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Peng F, Xu H, Xu T, Xu K, Cai X, Tang D, Li S, Li J, Qing W, Liu S, Liu L, Guo Y, Zhao H. Multi-parameter quantitative magnetic resonance imaging for early detecting skeletal muscle involvement and predicting functional decline in children with Becker muscular dystrophy. Pediatr Radiol 2025; 55:136-150. [PMID: 39621041 DOI: 10.1007/s00247-024-06104-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 11/05/2024] [Accepted: 11/08/2024] [Indexed: 01/24/2025]
Abstract
BACKGROUND The extreme clinical heterogeneity of children with Becker muscular dystrophy significantly poses a great challenge to accurately assess their disease status. OBJECTIVE To detect skeletal muscle involvement in children with Becker muscular dystrophy using multiple-parameter quantitative magnetic resonance imaging (qMRI), and to determine the preferred muscle site and qMRI biomarker. MATERIALS AND METHODS Fat fraction, T1, and T2 measurements were conducted in Becker muscular dystrophy (n=29) and healthy controls (n=23). North Star Ambulatory Assessment (NSAA) was performed in Becker muscular dystrophy. Group differences were compared by using the Mann-Whitney or Kruskal-Wallis test or a linear mixed-effect model. Receiver operating characteristic analysis with area under curve (AUC) was used to compare the diagnostic performance. Logistic regression was used to identify the predictor of functional decline. RESULTS Both fat fraction and T2 were effective in detecting muscle involvement across different functional stages that were categorized by NSAA, with fat fraction in gluteus maximus demonstrating the most superior diagnostic performance (AUC range, 0.85-0.98). The combination of T2 and T1 enables a good diagnosis of no abnormal fat-infiltrated muscles (AUC=0.82). Overall, fat fraction in gluteus maximus exhibited the strongest negative correlation with the NSAA score (r=-0.69, P<0.01) and emerged as an independent risk factor for functional decline (odds ratio=1.12, P=0.02). CONCLUSION Multi-parametric qMRI demonstrate effective capabilities for early detection of muscle involvement, with gluteus maximus being the preferred muscle site. Fat fraction in gluteus maximus may serve as a potential biomarker for predicting functional decline.
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Affiliation(s)
- Fei Peng
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Chuanshan Road No. 69, 421001, Hengyang, China
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, 610041, Chengdu, China
| | - Huayan Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, 610041, Chengdu, China
| | - Ting Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, 610041, Chengdu, China
| | - Ke Xu
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, 610041, Chengdu, China
| | - Xiaotang Cai
- Department of Pediatrics Neurology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Deqiu Tang
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Chuanshan Road No. 69, 421001, Hengyang, China
| | - Shuhao Li
- Department of Medical Imaging Center, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jiaoyang Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Weipeng Qing
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Chuanshan Road No. 69, 421001, Hengyang, China
| | - Shuai Liu
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Chuanshan Road No. 69, 421001, Hengyang, China
| | - Limin Liu
- Department of Ultrasound, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Jiefang Road No. 35, 421001, Hengyang, China.
| | - Yingkun Guo
- Department of Radiology, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, 20# Section 3 South Renmin Road, 610041, Chengdu, China.
| | - Heng Zhao
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Chuanshan Road No. 69, 421001, Hengyang, China.
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McDonald C, Camino E, Escandon R, Finkel RS, Fischer R, Flanigan K, Furlong P, Juhasz R, Martin AS, Villa C, Sweeney HL. Draft Guidance for Industry Duchenne Muscular Dystrophy, Becker Muscular Dystrophy, and Related Dystrophinopathies - Developing Potential Treatments for the Entire Spectrum of Disease. J Neuromuscul Dis 2024; 11:499-523. [PMID: 38363616 DOI: 10.3233/jnd-230219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Background Duchenne muscular dystrophy (DMD) and related dystrophinopathies are neuromuscular conditions with great unmet medical needs that require the development of effective medical treatments. Objective To aid sponsors in clinical development of drugs and therapeutic biological products for treating DMD across the disease spectrum by integrating advancements, patient registries, natural history studies, and more into a comprehensive guidance. Methods This guidance emerged from collaboration between the FDA, the Duchenne community, and industry stakeholders. It entailed a structured approach, involving multiple committees and boards. From its inception in 2014, the guidance underwent revisions incorporating insights from gene therapy studies, cardiac function research, and innovative clinical trial designs. Results The guidance provides a deeper understanding of DMD and its variants, focusing on patient engagement, diagnostic criteria, natural history, biomarkers, and clinical trials. It underscores patient-focused drug development, the significance of dystrophin as a biomarker, and the pivotal role of magnetic resonance imaging in assessing disease progression. Additionally, the guidance addresses cardiomyopathy's prominence in DMD and the burgeoning field of gene therapy. Conclusions The updated guidance offers a comprehensive understanding of DMD, emphasizing patient-centric approaches, innovative trial designs, and the importance of biomarkers. The focus on cardiomyopathy and gene therapy signifies the evolving realm of DMD research. It acts as a crucial roadmap for sponsors, potentially leading to improved treatments for DMD.
