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. 2021 May 11:10.2217/fmb-2021-0047. doi: 10.2217/fmb-2021-0047

Figure 1. Comparative analysis of the plasma metabolome could differentiate significantly COVID-19 patients and healthy group.

Figure 1.

(A) Volcano plot significantly separated COVID-19 patients and the healthy group, purple dots are the compounds that are both significant in adjusted p-value and fold change and black dots are the compounds that are not significant. (B) The expression level change (Z-scored original value) of eight selected metabolites with significant difference. Asterisks indicate statistical significance based on unpaired two-sided Welch's t-test. Red boxes are COVID-19 patients, green boxes are healthy individuals and the y axis is the normalized fold change. (C) Heat map of selected average plasma metabolite expression levels. (D) COVID-19 patients and healthy group were separated by components one and two in the PLS-DA machine learning analysis. (E) Receiver operating characteristic using five metabolites as classifiers. (F) Fifteen metabolites prioritized by random forest analysis ranked by the mean decrease in accuracy.

*p < 0.05; **p < 0.01; ***p < 0.001.