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Matthijs Meijers

As seen in: BioRxiv, Cell Press
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Articles

Pre-existing neutralizing antibodies against cattle-transmitted influenza A virus H5N1 are detectable in unexposed individuals

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By Katharina Daniel, Leon Ullrich, Denis Ruchnewitz, Matthijs Meijers, Nico Halwe, Ursula Wild, Jan Eberhardt, Jacob Schön, Marie Wunsch, Maryna Kuryshko, Christopher R. Dietrich, Christian Kukat, Lutz Gieselmann, Henning Gruell, Donata Hoffmann, Martin Beer, Thomas C. Erren, Michael Lässig, Christoph Kreer, Florian Klein, Ricarda Stumpf, Maike Schlotz, Luana Girao Lessa, Elsayed Mohammed Abdelwhab, Andreas Pinger, Anna-Lena Schumacher, Maximilian Germer, Malena Rohde
| Cell Press Verified
Keywords influenza virus H5N1 highly pathogenic avian influenza clade 2.3.4.4b A/Texas/37/2024 humoral immunity pre-existing antibodies cross-neutralizing antibodies Introduction Sporadic human infections with highly pathogenic avian influenza A virus (HPAIV) H5N1 were first documented by spillover from birds to humans in 1997, followed by repeated outbreaks among birds with a total of 954 human cases leading to 464 deaths (48.6% case-fatality rate) between 2003 and 2024.1 In March 2024, the...
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Detection of low pre-existing humoral immunity against influenza virus H5N1 clade 2.3.4.4b in unexposed individuals

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By Katharina Daniel, Leon Ullrich, Denis Ruchnewitz, Matthijs Meijers
| BioRxiv
Abstract The repeated spill-over of Influenza A virus H5N1 clade 2.3.4.4b from cattle to humans highlights the risk of a human H5N1 pandemic. Given the impact of pre-existing immunity on the course and severity of viral infections, we assessed in detail the humoral immunity against the H5N1 A/Texas/37/2024 isolate in H5N1-naive individuals. To this end, we performed complementary binding and neutralization assays on 66 subjects and ranked activities among a panel of 76 influenza A virus isolates.
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Concepts and methods for predicting viral evolution

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By Denis Ruchnewitz, Jan Eberhardt, Malancha Karmakar, Matthijs Meijers
| BioRxiv
Abstract The seasonal human influenza virus undergoes rapid evolution, leading to significant changes in circulating viral strains from year to year. These changes are typically driven by adaptive mutations, particularly in the antigenic epitopes, the regions of the viral surface protein haemagglutinin targeted by human antibodies. Here we describe a consistent set of methods for data-driven predictive analysis of viral evolution.
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