Project: Patient Stratification by Standardization of the Image-based Sweat Test for Cystic Fibrosis for use in Clinical Routine
Acronym | Stracyfic (Reference Number: ERAPERMED2022-286) |
Duration | 01/06/2023 - 31/05/2026 |
Project Topic | The demonstration of a salty sweat has long been used to diagnose cystic fibrosis (CF), a rare disorder affecting 1 in 2,500 live births and associated with high morbidity and mortality. CF represents the most frequent recessive genetic disorder. CF is caused by CFTR mutations resulting in loss-of-function of the CFTR protein that mainly acts as a chloride channel. It leads to dramatic transepithelial ion and water transport abnormalities and produces a thick mucus obstructing airways and duct lumens of exocrine glands. Beyond complex treatments, mainly symptomatic, CFTR modulators have recently been developed to mitigate the mutation effects; there is however still no cure for CF. Moreover, there is an unmet need of validated biomarkers of CFTR function to quantify the remaining CFTR activity, e.g. to classify the level of the base defect and later assess the efficacy of target therapies. We aim at developing a usable common standard for the required experiments, the automated analysis via software and providing the experimental hardware setups for an easy dissemination of the technique to other sites. Networking transnational dedicated computer scientists, biologists, care givers and social scientists, the Stracyfic project addresses the aims of the ERAPerMed call by bringing a novel biomarker to a translational use level. Thus, further improving and standardizing the test setup and analysis across different sites and countries. Starting with partners from Belgium, France, Germany and Italy, this includes the generation and distribution of adequate training/teaching material. Social and ethical and also patient organizations are included to assess the impact of the transformation and guide the process. Stracyfic will offer a novel strategy to better classify and monitor patients by their individual level of the disease-causing effect. Enabling better detection as well as better management of the disease in the long run. |
Network | ERA PerMed |
Call | 5th Joint Transnational Call for Proposals (2022) |
Project partner
Number | Name | Role | Country |
---|---|---|---|
1 | University Medical Center Göttingen & University of Göttingen | Coordinator | Germany |
2 | Cliniques universitaires Saint-Luc, Université catholique de Louvain | Partner | Belgium |
3 | Institut national de la santé et de la recherche médicale | Partner | France |
4 | IRCCS Ca’ Granda Ospedale Maggiore Policlinico | Partner | Italy |
5 | Hamburg University of Applied Science | Partner | Germany |