A novel, semiquantitative, clinically correlated calcineurin inhibitor toxicity score for renal allograft biopsies.

Calcineurin inhibitor toxicity (CNIT) is an important cause of chronic allograft nephropathy (CAN), but clinically relevant, diagnostic pathologic criteria remain to be defined. A semiquantitative, clinically correlative CNIT scoring system was developed and validated by pathologic analyses of 254 renal transplant biopsies that were obtained from 50 consecutive pediatric renal transplant recipients. Differentially weighted pathologic criteria (glomerulosclerosis, tubular atrophy, arteriolar medial hyaline, and tubular isometric vacuolization) contributed to the composite CNIT model score. Unlike other established pathology chronicity scores, such as the chronic allograft damage index, Banff, and modified Banff, the CNIT score was highly correlated with future graft function. The 3-mo CNIT score correlated significantly with 12 mo (P = 0.021) and 24 mo (P = 0.03) calculated creatinine clearance. Arteriolar medial hyalinosis seems to be the most important factor contributing to the clinical impact of the CNIT score.

Subclinical cytomegalovirus and Epstein-Barr virus viremia are associated with adverse outcomes in pediatric renal transplantation.

Post-transplant clinical disease with cytomegalovirus (CMV) and Epstein-Barr virus (EBV) is a known risk factor for graft dysfunction and lymphoproliferation. We postulate that subclinical, asymptomatic viremia also adversely impacts outcomes, and may warrant re-assessment of current monitoring and antiviral prophylaxis protocols. A single-center study was conducted on 102 pediatric (51 steroid-free and 51 matched steroid-based historical controls). Quantitative viral loads were serially monitored and correlated with outcome measures. Overall, the incidence of CMV and EBV clinical disease was 5% (1% CMV and 4% EBV); however, the incidence of subclinical viremia was 44% (12.7% CMV, 38.2% EBV, 6.9% CMV + EBV). Risk factors for subclinical viremia were EBV naivety (p = 0.07), age less than five yr (p = 0.04), lack of prophylaxis (p = 0.01), and steroid usage (p = 0.0007). Subclinical viremia was associated with lower three-yr graft function (p = 0.03), increased risk of acute rejection (odds ratio 2.07; p = 0.025), hypertension (p = 0.04), and graft loss (p = 0.03). Subclinical asymptomatic CMV and EBV viremia is a risk factor for graft injury and loss. These findings support the need for aggressive, serial viral monitoring to better determine the appropriate length of post-transplant antiviral prophylaxis, and to determine the effect of immunosuppression protocols on the development of viremia.

Microarrays: interrogating the transplant transcriptosome.

The use of DNA microarrays as a hypothesis generation tool for determining gene expression differences across thousands of genes in a data set is increasing. Recently, the use of microarrays has been applied to the transplant field and holds great promise for unraveling the mechanisms at play in various transplant processes and for identifying new tissue-specific and noninvasive biomarkers predictive of clinical outcomes. As microarrays produce large amounts of data, bioinformatics tools are being developed to determine gene expression patterns. Gene clustering and class prediction tools aid in the discovery of molecular signatures in different disease processes while literature mining, gene family analysis and pathway analysis helps in understanding the biological relevance of these signatures. This chapter focuses on DNA microarrays, their application to transplantation, and reviews key research studies where DNA microarrays are applied to understand acute rejection, chronic rejection and tolerance in human transplantation.