Literature DB >> 30061628

Disease and subtype specific signatures enable precise diagnosis of the mucopolysaccharidoses.

Jennifer T Saville1, Belinda K McDermott1, Janice M Fletcher1,2, Maria Fuller3,4.   

Abstract

PURPOSE: Expanding treatments for the mucopolysaccharidoses-a family of genetic disorders-place unprecedented demands for accurate, timely diagnosis because best outcomes are seen with early initiation of appropriate therapies. Here we sought to improve the diagnostic odyssey by measuring specific glycosaminoglycan fragments with terminal residues complicit with the genetic defect resulting in precise diagnosis rather than the usual first-line, ambiguous total glycosaminoglycan determinations that return poor diagnostic yield.
METHODS: A derivatizing reagent was added to urine aliquots (0.5 μmol creatinine) before separation of the glycosaminoglycan fragments by liquid chromatography and quantification with electrospray ionization-tandem mass spectrometry using multiple reaction monitoring for 10 targeted fragments plus the internal standard.
RESULTS: All 93 mucopolysaccharidosis patients were correctly identified as 1 of 10 subtypes from a total of 723 de-identified subjects-blinded to diagnosis-based on the presence of specific "signature" glycosaminoglycan fragments. Employing reference intervals calculated from 630 unaffected urines, with 99% confidence intervals, provided a laboratory test with 100% specificity and sensitivity.
CONCLUSION: This novel urine assay allows diagnosis of 10 mucopolysaccharidosis subtypes in a single test. The precise quantification of unique glycosaminoglycan fragments also enables longitudinal biochemical monitoring following therapeutic interventions.

Entities:  

Keywords:  diagnosis; mucopolysaccharidosis; urine glycosaminoglycan

Mesh:

Substances:

Year:  2018        PMID: 30061628     DOI: 10.1038/s41436-018-0136-z

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  1 in total

1.  Diagnostic test for mucopolysaccharidosis. I. Direct method for quantifying excessive urinary glycosaminoglycan excretion.

Authors:  C B Whitley; M D Ridnour; K A Draper; C M Dutton; J P Neglia
Journal:  Clin Chem       Date:  1989-03       Impact factor: 8.327

  1 in total
  13 in total

1.  Detecting lysosomal storage disorders by glycomic profiling using liquid chromatography mass spectrometry.

Authors:  Justin Mak; Tina M Cowan
Journal:  Mol Genet Metab       Date:  2021-08-21       Impact factor: 4.204

2.  A case study of three patients with mucopolysaccharidoses in Hue Central Hospital.

Authors:  Tran Kiem Hao; Nguyen Thi Diem Chi; Nguyen Thi Hong Duc; Nguyen Thi Kim Hoa
Journal:  SAGE Open Med Case Rep       Date:  2020-06-29

3.  Recommendations for the management of MPS IVA: systematic evidence- and consensus-based guidance.

Authors:  Mehmet Umut Akyol; Tord D Alden; Hernan Amartino; Jane Ashworth; Kumar Belani; Kenneth I Berger; Andrea Borgo; Elizabeth Braunlin; Yoshikatsu Eto; Jeffrey I Gold; Andrea Jester; Simon A Jones; Cengiz Karsli; William Mackenzie; Diane Ruschel Marinho; Andrew McFadyen; Jim McGill; John J Mitchell; Joseph Muenzer; Torayuki Okuyama; Paul J Orchard; Bob Stevens; Sophie Thomas; Robert Walker; Robert Wynn; Roberto Giugliani; Paul Harmatz; Christian Hendriksz; Maurizio Scarpa
Journal:  Orphanet J Rare Dis       Date:  2019-06-13       Impact factor: 4.123

4.  Functional assessment of the genetic findings indicating mucopolysaccharidosis type II in the prenatal setting.

Authors:  Maria Fuller; David Ketteridge
Journal:  JIMD Rep       Date:  2021-03-26

Review 5.  Biomarkers for Lysosomal Storage Disorders with an Emphasis on Mass Spectrometry.

Authors:  Ryuichi Mashima; Torayuki Okuyama; Mari Ohira
Journal:  Int J Mol Sci       Date:  2020-04-14       Impact factor: 5.923

Review 6.  Molecular Bases of Neurodegeneration and Cognitive Decline, the Major Burden of Sanfilippo Disease.

Authors:  Rachel Heon-Roberts; Annie L A Nguyen; Alexey V Pshezhetsky
Journal:  J Clin Med       Date:  2020-01-27       Impact factor: 4.241

Review 7.  Mucopolysaccharidosis Type I.

Authors:  Francyne Kubaski; Fabiano de Oliveira Poswar; Kristiane Michelin-Tirelli; Ursula da Silveira Matte; Dafne D Horovitz; Anneliese Lopes Barth; Guilherme Baldo; Filippo Vairo; Roberto Giugliani
Journal:  Diagnostics (Basel)       Date:  2020-03-16

8.  Molecular Characterization of a Novel Splicing Mutation underlying Mucopolysaccharidosis (MPS) type VI-Indirect Proof of Principle on Its Pathogenicity.

Authors:  Maria Francisca Coutinho; Marisa Encarnação; Liliana Matos; Lisbeth Silva; Diogo Ribeiro; Juliana Inês Santos; Maria João Prata; Laura Vilarinho; Sandra Alves
Journal:  Diagnostics (Basel)       Date:  2020-01-21

Review 9.  Diagnosis of Mucopolysaccharidoses.

Authors:  Francyne Kubaski; Fabiano de Oliveira Poswar; Kristiane Michelin-Tirelli; Maira Graeff Burin; Diana Rojas-Málaga; Ana Carolina Brusius-Facchin; Sandra Leistner-Segal; Roberto Giugliani
Journal:  Diagnostics (Basel)       Date:  2020-03-22

10.  Evaluation of Multiple Methods for Quantification of Glycosaminoglycan Biomarkers in Newborn Dried Blood Spots from Patients with Severe and Attenuated Mucopolysaccharidosis-I.

Authors:  Zackary M Herbst; Leslie Urdaneta; Terri Klein; Maria Fuller; Michael H Gelb
Journal:  Int J Neonatal Screen       Date:  2020-08-26
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