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Rajan-Babu IS, Dolzhenko E, Eberle MA, Friedman JM. Sequence composition changes in short tandem repeats: heterogeneity, detection, mechanisms and clinical implications. Nat Rev Genet 2024; 25:476-499. [PMID: 38467784 DOI: 10.1038/s41576-024-00696-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/13/2024]
Abstract
Short tandem repeats (STRs) are a class of repetitive elements, composed of tandem arrays of 1-6 base pair sequence motifs, that comprise a substantial fraction of the human genome. STR expansions can cause a wide range of neurological and neuromuscular conditions, known as repeat expansion disorders, whose age of onset, severity, penetrance and/or clinical phenotype are influenced by the length of the repeats and their sequence composition. The presence of non-canonical motifs, depending on the type, frequency and position within the repeat tract, can alter clinical outcomes by modifying somatic and intergenerational repeat stability, gene expression and mutant transcript-mediated and/or protein-mediated toxicities. Here, we review the diverse structural conformations of repeat expansions, technological advances for the characterization of changes in sequence composition, their clinical correlations and the impact on disease mechanisms.
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Affiliation(s)
- Indhu-Shree Rajan-Babu
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada.
| | | | | | - Jan M Friedman
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
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2
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Currò R, Dominik N, Facchini S, Vegezzi E, Sullivan R, Galassi Deforie V, Fernández-Eulate G, Traschütz A, Rossi S, Garibaldi M, Kwarciany M, Taroni F, Brusco A, Good JM, Cavalcanti F, Hammans S, Ravenscroft G, Roxburgh RH, Parolin Schnekenberg R, Rugginini B, Abati E, Manini A, Quartesan I, Ghia A, Lòpez de Munaìn A, Manganelli F, Kennerson M, Santorelli FM, Infante J, Marques W, Jokela M, Murphy SM, Mandich P, Fabrizi GM, Briani C, Gosal D, Pareyson D, Ferrari A, Prados F, Yousry T, Khurana V, Kuo SH, Miller J, Troakes C, Jaunmuktane Z, Giunti P, Hartmann A, Basak N, Synofzik M, Stojkovic T, Hadjivassiliou M, Reilly MM, Houlden H, Cortese A. Role of the repeat expansion size in predicting age of onset and severity in RFC1 disease. Brain 2024; 147:1887-1898. [PMID: 38193360 PMCID: PMC11068103 DOI: 10.1093/brain/awad436] [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: 10/06/2023] [Revised: 12/04/2023] [Accepted: 12/10/2023] [Indexed: 01/10/2024] Open
Abstract
RFC1 disease, caused by biallelic repeat expansion in RFC1, is clinically heterogeneous in terms of age of onset, disease progression and phenotype. We investigated the role of the repeat size in influencing clinical variables in RFC1 disease. We also assessed the presence and role of meiotic and somatic instability of the repeat. In this study, we identified 553 patients carrying biallelic RFC1 expansions and measured the repeat expansion size in 392 cases. Pearson's coefficient was calculated to assess the correlation between the repeat size and age at disease onset. A Cox model with robust cluster standard errors was adopted to describe the effect of repeat size on age at disease onset, on age at onset of each individual symptoms, and on disease progression. A quasi-Poisson regression model was used to analyse the relationship between phenotype and repeat size. We performed multivariate linear regression to assess the association of the repeat size with the degree of cerebellar atrophy. Meiotic stability was assessed by Southern blotting on first-degree relatives of 27 probands. Finally, somatic instability was investigated by optical genome mapping on cerebellar and frontal cortex and unaffected peripheral tissue from four post-mortem cases. A larger repeat size of both smaller and larger allele was associated with an earlier age at neurological onset [smaller allele hazard ratio (HR) = 2.06, P < 0.001; larger allele HR = 1.53, P < 0.001] and with a higher hazard of developing disabling symptoms, such as dysarthria or dysphagia (smaller allele HR = 3.40, P < 0.001; larger allele HR = 1.71, P = 0.002) or loss of independent walking (smaller allele HR = 2.78, P < 0.001; larger allele HR = 1.60; P < 0.001) earlier in disease course. Patients with more complex phenotypes carried larger expansions [smaller allele: complex neuropathy rate ratio (RR) = 1.30, P = 0.003; cerebellar ataxia, neuropathy and vestibular areflexia syndrome (CANVAS) RR = 1.34, P < 0.001; larger allele: complex neuropathy RR = 1.33, P = 0.008; CANVAS RR = 1.31, P = 0.009]. Furthermore, larger repeat expansions in the smaller allele were associated with more pronounced cerebellar vermis atrophy (lobules I-V β = -1.06, P < 0.001; lobules VI-VII β = -0.34, P = 0.005). The repeat did not show significant instability during vertical transmission and across different tissues and brain regions. RFC1 repeat size, particularly of the smaller allele, is one of the determinants of variability in RFC1 disease and represents a key prognostic factor to predict disease onset, phenotype and severity. Assessing the repeat size is warranted as part of the diagnostic test for RFC1 expansion.
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Affiliation(s)
- Riccardo Currò
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | - Natalia Dominik
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Stefano Facchini
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | | | - Roisin Sullivan
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | | | - Gorka Fernández-Eulate
- Nord/Est/Ile-de-France Neuromuscular Reference Center, Institute of Myology, Pitié-Salpêtrière Hospital, APHP, 75013 Paris, France
| | - Andreas Traschütz
- Research Division ‘Translational Genomics of Neurodegenerative Diseases’, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, 72076 Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, 72076 Tübingen, Germany
| | - Salvatore Rossi
- Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo, UOC Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
- Facoltà di Medicina e Chirurgia, Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Matteo Garibaldi
- Neuromuscular and Rare Disease Center, Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sant'Andrea Hospital, Sapienza University of Rome, 00189 Rome, Italy
| | - Mariusz Kwarciany
- Department of Adult Neurology, Medical University of Gdańsk, 80-952 Gdańsk, Poland
| | - Franco Taroni
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan 20133, Italy
| | - Alfredo Brusco
- Department of Medical Sciences, University of Torino, 10124 Turin, Italy
| | - Jean-Marc Good
- Division of Genetic Medicine, Lausanne University Hospital (CHUV), 1011 Lausanne, Switzerland
| | - Francesca Cavalcanti
- Institute for Biomedical Research and Innovation (IRIB), Italian National Research Council (CNR), 87050 Mangone, Italy
| | - Simon Hammans
- Wessex Neurological Centre, Southampton General Hospital, Southampton, SO16 6YD, UK
| | - Gianina Ravenscroft
- Neurogenetic Diseases Group, Centre for Medical Research, QEII Medical Centre, University of Western Australia, Nedland, WA 6009, Australia
| | - Richard H Roxburgh
- Neurology Department, Auckland City Hospital, New Zealand and the Centre for Brain Research, University of Auckland, Auckland 1142, New Zealand
| | | | - Bianca Rugginini
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | - Elena Abati
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Arianna Manini
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Ilaria Quartesan
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | - Arianna Ghia
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
| | - Adolfo Lòpez de Munaìn
- Neurology Department, Donostia University Hospital, University of the Basque Country-Osakidetza-CIBERNED-Biodonostia, 20014 Donostia-San Sebastián, Spain
| | - Fiore Manganelli
- Department of Neuroscience and Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80131 Naples, Italy
| | - Marina Kennerson
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia
| | - Filippo Maria Santorelli
- IRCCS Stella Maris Foundation, Molecular Medicine for Neurodegenerative and Neuromuscular Disease Unit, 56128 Pisa, Italy
| | - Jon Infante
- University Hospital Marquès de Valdecilla-IDIVAL, University of Cantabria, 39008 Santander, Spain
| | - Wilson Marques
- Department of Neurology, School of Medicine of Ribeirão Preto, University of São Paulo, 2650 Ribeirão Preto, Brazil
| | - Manu Jokela
- Neuromuscular Research Center, Department of Neurology, Tampere University and University Hospital, 33520 Tampere, Finland
- Neurocenter, Department of Neurology, Clinical Neurosciences, Turku University Hospital and University of Turku, 20014 Turku, Finland
| | - Sinéad M Murphy
- Department of Neurology, Tallaght University Hospital, D24 NR0A Dublin, Ireland
- Academic Unit of Neurology, Trinity College Dublin, D02 R590 Dublin, Ireland
| | - Paola Mandich
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, 16132 Genoa, Italy
- IRCCS Ospedale Policlinico San Martino-UOC Genetica Medica, 16132 Genova, Italy
| | - Gian Maria Fabrizi
