Literature DB >> 24321302

Urine proteomics in kidney transplantation.

Steven C Kim1, Eugenia K Page, Stuart J Knechtle.   

Abstract

The transplanted kidney, through its urinary output, provides a medium through which the molecular constitution can provide insight into either the healthy function or developing dysfunction of a newly transplanted organ. An assay that would detect the aberration of early biomarkers of allograft injury using only urine samples from patients would provide many advantages over the current use of creatinine and tissue biopsies, as these means are either relatively non-specific or very invasive. Several urine biomarkers have been correlated with allograft injury, including CXCL9, CXCL10, CCL2, NGAL, IL-18, cystatin C, KIM-1 and Tim-3. The recent results of the CTOT-01 trial serve to validate the predictive value of the CXCL9 biomarker as a non-invasive biomarker for rejection and a prognostic indicator of graft function. There is now a preponderance of evidence showing a value of urinary monitoring of CXCL9 and CXCL10 with respect to detection of acute kidney allograft rejection. The value of the assay has been validated as a means of reducing the need for kidney transplant biopsy and applying biopsy in a more targeted manner. Additional goals for non-invasive monitoring would include predictive value prior to creatinine elevation that in turn would permit earlier, preemptive treatment of rejection.
© 2013.

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Year:  2013        PMID: 24321302     DOI: 10.1016/j.trre.2013.10.004

Source DB:  PubMed          Journal:  Transplant Rev (Orlando)        ISSN: 0955-470X            Impact factor:   3.943


  14 in total

1.  Urine biomarkers in renal allograft.

Authors:  Hongting Wang; Zuan-Tao Lin; Yulin Yuan; Tianfu Wu
Journal:  J Transl Int Med       Date:  2016-09-23

2.  Highly Sensitive Immuno-CRISPR Assay for CXCL9 Detection.

Authors:  Inseon Lee; Seok-Joon Kwon; Mirco Sorci; Peter S Heeger; Jonathan S Dordick
Journal:  Anal Chem       Date:  2021-12-04       Impact factor: 8.008

Review 3.  Biomarkers in Transplantation--Proteomics and Metabolomics.

Authors:  Uwe Christians; Jelena Klawitter; Jost Klawitter
Journal:  Ther Drug Monit       Date:  2016-04       Impact factor: 3.681

4.  Immunological and inflammatory mapping of vascularized composite allograft rejection processes in a rat model.

Authors:  Or Friedman; Narin Carmel; Meirav Sela; Ameen Abu Jabal; Amir Inbal; Moshe Ben Hamou; Yakov Krelin; Eyal Gur; Nir Shani
Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

5.  Urinary neprilysin in the critically ill patient.

Authors:  Sahra Pajenda; Karl Mechtler; Ludwig Wagner
Journal:  BMC Nephrol       Date:  2017-05-25       Impact factor: 2.388

Review 6.  Biomarkers in renal transplantation: An updated review.

Authors:  Maurizio Salvadori; Aris Tsalouchos
Journal:  World J Transplant       Date:  2017-06-24

Review 7.  Neutrophil Gelatinase-Associated Lipocalin as a Biomarker of Allograft Function After Renal Transplantation: Evaluation of the Current Status and Future Insights.

Authors:  Maria Cappuccilli; Irene Capelli; Giorgia Comai; Giuseppe Cianciolo; Gaetano La Manna
Journal:  Artif Organs       Date:  2017-12-20       Impact factor: 3.094

Review 8.  Translational research in kidney transplantation and the role of patient engagement.

Authors:  Janine F Farragher; Meghan J Elliott; Samuel A Silver; Zsuzsanna Lichner; Anne Tsampalieros
Journal:  Can J Kidney Health Dis       Date:  2015-11-05

9.  Rapid Biolayer Interferometry Measurements of Urinary CXCL9 to Detect Cellular Infiltrates Noninvasively After Kidney Transplantation.

Authors:  Ilaria Gandolfini; Cynthia Harris; Michael Abecassis; Lisa Anderson; Oriol Bestard; Giorgia Comai; Paolo Cravedi; Elena Cremaschi; J Andrew Duty; Sander Florman; John Friedewald; Gaetano La Manna; Umberto Maggiore; Thomas Moran; Giovanni Piotti; Carolina Purroy; Marta Jarque; Vinay Nair; Ron Shapiro; Jessica Reid-Adam; Peter S Heeger
Journal:  Kidney Int Rep       Date:  2017-06-21

10.  Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)-Rationale and database description.

Authors:  Qi-Fang Huang; Sander Trenson; Zhen-Yu Zhang; Wen-Yi Yang; Lucas Van Aelst; Esther Nkuipou-Kenfack; Fang-Fei Wei; Blerim Mujaj; Lutgarde Thijs; Agnieszka Ciarka; Jerome Zoidakis; Walter Droogné; Antonia Vlahou; Stefan Janssens; Johan Vanhaecke; Johan Van Cleemput; Jan A Staessen
Journal:  PLoS One       Date:  2017-09-07       Impact factor: 3.240

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