Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection Trajectories
Su, Y.; Chen, D.; Lausted, C.; Yuan, D.; Choi, J.; Dai, C.; Voillet, V.; Scherler, K.; Troisch, P.; Duvvuri, V. R.; Baloni, P.; Qin, G.; Smith, B.; Kornilov, S.; Rostomily, C.; Xu, A.; Li, J.; Dong, S.; Rothchild, A.; Zhou, J.; Murray, K.; Edmark, R.; Hong, S.; Jones, L.; Zhou, Y.; Roper, R.; Mackay, S.; O'Mahony, D. S.; Dale, C. R.; Wallick, J. A.; Algren, H. A.; Michael, Z. A.; Magis, A.; Wei, W.; Price, N. D.; Huang, S.; Subramanian, N.; Wang, K.; Hadlock, J.; Hood, L.; Aderem, A.; Bluestone, J. A.; Lanier, L. L.; Greenberg, P.; Gottardo, R.; Davis, M. M.; Goldman, J. D.; Heath, J. R.; the
Show abstract
Host immune responses play central roles in controlling SARS-CoV2 infection, yet remain incompletely characterized and understood. Here, we present a comprehensive immune response map spanning 454 proteins and 847 metabolites in plasma integrated with single-cell multi-omic assays of PBMCs in which whole transcriptome, 192 surface proteins, and T and B cell receptor sequence were co-analyzed within the context of clinical measures from 50 COVID19 patient samples. Our study reveals novel cellular subpopulations, such as proliferative exhausted CD8+ and CD4+ T cells, and cytotoxic CD4+ T cells, that may be features of severe COVID-19 infection. We condensed over 1 million immune features into a single immune response axis that independently aligns with many clinical features and is also strongly associated with disease severity. Our study represents an important resource towards understanding the heterogeneous immune responses of COVID-19 patients and may provide key information for informing therapeutic development.
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