SOURCE-LINKED INTELLIGENCE

Causative Link between respirAtory syncytial viRus and chronic lung diseases: Identifying Targets for therapY

CORDIS · observation · Publication date unknown

tic risk factors and RSV strains that contribute to severe bronchiolitis. We analyse how RSV perturbs intracellular networks to change cellular properties that trigger asthma development. We will use Artificial Intelligence (AI)-based techniques to integrate generated data with the current biological knowledge, to generate RSV-induced perturbation signatures and to identify drug-like compounds able to revert the effects of the RSV-induced perturbations. We will validate both mechanisms and candidate compounds in patient derived airway organoid models and, when promising, in a controlled human infection model trial. CLARITY will impact the understanding, prevention and possibly treatment of virus-triggered asthma. The results will enable development of a genetic risk score for long-term asthma development that enables personalised prevention campaigns, which will be developed jointly with patient groups. The molecular mechanisms discovered, and the drug-like compounds that revert the perturbation signatures, will enable development of mechanism-targeted drugs. Fundamentally, the mech

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recordType

award

status

SIGNED

region

EU

value

7054563

unit

EUR