For renal function as it is traditionally considered the best overall index of function in health and disease. [20] The National Kidney Foundation now recommends the MDRD 4 to estimate the GFR and better detect 1317923 early onset kidney disease. Although the eGFR is considered to be the best overall index of renal function, it is relatively insensitive at detecting early renal disease and does not correlate well with tubular dysfunction [21,22]. We have previously shown that CDKN2A is stronger than donor 4EGI-1 custom synthesis Chronological age (DCA) at predicting post transplant function when serum creatinine is used as the marker for renal function. [7] However, when eGFR is used to measure renal function, DCA seemed to have a better predictive power thanCDKN2A (Tables 2 and 3). Further univariate regression analysis revealed that the predictive power of CDKN2A on eGFR was almost equal to that of ECD kidney criteria (Tables 2 and 3). In multivariate analysis, the only statistically significant contribution to both models is CDKN2A, indicating it’s predictive superiority in this limited cohort. Despite increasing efforts by the transplant community to increase the availability of donor organs, there remains a significant shortfall with several thousand patients dying on the waiting list each year. The introduction of ECD kidneys has improved the quantitative discrepancy of such organs but we are still a distance from achieving satisfactory targets. Novel techniques of organ discrimination are therefore 1315463 of huge importance in this respect. With the standard incorporation of biomarkers in assessing organ 4 IBP web quality pre-operatively, it would seem logical that transplantation would be safer and an increase inFigure 3. Scatterplots showing the primary significant relationship between CDKN2A and renal function, as measured by MDRD 4 eGFR at a) 6 months and b) 1 year. a.CDKN2A vs MDRD 4 eGFR at 6 months. n = 33, CC: 20.403, p = 0.020. b.CDKN2A vs MDRD 4 eGFR at 1 year. n = 32, CC: 20.439, p = 0.012. doi:10.1371/journal.pone.0068133.gPre-Transplant CDKN2A Predicts Renal FunctionTable 2. Univariate linear regression analysis showing the predictive power of CDKN2A, telomere length and other relevant clinical variables on renal function at 6 months.Table 3. Univariate linear regression analysis showing the predictive power of CDKN2A, telomere length and other relevant clinical variables on renal function at 1 year.VariableMDRD 4 eGFR at 6 months n Adjusted R 0.135 0.079 0.143 0.029 0.121 0.051 0.057 20.008 20.009 0.000 0.019 20.001 20.VariableMDRD 4 eGFR at 1 year n Adjusted R2 0.166 0.079 0.214 0.028 0.174 0.069 0.075 20.011 20.010 0.000 0.014 20.009 0.001 p-value 0.012 0.041 ,0.001 0.048 ,0.001 0.005 0.004 ns ns ns ns ns nsp-value 0.020 0.038 ,0.001 0.040 ,0.001 0.011 0.007 ns ns ns ns ns ns CDKN2A expression Telomere Length Donor Chronological Age GN in recipient ECD Kidney Donor Hypertension CVA in Donor Donor pre-retrieval Creatinine .133 mMol/L Mismatch at A, B and DR Loci Previous Transplant Cold Ischaemic Time Donor Sex DCD/DBDCDKN2A expression Telomere Length Donor Chronological Age GN in recipient ECD Kidney Donor Hypertension CVA in Donor Donor pre-retrieval Creatinine .133 mMol/L Mismatch at A, B and DR Loci Previous Transplant Cold Ischaemic Time Donor Sex DCD/DBD33 43 120 112 118 107 111 110 114 120 114 12032 41 104 105 103 100 95 95 98 104 98 105Note the superior predictive strength of CDKN2A when compared to telomere length. (GN: Glomerulonephritis, DCD: Donation.For renal function as it is traditionally considered the best overall index of function in health and disease. [20] The National Kidney Foundation now recommends the MDRD 4 to estimate the GFR and better detect 1317923 early onset kidney disease. Although the eGFR is considered to be the best overall index of renal function, it is relatively insensitive at detecting early renal disease and does not correlate well with tubular dysfunction [21,22]. We have previously shown that CDKN2A is stronger than donor chronological age (DCA) at predicting post transplant function when serum creatinine is used as the marker for renal function. [7] However, when eGFR is used to measure renal function, DCA seemed to have a better predictive power thanCDKN2A (Tables 2 and 3). Further univariate regression analysis revealed that the predictive power of CDKN2A on eGFR was almost equal to that of ECD kidney criteria (Tables 2 and 3). In multivariate analysis, the only statistically significant contribution to both models is CDKN2A, indicating it’s predictive superiority in this limited cohort. Despite increasing efforts by the transplant community to increase the availability of donor organs, there remains a significant shortfall with several thousand patients dying on the waiting list each year. The introduction of ECD kidneys has improved the quantitative discrepancy of such organs but we are still a distance from achieving satisfactory targets. Novel techniques of organ discrimination are therefore 1315463 of huge importance in this respect. With the standard incorporation of biomarkers in assessing organ quality pre-operatively, it would seem logical that transplantation would be safer and an increase inFigure 3. Scatterplots showing the primary significant relationship between CDKN2A and renal function, as measured by MDRD 4 eGFR at a) 6 months and b) 1 year. a.CDKN2A vs MDRD 4 eGFR at 6 months. n = 33, CC: 20.403, p = 0.020. b.CDKN2A vs MDRD 4 eGFR at 1 year. n = 32, CC: 20.439, p = 0.012. doi:10.1371/journal.pone.0068133.gPre-Transplant CDKN2A Predicts Renal FunctionTable 2. Univariate linear regression analysis showing the predictive power of CDKN2A, telomere length and other relevant clinical variables on renal function at 6 months.Table 3. Univariate linear regression analysis showing the predictive power of CDKN2A, telomere length and other relevant clinical variables on renal function at 1 year.VariableMDRD 4 eGFR at 6 months n Adjusted R 0.135 0.079 0.143 0.029 0.121 0.051 0.057 20.008 20.009 0.000 0.019 20.001 20.VariableMDRD 4 eGFR at 1 year n Adjusted R2 0.166 0.079 0.214 0.028 0.174 0.069 0.075 20.011 20.010 0.000 0.014 20.009 0.001 p-value 0.012 0.041 ,0.001 0.048 ,0.001 0.005 0.004 ns ns ns ns ns nsp-value 0.020 0.038 ,0.001 0.040 ,0.001 0.011 0.007 ns ns ns ns ns ns CDKN2A expression Telomere Length Donor Chronological Age GN in recipient ECD Kidney Donor Hypertension CVA in Donor Donor pre-retrieval Creatinine .133 mMol/L Mismatch at A, B and DR Loci Previous Transplant Cold Ischaemic Time Donor Sex DCD/DBDCDKN2A expression Telomere Length Donor Chronological Age GN in recipient ECD Kidney Donor Hypertension CVA in Donor Donor pre-retrieval Creatinine .133 mMol/L Mismatch at A, B and DR Loci Previous Transplant Cold Ischaemic Time Donor Sex DCD/DBD33 43 120 112 118 107 111 110 114 120 114 12032 41 104 105 103 100 95 95 98 104 98 105Note the superior predictive strength of CDKN2A when compared to telomere length. (GN: Glomerulonephritis, DCD: Donation.