51
|
Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases. Eur Radiol 2020; 31:4264-4276. [PMID: 33219846 DOI: 10.1007/s00330-020-07487-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 10/29/2020] [Accepted: 11/06/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Magnetic resonance imaging (MRI) constitutes a powerful outcome measure in neuromuscular disorders, yet there is a broad diversity of approaches in data acquisition and analysis. Since each neuromuscular disease presents a specific pattern of muscle involvement, the recommended analysis is assumed to be the muscle-by-muscle approach. We, therefore, performed a comparative analysis of different segmentation approaches, including global muscle segmentation, to determine the best strategy for evaluating disease progression. METHODS In 102 patients (21 immune-mediated necrotizing myopathy/IMNM, 21 inclusion body myositis/IBM, 10 GNE myopathy/GNEM, 19 Duchenne muscular dystrophy/DMD, 12 dysferlinopathy/DYSF, 7 limb-girdle muscular dystrophy/LGMD2I, 7 Pompe disease, 5 spinal muscular atrophy/SMA), two MRI scans were obtained at a 1-year interval in thighs and lower legs. Regions of interest (ROIs) were drawn in individual muscles, muscle groups, and the global muscle segment. Standardized response means (SRMs) were determined to assess sensitivity to change in fat fraction (ΔFat%) in individual muscles, muscle groups, weighted combinations of muscles and muscle groups, and in the global muscle segment. RESULTS Global muscle segmentation gave high SRMs for ΔFat% in thigh and lower leg for IMNM, DYSF, LGMD2I, DMD, SMA, and Pompe disease, and only in lower leg for GNEM and thigh for IBM. CONCLUSIONS Global muscle segment Fat% showed to be sensitive to change in most investigated neuromuscular disorders. As compared to individual muscle drawing, it is a faster and an easier approach to assess disease progression. The use of individual muscle ROIs, however, is still of interest for exploring selective muscle involvement. KEY POINTS • MRI-based evaluation of fatty replacement in muscles is used as an outcome measure in the assessment of 1-year disease progression in 8 different neuromuscular diseases. • Different segmentation approaches, including global muscle segmentation, were evaluated for determining 1-year fat fraction changes in lower limb skeletal muscles. • Global muscle segment fat fraction has shown to be sensitive to change in lower leg and thigh in most of the investigated neuromuscular diseases.
Collapse
|
52
|
Hooijmans MT, Froeling M, Koeks Z, Verschuuren JJ, Webb A, Niks EH, Kan HE. Multi-parametric MR in Becker muscular dystrophy patients. NMR IN BIOMEDICINE 2020; 33:e4385. [PMID: 32754921 PMCID: PMC7687231 DOI: 10.1002/nbm.4385] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 07/09/2020] [Accepted: 07/13/2020] [Indexed: 05/14/2023]
Abstract
Quantitative MRI and MRS of muscle are increasingly being used to measure individual pathophysiological processes in Becker muscular dystrophy (BMD). In particular, muscle fat fraction was shown to be highly associated with functional tests in BMD. However, the muscle strength per unit of contractile cross-sectional area is lower in patients with BMD compared with healthy controls. This suggests that the quality of the non-fat-replaced (NFR) muscle tissue is lower than in healthy controls. Consequently, a measure that reflects changes in muscle tissue itself is needed. Here, we explore the potential of water T2 relaxation times, diffusion parameters and phosphorus metabolic indices as early disease markers in patients with BMD. For this purpose, we examined these measures in fat-replaced (FR) and NFR lower leg muscles in patients with BMD and compared these values with those in healthy controls. Quantitative proton MRI (three-point Dixon, multi-spin-echo and diffusion-weighted spin-echo echo planar imaging) and 2D chemical shift imaging 31 P MRS data were acquired in 24 patients with BMD (age 18.8-66.2 years) and 13 healthy controls (age 21.3-63.6 years). Muscle fat fractions, phosphorus metabolic indices, and averages and standard deviations (SDs) of the water T2 relaxation times and diffusion tensor imaging (DTI) parameters were assessed in six individual leg muscles. Phosphodiester levels were increased in the NFR and FR tibialis anterior, FR peroneus and FR gastrocnemius lateralis muscles. No clear pattern was visible for the other metabolic indices. Increased T2 SD was found in the majority of FR muscles compared with NFR and healthy control muscles. No differences in average water T2 relaxation times or DTI indices were found between groups. Overall, our results indicate that primarily muscles that are further along in the disease process showed increases in T2 heterogeneity and changes in some metabolic indices. No clear differences were found for the DTI indices between groups.
Collapse
Affiliation(s)
- Melissa T. Hooijmans
- C.J. Gorter Center, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
- Department of Biomedical Engineering & PhysicsAmsterdam University Medical CentersAmsterdamThe Netherlands
| | - Martijn Froeling
- Department of RadiologyUtrecht University Medical CenterUtrechtThe Netherlands
| | - Zaida Koeks
- Department of NeurologyLeiden University Medical CenterLeidenThe Netherlands
| | - Jan J.G.M. Verschuuren
- Department of NeurologyLeiden University Medical CenterLeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Andrew Webb
- C.J. Gorter Center, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
| | - Erik H. Niks
- Department of NeurologyLeiden University Medical CenterLeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Hermien E. Kan
- C.J. Gorter Center, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| |
Collapse
|
53
|
Lee JH, Yoon YC, Kim HS, Kim JH, Choi BO. Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers. Eur Radiol 2020; 31:3508-3517. [PMID: 33125561 DOI: 10.1007/s00330-020-07435-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/08/2020] [Accepted: 10/15/2020] [Indexed: 01/30/2023]
Abstract
OBJECTIVES To explore whether texture features using T1-weighted images correlate with fat fraction, and whether they differ between Charcot-Marie-Tooth (CMT) disease patients and volunteers. METHODS The institutional review board approved this retrospective study, and the requirement for informed consent was waived; data of eighteen CMT patients and eighteen healthy volunteers from a previous study was used. Texture features of the muscles including mean, standard deviation (SD), skewness, kurtosis, and entropy of the signal intensity were derived from T1-weighted images. Spearman's correlation analysis was used to assess the relationship between texture features and fat fraction measured by 3D multiple gradient echo Dixon-based sequence. Mann-Whitney U test was used to compare the texture features between CMT patients and volunteers. Intraobserver and interobserver agreements for the texture features were assessed using the intraclass correlation coefficient. RESULTS The SD (ρ = 0.256, p < 0.001) and entropy (ρ = 0.263, p < 0.001) were significantly and positively correlated with fat fraction; skewness (ρ = - 0.110, p = 0.027) and kurtosis (ρ = - 0.149, p = 0.003) were significantly and inversely correlated with fat fraction. The CMT patients showed a significantly higher SD (63.45 vs. 49.26; p < 0.001), skewness (1.06 vs. 0.56; p < 0.001), kurtosis (4.00 vs. 1.81; p < 0.001), and entropy (3.20 vs. 3.02; p < 0.001) than did the volunteers. Intraobserver and interobserver agreements were almost perfect for mean, SD, and entropy. CONCLUSIONS Texture features using T1-weighted images correlated with fat fraction and differed between CMT patients and volunteers. KEY POINTS • Standard deviation and entropy of muscles derived from T1-weighted images were significantly and positively correlated with the muscle fat fraction. • Mean, standard deviation, and entropy were considered highly reliable in muscle analyses. • Texture features may have the potential to diagnose early stage of intramuscular fatty infiltration.
Collapse
Affiliation(s)
- Ji Hyun Lee
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Young Cheol Yoon
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, South Korea.
| | - Hyun Su Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Jae-Hun Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Byung-Ok Choi
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, South Korea
| |
Collapse
|
54
|
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: 46] [Impact Index Per Article: 11.5] [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.
Collapse
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
| |
Collapse
|
55
|
Campbell C, Barohn RJ, Bertini E, Chabrol B, Comi GP, Darras BT, Finkel RS, Flanigan KM, Goemans N, Iannaccone ST, Jones KJ, Kirschner J, Mah JK, Mathews KD, McDonald CM, Mercuri E, Nevo Y, Péréon Y, Renfroe JB, Ryan MM, Sampson JB, Schara U, Sejersen T, Selby K, Tulinius M, Vílchez JJ, Voit T, Wei LJ, Wong BL, Elfring G, Souza M, McIntosh J, Trifillis P, Peltz SW, Muntoni F. Meta-analyses of ataluren randomized controlled trials in nonsense mutation Duchenne muscular dystrophy. J Comp Eff Res 2020; 9:973-984. [DOI: 10.2217/cer-2020-0095] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: Assess the totality of efficacy evidence for ataluren in patients with nonsense mutation Duchenne muscular dystrophy (nmDMD). Materials & methods: Data from the two completed randomized controlled trials (ClinicalTrials.gov: NCT00592553; NCT01826487) of ataluren in nmDMD were combined to examine the intent-to-treat (ITT) populations and two patient subgroups (baseline 6-min walk distance [6MWD] ≥300–<400 or <400 m). Meta-analyses examined 6MWD change from baseline to week 48. Results: Statistically significant differences in 6MWD change with ataluren versus placebo were observed across all three meta-analyses. Least-squares mean difference (95% CI): ITT (n = 342), +17.2 (0.2–34.1) m, p = 0.0473; ≥300–<400 m (n = 143), +43.9 (18.2–69.6) m, p = 0.0008; <400 m (n = 216), +27.7 (6.4–49.0) m, p = 0.0109. Conclusion: These meta-analyses support previous evidence for ataluren in slowing disease progression versus placebo in patients with nmDMD over 48 weeks. Treatment benefit was most evident in patients with a baseline 6MWD ≥300–<400 m (the ambulatory transition phase), thereby informing future trial design.
Collapse
Affiliation(s)
- Craig Campbell
- Schulich School of Medicine & Dentistry, Western University, London, ON, N6A 5C1, Canada
| | | | - Enrico Bertini
- Bambino Gesù Children’s Research Hospital, Rome, 00146, Italy
| | - Brigitte Chabrol
- Hôpital de la Timone, Unité de Médecine Infantile, Marseille, 13385, France
| | - Giacomo Pietro Comi
- IRCCS Fondazione Ca'Granda Ospedale Maggiore Policlinico, Dino Ferrari Centre, Department of Pathophysiology & Transplantation, University of Milan, Milan, 20122, Italy
| | - Basil T Darras
- Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Richard S Finkel
- Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | | | | | | | - Kristi J Jones
- Kids Neuroscience, The Children’s Hospital at Westmead, Westmead, NSW, 2145, Australia
| | - Janbernd Kirschner
- Department of Neuropediatrics & Muscle Disorders, Medical Center, University of Freiburg, Freiburg 79110, Germany
| | - Jean K Mah
- Department of Pediatrics, Division of Pediatric Neurology, Alberta Children’s Hospital, University of Calgary, Calgary, AB T3B 6A8, Canada
| | - Katherine D Mathews
- Departments of Pediatrics & Neurology, Division of Pediatric Neurology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA
| | - Craig M McDonald
- University of California Davis Health, Sacramento, CA 95817, USA
| | - Eugenio Mercuri
- Department of Pediatric Neurology, Catholic University, Rome, 00168, Italy
| | - Yoram Nevo
- Schneider Children’s Medical Center, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Yann Péréon
- Reference Centre for Neuromuscular Disorders AOC, Hôtel-Dieu, Nantes, 44000, France
| | - J Ben Renfroe
- Child Neurology Center of Northwest Florida, Gulf Breeze, FL 32561, USA
| | - Monique M Ryan
- The Royal Children’s Hospital, Parkville, Victoria, 3052, Australia
| | - Jacinda B Sampson
- Stanford University Medical Center, Department of Neurology & Neurological Sciences, Stanford, CA 94305, USA
| | - Ulrike Schara
- Department of Pediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, 45122, Germany
| | - Thomas Sejersen
- Karolinska University Hospital, Karolinska Institutet, Stockholm, 171 76, Sweden
| | - Kathryn Selby
- Division of Neurology, British Columbia Children’s Hospital, Vancouver, BC, V6H 3N1, Canada
| | - Már Tulinius
- Gothenburg University, Queen Silvia Children’s Hospital, Gothenburg, 416 85, Sweden
| | - Juan J Vílchez
- Hospital Universitario y Politécnico La Fe, CIBERER, Valencia, 46026, Spain
| | - Thomas Voit
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London & UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital Trust, London, WC1N 1EH, UK
| | - Lee-Jen Wei
- Harvard TH Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Brenda L Wong
- University of Massachusetts Medical School, UMass, Worcester, MA 01655, USA
| | - Gary Elfring
- PTC Therapeutics Inc., South Plainfield, NJ 07080, USA
| | - Marcio Souza
- PTC Therapeutics Inc., South Plainfield, NJ 07080, USA
| | | | | | | | - Francesco Muntoni
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London & UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital Trust, London, WC1N 1EH, UK
| | | | | | | |
Collapse
|
56
|
Weber MA, Nagel AM, Kan HE, Wattjes MP. Quantitative Imaging in Muscle Diseases with Focus on Non-proton MRI and Other Advanced MRI Techniques. Semin Musculoskelet Radiol 2020; 24:402-412. [PMID: 32992368 DOI: 10.1055/s-0040-1712955] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The role of neuromuscular imaging in the diagnosis of inherited and acquired muscle diseases has gained clinical relevance. In particular, magnetic resonance imaging (MRI), especially whole-body applications, is increasingly being used for the diagnosis and monitoring of disease progression. In addition, they are considered as a powerful outcome measure in clinical trials. Because many muscle diseases have a distinct muscle involvement pattern, whole-body imaging can be of diagnostic value by identifying this pattern and thus narrowing the differential diagnosis and supporting the clinical diagnosis. In addition, more advanced MRI applications including non-proton MRI, diffusion tensor imaging, perfusion MRI, T2 mapping, and magnetic resonance spectroscopy provide deeper insights into muscle pathophysiology beyond the mere detection of fatty degeneration and/or muscle edema. In this review article, we present and discuss recent data on these quantitative MRI techniques in muscle diseases, with a particular focus on non-proton imaging techniques.
