ArticleJournal of virology2025
Development of DNA and mRNA-LNP vaccines against an H5N1 clade 2.3.4.4b influenza virus.
Article in Journal of virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Immunogenicity and efficacy of a rabies-based vaccine against highly pathogenic influenza H5N1 virus.Emerging microbes & infections · 2026Article
- Immune protection in chickens via lipid nanoparticle-encapsulated VP2 DNA vaccine against very virulent infectious bursal disease virus.Poultry science · 2026Article
- A bivalent mRNA-LNP vaccine confers broad-spectrum protection against both homologous and heterologous H5/H7 highly pathogenic avian influenza viruses in SPF chickens.Veterinary research · 2026Article
- From Global Insights to Local Action: Bridging Vaccine Design and Manufacturing Gaps in H5N1 Pandemic Readiness.Vaccines · 2026Article
- Article
- Protective Efficacy of a Hemagglutinin-Based mRNA Vaccine Against H5N1 Influenza Virus Challenge in Lactating Dairy Cows.Research (Washington, D.C.) · 2026Article
- Electroporation and LNP-mediated delivery of plasmid DNA-encoded H5N1 influenza virus hemagglutinin support protection against highly pathogenic avian influenza.NPJ vaccines · 2025Article
- Reovirus Infections in Broiler Chickens: A Narrative Review.Veterinary sciences · 2025Review
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Effective vaccines are an important public health tool which may be needed to combat the emerging, highly pathogenic H5N1 avian influenza viruses currently circulating in cattle and poultry in the United States. While nucleic acid-based vaccines such as mRNA-lipid nanoparticles (LNPs) have several potential advantages during a viral epidemic compared to traditional seasonal influenza vaccines, their utility and efficacy against H5N1 viruses remain incompletely defined. Here, we developed novel DNA- and mRNA-LNP-based vaccines encoding both hemagglutinin (HA) and neuraminidase (NA) proteins from the human-isolated highly pathogenic avian influenza H5N1 strain, A/Texas/37/2024, in a single open reading frame. This dual-antigen expression approach elicited strong protective immune responses targeting both the HA and NA proteins and provided complete protection against lethal viral challenges in a murine model. The pre-clinical data described in this work suggest that these multi-valent, adaptable, and scalable vaccine approaches may represent practical and rapid solutions to mediate robust protection from emerging zoonotic influenza virus threats. IMPORTANCE: Vaccines capable of protecting from infection with the H5N1 influenza viruses actively circulating in dairy cattle could be deployed to protect livestock and potentially also be used to protect human health. Here, we describe the development of protective DNA and mRNA-lipid nanoparticle vaccines targeting hemagglutinin and neuraminidase proteins from the highly pathogenic avian influenza (HPAI) H5N1 A/Texas/37/2024 virus and show that they are both protective against severe morbidity and mortality in a mouse model. Thus, the vaccines described in this work represent effective approaches to limit the current circulation of H5N1 viruses in animals and may represent practical solutions for human vaccination in the event of sustained human transmission of HPAI H5N1 viruses.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.