Muscle dystrophies in children
Genetic and clinical correlation
Keywords:
muscle dystrophies, DMD, LGMD, DM, distal dystrophy, geneticsAbstract
Muscular dystrophies are a heterogeneous inherited group of disorders characterized by a variable distribution of weakness, various ages of onset, the pattern of inheritance, rate of progression, and clinical severity. Muscle degeneration and regeneration characterize muscle biopsy and these disorders are typically associated with elevated serum creatine kinase. Objective: We wanted to study the clinical characteristics of patients with muscle dystrophies and study clinical and genetic correlation in patients with Duchenne muscular dystrophy. Methods: This cross-sectional descriptive study included a cohort of 60 patients diagnosed with muscular dystrophy and fulfilling the inclusion criteria. All patients were subjected to full history taking and full neurological examination. Results: Patients are divided into five groups to study clinical characteristics in each group. 1. Duchenne muscular dystrophy group: included 30 patients who have genetically confirmed DMD cases (50 %), 2. Limb-girdle muscular dystrophy group: included 23 patients (38.3 %), 3. Myotonic dystrophy group: included 3 patients (5 %), 4. Congenital muscular dystrophy group: included 3 patients who were diagnosed clinically as merosin deficient congenital muscle dystrophy (5 %), 5. Distal dystrophy group: included 1 patient with distal muscle dystrophy (1.7 %). Mean age, gender, age of symptoms onset, main motor symptoms, CPK level, echocardiography.
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A. Fischmann and D. Fischer, “Neuromuscular imaging in muscular dystrophies and other muscle diseases,” Imaging in Medicine, vol. 5, no. 3. pp. 237–248, Jun. 2013, doi: 10.2217/iim.13.26.
C. T. Rocha and E. P. Hoffman, “Limb-girdle and congenital muscular dystrophies: Current diagnostics, management, and emerging technologies,” Curr. Neurol. Neurosci. Rep., vol. 10, no. 4, pp. 267–276, 2010, doi: 10.1007/s11910-010-0119-1.
D. A. Kumbhare, “Advanced Skeletal Muscle MR Imaging Approaches in the Assessment of Muscular Dystrophies,” Int. J. Phys. Med. Rehabil., vol. 02, no. 06, 2014, doi: 10.4172/2329-9096.1000248.
M. M. Rehani, “th or ’ s Au th co,” no. July 2013, pp. 557–561, 2015, doi: 10.1007/174.
J. H. Johnston et al., “Quantitative skeletal muscle MRI: Part 1, derived T2 fat map in differentiation between boys with Duchenne muscular dystrophy and healthy boys,” Am. J. Roentgenol., vol. 205, no. 2, pp. W207–W215, 2015, doi: 10.2214/AJR.14.13754.
R. Salari, R. Salari, and C. Medicine, “Electronic Physician ( ISSN : 2008-5842 ),” Electron. Physician, vol. 9, no. January, pp. 3592–3597, 2017.
K. Polavarapu et al., “Muscle MRI in Duchenne muscular dystrophy: Evidence of a distinctive pattern,” Neuromuscul. Disord., vol. 26, no. 11, pp. 768–774, Nov. 2016, doi: 10.1016/j.nmd.2016.09.002.
I. Desguerre et al., “Clinical heterogeneity of Duchenne muscular dystrophy (DMD): Definition of sub-phenotypes and predictive criteria by long-term follow-up,” PLoS One, vol. 4, no. 2, 2009, doi: 10.1371/journal.pone.0004347.
L. Yin et al., “T2 Mapping and Fat Quantification of Thigh Muscles in Children with Duchenne Muscular Dystrophy,” Curr. Med. Sci., vol. 39, no. 1, pp. 138–145, 2019, doi: 10.1007/s11596-019-2012-8.
