Deciphering HPAI Influenza A Virus (H5N1): Molecular Basis of Pathogenicity, Zoonotic Potential, and Advances in Vaccination Strategies
Abstract
1. Introduction
2. Global Impact on Poultry, Livestock, and Public Health: An Escalating Multisectoral Crisis
2.1. Catastrophic Impact on Poultry and Agricultural Systems
| Category | Key Feature/Impact | Evidence/Example | Implication | Selected Refs. |
|---|---|---|---|---|
| Epidemiology | Transition to persistent global panzootic | Year-round circulation in wild birds across 6 continents | Fundamental epidemiological shift requiring long-term management | [20,21] |
| Agricultural Impact | Massive poultry losses | >58 M birds in US (2021–2023); ~17.2 M in Canada (2025) | Economic damage > $3B globally; supply chain vulnerability | [22,23,24,25] |
| Host Range Expansion | Infection of >70 mammalian species | Dairy cattle (B3.13 genotype), seals, foxes, minks | Creates new ecological niches and human exposure pathways | [27,28,29] |
| HA Polybasic Cleavage Site | Enables systemic infection | RERRRKR/G motif cleaved by ubiquitous proteases | Primary determinant of high pathogenicity in birds | [30,31] |
| HA Receptor Binding | Preference for avian (α2,3-SA) receptors | Q222L/G224S mutations can shift preference to human (α2,6-SA) | Major barrier to sustained human transmission | [32,33] |
| Polymerase Adaptation | Mammalian-adaptive mutations | PB2-E627K (enhances replication at 33 °C); PB2-M631L (cattle-associated) | Critical for host range expansion; detected in human cases | [34,35,36] |
| Zoonotic Transmission | High CFR but limited human spread | ~50% CFR among confirmed cases; 2024 cattle outbreak added new exposure routes | Severe individual outcome but limited sustained transmission to date | [37,38] |
| Vaccination Strategy | Advancing next-generation platforms | mRNA vaccines (rapid redesign); universal HA stalk targets | Potential for more agile pandemic response but scale-up challenges remain | [39,40,41,42] |
2.2. Significant Expansion into Livestock and Mammalian Wildlife
2.3. Evolving Public Health and Zoonotic Threat
3. Molecular Determinants of H5N1 Pathogenicity and Host Adaptation
3.1. Hemagglutinin (HA): The Gatekeeper of Infection
- Polybasic Cleavage Site (PCS): The hallmark of HPAI viruses is a polybasic cleavage site (e.g., RERRRKR/G) in the HA protein. Unlike LPAI strains, which require trypsin-like proteases found only in specific tissues, the H5 PCS is cleaved by ubiquitous furin-like proteases present throughout the host body. This enables systemic viral replication, leading to disseminated infection and multi-organ failure in birds [30,32].
- Receptor Binding Domain Structure: The HA receptor binding site is configured to preferentially accommodate sialic acid (SA) receptors with α2,3 linkages. Key amino acid positions (residues 222 and 224 in H5 numbering) form the binding pocket that determines this specificity. Mutations at these positions (Q222L, G224S) can alter the binding pocket conformation to favor α2,6-linked receptors, though such changes may compromise HA stability [31].
- HA Stability and Membrane Fusion: The pH threshold at which HA undergoes conformational change to trigger membrane fusion is determined by specific residues. Mutations that lower this pH threshold (e.g., T318I) enhance the acid stability of the HA protein, which is necessary for survival in acidic environments such as the human upper respiratory tract [33].
3.2. Polymerase Complex: The Engine of Replication and Adaptation
- Key Mammalian-Adaptive Mutations:
- ○
- PB2-E627K: This is the most recognized marker, dramatically enhancing polymerase activity at the cooler temperatures (~33 °C) of the mammalian upper respiratory tract [46].
- ○
- PB2-D701N: This mutation improves the binding of the viral ribonucleoprotein complex to mammalian importin-α isoforms, facilitating nuclear import and replication in human cells [34].
