Biochemical signatures of disease severity in multiple sulfatase deficiency

Laura A. Adang, Samar Mowafy, Zackary M. Herbst, Zitao Zhou, Lars Schlotawa, Karthikeyan Radhakrishnan, Brenna Bentley, Vi Pham, Emily Yu, Nishitha R. Pillai, Paul J. Orchard, Mauricio De Castro, Adeline Vanderver, Marzia Pasquali, Michael H. Gelb, Rebecca C. Ahrens-Nicklas

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Sulfatases catalyze essential cellular reactions, including degradation of glycosaminoglycans (GAGs). All sulfatases are post-translationally activated by the formylglycine generating enzyme (FGE) which is deficient in multiple sulfatase deficiency (MSD), a neurodegenerative lysosomal storage disease. Historically, patients were presumed to be deficient of all sulfatase activities; however, a more nuanced relationship is emerging. Each sulfatase may differ in their degree of post-translational modification by FGE, which may influence the phenotypic spectrum of MSD. Here, we evaluate if residual sulfatase activity and accumulating GAG patterns distinguish cases from controls and stratify clinical severity groups in MSD. We quantify sulfatase activities and GAG accumulation using three complementary methods in MSD participants. Sulfatases differed greatly in their tolerance of reduction in FGE-mediated activation. Enzymes that degrade heparan sulfate (HS) demonstrated lower residual activities than those that act on other GAGs. Similarly, HS-derived urinary GAG subspecies preferentially accumulated, distinguished cases from controls, and correlated with disease severity. Accumulation patterns of specific sulfatase substrates in MSD provide fundamental insights into sulfatase regulation and will serve as much-needed biomakers for upcoming clinical trials. This work highlights that biomarker investigation of an ultra-rare disease can simultaneously inform our understanding of fundamental biology and advance clinical trial readiness efforts.

Original languageEnglish (US)
Pages (from-to)374-386
Number of pages13
JournalJournal of Inherited Metabolic Disease
Volume47
Issue number2
DOIs
StatePublished - Mar 2024

Bibliographical note

Publisher Copyright:
© 2023 SSIEM.

Keywords

  • biomarker
  • inborn errors of metabolism
  • leukodystrophy
  • lysosomal storage disorders

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural

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