Gamma-Hydroxybutyrate content in dried bloodspots facilitates newborn detection of succinic semialdehyde dehydrogenase deficiency

Madalyn Brown, Paula Ashcraft, Erland Arning, Teodoro Bottiglieri, Jean Baptiste Roullet, K. Michael Gibson

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Increased gamma-hydroxybutyric acid in urine and blood are metabolic hallmarks of succinic semialdehyde dehydrogenase deficiency, a defect of 4-aminobutyric acid metabolism. Here, we examined the hypothesis that succinic semialdehyde dehydrogenase deficiency could be identified via measurement of gamma-hydroxybutyric acid in newborn and post-newborn dried bloodspots. Quantitation of gamma-hydroxybutyric acid using liquid chromatography-tandem mass spectrometry in twelve archival newborn patient dried bloodspots was 360 ± 57 μM (mean, standard error; range 111–767), all values exceeding the previously established cutoff for newborn detection of 78 μΜ established from 2831 dried bloodspots derived from newborns, neonates and children. Gamma-hydroxybutyric acid in post-newborn dried bloodspots (n = 19; ages 0.8–38 years) was 191 ± 65 μM (mean, standard error; range 20–1218), exceeding the aforementioned GHB cutoff for patients approximately 10 years of age or younger. Further, gamma-hydroxybutyric acid in post-newborn dried bloodspots displayed a significant (p < .0001) inverse correlation with age. This preliminary study suggests that succinic semialdehyde dehydrogenase deficiency may be identified in newborn and post-newborn dried bloodspots via quantitation of gamma-hydroxybutyric acid, while forming the platform for more extensive studies in affected and unaffected dried bloodspots.

Original languageEnglish (US)
Pages (from-to)109-112
Number of pages4
JournalMolecular Genetics and Metabolism
Volume128
Issue number1-2
DOIs
StatePublished - Sep 1 2019

Keywords

  • Dried bloodspots
  • GABA metabolism
  • Gamma-hydroxybutyric acid
  • Newborn screening

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Molecular Biology
  • Genetics
  • Endocrinology

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