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Caravaca Puchades A, McDonough HE, Al-Chalabi A, Chiò A, Corcia P, Galvin M, Hardiman O, Heverin M, Hobin F, Holmdahl O, Ingre C, Lamaire N, Mac Domhnaill É, Manera U, McFarlane R, Mouzouri M, Ombelet F, Opie-Martin S, Sennfält S, Terrafeta Pastor C, Veldink JH, Van Damme P, van den Berg L, van Eijk RPA, Vasta R, Weemering DN, Shaw P, McDermott CJ, Povedano Panadés M. Mapping the natural history of amyotrophic lateral sclerosis: time-to-event analysis of clinical milestones in the pan-European, population-based PRECISION-ALS cohort. Amyotroph Lateral Scler Frontotemporal Degener 2025; 26:8-19. [PMID: 40326915 DOI: 10.1080/21678421.2024.2448535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Revised: 11/25/2024] [Accepted: 12/07/2024] [Indexed: 05/07/2025]
Abstract
OBJECTIVE Map time to key clinical milestones in amyotrophic lateral sclerosis (ALS), highlighting underlying genotypic and phenotypic prognostic factors. BACKGROUND Understanding the ALS disease trajectory and factors influencing the heterogeneous disease course is important to guide clinical care and stratify individuals to effectively assess therapeutics in clinical trials. METHODS Population-based datasets from nine European ALS care centers were collated. Time-to-event analysis was conducted for key clinical milestones: symptom onset, diagnosis, gastrostomy insertion, noninvasive ventilation (NIV) initiation, and survival. Independent prognostic factors were determined. RESULTS 21,820 people with ALS from nine ALS centers were included. Median age of symptom onset was 63.9 years. Median diagnostic delay was 1.0 years, with median survival of 33.7 months from onset. Prognostic factors for survival included age at onset, baseline vital capacity, progression rate, diagnostic delay, site of onset, and C9orf72-positive status. SOD1 variants D91A and G94C had protective prognostic effects in the whole cohort. Median time from diagnosis to gastrostomy insertion in bulbar-onset disease was 2.34 years. Median time from diagnosis to NIV initiation in those diagnosed between 2010 and 2019 was 3.61 years. Significant differences between ALS clinical center cohorts were seen in time to gastrostomy insertion, time to NIV initiation, and in overall survival time. CONCLUSION Our analysis of a large, well-defined, population-based European cohort provides detailed insight into the natural history of ALS, highlighting phenotypic and genetic factors affecting time to key clinical milestones. Further study is needed to determine the drivers in observed differences between ALS clinical center cohorts in time to clinical interventions and overall survival.
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Affiliation(s)
| | - Harry E McDonough
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
- NIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals, Sheffield, UK
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- Department of Neurosciences, King's College Hospital, London, UK
| | - Adriano Chiò
- Rita Levi Montalcinì Department of Neuroscience, University of Turin, Turin, Italy
| | - Philippe Corcia
- Centre de Référence Maladies Rares SLA, CHU Tours, Tours, France
- UMR 1253 iBrain, Université de Tours, Inserm, Tours, France
| | - Miriam Galvin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Department of Neurology, Beaumont Hospital, Dublin, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Frederik Hobin
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
- Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Oskar Holmdahl
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Caroline Ingre
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Nikita Lamaire
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
- Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Éanna Mac Domhnaill
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Umberto Manera
- Rita Levi Montalcinì Department of Neuroscience, University of Turin, Turin, Italy
| | - Robert McFarlane
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
- Department of Neurology, Beaumont Hospital, Dublin, Ireland
| | | | - Fouke Ombelet
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
- Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Sarah Opie-Martin
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
| | - Stefan Sennfält
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | | | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands, and
| | - Philip Van Damme
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
- Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Leonard van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands, and
| | - Ruben P A van Eijk
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands, and
- Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Rosario Vasta
- Rita Levi Montalcinì Department of Neuroscience, University of Turin, Turin, Italy
| | - Daphne N Weemering
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands, and
| | - Pamela Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
- NIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals, Sheffield, UK
| | - Christopher J McDermott
- Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, UK
- NIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals, Sheffield, UK
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McFarlane R, Opie-Martin S, Caravaca Puchades A, Chiò A, Corcia P, Galvin M, Heverin M, Hobin F, Holmdahl O, Ingre C, Lamaire N, Mac Domhnaill É, Manera U, Mcdermott CJ, McDonough H, Mouzouri M, Ombelet F, Panadés MP, Sennfält S, Shaw P, Terrafeta Pastor C, Veldink JH, Van Damme P, van den Berg L, Van Eijk RPA, Vasta R, Weemering DN, Al-Chalabi A, Hardiman O. Clinical trajectories of genetic variants in ALS: a European observational study within PRECISION-ALS. Amyotroph Lateral Scler Frontotemporal Degener 2025; 26:41-49. [PMID: 40326912 DOI: 10.1080/21678421.2025.2450805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 11/11/2024] [Accepted: 01/04/2025] [Indexed: 05/07/2025]
Abstract
OBJECTIVE To investigate the association between C9orf72, SOD1, FUS and TARDBP variants on the clinical trajectory of ALS patients in Europe. METHODS Nine ALS centers with population-based registries provided data on demographic and disease characteristics - at diagnosis and longitudinally - as part of PRECISION ALS. These data were harmonized and collated for analysis. RESULTS 21,820 ALS patients were identified, 9,887 underwent genetic testing for at least one of the 4 genes of interest. 9.8% of patients carried a hexanucleotide expansion in C9orf72; 2.9% carried a pathogenic variant in SOD1; 1.4% carried a pathogenic variant in TARDBP; and 0.8% carried a pathogenic variant in FUS. Only one p.A5V variant was identified in this dataset. The most frequently identified SOD1 variant was p.D91A, with evidence of other variant clusters in Belgium, Italy and the United Kingdom. TARDBP variants were clustered in the Netherlands and Italy. Earlier ages of onset were demonstrated compared to wild-type populations; C9orf72 59.58 (IQR 62.5, p < 2.2e-16), SOD1 54.19 (IQR 19.4, p = 6.304e-14), TARDBP 58.30 (IQR 16.23, p = 0.00024) and FUS 51.16 (IQR 25.08, p = 1.58e-06). C9orf72 was more bulbar (p < 0.0001) in onset and SOD1 more spinal (p < 0.0001). Those carrying variants spent distinctly different periods in each of the King's stages. CONCLUSIONS Genetic forms of ALS have an earlier age of onset, have distinct patterns in their sites of disease onset, and progress differently as compared to populations without such major-effect genes. There is also evidence of disease clusters across Europe suggestive of founder effects.
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Affiliation(s)
- Robert McFarlane
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Sarah Opie-Martin
- Department of Basic and Clinical Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, United Kingdom
| | - Alejandro Caravaca Puchades
- Department of Neurology, Hospital Universitari de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Adriano Chiò
- "Rita Levi Montalcinì" Department of Neuroscience, University of Turin, Turin, Italy
| | - Philippe Corcia
- Centre de Reference Maladies Rares SLA, CHU Tours, Tours, France
| | - Miriam Galvin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Mark Heverin
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Frederik Hobin
- Neurology Department, University Hospitals Leuven, University of Leuven, and Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Oskar Holmdahl
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Caroline Ingre
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Nikita Lamaire
- Neurology Department, University Hospitals Leuven, University of Leuven, and Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Éanna Mac Domhnaill
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
| | - Umberto Manera
- "Rita Levi Montalcinì" Department of Neuroscience, University of Turin, Turin, Italy
| | - Christopher J Mcdermott
- Department of Neurology, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Harry McDonough
- Department of Neurology, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | | | - Fouke Ombelet
- Neurology Department, University Hospitals Leuven, University of Leuven, and Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Mónica Povedano Panadés
- Department of Neurology, Hospital Universitari de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Stefan Sennfält
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Pamela Shaw
- Department of Neurology, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Cristina Terrafeta Pastor
- Department of Neurology, Hospital Universitari de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Jan H Veldink
- Department of Neurology, Sheffield Institute for Translational Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Philip Van Damme
- Neurology Department, University Hospitals Leuven, University of Leuven, and Neuroscience Department, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium
| | - Leonard van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ruben P A Van Eijk
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Rosario Vasta
- "Rita Levi Montalcinì" Department of Neuroscience, University of Turin, Turin, Italy
| | - Daphne N Weemering
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, United Kingdom
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland
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Simonini C, Zucchi E, Martinelli I, Gianferrari G, Lunetta C, Sorarù G, Trojsi F, Pepe R, Piras R, Giacchino M, Banchelli F, Mandrioli J. Neurodegenerative and neuroinflammatory changes in SOD1-ALS patients receiving tofersen. Sci Rep 2025; 15:11034. [PMID: 40169784 PMCID: PMC11961715 DOI: 10.1038/s41598-025-94984-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Accepted: 03/18/2025] [Indexed: 04/03/2025] Open
Abstract
The initiation of tofersen, a new specific antisense oligonucleotide (ASO) for SOD1 pathology, marked a significant turning point for SOD1-ALS patients. While clinical trials and early access program studies reported a significant reduction in plasma and cerebrospinal fluid (CSF) neurofilament levels, neuroinflammation following prolonged treatment was never assessed. In this multicenter study, we evaluated a cohort of 18 SOD1-ALS patients treated with tofersen, analyzing correlations between biomarkers of neurodegeneration/neuroinflammation and clinical variables indicative of disease progression. NfL, NfH, CHI3L1, and Serpina1 levels in serum and CSF were determined by semi-automated immunoassays (Ella™ technology). Generalized linear mixed models were employed to investigate longitudinal trends of these biomarkers. Our data highlighted a progressive decrease in CSF neurofilament levels during tofersen treatment (MR = 0.97, 95% CI 0.94-0.99, p = 0.006 and MR = 0.98, 95% CI 0.95-1.00, p = 0.076 for NfL and NfH in CSF, respectively). Conversely, CSF levels of SerpinA1 and CHI3L1 increased over time (MR = 1.12, 95% CI 1.08-1.16, p < 0.0001 and MR = 1.039, 95% CI 1.015-1.062, p = 0.001 for SerpinA1 and CHI3L1 in CSF, respectively), but these modifications were most apparent after six and twelve months of therapy, respectively. Disease progression rate did not correlate with these biomarker trends. We observed a significant decrease in neurofilament levels during Tofersen treatment, alongside an increase in neuroinflammatory markers, potentially linked to an immune response triggered by ASO treatment. Given the limited data on tofersen's long-term efficacy in ALS due to its recent introduction, identifying biomarkers that predict clinical outcomes such as diminished therapeutic response or adverse effects is crucial. These biomarkers may help to better understand the underlying pathomechanisms of ALS and tofersen's role in modulating disease progression.
