Literature DB >> 12242541

Correlation between SMN2 copy number and clinical phenotype of spinal muscular atrophy: three SMN2 copies fail to rescue some patients from the disease severity.

Yosuke Harada1, Retno Sutomo, Ahmad Hamim Sadewa, Tomoko Akutsu, Yasuhiro Takeshima, Hiroko Wada, Masafumi Matsuo, Hisahide Nishio.   

Abstract

Spinal muscular atrophy (SMA) is a common autosomal recessive neuromuscular disorder that is characterized by degeneration of the anterior horn cells of the spinal cord, which leads to the axial and limb weakness associated with muscle atrophy. SMA is classified into three groups based on the clinical severity: type I (severe), type II (intermediate) and type III (mild). All three clinical subtypes of SMA are caused by mutations of the SMN1 gene. More than 95 % of SMA patients show homozygous deletion of SMN1. It is thought that SMN2, which is a highly homologous gene of SMN1, compensates for the SMN1 deletion to some degree. To clarify the relationship between SMN2 and the disease severity of SMA, we performed fluorescence-based quantitative polymerase chain reaction assay of the copy number of SMN2 in 27 patients (11 type I and 16 type II-III) homozygous for SMN1 deletion. The SMN2 copy number in type II-III patients was 3.1 +/- 0.3 (mean +/- SD), which is significantly higher than that observed in type I patients, 2.2 +/- 0.6 (P < 0.01). However, three of the 11 type I patients carried 3 SMN2 copies. A type I patient with 3 SMN2 copies was studied further. RT-PCR analysis of the patient showed a trace of full-length SMN2 mRNA species, but a large amount of the truncated SMN2 mRNA species lacking exon 7. In conclusion, SMN2 alleles are not functionally equivalent among SMA patients, although in general the SMN2 copy number is correlated with the severity of SMA. Genetic background influencing splicing mechanisms of the SMN2 gene may be more critical in some SMA patients.

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Year:  2002        PMID: 12242541     DOI: 10.1007/s00415-002-0811-4

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  27 in total

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Authors:  Kay-Marie Lamar; Elizabeth M McNally
Journal:  J Neuromuscul Dis       Date:  2014

2.  Single-Cell Analysis of SMN Reveals Its Broader Role in Neuromuscular Disease.

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Journal:  Cell Rep       Date:  2017-02-07       Impact factor: 9.423

Review 3.  Small Molecules in Development for the Treatment of Spinal Muscular Atrophy.

Authors:  Alyssa N Calder; Elliot J Androphy; Kevin J Hodgetts
Journal:  J Med Chem       Date:  2016-08-16       Impact factor: 7.446

4.  Drug treatment for spinal muscular atrophy types II and III.

Authors:  Renske I Wadman; W Ludo van der Pol; Wendy Mj Bosboom; Fay-Lynn Asselman; Leonard H van den Berg; Susan T Iannaccone; Alexander Fje Vrancken
Journal:  Cochrane Database Syst Rev       Date:  2020-01-06

5.  Therapeutic developments in spinal muscular atrophy.

Authors:  Douglas M Sproule; Petra Kaufmann
Journal:  Ther Adv Neurol Disord       Date:  2010-05       Impact factor: 6.570

Review 6.  Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease.

Authors:  David N Cooper; Michael Krawczak; Constantin Polychronakos; Chris Tyler-Smith; Hildegard Kehrer-Sawatzki
Journal:  Hum Genet       Date:  2013-07-03       Impact factor: 4.132

7.  A new method for SMN1 and hybrid SMN gene analysis in spinal muscular atrophy using long-range PCR followed by sequencing.

Authors:  Yuji Kubo; Hisahide Nishio; Kayoko Saito
Journal:  J Hum Genet       Date:  2015-02-26       Impact factor: 3.172

8.  Neurotransmitter release in motor nerve terminals of a mouse model of mild spinal muscular atrophy.

Authors:  Rocío Ruiz; Lucía Tabares
Journal:  J Anat       Date:  2013-03-13       Impact factor: 2.610

Review 9.  SMN regulation in SMA and in response to stress: new paradigms and therapeutic possibilities.

Authors:  Catherine E Dominguez; David Cunningham; Dawn S Chandler
Journal:  Hum Genet       Date:  2017-08-29       Impact factor: 4.132

10.  Optimization of a series of heterocycles as survival motor neuron gene transcription enhancers.

Authors:  Sungwoon Choi; Alyssa N Calder; Eliza H Miller; Kierstyn P Anderson; Dawid K Fiejtek; Anne Rietz; Hongxia Li; Jonathan J Cherry; Kevin M Quist; Xuechao Xing; Marcie A Glicksman; Gregory D Cuny; Christian L Lorson; Elliot A Androphy; Kevin J Hodgetts
Journal:  Bioorg Med Chem Lett       Date:  2017-10-26       Impact factor: 2.823

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