{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Qin W"],"funding":["National Natural Science Foundation of China","Clinical Research Fund of Beijing Municipal Science and Technology Commission","Beijing Natural Science Foundation"],"pagination":["277"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11232131"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<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 identified"],"journal":["BMC ophthalmology"],"pubmed_title":["Quantitative urinary proteome analysis reveals potential biomarkers for disease activity of Behcet's disease uveitis."],"pmcid":["PMC11232131"],"funding_grant_id":["7192174","82000881","Z171100001017217"],"pubmed_authors":["Zhao C","Gao Y","Han X","Zhang M","Qin W","Liang A"],"additional_accession":[]},"is_claimable":false,"name":"Quantitative urinary proteome analysis reveals potential biomarkers for disease activity of Behcet's disease uveitis.","description":"<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 identified","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2026-04-19T03:24:20.029Z","creation":"2026-04-19T03:12:29.98Z"},"accession":"S-EPMC11232131","cross_references":{"pubmed":["38982370"],"doi":["10.1186/s12886-024-03557-9"]}}