Literature DB >> 14704720

Genome-wide gene-expression patterns of donor kidney biopsies distinguish primary allograft function.

Peter Hauser1, Christoph Schwarz, Christa Mitterbauer, Heinz M Regele, Ferdinand Mühlbacher, Gert Mayer, Paul Perco, Bernd Mayer, Timothy W Meyer, Rainer Oberbauer.   

Abstract

Roughly 25% of cadaveric, but rarely living donor renal transplant recipients, develop postischemic acute renal failure, which is a main risk factor for reduced long-term allograft survival. An accurate prediction of recipients at risk for ARF is not possible on the basis of donor kidney morphology or donor/recipient demographics. We determined the genome-wide gene-expression pattern using cDNA microarrays in three groups of 36 donor kidney wedge biopsies: living donor kidneys with primary function, cadaveric donor kidneys with primary function and cadaveric donor kidneys with biopsy proven acute renal failure. The descriptive genes were characterized in gene ontology terms to determine their functional role. The validation of microarray experiments was performed by real-time PCR. We retrieved 132 genes after maxT adjustment for multiple testing that significantly separated living from cadaveric kidneys, and 48 genes that classified the donor kidneys according to their post-transplant course. The main functional roles of these genes are cell communication, apoptosis and inflammation. In particular, members of the complement cascade were activated in cadaveric, but not in living donor kidneys. Thus, suppression of inflammation in the cadaveric donor might be a cheap and promising intervention for postischemic acute renal failure.

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Year:  2004        PMID: 14704720     DOI: 10.1038/labinvest.3700037

Source DB:  PubMed          Journal:  Lab Invest        ISSN: 0023-6837            Impact factor:   5.662


  28 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

Review 3.  Molecular pathways involved in loss of graft function in kidney transplant recipients.

Authors:  Valeria R Mas; Kellie J Archer; Mariano Scian; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2010-04       Impact factor: 5.225

4.  Pretransplant transcriptome profiles identify among kidneys with delayed graft function those with poorer quality and outcome.

Authors:  Valeria R Mas; Mariano J Scian; Kellie J Archer; Jihee L Suh; Krystle G David; Qing Ren; Todd W B Gehr; Anne L King; Marc P Posner; Thomas F Mueller; Daniel G Maluf
Journal:  Mol Med       Date:  2011-09-06       Impact factor: 6.354

5.  Identification of biomarkers to assess organ quality and predict posttransplantation outcomes.

Authors:  Mariano J Scian; Daniel G Maluf; Kellie J Archer; Stephen D Turner; Jihee L Suh; Krystle G David; Anne L King; Marc P Posner; Kenneth L Brayman; Valeria R Mas
Journal:  Transplantation       Date:  2012-10-27       Impact factor: 4.939

6.  Expression of complement components differs between kidney allografts from living and deceased donors.

Authors:  Maarten Naesens; Li Li; Lihua Ying; Poonam Sansanwal; Tara K Sigdel; Szu-Chuan Hsieh; Neeraja Kambham; Evelyne Lerut; Oscar Salvatierra; Atul J Butte; Minnie M Sarwal
Journal:  J Am Soc Nephrol       Date:  2009-05-14       Impact factor: 10.121

7.  Gene Expression in Biopsies of Acute Rejection and Interstitial Fibrosis/Tubular Atrophy Reveals Highly Shared Mechanisms That Correlate With Worse Long-Term Outcomes.

Authors:  B D Modena; S M Kurian; L W Gaber; J Waalen; A I Su; T Gelbart; T S Mondala; S R Head; S Papp; R Heilman; J J Friedewald; S M Flechner; C L Marsh; R S Sung; H Shidban; L Chan; M M Abecassis; D R Salomon
Journal:  Am J Transplant       Date:  2016-03-15       Impact factor: 8.086

8.  Microarray and bioinformatics analysis of gene expression in experimental membranous nephropathy.

Authors:  Peter V Hauser; Paul Perco; Irmgard Mühlberger; Jeffrey Pippin; Mary Blonski; Bernd Mayer; Charles E Alpers; Rainer Oberbauer; Stuart J Shankland
Journal:  Nephron Exp Nephrol       Date:  2009-04-18

Review 9.  Proteomics for biomarker discovery in acute kidney injury.

Authors:  Prasad Devarajan
Journal:  Semin Nephrol       Date:  2007-11       Impact factor: 5.299

Review 10.  In praise of arrays.

Authors:  Lihua Ying; Minnie Sarwal
Journal:  Pediatr Nephrol       Date:  2008-06-21       Impact factor: 3.714

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