Literature DB >> 27665240

Unravelling the myotonic dystrophy type 1 clinical spectrum: A systematic registry-based study with implications for disease classification.

M De Antonio1, C Dogan2, D Hamroun3, M Mati2, S Zerrouki2, B Eymard4, S Katsahian5, G Bassez6.   

Abstract

The broad clinical spectrum of myotonic dystrophy type 1 (DM1) creates particular challenges for both medical care and design of clinical trials. Clinical onset spans a continuum from birth to late adulthood, with symptoms that are highly variable in both severity and nature of the affected organ systems. In the literature, this complex phenotype is divided into three grades (mild, classic, and severe) and four or five main clinical categories (congenital, infantile/juvenile, adult-onset and late-onset forms), according to symptom severity and age of onset, respectively. However, these classifications are still under discussion with no consensus thus far. While some specific clinical features have been primarily reported in some forms of the disease, there are no clear distinctions. As a consequence, no modifications in the management of healthcare or the design of clinical studies have been proposed based on the clinical form of DM1. The present study has used the DM-Scope registry to assess, in a large cohort of DM1 patients, the robustness of a classification divided into five clinical forms. Our main aim was to describe the disease spectrum and investigate features of each clinical form. The five subtypes were compared by distribution of CTG expansion size, and the occurrence and onset of the main symptoms of DM1. Analyses validated the relevance of a five-grade model for DM1 classification. Patients were classified as: congenital (n=93, 4.5%); infantile (n=303, 14.8%); juvenile (n=628, 30.7%); adult (n=694, 34.0%); and late-onset (n=326, 15.9%). Our data show that the assumption of a continuum from congenital to the late-onset form is valid, and also highlights disease features specific to individual clinical forms of DM1 in terms of symptom occurrence and chronology throughout the disease course. These results support the use of the five-grade model for disease classification, and the distinct clinical profiles suggest that age of onset and clinical form may be key criteria in the design of clinical trials when considering DM1 health management and research.
Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Clinical trials; Disease classification; Healthcare; Medical care; Myotonic dystrophy; Myotonic dystrophy type 1; Rare diseases; Registry; Steinert disease

Mesh:

Year:  2016        PMID: 27665240     DOI: 10.1016/j.neurol.2016.08.003

Source DB:  PubMed          Journal:  Rev Neurol (Paris)        ISSN: 0035-3787            Impact factor:   2.607


  55 in total

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Journal:  Neurol Sci       Date:  2019-02-25       Impact factor: 3.307

Review 2.  Modifiers of CAG/CTG Repeat Instability: Insights from Mammalian Models.

Authors:  Vanessa C Wheeler; Vincent Dion
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Review 3.  Myotonic dystrophy: disease repeat range, penetrance, age of onset, and relationship between repeat size and phenotypes.

Authors:  Kevin Yum; Eric T Wang; Auinash Kalsotra
Journal:  Curr Opin Genet Dev       Date:  2017-02-14       Impact factor: 5.578

4.  Myotonic dystrophy type 1 (DM1) clinical subtypes and CTCF site methylation status flanking the CTG expansion are mutant allele length-dependent.

Authors:  Fernando Morales; Eyleen Corrales; Baili Zhang; Melissa Vásquez; Carolina Santamaría-Ulloa; Hazel Quesada; Mario Sirito; Marcos R Estecio; Darren G Monckton; Ralf Krahe
Journal:  Hum Mol Genet       Date:  2021-12-27       Impact factor: 5.121

5.  An Integrative Analysis of DNA Methylation Pattern in Myotonic Dystrophy Type 1 Samples Reveals a Distinct DNA Methylation Profile between Tissues and a Novel Muscle-Associated Epigenetic Dysregulation.

Authors:  Emma Koehorst; Renato Odria; Júlia Capó; Judit Núñez-Manchón; Andrea Arbex; Miriam Almendrote; Ian Linares-Pardo; Daniel Natera-de Benito; Verónica Saez; Andrés Nascimento; Carlos Ortez; Miguel Ángel Rubio; Jordi Díaz-Manera; Jorge Alonso-Pérez; Giuseppe Lucente; Agustín Rodriguez-Palmero; Alba Ramos-Fransi; Alicia Martínez-Piñeiro; Gisela Nogales-Gadea; Mònica Suelves
Journal:  Biomedicines       Date:  2022-06-10

6.  Hormonal and metabolic gender differences in a cohort of myotonic dystrophy type 1 subjects: a retrospective, case-control study.

Authors:  M Spaziani; A Semeraro; E Bucci; F Rossi; M Garibaldi; M A Papassifachis; C Pozza; A Anzuini; A Lenzi; G Antonini; A F Radicioni
Journal:  J Endocrinol Invest       Date:  2019-11-30       Impact factor: 4.256

Review 7.  Myotonic Dystrophies: Targeting Therapies for Multisystem Disease.

Authors:  Samantha LoRusso; Benjamin Weiner; W David Arnold
Journal:  Neurotherapeutics       Date:  2018-10       Impact factor: 7.620

Review 8.  The diagnosis of dementias: a practical tool not to miss rare causes.

Authors:  Camilla Ferrari; Benedetta Nacmias; Sandro Sorbi
Journal:  Neurol Sci       Date:  2017-12-02       Impact factor: 3.307

9.  Cancer Risk in Myotonic Dystrophy Type I: Evidence of a Role for Disease Severity.

Authors:  Rotana Alsaggaf; Diane Marie M St George; Min Zhan; Ruth M Pfeiffer; Youjin Wang; Kathryn R Wagner; Mark H Greene; Sania Amr; Shahinaz M Gadalla
Journal:  JNCI Cancer Spectr       Date:  2018-12-10

10.  Cognitive function and its relationship with brain structure in myotonic dystrophy type 1.

Authors:  Kathleen E Langbehn; Ellen van der Plas; David J Moser; Jeffrey D Long; Laurie Gutmann; Peggy C Nopoulos
Journal:  J Neurosci Res       Date:  2020-02-13       Impact factor: 4.164

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