Evidence map›Paper›PMID 39645522›Full record

ArticleMolecular genetics and metabolism2025

High precision newborn screening for mucopolysaccharidosis type I by enzymatic activity followed by endogenous, non-reducing end glycosaminoglycan analysis.

Zackary M Herbst, Francyne Kubaski, Laura Pollard, Khaja Basheeruddin, Barbara Burton, Joseph Orsini, Matthew Henderson, Pranesh Chakraborty, Michael H Gelb

Abstract read
In one paragraph

Article in Molecular genetics and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zackary M HerbstDepartments of Chemistry, University of Washington, Seattle, WA 98195, USA; GelbChem, LLC, Seattle, WA 98195, USA.
Francyne KubaskiGreenwood Genetic Center, Biochemical Genetics Laboratory, Greenwood, SC 29646, USA.
Laura PollardGreenwood Genetic Center, Biochemical Genetics Laboratory, Greenwood, SC 29646, USA.
Khaja BasheeruddinNewborn Screening Laboratory, Illinois Department of Public Health, Chicago, IL 60612, USA.
Barbara BurtonDivision of Genetics, Genomics & Metabolism, Ann & Robert H. Lurie Children's Hospital of Chicago and Feinberg School ofMedicine, Northwestern University, Chicago, IL 60611, USA.
Joseph OrsiniDavid Axelrod Institute, Newborn Screening Program, Wadsworth Center, New York State Department of Health, Albany, NY 12201-2002, USA.
Matthew HendersonChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
Pranesh ChakrabortyChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
Michael H GelbDepartments of Chemistry, University of Washington, Seattle, WA 98195, USA. Electronic address: gelb@uw.edu.

Funding

Multiplex Analysis of Inborn Errors of MetabolismR01DK067859 · NIDDK · UNIVERSITY OF WASHINGTON · PI GELB, MICHAEL H · 2003 to 2025
$9.8M
NIDDK NIH HHS R01 DK067859
6 · The paper itself

Abstract

Measurement of enzymatic activity in newborn dried blood spots (DBS) is the preferred first-tier method in newborn screening (NBS) for mucopolysaccharidosis (MPS) disorders. However, false positives are observed due mainly to the presence of pseudodeficiencies. Our previous publications on glycosaminoglycan (GAG) biomarker levels in dried blood spots (DBS) for mucopolysaccharidoses demonstrated that second-tier GAG biomarker analysis can dramatically reduce the false positive rate in NBS. In the present study, we extend this approach to the analysis of a large number of false positives for MPS-I obtained from the Illinois, New York, and Tennessee NBS programs and from Greenwood Genetics Center. Results show that GAG levels measured by the Endogenous-Non-Reducing End method (Endogenous-NRE) are in the normal reference range for all samples. In a second study, we analyzed 166 samples that showed below-cutoff MPS-I enzymatic activity level after testing 384,144 newborns in the Ontario, Canada NBS program. Both genotype and Endogenous-NRE GAG levels were determined for all 166 samples. Newborns at high risk for MPS-I based on genotype also showed elevated GAG levels and were clinically confirmed to be symptomatic for MPS-I. All newborns with pseudodeficiency or carrier status by genotyping all showed normal levels of the appropriate GAG biomarker. Samples found to be inconclusive based on one or more variants of unknown significance (VUS) all showed normal GAG biomarker levels and were found to be clinically normal during follow-up. These studies show that the Endogenous-NRE GAG second-tier NBS method is preferred over second-tier DNA analysis for the NBS of MPS-I with minimal false positives.

Indexed as

GlycosaminoglycansMucopolysaccharidosis INeonatal ScreeningBiomarkersDried Blood Spot TestingGenotypeHumansInfant, NewbornBiomarkersGlycosaminoglycansBiochemical geneticsFalse positivesGlycosaminoglycansHunter syndromeLysosomal storage diseaseMass spectrometryMucopolysaccharidosisNewborn screeningScheie syndrome

Identifiers

PMID39645522
PMCPMC12017804

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.