High-resolution melting (HRM) analysis as a feasible method for detecting spinal muscular atrophy via dried blood...

Spinal muscular atrophy (SMA) is a neurodegenerative disease with the leading genetic cause of infant mortality. More than 95% of patients with SMA have a homozygous disruption in the survival motor neuron1 (SMN1) gene, caused by mutation, deletion, or rearrangement. Recently, treatment in humans in the immediate postnatal period, prior to the development of weakness or very early in the course of the disease, may be effective. Therefore, our objective was to establish a feasible method for SMA screening. High-resolution melting (HRM) analysis is rapidly becoming the most important mutation-scanning methodology that allows mutation scanning and genotyping without the need for costly labeled oligonucleotides. In the current study, we aim to develop a method for identifying the substitution of single nucleotide in SMN1 exon 7 (c.840C>T) by HRM analysis.

Genomic DNA was extracted from peripheral blood samples and dried blood spots obtained from 30 patients with SMA and 30 normal individuals. All results were previously confirmed by denaturing high-performance liquid chromatography (DHPLC).

In order to identify the substitution of single nucleotide in SMN1 exon 7 (c.840C>T) by HRM analysis, a primer set was used in HRM analysis. At first, we failed to identify the substitution of single nucleotide in SMN1 exon 7 (c.840C>T) by HRM analysis because the homozygous CC and homozygous TT cannot be distinguished by HRM analysis. Therefore, all samples were mixed with a known SMN1/SMN2 copy number (SMN1/SMN2=0:3), which we may call driver. This strategy is used to differentiate between homozygous CC and homozygous TT. After mixing with driver, the melting profile of homozygous CC becomes heteroduplex; however, the homozygous TT remains the same in the normalized and temperature-shifted difference plots.

HRM analysis can be successfully applied to screen SMA via DNA obtained from whole blood and dried blood spots. We strongly believe that HRM analysis, a high-throughput method, could be used for identifying affected infants prior to the presentation of clinical symptoms in future.