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Mamarabadi M, Kudritzki V, Li Y, Howard IM. Update on Exercise in Persons With Muscle Disease. Muscle Nerve 2025. [PMID: 39976212 DOI: 10.1002/mus.28356] [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: 04/18/2024] [Revised: 01/06/2025] [Accepted: 01/11/2025] [Indexed: 02/21/2025]
Abstract
Myopathies are heterogeneous in their etiology, muscle group involvement, clinical manifestation, and progression. Deficits in myopathy may include muscle weakness, atrophy, stiffness, myalgia, and extra-muscular manifestations. Consequently, these deficits could lead to impaired musculoskeletal function, inadequate engagement in daily activities and reduced participation in social activities. Exercise has been viewed as a potentially efficacious intervention to halt the loss of muscle function and to improve secondary symptoms that result from muscle loss, such as pain and fatigue. The purpose of this review is to discuss research findings within the last 10 years that examine effects of exercise interventions in many types of myopathies in humans. In general, most studies were small scale, and they varied with respect to exercise type, intensity, and outcome measures. Despite the different pathologies, various exercise subtypes of aerobic/endurance or strength/resistance training are generally beneficial and may improve muscle strength and functional outcomes. Exercise therapies are generally safe and well tolerated. Exercise prescription should be part of routine neuromuscular care for patients with myopathy, and ideally with input from a multidisciplinary team, with a focus on providing individualized exercise regimens. Further work is needed to define the optimal intensity and type of exercise to result in the best functional outcomes for persons with myopathy, as well as the effects of combining exercise and novel disease modifying therapies.
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Affiliation(s)
| | - Virginia Kudritzki
- Rehabilitation Care Services, VA Puget Sound Healthcare System, Seattle, Washington, USA
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
| | - Yuebing Li
- Neuromuscular Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Ileana M Howard
- Rehabilitation Care Services, VA Puget Sound Healthcare System, Seattle, Washington, USA
- Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA
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Vincenten SCC, Teeselink S, Mul K, Heskamp L, Kan HE, Heerschap A, Cameron D, Tasca G, Leung DG, Voermans NC, van Engelen BGM, van Alfen N. Muscle imaging in facioscapulohumeral muscular dystrophy research: A scoping review and expert recommendations. Neuromuscul Disord 2025; 47:105274. [PMID: 39884029 DOI: 10.1016/j.nmd.2025.105274] [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: 07/02/2024] [Revised: 12/17/2024] [Accepted: 01/03/2025] [Indexed: 02/01/2025]
Abstract
Clinical trial readiness is an important topic in the field of facioscapulohumeral muscular dystrophy (FSHD). As FSHD is a slowly progressive and clinically heterogeneous disease, imaging biomarkers have been proposed to complement clinical outcome measures. Muscle magnetic resonance imaging (MRI), ultrasound and dual energy X-ray absorptiometry (DEXA) have been used to measure disease severity, activity and progression. We conducted a scoping review of the literature on these imaging modalities to assess gaps in knowledge and subsequently collaborated with a panel of neuromuscular imaging experts to generate recommendations on the road ahead. We systematically searched PubMed, EMBASE and Cochrane Library databases. Three-hundred and twenty-eight studies were screened and one hundred and five studies were included. MRI indices related to intramuscular fat content, STIR positivity and T2water are used as diagnostic as well as prognostic and monitoring biomarkers. Ultrasound echogenicity can be used as a diagnostic and potentially as a prognostic and monitoring biomarker. DEXA lean muscle mass may be used as an additional monitoring biomarker. Each imaging modality has its own benefits but also challenges. Based on our expert opinions, we propose a roadmap to address these challenges, ensuring the optimal use of each modality in multi-center clinical trials in FSHD.
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Affiliation(s)
- Sanne C C Vincenten
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Sjan Teeselink
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Karlien Mul
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Linda Heskamp
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hermien E Kan
- C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands & Duchenne Center Netherlands, The Netherlands
| | - Arend Heerschap
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Donnie Cameron
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Giorgio Tasca
- John Walton Muscular Dystrophy Research Centre, Newcastle University and Newcastle Hospitals NHS Foundation Trusts, Newcastle upon Tyne, United Kingdom
| | - Doris G Leung
- Center for Genetic Muscle Disorders, Kennedy Krieger Institute, 1741 Ashland Ave., Baltimore, MD, 21205, USA
| | - Nicol C Voermans
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Baziel G M van Engelen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nens van Alfen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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van Haaren-Pater R, Karazi W, Maas D, Bloemen B, Voet N, van Oorsouw R, Quinlivan R, Bhai S, Wakelin A, Reason S, Groothuis JT, Cup E, Voermans NC. Experiences of living with GSD5 (McArdle) disease: challenges and strategies. A qualitative study in the Netherlands. Disabil Rehabil 2024:1-8. [PMID: 39523819 DOI: 10.1080/09638288.2024.2424439] [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: 07/31/2024] [Revised: 10/25/2024] [Accepted: 10/26/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Glycogen Storage Disease type 5 (GSD5 or McArdle disease) is caused by deficient glycogen phosphorylase enzyme activity in skeletal muscles. Individuals with GSD5 experience symptoms like muscle pain, fatigue, and tachycardia during exertion. Our study aimed to explore the lived experiences of individuals with GSD5, focusing on their daily challenges, the process of being diagnosed, and management strategies. METHODS Participants were invited to share their life experiences through in-depth, semi-structured interviews, and the collected data was analyzed using thematic analysis. RESULTS Using purposeful sampling, 13 individuals with GSD5 were recruited for the study. The analysis identified four key themes: "experiencing incomprehensible difficulties," "diagnosis as an explanation," "finding ways to manage daily challenges," and "listening to your body." These themes reflect diverse experiences of daily functioning, physical challenges faced, the pivotal role of diagnosis in understanding symptoms, and the adoption of management strategies like using the 'second wind' phenomenon. Participants emphasized the importance of support networks and adaptive lifestyle changes in effectively managing their condition. CONCLUSIONS Early diagnosis and tailored management strategies are critical for improving outcomes and quality of life in individuals with GSD5. Timely diagnosis and comprehensive multidisciplinary care are essential for effectively managing the complexities of this rare metabolic disorder.
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Affiliation(s)
- Ronne van Haaren-Pater
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Walaa Karazi
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Daphne Maas
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Bart Bloemen
- Department of IQ Health, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nicoline Voet
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Rehabilitation center Klimmendaal, Arnhem, the Netherlands
| | - Roel van Oorsouw
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ros Quinlivan
- MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology, National Hospital, London, United Kingdom
| | - Salman Bhai
- Department of Neurology, the University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Andrew Wakelin
- International Association for Muscle, Glycogen Storage Disease c/o Noble Accounting LLC, Torrance, CA, USA
| | - Stacey Reason
- International Association for Muscle, Glycogen Storage Disease c/o Noble Accounting LLC, Torrance, CA, USA
| | - Jan T Groothuis
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Edith Cup
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nicol C Voermans
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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Milot A, Raikova M, Huzar C, Thellier V, Hergibo N, Gauthier M, Billy-Lopez G, Durand C, Nugues F, Bourg V, Dieterich K. [Arthrogryposis Multiplex Congenita in pediatric age: Correlation between Muscle MRI and functional assessment]. Med Sci (Paris) 2024; 40 Hors série n° 1:26-29. [PMID: 39555873 DOI: 10.1051/medsci/2024131] [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: 11/19/2024] Open
Abstract
Arthrogryposis multiplex congenita (AMC) is a group of diseases with joint limitations at two or more distinct joint levels at birth. Joint limitations are not progressive, but the functional consequences have a lifelong impact on patients. In this article we will present the results of our study aimed at evaluating the correlation between muscle fat infiltration on MRI and activity deficiencies and limitations in children with AMC. Our study is one of the first in a pediatric population to establish the link between muscle imaging and functional aspects of AMC.
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Affiliation(s)
- Alicia Milot
- Université Grenoble Alpes, Inserm U1209, IAB, CHU Grenoble Alpes, Génétique Médicale, France - Médecine physique et réadaptation pédiatrique, CHU Grenoble Alpes, France - Centre de référence national des anomalies développementales, clinique multidisciplinaire AMC, CHU Grenoble Alpes, France
| | - Mariya Raikova
- Département d'Imagerie pédiatrique, CHU Grenoble Alpes, France
| | - Claire Huzar
- Médecine physique et réadaptation pédiatrique, CHU Grenoble Alpes, France - Centre de référence national des anomalies développementales, clinique multidisciplinaire AMC, CHU Grenoble Alpes, France
| | - Véronique Thellier
- Médecine physique et réadaptation pédiatrique, CHU Grenoble Alpes, France - Centre de référence national des anomalies développementales, clinique multidisciplinaire AMC, CHU Grenoble Alpes, France
| | - Nicolas Hergibo
- Département d'Imagerie pédiatrique, CHU Grenoble Alpes, France
| | - Marjolaine Gauthier
- Université Grenoble Alpes, Inserm U1209, IAB, CHU Grenoble Alpes, Génétique Médicale, France - Centre de référence national des anomalies développementales, clinique multidisciplinaire AMC, CHU Grenoble Alpes, France
| | - Gipsy Billy-Lopez
- Université Grenoble Alpes, Inserm U1209, IAB, CHU Grenoble Alpes, Génétique Médicale, France - Centre de référence national des anomalies développementales, clinique multidisciplinaire AMC, CHU Grenoble Alpes, France
| | - Chantal Durand
- Département d'Imagerie pédiatrique, CHU Grenoble Alpes, France
| | | | - Véronique Bourg
- Médecine physique et réadaptation pédiatrique, CHU Grenoble Alpes, France - Centre de référence national des anomalies développementales, clinique multidisciplinaire AMC, CHU Grenoble Alpes, France
| | - Klaus Dieterich
- Université Grenoble Alpes, Inserm U1209, IAB, CHU Grenoble Alpes, Génétique Médicale, France - Centre de référence national des anomalies développementales, clinique multidisciplinaire AMC, CHU Grenoble Alpes, France
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Barzaghi L, Brero F, Cabini RF, Paoletti M, Monforte M, Lizzi F, Santini F, Deligianni X, Bergsland N, Ravaglia S, Cavagna L, Diamanti L, Bonizzoni C, Lascialfari A, Figini S, Ricci E, Postuma I, Pichiecchio A. Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 256:108399. [PMID: 39236561 DOI: 10.1016/j.cmpb.2024.108399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 08/25/2024] [Accepted: 08/26/2024] [Indexed: 09/07/2024]
Abstract
Magnetic Resonance (MR) parameters mapping in muscle Magnetic Resonance Imaging (mMRI) is predominantly performed using pattern recognition-based algorithms, which are characterised by high computational costs and scalability issues in the context of multi-parametric mapping. Deep Learning (DL) has been demonstrated to be a robust and efficient method for rapid MR parameters mapping. However, its application in mMRI domain to investigate Neuromuscular Disorders (NMDs) has not yet been explored. In addition, data-driven DL models suffered in interpretation and explainability of the learning process. We developed a Physics Informed Neural Network called Myo-Regressor Deep Informed Neural NetwOrk (Myo-DINO) for efficient and explainable Fat Fraction (FF), water-T2 (wT2) and B1 mapping from a cohort of NMDs.A total of 2165 slices (232 subjects) from Multi-Echo Spin Echo (MESE) images were selected as the input dataset for which FF, wT2,B1 ground truth maps were computed using the MyoQMRI toolbox. This toolbox exploits the Extended Phase Graph (EPG) theory with a two-component model (water and fat signal) and slice profile to simulate the signal evolution in the MESE framework. A customized U-Net architecture was implemented as the Myo-DINO architecture. The squared L2 norm loss was complemented by two distinct physics models to define two 'Physics-Informed' loss functions: Cycling Loss 1 embedded a mono-exponential model to describe the relaxation of water protons, while Cycling Loss 2 incorporated the EPG theory with slice profile to model the magnetization dephasing under the effect of gradients and RF pulses. The Myo-DINO was trained with the hyperparameter value of the 'Physics-Informed' component held constant, i.e. λmodel = 1, while different hyperparameter values (λcnn) were applied to the squared L2 norm component in both the cycling loss. In particular, hard (λcnn=10), normal (λcnn=1) and self-supervised (λcnn=0) constraints were applied to gradually decrease the impact of the squared L2 norm component on the 'Physics Informed' term during the Myo-DINO training process. Myo-DINO achieved higher performance with Cycling Loss 2 for FF, wT2 and B1 prediction. In particular, high reconstruction similarity and quality (Structural Similarity Index > 0.92, Peak Signal to Noise ratio > 30.0 db) and small reconstruction error (Normalized Root Mean Squared Error < 0.038) to the reference maps were shown with self-supervised weighting of the Cycling Loss 2. In addition muscle-wise FF, wT2 and B1 predicted values showed good agreement with the reference values. The Myo-DINO has been demonstrated to be a robust and efficient workflow for MR parameters mapping in the context of mMRI. This provides preliminary evidence that it can be an effective alternative to the reference post-processing algorithm. In addition, our results demonstrate that Cycling Loss 2, which incorporates the Extended Phase Graph (EPG) model, provides the most robust and relevant physical constraints for Myo-DINO in this multi-parameter regression task. The use of Cycling Loss 2 with self-supervised constraint improved the explainability of the learning process because the network acquired domain knowledge solely in accordance with the assumptions of the EPG model.
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Affiliation(s)
- Leonardo Barzaghi
- Department of Mathematics, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy; Advanced Imaging and Artificial Intelligence Center, Department of Neuroradiology, IRCCS Mondino, Foundation, Via Mondino 2, 27100 Pavia, Italy; INFN, Istituto Nazionale di Fisica Nucleare, Pavia Unit, Via Bassi 6, 27100, Pavia, Italy.
| | - Francesca Brero
- INFN, Istituto Nazionale di Fisica Nucleare, Pavia Unit, Via Bassi 6, 27100, Pavia, Italy; Department of Physics, University of Pavia, Via Bassi 6, 27100, Pavia, Italy
| | - Raffaella Fiamma Cabini
- Department of Mathematics, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy; INFN, Istituto Nazionale di Fisica Nucleare, Pavia Unit, Via Bassi 6, 27100, Pavia, Italy; Euler Institute, Università della Svizzera Italiana, Via la Santa 1, 6962 Lugano, Switzerland
| | - Matteo Paoletti
- Advanced Imaging and Artificial Intelligence Center, Department of Neuroradiology, IRCCS Mondino, Foundation, Via Mondino 2, 27100 Pavia, Italy
| | - Mauro Monforte
- UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Francesca Lizzi
- INFN, Istituto Nazionale di Fisica Nucleare, Pisa Unit, Largo Bruno Pontecorvo, 3, 56127 Pisa PI, Italy
| | - Francesco Santini
- Department of Radiology, University Hospital Basel, Basel, Switzerland; Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Xeni Deligianni
- Department of Radiology, University Hospital Basel, Basel, Switzerland; Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Niels Bergsland
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University of Buffalo, The State University of New York, Buffalo, NY, United State; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | | | - Lorenzo Cavagna
- Division of Rheumatology, University and IRCCS Policlinico S. Matteo Foudation, Pavia, Italy
| | - Luca Diamanti
- Neuroncology/Neuroinflammation Unit, IRCCS Mondino Foundation
| | - Chiara Bonizzoni
- Advanced Imaging and Artificial Intelligence Center, Department of Neuroradiology, IRCCS Mondino, Foundation, Via Mondino 2, 27100 Pavia, Italy
| | - Alessandro Lascialfari
- INFN, Istituto Nazionale di Fisica Nucleare, Pavia Unit, Via Bassi 6, 27100, Pavia, Italy; Department of Physics, University of Pavia, Via Bassi 6, 27100, Pavia, Italy
| | - Silvia Figini
- Department of Social and Political Science, University of Pavia, Corso Carlo Alberto 3, 27100 Pavia, Italy; BioData Science Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Enzo Ricci
- UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Ian Postuma
- INFN, Istituto Nazionale di Fisica Nucleare, Pavia Unit, Via Bassi 6, 27100, Pavia, Italy; Department of Physics, University of Pavia, Via Bassi 6, 27100, Pavia, Italy
| | - Anna Pichiecchio
- Advanced Imaging and Artificial Intelligence Center, Department of Neuroradiology, IRCCS Mondino, Foundation, Via Mondino 2, 27100 Pavia, Italy; Department of Brain and Behavioural Sciences, University of Pavia, Via Mondino 2, 27100 Pavia, Italy
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6
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Voermans N, Vissing J. A disease-specific therapy in facioscapulohumeral muscular dystrophy. Lancet Neurol 2024; 23:449-451. [PMID: 38631753 DOI: 10.1016/s1474-4422(24)00129-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/19/2024]
Affiliation(s)
- Nicol Voermans
- Department of Neurology, Radboudumc Research Institute for Medical Innovation, Nijmegen, Netherlands
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark.
