1
|
McCray BA, Fridman V. Clinical Outcome Assessments and Biomarkers in Charcot-Marie-Tooth Disease. Neurology 2024; 103:e210120. [PMID: 39586049 PMCID: PMC11590233 DOI: 10.1212/wnl.0000000000210120] [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: 07/17/2024] [Accepted: 09/24/2024] [Indexed: 11/27/2024] Open
Abstract
Charcot-Marie-Tooth disease (CMT) encompasses a diverse group of genetic forms of inherited peripheral neuropathy and stands as the most common hereditary neurologic disease worldwide. At present, no disease-modifying treatments exist for any form of CMT. However, promising therapeutic strategies are rapidly emerging, necessitating careful consideration of clinical outcome assessments (COAs) and clinical trial design. In this review, we discuss the challenges and successes over the past 2 decades in efforts to design and validate COAs and disease biomarkers of CMT. Natural history studies and completed clinical trials have underscored the limitations of early clinical scales for CMT, including the neuropathy impairment score, overall neuropathy limitation scale, and CMT neuropathy score. These studies prompted the development of newer, psychometrically supported scales including the CMT neuropathy score version 2, CMT pediatric scale, CMT infant scale, CMT functional outcome measure, and CMT health index. Although promising, many of these scales have yet to be formally tested in longitudinal studies. Given inherent challenges of relying solely on COAs in slowly progressive forms of CMT, there is growing recognition of the need for objective disease biomarkers that could serve as surrogate end points in clinical trials. Among these, MRI muscle fat fraction in the lower extremities has proven the most responsive biomarker to date, although its relationship to functional outcomes and its performance in treatment trials remain uncertain. Serum biomarkers including neurofilament light, transmembrane protease serine 5, specific microRNAs, neural cell adhesion molecule 1, and growth and differentiation factor 15 reliably distinguish patients with CMT from controls, but their responsiveness to effective therapies also remains unknown. Although the optimal combination of outcome measures in CMT has yet to be established, many of the most promising COAs and biomarkers are now being put to the test in ongoing clinical trials. These early studies will also help address other critical clinical trial considerations, such as patient selection and enrollment targets, which will become increasingly important in this exciting new era of bringing the first disease-modifying treatments to people living with CMT.
Collapse
Affiliation(s)
- Brett A McCray
- From the Department of Neurology (B.A.M.), University of Michigan Medical School, Ann Arbor; and Department of Neurology (V.F.), University of Colorado Anschutz Medical Campus, Aurora
| | - Vera Fridman
- From the Department of Neurology (B.A.M.), University of Michigan Medical School, Ann Arbor; and Department of Neurology (V.F.), University of Colorado Anschutz Medical Campus, Aurora
| |
Collapse
|
2
|
Stavrou M, Kleopa KA. Gene therapies for CMT neuropathies: from the bench to the clinic. Curr Opin Neurol 2024; 37:445-454. [PMID: 38873808 DOI: 10.1097/wco.0000000000001289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
PURPOSE OF REVIEW Charcot-Marie-Tooth (CMT) neuropathies are rare, genetically heterogeneous and progressive diseases for which there are no approved treatments and their management remains mostly supportive and symptomatic. This review is intended to provide an update on recent developments in gene therapies for different CMT neuropathies. RECENT FINDINGS Increasing knowledge of disease pathomechanisms underlying several CMT types has facilitated the development of promising viral and nonviral gene therapy approaches. Some of these therapies are currently approaching the crucial step of moving from the bench to the clinic, having passed the proof-of-concept stage in rodent models and some also in larger animals. However, questions of optimal delivery route and dose, off-target effects, and possible payload toxicity remain to be clarified for several of these approaches. Furthermore, limited resources, the rarity of most CMT subtypes, and issues of safety and regulatory requirements, create the need for consensus guidelines and optimal clinical trial design. SUMMARY Promising gene therapies have been developed for several CMT neuropathies, with proof-of-principle demonstrated in relevant disease models. Advantages and drawbacks of each approach are discussed and remaining challenges are highlighted. Furthermore, we suggest important parameters that should be considered in order to successfully translate them into the clinic.