Y. A. Choi, H. I. Shin, and H. I. Shin, “Scoliosis in Duchenne muscular dystrophy children is fully reducible in the initial stage, and becomes structural over time,” BMC Musculoskelet. Disord., vol. 20, no. 1, pp. 1–8, 2019, doi: 10.1186/s12891-019-2661-6.
T. Yamamoto et al., “Cardiac Dysfunction in Duchenne Muscular Dystrophy Is Less Frequent in Patients With Mutations in the Dystrophin Dp116 Coding Region Than in Other Regions,” Circ. Genomic Precis. Med., vol. 11, no. 1, p. e001782, 2018, doi: 10.1161/CIRCGEN.117.001782.
S. Pandya et al., “Health profile of a cohort of adults with Duchenne muscular dystrophy,” Muscle and Nerve, vol. 58, no. 2, pp. 219–223, 2018, doi: 10.1002/mus.26129.
C. Chen et al., “Screening of Duchenne Muscular Dystrophy (DMD) mutations and investigating its mutational mechanism in Chinese patients,” PLoS One, vol. 9, no. 9, 2014, doi: 10.1371/journal.pone.0108038.
K. Polavarapu et al., “Muscle MRI in Duchenne muscular dystrophy: Evidence of a distinctive pattern,” Neuromuscul. Disord., vol. 26, no. 11, pp. 768–774, 2016, doi: 10.1016/j.nmd.2016.09.002.
L. Wang et al., “The clinical spectrum and genetic variability of limb-girdle muscular dystrophy in a cohort of Chinese patients,” Orphanet J. Rare Dis., vol. 13, no. 1, 2018, doi: 10.1186/s13023-018-0859-6.
P. B. Winckler et al., “Clinicogenetic lessons from 370 patients with autosomal recessive limb-girdle muscular dystrophy,” Clin. Genet., vol. 96, no. 4, pp. 341–353, 2019, doi: 10.1111/cge.13597.
D. Fischer et al., “ORIGINAL COMMUNICATION Diagnostic value of muscle MRI in differentiating LGMD2I from other LGMDs,” J Neurol, vol. 252, pp. 538–547, 2005, doi: 10.1007/s00415-005-0684-4.
H. J. Kim, J. H. Na, and Y. M. Lee, “Genotype-phenotype correlations in pediatric patients with myotonic dystrophy type 1,” Korean J. Pediatr., vol. 62, no. 2, pp. 55–61, 2019, doi: 10.3345/KJP.2018.06919.
G. Solbakken et al., “MRI of trunk muscles and motor and respiratory function in patients with myotonic dystrophy type 1,” BMC Neurol., vol. 19, no. 1, pp. 1–11, 2019, doi: 10.1186/s12883-019-1357-8.
C. Turner and D. Hilton-Jones, “The myotonic dystrophies: diagnosis and management,” J. Neurol. Neurosurg. Psychiatry, vol. 81, no. 4, pp. 358–367, 2010, doi: 10.1136/jnnp.2008.158261.
J. Oliveira et al., “LAMA2 gene analysis in a cohort of 26 congenital muscular dystrophy patients,” Clin. Genet., vol. 74, no. 6, pp. 502–512, 2008, doi: 10.1111/j.1399-0004.2008.01068.x.
E. Bugiardini et al., “The diagnostic value of MRI pattern recognition in distal myopathies,” Front. Neurol., vol. 9, no. JUN, pp. 1–11, 2018, doi: 10.3389/fneur.2018.00456.
Aryani, L. N. A., & Lesmana, C. B. J. (2019). Neuropsychiatric factor and polymorphism gene in internet addiction. International Journal of Health & Medical Sciences, 2(1), 39-44. https://doi.org/10.31295/ijhms.v2n1.90
Widana, I.K., Dewi, G.A.O.C., Suryasa, W. (2020). Ergonomics approach to improve student concentration on learning process of professional ethics. Journal of Advanced Research in Dynamical and Control Systems, 12(7), 429-445.
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