- ○
- PB2-M631L: Notably identified in >99% of sequences from the 2024 U.S. dairy cattle outbreak, this mutation is strongly associated with viral adaptation in this novel mammalian host and has been found in subsequent human cases linked to cattle exposure [35].
- Host Cofactor Interaction: New research into host cofactors has shed light on why it is so difficult for this virus to jump between species. Essentially, the bird flu virus needs a specific host protein called ANP32A to copy itself. However, the bird version of this protein has an extra 33-amino acid ‘tail’ that the human version lacks. This structural difference acts like a lock that an unadapted virus cannot open. For the virus to replicate in humans, it usually needs a specific mutation PB2-E627K which reshapes the viral machinery to work with the shorter human version of the protein [36].
3.3. Non-Structural Proteins: Masters of Immune Evasion
- NS1—Interferon Antagonism: The NS1 protein is a potent multifunctional interferon (IFN) antagonist. It inhibits the production and signaling of type I IFNs, crippling the host’s antiviral state. Specific mutations, such as D92E, enhance this function by conferring resistance to the antiviral effects of both IFNs and TNF-α [48,49].
- PB1-F2—Pro-apoptotic Activity: The PB1-F2 protein, particularly with the N66S mutation, contributes to virulence by inducing apoptosis in immune cells like macrophages and lymphocytes, thereby depleting the host’s immune response capacity and exacerbating inflammation [50].
3.4. Neuraminidase (NA) and Accessory Factors
- NA’s Role in Viral Fitness: NA facilitates viral egress by cleaving sialic acids from the host cell and nascent virions. An optimal functional balance between HA binding and NA cleavage is required for efficient replication. The long NA stalk characteristic of clade 2.3.4.4b viruses is associated with increased fitness in wild birds and may facilitate infection in mammals [51,52].
3.5. Host-Driven Pathogenesis: The Cytokine Storm
4. Zoonotic Potential and Cross-Species Adaptation: Navigating a Shifting Risk Landscape
4.1. Receptor Binding Specificity and Tissue Tropism: The Fundamental Barrier
4.2. Pathways for Cross-Species Spillover: Ecological and Behavioral Drivers
- Novel Exposure Routes: While direct contact with infected poultry remains the dominant risk, the 2024 epizootic in U.S. dairy cattle created a paradigm shift. Exposure now includes contact with infected cattle, aerosolized milk during milking, and consumption of unpasteurized (raw) milk containing high viral loads, posing a risk to farm workers and consumers [29].
- The “Mixing Vessel” Hypothesis in Action: Species that express both avian (α2,3) and human (α2,6) SA receptors in their respiratory tracts are considered potential “mixing vessels.” While pigs are the classic example [64], minks in fur farms have proven to be exceptionally efficient hosts for H5N1, facilitating mammalian adaptation and intra-species transmission [27]. Dairy cattle, with receptor distribution still under investigation, now represent a critical new mammalian host where viral reassortment with endemic cattle or human seasonal viruses could theoretically occur [65].
- Environmental Amplification: The virus’s endemicity in wild bird populations leads to widespread environmental contamination of waterways, pastures, and feed. This creates persistent exposure risks for free-range poultry, livestock, and wild mammals, acting as a constant source for reintroduction to farms despite biosecurity measures [66].
4.3. Molecular Signatures of Mammalian Adaptation: Lessons from Recent Outbreaks
- Dairy Cattle (2024): A defining mutation, PB2-M631L, was found in >99% of sequences from infected U.S. cattle, strongly associating it with replication in this host. Even more concerning, the well-known mammalian-adaptive marker PB2-E627K was identified in a human case linked to cattle exposure, demonstrating that viruses pre-adapted to mammals are already reaching humans [36].
- Farmed Minks (2022–2023): Outbreaks on Spanish and Finnish fur farms revealed viruses acquiring mutations like PB2-T271A, which enhances polymerase activity in mammals and was also a feature of the 2009 H1N1 pandemic virus [67].
- Wild Carnivores and Marine Mammals: Frequent detection of PB2-E627K and D701N in foxes, seals, and sea lions confirms strong selective pressure for polymerase adaptations that enhance replication at mammalian body temperatures and improve nuclear import of the viral genome in mammalian cells [68].
