Current development status
Looking for a partner interested in a license and/or a collaboration agreement to develop and exploit this asset.
Fernández Veledo, Sonia; Serena Perelló, Carolina; Vendrell Ortega, Joan Josep; Ceperuelo Mallafré, Victoria; Calvo Manso, Enrique
02.07.2019
EP19382564.3
PCT/EP2020/068219
WO2021001303
Bariatric surgery has emerged as an effective treatment for obesity, but there is limited evidence regarding the optimal candidate for each surgical procedure and remission rates of type 2 diabetes observed across published series vary. New tools are needed to better predict diabetes remission according to the surgical procedures in order to avoid unnecessarily aggressive surgeries and improve health outcomes.
The main innovate aspect of the method is that it is based on a single circulating metabolite that can be easily measured in blood. It is a single measurement that can be used independently of previously described pre-surgical factors and improves the current available scores to guide the decision on the type of bariatric surgery to achieve type 2 diabetes remission.
The technology DiaSuc provides a method for selecting a bariatric surgical procedure for a patient, as well as an informative biomarker for predicting, before bariatric surgery, type 2 diabetes remission after bariatric surgery in a patient suffering from type 2 diabetes.
The method has been described in a cohort of 45 subjects and confirmed in an independent validation cohort of 88 patients from a different centre.
Surgery, Medical Health related, Diagnostic, Therapeutic, Other therapeutic (including defibrillators), Clinical Medicine, Surgery and Anaesthesiology, obesity, bariàtric, non-invasive, diabetes
