Literature DB >> 26176825

Molecular diagnostics identifies risks for graft dysfunction despite borderline histologic changes.

Petra Hrubá1, Irena Brabcová1, Faikah Gueler2, Zdeněk Krejčík3, Viktor Stránecký4, Eva Svobodová5, Jana Malušková6, Wilfried Gwinner2, Eva Honsová6, Alena Lodererová6, Rainer Oberbauer7, Roman Zachoval8, Ondřej Viklický1,9,10.   

Abstract

The significance of borderline changes in kidney allograft biopsies is widely debated. To help resolve this, we studied differences in intrarenal gene expression patterns between early clinical and 3-month protocol biopsies, all of which had borderline histologic changes. The gene expression profiles in training set of patients by microarray analysis and data were validated in a larger cohort using RT-qPCR. There was greater expression of immunity- and inflammation-related genes in the early clinical biopsies compared to the 3-month protocol biopsies with borderline changes. In early clinically manifested borderline changes, graft deterioration within 24 months due to chronic rejection was associated with increased activation of immune, defense, and inflammatory processes. Regression modeling identified higher donor age and expression of macrophage receptor CLEC5A as risk factors for progression. In the 3-month protocol biopsies with borderline changes, graft dysfunction was associated with increased expression of fibrinogen complex transcripts. The discrimination power of fibrinogen was confirmed by cross-validation on two independent cohorts. Thus, our study highlights variations in gene expression between clinical and subclinical borderline changes despite similar histological findings. The data also support a recommendation for frequent patient monitoring, especially in those with borderline changes who received grafts from older donors.

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Year:  2015        PMID: 26176825     DOI: 10.1038/ki.2015.211

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  37 in total

1.  Analysis of independent microarray datasets of renal biopsies identifies a robust transcript signature of acute allograft rejection.

Authors:  Pierre Saint-Mezard; Céline C Berthier; Hai Zhang; Alexandre Hertig; Sergio Kaiser; Martin Schumacher; Grazyna Wieczorek; Marc Bigaud; Jeanne Kehren; Eric Rondeau; Friedrich Raulf; Hans-Peter Marti
Journal:  Transpl Int       Date:  2008-11-06       Impact factor: 3.782

2.  Age changes in glomerular filtration rate, effective renal plasma flow, and tubular excretory capacity in adult males.

Authors:  D F DAVIES; N W SHOCK
Journal:  J Clin Invest       Date:  1950-05       Impact factor: 14.808

3.  Fibrinogen, acting as a mitogen for tubulointerstitial fibroblasts, promotes renal fibrosis.

Authors:  Inga Sörensen; Nathan Susnik; Therese Inhester; Jay L Degen; Anette Melk; Herrmann Haller; Roland Schmitt
Journal:  Kidney Int       Date:  2011-07-06       Impact factor: 10.612

4.  Untreated rejection in 6-month protocol biopsies is not associated with fibrosis in serial biopsies or with loss of graft function.

Authors:  Eduard M Scholten; Ajda T Rowshani; Serge Cremers; Frederike J Bemelman; Michael Eikmans; Erik van Kan; Marko J Mallat; Sandrine Florquin; Janto Surachno; Ineke J ten Berge; Ingeborg M Bajema; Johan W de Fijter
Journal:  J Am Soc Nephrol       Date:  2006-08-09       Impact factor: 10.121

5.  Transcriptome changes of chronic tubulointerstitial damage in early kidney transplantation.

Authors:  Matthew J Vitalone; Philip J O'Connell; Moses Wavamunno; Caroline L-S Fung; Jeremy R Chapman; Brian J Nankivell
Journal:  Transplantation       Date:  2010-03-15       Impact factor: 4.939

6.  Early protocol renal allograft biopsies and graft outcome.

Authors:  D Serón; F Moreso; J Bover; E Condom; S Gil-Vernet; C Cañas; X Fulladosa; J Torras; M Carrera; J M Grinyó; J Alsina
Journal:  Kidney Int       Date:  1997-01       Impact factor: 10.612

7.  Myeloid DAP12-associating lectin (MDL)-1 regulates synovial inflammation and bone erosion associated with autoimmune arthritis.

