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Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease

Capillary electrophoresis coupled with mass spectrometry (CE-MS) has been used as a platform for discovery and validation of urinary peptides associated with chronic kidney disease (CKD). CKD affects ∼ 10% of the population, with high associated costs for treatments. A urinary proteome-based classif...

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Autores principales: Pontillo, Claudia, Mischak, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499684/
https://www.ncbi.nlm.nih.gov/pubmed/28694965
http://dx.doi.org/10.1093/ckj/sfx002
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author Pontillo, Claudia
Mischak, Harald
author_facet Pontillo, Claudia
Mischak, Harald
author_sort Pontillo, Claudia
collection PubMed
description Capillary electrophoresis coupled with mass spectrometry (CE-MS) has been used as a platform for discovery and validation of urinary peptides associated with chronic kidney disease (CKD). CKD affects ∼ 10% of the population, with high associated costs for treatments. A urinary proteome-based classifier (CKD273) has been discovered and validated in cross-sectional and longitudinal studies to assess and predict the progression of CKD. It has been implemented in studies employing cohorts of > 1000 patients. CKD273 is commercially available as an in vitro diagnostic test for early detection of CKD and is currently being used for patient stratification in a multicentre randomized clinical trial (PRIORITY). The validity of the CKD273 classifier has recently been evaluated applying the Oxford Evidence-Based Medicine and Southampton Oxford Retrieval Team guidelines and a letter of support for CKD273 was issued by the US Food and Drug Administration. In this article we review the current evidence published on CKD273 and the challenges associated with implementation. Definition of a possible surrogate early endpoint combined with CKD273 as a biomarker for patient stratification currently appears as the most promising strategy to enable the development of effective drugs to be used at an early time point when intervention can still be effective.
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spelling pubmed-54996842017-07-10 Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease Pontillo, Claudia Mischak, Harald Clin Kidney J Biomarkers Capillary electrophoresis coupled with mass spectrometry (CE-MS) has been used as a platform for discovery and validation of urinary peptides associated with chronic kidney disease (CKD). CKD affects ∼ 10% of the population, with high associated costs for treatments. A urinary proteome-based classifier (CKD273) has been discovered and validated in cross-sectional and longitudinal studies to assess and predict the progression of CKD. It has been implemented in studies employing cohorts of > 1000 patients. CKD273 is commercially available as an in vitro diagnostic test for early detection of CKD and is currently being used for patient stratification in a multicentre randomized clinical trial (PRIORITY). The validity of the CKD273 classifier has recently been evaluated applying the Oxford Evidence-Based Medicine and Southampton Oxford Retrieval Team guidelines and a letter of support for CKD273 was issued by the US Food and Drug Administration. In this article we review the current evidence published on CKD273 and the challenges associated with implementation. Definition of a possible surrogate early endpoint combined with CKD273 as a biomarker for patient stratification currently appears as the most promising strategy to enable the development of effective drugs to be used at an early time point when intervention can still be effective. Oxford University Press 2017-04 2017-03-29 /pmc/articles/PMC5499684/ /pubmed/28694965 http://dx.doi.org/10.1093/ckj/sfx002 Text en © The Author 2017. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Biomarkers
Pontillo, Claudia
Mischak, Harald
Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease
title Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease
title_full Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease
title_fullStr Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease
title_full_unstemmed Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease
title_short Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease
title_sort urinary peptide-based classifier ckd273: towards clinical application in chronic kidney disease
topic Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499684/
https://www.ncbi.nlm.nih.gov/pubmed/28694965
http://dx.doi.org/10.1093/ckj/sfx002
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