New research conducted by the Paris Translational Research Center for Organ Transplantation team could help clinicians determine which patients will have a disease that usually occurs after a kidney transplant and which are at high risk of transplant failure. The results are published today in the prestigious Journal of the American Society of Nephrology (JASN).
Transplant glomerulopathy was first described and characterized 50 years ago. It is a disease associated with the loss of a kidney transplant and common after a transplant. It affects the functional units (i. e. glomeruli) of the transplanted kidney. There is currently no treatment for this heterogeneous disease.
This research, conducted on the largest cohort of patients with glomerulopathy, identified and characterized five distinct patient groups. By applying a machine learning approach to the global, clinical, histological and pathological data of patients obtained through biopsy. The data identified five groups of patients with distinct characteristics.
This research approach has been translated into a tool accessible to clinicians to assess the risk of graft loss in their patients. This will allow the individualization of patients' treatments according to their risk of transplant failure. 
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