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Affiliation(s)
- Cecilia Simonini
- Department of Neurosciences, Ospedale Civile Baggiovara, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Elisabetta Zucchi
- Department of Neurosciences, Ospedale Civile Baggiovara, Azienda Ospedaliero Universitaria di Modena, Modena, Italy.
- Neuroscience PhD Program, University of Modena and Reggio Emilia, Modena, Italy.
| | - Ilaria Martinelli
- Department of Neurosciences, Ospedale Civile Baggiovara, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Giulia Gianferrari
- Department of Neurosciences, Ospedale Civile Baggiovara, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Neuroscience PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Christian Lunetta
- Neurorehabilitation Department, Istituti Clinici Scientifici Maugeri IRCCS, Milan Institute, 20138, Milan, Italy
| | - Gianni Sorarù
- Department of Neurosciences, Neuromuscular Center, University of Padua, Padua, Italy
| | - Francesca Trojsi
- Department of Advanced Medical and Surgical Sciences, MRI Research Center, Luigi Vanvitelli Campania University, Naples, Italy
- First Division of Neurology and Neurophysiopathology, University Hospital, Luigi Vanvitelli Campania University, Naples, Italy
| | - Roberta Pepe
- Department of Advanced Medical and Surgical Sciences, MRI Research Center, Luigi Vanvitelli Campania University, Naples, Italy
| | - Rachele Piras
- Neurorehabilitation Department, Istituti Clinici Scientifici Maugeri IRCCS, Milan Institute, 20138, Milan, Italy
| | - Matteo Giacchino
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Federico Banchelli
- Department of Neurosciences, Ospedale Civile Baggiovara, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Jessica Mandrioli
- Department of Neurosciences, Ospedale Civile Baggiovara, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
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Eisinger-Mathason TSK, Leshin J, Lahoti V, Fridsma DB, Mucaj V, Kho AN. Data linkage multiplies research insights across diverse healthcare sectors. COMMUNICATIONS MEDICINE 2025; 5:58. [PMID: 40038513 DOI: 10.1038/s43856-025-00769-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 02/14/2025] [Indexed: 03/06/2025] Open
Abstract
In all fields of study, as well as government and commerce, high-quality data enables informed decision-making. Linking data from disparate sources multiplies the opportunities for novel insights and evidence-based decision-making for an increasingly large range of administrative, clinical, research, and population health use cases. In recent years, novel methods, including privacy-preserving record linkage methods, have emerged. However, regardless of the method, successful data linkage is highly dependent on data quality and completeness and has to be balanced by the increased risk of re-identification of the subsequently linked data. Opportunities for the future include sharing tools for responsible linkage across silos, enhancing data to improve quality and completeness, and ensuring linkage leverages inclusive and representative datasets to ensure a balance between individual privacy and representation in research and novel discoveries. Here we provide a brief overview of the history and current state of data linkage, highlight the opportunities created by linked population data across critical research sectors, and describe the technology and policies that govern its usage.
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Affiliation(s)
- T S Karin Eisinger-Mathason
- Department of Pathology and Laboratory Medicine, The Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | | | | | - Abel N Kho
- Department of Medicine (General Internal Medicine and Geriatrics), Center for Health Information Partnerships, Institute for Artificial Intelligence in Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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Ando M, Higuchi Y, Yuan JH, Yoshimura A, Yano C, Hobara T, Kojima F, Hiramatsu Y, Nozuma S, Nakamura T, Sakiyama Y, Hashiguchi A, Okamoto Y, Matsushige T, Mitsui J, Tsuji S, Takashima H. SOD1-related inherited peripheral neuropathies in a Japanese cohort: genetic variants and clinical insights. J Neurol 2025; 272:191. [PMID: 39932579 PMCID: PMC11814053 DOI: 10.1007/s00415-025-12925-4] [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: 11/24/2024] [Revised: 01/11/2025] [Accepted: 01/19/2025] [Indexed: 02/14/2025]
Abstract
BACKGROUND Inherited peripheral neuropathies (IPNs) encompass a wide range of disorders affecting the peripheral nervous system, often with complex genetic causes and frequent underdiagnosis. The variants in the superoxide dismutase 1 (SOD1) gene, primarily linked to amyotrophic lateral sclerosis (ALS), have also been associated with peripheral neuropathy. The recent approval of Tofersen, targeting SOD1-related ALS, highlights the importance of precise genetic diagnosis. This study explores the clinical and genetic profiles of SOD1-related IPNs (SOD1-IPN) in a nationwide Japanese IPN cohort. METHODS Clinical and genetic data were assessed from 1483 Japanese patients with IPN, with a focus on those harboring SOD1 pathogenic variants. The clinical evaluations included age of onset, gender, muscle weakness patterns, sensory disturbances, reflex responses, and electrophysiological findings. RESULTS Seventeen patients with SOD1 pathogenic variants were identified, reinforcing SOD1's role in IPN. The average onset age was 47, with a slight male predominance. Distal muscle weakness was noted in 9 of 13 patients, and asymmetric muscle weakness and atrophy in 10 of 14 cases. Mild sensory disturbances were observed in eight patients, with some showing hyperreflexia and abnormal reflexes. Electrophysiology predominantly indicated a length-dependent, motor-dominant axonal neuropathy. CONCLUSION This study reveals the clinical variability and likely underdiagnosis of SOD1-IPN, supporting the integration of SOD1 screening in IPN genetic testing, especially for patients with asymmetric, length-dependent axonal neuropathy evident in clinical and electrophysiological assessments.
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Affiliation(s)
- Masahiro Ando
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Yujiro Higuchi
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan.
| | - Jun-Hui Yuan
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Akiko Yoshimura
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Chikashi Yano
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Takahiro Hobara
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Fumikazu Kojima
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Yu Hiramatsu
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Satoshi Nozuma
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Tomonori Nakamura
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Yusuke Sakiyama
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Akihiro Hashiguchi
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
| | - Yuji Okamoto
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
- Department of Physical Therapy, Kagoshima University of School of Health Sciences, Kagoshima, Japan
| | - Takeshi Matsushige
- Department of Pediatrics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Jun Mitsui
- Department of Precision Medicine Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shoji Tsuji
- Department of Neurology, The University of Tokyo Hospital, Tokyo, Japan
- Institute of Medical Genomics, International University of Health and Welfare, Chiba, Japan
| | - Hiroshi Takashima
- Department of Neurology and Geriatrics, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima City, Kagoshima, 890-8520, Japan
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Benatar M, Robertson J, Andersen PM. Amyotrophic lateral sclerosis caused by SOD1 variants: from genetic discovery to disease prevention. Lancet Neurol 2025; 24:77-86. [PMID: 39706636 DOI: 10.1016/s1474-4422(24)00479-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Revised: 10/19/2024] [Accepted: 11/15/2024] [Indexed: 12/23/2024]
Abstract
Pathogenic variants in the superoxide dismutase 1 (SOD1) gene were the first identified genetic cause of amyotrophic lateral sclerosis (ALS), in 1993. This discovery enabled the development of transgenic rodent models for studying the biology of SOD1 ALS. The understanding that SOD1 ALS is driven by a toxic gain-of-function mutation has led to therapeutic strategies that aim to lower concentrations of SOD1 protein, an endeavour that has been complicated by the phenotypic heterogeneity of SOD1 ALS. The successful development of genetically targeted therapies to reduce SOD1 expression, together with a better understanding of pre-symptomatic disease and the discovery of neurofilament light protein as a susceptibility/risk biomarker that predicts phenoconversion, has ushered in a new era of trials that aim to prevent clinically manifest SOD1 ALS. The 30-year journey from gene discovery to gene therapy has not only uncovered the pathophysiology of SOD1 ALS, but has also facilitated the development of biomarkers that should aid therapy development for all forms of ALS.
