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

Scott D. Bringans; Jun Ito; Thomas Stoll; Kaye Winfield; Michael Phillips; Kirsten Peters; Wendy A. Davis; Timothy M.E. Davis; Richard J. Lipscombe

doi:10.1016/j.euprot.2016.12.001

EuPA Open Proteomics (Mar 2017)

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

Scott D. Bringans,
Jun Ito,
Thomas Stoll,
Kaye Winfield,
Michael Phillips,
Kirsten Peters,
Wendy A. Davis,
Timothy M.E. Davis,
Richard J. Lipscombe

Affiliations

Scott D. Bringans: Proteomics International, PO Box 3008, Broadway, Nedlands, Perth, Western Australia, WA 6009, Australia
Jun Ito: Proteomics International, PO Box 3008, Broadway, Nedlands, Perth, Western Australia, WA 6009, Australia
Thomas Stoll: Proteomics International, PO Box 3008, Broadway, Nedlands, Perth, Western Australia, WA 6009, Australia
Kaye Winfield: Proteomics International, PO Box 3008, Broadway, Nedlands, Perth, Western Australia, WA 6009, Australia
Michael Phillips: Harry Perkins Institute of Medial Research, QQ Block, QEII Medical Centre 6 Verdun Street, Nedlands, Perth, Western Australia, WA 6009, Australia
Kirsten Peters: Proteomics International, PO Box 3008, Broadway, Nedlands, Perth, Western Australia, WA 6009, Australia
Wendy A. Davis: University of Western Australia, 35 Stirling Highway, Crawley, Perth, Western Australia, WA 6009, Australia
Timothy M.E. Davis: University of Western Australia, 35 Stirling Highway, Crawley, Perth, Western Australia, WA 6009, Australia
Richard J. Lipscombe: Proteomics International, PO Box 3008, Broadway, Nedlands, Perth, Western Australia, WA 6009, Australia

DOI: https://doi.org/10.1016/j.euprot.2016.12.001
Journal volume & issue: Vol. 14, no. C
pp. 1 – 10

Abstract

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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.

Published in EuPA Open Proteomics

ISSN: 2212-9685 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Biology (General): Genetics
Website: http://www.journals.elsevier.com/eupa-open-proteomics/

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