Urinary cell mRNA profiles and differential diagnosis of acute kidney graft dysfunction.

Noninvasive tests to differentiate the basis for acute dysfunction of the kidney allograft are preferable to invasive allograft biopsies. We measured absolute levels of 26 prespecified mRNAs in urine samples collected from kidney graft recipients at the time of for-cause biopsy for acute allograft dysfunction and investigated whether differential diagnosis of acute graft dysfunction is feasible using urinary cell mRNA profiles. We profiled 52 urine samples from 52 patients with biopsy specimens indicating acute rejection (26 acute T cell-mediated rejection and 26 acute antibody-mediated rejection) and 32 urine samples from 32 patients with acute tubular injury without acute rejection. A stepwise quadratic discriminant analysis of mRNA measures identified a linear combination of mRNAs for CD3ε, CD105, TLR4, CD14, complement factor B, and vimentin that distinguishes acute rejection from acute tubular injury; 10-fold cross-validation of the six-gene signature yielded an estimate of the area under the curve of 0.92 (95% confidence interval, 0.86 to 0.98). In a decision analysis, the six-gene signature yielded the highest net benefit across a range of reasonable threshold probabilities for biopsy. Next, among patients diagnosed with acute rejection, a similar statistical approach identified a linear combination of mRNAs for CD3ε, CD105, CD14, CD46, and 18S rRNA that distinguishes T cell-mediated rejection from antibody-mediated rejection, with a cross-validated estimate of the area under the curve of 0.81 (95% confidence interval, 0.68 to 0.93). Incorporation of these urinary cell mRNA signatures in clinical decisions may reduce the number of biopsies in patients with acute dysfunction of the kidney allograft.

[1]  A. Mehdizadeh,et al.  Supplementary References , 2022 .

[2]  Benjamin R Saville,et al.  Decision curve analysis. , 2015, JAMA.

[3]  D. Goldfarb,et al.  Urinary-cell mRNA profile and acute cellular rejection in kidney allografts. , 2013, The Journal of urology.

[4]  Michael Abecassis,et al.  Urinary-cell mRNA profile and acute cellular rejection in kidney allografts. , 2013, The New England journal of medicine.

[5]  V. Sharma,et al.  Discovery and Validation of a Molecular Signature for the Noninvasive Diagnosis of Human Renal Allograft Fibrosis , 2012, Transplantation.

[6]  N. Heyne,et al.  Urinary Neutrophil Gelatinase-Associated Lipocalin Accurately Detects Acute Allograft Rejection Among Other Causes of Acute Kidney Injury in Renal Allograft Recipients , 2012, Transplantation.

[7]  N. Najafian,et al.  Derivation and validation of a cytokine-based assay to screen for acute rejection in renal transplant recipients. , 2012, Clinical journal of the American Society of Nephrology : CJASN.

[8]  R. Colvin,et al.  Clinical role of the renal transplant biopsy , 2012, Nature Reviews Nephrology.

[9]  V. Sharma,et al.  Urinary Cell Levels of mRNA for OX40, OX40L, PD-1, PD-L1, or PD-L2 and Acute Rejection of Human Renal Allografts , 2010, Transplantation.

[10]  N. Obuchowski,et al.  Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures , 2010, Epidemiology.

[11]  B. Mayer,et al.  Histogenomics: Association of Gene Expression Patterns With Histological Parameters in Kidney Biopsies , 2009, Transplantation.

[12]  A. Vickers Decision Analysis for the Evaluation of Diagnostic Tests, Prediction Models, and Molecular Markers , 2008, The American statistician.

[13]  V. Sharma,et al.  Epidemiology of BK Virus in Renal Allograft Recipients: Independent Risk Factors for BK Virus Replication , 2008, Transplantation.

[14]  Ewout W Steyerberg,et al.  Decision Curve Analysis: A Discussion , 2008, Medical decision making : an international journal of the Society for Medical Decision Making.

[15]  E. Elkin,et al.  Decision Curve Analysis: A Novel Method for Evaluating Prediction Models , 2006, Medical decision making : an international journal of the Society for Medical Decision Making.

[16]  M. Haubitz,et al.  ELEVATED NUMBERS OF CIRCULATING ENDOTHELIAL CELLS IN RENAL TRANSPLANT RECIPIENTS , 2003, Transplantation.

[17]  M. Sarwal,et al.  Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling. , 2003, The New England journal of medicine.

[18]  N Taub,et al.  International variation in the interpretation of renal transplant biopsies: report of the CERTPAP Project. , 2001, Kidney international.

[19]  M. Suthanthiran,et al.  Noninvasive diagnosis of renal-allograft rejection by measurement of messenger RNA for perforin and granzyme B in urine. , 2001, The New England journal of medicine.

[20]  R. Colvin,et al.  The clinical usefulness of the renal allograft biopsy in the cyclosporine era: a prospective study. , 1998, Transplantation.

[21]  S. Hariharan,et al.  Importance of allograft biopsy in renal transplant recipients: correlation between clinical and histological diagnosis. , 1998, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[22]  M. Raftery,et al.  Diagnostic contribution of renal allograft biopsies at various intervals after transplantation. , 1997, Transplantation.

[23]  G. Einecked,et al.  Banff 07 Classification of Renal Allograft Pathology : Updates and Future Directions , 2008 .

[24]  J. Stockman Messenger RNA for FOXP3 in the Urine of Renal-Allograft Recipients , 2007 .