases (myositis) comprise a group of complex phenotypes influenced by genetic and environmental factors. To identify genetic risk factors in patients of European ancestry, we conducted a genome-wide association study (GWAS) of the major myositis phenotypes in a total of 1710 cases, which included 705 adult dermatomyositis, 473 juvenile dermatomyositis, 532 polymyositis and 202 adult dermatomyositis, juvenile dermatomyositis or polymyositis patients with anti-histidyl-tRNA synthetase (anti-Jo-1) autoantibodies, and compared them with 4724 controls. Single-nucleotide polymorphisms showing strong associations (P<5×10(-8)) in GWAS were identified in the major histocompatibility complex (MHC) region for all myositis phenotypes together, as well as for the four clinical and autoantibody phenotypes studied separately. Imputation and regression analyses found that alleles comprising the human leukocyte antigen (HLA) 8.1 ancestral haplotype (AH8.1) defined essentially all the genetic risk in the phenotypes studied. Although the HLA DRB1*03:01 allele showed slightly stronger associations with adult and juvenile dermatomyositis, and HLA B*08:01 with polymyositis and anti-Jo-1 autoantibody-positive myositis, multiple alleles of AH8.1 were required for the full risk effects. Our findings establish that alleles of the AH8.1 comprise the primary genetic risk factors associated with the major myositis phenotypes in geographically diverse Caucasian populations.
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Affiliation(s)
- Frederick W. Miller
- National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland 20892
| | - Wei Chen
- M.D. Anderson Cancer Center, Houston, Texas 77030
| | - Terrance P. O’Hanlon
- National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland 20892
| | - Robert G. Cooper
- MRC/ARUK Institute for Ageing and Chronic Disease, University of Liverpool, United Kingdom, L69 3GA
| | - Jiri Vencovsky
- Institute of Rheumatology, Charles University, Prague, Czech Republic; Na Slupi, 12850 Prague
| | - Lisa G. Rider
- National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland 20892
| | - Katalin Danko
- 3 Department of Internal Medicine, Division of Immunology University of Debrecen, Debrecen, Hungary H-4032
| | - Lucy R. Wedderburn
- Institute of Child Health, University College London, London, United Kingdom, WC1N 1EH
| | - Ingrid E. Lundberg
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Solna, Karolinska Institutet, Stockholm, Sweden SE-171 77
| | - Lauren M. Pachman
- Department of Pediatric Rheumatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611
| | | | | | - Leonid Padyukov
- Rheumatology Unit, Department of Medicine, Karolinska University Hospital, Solna, Karolinska Institutet, Stockholm, Sweden SE-171 77
| | | | - Timothy R. Radstake
- Department of Rheumatology and Clinical Immunology, Laboratory for Translational Immunology, Utrecht University Medical Center; and Nijmegen Center for Molecular Life Sciences, Nijmegen, The Netherlands 6500.HB
| | - David A. Isenberg
- Division of Medicine, University College London, London, United Kingdom WC1E63T
| | - Hector Chinoy
- The National Institute for Health Research Manchester Musculoskeletal Biomedical Research Unit, Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom M139PT
| | - William E.R. Ollier
- Centre for Integrated Genomic Medical Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom M13 9PT
| | - Paul Scheet
- M.D. Anderson Cancer Center, Houston, Texas 77030
| | - Bo Peng
- M.D. Anderson Cancer Center, Houston, Texas 77030
| | - Annette Lee
- Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institute for Medical Research, Manhasset, New York 11030
| | - Jinyoung Byun
- Department of Community and Family Medicine, Dartmouth College, Hanover, New Hampshire 03755
| | - Janine A. Lamb
- Centre for Integrated Genomic Medical Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom M13 9PT
| | - Peter K. Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institute for Medical Research, Manhasset, New York 11030
| | - Christopher I. Amos
- Department of Community and Family Medicine, Dartmouth College, Hanover, New Hampshire 03755
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Abstract
Sporadic inclusion body myositis is the most common inflammatory muscle disorder preferentially affecting males over the age of 40 years. Progressive muscle weakness of the finger flexors and quadriceps muscles results in loss of independence with activities of daily living and eventual wheelchair dependence. Initial signs of disease are often overlooked and can lead to mis- or delayed diagnosis. The underlying cause of disease is unknown, and disease progression appears refractory to available treatment options. This review discusses the clinical presentation of inclusion body myositis and the current efforts in diagnosis, and focuses on the current state of research for both nonpharmacological and pharmacological treatment options for this patient group.
