EP PerMed JTC2024 PMTargets - AAP2024 transnational dans le cadre de l'EP PerMed 2024

– GALActIC

Résumé de soumission

Influenza-associated pulmonary aspergillosis (IAPA) occurs as a complication in up to 20% of critically ill influenza patients and is associated with a mortality rate of 50%, which is twice as high as in influenza-only patients. Diagnosing IAPA is difficult, resulting in delayed initiation of antifungal therapy and increased mortality. Hence, rapid identification of patients at risk to develop IAPA is urgently needed to allow patient stratification for personalized antifungal prophylaxis. We have recently identified a genetic variant located in LGALS3 that is associated with the development of IAPA. LGALS3 encodes galectin-3, which is implicated in antifungal immunity. In a discovery cohort, more than 65% of variant carriers developed IAPA. Here, we aim to validate the functional and clinical value of LGALS3 genetics for patient stratification in targeted antifungal prophylaxis. Functional assays using LGALS3 genotyped immune cells will be used to assess their phagocytosis and Aspergillus killing potential. These data will be integrated with existing immune/omics marker datasets to better understand the functional consequences of LGALS3 variation. The association between the LGALS3 variation and IAPA will be further validated in a large independent multicentric international cohort. We will also design and prepare a future interventional trial protocol using LGALS3 variation as a companion biomarker for patient stratification in personalized antifungal prophylaxis. Health economic analyses on the use of genetics as biomarker for stratifying prophylaxis will be performed, as well as a social sciences analyses, including patient organization involvement to empower the implementation of genetics-driven prophylaxis.

Coordination du projet

KULeuven (Université)

L'auteur de ce résumé est le coordinateur du projet, qui est responsable du contenu de ce résumé. L'ANR décline par conséquent toute responsabilité quant à son contenu.

Partenariat

KULeuven
Universidade do Minho
Medizinische Universität Graz
Stichting Radboud universitair medisch centrum
LIMOS Mines Saint-Etienne - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes

Aide de l'ANR 276 259 euros
Début et durée du projet scientifique : mars 2025 - 36 Mois

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