Next Article in Journal
A Newborn Screening Education Best Practices Framework: Development and Adoption
Next Article in Special Issue
Duchenne Muscular Dystrophy Newborn Screening: Evaluation of a New GSP® Neonatal Creatine Kinase-MM Kit in a US and Danish Population
Previous Article in Journal
Sickle Cell Disease—Genetics, Pathophysiology, Clinical Presentation and Treatment
Previous Article in Special Issue
Including Classical Galactosaemia in the Expanded Newborn Screening Panel Using Tandem Mass Spectrometry for Galactose-1-Phosphate
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Validation of a Fast, Robust, Inexpensive, Two-Tiered Neonatal Screening Test algorithm on Dried Blood Spots for Spinal Muscular Atrophy

1
Department of Clinical Chemistry and Neonatal Screening, Isala Hospital, Dokter van Heesweg 2, 8025 AB Zwolle, The Netherlands
2
MRC-Holland, Willem Schoutenstraat 1, 1057 DL Amsterdam, The Netherlands
3
Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands
4
Department of Genetics, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
*
Author to whom correspondence should be addressed.
Int. J. Neonatal Screen. 2019, 5(2), 21; https://doi.org/10.3390/ijns5020021
Submission received: 10 April 2019 / Revised: 7 May 2019 / Accepted: 13 May 2019 / Published: 15 May 2019
(This article belongs to the Special Issue Selected Papers from 11th ISNS European Regional Meeting)

Abstract

:
Spinal muscular atrophy (SMA) is one of the leading genetic causes of infant mortality with an incidence of 1:10,000. The recently-introduced antisense oligonucleotide treatment improves the outcome of this disease, in particular when applied at an early stage of progression. The genetic cause of SMA is, in >95% of cases, a homozygous deletion of the survival motor neuron 1 (SMN1) gene, which makes the low-cost detection of SMA cases as part of newborn screening programs feasible. We developed and validated a new SALSA MC002 melting curve assay that detects the absence of the SMN1 exon 7 DNA sequence without detecting asymptomatic carriers and reliably discriminates SMN1 from its genetic homolog SMN2 using crude extracts from newborn screening cards. Melting curve analysis shows peaks specific for both the SMN1 gene and the disease modifying SMN2 homolog. The detection of the SMN2 homolog, of which the only clinically relevant difference from the SMN1 gene is a single nucleotide in exon 7, was only used to confirm a correct reaction in samples that lacked the SMN1 gene, and not for SMN2 quantification. We retrieved 47 DBS samples from children with genetically-confirmed SMA, after informed consent from parents, and 375 controls from the national archive of the Dutch National Institute for Public Health and the Environment (RIVM). The assay correctly identified all anonymized and randomized SMA and control samples (i.e., sensitivity and specificity of 100%), without the detection of carriers, on the three most commonly-used PCR platforms with melting curve analysis. This test’s concordance with the second-tier ‘golden standard’ P021 SMA MLPA test was 100%. Using the new P021–B1 version, crude extracts from DBS cards could also be used to determine the SMN2 copy number of SMA patients with a high level of accuracy. The MC002 test showed the feasibility and accuracy of SMA screening in a neonatal screening program.

