Literature DB >> 15367214

Alterations in gene expression in cadaveric vs. live donor kidneys suggest impaired tubular counterbalance of oxidative stress at implantation.

Alexander Kainz1, Christa Mitterbauer, Peter Hauser, Christoph Schwarz, Heinz M Regele, Gabriela Berlakovich, Gert Mayer, Paul Perco, Bernd Mayer, Timothy W Meyer, Rainer Oberbauer.   

Abstract

Recipients of live donor transplant kidneys (LIV) exhibit a significantly longer allograft half-life compared with cadaveric donor organs (CADs). The reasons are incompletely understood. Therefore this study sought to elucidate the genome-wide gene expression profiles in microdissected transplant kidney biopsies obtained from five cadaveric and five matched live donors before transplantation. cDNA microarrays were used to determine the transcripts in isolated glomeruli (G) and the tubulointerstitial (TI) compartment. Data were subjected to hierarchical clustering, maxT adjustment and a jackknife procedure to ensure robustness of reported findings; validation was performed by independent analysis of split biopsies and TaqMan-PCR. One hundred and thirteen sequences representing 62 unique genes (17 redundant features), and 34 ESTs separated G from TI. No difference in gene expression was found in G between LIV and CAD kidneys, but nine genes (two represented twice) and three ESTs were abundantly expressed in the CAD TI compared with LIV. The main biological function of these genes is counter regulation of oxidative stress. Promoter analysis of significant features suggested coregulated gene groups. These data suggest that CAD kidneys exhibit a distinctly different set of transcripts in the TI compartment but not in the G compartment when compared with LIV kidneys.

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Year:  2004        PMID: 15367214     DOI: 10.1111/j.1600-6143.2004.00554.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  16 in total

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

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Journal:  Semin Immunopathol       Date:  2011-01-28       Impact factor: 9.623

2.  Low-density array PCR analysis of reperfusion biopsies: an adjunct to histological analysis.

Authors:  Paolo Cravedi; Umberto Maggiore; Roslyn B Mannon
Journal:  Nephrol Dial Transplant       Date:  2010-05-26       Impact factor: 5.992

Review 3.  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

4.  Discovery of SERPINA3 as a candidate urinary biomarker of lupus nephritis activity.

Authors:  Jessica L Turnier; Hermine I Brunner; Michael Bennett; Ashwaq Aleed; Gaurav Gulati; Wendy D Haffey; Sherry Thornton; Michael Wagner; Prasad Devarajan; David Witte; Kenneth D Greis; Bruce Aronow
Journal:  Rheumatology (Oxford)       Date:  2019-02-01       Impact factor: 7.580

5.  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

6.  Identifying biomarkers as diagnostic tools in kidney transplantation.

Authors:  Valeria R Mas; Thomas F Mueller; Kellie J Archer; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2011-03       Impact factor: 5.225

7.  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

8.  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

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

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

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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