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Affiliation(s)
| | - Eric Camino
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Rafael Escandon
- DGBI Consulting, LLC, Bainbridge Island, Washington, DC, USA
| | | | - Ryan Fischer
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Kevin Flanigan
- Center for Experimental Neurotherapeutics, Department of Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Pat Furlong
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Rose Juhasz
- Nationwide Children's Hospital, Columbus, OH, USA
| | - Ann S Martin
- Parent Project Muscular Dystrophy, Washington, DC, USA
| | - Chet Villa
- Trinity Health Michigan, Grand Rapids, MI, USA
| | - H Lee Sweeney
- Cincinnati Children's Hospital Medical Center within the UC Department of Pediatrics, Cincinnati, OH, USA
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Ricci G, Govoni A, Torri F, Astrea G, Buchignani B, Marinella G, Battini R, Manca ML, Castiglione V, Giannoni A, Emdin M, Siciliano G. Characterization of Phenotypic Variability in Becker Muscular Dystrophy for Clinical Practice and Towards Trial Readiness: A Two-Years Follow up Study. J Neuromuscul Dis 2024; 11:375-387. [PMID: 38189759 DOI: 10.3233/jnd-221513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Background Becker muscular dystrophy (BMD) is a dystrophinopathy due to in-frame mutations in the dystrophin gene (DMD) which determines a reduction of dystrophin at muscle level. BMD has a wide spectrum of clinical variability with different degrees of disability. Studies of natural history are needed also in view of up-coming clinical trials. Objectives From an initial cohort of 32 BMD adult subjects, we present a detailed phenotypic characterization of 28 patients, then providing a description of their clinical natural history over the course of 12 months for 18 and 24 months for 13 of them. Methods Each patient has been genetically characterized. Baseline, and 1-year and 2 years assessments included North Star Ambulatory Assessment (NSAA), timed function tests (time to climb and descend four stairs), 6-minute walk test (6MWT), Walton and Gardner-Medwin Scale and Medical Research Council (MRC) scale. Muscle magnetic resonance imaging (MRI) was acquired at baseline and in a subgroup of 9 patients after 24 months. Data on cardiac function (electrocardiogram, echocardiogram, and cardiac MRI) were also collected. Results and conclusions Among the clinical heterogeneity, a more severe involvement is often observed in patients with 45-X del, with a disease progression over two years. The 6MWT appears sensitive to detect modification from baseline during follow up while no variation was observed by MRC testing. Muscle MRI of the lower limbs correlates with clinical parameters.Our study further highlights how the phenotypic variability of BMD adult patients makes it difficult to describe an uniform course and substantiates the need to identify predictive parameters and biomarkers to stratify patients.
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Affiliation(s)
- Giulia Ricci
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
| | - Alessandra Govoni
- Neuromuscular and Rare Disease Unit, La Fondazione IRCCS Ca' Granda Ospedale Maggiore di Milano Policlinico, Milano, Italy
| | - Francesca Torri
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
| | - Guja Astrea
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
| | - Bianca Buchignani
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
- Department of Translational Research and of New Surgical and Medical Technologies Pisa University, Pisa, Italy
| | - Gemma Marinella
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
| | - Roberta Battini
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
- Department of Developmental Neuroscience, IRCCS Stella Maris, Calambrone, Pisa, Italy
| | - Maria Laura Manca
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
- Department of Mathematics, University of Pisa, Pisa, Italy
| | - Vincenzo Castiglione
- Health Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Pisa, Italy
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Alberto Giannoni
- Health Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Pisa, Italy
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Michele Emdin
- Health Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Pisa, Italy
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Gabriele Siciliano
- Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, Pisa, Italy
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Abstract
PURPOSE OF REVIEW The purpose of this review is to summarise the recent developments in trial readiness, natural history studies, and interventional clinical trials for Becker muscular dystrophy (BMD). RECENT FINDINGS As several treatment concepts have claimed to convert patients with Duchenne muscular dystrophy (DMD) into a BMD phenotype, BMD itself has moved into the focus of clinical research. Natural history studies have helped to better characterize patients with BMD and the disease is now a target for interventional trials. In parallel, there have been advances in diagnostics and in the development of preclinical models. SUMMARY Despite increased collaborative efforts to improve trial readiness amongst patients with BMD, there is still a lack of long-term natural history data, and the broad spectrum of disease severity remains a challenge for well designed clinical trials.
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Affiliation(s)
- Volker Straub
- John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
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Sarkozy A, Quinlivan R, Bourke JP, Ferlini A. 263rd ENMC International Workshop: Focus on female carriers of dystrophinopathy: refining recommendations for prevention, diagnosis, surveillance, and treatment. Hoofddorp, The Netherlands, 13-15 May 2022. Neuromuscul Disord 2023; 33:274-284. [PMID: 36804616 DOI: 10.1016/j.nmd.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 01/08/2023] [Indexed: 01/13/2023]
Affiliation(s)
- Anna Sarkozy
- Dubowitz Neuromuscular Centre, Great Ormond Street Hospital, Institute of Child Health, London, UK.
| | - Rosaline Quinlivan
- Queen Square Centre for Neuromuscular Diseases, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK.
| | - John P Bourke
- Department of Cardiology, Freeman Hospital, Newcastle upon Tyne NHS Foundation Trust, Newcastle upon Tyne, UK and John Walton Muscular Dystrophy Research Centre, Newcastle University.
| | - Alessandra Ferlini
- Medical Genetics Unit, Department of Medical Science, University of Ferrara, Italy.
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van de Velde NM, Koeks Z, Signorelli M, Verwey N, Overzier M, Bakker JA, Sajeev G, Signorovitch J, Ricotti V, Verschuuren J, Brown K, Spitali P, Niks EH. Longitudinal Assessment of Creatine Kinase, Creatine/Creatinine ratio, and Myostatin as Monitoring Biomarkers in Becker Muscular Dystrophy. Neurology 2023; 100:e975-e984. [PMID: 36849458 PMCID: PMC9990441 DOI: 10.1212/wnl.0000000000201609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 10/11/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The slow and variable disease progression of Becker muscular dystrophy (BMD) urges the development of biomarkers to facilitate clinical trials. We explored changes in 3 muscle-enriched biomarkers in serum of patients with BMD over 4-year time and studied associations with disease severity, disease progression, and dystrophin levels in BMD. METHODS We quantitatively measured creatine kinase (CK) using the International Federation of Clinical Chemistry reference method, creatine/creatinineratio (Cr/Crn) using liquid chromatography-tandem mass spectrometry, and myostatin with ELISA in serum and assessed functional performance using the North Star Ambulatory Assessment (NSAA), 10-meter run velocity (TMRv), 6-Minute Walking Test (6MWT), and forced vital capacity in a 4-year prospective natural history study. Dystrophin levels were quantified in the tibialis anterior muscle using capillary Western immunoassay. The correlation between biomarkers, age, functional performance, mean annual change, and prediction of concurrent functional performance was analyzed using linear mixed models. RESULTS Thirty-four patients with 106 visits were included. Eight patients were nonambulant at baseline. Cr/Crn and myostatin were highly patient specific (intraclass correlation coefficient for both = 0.960). Cr/Crn was strongly negatively correlated, whereas myostatin was strongly positively correlated with the NSAA, TMRv, and 6MWT (Cr/Crn rho = -0.869 to -0.801 and myostatin rho = 0.792 to 0.842, all p < 0.001). CK showed a negative association with age (p = 0.0002) but was not associated with patients' performance. Cr/Crn and myostatin correlated moderately with the average annual change of the 6MWT (rho = -0.532 and 0.555, p = 0.02). Dystrophin levels did not correlate with the selected biomarkers nor with performance. Cr/Crn, myostatin, and age could explain up to 75% of the variance of concurrent functional performance of the NSAA, TMRv, and 6MWT. DISCUSSION Both Cr/Crn and myostatin could potentially serve as monitoring biomarkers in BMD, as higher Cr/Crn and lower myostatin were associated with lower motor performance and predictive of concurrent functional performance when combined with age. Future studies are needed to more precisely determine the context of use of these biomarkers.