Collapse
Affiliation(s)
- Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany
| | - Armin M Nagel
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.,Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermien E Kan
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.,Duchenne Center, The Netherlands
| | - Mike P Wattjes
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| |
Collapse
|
57
|
Sarkozy A, Foley AR, Zambon AA, Bönnemann CG, Muntoni F. LAMA2-Related Dystrophies: Clinical Phenotypes, Disease Biomarkers, and Clinical Trial Readiness. Front Mol Neurosci 2020; 13:123. [PMID: 32848593 PMCID: PMC7419697 DOI: 10.3389/fnmol.2020.00123] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/17/2020] [Indexed: 12/19/2022] Open
Abstract
Mutations in the LAMA2 gene affect the production of the α2 subunit of laminin-211 (= merosin) and result in either partial or complete laminin-211 deficiency. Complete merosin deficiency is typically associated with a more severe congenital muscular dystrophy (CMD), clinically manifested by hypotonia and weakness at birth, the development of contractures of large joints, and progressive respiratory involvement. Muscle atrophy and severe weakness typically prevent independent ambulation. Partial merosin deficiency is mostly manifested by later onset limb-girdle weakness and joint contractures so that independent ambulation is typically achieved. Collectively, complete and partial merosin deficiency is referred to as LAMA2-related dystrophies (LAMA2-RDs) and represents one of the most common forms of congenital muscular dystrophies worldwide. LAMA2-RDs are classically characterized by both central and peripheral nervous system involvement with abnormal appearing white matter (WM) on brain MRI and dystrophic appearing muscle on muscle biopsy as well as creatine kinase (CK) levels commonly elevated to >1,000 IU/L. Next-generation sequencing (NGS) has greatly improved diagnostic abilities for LAMA2-RD, and the majority of patients with merosin deficiency carry recessive pathogenic variants in the LAMA2 gene. The existence of multiple animal models for LAMA2-RDs has helped to advance our understanding of laminin-211 and has been instrumental in preclinical research progress and translation to clinical trials. The first clinical trial for the LAMA2-RDs was a phase 1 pharmacokinetic and safety study of the anti-apoptotic compound omigapil, based on preclinical studies performed in the dy W/dy W and dy 2J/dy 2J mouse models. This phase 1 study enabled the collection of pulmonary and motor outcome measures and also provided the opportunity for investigating exploratory outcome measures including muscle ultrasound, muscle MRI and serum, and urine biomarker collection. Natural history studies, including a five-year prospective natural history and comparative outcome measures study in patients with LAMA2-RD, have helped to better delineate the natural history and identify viable outcome measures. Plans for further clinical trials for LAMA2-RDs are presently in progress, highlighting the necessity of identifying adequate, disease-relevant biomarkers, capable of reflecting potential therapeutic changes, in addition to refining the clinical outcome measures and time-to-event trajectory analysis of affected patients.
Collapse
Affiliation(s)
- Anna Sarkozy
- Dubowitz Neuromuscular Centre, Institute of Child Health, Great Ormond Street Hospital for Children, London, United Kingdom
| | - A Reghan Foley
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Alberto A Zambon
- Dubowitz Neuromuscular Centre, Institute of Child Health, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Carsten G Bönnemann
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Francesco Muntoni
- Dubowitz Neuromuscular Centre, Institute of Child Health, Great Ormond Street Hospital for Children, London, United Kingdom.,National Institute for Health Research Great Ormond Street Hospital Biomedical Research Centre, London, United Kingdom
| |
Collapse
|
58
|
Taverna S, Cammarata G, Colomba P, Sciarrino S, Zizzo C, Francofonte D, Zora M, Scalia S, Brando C, Curto AL, Marsana EM, Olivieri R, Vitale S, Duro G. Pompe disease: pathogenesis, molecular genetics and diagnosis. Aging (Albany NY) 2020; 12:15856-15874. [PMID: 32745073 PMCID: PMC7467391 DOI: 10.18632/aging.103794] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 07/14/2020] [Indexed: 12/14/2022]
Abstract
Pompe disease (PD) is a rare autosomal recessive disorder caused by mutations in the GAA gene, localized on chromosome 17 and encoding for acid alpha-1,4-glucosidase (GAA). Currently, more than 560 mutations spread throughout GAA gene have been reported. GAA catalyzes the hydrolysis of α-1,4 and α-1,6-glucosidic bonds of glycogen and its deficiency leads to lysosomal storage of glycogen in several tissues, particularly in muscle. PD is a chronic and progressive pathology usually characterized by limb-girdle muscle weakness and respiratory failure. PD is classified as infantile and childhood/adult forms. PD patients exhibit a multisystemic manifestation that depends on age of onset. Early diagnosis is essential to prevent or reduce the irreversible organ damage associated with PD progression. Here, we make an overview of PD focusing on pathogenesis, clinical phenotypes, molecular genetics, diagnosis, therapies, autophagy and the role of miRNAs as potential biomarkers for PD.
Collapse
Affiliation(s)
- Simona Taverna
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Giuseppe Cammarata
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Paolo Colomba
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Serafina Sciarrino
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Carmela Zizzo
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Daniele Francofonte
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Marco Zora
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Simone Scalia
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Chiara Brando
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Alessia Lo Curto
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Emanuela Maria Marsana
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Roberta Olivieri
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Silvia Vitale
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| | - Giovanni Duro
- Institute for Biomedical Research and Innovation (IRIB-CNR), National Research Council of Italy, Palermo, Italy
| |
Collapse
|
59
|
Nuñez-Peralta C, Alonso-Pérez J, Llauger J, Segovia S, Montesinos P, Belmonte I, Pedrosa I, Montiel E, Alonso-Jiménez A, Sánchez-González J, Martínez-Noguera A, Illa I, Díaz-Manera J. Follow-up of late-onset Pompe disease patients with muscle magnetic resonance imaging reveals increase in fat replacement in skeletal muscles. J Cachexia Sarcopenia Muscle 2020; 11:1032-1046. [PMID: 32129012 PMCID: PMC7432562 DOI: 10.1002/jcsm.12555] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 12/25/2019] [Accepted: 01/30/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Late-onset Pompe disease (LOPD) is a genetic disorder characterized by progressive degeneration of the skeletal muscles produced by a deficiency of the enzyme acid alpha-glucosidase. Enzymatic replacement therapy with recombinant human alpha-glucosidase seems to reduce the progression of the disease; although at the moment, it is not completely clear to what extent. Quantitative muscle magnetic resonance imaging (qMRI) is a good biomarker for the follow-up of fat replacement in neuromuscular disorders. The aim of this study was to describe the changes observed in fat replacement in skeletal muscles using qMRI in a cohort of LOPD patients followed prospectively. METHODS A total of 36 LOPD patients were seen once every year for 4 years. qMRI, several muscle function tests, spirometry, activities of daily living scales, and quality-of-life scales were performed on each visit. Muscle MRI consisted of two-point Dixon studies of the trunk and thigh muscles. Computer analysis of the images provided the percentage of muscle degenerated and replaced by fat in every muscle (known as fat fraction). Longitudinal analysis of the measures was performed using linear mixed models applying the Greenhouse-Geisser test. RESULTS We detected a statistically significant and continuous increase in mean thigh fat fraction both in treated (+5.8% in 3 years) and in pre-symptomatic patients (+2.6% in 3years) (Greenhouse-Geisser p < 0.05). As an average, fat fraction increased by 1.9% per year in treated patients, compared with 0.8% in pre-symptomatic patients. Fat fraction significantly increased in every muscle of the thighs. We observed a significant correlation between changes observed in fat fraction in qMRI and changes observed in the results of the muscle function tests performed. Moreover, we identified that muscle performance and mean thigh fat fraction at baseline visit were independent parameters influencing fat fraction progression over 4 years (analysis of covariance, p < 0.05). CONCLUSIONS Our study identifies that skeletal muscle fat fraction continues to increase in patients with LOPD despite the treatment with enzymatic replacement therapy. These results suggest that the process of muscle degeneration is not stopped by the treatment and could impact muscle function over the years. Hereby, we show that fat fraction along with muscle function tests can be considered a good outcome measures for clinical trials in LOPD patients.
Collapse
Affiliation(s)
- Claudia Nuñez-Peralta
- Radiology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jorge Alonso-Pérez
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Spain
| | - Jaume Llauger
- Radiology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sonia Segovia
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
| | | | - Izaskun Belmonte
- Rehabilitation and Physiotherapy Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Irene Pedrosa
- Rehabilitation and Physiotherapy Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elena Montiel
- Rehabilitation and Physiotherapy Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alicia Alonso-Jiménez
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Spain
| | | | - Antonio Martínez-Noguera
- Radiology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Isabel Illa
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Barcelona, Spain
| | - Jordi Díaz-Manera
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Barcelona, Spain.,John Walton Muscular Dystrophy Research Center, University of Newcastle, UK
| |
Collapse
|
60
|
Senesac CR, Barnard AM, Lott DJ, Nair KS, Harrington AT, Willcocks RJ, Zilke KL, Rooney WD, Walter GA, Vandenborne K. Magnetic Resonance Imaging Studies in Duchenne Muscular Dystrophy: Linking Findings to the Physical Therapy Clinic. Phys Ther 2020; 100:2035-2048. [PMID: 32737968 PMCID: PMC7596892 DOI: 10.1093/ptj/pzaa140] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/30/2020] [Indexed: 12/31/2022]
Abstract
Duchenne muscular dystrophy (DMD) is a muscle degenerative disorder that manifests in early childhood and results in progressive muscle weakness. Physical therapists have long been an important component of the multidisciplinary team caring for people with DMD, providing expertise in areas of disease assessment, contracture management, assistive device prescription, and exercise prescription. Over the last decade, magnetic resonance imaging of muscles in people with DMD has led to an improved understanding of the muscle pathology underlying the clinical manifestations of DMD. Findings from magnetic resonance imaging (MRI) studies in DMD, paired with the clinical expertise of physical therapists, can help guide research that leads to improved physical therapist care for this unique patient population. The 2 main goals of this perspective article are to (1) summarize muscle pathology and disease progression findings from qualitative and quantitative muscle MRI studies in DMD and (2) link MRI findings of muscle pathology to the clinical manifestations observed by physical therapists with discussion of any potential implications of MRI findings on physical therapy management.
Collapse
Affiliation(s)
| | | | | | - Kavya S Nair
- Department of Physical Therapy, University of Florida
| | - Ann T Harrington
- Center for Rehabilitation, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania; and Department of Physical Therapy, Arcadia University, Glenside, Pennsylvania
| | | | - Kirsten L Zilke
- Oregon Health & Science University, Shriners Hospitals for Children, Portland, Oregon
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University
| | - Glenn A Walter
- Department of Physiology and Functional Genomics, University of Florida
| | | |
Collapse
|
61
|
Al-Khalili Szigyarto C. Duchenne Muscular Dystrophy: recent advances in protein biomarkers and the clinical application. Expert Rev Proteomics 2020; 17:365-375. [PMID: 32713262 DOI: 10.1080/14789450.2020.1773806] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
INTRODUCTION Early biomarker discovery studies have praised the value of their emerging results, predicting an unprecedented impact on health care. Biomarkers are expected to provide tests with increased specificity and sensitivity compared to existing measures, improve the decision-making process, and accelerate the development of therapies. For rare disorders, like Duchenne Muscular Dystrophy (DMD) such biomarkers can assist the development of therapies, therefore also helping to find a cure for the disease. AREA COVERED State-of-the-art technologies have been used to identify blood biomarkers for DMD and efforts have been coordinated to develop and promote translation of biomarkers for clinical practice. Biomarker translation to clinical practice is however, adjoined by challenges related to the complexity of the disease, involving numerous biological processes, and the limited sample resources. This review highlights the current progress on the development of biomarkers, describing the proteomics technologies used, the most promising findings and the challenges encountered. EXPERT OPINION Strategies for effective use of samples combined with orthogonal proteomics methods for protein quantification are essential for translating biomarkers to the patient's bed side. Progress is achieved only if strong evidence is provided that the biomarker constitutes a reliable indicator of the patient's health status for a specific context of use.
Collapse
Affiliation(s)
- Cristina Al-Khalili Szigyarto
- Science for Life Laboratory, KTH - Royal Institute of Technology , Solna, Sweden.,School of Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology , Stockholm, Sweden
| |
Collapse
|
62
|
Leutritz T, Seif M, Helms G, Samson RS, Curt A, Freund P, Weiskopf N. Multiparameter mapping of relaxation (R1, R2*), proton density and magnetization transfer saturation at 3 T: A multicenter dual-vendor reproducibility and repeatability study. Hum Brain Mapp 2020; 41:4232-4247. [PMID: 32639104 PMCID: PMC7502832 DOI: 10.1002/hbm.25122] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/08/2020] [Accepted: 06/16/2020] [Indexed: 01/10/2023] Open
Abstract
Multicenter clinical and quantitative magnetic resonance imaging (qMRI) studies require a high degree of reproducibility across different sites and scanner manufacturers, as well as time points. We therefore implemented a multiparameter mapping (MPM) protocol based on vendor's product sequences and demonstrate its repeatability and reproducibility for whole‐brain coverage. Within ~20 min, four MPM metrics (magnetization transfer saturation [MT], proton density [PD], longitudinal [R1], and effective transverse [R2*] relaxation rates) were measured using an optimized 1 mm isotropic resolution protocol on six 3 T MRI scanners from two different vendors. The same five healthy participants underwent two scanning sessions, on the same scanner, at each site. MPM metrics were calculated using the hMRI‐toolbox. To account for different MT pulses used by each vendor, we linearly scaled the MT values to harmonize them across vendors. To determine longitudinal repeatability and inter‐site comparability, the intra‐site (i.e., scan‐rescan experiment) coefficient of variation (CoV), inter‐site CoV, and bias across sites were estimated. For MT, R1, and PD, the intra‐ and inter‐site CoV was between 4 and 10% across sites and scan time points for intracranial gray and white matter. A higher intra‐site CoV (16%) was observed in R2* maps. The inter‐site bias was below 5% for all parameters. In conclusion, the MPM protocol yielded reliable quantitative maps at high resolution with a short acquisition time. The high reproducibility of MPM metrics across sites and scan time points combined with its tissue microstructure sensitivity facilitates longitudinal multicenter imaging studies targeting microstructural changes, for example, as a quantitative MRI biomarker for interventional clinical trials.
