ArticleJournal of the American Society for Mass Spectrometry2021
Clinically Viable Assay for Monitoring Uromodulin Glycosylation.
Article in Journal of the American Society for Mass Spectrometry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Identification and characterization of intact glycopeptides in human urine.Scientific reports · 2024Article
- Tamm-Horsfall protein in humane urine: sex-dependent differences in the excretion and N-glycosylation pattern.Scientific reports · 2023Article
- Microheterogeneity and Individual Differences of Human UrinaryBiomolecules · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Uromodulin, also known as the Tamm-Horsfall protein or THP, is the most abundant protein excreted in human urine. It is associated with the progression of kidney diseases; therefore, changes in the glycosylation profile of this protein could serve as a potential biomarker for kidney health. The typical glycomics analysis approaches used to quantify uromodulin glycosylation involve time-consuming and tedious glycoprotein isolation and labeling steps, which limit their utility in clinical glycomics assays, where sample throughput is important. Herein, we introduce a radically simplified sample preparation workflow, with direct ESI-MS analysis, enabling the quantification of N-linked glycans that originate from uromodulin. The method omits any glycan labeling steps but includes steps to reduce the salt content of the samples, thereby minimizing ion suppression. The method is effective for quantifying subtle glycosylation differences of uromodulin samples derived from different biological states. As a proof of concept, glycosylation from samples that differ by pregnancy status were shown to be differentiable.
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