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Affiliation(s)
- Michael Benatar
- Department of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Janice Robertson
- University of Toronto, Tanz Centre for Research in Neurodegenerative Diseases, Department of Laboratory Medicine and Pathobiology, Toronto, ON, Canada
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Martinelli I, Mandrioli J, Ghezzi A, Zucchi E, Gianferrari G, Simonini C, Cavallieri F, Valzania F. Multifaceted superoxide dismutase 1 expression in amyotrophic lateral sclerosis patients: a rare occurrence? Neural Regen Res 2025; 20:130-138. [PMID: 38767482 PMCID: PMC11246149 DOI: 10.4103/nrr.nrr-d-23-01904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/18/2024] [Accepted: 02/26/2024] [Indexed: 05/22/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neuromuscular condition resulting from the progressive degeneration of motor neurons in the cortex, brainstem, and spinal cord. While the typical clinical phenotype of ALS involves both upper and lower motor neurons, human and animal studies over the years have highlighted the potential spread to other motor and non-motor regions, expanding the phenotype of ALS. Although superoxide dismutase 1 (SOD1) mutations represent a minority of ALS cases, the SOD1 gene remains a milestone in ALS research as it represents the first genetic target for personalized therapies. Despite numerous single case reports or case series exhibiting extramotor symptoms in patients with ALS mutations in SOD1 (SOD1-ALS), no studies have comprehensively explored the full spectrum of extramotor neurological manifestations in this subpopulation. In this narrative review, we analyze and discuss the available literature on extrapyramidal and non-motor features during SOD1-ALS. The multifaceted expression of SOD1 could deepen our understanding of the pathogenic mechanisms, pointing towards a multidisciplinary approach for affected patients in light of new therapeutic strategies for SOD1-ALS.
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Affiliation(s)
- Ilaria Martinelli
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Clinical and Experimental Medicine Ph.D. Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Jessica Mandrioli
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrea Ghezzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Elisabetta Zucchi
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Giulia Gianferrari
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Cecilia Simonini
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Francesco Cavallieri
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Franco Valzania
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
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8
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Valančius D, Burnytė B, Masaitienė R, Morkūnienė A, Klimašauskienė A. Rapidly Progressing and Early-Onset Forms of Amyotrophic Lateral Sclerosis Caused by a Novel SOD1 Variant in a Lithuanian Family. Neurol Genet 2024; 10:e200217. [PMID: 39611137 PMCID: PMC11604105 DOI: 10.1212/nxg.0000000000200217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 10/01/2024] [Indexed: 11/30/2024]
Abstract
Objectives To describe a novel familial variant of superoxide dismutase 1 (SOD1)-associated amyotrophic lateral sclerosis (ALS) in a Lithuanian family, highlighting its variable progression and implications for treatment inclusion criteria. Methods This study presents the clinical and genetic findings of a family with the novel SOD1 variant, including one member diagnosed with early-onset ALS (onset <40 years) and one with a particularly rapidly progressing course of ALS. Results The SOD1 variant NM_000454.5:c.446T>C, NP_000445.1:p.(Val149Ala) was identified in affected family members and 4 asymptomatic members aged 32-56 years. We present detailed disease course of the affected family members obtained during follow-up. Clinically, this variant is associated with variable disease progression, with the time from symptom onset to death ranging from 5 to 77 months. Discussion The novel SOD1 variant p.Val149Ala in this Lithuanian family causes ALS of variable onset and course, including a case of early-onset ALS and one case of rapidly progressing ALS, necessitating recognition by the scientific community and development of tailored therapeutic approaches.
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Affiliation(s)
- Domantas Valančius
- From the Center of Neurology (D.V., R.M.); Institute of Biomedical Sciences (B.B.), Faculty of Medicine, Vilnius University; and Centre for Medical Genetics (A.M., A.K.), Vilnius University Hospital Santaros Klinikos
| | - Birutė Burnytė
- From the Center of Neurology (D.V., R.M.); Institute of Biomedical Sciences (B.B.), Faculty of Medicine, Vilnius University; and Centre for Medical Genetics (A.M., A.K.), Vilnius University Hospital Santaros Klinikos
| | - Raminta Masaitienė
- From the Center of Neurology (D.V., R.M.); Institute of Biomedical Sciences (B.B.), Faculty of Medicine, Vilnius University; and Centre for Medical Genetics (A.M., A.K.), Vilnius University Hospital Santaros Klinikos
| | - Aušra Morkūnienė
- From the Center of Neurology (D.V., R.M.); Institute of Biomedical Sciences (B.B.), Faculty of Medicine, Vilnius University; and Centre for Medical Genetics (A.M., A.K.), Vilnius University Hospital Santaros Klinikos
| | - Aušra Klimašauskienė
- From the Center of Neurology (D.V., R.M.); Institute of Biomedical Sciences (B.B.), Faculty of Medicine, Vilnius University; and Centre for Medical Genetics (A.M., A.K.), Vilnius University Hospital Santaros Klinikos
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9
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Nishiyama A, Niihori T, Suzuki N, Izumi R, Akiyama T, Kato M, Funayama R, Nakayama K, Warita H, Aoki Y, Aoki M. Updated Genetic Analysis of Japanese Familial ALS Patients Carrying SOD1 Variants Revealed Phenotypic Differences for Common Variants. Neurol Genet 2024; 10:e200196. [PMID: 39502740 PMCID: PMC11537459 DOI: 10.1212/nxg.0000000000200196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 08/14/2024] [Indexed: 11/08/2024]
Abstract
Background and Objectives Amyotrophic lateral sclerosis (ALS) is an adult-onset progressive neurodegenerative disease. Approximately 10% of ALS cases are familial, and more than 20 causative genes have been identified. As we have previously reported, SOD1 variants are the most common causes of familial ALS in Japan. Because antisense oligonucleotides for SOD1-linked ALS are being used in practical applications, the types of variants and the clinical features of patients need to be updated. Methods We consecutively recruited 160 families with familial ALS in Japan. We performed genetic analyses, focusing on SOD1-linked ALS as the most common in our cohort, updated their genotypes, and characterized clinical phenotypes. Results A total of 26 SOD1 variants in 56 patients and 49 families (30.6%) were collected, with the 3 most common (p.His47Arg [the conventional numbering; H46R], p.Leu127Ser [L126S], p.Asn87Ser [N86S]) accounting for 38.8% of all families. We also identified 2 novel variants (p.Ile36Phe [I35F] and p.Asn132Argfs*3 [N131Rfs*3]). The mean age at onset was 48.9 ± 12.2 (mean ± SD) years for all patients with SOD1-linked ALS. Lower limb onset comprised 70% of cases. The mean disease duration was 64.7 ± 82 months, and the median survival was 71.5 months. Some variants led to a relatively homogeneous phenotype, although clinical characteristics differed among types of variants and families. Patients with p.His47Arg (H46R) showed slower progression with lower limb onset and a predominance of lower motor neuron involvement. The p.Leu127Ser (L126S) variant led to varying degrees of progression in heterozygous or homozygous states and presented incomplete penetrance. Intrafamilial phenotypic differences were observed in families carrying p.Asn87Ser (N86S). Four variants (p.Cys7Gly [C6G], p.His44Arg [H43R], p.Leu85Val [L84V], and p.Cys147Arg [C146R]) were found to be associated with rapid disease progression. Discussion The genetic basis of familial ALS, at least for SOD1 variants, still differed by geographic and ethnic background. Understanding these clinical profiles will help optimize evaluation in targeted gene therapy worldwide and benefit efficient diagnosis, leading to precise application in clinical practice.
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Affiliation(s)
- Ayumi Nishiyama
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tetsuya Niihori
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Naoki Suzuki
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Rumiko Izumi
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tetsuya Akiyama
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masaaki Kato
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryo Funayama
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiko Nakayama
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hitoshi Warita
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoko Aoki
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masashi Aoki
- From the Departments of Neurology (A.N., N.S., R.I., T.A., M.K., H.W., M.A.), and Medical Genetics (T.N., R.I., Y.A.), Tohoku University School of Medicine; and Division of Cell Proliferation (R.F., K.N.), United Center for Advanced Research and Translational Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
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10
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Theme 7 Pre-Clinical Therapeutic Strategies. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:197-217. [PMID: 39508670 DOI: 10.1080/21678421.2024.2403304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2024]
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11
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Wiesenfarth M, Forouhideh-Wiesenfarth Y, Elmas Z, Parlak Ö, Weiland U, Herrmann C, Schuster J, Freischmidt A, Müller K, Siebert R, Günther K, Fröhlich E, Knehr A, Simak T, Bachhuber F, Regensburger M, Petri S, Klopstock T, Reilich P, Schöberl F, Schumann P, Körtvélyessy P, Meyer T, Ruf WP, Witzel S, Tumani H, Brenner D, Dorst J, Ludolph AC. Clinical characterization of common pathogenic variants of SOD1-ALS in Germany. J Neurol 2024; 271:6667-6679. [PMID: 39141064 PMCID: PMC11446975 DOI: 10.1007/s00415-024-12564-1] [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: 05/29/2024] [Revised: 07/01/2024] [Accepted: 07/04/2024] [Indexed: 08/15/2024]
Abstract
Pathogenic variants in the Cu/Zn superoxide dismutase (SOD1) gene can be detected in approximately 2% of sporadic and 11% of familial amyotrophic lateral sclerosis (ALS) patients in Europe. We analyzed the clinical phenotypes of 83 SOD1-ALS patients focusing on patients carrying the most frequent (likely) pathogenic variants (R116G, D91A, L145F) in Germany. Moreover, we describe the effect of tofersen treatment on ten patients carrying these variants. R116G patients showed the most aggressive course of disease with a median survival of 22.0 months compared to 198.0 months in D91A and 87.0 months in L145F patients (HR 7.71, 95% CI 2.89-20.58 vs. D91A; p < 0.001 and HR 4.25, 95% CI 1.55-11.67 vs. L145F; p = 0.02). Moreover, R116G patients had the fastest median ALSFRS-R progression rate with 0.12 (IQR 0.07-0.20) points lost per month. Median diagnostic delay was 10.0 months (IQR 5.5-11.5) and therefore shorter compared to 57.5 months (IQR 14.0-83.0) in D91A (p < 0.001) and 21.5 months (IQR 5.8-38.8) in L145F (p = 0.21) carriers. As opposed to D91A carriers (50.0%), 96.2% of R116G (p < 0.001) and 100.0% of L145F (p = 0.04) patients reported a positive family history. During tofersen treatment, all patients showed a reduction of neurofilament light chain (NfL) serum levels, independent of the SOD1 variant. Patients with SOD1-ALS carrying R116G, D91A, or L145F variants show commonalities, but also differences in their clinical phenotype, including a faster progression rate with shorter survival in R116G, and a comparatively benign disease course in D91A carriers.