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7
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Bittel AJ, Bittel DC, Gordish-Dressman H, Chen YW. Voluntary wheel running improves molecular and functional deficits in a murine model of facioscapulohumeral muscular dystrophy. iScience 2024; 27:108632. [PMID: 38188524 PMCID: PMC10770537 DOI: 10.1016/j.isci.2023.108632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/11/2023] [Accepted: 11/30/2023] [Indexed: 01/09/2024] Open
Abstract
Endurance exercise training is beneficial for skeletal muscle health, but it is unclear if this type of exercise can target or correct the molecular mechanisms of facioscapulohumeral muscular dystrophy (FSHD). Using the FLExDUX4 murine model of FSHD characterized by chronic, low levels of pathological double homeobox protein 4 (DUX4) gene expression, we show that 6 weeks of voluntary, free wheel running improves running performance, strength, mitochondrial function, and sarcolemmal repair capacity, while slowing/reversing skeletal muscle fibrosis. These improvements are associated with restored transcriptional activity of gene networks/pathways regulating actin cytoskeletal signaling, vascular remodeling, inflammation, fibrosis, and muscle mass toward wild-type (WT) levels. However, FLExDUX4 mice exhibit blunted increases in mitochondrial content with training and persistent transcriptional overactivation of hypoxia, inflammatory, angiogenic, and cytoskeletal pathways. These results identify exercise-responsive and non-responsive molecular pathways in FSHD, while providing support for the use of endurance-type exercise as a non-invasive treatment option.
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Affiliation(s)
- Adam J. Bittel
- Center for Genetic Medicine Research, Children’s National Hospital, Washington, DC 20012, USA
| | - Daniel C. Bittel
- Center for Genetic Medicine Research, Children’s National Hospital, Washington, DC 20012, USA
| | | | - Yi-Wen Chen
- Center for Genetic Medicine Research, Children’s National Hospital, Washington, DC 20012, USA
- Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20052, USA
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8
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Kroon RHMJM, Kalf JG, de Swart BJM, Heskamp L, de Rooy JWJ, van Engelen BGM, Horlings CGC. Muscle MRI in Patients With Oculopharyngeal Muscular Dystrophy: A Longitudinal Study. Neurology 2024; 102:e207833. [PMID: 38165364 PMCID: PMC10834117 DOI: 10.1212/wnl.0000000000207833] [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: 07/07/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Oculopharyngeal muscular dystrophy (OPMD) is a rare progressive neuromuscular disease. MRI is one of the techniques that is used in neuromuscular disorders to evaluate muscle alterations. The aim of this study was to describe the pattern of fatty infiltration of orofacial and leg muscles using quantitative muscle MRI in a large national cohort and to determine whether MRI can be used as an imaging biomarker of disease progression in OPMD. METHODS Patients with OPMD (18 years or older) were invited from the national neuromuscular database or by their treating physicians and were examined twice with an interval of 20 months, with quantitative MRI of orofacial and leg muscles to assess fatty infiltration which were compared with clinical measures. RESULTS In 43 patients with genetically confirmed OPMD, the muscles that were affected most severely were the tongue (mean fat fraction: 37.0%, SD 16.6), adductor magnus (31.9%; 27.1), and soleus (27.9%; 21.5) muscles. The rectus femoris and tibialis anterior muscles were least severely affected (mean fat fractions: 6.8%; SD 4.7, 7.5%; 5.9). Eleven of 14 significant correlations were found between fat fraction and a clinical task in the corresponding muscles (r = -0.312 to -0.769, CI = -0.874 to -0.005). At follow-up, fat fractions had increased significantly in 17 of the 26 muscles: mean 1.7% in the upper leg muscles (CI = 0.8-2.4), 1.7% (1.0-2.3) in the lower leg muscles, and 1.9% (0.6-3.3) in the orofacial muscles (p < 0.05). The largest increase was seen for the soleus (3.8%, CI = 2.5-5.1). Correlations were found between disease duration and repeat length vs increased fat fraction in 7 leg muscles (r = 0.323 to -0.412, p < 0.05). DISCUSSION According to quantitative muscle MRI, the tongue, adductor magnus and soleus show the largest fat infiltration levels in patients with OPMD. Fat fractions increased in several orofacial and leg muscles over 20 months, with the largest fat fraction increase seen in the soleus. This study supports that this technique is sensitive enough to show worsening in fat fractions of orofacial and leg muscles and therefore a responsive biomarker for future clinical trials.
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Affiliation(s)
- Rosemarie H M J M Kroon
- From the Departments of Rehabilitation (R.H.M.J.M.K., J.G.K., B.J.M.d.S.) and Neurology (B.G.M.v.E., C.G.C.H.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen; Department of Radiology (L.H.), University Medical Centre Utrecht; Department of Imaging (J.W.J.d.R.), Radboud University Medical Center, Nijmegen; and Department of Neurology (C.G.C.H.), Medical University of Innsbruck, Austria
| | - Johanna G Kalf
- From the Departments of Rehabilitation (R.H.M.J.M.K., J.G.K., B.J.M.d.S.) and Neurology (B.G.M.v.E., C.G.C.H.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen; Department of Radiology (L.H.), University Medical Centre Utrecht; Department of Imaging (J.W.J.d.R.), Radboud University Medical Center, Nijmegen; and Department of Neurology (C.G.C.H.), Medical University of Innsbruck, Austria
| | - Bert J M de Swart
- From the Departments of Rehabilitation (R.H.M.J.M.K., J.G.K., B.J.M.d.S.) and Neurology (B.G.M.v.E., C.G.C.H.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen; Department of Radiology (L.H.), University Medical Centre Utrecht; Department of Imaging (J.W.J.d.R.), Radboud University Medical Center, Nijmegen; and Department of Neurology (C.G.C.H.), Medical University of Innsbruck, Austria
| | - Linda Heskamp
- From the Departments of Rehabilitation (R.H.M.J.M.K., J.G.K., B.J.M.d.S.) and Neurology (B.G.M.v.E., C.G.C.H.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen; Department of Radiology (L.H.), University Medical Centre Utrecht; Department of Imaging (J.W.J.d.R.), Radboud University Medical Center, Nijmegen; and Department of Neurology (C.G.C.H.), Medical University of Innsbruck, Austria
| | - Jacky W J de Rooy
- From the Departments of Rehabilitation (R.H.M.J.M.K., J.G.K., B.J.M.d.S.) and Neurology (B.G.M.v.E., C.G.C.H.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen; Department of Radiology (L.H.), University Medical Centre Utrecht; Department of Imaging (J.W.J.d.R.), Radboud University Medical Center, Nijmegen; and Department of Neurology (C.G.C.H.), Medical University of Innsbruck, Austria
| | - Baziel G M van Engelen
- From the Departments of Rehabilitation (R.H.M.J.M.K., J.G.K., B.J.M.d.S.) and Neurology (B.G.M.v.E., C.G.C.H.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen; Department of Radiology (L.H.), University Medical Centre Utrecht; Department of Imaging (J.W.J.d.R.), Radboud University Medical Center, Nijmegen; and Department of Neurology (C.G.C.H.), Medical University of Innsbruck, Austria
| | - Corinne G C Horlings
- From the Departments of Rehabilitation (R.H.M.J.M.K., J.G.K., B.J.M.d.S.) and Neurology (B.G.M.v.E., C.G.C.H.), Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen; Department of Radiology (L.H.), University Medical Centre Utrecht; Department of Imaging (J.W.J.d.R.), Radboud University Medical Center, Nijmegen; and Department of Neurology (C.G.C.H.), Medical University of Innsbruck, Austria
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9
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Jensen SM, Friborg O, Mellgren SI, Müller KI, Bergvik S, Arntzen KA. Health-Related Quality of Life in FKRP-Related Limb-Girdle Muscular Dystrophy R9. J Neuromuscul Dis 2024; 11:59-74. [PMID: 37927270 PMCID: PMC10789334 DOI: 10.3233/jnd-221629] [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] [Accepted: 10/04/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Limb-girdle muscular dystrophy R9 (LGMDR9) is a chronic progressive hereditary muscle disease, related to the Fukutin Related Protein (FKRP) gene, that may cause major disabilities, cardiomyopathy, and ventilatory failure. Knowledge of how LGMDR9 affects health-related quality of life (HRQoL) is relevant in treatment and care. OBJECTIVE To investigate HRQoL in the Norwegian LGMDR9 population over 14 months and relation to fatigue and sleep quality. METHODS Participants (16+ years) of the Norwegian LGMDR9 cohort study completed two HRQoL measures, i.e., Individualized Neuromuscular Quality of Life questionnaire (INQoL) and the 36-item Short Form (SF-36) at baseline, 8, and 14 months and measures of fatigue and sleep quality at 9 months. RESULTS HRQoL response rate was 84/90 (75 c.826 C > A homozygotes and nine c.826 C > A compound heterozygotes). Compared to Norwegian normative data, all SF-36 domain scores were impaired (p≤0.006) except mental health in males (p = 0.05) and pain scores. During 14 months, perceived muscle weakness and the INQoL index (disease burden) worsened in c.826 C > A homozygotes. Compound heterozygotes reported more dysphagia and physical difficulties than homozygotes and showed a tendency towards worsening in weakness over time but some improvement on the INQoL index. Homozygous females reported generally poorer HRQoL and a higher burden than males. The INQoL index was related to perceived muscle weakness and fatigue, and fatigue to myalgia and mental distress. The prevalence of fatigue and poor sleep was 40% and 49%, respectively. CONCLUSIONS The 14-month follow-up period shows a worsening of perceived weakness and burden in c.826 C > A homozygotes, which can then be expected. The prevalence and impact of fatigue indicate a need for awareness and treatment of fatigue. Myalgia and mental distress are potential targets in the treatment of fatigue, which future studies need to establish. Sleep issues and gender-specific care needs also require attention in LGMDR9.
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Affiliation(s)
- Synnøve M. Jensen
- National Neuromuscular Centre Norway and Department of Neurology, University Hospital of North Norway (UNN), Tromsø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø –The Artic University of Norway, Tromsø, Norway
| | - Oddgeir Friborg
- Department of Psychology, Faculty of Health Sciences, University of Tromsø –The Artic University of Norway, Tromsø, Norway
| | - Svein Ivar Mellgren
- National Neuromuscular Centre Norway and Department of Neurology, University Hospital of North Norway (UNN), Tromsø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø –The Artic University of Norway, Tromsø, Norway
| | - Kai Ivar Müller
- National Neuromuscular Centre Norway and Department of Neurology, University Hospital of North Norway (UNN), Tromsø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø –The Artic University of Norway, Tromsø, Norway
- Department of Neurology, Sørlandet Hospital Trust, Kristiansand, Norway
| | - Svein Bergvik
- Department of Psychology, Faculty of Health Sciences, University of Tromsø –The Artic University of Norway, Tromsø, Norway
| | - Kjell Arne Arntzen
- National Neuromuscular Centre Norway and Department of Neurology, University Hospital of North Norway (UNN), Tromsø, Norway
- Department of Clinical Medicine, Faculty of Health Sciences, University of Tromsø –The Artic University of Norway, Tromsø, Norway
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10
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Edwards V, Vari C, Rose M, Graham CD, O'Connell N, Taylor E, McCracken LM, Radunovic A, Rakowicz W, Norton S, Chalder T. Participant experiences of guided self-help Acceptance and Commitment Therapy for improving quality of life in muscle disease: a nested qualitative study within the ACTMus randomized controlled trial. Front Psychol 2023; 14:1233526. [PMID: 38106380 PMCID: PMC10722278 DOI: 10.3389/fpsyg.2023.1233526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 10/30/2023] [Indexed: 12/19/2023] Open
Abstract
Introduction In adults, muscle disease (MD) is typically a chronic long-term condition that can lead to a reduced quality of life (QoL). Previous research suggests that a psychological intervention, in particular Acceptance and Commitment Therapy (ACT), may help improve QoL for individuals living with chronic conditions such as MD. Methods This nested qualitative study was incorporated within a randomized controlled trial which evaluated a guided self-help ACT intervention for people living with MD to explore their experiences of the intervention. Semi-structured interviews (n = 20) were conducted with those who had received ACT. Data were analyzed via thematic analysis. Results There were four overarching themes. (1) Views on whether therapy sessions would help with a medical condition: participants' expectations regarding ACT varied. Some participants were skeptical about mindfulness. (2) I was able to look at things in a different way: participants described increased meaningful activity, greater awareness of thoughts and emotions and acceptance or adaptation to mobility problems. Some described improvement in the quality of relationships and a sense of feeling free. (3) Treating the body and the mind together: following the intervention participants noted that a holistic approach to healthcare is beneficial. (4) Intervention delivery: The remote delivery was generally seen as helpful for practical reasons and allowed participants to speak openly. Participants voiced a need for follow-up sessions. Discussion Overall, the intervention was experienced as acceptable. Suggested improvements included de-emphasizing the role of mindfulness and adding follow-up sessions.