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Chiara Briani
- Department of Neurosciences, ERN Neuromuscular Unit, University of Padova, 35100 Padova, Italy
| | - David Gosal
- Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Greater Manchester, M6 8HD, UK
| | - Davide Pareyson
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan 20133, Italy
| | | | - Ferran Prados
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, WC1V 6LJ, UK
- NMR Research Unit, Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK
- e-Health Centre, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
| | - Tarek Yousry
- Neuroradiological Academic Unit, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Vikram Khurana
- Division of Movement Disorders and Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Sheng-Han Kuo
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - James Miller
- Department of Neurology, Royal Victoria Hospitals, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, NE1 4LP, UK
| | - Claire Troakes
- London Neurodegenerative Diseases Brain Bank, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE21 8EA, UK
| | - Zane Jaunmuktane
- Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Paola Giunti
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Annette Hartmann
- Division of General Psychiatry, Medical University of Vienna, 1090 Vienna, Austria
| | - Nazli Basak
- Koç University, School of Medicine, Suna and İnan Kıraç Foundation, Neurodegeneration Research Laboratory (NDAL), Research Center for Translational Medicine, 34010 Istanbul, Turkey
| | - Matthis Synofzik
- Research Division ‘Translational Genomics of Neurodegenerative Diseases’, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, 72076 Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), University of Tübingen, 72076 Tübingen, Germany
| | - Tanya Stojkovic
- Nord/Est/Ile-de-France Neuromuscular Reference Center, Institute of Myology, Pitié-Salpêtrière Hospital, APHP, 75013 Paris, France
| | - Marios Hadjivassiliou
- Academic Department of Neurosciences, Sheffield Teaching Hospitals NHS Trust and University of Sheffield, Sheffield, S10 2JF, UK
| | - Mary M Reilly
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Henry Houlden
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
| | - Andrea Cortese
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
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3
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Shah VV, Muzyka D, Jagodinsky A, McNames J, Casey H, El-Gohary M, Sowalsky K, Safarpour D, Carlson-Kuhta P, Schmahmann JD, Rosenthal LS, Perlman S, Horak FB, Gomez CM. Digital Measures of Postural Sway Quantify Balance Deficits in Spinocerebellar Ataxia. Mov Disord 2024; 39:663-673. [PMID: 38357985 DOI: 10.1002/mds.29742] [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: 10/04/2023] [Revised: 12/21/2023] [Accepted: 01/23/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Maintaining balance is crucial for independence and quality of life. Loss of balance is a hallmark of spinocerebellar ataxia (SCA). OBJECTIVE The aim of this study was to identify which standing balance conditions and digital measures of body sway were most discriminative, reliable, and valid for quantifying balance in SCA. METHODS Fifty-three people with SCA (13 SCA1, 13 SCA2, 14 SCA3, and 13 SCA6) and Scale for Assessment and Rating of Ataxia (SARA) scores 9.28 ± 4.36 and 31 healthy controls were recruited. Subjects stood in six test conditions (natural stance, feet together and tandem, each with eyes open [EO] and eyes closed [EC]) with an inertial sensor on their lower back for 30 seconds (×2). We compared test completion rate, test-retest reliability, and areas under the receiver operating characteristic curve (AUC) for seven digital sway measures. Pearson's correlations related sway with the SARA and the Patient-Reported Outcome Measure of Ataxia (PROM ataxia). RESULTS Most individuals with SCA (85%-100%) could stand for 30 seconds with natural stance EO or EC, and with feet together EO. The most discriminative digital sway measures (path length, range, area, and root mean square) from the two most reliable and discriminative conditions (natural stance EC and feet together EO) showed intraclass correlation coefficients from 0.70 to 0.91 and AUCs from 0.83 to 0.93. Correlations of sway with SARA were significant (maximum r = 0.65 and 0.73). Correlations with PROM ataxia were mild to moderate (maximum r = 0.56 and 0.34). CONCLUSION Inertial sensor measures of extent of postural sway in conditions of natural stance EC and feet together stance EO were discriminative, reliable, and valid for monitoring SCA. © 2024 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Vrutangkumar V Shah
- Precision Motion, APDM Wearable Technologies-A Clario Company, Portland, Oregon, USA
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
| | - Daniel Muzyka
- Precision Motion, APDM Wearable Technologies-A Clario Company, Portland, Oregon, USA
| | - Adam Jagodinsky
- Precision Motion, APDM Wearable Technologies-A Clario Company, Portland, Oregon, USA
| | - James McNames
- Precision Motion, APDM Wearable Technologies-A Clario Company, Portland, Oregon, USA
- Department of Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA
| | - Hannah Casey
- Department of Neurology, The University of Chicago, Chicago, Illinois, USA
| | - Mahmoud El-Gohary
- Precision Motion, APDM Wearable Technologies-A Clario Company, Portland, Oregon, USA
| | - Kristen Sowalsky
- Precision Motion, APDM Wearable Technologies-A Clario Company, Portland, Oregon, USA
| | - Delaram Safarpour
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
| | | | - Jeremy D Schmahmann
- Ataxia Center, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Liana S Rosenthal
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Susan Perlman
- Department of Neurology, University of California, Los Angeles, California, USA
| | - Fay B Horak
- Precision Motion, APDM Wearable Technologies-A Clario Company, Portland, Oregon, USA
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
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4
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Audet S, Triassi V, Gelinas M, Legault-Cadieux N, Ferraro V, Duquette A, Tetreault M. Integration of multi-omics technologies for molecular diagnosis in ataxia patients. Front Genet 2024; 14:1304711. [PMID: 38239855 PMCID: PMC10794629 DOI: 10.3389/fgene.2023.1304711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/27/2023] [Indexed: 01/22/2024] Open
Abstract
Background: Episodic ataxias are rare neurological disorders characterized by recurring episodes of imbalance and coordination difficulties. Obtaining definitive molecular diagnoses poses challenges, as clinical presentation is highly heterogeneous, and literature on the underlying genetics is limited. While the advent of high-throughput sequencing technologies has significantly contributed to Mendelian disorders genetics, interpretation of variants of uncertain significance and other limitations inherent to individual methods still leaves many patients undiagnosed. This study aimed to investigate the utility of multi-omics for the identification and validation of molecular candidates in a cohort of complex cases of ataxia with episodic presentation. Methods: Eight patients lacking molecular diagnosis despite extensive clinical examination were recruited following standard genetic testing. Whole genome and RNA sequencing were performed on samples isolated from peripheral blood mononuclear cells. Integration of expression and splicing data facilitated genomic variants prioritization. Subsequently, long-read sequencing played a crucial role in the validation of those candidate variants. Results: Whole genome sequencing uncovered pathogenic variants in four genes (SPG7, ATXN2, ELOVL4, PMPCB). A missense and a nonsense variant, both previously reported as likely pathogenic, configured in trans in individual #1 (SPG7: c.2228T>C/p.I743T, c.1861C>T/p.Q621*). An ATXN2 microsatellite expansion (CAG32) in another late-onset case. In two separate individuals, intronic variants near splice sites (ELOVL4: c.541 + 5G>A; PMPCB: c.1154 + 5G>C) were predicted to induce loss-of-function splicing, but had never been reported as disease-causing. Long-read sequencing confirmed the compound heterozygous variants configuration, repeat expansion length, as well as splicing landscape for those pathogenic variants. A potential genetic modifier of the ATXN2 expansion was discovered in ZFYVE26 (c.3022C>T/p.R1008*). Conclusion: Despite failure to identify pathogenic variants through clinical genetic testing, the multi-omics approach enabled the molecular diagnosis in 50% of patients, also giving valuable insights for variant prioritization in remaining cases. The findings demonstrate the value of long-read sequencing for the validation of candidate variants in various scenarios. Our study demonstrates the effectiveness of leveraging complementary omics technologies to unravel the underlying genetics in patients with unresolved rare diseases such as ataxia. Molecular diagnoses not only hold significant promise in improving patient care management, but also alleviates the burden of diagnostic odysseys, more broadly enhancing quality of life.