4.4. Genetic and Biological Hurdles to a Pandemic
- HA Stability Trade-off: Mutations that improve human-receptor binding (e.g., Q226L) often destabilize the HA protein, compromising its ability to survive the acidic environment of the human upper respiratory tract or triggering premature fusion. The virus must balance receptor avidity with structural stability [46].
- The Requirement for Coordinated Changes: Laboratory studies demonstrate that airborne transmission in ferrets requires a specific combination of mutations affecting HA receptor binding, HA stability, and polymerase efficiency (like PB2-E627K). The concurrent emergence of this exact set in nature remains a low-probability event, though the expanding viral population in mammals increases the odds [69].
- Host Intrinsic Immunity: Human cells possess innate restriction factors like MxA and BTN3A3 that potently inhibit avian-origin influenza polymerases. H5N1 must acquire further compensatory mutations (e.g., in the Nucleoprotein NP) to evade these defenses, adding another layer to the adaptive challenge [70].
4.5. A One Health Imperative: Integrated Surveillance and Risk Mitigation
- Targeting High-Risk Interfaces: Live Bird Markets (LBMs) have been repeatedly identified as epicenters for viral amplification, reassortment, and human infection. Interventions like market closures, mandatory rest days, and banning live poultry overnight were highly effective in eliminating human H7N9 cases in China and remain a critical control measure [71].
- Deploying Innovative Surveillance: Deploying Innovative Surveillance: Wastewater-based surveillance (WWS), while highly effective during the COVID-19 pandemic, remains an emerging yet high-potential tool for H5N1. While it offers a non-invasive way to monitor communities and dairy sites, further research is needed to fully standardize its role as a definitive early warning signal [72].
- Addressing Critical Gaps: Significant surveillance blind spots remain due to geographic inequities in sequencing capacity, under-reporting in backyard farms and wildlife, and a lack of systematic monitoring of potential intermediary hosts. Strengthening the Global Influenza Surveillance and Response System (GISRS) framework to better incorporate animal and environmental data is a stated priority for closing these gaps [73].
5. Advances in Vaccination Strategies: Bridging Preparedness and Reality
5.1. Traditional and Stockpiled Human Vaccines
- Licensed Platforms: Vaccines like AUDENZ® (approved by the U.S. FDA in 2020 for persons 6 months and older) and Adjupanrix® (EU-approved) are matched to older H5N1 clades but can provide a priming immune response [19]. Their production uses established egg- or cell-based technologies, but a switch to a new strain still requires 4–6 months for significant dose production [74].
- The Scale Challenge: A critical vulnerability is insufficient global manufacturing capacity. For example, the U.S. stockpile of pre-pandemic H5 vaccine would only cover a fraction of the population, highlighting a major gap between preparedness plans and production reality [75].
5.2. Next-Generation Vaccine Platforms
- mRNA-LNP Vaccines: Building on COVID-19 successes, nucleoside-modified mRNA platforms offer the fastest potential response. The U.S. HHS has invested heavily (e.g., $176 million to Moderna in 2024) to advance these vaccines, which can be redesigned and produced at scale within weeks [76]. Early candidates against 2.3.4.4b show promise in animal models, but their efficacy in humans against avian influenza remains unproven [77].
- Virus-Like Particles (VLPs) and Recombinant Proteins: VLPs, which mimic the virus structure without its genetic material, are highly immunogenic. Produced in insect cells or plants, they offer scalable and safe manufacturing alternatives [78].
- Broadly Protective Strategies: Research is actively pursuing universal vaccine targets, such as the conserved stalk region of HA or the M2e peptide, to provide protection across diverse H5N1 clades and even other influenza subtypes, potentially overcoming the problem of antigenic drift [79].
5.3. Animal Vaccination: Controlling the Source
- Poultry: China’s mandatory bivalent H5/H7 poultry vaccination program successfully suppressed the H7N9 virus and eliminated human cases, demonstrating proof of concept [80]. However, sub-optimal vaccination that reduces disease without preventing infection can lead to “silent circulation,” driving antigenic drift and complicating surveillance a major concern for ongoing programs [81].
