Christian Koppelstaetter and Gabriele Schratzberger contributed equally to this work.
Markers of cellular senescence in zero hour biopsies predict outcome in renal transplantation
Article first published online: 28 JUN 2008
© 2008 The Authors. Journal compilation © Blackwell Publishing Ltd/Anatomical Society of Great Britain and Ireland 2008
Volume 7, Issue 4, pages 491–497, August 2008
How to Cite
Koppelstaetter, C., Schratzberger, G., Perco, P., Hofer, J., Mark, W., Öllinger, R., Oberbauer, R., Schwarz, C., Mitterbauer, C., Kainz, A., Karkoszka, H., Wiecek, A., Mayer, B. and Mayer, G. (2008), Markers of cellular senescence in zero hour biopsies predict outcome in renal transplantation. Aging Cell, 7: 491–497. doi: 10.1111/j.1474-9726.2008.00398.x
We declare that we have no conflict of interest. The funding source of this study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. All authors had full access to all data of the study. This study was approved by the Ethical Committees of all contributing institutions.
- Issue published online: 10 JUL 2008
- Article first published online: 28 JUN 2008
- Accepted for publication 20 March 2008
- biological organ age;
- kidney transplantation;
- long-term allograft function;
- telomere length;
- zero hour biopsy
Although chronological donor age is the most potent predictor of long-term outcome after renal transplantation, it does not incorporate individual differences of the aging-process itself. We therefore hypothesized that an estimate of biological organ age as derived from markers of cellular senescence in zero hour biopsies would be of higher predictive value. Telomere length and mRNA expression levels of the cell cycle inhibitors CDKN2A (p16INK4a) and CDKN1A (p21WAF1) were assessed in pre-implantation biopsies of 54 patients and the association of these and various other clinical parameters with serum creatinine after 1 year was determined. In a linear regression analysis, CDKN2A turned out to be the best single predictor followed by donor age and telomere length. A multiple linear regression analysis revealed that the combination of CDKN2A values and donor age yielded even higher predictive values for serum creatinine 1 year after transplantation. We conclude that the molecular aging marker CDKN2A in combination with chronological donor age predict renal allograft function after 1 year significantly better than chronological donor age alone.