Transcriptional profiling of belatacept and calcineurin inhibitor therapy in renal allograft recipients.

Calcineurin inhibitor (CNI) use may lead to allograft injury and compromised renal function. Gene expression profiles of 12-month kidney biopsies from a Phase 3 study of belatacept and a CNI comparator, cyclosporine (CsA), were compared with expression profiles of a set of historical, demographically matched, preimplantation control biopsies. Gene set enrichment analysis was used to test each set of differentially expressed genes (DEGs) for the enrichment of an in vitro-derived CNI toxicity (CNIT) gene set and published gene sets associated with chronic allograft injury (CAI), immune modulation and tissue remodeling. The unique set of genes differentially expressed in CNI biopsies compared with preimplantation controls was enriched for genes associated with fibrosis, early tubulointerstitial damage and in vitro CNIT. The DEGs from belatacept biopsies were not enriched for the CNIT genes but, instead, exhibited enrichment for gene sets associated with immune response and tissue remodeling. A combined analysis of DEGs across both treatment groups identified select solute transporter and cellular differentiation genes whose expression at 12 months correlated with renal function at 36 months. These results provide mechanistic insights into the reduced CAI and higher renal function observed in belatacept- versus CsA-treated patients.

A peripheral blood diagnostic test for acute rejection in renal transplantation.

Monitoring of renal graft status through peripheral blood (PB) rather than invasive biopsy is important as it will lessen the risk of infection and other stresses, while reducing the costs of rejection diagnosis. Blood gene biomarker panels were discovered by microarrays at a single center and subsequently validated and cross-validated by QPCR in the NIH SNSO1 randomized study from 12 US pediatric transplant programs. A total of 367 unique human PB samples, each paired with a graft biopsy for centralized, blinded phenotype classification, were analyzed (115 acute rejection (AR), 180 stable and 72 other causes of graft injury). Of the differentially expressed genes by microarray, Q-PCR analysis of a five gene-set (DUSP1, PBEF1, PSEN1, MAPK9 and NKTR) classified AR with high accuracy. A logistic regression model was built on independent training-set (n = 47) and validated on independent test-set (n = 198)samples, discriminating AR from STA with 91% sensitivity and 94% specificity and AR from all other non-AR phenotypes with 91% sensitivity and 90% specificity. The 5-gene set can diagnose AR potentially avoiding the need for invasive renal biopsy. These data support the conduct of a prospective study to validate the clinical predictive utility of this diagnostic tool.