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Affiliation(s)
- Sebastien Audet
- University of Montreal Hospital Research Center (CRCHUM), Montreal, QC, Canada
- Department of Neurosciences, University of Montreal, Montreal, QC, Canada
| | - Valerie Triassi
- University of Montreal Hospital Research Center (CRCHUM), Montreal, QC, Canada
| | - Myriam Gelinas
- Department of Medicine, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada
| | - Nab Legault-Cadieux
- University of Montreal Hospital Research Center (CRCHUM), Montreal, QC, Canada
- Department of Neurosciences, University of Montreal, Montreal, QC, Canada
| | - Vincent Ferraro
- Department of Medicine, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada
| | - Antoine Duquette
- University of Montreal Hospital Research Center (CRCHUM), Montreal, QC, Canada
- Department of Neurosciences, University of Montreal, Montreal, QC, Canada
- Neurology Service, Department of Medicine, André-Barbeau Movement Disorders Unit, University of Montreal Hospital (CHUM), Montreal, QC, Canada
- Genetic Service, Department of Medicine, University of Montreal Hospital (CHUM), Montreal, QC, Canada
| | - Martine Tetreault
- University of Montreal Hospital Research Center (CRCHUM), Montreal, QC, Canada
- Department of Neurosciences, University of Montreal, Montreal, QC, Canada
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5
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Selvadurai LP, Perlman SL, Wilmot GR, Subramony SH, Gomez CM, Ashizawa T, Paulson HL, Onyike CU, Rosenthal LS, Sair HI, Kuo SH, Ratai EM, Zesiewicz TA, Bushara KO, Öz G, Dietiker C, Geschwind MD, Nelson AB, Opal P, Yacoubian TA, Nopoulos PC, Shakkottai VG, Figueroa KP, Pulst SM, Morrison PE, Schmahmann JD. The S-Factor, a New Measure of Disease Severity in Spinocerebellar Ataxia: Findings and Implications. CEREBELLUM (LONDON, ENGLAND) 2023; 22:790-809. [PMID: 35962273 PMCID: PMC10363993 DOI: 10.1007/s12311-022-01424-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/25/2022] [Indexed: 06/15/2023]
Abstract
Spinocerebellar ataxias (SCAs) are progressive neurodegenerative disorders, but there is no metric that predicts disease severity over time. We hypothesized that by developing a new metric, the Severity Factor (S-Factor) using immutable disease parameters, it would be possible to capture disease severity independent of clinical rating scales. Extracting data from the CRC-SCA and READISCA natural history studies, we calculated the S-Factor for 438 participants with symptomatic SCA1, SCA2, SCA3, or SCA6, as follows: ((length of CAG repeat expansion - maximum normal repeat length) /maximum normal repeat length) × (current age - age at disease onset) × 10). Within each SCA type, the S-Factor at the first Scale for the Assessment and Rating of Ataxia (SARA) visit (baseline) was correlated against scores on SARA and other motor and cognitive assessments. In 281 participants with longitudinal data, the slope of the S-Factor over time was correlated against slopes of scores on SARA and other motor rating scales. At baseline, the S-Factor showed moderate-to-strong correlations with SARA and other motor rating scales at the group level, but not with cognitive performance. Longitudinally the S-Factor slope showed no consistent association with the slope of performance on motor scales. Approximately 30% of SARA slopes reflected a trend of non-progression in motor symptoms. The S-Factor is an observer-independent metric of disease burden in SCAs. It may be useful at the group level to compare cohorts at baseline in clinical studies. Derivation and examination of the S-factor highlighted challenges in the use of clinical rating scales in this population.
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Affiliation(s)
- Louisa P Selvadurai
- Ataxia Center, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Susan L Perlman
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - George R Wilmot
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Sub H Subramony
- Department of Neurology, University of Florida College of Medicine, McKnight Brain Institute, Gainesville, FL, USA
| | | | - Tetsuo Ashizawa
- Department of Neurology, Houston Methodist Research Institute, Houston, TX, USA
| | - Henry L Paulson
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Chiadi U Onyike
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Liana S Rosenthal
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Haris I Sair
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sheng-Han Kuo
- Department of Neurology, Columbia University, New York, NY, USA
| | - Eva-Maria Ratai
- Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Theresa A Zesiewicz
- Department of Neurology, Ataxia Research Center, University of South Florida, Tampa, FL, USA
| | - Khalaf O Bushara
- Department of Neurology, University of Minnesota, Minneapolis, MN, USA
| | - Gülin Öz
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, USA
| | - Cameron Dietiker
- Department of Neurology, University of California, San Francisco, CA, USA
| | | | - Alexandra B Nelson
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Puneet Opal
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Talene A Yacoubian
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Peggy C Nopoulos
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Vikram G Shakkottai
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Karla P Figueroa
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Stefan M Pulst
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Peter E Morrison
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Jeremy D Schmahmann
- Ataxia Center, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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6
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McGurk L, Rifai OM, Shcherbakova O, Perlegos AE, Byrns CN, Carranza FR, Zhou HW, Kim HJ, Zhu Y, Bonini NM. Toxicity of pathogenic ataxin-2 in Drosophila shows dependence on a pure CAG repeat sequence. Hum Mol Genet 2021; 30:1797-1810. [PMID: 34077532 PMCID: PMC8444453 DOI: 10.1093/hmg/ddab148] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/12/2021] [Accepted: 05/24/2021] [Indexed: 12/31/2022] Open
Abstract
Spinocerebellar ataxia type 2 is a polyglutamine (polyQ) disease associated with an expanded polyQ domain within the protein product of the ATXN2 gene. Interestingly, polyQ repeat expansions in ATXN2 are also associated with amyotrophic lateral sclerosis (ALS) and parkinsonism depending upon the length of the polyQ repeat expansion. The sequence encoding the polyQ repeat also varies with disease presentation: a pure CAG repeat is associated with SCA2, whereas the CAG repeat in ALS and parkinsonism is typically interrupted with the glutamine encoding CAA codon. Here, we asked if the purity of the CAG sequence encoding the polyQ repeat in ATXN2 could impact the toxicity of the ataxin-2 protein in vivo in Drosophila. We found that ataxin-2 encoded by a pure CAG repeat conferred toxicity in the retina and nervous system, whereas ataxin-2 encoded by a CAA-interrupted repeat or CAA-only repeat failed to confer toxicity, despite expression of the protein at similar levels. Furthermore, the CAG-encoded ataxin-2 protein aggregated in the fly eye, while ataxin-2 encoded by either a CAA/G or CAA repeat remained diffuse. The toxicity of the CAG-encoded ataxin-2 protein was also sensitive to the translation factor eIF4H, a known modifier of the toxic GGGGCC repeat in flies. These data indicate that ataxin-2 encoded by a pure CAG versus interrupted CAA/G polyQ repeat domain is associated with differential toxicity, indicating that mechanisms associated with the purity of the sequence of the polyQ domain contribute to disease.