Collapse
Affiliation(s)
- Marina Stavrou
- Neuroscience Department, The Cyprus Institute of Neurology and Genetics
| | - Kleopas A Kleopa
- Neuroscience Department, The Cyprus Institute of Neurology and Genetics
- Center for Neuromuscular Diseases, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| |
Collapse
|
3
|
Sadjadi R, Picher-Martel V, Morrow JM, Thedens D, DiCamillo PA, McCray BA, Pareyson D, Herrmann DN, Reilly MM, Li J, Castro D, Shy ME. Clinical Characteristics of Charcot-Marie-Tooth Disease Type 4J. Neurology 2024; 103:e209763. [PMID: 39133880 PMCID: PMC11760056 DOI: 10.1212/wnl.0000000000209763] [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: 03/19/2024] [Accepted: 06/24/2024] [Indexed: 11/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Charcot-Marie-Tooth disease type 4J (CMT4J) is caused by autosomal recessive variants in the Factor-Induced Gene 4 (FIG4) gene. Recent preclinical work has demonstrated the feasibility of adeno-associated virus serotype 9-FIG4 gene therapy. This study aimed to further characterize the CMT4J phenotype and evaluate feasibility of validated CMT-related outcome measures for future clinical trials. METHODS This cross-sectional study enrolled children and adults with genetically confirmed CMT4J, with 2 documented disease-causing variants in the FIG4 gene. Patients were recruited through the Inherited Neuropathy Consortium network. Disease severity was assessed using standardized CMT-specific outcome measures and exploratory biomarkers including muscle MRI fat fraction, electrophysiology, and neurofilament light chain levels. Descriptive statistics and correlation analyses were conducted to explore relationships between variables. RESULTS We recruited a total of 19 patients, including 14 pediatric patients (mean age 10.9 ± 3.9 years) and 5 adults (mean age 40.0 ± 13.9 years). The most frequent symptoms were gross motor delay and distal more than proximal muscle weakness, which were observed in 14 of 19 patients. The most common non-neuromuscular symptoms were cognitive and respiratory deficits, each seen in 8 of 19 patients. We denoted asymmetric weakness in 2 patients and nonuniform slowing of conduction velocities in 6 patients. Charcot-Marie-Tooth Disease Pediatric Scale (CMTPedS), Pediatric Quality of Life Inventory, and Vineland Adaptive Behavior Scale scores were affected in most patients. We observed a significant positive correlation between neurofilament light chain levels and CMTPedS, but the study was underpowered to observe a correlation between CMTPedS and MRI fat fraction. DISCUSSION We obtained baseline clinical and biomarker data in a broad cohort with CMT4J in pediatric and adult patients. Motor delay, muscle weakness, and respiratory and cognitive difficulties were the most common clinical manifestations of CMT4J. Many patients had nerve conduction studies with nonuniform slowing, and 2 had an asymmetric pattern of muscle weakness. We observed that the neurofilament light chain levels correlated with the CMTPedS in the pediatric population. This study showed feasibility of clinical outcomes including CMTPedS in assessment of disease severity in the pediatric patient population and provided baseline characteristics of exploratory biomarkers, neurofilament light chain levels, and muscle MRI fat fraction. The coronavirus disease 2019 pandemic affected some of the visits, resulting in a reduced number of some of the assessments.
Collapse
Affiliation(s)
- Reza Sadjadi
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Vincent Picher-Martel
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Jasper M Morrow
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Daniel Thedens
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Paul A DiCamillo
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Brett A McCray
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Davide Pareyson
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - David N Herrmann
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Mary M Reilly
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Jun Li
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Diana Castro
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| | - Michael E Shy
- From the Department of Neurology (R.S., V.P.-M.), Massachusetts General Hospital, Harvard Medical School, Boston; Centre for Neuromuscular Diseases (J.M.M., M.M.R.), Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Neurology (D.T.), and Department of Radiology (P.A.D.), University of Iowa Health Care, Carver College of Medicine, Iowa City; Michigan Neuroscience Institute (B.A.M.), University of Michigan, Ann Arbor; Unit of Medical Genetics and Neurogenetics (D.P.), Department of Diagnostics and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy; Department of Neurology (D.N.H.), University of Rochester, NY; Department of Neurology (J.L.), Houston Methodist Research Institute; Neurology & Neuromuscular Care Center/Neurology Rare Disease Center (D.C.), Denton, TX; and Department of Molecular Physiology and Biophysics (M.E.S.), University of Iowa Health Care, Carver College of Medicine, Iowa City
| |
Collapse
|
4
|
Doherty CM, Howard P, O'Donnell LF, Zuccarino R, Wastling S, Milev E, Banks T, Shah S, Zafeiropoulos N, Stephens KJ, Sarkozy A, Grider T, Feely SME, Manzur A, Shy RR, Skorupinska M, Pipis M, Nicolaisen E, McDowell A, Dilek N, Rossor AM, Laura M, Clark C, Muntoni F, Thedens D, Thornton J, Morrow JM, Shy ME, Reilly MM. Quantitative Foot Muscle Magnetic Resonance Imaging Reliably Measures Disease Progression in Children and Adolescents with Charcot-Marie-Tooth Disease Type 1A. Ann Neurol 2024; 96:170-174. [PMID: 38613459 DOI: 10.1002/ana.26934] [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: 01/25/2024] [Revised: 03/13/2024] [Accepted: 03/19/2024] [Indexed: 04/15/2024]
Abstract
Quantitative muscle fat fraction (FF) responsiveness is lower in younger Charcot-Marie-Tooth disease type 1A (CMT1A) patients with lower baseline calf-level FF. We investigated the practicality, validity, and responsiveness of foot-level FF in this cohort involving 22 CMT1A patients and 14 controls. The mean baseline foot-level FF was 25.9 ± 20.3% in CMT1A patients, and the 365-day FF (n = 15) increased by 2.0 ± 2.4% (p < 0.001 vs controls). Intrinsic foot-level FF demonstrated large responsiveness (12-month standardized response mean (SRM) of 0.86) and correlated with the CMT examination score (ρ = 0.58, P = 0.01). Intrinsic foot-level FF has the potential to be used as a biomarker in future clinical trials involving younger CMT1A patients. ANN NEUROL 2024;96:170-174.
