ImmunologyBritish Journal of PharmacologyPeer-reviewed
Acute anaphylactic and multiorgan inflammatory effects of Comirnaty in pigs: evidence of spike protein mRNA transfection and paralleling inflammatory cytokine upregulation
2 citations
Author
János Szebeni
Semmelweis UniversityORCID 0000-0003-1738-797XUnclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2021-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 44 mutual co-author linksFocal author (center)Selected co-authorORCID co-authorUnlinked name
Curved chords = mutual co-authorship5 papers
Recent·Most cited
- ImmunologybioRxivPreprint
Prevention of mRNA vaccine-induced anaphylaxis by peripheral cyclooxygenase inhibitors in an anti-PEG hyperimmune pig model: clinical relevance for nanomedicine-induced infusion reactions
Bálint András Barta, Tamás Radovits, Attila Balázs Dobos…·János Szebeni
This study identifies cyclooxygenase inhibitors as effective in preventing mRNA vaccine-induced anaphylaxis in a hyperimmune pig model, suggesting potential clinical applications for nanomedicine infusion reactions.
DOI 10.64898/2026.05.27.727997 - ImmunologybioRxivPreprint
Hemoperfusion of pigs with a carbon-cellulose cartridge: a pilot study revealing a new animal model of extended anaphylactic shock
Bálint András Barta, Tamás Radovits, Sylvia Spiesshofer…·János Szebeni
This study uses a porcine model to investigate anaphylactoid reactions caused by a carbon-cellulose cartridge, revealing mechanisms of cardiovascular collapse and shock.
DOI 10.64898/2026.03.05.709860 - ImmunologyInternational Journal of Molecular SciencesPeer-reviewed
mRNA-LNP COVID-19 vaccine lipids induce low level complement activation and production of proinflammatory cytokines: Mechanisms, effects of complement inhibitors, and relevance to adverse reactions
Tamás Bakos, Tamás Mészáros, Gergely Tibor Kozma…·János Szebeni
This study investigates how mRNA-LNP vaccines trigger complement activation and cytokine production, linking these processes to inflammatory adverse events and suggesting potential therapeutic strategies.
54 citationstop 1% - BioinformaticsDatabasePeer-reviewed
COVIDOUTCOME - Estimating COVID Severity Based on Mutation Signatures in the SARS-CoV-2 Genome
Ádám M. Nagy, Balázs Ligeti, János Szebeni…·Balázs Győrffy
The paper uses machine learning to link SARS-CoV-2 mutations to COVID-19 severity, identifying 26 mutations and achieving high classification accuracy.