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TU Dresden
Dept. for Innovative
Methods of Computing

Kidney transplantation

Kidney transplantation is the best therapy for endstage renal failure. The function of kidney transplants is however limited to an average of 15 years, due to various injuries like rejection, drug toxicity and infection that damage the transplant over time. Early and reliable diagnosis of these injuries is challenging with usual blood tests and transplant biopsies. Research of recent years has generated a wealth of molecular data in blood and urine samples from kidney transplant patients to unravel the mechanisms of transplant injury, to improve diagnosis and to predict outcome. These data obtained with different omics approaches - transciptomics, proteomics, peptidomics, lipidomics, metabolomics- are very complex and implementation into practical use is still pending.

We use methods of systems medicine to integrate these biomolecular data sets, together with clinical information and results of transplant biopsies by mathematical modelling. This new approach is expected to refine and improve the accuracy of diagnosing and predicting transplant injuries, a prerequisite for timely therapy.

Schema of kidney transplantation.


Prof. Dany Anglicheau (INSERM, Paris, France)
Prof. Dr. Wilfried Gwinner (Medizinische Hochschule Hannover)
Prof. Pierre Marquet (Limoges University, France)
Prof. Dr. Maarten Naesens (KU Leuven, Belgium)