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Affiliation(s)
- Leeanne McGurk
- Division of Cell & Developmental Biology, School of Life Sciences, University of Dundee, Dundee, UK
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Olivia M Rifai
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - China N Byrns
- Neurosciences Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
- Medical Sciences Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Faith R Carranza
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Henry W Zhou
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Hyung-Jun Kim
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Yongqing Zhu
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Nancy M Bonini
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
- Neurosciences Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
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7
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Shah VV, Rodriguez-Labrada R, Horak FB, McNames J, Casey H, Hansson Floyd K, El-Gohary M, Schmahmann JD, Rosenthal LS, Perlman S, Velázquez-Pérez L, Gomez CM. Gait Variability in Spinocerebellar Ataxia Assessed Using Wearable Inertial Sensors. Mov Disord 2021; 36:2922-2931. [PMID: 34424581 DOI: 10.1002/mds.28740] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/13/2021] [Accepted: 07/14/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Quantitative assessment of severity of ataxia-specific gait impairments from wearable technology could provide sensitive performance outcome measures with high face validity to power clinical trials. OBJECTIVES The aim of this study was to identify a set of gait measures from body-worn inertial sensors that best discriminate between people with prodromal or manifest spinocerebellar ataxia (SCA) and age-matched, healthy control subjects (HC) and determine how these measures relate to disease severity. METHODS One hundred and sixty-three people with SCA (subtypes 1, 2, 3, and 6), 42 people with prodromal SCA, and 96 HC wore 6 inertial sensors while performing a natural pace, 2-minute walk. Areas under the receiver operating characteristic curves (AUC) were compared for 25 gait measures, including standard deviations as variability, to discriminate between ataxic and normal gait. Pearson's correlation coefficient assessed the relationships between the gait measures and severity of ataxia. RESULTS Increased gait variability was the most discriminative gait feature of SCA; toe-out angle variability (AUC = 0.936; sensitivity = 0.871; specificity = 0.896) and double-support time variability (AUC = 0.932; sensitivity = 0.834; specificity = 0.865) were the most sensitive and specific measures. These variability measures were also significantly correlated with the scale for the assessment and rating of ataxia (SARA) and disease duration. The same gait measures discriminated gait of people with prodromal SCA from the gait of HC (AUC = 0.610, and 0.670, respectively). CONCLUSIONS Wearable inertial sensors provide sensitive and specific measures of excessive gait variability in both manifest and prodromal SCAs that are reliable and related to the severity of the disease, suggesting they may be useful as clinical trial performance outcome measures. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Vrutangkumar V Shah
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
| | - Roberto Rodriguez-Labrada
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Holguín, Cuba.,Cuban Center for Neuroscience, Havana, Cuba
| | - Fay B Horak
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.,APDM Wearable Technologies, an ERT company, Portland, Oregon, USA
| | - James McNames
- APDM Wearable Technologies, an ERT company, Portland, Oregon, USA.,Department of Electrical and Computer Engineering, Portland State University, Portland, Oregon, USA
| | - Hannah Casey
- The University of Chicago, Chicago, Illinois, USA
| | | | | | - Jeremy D Schmahmann
- Department of Neurology, Ataxia Center, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Liana S Rosenthal
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Susan Perlman
- Department of Neurology, University of California, Los Angeles, California, USA
| | - Luis Velázquez-Pérez
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Holguín, Cuba.,Cuban Academy of Sciences, La Habana, Cuba
| | - Christopher M Gomez
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.,The University of Chicago, Chicago, Illinois, USA
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8
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Sena LS, Dos Santos Pinheiro J, Hasan A, Saraiva-Pereira ML, Jardim LB. Spinocerebellar ataxia type 2 from an evolutionary perspective: Systematic review and meta-analysis. Clin Genet 2021; 100:258-267. [PMID: 33960424 DOI: 10.1111/cge.13978] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/19/2021] [Accepted: 05/05/2021] [Indexed: 01/27/2023]
Abstract
Dominant diseases due to expanded CAG repeat tracts, such as spinocerebellar ataxia type 2 (SCA2), are prone to anticipation and worsening of clinical picture in subsequent generations. There is insufficient data about selective forces acting on the maintenance of these diseases in populations. We made a systematic review and meta-analysis on the effect of the CAG length over age at onset, instability of transmissions, anticipation, de novo or sporadic cases, fitness, segregation of alleles, and ancestral haplotypes. The correlation between CAG expanded and age at onset was r2 = 0.577, and transmission of the mutant allele was associated with an increase of 2.42 CAG repeats in the next generation and an anticipation of 14.62 years per generation, on average. One de novo and 18 sporadic cases were detected. Affected SCA2 individuals seem to have more children than controls. The expanded allele was less segregated than the 22-repeat allele in children of SCA2 subjects. Several ancestral SCA2 haplotypes were published. Data suggest that SCA2 lineages may tend to disappear eventually, due to strong anticipation phenomena. Whether or not the novel cases come from common haplotypes associated with a predisposition to further expansions is a question that needs to be addressed by future studies.
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Affiliation(s)
- Lucas Schenatto Sena
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Jordânia Dos Santos Pinheiro
- Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Faculdade de Farmácia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ali Hasan
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Maria Luiza Saraiva-Pereira
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Departamento de Bioquímica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Instituto de Genética Médica Populacional, Porto Alegre, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Laura Bannach Jardim
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Centros de Pesquisa Clínica e Experimental, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Instituto de Genética Médica Populacional, Porto Alegre, Brazil.,Serviço de Genética Médica, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Departamento de Medicina Interna, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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9
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Estiar MA, Yu E, Haj Salem I, Ross JP, Mufti K, Akçimen F, Leveille E, Spiegelman D, Ruskey JA, Asayesh F, Dagher A, Yoon G, Tarnopolsky M, Boycott KM, Dupre N, Dion PA, Suchowersky O, Trempe JF, Rouleau GA, Gan-Or Z. Evidence for Non-Mendelian Inheritance in Spastic Paraplegia 7. Mov Disord 2021; 36:1664-1675. [PMID: 33598982 DOI: 10.1002/mds.28528] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Although the typical inheritance of spastic paraplegia 7 is recessive, several reports have suggested that SPG7 variants may also cause autosomal dominant hereditary spastic paraplegia (HSP). OBJECTIVES We aimed to conduct an exome-wide genetic analysis on a large Canadian cohort of HSP patients and controls to examine the association of SPG7 and HSP. METHODS We analyzed 585 HSP patients from 372 families and 1175 controls, including 580 unrelated individuals. Whole-exome sequencing was performed on 400 HSP patients (291 index cases) and all 1175 controls. RESULTS The frequency of heterozygous pathogenic/likely pathogenic SPG7 variants (4.8%) among unrelated HSP patients was higher than among unrelated controls (1.7%; OR 2.88, 95% CI 1.24-6.66, P = 0.009). The heterozygous SPG7 p.(Ala510Val) variant was found in 3.7% of index patients versus 0.85% in unrelated controls (OR 4.42, 95% CI 1.49-13.07, P = 0.005). Similar results were obtained after including only genetically-undiagnosed patients. We identified four heterozygous SPG7 variant carriers with an additional pathogenic variant in known HSP genes, compared to zero in controls (OR 19.58, 95% CI 1.05-365.13, P = 0.0031), indicating potential digenic inheritance. We further identified four families with heterozygous variants in SPG7 and SPG7-interacting genes (CACNA1A, AFG3L2, and MORC2). Of these, there is especially compelling evidence for epistasis between SPG7 and AFG3L2. The p.(Ile705Thr) variant in AFG3L2 is located at the interface between hexamer subunits, in a hotspot of mutations associated with spinocerebellar ataxia type 28 that affect its proteolytic function. CONCLUSIONS Our results provide evidence for complex inheritance in SPG7-associated HSP, which may include recessive and possibly dominant and digenic/epistasis forms of inheritance. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Mehrdad A Estiar
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Eric Yu
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | | | - Jay P Ross
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Kheireddin Mufti
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Fulya Akçimen
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Etienne Leveille
- Faculty of Medicine, McGill University, Montréal, Québec, Canada
| | - Dan Spiegelman
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Jennifer A Ruskey
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Farnaz Asayesh
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Alain Dagher
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada
| | - Grace Yoon
- Divisions of Neurology and Clinical and Metabolic Genetics, Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Mark Tarnopolsky
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Nicolas Dupre
- Neuroscience Axis, CHU de Québec, Université Laval, Québec City, Québec, Canada.,Department of Medicine, Faculty of Medicine, Université Laval, Québec City, Québec, Canada
| | - Patrick A Dion
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada
| | - Oksana Suchowersky
- Departments of Medicine (Neurology) and Medical Genetics, University of Alberta, Edmonton, Alberta, Canada
| | - Jean-Francois Trempe
- Department of Pharmacology & Therapeutics, McGill University, Montréal, Québec, Canada.,Centre de Recherche en Biologie Structurale, McGill University, Montréal, Québec, Canada
| | - Guy A Rouleau
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada
| | - Ziv Gan-Or
- Department of Human Genetics, McGill University, Montréal, Québec, Canada.,The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montréal, Québec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada
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10
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Ghahremani Nezhad H, Franklin JP, Alix JJP, Moll T, Pattrick M, Cooper-Knock J, Shanmugarajah P, Beauchamp NJ, Hadjivissiliou M, Paling D, Mcdermott C, Shaw PJ, Jenkins TM. Simultaneous ALS and SCA2 associated with an intermediate-length ATXN2 CAG-repeat expansion. Amyotroph Lateral Scler Frontotemporal Degener 2020; 22:579-582. [PMID: 33284045 DOI: 10.1080/21678421.2020.1853172] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Spinocerebellar ataxia type 2 (SCA2) and amyotrophic lateral sclerosis (ALS) share a common molecular basis: both are associated with CAG-repeat expansion of ATXN2 and TDP-43-positive neuronal cytoplasmic inclusions. To date, the two disorders are viewed as clinically distinct with ALS resulting from 30-33 CAG-repeats and SCA2 from >34 CAG-repeats. We describe a 67-year old with a 32 CAG-repeat expansion of ATXN2 who presented with simultaneous symptoms of ALS and SCA2. Our case demonstrates that the clinical dichotomy between SCA2 and ATXN2-ALS is false. We suggest instead that CAG-repeat expansion length determines the timing of SCA2 clinical symptoms relative to onset of ALS; consistent with this age of onset of SCA2 but not ATXN2-ALS, is dependent upon expansion length. Review of the literature and our local cohort provides evidence for occurrence of ALS in late stage SCA2, which may be under-recognised by clinicians who think of the two diseases as distinct.