Collapse
Affiliation(s)
- Tobias Leutritz
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Maryam Seif
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Gunther Helms
- Medical Radiation Physics, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Rebecca S Samson
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Armin Curt
- Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland
| | - Patrick Freund
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland.,Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK.,Department of Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
| |
Collapse
|
63
|
Reyngoudt H, Marty B, Caldas de Almeida Araújo E, Baudin PY, Le Louër J, Boisserie JM, Béhin A, Servais L, Gidaro T, Carlier PG. Relationship between markers of disease activity and progression in skeletal muscle of GNE myopathy patients using quantitative nuclear magnetic resonance imaging and 31P nuclear magnetic resonance spectroscopy. Quant Imaging Med Surg 2020; 10:1450-1464. [PMID: 32676364 DOI: 10.21037/qims-20-39] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Quantitative nuclear magnetic resonance imaging (NMRI) is an objective and precise outcome measure for evaluating disease progression in neuromuscular disorders. We aimed to investigate predictive 'disease activity' NMR indices, including water T2 and 31P NMR spectroscopy (NMRS), and its relation to NMR markers of 'disease progression', such as the changes in fat fraction (ΔFat%) and contractile cross-sectional area (ΔcCSA), in GNE myopathy (GNEM) patients. Methods NMR was performed on a 3T clinical scanner, at baseline and at a 1-year interval, in 10 GNEM patients and 29 age-matched controls. Dixon-based fat-water imaging and water T2 mapping were acquired in legs and thighs, and in the dominant forearm. 31P NMRS was performed at the level of quadriceps and hamstring. Water T2 and 31P NMRS indices were determined for all muscle groups and visits. Correlations were performed with 'disease progression' indices ΔFat%, ΔcCSA and the muscle fat transformation rate (Rmuscle_transf). Results In quadriceps, known to be relatively preserved in GNEM, water T2 at baseline was significantly higher compared to controls, and correlated strongly with the one-year evolution of Fat% and cCSA and Rmuscle_transf. Various 31P NMRS indices showed significant differences in quadriceps and hamstring compared to controls and correlations existed between these indices and ΔFat%, ΔcCSA and Rmuscle_transf. Conclusions This study demonstrates that disease activity indices such as water T2 and 31P NMRS may predict disease progression in skeletal muscles of GNEM patients, and suggests that these measures may be considered to be valuable surrogate endpoints in the assessment of GNEM disease progression.
Collapse
Affiliation(s)
- Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Ericky Caldas de Almeida Araújo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Pierre-Yves Baudin
- Consultants for Research in Imaging and Spectroscopy (C.R.I.S.), Tournai, Belgium
| | - Julien Le Louër
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Jean-Marc Boisserie
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Anthony Béhin
- Neuromuscular Reference Center, Institute of Myology, Pitié-Salpêtrière Hospital (AP-HP), Paris, France
| | - Laurent Servais
- Institute of Myology, Pitié-Salpêtrière Hospital (AP-HP), Paris, France.,I-Motion-Pediatric Clinical Trials Department, Trousseau Hospital (AP-HP), Paris, France.,Centre de référence des maladies Neuromusculaires, CHU, University of Liège, Liège, Belgium.,MDUK Oxford Neuromuscular Center, Department of Pediatrics, University of Oxford, Oxford, UK
| | - Teresa Gidaro
- Institute of Myology, Pitié-Salpêtrière Hospital (AP-HP), Paris, France.,I-Motion-Pediatric Clinical Trials Department, Trousseau Hospital (AP-HP), Paris, France
| | - Pierre G Carlier
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| |
Collapse
|
64
|
Elliott JM, Smith AC, Hoggarth MA, Albin SR, Weber KA, Haager M, Fundaun J, Wasielewski M, Courtney DM, Parrish TB. Muscle fat infiltration following whiplash: A computed tomography and magnetic resonance imaging comparison. PLoS One 2020; 15:e0234061. [PMID: 32484835 PMCID: PMC7266316 DOI: 10.1371/journal.pone.0234061] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 05/18/2020] [Indexed: 01/17/2023] Open
Abstract
Here we present a secondary analysis from a parent database of 97 acutely injured participants enrolled in a prospective inception cohort study of whiplash recovery after motor vehicle collision (MVC). The purpose was to investigate the deep and superficial neck extensor muscles with peri-traumatic computed tomography (CT) and longitudinal measures of magnetic resonance imaging (MRI) in participants with varying levels of whiplash-related disability. Thirty-six underwent standard care imaging of the cervical spine with CT at a level-1 trauma designated emergency department. All 36 participants were assessed with MRI of the cervical spine at <1-week, 2-weeks, 3-, and 12-months post-injury and classified into three groups using initial pain severity and percentage scores on the Neck Disability Index (recovered (NDI of 0–8%), mild (NDI of 10–28%), or severe (NDI ≥ 30%)) at 3-months post MVC. CT muscle attenuation values were significantly correlated to muscle fat infiltration (MFI) on MRI at one-week post MVC. There was no significant difference in muscle attenuation across groups at the time of enrollment. A trend of lower muscle attenuation in the deep compared to the superficial extensors was observed in the severe group. MFI values in the deep muscles on MRI were significantly higher in the severe group when compared to the mild group at 1-year post MVC. This study provides further evidence that the magnitude of 1) deep MFI appears unique to those at risk of and eventually transitioning to chronic WAD and that 2) pre- or peri-traumatic muscular health, determined by CT muscle attenuation, may be contribute to our understanding of long-term recovery.
Collapse
Affiliation(s)
- James M. Elliott
- Discipline of Physiotherapy, Faculty of Medicine and Health, The University of Sydney, & The Northern Sydney Local Health District, The Kolling Research Institute, St. Leonards, New South Wales, Australia
- Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
- * E-mail:
| | - Andrew C. Smith
- School of Physical Therapy, Regis University, Denver, CO, United States of America
| | - Mark A. Hoggarth
- Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, United States of America
| | - Stephanie R. Albin
- School of Physical Therapy, Regis University, Denver, CO, United States of America
| | - Ken A. Weber
- Department of Anesthesiology, Perioperative and Pain Medicine, Systems Neuroscience and Pain Lab, Stanford University, Palo Alto, California, United States of America
| | - Mat Haager
- School of Physical Therapy, Regis University, Denver, CO, United States of America
| | - Joel Fundaun
- Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Marie Wasielewski
- Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - D. Mark Courtney
- Department of Emergency Medicine Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Todd B. Parrish
- Department of Anesthesiology, Perioperative and Pain Medicine, Systems Neuroscience and Pain Lab, Stanford University, Palo Alto, California, United States of America
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States of America
| |
Collapse
|
65
|
Forbes SC, Arora H, Willcocks RJ, Triplett WT, Rooney WD, Barnard AM, Alabasi U, Wang DJ, Lott DJ, Senesac CR, Harrington AT, Finanger EL, Tennekoon GI, Brandsema J, Daniels MJ, Sweeney HL, Walter GA, Vandenborne K. Upper and Lower Extremities in Duchenne Muscular Dystrophy Evaluated with Quantitative MRI and Proton MR Spectroscopy in a Multicenter Cohort. Radiology 2020; 295:616-625. [PMID: 32286193 PMCID: PMC7263287 DOI: 10.1148/radiol.2020192210] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 02/05/2020] [Accepted: 02/13/2020] [Indexed: 12/18/2022]
Abstract
Background Upper extremity MRI and proton MR spectroscopy are increasingly considered to be outcome measures in Duchenne muscular dystrophy (DMD) clinical trials. Purpose To demonstrate the feasibility of acquiring upper extremity MRI and proton (1H) MR spectroscopy measures of T2 and fat fraction in a large, multicenter cohort (ImagingDMD) of ambulatory and nonambulatory individuals with DMD; compare upper and lower extremity muscles by using MRI and 1H MR spectroscopy; and correlate upper extremity MRI and 1H MR spectroscopy measures to function. Materials and Methods In this prospective cross-sectional study, MRI and 1H MR spectroscopy and functional assessment data were acquired from participants with DMD and unaffected control participants at three centers (from January 28, 2016, to April 24, 2018). T2 maps of the shoulder, upper arm, forearm, thigh, and calf were generated from a spin-echo sequence (repetition time msec/echo time msec, 3000/20-320). Fat fraction maps were generated from chemical shift-encoded imaging (eight echo times). Fat fraction and 1H2O T2 in the deltoid and biceps brachii were measured from single-voxel 1H MR spectroscopy (9000/11-243). Groups were compared by using Mann-Whitney test, and relationships between MRI and 1H MR spectroscopy and arm function were assessed by using Spearman correlation. Results This study evaluated 119 male participants with DMD (mean age, 12 years ± 3 [standard deviation]) and 38 unaffected male control participants (mean age, 12 years ± 3). Deltoid and biceps brachii muscles were different in participants with DMD versus control participants in all age groups by using quantitative T2 MRI (P < .001) and 1H MR spectroscopy fat fraction (P < .05). The deltoid, biceps brachii, and triceps brachii were affected to the same extent (P > .05) as the soleus and medial gastrocnemius. Negative correlations were observed between arm function and MRI (T2: range among muscles, ρ = -0.53 to -0.73 [P < .01]; fat fraction, ρ = -0.49 to -0.70 [P < .01]) and 1H MR spectroscopy fat fraction (ρ = -0.64 to -0.71; P < .01). Conclusion This multicenter study demonstrated early and progressive involvement of upper extremity muscles in Duchenne muscular dystrophy (DMD) and showed the feasibility of MRI and 1H MR spectroscopy to track disease progression over a wide range of ages in participants with DMD. © RSNA, 2020 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Sean C. Forbes
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Harneet Arora
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Rebecca J. Willcocks
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - William T. Triplett
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - William D. Rooney
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Alison M. Barnard
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Umar Alabasi
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Dah-Jyuu Wang
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Donovan J. Lott
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Claudia R. Senesac
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Ann T. Harrington
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Erika L. Finanger
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Gihan I. Tennekoon
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - John Brandsema
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Michael J. Daniels
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - H. Lee Sweeney
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Glenn A. Walter
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| | - Krista Vandenborne
- From the Department of Physical Therapy (S.C.F., H.A., R.J.W., W.T.T., A.M.B., U.A., D.J.L. C.R.S., K.V.), Department of Statistics (M.J.D.), Department of Pharmacology and Therapeutics (H.L.S.), and Department of Physiology and Functional Genomics (G.A.W.), University of Florida, Box 100154, UFHSC, Gainesville, FL 32610; Advanced Imaging Research Center, Oregon Health and Science University, Portland, Ore (W.D.R., E.L.F.); The Children’s Hospital of Philadelphia, Philadelphia, Pa (D.J.W., A.T.H., G.I.T., J.B.); and Department of Neurology, Shriners Hospital for Children, Portland, Ore (E.L.F.)
| |
Collapse
|
66
|
Randomized phase 2 trial and open-label extension of domagrozumab in Duchenne muscular dystrophy. Neuromuscul Disord 2020; 30:492-502. [PMID: 32522498 DOI: 10.1016/j.nmd.2020.05.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 04/30/2020] [Accepted: 05/06/2020] [Indexed: 01/01/2023]
Abstract
We report results from a phase 2, randomized, double-blind, 2-period trial (48 weeks each) of domagrozumab and its open-label extension in patients with Duchenne muscular dystrophy (DMD). Of 120 ambulatory boys (aged 6 to <16 years) with DMD, 80 were treated with multiple ascending doses (5, 20, and 40 mg/kg) of domagrozumab and 40 treated with placebo. The primary endpoints were safety and mean change in 4-stair climb (4SC) time at week 49. Secondary endpoints included other functional tests, pharmacokinetics, and pharmacodynamics. Mean (SD) age was 8.4 (1.7) and 9.3 (2.3) years in domagrozumab- and placebo-treated patients, respectively. Difference in mean (95% CI) change from baseline in 4SC at week 49 for domagrozumab vs placebo was 0.27 (-7.4 to 7.9) seconds (p = 0.94). There were no significant between-group differences in any secondary clinical endpoints. Most patients had ≥1 adverse event in the first 48 weeks; most were mild and not treatment-related. Median serum concentrations of domagrozumab increased with administered dose within each dose level. Non-significant increases in muscle volume were observed in domagrozumab- vs placebo-treated patients. Domagrozumab was generally safe and well tolerated in patients with DMD. Efficacy measures did not support a significant treatment effect. Clinicaltrials.gov identifiers: NCT02310763 and NCT02907619.
Collapse
|
67
|
Rooney WD, Berlow YA, Triplett WT, Forbes SC, Willcocks RJ, Wang DJ, Arpan I, Arora H, Senesac C, Lott DJ, Tennekoon G, Finkel R, Russman BS, Finanger EL, Chakraborty S, O'Brien E, Moloney B, Barnard A, Sweeney HL, Daniels MJ, Walter GA, Vandenborne K. Modeling disease trajectory in Duchenne muscular dystrophy. Neurology 2020; 94:e1622-e1633. [PMID: 32184340 DOI: 10.1212/wnl.0000000000009244] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 10/17/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To quantify disease progression in individuals with Duchenne muscular dystrophy (DMD) using magnetic resonance biomarkers of leg muscles. METHODS MRI and magnetic resonance spectroscopy (MRS) biomarkers were acquired from 104 participants with DMD and 51 healthy controls using a prospective observational study design with patients with DMD followed up yearly for up to 6 years. Fat fractions (FFs) in vastus lateralis and soleus muscles were determined with 1H MRS. MRI quantitative T2 (qT2) values were measured for 3 muscles of the upper leg and 5 muscles of the lower leg. Longitudinal changes in biomarkers were modeled with a cumulative distribution function using a nonlinear mixed-effects approach. RESULTS MRS FF and MRI qT2 increased with DMD disease duration, with the progression time constants differing markedly between individuals and across muscles. The average age at half-maximal muscle involvement (μ) occurred 4.8 years earlier in vastus lateralis than soleus, and these measures were strongly associated with loss-of-ambulation age. Corticosteroid treatment was found to delay μ by 2.5 years on average across muscles, although there were marked differences between muscles with more slowly progressing muscles showing larger delay. CONCLUSIONS MRS FF and MRI qT2 provide sensitive noninvasive measures of DMD progression. Modeling changes in these biomarkers across multiple muscles can be used to detect and monitor the therapeutic effects of corticosteroids on disease progression and to provide prognostic information on functional outcomes. This modeling approach provides a method to transform these MRI biomarkers into well-understood metrics, allowing concise summaries of DMD disease progression at individual and population levels. CLINICALTRIALSGOV IDENTIFIER NCT01484678.