1. Introduction

Spinal muscular atrophy (SMA) is a leading genetic cause of infant mortality [1]. SMA is an autosomal recessive disease, characterized by muscle weakness and atrophy, caused by the degeneration of the neuronal cells in the anterior horn of the spinal cord [2]. In the vast majority of patients, SMA is caused by a homozygous deletion of at least exon 7 of the survival motor neuron 1 (SMN1) gene [3,4]. The human genome also contains a highly identical SMN1 gene homologue, called SMN2 [3,5]. The exonic sequence of the SMN1 and SMN2 genes differs only by two nucleotides, of which the C-to-T substitution in exon 7 is critical, as it leads to the omission of exon 7 in the majority of transcripts due to splicing events [6,7]. Exon 7 is spliced out of up to 90% of SMN2 mRNAs, resulting in a non-functional protein [8,9]. The remaining 10% of SMN2 mRNAs however, are spliced correctly, resulting in a full-length protein that is identical to SMN1. Therefore, in SMA patients lacking a functional SMN1 gene, a small, yet insufficient, amount of functional SMN protein is produced. The SMN2 copy number varies between patients, and a higher gene copy number is correlated to a milder phenotype [10].
Recently, a therapeutic agent, nusinersen (Spinraza™), has become available. Nusinersen is an antisense oligonucleotide that modulates alternate splicing of SMN2, leading to the inclusion of exon 7, thereby increasing the amount of functional SMN protein [11]. Clinical trials have shown that the administration of nusinersen increases the number of motor milestones achieved [12,13], although the cost-effectiveness and long-term benefits are still under debate. For optimal performance, nusinersen should be administered presymptomatically, preferably shortly after birth [14]. It therefore becomes increasingly important to screen neonates as soon as possible for SMA, preferably as part of a nationwide neonatal screening program. This screening method should furthermore reliably detect the SMN2 copy number, as this determines the neonates’ eligibility for nusinersen administration [14]. A rapid, reliable, and cost-effective screening method is therefore needed to accommodate the high throughput of samples.
We developed a simple melting curve-based assay for SMA newborn screening that only requires a qPCR instrument and standard laboratory equipment. A single probe is used to generate three potential melt peaks: A peak each for SMN1 and SMN2, and a DNA quantity peak (Q-fragment). An absence of the SMN1 peak identifies SMA patients, and the SMN2 peak provides an internal control for a successful reaction, as complete absence of SMN1 and SMN2 is lethal and every individual has at least one SMN1 or one SMN2 gene copy. The Q-fragment provides a measure for the amount of input-DNA. For independent confirmation of the absence of SMN1, and for SMN2 copy number determination, the MLPA technique is used [15,16,17]. In a retrospective study, we tested the accuracy and reliability on DBS (dry blood spot) material of this screening algorithm and show here its feasibility for use in a neonatal screening program.

2. Materials and Methods

2.1. Samples

For this study, a total of 422 newborn DBS samples were acquired from the national archive of the Dutch National Institute for Public Health and the Environment (RIVM). All samples were originally obtained for the regular Dutch newborn screening program. The SMA samples and the negative controls were both collected from the years 2012–2018 (see Table 1). Parents of the SMA patients born in this time period were asked for written consent for the use of the DBS cards. For all samples used in the present study, written consent was provided. This study was conducted in accordance with the Declaration of Helsinki, and the protocol, with project identification code 17-622/C, was approved by the Medical Ethics Committee of the University Medical Center Utrecht on 6 September 2017. The DBS samples, 47 SMA patients and 375 random negative controls, were anonymized and randomized at the RIVM, and sent to Isala Hospital Zwolle. From each DBS sample, one 1.5 mm and one 3.2 mm punch were collected. The 1.5 mm punches were used for melting curve (MC) analysis, and the 3.2 mm punches were used for MLPA analysis. A blank punch was taken between each sample to reduce the risk of contamination.
For test development and the analytical performance testing of the first-tier melt curve assay, DBS samples were used that were spotted with peripheral blood from a healthy adult control.

2.2. Extraction

Extraction was based on a previously-described DNA extraction method for DBS screening cards [18]. Each 1.5 mm punch was immersed in 30 µL of 10 mM NaOH in a 96-well PCR plate and heated for 15 min at 99 °C in a regular thermocycler with a heated lid. The crude extracts obtained could be used for the first-tier MC002 test without further purification. For the second-tier MLPA assay, extracts from the 3.2 mm punches were used. Each punch was first incubated for 15 min at room temperature (RT) in 100 µL of 10 mM NaOH in a PCR plate with intermittent gentle shaking. After discarding the liquid, this wash was repeated. Finally, the punches were heated for 15 min at 99 °C in 50 µL 10 mM NaOH in a regular thermocycler with a heated lid, and the crude extracts obtained from this process were used for MLPA analysis without further purification.