Authors:  Barbara Joyce-Shaikh; Michael E Bigler; Cheng-Chi Chao; Erin E Murphy; Wendy M Blumenschein; Iannis E Adamopoulos; Paul G Heyworth; Svetlana Antonenko; Edward P Bowman; Terrill K McClanahan; Joseph H Phillips; Daniel J Cua
Journal:  J Exp Med       Date:  2010-03-08       Impact factor: 14.307

8.  Impact of Banff borderline acute rejection among renal allograft recipients.

Authors:  J R A Matoza; R A Danguilan; S Chicano
Journal:  Transplant Proc       Date:  2008-09       Impact factor: 1.066

9.  CLEC5A is critical for dengue-virus-induced lethal disease.

Authors:  Szu-Ting Chen; Yi-Ling Lin; Ming-Ting Huang; Ming-Fang Wu; Shih-Chin Cheng; Huan-Yao Lei; Chien-Kuo Lee; Tzyy-Wen Chiou; Chi-Huey Wong; Shie-Liang Hsieh
Journal:  Nature       Date:  2008-05-21       Impact factor: 49.962

10.  Banff 2013 meeting report: inclusion of c4d-negative antibody-mediated rejection and antibody-associated arterial lesions.

Authors:  M Haas; B Sis; L C Racusen; K Solez; D Glotz; R B Colvin; M C R Castro; D S R David; E David-Neto; S M Bagnasco; L C Cendales; L D Cornell; A J Demetris; C B Drachenberg; C F Farver; A B Farris; I W Gibson; E Kraus; H Liapis; A Loupy; V Nickeleit; P Randhawa; E R Rodriguez; D Rush; R N Smith; C D Tan; W D Wallace; M Mengel
Journal:  Am J Transplant       Date:  2014-02       Impact factor: 8.086

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  9 in total

Review 1.  Kidney Fibrosis: Origins and Interventions.

Authors:  Thomas Vanhove; Roel Goldschmeding; Dirk Kuypers
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

Review 2.  Molecular Assessment of Kidney Allografts: Are We Closer to a Daily Routine?

Authors:  A Trailin; P Hruba; O Viklicky
Journal:  Physiol Res       Date:  2020-03-23       Impact factor: 1.881

3.  Delayed graft function is associated with an increased rate of renal allograft rejection: A retrospective single center analysis.

Authors:  Susanne Weber; Thomas Dienemann; Johannes Jacobi; Kai-Uwe Eckardt; Alexander Weidemann
Journal:  PLoS One       Date:  2018-06-21       Impact factor: 3.240

4.  Molecular patterns of isolated tubulitis differ from tubulitis with interstitial inflammation in early indication biopsies of kidney allografts.

Authors:  Petra Hruba; Katelynn Madill-Thomsen; Martina Mackova; Jiri Klema; Jana Maluskova; Ludek Voska; Alena Parikova; Janka Slatinska; Philip F Halloran; Ondrej Viklicky
Journal:  Sci Rep       Date:  2020-12-17       Impact factor: 4.379

5.  Early isolated V-lesion may not truly represent rejection of the kidney allograft.

Authors:  Mariana Wohlfahrtova; Petra Hruba; Jiri Klema; Marek Novotny; Zdenek Krejcik; Viktor Stranecky; Eva Honsova; Petra Vichova; Ondrej Viklicky
Journal:  Clin Sci (Lond)       Date:  2018-10-29       Impact factor: 6.124

6.  Molecular Fingerprints of Borderline Changes in Kidney Allografts Are Influenced by Donor Category.

Authors:  Petra Hruba; Zdenek Krejcik; Michaela Dostalova Merkerova; Jiri Klema; Viktor Stranecky; Janka Slatinska; Jana Maluskova; Eva Honsova; Ondrej Viklicky
Journal:  Front Immunol       Date:  2020-03-25       Impact factor: 7.561

Review 7.  Transcriptome Analysis in Renal Transplant Biopsies Not Fulfilling Rejection Criteria.

Authors:  Francesc Moreso; Joana Sellarès; María José Soler; Daniel Serón
Journal:  Int J Mol Sci       Date:  2020-03-24       Impact factor: 5.923

8.  Activity-based protein profiling guided identification of urine proteinase 3 activity in subclinical rejection after renal transplantation.

Authors:  Mario Navarrete; Brice Korkmaz; Carla Guarino; Adam Lesner; Ying Lao; Julie Ho; Peter Nickerson; John A Wilkins
Journal:  Clin Proteomics       Date:  2020-06-16       Impact factor: 3.988

9.  A Rejection Gene Expression Score in Indication and Surveillance Biopsies Is Associated with Graft Outcome.

Authors:  Betty Chamoun; Anna Caraben; Irina B Torres; Joana Sellares; Raquel Jiménez; Néstor Toapanta; Ignacio Cidraque; Alejandra Gabaldon; Manel Perelló; Ricardo Gonzalo; Francisco O'Valle; Francesc Moreso; Daniel Serón
Journal:  Int J Mol Sci       Date:  2020-11-03       Impact factor: 5.923

  9 in total

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