Collapse
Affiliation(s)
- Carolynne M Doherty
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Paige Howard
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Luke F O'Donnell
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Riccardo Zuccarino
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Fondazione Serena Onlus, Centro Clinico NeMO Trento, Italy
| | - Stephen Wastling
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Evelin Milev
- Dubowitz Neuromuscular Center, Great Ormond Street Hospital, London, UK
| | - Tina Banks
- Department of Radiology, Great Ormond Street Hospital, London, UK
| | - Sachit Shah
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Nick Zafeiropoulos
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Katherine J Stephens
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Anna Sarkozy
- Dubowitz Neuromuscular Center, Great Ormond Street Hospital, London, UK
| | - Tiffany Grider
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Shawna M E Feely
- Division of Pediatric Neurology, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, WA, USA
| | - Adnan Manzur
- Dubowitz Neuromuscular Center, Great Ormond Street Hospital, London, UK
| | - Rosemary R Shy
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Mariola Skorupinska
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Menelaos Pipis
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Emma Nicolaisen
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Amy McDowell
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Nuran Dilek
- University of Rochester School of Medicine and Dentistry, New York, NY, USA
| | - Alexander M Rossor
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Matilde Laura
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | | | - Francesco Muntoni
- Dubowitz Neuromuscular Center, Great Ormond Street Hospital, London, UK
| | - Daniel Thedens
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - John Thornton
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Jasper M Morrow
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Michael E Shy
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Mary M Reilly
- Center for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| |
Collapse
|
5
|
De Grado A, Pisciotta C, Saveri P, Pareyson D. Will new investigational drugs change the way we treat Charcot-Marie-Tooth disease? Expert Opin Investig Drugs 2024; 33:653-656. [PMID: 38712465 DOI: 10.1080/13543784.2024.2352635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Affiliation(s)
- Amedeo De Grado
- Unit of Rare Neurological Diseases, Department of Clinical Neurosciences, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Chiara Pisciotta
- Unit of Rare Neurological Diseases, Department of Clinical Neurosciences, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Paola Saveri
- Unit of Rare Neurological Diseases, Department of Clinical Neurosciences, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Davide Pareyson
- Unit of Rare Neurological Diseases, Department of Clinical Neurosciences, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| |
Collapse
|
6
|
O'Donnell LF, Pipis M, Thornton JS, Kanber B, Wastling S, McDowell A, Zafeiropoulos N, Laura M, Skorupinska M, Record CJ, Doherty CM, Herrmann DN, Zetterberg H, Heslegrave AJ, Laban R, Rossor AM, Morrow JM, Reilly MM. Quantitative MRI outcome measures in CMT1A using automated lower limb muscle segmentation. J Neurol Neurosurg Psychiatry 2024; 95:500-503. [PMID: 37979968 DOI: 10.1136/jnnp-2023-332454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/25/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Lower limb muscle magnetic resonance imaging (MRI) obtained fat fraction (FF) can detect disease progression in patients with Charcot-Marie-Tooth disease 1A (CMT1A). However, analysis is time-consuming and requires manual segmentation of lower limb muscles. We aimed to assess the responsiveness, efficiency and accuracy of acquiring FF MRI using an artificial intelligence-enabled automated segmentation technique. METHODS We recruited 20 CMT1A patients and 7 controls for assessment at baseline and 12 months. The three-point-Dixon fat water separation technique was used to determine thigh-level and calf-level muscle FF at a single slice using regions of interest defined using Musclesense, a trained artificial neural network for lower limb muscle image segmentation. A quality control (QC) check and correction of the automated segmentations was undertaken by a trained observer. RESULTS The QC check took on average 30 seconds per slice to complete. Using QC checked segmentations, the mean calf-level FF increased significantly in CMT1A patients from baseline over an average follow-up of 12.5 months (1.15%±1.77%, paired t-test p=0.016). Standardised response mean (SRM) in patients was 0.65. Without QC checks, the mean FF change between baseline and follow-up, at 1.15%±1.68% (paired t-test p=0.01), was almost identical to that seen in the corrected data, with a similar overall SRM at 0.69. CONCLUSIONS Using automated image segmentation for the first time in a longitudinal study in CMT, we have demonstrated that calf FF has similar responsiveness to previously published data, is efficient with minimal time needed for QC checks and is accurate with minimal corrections needed.
