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Multicentre prospective validation of a urinary peptidome-based classifier for the diagnosis of type 2 diabetic nephropathy

  • Justyna Siwy
  • , Joost P Schanstra
  • , Angel Argiles
  • , Stephan J L Bakker
  • , Joachim Beige
  • , Petr Boucek
  • , Korbinian Brand
  • , Christian Delles
  • , Flore Duranton
  • , Beatriz Fernandez-Fernandez
  • , Marie-Luise Jankowski
  • , Mohammad Al Khatib
  • , Thomas Kunt
  • , Maria Lajer
  • , Ralf Lichtinghagen
  • , Morten Lindhardt
  • , David M Maahs
  • , Harald Mischak
  • , William Mullen
  • , Gerjan Navis
  • Marina Noutsou, Alberto Ortiz, Frederik Persson, John R Petrie, Johannes M Roob, Peter Rossing, Piero Ruggenenti, Ivan Rychlik, Andreas L Serra, Janet Snell-Bergeon, Goce Spasovski, Olivera Stojceva-Taneva, Matias Trillini, Heiko von der Leyen, Brigitte M Winklhofer-Roob, Petra Zürbig, Joachim Jankowski

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)1563-70
    Number of pages8
    JournalNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
    Volume29
    Issue number8
    DOIs
    Publication statusPublished - Aug 2014

    Keywords

    • Adult
    • Aged
    • Diabetes Mellitus, Type 2/complications
    • Diabetic Nephropathies/diagnosis
    • Diagnosis, Differential
    • Disease Progression
    • Female
    • Follow-Up Studies
    • Humans
    • Male
    • Middle Aged
    • Peptidomimetics/urine
    • Prospective Studies
    • Proteomics/methods

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