Regensburg, Germany, May 18, 2018 – numares AG today announced the initiation of PARASOL, a European multicenter study, to continue building upon the clinical case from the results of the UMBRELLA study. AXINON® renalTX-SCORE® is a non-invasive, urine-based CE-marked in-vitro diagnostic test (IVD) for the diagnosis of kidney transplant rejection. It was launched in Europe in 2017 and is the first test available worldwide to evaluate a metabolic constellation rather than single biomarkers for the diagnosis of an acute rejection after transplantation.
“AXINON® renalTX-SCORE® has the potential to support a physician’s diagnosis and therefore to reduce the number of unnecessary biopsies,” said Volker Pfahlert, chairman of the executive board of numares AG. “The original UMBRELLA study, which will be presented at two upcoming conferences, The American Transplant Congress (ATC) in May in Seattle, WA, and the 27th International Congress of The Transplantation Society (TTS) in July in Madrid, generated the data that led to its CE-mark. PARASOL will build on this initial study to generate stronger health economic and clinical use case data that will be helpful in discussions with health systems. First results of this study are expected in 3Q18, and initiation of a similar trial in the U.S. is expected toward the end of 2018.”
The randomized, multi-center study will enroll approximately 600 patients at five sites located in Regensburg, Germany, Vienna, Austria, Prague, Czech Republic, Grenoble, France and Barcelona, Spain. It will evaluate the use of the four-biomarker metabolic constellation for the detection of acute kidney allograft rejection of urine samples from patients at least 14 days after transplantation who are scheduled for renal allograft biopsy.
numares’ approach utilizes the effects of a disease on the dynamics of human metabolism. These effects can be recognized as specific changes in metabolites caused by readjustments of the metabolic machinery due to the disease. The AXINON® renalTX-SCORE® test evaluates the status of a metabolite constellation, rather than quantifying just one or a few biomarkers as with more traditional diagnostics. The metabolic constellation is deciphered by employing machine learning tools to evaluate a large number of metabolites for inclusion in the constellation consisting of a small number of metabolites.
AXINON® renalTX-SCORE® was developed in collaboration with Professor Bernhard Banas, Head of the Transplant Center at the Regensburg University Hospital in Germany.
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The Ruth Group
Robert Flamm, Ph.D.