Literature DB >> 32417793

Clinical Phenotypes of DMD Exon 51 Skip Equivalent Deletions: A Systematic Review.

Megan A Waldrop1,2, Rabah Ben Yaou3, Karin K Lucas4, Ann S Martin5, Erin O'Rourke4, Alessandra Ferlini6, Francesco Muntoni7,8, France Leturcq9, Sylvie Tuffery-Giraud10, Robert B Weiss11, Kevin M Flanigan1,2.   

Abstract

BACKGROUND: Eteplirsen, the first FDA-approved RNA-modifying therapy for DMD, is applicable to ∼13% of patients with DMD. Because multiple exonic deletions are amenable to exon 51 skipping, the isoforms resulting from the various exon 51-skipped transcripts may vary in stability, function, and phenotype. OBJECTIVE/
METHODS: We conducted a detailed review of dystrophinopathy published literature and unpublished databases to compile phenotypic features of patients with exon 51 "skip-equivalent" deletions.
RESULTS: Theoretically, 48 different in-frame transcripts may result from exon 51 skipping. We found sufficient clinical information on 135 patients carrying mutations that would result in production of 11 (23%) of these transcripts, suggesting the remainder have not been identified in vivo. The majority had mild phenotypes: BMD (n = 81) or isolated dilated cardiomyopathy (n = 3). Particularly interesting are the asymptomatic (n = 10) or isolated hyperCKemia (n = 20) patients with deletions of exons 45- 51, 48- 51, 49- 51 and 50- 51. Finally, 16 (12%) had more severe phenotypes described as intermediate (n = 2) or DMD (n = 14), and 6 reports had no definitive phenotype.
CONCLUSIONS: This review shows that the majority of exon 51 "skip-equivalent" deletions result in milder (BMD) phenotypes and supports that exon 51 skipping therapy could provide clinical benefit, although we acknowledge that other factors, such as age at treatment initiation or ongoing standard of care, may influence the degree of benefit.

Entities:  

Keywords:  BMD; DMD; eteplirsen; exon skipping; systematic review

Mesh:

Year:  2020        PMID: 32417793     DOI: 10.3233/JND-200483

Source DB:  PubMed          Journal:  J Neuromuscul Dis


  6 in total

1.  A Genotype-Phenotype Correlation Study of Exon Skip-Equivalent In-Frame Deletions and Exon Skip-Amenable Out-of-Frame Deletions across the DMD Gene to Simulate the Effects of Exon-Skipping Therapies: A Meta-Analysis.

Authors:  Saeed Anwar; Merry He; Kenji Rowel Q Lim; Rika Maruyama; Toshifumi Yokota
Journal:  J Pers Med       Date:  2021-01-14

2.  Genotype-Phenotype Correlations in Duchenne and Becker Muscular Dystrophy Patients from the Canadian Neuromuscular Disease Registry.

Authors:  Kenji Rowel Q Lim; Quynh Nguyen; Toshifumi Yokota
Journal:  J Pers Med       Date:  2020-11-23

3.  Duchenne Muscular Dystrophy: Genetic and Clinical Profile in the Population of Rajasthan, India.

Authors:  Manisha Goyal; Ashok Gupta; Kamlesh Agarwal; Seema Kapoor; Somesh Kumar
Journal:  Ann Indian Acad Neurol       Date:  2021-08-20       Impact factor: 1.383

4.  Developing antisense oligonucleotides for a TECPR2 mutation-induced, ultra-rare neurological disorder using patient-derived cellular models.

Authors:  Luis A Williams; David J Gerber; Amy Elder; Wei Chou Tseng; Valeriya Baru; Nathaniel Delaney-Busch; Christina Ambrosi; Gauri Mahimkar; Vaibhav Joshi; Himali Shah; Karthiayani Harikrishnan; Hansini Upadhyay; Sakthi H Rajendran; Aishwarya Dhandapani; Joshua Meier; Steven J Ryan; Caitlin Lewarch; Lauren Black; Julie Douville; Stefania Cinquino; Helen Legakis; Karsten Nalbach; Christian Behrends; Ai Sato; Lorenzo Galluzzi; Timothy W Yu; Duncan Brown; Sudhir Agrawal; David Margulies; Alan Kopin; Graham T Dempsey
Journal:  Mol Ther Nucleic Acids       Date:  2022-06-22       Impact factor: 10.183

5.  Novel Exon-Skipping Therapeutic Approach for the DMD Gene Based on Asymptomatic Deletions of Exon 49.

Authors:  Mario Abaji; Svetlana Gorokhova; Nathalie Da Silva; Tiffany Busa; Maude Grelet; Chantal Missirian; Sabine Sigaudy; Nicole Philip; France Leturcq; Nicolas Lévy; Martin Krahn; Marc Bartoli
Journal:  Genes (Basel)       Date:  2022-07-19       Impact factor: 4.141

6.  Large scale population screening for Duchenne muscular dystrophy-Predictable and unpredictable challenges.

Authors:  Gal Cohen; Atalia Shtorch-Asor; Shay Ben-Shachar; Racheli Goldfarb-Yaacobi; Meirav Kaiser; Revital Rosenfeld; Mika Vinovezky; Dana Irge; Yael Furman; Dafni Reiss; Shira Litz-Philipsborn; Rivka Sukenik-Halevy
Journal:  Prenat Diagn       Date:  2022-07-05       Impact factor: 3.242

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.