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Affiliation(s)
- Victoria Edwards
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Chiara Vari
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Michael Rose
- Department of Neurology, King's College Hospital, London, United Kingdom
| | - Christopher D. Graham
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Nicola O'Connell
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Emma Taylor
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | | | | | - Wojtek Rakowicz
- Wessex Neurological Service, University Hospital Southampton, Southampton, United Kingdom
| | - Sam Norton
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Department of Inflammation Biology, Centre for Rheumatic Disease, Faculty of Life Sciences and Medicine, King's College London, Weston Education Centre, London, United Kingdom
| | - Trudie Chalder
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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11
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Reyngoudt H, Baudin PY, Carlier PG, Lopez Kolkovsky AL, de Almeida Araujo EC, Marty B. New Insights into the Spread of MRS-Based Water T2 Values Observed in Highly Fatty Replaced Muscles. J Magn Reson Imaging 2023; 58:1557-1568. [PMID: 36877200 DOI: 10.1002/jmri.28669] [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: 09/20/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND The reference standard for assessing water T2 (T2,H2O ) at high fat fraction (FF) is 1 H MRS. T2,H2O (T2,H2O,MRS ) dependence on FF (FFMRS ) has recently been demonstrated in muscle at high FF (i.e. ≥60%). PURPOSE To investigate the relationship between T2,H2O,MRS and FFMRS in the thigh/leg muscles of patients with neuromuscular diseases and to compare with quantitative MRI. STUDY TYPE Retrospective case-control study. POPULATION A total of 151 patients with neuromuscular disorders (mean age ± standard deviation = 52.5 ± 22.6 years, 54% male), 44 healthy volunteers (26.5 ± 13.0 years, 57% male). FIELD STRENGTH/SEQUENCE A 3-T; single-voxel stimulated echo acquisition mode (STEAM) MRS, multispin echo (MSE) imaging (for T2 mapping, T2,H2O,MRI ), three-point Dixon imaging (for FFMRI andR 2 * mapping). ASSESSMENT Mono-exponential and bi-exponential models were fitted to water T2 decay curves to extract T2,H2O,MRS and FFMRS . Water resonance full-width-at-half-maximum (FWHM) and B0 spread (∆B0 ) values were calculated. T2,H2O,MRI (mean), FFMRI (mean, kurtosis, and skewness), andR 2 * (mean) values were estimated in the MRS voxel. STATISTICAL TESTS Mann-Whitney U tests, Kruskal-Wallis tests. A P-value <0.05 was considered statistically significant. RESULTS Normal T2,H2O,MRS threshold was defined as the 90th percentile in healthy controls: 30.3 msec. T2,H2O,MRS was significantly higher in all patients with FFMRS < 60% compared to healthy controls. We discovered two subgroups in patients with FFMRS ≥ 60%: one with T2,H2O,MRS ≥ 30.3 msec and one with T2,H2O,MRS < 30.3 msec including abnormally low T2,H2O,MRS . The latter subgroup had significantly higher water resonance FWHM, ∆B0 , FFMRI kurtosis, and skewness values but nonsignificantly differentR 2 * (P = 1.00) and long T2,H2O,MRS component and its fraction (P > 0.11) based on the bi-exponential analysis. DATA CONCLUSION The findings suggest that the cause for (abnormally) T2,H2O,MRS at high FFMRS is biophysical, due to differences in susceptibility between muscle and fat (increased FWHM and ∆B0 ), rather than pathophysiological such as compartmentation changes, which would be reflected by the bi-exponential analysis. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre-Yves Baudin
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre G Carlier
- Université Paris Saclay, CEA, Service Hospitalier Frédéric Joliot, Orsay, France
| | | | | | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
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12
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Pomp L, Jeneson JAL, van der Pol WL, Bartels B. Electrophysiological and Imaging Biomarkers to Evaluate Exercise Training in Patients with Neuromuscular Disease: A Systematic Review. J Clin Med 2023; 12:6834. [PMID: 37959299 PMCID: PMC10647337 DOI: 10.3390/jcm12216834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 11/15/2023] Open
Abstract
Exercise therapy as part of the clinical management of patients with neuromuscular diseases (NMDs) is complicated by the limited insights into its efficacy. There is an urgent need for sensitive and non-invasive quantitative muscle biomarkers to monitor the effects of exercise training. Therefore, the objective of this systematic review was to critically appraise and summarize the current evidence for the sensitivity of quantitative, non-invasive biomarkers, based on imaging and electrophysiological techniques, for measuring the effects of physical exercise training. We identified a wide variety of biomarkers, including imaging techniques, i.e., magnetic resonance imaging (MRI) and ultrasound, surface electromyography (sEMG), magnetic resonance spectroscopy (MRS), and near-infrared spectroscopy (NIRS). Imaging biomarkers, such as muscle maximum area and muscle thickness, and EMG biomarkers, such as compound muscle action potential (CMAP) amplitude, detected significant changes in muscle morphology and neural adaptations following resistance training. MRS and NIRS biomarkers, such as initial phosphocreatine recovery rate (V), mitochondrial capacity (Qmax), adenosine phosphate recovery half-time (ADP t1/2), and micromolar changes in deoxygenated hemoglobin and myoglobin concentrations (Δ[deoxy(Hb + Mb)]), detected significant adaptations in oxidative metabolism after endurance training. We also identified biomarkers whose clinical relevance has not yet been assessed due to lack of sufficient study.
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Affiliation(s)
- Lisa Pomp
- Child Development and Exercise Center, Wilhelmina Children’s Hospital, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Jeroen Antonius Lodewijk Jeneson
- Child Development and Exercise Center, Wilhelmina Children’s Hospital, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - W. Ludo van der Pol
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Bart Bartels
- Child Development and Exercise Center, Wilhelmina Children’s Hospital, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
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13
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Böhne LÄ, Wirner C, Schoser B, Schröter C, Baum P. Frequency and satisfaction of conventional and complementary or alternative therapies for neuromuscular disorders. Neurol Res Pract 2023; 5:53. [PMID: 37822002 PMCID: PMC10568802 DOI: 10.1186/s42466-023-00281-5] [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: 05/26/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Causal therapies are not yet available for most neuromuscular diseases. Additionally, data on the use of complementary or alternative therapies (CAM) in patients groups with a variety of different neuromuscular diseases are rare. This retrospective cross-sectional study aims to record the frequency of use and satisfaction of conventional therapies and complementary or alternative medicine (CAM) in patients with neuromuscular disorders in order to compare them afterwards. METHODS Patients from the University of Leipzig (Department and Outpatient Department of Neurology), the Friedrich-Baur-Institute (Department of Neurology), the Hoher Meißner Clinic (Department of Neurology) and the German Society for Muscular Diseases (DGM e.V.) were included. The focus of this study has been on patients with chronic neuromuscular diseases. Our data are based on standardised questionnaires in analogue form from three German neuromuscular centres and in digital form from the official website of the German Society for Muscular Diseases. Therapy satisfaction was assessed with the Patient Evaluation of Global Response (PEGR) ranking scale (very satisfactory + 2 to very unsatisfactory - 2). RESULTS Of 192 questionnaires analysed, the most common diagnoses were spinal muscular atrophy (n = 42; 21.9%), muscular dystrophies (n = 41; 21.4%) and myotonic dystrophies (n = 38; 19.8%). More than half (n = 112; 58.3%) used both conventional and CAM treatments. Physiotherapy (n = 165) was used most frequently within all treatments with conventional manual (PEGR 1.25, p = 0.013; CI 95%) and aquatic therapy (PEGR 1.3, p = 0.038) showing significantly higher satisfaction compared to therapy on training equipment. Less-used therapies such as psychotherapy (n = 53; PEGR 1.2) were also satisfactory. Within CAM, massages (n = 96) were the most reported and meditation (PEGR 1.5) was best rated. Massage therapy was significantly more satisfactory than progressive muscle relaxation (p = 0.003) and chiropractic treatment (p = 0.036). Chiropractic treatment (PEGR - 0.1) was rated most negatively. No significant differences were found between the group of conventional therapies and CAM users regarding social and disease-dependent factors. CONCLUSIONS Treatment with conventional therapy (manual, aquatic therapy) and some CAM therapies can be recommended if adequately indicated.
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Affiliation(s)
- Lene Änne Böhne
- Department and Outpatient Department of Neurology, University of Leipzig (UKL), Liebigstraße 20, 04103, Leipzig, Germany.
| | - Corinna Wirner
- Department of Neurology, Friedrich-Baur-Institute, Ludwig-Maximilians-University, Ziemssenstraße 1, 80336, Munich, Germany
| | - Benedikt Schoser
- Department of Neurology, Friedrich-Baur-Institute, Ludwig-Maximilians-University, Ziemssenstraße 1, 80336, Munich, Germany
| | - Carsten Schröter
- Department of Neurology, Hoher Meißner Clinic, Hardtstraße 36, 37242, Bad Sooden-Allendorf, Germany
| | - Petra Baum
- Department and Outpatient Department of Neurology, University of Leipzig (UKL), Liebigstraße 20, 04103, Leipzig, Germany
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14
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Enax-Krumova E, Forsting J, Rohm M, Schwenkreis P, Tegenthoff M, Meyer-Frießem CH, Schlaffke L. Quantitative muscle magnetic resonance imaging depicts microstructural abnormalities but no signs of inflammation or dystrophy in post-COVID-19 condition. Eur J Neurol 2023; 30:970-981. [PMID: 36693812 DOI: 10.1111/ene.15709] [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: 11/22/2022] [Revised: 12/22/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE Post-COVID-19 condition (PCC) has high impact on quality of life, with myalgia and fatigue affecting at least 25% of PCC patients. This case-control study aims to noninvasively assess muscular alterations via quantitative muscle magnetic resonance imaging (MRI) as possible mechanisms for ongoing musculoskeletal complaints and premature exhaustion in PCC. METHODS Quantitative muscle MRI was performed on a 3 Tesla MRI scanner of the whole legs in PCC patients compared to age- and sex-matched healthy controls, including a Dixon sequence to determine muscle fat fraction (FF), a multi-echo spin-echo sequence for quantitative water mapping reflecting putative edema, and a diffusion-weighted spin-echo echo-planar imaging sequence to assess microstructural alterations. Clinical examination, nerve conduction studies, and serum creatine kinase were performed in all patients. Quantitative muscle MRI results were correlated to the results of the 6-min walk test and standardized questionnaires assessing quality of life, fatigue, and depression. RESULTS Twenty PCC patients (female: n = 15, age = 48.8 ± 10.1 years, symptoms duration = 13.4 ± 4.2 months, body mass index [BMI] = 28.8 ± 4.7 kg/m2 ) were compared to 20 healthy controls (female: n = 15, age = 48.1 ± 11.1 years, BMI = 22.9 ± 2.2 kg/m2 ). Neither FF nor T2 revealed signs of muscle degeneration or inflammation in either study groups. Diffusion tensor imaging (DTI) revealed reduced mean, axial, and radial diffusivity in the PCC group. CONCLUSIONS Quantitative muscle MRI did not depict any signs of ongoing inflammation or dystrophic process in the skeletal muscles in PCC patients. However, differences observed in muscle DTI depict microstructural abnormalities, which may reflect potentially reversible fiber hypotrophy due to deconditioning. Further longitudinal and interventional studies should prove this hypothesis.
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Affiliation(s)
- Elena Enax-Krumova
- Department of Neurology, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Johannes Forsting
- Department of Neurology, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Marlena Rohm
- Department of Neurology, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
- Heimer Institute for Muscle Research, BG University Hospital Bergmannsheil, Bochum, Germany
| | - Peter Schwenkreis
- Department of Neurology, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Martin Tegenthoff
- Department of Neurology, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Christine H Meyer-Frießem
- Department of Anaesthesiology, Intensive Care, and Pain Management, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Lara Schlaffke
- Department of Neurology, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
- Heimer Institute for Muscle Research, BG University Hospital Bergmannsheil, Bochum, Germany
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15
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Tihaya MS, Mul K, Balog J, de Greef JC, Tapscott SJ, Tawil R, Statland JM, van der Maarel SM. Facioscapulohumeral muscular dystrophy: the road to targeted therapies. Nat Rev Neurol 2023; 19:91-108. [PMID: 36627512 PMCID: PMC11578282 DOI: 10.1038/s41582-022-00762-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2022] [Indexed: 01/11/2023]
Abstract
Advances in the molecular understanding of facioscapulohumeral muscular dystrophy (FSHD) have revealed that FSHD results from epigenetic de-repression of the DUX4 gene in skeletal muscle, which encodes a transcription factor that is active in early embryonic development but is normally silenced in almost all somatic tissues. These advances also led to the identification of targets for disease-altering therapies for FSHD, as well as an improved understanding of the molecular mechanism of the disease and factors that influence its progression. Together, these developments led the FSHD research community to shift its focus towards the development of disease-modifying treatments for FSHD. This Review presents advances in the molecular and clinical understanding of FSHD, discusses the potential targeted therapies that are currently being explored, some of which are already in clinical trials, and describes progress in the development of FSHD-specific outcome measures and assessment tools for use in future clinical trials.
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Affiliation(s)
- Mara S Tihaya
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Karlien Mul
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Judit Balog
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jessica C de Greef
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Stephen J Tapscott
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rabi Tawil
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Jeffrey M Statland
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA
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16
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Vegezzi E, Cortese A, Bergsland N, Mussinelli R, Paoletti M, Solazzo F, Currò R, Ascagni L, Callegari I, Quartesan I, Lozza A, Deligianni X, Santini F, Marchioni E, Cosentino G, Alfonsi E, Tassorelli C, Bastianello S, Merlini G, Palladini G, Obici L, Pichiecchio A. Muscle quantitative MRI as a novel biomarker in hereditary transthyretin amyloidosis with polyneuropathy: a cross-sectional study. J Neurol 2023; 270:328-339. [PMID: 36064814 DOI: 10.1007/s00415-022-11336-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND The development of reproducible and sensitive outcome measures has been challenging in hereditary transthyretin (ATTRv) amyloidosis. Recently, quantification of intramuscular fat by magnetic resonance imaging (MRI) has proven as a sensitive marker in patients with other genetic neuropathies. The aim of this study was to investigate the role of muscle quantitative MRI (qMRI) as an outcome measure in ATTRv. METHODS Calf- and thigh-centered multi-echo T2-weighted spin-echo and gradient-echo sequences were obtained in patients with ATTRv amyloidosis with polyneuropathy (n = 24) and healthy controls (n = 12). Water T2 (wT2) and fat fraction (FF) were calculated. Neurological assessment was performed in all ATTRv subjects. Quantitative MRI parameters were correlated with clinical and neurophysiological measures of disease severity. RESULTS Quantitative imaging revealed significantly higher FF in lower limb muscles in patients with ATTRv amyloidosis compared to controls. In addition, wT2 was significantly higher in ATTRv patients. There was prominent involvement of the posterior compartment of the thighs. Noticeably, FF and wT2 did not exhibit a length-dependent pattern in ATTRv patients. MRI biomarkers correlated with previously validated clinical outcome measures, Polyneuropathy Disability scoring system, Neuropathy Impairment Score (NIS) and NIS-lower limb, and neurophysiological parameters of axonal damage regardless of age, sex, treatment and TTR mutation. CONCLUSIONS Muscle qMRI revealed significant difference between ATTRv and healthy controls. MRI biomarkers showed high correlation with clinical and neurophysiological measures of disease severity making qMRI as a promising tool to be further investigated in longitudinal studies to assess its role at monitoring onset, progression, and therapy efficacy for future clinical trials on this treatable condition.
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Affiliation(s)
- Elisa Vegezzi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Neuroncology and Neuroinflammation Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Andrea Cortese
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. .,Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK.
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Roberta Mussinelli
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Matteo Paoletti
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Francesca Solazzo
- Specialization School in Occupational Medicine, University of Pavia, Pavia, Italy
| | - Riccardo Currò
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Department of Neuromuscular Disease, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Lucia Ascagni
- Neuroscience Department, Meyer Children's University Hospital, University of Florence, Florence, Italy
| | - Ilaria Callegari
- Department of Biomedicine, University Hospital Basel, University of Basel, Hebelstrasse 20, 4031, Basel, Switzerland
| | - Ilaria Quartesan
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Alessandro Lozza
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Xeni Deligianni
- Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland.,Department of Biomedical Engineering, Basel Muscle MRI Group, University of Basel, Allschwil, Switzerland
| | - Francesco Santini
- Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland.,Department of Biomedical Engineering, Basel Muscle MRI Group, University of Basel, Allschwil, Switzerland
| | - Enrico Marchioni
- Neuroncology and Neuroinflammation Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Giuseppe Cosentino
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Translational Neurophysiology Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Enrico Alfonsi
- Translational Neurophysiology Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Cristina Tassorelli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Headache Science and Neurorehabilitation Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Stefano Bastianello
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Giampaolo Merlini
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.,Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Giovanni Palladini
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.,Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Laura Obici
- Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
| | - Anna Pichiecchio
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
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Correlation between whole body muscle MRI and functional measures in paediatric patients with facioscapulohumeral muscular dystrophy. Neuromuscul Disord 2023; 33:15-23. [PMID: 36522253 DOI: 10.1016/j.nmd.2022.11.006] [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: 01/05/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 11/26/2022]
Abstract
Symptoms and severity of facioscapulohumeral muscular dystrophy (FSHD) can vary greatly, even within the same family. Clinical trial readiness requires accurate and reliable methods of assessing disease stage and progression. MRI has not previously been assessed as a disease biomarker in paediatric FSHD. Eleven patients with FSHD1 underwent whole body muscle MRI. Pre-selected muscles were analysed by a paediatric radiologist using the semi-quantitative Mercuri/Kim method. Within each domain (oedema, fat replacement, atrophy) scores for each muscle were then summated to give each participant three cumulative domain scores. The same participants had functional measures scored: FSHD-CSS (Ricci), FSHD-CS (Lamperti), FSHD-COM, PUL2.0, MFM-32, 6MWT, myometry and manual muscle testing. Pearson coefficient was calculated to determine strength of correlation. The scores for atrophy and fat replacement showed strong correlation with functional outcome measures, particularly FSHD-CSS, FSHD-CS and FSHD-COM. In contrast, muscle oedema correlated poorly with all functional outcome measures, with no relationship seen to the 6MWT. This study of eleven children suggests that semi-quantitative visual Mercuri score utilising fat replacement or atrophy on whole body muscle MRI correlates strongly with disease-specific functional measures and may be a useful measure of disease severity in paediatric FSHD.
