Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease

Publication date: Available online 5 January 2017 Source:EuPA Open Proteomics Author(s): Scott D. Bringans, Jun Ito, Thomas Stoll, Kaye Winfield, Michael Phillips, Kirsten Peters, Wendy A. Davis, Timothy M.E. Davis, Richard J. Lipscombe A protein biomarker discovery workflow was applied to plasma samples from patients at different stages of diabetic kidney disease, a chronic complication of diabetes mellitus. The proteomics platform used for this study produced a panel of significant biomarkers specific for diabetic kidney disease that were statistically scrutinised against the current gold standard tests. The resulting significant correlations of biomarker concentration to the disease state prove the suitability and efficacy of the process used. The biomarker panel has the potential to improve diagnosis of diabetic kidney disease and enable early intervention strategies to minimise kidney damage in diabetic patients.
Source: EuPA Open Proteomics - Category: Bioinformatics Source Type: research