Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis

Justyna Siwy (1) , Petra Zürbig (2) , Angel Argilés (3, 4, 5) , Joachim Beige , Marion Haubitz (6) , Jan Jankowski (7) , Bruce Julian , Peter Linde (8) , David Marx (9) , Harald Mischak (10) , William Mullen (11) , Jan Novak (12) , Alberto Ortiz (13) , Frederik Persson , Claudia Pontillo , Peter Rossing (14) , Harald Rupprecht , Joost Schanstra (15) , Antonia Vlahou (16) , Raymond Vanholder (17)

1 Protein Analysis for Clinical Diagnosis and Pharmaceutical Research
2 Mosaiques Diagnostics GmbH
3 NDSG - Néphrologie Dialyse Saint Guilhem
4 R&D - RD-Néphrologie
5 BC2M - Biocommunication en Cardio-Métabolique
6 MHH - Department of Nephrology
7 Department of Poultry Science
8 Blekinge Institute of Technology
9 HUS - Les Hôpitaux Universitaires de Strasbourg
10 Institute of Cardiovascular and Medical Sciences [Glasgow]
11 BHF Glasgow Cardiovascular Research Centre
12 Department of Microbiology
13 TSP - RS2M - Département Réseaux et Services Multimédia Mobiles
14 Steno Diabetes Center of Copenhagen [Gentofte, Denmark]
15 INSERM - Institut National de la Santé et de la Recherche Médicale
16 Research Foundation
17 Nephrology Section [Ghent]

In spite of its invasive nature and risks, kidney biopsy is currently required for precise diagnosis of many chronic kidney diseases (CKDs). Here, we explored the hypothesis that analysis of the urinary proteome can discriminate different types of CKD irrespective of the underlying mechanism of disease.

Mots clés: biomarkers; chronic kidney disease; peptides; proteome analysis; urine

Domaines: Sciences du Vivant [q-bio]

Justyna Siwy, Petra Zürbig, Angel Argilés, Joachim Beige, Marion Haubitz, et al.. Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis. Nephrology Dialysis Transplantation, 2017, pp.2079-2089. ⟨10.1093/ndt/gfw337⟩. ⟨hal-01906007⟩