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Affiliation(s)
| | | | - Zeynep Elmas
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Özlem Parlak
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Ulrike Weiland
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Christine Herrmann
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Joachim Schuster
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Ulm, 89081, Ulm, Germany
| | - Axel Freischmidt
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Kathrin Müller
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, 89081, Ulm, Germany
| | - Reiner Siebert
- Institute of Human Genetics, Ulm University and Ulm University Medical Center, 89081, Ulm, Germany
| | - Kornelia Günther
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Elke Fröhlich
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Antje Knehr
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Tatiana Simak
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Franziska Bachhuber
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Martin Regensburger
- Department of Molecular Neurology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054, Erlangen, Germany
- Deutsches Zentrum Immuntherapie (DZI), University Hospital Erlangen, 91054, Erlangen, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Thomas Klopstock
- Department of Neurology with Friedrich-Baur-Institute, LMU University Hospital, LMU Munich, 80336, Munich, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Munich, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), 81377, Munich, Germany
| | - Peter Reilich
- Department of Neurology with Friedrich-Baur-Institute, LMU University Hospital, LMU Munich, 80336, Munich, Germany
| | - Florian Schöberl
- Department of Neurology with Friedrich-Baur-Institute, LMU University Hospital, LMU Munich, 80336, Munich, Germany
| | - Peggy Schumann
- Ambulanzpartner Soziotechnologie GmbH, 13353, Berlin, Germany
| | - Peter Körtvélyessy
- Department of Neurology, Center for ALS and other Motor Neuron Disorders, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, 13353, Berlin, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Magdeburg, 39120, Magdeburg, Germany
| | - Thomas Meyer
- Department of Neurology, Center for ALS and other Motor Neuron Disorders, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, 13353, Berlin, Germany
| | - Wolfgang P Ruf
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Simon Witzel
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
| | - Hayrettin Tumani
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Ulm, 89081, Ulm, Germany
| | - David Brenner
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Ulm, 89081, Ulm, Germany
| | - Johannes Dorst
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Ulm, 89081, Ulm, Germany
| | - Albert C Ludolph
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Ulm, 89081, Ulm, Germany
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12
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Everett WH, Bucelli RC. Tofersen for SOD1 ALS. Neurodegener Dis Manag 2024; 14:149-160. [PMID: 39330700 PMCID: PMC11524200 DOI: 10.1080/17582024.2024.2402216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 09/05/2024] [Indexed: 09/28/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative condition affecting the motor system. The heterogenous nature of ALS complicates trial design. Genetic forms of ALS present an opportunity to intervene in a less heterogeneous population. ALS associated with gain of function mutations in SOD1 make 'knock-down' strategies an attractive therapeutic approach. Tofersen, an antisense oligonucleotide that reduces expression of SOD1 via RNAase mediated degradation of SOD1 mRNA, has shown robust effects on ALS biomarkers. While a Phase III trial of tofersen failed to meet its primary end point, open label extension data suggests that tofersen slows progression of SOD1 ALS.
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Affiliation(s)
- William H Everett
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO63110, USA
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH43210, USA
| | - Robert C Bucelli
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO63110, USA
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13
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Hang Z, Zhou L, Bian X, Liu G, Cui F, Du H, Wen Y. Potential application of aptamers combined with DNA nanoflowers in neurodegenerative diseases. Ageing Res Rev 2024; 100:102444. [PMID: 39084322 DOI: 10.1016/j.arr.2024.102444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/09/2024] [Accepted: 07/28/2024] [Indexed: 08/02/2024]
Abstract
The efficacy of neurotherapeutic drugs hinges on their ability to traverse the blood-brain barrier and access the brain, which is crucial for treating or alleviating neurodegenerative diseases (NDs). Given the absence of definitive cures for NDs, early diagnosis and intervention become paramount in impeding disease progression. However, conventional therapeutic drugs and existing diagnostic approaches must meet clinical demands. Consequently, there is a pressing need to advance drug delivery systems and early diagnostic methods tailored for NDs. Certain aptamers endowed with specific functionalities find widespread utility in the targeted therapy and diagnosis of NDs. DNA nanoflowers (DNFs), distinctive flower-shaped DNA nanomaterials, are intricately self-assembled through rolling ring amplification (RCA) of circular DNA templates. Notably, imbuing DNFs with diverse functionalities becomes seamlessly achievable by integrating aptamer sequences with specific functions into RCA templates, resulting in a novel nanomaterial, aptamer-bound DNFs (ADNFs) that amalgamates the advantageous features of both components. This article delves into the characteristics and applications of aptamers and DNFs, exploring the potential or application of ADNFs in drug-targeted delivery, direct treatment, early diagnosis, etc. The objective is to offer prospective ideas for the clinical treatment or diagnosis of NDs, thereby contributing to the ongoing efforts in this critical field.
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Affiliation(s)
- Zhongci Hang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Liping Zhou
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
| | - Xiaochun Bian
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Guotao Liu
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Fenghe Cui
- Department of Anesthesiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, No. 20 Yuhuangdingdong Road, Zhifu District, Yantai, Shandong 264000, China.
| | - Hongwu Du
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
| | - Yongqiang Wen
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Daxing Research Institute, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
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14
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Jiang Q, Lin J, Wei Q, Yang T, Hou Y, Zhang L, Ou R, Xiao Y, Wang S, Zheng X, Li C, Shang H. Amyotrophic lateral sclerosis patients with various gene mutations show diverse motor phenotypes and survival in China. J Med Genet 2024; 61:839-846. [PMID: 38886047 DOI: 10.1136/jmg-2024-109909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 06/04/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder characterised by progressive degeneration of motor neurons. Genetic factors have a substantial impact on ALS. Therefore, this study aimed to explore the correlation between genotype (SOD1, TARDBP, FUS, C9orf72) and phenotype in ALS. METHODS Genetic analysis was performed on 2038 patients with ALS, among which 1696 patients with sporadic ALS (SALS) as controls for genotype-phenotype analysis, and 1602 SALS as controls for survival analysis. Logistic regression and Cox proportional hazards models were used for statistical analysis. RESULTS A total of 172 patients with ALS with the gene mutations were included in the statistical analysis (SOD1, n=65; FUS, n=43; TARDBP, n=27; C9orf72, n=37). SOD1 mutations were more frequent in flail leg phenotype (OR 7.317, p=0.001) and less in bulbar phenotype (OR 0.222, p=0.038). C9orf72 expansions exhibited higher frequency in bulbar phenotype (OR 2.770, p=0.008). SOD1 and FUS mutations were significantly associated with earlier age of onset (HR 2.039, p<0.001; HR 1.762, p=0.001). The patients with SOD1 mutations, C9orf72 expansions and those carrying pathogenic FUS mutations had significantly increased death risk (HR 2.217, p<0.001; HR 1.694, p=0.008; HR 1.652, p=0.036). The increased risk of death in ALS with C9orf72 expansions was significant in females (HR 2.419, p=0.014) but not in males (HR 1.442, p=0.128). CONCLUSION Our study revealed distinct motor phenotypic tendencies in patients with ALS with different genotypes, indicating variations in the vulnerability of motor neurons during the disease's progression. Furthermore, we made novel discoveries regarding survival of different gene mutations, warranting further investigation.
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Affiliation(s)
- Qirui Jiang
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Junyu Lin
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Qianqian Wei
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Tianmi Yang
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Yanbing Hou
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Lingyu Zhang
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Ruwei Ou
- Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Yi Xiao
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Shichan Wang
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Xiaoting Zheng
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Chunyu Li
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Huifang Shang
- Department of Neurology, Sichuan University West China Hospital, Chengdu, Sichuan, China
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15
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Tabuchi R, Momozawa Y, Hayashi Y, Noma H, Ichijo H, Fujisawa T. SoDCoD: a comprehensive database of Cu/Zn superoxide dismutase conformational diversity caused by ALS-linked gene mutations and other perturbations. Database (Oxford) 2024; 2024:0. [PMID: 39126203 PMCID: PMC11315765 DOI: 10.1093/database/baae064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 05/05/2024] [Accepted: 07/09/2024] [Indexed: 08/12/2024]
Abstract
A structural alteration in copper/zinc superoxide dismutase (SOD1) is one of the common features caused by amyotrophic lateral sclerosis (ALS)-linked mutations. Although a large number of SOD1 variants have been reported in ALS patients, the detailed structural properties of each variant are not well summarized. We present SoDCoD, a database of superoxide dismutase conformational diversity, collecting our comprehensive biochemical analyses of the structural changes in SOD1 caused by ALS-linked gene mutations and other perturbations. SoDCoD version 1.0 contains information about the properties of 188 types of SOD1 mutants, including structural changes and their binding to Derlin-1, as well as a set of genes contributing to the proteostasis of mutant-like wild-type SOD1. This database provides valuable insights into the diagnosis and treatment of ALS, particularly by targeting conformational alterations in SOD1. Database URL: https://fujisawagroup.github.io/SoDCoDweb/.