Collapse
Affiliation(s)
- Luke F O'Donnell
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Menelaos Pipis
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - John S Thornton
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Baris Kanber
- UCL Centre for Medical Image Computing, London, UK
| | - Stephen Wastling
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Amy McDowell
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Nick Zafeiropoulos
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Matilde Laura
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Mariola Skorupinska
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Christopher J Record
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Carolynne M Doherty
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - David N Herrmann
- Department of Neurology, University of Rochester, Rochester, New York, USA
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Amanda J Heslegrave
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | | | - Alexander M Rossor
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Jasper M Morrow
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Mary M Reilly
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| |
Collapse
|
7
|
Scherer SS, Svaren J. Peripheral Nervous System (PNS) Myelin Diseases. Cold Spring Harb Perspect Biol 2024; 16:a041376. [PMID: 38253417 PMCID: PMC11065170 DOI: 10.1101/cshperspect.a041376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
This is a review of inherited and acquired causes of human demyelinating neuropathies and a subset of disorders that affect axon-Schwann cell interactions. Nearly all inherited demyelinating neuropathies are caused by mutations in genes that are expressed by myelinating Schwann cells, affecting diverse functions in a cell-autonomous manner. The most common acquired demyelinating neuropathies are Guillain-Barré syndrome and chronic, inflammatory demyelinating polyneuropathy, both of which are immune-mediated. An additional group of inherited and acquired disorders affect axon-Schwann cell interactions in the nodal region. Overall, these disorders affect the formation of myelin and its maintenance, with superimposed axonal loss that is clinically important.
Collapse
Affiliation(s)
- Steven S Scherer
- Department of Neurology, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - John Svaren
- Department of Comparative Biosciences, Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin 53705, USA
| |
Collapse
|
8
|
Sivera Mascaró R, García Sobrino T, Horga Hernández A, Pelayo Negro AL, Alonso Jiménez A, Antelo Pose A, Calabria Gallego MD, Casasnovas C, Cemillán Fernández CA, Esteban Pérez J, Fenollar Cortés M, Frasquet Carrera M, Gallano Petit MP, Giménez Muñoz A, Gutiérrez Gutiérrez G, Gutiérrez Martínez A, Juntas Morales R, Ciano-Petersen NL, Martínez Ulloa PL, Mederer Hengstl S, Millet Sancho E, Navacerrada Barrero FJ, Navarrete Faubel FE, Pardo Fernández J, Pascual Pascual SI, Pérez Lucas J, Pino Mínguez J, Rabasa Pérez M, Sánchez González M, Sotoca J, Rodríguez Santiago B, Rojas García R, Turon-Sans J, Vicent Carsí V, Sevilla Mantecón T. Clinical practice guidelines for the diagnosis and management of Charcot-Marie-Tooth disease. Neurologia 2024:S2173-5808(24)00047-6. [PMID: 38431252 DOI: 10.1016/j.nrleng.2024.02.008] [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: 09/12/2023] [Accepted: 11/03/2023] [Indexed: 03/05/2024] Open
Abstract
INTRODUCTION Charcot-Marie-Tooth (CMT) disease is classified considering the neurophysiological and histological findings, the inheritance pattern and the underlying genetic defect. In recent years, with the advent of next generation sequencing, genetic complexity has increased exponentially, expanding the knowledge about disease pathways, and having an impact in clinical management. The aim of this guide is to offer recommendations for the diagnosis, prognosis, monitoring and treatment of this disease in Spain. MATERIAL AND METHODS This consensus guideline has been developed by a multidisciplinary panel encompassing a broad group of professionals including neurologists, neuropediatricians, geneticists, rehabilitators, and orthopaedic surgeons. RECOMMENDATIONS The diagnosis is based in the clinical characterization, usually presenting with a common phenotype. It should be followed by an appropriate neurophysiological study that allows for a correct classification, specific recommendations are established for the parameters that should be included. Genetic diagnosis must be approached in sequentially, once the PMP22 duplication has been ruled out if appropriate, a next generation sequencing should be considered taking into account the limitations of the available techniques. To date, there is no pharmacological treatment that modifies the course of the disease, but symptomatic management is important, as are the rehabilitation and orthopaedic considerations. The latter should be initiated early to identify and improve the patient's functional impairments, including individualised exercise guidelines, orthotic adaptation, and assessment of conservative surgeries such as tendon transpositions. The follow-up of patients with CMT is exclusively clinical, ancillary testing are not necessary in routine clinical practice.
