Understanding divergent host responses towards SARS-CoV-2 infection through precision immunology (COVIMMUNE)
- Funded by Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
- Total publications:3 publications
Grant number: 01KI20343
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Key facts
Disease
COVID-19Start & end year
20202021Known Financial Commitments (USD)
$2,778,578.48Funder
Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)Principal Investigator
PendingResearch Location
GermanyLead Research Institution
Universität BonnResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Prognostic factors for disease severity
Special Interest Tags
N/A
Study Type
Clinical
Clinical Trial Details
Unspecified
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
SARS-CoV-2 infection can trigger a spectrum of host responses ranging from no symptoms to acute respiratory distress syndrome, multi-organ failure and death. Recovered individuals mount an effective immunity, however, some survivors develop COVID-19-associated morbidities, such as lung fibrosis or neurological symptoms. We postulate that the individual immune response during the course of SARS-CoV-2 infection may be an outcome-relevant factor. We have devised a precision immunology approach to systematically study immune functions in SARS-CoV-2-infected individuals that remain asymptomatic or develop COVID-19 with different levels of disease severity. Our central hypothesis is that innate and adaptive immune responses towards SARS-CoV-2 infection are influenced by genetic, epigenetic and environmental factors, which determine the host's ability to mount an efficient and appropriately controlled immune response and that may influence the development of COVID-19-associated pathologies. COVIMMUNE connects clinicians with core expertise in relevant clinical disciplines with experts in virology, immunology, bioinformatics and systems biology. Our approach aims to identify the factors that determine the immune response and clinical outcome of SARS-CoV-2 infection and will reveal predictive signatures to facilitate the development of superior biomarkers for disease susceptibility and personalized treatment.
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