Viral epitope profiling of COVID-19 patients reveals cross-reactivity and correlates of severity

Abstract

Among the coronaviruses that infect humans, four cause mild common colds, whereas three others, including the currently circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), result in severe infections. Shrock et al. used a technology known as VirScan to probe the antibody repertoires of hundreds of coronavirus disease 2019 (COVID-19) patients and pre–COVID-19 era controls. They identified hundreds of antibody targets, including several antibody epitopes shared by the mild and severe coronaviruses and many specific to SARS-CoV-2. A machine-learning model accurately classified patients infected with SARS-CoV-2 and guided the design of an assay for rapid SARS-CoV-2 antibody detection. The study also looked at how the antibody response and viral exposure history differ in patients with diverging outcomes, which could inform the production of improved vaccine and antibody therapies.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 27, 2020
Source ID
10.1126/science.abd4250

Entities

People

  • Adam Zuiani
  • Alejandro Balazs
  • Alex Rosenthal
  • Alex Zhu
  • Alexandra Reissis
  • Alexandra-Chloé Villani
  • Alicja Piechocka-Trocha
  • Alicja Trocha-piechocka
  • Amanda Griffin
  • Andrew Chan
  • Anna Gonye
  • Arlene Sharpe
  • Ashley Elliman
  • Ashlin Michell
  • Ashok Khatri
  • Betelihem A. Abayneh
  • Blair Parry
  • Brandon M Sie
  • Brendan Lilley
  • Brenna Mckaig
  • Brian C. Russo
  • Brittani Martino
  • Bruce D Walker
  • Carl Lodenstein
  • Chantal Kayitesi
  • Chenyang Jiang
  • Christian Nambu
  • Christianne Sharr
  • Christine Ommerborn
  • Ciputra Hartana
  • Claire O’callaghan
  • Colline Wong
  • Daniel Lingwood
  • Daniel R. Monaco
  • Daniel Worrall
  • David Drew
  • David Golan
  • Deborah Henault
  • Denise J. McCulloch
  • Diane Antille
  • Duane R Wesemann
  • Edward H Ryan
  • Elise Gettings
  • Elizabeth Suschana
  • Ellen Shrock
  • Eric Fujimura
  • Evan C. Lam
  • Falisha A. Porto
  • Fatema Chowdhury
  • Felipe Lelis
  • Francis Ruzicka
  • Galit Alter
  • George Daley
  • Grace Holland
  • H. Benjamin Larman
  • Hang Liu
  • Hannah Ticheli
  • Hargun Khanna
  • Helen Y. Chu
  • Howard Heller
  • I-Hsiu Lee
  • Ilan Millstrom
  • Irena Gushterova
  • James A Lederer
  • Jeanne Flannery
  • Jennifer Logue
  • Jessica Tantivit
  • Jinqing Liu
  • Joan Braley
  • Jon Fallon
  • Jonathan Z Li
  • Jordan Marchewka (schneider)
  • Josh Chevalier
  • Julia Bals
  • Julia Carney
  • Julie Boucau
  • Justin Margolin
  • Karen Branch
  • Kasidet Manakongtreecheep
  • Katherine Broderick
  • Kathleen Grinke
  • Kathleen Selleck
  • Kathryn Hall
  • Katrina Armstrong
  • Keith Flaherty
  • Kelsey Finn
  • Kendall Lavin-parsons
  • Kevin Einkauf
  • Kimberly Smith Sheppard
  • Kristina Lefteri
  • Kyle Kays
  • Kyra Seiger
  • Libera Sessa
  • Liz Fedirko
  • Lois Chris Pacheco
  • Mamie Z Li
  • Marcia B Goldberg
  • Maricarmen Rojas-lopez
  • Marjorie Noone
  • Marshall Karpell
  • Mathias Lichterfeld
  • Matthew L Robinson
  • Matthew Osborn
  • Max Barbash
  • Meg Healy
  • Meghan Travers
  • Michael Dougan
  • Michael R Filbin
  • Molly Fisher Thomas
  • Moshe Sade-feldman
  • Natasha Ly
  • Nicole Charland
  • Nicole Phan
  • Nihaarika Sharma
  • Nikolaus Jilg
  • Nir Hacohen
  • Nishant Singh
  • Noah Miranda
  • Oliver Laeyendecker
  • Pamela Forde
  • Patrick Allen
  • Patrizio Caturegli
  • Paulina Kaplonek
  • Pilar Garcia-broncano
  • Richard T Timms
  • Roseann Mcnamara
  • Sally Shin
  • Sarah Luthern
  • Shaghayegh Habibi
  • Sheila Grimmel
  • Shiv Pillai
  • Siobhan Boyce
  • Stephanie Henson
  • Stephen Elledge
  • Sue Slaughenhaupt
  • Susan Davidson
  • Susan Nelson
  • Tom Lasalle
  • Tomasz Kula
  • Vivine Wilson
  • Vlasta Lavalle
  • Weiwei Sun
  • William A. Clarke
  • Xiaodong Lian
  • Xiaoming Sun
  • Xu G Yu
  • Yannic Bartsch
  • Yelizaveta Rassadkina
  • Yuezhou Chen
  • Yumei Leng
  • Yuting Lu
  • mgh covid-19 collection and processing team

Organizations

  • Brigham and Women's Hospital
  • CAPRISA
  • Harvard Medical School
  • Harvard University
  • Howard Hughes Medical Institute
  • Johns Hopkins School of Medicine
  • Johns Hopkins University
  • Massachusetts General Hospital
  • National Cancer Institute
  • National Institute of Allergy and Infectious Diseases
  • National Institutes of Health
  • United States Department of Defense
  • University of Washington

Tags

Fields of Study

  • Biology

Readers

  • Infectious Disease/Epidemiology
  • Oncology
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Biotechnology