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Affiliation(s)
- Riko Tabuchi
- Laboratory of Cell Signaling, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yurika Momozawa
- Laboratory of Cell Signaling, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yuki Hayashi
- Laboratory of Cell Signaling, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Hisashi Noma
- Department of Data Science, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan
| | - Hidenori Ichijo
- Laboratory of Cell Signaling, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Takao Fujisawa
- Laboratory of Cell Signaling, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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16
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Xiong W, Lu L, Li J. Long non-coding RNAs with essential roles in neurodegenerative disorders. Neural Regen Res 2024; 19:1212-1220. [PMID: 37905867 PMCID: PMC11467921 DOI: 10.4103/1673-5374.385850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/16/2023] [Accepted: 08/04/2023] [Indexed: 11/02/2023] Open
Abstract
ABSTRACT Recently, with the advent of high-resolution and high-throughput sequencing technologies, an increasing number of long non-coding RNAs (lncRNAs) have been found to be involved in the regulation of neuronal function in the central nervous system with specific spatiotemporal patterns, across different neurodegenerative diseases. However, the underlying mechanisms of lncRNAs during neurodegeneration remain poorly understood. This review provides an overview of the current knowledge of the biology of lncRNAs and focuses on introducing the latest identified roles, regulatory mechanisms, and research status of lncRNAs in Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. Finally, this review discusses the potential values of lncRNAs as diagnostic biomarkers and therapeutic targets for neurodegenerative diseases, hoping to provide broader implications for developing effective treatments.
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Affiliation(s)
- Wandi Xiong
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, the Chinese Academy of Sciences, Kunming, Yunnan Province, China
| | - Lin Lu
- Tsinghua-Peking Center for Life Sciences, Beijing, China
- National Institute on Drug Dependence, Peking University, Beijing, China
- PKU/McGovern Institute for Brain Research, Peking University, Beijing, China
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China
| | - Jiali Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, the Chinese Academy of Sciences, Kunming, Yunnan Province, China
- National Institute on Drug Dependence, Peking University, Beijing, China
- PKU/McGovern Institute for Brain Research, Peking University, Beijing, China
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17
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Huang M, Liu YU, Yao X, Qin D, Su H. Variability in SOD1-associated amyotrophic lateral sclerosis: geographic patterns, clinical heterogeneity, molecular alterations, and therapeutic implications. Transl Neurodegener 2024; 13:28. [PMID: 38811997 PMCID: PMC11138100 DOI: 10.1186/s40035-024-00416-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/17/2024] [Indexed: 05/31/2024] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by progressive loss of motor neurons, resulting in global health burden and limited post-diagnosis life expectancy. Although primarily sporadic, familial ALS (fALS) cases suggest a genetic basis. This review focuses on SOD1, the first gene found to be associated with fALS, which has been more recently confirmed by genome sequencing. While informative, databases such as ALSoD and STRENGTH exhibit regional biases. Through a systematic global examination of SOD1 mutations from 1993 to 2023, we found different geographic distributions and clinical presentations. Even though different SOD1 variants are expressed at different protein levels and have different half-lives and dismutase activities, these alterations lead to loss of function that is not consistently correlated with disease severity. Gain of function of toxic aggregates of SOD1 resulting from mutated SOD1 has emerged as one of the key contributors to ALS. Therapeutic interventions specifically targeting toxic gain of function of mutant SOD1, including RNA interference and antibodies, show promise, but a cure remains elusive. This review provides a comprehensive perspective on SOD1-associated ALS and describes molecular features and the complex genetic landscape of SOD1, highlighting its importance in determining diverse clinical manifestations observed in ALS patients and emphasizing the need for personalized therapeutic strategies.
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Affiliation(s)
- Miaodan Huang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, Department of Pharmaceutical Sciences, Faculty of Health Sciences, University of Macau, Macao, China
| | - Yong U Liu
- Laboratory for Neuroimmunology in Health and Diseases, Guangzhou First People's Hospital School of Medicine, South China University of Technology, Guangzhou, China
| | - Xiaoli Yao
- Department of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, China.
| | - Dajiang Qin
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510799, China.
| | - Huanxing Su
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, Department of Pharmaceutical Sciences, Faculty of Health Sciences, University of Macau, Macao, China.
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18
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Al-Chalabi A, Andrews J, Farhan S. Recent advances in the genetics of familial and sporadic ALS. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 176:49-74. [PMID: 38802182 DOI: 10.1016/bs.irn.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
ALS shows complex genetic inheritance patterns. In about 5% to 10% of cases, there is a family history of ALS or a related condition such as frontotemporal dementia in a first or second degree relative, and for about 80% of such people a pathogenic gene variant can be identified. Such variants are also seen in people with no family history because of factor influencing the expression of genes, such as age. Genetic susceptibility factors also contribute to risk, and the heritability of ALS is between 40% and 60%. The genetic variants influencing ALS risk include single base changes, repeat expansions, copy number variants, and others. Here we review what is known of the genetic landscape and architecture of ALS.
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Affiliation(s)
- Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King's College London, London, United Kingdom.
| | - Jinsy Andrews
- Department of Neurology, Columbia University, New York, NY, United States
| | - Sali Farhan
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, Montreal, QC, Canada; Department of Human Genetics, Montreal Neurological Institute-Hospital, Montreal, QC, Canada
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Dai T, Lou J, Kong D, Li J, Ren Q, Chen Y, Sun S, Yun Y, Sun X, Yang Y, Shao K, Li W, Zhao Y, Meng X, Yan C, Lin P, Liu S. Choroid plexus enlargement in amyotrophic lateral sclerosis patients and its correlation with clinical disability and blood-CSF barrier permeability. Fluids Barriers CNS 2024; 21:36. [PMID: 38632611 PMCID: PMC11025206 DOI: 10.1186/s12987-024-00536-6] [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: 01/25/2024] [Accepted: 04/02/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Using in vivo neuroimaging techniques, growing evidence has demonstrated that the choroid plexus (CP) volume is enlarged in patients with several neurodegenerative diseases, including Alzheimer's disease and Parkinson's disease. However, although animal and postmortem findings suggest that CP abnormalities are likely important pathological mechanisms underlying amyotrophic lateral sclerosis (ALS), the third most common neurodegenerative disease, no available study has been conducted to thoroughly assess CP abnormalities and their clinical relevance in vivo in ALS patients to date. Thus, we aimed to determine whether in vivo CP enlargement may occur in ALS patients. We also aimed to identify the relationships of CP volume with clinical disabilities and blood-CSF barrier (BCSFB) permeability in ALS patients. METHODS In this retrospective study, based on structural MRI data, CP volume was assessed using a Gaussian mixture model and underwent further manual correction in 155 ALS patients and 105 age- and sex-matched HCs from October 2021 to April 2023. The ALS Functional Rating Scale-Revised (ALSFRS-R) was used to assess clinical disability. The CSF/serum albumin quotient (Qalb) was used to assess BCSFB permeability. Moreover, all the ALS patients completed genetic testing, and according to genetic testing, the ALS patients were further divided into genetic ALS subgroup and sporadic ALS subgroup. RESULTS We found that compared with HCs, ALS patients had a significantly higher CP volume (p < 0.001). Moreover, compared with HCs, CP volume was significantly increased in both ALS patients with and without known genetic mutations after family-wise error correction (p = 0.006 and p < 0.001, respectively), while there were no significant differences between the two ALS groups. Furthermore, the CP volume was significantly correlated with the ALSFRS-r score (r = -0.226; p = 0.005) and the Qalb (r = 0.479; p < 0.001) in ALS patients. CONCLUSION Our study first demonstrates CP enlargement in vivo in ALS patients, and continues to suggest an important pathogenetic role for CP abnormalities in ALS. Moreover, assessing CP volume is likely a noninvasive and easy-to-implement approach for screening BCSFB dysfunction in ALS patients.
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Affiliation(s)
- Tingjun Dai
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
| | - Jianwei Lou
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
| | - Deyuan Kong
- School of Clinical Medicine, Shandong Second Medical University, Weifang, China
| | - Jinyu Li
- Department of Neurology, Xiamen Branch, Zhongshan Hospital, Fudan University, 361015, Xiamen, China
| | - Qingguo Ren
- Department of Radiology, Cheeloo College of Medicine, Qilu Hospital (Qingdao), Shandong University, Qingdao, China
| | - Yujing Chen
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
| | - Sujuan Sun
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
| | - Yan Yun
- Department of Radiology, Cheeloo College of Medicine, Qilu Hospital, Shandong University, Jinan, China
| | - Xiaohan Sun
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
| | - Yiru Yang
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Kai Shao
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
- Department of Clinical Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Wei Li
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
| | - Yuying Zhao
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
| | - Xiangshui Meng
- Department of Radiology, Cheeloo College of Medicine, Qilu Hospital (Qingdao), Shandong University, Qingdao, China
| | - Chuanzhu Yan
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China
- Department of Clinical Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Pengfei Lin
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China.
| | - Shuangwu Liu
- Research Institute of Neuromuscular and Neurodegenerative Disease, Department of Neurology, Qilu Hospital, Shandong University, West Wenhua Street No.107, 250012, Jinan, China.