Collapse
Affiliation(s)
- R Sivera Mascaró
- Servicio de Neurología, Hospital Universitari i Politécnic La Fe, Instituto de Investigación Sanitaria La Fe, Valencia, Spain; CIBER de Enfermedades Raras (CIBERER), Madrid, Spain
| | - T García Sobrino
- Servicio de Neurología, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, A Coruña, Spain.
| | - A Horga Hernández
- Servicio de Neurología, Hospital Clínico San Carlos, IdISSC, Madrid, Spain
| | - A L Pelayo Negro
- Servicio de Neurología, Hospital Universitario Marqués de Valdecilla, Santander, Spain; Center for Biomedical Research in the Neurodegenerative Diseases (CIBERNED) Network, Madrid, Spain
| | - A Alonso Jiménez
- Neuromuscular Reference Center, Neurology Department, University Hospital of Antwerp, Amberes, Belgium
| | - A Antelo Pose
- Servicio de Rehabilitación, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | | | - C Casasnovas
- Unitat de Neuromuscular, Servicio de Neurología, Hospital Universitari de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | | | - J Esteban Pérez
- Servicio de Neurología, Unidad de ELA y Enfermedades Neuromusculares, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - M Fenollar Cortés
- Genética Clínica, Servicio de Análisis Clínicos, Instituto de Medicina del Laboratorio, IdISSC, Hospital Clínico San Carlos, Madrid, Spain
| | - M Frasquet Carrera
- CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Servicio de Neurología, Hospital Universitari Dr. Peset, Valencia, Spain
| | - M P Gallano Petit
- CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Servicio de Genética, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - A Giménez Muñoz
- Servicio de Neurología, Hospital Royo Villanova, Zaragoza, Spain
| | - G Gutiérrez Gutiérrez
- CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Servicio de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, Spain; Facultad de Medicina, Universidad Europea de Madrid, Madrid, Spain
| | - A Gutiérrez Martínez
- Servicio de Neurología, Hospital Universitario Insular de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - R Juntas Morales
- Servicio de Neurología, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - N L Ciano-Petersen
- Servicio de Neurología, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga, Málaga, Spain
| | - P L Martínez Ulloa
- Servicio de Neurología, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - S Mederer Hengstl
- Servicio de Neurología, Complejo Hospitalario de Pontevedra, Pontevedra, Spain
| | - E Millet Sancho
- CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Servicio de Neurofisiología, Hospital Universitari i Politécnic La Fe, Instituto de Investigación Sanitaria la Fe, Valencia, Spain
| | - F J Navacerrada Barrero
- Servicio de Neurología, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, Spain
| | - F E Navarrete Faubel
- Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitari i Politécnic La Fe, Valencia, Spain
| | - J Pardo Fernández
- Servicio de Neurología, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | | | - J Pérez Lucas
- Servicio de Neurología, Hospital del Tajo, Aranjuez, Madrid, Spain
| | - J Pino Mínguez
- Servicio de Cirugía Ortopédica y Traumatología, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, A Coruña, Spain
| | - M Rabasa Pérez
- Servicio de Neurología, Hospital Universitario de Fuenlabrada, Fuenlabrada, Madrid, Spain
| | - M Sánchez González
- Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitari i Politécnic La Fe, Valencia, Spain
| | - J Sotoca
- Servicio de Neurología, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | | | - R Rojas García
- CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Servicio de Neurología, Hospital de la Santa Creu i Sant Pau, Departamento de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - J Turon-Sans
- CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Servicio de Neurofisiología, Hospital de la Santa Creu i Sant Pau, Departamento de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - V Vicent Carsí
- Servicio de Cirugía Ortopédica y Traumatología, Hospital Universitari i Politécnic La Fe, Valencia, Spain
| | - T Sevilla Mantecón
- Servicio de Neurología, Hospital Universitari i Politécnic La Fe, Instituto de Investigación Sanitaria La Fe, Valencia, Spain; CIBER de Enfermedades Raras (CIBERER), Madrid, Spain; Universidad de Valencia, Valencia, Spain
| |
Collapse
|
9
|
Doherty CM, Morrow JM, Zuccarino R, Howard P, Wastling S, Pipis M, Zafeiropoulos N, Stephens KJ, Grider T, Feely SME, Nopoulous P, Skorupinska M, Milev E, Nicolaisen E, Dudzeic M, McDowell A, Dilek N, Muntoni F, Rossor AM, Shah S, Laura M, Yousry TA, Thedens D, Thornton J, Shy ME, Reilly MM. Lower limb muscle MRI fat fraction is a responsive outcome measure in CMT X1, 1B and 2A. Ann Clin Transl Neurol 2024; 11:607-617. [PMID: 38173284 DOI: 10.1002/acn3.51979] [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: 11/07/2023] [Revised: 11/23/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
