Literature DB >> 25948873

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

Marion Rabant1, Lucile Amrouche2, Xavier Lebreton3, Florence Aulagnon4, Aurélien Benon2, Virginia Sauvaget2, Raja Bonifay2, Lise Morin4, Anne Scemla4, Marianne Delville4, Frank Martinez4, Marc Olivier Timsit5, Jean-Paul Duong Van Huyen6, Christophe Legendre7, Fabiola Terzi2, Dany Anglicheau8.   

Abstract

Urinary levels of C-X-C motif chemokine 9 (CXCL9) and CXCL10 can noninvasively diagnose T cell-mediated rejection (TCMR) of renal allografts. However, performance of these molecules as diagnostic/prognostic markers of antibody-mediated rejection (ABMR) is unknown. We investigated urinary CXCL9 and CXCL10 levels in a highly sensitized cohort of 244 renal allograft recipients (67 with preformed donor-specific antibodies [DSAs]) with 281 indication biopsy samples. We assessed the benefit of adding these biomarkers to conventional models for diagnosing/prognosing ABMR. Urinary CXCL9 and CXCL10 levels, normalized to urine creatinine (Cr) levels (CXCL9:Cr and CXCL10:Cr) or not, correlated with the extent of tubulointerstitial (i+t score; all P<0.001) and microvascular (g+ptc score; all P<0.001) inflammation. CXCL10:Cr diagnosed TCMR (area under the curve [AUC]=0.80; 95% confidence interval [95% CI], 0.68 to 0.92; P<0.001) and ABMR (AUC=0.76; 95% CI, 0.69 to 0.82; P<0.001) with high accuracy, even in the absence of tubulointerstitial inflammation (AUC=0.70; 95% CI, 0.61 to 0.79; P<0.001). Although mean fluorescence intensity of the immunodominant DSA diagnosed ABMR (AUC=0.75; 95% CI, 0.68 to 0.82; P<0.001), combining urinary CXCL10:Cr with immunodominant DSA levels improved the diagnosis of ABMR (AUC=0.83; 95% CI, 0.77 to 0.89; P<0.001). At the time of ABMR, urinary CXCL10:Cr ratio was independently associated with an increased risk of graft loss. In conclusion, urinary CXCL10:Cr ratio associates with tubulointerstitial and microvascular inflammation of the renal allograft. Combining the urinary CXCL10:Cr ratio with DSA monitoring significantly improves the noninvasive diagnosis of ABMR and the stratification of patients at high risk for graft loss.
Copyright © 2015 by the American Society of Nephrology.

Entities:  

Keywords:  antibody-mediated rejection; biomarker; kidney transplantation; noninvasive diagnosis

Mesh:

Substances:

Year:  2015        PMID: 25948873      PMCID: PMC4625672          DOI: 10.1681/ASN.2014080797

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  23 in total

1.  Banff 07 classification of renal allograft pathology: updates and future directions.

Authors:  K Solez; R B Colvin; L C Racusen; M Haas; B Sis; M Mengel; P F Halloran; W Baldwin; G Banfi; A B Collins; F Cosio; D S R David; C Drachenberg; G Einecke; A B Fogo; I W Gibson; D Glotz; S S Iskandar; E Kraus; E Lerut; R B Mannon; M Mihatsch; B J Nankivell; V Nickeleit; J C Papadimitriou; P Randhawa; H Regele; K Renaudin; I Roberts; D Seron; R N Smith; M Valente
Journal:  Am J Transplant       Date:  2008-02-19       Impact factor: 8.086

2.  Urinary chemokines CXCL9 and CXCL10 are noninvasive markers of renal allograft rejection and BK viral infection.

Authors:  J A Jackson; E J Kim; B Begley; J Cheeseman; T Harden; S D Perez; S Thomas; B Warshaw; A D Kirk
Journal:  Am J Transplant       Date:  2011-08-03       Impact factor: 8.086

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

Authors:  Julie Ho; David N Rush; Martin Karpinski; Leroy Storsley; Ian W Gibson; Jennifer Bestland; Ang Gao; William Stefura; Kent T HayGlass; Peter W Nickerson
Journal:  Transplantation       Date:  2011-10-27       Impact factor: 4.939

4.  Diagnostic tests 2: Predictive values.

Authors:  D G Altman; J M Bland
Journal:  BMJ       Date:  1994-07-09

5.  Early post-transplant urinary IP-10 expression after kidney transplantation is predictive of short- and long-term graft function.

Authors:  M Matz; J Beyer; D Wunsch; M-F Mashreghi; M Seiler; J Pratschke; N Babel; H-D Volk; P Reinke; K Kotsch
Journal:  Kidney Int       Date:  2006-05       Impact factor: 10.612

6.  Posttransplant prophylactic intravenous immunoglobulin in kidney transplant patients at high immunological risk: a pilot study.

Authors:  D Anglicheau; A Loupy; C Suberbielle; J Zuber; N Patey; L-H Noël; R Cavalcanti; M Le Quintrec; F Audat; A Méjean; F Martinez; M-F Mamzer-Bruneel; E Thervet; C Legendre
Journal:  Am J Transplant       Date:  2007-03-12       Impact factor: 8.086

7.  Preexisting donor-specific HLA antibodies predict outcome in kidney transplantation.

Authors:  Carmen Lefaucheur; Alexandre Loupy; Gary S Hill; Joao Andrade; Dominique Nochy; Corinne Antoine; Chantal Gautreau; Dominique Charron; Denis Glotz; Caroline Suberbielle-Boissel
Journal:  J Am Soc Nephrol       Date:  2010-07-15       Impact factor: 10.121

8.  Urinary CXCL9 and CXCL10 levels correlate with the extent of subclinical tubulitis.

Authors:  S Schaub; P Nickerson; D Rush; M Mayr; C Hess; M Golian; W Stefura; K Hayglass
Journal:  Am J Transplant       Date:  2009-05-13       Impact factor: 8.086

Review 9.  Noninvasive prediction of organ graft rejection and outcome using gene expression patterns.

Authors:  Dany Anglicheau; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2008-07-27       Impact factor: 4.939

10.  Noninvasive detection of acute and chronic injuries in human renal transplant by elevation of multiple cytokines/chemokines in urine.

Authors:  Huaizhong Hu; Jean Kwun; Brian D Aizenstein; Stuart J Knechtle
Journal:  Transplantation       Date:  2009-06-27       Impact factor: 4.939

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  41 in total

1.  Differential gene expression pattern in biopsies with renal allograft pyelonephritis and allograft rejection.

Authors:  Steve Oghumu; Uday Nori; Anna Bracewell; Jianying Zhang; Cherri Bott; Gyongyi M Nadasdy; Sergey V Brodsky; Ronald Pelletier; Abhay R Satoskar; Tibor Nadasdy; Anjali A Satoskar
Journal:  Clin Transplant       Date:  2016-08-08       Impact factor: 2.863

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.  Immunological Monitoring in Beta Cell Replacement: Towards a Pathophysiology-Guided Implementation of Biomarkers.

Authors:  Fanny Buron; Sophie Reffet; Lionel Badet; Emmanuel Morelon; Olivier Thaunat
Journal:  Curr Diab Rep       Date:  2021-04-25       Impact factor: 4.810

Review 4.  Biomarkers and Pharmacogenomics in Kidney Transplantation.

Authors:  L E Crowley; M Mekki; S Chand
Journal:  Mol Diagn Ther       Date:  2018-10       Impact factor: 4.074

Review 5.  Imaging-based diagnosis of acute renal allograft rejection.

Authors:  Gerold Thölking; Katharina Schuette-Nuetgen; Dominik Kentrup; Helga Pawelski; Stefan Reuter
Journal:  World J Transplant       Date:  2016-03-24

6.  Urine CXCL10/IP-10 Fingers Ongoing Antibody-Mediated Kidney Graft Rejection.

Authors:  Robert L Fairchild; Manikkam Suthanthiran
Journal:  J Am Soc Nephrol       Date:  2015-05-06       Impact factor: 10.121

7.  The association of urinary interferon-gamma inducible protein-10 (IP10/CXCL10) levels with kidney allograft rejection.

Authors:  Ali Raza; Sadaf Firasat; Shagufta Khaliq; Tahir Aziz; Muhammed Mubarak; Syed Ali Anwar Naqvi; Syed Qasim Mehdi; Syed Adib-Ul-Hasan Rizvi; Aiysha Abid
Journal:  Inflamm Res       Date:  2017-02-28       Impact factor: 4.575

8.  Tacrolimus variability is associated with de novo donor-specific antibody development in pediatric renal transplant recipients.

Authors:  Sonia Solomon; Adriana Colovai; Marcela Del Rio; Nicole Hayde
Journal:  Pediatr Nephrol       Date:  2019-11-15       Impact factor: 3.714

Review 9.  Biomarkers in Solid Organ Transplantation.

Authors:  John Choi; Albana Bano; Jamil Azzi
Journal:  Clin Lab Med       Date:  2018-12-17       Impact factor: 1.935

Review 10.  Biomarkers in Transplantation--Proteomics and Metabolomics.

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

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