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Affiliation(s)
- Lindsay N Alfano
- Nationwide Children's Hospital, Center for Gene Therapy, Columbus, OH, USA
| | - Linda P Lowes
- Nationwide Children's Hospital, Center for Gene Therapy, Columbus, OH, USA
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Machado PM, Ahmed M, Brady S, Gang Q, Healy E, Morrow JM, Wallace AC, Dewar L, Ramdharry G, Parton M, Holton JL, Houlden H, Greensmith L, Hanna MG. Ongoing developments in sporadic inclusion body myositis. Curr Rheumatol Rep 2014; 16:477. [PMID: 25399751 PMCID: PMC4233319 DOI: 10.1007/s11926-014-0477-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Sporadic inclusion body myositis (IBM) is an acquired muscle disorder associated with ageing, for which there is no effective treatment. Ongoing developments include: genetic studies that may provide insights regarding the pathogenesis of IBM, improved histopathological markers, the description of a new IBM autoantibody, scrutiny of the diagnostic utility of clinical features and biomarkers, the refinement of diagnostic criteria, the emerging use of MRI as a diagnostic and monitoring tool, and new pathogenic insights that have led to novel therapeutic approaches being trialled for IBM, including treatments with the objective of restoring protein homeostasis and myostatin blockers. The effect of exercise in IBM continues to be investigated. However, despite these ongoing developments, the aetiopathogenesis of IBM remains uncertain. A translational and multidisciplinary collaborative approach is critical to improve the diagnosis, treatment, and care of patients with IBM.
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Affiliation(s)
- Pedro M. Machado
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Mhoriam Ahmed
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
- Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, Queen Square, London, WC1N 3BG UK
| | - Stefen Brady
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Qiang Gang
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Estelle Healy
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Jasper M. Morrow
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Amanda C. Wallace
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Liz Dewar
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Gita Ramdharry
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Matthew Parton
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Janice L. Holton
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Henry Houlden
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
| | - Linda Greensmith
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
- Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, Queen Square, London, WC1N 3BG UK
| | - Michael G. Hanna
- MRC Centre for Neuromuscular Diseases, Institute of Neurology, University College London, Box 102, 8-11 Queen Square, London, WC1N 3BG UK
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Gang Q, Bettencourt C, Machado P, Hanna MG, Houlden H. Sporadic inclusion body myositis: the genetic contributions to the pathogenesis. Orphanet J Rare Dis 2014; 9:88. [PMID: 24948216 PMCID: PMC4071018 DOI: 10.1186/1750-1172-9-88] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Accepted: 06/12/2014] [Indexed: 11/10/2022] Open
Abstract
Sporadic inclusion body myositis (sIBM) is the commonest idiopathic inflammatory muscle disease in people over 50 years old. It is characterized by slowly progressive muscle weakness and atrophy, with typical pathological changes of inflammation, degeneration and mitochondrial abnormality in affected muscle fibres. The cause(s) of sIBM are still unknown, but are considered complex, with the contribution of multiple factors such as environmental triggers, ageing and genetic susceptibility. This review summarizes the current understanding of the genetic contributions to sIBM and provides some insights for future research in this mysterious disease with the advantage of the rapid development of advanced genetic technology. An international sIBM genetic study is ongoing and whole-exome sequencing will be applied in a large cohort of sIBM patients with the aim of unravelling important genetic risk factors for sIBM.
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Affiliation(s)
- Qiang Gang
- Department of Molecular Neuroscience, Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK.
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11
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Abstract
PURPOSE OF REVIEW To review the progress that has been made in understanding the genetics of the idiopathic inflammatory myopathies (IIMs) in the past 2 years, with particular focus on polymyositis, dermatomyositis and inclusion body myositis. RECENT FINDINGS Candidate gene studies in the Japanese population have implicated signal transducer and activator of transcription 4 as a risk locus for IIM, and HLA-DRB1 as a risk locus for anti-melanoma differentiation-associated gene 5-positive dermatomyositis. Evidence for gene-environment interactions has been found between HLA-DRB1*03 and smoking as a risk factor for the development of anti-histidyl tRNA synthetase antibodies, and HLA-DRB1*11:01 and statins for the development of anti-hydroxymethyl glutaryl-coenzyme A reductase-positive statin-induced myopathy. The HLA-DRB1*03:01/*01:01 genotype confers the highest disease risk in inclusion body myositis. A recent genome-wide association study has been performed in dermatomyositis. The most significant signals were in the major histocompatibility complex region, with other loci suggesting evidence of genetic overlap with different autoimmune diseases. SUMMARY Recent association and gene-environment interaction studies have increased our knowledge of genetic risk factors for the IIMs. Ongoing international collaborations will facilitate larger and more meaningful genetic studies revealing much about the genetic architecture of these complex diseases.
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Rose MR. 188th ENMC International Workshop: Inclusion Body Myositis, 2-4 December 2011, Naarden, The Netherlands. Neuromuscul Disord 2013; 23:1044-55. [PMID: 24268584 DOI: 10.1016/j.nmd.2013.08.007] [Citation(s) in RCA: 263] [Impact Index Per Article: 21.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2013] [Revised: 08/13/2013] [Accepted: 08/19/2013] [Indexed: 11/29/2022]
Affiliation(s)
- M R Rose
- Dept of Neurology, Kings College Hospital, Denmark Hill, London SE5 9RS, United Kingdom.
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Aigner J, Villatoro S, Rabionet R, Roquer J, Jiménez-Conde J, Martí E, Estivill X. A common 56-kilobase deletion in a primate-specific segmental duplication creates a novel butyrophilin-like protein. BMC Genet 2013; 14:61. [PMID: 23829304 PMCID: PMC3729544 DOI: 10.1186/1471-2156-14-61] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Accepted: 05/21/2013] [Indexed: 12/22/2022] Open
Abstract
Background The Butyrophilin-like (BTNL) proteins are likely to play an important role in inflammation and immune response. Like the B7 protein family, many human and murine BTNL members have been shown to control T lymphocytes response, and polymorphisms in human BTNL2 have been linked to several inflammatory diseases, such as pulmonary sarcoidosis, inflammatory bowel disease and neonatal lupus. Results In this study we provide a comprehensive population, genomic and transcriptomic analysis of a 56-kb deletion copy number variant (CNV), located within two segmental duplications of two genes belonging to the BTNL family, namely BTNL8 and BTNL3. We confirm the presence of a novel BTNL8*3 fusion-protein product, and show an influence of the deletion variant on the expression level of several genes involved in immune function, including BTNL9, another member of the same family. Moreover, by genotyping HapMap and human diversity panel (HGDP) samples, we demonstrate a clear difference in the stratification of the BTNL8_BTNL3-del allele frequency between major continental human populations. Conclusion Despite tremendous progress in the field of structural variation, rather few CNVs have been functionally characterized so far. Here, we show clear functional consequences of a new deletion CNV (BTNL8_BTNL3-del) with potentially important implication in the human immune system and in inflammatory and proliferative disorders. In addition, the marked population differences found of BTNL8_BTNL3-del frequencies suggest that this deletion CNV might have evolved under positive selection due to environmental conditions in some populations, with potential phenotypic consequences.