- Livestock: The 2024 cattle outbreak spurred urgent research. The USDA is evaluating H5N1 vaccine candidates for dairy cattle, aiming to reduce mammary gland infection, milk shedding, and economic loss. Key challenges include demonstrating efficacy, securing a viable vaccine market, and establishing a feasible delivery system for a previously unvaccinated livestock sector [39].
- High-Risk Human Groups: Some nations have begun proactive vaccination of at-risk individuals. Finland’s 2024 voluntary program for poultry and fur farm workers, using a vaccine matched to 2.3.4.4b, reported high immunogenicity but low uptake, underscoring the profound challenge of vaccine acceptance even among those with the highest exposure risk [40].
5.4. Comparative Analysis of Vaccine Platforms and Challenges
6. Molecular Surveillance and Predictive Modeling: The Digital Front Line
6.1. Genomic Surveillance and Open Data
- Whole-Genome Sequencing (WGS): WGS is indispensable for tracking transmission pathways, identifying reassortment events, and detecting adaptive mutations like PB2-E627K or HA receptor-binding changes in near real time [42].
- Bioinformatics Pipelines: Tools like INSaFLU automate the workflow from sequence data to actionable reports, enabling public health labs to perform detailed genomic surveillance [82].
- Global Data Sharing: Platforms like GISAID provide the essential infrastructure for the rapid, open sharing of virus sequences with attribution. This collaborative model, which accelerated during COVID-19, is vital for tracking the global movement and evolution of H5N1 and for selecting appropriate Candidate Vaccine Viruses (CVVs) [83].
6.2. Risk Assessment and Predictive Analytics
- Standardized Risk Frameworks: Tools like the WHO’s Tool for Influenza panzootic Risk Assessment (TIPRA) use standardized criteria (e.g., virus properties, population immunity, ecology) to assign risk scores to emerging viruses, helping prioritize resources [84].
- In silico Phenotype Prediction: Computational methods, including machine learning and algorithms like the Informational Spectrum Method (ISM), can analyze sequence data to predict functional traits such as increased human receptor binding, offering early warnings from genomic data alone [85].
- Transmission and Intervention Modeling: Mathematical models simulate outbreak dynamics to answer critical policy questions. For example, models can project the course of an outbreak in dairy cattle or compare the potential efficacy of vaccination versus culling in poultry, informing cost-effective control strategies [86].
7. Critical Knowledge Gaps and Future Research Priorities
- Pathogenesis in Novel Hosts: The pathogenic mechanisms in cattle and the drivers of the severe neurotropism observed in cats and marine mammals are poorly understood and require urgent study [29].
- Quantifying Reassortment Risk: The probability of a pandemic strain emerging via reassortment in a “mixing vessel” like mink or cattle is considered high but is difficult to quantify. Enhanced surveillance at animal–human interfaces is needed to detect such events early [87].
- Improving Preclinical Models: The predictive value of ferret models for human vaccine efficacy and transmission remains imperfect. Developing more accurate models, including organoids and advanced in vitro systems, is crucial for reliable evaluation of countermeasures [88].
- Equity in Global Surveillance: Surveillance and sequencing capacity are overwhelmingly concentrated in high-income nations, creating dangerous blind spots in low- and middle-income regions where the virus may be evolving undetected. Building equitable, global genomic surveillance networks is a fundamental priority for pandemic prevention [89,90].
Critical Synthesis: Bridging Molecular Insights to Public Health Action
8. Strategic Imperatives: Navigating the New Era of H5N1
8.1. Policy and Strategic Recommendations for a Proactive Defense
- Implement Genomic Surveillance as a Core Public and Animal Health Utility.
- b.
- Operationalize the One Health Framework through Integrated Sentinel Systems.
- Scaling Environmental Surveillance: Expanding wastewater surveillance to monitor sentinel locations (e.g., near large poultry facilities, dairy farms, and wildlife congregations) provides a cost-effective, population-level early warning system for viral incursion [72].
