Scott D. Bringans, Jun Ito , Thomas Stoll , Kaye Winfield , Michael Phillips, Kirsten Peters, Wendy A. Davis, Timothy M.E. Davis, Richard J. Lipscombe (2017). Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease. EuPA Open Proteomics.
A protein biomarker discovery workﬂow was applied to plasma samples from patients at different stages of diabetic kidney disease. The proteomics platform produced a panel of signiﬁcant plasma biomarkers that were statistically scrutinised against the current gold standard tests on an analysis of 572 patients. Five proteins were signiﬁcantly associated with diabetic kidney disease deﬁned by albuminuria, renal impairment (eGFR) and chronic kidney disease staging (CKD Stage ≥ 1, ROC curve of 0.77). The results prove the suitability and efﬁcacy of the process used, and introduce a biomarker panel with the potential to improve diagnosis of diabetic kidney disease.