Collapse
Affiliation(s)
- William D Rooney
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR.
| | - Yosef A Berlow
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - William T Triplett
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Sean C Forbes
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Rebecca J Willcocks
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Dah-Jyuu Wang
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Ishu Arpan
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Harneet Arora
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Claudia Senesac
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Donovan J Lott
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Gihan Tennekoon
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Richard Finkel
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Barry S Russman
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Erika L Finanger
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Saptarshi Chakraborty
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Elliott O'Brien
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Brendan Moloney
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Alison Barnard
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - H Lee Sweeney
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Michael J Daniels
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Glenn A Walter
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| | - Krista Vandenborne
- From the Advanced Imaging Research Center (W.D.R., Y.A.B., I.A., E.O., B.M.), Department of Neurology (W.D.R., I.A., B.S.R., E.L.F.), Department of Biomedical Engineering (W.D.R.), Department of Behavioral Neuroscience (W.D.R., Y.A.B.), and Department of Pediatrics (B.S.R., E.L.F.), Oregon Health & Science University, Portland; Departments of Physical Therapy (W.T.T., S.C.F., R.J.W., H.A., C.S., D.J.L., K.V.), Statistics (S.C., M.J.D.), Physiology and Functional Genomics (A.B., G.A.W.), and Pharmacology & Therapeutics (H.L.S.), University of Florida, Gainesville; Department of Radiology (D.-J.W.) and Division of Neurology (G.T.), Children's Hospital of Philadelphia, PA; Department of Pediatrics (R.F.), Nemours Children's Hospital, Orlando, FL; and Shriners Hospital (B.S.R., E.L.F.), Portland, OR
| |
Collapse
|
68
|
Barnard AM, Willcocks RJ, Triplett WT, Forbes SC, Daniels MJ, Chakraborty S, Lott DJ, Senesac CR, Finanger EL, Harrington AT, Tennekoon G, Arora H, Wang DJ, Sweeney HL, Rooney WD, Walter GA, Vandenborne K. MR biomarkers predict clinical function in Duchenne muscular dystrophy. Neurology 2020; 94:e897-e909. [PMID: 32024675 PMCID: PMC7238941 DOI: 10.1212/wnl.0000000000009012] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 08/29/2019] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To investigate the potential of lower extremity magnetic resonance (MR) biomarkers to serve as endpoints in clinical trials of therapeutics for Duchenne muscular dystrophy (DMD) by characterizing the longitudinal progression of MR biomarkers over 48 months and assessing their relationship to changes in ambulatory clinical function. METHODS One hundred sixty participants with DMD were enrolled in this longitudinal, natural history study and underwent MR data acquisition of the lower extremity muscles to determine muscle fat fraction (FF) and MRI T2 biomarkers of disease progression. In addition, 4 tests of ambulatory function were performed. Participants returned for follow-up data collection at 12, 24, 36, and 48 months. RESULTS Longitudinal analysis of the MR biomarkers revealed that vastus lateralis FF, vastus lateralis MRI T2, and biceps femoris long head MRI T2 biomarkers were the fastest progressing biomarkers over time in this primarily ambulatory cohort. Biomarker values tended to demonstrate a nonlinear, sigmoidal trajectory over time. The lower extremity biomarkers predicted functional performance 12 and 24 months later, and the magnitude of change in an MR biomarker over time was related to the magnitude of change in function. Vastus lateralis FF, soleus FF, vastus lateralis MRI T2, and biceps femoris long head MRI T2 were the strongest predictors of future loss of function, including loss of ambulation. CONCLUSIONS This study supports the strong relationship between lower extremity MR biomarkers and measures of clinical function, as well as the ability of MR biomarkers, particularly those from proximal muscles, to predict future ambulatory function and important clinical milestones. CLINICALTRIALSGOV IDENTIFIER NCT01484678.
Collapse
Affiliation(s)
- Alison M Barnard
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Rebecca J Willcocks
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - William T Triplett
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Sean C Forbes
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Michael J Daniels
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Saptarshi Chakraborty
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Donovan J Lott
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Claudia R Senesac
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Erika L Finanger
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Ann T Harrington
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Gihan Tennekoon
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Harneet Arora
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Dah-Jyuu Wang
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - H Lee Sweeney
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - William D Rooney
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Glenn A Walter
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA
| | - Krista Vandenborne
- From the Departments of Physical Therapy (A.M.B., R.J.W., W.T.T., S.C.F., D.J.L., C.R.S., H.A., K.V.), Statistics (M.J.D., S.C.), Pharmacology and Therapeutics (H.L.S.), and Physiology and Functional Genomics (G.A.W.), University of Florida, Gainesville; Departments of Pediatrics and Neurology (E.L.F., G.T., D.-J.W.) and Advanced Imaging Research Center (W.D.R.), Oregon Health & Science University, Portland; and Children's Hospital of Philadelphia (A.T.H.), PA.
| |
Collapse
|
69
|
Rutkove SB. Electrical impedance myography: MRI-like data without the need for MRI. Muscle Nerve 2020; 61:554-556. [PMID: 32052459 DOI: 10.1002/mus.26832] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 02/03/2020] [Accepted: 02/09/2020] [Indexed: 11/11/2022]
Affiliation(s)
- Seward B Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| |
Collapse
|
70
|
Maggi L, Moscatelli M, Frangiamore R, Mazzi F, Verri M, De Luca A, Pasanisi MB, Baranello G, Tramacere I, Chiapparini L, Bruzzone MG, Mantegazza R, Aquino D. Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy. Clin Neuroradiol 2020; 31:257-266. [PMID: 31974637 DOI: 10.1007/s00062-019-00875-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/30/2019] [Indexed: 12/16/2022]
Abstract
PURPOSE Aim of this study is to compare Quantitative Magnetic Resonance Imaging (qMRI) measures between Becker Muscular Dystrophy (BMD) and Healthy Subjects (HS) and to correlate these parameters with clinical scores. METHODS Ten BMD patients (mean age ±standard deviation: 38.7 ± 15.0 years) and ten age-matched HS, were investigated through magnetic resonance imaging (MRI) at thigh and calf levels, including: 1) a standard axial T1-weighted sequence; 2) a volumetric T2-weighted sequence; 3) a multiecho spin-echo sequence; 4) a 2-point Dixon sequence; 5) a Diffusion Tensor Imaging (DTI) sequence. RESULTS Mean Fat Fraction (FF), T2-relaxation time and Fractional Anisotropy (FA) DTI at thigh and calf levels were significantly higher in BMD patients than in HS (p-values < 0.01). FF at thigh and calf levels significantly correlated with North Star Ambulatory Assessment (NSAA) score (p-values < 0.01) and6 Minutes Walking Test (6MWT) (p-values < 0.01), whereas only calf muscle FF was significantly associated with time to get up from floor (p-value = 0.01). T2 significantly correlated with NSAA score (p-value < 0.01), 6MWT (p-value = 0.02) and time to get up from floor (p-value < 0.01) only at calf level. Among DTI values, only FA in thigh and calf muscles significantly correlated with NSAA score, 6MWT and 10-m walk (all p-values < 0.05); only FA in calf muscles significantly correlated with time to get up from floor (p = 0.01). CONCLUSIONS Muscle FF, T2-relaxometry and DTI, seem to be a promising biomarker to assess BMD disease severity, although further studies are needed to evaluate changes over the time.
Collapse
Affiliation(s)
- Lorenzo Maggi
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. .,Neurology IV-Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Via Celoria 11, 20133, Milan, Italy.
| | - Marco Moscatelli
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Rita Frangiamore
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Federica Mazzi
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Mattia Verri
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Alberto De Luca
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maria Barbara Pasanisi
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Giovanni Baranello
- Developmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Irene Tramacere
- Department of Research and Clinical Development, Scientific Directorate, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Luisa Chiapparini
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Maria Grazia Bruzzone
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Renato Mantegazza
- Neuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Domenico Aquino
- Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| |
Collapse
|
71
|
Hammers DW, Hart CC, Patsalos A, Matheny MK, Wright LA, Nagy L, Sweeney HL. Glucocorticoids counteract hypertrophic effects of myostatin inhibition in dystrophic muscle. JCI Insight 2020; 5:133276. [PMID: 31830002 DOI: 10.1172/jci.insight.133276] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 12/04/2019] [Indexed: 12/25/2022] Open
Abstract
Duchenne muscular dystrophy (DMD) is a devastating genetic muscle disease resulting in progressive muscle degeneration and wasting. Glucocorticoids, specifically prednisone/prednisolone and deflazacort, are commonly used by DMD patients. Emerging DMD therapeutics include those targeting the muscle-wasting factor, myostatin (Mstn). The aim of this study was to investigate how chronic glucocorticoid treatment impacts the efficacy of Mstn inhibition in the D2.mdx mouse model of DMD. We report that chronic treatment of dystrophic mice with prednisolone (Pred) causes significant muscle wasting, entailing both activation of the ubiquitin-proteasome degradation pathway and inhibition of muscle protein synthesis. Combining Pred with Mstn inhibition, using a modified Mstn propeptide (dnMstn), completely abrogates the muscle hypertrophic effects of Mstn inhibition independently of Mstn expression or SMAD3 activation. Transcriptomic analysis identified that combining Pred with dnMstn treatment affects gene expression profiles associated with inflammation, metabolism, and fibrosis. Additionally, we demonstrate that Pred-induced muscle atrophy is not prevented by Mstn ablation. Therefore, glucocorticoids interfere with potential muscle mass benefits associated with targeting Mstn, and the ramifications of glucocorticoid use should be a consideration during clinical trial design for DMD therapeutics. These results have significant implications for past and future Mstn inhibition trials in DMD.
Collapse
Affiliation(s)
- David W Hammers
- Department of Pharmacology and Therapeutics and.,Myology Institute, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Cora C Hart
- Department of Pharmacology and Therapeutics and.,Myology Institute, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Andreas Patsalos
- Department of Medicine and.,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Johns Hopkins All Children's Hospital, St. Petersburg, Florida, USA
| | - Michael K Matheny
- Department of Pharmacology and Therapeutics and.,Myology Institute, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Lillian A Wright
- Department of Pharmacology and Therapeutics and.,Myology Institute, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Laszlo Nagy
- Department of Medicine and.,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Johns Hopkins All Children's Hospital, St. Petersburg, Florida, USA
| | - H Lee Sweeney
- Department of Pharmacology and Therapeutics and.,Myology Institute, University of Florida College of Medicine, Gainesville, Florida, USA
| |
Collapse
|
72
|
Naarding KJ, Reyngoudt H, van Zwet EW, Hooijmans MT, Tian C, Rybalsky I, Shellenbarger KC, Le Louër J, Wong BL, Carlier PG, Kan HE, Niks EH. MRI vastus lateralis fat fraction predicts loss of ambulation in Duchenne muscular dystrophy. Neurology 2020; 94:e1386-e1394. [PMID: 31937624 PMCID: PMC7274919 DOI: 10.1212/wnl.0000000000008939] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 10/08/2019] [Indexed: 02/04/2023] Open
Abstract
Objective We studied the potential of quantitative MRI (qMRI) as a surrogate endpoint in Duchenne muscular dystrophy by assessing the additive predictive value of vastus lateralis (VL) fat fraction (FF) to age on loss of ambulation (LoA). Methods VL FFs were determined on longitudinal Dixon MRI scans from 2 natural history studies in Leiden University Medical Center (LUMC) and Cincinnati Children's Hospital Medical Center (CCHMC). CCHMC included ambulant patients, while LUMC included a mixed ambulant and nonambulant population. We fitted longitudinal VL FF values to a sigmoidal curve using a mixed model with random slope to predict individual trajectories. The additive value of VL FF over age to predict LoA was calculated from a Cox model, yielding a hazard ratio. Results Eighty-nine MRIs of 19 LUMC and 15 CCHMC patients were included. At similar age, 6-minute walking test distances were smaller and VL FFs were correspondingly higher in LUMC compared to CCHMC patients. Hazard ratio of a percent-point increase in VL FF for the time to LoA was 1.15 for LUMC (95% confidence interval [CI] 1.05–1.26; p = 0.003) and 0.96 for CCHMC (95% CI 0.84–1.10; p = 0.569). Conclusions The hazard ratio of 1.15 corresponds to a 4.11-fold increase of the instantaneous risk of LoA in patients with a 10% higher VL FF at any age. Although results should be confirmed in a larger cohort with prospective determination of the clinical endpoint, this added predictive value of VL FF to age on LoA supports the use of qMRI FF as an endpoint or stratification tool in clinical trials.
Collapse
Affiliation(s)
- Karin J Naarding
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH.
| | - Harmen Reyngoudt
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Erik W van Zwet
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Melissa T Hooijmans
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Cuixia Tian
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Irina Rybalsky
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Karen C Shellenbarger
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Julien Le Louër
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Brenda L Wong
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Pierre G Carlier
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Hermien E Kan
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| | - Erik H Niks
- From the Department of Neurology (K.J.N., E.H.N.), Department of Biostatistics (E.W.v.Z), and C.J. Gorter Center for High Field MRI (M.T.H., H.E.K.), Department of Radiology, Leiden University Medical Center, Zuid-Holland; Duchenne Center Netherlands (K.J.N., H.E.K., E.H.N.); AIM and CEA NMR Laboratory (H.R., J.L.L., P.G.C.), Neuromuscular Investigation Center, Institute of Myology, Paris, France; and Department of Neurology (C.T., I.R., K.C.S., B.L.W.), Cincinnati Children's Hospital Medical Center, OH
| |
Collapse
|
73
|
Strijkers GJ, Araujo EC, Azzabou N, Bendahan D, Blamire A, Burakiewicz J, Carlier PG, Damon B, Deligianni X, Froeling M, Heerschap A, Hollingsworth KG, Hooijmans MT, Karampinos DC, Loudos G, Madelin G, Marty B, Nagel AM, Nederveen AJ, Nelissen JL, Santini F, Scheidegger O, Schick F, Sinclair C, Sinkus R, de Sousa PL, Straub V, Walter G, Kan HE. Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI. J Neuromuscul Dis 2020; 6:1-30. [PMID: 30714967 PMCID: PMC6398566 DOI: 10.3233/jnd-180333] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Neuromuscular diseases are characterized by progressive muscle degeneration and muscle weakness resulting in functional disabilities. While each of these diseases is individually rare, they are common as a group, and a large majority lacks effective treatment with fully market approved drugs. Magnetic resonance imaging and spectroscopy techniques (MRI and MRS) are showing increasing promise as an outcome measure in clinical trials for these diseases. In 2013, the European Union funded the COST (co-operation in science and technology) action BM1304 called MYO-MRI (www.myo-mri.eu), with the overall aim to advance novel MRI and MRS techniques for both diagnosis and quantitative monitoring of neuromuscular diseases through sharing of expertise and data, joint development of protocols, opportunities for young researchers and creation of an online atlas of muscle MRI and MRS. In this report, the topics that were discussed in the framework of working group 3, which had the objective to: Explore new contrasts, new targets and new imaging techniques for NMD are described. The report is written by the scientists who attended the meetings and presented their data. An overview is given on the different contrasts that MRI can generate and their application, clinical needs and desired readouts, and emerging methods.
