Influenza-A mediated pre-existing immunity levels to SARS-CoV-2 could predict early COVID-19 outbreak dynamics

甲型流感介导的对SARS-CoV-2的既有免疫水平可以预测COVID-19疫情早期动态

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作者:Nerea Martín Almazán ,Afsar Rahbar,Marcus Carlsson,Tove Hoffman,Linda Kolstad,Bengt Rönnberg,Mattia Russel Pantalone,Ilona Lewensohn Fuchs,Anna Nauclér,Mats Ohlin,Mariusz Sacharczuk,Piotr Religa ,Stefan Amér,Christian Molnár,Åke Lundkvist,Andres Susrud,Birger Sörensen,Cecilia Söderberg-Nauclér

Abstract

Susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections is highly variable and could be mediated by a cross-protective pre-immunity. We identified 14 cross-reactive peptides between SARS-CoV-2 and influenza A H1N1, H3N2, and human herpesvirus (HHV)-6A/B with potential relevance. The H1N1 peptide NGVEGF was identical to a peptide in the most critical receptor binding motif in SARS-CoV-2 spike protein that interacts with the angiotensin converting enzyme 2 receptor. About 62%-73% of COVID-19-negative blood donors in Stockholm had antibodies to this peptide in the early pre-vaccination phase of the pandemic. Seasonal flu vaccination enhanced neutralizing capacity to SARS-CoV-2 and T cell immunity to this peptide. Mathematical modeling taking the estimated pre-immunity levels to flu into account could fully predict pre-Omicron SARS-CoV-2 outbreaks in Stockholm and India. This cross-immunity provides mechanistic explanations to the epidemiological observation that influenza vaccination protected people against early SARS-CoV-2 infections and implies that flu-mediated cross-protective immunity significantly dampened the first SARS-CoV-2 outbreaks.

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