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18
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Colelli G, Barzaghi L, Paoletti M, Monforte M, Bergsland N, Manco G, Deligianni X, Santini F, Ricci E, Tasca G, Mira A, Figini S, Pichiecchio A. Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease. Front Neurol 2023; 14:1105276. [PMID: 36908599 PMCID: PMC9999017 DOI: 10.3389/fneur.2023.1105276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/30/2023] [Indexed: 03/14/2023] Open
Abstract
Purpose Quantitative Muscle MRI (qMRI) is a valuable and non-invasive tool to assess disease involvement and progression in neuromuscular disorders being able to detect even subtle changes in muscle pathology. The aim of this study is to evaluate the feasibility of using a conventional short-tau inversion recovery (STIR) sequence to predict fat fraction (FF) and water T2 (wT2) in skeletal muscle introducing a radiomic workflow with standardized feature extraction combined with machine learning algorithms. Methods Twenty-five patients with facioscapulohumeral muscular dystrophy (FSHD) were scanned at calf level using conventional STIR sequence and qMRI techniques. We applied and compared three different radiomics workflows (WF1, WF2, WF3), combined with seven Machine Learning regression algorithms (linear, ridge and lasso regression, tree, random forest, k-nearest neighbor and support vector machine), on conventional STIR images to predict FF and wT2 for six calf muscles. Results The combination of WF3 and K-nearest neighbor resulted to be the best predictor model of qMRI parameters with a mean absolute error about ± 5 pp for FF and ± 1.8 ms for wT2. Conclusion This pilot study demonstrated the possibility to predict qMRI parameters in a cohort of FSHD subjects starting from conventional STIR sequence.
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Affiliation(s)
- Giulia Colelli
- Department of Mathematics, University of Pavia, Pavia, Italy.,Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.,INFN, Group of Pavia, Pavia, Italy
| | - Leonardo Barzaghi
- Department of Mathematics, University of Pavia, Pavia, Italy.,Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Matteo Paoletti
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Mauro Monforte
- UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Niels Bergsland
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University of Buffalo, The State University of New York, Buffalo, NY, United States.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Giulia Manco
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Xeni Deligianni
- Department of Radiology, University Hospital Basel, Basel, Switzerland.,Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Francesco Santini
- Department of Radiology, University Hospital Basel, Basel, Switzerland.,Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Enzo Ricci
- UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giorgio Tasca
- UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.,John Walton Muscular Dystrophy Research Centre, Newcastle University and Newcastle Hospitals NHS Foundation Trusts, Newcastle upon Tyne, United Kingdom
| | - Antonietta Mira
- Data Science Lab, Università della Svizzera italiana, Lugano, Switzerland.,Department of Science and High Technology, University of Insubria, Como, Italy
| | - Silvia Figini
- Department of Political and Social Sciences, University of Pavia, Pavia, Italy.,BioData Science Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Anna Pichiecchio
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
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19
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Mul K. Facioscapulohumeral Muscular Dystrophy. Continuum (Minneap Minn) 2022; 28:1735-1751. [PMID: 36537978 DOI: 10.1212/con.0000000000001155] [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: 12/24/2022]
Abstract
PURPOSE OF REVIEW This article reviews the current knowledge on the clinical characteristics and disease mechanism of facioscapulohumeral muscular dystrophy (FSHD), as well as advances in targeted therapy development. RECENT FINDINGS FSHD has a wide range of severity, yet a distinct phenotype characterized by weakness of the facial, shoulder, and upper arm muscles, followed by weakness of the trunk and leg muscles. It can be caused by two genetic mechanisms that share a common downstream pathway, namely, the epigenetic derepression and subsequent misexpression of the myotoxic DUX4 transcription factor. Treatment is currently supportive and outlined in evidence-based guidelines. Advances in the understanding of the pathogenic mechanism of FSHD are paving the way for targeted therapy development. Approaches for targeted therapies to reduce DUX4 expression that are currently being explored include small molecules, antisense oligonucleotides, vector-based RNA interference, and gene therapy. In anticipation of more clinical trials, "clinical trial preparedness," including the development of sensitive biomarkers and clinical outcome measures, are needed. SUMMARY The cornerstones of the diagnosis of FSHD are clinical observation and genetic testing. Management is currently supportive, but progress in the understanding of the disease mechanism has shifted the field of FSHD toward targeted therapy development.
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20
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Ramdharry GM, Anderson M. Exercise in myositis: What is important, the prescription or the person? Best Pract Res Clin Rheumatol 2022; 36:101772. [PMID: 35927155 DOI: 10.1016/j.berh.2022.101772] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Our aim for this narrative review was to undertake a search of studies into exercise for people living with Idiopathic Inflammatory myopathies (IIM). We explored the strength of existing evidence with a particular consideration for the implications for people living with IIM and what is important to them. The search strategy from the 2021 Cochrane Physical Activity review in neuromuscular disease was used, and we selected articles that included people with IIM, including Dermatomyositis (DM), Inclusion Body Myositis (IBM), Immune Mediated Necrotising Myopathy (IMNM) [also known as necrotizing autoimmune myopathy (NAM)], and Polymyositis (PM). 2967 records were screened and 16 were included in this review. Safety of exercise was demonstrated in nine articles, using a range of measures of disease activity, serum creatine kinase, indicators of inflammation, pain, or fatigue. Two studies that took muscle biopsies showed no evidence of increased inflammation. Aerobic exercise protocols were used in 8 studies across conditions and demonstrated improvements in cardiorespiratory fitness or exercise capacity. Six studies of strength training observed improvements in muscle function, with two studies reporting muscle biopsy results of amplified immune response and up regulation of genes related to recycling of damaged proteins. Nine of 13 studies that measures functional outcomes showed significant improvements, and evidence for behaviour change was observed in a study of a self-management intervention. The evidence of safety and effect of training is reassuring and welcome, and we now need to explore how we support people to incorporate exercise and physical activity longer term into active lifestyles.
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Affiliation(s)
- Gita M Ramdharry
- Queen Square Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London, UK; Department of Neuromuscular Diseases, UCL Institute of Neurology, London, UK.
| | - Martin Anderson
- Business Consultant and Director of Directed Evolution LTD and Directed Evolution, Resilience LTD, with 18 Years of Experience Managing Immune-Mediated Necrotising Myopathy (IMNM), UK
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21
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Deligianni X, Santini F, Paoletti M, Solazzo F, Bergsland N, Savini G, Faggioli A, Germani G, Monforte M, Ricci E, Tasca G, Pichiecchio A. Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy. Sci Rep 2022; 12:7250. [PMID: 35508609 PMCID: PMC9068910 DOI: 10.1038/s41598-022-11147-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 04/11/2022] [Indexed: 11/09/2022] Open
Abstract
Quantitative muscle MRI (water-T2 and fat mapping) is being increasingly used to assess disease involvement in muscle disorders, while imaging techniques for assessment of the dynamic and elastic muscle properties have not yet been translated into clinics. In this exploratory study, we quantitatively characterized muscle deformation (strain) in patients affected by facioscapulohumeral muscular dystrophy (FSHD), a prevalent muscular dystrophy, by applying dynamic MRI synchronized with neuromuscular electrical stimulation (NMES). We evaluated the quadriceps muscles in 34 ambulatory patients and 13 healthy controls, at 6-to 12-month time intervals. While a subgroup of patients behaved similarly to controls, for another subgroup the median strain decreased over time (approximately 57% over 1.5 years). Dynamic MRI parameters did not correlate with quantitative MRI. Our results suggest that the evaluation of muscle contraction by NMES-MRI is feasible and could potentially be used to explore the elastic properties and monitor muscle involvement in FSHD and other neuromuscular disorders.
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Affiliation(s)
- Xeni Deligianni
- Radiology, Division of Radiological Physics, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Francesco Santini
- Radiology, Division of Radiological Physics, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland. .,Basel Muscle MRI, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
| | - Matteo Paoletti
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Francesca Solazzo
- School of Specialization in Clinical Pharmacology and Toxicology Center of Research in Medical Pharmacology, School of Medicine, University of Insubria, Varese, Italy
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.,IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Giovanni Savini
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Arianna Faggioli
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Giancarlo Germani
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Mauro Monforte
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Enzo Ricci
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giorgio Tasca
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Anna Pichiecchio
- Neuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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22
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Harada R, Taniguchi-Ikeda M, Nagasaka M, Nishii T, Inui A, Yamamoto T, Morioka I, Kuroda R, Iijima K, Nozu K, Sakai Y, Toda T. Assessment of the upper limb muscles in patients with Fukuyama muscular dystrophy: Noninvasive assessment using visual ultrasound muscle analysis and shear wave elastography. Neuromuscul Disord 2022; 32:754-762. [DOI: 10.1016/j.nmd.2022.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 05/08/2022] [Accepted: 05/09/2022] [Indexed: 11/29/2022]
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23
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Waterval NFJ, Meekes VL, Hooijmans MT, Froeling M, Jaspers RT, Oudeman J, Nederveen AJ, Brehm MA, Nollet F. The relationship between quantitative magnetic resonance imaging of the ankle plantar flexors, muscle function during walking and maximal strength in people with neuromuscular diseases. Clin Biomech (Bristol, Avon) 2022; 94:105609. [PMID: 35247697 DOI: 10.1016/j.clinbiomech.2022.105609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Progression of plantar flexor weakness in neuromuscular diseases is usually monitored by muscle strength measurements, although they poorly relate to muscle function during walking. Pathophysiological changes such as intramuscular adipose tissue affect dynamic muscle function independent from isometric strength. Diffusion tensor imaging and T2 imaging are quantitative MRI measures reflecting muscular pathophysiological changes, and are therefore potential biomarkers to monitor plantar flexor functioning during walking in people with neuromuscular diseases. METHODS In fourteen individuals with plantar flexor weakness diffusion tensor imaging and T2 scans of the plantar flexors were obtained, and the diffusion indices fractional anisotropy and mean diffusivity calculated. With a dynamometer, maximal isometric plantar flexor strength was measured. 3D gait analysis was used to assess maximal ankle moment and power during walking. FINDINGS Fractional anisotropy, mean diffusivity and T2 relaxation time all moderately correlated with maximal plantar flexor strength (r > 0.512). Fractional anisotropy and mean diffusivity were not related with ankle moment or power (r < 0.288). T2 relaxation time was strongly related to ankle moment (r = -0.789) and ankle power (r = -0.798), and moderately related to maximal plantar flexor strength (r < 0.600). INTERPRETATION In conclusion, T2 relaxation time, indicative of multiple pathophysiological changes, was strongly related to plantar flexor function during walking, while fractional anisotropy and mean diffusivity, indicative of fiber size, only related to maximal plantar flexor strength. This indicates that these measures may be suitable to monitor muscle function and gain insights into the pathophysiological changes underlying a poor plantar flexor functioning during gait in people with neuromuscular diseases.
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Affiliation(s)
- N F J Waterval
- Amsterdam UMC, University of Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Meibergdreef 9, Amsterdam, the Netherlands.
| | - V L Meekes
- Amsterdam UMC, University of Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Meibergdreef 9, Amsterdam, the Netherlands
| | - M T Hooijmans
- Amsterdam UMC, University of Amsterdam, Department of Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the Netherlands
| | - M Froeling
- University Medical Center Utrecht, Department of Radiology, Heidelberglaan 100, Utrecht, the Netherlands
| | - R T Jaspers
- Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioral and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, the Netherlands
| | - J Oudeman
- University Medical Center Utrecht, Department of Radiology, Heidelberglaan 100, Utrecht, the Netherlands
| | - A J Nederveen
- Amsterdam UMC, University of Amsterdam, Department of Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, the Netherlands
| | - M A Brehm
- Amsterdam UMC, University of Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Meibergdreef 9, Amsterdam, the Netherlands
| | - F Nollet
- Amsterdam UMC, University of Amsterdam, Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Meibergdreef 9, Amsterdam, the Netherlands
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24
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Mensch A, Nägel S, Zierz S, Kraya T, Stoevesandt D. Bildgebung der Muskulatur bei Neuromuskulären Erkrankungen
– von der Initialdiagnostik bis zur Verlaufsbeurteilung. KLIN NEUROPHYSIOL 2022. [DOI: 10.1055/a-1738-5356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
ZusammenfassungDie bildgebende Diagnostik hat sich zu einem integralen Element der Betreuung von
PatientInnen mit neuromuskulären Erkrankungen entwickelt. Als
wesentliches Diagnostikum ist hierbei die Magnetresonanztomografie als breit
verfügbares und vergleichsweise standardisiertes Untersuchungsverfahren
etabliert, wobei die Sonografie der Muskulatur bei hinreichend erfahrenem
Untersucher ebenfalls geeignet ist, wertvolle diagnostische Informationen zu
liefern. Das CT hingegen spielt eine untergeordnete Rolle und sollte nur bei
Kontraindikationen für eine MRT in Erwägung gezogen werden.
Zunächst wurde die Bildgebung bei Muskelerkrankungen primär in
der Initialdiagnostik unter vielfältigen Fragestellungen eingesetzt. Das
Aufkommen innovativer Therapiekonzepte bei verschiedenen neuromuskulären
Erkrankungen machen neben einer möglichst frühzeitigen
Diagnosestellung insbesondere auch eine multimodale Verlaufsbeurteilung zur
Evaluation des Therapieansprechens notwendig. Auch hier wird die Bildgebung der
Muskulatur als objektiver Parameter des Therapieerfolges intensiv diskutiert und
in Forschung wie Praxis zunehmend verwendet.
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Affiliation(s)
- Alexander Mensch
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Steffen Nägel
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Stephan Zierz
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Torsten Kraya
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
- Klinik für Neurologie, Klinikum St. Georg,
Leipzig
| | - Dietrich Stoevesandt
- Universitätsklinik und Poliklinik für Radiologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
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25
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Quantitative assessment of sitting time in ambulant adults with Muscular Dystrophy. PLoS One 2021; 16:e0260491. [PMID: 34797883 PMCID: PMC8604332 DOI: 10.1371/journal.pone.0260491] [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: 05/25/2021] [Accepted: 11/10/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Current investigations into physical behaviour in Muscular Dystrophy (MD) have focussed largely on physical activity (PA). Negative health behaviours such as sedentary behaviour (Physical Behaviour) and sitting time (Posture Classification) are widely recognised to negatively influence health, but by contrast are poorly reported, yet could be easier behaviours to modify. METHODS 14 ambulant men with MD and 12 healthy controls (CTRL) subjects completed 7-days of free-living with wrist-worn accelerometry, assessing physical behaviour (SB or PA) and Posture Classification (Sitting or Standing), presented at absolute (minutes) or relative (% Waking Hours). Participant body composition (Fat Mass and Fat Free Mass) were assessed by Bioelectrical Impedance, while functional status was assessed by 10 m walk test and a functional scale (Swinyard Scale). RESULTS Absolute Sedentary Behaviour (2.2 Hours, p = 0.025) and Sitting Time (1.9 Hours, p = 0.030 was greater in adults with MD compared to CTRL and Absolute Physical Activity (3.4 Hours, p < 0.001) and Standing Time (3.2 Hours, p < 0.001) was lower in adults with MD compared to CTRL. Absolute hours of SB was associated with Fat Mass (Kg) (R = 0.643, p < 0.05) in ambulatory adults with MD. DISCUSSION This study has demonstrated increased Sedentary Behaviour (2.2 hours) and Sitting time (1.9 Hours) in adults with MD compared to healthy controls. Extended waking hours in sitting and SB raises concerns with regards to progression of potential cardio-metabolic diseases and co-morbidities in MD.
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26
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Muzic SI, Paoletti M, Solazzo F, Belatti E, Vitale R, Bergsland N, Bastianello S, Pichiecchio A. Reproducibility of manual segmentation in muscle imaging. ACTA MYOLOGICA : MYOPATHIES AND CARDIOMYOPATHIES : OFFICIAL JOURNAL OF THE MEDITERRANEAN SOCIETY OF MYOLOGY 2021; 40:116-123. [PMID: 34632293 PMCID: PMC8489167 DOI: 10.36185/2532-1900-052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 09/12/2021] [Indexed: 11/23/2022]
Abstract
Purpose To assess the reproducibility of a manual muscle MRI segmentation method that follows a specific set of recommendations developed in our center. Materials and methods Nine healthy volunteers underwent a muscle MRI examination that included a TSE T2 sequence of the thighs. Muscle segmentation was performed by three operators: an expert operator (OP1) with 3 years of experience and two radiology residents (OP2 and 3) who were both given basic segmentation instructions, whereas only OP2 underwent additional supervised training from OP1. Intra- and inter-operator Dice similarity coefficient (DSC) was calculated. Results OP1 showed the highest average intra-operator DSC values (0.885), whereas OP2 had higher average DSC (0.856) compared to OP3 (0.818). The highest inter-operator agreement was observed between Operators 1 and 2 (0.814) and the lowest between OP2 and OP3 (0.702). Confidence interval (CI) analysis showed that the most experienced operator also had the least variability in drawing the ROIs, whereas OP2 showed both higher intra-operator reproducibility compared to OP3 and higher inter-operator agreement with OP1. The muscles that showed the least reproducibility were the semimembranosus and the short head of the biceps femoris. Discussion Following specific recommendations such as these ones derived from our single-center experience leads to an overall high reproducibility of manual muscle segmentation and is helpful in improving both intra-operator and inter-operator reproducibility in less experienced operators.
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Affiliation(s)
| | - Matteo Paoletti
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
| | | | | | | | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Don Carlo Gnocchi ONLUS Foundation IRCCS, Milan, Italy
| | - Stefano Bastianello
- University of Pavia, Pavia, Italy.,Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
| | - Anna Pichiecchio
- University of Pavia, Pavia, Italy.,Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
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Jones K, Hawke F, Newman J, Miller JA, Burns J, Jakovljevic DG, Gorman G, Turnbull DM, Ramdharry G. Interventions for promoting physical activity in people with neuromuscular disease. Cochrane Database Syst Rev 2021; 5:CD013544. [PMID: 34027632 PMCID: PMC8142076 DOI: 10.1002/14651858.cd013544.pub2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The World Health Organization (WHO) recommends that people of all ages take regular and adequate physical activity. If unable to meet the recommendations due to health conditions, international guidance advises being as physically active as possible. Evidence from community interventions of physical activity indicate that people living with medical conditions are sometimes excluded from participation in studies. In this review, we considered the effects of activity-promoting interventions on physical activity and well-being in studies, as well as any adverse events experienced by participants living with inherited or acquired neuromuscular diseases (NMDs). OBJECTIVES: To assess the effects of interventions designed to promote physical activity in people with NMD compared with no intervention or alternative interventions. SEARCH METHODS On 30 April 2020, we searched Cochrane Neuromuscular Specialised Register, CENTRAL, Embase, MEDLINE, and ClinicalTrials.Gov. WHO ICTRP was not accessible at the time. SELECTION CRITERIA We considered randomised or quasi-randomised trials, including cross-over trials, of interventions designed to promote physical activity in people with NMD compared to no intervention or alternative interventions. We specifically included studies that reported physical activity as an outcome measure. Our main focus was studies in which promoting physical activity was a stated aim but we also included studies in which physical activity was assessed as a secondary or exploratory outcome. DATA COLLECTION AND ANALYSIS We used standard Cochrane procedures. MAIN RESULTS The review included 13 studies (795 randomised participants from 12 studies; number of participants unclear in one study) of different interventions to promote physical activity. Most studies randomised a minority of invited participants. No study involved children or adolescents and nine studies reported minimal entry criteria for walking. Participants had one of nine inherited or acquired NMDs. Types of intervention included structured physical activity support, exercise support (as a specific form of physical activity), and behaviour change support that included physical activity or exercise. Only one included study clearly reported that the aim of intervention was to increase physical activity. Other studies reported or planned to analyse the effects of intervention on physical activity as a secondary or exploratory outcome measure. Six studies did not report results for physical activity outcomes, or the data were not usable. We judged 10 of the 13 included studies at high or unclear risk of bias from incomplete physical activity outcome reporting. We did not perform a meta-analysis for any comparison because of differences in interventions and in usual care. We also found considerable variation in how studies reported physical activity as an outcome measure. The studies that reported physical activity measurement did not always clearly report intention-to-treat (ITT) analysis or whether final assessments occurred during or after intervention. Based on prespecified measures, we included three comparisons in our summary of findings. A physical activity programme (weight-bearing) compared to no physical activity programme One study involved adults with diabetic peripheral neuropathy (DPN) and reported weekly duration of walking during and at the end of a one-year intervention using a StepWatch ankle accelerometer. Based on the point estimate and low-certainty evidence, intervention may have led to an important increase in physical activity per week; however, the 95% confidence interval (CI) included the possibility of no difference or an effect in either direction at three months (mean difference (MD) 34 minutes per week, 95% CI -92.19 to 160.19; 69 participants), six months (MD 68 minutes per week, 95% CI -55.35 to 191.35; 74 participants), and 12 months (MD 49 minutes per week, 95% CI -75.73 to 173.73; 70 participants). Study-reported effect estimates for foot lesions and full-thickness ulcers also included the possibility of no difference, a higher, or lower risk with intervention. A sensor-based, interactive exercise programme compared to no sensor-based, interactive exercise programme One study involved adults with DPN and reported duration of walking over 48 hours at the end of four weeks' intervention using a t-shirt embedded PAMSys sensor. It was not possible to draw conclusions about the effectiveness of the intervention from the very low-certainty evidence (MD -0.64 hours per 48 hours, 95% CI -2.42 to 1.13; 25 participants). We were also unable to draw conclusions about impact on the Physical Component Score (PCS) for quality of life (MD 0.24 points, 95% CI -5.98 to 6.46; 35 participants; very low-certainty evidence), although intervention may have made little or no difference to the Mental Component Score (MCS) for quality of life (MD 5.10 points, 95% CI -0.58 to 10.78; 35 participants; low-certainty evidence). A functional exercise programme compared to a stretching exercise programme One study involved adults with spinal and bulbar muscular atrophy and reported a daily physical activity count at the end of 12 weeks' intervention using an Actical accelerometer. It was not possible to draw conclusions about the effectiveness of either intervention (requiring compliance) due to low-certainty evidence and unconfirmed measurement units (MD -8701, 95% CI -38,293.30 to 20,891.30; 43 participants). Functional exercise may have made little or no difference to quality of life compared to stretching (PCS: MD -1.10 points, 95% CI -5.22 to 3.02; MCS: MD -1.10 points, 95% CI -6.79 to 4.59; 49 participants; low-certainty evidence). Although studies reported adverse events incompletely, we found no evidence of supported activity increasing the risk of serious adverse events. AUTHORS' CONCLUSIONS We found a lack of evidence relating to children, adolescents, and non-ambulant people of any age. Many people living with NMD did not meet randomised controlled trial eligibility criteria. There was variation in the components of supported activity intervention and usual care, such as physical therapy provision. We identified variation among studies in how physical activity was monitored, analysed, and reported. We remain uncertain of the effectiveness of promotional intervention for physical activity and its impact on quality of life and adverse events. More information is needed on the ITT population, as well as more complete reporting of outcomes. While there may be no single objective measure of physical activity, the study of qualitative and dichotomous change in self-reported overall physical activity might offer a pragmatic approach to capturing important change at an individual and population level.
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Affiliation(s)
- Katherine Jones
- Cochrane Pain, Palliative and Supportive Care, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Mental Health and Neuroscience Network and Acute and Emergency Care Network, Cochrane, London, UK
| | - Fiona Hawke
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Ourimbah, Australia
| | - Jane Newman
- Wellcome Centre for Mitochondrial Research, Newcastle University and NIHR Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne, UK
| | - James Al Miller
- c/o Department of Neurology, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Joshua Burns
- University of Sydney School of Health Sciences, Faculty of Medicine and Health, Sydney, Australia
| | - Djordje G Jakovljevic
- Cardiovascular and Lifestyle Medicine Theme, Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - Grainne Gorman
- Wellcome Centre for Mitochondrial Research, Newcastle University, Newcastle upon Tyne, UK
| | - Douglass M Turnbull
- Mitochondrial Research Group, The Medical School, Newcastle University, Newcastle upon Tyne, UK
| | - Gita Ramdharry
- Queen Square Centre for Neuromuscular Diseases, University College Hospital NHS Foundation Trust and UCL Institute of Neurology, London, UK
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Güttsches AK, Rehmann R, Schreiner A, Rohm M, Forsting J, Froeling M, Tegenthoff M, Vorgerd M, Schlaffke L. Quantitative Muscle-MRI Correlates with Histopathology in Skeletal Muscle Biopsies. J Neuromuscul Dis 2021; 8:669-678. [PMID: 33814461 DOI: 10.3233/jnd-210641] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Skeletal muscle biopsy is one of the gold standards in the diagnostic workup of muscle disorders. By histopathologic analysis, characteristic features like inflammatory cellular infiltrations, fat and collagen replacement of muscle tissue or structural defects of the myofibers can be detected. In the past years, novel quantitative MRI (qMRI) techniques have been developed to quantify tissue parameters, thus providing a non-invasive diagnostic tool in several myopathies. OBJECTIVE This proof-of-principle study was performed to validate the qMRI-techniques to skeletal muscle biopsy results. METHODS Ten patients who underwent skeletal muscle biopsy for diagnostic purposes were examined by qMRI. Fat fraction, water T2-time and diffusion parameters were measured in the muscle from which the biopsy was taken. The proportion of fat tissue, the severity of degenerative and inflammatory parameters and the amount of type 1- and type 2- muscle fibers were determined in all biopsy samples. The qMRI-data were then correlated to the histopathological findings. RESULTS The amount of fat tissue in skeletal muscle biopsy correlated significantly with the fat fraction derived from the Dixon sequence. The water T2-time, a parameter for tissue edema, correlated with the amount of vacuolar changes of myofibers and endomysial macrophages in the histopathologic analysis. No significant correlations were found for diffusion parameters. CONCLUSION In this proof-of-principle study, qMRI techniques were related to characteristic histopathologic features in neuromuscular disorders. The study provides the basis for further development of qMRI methods in the follow-up of patients with neuromuscular disorders, especially in the context of emerging treatment strategies.
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Affiliation(s)
- Anne-Katrin Güttsches
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Robert Rehmann
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Anja Schreiner
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Marlena Rohm
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Johannes Forsting
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Martijn Froeling
- Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Martin Tegenthoff
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Matthias Vorgerd
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
| | - Lara Schlaffke
- Department of Neurology, Heimer Institute for Muscle Research, University Hospital Bergmannsheil, Ruhr University Bochum, Bochum, Germany
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Ogier AC, Hostin MA, Bellemare ME, Bendahan D. Overview of MR Image Segmentation Strategies in Neuromuscular Disorders. Front Neurol 2021; 12:625308. [PMID: 33841299 PMCID: PMC8027248 DOI: 10.3389/fneur.2021.625308] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 02/08/2021] [Indexed: 01/10/2023] Open
Abstract
Neuromuscular disorders are rare diseases for which few therapeutic strategies currently exist. Assessment of therapeutic strategies efficiency is limited by the lack of biomarkers sensitive to the slow progression of neuromuscular diseases (NMD). Magnetic resonance imaging (MRI) has emerged as a tool of choice for the development of qualitative scores for the study of NMD. The recent emergence of quantitative MRI has enabled to provide quantitative biomarkers more sensitive to the evaluation of pathological changes in muscle tissue. However, in order to extract these biomarkers from specific regions of interest, muscle segmentation is mandatory. The time-consuming aspect of manual segmentation has limited the evaluation of these biomarkers on large cohorts. In recent years, several methods have been proposed to make the segmentation step automatic or semi-automatic. The purpose of this study was to review these methods and discuss their reliability, reproducibility, and limitations in the context of NMD. A particular attention has been paid to recent deep learning methods, as they have emerged as an effective method of image segmentation in many other clinical contexts.
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Affiliation(s)
- Augustin C Ogier
- Aix Marseille Univ, Université de Toulon, CNRS, LIS, Marseille, France
| | - Marc-Adrien Hostin
- Aix Marseille Univ, Université de Toulon, CNRS, LIS, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | | | - David Bendahan
- Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
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Felisaz PF, Colelli G, Ballante E, Solazzo F, Paoletti M, Germani G, Santini F, Deligianni X, Bergsland N, Monforte M, Tasca G, Ricci E, Bastianello S, Figini S, Pichiecchio A. Texture analysis and machine learning to predict water T2 and fat fraction from non-quantitative MRI of thigh muscles in Facioscapulohumeral muscular dystrophy. Eur J Radiol 2020; 134:109460. [PMID: 33296803 DOI: 10.1016/j.ejrad.2020.109460] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 09/04/2020] [Accepted: 11/29/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE Quantitative MRI (qMRI) plays a crucial role for assessing disease progression and treatment response in neuromuscular disorders, but the required MRI sequences are not routinely available in every center. The aim of this study was to predict qMRI values of water T2 (wT2) and fat fraction (FF) from conventional MRI, using texture analysis and machine learning. METHOD Fourteen patients affected by Facioscapulohumeral muscular dystrophy were imaged at both thighs using conventional and quantitative MR sequences. Muscle FF and wT2 were calculated for each muscle of the thighs. Forty-seven texture features were extracted for each muscle on the images obtained with conventional MRI. Multiple machine learning regressors were trained to predict qMRI values from the texture analysis dataset. RESULTS Eight machine learning methods (linear, ridge and lasso regression, tree, random forest (RF), generalized additive model (GAM), k-nearest-neighbor (kNN) and support vector machine (SVM) provided mean absolute errors ranging from 0.110 to 0.133 for FF and 0.068 to 0.115 for wT2. The most accurate methods were RF, SVM and kNN to predict FF, and tree, RF and kNN to predict wT2. CONCLUSION This study demonstrates that it is possible to estimate with good accuracy qMRI parameters starting from texture analysis of conventional MRI.
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Affiliation(s)
- Paolo Florent Felisaz
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy; Department of Radiology, Desio Hospital, ASST Monza, Desio, Italy.
| | - Giulia Colelli
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy; Department of Mathematics, University of Pavia, Pavia, Italy
| | - Elena Ballante
- Department of Mathematics, University of Pavia, Pavia, Italy; BioData Science Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Francesca Solazzo
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
| | - Matteo Paoletti
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
| | - Giancarlo Germani
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy
| | - Francesco Santini
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Xeni Deligianni
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Mauro Monforte
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giorgio Tasca
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Enzo Ricci
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Stefano Bastianello
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, PV, Italy
| | - Silvia Figini
- Department of Political and Social Sciences, University of Pavia, Pavia, PV, Italy
| | - Anna Pichiecchio
- Department of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, PV, Italy
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31
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Dahlqvist JR, Widholm P, Leinhard OD, Vissing J. MRI in Neuromuscular Diseases: An Emerging Diagnostic Tool and Biomarker for Prognosis and Efficacy. Ann Neurol 2020; 88:669-681. [PMID: 32495452 DOI: 10.1002/ana.25804] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 05/05/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022]
Abstract
There is an unmet need to identify biomarkers sensitive to change in rare, slowly progressive neuromuscular diseases. Quantitative magnetic resonance imaging (MRI) of muscle may offer this opportunity, as it is noninvasive and can be carried out almost independent of patient cooperation and disease severity. Muscle fat content correlates with muscle function in neuromuscular diseases, and changes in fat content precede changes in function, which suggests that muscle MRI is a strong biomarker candidate to predict prognosis and treatment efficacy. In this paper, we review the evidence suggesting that muscle MRI may be an important biomarker for diagnosis and to monitor change in disease severity. ANN NEUROL 2020;88:669-681.
