COVID-19 exhibits extensive patient-to-patient heterogeneity. To link immune response variation to disease severity and outcome over time, we longitudinally assessed circulating proteins as well as 188 surface protein markers, transcriptome, and T-cell receptor sequence simultaneously in single peripheral immune cells from COVID-19 patients. Conditional-independence network analysis revealed primary correlates of disease severity, including gene expression signatures of apoptosis in plasmacytoid dendritic cells and attenuated inflammation but increased fatty acid metabolism in CD56
dim
CD16
hi
NK cells linked positively to circulating IL-15. CD8
+
T cell activation was apparent without signs of exhaustion. While cellular inflammation was depressed in severe patients early after hospitalization, it became elevated by days 17-23 post symptom onset, suggestive of a late wave of inflammatory responses. Furthermore, circulating protein trajectories at this time were divergent between and predictive of recovery-fatal outcomes. Our findings stress the importance of timing in the analysis, clinical monitoring, and therapeutic intervention of COVID-19.
Personalized cancer vaccines are a promising approach for inducing T cell immunity to tumor neoantigens. Using a self-assembling nanoparticle vaccine that links neoantigen peptides to a TLR7/8 agonist (SNP-7/8a), we show how the route and dose alter the magnitude and quality of neoantigen-specific CD8
+
T cells. Intravenous vaccination (SNP-IV) induced a higher proportion of TCF1
+
PD-1
+
CD8
+
T cells compared to subcutaneous immunization (SNP-SC). Single cell RNA-seq showed that SNP-IV induced stem-like genes (
Tcf7, Slamf6, Xcl1
) whereas SNP-SC enriched for effector genes (
Gzmb, Klrg1, Cx3cr1)
. Stem-like cells generated by SNP-IV proliferated and differentiated into effector cells upon checkpoint blockade leading to superior antitumor response compared to SNP-SC in a therapeutic model. The duration of antigen presentation by dendritic cells controlled the magnitude and quality of CD8
+
T cells. These data demonstrate how to optimize antitumor immunity by modulating vaccine parameters for specific generation of effector or stem-like CD8
+
T cells.
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