Collapse
Affiliation(s)
| | - Ericky C.A. Araujo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Noura Azzabou
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | | | - Andrew Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | - Jedrek Burakiewicz
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Pierre G. Carlier
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Bruce Damon
- Vanderbilt University Medical Center, Nashville, USA
| | - Xeni Deligianni
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | | | - Arend Heerschap
- Radboud University Medical Center, Nijmegen, the Netherlands
| | | | | | | | | | | | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Armin M. Nagel
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany & Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Francesco Santini
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Olivier Scheidegger
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Fritz Schick
- University of Tübingen, Section on Experimental Radiology, Tübingen, Germany
| | | | | | | | - Volker Straub
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | | | - Hermien E. Kan
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
74
|
Chrzanowski SM, Darras BT, Rutkove SB. The Value of Imaging and Composition-Based Biomarkers in Duchenne Muscular Dystrophy Clinical Trials. Neurotherapeutics 2020; 17:142-152. [PMID: 31879850 PMCID: PMC7007477 DOI: 10.1007/s13311-019-00825-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
As the drug development pipeline for Duchenne muscular dystrophy (DMD) rapidly advances, clinical trial outcomes need to be optimized. Effective assessment of disease burden, natural history progression, and response to therapy in clinical trials for Duchenne muscular dystrophy are critical factors for clinical trial success. By choosing optimal biomarkers to better assess therapeutic efficacy, study costs and sample size requirements can be reduced. Currently, functional measures continue to serve as the primary outcome for the majority of DMD clinical trials. Quantitative measures of muscle health, including magnetic resonance imaging and spectroscopy, electrical impedance myography, and ultrasound, sensitively identify diseased muscle, disease progression, and response to a therapeutic intervention. Furthermore, such non-invasive techniques have the potential to identify disease pathology prior to onset of clinical symptoms. Despite robust supportive evidence, non-invasive quantitative techniques are still not frequently utilized in clinical trials for Duchenne muscular dystrophy. Non-invasive quantitative techniques have demonstrated the ability to quantify disease progression and potential response to therapeutic intervention, and should be used as a supplement to current standard functional measures. Such methods have the potential to significantly accelerate the development and approval of therapies for DMD.
Collapse
Affiliation(s)
- Stephen M Chrzanowski
- Department of Medicine, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.
| | - Basil T Darras
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - Seward B Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| |
Collapse
|
75
|
Leitner ML, Kapur K, Darras BT, Yang M, Wong B, Dalle Pazze L, Florence J, Buck M, Freedman L, Bohorquez J, Rutkove S, Zaidman C. Electrical impedance myography for reducing sample size in Duchenne muscular dystrophy trials. Ann Clin Transl Neurol 2019; 7:4-14. [PMID: 31876124 PMCID: PMC6952321 DOI: 10.1002/acn3.50958] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 10/30/2019] [Accepted: 10/31/2019] [Indexed: 01/16/2023] Open
Abstract
Objective To evaluate the sensitivity of electrical impedance myography (EIM) to disease progression in both ambulatory and non‐ambulatory boys with DMD. Methods and Participants A non‐blinded, longitudinal cohort study of 29 ambulatory and 15 non‐ambulatory boys with DMD and age‐similar healthy boys. Subjects were followed for up to 1 year and assessed using the Myolex® mViewTM EIM system as part of a multicenter study. Results In the ambulatory group, EIM 100 kHz resistance values showed significant change compared to the healthy boys. For example, in lower extremity muscles, the average change in EIM 100 kHz resistance values over 12 months led to an estimated effect size of 1.58. Based on these results, 26 DMD patients/arm would be needed for a 12‐month clinical trial assuming a 50% treatment effect. In non‐ambulatory boys, EIM changes were greater in upper limb muscles. For example, biceps at 100kHz resistance gave an estimated effect size of 1.92 at 12 months. Based on these results, 18 non‐ambulatory DMD patients/arm would be needed for a 12‐month clinical trial assuming a 50% treatment effect. Longitudinal changes in the 100 kHz resistance values for the ambulatory boys correlated with the longitudinal changes in the timed supine‐to‐stand test. EIM was well‐tolerated throughout the study. Interpretation This study supports that EIM 100 kHz resistance is sensitive to DMD progression in both ambulatory and non‐ambulatory boys. Given the technology’s ease of use and broad age range of utility it should be employed as an exploratory endpoint in future clinical therapeutic trials in DMD. Trial Registration: Clincialtrials.gov registration #NCT02340923
Collapse
Affiliation(s)
| | - Kush Kapur
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | - Basil T Darras
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts
| | - Michele Yang
- Department of Neurology, Children's Hospital Colorado, Denver, Colorado
| | - Brenda Wong
- Department of Pediatrics, University of Massachusetts Medical School, Worcester, Massachusetts
| | | | - Julaine Florence
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri
| | | | | | | | | | - Craig Zaidman
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri
| |
Collapse
|
76
|
Detection of collagens by multispectral optoacoustic tomography as an imaging biomarker for Duchenne muscular dystrophy. Nat Med 2019; 25:1905-1915. [PMID: 31792454 DOI: 10.1038/s41591-019-0669-y] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 10/28/2019] [Indexed: 02/07/2023]
Abstract
Biomarkers for monitoring of disease progression and response to therapy are lacking for muscle diseases such as Duchenne muscular dystrophy. Noninvasive in vivo molecular imaging with multispectral optoacoustic tomography (MSOT) uses pulsed laser light to induce acoustic pressure waves, enabling the visualization of endogenous chromophores. Here we describe an application of MSOT, in which illumination in the near- and extended near-infrared ranges from 680-1,100 nm enables the visualization and quantification of collagen content. We first demonstrated the feasibility of this approach to noninvasive quantification of tissue fibrosis in longitudinal studies in a large-animal Duchenne muscular dystrophy model in pigs, and then applied this approach to pediatric patients. MSOT-derived collagen content measurements in skeletal muscle were highly correlated to the functional status of the patients and provided additional information on molecular features as compared to magnetic resonance imaging. This study highlights the potential of MSOT imaging as a noninvasive, age-independent biomarker for the implementation and monitoring of newly developed therapies in muscular diseases.
Collapse
|
77
|
Hu HH, Branca RT, Hernando D, Karampinos DC, Machann J, McKenzie CA, Wu HH, Yokoo T, Velan SS. Magnetic resonance imaging of obesity and metabolic disorders: Summary from the 2019 ISMRM Workshop. Magn Reson Med 2019; 83:1565-1576. [PMID: 31782551 DOI: 10.1002/mrm.28103] [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: 10/02/2019] [Revised: 11/04/2019] [Accepted: 11/11/2019] [Indexed: 02/06/2023]
Abstract
More than 100 attendees from Australia, Austria, Belgium, Canada, China, Germany, Hong Kong, Indonesia, Japan, Malaysia, the Netherlands, the Philippines, Republic of Korea, Singapore, Sweden, Switzerland, the United Kingdom, and the United States convened in Singapore for the 2019 ISMRM-sponsored workshop on MRI of Obesity and Metabolic Disorders. The scientific program brought together a multidisciplinary group of researchers, trainees, and clinicians and included sessions in diabetes and insulin resistance; an update on recent advances in water-fat MRI acquisition and reconstruction methods; with applications in skeletal muscle, bone marrow, and adipose tissue quantification; a summary of recent findings in brown adipose tissue; new developments in imaging fat in the fetus, placenta, and neonates; the utility of liver elastography in obesity studies; and the emerging role of radiomics in population-based "big data" studies. The workshop featured keynote presentations on nutrition, epidemiology, genetics, and exercise physiology. Forty-four proffered scientific abstracts were also presented, covering the topics of brown adipose tissue, quantitative liver analysis from multiparametric data, disease prevalence and population health, technical and methodological developments in data acquisition and reconstruction, newfound applications of machine learning and neural networks, standardization of proton density fat fraction measurements, and X-nuclei applications. The purpose of this article is to summarize the scientific highlights from the workshop and identify future directions of work.
Collapse
Affiliation(s)
- Houchun H Hu
- Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio
| | - Rosa Tamara Branca
- Department of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Diego Hernando
- Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin.,Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jürgen Machann
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany.,German Center for Diabetes Research, Tübingen, Germany.,Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Charles A McKenzie
- Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| | - Holden H Wu
- Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California
| | - Takeshi Yokoo
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Singapore BioImaging Consortium, Agency for Science Technology and Research, Singapore
| |
Collapse
|
78
|
MRI patterns of muscle involvement in type 2 and 3 spinal muscular atrophy patients. J Neurol 2019; 267:898-912. [DOI: 10.1007/s00415-019-09646-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 11/05/2019] [Accepted: 11/18/2019] [Indexed: 12/17/2022]
|
79
|
Nagy S, Hafner P, Schmidt S, Rubino-Nacht D, Schädelin S, Bieri O, Fischer D. Tamoxifen in Duchenne muscular dystrophy (TAMDMD): study protocol for a multicenter, randomized, placebo-controlled, double-blind phase 3 trial. Trials 2019; 20:637. [PMID: 31752977 PMCID: PMC6869203 DOI: 10.1186/s13063-019-3740-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 09/21/2019] [Indexed: 12/25/2022] Open
Abstract
Background Duchenne muscular dystrophy (DMD) is an inherited neuromuscular disorder of childhood with a devastating disease course. Several targeted gene therapies and molecular approaches have been or are currently being tested in clinical trials; however, a causative therapy is still not available and best supportive care is limited to oral glucocorticoids with numerous long-term side effects. Tamoxifen is a selective estrogen receptor regulator, and shows antioxidant actions and regulatory roles in the calcium homeostasis besides its antitumor activity. In a mouse model of DMD, oral tamoxifen significantly improved muscle strength and reduced muscle fatigue. This multicenter, randomized, double-blind, placebo-controlled phase III trial aims to demonstrate safety and efficacy of tamoxifen over placebo in pediatric patients with DMD. After completion of the double-blind phase, an open-label extension of the study will be offered to all participants. Methods/design At least 71 ambulant and up to 20 nonambulant patients with DMD are planned to be enrolled at multiple European sites. Patients will be randomly assigned to receive either tamoxifen 20 mg or placebo daily over 48 weeks. In the open-label extension phase, all patients will be offered tamoxifen for a further 48 weeks. The primary endpoint of the double-blind phase is defined as the change of the D1 domain of the motor function measure in ambulant patients or a change of the D2 domain in nonambulant patients under tamoxifen compared to placebo. Secondary outcome measures include change in timed function tests, quantitative muscle testing, and quantitative magnetic resonance imaging of thigh muscles. Laboratory analyses including biomarkers of tamoxifen metabolism and muscle dystrophy will also be assessed. Discussion The aim of the study is to investigate whether tamoxifen can reduce disease progression in ambulant and nonambulant patients with DMD over 48 weeks. Motor function measures comprise the primary endpoint, whereas further clinical and radiological assessments and laboratory biomarkers are performed to provide more data on safety and efficacy. An adjacent open-label extension phase is planned to test if earlier initiation of the treatment with tamoxifen (verum arm of double-blind phase) compared to a delayed start can reduce disease progression more efficiently. Trial registration ClinicalTrials.gov, NCT03354039. Registered on 27 November 2017.
Collapse
Affiliation(s)
- Sara Nagy
- Division of Developmental- and Neuropaediatrics, University Children's Hospital Basel (UKBB), University of Basel, Spitalstrasse 33, Postfach, 4031, Basel, Switzerland. .,Department of Neurology, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Patricia Hafner
- Division of Developmental- and Neuropaediatrics, University Children's Hospital Basel (UKBB), University of Basel, Spitalstrasse 33, Postfach, 4031, Basel, Switzerland
| | - Simone Schmidt
- Division of Developmental- and Neuropaediatrics, University Children's Hospital Basel (UKBB), University of Basel, Spitalstrasse 33, Postfach, 4031, Basel, Switzerland
| | - Daniela Rubino-Nacht
- Division of Developmental- and Neuropaediatrics, University Children's Hospital Basel (UKBB), University of Basel, Spitalstrasse 33, Postfach, 4031, Basel, Switzerland
| | - Sabine Schädelin
- Clinical Trial Unit, University of Basel, Schanzenstrasse 55, 4056, Basel, Switzerland
| | - Oliver Bieri
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Dirk Fischer
- Division of Developmental- and Neuropaediatrics, University Children's Hospital Basel (UKBB), University of Basel, Spitalstrasse 33, Postfach, 4031, Basel, Switzerland
| |
Collapse
|
80
|
Gidaro T, Reyngoudt H, Le Louër J, Behin A, Toumi F, Villeret M, Araujo ECA, Baudin PY, Marty B, Annoussamy M, Hogrel JY, Carlier PG, Servais L. Quantitative nuclear magnetic resonance imaging detects subclinical changes over 1 year in skeletal muscle of GNE myopathy. J Neurol 2019; 267:228-238. [PMID: 31616990 DOI: 10.1007/s00415-019-09569-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 10/06/2019] [Accepted: 10/09/2019] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND OBJECTIVE To identify the most responsive and sensitive clinical outcome measures in GNE myopathy. METHODS ClinBio-GNE is a natural history study in GNE myopathy. Patients were assessed prospectively by clinical, functional and quantitative nuclear magnetic resonance imaging (qNMRI) evaluations. Strength and functional tests included Myogrip, Myopinch, MoviPlate and Brooke assessments for upper limb and the 6-min walk distance for lower limb. qNMRI was performed for determining the degree of fatty infiltration and trophicity in leg, thigh, forearm and hand skeletal muscles. Ten GNE myopathy patients were included. Three patients were non-ambulant. Age and gender-matched healthy subjects were used as controls. RESULTS Fatty infiltration and contractile cross-sectional area changed inversely and significantly in lower distal limbs and in proximal lower and distal upper limbs over 1 year. qNMRI indices and functional assessment results were strongly correlated. CONCLUSIONS Even in a limited number of patients, qNMRI could detect a significant change over a 1-year period in GNE myopathy, which suggests that qNMRI could constitute a surrogate endpoint in this slowly progressive disease. Quantitative NMRI outcome measures can monitor intramuscular fat accumulation with high responsiveness. Longer follow-up should improve our understanding of GNE myopathy evolution and also lead to the identification of non-invasive outcome measures with the highest discriminant power for upcoming clinical trials.
