Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19
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Feyaerts, Dorien1
- Hedou, Julien2
- Gillard, Joshua3
- Chen, Han2
- Tsai, Eileen S.2
- Peterson, Laura S.2
- Ando, Kazuo2
- Manohar, Monali2
- Do, Evan2
- Dhondalay, Gopal K.R.2
- Fitzpatrick, Jessica2
- Artandi, Maja2
- Chang, Iris2
- Snow, Theo2
- Chinthrajah, R. Sharon2
- Warren, Christopher M.2
- Wittman, Richard2
- Meyerowitz, Justin G.2
- Ganio, Edward A.2
- Stelzer, Ina A.2
- Han, Xiaoyuan4
- Verdonk, Franck2
- Gaudillière, Dyani K.2
- Mukherjee, Nilanjan2
- Tsai, Amy S.2
- Rumer, Kristen K.2
- Jacobsen, Danielle R.2
- Bjornson-Hooper, Zachary B.2
- Jiang, Sizun2
- Fragoso Saavedra, Sergio5
- Valdés Ferrer, Sergio Iván5
- Kelly, J. Daniel6
- Furman, David2
- Aghaeepour, Nima2
- Angst, Martin S.2
- Boyd, Scott D.2
- Pinsky, Benjamin A.2
- Nolan, Garry P.2
- Nadeau, Kari C.2
- Gaudillière, Brice2
- McIlwain, David R.2
- 1. Stanford University
- 2. Stanford Medicine
- 3. Radboud Institute for Molecular Life Sciences
- 4. University of the Pacific
- 5. Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán
- 6. University of California San Francisco Medical Center
Description
The biological determinants underlying the range of COVID-19 clinical manifestations are not fully understood. Here, over 1400 plasma proteins and 2600 single-cell immune features comprising cell phenotype, endogenous signaling activity, and signaling responses to inflammatory ligands are cross-sectionally assessed in peripheral blood from 97 patients with mild, moderate, and severe COVID-19 and 40 uninfected patients. Using an integrated computational approach to analyze the combined plasma and single-cell proteomic data, we identify and independently validate a multivariate model classifying COVID-19 severity (multi-class AUCtraining = 0.799, p-value = 4.2e-6; multi-class AUCvalidation = 0.773, p-value = 7.7e-6). Examination of informative model features reveals novel biological signatures of COVID-19 severity, including the dysregulation of JAK/STAT, MAPK/mTOR, and NF-κB immune signaling networks in addition to recapitulating known hallmarks of COVID-19. These results provide a set of early determinants of COVID-19 severity that may point to therapeutic targets for prevention and/or treatment of COVID-19 progression.
Notes
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Correlation_matrix.csv
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Additional details
Related works
- Is cited by
- 10.1101/2021.02.09.430269 (DOI)
- 10.1016/j.xcrm.2022.100680 (DOI)