Your browser doesn't support javascript.
loading
Transcriptional response modules characterise IL-1 and IL-6 activity in COVID-19
Lucy C K Bell; Cem Meydan; Jacob Kim; Jonathan Foox; Daniel Butler; Christopher E Mason; Sagi D Shapira; Mahdad Noursadeghi; Gabriele Pollara.
Afiliación
  • Lucy C K Bell; University College London
  • Cem Meydan; Weill Cornell Medicine
  • Jacob Kim; Columbia University
  • Jonathan Foox; Weill Cornell Medicine
  • Daniel Butler; Weill Cornell Medicine
  • Christopher E Mason; Weill Cornell Medicine
  • Sagi D Shapira; Columbia University
  • Mahdad Noursadeghi; University College London
  • Gabriele Pollara; University College London
Preprint en En | PREPRINT-BIORXIV | ID: ppbiorxiv-202275
Artículo de revista
Un artículo publicado en revista científica está disponible y probablemente es basado en este preprint, por medio del reconocimiento de similitud realizado por una máquina. La confirmación humana aún está pendiente.
Ver artículo de revista
ABSTRACT
Dysregulated IL-1{beta} 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-1{beta} and IL-6 in COVID-19. We show that the expression of IL-1{beta} 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-1{beta} 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-1{beta} 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.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-BIORXIV Tipo de estudio: Experimental_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-BIORXIV Tipo de estudio: Experimental_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint