Literature DB >> 21876477

Validation of urinary CXCL10 as a marker of borderline, subclinical, and clinical tubulitis.

Julie Ho1, David N Rush, Martin Karpinski, Leroy Storsley, Ian W Gibson, Jennifer Bestland, Ang Gao, William Stefura, Kent T HayGlass, Peter W Nickerson.   

Abstract

BACKGROUND: Renal allograft injury secondary to subclinical and clinical tubulitis remains an important cause of allograft fibrosis and loss despite modern immunosuppression. The goal of this study was to validate the previously reported use of urinary CXCL10 (interferon-γ-induced protein of 10 kDa) as a noninvasive marker of tubulitis in an independent clinical cohort.
METHODS: Urine samples (n=102) from 91 patients with protocol or indication biopsies were assayed for urinary CXCL10 using ELISA. The groups analyzed were as follows: normal histology (n=22); interstitial fibrosis and tubular atrophy (IFTA) (n=20); IFTA and borderline tubulitis (n=13); borderline (n=13), subclinical (n=17); and clinical tubulitis (n=17) without IFTA.
RESULTS: The ratio of urinary CXCL10 to creatinine (CXCL10: Cr) was found to distinguish borderline, subclinical and clinical tubulitis from normal histology, and IFTA. The area under the curve receiver operating characteristic curve to distinguish normal versus borderline and subclinical tubulitis was 0.845 (OR 1.407, P=0.0184); normal versus borderline, subclinical and clinical tubulitis was 0.835 (OR 1.400, P=0.0127). CXCL10: Cr demonstrated a sensitivity of 73.3% and specificity of 72.7% for normal versus borderline and subclinical tubulitis at a cut-off of 1.97 ng CXCL10/mmol Cr.
CONCLUSION: This study validates urinary CXCL10 as a noninvasive, sensitive, and specific marker for tubulitis in an independent cohort. The straightforward urine processing is accessible to clinical laboratories. We propose that CXCL10 may be useful as a supplementary noninvasive screening test for tubulitis in renal transplant patients, with a level more than 1.97 ng CXCL10/mmol Cr being a threshold to consider biopsy.

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Year:  2011        PMID: 21876477     DOI: 10.1097/TP.0b013e31822d4de1

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  16 in total

Review 1.  Role for urinary biomarkers in diagnosis of acute rejection in the transplanted kidney.

Authors:  Basma Merhi; George Bayliss; Reginald Y Gohh
Journal:  World J Transplant       Date:  2015-12-24

2.  Analysis of Biomarkers Within the Initial 2 Years Posttransplant and 5-Year Kidney Transplant Outcomes: Results From Clinical Trials in Organ Transplantation-17.

Authors:  Geovani Faddoul; Girish N Nadkarni; Nancy D Bridges; Jens Goebel; Donald E Hricik; Richard Formica; Madhav C Menon; Yvonne Morrison; Barbara Murphy; Kenneth Newell; Peter Nickerson; Emilio D Poggio; David Rush; Peter S Heeger
Journal:  Transplantation       Date:  2018-04       Impact factor: 4.939

Review 3.  Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.

Authors:  Madhav C Menon; Barbara Murphy; Peter S Heeger
Journal:  J Am Soc Nephrol       Date:  2017-01-06       Impact factor: 10.121

Review 4.  The impact of infection and tissue damage in solid-organ transplantation.

Authors:  Anita S Chong; Maria-Luisa Alegre
Journal:  Nat Rev Immunol       Date:  2012-05-25       Impact factor: 53.106

5.  Urinary C-X-C Motif Chemokine 10 Independently Improves the Noninvasive Diagnosis of Antibody-Mediated Kidney Allograft Rejection.

Authors:  Marion Rabant; Lucile Amrouche; Xavier Lebreton; Florence Aulagnon; Aurélien Benon; Virginia Sauvaget; Raja Bonifay; Lise Morin; Anne Scemla; Marianne Delville; Frank Martinez; Marc Olivier Timsit; Jean-Paul Duong Van Huyen; Christophe Legendre; Fabiola Terzi; Dany Anglicheau
Journal:  J Am Soc Nephrol       Date:  2015-05-06       Impact factor: 10.121

Review 6.  Genomic and proteomic fingerprints of acute rejection in peripheral blood and urine.

Authors:  Song Ong; Roslyn B Mannon
Journal:  Transplant Rev (Orlando)       Date:  2014-12-10       Impact factor: 3.943

7.  Multicenter validation of urinary CXCL9 as a risk-stratifying biomarker for kidney transplant injury.

Authors:  D E Hricik; P Nickerson; R N Formica; E D Poggio; D Rush; K A Newell; J Goebel; I W Gibson; R L Fairchild; M Riggs; K Spain; D Ikle; N D Bridges; P S Heeger
Journal:  Am J Transplant       Date:  2013-08-22       Impact factor: 8.086

Review 8.  Urinary Cell mRNA Profiles Predictive of Human Kidney Allograft Status.

Authors:  Michelle L Lubetzky; Thalia Salinas; Joseph E Schwartz; Manikkam Suthanthiran
Journal:  Clin J Am Soc Nephrol       Date:  2021-04-27       Impact factor: 10.614

9.  Developing renal allograft surveillance strategies - urinary biomarkers of cellular rejection.

Authors:  Patricia Hirt-Minkowski; Sacha A De Serres; Julie Ho
Journal:  Can J Kidney Health Dis       Date:  2015-08-18

10.  Prediction of Long-term Renal Allograft Outcome By Early Urinary CXCL10 Chemokine Levels.

Authors:  Patricia Hirt-Minkowski; Julie Ho; Ang Gao; Patrizia Amico; Michael T Koller; Helmut Hopfer; David N Rush; Peter W Nickerson; Stefan Schaub
Journal:  Transplant Direct       Date:  2015-09-24
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