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Affiliation(s)
| | - John P Franklin
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Tobias Moll
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Michael Pattrick
- Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
| | - Priya Shanmugarajah
- Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | | | - Marios Hadjivissiliou
- Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - David Paling
- Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Christopher Mcdermott
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Thomas M Jenkins
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK.,Department of Clinical Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
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11
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Wright GEB, Black HF, Collins JA, Gall-Duncan T, Caron NS, Pearson CE, Hayden MR. Interrupting sequence variants and age of onset in Huntington's disease: clinical implications and emerging therapies. Lancet Neurol 2020; 19:930-939. [PMID: 33098802 DOI: 10.1016/s1474-4422(20)30343-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 08/23/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Huntington's disease is a fatal neurodegenerative disorder that is caused by CAG-CAA repeat expansion, encoding polyglutamine, in the huntingtin (HTT) gene. Current age-of-clinical-onset prediction models for Huntington's disease are based on polyglutamine length and explain only a proportion of the variability in age of onset observed between patients. These length-based assays do not interrogate the underlying genetic variation, because known genetic variants in this region do not alter the protein coding sequence. Given that individuals with identical repeat lengths can present with Huntington's disease decades apart, the search for genetic modifiers of clinical age of onset has become an active area of research. RECENT DEVELOPMENTS Results from three independent genetic studies of Huntington's disease have shown that glutamine-encoding CAA variants that interrupt DNA CAG repeat tracts, but do not alter polyglutamine length or polyglutamine homogeneity, are associated with substantial differences in age of onset of Huntington's disease in carriers. A variant that results in the loss of CAA interruption is associated with early onset and is particularly relevant to individuals that carry alleles in the reduced penetrance range (ie, CAG 36-39). Approximately a third of clinically manifesting carriers of reduced penetrance alleles, defined by current diagnostics, carry this variant. Somatic repeat instability, modified by interrupted CAG tracts, is the most probable cause mediating this effect. This relationship is supported by genome-wide screens for disease modifiers, which have revealed the importance of DNA-repair genes in Huntington's disease (ie, FAN1, LIG1, MLH1, MSH3, PMS1, and PMS2). WHERE NEXT?: Focus needs to be placed on refining our understanding of the effect of the loss-of-interruption and duplication-of-interruption variants and other interrupting sequence variants on age of onset, and assessing their effect in disease-relevant brain tissues, as well as in diverse population groups, such as individuals from Africa and Asia. Diagnostic tests should be augmented or updated, since current tests do not assess the underlying DNA sequence variation, especially when assessing individuals that carry alleles in the reduced penetrance range. Future studies should explore somatic repeat instability and DNA repair as new therapeutic targets to modify age of onset in Huntington's disease and in other repeat-mediated disorders. Disease-modifying therapies could potentially be developed by therapeutically targeting these processes. Promising approaches include therapeutically targeting the expanded repeat or directly perturbing key DNA-repair genes (eg, with antisense oligonucleotides or small molecules). Targeting the CAG repeat directly with naphthyridine-azaquinolone, a compound that induces contractions, and altering the expression of MSH3, represent two viable therapeutic strategies. However, as a first step, the capability of such novel therapeutic approaches to delay clinical onset in animal models should be assessed.
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Affiliation(s)
- Galen E B Wright
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada; Neuroscience Research Program, Kleysen Institute for Advanced Medicine, Department of Pharmacology and Therapeutics, University of Manitoba, Winnipeg, MB, Canada
| | - Hailey Findlay Black
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Jennifer A Collins
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Terence Gall-Duncan
- Program of Genetics and Genome Biology, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada; Program of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Nicholas S Caron
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Christopher E Pearson
- Program of Genetics and Genome Biology, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada; Program of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Michael R Hayden
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada; BC Children's Hospital Research Institute, Vancouver, BC, Canada.
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12
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Lalonde E, Rentas S, Lin F, Dulik MC, Skraban CM, Spinner NB. Genomic Diagnosis for Pediatric Disorders: Revolution and Evolution. Front Pediatr 2020; 8:373. [PMID: 32733828 PMCID: PMC7360789 DOI: 10.3389/fped.2020.00373] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 06/02/2020] [Indexed: 12/14/2022] Open
Abstract
Powerful, recent advances in technologies to analyze the genome have had a profound impact on the practice of medical genetics, both in the laboratory and in the clinic. Increasing utilization of genome-wide testing such as chromosomal microarray analysis and exome sequencing have lead a shift toward a "genotype-first" approach. Numerous techniques are now available to diagnose a particular syndrome or phenotype, and while traditional techniques remain efficient tools in certain situations, higher-throughput technologies have become the de facto laboratory tool for diagnosis of most conditions. However, selecting the right assay or technology is challenging, and the wrong choice may lead to prolonged time to diagnosis, or even a missed diagnosis. In this review, we will discuss current core technologies for the diagnosis of classic genetic disorders to shed light on the benefits and disadvantages of these strategies, including diagnostic efficiency, variant interpretation, and secondary findings. Finally, we review upcoming technologies posed to impart further changes in the field of genetic diagnostics as we move toward "genome-first" practice.
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Affiliation(s)
- Emilie Lalonde
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, School of Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Stefan Rentas
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, School of Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Fumin Lin
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, School of Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Matthew C. Dulik
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, School of Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Cara M. Skraban
- Division of Human Genetics, Department of Pediatrics, School of Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
| | - Nancy B. Spinner
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, School of Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, United States
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13
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La Rosa P, Petrillo S, Bertini ES, Piemonte F. Oxidative Stress in DNA Repeat Expansion Disorders: A Focus on NRF2 Signaling Involvement. Biomolecules 2020; 10:biom10050702. [PMID: 32369911 PMCID: PMC7277112 DOI: 10.3390/biom10050702] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 04/24/2020] [Accepted: 04/27/2020] [Indexed: 12/13/2022] Open
Abstract
DNA repeat expansion disorders are a group of neuromuscular and neurodegenerative diseases that arise from the inheritance of long tracts of nucleotide repetitions, located in the regulatory region, introns, or inside the coding sequence of a gene. Although loss of protein expression and/or the gain of function of its transcribed mRNA or translated product represent the major pathogenic effect of these pathologies, mitochondrial dysfunction and imbalance in redox homeostasis are reported as common features in these disorders, deeply affecting their severity and progression. In this review, we examine the role that the redox imbalance plays in the pathological mechanisms of DNA expansion disorders and the recent advances on antioxidant treatments, particularly focusing on the expression and the activity of the transcription factor NRF2, the main cellular regulator of the antioxidant response.