2.3. Screening

The DBS samples were screened using a two-tiered approach. In the first-tier, the absence of SMN1 exon 7 was detected with a melt curve assay, branded SALSA® MC002 SMA Newborn Screen (MC002 SMA) (MRC–Holland, Amsterdam, The Netherlands). The MC002 SMA assay contained a primer set that asymmetrically amplified a part of exon 7 that included the c.840C>A polymorphism, which distinguished SMN1 exon 7 from SMN2 exon 7. PCR amplification of exon 7 of the SMN1 and SMN2 genes was followed by a Cy5-labelled fluorescent probe, binding to the amplicons and generating a melt curve (Figure 1). The fluorescence was only measured during the melt curve generation. The assay also contained an oligonucleotide that comprised the same SMN-specific region, but which contained multiple mismatches with the probe, and therefore generated a third melting curve pattern. This oligonucleotide was titrated to produce a peak only when a very small amount of input-DNA was used. Absence of the SMN1-specific melt peak at 63 °C was indicative of the absence of the SMN1 exon 7 DNA sequence. The presence of an SMN1 (63 °C) and/or SMN2 (56 °C)-specific melt peak, and an absent or low signal for the quantity (Q)-fragment-specific melt peak (49 °C) indicated a successful assay performance and the use of sufficient sample DNA. In each 96-well microtiter plate run, two reactions on blank DBS cards were included (containing no DNA). Furthermore, two reactions were included on each of the two synthetic DNA samples (SD074 and SD075) that were included in each MC002 SMA kit.
The SD074 threshold DNA sample had a ratio SMN1:SMN2 = 1:5 and generated a high SMN2-specific melt peak at ~56 °C and a low, but clearly visible, SMN1-specific melt peak at ~63 °C. The SD075 positive DNA sample generated a high SMN2-specific melt peak and had a complete absence of the SMN1-specific melt peak.
The melt curve assays were performed on the LightCycler 480 (Roche Molecular Systems, Pleasanton, CA, USA), CFX96 Touch (Bio–Rad, Hercules, CA, USA), and QuantStudio 5 (Thermo Fisher Scientific, Waltham, MA, USA) instruments.
In the second-tier MLPA assay, the absence or presence of the SMN1 exon 7 was confirmed in all positive samples and negative samples, using the MLPA kit P021–B1 SMA (MRC–Holland), according to the manufacturer’s instructions and using 5 µL crude extract from a 3.2 mm punch.

2.4. Input Range

To test the input range of MC002, a total of 3 µL of adult blood was pipetted on 1.5 mm DBS card punches. The 3 µL blood was either not diluted (saturated), or 4, 6 and 8 times diluted in advance. For a measurement of oversaturation of a DBS card, 6 µL of blood was pipetted on the DBS card punches. In addition to the oversaturated samples, four decreasing amounts of input blood were also tested: saturated, 4 times diluted, 6 times diluted, and 8 times diluted. Four replicates were tested for each amount of input blood sample.

2.5. Data Analysis

For each melt curve, the first derivative was obtained and inspected. The results of MC002 SMA reactions were examined through visual inspection by two individuals. The reactions with a clear SMN2 peak at 56 °C, but lacking an SMN1-specific peak at 63 °C or with an SMN1-specific peak that was lower than the peak in the SD074 threshold DNA reactions, were selected for subjection to the second-tier MLPA test. The reactions were repeated when the Q-fragment melt peak at 49 °C was the highest peak present. Dedicated data analysis software was not yet available at the time of these validation experiments. For the MLPA assays, Coffalyser.Net software (MRC–Holland, Amsterdam, The Netherlands) was used for data analysis.

3. Results

3.1. Melt Curve Assay Screening Data

The melt curve profiles of a total of 422 anonymized and randomized samples were analyzed. Samples were considered SMA-positive when the SMN1 peak pattern was absent in the presence of an SMN2 pattern (Figure 2).
Of the 422 samples, 47 samples were found to lack copies of the SMN1 exon 7, which indicates a potential SMA patient. All 422 samples were further analyzed using the MLPA kit P021–B1 SMA. The MLPA results entirely matched the melt curve results. All results also matched the original diagnosis. Table 2 provides an overview of these results.
On the LightCycler 480 instrument, out of the 422 samples tested, 7 samples needed to be retested due to unreliable initial results (such as a high Q-fragment, see Figure 2). Upon retesting, the results for these samples could be interpreted. On the CFX96 Touch, two samples needed to be retested and on the QuantStudio5, no samples needed retesting. SMA carriers were not detected in the first-tier analysis (Figure 3).