Collapse
Affiliation(s)
- Teresa Gidaro
- I-Motion-Pediatric Clinical Trials Department, Hôpital Armand Trousseau, Bâtiment Lemariey-Porte 20 * 2ème étage, 26 Avenue du Dr Arnold Netter, 75012, Paris, France.
| | - Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Julien Le Louër
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Anthony Behin
- Neuromuscular Reference Center, Institute of Myology, Pitié-Salpêtrière Hospital (AP-HP), Paris, France
| | - Ferial Toumi
- I-Motion-Pediatric Clinical Trials Department, Hôpital Armand Trousseau, Bâtiment Lemariey-Porte 20 * 2ème étage, 26 Avenue du Dr Arnold Netter, 75012, Paris, France
| | - Melanie Villeret
- I-Motion-Pediatric Clinical Trials Department, Hôpital Armand Trousseau, Bâtiment Lemariey-Porte 20 * 2ème étage, 26 Avenue du Dr Arnold Netter, 75012, Paris, France
| | - Ericky C A Araujo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Pierre-Yves Baudin
- Consultants for Research in Imaging and Spectroscopy (C.R.I.S.), Tournai, Belgium
| | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Melanie Annoussamy
- I-Motion-Pediatric Clinical Trials Department, Hôpital Armand Trousseau, Bâtiment Lemariey-Porte 20 * 2ème étage, 26 Avenue du Dr Arnold Netter, 75012, Paris, France
| | - Jean-Yves Hogrel
- Neuromuscular Physiology Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Pierre G Carlier
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France
| | - Laurent Servais
- I-Motion-Pediatric Clinical Trials Department, Hôpital Armand Trousseau, Bâtiment Lemariey-Porte 20 * 2ème étage, 26 Avenue du Dr Arnold Netter, 75012, Paris, France.,Centre de référence Des Maladies Neuromusculaires, CHU de Liège, Liège, Belgium
| |
Collapse
|
81
|
Rutkove SB, Sanchez B. Electrical Impedance Methods in Neuromuscular Assessment: An Overview. Cold Spring Harb Perspect Med 2019; 9:cshperspect.a034405. [PMID: 30291145 DOI: 10.1101/cshperspect.a034405] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Electrical impedance methods have been used as evaluation tools in biological and medical science for well over 100 years. However, only recently have these techniques been applied specifically to the evaluation of conditions affecting nerve and muscle. This specific application, termed electrical impedance myography (EIM), is finding wide application as it can provide a quantitative index of muscle condition that can assist with diagnosis, track disease progression, and assess the beneficial impact of therapy. Using noninvasive surface methods, EIM has been studied in a number of conditions ranging from amyotrophic lateral sclerosis to muscular dystrophy to disuse atrophy. Data support that the technique is sensitive to disease status and can offer the possibility of performing clinical trials with fewer subjects than would otherwise be possible. Recent advances in the field include improved approaches for using EIM as a "virtual biopsy" and the development of combined needle impedance-electromyography technology.
Collapse
Affiliation(s)
- Seward B Rutkove
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215
| | - Benjamin Sanchez
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215
| |
Collapse
|
82
|
Nagy S, Schädelin S, Hafner P, Bonati U, Scherrer D, Ebi S, Schmidt S, Orsini AL, Bieri O, Fischer D. Longitudinal reliability of outcome measures in patients with Duchenne muscular dystrophy. Muscle Nerve 2019; 61:63-68. [PMID: 31469921 DOI: 10.1002/mus.26690] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 08/22/2019] [Accepted: 08/27/2019] [Indexed: 12/25/2022]
Abstract
INTRODUCTION The definition of reliable outcome measures is of increasing interest in patients with Duchenne muscular dystrophy (DMD). METHODS In this retrospective study, we analyzed the longitudinal reliability of clinical and radiological endpoints in 29 ambulant patients with DMD. Clinical outcome measures included motor function measure (MFM) and timed function tests, while quantitative MRI data were mean fat fraction (MFF) and T2 relaxation time of thigh muscles. Statistical analysis was based on 3-, 6-, and 12-month follow-up data. RESULTS Quantitative MRI using the MFF was the most sensitive and powerful marker of disease progression with a sample size of four at 1-year follow-up, followed by the D1 domain of MFM (standing and transfer function) with a sample size of 12. DISCUSSION Our data support the longitudinal design of clinical trials over at least 12 months and the combinational use of clinical and radiological surrogate outcome measures.
Collapse
Affiliation(s)
- Sara Nagy
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland.,Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Patricia Hafner
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland
| | - Ulrike Bonati
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland.,Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Delia Scherrer
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland
| | - Selina Ebi
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland
| | - Simone Schmidt
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland
| | - Anna-Lena Orsini
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland.,Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Oliver Bieri
- Department of Radiology, Division of Radiological Physics, University of Basel Hospital, University of Basel, Basel, Switzerland
| | - Dirk Fischer
- Division of Neuropaediatrics, University of Basel Children's Hospital, University of Basel, Basel, Switzerland
| |
Collapse
|
83
|
Schlaffke L, Rehmann R, Rohm M, Otto LAM, de Luca A, Burakiewicz J, Baligand C, Monte J, den Harder C, Hooijmans MT, Nederveen A, Schlaeger S, Weidlich D, Karampinos DC, Stouge A, Vaeggemose M, D'Angelo MG, Arrigoni F, Kan HE, Froeling M. Multi-center evaluation of stability and reproducibility of quantitative MRI measures in healthy calf muscles. NMR IN BIOMEDICINE 2019; 32:e4119. [PMID: 31313867 DOI: 10.1002/nbm.4119] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 04/17/2019] [Accepted: 04/23/2019] [Indexed: 05/18/2023]
Abstract
The purpose of this study was to evaluate temporal stability, multi-center reproducibility and the influence of covariates on a multimodal MR protocol for quantitative muscle imaging and to facilitate its use as a standardized protocol for evaluation of pathology in skeletal muscle. Quantitative T2, quantitative diffusion and four-point Dixon acquisitions of the calf muscles of both legs were repeated within one hour. Sixty-five healthy volunteers (31 females) were included in one of eight 3-T MR systems. Five traveling subjects were examined in six MR scanners. Average values over all slices of water-T2 relaxation time, proton density fat fraction (PDFF) and diffusion metrics were determined for seven muscles. Temporal stability was tested with repeated measured ANOVA and two-way random intraclass correlation coefficient (ICC). Multi-center reproducibility of traveling volunteers was assessed by a two-way mixed ICC. The factors age, body mass index, gender and muscle were tested for covariance. ICCs of temporal stability were between 0.963 and 0.999 for all parameters. Water-T2 relaxation decreased significantly (P < 10-3 ) within one hour by ~ 1 ms. Multi-center reproducibility showed ICCs within 0.879-0.917 with the lowest ICC for mean diffusivity. Different muscles showed the highest covariance, explaining 20-40% of variance for observed parameters. Standardized acquisition and processing of quantitative muscle MRI data resulted in high comparability among centers. The imaging protocol exhibited high temporal stability over one hour except for water T2 relaxation times. These results show that data pooling is feasible and enables assembling data from patients with neuromuscular diseases, paving the way towards larger studies of rare muscle disorders.
Collapse
Affiliation(s)
- Lara Schlaffke
- Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Neurology, BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany
- C.J., Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Robert Rehmann
- 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
| | - Louise A M Otto
- Brain Centre Rudolf Magnus, Department of Neurology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Alberto de Luca
- Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Jedrzej Burakiewicz
- C.J., Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Celine Baligand
- C.J., Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Jithsa Monte
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Chiel den Harder
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Melissa T Hooijmans
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Aart Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Sarah Schlaeger
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Anders Stouge
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | | | | | - Filippo Arrigoni
- Neuroimaging Lab, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Italy
| | - Hermien E Kan
- C.J., Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Martijn Froeling
- Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands
| |
Collapse
|
84
|
Eresen A, Hafsa NE, Alic L, Birch SM, Griffin JF, Kornegay JN, Ji JX. Muscle percentage index as a marker of disease severity in golden retriever muscular dystrophy. Muscle Nerve 2019; 60:621-628. [PMID: 31397906 DOI: 10.1002/mus.26657] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 08/05/2019] [Accepted: 08/06/2019] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Golden retriever muscular dystrophy (GRMD) is a spontaneous X-linked canine model of Duchenne muscular dystrophy that resembles the human condition. Muscle percentage index (MPI) is proposed as an imaging biomarker of disease severity in GRMD. METHODS To assess MPI, we used MRI data acquired from nine GRMD samples using a 4.7 T small-bore scanner. A machine learning approach was used with eight raw quantitative mapping of MRI data images (T1m, T2m, two Dixon maps, and four diffusion tensor imaging maps), three types of texture descriptors (local binary pattern, gray-level co-occurrence matrix, gray-level run-length matrix), and a gradient descriptor (histogram of oriented gradients). RESULTS The confusion matrix, averaged over all samples, showed 93.5% of muscle pixels classified correctly. The classification, optimized in a leave-one-out cross-validation, provided an average accuracy of 80% with a discrepancy in overestimation for young (8%) and old (20%) dogs. DISCUSSION MPI could be useful for quantifying GRMD severity, but careful interpretation is needed for severe cases.
Collapse
Affiliation(s)
- Aydin Eresen
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas
| | - Noor E Hafsa
- Department of Electrical and Computer Engineering, Texas A&M University, Doha, Qatar
| | - Lejla Alic
- Department of Electrical and Computer Engineering, Texas A&M University, Doha, Qatar.,Magnetic Detection & Imaging Group, Faculty of Science & Technology, University of Twente, Enschede, The Netherlands
| | - Sharla M Birch
- College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas
| | - John F Griffin
- College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas
| | - Joe N Kornegay
- College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas
| | - Jim X Ji
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas.,Department of Electrical and Computer Engineering, Texas A&M University, Doha, Qatar
| |
Collapse
|
85
|
Two-Year Longitudinal Changes in Lower Limb Strength and Its Relation to Loss in Function in a Large Cohort of Patients With Duchenne Muscular Dystrophy. Am J Phys Med Rehabil 2019; 97:734-740. [PMID: 29734234 DOI: 10.1097/phm.0000000000000957] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The main objective of this study was to examine the effect of disease on strength in two functionally important lower limb muscles for a period of 2 yrs in children with Duchene muscular dystrophy. DESIGN Seventy-seven Duchene muscular dystrophy children participated in this study. Plantar flexors, knee extensors, strength, and performance on timed tests (6-min walk, 4-stairs, 10-m walk, supine-up) were assessed yearly for 2 yrs. Multivariate normal regression was used to assess changes in strength over time in the Duchene muscular dystrophy group. Spearman correlations were computed to examine relationship between strength and function. RESULTS Normalized plantar flexor and knee extensor strength showed a significant decrease (P < 0.05) over 2 yrs, with larger declines in knee extensor. At baseline, knee extensor strongly correlated with performance on timed tests. However, plantar flexor strength was found to be a stronger predictor of loss in ambulatory function. Modest correlations (r = 0.19-0.34) were found between the decline in strength and functional performance over 2 yrs. CONCLUSIONS This study describes the loss of lower limb strength in a large cohort of Duchene muscular dystrophy children for 2 yrs. The findings support that lower limb strength alone cannot account for the decline in performance on functional tests, and the role of other contributing factors, such as compensatory strategies, should be considered.
Collapse
|
86
|
Murphy AP, Morrow J, Dahlqvist JR, Stojkovic T, Willis TA, Sinclair CDJ, Wastling S, Yousry T, Hanna MS, James MK, Mayhew A, Eagle M, Lee LE, Hogrel JY, Carlier PG, Thornton JS, Vissing J, Hollingsworth KG, Straub V. Natural history of limb girdle muscular dystrophy R9 over 6 years: searching for trial endpoints. Ann Clin Transl Neurol 2019; 6:1033-1045. [PMID: 31211167 PMCID: PMC6562036 DOI: 10.1002/acn3.774] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 03/08/2019] [Indexed: 01/21/2023] Open
Abstract
Objective Limb girdle muscular dystrophy type R9 (LGMD R9) is an autosomal recessive muscle disease for which there is currently no causative treatment. The development of putative therapies requires sensitive outcome measures for clinical trials in this slowly progressing condition. This study extends functional assessments and MRI muscle fat fraction measurements in an LGMD R9 cohort across 6 years. Methods Twenty‐three participants with LGMD R9, previously assessed over a 1‐year period, were re‐enrolled at 6 years. Standardized functional assessments were performed including: myometry, timed tests, and spirometry testing. Quantitative MRI was used to measure fat fraction in lower limb skeletal muscle groups. Results At 6 years, all 14 muscle groups assessed demonstrated significant increases in fat fraction, compared to eight groups in the 1‐year follow‐up study. In direct contrast to the 1‐year follow‐up, the 6‐min walk test, 10‐m walk or run, timed up and go, stair ascend, stair descend and chair rise demonstrated significant decline. Among the functional tests, only FVC significantly declined over both the 1‐ and 6‐year studies. Interpretation These results further support fat fraction measurements as a primary outcome measure alongside functional assessments. The most appropriate individual muscles are the vastus lateralis, gracilis, sartorius, and gastrocnemii. Using composite groups of lower leg muscles, thigh muscles, or triceps surae, yielded high standardized response means (SRMs). Over 6 years, quantitative fat fraction assessment demonstrated higher SRM values than seen in functional tests suggesting greater responsiveness to disease progression.