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Affiliation(s)
- Nienke M van de Velde
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Zaïda Koeks
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Mirko Signorelli
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Nisha Verwey
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Maurice Overzier
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Jaap A Bakker
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Gautam Sajeev
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - James Signorovitch
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Valeria Ricotti
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Jan Verschuuren
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Kristy Brown
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Pietro Spitali
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom
| | - Erik H Niks
- From the Departments of Neurology (N.M.V., Z.K., J.V., E.H.N.), Biomedical Data Sciences (M.S.), Human Genetics (N.V., M.O., P.S.), and Clinical Chemistry and Laboratory Medicine (J.A.B.), Leiden University Medical Center, the Netherlands; Duchenne Center Netherlands (N.M.V., J.V., P.S., E.H.N.); European Reference Network for Rare Neuromuscular Diseases [ERN EURO-NMD] (N.M.V., Z.K., N.V., M.O., J.V., P.S., E.H.N.); Mathematical Institute (M.S.), Leiden University, the Netherlands; Analysis Group Inc (G.S., J.S.), Boston, MA; Solid Biosciences Inc (V.R., K.B.), Cambridge, MA; and NIHR Great Ormond Street Hospital Biomedical Research Centre (V.R.), Great Ormond Street Institute of Child Health, University College London, & Great Ormond Street Hospital Trust, United Kingdom.
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Comi GP, Niks EH, Vandenborne K, Cinnante CM, Kan HE, Willcocks RJ, Velardo D, Magri F, Ripolone M, van Benthem JJ, van de Velde NM, Nava S, Ambrosoli L, Cazzaniga S, Bettica PU. Givinostat for Becker muscular dystrophy: A randomized, placebo-controlled, double-blind study. Front Neurol 2023; 14:1095121. [PMID: 36793492 PMCID: PMC9923355 DOI: 10.3389/fneur.2023.1095121] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/09/2023] [Indexed: 02/03/2023] Open
Abstract
Objective No treatments are approved for Becker muscular dystrophy (BMD). This study investigated the efficacy and safety of givinostat, a histone deacetylase pan-inhibitor, in adults with BMD. Methods Males aged 18-65 years with a diagnosis of BMD confirmed by genetic testing were randomized 2:1 to 12 months treatment with givinostat or placebo. The primary objective was to demonstrate statistical superiority of givinostat over placebo for mean change from baseline in total fibrosis after 12 months. Secondary efficacy endpoints included other histological parameters, magnetic resonance imaging and spectroscopy (MRI and MRS) measures, and functional evaluations. Results Of 51 patients enrolled, 44 completed treatment. At baseline, there was greater disease involvement in the placebo group than givinostat, based on total fibrosis (mean 30.8 vs. 22.8%) and functional endpoints. Mean total fibrosis did not change from baseline in either group, and the two groups did not differ at Month 12 (least squares mean [LSM] difference 1.04%; p = 0.8282). Secondary histology parameters, MRS, and functional evaluations were consistent with the primary. MRI fat fraction in whole thigh and quadriceps did not change from baseline in the givinostat group, but values increased with placebo, with LSM givinostat-placebo differences at Month 12 of -1.35% (p = 0.0149) and -1.96% (p = 0.0022), respectively. Adverse events, most mild or moderate, were reported by 88.2% and 52.9% patients receiving givinostat and placebo. Conclusion The study failed to achieve the primary endpoint. However, there was a potential signal from the MRI assessments suggesting givinostat could prevent (or slow down) BMD disease progression.
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Affiliation(s)
- Giacomo P. Comi
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy,Department of Pathophysiology and Transplantation, Dino Ferrari Center, University of Milan, Milan, Italy,*Correspondence: Giacomo P. Comi ✉
| | - Erik H. Niks
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands,Duchenne Center Netherlands, Netherlands
| | | | | | - Hermien E. Kan
- Duchenne Center Netherlands, Netherlands,Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, Netherlands
| | | | - Daniele Velardo
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Francesca Magri
- Neurology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Michela Ripolone
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Jules J. van Benthem
- Department of Orthopedics, Rehabilitation and Physiotherapy, Leiden University Medical Center, Leiden, Netherlands
| | - Nienke M. van de Velde
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands,Duchenne Center Netherlands, Netherlands
| | - Simone Nava
- Radiology Department, Istituto Auxologico Italiano, IRCCS, Milan, Italy
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Monforte M, Attarian S, Vissing J, Diaz-Manera J, Tasca G. 265th ENMC International Workshop: Muscle imaging in Facioscapulohumeral Muscular Dystrophy (FSHD): relevance for clinical trials. 22-24 April 2022, Hoofddorp, The Netherlands. Neuromuscul Disord 2023; 33:65-75. [PMID: 36369218 DOI: 10.1016/j.nmd.2022.10.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/10/2022] [Accepted: 10/19/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Mauro Monforte
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Shahram Attarian
- Reference Center for Neuromuscular Disorders and ALS, CHU La Timone Aix-Marseille Hospital University Marseille, France
| | - John Vissing
- Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jordi Diaz-Manera
- John Walton Muscular Dystrophy Research Center, University of Newcastle, Newcastle upon Tyne, United Kingdom
| | - Giorgio Tasca
- Unità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, Rome 00168, Italy.
