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Transcriptional response modules characterize IL-1β and IL-6 activity in COVID-19
Dysregulated IL-1β and IL-6 responses have been implicated in the pathogenesis of severe Coronavirus Disease 2019 (COVID-19). Innovative approaches for evaluating the biological activity of these cytokines in vivo are urgently needed to complement clinical trials of therapeutic targeting of IL-1β an...
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Published in: | iScience 2021-01, Vol.24 (1), p.101896-101896, Article 101896 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Dysregulated IL-1β and IL-6 responses have been implicated in the pathogenesis of severe Coronavirus Disease 2019 (COVID-19). Innovative approaches for evaluating the biological activity of these cytokines in vivo are urgently needed to complement clinical trials of therapeutic targeting of IL-1β and IL-6 in COVID-19. We show that the expression of IL-1β or IL-6 inducible transcriptional signatures (modules) reflects the bioactivity of these cytokines in immunopathology modelled by juvenile idiopathic arthritis (JIA) and rheumatoid arthritis. In COVID-19, elevated expression of IL-1β and IL-6 response modules, but not the cytokine transcripts themselves, is a feature of infection in the nasopharynx and blood but is not associated with severity of COVID-19 disease, length of stay, or mortality. We propose that IL-1β and IL-6 transcriptional response modules provide a dynamic readout of functional cytokine activity in vivo, aiding quantification of the biological effects of immunomodulatory therapies in COVID-19.
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•Transcriptional response modules reflect IL-1β and IL-6 activity in vivo•Response modules are superior to single gene transcripts in measuring cytokine activity•Elevated IL-1β and IL-6 activity is a feature of COVID-19 disease in blood and tissues•COVID-19 disease severity is not associated with greater IL-1β or IL-6 activity
Immunology; Virology; Transcriptomics |
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ISSN: | 2589-0042 2589-0042 |
DOI: | 10.1016/j.isci.2020.101896 |