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Affiliation(s)
- Johanna Aigner
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Barcelona 08003, Spain
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Longitudinal observational study of sporadic inclusion body myositis: implications for clinical trials. Neuromuscul Disord 2013; 23:404-12. [PMID: 23489664 DOI: 10.1016/j.nmd.2013.02.010] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2012] [Revised: 01/06/2013] [Accepted: 02/11/2013] [Indexed: 11/20/2022]
Abstract
Sporadic inclusion body myositis (IBM) is the most common acquired myopathy occurring in adults aged over 50 years. The aim of the study was to assess prospectively the clinical features and functional impact of sporadic inclusion body myositis (IBM). Clinical data, manual muscle testing (MMT), quantitative muscle testing (QMT) of quadriceps muscle and IBM functional rating scale (IBM-FRS) were collected according to a standardised protocol at baseline (n=51) and one-year follow-up (n=23). MMT, quadriceps QMT and IBM-FRS significantly declined after one year (by 5.2%, 27.9%, and 13.8%, respectively). QMT of the quadriceps muscle and IBM-FRS were the most sensitive measures of disease progression. After a median time of seven years of disease duration, 63% of patients had lost independent walking. Disease onset after 55 years of age, but not sex or treatment, is predictive of a shorter time to requirement of a walking stick. We detected no differences in disease presentation and progression between clinically and pathologically defined IBM patients. The study provides evidence that quadriceps QMT and IBM-FRS could prove helpful as outcome measures in future therapeutic trials in IBM.
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Rojana-udomsart A, Mitrpant C, James I, Witt C, Needham M, Day T, Kiers L, Corbett A, Martinez P, Wilton SD, Mastaglia FL. Analysis of HLA-DRB3 alleles and supertypical genotypes in the MHC Class II region in sporadic inclusion body myositis. J Neuroimmunol 2013; 254:174-7. [DOI: 10.1016/j.jneuroim.2012.09.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2012] [Revised: 08/04/2012] [Accepted: 09/03/2012] [Indexed: 12/01/2022]
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Rojana-udomsart A, Bundell C, James I, Castley A, Martinez P, Christiansen F, Hollingsworth P, Mastaglia F. Frequency of autoantibodies and correlation with HLA-DRB1 genotype in sporadic inclusion body myositis (s-IBM): A population control study. J Neuroimmunol 2012; 249:66-70. [DOI: 10.1016/j.jneuroim.2012.04.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2012] [Revised: 03/19/2012] [Accepted: 04/16/2012] [Indexed: 12/17/2022]
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Scott AP, Laing NG, Mastaglia F, Dalakas M, Needham M, Allcock RJN. Investigation of NOTCH4 coding region polymorphisms in sporadic inclusion body myositis. J Neuroimmunol 2012; 250:66-70. [PMID: 22732452 DOI: 10.1016/j.jneuroim.2012.04.021] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2012] [Revised: 04/27/2012] [Accepted: 04/29/2012] [Indexed: 01/26/2023]
Abstract
The NOTCH4 gene, located within the MHC region, is involved in cellular differentiation and has varying effects dependent on tissue type. Coding region polymorphisms haplotypic of the sIBM-associated 8.1 ancestral haplotype were identified in NOTCH4 and genotyped in two different Caucasian sIBM cohorts. In both cohorts the frequency of the minor allele of rs422951 and the 12-repeat variation for rs72555375 was increased and was higher than the frequency of the sIBM-associated allele HLA-DRB1*0301. These NOTCH4 polymorphisms can be considered to be markers for sIBM susceptibility, but require further investigation to determine whether they are directly involved in the disease pathogenesis.
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Affiliation(s)
- Adrian P Scott
- School of Pathology and Laboratory Medicine, M504, University of Western Australia, Stirling Highway, Nedlands 6009, Perth, Australia.
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