ArticleBMC ophthalmology2024
Quantitative urinary proteome analysis reveals potential biomarkers for disease activity of Behcet's disease uveitis.
Article in BMC ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- S100 proteins in IgA vasculitis and other systemic vasculitides - from pathogenic mechanisms to clinical biomarkers: a systematic review.Frontiers in immunology · 2026Pooled it
- Multi‑omics insights into uveitis: From mechanisms to precision medicine (Review).International journal of molecular medicine · 2026Review
- Biomarkers in Primary Systemic Vasculitides: Narrative Review.International journal of molecular sciences · 2026Review
- Artificial Intelligence-Driven Proteomics Identifies Plasma Protein Signatures for Diagnosis and Stratification of Behçet's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Clinical glycoproteomics: methods and diseases.MedComm · 2024Review
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Authors and funding
6 authors.
Funding
Abstract
purposeBehçet's disease-associated uveitis (BDU) is a severe, recurrent inflammatory condition affecting the eye and is part of a systemic vasculitis with unknown etiology, making biomarker discovery essential for disease management. In this study, we intend to investigate potential urinary biomarkers to monitor the disease activity of BDU.
methodsFirstly, label-free data-dependent acquisition (DDA) and tandem mass tag (TMT)-labeled quantitative proteomics methods were used to profile the proteomes of urine from active and quiescent BDU patients, respectively. For further exploration, the remaining fifty urine samples were analyzed by a data-independent acquisition (DIA) quantitative proteomics method.
resultsTwenty-nine and 21 differential proteins were identified in the same urine from BDU patients by label-free DDA and TMT-labeled analyses, respectively. Seventy-nine differentially expressed proteins (DEPs) were significantly changed in other active BDU urine samples compared to those in quiescent BDU urine samples by IDA analysis. Gene Ontology (GO) and protein-protein interaction (PPI) analyses revealed that the DEPs were associated with multiple functions, including the immune and neutrophil activation responses. Finally, seven proteins were identified as candidate biomarkers for BDU monitoring and recurrence prediction, namely, CD38, KCRB, DPP4, FUCA2, MTPN, S100A8 and S100A9.
conclusionsOur results showed that urine can be a good source of biomarkers for BDU. These dysregulated proteins provide potential urinary biomarkers for BDU activity monitoring and provide valuable clues for the analysis of the pathogenic mechanisms of BDU.
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