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Moore U, Caldas de Almeida Araújo E, Reyngoudt H, Gordish‐Dressman H, Smith FE, Wilson I, James M, Mayhew A, Rufibach L, Day JW, Jones KJ, Bharucha‐Goebel DX, Salort‐Campana E, Pestronk A, Walter MC, Paradas C, Stojkovic T, Mori‐Yoshimura M, Bravver E, Pegoraro E, Mendell JR, Bushby K, Blamire AM, Straub V, Carlier PG, Diaz‐Manera J. Water T2 could predict functional decline in patients with dysferlinopathy. J Cachexia Sarcopenia Muscle 2022; 13:2888-2897. [PMID: 36058852 PMCID: PMC9745487 DOI: 10.1002/jcsm.13063] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 05/18/2022] [Accepted: 07/04/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Water T2 (T2H2O ) mapping is increasingly being used in muscular dystrophies to assess active muscle damage. It has been suggested as a surrogate outcome measure for clinical trials. Here, we investigated the prognostic utility of T2H2O to identify changes in muscle function over time in limb girdle muscular dystrophies. METHODS Patients with genetically confirmed dysferlinopathy were assessed as part of the Jain Foundation Clinical Outcomes Study in dysferlinopathy. The cohort included 18 patients from two sites, both equipped with 3-tesla magnetic resonance imaging (MRI) systems from the same vendor. T2H2O value was defined as higher or lower than the median in each muscle bilaterally. The degree of deterioration on four functional tests over 3 years was assessed in a linear model against covariates of high or low T2H2O at baseline, age, disease duration, and baseline function. RESULTS A higher T2H2O at baseline significantly correlated with a greater decline on functional tests in 21 out of 35 muscles and was never associated with slower decline. Higher baseline T2H2O in adductor magnus, vastus intermedius, vastus lateralis, and vastus medialis were the most sensitive, being associated bilaterally with greater decline in multiple timed tests. Patients with a higher than median baseline T2H2O (>40.6 ms) in the right vastus medialis deteriorated 11 points more on the North Star Ambulatory Assessment for Dysferlinopathy and lost an additional 86 m on the 6-min walk than those with a lower T2H2O (<40.6 ms). Optimum sensitivity and specificity thresholds for predicting decline were 39.0 ms in adductor magnus and vastus intermedius, 40.0 ms in vastus medialis, and 40.5 ms in vastus lateralis from different sites equipped with different MRI systems. CONCLUSIONS In dysferlinopathy, T2H2O did not correlate with current functional ability. However, T2H2O at baseline was higher in patients who worsened more rapidly on functional tests. This suggests that inter-patient differences in functional decline over time may be, in part, explained by different severities of the active muscle damage, assessed by T2H2O measure at baseline. Significant challenges remain in standardizing T2H2O values across sites to allow determining globally applicable thresholds. The results from the present work are encouraging and suggest that T2H2O could be used to improve prognostication, patient selection, and disease modelling for clinical trials.
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Affiliation(s)
- Ursula Moore
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Ericky Caldas de Almeida Araújo
- NMR Laboratory, Neuromuscular Investigation CenterInstitute of MyologyParisFrance
- NMR LaboratoryCEA/DRF/IBFJ/MIRCenParisFrance
| | - Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation CenterInstitute of MyologyParisFrance
- NMR LaboratoryCEA/DRF/IBFJ/MIRCenParisFrance
| | - Heather Gordish‐Dressman
- Center for Translational Science, Division of Biostatistics and Study MethodologyChildren's National Health SystemWashingtonDCUSA
- Pediatrics, Epidemiology and BiostatisticsGeorge Washington UniversityWashingtonDCUSA
| | - Fiona E. Smith
- Magnetic Resonance Centre, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Ian Wilson
- Magnetic Resonance Centre, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Meredith James
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Anna Mayhew
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | | | - John W. Day
- Department of Neurology and Neurological SciencesStanford University School of MedicineStanfordCAUSA
| | - Kristi J. Jones
- The Children's Hospital at Westmead and The University of SydneySydneyNSWAustralia
| | - Diana X. Bharucha‐Goebel
- Department of NeurologyChildren's National Health SystemWashingtonDCUSA
- National Institutes of Health (NINDS)BethesdaMDUSA
| | | | - Alan Pestronk
- Department of NeurologyWashington University School of MedicineSt. LouisMOUSA
| | - Maggie C. Walter
- Friedrich‐Baur‐Institute, Department of NeurologyLudwig‐Maximilians‐University of MunichMunichGermany
| | - Carmen Paradas
- Neuromuscular Unit, Department of NeurologyHospital U. Virgen del Rocío/Instituto de Biomedicina de SevillaSevillaSpain
| | - Tanya Stojkovic
- Centre de référence des maladies neuromusculairesInstitut de Myologie, AP‐HP, Sorbonne Université, Hôpital Pitié‐SalpêtrièreParisFrance
| | - Madoka Mori‐Yoshimura
- Department of NeurologyNational Center Hospital, National Center of Neurology and PsychiatryTokyoJapan
| | - Elena Bravver
- Neuroscience InstituteCarolinas Neuromuscular/ALS‐MDA Center, Carolinas HealthCare SystemCharlotteNCUSA
| | - Elena Pegoraro
- Department of NeuroscienceUniversity of PadovaPaduaItaly
| | - Jerry R. Mendell
- The Abigail Wexner Research Institute at Nationwide Children's HospitalColumbusOHUSA
| | | | - Kate Bushby
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Andrew M. Blamire
- Magnetic Resonance Centre, Translational and Clinical Research InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Volker Straub
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
| | - Pierre G. Carlier
- Université Paris‐Saclay, CEA, DRF, Service Hospitalier Frederic JoliotOrsayFrance
| | - Jordi Diaz‐Manera
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research InstituteNewcastle University and Newcastle Hospitals NHS Foundation TrustNewcastle upon TyneUK
- Neuromuscular Disorders Unit, Neurology DepartmentHospital de la Santa Creu i Sant PauBarcelonaSpain
- Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER)MadridSpain
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Kim YJ, Kim HS, Lee JH, Yoon YC, Choi BO. Magnetic resonance imaging-based lower limb muscle evaluation in Charcot-Marie-Tooth disease type 1A patients and its correlation with clinical data. Sci Rep 2022; 12:16622. [PMID: 36198750 PMCID: PMC9534835 DOI: 10.1038/s41598-022-21112-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 09/22/2022] [Indexed: 11/25/2022] Open
Abstract
We aimed to derive comprehensive MRI parameters that reflect intramuscular fat infiltration severity for designated lower extremity levels, based on semiquantitative analyses in Charcot-Marie-Tooth disease type 1A (CMT1A) patients. We reviewed lower extremity MRIs of 116 CMT1A patients. Intramuscular fat infiltration grading using the Mercuri scale was performed for the non-dominant lower extremity at three levels (proximal, mid, and distal) for the thigh and at two levels (proximal and distal) for the lower leg. Based on MRI results, the following parameters were calculated for each level and for entire muscles: fat infiltration proportion (FIP), significant fat infiltration proportion (SigFIP), and severe fat infiltration proportion (SevFIP). The relationships between the MRI parameters and clinical data were evaluated using Spearman’s correlation analysis. FIP, SigFIP, and SevFIP measured for entire muscles significantly correlated with Charcot-Marie-Tooth Neuropathy Score (p < 0.001), functional disability scale (p < 0.001), 10-m walk test time (p = 0.0003, 0.0010, and 0.0011), and disease duration (p < 0.001). Similar correlations were demonstrated for FIP, SigFIP, and SevFIP acquired from the lower leg. Our MRI parameters obtained through semiquantitative analyses of muscles significantly correlated with clinical parameters in CMT1A patients, suggesting their potential applicability as imaging markers for clinical severity.
