2251 PROTEIN SIGNATURE IN URINE INDICATES REJECTION AFTER KIDNEY TRANSPLANTATION AT AN EARLY POSTOPERATIVE STATE

Abstract

You have accessJournal of UrologyTransplantation & Vascular Surgery: Renal Transplantation, Vascular Surgery1 Apr 20112251 PROTEIN SIGNATURE IN URINE INDICATES REJECTION AFTER KIDNEY TRANSPLANTATION AT AN EARLY POSTOPERATIVE STATE Stefanie Finke, Beatrice Stubendorff, Torsten Gruschwitz, Undine Ott, Thomas Steiner, Heiko Wunderlich, Ferdinand von Eggeling, Marc-Oliver Grimm, and Kerstin Junker Stefanie FinkeStefanie Finke Jena, Germany More articles by this author , Beatrice StubendorffBeatrice Stubendorff Jena, Germany More articles by this author , Torsten GruschwitzTorsten Gruschwitz Jena, Germany More articles by this author , Undine OttUndine Ott Jena, Germany More articles by this author , Thomas SteinerThomas Steiner Jena, Germany More articles by this author , Heiko WunderlichHeiko Wunderlich Jena, Germany More articles by this author , Ferdinand von EggelingFerdinand von Eggeling Jena, Germany More articles by this author , Marc-Oliver GrimmMarc-Oliver Grimm Jena, Germany More articles by this author , and Kerstin JunkerKerstin Junker Jena, Germany More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2011.02.2493AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES An effective immunosuppressive therapy leads to improvements in kidney graft survival after transplantation. However, successful treatment requires an early detection of allograft rejection. Currently no non-invasive diagnostic tools exist which allow for early and reliable detection of acute rejections after kidney transplantation. In a previous study we identified a specific urine protein pattern that correlates with rejection at the time of biopsy. This pattern enables a differentiation between patients with and without allograft rejection. In the current investigations we examined if allograft rejection is already detectable within few days after transplantation based on our identified protein signature. METHODS 52 urine samples (collected between postoperative day 5 and 10) from patients with and without allograft rejection (26 each) were analysed by SELDI-TOF-MS technology using two different ProteinChip® surfaces (Q10 and CM10). Bioinformatic analysis was conducted using software XLMiner. Based on the previously defined protein signature, samples were assigned to “rejection” and “no rejection” respectively. The timeframe between postoperative sample collection and rejection was 9 days to 14 months. RESULTS Using our predefined urine protein pattern as predictor for rejection resulted in an accuracy of 63%. In case of 42% of patients with proven rejection the protein signature was able to predict the allograft rejection at an early postoperative state. Considering the time point of rejection, in case of 8 of 11 patients that were assigned correctly to undergo a rejection, the period until rejection was less than 30 days. Vice versa, in 11 of 15 patients those were false negative (rejection was not predicted), the period until rejection was 1 to 14 months. CONCLUSIONS The identified specific urine protein pattern enables the prediction of early acute allograft rejection already a few days after kidney transplantation if rejection occurs during the first 30 days. Further analyses have to show if early and reliable diagnosis is possible for patients with allograft rejection that occurs several month after transplantation by analyzing changes in urine protein pattern in regular intervals. © 2011 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 185Issue 4SApril 2011Page: e903 Advertisement Copyright & Permissions© 2011 by American Urological Association Education and Research, Inc.MetricsAuthor Information Stefanie Finke Jena, Germany More articles by this author Beatrice Stubendorff Jena, Germany More articles by this author Torsten Gruschwitz Jena, Germany More articles by this author Undine Ott Jena, Germany More articles by this author Thomas Steiner Jena, Germany More articles by this author Heiko Wunderlich Jena, Germany More articles by this author Ferdinand von Eggeling Jena, Germany More articles by this author Marc-Oliver Grimm Jena, Germany More articles by this author Kerstin Junker Jena, Germany More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...