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14
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Alexander-Floyd J, Haroon S, Ying M, Entezari AA, Jaeger C, Vermulst M, Gidalevitz T. Unexpected cell type-dependent effects of autophagy on polyglutamine aggregation revealed by natural genetic variation in C. elegans. BMC Biol 2020; 18:18. [PMID: 32093691 PMCID: PMC7038566 DOI: 10.1186/s12915-020-0750-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 02/13/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Monogenic protein aggregation diseases, in addition to cell selectivity, exhibit clinical variation in the age of onset and progression, driven in part by inter-individual genetic variation. While natural genetic variants may pinpoint plastic networks amenable to intervention, the mechanisms by which they impact individual susceptibility to proteotoxicity are still largely unknown. RESULTS We have previously shown that natural variation modifies polyglutamine (polyQ) aggregation phenotypes in C. elegans muscle cells. Here, we find that a genomic locus from C. elegans wild isolate DR1350 causes two genetically separable aggregation phenotypes, without changing the basal activity of muscle proteostasis pathways known to affect polyQ aggregation. We find that the increased aggregation phenotype was due to regulatory variants in the gene encoding a conserved autophagy protein ATG-5. The atg-5 gene itself conferred dosage-dependent enhancement of aggregation, with the DR1350-derived allele behaving as hypermorph. Surprisingly, increased aggregation in animals carrying the modifier locus was accompanied by enhanced autophagy activation in response to activating treatment. Because autophagy is expected to clear, not increase, protein aggregates, we activated autophagy in three different polyQ models and found a striking tissue-dependent effect: activation of autophagy decreased polyQ aggregation in neurons and intestine, but increased it in the muscle cells. CONCLUSIONS Our data show that cryptic natural variants in genes encoding proteostasis components, although not causing detectable phenotypes in wild-type individuals, can have profound effects on aggregation-prone proteins. Clinical applications of autophagy activators for aggregation diseases may need to consider the unexpected divergent effects of autophagy in different cell types.
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Affiliation(s)
- J Alexander-Floyd
- Biology Department, Drexel University, Philadelphia, PA, 19104, USA
- Present Address: Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - S Haroon
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - M Ying
- Biology Department, Drexel University, Philadelphia, PA, 19104, USA
| | - A A Entezari
- Biology Department, Drexel University, Philadelphia, PA, 19104, USA
- Current Address: Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA, 19107, USA
| | - C Jaeger
- Biology Department, Drexel University, Philadelphia, PA, 19104, USA
- Current Address: Department of Neuroradiology, Technical University of Munich, Munich, Germany
| | - M Vermulst
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Current Address: Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - T Gidalevitz
- Biology Department, Drexel University, Philadelphia, PA, 19104, USA.
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15
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One‑carbon metabolism factor MTHFR variant is associated with saccade latency in Spinocerebellar Ataxia type 2. J Neurol Sci 2020; 409:116586. [PMID: 31812845 DOI: 10.1016/j.jns.2019.116586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 11/20/2019] [Accepted: 11/21/2019] [Indexed: 11/23/2022]
Abstract
BACKGROUND Spinocerebellar ataxia type 2 (SCA2) is a neurodegenerative disorder due to a CAG-repeat expansion. This work is intended to identify modifiers of the clinical phenotype in SCA2, following up on recent genome-wide association analyses that demonstrated the prominent role of DNA-damage repair and methylation for the severity and progression of polyglutamine diseases. In particular, we assessed the impact of MTHFR as rate-limiting enzyme in DNA methylation pathways, which modulates cerebellar neurotransmission and motor neuron atrophy. METHODS A sample of 166 Cuban SCA2 patients and of 130 healthy subjects from the same geographical and ethnic background was selected. The ATXN2 CAG repeat length was determined by PCR followed by polyacrylamide gel electrophoresis. Two amino acid substitutions known to decrease the enzyme activity of MTHFR, encoded by C677T and A1298C polymorphisms, were assessed by PCR/RFLP. RESULTS No significant differences were observed for C677T or A1298C alleles or genotype frequencies between cases and controls, confirming that disease risk in SCA2 does not depend on MTHFR activity. However, MTHFR A1298C genotypes showed a significant association with saccade latency. CONCLUSIONS \MTHFR A1298C polymorphism is associated with saccade latency in SCA2 patients, but not with disease risk, age at onset or maximal saccade velocity. These results provide evidence that folate-mediated one‑carbon metabolism might be important in the physiopathology of SCA2.
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16
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Kuo SH, Louis ED, Faust PL, Handforth A, Chang SY, Avlar B, Lang EJ, Pan MK, Miterko LN, Brown AM, Sillitoe RV, Anderson CJ, Pulst SM, Gallagher MJ, Lyman KA, Chetkovich DM, Clark LN, Tio M, Tan EK, Elble RJ. Current Opinions and Consensus for Studying Tremor in Animal Models. CEREBELLUM (LONDON, ENGLAND) 2019; 18:1036-1063. [PMID: 31124049 PMCID: PMC6872927 DOI: 10.1007/s12311-019-01037-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Tremor is the most common movement disorder; however, we are just beginning to understand the brain circuitry that generates tremor. Various neuroimaging, neuropathological, and physiological studies in human tremor disorders have been performed to further our knowledge of tremor. But, the causal relationship between these observations and tremor is usually difficult to establish and detailed mechanisms are not sufficiently studied. To overcome these obstacles, animal models can provide an important means to look into human tremor disorders. In this manuscript, we will discuss the use of different species of animals (mice, rats, fruit flies, pigs, and monkeys) to model human tremor disorders. Several ways to manipulate the brain circuitry and physiology in these animal models (pharmacology, genetics, and lesioning) will also be discussed. Finally, we will discuss how these animal models can help us to gain knowledge of the pathophysiology of human tremor disorders, which could serve as a platform towards developing novel therapies for tremor.
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Affiliation(s)
- Sheng-Han Kuo
- Department of Neurology, Columbia University, 650 West 168th Street, Room 305, New York, NY, 10032, USA.
| | - Elan D Louis
- Department of Neurology, Yale School of Medicine, Yale University, 800 Howard Avenue, Ste Lower Level, New Haven, CT, 06519, USA.
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA.
- Center for Neuroepidemiology and Clinical Neurological Research, Yale School of Medicine, Yale University, New Haven, CT, USA.
| | - Phyllis L Faust
- Department of Pathology and Cell Biology, Columbia University Medical Center and the New York Presbyterian Hospital, New York, NY, USA
| | - Adrian Handforth
- Neurology Service, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Su-Youne Chang
- Department of Neurologic Surgery and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Billur Avlar
- Department of Neuroscience and Physiology, New York University School of Medicine, New York, NY, USA
| | - Eric J Lang
- Department of Neuroscience and Physiology, New York University School of Medicine, New York, NY, USA
| | - Ming-Kai Pan
- Department of Medical Research and Neurology, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Lauren N Miterko
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA
- Program in Developmental Biology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute of Texas Children's Hospital, Houston, TX, USA
| | - Amanda M Brown
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute of Texas Children's Hospital, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Roy V Sillitoe
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA
- Program in Developmental Biology, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute of Texas Children's Hospital, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Collin J Anderson
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Stefan M Pulst
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | | | - Kyle A Lyman
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Lorraine N Clark
- Department of Pathology and Cell Biology, Columbia University Medical Center and the New York Presbyterian Hospital, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Murni Tio
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Rodger J Elble
- Department of Neurology, Southern Illinois University School of Medicine, Springfield, IL, USA
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17
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Egorova PA, Bezprozvanny IB. Molecular Mechanisms and Therapeutics for Spinocerebellar Ataxia Type 2. Neurotherapeutics 2019; 16:1050-1073. [PMID: 31435879 PMCID: PMC6985344 DOI: 10.1007/s13311-019-00777-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The effective therapeutic treatment and the disease-modifying therapy for spinocerebellar ataxia type 2 (SCA2) (a progressive hereditary disease caused by an expansion of polyglutamine in the ataxin-2 protein) is not available yet. At present, only symptomatic treatment and methods of palliative care are prescribed to the patients. Many attempts were made to study the physiological, molecular, and biochemical changes in SCA2 patients and in a variety of the model systems to find new therapeutic targets for SCA2 treatment. A better understanding of the uncovered molecular mechanisms of the disease allowed the scientific community to develop strategies of potential therapy and helped to create some promising therapeutic approaches for SCA2 treatment. Recent progress in this field will be discussed in this review article.
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Affiliation(s)
- Polina A Egorova
- Laboratory of Molecular Neurodegeneration, Peter the Great St.Petersburg Polytechnic University, St. Petersburg, 195251, Russia
| | - Ilya B Bezprozvanny
- Laboratory of Molecular Neurodegeneration, Peter the Great St.Petersburg Polytechnic University, St. Petersburg, 195251, Russia.
- Department of Physiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, ND12.200, Dallas, Texas, 75390, USA.