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Libonati L, Cambieri C, Colavito D, Moret F, D'Andrea E, Del Giudice E, Leon A, Inghilleri M, Ceccanti M. Genetics screening in an Italian cohort of patients with Amyotrophic Lateral Sclerosis: the importance of early testing and its implication. J Neurol 2024; 271:1921-1936. [PMID: 38112783 DOI: 10.1007/s00415-023-12142-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease with an elusive etiology. While environmental factors have been considered, familial ALS cases have raised the possibility of genetic involvement. This genetic connection is increasingly evident, even in patients with sporadic ALS. We allowed access to the genetic test to all patients attending our clinic to identify the prevalence and the role of genetic variants in the development of the disease and to identify patients with potentially treatable forms of the disease. MATERIALS AND METHODS 194 patients with probable or definite ALS, were enrolled. A comprehensive genetic testing was performed, including sequencing all exons of the SOD1 gene and testing for hexanucleotide intronic repeat expansions (G4C2) in the C9orf72 gene using fluorescent repeat-primed PCR (RP-PCR). Whole Exome NGS Sequencing (WES) was performed, followed by an in silico multigene panel targeting neuromuscular diseases, spastic paraplegia, and motor distal neuropathies. We conducted statistical analyses to compare different patient groups. RESULTS Clinically significant pathogenetic variants were detected in 14.43% of cases. The highest prevalence of pathogenetic variants was observed in fALS patients, but a substantial proportion of sALS patients also displayed at least one variant, either pathogenetic or of uncertain significance (VUS). The most observed pathogenetic variant was the expansion of the C9orf72 gene, which was associated with a shorter survival. SOD1 variants were found in 1.6% of fALS and 2.5% of sALS patients. DISCUSSION The study reveals a significant number of ALS patients carrying pathogenic or likely pathogenic variants, with a higher prevalence in familial ALS cases. The expansion of the C9orf72 gene emerges as the most common genetic cause of ALS, affecting familial and sporadic cases. Additionally, SOD1 variants are detected at an unexpectedly higher rate, even in patients without a familial history of ALS, underscoring the crucial role of genetic testing in treatment decisions and potential participation in clinical trials. We also investigated variants in genes such as TARDBP, FUS, NEK1, TBK1, and DNAJC7, shedding light on their potential involvement in ALS. These findings underscore the complexity of interpreting variants of uncertain significance (VUS) and their ethical implications in patient communication and genetic counseling for patients' relatives. CONCLUSION This study emphasizes the diverse genetic basis of ALS and advocates for integrating comprehensive genetic testing into diagnostic protocols. The evolving landscape of genetic therapies requires identifying all eligible patients transcending traditional familial boundaries. The presence of VUS highlights the multifaceted nature of ALS genetics, prompting further exploration of complex interactions among genetic variants, environmental factors, and disease development.
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Affiliation(s)
- Laura Libonati
- Department of Human Neurosciences, Rare Neuromuscular Diseases Centre, Sapienza University, Viale Dell'Università 30, 00185, Rome, Italy.
| | - Chiara Cambieri
- Department of Human Neurosciences, Rare Neuromuscular Diseases Centre, Sapienza University, Viale Dell'Università 30, 00185, Rome, Italy
| | - Davide Colavito
- R & I Genetics, C.So Stati Uniti 4int.F, 35127, Padua, Italy
| | - Federica Moret
- Department of Human Neurosciences, Rare Neuromuscular Diseases Centre, Sapienza University, Viale Dell'Università 30, 00185, Rome, Italy
| | - Edoardo D'Andrea
- Department of Human Neurosciences, Rare Neuromuscular Diseases Centre, Sapienza University, Viale Dell'Università 30, 00185, Rome, Italy
| | | | - Alberta Leon
- R & I Genetics, C.So Stati Uniti 4int.F, 35127, Padua, Italy
| | - Maurizio Inghilleri
- Department of Human Neurosciences, Rare Neuromuscular Diseases Centre, Sapienza University, Viale Dell'Università 30, 00185, Rome, Italy
| | - Marco Ceccanti
- Department of Human Neurosciences, Rare Neuromuscular Diseases Centre, Sapienza University, Viale Dell'Università 30, 00185, Rome, Italy
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He D, Liu Y, Dong S, Shen D, Yang X, Hao M, Yin X, He X, Li Y, Wang Y, Liu M, Wang J, Chen X, Cui L. The prognostic value of systematic genetic screening in amyotrophic lateral sclerosis patients. J Neurol 2024; 271:1385-1396. [PMID: 37980296 DOI: 10.1007/s00415-023-12079-1] [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: 09/06/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with complex genetic architecture. Emerging evidence has indicated comorbidity between ALS and autoimmune conditions, suggesting a potential shared genetic basis. The objective of this study is to assess the prognostic value of systematic screening for rare deleterious mutations in genes associated with ALS and aberrant inflammatory responses. METHODS A discovery cohort of 494 patients and a validation cohort of 69 patients were analyzed in this study, with population-matched healthy subjects (n = 4961) served as controls. Whole exome sequencing (WES) was performed to identify rare deleterious variants in 50 ALS genes and 1177 genes associated with abnormal inflammatory responses. Genotype-phenotype correlation was assessed, and an integrative prognostic model incorporating genetic and clinical factors was constructed. RESULTS In the discovery cohort, 8.1% of patients carried confirmed ALS variants, and an additional 15.2% of patients carried novel ALS variants. Gene burden analysis revealed 303 immune-implicated genes with enriched rare variants, and 13.4% of patients harbored rare deleterious variants in these genes. Patients with ALS variants exhibited a more rapid disease progression (HR 2.87 [95% CI 2.03-4.07], p < 0.0001), while no significant effect was observed for immune-implicated variants. The nomogram model incorporating genetic and clinical information demonstrated improved accuracy in predicting disease outcomes (C-index, 0.749). CONCLUSION Our findings enhance the comprehension of the genetic basis of ALS within the Chinese population. It also appears that rare deleterious mutations occurring in immune-implicated genes exert minimal influence on the clinical trajectories of ALS patients.
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Affiliation(s)
- Di He
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Dongcheng District, Beijing, China
| | - Yining Liu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Siqi Dong
- Department of Neurology, Huashan Hospital and Institute of Neurology, National Center for Neurological Disorders, Fudan University, Shanghai, China
| | - Dongchao Shen
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Dongcheng District, Beijing, China
| | - Xunzhe Yang
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Dongcheng District, Beijing, China
| | - Meng Hao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Xianhong Yin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Xinyi He
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Yi Li
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Yi Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China
| | - Mingsheng Liu
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Dongcheng District, Beijing, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China.
| | - Xiangjun Chen
- Department of Neurology, Huashan Hospital and Institute of Neurology, National Center for Neurological Disorders, Fudan University, Shanghai, China.
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China.
| | - Liying Cui
- Department of Neurology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Dongcheng District, Beijing, China.
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Domi T, Schito P, Sferruzza G, Russo T, Pozzi L, Agosta F, Carrera P, Riva N, Filippi M, Quattrini A, Falzone YM. Unveiling the SOD1-mediated ALS phenotype: insights from a comprehensive meta-analysis. J Neurol 2024; 271:1342-1354. [PMID: 37930481 DOI: 10.1007/s00415-023-12074-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/18/2023] [Accepted: 10/18/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND AND OBJECTIVES Amyotrophic lateral sclerosis associated with mutations in SOD1 (SOD1-ALS) might be susceptible to specific treatment. The aim of the study is to outline the clinical features of SOD1-ALS patients by comparing them to patients without ALS major gene variants and patients with variants in other major ALS genes. Defining SOD1-ALS phenotype may assist clinicians in identifying patients who should be prioritized for genetic testing. METHODS We performed an extensive literature research including original studies which reported the clinical features of SOD1-ALS and at least one of the following patient groups: C9ORF72 hexanucleotide repeat expansion (C9-ALS), TARDBP (TARDBP-ALS), FUS (FUS-ALS) or patients without a positive test for a major-ALS gene (N-ALS). A random effects meta-analytic model was applied to clinical data extracted encompassing sex, site and age of onset. To reconstruct individual patient survival data, the published Kaplan-Meier curves were digitized. Data were measured as odds ratio (OR) or standardized mean difference (SMD) as appropriate. Median survival was compared between groups. RESULTS Twenty studies met the inclusion criteria. We identified 721 SOD1-ALS, 470 C9-ALS, 183 TARDBP-ALS, 113 FUS-ALS and 2824 N-ALS. SOD1-ALS showed a higher rate of spinal onset compared with N-ALS and C9-ALS (OR = 4.85, 95% CI = 3.04-7.76; OR = 10.47, 95% CI = 4.32-27.87) and an earlier onset compared with N-ALS (SMD = - 0.45, 95% CI = - 0.72 to - 0.18). SOD1-ALS had a similar survival compared with N-ALS (p = 0.14), a longer survival compared with C9-ALS (p < 0.01) and FUS-ALS (p = 0.019) and a shorter survival compared with TARDBP-ALS (p < 0.01). DISCUSSION This study indicates the presence of a specific SOD1-ALS phenotype. Insights in SOD1-ALS clinical features are important in genetic counseling, disease prognosis and support patients' stratification in clinical trials.
