Author: Neumann, Julika; Prezzemolo, Teresa; Vanderbeke, Lore; Roca, Carlos P; Gerbaux, Margaux; Janssens, Silke; Willemsen, Mathijs; Burton, Oliver; Van Mol, Pierre; Van Herck, Yannick; Wauters, Joost; Wauters, Els; Liston, Adrian; Humbletâ€Baron, Stephanie
Title: Increased ILâ€10â€producing regulatory T cells are characteristic of severe cases of COVIDâ€19 Cord-id: nng7x2u3 Document date: 2020_11_13
ID: nng7x2u3
Snippet: OBJECTIVES: The pandemic spread of the coronavirus SARSâ€CoVâ€2 is due, in part, to the immunological properties of the host–virus interaction. The clinical presentation varies from individual to individual, with asymptomatic carriers, mildâ€toâ€moderateâ€presenting patients and severely affected patients. Variation in immune response to SARSâ€CoVâ€2 may underlie this clinical variation. METHODS: Using a highâ€dimensional systems immunology platform, we have analysed the peripheral blo
Document: OBJECTIVES: The pandemic spread of the coronavirus SARSâ€CoVâ€2 is due, in part, to the immunological properties of the host–virus interaction. The clinical presentation varies from individual to individual, with asymptomatic carriers, mildâ€toâ€moderateâ€presenting patients and severely affected patients. Variation in immune response to SARSâ€CoVâ€2 may underlie this clinical variation. METHODS: Using a highâ€dimensional systems immunology platform, we have analysed the peripheral blood compartment of 6 healthy individuals, 23 mildâ€toâ€moderate and 20 severe COVIDâ€19 patients. RESULTS: We identify distinct immunological signatures in the peripheral blood of the mildâ€toâ€moderate and severe COVIDâ€19 patients, including Tâ€cell lymphopenia, more consistent with peripheral hypo†than hyperâ€immune activation. Unique to the severe COVIDâ€19 cases was a large increase in the proportion of ILâ€10â€secreting regulatory T cells, a lineage known to possess antiâ€inflammatory properties in the lung. CONCLUSION: As ILâ€10â€secreting regulatory T cells are known to possess antiâ€inflammatory properties in the lung, their proportional increase could contribute to a more severe COVIDâ€19 phenotype. We openly provide annotated data (https://flowrepository.org/experiments/2713) with clinical correlates as a systems immunology resource for the COVIDâ€19 research community.
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