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18
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Wu C, Cai Q, You H, Zhou X, Chen D, Mo G, Li X. Co-occurrence of ATXN3 and ATXN2 repeat expansions in Chinese ataxia patients with slow saccades. Mol Genet Genomic Med 2019; 7:e663. [PMID: 30920184 PMCID: PMC6565543 DOI: 10.1002/mgg3.663] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 01/27/2019] [Accepted: 03/06/2019] [Indexed: 12/26/2022] Open
Abstract
Background The presence of more than one polyQ‐related gene within a single individual is a rare incidence, which may provide the potential opportunity to study the combined effects of these spinocerebellar ataxia (SCA) genes. Methods We retrospectively analyzed genetic data from 112 SCA3 probands and found Patient 1 harbored expanded ATXN2 allele (33 repeats) and intermediate TBP allele (41 repeats), and Patient 2 with intermediate ATXN2 allele (32 repeats). Detailed clinical and oculomotor performances were investigated. The age at onset and oculomotor parameters of both patients were compared with matched pure SCA3 groups controlling either disease severity or CAG repeats. Results Most of the clinical phenotypes and oculomotor characteristics of these two patients were common to typical SCA3 patients. Compared to pure SCA3 groups controlling disease severity, mild reduced horizontal saccade velocity could be detected in both patients. However, mild expansions of the ATXN2 allele seemed to have no influence on the age at onset of Patient 1 but might have a mild impact on Patient 2. Conclusion Our study provides supporting evidence that mild expansions of ATXN2 may have modifying effects on SCA3 phenotype. Larger control series and longitudinal data are warranted to confirm our results.
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Affiliation(s)
- Chao Wu
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qiong Cai
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huajing You
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiangxue Zhou
- Department of Neurology, The East Area of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Dingbang Chen
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guiling Mo
- Guangzhou KingMed Center for Clinical Laboratory Co. Ltd, Guangzhou, Guangdong, China
| | - Xunhua Li
- Department of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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19
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Chen Z, Sequeiros J, Tang B, Jiang H. Genetic modifiers of age-at-onset in polyglutamine diseases. Ageing Res Rev 2018; 48:99-108. [PMID: 30355507 DOI: 10.1016/j.arr.2018.10.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 08/03/2018] [Accepted: 10/17/2018] [Indexed: 11/25/2022]
Abstract
Polyglutamine (polyQ) diseases are a group of clinically and genetically heterogeneous neurodegenerative diseases. Expansion size correlates with age-at-onset (AO) and severity, and shows a critical threshold for each polyQ disease. Although an expanded CAG tract is sufficient to trigger disease, not all variation in AO is explained by (CAG)n length, which suggests the contribution of other modifying factors. Methods used to identify genetic modifiers in polyQ diseases have progressed from candidate genes to unbiased genome-wide searches. Inconsistency of results from candidate-genes studies are partly explained by sample size, study design and variable population frequency of "polymorphisms"; a genome-wide search may help elucidating more precise disease mechanisms underlying specific interaction networks. We review known genetic modifiers for polyQ diseases, and discuss developing strategies to find modulation, from common variants to networks disclosing small cumulative effects of key genes and modifying pathways. This may lead to a better understanding of genotype-phenotype correlation and the proposal of new potential targets for therapeutical interventions.
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20
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Pulst SM. The complex structure of ATXN2 genetic variation. Neurol Genet 2018; 4:e299. [PMID: 30588499 PMCID: PMC6290488 DOI: 10.1212/nxg.0000000000000299] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 11/02/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Stefan M Pulst
- Department of Neurology, University of Utah, Salt Lake City, UT
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21
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Bis-Brewer DM, Züchner S. Perspectives on the Genomics of HSP Beyond Mendelian Inheritance. Front Neurol 2018; 9:958. [PMID: 30534106 PMCID: PMC6275194 DOI: 10.3389/fneur.2018.00958] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Accepted: 10/25/2018] [Indexed: 12/12/2022] Open
Abstract
Hereditary Spastic Paraplegia is an extraordinarily heterogeneous disease caused by over 50 Mendelian genes. Recent applications of next-generation sequencing, large scale data analysis, and data sharing/matchmaking, have discovered a quickly expanding set of additional HSP genes. Since most recently discovered HSP genes are rare causes of the disease, there is a growing concern of a persisting diagnostic gap, estimated at 30-40%, and even higher for sporadic cases. This missing heritability may not be fully closed by classic Mendelian mutations in protein coding genes. Here we show strategies and published examples of broadening areas of attention for Mendelian and non-Mendelian causes of HSP. We suggest a more inclusive perspective on the potential final architecture of HSP genomics. Efforts to narrow the heritability gap will ultimately lead to more precise and comprehensive genetic diagnoses, which is the starting point for emerging, highly specific gene therapies.
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Affiliation(s)
- Dana M. Bis-Brewer
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, United States
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Stephan Züchner
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, United States
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, United States
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22
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Yau WY, O'Connor E, Sullivan R, Akijian L, Wood NW. DNA repair in trinucleotide repeat ataxias. FEBS J 2018; 285:3669-3682. [PMID: 30152109 DOI: 10.1111/febs.14644] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 08/15/2018] [Accepted: 08/23/2018] [Indexed: 12/21/2022]
Abstract
The inherited cerebellar ataxias comprise of a genetic heterogeneous group of disorders. Pathogenic expansions of cytosine-adenine-guanine (CAG) encoding polyglutamine tracts account for the largest proportion of autosomal dominant cerebellar ataxias, while GAA expansion in the first introns of frataxin gene is the commonest cause of autosomal recessive cerebellar ataxias. Currently, there is no available treatment to alter the disease trajectory, with devastating consequences for affected individuals. Inter- and Intrafamily phenotypic variability suggest the existence of genetic modifiers, which may become targets amendable to treatment. Recent studies have demonstrated the importance of DNA repair pathways in modifying spinocerebellar ataxia with CAG repeat expansions. In this review, we discuss the mechanisms in which DNA repair pathways, epigenetics and other genetic factors may act as modifiers in cerebellar ataxias due to trinucleotide repeat expansions.
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Affiliation(s)
- Wai Yan Yau
- Department of Molecular Neuroscience, Institute of Neurology, University College London, UK
| | - Emer O'Connor
- Department of Molecular Neuroscience, Institute of Neurology, University College London, UK
| | - Roisin Sullivan
- Department of Molecular Neuroscience, Institute of Neurology, University College London, UK
| | - Layan Akijian
- Department of Neurology, The National Hospital for Neurology and Neurosurgery, London, UK
| | - Nicholas W Wood
- Department of Molecular Neuroscience, Institute of Neurology, University College London, UK.,Neurogenetics laboratory, The National Hospital for Neurology and Neurosurgery, London, UK
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23
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Neuroimmunology Research. A Report from the Cuban Network of Neuroimmunology. Behav Sci (Basel) 2018; 8:bs8050047. [PMID: 29738432 PMCID: PMC5981241 DOI: 10.3390/bs8050047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 04/23/2018] [Accepted: 04/25/2018] [Indexed: 11/17/2022] Open
Abstract
Neuroimmunology can be traced back to the XIX century through the descriptions of some of the disease’s models (e.g., multiple sclerosis and Guillain Barret syndrome, amongst others). The diagnostic tools are based in the cerebrospinal fluid (CSF) analysis developed by Quincke or in the development of neuroimmunotherapy with the earlier expression in Pasteur’s vaccine for rabies. Nevertheless, this field, which began to become delineated as an independent research area in the 1940s, has evolved as an innovative and integrative field at the shared edges of neurosciences, immunology, and related clinical and research areas, which are currently becoming a major concern for neuroscience and indeed for all of the scientific community linked to it. The workshop focused on several topics: (1) the molecular mechanisms of immunoregulation in health and neurological diseases, (like multiple sclerosis, autism, ataxias, epilepsy, Alzheimer and Parkinson’s disease); (2) the use of animal models for neurodegenerative diseases (ataxia, fronto-temporal dementia/amyotrophic lateral sclerosis, ataxia-telangiectasia); (3) the results of new interventional technologies in neurology, with a special interest in the implementation of surgical techniques and the management of drug-resistant temporal lobe epilepsy; (4) the use of non-invasive brain stimulation in neurodevelopmental disorders; as well as (5) the efficacy of neuroprotective molecules in neurodegenerative diseases. This paper summarizes the highlights of the symposium.