Collapse
Affiliation(s)
- Alexander P Murphy
- The John Walton Muscular Dystrophy Research Centre Institute of Genetic Medicine Newcastle University Newcastle Hospitals NHS Foundation Trust Central Parkway Newcastle Upon Tyne United Kingdom NE1 4EP
| | - Jasper Morrow
- Department of Molecular Neurosciences MRC Centre for Neuromuscular Diseases UCL Institute of Neurology London United Kingdom
| | - Julia R Dahlqvist
- Department of Neurology Copenhagen Neuromuscular Center Rigshospitalet University of Copenhagen Blegdamsvej 9 2100 Copenhagen Denmark
| | - Tanya Stojkovic
- Institute of Myology AP6HP, G-H Pitié-Salpêtrière 47-83 boulevard de l'hôpital 75651 Paris Cedex 13 France
| | - Tracey A Willis
- The Robert Jones and Agnes Hunt Orthopaedic Hospital Oswestry Shropshire United Kingdom
| | - Christopher D J Sinclair
- Department of Molecular Neurosciences MRC Centre for Neuromuscular Diseases UCL Institute of Neurology London United Kingdom
| | - Stephen Wastling
- Department of Molecular Neurosciences MRC Centre for Neuromuscular Diseases UCL Institute of Neurology London United Kingdom
| | - Tarek Yousry
- Department of Molecular Neurosciences MRC Centre for Neuromuscular Diseases UCL Institute of Neurology London United Kingdom
| | - Michael S Hanna
- Department of Molecular Neurosciences MRC Centre for Neuromuscular Diseases UCL Institute of Neurology London United Kingdom
| | - Meredith K James
- The John Walton Muscular Dystrophy Research Centre Institute of Genetic Medicine Newcastle University Newcastle Hospitals NHS Foundation Trust Central Parkway Newcastle Upon Tyne United Kingdom NE1 4EP
| | - Anna Mayhew
- The John Walton Muscular Dystrophy Research Centre Institute of Genetic Medicine Newcastle University Newcastle Hospitals NHS Foundation Trust Central Parkway Newcastle Upon Tyne United Kingdom NE1 4EP
| | - Michelle Eagle
- The John Walton Muscular Dystrophy Research Centre Institute of Genetic Medicine Newcastle University Newcastle Hospitals NHS Foundation Trust Central Parkway Newcastle Upon Tyne United Kingdom NE1 4EP
| | - Laurence E Lee
- Department of Molecular Neurosciences MRC Centre for Neuromuscular Diseases UCL Institute of Neurology London United Kingdom
| | - Jean-Yves Hogrel
- Institute of Myology Neuromuscular Investigation Center Pitié-Salpêtrière Hospital Paris France
| | - Pierre G Carlier
- Institute of Myology Neuromuscular Investigation Center Pitié-Salpêtrière Hospital Paris France
| | - John S Thornton
- Department of Molecular Neurosciences MRC Centre for Neuromuscular Diseases UCL Institute of Neurology London United Kingdom
| | - John Vissing
- Department of Neurology Copenhagen Neuromuscular Center Rigshospitalet University of Copenhagen Blegdamsvej 9 2100 Copenhagen Denmark
| | - Kieren G Hollingsworth
- Newcastle Magnetic Resonance Centre Institute of Cellular Medicine Newcastle University Newcastle upon Tyne United Kingdom
| | - Volker Straub
- The John Walton Muscular Dystrophy Research Centre Institute of Genetic Medicine Newcastle University Newcastle Hospitals NHS Foundation Trust Central Parkway Newcastle Upon Tyne United Kingdom NE1 4EP
| |
Collapse
|
87
|
Leung DG. Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy. Muscle Nerve 2019; 60:347-360. [PMID: 31026060 DOI: 10.1002/mus.26497] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2019] [Indexed: 12/26/2022]
Abstract
Recent years have seen steady progress in the identification of genetic muscle diseases as well as efforts to develop treatment for these diseases. Consequently, sensitive and objective new methods are required to identify and monitor muscle pathology. Magnetic resonance imaging offers multiple potential biomarkers of disease severity in the muscular dystrophies. This Review uses a pathology-based approach to examine the ways in which MRI and spectroscopy have been used to study muscular dystrophies. Methods that have been used to quantitate intramuscular fat, edema, fiber orientation, metabolism, fibrosis, and vascular perfusion are examined, and this Review describes how MRI can help diagnose these conditions and improve upon existing muscle biomarkers by detecting small increments of disease-related change. Important challenges in the implementation of imaging biomarkers, such as standardization of protocols and validating imaging measurements with respect to clinical outcomes, are also described.
Collapse
Affiliation(s)
- Doris G Leung
- Center for Genetic Muscle Disorders, Hugo W. Moser Research Institute at Kennedy Krieger Institute, 716 North Broadway, Room 411, Baltimore, Maryland, 21205.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
88
|
Lee-McMullen B, Chrzanowski SM, Vohra R, Forbes S, Vandenborne K, Edison AS, Walter GA. Age-dependent changes in metabolite profile and lipid saturation in dystrophic mice. NMR IN BIOMEDICINE 2019; 32:e4075. [PMID: 30848538 PMCID: PMC6777843 DOI: 10.1002/nbm.4075] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 11/20/2018] [Accepted: 12/30/2018] [Indexed: 06/09/2023]
Abstract
Duchenne Muscular Dystrophy (DMD) is a fatal X-linked genetic disorder. In DMD, the absence of the dystrophin protein causes decreased sarcolemmal integrity resulting in progressive replacement of muscle with fibrofatty tissue. The effects of lacking dystrophin on muscle and systemic metabolism are still unclear. Therefore, to determine the impact of the absence of dystrophin on metabolism, we investigated the metabolic and lipid profile at two different, well-defined stages of muscle damage and stabilization in mdx mice. We measured NMR-detectable metabolite and lipid profiles in the serum and muscles of mdx mice at 6 and 24 weeks of age. Metabolites were determined in muscle in vivo using 1 H MRI/MRS, in isolated muscles using 1 H-HR-MAS NMR, and in serum using high resolution 1 H/13 C NMR. Dystrophic mice were found to have a unique lipid saturation profile compared with control mice, revealing an age-related metabolic change. In the 6-week-old mdx mice, serum lipids were increased and the degree of lipid saturation changed between 6 and 24 weeks. The serum taurine-creatine ratio increased over the life span of mdx, but not in control mice. Furthermore, the saturation index of lipids increased in the serum but decreased in the tissue over time. Finally, we demonstrated associations between MRI-T2 , a strong indicator of inflammation/edema, with tissue and serum lipid profiles. These results indicate the complex temporal changes of metabolites in the tissue and serum during repetitive bouts of muscle damage and regeneration that occur in dystrophic muscle.
Collapse
Affiliation(s)
- Brittany Lee-McMullen
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, USA
- Department of Biochemistry and Molecular Biology, Southeast Center for Integrated Metabolomics, University of Florida, Gainesville, FL, USA
| | | | - Ravneet Vohra
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Forbes
- Department of Physical Therapy, University of Florida, Gainesville, FL, USA
| | - Krista Vandenborne
- Department of Physical Therapy, University of Florida, Gainesville, FL, USA
| | - Arthur S. Edison
- Department of Biochemistry and Molecular Biology, Southeast Center for Integrated Metabolomics, University of Florida, Gainesville, FL, USA
- Current address: Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA
| | - Glenn A. Walter
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, USA
- Department of Biochemistry and Molecular Biology, Southeast Center for Integrated Metabolomics, University of Florida, Gainesville, FL, USA
| |
Collapse
|
89
|
Batra A, Vohra RS, Chrzanowski SM, Hammers DW, Lott DJ, Vandenborne K, Walter GA, Forbes SC. Effects of PDE5 inhibition on dystrophic muscle following an acute bout of downhill running and endurance training. J Appl Physiol (1985) 2019; 126:1737-1745. [PMID: 30946638 DOI: 10.1152/japplphysiol.00664.2018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Lack of sarcolemma-localized neuronal nitric oxide synthase mu (nNOSμ) contributes to muscle damage and fatigue in dystrophic muscle. In this study, we examined the effects of compensating for lack of nNOSμ with a phosphodiesterase type 5 (PDE5) inhibitor in mdx mice following downhill running and endurance training. Dystrophic mice (mdx) were treated with sildenafil citrate and compared with untreated mdx and wild-type mice after an acute bout of downhill running and during a progressive low-intensity treadmill running program (5 days/wk, 4 wk). Magnetic resonance imaging (MRI) and spectroscopy (MRS) transverse relaxation time constant (T2) of hindlimb and forelimb muscles were measured as a marker of muscle damage after downhill running and throughout training. The MRI blood oxygenation level dependence (BOLD) response and 31phosphorus MRS (31P-MRS) data were acquired after stimulated muscle contractions. After downhill running, the increase in T2 was attenuated (P < 0.05) in treated mdx and wild-type mice compared with untreated mdx. During training, resting T2 values did not change in wild-type and mdx mice from baseline values; however, the running distance completed during training was greater (P < 0.05) in treated mdx (>90% of target distance) and wild-type (100%) than untreated mdx (60%). The post-contractile BOLD response was greater (P < 0.05) in treated mdx that trained than untreated mdx, with no differences in muscle oxidative capacity, as measured by 31P-MRS. Our findings indicate that PDE5 inhibition reduces muscle damage after a single bout of downhill running and improves performance during endurance training in dystrophic mice, possibly because of enhanced microvascular function. NEW & NOTEWORTHY This study examined the combined effects of PDE5 inhibition and exercise in dystrophic muscle using high-resolution magnetic resonance imaging and spectroscopy. Our findings demonstrated that sildenafil citrate reduces muscle damage after a single bout of downhill running, improves endurance-training performance, and enhances microvascular function in dystrophic muscle. Collectively, the results support the combination of exercise and PDE5 inhibition as a therapeutic approach in muscular dystrophies lacking nNOSμ.
Collapse
Affiliation(s)
- Abhinandan Batra
- Department of Physical Therapy, University of Florida , Gainesville, Florida
| | - Ravneet S Vohra
- Department of Physical Therapy, University of Florida , Gainesville, Florida
| | - Steve M Chrzanowski
- Department of Physiology and Therapeutics, University of Florida , Gainesville, Florida
| | - David W Hammers
- Department of Pharmacology and Functional Genomics, University of Florida, Gainesville, Florida
| | - Donovan J Lott
- Department of Physical Therapy, University of Florida , Gainesville, Florida
| | - Krista Vandenborne
- Department of Physical Therapy, University of Florida , Gainesville, Florida
| | - Glenn A Walter
- Department of Physiology and Therapeutics, University of Florida , Gainesville, Florida
| | - Sean C Forbes
- Department of Physical Therapy, University of Florida , Gainesville, Florida
| |
Collapse
|
90
|
Roy B, Darras BT, Zaidman CM, Wu JS, Kapur K, Rutkove SB. Exploring the relationship between electrical impedance myography and quantitative ultrasound parameters in Duchenne muscular dystrophy. Clin Neurophysiol 2019; 130:515-520. [PMID: 30772764 DOI: 10.1016/j.clinph.2019.01.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 12/10/2018] [Accepted: 01/13/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Quantitative ultrasound (QUS), including grayscale level analysis (GLA) and quantitative backscatter analysis (QBA), and electrical impedance myography (EIM) have been proposed as biomarkers in Duchenne muscular dystrophy (DMD). However, the relationship between these methods has not been assessed. METHODS QUS values (including GLA and QBA) and several EIM measures were recorded from six muscles in 36 DMD and 29 healthy boys between ages 5 and 13 years at baseline, 6-months, and 12-months. RESULTS In the DMD boys, a moderate correlation was noted between QUS and EIM parameters, with the strongest correlations being identified for averaged muscle values. Of the individual muscles, biceps brachii and deltoid showed the strongest correlations. For example, in biceps, the QBA/EIM correlation coefficient (Spearman rho) was ≥0.70 (p < 0.01). Importantly, changes in QUS values over 12 months also correlated moderately with changes in EIM parameters and EIM/QBA rho values mostly varied between -0.53 and -0.70 (p ≤ 0.02). No significant correlations were identified in the healthy boys. CONCLUSIONS A moderate correlation of QUS with EIM in DMD boys suggests that the two technologies provide related data but are sensitive to different pathological features of muscle. SIGNIFICANCE The use of both technologies jointly in assessing DMD progression and response to therapy should be considered.
Collapse
Affiliation(s)
- Bhaskar Roy
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | | | - Jim S Wu
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Kush Kapur
- Boston Children's Hospital, Boston, MA, USA
| | | |
Collapse
|
91
|
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: 4.4] [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.
Collapse
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
| |
Collapse
|
92
|
Gerhalter T, Gast LV, Marty B, Martin J, Trollmann R, Schüssler S, Roemer F, Laun FB, Uder M, Schröder R, Carlier PG, Nagel AM. 23 Na MRI depicts early changes in ion homeostasis in skeletal muscle tissue of patients with duchenne muscular dystrophy. J Magn Reson Imaging 2019; 50:1103-1113. [PMID: 30719784 DOI: 10.1002/jmri.26681] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 01/24/2019] [Accepted: 01/24/2019] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Duchenne muscular dystrophy (DMD) is a hereditary neuromuscular disease leading to progressive muscle wasting. Since there is a need for MRI variables that serve as early sensitive indicators of response to treatment, several quantitative MRI methods have been suggested for disease monitoring. PURPOSE To evaluate the potential of sodium (23 Na) and proton (1 H) MRI methods to assess early pathological changes in skeletal muscle of DMD. STUDY TYPE Prospective clinical study. POPULATION 23 Na and 1 H MRI of the right leg were performed in 13 patients with DMD (age 7.8 ± 2.4) and 14 healthy boys (age 9.5 ± 2.2). FIELD STRENGTH/SEQUENCE 3 T including a multiecho-spin-echo sequence, diffusion-weighted sequences, 1 H spectroscopy, 3-pt Dixon, and 23 Na ultrashort echo time sequences. ASSESSMENT We obtained water T2 maps, fat fraction (FF), pH, and diffusion properties of the skeletal muscle tissue. Moreover, total tissue sodium concentration (TSC) was calculated from the 23 Na sequence. Intracellular-weighted 23 Na signal (ICwS) was derived from 23 Na inversion-recovery imaging. STATISTICAL TESTS Results from DMD patients and controls were compared using Wilcoxon rank-sum tests and repeated analysis of variance (ANOVA). Spearman-rank correlations and area under the curve (AUC) were calculated to assess the performance of the different MRI methods to distinguish dystrophic from healthy muscle tissue. RESULTS FF, water T2 , and pH were higher in DMD patients (0.07 ± 0.03, 39.4 ± 0.8 msec, 7.06 ± 0.03, all P < 0.05) than in controls (0.02 ± 0.01, 36.0 ± 0.4 msec, 7.03 ± 0.02). No difference was observed in diffusion properties. TSC (26.0 ± 1.3 mM, P < 0.05) and ICwS (0.69 ± 0.05 a.u., P < 0.05) were elevated in DMD (controls: 16.5 ± 1.3 mM and 0.47 ± 0.04 a.u.). The ICwS was frequently abnormal in DMD even when water T2 , FF, and pH were in the normal range. 23 Na MRI showed higher AUC values in comparison to the 1 H methods. DATA CONCLUSION Sodium anomalies were regularly observed in patients with DMD compared with controls, and were present even in absence of fatty degenerative changes and water T2 increases. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1103-1113.
Collapse
Affiliation(s)
- Teresa Gerhalter
- NMR Laboratory, Institute of Myology, Paris, France.,NMR laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France.,Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Lena V Gast
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Benjamin Marty
- NMR Laboratory, Institute of Myology, Paris, France.,NMR laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Jan Martin
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Regina Trollmann
- Department of Pediatrics, Division Neuropediatrics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Stephanie Schüssler
- Department of Pediatrics, Division Neuropediatrics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Frank Roemer
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Frederik B Laun
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Michael Uder
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Rolf Schröder
- Department of Neuropathology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Pierre G Carlier
- NMR Laboratory, Institute of Myology, Paris, France.,NMR laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Armin M Nagel
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.,Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Institute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| |
Collapse
|
93
|
Eresen A, Alic L, Birch SM, Friedeck W, Griffin JF, Kornegay JN, Ji JX. Texture as an imaging biomarker for disease severity in golden retriever muscular dystrophy. Muscle Nerve 2019; 59:380-386. [PMID: 30461036 DOI: 10.1002/mus.26386] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 11/11/2018] [Accepted: 11/16/2018] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Golden retriever muscular dystrophy (GRMD), an X-linked recessive disorder, causes similar phenotypic features to Duchenne muscular dystrophy (DMD). There is currently a need for a quantitative and reproducible monitoring of disease progression for GRMD and DMD. METHODS To assess severity in the GRMD, we analyzed texture features extracted from multi-parametric MRI (T1w, T2w, T1m, T2m, and Dixon images) using 5 feature extraction methods and classified using support vector machines. RESULTS A single feature from qualitative images can provide 89% maximal accuracy. Furthermore, 2 features from T1w, T2m, or Dixon images provided highest accuracy. When considering a tradeoff between scan-time and computational complexity, T2m images provided good accuracy at a lower acquisition and processing time and effort. CONCLUSIONS The combination of MRI texture features improved the classification accuracy for assessment of disease progression in GRMD with evaluation of the heterogenous nature of skeletal muscles as reflection of the histopathological changes. Muscle Nerve 59:380-386, 2019.
