Literature DB >> 27184587

The italian limb girdle muscular dystrophy registry: Relative frequency, clinical features, and differential diagnosis.

Francesca Magri1, Vincenzo Nigro2,3, Corrado Angelini4, Tiziana Mongini5, Marina Mora6, Isabella Moroni7, Antonio Toscano8, Maria Grazia D'angelo9, Giuliano Tomelleri10, Gabriele Siciliano11, Giulia Ricci11, Claudio Bruno12, Stefania Corti1, Olimpia Musumeci8, Giorgio Tasca13, Enzo Ricci14, Mauro Monforte14, Monica Sciacco15, Chiara Fiorillo16, Sandra Gandossini9, Carlo Minetti12, Lucia Morandi6, Marco Savarese2,3, Giuseppina Di Fruscio2,3, Claudio Semplicini17, Elena Pegoraro17, Alessandra Govoni1, Roberta Brusa1, Roberto Del Bo1, Dario Ronchi1, Maurizio Moggio15, Nereo Bresolin1, Giacomo Pietro Comi1.   

Abstract

INTRODUCTION: Limb girdle muscular dystrophies (LGMDs) are characterized by high molecular heterogeneity, clinical overlap, and a paucity of specific biomarkers. Their molecular definition is fundamental for prognostic and therapeutic purposes.
METHODS: We created an Italian LGMD registry that included 370 molecularly defined patients. We reviewed detailed retrospective and prospective data and compared each LGMD subtype for differential diagnosis purposes.
RESULTS: LGMD types 2A and 2B are the most frequent forms in Italy. The ages at disease onset, clinical progression, and cardiac and respiratory involvement can vary greatly between each LGMD subtype. In a set of extensively studied patients, targeted next-generation sequencing (NGS) identified mutations in 36.5% of cases.
CONCLUSION: Detailed clinical characterization combined with muscle tissue analysis is fundamental to guide differential diagnosis and to address molecular tests. NGS is useful for diagnosing forms without specific biomarkers, although, at least in our study cohort, several LGMD disease mechanisms remain to be identified. Muscle Nerve 55: 55-68, 2017.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  differential diagnosis; genotype-phenotype correlations; limb girdle muscular dystrophy; natural history; next-generation sequencing

Mesh:

Substances:

Year:  2016        PMID: 27184587     DOI: 10.1002/mus.25192

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  26 in total

1.  Diagnostic yield of multi-gene panel for muscular dystrophies and other hereditary myopathies.

Authors:  Pablo Brea Winckler; Bruna Cristine Chwal; Marco Antonnio Rocha Dos Santos; Daniela Burguêz; Marcia Polese-Bonatto; Edmar Zanoteli; Marina Siebert; Filippo Pinto E Vairo; Márcia Lorena Fagundes Chaves; Jonas Alex Morales Saute
Journal:  Neurol Sci       Date:  2022-02-17       Impact factor: 3.307

Review 2.  The ties that bind: functional clusters in limb-girdle muscular dystrophy.

Authors:  Elisabeth R Barton; Christina A Pacak; Whitney L Stoppel; Peter B Kang
Journal:  Skelet Muscle       Date:  2020-07-29       Impact factor: 4.912

3.  Exciting perspectives for Translational Myology in the Abstracts of the 2018Spring PaduaMuscleDays: Giovanni Salviati Memorial - Chapter II - Abstracts of March 15, 2018.

Authors:  Ugo Carraro
Journal:  Eur J Transl Myol       Date:  2018-02-20

4.  Genetic landscape and novel disease mechanisms from a large LGMD cohort of 4656 patients.

Authors:  Babi Ramesh Reddy Nallamilli; Samya Chakravorty; Akanchha Kesari; Alice Tanner; Arunkanth Ankala; Thomas Schneider; Cristina da Silva; Randall Beadling; John J Alexander; Syed Hussain Askree; Zachary Whitt; Lora Bean; Christin Collins; Satish Khadilkar; Pradnya Gaitonde; Rashna Dastur; Matthew Wicklund; Tahseen Mozaffar; Matthew Harms; Laura Rufibach; Plavi Mittal; Madhuri Hegde
Journal:  Ann Clin Transl Neurol       Date:  2018-12-01       Impact factor: 4.511

5.  Whole-exome sequencing identifies novel pathogenic mutations and putative phenotype-influencing variants in Polish limb-girdle muscular dystrophy patients.

Authors:  Jakub Piotr Fichna; Anna Macias; Marcin Piechota; Michał Korostyński; Anna Potulska-Chromik; Maria Jolanta Redowicz; Cezary Zekanowski
Journal:  Hum Genomics       Date:  2018-07-03       Impact factor: 4.639

6.  An AAV-SGCG Dose-Response Study in a γ-Sarcoglycanopathy Mouse Model in the Context of Mechanical Stress.

Authors:  David Israeli; Jérémie Cosette; Guillaume Corre; Fatima Amor; Jérôme Poupiot; Daniel Stockholm; Marie Montus; Bernard Gjata; Isabelle Richard
Journal:  Mol Ther Methods Clin Dev       Date:  2019-05-10       Impact factor: 6.698

Review 7.  A Journey with LGMD: From Protein Abnormalities to Patient Impact.

Authors:  Dimitra G Georganopoulou; Vasilis G Moisiadis; Firhan A Malik; Ali Mohajer; Tanya M Dashevsky; Shirley T Wuu; Chih-Kao Hu
Journal:  Protein J       Date:  2021-06-10       Impact factor: 2.371

8.  Clinical Determinants of Disease Progression in Patients With Beta-Sarcoglycan Gene Mutations.

Authors:  Giulia Bruna Marchetti; Luca Valenti; Yvan Torrente
Journal:  Front Neurol       Date:  2021-07-01       Impact factor: 4.003

Review 9.  Treating pediatric neuromuscular disorders: The future is now.

Authors:  James J Dowling; Hernan D Gonorazky; Ronald D Cohn; Craig Campbell
Journal:  Am J Med Genet A       Date:  2017-09-10       Impact factor: 2.802

10.  The clinical spectrum and genetic variability of limb-girdle muscular dystrophy in a cohort of Chinese patients.

Authors:  Liang Wang; Victor Wei Zhang; Shaoyuan Li; Huan Li; Yiming Sun; Jing Li; Yuling Zhu; Ruojie He; Jinfu Lin; Cheng Zhang
Journal:  Orphanet J Rare Dis       Date:  2018-08-14       Impact factor: 4.123

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