3.2. Input Range

To test the input range of MC002, increasingly-lower amounts of input DNA were analyzed using MC002 for spotting diluted blood samples on DBS cards. The increasingly lower amount of input DNA is reflected in the increasing fluorescent signal of the Q-fragment peak (Figure 4). Next to the diluted samples, oversaturated DBS cards were analyzed. Due to the quenching effect that blood has on the fluorescent signal of the Cy5 fluorochrome, lower signals were present in the oversaturated sample compared to the diluted samples, despite more DNA being present.

3.3. SMN2 Copy Number Determination

As well as confirming of the absence of the SMN1 exon 7, the second-tier MLPA method was also used for SMN2 copy number determination on the DBS samples. The MLPA kit P021–B1 SMA was used for this, as it is best suited with its higher accuracy for SMN2 copy number determination compared to the widely-used P060–B2 MLPA assay, due to the inclusion of seven additional probes for the SMN1/2 exons 7 and 8. All negative controls were also tested by MLPA. Table 3 provides an overview of the SMN2 copy number as determined by MLPA. After completion of all validation experiments, SMN2 copy numbers of SMA patients were compared with the SMN2 copy numbers previously determined in peripheral blood for diagnostic purposes by the University Medical Centre Utrecht (UMCU). For 3 out of 43 SMA patients, a different SMN2 copy number was found between the UMCU results and the present validation study. For four out of 47 SMA patients, no SMN2 data were available at the UMCU.

4. Discussion

This study shows that by using a two-tiered system, SMA patients can be detected with a very high reliability and at low costs in a neonatal screening program. The second-tier P021–B1 MLPA assay can also provide early SMN2 copy number determination from DBS, to determine eligibility for treatment.
The first-tier melt curve assay, MC002 SMA, showed an analytical sensitivity and specificity of 100% for the detection of homozygous SMN1 exon 7 deletions. This assay can provide results within a few hours after receiving a DBS card, requiring a minimal amount of input-DNA. In one run, 90 samples can be tested with up to 2–3 runs per day on a single PCR platform, allowing for the high throughput of samples that is required for screening purposes. MC002 did not require DNA purification and is in compliance with Dutch regulations concerning neonatal screening, as it entails a qualitative approach that does not detect carriers. By designing the SMN1 peak to have the highest melt temperature, the risk of false negatives as a result of a genetic variation-induced shift of peaks is mitigated. Genetic variation in the sequence detected by the probe will always result in a lower melting temperature. Genetic variation in the PCR primer sequence may result in a false positive, but never in a false negative screening result. The number of samples that qualify for the second-tier MLPA test is very low. Out of 375 control samples used in this survey, none qualified for the second-tier test.
This retrospective validation study correctly identified all anonymized SMA and control samples. It should be kept in mind, however, that simple first-tier screening assays like MC002 are not able to detect rare SMA-causing genetic aberrations other than the homozygous deletion of exon 7. Early detection by DNA analysis of these patients is extremely complicated, due to the SMN2 pseudogene, and not feasible as part of a newborn screening program. In practice, this means that 2–5% of SMA patients will not be detected by the two-tiered melting curve and MLPA systems described here.
The second-tier MLPA assay, P021–B1, was also shown to have a diagnostic sensitivity and specificity of 100% for the detection of homozygous exon 7 deletions using crude lysates from DBS cards. Second-tier MLPA testing thereby highly reduces the risk of detecting false positives. Based on results obtained during this clinical performance study, it was shown that the P021–B1 assay can also be reliably used for SMN2 copy number quantification on DBS material. This SMN2 copy number detection is important for determining the eligibility of SMA patients for nusinersen treatment [14]. The MLPA retests were generally performed when the SMN2 copy number results indicating more than two copies were ambiguous due to the sample quality. No MLPA reactions had to be repeated to confirm the absence of SMN1 exon 7 copies.
As per Dutch regulation [19], the first-tier melting curve assay was designed to minimize detection of carriers, as carrier detection can potentially harm families [20]. This was achieved by using a single probe for the detection of both SMN1 and SMN2, which only indicated the ratio between the copy number of these two genes. This excluded the detection of carriers with an SMN1:SMN2 ratio comparable to non-carriers (i.e., 1:1 vs. 2:2, or 1:2 vs. 2:4, see Figure 2). Carriers with high numbers of SMN2 copies could potentially stand out upon visual inspection. However, carrier status cannot be definitively determined without follow-up testing, and only the very rare samples with an SMN2:SMN1 ratio equal to or higher than five qualified for the second-tier MLPA test.
Several methods have been tested for their suitability as newborn screening assays. Previously-described approaches include real-time quantitative PCR [21,22], droplet digital PCR [23], competitive oligonucleotide priming PCR [24,25], and next generation sequencing [26]. A major difference is that, in contrast to other assays, Melt Assay MC002 does not detect carriers. Furthermore, it differs from other methods in its cost-effectiveness (€ 2.50–€ 4.00 per sample), requirement of a very simple DNA extraction without washing steps, easy-to-use protocol, and short turn-around time. Furthermore, only a small amount of material, a 1.5 mm punch, is sufficient for clear results. Alternatively, 2–5% of the DNA sample that is extracted for SCID analysis can be used for this melt assay.
Initially, for 3 out of 43 SMA positive samples, a different SMN2 copy number was found compared to the copy number found in diagnoses of peripheral blood as performed at the UMCU. Upon reanalysis by the UMCU, the same SMN2 copy number was found for one SMA patient as detected during the present study. A reanalysis of the two remaining samples is pending at the UMCU.