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Affiliation(s)
- Julia R Dahlqvist
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, Copenhagen University, Copenhagen, Denmark
| | - Per Widholm
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
- AMRA Medical AB, Linköping, Sweden
| | - Olof Dahlqvist Leinhard
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
- AMRA Medical AB, Linköping, Sweden
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, Copenhagen University, Copenhagen, Denmark
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Jacques MF, Onambele-Pearson GL, Reeves ND, Stebbings GK, Dawson EA, Stockley RC, Edwards B, Morse CI. 12-Month changes of muscle strength, body composition and physical activity in adults with dystrophinopathies. Disabil Rehabil 2020; 44:1847-1854. [PMID: 32853037 DOI: 10.1080/09638288.2020.1808087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
PURPOSE Muscular dystrophy (MD) is an umbrella term for muscle wasting conditions, for which longitudinal changes in function and body composition are well established in children with Duchenne (DMD), however, changes in adults with DMD and Beckers (BMD), respectively, remain poorly reported. This study aims to assess 12-month changes in lower-limb strength, muscle size, body composition and physical activity in adults with Muscular Dystrophy (MD). METHODS Adult males with Duchenne MD (DMD; N = 15) and Beckers MD (BMD; N = 12) were assessed at baseline and 12-months for body composition (Body fat and lean body mass (LBM)), Isometric maximal voluntary contraction (Knee-Extension (KEMVC) and Plantar-Flexion (PFMVC)) and physical activity (tri-axial accelerometry). RESULTS 12-Month change in strength was found as -19% (PFMVC) and -14% (KEMVC) in DMD. 12-Month change in strength in BMD, although non-significant, was explained by physical activity (R2=0.532-0.585). Changes in LBM (DMD) and body fat (BMD) were both masked by non-significant changes in body mass. DISCUSSION 12-Month changes in adults with DMD appear consistent with paediatric populations. Physical activity appears important for muscle function maintenance. Specific monitoring of body composition, and potential co-morbidities, within adults with MD is highlighted.Implications for rehabilitationQuantitative muscle strength assessment shows progressive muscle weakness in adults with Duchenne Muscular Dystrophy is comparable to paediatric reports (-14 to -19%).Physical activity should be encouraged in adults with Beckers Muscular Dystrophy, anything appears better than nothing.Body composition, rather than body mass, should be monitored closely to identify any increase in body fat.
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Affiliation(s)
- Matthew F Jacques
- Faculty of Science and Engineering, School of Healthcare Science, Research Centre for Musculoskeletal Science & Sports Medicine, Manchester Metropolitan University, Manchester, United Kingdom
| | - Gladys L Onambele-Pearson
- Faculty of Science and Engineering, School of Healthcare Science, Research Centre for Musculoskeletal Science & Sports Medicine, Manchester Metropolitan University, Manchester, United Kingdom
| | - Neil D Reeves
- Faculty of Science and Engineering, School of Healthcare Science, Research Centre for Musculoskeletal Science & Sports Medicine, Manchester Metropolitan University, Manchester, United Kingdom
| | - Georgina K Stebbings
- Faculty of Science and Engineering, School of Healthcare Science, Research Centre for Musculoskeletal Science & Sports Medicine, Manchester Metropolitan University, Manchester, United Kingdom
| | - Ellen A Dawson
- Research Institute for Sport and Exercise Science, Liverpool John Moores University, Liverpool, United Kingdom
| | - Rachel C Stockley
- School of Nursing, University of Central Lancashire, Preston, United Kingdom
| | - Bryn Edwards
- The Neuromuscular Centre, Winsford, Cheshire, United Kingdom
| | - Christopher I Morse
- Faculty of Science and Engineering, School of Healthcare Science, Research Centre for Musculoskeletal Science & Sports Medicine, Manchester Metropolitan University, Manchester, United Kingdom
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Heskamp L, Okkersen K, van Nimwegen M, Ploegmakers MJ, Bassez G, Deux JF, van Engelen BG, Heerschap A. Quantitative Muscle MRI Depicts Increased Muscle Mass after a Behavioral Change in Myotonic Dystrophy Type 1. Radiology 2020; 297:132-142. [PMID: 32808888 DOI: 10.1148/radiol.2020192518] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Patients with myotonic dystrophy type 1 (DM1) increased their physical activity and exercise capacity following a behavioral intervention. However, it is unknown what is altered in muscles of patients with DM1 as a result of this intervention. The increased exercise capacity suggests that decelerated fat infiltration or increased muscle cross-sectional area (CSA) could be involved. Purpose To assess the effect of this activity-stimulating behavioral intervention on the lower extremity muscles of patients with DM1 with longitudinal quantitative muscle MRI. Materials and Methods In this prospective trial, participants with DM1 were randomized to a behavioral intervention (n = 14) or continued regular care (standard care; n = 13); no age-matched pairing was performed. Participants underwent MRI of the lower extremities at baseline and 10-month follow-up (January 2015 to March 2016). Fat fraction (FF), muscle CSA, and muscle water T2 (T2water) as markers for fat infiltration, muscle mass, and alteration in tissue water distribution (edema), respectively, were assessed with a chemical shift-encoded Dixon sequence and multiecho spin-echo sequence. Longitudinal within-group and between-group changes were assessed with paired-samples t tests and multivariable regression models. Results A total of 27 patients with DM1 (15 men) were evaluated. Patient age was comparable between groups (intervention, 45 years ± 13 [standard deviation]; standard care, 5 years ± 12; P = .96). Muscle CSA increased 5.9 cm2 ± 7.8 in the intervention group during the 10-month follow-up (P = .03) and decreased 3.6 cm2 ± 7.2 in the standard care group (P = .13). After 10 months, the mean difference between the groups was 9.5 cm2 (P = .01). This effect was stronger in muscles with baseline FF below the mean ± standard deviation of unaffected volunteers (-0.4 cm2 ± 0.15; P < .001). FF increased 0.9% ± 1.0 in the intervention group (P = .02) and 1.2% ± 1.2 for standard care (P = .02), with no between-group difference (P = .56). T2water did not change significantly in either group (intervention, P = .08; standard care, P = .88). Conclusion A behavioral intervention targeting physical activity increased lower extremity muscle cross-sectional area in patients with myotonic dystrophy, preferentially in healthy-appearing muscle. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Linda Heskamp
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | - Kees Okkersen
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | - Marlies van Nimwegen
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | - Marieke J Ploegmakers
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | - Guillaume Bassez
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | - Jean-Francois Deux
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | - Baziel G van Engelen
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | - Arend Heerschap
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
| | -
- From the Department of Radiology and Nuclear Medicine, Radboud Institute for Molecular Life Sciences (L.H., M.J.P., A.H.), and Department of Neurology, Donders Institute for Brain, Cognition and Behaviour (K.O., M.v.N., B.G.v.E.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Neuromuscular Reference Center, Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital, Paris, France (G.B.); and Department of Radiology, Henri Mondor University Hospital, Paris, France (J.F.D.)
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Giacomucci G, Monforte M, Diaz-Manera J, Mul K, Fernandez Torrón R, Maggi L, Marini Bettolo C, Dahlqvist JR, Haberlova J, Camaño P, Gros M, Tartaglione T, Cristiano L, Gerevini S, Calandra P, Deidda G, Giardina E, Sacconi S, Straub V, Vissing J, Van Engelen B, Ricci E, Tasca G. Deep phenotyping of facioscapulohumeral muscular dystrophy type 2 by magnetic resonance imaging. Eur J Neurol 2020; 27:2604-2615. [PMID: 32697863 DOI: 10.1111/ene.14446] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 07/15/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND AND PURPOSE The aim was to define the radiological picture of facioscapulohumeral muscular dystrophy 2 (FSHD2) in comparison with FSHD1 and to explore correlations between imaging and clinical/molecular data. METHODS Upper girdle and/or lower limb muscle magnetic resonance imaging scans of 34 molecularly confirmed FSHD2 patients from nine European neuromuscular centres were analysed. T1-weighted and short-tau inversion recovery (STIR) sequences were used to evaluate the global pattern and to assess the extent of fatty replacement and muscle oedema. RESULTS The most frequently affected muscles were obliquus and transversus abdominis, semimembranosus, soleus and gluteus minimus in the lower limbs; trapezius, serratus anterior, latissimus dorsi and pectoralis major in the upper girdle. Iliopsoas, popliteus, obturator internus and tibialis posterior in the lower limbs and subscapularis, spinati, sternocleidomastoid and levator scapulae in the upper girdle were the most spared. Asymmetry and STIR hyperintensities were consistent features. The pattern of muscle involvement was similar to that of FSHD1, and the combined involvement of trapezius, abdominal and hamstring muscles, together with complete sparing of iliopsoas and subscapularis, was detected in 91% of patients. Peculiar differences were identified in a rostro-caudal gradient, a predominant involvement of lower limb muscles compared to the upper girdle, and in the higher percentage of STIR hyperintensities in FSHD2. CONCLUSION This multicentre study defines the pattern of muscle involvement in FSHD2, providing useful information for diagnostics and clinical trial design. Both similarities and differences between FSHD1 and FSHD2 were detected, which is also relevant to better understand the pathogenic mechanisms underlying the FSHD-related disease spectrum.
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Affiliation(s)
- G Giacomucci
- Istituto di Neurologia, Università Cattolica del Sacro Cuore, Roma, Italy
| | - M Monforte
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - J Diaz-Manera
- Neuromuscular Disorders Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Universitat Autónoma de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
| | - K Mul
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - R Fernandez Torrón
- John Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.,Neurology Department, Biodonostia Health Research Institute, Neuromuscular Area, Hospital Donostia, Basque Health Service, Doctor Begiristain, Donostia-San Sebastian, Spain
| | - L Maggi
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - C Marini Bettolo
- John Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - J R Dahlqvist
- Copenhagen Neuromuscular Center, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - J Haberlova
- Department of Pediatric Neurology, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, Prague, Czech Republic
| | - P Camaño
- Biodonostia, Neurosciences Area, Group of Neuromuscular Diseases; Biodonostia-Osakidetza Basque Health Service, Molecular Diagnostics Platform, San Sebastian, Spain
| | - M Gros
- Université Côte d'Azur (UCA), Peripheral Nervous System, Muscle and ALS Department, Pasteur 2 Hospital, Nice, France.,Université Côte d'Azur, Inserm, CNRS, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
| | - T Tartaglione
- Radiology Unit, Istituto Dermopatico dell'Immacolata-IRCCS-FLMM, Rome, Italy
| | - L Cristiano
- Radiology Unit, Istituto Dermopatico dell'Immacolata-IRCCS-FLMM, Rome, Italy
| | - S Gerevini
- Neuroradiology Department, IRCCS San Raffaele Hospital, Milan, Italy
| | - P Calandra
- Institute of Cell Biology and Neurobiology, National Research Council of Italy, Monterotondo, Rome, Italy
| | - G Deidda
- Institute of Cell Biology and Neurobiology, National Research Council of Italy, Monterotondo, Rome, Italy
| | - E Giardina
- Molecular Genetics Laboratory UILDM, Santa Lucia Foundation IRCSS-University of Rome 'Tor Vergata', Rome, Italy
| | - S Sacconi
- Université Côte d'Azur (UCA), Peripheral Nervous System, Muscle and ALS Department, Pasteur 2 Hospital, Nice, France.,Université Côte d'Azur, Inserm, CNRS, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
| | - V Straub
- John Walton Muscular Dystrophy Research Centre, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - J Vissing
- Copenhagen Neuromuscular Center, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - B Van Engelen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - E Ricci
- Istituto di Neurologia, Università Cattolica del Sacro Cuore, Roma, Italy.,Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - G Tasca
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
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Dallaway A, Kite C, Griffen C, Duncan M, Tallis J, Renshaw D, Hattersley J. Age-related degeneration of the lumbar paravertebral muscles: Systematic review and three-level meta-regression. Exp Gerontol 2020; 133:110856. [PMID: 32006635 DOI: 10.1016/j.exger.2020.110856] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 01/24/2020] [Accepted: 01/28/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Morphological changes of the lumbar spine muscles are not well characterised with ageing. To further the understanding of age-related degeneration of the lumbar spine musculature, normative morphological changes that occur within the paravertebral muscles must first be established. METHODS A systematic review and meta-regressions were conducted adhering to PRISMA guidelines. Searches for published and unpublished data were completed in June 2019. RESULTS Searches returned 4781 articles. 34 articles were included in the quantitative analysis. Three-level meta-analyses showed age-related atrophy (r = -0.26; 95% CI: -0.33, -0.17) and fat infiltration (r = 0.39; 95% CI: 0.28, 0.50) in the lumbar paravertebral muscles. Degenerative changes were muscle-specific and men (r = -0.32; 95% CI: -0.61, 0.01) exhibited significantly greater muscle atrophy than women (r = -0.24; 95% CI: -0.47, 0.03). Imaging modality, specifically ultrasound, also influenced age-related muscle atrophy. Measurements taken across all lumbar levels revealed the greatest fat infiltration with ageing (r = 0.58, 95% CI: 0.35, 0.74). Moderators explained a large proportion of between-study variance in true effects for muscle atrophy (72.6%) and fat infiltration (79.8%) models. CONCLUSIONS Lumbar paravertebral muscles undergo age-related degeneration in healthy adults with muscle, lumbar level and sex-specific responses. Future studies should use high-resolution imaging modalities to quantify muscle atrophy and fat infiltration.
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Affiliation(s)
- A Dallaway
- Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom; Human Metabolic Research Unit, University Hospitals Coventry and Warwickshire, Clifford Bridge Rd, Coventry CV2 2DX, United Kingdom.
| | - C Kite
- School of Life and Health Sciences, Cell and Tissue Biomedical Research Group, Aston University, Aston Triangle, Birmingham B4 7ET, United Kingdom; Centre for Active Living, University Centre Shrewsbury, University of Chester, Guildhall, Frankwell Quay, Shrewsbury SY3 8HQ, United Kingdom
| | - C Griffen
- Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom; Human Metabolic Research Unit, University Hospitals Coventry and Warwickshire, Clifford Bridge Rd, Coventry CV2 2DX, United Kingdom
| | - M Duncan
- Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom; School of Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom
| | - J Tallis
- Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom; School of Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom
| | - D Renshaw
- Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom
| | - J Hattersley
- Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Science and Health Building, Whitefriars Street, Coventry University, Coventry CV1 2DS, United Kingdom; Human Metabolic Research Unit, University Hospitals Coventry and Warwickshire, Clifford Bridge Rd, Coventry CV2 2DX, United Kingdom
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Fernández-Eulate G, Fernández-Torrón R, Guisasola A, Gaspar MTI, Diaz-Manera J, Maneiro M, Zulaica M, Olasagasti V, Formica AF, Espinal JB, Ruiz M, Schlüter A, Pujol A, Poza JJ, López de Munain A. Phenotypic correlations in a large single-center cohort of patients with BSCL2 nerve disorders: a clinical, neurophysiological and muscle magnetic resonance imaging study. Eur J Neurol 2020; 27:1364-1373. [PMID: 32320108 DOI: 10.1111/ene.14272] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 04/16/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE BSCL2 heterozygote mutations are a common cause of distal hereditary motor neuropathies (dHMNs). A series of BSCL2 patients is presented and clinical, neurophysiological and muscle magnetic resonance imaging (MRI) findings are correlated. METHODS Twenty-six patients from five families carrying the p.N88S mutation were identified. Age of onset, clinical phenotype (dHMN, Charcot-Marie-Tooth, spastic paraplegia), physical examination, disability measured as a modified Rankin Scale score and neurophysiological findings were collected. A whole body muscle MRI had been performed in 18 patients. The pattern of muscle involvement on T1-weighted and short time inversion recovery sequences was analysed. Hierarchical analysis using heatmaps and an MRI Composite Score were generated. Statistical analysis was carried out with STATA SE v.15 (TX, USA). RESULTS The mean age was 51.54 ± 19.94 years and 14 patients were men. dHMN was the most common phenotype (50%) and five patients (19.23%) showed no findings on examination. Disease onset was commonly in childhood and disability was low (modified Rankin Scale score 1.34 ± 1.13) although median time since onset of disease was 32 years (range 10-47). Charcot-Marie-Tooth-like patients were more disabled and disability correlated with age. On muscle MRI, thenar eminence, soleus and tibialis anterior were most frequently involved, irrespective of clinical phenotype. MRI Composite Score was strongly correlated with disability. CONCLUSION Patients with the p.N88S BSCL2 gene mutation are phenotypically variable, although dHMN is most frequent and generally slowly progressive. Muscle MRI pattern is consistent regardless of phenotype and correlates with disease severity, probably serving as a reliable outcome measure for future clinical trials.