OBJECTIVE With potential therapies for many forms of Charcot-Marie-Tooth disease (CMT), responsive outcome measures are urgently needed for clinical trials. Quantitative lower limb MRI demonstrated progressive calf intramuscular fat accumulation in the commonest form, CMT1A with large responsiveness. In this study, we evaluated the responsiveness and validity in the three other common forms, due to variants in GJB1 (CMTX1), MPZ (CMT1B) and MFN2 (CMT2A). METHODS 22 CMTX1, 21 CMT1B and 21 CMT2A patients and matched controls were assessed at a 1-year interval. Intramuscular fat fraction (FF) was evaluated using three-point Dixon MRI at thigh and calf level along with clinical measures including CMT examination score, clinical strength assessment, CMT-HI and plasma neurofilament light chain. RESULTS All patient groups had elevated muscle fat fraction at thigh and calf levels, with highest thigh FF and atrophy in CMT2A. There was moderate correlation between calf muscle FF and clinical measures (CMTESv2 rho = 0.405; p = 0.001, ankle MRC strength rho = -0.481; p < 0.001). Significant annualised progression in calf muscle FF was seen in all patient groups (CMTX1 2.0 ± 2.0%, p < 0.001, CMT1B 1.6 ± 2.1% p = 0.004 and CMT2A 1.6 ± 2.1% p = 0.002). Greatest increase was seen in patients with 10-70% FF at baseline (calf 2.7 ± 2.3%, p < 0.0001 and thigh 1.7 ± 2.1%, p = 0.01). INTERPRETATION Our results confirm that calf muscle FF is highly responsive over 12 months in three additional common forms of CMT which together with CMT1A account for 90% of genetically confirmed cases. Calf muscle MRI FF should be a valuable outcome measure in upcoming CMT clinical trials.
Collapse
Affiliation(s)
- Carolynne M Doherty
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Jasper M Morrow
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Riccardo Zuccarino
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Fondazione Serena Onlus, Centro Clinico NeMO Trento, Pergine Valsugana, Italy
| | - Paige Howard
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Stephen Wastling
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Menelaos Pipis
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Nick Zafeiropoulos
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Katherine J Stephens
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Tiffany Grider
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Shawna M E Feely
- Seattle Children's Hospital, University of Washington School of Medicine, Seattle, Washington, USA
| | - Peggy Nopoulous
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Mariola Skorupinska
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | | | - Emma Nicolaisen
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Magdalena Dudzeic
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Amy McDowell
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Nuran Dilek
- University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | | | - Alexander M Rossor
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Sachit Shah
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Matilde Laura
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Tarek A Yousry
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Daniel Thedens
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - John Thornton
- Lysholm Department of Radiology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Michael E Shy
- Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Mary M Reilly
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| |
Collapse
|
10
|
Lund TC, Braunlin E, Polgreen LE, Gupta AO, Orchard PJ, Eisengart JB. Hurler Syndrome Glycosaminoglycans Decrease in Cerebrospinal Fluid without Brain-Targeted Therapy. Ann Neurol 2023; 94:1182-1186. [PMID: 37679306 PMCID: PMC11318530 DOI: 10.1002/ana.26786] [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: 04/25/2023] [Revised: 08/30/2023] [Accepted: 09/03/2023] [Indexed: 09/09/2023]
Abstract
Novel therapies for Hurler syndrome aim to cross the blood-brain barrier (BBB) to target neurodegeneration by degrading glycosaminoglycans (GAG). BBB penetration has been assumed with decreased cerebrospinal fluid (CSF) GAG, yet little is known about CSF GAG without brain-targeting therapies. We compared pre-transplant CSF GAG in patients who were treatment naïve (n = 19) versus receiving standard non-BBB penetrating enzyme replacement therapy (ERT, n = 12). In the ERT versus treatment naïve groups, CSF GAG was significantly lower across all content assayed, raising questions about using CSF GAG decrements to show BBB penetration. Future studies should compare GAG reduction in standard versus novel therapies. ANN NEUROL 2023;94:1182-1186.
