IFNG and COVID-19: Furthermore, prediction models based on IFN-γ/sgp130/sIL-1RA expression levels could accurately predict which patients would develop severe CRS.168 For COVID-19, Mathew et al. analyzed 125 COVID-19 patients at the protein level by high-dimensional flow cytometry and identified three prominent and distinct immunotypes that are related to disease severity and clinical parameters.169 Among them, immunotypes with robust activated CD4 T cells, activated CD8 T cells, and plasmablasts were associated with disease severity of COVID-19.