5. Conclusions

The first-tier melt curve MC002 assay in combination with the second-tier P021–B1 MLPA assay showed feasibility and accuracy for SMA screening in a neonatal screening program to detect SMA patients, and can be used for early determination of an SMN2 copy number. The melt curve MC002 and the P021–B1 MLPA assays are CE–IVD-certified as of October 2018, and are Research Use Only assays outside of the European Union.

Author Contributions

Conceptualization, A.S., A.A., A.R.S., C.H., E.M.S., R.S., J.S., W.L.v.d.P., and H.E.; methodology, A.S., A.A., A.R.S., C.H., J.S., W.L.v.d.P., and H.E.; validation, A.S., A.A., A.R.S. and C.H.; formal analysis, A.S., A.A., C.H., R.S., and H.E.; investigation, A.S., A.A., A.R.S., and C.H.; resources, J.S. and H.E.; data curation, A.S., A.A., C.H., and R.S.; writing—original draft preparation, A.S. and R.S.; writing—review and editing, A.A., J.S., I.C., H.L., W.L.v.d.P., and H.E.; visualization, A.S., C.H., and R.S; supervision, H.E.; project administration, A.S., R.S., F.-L.A., and H.E.; funding acquisition, W.L.v.d.P. and H.E.

Funding

This research received no external funding.

Acknowledgments

The authors wish to thank the National Research Committee for Neonatal Screening-RIVM for approval of this clinical validation study and the Reference Laboratory for Neonatal Screening-RIVM and the Dept. for Vaccine Supply and Prevention Programmes-RIVM (RIVM, Bilthoven, The Netherlands) for providing the Dried Blood Spots of the SMA patients and control samples. All MC002 and P021 MLPA kits were provided in kind by MRC-Holland.

Conflicts of Interest

Authors A.R.S., C.H., E.M.S., and R.S. are employees at MRC-Holland. Author J.S. is a founder and co-owner of MRC-Holland. All other authors declare no conflict of interest.