- Formalizing Wildlife and Livestock Sentinel Networks: Establishing targeted, risk-based virological and serological surveillance in high-risk species (e.g., pigs, peri-domestic carnivores like foxes, and marine mammals in affected areas) to act as an early detector of mammalian adaptation and spillback events [36].
- c.
- Accelerate the Vaccine Ecosystem for Both Prevention and Response.
- For Human Pandemic Preparedness: Investment must accelerate beyond traditional egg-based platforms. mRNA and recombinant nanoparticle vaccine technologies offer the speed and flexibility required to respond to a rapidly evolving threat or a sudden pandemic spark. Concurrently, sustained research into universal influenza vaccine candidates targeting conserved viral regions remains a critical long-term goal for overcoming antigenic drift [77,79].
- For Animal Reservoir Control: The development and strategic deployment of vaccines in animal reservoirs is a legitimate and necessary public health intervention. Learning from China’s success with H5/H7 poultry vaccination, the international community must support the rapid development and evaluation of effective vaccines for livestock, beginning with dairy cattle [39,80]. This must be coupled with robust “DIVA” (Differentiating Infected from Vaccinated Animals) strategies and surveillance to prevent masking virus circulation.
- d.
- Enforce and Fundamentally Re-think Agricultural Biosecurity.
- e.
- Prioritize High-Risk Group Protection and Justified Use of Pre-pandemic Vaccines.
8.2. A Call for Sustained Vigilance and Global Solidarity
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Wong, S.Y.H. Highly Pathogenic Avian Influenza (H5N1) in Hong Kong, 1997–2014: Towards an Urban Biopolitical Immunology. Ph.D. Thesis, The University of Manchester, Manchester, UK, 2015. [Google Scholar]
- Guan, Y.; Peiris, J.S.; Lipatov, A.S.; Ellis, T.M.; Dyrting, K.C.; Krauss, S.; Zhang, L.J.; Webster, R.G.; Shortridge, K.F. Emergence of multiple genotypes of H5N1 avian influenza viruses in Hong Kong SAR. Proc. Natl. Acad. Sci. USA 2002, 99, 8950–8955. [Google Scholar]
- Pohlmann, A.; King, J.; Fusaro, A.; Zecchin, B.; Banyard, A.C.; Brown, I.H.; Byrne, A.M.P.; Beerens, N.; Liang, Y.; Heutink, R.; et al. Has epizootic become enzootic? Evidence for a fundamental change in the infection dynamics of highly pathogenic avian influenza in Europe, 2021. mBio 2022, 13, e0060922. [Google Scholar] [CrossRef]
- Caserta, L.C.; Frye, E.A.; Butt, S.L.; Laverack, M.; Nooruzzaman, M.; Covaleda, L.M.; Thompson, A.C.; Prarat Koscielny, M.; Cronk, B.; Johnson, A.; et al. From birds to mammals: Spillover of highly pathogenic avian influenza H5N1 virus to dairy cattle led to efficient intra-and interspecies transmission. bioRxiv 2024. [Google Scholar] [CrossRef]
- Everest, H.; Hill, S.C.; Daines, R.; Sealy, J.E.; James, J.; Hansen, R.; Iqbal, M. The evolution, spread and global threat of H6Nx avian influenza viruses. Viruses 2020, 12, 673. [Google Scholar] [CrossRef]
- Gaymard, A.; Le Briand, N.; Frobert, E.; Lina, B.; Escuret, V. Functional balance between neuraminidase and haemagglutinin in influenza viruses. Clin. Microbiol. Infect. 2016, 22, 975–983. [Google Scholar] [CrossRef]
