Evidence map›Paper›PMID 39944056›Full record

ArticleGenetics in medicine open2025

College of American Pathologists (CAP)/American College of Medical Genetics and Genomics (ACMG) proficiency testing for urinary glycosaminoglycan analysis: A summary of performance.

Kristina Cusmano-Ozog, Dietrich Matern, Thomas Long, Nicola Longo, Sarah Young

Abstract read
In one paragraph

Article in Genetics in medicine open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kristina Cusmano-OzogDepartment of Pathology, Stanford University School of Medicine, Palo Alto, CA.
Dietrich MaternDepartment of Laboratory Medicine and Pathology, Biochemical Genetics Laboratory, Mayo Clinic, Rochester, MN.
Thomas LongDepartment of Biostatistics, College of American Pathologists, Northfield, IL.
Nicola LongoDivision of Clinical Genetics, Department of Human Genetics, University of California Los Angeles, Los Angeles, CA.
Sarah YoungDivision of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Glycosaminoglycans (GAGs) accumulate in patients with mucopolysaccharidoses (MPS), multiple sulfatase deficiency, and mucolipidoses; measurement of total GAGs and the specific excretion pattern by fractionation can aid in their diagnosis. Since 1993, the College of American Pathologists with the American College of Medical Genetics and Genomics has offered proficiency testing (PT) for urine GAG analysis accessible to laboratories worldwide. Methods: Data from PT surveys administered from 2016 to 2022 were assessed for trends in participation and methodological platforms used, as well as analytical performance and diagnostic accuracy by method and disease. Results: The number of participating laboratories declined from 43 in 2016 to 28 in 2022. Fourteen urine samples with clinical vignettes were distributed; the median of correct diagnoses reported was 91.5% (range: 74%-100%). The best performing methodologies for total GAG analysis and fractionation were dimethylmethylene blue-dye-binding spectrophotometric assay and liquid chromatography-tandem mass spectrometry, respectively. MPS IV samples posed the greatest diagnostic challenge, whereas the overall false-positive rate was low. Conclusion: Based on the data reviewed, best patient care for those at risk of an MPS is achieved by a combination of total GAG analysis and GAG fractionation. Development of liquid-chromatography-tandem-mass-spectrometry-based methods for quantitative, differentiated GAG analysis or disease-specific GAG-derived nonreducing end oligosaccharide fragments in combination with multiplexed lysosomal enzyme assays will likely improve diagnostic accuracy. The decline of laboratories participating in PT is concerning because MPS are increasingly included in newborn screening programs and urinary GAGs can be used to monitor the effectiveness of new therapies.

Indexed as

GlycosaminoglycansLysosomal disordersMucopolysaccharidosesProficiency testing

Identifiers

PMID39944056
PMCPMC11814667

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