References

  1. Darras, B.T. Spinal muscular atrophies. Pediatr. Clin. N. Am. 2015, 62, 743–766. [Google Scholar]
  2. Kolb, S.J.; Kissel, J.T. Spinal Muscular Atrophy. Neurol. Clin. 2015, 33, 831–846. [Google Scholar]
  3. Lefebvre, S.; Burglen, L.; Reboullet, S.; Clermont, O.; Burlet, P.; Viollet, L.; Benichou, B.; Cruaud, C.; Millasseau, P.; Zeviani, M.; et al. Identification and characterization of a spinal muscular atrophy-determining gene. Cell 1995, 80, 155–165. [Google Scholar]
  4. Verhaart, I.E.C.; Robertson, A.; Leary, R.; McMacken, G.; Konig, K.; Kirschner, J.; Jones, C.C.; Cook, S.F.; Lochmuller, H. A multi-source approach to determine SMA incidence and research ready population. J. Neurol. 2017, 264, 1465–1473. [Google Scholar]
  5. Singh, R.N.; Singh, N.N. Mechanism of Splicing Regulation of Spinal Muscular Atrophy Genes. Adv. Neurobiol. 2018, 20, 31–61. [Google Scholar]
  6. Lorson, C.L.; Hahnen, E.; Androphy, E.J.; Wirth, B. A single nucleotide in the SMN gene regulates splicing and is responsible for spinal muscular atrophy. Proc. Natl. Acad. Sci. USA 1999, 96, 6307–6311. [Google Scholar]
  7. Monani, U.R.; Lorson, C.L.; Parsons, D.W.; Prior, T.W.; Androphy, E.J.; Burghes, A.H.; McPherson, J.D. A single nucleotide difference that alters splicing patterns distinguishes the SMA gene SMN1 from the copy gene SMN2. Hum. Mol. Genet. 1999, 8, 1177–1183. [Google Scholar]
  8. Burnett, B.G.; Munoz, E.; Tandon, A.; Kwon, D.Y.; Sumner, C.J.; Fischbeck, K.H. Regulation of SMN protein stability. Mol. Cell. Biol. 2009, 29, 1107–1115. [Google Scholar]
  9. Cartegni, L.; Hastings, M.L.; Calarco, J.A.; de Stanchina, E.; Krainer, A.R. Determinants of exon 7 splicing in the spinal muscular atrophy genes, SMN1 and SMN2. Am. J. Hum. Genet. 2006, 78, 63–77. [Google Scholar]
  10. Mailman, M.D.; Heinz, J.W.; Papp, A.C.; Snyder, P.J.; Sedra, M.S.; Wirth, B.; Burghes, A.H.; Prior, T.W. Molecular analysis of spinal muscular atrophy and modification of the phenotype by SMN2. Genet. Med. 2002, 4, 20–26. [Google Scholar]
  11. Zanetta, C.; Riboldi, G.; Nizzardo, M.; Simone, C.; Faravelli, I.; Bresolin, N.; Comi, G.P.; Corti, S. Molecular, genetic and stem cell-mediated therapeutic strategies for spinal muscular atrophy (SMA). J. Cell. Mol. Med. 2014, 18, 187–196. [Google Scholar]
  12. Finkel, R.S.; Chiriboga, C.A.; Vajsar, J.; Day, J.W.; Montes, J.; De Vivo, D.C.; Yamashita, M.; Rigo, F.; Hung, G.; Schneider, E.; et al. Treatment of infantile-onset spinal muscular atrophy with nusinersen: A phase 2, open-label, dose-escalation study. Lancet 2016, 388, 3017–3026. [Google Scholar]
  13. Finkel, R.S.; Mercuri, E.; Darras, B.T.; Connolly, A.M.; Kuntz, N.L.; Kirschner, J.; Chiriboga, C.A.; Saito, K.; Servais, L.; Tizzano, E.; et al. Nusinersen versus Sham Control in Infantile-Onset Spinal Muscular Atrophy. N. Engl. J. Med. 2017, 377, 1723–1732. [Google Scholar]
  14. Glascock, J.; Sampson, J.; Haidet-Phillips, A.; Connolly, A.; Darras, B.; Day, J.; Finkel, R.; Howell, R.R.; Klinger, K.; Kuntz, N.; et al. Treatment Algorithm for Infants Diagnosed with Spinal Muscular Atrophy through Newborn Screening. J. Neuromuscular Dis. 2018, 5, 145–158. [Google Scholar]
  15. Arkblad, E.L.; Darin, N.; Berg, K.; Kimber, E.; Brandberg, G.; Lindberg, C.; Holmberg, E.; Tulinius, M.; Nordling, M. Multiplex ligation-dependent probe amplification improves diagnostics in spinal muscular atrophy. Neuromuscular Disord. 2006, 16, 830–838. [Google Scholar]
  16. Bai, J.; Qu, Y.; Cao, Y.; Yang, L.; Ge, L.; Jin, Y.; Wang, H.; Song, F. The SMN1 common variant c.22 dupA in Chinese patients causes spinal muscular atrophy by nonsense-mediated mRNA decay in humans. Gene 2018, 644, 49–55. [Google Scholar]
  17. Wadman, R.I.; Stam, M.; Jansen, M.D.; van der Weegen, Y.; Wijngaarde, C.A.; Harschnitz, O.; Sodaar, P.; Braun, K.P.; Dooijes, D.; Lemmink, H.H.; et al. A Comparative Study of SMN Protein and mRNA in Blood and Fibroblasts in Patients with Spinal Muscular Atrophy and Healthy Controls. PLoS ONE 2016, 11, e0167087. [Google Scholar]
  18. Lefterova, M.I.; Shen, P.; Odegaard, J.I.; Fung, E.; Chiang, T.; Peng, G.; Davis, R.W.; Wang, W.; Kharrazi, M.; Schrijver, I.; et al. Next-Generation Molecular Testing of Newborn Dried Blood Spots for Cystic Fibrosis. J. Mol. Diagn. 2016, 18, 267–282. [Google Scholar]
  19. Health Council of the Netherlands. Neonatal Screening: New Recommendations. Available online: https://www.healthcouncil.nl/documents/advisory-reports/2015/04 (accessed on 10 April 2019).
  20. Parsons, E.P.; Bradley, D.M. Psychosocial issues in newborn screening for cystic fibrosis. Paediatr. Respir. Rev. 2003, 4, 285–292. [Google Scholar] [CrossRef]
  21. Taylor, J.L.; Lee, F.K.; Yazdanpanah, G.K.; Staropoli, J.F.; Liu, M.; Carulli, J.P.; Sun, C.; Dobrowolski, S.F.; Hannon, W.H.; Vogt, R.F. Newborn blood spot screening test using multiplexed real-time PCR to simultaneously screen for spinal muscular atrophy and severe combined immunodeficiency. Clin. Chem. 2015, 61, 412–419. [Google Scholar]
