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. 2021 Oct 21;11:20866. doi: 10.1038/s41598-021-00286-7

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© The Author(s) 2021

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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Metabolomics analysis of plasma samples. (a) Scoring plots from PCA model analysis of the full-scan MS analysis for classifying COVID 19 infected (dark purple and orange squares) and control groups (light purple squares: uninfected male, green square: uninfected female). and (b) loading plots from PCA model analysis in which each metabolite is represented by a distinct color as shown in the graph legend (c) Profile of an identified regulated metabolite, via loading component analysis, as represented by peak area across COVID-19-infected and control samples, such metabolites drives the observed separation seen between the cohorts in a PCA model analysis, using MarkerView software by SCIEX. COVID 19 infected (dark purple and orange squares) and control groups (light purple squares: uninfected male, green square: uninfected female).

Metabolomics analysis of plasma samples. (a) Scoring plots from PCA model analysis of the full-scan MS analysis for classifying COVID 19 infected (dark purple and orange squares) and control groups (light purple squares: uninfected male, green square: uninfected female). and (b) loading plots from PCA model analysis in which each metabolite is represented by a distinct color as shown in the graph legend (c) Profile of an identified regulated metabolite, via loading component analysis, as represented by peak area across COVID-19-infected and control samples, such metabolites drives the observed separation seen between the cohorts in a PCA model analysis, using MarkerView software by SCIEX. COVID 19 infected (dark purple and orange squares) and control groups (light purple squares: uninfected male, green square: uninfected female).