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Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease
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 5...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988498/ https://www.ncbi.nlm.nih.gov/pubmed/29900119 http://dx.doi.org/10.1016/j.euprot.2016.12.001 |
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author | Bringans, Scott D. Ito, Jun Stoll, Thomas Winfield, Kaye Phillips, Michael Peters, Kirsten Davis, Wendy A. Davis, Timothy M.E. Lipscombe, Richard J. |
author_facet | Bringans, Scott D. Ito, Jun Stoll, Thomas Winfield, Kaye Phillips, Michael Peters, Kirsten Davis, Wendy A. Davis, Timothy M.E. Lipscombe, Richard J. |
author_sort | Bringans, Scott D. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5988498 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59884982018-06-13 Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease Bringans, Scott D. Ito, Jun Stoll, Thomas Winfield, Kaye Phillips, Michael Peters, Kirsten Davis, Wendy A. Davis, Timothy M.E. Lipscombe, Richard J. EuPA Open Proteom Regular Article 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. Elsevier 2017-01-05 /pmc/articles/PMC5988498/ /pubmed/29900119 http://dx.doi.org/10.1016/j.euprot.2016.12.001 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Bringans, Scott D. Ito, Jun Stoll, Thomas Winfield, Kaye Phillips, Michael Peters, Kirsten Davis, Wendy A. Davis, Timothy M.E. Lipscombe, Richard J. Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease |
title | Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease |
title_full | Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease |
title_fullStr | Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease |
title_full_unstemmed | Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease |
title_short | Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease |
title_sort | comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988498/ https://www.ncbi.nlm.nih.gov/pubmed/29900119 http://dx.doi.org/10.1016/j.euprot.2016.12.001 |
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