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. 2013 Jun;21(6):630-6.
doi: 10.1038/ejhg.2012.233. Epub 2012 Oct 17.

Clinical and molecular cross-sectional study of a cohort of adult type III spinal muscular atrophy patients: clues from a biomarker study

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Clinical and molecular cross-sectional study of a cohort of adult type III spinal muscular atrophy patients: clues from a biomarker study

Francesco D Tiziano et al. Eur J Hum Genet. 2013 Jun.

Abstract

Proximal spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disorder caused by mutations of the SMN1 gene. Based on severity, three forms of SMA are recognized (types I-III). All patients usually have 2-4 copies of a highly homologous gene (SMN2), which produces insufficient levels of functional survival motor neuron (SMN) protein due to the alternative splicing of exon 7. The availability of potential candidates to the treatment of SMA has raised a number of issues, including the availability of biomarkers. This study was aimed at evaluating whether the quantification of SMN2 products in peripheral blood is a suitable biomarker for SMA. Forty-five adult type III patients were evaluated by Manual Muscle Testing, North Star Ambulatory Assessment scale, 6-min walk test, myometry, forced vital capacity, and dual X-ray absorptiometry. Molecular assessments included SMN2 copy number, levels of full-length SMN2 (SMN2-fl) transcripts and those lacking exon 7 and SMN protein. Clinical outcome measures strongly correlated to each other. Lean body mass correlated inversely with years from diagnosis and with several aspects of motor performance. SMN2 copy number and SMN protein levels were not associated with motor performance or transcript levels. SMN2-fl levels correlated with motor performance in ambulant patients. Our results indicate that SMN2-fl levels correlate with motor performance only in patients preserving higher levels of motor function, whereas motor performance was strongly influenced by disease duration and lean body mass. If not taken into account, the confounding effect of disease duration may impair the identification of potential SMA biomarkers.

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Figures

Figure 1
Figure 1
Scatter plots showing associations between total MRC score and (a) force of knee flexions in Newtons (n=30, R=0.74, P<0.00001); (b) Forced vital capacity (% of predicted) (n=45, R=0.28, P=0.06); (c) NSAA score (n=26, R=0.77, P<0.00001); and (d) 6-min walk test (meters, n=26, R=0.67, P=0.0002). Straight line: expected distribution; flanking lines, 95% confidence limits; black lines: limits of distribution. (a) and (b) refers to the whole cohort, whereas (c) and (d) to ambulant patients only.
Figure 2
Figure 2
Scatter plots showing associations between time from diagnosis and (a) total MRC score (n=45, R=−0.57, P<0.00001) and (b) NSAA score (n=26, R=−0.48, P=0.01); associations between lean body mass/height and (c) total MRC (n=20, R=0.66, P=0.0015), and (d) NSAA (n=11, R=0.71, P=0.006). Straight line, expected distribution; flanking lines, 95% confidence limits; black lines: limits of distribution. (a) and (c) refers to the whole cohort, whereas (b) and (d) to ambulant patients only.
Figure 3
Figure 3
Scatter plots showing associations of SMN2-fl transcript levels in ambulant patients with (a) total MRC score (n=26, R=0.46, P=0.02), (b) lower limb MRC score (n=26, R=0.49, P=0.01), and (c) 6-min walk test (n=26, R=0.37, P=0.07). Straight line: expected distribution; flanking lines: 95% confidence limits; black lines: limits of distribution.
Figure 4
Figure 4
Scatter plots showing associations of levels of SMN protein in peripheral blood with (a) SMN2-fl transcript levels (n=43, R=0.23, P=0.18), and (b) the SMN2-fl/SMN2-delta7 ratio (n=43, R=0.40, P=0.016). Straight line, expected distribution; flanking lines, 95% confidence limits; black lines: limits of distribution.

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