- de Bruin, A.C.; Funk, M.; Spronken, M.I.; Gultyaev, A.P.; Fouchier, R.A.; Richard, M. Hemagglutinin subtype specificity and mechanisms of highly pathogenic avian influenza virus genesis. Viruses 2022, 14, 1566. [Google Scholar] [CrossRef]
- Cairns Queensland Australia. Abstracts of papers presented at the Asia-Pacific forum on tropical health innovation, incorporating the annual scientific meeting of the ACTM, and the Australian centre for international and tropical health and nutritiona. Ann. ACTM Int. J. Trop. Travel Med. 2004, 5, 24–38. [Google Scholar]
- Gashaw, M. A review on avian influenza and its economic and public health impact. Int. J. Vet. Sci. Technol. 2020, 4, 15–27. [Google Scholar]
- Greger, M. The human/animal interface: Emergence and resurgence of zoonotic infectious diseases. Crit. Rev. Microbiol. 2007, 33, 243–299. [Google Scholar] [CrossRef]
- Brüssow, H. Avian influenza virus cross-infections as test case for pandemic preparedness: From epidemiological hazard models to sequence-based early viral warning systems. Microb. Biotechnol. 2024, 17, e14389. [Google Scholar] [CrossRef]
- Suttie, A.; Tok, S.; Yann, S.; Keo, P.; Horm, S.V.; Roe, M.; Kaye, M.; Sorn, S.; Holl, D.; Tum, S.; et al. Diversity of A (H5N1) clade 2.3. 2.1 c avian influenza viruses with evidence of reassortment in Cambodia, 2014–2016. PLoS ONE 2019, 14, e0226108. [Google Scholar] [CrossRef]
- Trampuz, A.; Prabhu, R.M.; Smith, T.F.; Baddour, L.M. Avian influenza: A new pandemic threat? In Mayo Clinic Proceedings; Elsevier: Amsterdam, The Netherlands, 2004; Volume 79, pp. 523–530. [Google Scholar]
- Kayali, G.; Kandeil, A.; El-Shesheny, R.; Kayed, A.S.; Maatouq, A.M.; Cai, Z.; McKenzie, P.P.; Webby, R.J.; El Refaey, S.; Kandeel, A.; et al. Avian Influenza A(H5N1) Virus in Egypt. Emerg. Infect. Dis. 2016, 22, 379–388. [Google Scholar] [CrossRef]
- El-Shesheny, R.; Kandeil, A.; Mostafa, A.; Ali, M.A.; Webby, R.J. H5 Influenza Viruses in Egypt. Cold Spring Harb. Perspect. Med. 2021, 11, a038745. [Google Scholar] [CrossRef]
- Bennison, A.; Adlard, S.; Banyard, A.C.; Blockley, F.; Blyth, M.; Browne, E.; Day, G.; Dunn, M.J.; Falchieri, M.; Fitzcharles, E.; et al. A case study of highly pathogenic avian influenza (HPAI) H5N1 at Bird Island, South Georgia: The first documented outbreak in the subantarctic region. Bird Study 2024, 71, 380–391. [Google Scholar] [CrossRef]
- Mostafa, A.; Nogales, A.; Martinez-Sobrido, L. Highly pathogenic avian influenza H5N1 in the United States: Recent incursions and spillover to cattle. NPJ Viruses 2025, 3, 54. [Google Scholar] [CrossRef]
- Fabrizio, T.P.; Kandeil, A.; Harrington, W.N.; Jones, J.C.; Jeevan, T.; Andreev, K.; Seiler, P.; Fogo, J.; Davis, M.L.; Crumpton, J.C.; et al. Genotype B3. 13 influenza A (H5N1) viruses isolated from dairy cattle demonstrate high virulence in laboratory models, but retain avian virus-like properties. Nat. Commun. 2025, 16, 6771. [Google Scholar] [CrossRef]
- El-Bidawy, M.H.; Mohammad, I.; Ansari, M.R.; Hajelbashir, M.I.; Khan, M.S.; Poyil, M.M.; Bari, M.N.; Arafah, A.M.; Kamal, M.A.; Ahsan, S.T.M. Highly Pathogenic Avian Influenza: Tracking the Progression from IAV (H5N1) to IAV (H7N9) and Preparing for Emerging Challenges. Microorganisms 2026, 14, 12. [Google Scholar] [CrossRef]
