Evidence map›Paper›PMID 38597162›Full record

ArticleClinical chemistry2024

Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry Analysis of Urinary Oligosaccharides and Glycoamino Acids for the Diagnosis of Mucopolysaccharidosis and Glycoproteinosis.

Parith Wongkittichote, Se Hyun Cho, Artis Miller, Kaitlyn King, Zackary M Herbst, Zhimei Ren, Michael H Gelb, Xinying Hong

Open access · bronzeAbstract read
In one paragraph

Article in Clinical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Parith WongkittichoteDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.ORCID 0000-0002-7321-307X
Se Hyun ChoDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Artis MillerDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Kaitlyn KingDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Zackary M HerbstDepartment of Chemistry, University of Washington, Seattle, WA, United States.
Zhimei RenDepartment of Statistics and Data Science, The Wharton School of the University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-2872-5842
Michael H GelbDepartment of Chemistry, University of Washington, Seattle, WA, United States.
Xinying HongDepartment of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.ORCID 0000-0002-7517-5193
Children's Hospital of Philadelphia · USUniversity of Washington · USUniversity of Pennsylvania · US

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

backgroundMucopolysaccharidosis (MPS) and glycoproteinosis are 2 groups of heterogenous lysosomal storage disorders (LSDs) caused by defective degradation of glycosaminoglycans (GAGs) and glycoproteins, respectively. Oligosaccharides and glycoamino acids have been recognized as biomarkers for MPS and glycoproteinosis. Given that both groups of LSDs have overlapping clinical features, a multiplexed assay capable of unambiguous subtyping is desired for accurate diagnosis, and potentially for severity stratification and treatment monitoring.

methodsUrinary oligosaccharides were derivatized with 3-methyl-1-phenyl-2-pyrazoline-5-one (PMP) and analyzed by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) together with the underivatized glycoamino acids. Novel biomarkers were identified with a semi-targeted approach with precursor mass scanning, the fragmentation pattern (if applicable), and the biochemical basis of the condition.

resultsA UPLC-MS/MS analysis with improved chromatographic separation was developed. Novel biomarkers for MPS-IIIA, IIIB, IIIC, and VII were identified and validated. A total of 28 oligosaccharides, 2 glycoamino acids, and 2 ratios were selected as key diagnostic biomarkers. Validation studies including linearity, lower limit of quantitation (LLOQ), and precision were carried out with the assay performance meeting the required criteria. Age-specific reference ranges were collected. In the 76 untreated patients, unambiguous diagnosis was achieved with 100% sensitivity and specificity. Additionally, the levels of disease-specific biomarkers were substantially reduced in the treated patients.

conclusionsA multiplexed UPLC-MS/MS assay for urinary oligosaccharides and glycoamino acids measurement was developed and validated. The assay is suitable for the accurate diagnosis and subtyping of MPS and glycoproteinosis, and potentially for severity stratification and monitoring response to treatment.

Indexed as

BiomarkersGlycoproteinsMucopolysaccharidosesOligosaccharidesTandem Mass SpectrometryAdolescentAdultAmino AcidsChildChild, PreschoolChromatography, High Pressure LiquidFemaleHumansInfantMaleYoung AdultAmino AcidsBiomarkersGlycoproteinsOligosaccharides

Identifiers

PMID38597162
PMCPMC12677921
OpenAlexW4394675152

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Registered trials

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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.