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. 2022 Oct 10;28:122. doi: 10.1186/s10020-022-00548-8

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© The Author(s) 2022

Open AccessThis 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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Fig. 2 — Similar biomarker profiles and plasma concentrations relative to days after acute infection. A A heatmap demonstrated the pairwise Euclidian Distance between cohort’s biomarker profiles with respect to ANG-1 and P-SEL. Lower distances between patients indicate similar biomarker profiles while larger distances indicate large differences between profiles (distance was pseudocolored on the bar scale). The biomarker profile of Long-COVID outpatients is distinctively different from all other cohorts. The heatmap color scale was capped at 0.5 to restrict interpretation bias from Long-COVID outliers (max value 1.2) and allow for more visible details. B A plot demonstrated ANG-1 concentration versus time after acute infection. A cut-off value, adopted from previous ROC analyses on multiplex data, and a best fit polynomial regression line were calculated. C A plot demonstrated P-SEL concentration versus time after acute infection. A cut-off value, adopted from previous ROC analyses on multiplex data, and a best fit polynomial regression line were calculated