0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Join our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSARS-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.
Krista E. van Meijgaarden, Suzanne van Veen, Roula Tsonaka, Paula Ruibal, Anna H.E. Roukens, M. Sesmu Arbous, Judith Manniën, Suzanne C. Cannegieter, Tom H. M. Ottenhoff, Simone A. Joosten, M. Sesmu Arbous, Bernard M. van den Berg, Suzanne C. Cannegieter, Christa M. Cobbaert, Anne M. van der Does, Jacques J. M. van Dongen, Jeroen Eikenboom, Mariet C.W. Feltkamp, Annemieke Geluk, Jelle J. Goeman, Martin Giera, Thomas Hankemeier, Mirjam H.M. Heemskerk, Pieter S. Hiemstra, Cornelis H. Hokke, Jacqueline J. Janse, Simon P. Jochems, Marjolein Kikkert, Lieke Lamont, Tamás Pongrácz, Michael R. del Prado, Meta Roestenberg, Hermelijn H. Smits, Eric J. Snijder, Frank J. T. Staal, Leendert A. Trouw, Aswin Verhoeven, Leo G. Visser, Jutte J.C. de Vries, David J. van Westerloo, Jeanette Wigbers, H.J. van Wijk, Robin C. van Wissen, Manfred Wuhrer, Maria Yazdanbakhsh, Mihaela Zlei, Josine A. Oud, Meryem Baysan, Jeanette Wigbers, Lieke J. van Heurn, Susan B. ter Haar, Alexandra G. L. Toppenberg, Laura Heerdink, Annekee A. van IJlzinga Veenstra, Anna M. Eikenboom, Julia M. Wubbolts, Jonathan W. Uzorka, Willem M. Lijfering, Romy T. Meier, I. De Jonge, M. Sesmu Arbous, Mark de Boer, Anske G. van der Bom, Olaf M. Dekkers, Frits R. Rosendaal (2024). Longitudinal soluble marker profiles reveal strong association between cytokine storms resulting from macrophage activation and disease severity in COVID-19 disease. Scientific Reports, 14(1), DOI: 10.1038/s41598-024-63586-8.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2024
Authors
65
Datasets
0
Total Files
0
Language
English
Journal
Scientific Reports
DOI
10.1038/s41598-024-63586-8
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free AccessYes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
.jpg){kind=avatar}