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Affiliation(s)
- G Fernández-Eulate
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain.,Reference Center for Neuromuscular Disorders, Pitié-Salpêtrière Hospital, Institute of Myology, Paris, France
| | - R Fernández-Torrón
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain.,Neuromuscular Area, Group of Neurodegenerative Diseases, Biodonostia Health Research Institute, San Sebastian, Spain
| | - A Guisasola
- Department of Radiology, Osatek, San Sebastian, Spain
| | - M T I Gaspar
- Clinical Epidemiology Unit, Donostia University Hospital, San Sebastian, Spain
| | - J Diaz-Manera
- Unitat de Malaties Neuromuscularis, Servei de Neurologia, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,John Walton Muscular Dystrophy Research Center, University of Newcastle, Newcastle, UK
| | - M Maneiro
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain
| | - M Zulaica
- Neuromuscular Area, Group of Neurodegenerative Diseases, Biodonostia Health Research Institute, San Sebastian, Spain
| | - V Olasagasti
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain
| | - A F Formica
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain
| | - J B Espinal
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain
| | - M Ruiz
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.,Center for Biomedical Research on Rare Diseases (CIBERER), Institute of Health Carlos III, Madrid, Spain
| | - A Schlüter
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain
| | - A Pujol
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.,Center for Biomedical Research on Rare Diseases (CIBERER), Institute of Health Carlos III, Madrid, Spain.,Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
| | - J J Poza
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain
| | - A López de Munain
- Department of Neurology, Donostia University Hospital, San Sebastian, Spain.,Neuromuscular Area, Group of Neurodegenerative Diseases, Biodonostia Health Research Institute, San Sebastian, Spain.,Neuroscience Department, School of Medicine of the University of the Basque Country, San Sebastian, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto Carlos III, Madrid, Spain
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Abstract
PURPOSE OF REVIEW Facioscapulohumeral muscular dystrophy (FSHD) is a common muscular dystrophy affecting both pediatric and adult patients. This article reviews the phenotype and pathophysiology of the disease as well as the recent efforts in clinical outcome measures and clinical trials. RECENT FINDINGS As the name implies, FSHD involves weakness of facial muscles, muscles that fix the scapula, and muscles overlying the humerus (biceps and triceps). The distinctive phenotype of FSHD occurs secondary to two different genetic mechanisms. FSHD type 1 (FSHD1) is due to a deletion on chromosome 4q, leading to hypomethylation and derepression of DUX4. FSHD type 2 (FSHD2) is due to mutations in SMCHD1 with resulting hypomethylation of the same subtelomeric region of chromosome 4q and derepression of DUX4. Understanding the central role of DUX4 has opened up the possibility of disease-modifying treatments. In preparation for clinical trials of novel agents, researchers are in the process of validating a number of clinical trial outcome measures including MRI, the 6-minute walk test, the FSHD Composite Outcome Measure, reachable workspace, electrical impedance myography, and the FSHD Health Index. SUMMARY The treatment of FSHD is currently supportive only. While past clinical trials in FSHD have been largely disappointing, novel agents in development, including antisense oligonucleotides, gene therapy, and small molecules, hold promise for future meaningful therapies.
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Voet NBM, van der Kooi EL, van Engelen BGM, Geurts ACH. Strength training and aerobic exercise training for muscle disease. Cochrane Database Syst Rev 2019; 12:CD003907. [PMID: 31808555 PMCID: PMC6953420 DOI: 10.1002/14651858.cd003907.pub5] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Strength training or aerobic exercise programmes, or both, might optimise muscle and cardiorespiratory function and prevent additional disuse atrophy and deconditioning in people with a muscle disease. This is an update of a review first published in 2004 and last updated in 2013. We undertook an update to incorporate new evidence in this active area of research. OBJECTIVES To assess the effects (benefits and harms) of strength training and aerobic exercise training in people with a muscle disease. SEARCH METHODS We searched Cochrane Neuromuscular's Specialised Register, CENTRAL, MEDLINE, Embase, and CINAHL in November 2018 and clinical trials registries in December 2018. SELECTION CRITERIA Randomised controlled trials (RCTs), quasi-RCTs or cross-over RCTs comparing strength or aerobic exercise training, or both lasting at least six weeks, to no training in people with a well-described muscle disease diagnosis. DATA COLLECTION AND ANALYSIS We used standard methodological procedures expected by Cochrane. MAIN RESULTS We included 14 trials of aerobic exercise, strength training, or both, with an exercise duration of eight to 52 weeks, which included 428 participants with facioscapulohumeral muscular dystrophy (FSHD), dermatomyositis, polymyositis, mitochondrial myopathy, Duchenne muscular dystrophy (DMD), or myotonic dystrophy. Risk of bias was variable, as blinding of participants was not possible, some trials did not blind outcome assessors, and some did not use an intention-to-treat analysis. Strength training compared to no training (3 trials) For participants with FSHD (35 participants), there was low-certainty evidence of little or no effect on dynamic strength of elbow flexors (MD 1.2 kgF, 95% CI -0.2 to 2.6), on isometric strength of elbow flexors (MD 0.5 kgF, 95% CI -0.7 to 1.8), and ankle dorsiflexors (MD 0.4 kgF, 95% CI -2.4 to 3.2), and on dynamic strength of ankle dorsiflexors (MD -0.4 kgF, 95% CI -2.3 to 1.4). For participants with myotonic dystrophy type 1 (35 participants), there was very low-certainty evidence of a slight improvement in isometric wrist extensor strength (MD 8.0 N, 95% CI 0.7 to 15.3) and of little or no effect on hand grip force (MD 6.0 N, 95% CI -6.7 to 18.7), pinch grip force (MD 1.0 N, 95% CI -3.3 to 5.3) and isometric wrist flexor force (MD 7.0 N, 95% CI -3.4 to 17.4). Aerobic exercise training compared to no training (5 trials) For participants with DMD there was very low-certainty evidence regarding the number of leg revolutions (MD 14.0, 95% CI -89.0 to 117.0; 23 participants) or arm revolutions (MD 34.8, 95% CI -68.2 to 137.8; 23 participants), during an assisted six-minute cycle test, and very low-certainty evidence regarding muscle strength (MD 1.7, 95% CI -1.9 to 5.3; 15 participants). For participants with FSHD, there was low-certainty evidence of improvement in aerobic capacity (MD 1.1 L/min, 95% CI 0.4 to 1.8, 38 participants) and of little or no effect on knee extension strength (MD 0.1 kg, 95% CI -0.7 to 0.9, 52 participants). For participants with dermatomyositis and polymyositis (14 participants), there was very low-certainty evidence regarding aerobic capacity (MD 14.6, 95% CI -1.0 to 30.2). Combined aerobic exercise and strength training compared to no training (6 trials) For participants with juvenile dermatomyositis (26 participants) there was low-certainty evidence of an improvement in knee extensor strength on the right (MD 36.0 N, 95% CI 25.0 to 47.1) and left (MD 17 N 95% CI 0.5 to 33.5), but low-certainty evidence of little or no effect on maximum force of hip flexors on the right (MD -9.0 N, 95% CI -22.4 to 4.4) or left (MD 6.0 N, 95% CI -6.6 to 18.6). This trial also provided low-certainty evidence of a slight decrease of aerobic capacity (MD -1.2 min, 95% CI -1.6 to 0.9). For participants with dermatomyositis and polymyositis (21 participants), we found very low-certainty evidence for slight increases in muscle strength as measured by dynamic strength of knee extensors on the right (MD 2.5 kg, 95% CI 1.8 to 3.3) and on the left (MD 2.7 kg, 95% CI 2.0 to 3.4) and no clear effect in isometric muscle strength of eight different muscles (MD 1.0, 95% CI -1.1 to 3.1). There was very low-certainty evidence that there may be an increase in aerobic capacity, as measured with time to exhaustion in an incremental cycle test (17.5 min, 95% CI 8.0 to 27.0) and power performed at VO2 max (maximal oxygen uptake) (18 W, 95% CI 15.0 to 21.0). For participants with mitochondrial myopathy (18 participants), we found very low-certainty evidence regarding shoulder muscle (MD -5.0 kg, 95% CI -14.7 to 4.7), pectoralis major muscle (MD 6.4 kg, 95% CI -2.9 to 15.7), and anterior arm muscle strength (MD 7.3 kg, 95% CI -2.9 to 17.5). We found very low-certainty evidence regarding aerobic capacity, as measured with mean time cycled (MD 23.7 min, 95% CI 2.6 to 44.8) and mean distance cycled until exhaustion (MD 9.7 km, 95% CI 1.5 to 17.9). One trial in myotonic dystrophy type 1 (35 participants) did not provide data on muscle strength or aerobic capacity following combined training. In this trial, muscle strength deteriorated in one person and one person had worse daytime sleepiness (very low-certainty evidence). For participants with FSHD (16 participants), we found very low-certainty evidence regarding muscle strength, aerobic capacity and VO2 peak; the results were very imprecise. Most trials reported no adverse events other than muscle soreness or joint complaints (low- to very low-certainty evidence). AUTHORS' CONCLUSIONS The evidence regarding strength training and aerobic exercise interventions remains uncertain. Evidence suggests that strength training alone may have little or no effect, and that aerobic exercise training alone may lead to a possible improvement in aerobic capacity, but only for participants with FSHD. For combined aerobic exercise and strength training, there may be slight increases in muscle strength and aerobic capacity for people with dermatomyositis and polymyositis, and a slight decrease in aerobic capacity and increase in muscle strength for people with juvenile dermatomyositis. More research with robust methodology and greater numbers of participants is still required.
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Affiliation(s)
- Nicoline BM Voet
- Radboud University Medical CentreDepartment of Rehabilitation, Donders Institute for Brain, Cognition and BehaviourPO Box 9101NijmegenNetherlands6500 HB
- Rehabilitation Centre KlimmendaalArnhemNetherlands
| | | | - Baziel GM van Engelen
- Radboud University Medical CentreDepartment of Neurology, Donders Institute for Brain, Behaviour and CognitionNijmegenNetherlands
| | - Alexander CH Geurts
- Radboud University Medical CentreDepartment of Rehabilitation, Donders Institute for Brain, Cognition and BehaviourPO Box 9101NijmegenNetherlands6500 HB
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Ogier AC, Heskamp L, Michel CP, Fouré A, Bellemare M, Le Troter A, Heerschap A, Bendahan D. A novel segmentation framework dedicated to the follow‐up of fat infiltration in individual muscles of patients with neuromuscular disorders. Magn Reson Med 2019; 83:1825-1836. [DOI: 10.1002/mrm.28030] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/30/2019] [Accepted: 09/17/2019] [Indexed: 11/07/2022]
Affiliation(s)
- Augustin C. Ogier
- Aix Marseille UniversityUniversité de ToulonCNRSLIS Marseille France
- Aix Marseille UniversityCNRSCRMBM Marseille France
| | - Linda Heskamp
- Department of Radiology and Nuclear Medicine Radboud University Medical Center Nijmegen Netherlands
| | | | - Alexandre Fouré
- Aix Marseille UniversityCNRSCRMBM Marseille France
- Laboratoire Interuniversitaire de Biologie de la Motricité Université Claude Bernard Lyon 1 Villeurbanne France
| | | | | | - Arend Heerschap
- Department of Radiology and Nuclear Medicine Radboud University Medical Center Nijmegen Netherlands
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Measurement properties and utility of performance-based outcome measures of physical functioning in individuals with facioscapulohumeral dystrophy – A systematic review and evidence synthesis. Neuromuscul Disord 2019; 29:881-894. [DOI: 10.1016/j.nmd.2019.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 08/25/2019] [Accepted: 09/02/2019] [Indexed: 01/24/2023]
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Heskamp L, van Nimwegen M, Ploegmakers MJ, Bassez G, Deux JF, Cumming SA, Monckton DG, van Engelen BGM, Heerschap A. Lower extremity muscle pathology in myotonic dystrophy type 1 assessed by quantitative MRI. Neurology 2019; 92:e2803-e2814. [PMID: 31118244 PMCID: PMC6598795 DOI: 10.1212/wnl.0000000000007648] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 02/07/2019] [Indexed: 01/08/2023] Open
Abstract
Objective To determine the value of quantitative MRI in providing imaging biomarkers for disease in 20 different upper and lower leg muscles of patients with myotonic dystrophy type 1 (DM1). Methods We acquired images covering these muscles in 33 genetically and clinically well-characterized patients with DM1 and 10 unaffected controls. MRIs were recorded with a Dixon method to determine muscle fat fraction, muscle volume, and contractile muscle volume, and a multi-echo spin-echo sequence was used to determine T2 water relaxation time (T2water), reflecting putative edema. Results Muscles in patients with DM1 had higher fat fractions than muscles of controls (15.6 ± 11.1% vs 3.7 ± 1.5%). In addition, patients had smaller muscle volumes (902 ± 232 vs 1,097 ± 251 cm3), smaller contractile muscle volumes (779 ± 247 vs 1,054 ± 246 cm3), and increased T2water (33.4 ± 1.0 vs 31.9 ± 0.6 milliseconds), indicating atrophy and edema, respectively. Lower leg muscles were affected most frequently, especially the gastrocnemius medialis and soleus. Distribution of fat content per muscle indicated gradual fat infiltration in DM1. Between-patient variation in fat fraction was explained by age (≈45%), and another ≈14% was explained by estimated progenitor CTG repeat length (r2 = 0.485) and somatic instability (r2 = 0.590). Fat fraction correlated with the 6-minute walk test (r = −0.553) and muscular impairment rating scale (r = 0.537) and revealed subclinical muscle involvement. Conclusion This cross-sectional quantitative MRI study of 20 different lower extremity muscles in patients with DM1 revealed abnormal values for muscle fat fraction, volume, and T2water, which therefore may serve as objective biomarkers to assess disease state of skeletal muscles in these patients. ClinicalTrials.gov identifier NCT02118779.
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Affiliation(s)
- Linda Heskamp
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK.
| | - Marlies van Nimwegen
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - Marieke J Ploegmakers
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - Guillaume Bassez
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - Jean-Francois Deux
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - Sarah A Cumming
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - Darren G Monckton
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - Baziel G M van Engelen
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - Arend Heerschap
- From the Department of Radiology and Nuclear Medicine (L.H., M.J.P., A.H.) and Department of Neurology (M.v.N., B.G.M.v.E.), Radboud University Medical Center, Nijmegen, the Netherlands; Neuromuscular Reference Center (G.B.), Sorbonne University, INSERM UMRS 974, AP-HP, Pitié-Salpêtrière Hospital; Department of Radiology (J.-F.D.), Henri Mondor University Hospital, Paris, France; and Institute of Molecular, Cell and Systems Biology (S.A.C., D.G.M.), College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
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Paoletti M, Pichiecchio A, Cotti Piccinelli S, Tasca G, Berardinelli AL, Padovani A, Filosto M. Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives. Front Neurol 2019; 10:78. [PMID: 30804884 PMCID: PMC6378279 DOI: 10.3389/fneur.2019.00078] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 01/21/2019] [Indexed: 12/11/2022] Open
Abstract
In the last years, magnetic resonance imaging (MRI) has become fundamental for the diagnosis and monitoring of myopathies given its ability to show the severity and distribution of pathology, to identify specific patterns of damage distribution and to properly interpret a number of genetic variants. The advances in MR techniques and post-processing software solutions have greatly expanded the potential to assess pathological changes in muscle diseases, and more specifically of myopathies; a number of features can be studied and quantified, ranging from composition, architecture, mechanical properties, perfusion, and function, leading to what is known as quantitative MRI (qMRI). Such techniques can effectively provide a variety of information beyond what can be seen and assessed by conventional MR imaging; their development and application in clinical practice can play an important role in the diagnostic process and in assessing disease course and treatment response. In this review, we briefly discuss the current role of muscle MRI in diagnosing muscle diseases and describe in detail the potential and perspectives of the application of advanced qMRI techniques in this field.
