TY - JOUR
T1 - Longitudinal soluble marker profiles reveal strong association between cytokine storms resulting from macrophage activation and disease severity in COVID-19 disease
AU - van Meijgaarden, Krista E.
AU - van Veen, Suzanne
AU - Tsonaka, Roula
AU - Ruibal, Paula
AU - Roukens, Anna H. E.
AU - Arbous, Sesmu M.
AU - Manniën, Judith
AU - Cannegieter, Suzanne C.
AU - Ottenhoff, Tom H. M.
AU - Joosten, Simone A.
AU - Arbous, Sesmu M.
AU - van den Berg, Bernard M.
AU - Cannegieter, Suzanne
AU - Cobbaert, Christa M.
AU - van der Does, Anne M.
AU - van Dongen, Jacques J. M.
AU - Eikenboom, Jeroen
AU - Feltkamp, Mariet C. W.
AU - Geluk, Annemieke
AU - Goeman, Jelle J.
AU - Giera, Martin
AU - Hankemeier, Thomas
AU - BEAT-COVID group
AU - Heemskerk, Mirjam H. M.
AU - Hiemstra, Pieter S.
AU - COVID-19 LUMC group
AU - Hokke, Cornelis H.
AU - Janse, Jacqueline J.
AU - Jochems, Simon P.
AU - Kikkert, Marjolein
AU - Lamont, Lieke
AU - Pongrácz, Tamás
AU - del Prado, Michael R.
AU - Roestenberg, Meta
AU - Smits, Hermelijn H.
AU - Snijder, Eric J.
AU - Staal, Frank J. T.
AU - Trouw, Leendert A.
AU - Verhoeven, Aswin
AU - Visser, Leo G.
AU - de Vries, Jutte J. C.
AU - van Westerloo, David J.
AU - Wigbers, Jeanette
AU - van der Wijk, Henk J.
AU - van Wissen, Robin C.
AU - Wuhrer, Manfred
AU - Yazdanbakhsh, Maria
AU - Zlei, Mihaela
AU - Oud, Josine A.
AU - Baysan, Meryem
AU - Wigbers, Jeanette
AU - van Heurn, Lieke J.
AU - ter Haar, Susan B.
AU - Toppenberg, Alexandra G. L.
AU - Heerdink, Laura
AU - van IJlzinga Veenstra, Annekee A.
AU - Eikenboom, Anna M.
AU - Wubbolts, Julia M.
AU - Uzorka, Jonathan
AU - Lijfering, Willem
AU - Meier, Romy
AU - de Jonge, Ingeborg
AU - Arbous, Sesmu M.
AU - de Boer, Mark G. J.
AU - van der Bom, Anske G.
AU - Dekkers, Olaf M.
AU - Rosendaal, Frits
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12/1
Y1 - 2024/12/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85195346494
U2 - 10.1038/s41598-024-63586-8
DO - 10.1038/s41598-024-63586-8
M3 - Article
C2 - 38839796
SN - 2045-2322
VL - 14
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 12882
ER -
SDG 3 Good Health and Well-being