Collapse
Affiliation(s)
- Troy C. Lund
- Department of Pediatrics, Division of Pediatric Blood and Marrow Transplantation & Cellular TherapyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Elizabeth Braunlin
- Department of Pediatrics, Division of Pediatric CardiologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Lynda E. Polgreen
- The Lundquist Institute at Harbor‐UCLA Medical CenterTorranceCaliforniaUSA
| | - Ashish O. Gupta
- Department of Pediatrics, Division of Pediatric Blood and Marrow Transplantation & Cellular TherapyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Paul J. Orchard
- Department of Pediatrics, Division of Pediatric Blood and Marrow Transplantation & Cellular TherapyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Julie B. Eisengart
- Department of Pediatrics, Division of Clinical Behavioral NeuroscienceUniversity of MinnesotaMinneapolisMinnesotaUSA
| |
Collapse
|
11
|
Balasar Ö, Başdemirci M. Assessment of whole-exome sequencing results in neurogenetic diseases. J Hum Genet 2023; 68:797-804. [PMID: 37524782 DOI: 10.1038/s10038-023-01185-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/22/2023] [Accepted: 07/19/2023] [Indexed: 08/02/2023]
Abstract
Neurogenetic diseases are rare genetic diseases in which neurological findings are prominent. Whole exome sequencing (WES) has led to great advances in the understanding of the causes of neurogenetic diseases. Etiological research ends with the WES method in many patients. This etiological research is called a "diagnostic odyssey" for many families. Here, we present the results of 168 patients who were previously undiagnosed and underwent WES with the suspicion of neurogenetic disease. A total of 168 cases, 94 males and 74 females, with suspected undiagnosed neurogenetic disease were included in the study. We presented the WES results of the patients. The mean age of patients at the time of WES request was 11 years (range 0.25-68 years). Seventy percent (n = 117) of the patients were born from consanguineous marriage. Most of the patients were children (n = 145). Patients were grouped according to age at the time of examination. Patients younger than 18 years of age at the time of examination were classified as children, otherwise adults. Seventy-eight patients had either a pathogenic variant or a likely pathogenic variant so the diagnostic rate for WES in our cohort was %46. Our experience showing the high diagnostic rate of WES, supports its use in undiagnosed neurogenetic diseases. It also affects medical treatment, prognosis and family planning by enabling early diagnosis in patients.
Collapse
Affiliation(s)
- Özgür Balasar
- Department of Medical Genetics, Konya City Hospital, Konya, Turkey.
| | | |
Collapse
|
12
|
Wirth T, Clément G, Delvallée C, Bonnet C, Bogdan T, Iosif A, Schalk A, Chanson JB, Pellerin D, Brais B, Roth V, Wandzel M, Fleury MC, Piton A, Calmels N, Namer IJ, Kremer S, Tranchant C, Renaud M, Anheim M. Natural History and Phenotypic Spectrum of GAA-FGF14 Sporadic Late-Onset Cerebellar Ataxia (SCA27B). Mov Disord 2023; 38:1950-1956. [PMID: 37470282 DOI: 10.1002/mds.29560] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/05/2023] [Accepted: 07/05/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Heterozygous GAA expansions in the FGF14 gene have been related to autosomal dominant cerebellar ataxia (SCA27B-MIM:620174). Whether they represent a common cause of sporadic late-onset cerebellar ataxia (SLOCA) remains to be established. OBJECTIVES To estimate the prevalence, characterize the phenotypic spectrum, identify discriminative features, and model longitudinal progression of SCA27B in a prospective cohort of SLOCA patients. METHODS FGF14 expansions screening combined with longitudinal deep-phenotyping in a prospective cohort of 118 SLOCA patients (onset >40 years of age, no family history of cerebellar ataxia) without a definite diagnosis. RESULTS Prevalence of SCA27B was 12.7% (15/118). Higher age of onset, higher Spinocerebellar Degeneration Functional Score, presence of vertigo, diplopia, nystagmus, orthostatic hypotension absence, and sensorimotor neuropathy were significantly associated with SCA27B. Ataxia progression was ≈0.4 points per year on the Scale for Assessment and Rating of Ataxia. CONCLUSIONS FGF14 expansion is a major cause of SLOCA. Our natural history data will inform future FGF14 clinical trials. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Thomas Wirth
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | | | - Clarisse Delvallée
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - Céline Bonnet
- Medical Genetics Laboratory, Nancy Regional University Hospital, Nancy, France
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Lorraine University, Nancy, France