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Affiliation(s)
- Yeo Jin Kim
- Department of Radiology, Veterans Health Service Medical Center, Seoul, 05368, South Korea
| | - Hyun Su Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
| | - Ji Hyun Lee
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Young Cheol Yoon
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Byung-Ok Choi
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea
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De Wel B, Huysmans L, Peeters R, Goosens V, Ghysels S, Byloos K, Putzeys G, D'Hondt A, De Bleecker JL, Dupont P, Maes F, Claeys KG. Prospective Natural History Study in 24 Adult Patients With LGMDR12 Over 2 Years of Follow-up: Quantitative MRI and Clinical Outcome Measures. Neurology 2022; 99:e638-e649. [PMID: 35577579 DOI: 10.1212/wnl.0000000000200708] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 03/24/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Limb-girdle muscular dystrophy autosomal recessive type 12 (LGMDR12) is a rare hereditary muscular dystrophy for which outcome measures are currently lacking. We evaluated quantitative MRI and clinical outcome measures to track disease progression to determine which tests could be useful in future clinical trials to evaluate potential therapies. METHODS We prospectively measured the following outcome measures in all participants at baseline and after 1 and 2 years: 6-minute walk distance (6MWD), 10-meter walk test (10MWT), the Medical Research Council (MRC) sum scores, Biodex isometric dynamometry, serum creatine kinase, and 6-point Dixon MRI of the thighs. RESULTS We included 24 genetically confirmed, adult patients with LGMDR12 and 24 age-matched and sex-matched healthy controls. Patients with intermediate-stage thigh muscle fat replacement at baseline (proton density fat fraction [PDFF] 20%-70%) already showed an increase in PDFF in 8 of the 14 evaluated thigh muscles after 1 year. The standardized response mean demonstrated a high responsiveness to change in PDFF for 6 individual muscles over 2 years in this group. However, in patients with early-stage (<20%) or end-stage (>70%) muscle fat replacement, PDFF did not increase significantly over 2 years of follow-up. Biodex isometric dynamometry showed a significant decrease in muscle strength in all patients in the right and left hamstrings (-6.2 Nm, p < 0.002 and -4.6 Nm, p < 0.009, respectively) and right quadriceps muscles (-9 Nm, p = 0.044) after 1 year of follow-up, whereas the 6MWD, 10MWT, and MRC sum scores were not able to detect a significant decrease in muscle function/strength even after 2 years. There was a moderately strong correlation between total thigh PDFF and clinical outcome measures at baseline. DISCUSSION Thigh muscle PDFF imaging is a sensitive outcome measure to track progressive muscle fat replacement in selected patients with LGMDR12 even after 1 year of follow-up and correlates with clinical outcome measures. Biodex isometric dynamometry can reliably capture the loss of muscle strength over the course of 1 year in patients with LGMDR12 and should be included as an outcome measure in future clinical trials as well.
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Affiliation(s)
- Bram De Wel
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Lotte Huysmans
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Ronald Peeters
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Veerle Goosens
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Stefan Ghysels
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Kris Byloos
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Guido Putzeys
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Ann D'Hondt
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Jan L De Bleecker
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Patrick Dupont
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Frederik Maes
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium
| | - Kristl G Claeys
- From the Departments of Neurology (B.D.W., A.D.H., K.G.C.) and Radiology (R.P., V.G., S.G., K.B., G.P.), and Medical Imaging Research Centre (L.H., F.M.), University Hospitals Leuven; Laboratories for Muscle Diseases and Neuropathies (B.D.W., K.G.C.) and Cognitive Neurology (P.D.), Department of Neurosciences, and Department ESAT-PSI (L.H., F.M.), KU Leuven; Leuven Brain Institute (LBI) (B.D.W., K.G.C., P.D.); and Department of Neurology (J.L.D.B.), University Hospital Gent, Belgium.
