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

期刊

CLINICAL KIDNEY JOURNAL
卷 10, 期 2, 页码 192-201

出版社

OXFORD UNIV PRESS
DOI: 10.1093/ckj/sfx002

关键词

chronic kidney disease (CKD); CKD progression; peptides-based classifiers; proteomics; urinary biomarkers

资金

  1. FP7 programme 'Clinical and system-omics for the identification of the Molecular De-terminants of established Chronic Kidney Disease' (iMODE-CKD) [PEOPLE-ITN-GA-2013-608332]
  2. FP7 programme 'Molecular Medicine' and 'Systems Biology to Identify Molecular Targets for Vascular Disease Treatment' (SysVasc) [HEALTH-2013 603288]

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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 similar to 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 amulticentre 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 themost 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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