Literature DB >> 19155987

Histogenomics: association of gene expression patterns with histological parameters in kidney biopsies.

Paul Perco1, Alexander Kainz, Julia Wilflingseder, Afschin Soleiman, Bernd Mayer, Rainer Oberbauer.   

Abstract

BACKGROUND: Several studies investigated the association of histologic scores of donor kidney biopsies obtained before engraftment with posttransplant outcomes. Discrimination and goodness of fit of these scores, however, is low.
METHODS: Thus, we sought to identify and elucidate the performance of molecular rather than histologic markers for this purpose using whole genome gene expression microarray experiments.
RESULTS: We identified 80 unique differentially regulated genes in 82 samples, showing no histologic damage versus those with histologic damage, based on the Chronic Allograft Damage Index (CADI) and acute tubular injury. Main biological categories enriched with up-regulated genes in damaged tissue were "immunity and defense," "cell communication," or "apoptosis." Interestingly, genes involved in cell structure, cell adhesion, and protein trafficking were specific for tubular atrophy. Histology (CADI score) explained only 14% of the variability of 1 year creatinine (adjusted R2 for panel-reactive antibodies, biopsy confirmed acute rejection, and sum of human leukocyte antigen mismatches) whereas a combination of three biomarkers without clinical covariables explained 28%. The three molecular markers are the NLR family, pyrin domain containing 2 (NLRP2), immunoglobulin J polypeptide, and the regulator of G-protein signaling 5.
CONCLUSION: In summary, we identified biomarkers in transplant kidney biopsies, which are predictive for medium-term allograft function.

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Year:  2009        PMID: 19155987     DOI: 10.1097/TP.0b013e318191b4c0

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


  19 in total

Review 1.  Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Authors:  Thomas F Mueller; Kim Solez; Valeria Mas
Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

Review 2.  Integrative analysis of -omics data and histologic scoring in renal disease and transplantation: renal histogenomics.

Authors:  Paul Perco; Rainer Oberbauer
Journal:  Semin Nephrol       Date:  2010-09       Impact factor: 5.299

3.  NLR functions beyond pathogen recognition.

Authors:  Thomas A Kufer; Philippe J Sansonetti
Journal:  Nat Immunol       Date:  2011-02       Impact factor: 25.606

Review 4.  Detecting adaptive immunity: applications in transplantation monitoring.

Authors:  Georg A Böhmig; Markus Wahrmann; Marcus D Säemann
Journal:  Mol Diagn Ther       Date:  2010-02-01       Impact factor: 4.074

Review 5.  Clinical and public health implications of emerging genetic technologies.

Authors:  Anne-Marie Laberge; Wylie Burke
Journal:  Semin Nephrol       Date:  2010-03       Impact factor: 5.299

6.  Fibrosis with inflammation at one year predicts transplant functional decline.

Authors:  Walter D Park; Matthew D Griffin; Lynn D Cornell; Fernando G Cosio; Mark D Stegall
Journal:  J Am Soc Nephrol       Date:  2010-09-02       Impact factor: 10.121

Review 7.  Clinical role of the renal transplant biopsy.

Authors:  Winfred W Williams; Diana Taheri; Nina Tolkoff-Rubin; Robert B Colvin
Journal:  Nat Rev Nephrol       Date:  2012-01-10       Impact factor: 28.314

Review 8.  Pharmacogenomics: a new paradigm to personalize treatments in nephrology patients.

Authors:  G Zaza; S Granata; F Sallustio; G Grandaliano; F P Schena
Journal:  Clin Exp Immunol       Date:  2009-11-24       Impact factor: 4.330

Review 9.  Deconvoluting the 'omics' for organ transplantation.

Authors:  Minnie M Sarwal
Journal:  Curr Opin Organ Transplant       Date:  2009-10       Impact factor: 2.640

10.  miRNA profiling discriminates types of rejection and injury in human renal allografts.

Authors:  Julia Wilflingseder; Heinz Regele; Paul Perco; Alexander Kainz; Afschin Soleiman; Ferdinand Mühlbacher; Bernd Mayer; Rainer Oberbauer
Journal:  Transplantation       Date:  2013-03-27       Impact factor: 4.939

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