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. 2023 Jul 14;14:4201. doi: 10.1038/s41467-023-40012-7

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© The Author(s) 2023

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a–j Blood plasma from 97 PASC patients and 26 CR controls was assessed for 2925 independent protein features. a Left—Principal component analysis of PASC and CR cohorts. Large circles indicate population centroids. Right—Scree plot of the explained sample variance of the first ten principal components. b Feature-wise comparison between PASC and CR cohorts. Proteins of interest are labeled with significant differential abundances (Adj P < 0.001) highlighted in red. c, f, h, j Normalized abundance of indicated proteins with means displayed (red). d Reactome pathway analysis of proteins ranked by Spearman’s correlations with PASC diagnosis. Pathways of interest are labeled. e, g, i Gene set enrichment analysis of indicated pathways. c, f, h, j Two-way unpaired T test. *P < 0.05; **P < 0.01; ***P < 0.001, ****P < 0.0001. Source data are provided as a Source Data file.