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. 2024 Jun 5;14:12882. doi: 10.1038/s41598-024-63586-8

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Correlation of analyte levels with disease severity. A Longitudinal modelling linear mixed effects models were applied on plus one log2-transformed values of each soluble analyte separately. For each analyte the association between circulating levels and daily SCODA severity-score was tested over time to identify different mean progressions during follow up. P-values are plotted when significant per analyte, with dot size and colouring reflecting P-value. B Pathway analysis was performed in the Ingenuity platform on all analytes with a significant association between severity-scores and analyte levels longitudinally (from A) and pathways were identified that contained these analytes. The top 10 canonical pathways, based on P-values, are listed. In each bar the percentage indicates the proportion of the 40 analytes that correlated significantly and was associated with this pathway, thus 26 of 40 (= 65%) analytes are part of the ‘pathogen induced cytokine storm signaling pathway’.