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Veeger TTJ, van de Velde NM, Keene KR, Niks EH, Hooijmans MT, Webb AG, de Groot JH, Kan HE. Baseline fat fraction is a strong predictor of disease progression in Becker muscular dystrophy. NMR IN BIOMEDICINE 2022; 35:e4691. [PMID: 35032073 PMCID: PMC9286612 DOI: 10.1002/nbm.4691] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/24/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
In Becker muscular dystrophy (BMD), muscle weakness progresses relatively slowly, with a highly variable rate among patients. This complicates clinical trials, as clinically relevant changes are difficult to capture within the typical duration of a trial. Therefore, predictors for disease progression are needed. We assessed if temporal increase of fat fraction (FF) in BMD follows a sigmoidal trajectory and whether fat fraction at baseline (FFbase) could therefore predict FF increase after 2 years (ΔFF). Thereafter, for two different MR-based parameters, we tested the additional predictive value to FFbase. We used 3-T Dixon data from the upper and lower leg, and multiecho spin-echo MRI and 7-T 31 P MRS datasets from the lower leg, acquired in 24 BMD patients (age: 41.4 [SD 12.8] years). We assessed the pattern of increase in FF using mixed-effects modelling. Subsequently, we tested if indicators of muscle damage like standard deviation in water T2 (stdT2 ) and the phosphodiester (PDE) over ATP ratio at baseline had additional value to FFbase for predicting ∆FF. The association between FFbase and ΔFF was described by the derivative of a sigmoid function and resulted in a peak ΔFF around 0.45 FFbase (fourth-order polynomial term: t = 3.7, p < .001). StdT2 and PDE/ATP were not significantly associated with ∆FF if FFbase was included in the model. The relationship between FFbase and ∆FF suggests a sigmoidal trajectory of the increase in FF over time in BMD, similar to that described for Duchenne muscular dystrophy. Our results can be used to identify muscles (or patients) that are in the fast progressing stage of the disease, thereby facilitating the conduct of clinical trials.
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Affiliation(s)
- Thom T. J. Veeger
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Nienke M. van de Velde
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Kevin R. Keene
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Erik H. Niks
- Department of Neurology, Leiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
| | - Melissa T. Hooijmans
- Department of Radiology & Nuclear MedicineAmsterdam University Medical CentersAmsterdamThe Netherlands
| | - Andrew G. Webb
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Jurriaan H. de Groot
- Department of Rehabilitation Medicine, Leiden University Medical Center (LUMC)LeidenThe Netherlands
| | - Hermien E. Kan
- C. J. Gorter Center for High Field MRI, Department of RadiologyLeiden University Medical Center (LUMC)LeidenThe Netherlands
- Duchenne Center NetherlandsThe Netherlands
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Barp A, Carraro E, Goggi G, Lizio A, Zanolini A, Messina C, Perego S, Verdelli C, Lombardi G, Sansone VA, Corbetta S. Body composition and myokines in a cohort of patients with Becker muscular dystrophy. Muscle Nerve 2022; 66:63-70. [PMID: 35474226 PMCID: PMC9321020 DOI: 10.1002/mus.27565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 04/19/2022] [Accepted: 04/23/2022] [Indexed: 11/13/2022]
Abstract
Introduction/Aims Becker muscular dystrophy (BMD) is an X‐linked disease leading to muscle wasting and weakness. The decrease in lean body mass (LBM) in Duchenne muscular dystrophy, has shown correlation with loss of muscle function and bone density (BD). Myokines (including irisin) are hormones secreted by skeletal muscle that allow crosstalk between muscle and bone. The present study analyzed body composition and circulating myokine levels in a cohort of BMD patients; moreover, the association between dual energy X‐ray absorptiometry (DXA) parameters, functional motor assessments, and myokine levels was investigated. Methods All patients underwent DXA, blood samples for myokine assays, and functional motor assessments. A group of healthy controls (HCs) was also included. Results Thirty BMD patients, median age at evaluation 36.0 y [26.0–41.0], were included. Twenty‐nine patients underwent whole‐body DXA. Median value of total body Z‐score was −0.70. The prevalence of low skeletal muscle mass defined as appendicular skeletal muscle mass index (ASMMI) < 7.59 kg/m2 was 83%. Irisin levels were significantly lower in BMD compared to HCs (p = .03). All DXA parameters showed significant correlation with the functional motor assessments, in particular the h2‐standardized lean mass lower limb index (p = .0006); h2‐standardized total fat mass showed negative correlations with North Star Ambulatory Assessment and 6 min walk test (p = .03). Discussion DXA is a useful tool to evaluate body composition in BMD patients; the decrease in BD and LBM is associated with a reduction of motor function in BMD.
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Affiliation(s)
- Andrea Barp
- Neurorehabilitation Unit, NeMO Clinical Center, University of Milan, Milan, Italy
| | - Elena Carraro
- Neurorehabilitation Unit, NeMO Clinical Center, University of Milan, Milan, Italy
| | - Giovanni Goggi
- Endocrinology and Diabetology Service, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.,Department of Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Andrea Lizio
- Neurorehabilitation Unit, NeMO Clinical Center, University of Milan, Milan, Italy
| | - Alice Zanolini
- Neurorehabilitation Unit, NeMO Clinical Center, University of Milan, Milan, Italy
| | | | - Silvia Perego
- Laboratory of Experimental Biochemistry & Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Chiara Verdelli
- Laboratory of Experimental Endocrinology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Giovanni Lombardi
- Laboratory of Experimental Biochemistry & Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.,Department of Athletics, Strength and Conditioning, Poznań University of Physical Education, Poznań, Poland
| | - Valeria Ada Sansone
- Neurorehabilitation Unit, NeMO Clinical Center, University of Milan, Milan, Italy
| | - Sabrina Corbetta
- Endocrinology and Diabetology Service, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.,Department of Biomedical, Surgery and Dental Sciences, University of Milan, Milan, Italy
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14
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Hooijmans MT, Habets LE, van den Berg‐Faay SAM, Froeling M, Asselman F, Strijkers GJ, Jeneson JAL, Bartels B, Nederveen AJ, van der Pol WL. Multi-parametric quantitative magnetic resonance imaging of the upper arm muscles of patients with spinal muscular atrophy. NMR IN BIOMEDICINE 2022; 35:e4696. [PMID: 35052014 PMCID: PMC9286498 DOI: 10.1002/nbm.4696] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/24/2021] [Accepted: 01/17/2022] [Indexed: 06/09/2023]
Abstract
Quantitative magnetic resonance imaging (qMRI) is frequently used to map the disease state and disease progression in the lower extremity muscles of patients with spinal muscular atrophy (SMA). This is in stark contrast to the almost complete lack of data on the upper extremity muscles, which are essential for carrying out daily activities. The aim of this study was therefore to assess the disease state in the upper arm muscles of patients with SMA in comparison with healthy controls by quantitative assessment of fat fraction, diffusion indices, and water T2 relaxation times, and to relate these measures to muscle force. We evaluated 13 patients with SMA and 15 healthy controls with a 3-T MRI protocol consisting of DIXON, diffusion tensor imaging, and T2 sequences. qMRI measures were compared between groups and related to muscle force measured with quantitative myometry. Fat fraction was significantly increased in all upper arm muscles of the patients with SMA compared with healthy controls and correlated negatively with muscle force. Additionally, fat fraction was heterogeneously distributed within the triceps brachii (TB) and brachialis muscle, but not in the biceps brachii muscle. Diffusion indices and water T2 relaxation times were similar between patients with SMA and healthy controls, but we did find a slightly reduced mean diffusivity (MD), λ1, and λ3 in the TB of patients with SMA. Furthermore, MD was positively correlated with muscle force in the TB of patients with SMA. The variation in fat fraction further substantiates the selective vulnerability of muscles. The reduced diffusion tensor imaging indices, along with the positive correlation of MD with muscle force, point to myofiber atrophy. Our results show the feasibility of qMRI to map the disease state in the upper arm muscles of patients with SMA. Longitudinal data in a larger cohort are needed to further explore qMRI to map disease progression and to capture the possible effects of therapeutic interventions.
