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Objective: Tandem mass spectrometry (MS/MS) is being used for newborn screening since this laboratory testing technology increases the number of metabolic disorders that can be detected from dried blood-spot specimens. In the Community of Madrid, it was implemented in March 2011 and it includes 13 aminoacidopathies, fatty acid oxidation disorders and organic acidemias. The aim of this study was to describe our experience and evaluate the screening positive cases in a period of 9 years (2011-2019)., Methods: During the period of the study, a total of 592.822 neonates were screened with this expanded program by MS/MS in the Community of Madrid. Amino acids, acylcarnitines, and succinylacetone were quantified in all samples that met the quality criteria. Means, medians, percentiles and standard deviation of the analytes and ratios of interest were calculated., Results: 901 patients (0,15 %) with a positive screening test were referred to clinical evaluation. 230 patients were diagnosed of 30 different inborn errors of metabolism (prevalence 1:2577), 11 of which were not included as a target in the Community of Madrid newborn screening program. The global positive predictive value was 25,6 %. During this period of time, two false negative cases were detected. The most prevalent disorders were phenylketonuria/hyperphenylalaninemia and medium chain acyl-CoA dehydrogenase deficiency (1:6444 and 1:13174 respectively). 93 % of the patients were detected in the presymptomatic stage., Conclusions: During the last 9 years a large number of cases of IEM have been detected with an acceptable global positive predictive value. These results confirm the utility of inborn errors of metabolism newborn screening as a public health program., Competing Interests: Disclosure The authors report no conflicts of interest in this work.

Niemann-Pick type C (NPC) disease is a rare inherited disease, with progressive neurodegeneration as the main symptom. It is a lysosomal storage disorder caused by mutations in NPC1 or NPC2 genes, leading to a lysosomal cholesterol trafficking impairment. Disease indicators are the clinical suspicion and biomarker levels. However, a genetic study is mandatory for the diagnosis, which is complicated due to the different variants with unknown significance. The aim of this work was to identify the variants responsible for NPC in our pediatric population. Twenty-two samples from non-related infants believed to have NPC disease were analyzed during the last 3 years. Surrogate biomarkers of the disease were evaluated whenever possible. Sanger sequencing for both genes is reported for all samples. Complementary genetic studies were performed when necessary. NPC disease was confirmed in 31.8% of subjects due to homozygous or compound heterozygous genetic variants in NPC1. The following four novel variants were identified: a gross deletion variant composed of the gene promoter and the first exon, NM_000271.3:c.385delT, NM_000271.3:c.1553+1342_1655-291del, and NM_000271.3:c.1757delA. None had functional activity and all resulted in important structural changes in the protein.

The present work describes the value of genetic analysis as a confirmatory measure following the detection of suspected inborn errors of metabolism in the Spanish newborn mass spectrometry screening program. One hundred and forty-one consecutive DNA samples were analyzed by next-generation sequencing using a customized exome sequencing panel. When required, the Illumina extended clinical exome panel was used, as was Sanger sequencing or transcriptional profiling. Biochemical tests were used to confirm the results of the genetic analysis. Using the customized panel, the metabolic disease suspected in 83 newborns (59%) was confirmed. In three further cases, two monoallelic variants were detected for two genes involved in the same biochemical pathway. In the remainder, either a single variant or no variant was identified. Given the persistent absence of biochemical alterations, carrier status was assigned in 39 cases. False positives were recorded for 11. In five cases in which the biochemical pattern was persistently altered, further genetic analysis allowed the detection of two variants affecting the function of BCAT2, ACSF3, and DNAJC12, as well as a second, deep intronic variant in ETFDH or PTS. The present results suggest that genetic analysis using extended next-generation sequencing panels can be used as a confirmatory test for suspected inborn errors of metabolism detected in newborn screening programs. Biochemical tests can be very helpful when a diagnosis is unclear. In summary, simultaneous genomic and metabolomic analyses can increase the number of inborn errors of metabolism that can be confirmed following suggestive newborn screening results.