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Affiliation(s)
- Teuta Domi
- Experimental Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paride Schito
- Experimental Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Giacomo Sferruzza
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Tommaso Russo
- Experimental Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Laura Pozzi
- Experimental Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Agosta
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neuroimaging Research Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Carrera
- Unit of Genomics for Human Disease Diagnosis, Division of Genetics and Cell Biology, Laboratory of Clinical Molecular Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nilo Riva
- 3rd Neurology Unit and Motor Neuron Disease Centre, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Neuroimaging Research Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
| | - Angelo Quattrini
- Experimental Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Yuri Matteo Falzone
- Experimental Neuropathology Unit, Institute of Experimental Neurology (INSPE), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
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Marriott H, Kabiljo R, Hunt GP, Khleifat AA, Jones A, Troakes C, Pfaff AL, Quinn JP, Koks S, Dobson RJ, Schwab P, Al-Chalabi A, Iacoangeli A. Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data. Acta Neuropathol Commun 2023; 11:208. [PMID: 38129934 PMCID: PMC10734072 DOI: 10.1186/s40478-023-01686-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/10/2023] [Indexed: 12/23/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease landscapes. However, lack of independent validation in different populations and tissue samples have greatly limited their use in clinical and research settings. We overcame these issues by performing hierarchical clustering on the 5000 most variably expressed autosomal genes from motor cortex expression data of people with sporadic ALS from the KCL BrainBank (N = 112). Three molecular phenotypes linked to ALS pathogenesis were identified: synaptic and neuropeptide signalling, oxidative stress and apoptosis, and neuroinflammation. Cluster validation was achieved by applying linear discriminant analysis models to cases from TargetALS US motor cortex (N = 93), as well as Italian (N = 15) and Dutch (N = 397) blood expression datasets, for which there was a high assignment probability (80-90%) for each molecular subtype. The ALS and motor cortex specificity of the expression signatures were tested by mapping KCL BrainBank controls (N = 59), and occipital cortex (N = 45) and cerebellum (N = 123) samples from TargetALS to each cluster, before constructing case-control and motor cortex-region logistic regression classifiers. We found that the signatures were not only able to distinguish people with ALS from controls (AUC 0.88 ± 0.10), but also reflect the motor cortex-based disease process, as there was perfect discrimination between motor cortex and the other brain regions. Cell types known to be involved in the biological processes of each molecular phenotype were found in higher proportions, reinforcing their biological interpretation. Phenotype analysis revealed distinct cluster-related outcomes in both motor cortex datasets, relating to disease onset and progression-related measures. Our results support the hypothesis that different mechanisms underpin ALS pathogenesis in subgroups of patients and demonstrate potential for the development of personalised treatment approaches. Our method is available for the scientific and clinical community at https://alsgeclustering.er.kcl.ac.uk .
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Affiliation(s)
- Heather Marriott
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Renata Kabiljo
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Guy P Hunt
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Perron Institute for Neurological and Translational Science, Nedlands, WA, 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
| | - Ashley Jones
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
| | - Claire Troakes
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- MRC London Neurodegenerative Diseases Brain Bank, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Abigail L Pfaff
- Perron Institute for Neurological and Translational Science, Nedlands, WA, 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA, 6150, Australia
| | - John P Quinn
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3BX, UK
| | - Sulev Koks
- Perron Institute for Neurological and Translational Science, Nedlands, WA, 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Richard J Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- NIHR Biomedical Research Centre, University College London Hospitals NHS Foundation Trust, London, UK
| | - Patrick Schwab
- GlaxoSmithKline, Artificial Intelligence and Machine Learning, Durham, NC, USA
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK
- King's College Hospital, London, SE5 9RS, UK
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, London, SE5 9NU, UK.
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- NIHR Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
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24
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Martinelli I, Ghezzi A, Zucchi E, Gianferrari G, Ferri L, Moglia C, Manera U, Solero L, Vasta R, Canosa A, Grassano M, Brunetti M, Mazzini L, De Marchi F, Simonini C, Fini N, Vinceti M, Pinti M, Chiò A, Calvo A, Mandrioli J. Predictors for progression in amyotrophic lateral sclerosis associated to SOD1 mutation: insight from two population-based registries. J Neurol 2023; 270:6081-6092. [PMID: 37668704 DOI: 10.1007/s00415-023-11963-0] [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: 06/07/2023] [Revised: 08/19/2023] [Accepted: 08/21/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Uncovering distinct features and trajectories of amyotrophic lateral sclerosis (ALS) associated with SOD1 mutations (SOD1-ALS) can provide valuable insights for patient' counseling and stratification for trials, and interventions timing. Our study aims to pinpoint distinct clinical characteristics of SOD1-ALS by delving into genotype-phenotype correlations and factors that potentially impact disease progression. METHODS This is a retrospective observational study of a SOD1-ALS cohort from two Italian registers situated in the regions of Emilia-Romagna, Piedmont and Valle d'Aosta. RESULTS Out of 2204 genotyped ALS patients, 2.5% carried SOD1 mutations, with a M:F ratio of 0.83. SOD1-ALS patients were younger, and more frequently reported a family history of ALS and/or FTD. SOD1-ALS had a longer survival compared to patients without ALS-associated gene mutations. However, here was considerable variability in survival across distinct SOD1 mutations, with an average survival of less than a year for the L39V, G42S, G73S, D91N mutations. Among SOD1-ALS, multivariate analysis showed that, alongside established clinical prognostic factors such as advanced age at onset and high progression rate at diagnosis, mutations located in exon 2 or within highly conserved gene positions predicted worse survival. Conversely, among comorbidities, cancer history was independently associated with longer survival. INTERPRETATION Within the context of an overall slower disease, SOD1-ALS exhibits some degree of heterogeneity linked to the considerable genetic diversity arising from the multitude of potential mutations sites and specific clinical prognostic factors, including cancer history. Revealing the factors that modulate the phenotypic heterogeneity of SOD1-ALS could prove advantageous in improving the efficacy of upcoming therapeutic approaches.
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Affiliation(s)
- Ilaria Martinelli
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Viale Pietro Giardini, 1355, 41126, Modena, Italy
- Clinical and Experimental Medicine Ph.D. Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Andrea Ghezzi
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Elisabetta Zucchi
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Viale Pietro Giardini, 1355, 41126, Modena, Italy.
- Neuroscience PhD Program, University of Modena and Reggio Emilia, Modena, Italy.
| | - Giulia Gianferrari
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Viale Pietro Giardini, 1355, 41126, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Laura Ferri
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Viale Pietro Giardini, 1355, 41126, Modena, Italy
- Neuroscience PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Cristina Moglia
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
| | - Umberto Manera
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
| | - Luca Solero
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
| | - Rosario Vasta
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
| | - Antonio Canosa
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
- SC Neurologia 1U, AOU Città della Salute e della Scienza of Torino, Turin, Italy
| | - Maurizio Grassano
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
- SC Neurologia 1U, AOU Città della Salute e della Scienza of Torino, Turin, Italy
| | - Maura Brunetti
- SC Neurologia 1U, AOU Città della Salute e della Scienza of Torino, Turin, Italy
| | - Letizia Mazzini
- Neurology Unit, ALS Center, AOU Maggiore della Carità and University of Piemonte Orientale, Novara, Italy
| | - Fabiola De Marchi
- Neurology Unit, ALS Center, AOU Maggiore della Carità and University of Piemonte Orientale, Novara, Italy
| | - Cecilia Simonini
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Viale Pietro Giardini, 1355, 41126, Modena, Italy
| | - Nicola Fini
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Viale Pietro Giardini, 1355, 41126, Modena, Italy
| | - Marco Vinceti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Science of Public Health, Research Centre in Environmental, Genetic and Nutritional Epidemiology, University of Modena and Reggio Emilia, Modena, Italy
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Marcello Pinti
- Department of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Adriano Chiò
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
- SC Neurologia 1U, AOU Città della Salute e della Scienza of Torino, Turin, Italy
| | - Andrea Calvo
- Department of Neuroscience "Rita Levi Montalcini", ALS Centre, University of Torino, Turin, Italy
- SC Neurologia 1U, AOU Città della Salute e della Scienza of Torino, Turin, Italy
| | - Jessica Mandrioli
- Department of Neurosciences, Azienda Ospedaliero Universitaria di Modena, Viale Pietro Giardini, 1355, 41126, Modena, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
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25
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Lombardi M, Corrado L, Piola B, Comi C, Cantello R, D’Alfonso S, Mazzini L, De Marchi F. Variability in Clinical Phenotype in TARDBP Mutations: Amyotrophic Lateral Sclerosis Case Description and Literature Review. Genes (Basel) 2023; 14:2039. [PMID: 38002982 PMCID: PMC10671725 DOI: 10.3390/genes14112039] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/26/2023] Open
Abstract
Mutations in the 43 kDa transactive-response (TAR)-DNA-binding protein (TARDBP) are associated with 2-5% of familial Amyotrophic Lateral Sclerosis (ALS) cases. TAR DNA-Binding Protein 43 (TDP-43) is an RNA/DNA-binding protein involved in several cellular mechanisms (e.g., transcription, pre-mRNA processing, and splicing). Many ALS-linked TARDBP mutations have been described in the literature, but few phenotypic data on monogenic TARDBP-mutated ALS are available. In this paper, (1) we describe the clinical features of ALS patients carrying mutations in the TARDBP gene evaluated at the Tertiary ALS Center at Maggiore della Carità University Hospital, Novara, Italy, from 2010 to 2020 and (2) present the results of our review of the literature on this topic, analyzing data obtained for 267 patients and highlighting their main clinical and demographic features.