  22. Chien, Y.H.; Chiang, S.C.; Weng, W.C.; Lee, N.C.; Lin, C.J.; Hsieh, W.S.; Lee, W.T.; Jong, Y.J.; Ko, T.M.; Hwu, W.L. Presymptomatic Diagnosis of Spinal Muscular Atrophy Through Newborn Screening. J. Pediatr. 2017, 190, 124–129. [Google Scholar]
  23. Vidal-Folch, N.; Gavrilov, D.; Raymond, K.; Rinaldo, P.; Tortorelli, S.; Matern, D.; Oglesbee, D. Multiplex Droplet Digital PCR Method Applicable to Newborn Screening, Carrier Status, and Assessment of Spinal Muscular Atrophy. Clin. Chem. 2018, 64, 1753–1761. [Google Scholar]
  24. Ar Rochmah, M.; Harahap, N.I.F.; Niba, E.T.E.; Nakanishi, K.; Awano, H.; Morioka, I.; Iijima, K.; Saito, T.; Saito, K.; Lai, P.S.; et al. Genetic screening of spinal muscular atrophy using a real-time modified COP-PCR technique with dried blood-spot DNA. Brain Dev. 2017, 39, 774–782. [Google Scholar]
  25. Kato, N.; Sa’Adah, N.; Ar Rochmah, M.; Harahap, N.I.; Nurputra, D.K.; Sato, H.; Sadewa, A.H.; Astuti, I.; Haryana, S.M.; Saito, T.; et al. SMA screening system using dried blood spots on filter paper: application of COP-PCR to the SMN1 deletion test. Kobe J. Med. Sci. 2015, 60, E78–E85. [Google Scholar]
  26. Kraszewski, J.N.; Kay, D.M.; Stevens, C.F.; Koval, C.; Haser, B.; Ortiz, V.; Albertorio, A.; Cohen, L.L.; Jain, R.; Andrew, S.P.; et al. Pilot study of population-based newborn screening for spinal muscular atrophy in New York state. Genet. Med. Off. J. Am. Coll. Med. Genet. 2018, 20, 608–613. [Google Scholar]
Figure 1. Summary of assay steps. (A) The exon 7 regions of SMN1 and SMN2 are amplified with a single set of primers, with one primer in excess. (B) A fluorescently-labelled probe binds to the amplicons. (C) The resulting melt curve indicates the SMN1 and SMN2 sequence presence and DNA quantity.
Figure 1. Summary of assay steps. (A) The exon 7 regions of SMN1 and SMN2 are amplified with a single set of primers, with one primer in excess. (B) A fluorescently-labelled probe binds to the amplicons. (C) The resulting melt curve indicates the SMN1 and SMN2 sequence presence and DNA quantity.
Ijns 05 00021 g001
Figure 2. Patient identification—melting curve (MC) results. The purple lines represent normal samples, as determined by the presence of an SMN1 peak. The red lines show an absence of an SMN1 peak, identifying a spinal muscular atrophy (SMA) patient. The blue lines represent no DNA control reactions, which results in a high quantity (Q)-fragment. The profiles were acquired on the CFX96 Touch PCR-platform.
Figure 2. Patient identification—melting curve (MC) results. The purple lines represent normal samples, as determined by the presence of an SMN1 peak. The red lines show an absence of an SMN1 peak, identifying a spinal muscular atrophy (SMA) patient. The blue lines represent no DNA control reactions, which results in a high quantity (Q)-fragment. The profiles were acquired on the CFX96 Touch PCR-platform.
Ijns 05 00021 g002
Figure 3. No carrier identification. The orange lines represent samples containing 1 copy of SMN2 and 1 copy of SMN1 (SMA carrier). The green lines represent samples containing 2 copies of SMN2 and 2 copies of SMN1. The profiles were acquired on the BioRad CFX96 PCR-platform.
Figure 3. No carrier identification. The orange lines represent samples containing 1 copy of SMN2 and 1 copy of SMN1 (SMA carrier). The green lines represent samples containing 2 copies of SMN2 and 2 copies of SMN1. The profiles were acquired on the BioRad CFX96 PCR-platform.
Ijns 05 00021 g003
Figure 4. The melting curve profiles for different amounts of DBS cards derived from input blood. Profiles were acquired on the BioRad CFX96 PCR-platform.
Figure 4. The melting curve profiles for different amounts of DBS cards derived from input blood. Profiles were acquired on the BioRad CFX96 PCR-platform.
Ijns 05 00021 g004
Table 1. Characteristics of DBS cards.
Table 1. Characteristics of DBS cards.
Year of BirthSMA PatientsNegative Controls
20121275
20131350
2014650
2015750
2016450
2017350
2018250
Total:47375
Table 2. The number of SMA positive and negative control samples tested using MC PCR-platform and the MLPA kit P021–B1.
Table 2. The number of SMA positive and negative control samples tested using MC PCR-platform and the MLPA kit P021–B1.
Sample CountMC—LightCycler 480MC—CFX96 TouchMC—QuantStudio 5MLPA—P021
SMA positive samples4747474747
Negative controls375375375375375
Retested samples 5 (1.2%)2 (0.5%)1 (0.2%)17 (4.0%)
MC: Melting curve, MLPA: Multiplex ligase dependent probe amplification.
Table 3. SMN copy number for all tested DBS samples.
Table 3. SMN copy number for all tested DBS samples.
SMN2 exon7
01234Total
SMN1exon70011327647
1032409
22413516571332
3314121030
4211004
Total29154193397422