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Affiliation(s)
- Matteo Paoletti
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Anna Pichiecchio
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Stefano Cotti Piccinelli
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
| | - Giorgio Tasca
- Neurology Department, Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | - Alessandro Padovani
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
| | - Massimiliano Filosto
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
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Mul K, Voermans NC, Lemmers RJLF, Jonker MA, van der Vliet PJ, Padberg GW, van Engelen BGM, van der Maarel SM, Horlings CGC. Phenotype-genotype relations in facioscapulohumeral muscular dystrophy type 1. Clin Genet 2018; 94:521-527. [PMID: 30211448 DOI: 10.1111/cge.13446] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 08/14/2018] [Accepted: 09/10/2018] [Indexed: 02/04/2023]
Abstract
To determine how much of the clinical variability in facioscapulohumeral muscular dystrophy type 1 (FSHD1) can be explained by the D4Z4 repeat array size, D4Z4 methylation and familial factors, we included 152 carriers of an FSHD1 allele (23 single cases, 129 familial cases from 37 families) and performed state-of-the-art genetic testing, extensive clinical evaluation and quantitative muscle MRI. Familial factors accounted for 50% of the variance in disease severity (FSHD clinical score). The explained variance by the D4Z4 repeat array size for disease severity was limited (approximately 10%), and varied per body region (facial muscles, upper and lower extremities approximately 30%, 15% and 3%, respectively). Unaffected gene carriers had longer repeat array sizes compared to symptomatic individuals (7.3 vs 6.0 units, P = 0.000) and slightly higher Delta1 methylation levels (D4Z4 methylation corrected for repeat size, 0.96 vs -2.46, P = 0.048). The D4Z4 repeat array size and D4Z4 methylation contribute to variability in disease severity and penetrance, but other disease modifying factors must be involved as well. The larger effect of the D4Z4 repeat array on facial muscle involvement suggests that these muscles are more sensitive to the influence of the FSHD1 locus itself, whereas leg muscle involvement seems highly dependent on modifying factors.
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Affiliation(s)
- Karlien Mul
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nicol C Voermans
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Richard J L F Lemmers
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Marianne A Jonker
- Department of Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - George W Padberg
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Baziel G M van Engelen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Corinne G C Horlings
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
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Mul K, Horlings CGC, Vincenten SCC, Voermans NC, van Engelen BGM, van Alfen N. Quantitative muscle MRI and ultrasound for facioscapulohumeral muscular dystrophy: complementary imaging biomarkers. J Neurol 2018; 265:2646-2655. [PMID: 30191320 PMCID: PMC6182682 DOI: 10.1007/s00415-018-9037-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 08/14/2018] [Accepted: 08/27/2018] [Indexed: 11/11/2022]
Abstract
Objective To assess the overlap of and differences between quantitative muscle MRI and ultrasound in characterizing structural changes in leg muscles of facioscapulohumeral muscular dystrophy (FSHD) patients. Methods We performed quantitative MRI and quantitative ultrasound of ten leg muscles in 27 FSHD patients and assessed images, both quantitatively and visually, for fatty infiltration, fibrosis and edema. Results The MRI fat fraction and ultrasound echogenicity z-score correlated strongly (CC 0.865, p < 0.05) and both correlated with clinical severity (MRI CC 0.828, ultrasound CC 0.767, p < 0.001). Ultrasound detected changes in muscle architecture in muscles that looked normal on MRI. MRI was better in detecting late stages of fatty infiltration and was more suitable to assess muscle edema. Correlations between quantitative and semi-quantitative scores were strong for MRI (CC 0.844–0.982, p < 0.05), and varied for ultrasound (CC 0.427–0.809, p = 0.026–p < 0.001). Conclusions Quantitative muscle MRI and ultrasound are both promising imaging biomarkers for differentiating between degrees of structural muscle changes. As ultrasound is more sensitive to detect subtle structural changes and MRI is more accurate in end stage muscles and detecting edema, the techniques are complementary. Hence, the choice for a particular technique should be considered in light of the trial design.
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Affiliation(s)
- Karlien Mul
- Department of Neurology and Clinical Neurophysiology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.
| | - Corinne G C Horlings
- Department of Neurology and Clinical Neurophysiology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Sanne C C Vincenten
- Department of Neurology and Clinical Neurophysiology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Nicol C Voermans
- Department of Neurology and Clinical Neurophysiology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Baziel G M van Engelen
- Department of Neurology and Clinical Neurophysiology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Nens van Alfen
- Department of Neurology and Clinical Neurophysiology, Radboud University Medical Center, PO Box 9101, 6500 HB, Nijmegen, The Netherlands
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Morrow JM, Evans MRB, Grider T, Sinclair CDJ, Thedens D, Shah S, Yousry TA, Hanna MG, Nopoulos P, Thornton JS, Shy ME, Reilly MM. Validation of MRC Centre MRI calf muscle fat fraction protocol as an outcome measure in CMT1A. Neurology 2018; 91:e1125-e1129. [PMID: 30120135 PMCID: PMC6161551 DOI: 10.1212/wnl.0000000000006214] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 06/26/2018] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To translate the quantitative MRC Centre MRI protocol in Charcot-Marie-Tooth disease type 1A (CMT1A) to a second site; validate its responsiveness in an independent cohort; and test the benefit of participant stratification to increase outcome measure responsiveness. METHODS Three healthy volunteers were scanned for intersite standardization. For the longitudinal patient study, 11 patients with CMT1A were recruited with 10 patients rescanned at a 12-month interval. Three-point Dixon MRI of leg muscles was performed to generate fat fraction (FF) maps, transferred to a central site for quality control and analysis. Clinical data collected included CMT Neuropathy Score. RESULTS Test-retest reliability of FF within individual healthy calf muscles at the remote site was excellent: intraclass correlation coefficient 0.79, limits of agreement -0.67 to +0.85 %FF. In patients, mean calf muscle FF was 21.0% and correlated strongly with disease severity and age. Calf muscle FF significantly increased over 12 months (+1.8 ± 1.7 %FF, p = 0.009). Patients with baseline FF >10% showed a 12-month FF increase of 2.9% ± 1.3% (standardized response mean = 2.19). CONCLUSIONS We have validated calf muscle FF as an outcome measure in an independent cohort of patients with CMT1A. Responsiveness is significantly improved by enrolling a stratified patient cohort with baseline calf FF >10%.
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Affiliation(s)
- Jasper M Morrow
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Matthew R B Evans
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Tiffany Grider
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Christopher D J Sinclair
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Daniel Thedens
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Sachit Shah
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Tarek A Yousry
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Michael G Hanna
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Peggy Nopoulos
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - John S Thornton
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Michael E Shy
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City
| | - Mary M Reilly
- From the MRC Centre for Neuromuscular Diseases (J.M.M., M.R.B.E., C.D.J.S., T.A.Y., M.G.H., J.S.T., M.M.R.) and Neuroradiological Academic Unit (S.S.), UCL Institute of Neurology, London, UK; Carver College of Medicine (T.G., P.N., M.E.S.) and Department of Radiology (D.T.), University of Iowa, Iowa City.
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Spitali P, Hettne K, Tsonaka R, Charrout M, van den Bergen J, Koeks Z, Kan HE, Hooijmans MT, Roos A, Straub V, Muntoni F, Al-Khalili-Szigyarto C, Koel-Simmelink MJA, Teunissen CE, Lochmüller H, Niks EH, Aartsma-Rus A. Tracking disease progression non-invasively in Duchenne and Becker muscular dystrophies. J Cachexia Sarcopenia Muscle 2018; 9:715-726. [PMID: 29682908 PMCID: PMC6104105 DOI: 10.1002/jcsm.12304] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 01/25/2018] [Accepted: 03/10/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Analysis of muscle biopsies allowed to characterize the pathophysiological changes of Duchenne and Becker muscular dystrophies (D/BMD) leading to the clinical phenotype. Muscle tissue is often investigated during interventional dose finding studies to show in situ proof of concept and pharmacodynamics effect of the tested drug. Less invasive readouts are needed to objectively monitor patients' health status, muscle quality, and response to treatment. The identification of serum biomarkers correlating with clinical function and able to anticipate functional scales is particularly needed for personalized patient management and to support drug development programs. METHODS A large-scale proteomic approach was used to identify serum biomarkers describing pathophysiological changes (e.g. loss of muscle mass), association with clinical function, prediction of disease milestones, association with in vivo 31 P magnetic resonance spectroscopy data and dystrophin levels in muscles. Cross-sectional comparisons were performed to compare DMD patients, BMD patients, and healthy controls. A group of DMD patients was followed up for a median of 4.4 years to allow monitoring of individual disease trajectories based on yearly visits. RESULTS Cross-sectional comparison enabled to identify 10 proteins discriminating between healthy controls, DMD and BMD patients. Several proteins (285) were able to separate DMD from healthy, while 121 proteins differentiated between BMD and DMD; only 13 proteins separated BMD and healthy individuals. The concentration of specific proteins in serum was significantly associated with patients' performance (e.g. BMP6 serum levels and elbow flexion) or dystrophin levels (e.g. TIMP2) in BMD patients. Analysis of longitudinal trajectories allowed to identify 427 proteins affected over time indicating loss of muscle mass, replacement of muscle by adipose tissue, and cardiac involvement. Over-representation analysis of longitudinal data allowed to highlight proteins that could be used as pharmacodynamic biomarkers for drugs currently in clinical development. CONCLUSIONS Serum proteomic analysis allowed to not only discriminate among DMD, BMD, and healthy subjects, but it enabled to detect significant associations with clinical function, dystrophin levels, and disease progression.
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Affiliation(s)
- Pietro Spitali
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Kristina Hettne
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Roula Tsonaka
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Mohammed Charrout
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Zaïda Koeks
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hermien E Kan
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Melissa T Hooijmans
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Andreas Roos
- John Walton Muscular Dystrophy Research Centre, MRC Centre for Neuromuscular Diseases, Institute of Genetic Medicine, University of Newcastle, Newcastle upon Tyne, UK
| | - Volker Straub
- John Walton Muscular Dystrophy Research Centre, MRC Centre for Neuromuscular Diseases, Institute of Genetic Medicine, University of Newcastle, Newcastle upon Tyne, UK
| | - Francesco Muntoni
- Dubowitz Neuromuscular Centre, University College London Great Ormond Street Institute of Child Health, London, UK
| | | | - Marleen J A Koel-Simmelink
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, The Netherlands
| | - Hanns Lochmüller
- John Walton Muscular Dystrophy Research Centre, MRC Centre for Neuromuscular Diseases, Institute of Genetic Medicine, University of Newcastle, Newcastle upon Tyne, UK
| | - Erik H Niks
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Annemieke Aartsma-Rus
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.,C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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Spitali P, Hettne K, Tsonaka R, Sabir E, Seyer A, Hemerik JBA, Goeman JJ, Picillo E, Ergoli M, Politano L, Aartsma-Rus A. Cross-sectional serum metabolomic study of multiple forms of muscular dystrophy. J Cell Mol Med 2018; 22:2442-2448. [PMID: 29441734 PMCID: PMC5867073 DOI: 10.1111/jcmm.13543] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 12/13/2017] [Indexed: 12/25/2022] Open
Abstract
Muscular dystrophies are characterized by a progressive loss of muscle tissue and/or muscle function. While metabolic alterations have been described in patients’‐derived muscle biopsies, non‐invasive readouts able to describe these alterations are needed in order to objectively monitor muscle condition and response to treatment targeting metabolic abnormalities. We used a metabolomic approach to study metabolites concentration in serum of patients affected by multiple forms of muscular dystrophy such as Duchenne and Becker muscular dystrophies, limb‐girdle muscular dystrophies type 2A and 2B, myotonic dystrophy type 1 and facioscapulohumeral muscular dystrophy. We show that 15 metabolites involved in energy production, amino acid metabolism, testosterone metabolism and response to treatment with glucocorticoids were differentially expressed between healthy controls and Duchenne patients. Five metabolites were also able to discriminate other forms of muscular dystrophy. In particular, creatinine and the creatine/creatinine ratio were significantly associated with Duchenne patients performance as assessed by the 6‐minute walk test and north star ambulatory assessment. The obtained results provide evidence that metabolomics analysis of serum samples can provide useful information regarding muscle condition and response to treatment, such as to glucocorticoids treatment.
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Affiliation(s)
- Pietro Spitali
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Kristina Hettne
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Roula Tsonaka
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Ekrem Sabir
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Jesse B A Hemerik
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jelle J Goeman
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
| | - Esther Picillo
- Cardiomyology and Medical Genetics, Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Manuela Ergoli
- Cardiomyology and Medical Genetics, Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Luisa Politano
- Cardiomyology and Medical Genetics, Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Annemieke Aartsma-Rus
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
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48
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222nd ENMC International Workshop:: Myotonic dystrophy, developing a European consortium for care and therapy, Naarden, The Netherlands, 1-2 July 2016. Neuromuscul Disord 2018; 28:463-469. [PMID: 29550152 DOI: 10.1016/j.nmd.2018.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 02/05/2018] [Indexed: 01/08/2023]
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Integrating clinical and genetic observations in facioscapulohumeral muscular dystrophy. Curr Opin Neurol 2018; 29:606-13. [PMID: 27389814 DOI: 10.1097/wco.0000000000000360] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
PURPOSE OF REVIEW This review gives an overview of the currently known key clinical and (epi)genetic aspects of facioscapulohumeral muscular dystrophy (FSHD) and provides perspectives to facilitate future research. RECENT FINDINGS Clinically, imaging studies have contributed to a detailed characterization of the FSHD phenotype, and a model is proposed with five stages of disease progression. A number of clinical trials have been conducted regarding exercise and diet aiming to reduce symptoms. Genetically, at least two different mechanisms (FSHD1 and FSHD2) lead to double homeobox 4 (DUX4) expression in skeletal myocytes, which is expected to be necessary for the disease. Disease severity is most likely determined by a combination of the D4Z4 repeat size and its epigenetic state. SUMMARY FSHD is one of the most common muscular dystrophies and is characterized by a typical distribution of muscle weakness. Progress has been made on clinical as well as on (epi)genetic aspects of the disease. Currently, there is no cure available for FSHD. For successful development of new treatments targeting the disease process, integration of clinical and pathogenetic knowledge is essential. A clinical trial toolbox that consists of patient registries, biomarkers and clinical outcome measures will be required to effectively conduct future clinical trials.
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Rajabally YA, Delmont E, Hiew FL, Aubé-Nathier AC, Grapperon AM, Cassereau J, Attarian S. Prevalence, correlates and impact of pain and cramps in anti-MAG neuropathy: a multicentre European study. Eur J Neurol 2017; 25:135-141. [DOI: 10.1111/ene.13459] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 09/07/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Y. A. Rajabally
- School of Life and Health Sciences, Aston Brain Centre; Aston University; Birmingham UK
- Regional Neuromuscular Clinic, Queen Elizabeth Hospital; University Hospitals of Birmingham; Birmingham UK
| | - E. Delmont
- Reference Centre for Neuromuscular Diseases and ALS; Centre Hospitalier Universitaire La Timone; Marseille France
| | - F. L. Hiew
- Regional Neuromuscular Clinic, Queen Elizabeth Hospital; University Hospitals of Birmingham; Birmingham UK
| | - A.-C. Aubé-Nathier
- Centre de Référence Maladies Neuromusculaires de l'Enfant et de l'Adulte Nantes-Angers; Centre Hospitalier Universitaire d'Angers; Angers France
| | - A.-M. Grapperon
- Reference Centre for Neuromuscular Diseases and ALS; Centre Hospitalier Universitaire La Timone; Marseille France
| | - J. Cassereau
- Centre de Référence Maladies Neuromusculaires de l'Enfant et de l'Adulte Nantes-Angers; Centre Hospitalier Universitaire d'Angers; Angers France
| | - S. Attarian
- Reference Centre for Neuromuscular Diseases and ALS; Centre Hospitalier Universitaire La Timone; Marseille France
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