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Affiliation(s)
- Melissa T. Hooijmans
- Department of Radiology and Nuclear Medicine, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - Laura E. Habets
- Center for Child Development, Exercise and Physical Literacy, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Sandra A. M. van den Berg‐Faay
- Department of Radiology and Nuclear Medicine, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - Martijn Froeling
- Department of RadiologyUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Fay‐Lynn Asselman
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Gustav J. Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - Jeroen A. L. Jeneson
- Center for Child Development, Exercise and Physical Literacy, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Bart Bartels
- Center for Child Development, Exercise and Physical Literacy, Wilhelmina Children's HospitalUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Aart J. Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam Movement SciencesAmsterdam University Medical CenterAmsterdamThe Netherlands
| | - W. Ludo van der Pol
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
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15
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Reyngoudt H, Smith FE, Caldas de Almeida Araújo E, Wilson I, Fernández-Torrón R, James MK, Moore UR, Díaz-Manera J, Marty B, Azzabou N, Gordish H, Rufibach L, Hodgson T, Wallace D, Ward L, Boisserie JM, Le Louër J, Hilsden H, Sutherland H, Canal A, Hogrel JY, Jacobs M, Stojkovic T, Bushby K, Mayhew A, Straub V, Carlier PG, Blamire AM. Three-year quantitative magnetic resonance imaging and phosphorus magnetic resonance spectroscopy study in lower limb muscle in dysferlinopathy. J Cachexia Sarcopenia Muscle 2022; 13:1850-1863. [PMID: 35373496 PMCID: PMC9178361 DOI: 10.1002/jcsm.12987] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 02/10/2022] [Accepted: 02/28/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Natural history studies in neuromuscular disorders are vital to understand the disease evolution and to find sensitive outcome measures. We performed a longitudinal assessment of quantitative magnetic resonance imaging (MRI) and phosphorus magnetic resonance spectroscopy (31 P MRS) outcome measures and evaluated their relationship with function in lower limb skeletal muscle of dysferlinopathy patients. METHODS Quantitative MRI/31 P MRS data were obtained at 3 T in two different sites in 54 patients and 12 controls, at baseline, and three annual follow-up visits. Fat fraction (FF), contractile cross-sectional area (cCSA), and muscle water T2 in both global leg and thigh segments and individual muscles and 31 P MRS indices in the anterior leg compartment were assessed. Analysis included comparisons between patients and controls, assessments of annual changes using a linear mixed model, standardized response means (SRM), and correlations between MRI and 31 P MRS markers and functional markers. RESULTS Posterior muscles in thigh and leg showed the highest FF values. FF at baseline was highly heterogeneous across patients. In ambulant patients, median annual increases in global thigh and leg segment FF values were 4.1% and 3.0%, respectively (P < 0.001). After 3 years, global thigh and leg FF increases were 9.6% and 8.4%, respectively (P < 0.001). SRM values for global thigh FF were over 0.8 for all years. Vastus lateralis muscle showed the highest SRM values across all time points. cCSA decreased significantly after 3 years with median values of 11.0% and 12.8% in global thigh and global leg, respectively (P < 0.001). Water T2 values in ambulant patients were significantly increased, as compared with control values (P < 0.001). The highest water T2 values were found in the anterior part of thigh and leg. Almost all 31 P MRS indices were significantly different in patients as compared with controls (P < 0.006), except for pHw , and remained, similar as to water T2 , abnormal for the whole study duration. Global thigh water T2 at baseline was significantly correlated to the change in FF after 3 years (ρ = 0.52, P < 0.001). There was also a significant relationship between the change in functional score and change in FF after 3 years in ambulant patients (ρ = -0.55, P = 0.010). CONCLUSIONS This multi-centre study has shown that quantitative MRI/31 P MRS measurements in a heterogeneous group of dysferlinopathy patients can measure significant changes over the course of 3 years. These data can be used as reference values in view of future clinical trials in dysferlinopathy or comparisons with quantitative MRI/S data obtained in other limb-girdle muscular dystrophy subtypes.
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Affiliation(s)
- Harmen Reyngoudt
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Fiona E Smith
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Ericky Caldas de Almeida Araújo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Ian Wilson
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Roberto Fernández-Torrón
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.,Neuromuscular Area, Biodonostia Health Research Institute, Neurology Service, Donostia University Hospital, Donostia-San Sebastian, Spain
| | - Meredith K James
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Ursula R Moore
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Jordi Díaz-Manera
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.,Neuromuscular Disorders Unit, Neurology Department, Hospital Santa Creu i Sant Pau, Barcelona, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain
| | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Noura Azzabou
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.,NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Heather Gordish
- Center for Translational Science, Division of Biostatistics and Study Methodology, Children's National Health System, Washington, DC, USA.,Pediatrics, Epidemiology and Biostatistics, George Washington University, Washington, DC, USA
| | | | - Tim Hodgson
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Dorothy Wallace
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Louise Ward
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Jean-Marc Boisserie
- 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
| | - Heather Hilsden
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Helen Sutherland
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Aurélie Canal
- Neuromuscular Physiology and Evaluation Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Jean-Yves Hogrel
- Neuromuscular Physiology and Evaluation Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France
| | - Marni Jacobs
- Center for Translational Science, Division of Biostatistics and Study Methodology, Children's National Health System, Washington, DC, USA.,Pediatrics, Epidemiology and Biostatistics, George Washington University, Washington, DC, USA
| | - Tanya Stojkovic
- Neuromuscular Reference Center, Institute of Myology, Pitié-Salpêtrière Hospital (AP-HP), Paris, France
| | - Kate Bushby
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Anna Mayhew
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | | | - Volker Straub
- The John Walton Muscular Dystrophy Research Centre, Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | | | - Andrew M Blamire
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
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16
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Mensch A, Nägel S, Zierz S, Kraya T, Stoevesandt D. Bildgebung der Muskulatur bei Neuromuskulären Erkrankungen
– von der Initialdiagnostik bis zur Verlaufsbeurteilung. KLIN NEUROPHYSIOL 2022. [DOI: 10.1055/a-1738-5356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
ZusammenfassungDie bildgebende Diagnostik hat sich zu einem integralen Element der Betreuung von
PatientInnen mit neuromuskulären Erkrankungen entwickelt. Als
wesentliches Diagnostikum ist hierbei die Magnetresonanztomografie als breit
verfügbares und vergleichsweise standardisiertes Untersuchungsverfahren
etabliert, wobei die Sonografie der Muskulatur bei hinreichend erfahrenem
Untersucher ebenfalls geeignet ist, wertvolle diagnostische Informationen zu
liefern. Das CT hingegen spielt eine untergeordnete Rolle und sollte nur bei
Kontraindikationen für eine MRT in Erwägung gezogen werden.
Zunächst wurde die Bildgebung bei Muskelerkrankungen primär in
der Initialdiagnostik unter vielfältigen Fragestellungen eingesetzt. Das
Aufkommen innovativer Therapiekonzepte bei verschiedenen neuromuskulären
Erkrankungen machen neben einer möglichst frühzeitigen
Diagnosestellung insbesondere auch eine multimodale Verlaufsbeurteilung zur
Evaluation des Therapieansprechens notwendig. Auch hier wird die Bildgebung der
Muskulatur als objektiver Parameter des Therapieerfolges intensiv diskutiert und
in Forschung wie Praxis zunehmend verwendet.
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Affiliation(s)
- Alexander Mensch
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Steffen Nägel
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Stephan Zierz
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
| | - Torsten Kraya
- Universitätsklinik und Poliklinik für Neurologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
- Klinik für Neurologie, Klinikum St. Georg,
Leipzig
| | - Dietrich Stoevesandt
- Universitätsklinik und Poliklinik für Radiologie,
Martin-Luther-Universität Halle-Wittenberg und
Universitätsklinikum Halle, Halle (Saale)
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17
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Comi GP, Niks EH, Cinnante CM, Kan HE, Vandenborne K, Willcocks RJ, Velardo D, Ripolone M, van Benthem JJ, van de Velde NM, Nava S, Ambrosoli L, Cazzaniga S, Bettica PU. Characterization of patients with Becker muscular dystrophy by histology, magnetic resonance imaging, function, and strength assessments. Muscle Nerve 2021; 65:326-333. [PMID: 34918368 PMCID: PMC9302983 DOI: 10.1002/mus.27475] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 12/07/2021] [Accepted: 12/11/2021] [Indexed: 12/21/2022]
Abstract
Introduction/Aims Becker muscular dystrophy (BMD) is characterized by variable disease severity and progression, prompting the identification of biomarkers for clinical trials. We used data from an ongoing phase II study to provide a comprehensive characterization of a cohort of patients with BMD, and to assess correlations between histological and magnetic resonance imaging (MRI) markers with muscle function and strength. Methods Eligible patients were ambulatory males with BMD, aged 18 to 65 years (200 to 450 meters on 6‐minute walk test). The following data were obtained: function test results, strength, fat‐fraction quantification using chemical shift‐encoded MRI (whole thigh and quadriceps), and fibrosis and muscle fiber area (MFA) of the brachial biceps. Results Of 70 patients screened, 51 entered the study. There was substantial heterogeneity between patients in muscle morphology (histology and MRI), with high fat replacement. Total fibrosis correlated significantly and mostly moderately with all functional endpoints, including both upper arm strength assessments (left and right elbow flexion rho −.574 and −.588, respectively [both P < .0001]), as did MRI fat fraction (whole thigh and quadriceps), for example, with four‐stair‐climb velocity −.554 and −.550, respectively (both P < .0001). Total fibrosis correlated significantly and moderately with both MRI fat fraction assessments (.500 [P = .0003] and .423 [.0024], respectively). Discussion In this BMD cohort, micro‐ and macroscopic morphological muscle parameters correlated moderately with each other and with functional parameters, potentially supporting the use of MRI fat fraction and histology as surrogate outcome measures in patients with BMD, although additional research is required to validate this.
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Affiliation(s)
- Giacomo P Comi
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.,Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Erik H Niks
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Duchenne Center Netherlands, The Netherlands
| | - Claudia M Cinnante
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Hermien E Kan
- Duchenne Center Netherlands, The Netherlands.,C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Krista Vandenborne
- ImagingDMD and Department of Physical Therapy, University of Florida, Gainesville, Florida, USA
| | - Rebecca J Willcocks
- ImagingDMD and Department of Physical Therapy, University of Florida, Gainesville, Florida, USA
| | - Daniele Velardo
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.,Dino Ferrari Center, Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Michela Ripolone
- Neuromuscular and Rare Diseases Unit, Department of Neuroscience, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Jules J van Benthem
- Department of Orthopedics, Rehabilitation and Physiotherapy, Leiden University Medical Center, Leiden, The Netherlands
| | - Nienke M van de Velde
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.,Duchenne Center Netherlands, The Netherlands
| | - Simone Nava
- Neuroradiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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