Serological Responses to Human Virome Define Clinical Outcomes of Italian Patients Infected with SARS-CoV-2.

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the pandemic respiratory infectious disease COVID-19. However, clinical manifestations and outcomes differ significantly among COVID-19 patients, ranging from asymptomatic to extremely severe, and it remains unclear what drives these disparities. Here, we studied 159 hospitalized Italian patients with pneumonia from the NIAID-NCI COVID-19 Consortium using a phage-display method to characterize circulating antibodies binding to 93,904 viral peptides encoded by 1,276 strains of human viruses. SARS-CoV-2 infection was associated with a marked increase in individual's immune memory antibody repertoires linked to trajectories of disease severity from the longitudinal analysis also including anti-spike protein antibodies. By applying a machine-learning-based strategy, we developed a viral exposure signature predictive of COVID-19-related disease severity linked to patient survival. These results provide a basis for understanding the roles of memory B-cell repertoires in COVID-19-related symptoms as well as a predictive tool for monitoring its clinical severity.

• Authors: Limin Wang, Julián Candia, Lichun Ma, Yongmei Zhao, Luisa Imberti, Alessandra Sottini, Kerry Dobbs, NIAID-NCI COVID Consortium, Andrea Lisco, Irini Sereti, Helen C Su, Luigi D Notarangelo, Xin Wei Wang
• Journal: medRxiv : the preprint server for health sciences (medRxiv) (Sep 07 2020) United States
• PMID: 32908997 (Publication Type: Preprint)