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Multicentre prospective validation of a urinary peptidome-based classifier for the diagnosis of type 2 diabetic nephropathy
J. Siwy, JP. Schanstra, A. Argiles, SJ. Bakker, J. Beige, P. Boucek, K. Brand, C. Delles, F. Duranton, B. Fernandez-Fernandez, ML. Jankowski, M. Al Khatib, T. Kunt, M. Lajer, R. Lichtinghagen, M. Lindhardt, DM. Maahs, H. Mischak, W. Mullen, G....
Language English Country England, Great Britain
Document type Journal Article, Multicenter Study, Randomized Controlled Trial, Research Support, Non-U.S. Gov't, Validation Study
NLK
Free Medical Journals
from 1996 to 1 year ago
Open Access Digital Library
from 1996-01-01
PubMed
24589724
DOI
10.1093/ndt/gfu039
Knihovny.cz E-resources
- MeSH
- Diabetes Mellitus, Type 2 complications diagnosis urine MeSH
- Diabetic Nephropathies diagnosis etiology urine MeSH
- Diagnosis, Differential MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Follow-Up Studies MeSH
- Peptidomimetics urine MeSH
- Disease Progression MeSH
- Prospective Studies MeSH
- Proteomics methods MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Randomized Controlled Trial MeSH
- Validation Study MeSH
BACKGROUND: Diabetic nephropathy (DN) is one of the major late complications of diabetes. Treatment aimed at slowing down the progression of DN is available but methods for early and definitive detection of DN progression are currently lacking. The 'Proteomic prediction and Renin angiotensin aldosterone system Inhibition prevention Of early diabetic nephRopathy In TYpe 2 diabetic patients with normoalbuminuria trial' (PRIORITY) aims to evaluate the early detection of DN in patients with type 2 diabetes (T2D) using a urinary proteome-based classifier (CKD273). METHODS: In this ancillary study of the recently initiated PRIORITY trial we aimed to validate for the first time the CKD273 classifier in a multicentre (9 different institutions providing samples from 165 T2D patients) prospective setting. In addition we also investigated the influence of sample containers, age and gender on the CKD273 classifier. RESULTS: We observed a high consistency of the CKD273 classification scores across the different centres with areas under the curves ranging from 0.95 to 1.00. The classifier was independent of age (range tested 16-89 years) and gender. Furthermore, the use of different urine storage containers did not affect the classification scores. Analysis of the distribution of the individual peptides of the classifier over the nine different centres showed that fragments of blood-derived and extracellular matrix proteins were the most consistently found. CONCLUSION: We provide for the first time validation of this urinary proteome-based classifier in a multicentre prospective setting and show the suitability of the CKD273 classifier to be used in the PRIORITY trial.
2nd Department of Internal Medicine 3rd Faculty of Medicine Charles University Prague Czech Republic
Barbara Davis Center for Childhood Diabetes University of Colorado Denver Aurora CO USA
Charité Universitaetsmedizin Berlin Medizinische Klinik 4 Berlin Germany
Department of Nephrology and KfH Renal Unit Hospital St Georg Leipzig Germany
Department of Nephrology University of Skopje Skopje Macedonia
Diabetes Centre Institute for Clinical and Experimental Medicine Prague Czech Republic
Division of Nephrology University Hospital Zürich Switzerland
Hannover Clinical Trial Center Hannover Germany
HealthPlus Diabetes and Endocrinology Center Abu Dhabi UAE
IIS Fundacion Jimenez Diaz UAM IRSIN and REDIREN Madrid Spain
Institut für Klinische Chemie Medizinische Hochschule Hannover Hannover Germany
Mosaiques Diagnostics GmbH Hanover Germany
RD Néphrologie Montpellier France
References provided by Crossref.org
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