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24
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Zeitlberger A, Ging H, Nethisinghe S, Giunti P. Advances in the understanding of hereditary ataxia – implications for future patients. Expert Opin Orphan Drugs 2018. [DOI: 10.1080/21678707.2018.1444477] [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: 10/17/2022]
Affiliation(s)
- Anna Zeitlberger
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Heather Ging
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Suran Nethisinghe
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Paola Giunti
- Department of Molecular Neuroscience, UCL, Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
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25
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Abstract
More than 40 diseases, most of which primarily affect the nervous system, are caused by expansions of simple sequence repeats dispersed throughout the human genome. Expanded trinucleotide repeat diseases were discovered first and remain the most frequent. More recently tetra-, penta-, hexa-, and even dodeca-nucleotide repeat expansions have been identified as the cause of human disease, including some of the most common genetic disorders seen by neurologists. Repeat expansion diseases include both causes of myotonic dystrophy (DM1 and DM2), the most common genetic cause of amyotrophic lateral sclerosis/frontotemporal dementia (C9ORF72), Huntington disease, and eight other polyglutamine disorders, including the most common forms of dominantly inherited ataxia, the most common recessive ataxia (Friedreich ataxia), and the most common heritable mental retardation (fragile X syndrome). Here I review distinctive features of this group of diseases that stem from the unusual, dynamic nature of the underlying mutations. These features include marked clinical heterogeneity and the phenomenon of clinical anticipation. I then discuss the diverse molecular mechanisms driving disease pathogenesis, which vary depending on the repeat sequence, size, and location within the disease gene, and whether the repeat is translated into protein. I conclude with a brief clinical and genetic description of individual repeat expansion diseases that are most relevant to neurologists.
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26
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Rodríguez-Labrada R, Vázquez-Mojena Y, Canales-Ochoa N, Medrano-Montero J, Velázquez-Pérez L. Heritability of saccadic eye movements in spinocerebellar ataxia type 2: insights into an endophenotype marker. CEREBELLUM & ATAXIAS 2017; 4:19. [PMID: 29276612 PMCID: PMC5738191 DOI: 10.1186/s40673-017-0078-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 12/07/2017] [Indexed: 12/19/2022]
Abstract
Background Saccade slowing has been proposed as endophenotype marker in Spinocerebellar Ataxia type 2 (SCA2), nevertheless the heritability of this trait has not been properly demonstrated. Thus the present paper was aimed to assess the heritability of different saccadic parameters in SCA2. Methods Forty-eight SCA2 patients, 25 preclinical carriers and 24 non-SCA2 mutation carriers underwent electronystagmographical assessments of saccadic eye movements as well as neurological examination and ataxia scoring. Estimates of heritability based on the intraclass correlation coefficients were calculated for saccade velocity, accuracy and latency as well as for age at disease onset from 36, 17 and 15 sibling pairs of SCA2 patients, preclinical carriers and controls, respectively. Results Saccade velocity was significantly reduced in SCA2 patients and preclinical carriers, whereas decreased saccade accuracy and increased saccade latency were only observed in the patients cohort. Intraclass correlation coefficient for saccade velocity was highly significant in SCA2 patients, estimating a heritability around 94%, whereas for the age at ataxia onset this estimate was around 68%. Conclusions Electronystagmographical measure of saccade velocity showed higher familial aggregation between SCA2 patients leading the suitability of this disease feature as endophenotype marker, with potential usefulness for the search of modifier genes and neurobiological underpinnings of the disease and as outcome measure in future neuroprotective clinical trials.
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Affiliation(s)
- Roberto Rodríguez-Labrada
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Calle Libertad 26, 80100 Holguín, Cuba.,School of Physical Culture, University of Holguín, 25th street 104, 80100 Holguín, Cuba
| | - Yaimeé Vázquez-Mojena
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Calle Libertad 26, 80100 Holguín, Cuba
| | - Nalia Canales-Ochoa
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Calle Libertad 26, 80100 Holguín, Cuba
| | - Jacqueline Medrano-Montero
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Calle Libertad 26, 80100 Holguín, Cuba.,School of Physical Culture, University of Holguín, 25th street 104, 80100 Holguín, Cuba
| | - Luis Velázquez-Pérez
- Centre for the Research and Rehabilitation of Hereditary Ataxias, Calle Libertad 26, 80100 Holguín, Cuba.,Medical University of Holguín, Lenin Avenue 4, 80100 Holguín, Cuba
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27
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Barbier M, Camuzat A, Houot M, Clot F, Caroppo P, Fournier C, Rinaldi D, Pasquier F, Hannequin D, Pariente J, Larcher K, Brice A, Génin E, Sabbagh A, Le Ber I. Factors influencing the age at onset in familial frontotemporal lobar dementia: Important weight of genetics. NEUROLOGY-GENETICS 2017; 3:e203. [PMID: 29264395 PMCID: PMC5730818 DOI: 10.1212/nxg.0000000000000203] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 09/20/2017] [Indexed: 12/12/2022]
Abstract
Objective: To quantify the effect of genetic factors and generations influencing the age at onset (AAO) in families with frontotemporal lobar dementia (FTD) due to C9ORF72 hexanucleotide repeat expansions and GRN mutations. Methods: We studied 504 affected individuals from 133 families with C9ORF72 repeat expansions and 90 FTD families with mutations in GRN, 2 major genes responsible for FTD and/or amyotrophic lateral sclerosis. Intrafamilial correlations of AAO were analyzed, and variance component methods were used for heritability estimates. Generational effects on hazard rates for AAO were assessed using mixed-effects Cox proportional hazard models. Results: A generational effect influencing AAO was detected in both C9ORF72 and GRN families. Nevertheless, the estimated proportion of AAO variance explained by genetic factors was high in FTD caused by C9ORF72 repeat expansions (44%; p = 1.10e−4), 62% when the AAO of dementia was specifically taken into account (p = 8.10e−5), and to a lesser degree in GRN families (26%; p = 0.17). Intrafamilial correlation analyses revealed a significant level of correlations in C9ORF72 families according to the degree of kinship. A pattern of intrafamilial correlations also suggested potential X-linked modifiers acting on AAO. Nonsignificant correlation values were observed in GRN families. Conclusions: Our results provide original evidence that genetic modifiers strongly influence the AAO in C9ORF72 carriers, while their effects seem to be weaker in GRN families. This constitutes a rational to search for genetic biomarkers, which could help to improve genetic counseling, patient care, and monitoring of therapeutic trials.
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Affiliation(s)
- Mathieu Barbier
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Agnès Camuzat
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Marion Houot
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Fabienne Clot
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Paola Caroppo
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Clémence Fournier
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Daisy Rinaldi
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Florence Pasquier
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Didier Hannequin
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Jérémie Pariente
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Kathy Larcher
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | | | | | - Alexis Brice
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Emmanuelle Génin
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Audrey Sabbagh
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
| | - Isabelle Le Ber
- INSERM U1127 (M.B., A.C., P.C., C.F., D.R., A.B., I.L.B.), CNRS UMR 7225, UPMC Université Paris 06 UMR S1127, Sorbonne Université Institut du Cerveau et de la Moelle épinière, ICM; Ecole Pratique des Hautes Etudes-EPHE (A.C.), PSL Research University; Institute of Memory and Alzheimer's Disease (IM2A) (M.H., P.C., D.R., I.L.B.), Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, APHP Department of Neurology, Hopital Pitié-Salpêtrière, University Paris 6; Unité Fonctionnelle de Neurogénétique Moléculaire et Cellulaire (F.C., K.L.), Département de Génétique et Cytogénétique, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Paris, France; Carlo Besta Neurological Institute (P.C.), IRCCS Foundation, Milano, Italy; Assistance Publique-Hôpitaux de Paris (D.R., I.L.B.), Hôpital Pitié-Salpêtrière, Centre de référence Démences Rares, Paris, France; Université de Lille (F.P.), Inserm U1171, CHU Lille, Labex DistAlz, LiCEND, France; Department of Neurology (D.H.), University Hospital, Rouen, France; Département de Neurologie (J.P.), CHU Toulouse, Equipe TONIC, INSERM, Place du Dr Baylac, France; INSERM (E.G.), UMR1078, CHU Brest, Université Bretagne Occidentale, France; and Institut de Recherche pour le Développement (IRD) (A.S.), UMR216-MERIT, Paris, France
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