Share and Cite

MDPI and ACS Style

Strunk, A.; Abbes, A.; Stuitje, A.R.; Hettinga, C.; Sepers, E.M.; Snetselaar, R.; Schouten, J.; Asselman, F.-L.; Cuppen, I.; Lemmink, H.; et al. Validation of a Fast, Robust, Inexpensive, Two-Tiered Neonatal Screening Test algorithm on Dried Blood Spots for Spinal Muscular Atrophy. Int. J. Neonatal Screen. 2019, 5, 21. https://doi.org/10.3390/ijns5020021

AMA Style

Strunk A, Abbes A, Stuitje AR, Hettinga C, Sepers EM, Snetselaar R, Schouten J, Asselman F-L, Cuppen I, Lemmink H, et al. Validation of a Fast, Robust, Inexpensive, Two-Tiered Neonatal Screening Test algorithm on Dried Blood Spots for Spinal Muscular Atrophy. International Journal of Neonatal Screening. 2019; 5(2):21. https://doi.org/10.3390/ijns5020021

Chicago/Turabian Style

Strunk, Annuska, Andre Abbes, Antoine R. Stuitje, Chris Hettinga, Eline M. Sepers, Reinier Snetselaar, Jan Schouten, Fay-Lynn Asselman, Inge Cuppen, Henny Lemmink, and et al. 2019. "Validation of a Fast, Robust, Inexpensive, Two-Tiered Neonatal Screening Test algorithm on Dried Blood Spots for Spinal Muscular Atrophy" International Journal of Neonatal Screening 5, no. 2: 21. https://doi.org/10.3390/ijns5020021

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop