Fig. 5: An integrated analysis of mesoscale (cytokine) data, ViP/sViP transcriptomic signatures and laboratory and clinical parameters reveals features that are unique to MIS-C.

a Heatmap displays the results of hierarchical agglomerative clustering of acute KD (KD-AV; n = 10) and MIS-C (n = 10) subjects using the cytokine profiles determined by mesoscale (MSD) and the laboratory features. Source data are provided as a Source Data file. b Violin plots display PLT (platelet) and AEC (absolute eosinophil counts) in KD and MIS-C (unpaired two-sided Student’s t-test used to test significance). c–e Correlation test (two-sided test of the slope of the regression line compared to zero) between AEC and PLT (c; left) and IL15 and PLT (c; right), and MIP1α and PLT (d) and MIP1α and IL15 (e) are shown, and significance was calculated and displayed using GraphPad Prism 9. Significance: ns: non-significant, ****p < 0.0001. See Supplementary Fig. S3 for all possible correlation tests between clinical and cytokine data in KD, MIS-C and COVID-19. f Correlation tests between PLT (left) or AEC (right) on the Y-axis and gene signature scores on the X-axis [either ViP (top), sViP (middle) or a IL15/IL15RA composite (bottom)] were calculated and displayed as scatter plots using python seaborn lmplots with the p-values. The confidence interval around the regression line is indicated with shades. g Schematic summarizing the findings in MIS-C based on laboratory and RNA seq analysis.