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Cross-reactive antibodies against human coronaviruses and the animal coronavirome suggest diagnostics for future zoonotic spillovers.
Klompus, Shelley; Leviatan, Sigal; Vogl, Thomas; Mazor, Roei D; Kalka, Iris N; Stoler-Barak, Liat; Nathan, Nachum; Peres, Ayelet; Moss, Lihee; Godneva, Anastasia; Kagan Ben Tikva, Sharon; Shinar, Eilat; Dvashi, Hadas Cohen; Gabizon, Ronen; London, Nir; Diskin, Ron; Yaari, Gur; Weinberger, Adina; Shulman, Ziv; Segal, Eran.
Afiliação
  • Klompus S; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Leviatan S; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Vogl T; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Mazor RD; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Kalka IN; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel thomas.vogl@weizmann.ac.il ziv.shulman@weizmann.ac.il eran.segal@weizmann.ac.il.
  • Stoler-Barak L; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Nathan N; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Peres A; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Moss L; Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Godneva A; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Kagan Ben Tikva S; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Shinar E; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Dvashi HC; Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Gabizon R; Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • London N; Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Diskin R; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Yaari G; Faculty of Engineering, Bar Ilan University, Ramat Gan 52900, Israel.
  • Weinberger A; Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Shulman Z; Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
  • Segal E; Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
Sci Immunol ; 6(61)2021 07 29.
Article em En | MEDLINE | ID: mdl-34326184
The spillover of animal coronaviruses (aCoVs) to humans has caused SARS, MERS, and COVID-19. While antibody responses displaying cross-reactivity between SARS-CoV-2 and seasonal/common cold human coronaviruses (hCoVs) have been reported, potential cross-reactivity with aCoVs and the diagnostic implications are incompletely understood. Here, we probed for antibody binding against all seven hCoVs and 49 aCoVs represented as 12,924 peptides within a phage-displayed antigen library. Antibody repertoires of 269 recovered COVID-19 patients showed distinct changes compared to 260 unexposed pre-pandemic controls, not limited to binding of SARS-CoV-2 antigens but including binding to antigens from hCoVs and aCoVs with shared motifs to SARS-CoV-2. We isolated broadly reactive monoclonal antibodies from recovered COVID-19 patients that bind a shared motif of SARS-CoV-2, hCoV-OC43, hCoV-HKU1, and several aCoVs, demonstrating that interspecies cross-reactivity can be mediated by a single immunoglobulin. Employing antibody binding data against the entire CoV antigen library allowed accurate discrimination of recovered COVID-19 patients from unexposed individuals by machine learning. Leaving out SARS-CoV-2 antigens and relying solely on antibody binding to other hCoVs and aCoVs achieved equally accurate detection of SARS-CoV-2 infection. The ability to detect SARS-CoV-2 infection without knowledge of its unique antigens solely from cross-reactive antibody responses against other hCoVs and aCoVs suggests a potential diagnostic strategy for the early stage of future pandemics. Creating regularly updated antigen libraries representing the animal coronavirome can provide the basis for a serological assay already poised to identify infected individuals following a future zoonotic transmission event.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por Coronavirus / Coronavirus / Biblioteca de Peptídeos / Anticorpos Antivirais / Antígenos Virais Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por Coronavirus / Coronavirus / Biblioteca de Peptídeos / Anticorpos Antivirais / Antígenos Virais Idioma: En Ano de publicação: 2021 Tipo de documento: Article