Computational Biology: Modeling Chronic Renal Allograft Injury

Computational Biology: Modeling Chronic Renal Allograft Injury

New approaches are needed to develop more effective interventions to prevent long-term rejection of organ allografts. Computational biology provides a powerful tool to assess the large amount of complex data that is generated in longitudinal studies in this area. This manuscript outlines how our two groups are using mathematical modeling to analyze predictors of graft loss using both clinical a...

Chronic renal allograft dysfunction.

The major causes of renal transplant loss are death from vascular, malignant or infectious disease, and loss of the allograft from chronic renal dysfunction associated with the development of graft fibrosis and glomerulosclerosis. Chronic allograft nephropathy (CAN) is the histologic description of the fibrosis, vascular and glomerular damage occurring in renal allografts. Clinical programs rel...

The role of chemokines in acute renal allograft rejection and chronic allograft injury.

Short and long term outcome of renal transplantation are determined by acute and chronic rejection processes. In acute transplant rejection, expression of chemokines occurs in different renal compartments where it is triggered through various stimuli e.g. brain death, ischemia, reperfusion, and HLA-mismatch. The induction of chemokine expression precedes the process of organ recovery and extend...

Prevention of Acute Renal Allograft Injury

Urinary Calprotectin and Posttransplant Renal Allograft Injury

OBJECTIVE Current methods do not predict the acute renal allograft injury immediately after kidney transplantation. We evaluated the diagnostic performance of urinary calprotectin for predicting immediate posttransplant allograft injury. METHODS In a multicenter, prospective-cohort study of 144 incipient renal transplant recipients, we postoperatively measured urinary calprotectin using an en...