biostudies-literatureQin WNational Natural Science Foundation of ChinaClinical Research Fund of Beijing Municipal Science and Technology CommissionBeijing Natural Science Foundation277https://www.ebi.ac.uk/biostudies/studies/S-EPMC11232131biostudies-literatureUnknown24(1)<h4>Purpose</h4>Behçet'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.<h4>Methods</h4>Firstly, 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.<h4>Results</h4>Twenty-nine and 21 differential proteins were identifiedBMC ophthalmologyQuantitative urinary proteome analysis reveals potential biomarkers for disease activity of Behcet's disease uveitis.PMC11232131719217482000881Z171100001017217Zhao CGao YHan XZhang MQin WLiang AfalseQuantitative urinary proteome analysis reveals potential biomarkers for disease activity of Behcet's disease uveitis.<h4>Purpose</h4>Behçet'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.<h4>Methods</h4>Firstly, 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.<h4>Results</h4>Twenty-nine and 21 differential proteins were identified2024-01-01T00:00:00Z2024 Jul2026-04-19T03:24:20.029Z2026-04-19T03:12:29.98ZS-EPMC112321313898237010.1186/s12886-024-03557-9