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REACT

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Respiratory Host Pathogen Interaction

Lower respiratory tract infections resulting from seasonal epidemics and pandemics are among the leading causes of death globally. There is a paucity of treatment options for viral respiratory pathogens and patient care remains la... ver más

31/07/2026

Líder desconocido

8M€

Presupuesto del proyecto: 8M€

Líder del proyecto Líder desconocido

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-05-25

HORIZON-HLTH-2021-DISEASE-04-07: Personalised medicine and infectiou... Expected Outcome:This topic aims at supporting activities that are enabling or contributing to one o...

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1 Participantes

EREVNITIKO KENTRO VIOIATRIKO...

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Duración del proyecto: 50 meses Fecha Inicio: 2022-05-25
Fecha Fin: 2026-07-31

Líder del proyecto Líder desconocido

Presupuesto del proyecto 8M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Lower respiratory tract infections resulting from seasonal epidemics and pandemics are among the leading causes of death globally. There is a paucity of treatment options for viral respiratory pathogens and patient care remains largely supportive. This underscores a desperate need for identifying novel targets for prophylactic/treatment interventions and early prediction models of disease outcome to personalise treatment. The REACT consortium ? uniting high-level experts in virology, immunology, clinical medicine, epidemiology, and bioinformatics ? will assess genotypic, high-dimensional immunophenotypic, demographic and clinical data in the context of disease course to define host-pathogen interactions of viral respiratory tract infections, focusing on the predominating viruses i.e. influenza, respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In characterised, ethnically diverse clinical cohorts comprising patients with varying disease severities, we will genotype both virus and host, map deep immunological phenotypes spanning cellular, humoral and innate immunity, and characterise host responses in human nasal epithelial organoid models following viral infection. Novel bioinformatics approaches that include knowledge discovery and machine learning will be used to integrate and analyse multidisciplinary datasets to assess the individual and combined impact of factors on disease phenotype. Information on the deep characterisation of the dynamics of the immune responses to the chosen viruses and identified factors critical for viral control and immune protection will be made available on a dedicated project website to clinicians, researchers, health authorities, and public. This will provide direct and immediate access to our findings for further development of personalised treatment, therapeutic targets and vaccines in future trials and clinical practice to improve the wellbeing of the EU population and beyond.

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