Collapse
Affiliation(s)
- Aydin Eresen
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA
| | - Lejla Alic
- Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar
| | - Sharla M Birch
- College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Wade Friedeck
- College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - John F Griffin
- College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Joe N Kornegay
- College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Jim X Ji
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA.,Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar
| |
Collapse
|
94
|
Kuraoka M, Nitahara-Kasahara Y, Tachimori H, Kato N, Shibasaki H, Shin A, Aoki Y, Kimura E, Takeda S. Accelerometric outcomes of motor function related to clinical evaluations and muscle involvement in dystrophic dogs. PLoS One 2018; 13:e0208415. [PMID: 30533017 PMCID: PMC6289438 DOI: 10.1371/journal.pone.0208415] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 11/16/2018] [Indexed: 12/25/2022] Open
Abstract
Duchenne muscular dystrophy (DMD) is an X-linked muscle disorder characterized by primary muscle degeneration. Patients with DMD reveal progressive muscle weakness leading to ambulatory dysfunction. Novel outcome measures are needed for more sensitive evaluation of therapeutic effects in clinical trials. Multiple parameters of acceleration and angular velocity are used as efficient indicators to quantify the motion of subjects, and these parameters have been recently applied for evaluation of motor function in DMD. In the present study, we evaluated gait in a dystrophic dog model, CXMDJ, by measuring three-axial acceleration and angular velocity over the course of months. Hybrid sensors were placed on the dorsal thoracic and lumbar regions of dogs to detect a wide range of acceleration (±8 G) and angular velocity (±1000 degrees per second). Multiple parameters showed lower values in dystrophic dogs compared to wild-type (WT) dogs, and declined over the course of months. Acceleration magnitude (AM) at the thoracic region in dystrophic dogs was prominently lower compared with WT dogs, even at the age of 2 months, the onset of muscle weakness, whereas AM at the lumbar region drastically declined throughout the disease course. The angular velocity index in the vertical direction in the lumbar region increased in dystrophic dogs, suggesting waddling at the girdle. These parameters also accordingly decreased with exacerbation of clinical manifestations and a decrease in spontaneous locomotor activity. The AM of dystrophic dogs was analyzed with magnetic resonance imaging to look for a correlation with crus muscle involvement. Results showed that acceleration and angular velocity are multifaceted kinematic indices that can be applied to assess outcomes in clinical trials for hereditary neuromuscular disorders including DMD.
Collapse
Affiliation(s)
- Mutsuki Kuraoka
- Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
- Laboratory of Experimental Animal Science, Nippon Veterinary and Life Science University, Musashino, Tokyo, Japan
| | - Yuko Nitahara-Kasahara
- Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
- Department of Biochemistry and Molecular Biology, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Hisateru Tachimori
- Department of Clinical Epidemiology, Translational Medical Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Naohiro Kato
- Research Center for Medical and Health Data Science, The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan
| | - Hiroyuki Shibasaki
- Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
- Department of Gene Regulation, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda, Chiba, Japan
| | - Akihiko Shin
- School of Medicine, Shinshu University, Matsumoto, Nagano, Japan
| | - Yoshitsugu Aoki
- Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - En Kimura
- Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
- Translational Medical Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Shin’ichi Takeda
- Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| |
Collapse
|
95
|
GóMez-Andrés D, Díaz-Manera J, Alejaldre A, Pulido-Valdeolivas I, GonzáLez-Mera L, Olivé M, Vilchez JJ, De Munain AL, Paradas C, Muelas N, SáNchez-MontáÑez Á, Alonso-Jimenez A, De la Banda MGG, Dabaj I, Bonne G, Munell F, Carlier RY, Quijano-Roy S. Muscle imaging in laminopathies: Synthesis study identifies meaningful muscles for follow-up. Muscle Nerve 2018; 58:812-817. [PMID: 30066418 DOI: 10.1002/mus.26312] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 07/22/2018] [Accepted: 07/24/2018] [Indexed: 01/13/2023]
Abstract
INTRODUCTION Particular fibroadipose infiltration patterns have been recently described by muscle imaging in congenital and later onset forms of LMNA-related muscular dystrophies (LMNA-RD). METHODS Scores for fibroadipose infiltration of 23 lower limb muscles in 34 patients with LMNA-RD were collected from heat maps of 2 previous studies. Scoring systems were homogenized. Relationships between muscle infiltration and disease duration and age of onset were modeled with random forests. RESULTS The pattern of infiltration differs according to disease duration but not to age of disease onset. The muscles whose progression best predicts disease duration were semitendinosus, biceps femoris long head, gluteus medius, and semimembranosus. DISCUSSION In LMNA-RD, our synthetic analysis of lower limb muscle infiltration did not find major differences between forms with different ages of onset but allowed the identification of muscles with characteristic infiltration during disease progression. Monitoring of these specific muscles by quantitative MRI may provide useful imaging biomarkers in LMNA-RD. Muscle Nerve 58:812-817, 2018.
Collapse
Affiliation(s)
- David GóMez-Andrés
- Neuromuscular Disorders Group, Child Neurology Unit, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Jordi Díaz-Manera
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, CIBERER, Barcelona, Spain
| | - Aida Alejaldre
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, CIBERER, Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Center of Neuroimmunology, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Hospital Clínic, Barcelona, Spain
| | - Laura GonzáLez-Mera
- Department of Neurology, Hospital de Viladecans, Barcelona, Spain.,Institute of Neuropathology, Department of Pathology and Neuromuscular Unit, Department of Neurology, IDIBELL-Hospital de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Montse Olivé
- Institute of Neuropathology, Department of Pathology and Neuromuscular Unit, Department of Neurology, IDIBELL-Hospital de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Juan José Vilchez
- Department of Neurology, Hospital Universitario Donostia, Neuroscience Area, Biodonostia Institute, CIBERER, Donostia-San Sebastián, Spain
| | - Adolfo LóPez De Munain
- Department of Neurology, Hospital Universitario Donostia, Neuroscience Area, Biodonostia Institute, CIBERER, Donostia-San Sebastián, Spain.,Neurosciences Area, Biodonostia Institute, CIBERNED, Donostia-San Sebastián, Spain
| | - Carmen Paradas
- Neuromuscular Disorders Unit, Department of Neurology and Neurophysiology, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Nuria Muelas
- Department of Neurology, Hospital Universitario Donostia, Neuroscience Area, Biodonostia Institute, CIBERER, Donostia-San Sebastián, Spain
| | | | - Alicia Alonso-Jimenez
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, CIBERER, Barcelona, Spain
| | - Marta Gómez García De la Banda
- APHP, Neuromuscular Disorders Unit, Pediatric Department, CHU Paris IdF Ouest - Hôpital Raymond Poincaré, Garches, France
| | - Ivana Dabaj
- APHP, Neuromuscular Disorders Unit, Pediatric Department, CHU Paris IdF Ouest - Hôpital Raymond Poincaré, Garches, France
| | - Gisèle Bonne
- Sorbonne Université, INSERM UMRS974, Center for Research in Myology, Institut de Myologie, G. H. Pitié Salpêtrière, Paris, France
| | - Francina Munell
- Neuromuscular Disorders Group, Child Neurology Unit, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Robert Y Carlier
- APHP, Radiology Department, CHU Paris IdF Ouest - Hôpital Raymond Poincaré. Paris Saclay Universities, UVSQ University of Versailles, UMR 1179 INSERM Garches, France
| | - Susana Quijano-Roy
- APHP, Neuromuscular Disorders Unit, Pediatric Department, CHU Paris IdF Ouest - Hôpital Raymond Poincaré, Paris Saclay Universities, UVSQ University of Versailles, UMR 1179 INSERM, Garches, France
| |
Collapse
|
96
|
Leigh F, Ferlini A, Biggar D, Bushby K, Finkel R, Morgenroth LP, Wagner KR. Neurology Care, Diagnostics, and Emerging Therapies of the Patient With Duchenne Muscular Dystrophy. Pediatrics 2018; 142:S5-S16. [PMID: 30275245 DOI: 10.1542/peds.2018-0333c] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/26/2018] [Indexed: 11/24/2022] Open
Abstract
Duchenne muscular dystrophy is the most common form of childhood muscular dystrophy. A mutation in the DMD gene disrupts dystrophin (protein) production, causing damage to muscle integrity, weakness, loss of ambulation, and cardiopulmonary compromise by the second decade of life. Life expectancy has improved from mid-teenage years to mid-20s with the use of glucocorticoids and beyond the third decade with ventilator support and multidisciplinary care. However, Duchenne muscular dystrophy is associated with comorbidities and is a fatal disease. Glucocorticoids prolong ambulation, but their side effects are significant. Emerging investigational therapies have surfaced over the past decade and have rapidly been tested in clinical trials. Gene-specific strategies include nonsense readthrough, exon skipping, gene editing, utrophin modulation, and gene replacement. Other mechanisms include muscle regeneration, antioxidants, and antifibrosis and anti-inflammatory pathways. With potential therapies emerging, early diagnosis is needed to initiate treatment early enough to minimize morbidity and mortality. Newborn screening can be used to significantly improve early diagnosis, especially for gene-specific therapeutics.
Collapse
Affiliation(s)
- Fawn Leigh
- Massachusetts General Hospital and Harvard Medical School, Harvard University, Cambridge, Massachusetts; .,Seattle Children's Hospital, University of Washington, Seattle, Washington
| | | | - Doug Biggar
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Katharine Bushby
- John Walton Centre for Muscular Dystrophy Research, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
| | | | | | - Kathryn R Wagner
- Kennedy Krieger Institute, Baltimore, Maryland; and.,School of Medicine, Johns Hopkins University, Baltimore, Maryland
| |
Collapse
|
97
|
Figueroa-Bonaparte S, Llauger J, Segovia S, Belmonte I, Pedrosa I, Montiel E, Montesinos P, Sánchez-González J, Alonso-Jiménez A, Gallardo E, Illa I, Díaz-Manera J. Quantitative muscle MRI to follow up late onset Pompe patients: a prospective study. Sci Rep 2018; 8:10898. [PMID: 30022036 PMCID: PMC6052002 DOI: 10.1038/s41598-018-29170-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 07/03/2018] [Indexed: 12/13/2022] Open
Abstract
Late onset Pompe disease (LOPD) is a slow, progressive disorder characterized by skeletal and respiratory muscle weakness. Enzyme replacement therapy (ERT) slows down the progression of muscle symptoms. Reliable biomarkers are needed to follow up ERT-treated and asymptomatic LOPD patients in clinical practice. In this study, 32 LOPD patients (22 symptomatic and 10 asymptomatic) underwent muscle MRI using 3-point Dixon and were evaluated at the time of the MRI with several motor function tests and patient-reported outcome measures, and again after one year. Muscle MRI showed a significant increase of 1.7% in the fat content of the thigh muscles in symptomatic LOPD patients. In contrast, there were no noteworthy differences between muscle function tests in the same period of time. We did not observe any significant changes either in muscle MRI or in muscle function tests in asymptomatic patients over the year. We conclude that 3-point Dixon muscle MRI is a useful tool for detecting changes in muscle structure in symptomatic LOPD patients and could become part of the current follow-up protocol in daily clinics.
Collapse
Affiliation(s)
- Sebastian Figueroa-Bonaparte
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Llauger
- Radiology department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sonia Segovia
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain
| | - Izaskun Belmonte
- Rehabilitation and physiotherapy department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Irene Pedrosa
- Rehabilitation and physiotherapy department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Elena Montiel
- Rehabilitation and physiotherapy department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | | | - Alicia Alonso-Jiménez
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Eduard Gallardo
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain
| | - Isabel Illa
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain
| | | | - Jordi Díaz-Manera
- Neuromuscular Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain. .,Centro de Investigación en Red en Enfermedades Raras (CIBERER), Madrid, Spain.
| |
Collapse
|
98
|
Eresen A, Alic L, Kornegay J, Ji JX. Assessment of disease severity in a Canine Model of Duchenne Muscular Dystrophy: Classification of Quantitative MRI. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2018:648-651. [PMID: 30440480 DOI: 10.1109/embc.2018.8512303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Duchenne muscular dystrophy (DMD) is a fatal Xlinked muscle disorder caused by mutations in the dystrophin gene with a consequence of progressive degeneration of skeletal and cardiac muscle. Golden retriever muscular dystrophy (GRMD) is a spontaneous X-linked canine model of DMD with similar effects. Due to high soft-tissue contrast images, MRI is preferred as a non-invasive method to extract information corresponding to biological characteristics. We propose and evaluate non-invasive MRI-based imaging biomarkers to assess the severity of golden retriever muscular dystrophy (GRMD) using 3T and 4.7T MRI data of nine animals. These imaging biomarkers use first order statistics and texture (assessed by wavelets) in quantitative MRI (qMRI). In a leave-one-sampleout cross-validation framework, we use SVM to differentiate between young and old GRMD animals. The preliminary results show good differentiation between young and old animals for different qMRI sequences and based on a different selection of features.
Collapse
|
99
|
Abstract
Duchenne muscular dystrophy (DMD) is the most common form of muscular dystrophy in childhood. Mutations of the DMD gene destabilize the dystrophin associated glycoprotein complex in the sarcolemma. Ongoing mechanical stress leads to unregulated influx of calcium ions into the sarcoplasm, with activation of proteases, release of proinflammatory cytokines, and mitochondrial dysfunction. Cumulative damage and reparative failure leads to progressive muscle necrosis, fibrosis, and fatty replacement. Although there is presently no cure for DMD, scientific advances have led to many potential disease-modifying treatments, including dystrophin replacement therapies, upregulation of compensatory proteins, anti-inflammatory agents, and other cellular targets. Recently approved therapies include ataluren for stop codon read-through and eteplirsen for exon 51 skipping of eligible individuals. The purpose of this chapter is to summarize the clinical features of DMD, to describe current outcome measures used in clinical studies, and to highlight new emerging therapies for affected individuals.
Collapse
|
100
|
Witherick J, Brady S. Update on muscle disease. J Neurol 2018; 265:1717-1725. [DOI: 10.1007/s00415-018-8856-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 03/30/2018] [Indexed: 12/24/2022]
|