Fig. 4: Disturbed immune regulation in severe COVID-19. | Nature Communications

Fig. 4: Disturbed immune regulation in severe COVID-19.

From: Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity

Fig. 4

Pearson correlation-driven similarity/correlation matrix analysis of cytokines/chemokines and mass cytometry data in critical (n = 14) (a) and mild-moderate (n = 31) (b) COVID-19 patient subgroups. This correlation matrix analysis is a form of statistical modelling by which statistically stable relationships between the different variables (i.e. cytokines/chemokines and immune cell subpopulations) allows their categorization into different clusters indicating high levels of correlation (indicated by the clustering dendrograms). Of note, the diagonal correlation value is 1, which denotes the highest possible statistically significant correlation value between the given variables and represents the highest comparative threshold that “centers” the correlation network. See also Fig. S3. Source data are provided as a Source data file.

Back to article page