| | - Thomas Bogdan
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
| | - Andra Iosif
- Neurology Department, Hospital of Mulhouse, Mulhouse, France
| | - Audrey Schalk
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Jean-Baptiste Chanson
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Neuromuscular Center Nord/Est/Ile-de-France, Strasbourg University Hospital, Strasbourg, France
| | - David Pellerin
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, Montreal, Canada
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - Bernard Brais
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, Montreal, Canada
| | - Virginie Roth
- Medical Genetics Laboratory, Nancy Regional University Hospital, Nancy, France
| | - Marion Wandzel
- Medical Genetics Laboratory, Nancy Regional University Hospital, Nancy, France
| | - Marie-Céline Fleury
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
| | - Amélie Piton
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Nadège Calmels
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Genetic Diagnosis Laboratory, Strasbourg University Hospital, Strasbourg, France
| | - Izzie Jacques Namer
- MNMS Platform, University Hospitals of Strasbourg, Strasbourg, France
- ICube, University of Strasbourg/CNRS UMR 7357, Strasbourg, France
- Department of Nuclear Medicine and Molecular Imaging, Strasbourg, France
| | - Stéphane Kremer
- ICube, University of Strasbourg/CNRS UMR 7357, Strasbourg, France
- Neuroradiology Department, Strasbourg University Hospital, Strasbourg, France
| | - Christine Tranchant
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| | - Mathilde Renaud
- Neurology Department, Nancy Regional University Hospital, Nancy, France
- INSERM UMR_S 1256, Nutrition, Genetics, and Environmental Risk Exposure (NGERE), Lorraine University, Nancy, France
- Clinical Genetics Department, Nancy Regional University Hospital, Nancy, France
| | - Mathieu Anheim
- Neurology Department, Strasbourg University Hospital, Strasbourg, France
- Strasbourg Federation of Translational Medicine, Strasbourg University, Strasbourg, France
- Institute of Genetics and Cellular and Molecular Biology, INSERM-U964; CNRS-UMR7104, University of Strasbourg, Illkirch-Graffenstaden, France
| |
Collapse
|
13
|
Pisciotta C, Pareyson D. Gene therapy and other novel treatment approaches for Charcot-Marie-Tooth disease. Neuromuscul Disord 2023; 33:627-635. [PMID: 37455204 DOI: 10.1016/j.nmd.2023.07.001] [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: 04/28/2023] [Revised: 06/27/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023]
Abstract
There is still no effective drug treatment available for Charcot-Marie-Tooth disease (CMT). Current management relies on rehabilitation therapy, surgery for skeletal deformities, and symptomatic treatment. The challenge is to find disease-modifying therapies. Several approaches, including gene silencing (by means of ASO, siRNA, shRNA, miRNA, CRISPR-Cas9 editing), to counteract the PMP22 gene overexpression in the most frequent CMT1A type are under investigation. PXT3003 is the compound in the most advanced phase for CMT1A, as a second phase-III trial is ongoing. Gene therapy to substitute defective genes (particularly in recessive forms associated with loss-of-function mutations) or insert novel ones (e.g., NT3 gene) are being developed and tested in animal models and in still exceptional cases have reached the clinical trial phase in humans. Novel treatment approaches are also aimed at developing compounds acting on pathways important for different CMT types. Modulation of the neuregulin pathway determining myelin thickness is promising for both hypo-demyelinating and hypermyelinating neuropathies; intervention on Unfolded Protein Response seems effective for rescuing misfolded myelin proteins such as MPZ in CMT1B. HDAC6 inhibitors improved axonal transport and ameliorated phenotypes in different CMT models. Other potential therapeutic strategies include targeting macrophages, lipid metabolism, and Nav1.8 sodium channel in demyelinating CMT and the P2×7 receptor, which regulates calcium influx into Schwann cells, in CMT1A. Further approaches are aimed at correcting metabolic abnormalities, including the accumulation of sorbitol caused by biallelic mutations in the sorbitol dehydrogenase (SORD) gene and of neurotoxic glycosphingolipids in HSN1.
Collapse
Affiliation(s)
- Chiara Pisciotta
- Unit of Rare Neurological Diseases, Department of Clinical Neurosciences, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Davide Pareyson
- Unit of Rare Neurological Diseases, Department of Clinical Neurosciences, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
| |
Collapse
|