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Longitudinal soluble marker profiles reveal strong association between cytokine storms resulting from macrophage activation and disease severity in COVID-19 disease.
van Meijgaarden, Krista E; van Veen, Suzanne; Tsonaka, Roula; Ruibal, Paula; Roukens, Anna H E; Arbous, Sesmu M; Manniën, Judith; Cannegieter, Suzanne C; Ottenhoff, Tom H M; Joosten, Simone A.
Afiliação
  • van Meijgaarden KE; Department of Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
  • van Veen S; Department of Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
  • Tsonaka R; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
  • Ruibal P; Department of Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
  • Roukens AHE; Department of Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
  • Arbous SM; Department of Intensive Care Medicine, Leiden University Medical Center, Leiden, The Netherlands.
  • Manniën J; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
  • Cannegieter SC; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Ottenhoff THM; Department of Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
  • Joosten SA; Department of Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. S.a.joosten@lumc.nl.
Sci Rep ; 14(1): 12882, 2024 06 05.
Article em En | MEDLINE | ID: mdl-38839796
ABSTRACT
SARS-CoV2 infection results in a range of disease severities, but the underlying differential pathogenesis is still not completely understood. At presentation it remains difficult to estimate and predict severity, in particular, identify individuals at greatest risk of progression towards the most severe disease-states. Here we used advanced models with circulating serum analytes as variables in combination with daily assessment of disease severity using the SCODA-score, not only at single time points but also during the course of disease, to correlate analyte levels and disease severity. We identified a remarkably strong pro-inflammatory cytokine/chemokine profile with high levels for sCD163, CCL20, HGF, CHintinase3like1 and Pentraxin3 in serum which correlated with COVID-19 disease severity and overall outcome. Although precise analyte levels differed, resulting biomarker profiles were highly similar at early and late disease stages, and even during convalescence similar biomarkers were elevated and further included CXCL3, CXCL6 and Osteopontin. Taken together, strong pro-inflammatory marker profiles were identified in patients with COVID-19 disease which correlated with overall outcome and disease severity.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Biomarcadores / COVID-19 / Ativação de Macrófagos Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Gravidade de Doença / Biomarcadores / COVID-19 / Ativação de Macrófagos Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda