Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity
Howard Hughes Medical Institute · Harvard University · +11 more institutions
Abstract
Understanding humoral responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical for improving diagnostics, therapeutics, and vaccines. Deep serological profiling of 232 coronavirus disease 2019 (COVID-19) patients and 190 pre-COVID-19 era controls using VirScan revealed more than 800 epitopes in the SARS-CoV-2 proteome, including 10 epitopes likely recognized by neutralizing antibodies. Preexisting antibodies in controls recognized SARS-CoV-2 ORF1, whereas only COVID-19 patient antibodies primarily recognized spike protein and nucleoprotein. A machine learning model trained on VirScan data predicted SARS-CoV-2 exposure history with 99% sensitivity and 98% specificity; a rapid…
Citation impact
- FWCI
- 15.91
- Percentile
- 100%
- References
- 38
Authors
152- ESEllen ShrockCorresponding
Howard Hughes Medical Institute, Harvard University
- EFEric FujimuraCorresponding
Howard Hughes Medical Institute, Harvard University
- TKTomasz KulaCorresponding
Howard Hughes Medical Institute, Harvard University
- RTRichard T. TimmsCorresponding
Howard Hughes Medical Institute, Harvard University
- ILI‐Hsiu Lee
Center for Systems Biology
Topics & keywords
- Coronavirus disease 2019 (COVID-19)
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- 2019-20 coronavirus outbreak
- Virology
- Epitope
- Cross-reactivity
- Profiling (computer programming)
- Betacoronavirus
- Reduced inequalities