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Affiliation(s)
- Michele Lombardi
- ALS Center, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy; (M.L.); (R.C.); (L.M.)
| | - Lucia Corrado
- Department of Health Sciences, University of Piemonte Orientale, 28100 Novara, Italy; (L.C.); (B.P.); (S.D.)
| | - Beatrice Piola
- Department of Health Sciences, University of Piemonte Orientale, 28100 Novara, Italy; (L.C.); (B.P.); (S.D.)
| | - Cristoforo Comi
- Neurology Unit, S. Andrea Hospital, Department of Translational Medicine, University of Piemonte Orientale, 13100 Vercelli, Italy;
| | - Roberto Cantello
- ALS Center, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy; (M.L.); (R.C.); (L.M.)
| | - Sandra D’Alfonso
- Department of Health Sciences, University of Piemonte Orientale, 28100 Novara, Italy; (L.C.); (B.P.); (S.D.)
| | - Letizia Mazzini
- ALS Center, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy; (M.L.); (R.C.); (L.M.)
| | - Fabiola De Marchi
- ALS Center, Neurology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy; (M.L.); (R.C.); (L.M.)
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26
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Kalia M, Miotto M, Ness D, Opie-Martin S, Spargo TP, Di Rienzo L, Biagini T, Petrizzelli F, Al Khleifat A, Kabiljo R, Mazza T, Ruocco G, Milanetti E, Dobson RJB, Al-Chalabi A, Iacoangeli A. Molecular dynamics analysis of superoxide dismutase 1 mutations suggests decoupling between mechanisms underlying ALS onset and progression. Comput Struct Biotechnol J 2023; 21:5296-5308. [PMID: 37954145 PMCID: PMC10637862 DOI: 10.1016/j.csbj.2023.09.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 09/15/2023] [Accepted: 09/15/2023] [Indexed: 11/14/2023] Open
Abstract
Mutations in the superoxide dismutase 1 (SOD1) gene are the second most common known cause of ALS. SOD1 variants express high phenotypic variability and over 200 have been reported in people with ALS. It was previously proposed that variants can be broadly classified in two groups, 'wild-type like' (WTL) and 'metal binding region' (MBR) variants, based on their structural location and biophysical properties. MBR variants, but not WTL variants, were associated with a reduction of SOD1 enzymatic activity. In this study we used molecular dynamics and large clinical datasets to characterise the differences in the structural and dynamic behaviour of WTL and MBR variants with respect to the wild-type SOD1, and how such differences influence the ALS clinical phenotype. Our study identified marked structural differences, some of which are observed in both variant groups, while others are group specific. Moreover, collecting clinical data of approximately 500 SOD1 ALS patients carrying variants, we showed that the survival time of patients carrying an MBR variant is generally longer (∼6 years median difference, p < 0.001) with respect to patients with a WTL variant. In conclusion, our study highlighted key differences in the dynamic behaviour between WTL and MBR SOD1 variants, and between variants and wild-type SOD1 at an atomic and molecular level, that could be further investigated to explain the associated phenotypic variability. Our results support the hypothesis of a decoupling between mechanisms of onset and progression of SOD1 ALS, and an involvement of loss-of-function of SOD1 with the disease progression.
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Affiliation(s)
- Munishikha Kalia
- Department of Biostatistics and Health Informatics, King’s College London, London, UK
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Mattia Miotto
- Center for Life Nano & Neuro Science, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161, Rome, Italy
| | - Deborah Ness
- Department of Biostatistics and Health Informatics, King’s College London, London, UK
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Sarah Opie-Martin
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Thomas P. Spargo
- Department of Biostatistics and Health Informatics, King’s College London, London, UK
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Lorenzo Di Rienzo
- Center for Life Nano & Neuro Science, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161, Rome, Italy
| | - Tommaso Biagini
- Bioinformatics Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Italy
| | - Francesco Petrizzelli
- Bioinformatics Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Italy
| | - Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | - Renata Kabiljo
- Department of Biostatistics and Health Informatics, King’s College London, London, UK
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
| | | | | | - Tommaso Mazza
- Bioinformatics Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Italy
| | - Giancarlo Ruocco
- Center for Life Nano & Neuro Science, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161, Rome, Italy
- Department of Physics, Sapienza University, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Edoardo Milanetti
- Center for Life Nano & Neuro Science, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161, Rome, Italy
- Department of Physics, Sapienza University, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Richard JB Dobson
- Department of Biostatistics and Health Informatics, King’s College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust King’s College London, London, United Kingdom
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- Clinical Neurosciences, King’s College Hospital, Denmark Hill, London, UK
| | - Alfredo Iacoangeli
- Department of Biostatistics and Health Informatics, King’s College London, London, UK
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust King’s College London, London, United Kingdom
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27
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Spargo TP, Opie-Martin S, Hunt GP, Kalia M, Al Khleifat A, Topp SD, Shaw CE, Al-Chalabi A, Iacoangeli A. SOD1-ALS-Browser: a web-utility for investigating the clinical phenotype in SOD1 amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2023; 24:1-10. [PMID: 37534756 DOI: 10.1080/21678421.2023.2236650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 06/30/2023] [Indexed: 08/04/2023]
Abstract
Objective: Variants in the superoxide dismutase (SOD1) gene are among the most common genetic causes of amyotrophic lateral sclerosis. Reflecting the wide spectrum of putatively deleterious variants that have been reported to date, it has become clear that SOD1-linked ALS presents a highly variable age at symptom onset and disease duration.Methods: Here we describe an open access web tool for comparative phenotype analysis in ALS: https://sod1-als-browser.rosalind.kcl.ac.uk/. The tool contains a built-in dataset of clinical information from 1383 people with ALS harboring a SOD1 variant resulting in one of 162 unique amino acid sequence alterations and from a non-SOD1 comparator ALS cohort of 13,469 individuals. We present two examples of analyses possible with this tool, testing how the ALS phenotype relates to SOD1 variants that alter amino acid residue hydrophobicity and to distinct variants at the 94th residue of SOD1, where six are sampled.Results and conclusions: The tool provides immediate access to the datasets and enables bespoke analysis of phenotypic trends associated with different protein variants, including the option for users to upload their own datasets for integration with the server data. The tool can be used to study SOD1-ALS and provides an analytical framework to study the differences between other user-uploaded ALS groups and our large reference database of SOD1 and non-SOD1 ALS. The tool is designed to be useful for clinicians and researchers, including those without programming expertise, and is highly flexible in the analyses that can be conducted.
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Affiliation(s)
- Thomas P Spargo
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
- NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King"s College London, London, UK
| | - Sarah Opie-Martin
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
| | - Guy P Hunt
- Department of Biostatistics and Health Informatics, King"s College London, London, UK
- Perron Institute for Neurological and Translational Science, Nedlands, WA, 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA, 6150, Australia
| | - Munishikha Kalia
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
- NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King"s College London, London, UK
| | - Ahmad Al Khleifat
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
| | - Simon D Topp
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
| | - Christopher E Shaw
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
- UK Dementia Research Institute Centre at King"s College London, School of Neuroscience, King"s College London, Strand, London, WC2R 2LS, UK
- Centre for Brain Research, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand, and
| | - Ammar Al-Chalabi
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
- King"s College Hospital, Bessemer Road, London, SE5 9RS, UK
| | - Alfredo Iacoangeli
- Maurice Wohl Clinical Neuroscience Institute, King"s College London, Department of Basic and Clinical Neuroscience, London, UK
- NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King"s College London, London, UK
- Department of Biostatistics and Health Informatics, King"s College London, London, UK
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28
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Spargo TP, Opie-Martin S, Bowles H, Lewis CM, Iacoangeli A, Al-Chalabi A. Calculating variant penetrance from family history of disease and average family size in population-scale data. Genome Med 2022; 14:141. [PMID: 36522764 PMCID: PMC9753373 DOI: 10.1186/s13073-022-01142-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/18/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Genetic penetrance is the probability of a phenotype when harbouring a particular pathogenic variant. Accurate penetrance estimates are important across biomedical fields including genetic counselling, disease research, and gene therapy. However, existing approaches for penetrance estimation require, for instance, large family pedigrees or availability of large databases of people affected and not affected by a disease. METHODS We present a method for penetrance estimation in autosomal dominant phenotypes. It examines the distribution of a variant among people affected (cases) and unaffected (controls) by a phenotype within population-scale data and can be operated using cases only by considering family disease history. It is validated through simulation studies and candidate variant-disease case studies. RESULTS Our method yields penetrance estimates which align with those obtained via existing approaches in the Parkinson's disease LRRK2 gene and pulmonary arterial hypertension BMPR2 gene case studies. In the amyotrophic lateral sclerosis case studies, examining penetrance for variants in the SOD1 and C9orf72 genes, we make novel penetrance estimates which correspond closely to understanding of the disease. CONCLUSIONS The present approach broadens the spectrum of traits for which reliable penetrance estimates can be obtained. It has substantial utility for facilitating the characterisation of disease risks associated with rare variants with an autosomal dominant inheritance pattern. The yielded estimates avoid any kinship-specific effects and can circumvent ascertainment biases common when sampling rare variants among control populations.
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Affiliation(s)
- Thomas P Spargo
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK
| | - Sarah Opie-Martin
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK
| | - Harry Bowles
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, de Crespigny Park, London, SE5 8AF, UK
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK.
- Department of Biostatistics and Health Informatics, King's College London, London, UK.
- NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK.
- King's College Hospital, Bessemer Road, London, SE5 9RS, UK.
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