- Claes, F.; Morzaria, S.P.; Donis, R.O. The highly pathogenic avian influenza A (H5N1) virus of clade 2.3.4.4b in Europe: A narrative review. Eurosurveillance 2023, 28, 2300201. [Google Scholar]
- Xie, R.; Edwards, K.M.; Wille, M.; Wei, X.; Wong, S.S.; Zanin, M.; El-Shesheny, R.; Ducatez, M.; Poon, L.L.M.; Kayali, G.; et al. The episodic resurgence of highly pathogenic avian influenza H5 virus. Nature 2023, 622, 810–817. [Google Scholar] [CrossRef]
- Youk, S.; Torchetti, M.K.; Lantz, K.; Lenoch, J.B.; Killian, M.L.; Leyson, C.; Bevins, S.N.; Dilione, K.; Ip, H.S.; Stallknecht, D.E.; et al. H5N1 highly pathogenic avian influenza clade 2.3. 4.4 b in wild and domestic birds: Introductions into the United States and reassortments, December 2021–April 2022. Virology 2023, 587, 109860. [Google Scholar] [CrossRef]
- US Department of Agriculture, Animal and Plant Health Inspection Service (USDA APHIS). 2022–2023 Confirmations of Highly Pathogenic Avian Influenza in Commercial and Backyard Flocks; USDA: Washington, DC, USA, 2023.
- Canadian Food Inspection Agency (CFIA). 2025 Report: HPAI in Canada—Epidemiology and Impact; CFIA: Ottawa, ON, Canada, 2025.
- European Food Safety Authority (EFSA); European Centre for Disease Prevention and Control (ECDC); European Union Reference Laboratory for Avian Influenza. Scientific report: Avian influenza overview December 2022–March 2023. EFSA J. 2023, 21, 7917. [Google Scholar]
- Kuchler, F.; Risdon, R. Economic and Market Impacts of HPAI Outbreaks in the United States; U.S. Department of Agriculture, Economic Research Service: Washington, DC, USA, 2023.
- Agüero, M.; Monne, I.; Sánchez, A.; Zecchin, B.; Fusaro, A.; Ruano, M.J.; Arrojo, M.d.V.; Fernández-Antonio, R.; Souto, A.M.; Tordable, P.; et al. Highly pathogenic avian influenza A(H5N1) virus infection in farmed minks, Spain, October 2022. Eurosurveillance 2023, 28, 2300001. [Google Scholar] [CrossRef] [PubMed]
- Leguia, M.; Garcia-Glaessner, A.; Muñoz-Saavedra, B.; Juarez, D.; Barrera, P.; Calvo-Mac, C.; Jara, J.; Silva, W.; Ploog, K.; Amaro, L.; et al. Highly pathogenic avian influenza A (H5N1) in marine mammals and seabirds in Peru. Nat. Commun. 2023, 14, 5489. [Google Scholar] [CrossRef] [PubMed]
- Burrough, E.R.; Magstadt, D.R.; Petersen, B.; Timmermans, S.J.; Gauger, P.C.; Zhang, J.; Siepker, C.; Mainenti, M.; Li, G.; Thompson, A.C.; et al. Highly Pathogenic Avian Influenza A(H5N1) Clade 2.3.4.4b Virus Infection in Domestic Dairy Cattle and Cats, United States, 2024. Emerg. Infect. Dis. 2024, 30, 1335–1343. [Google Scholar] [CrossRef] [PubMed]
- Steinhauer, D.A. Role of hemagglutinin cleavage for the pathogenicity of influenza virus. Virology 1999, 258, 1–20. [Google Scholar] [CrossRef]
- Horimoto, T.; Kawaoka, Y. Pandemic threat posed by avian influenza A viruses. Clin. Microbiol. Rev. 2001, 14, 129–149. [Google Scholar] [CrossRef]
- Shi, Y.; Zhang, W.; Wang, F.; Qi, J.; Wu, Y.; Song, H.; Gao, F.; Bi, Y.; Zhang, Y.; Fan, Z.; et al. Structures and receptor binding of hemagglutinins from human-infecting H7N9 influenza viruses. Science 2013, 342, 243–247. [Google Scholar] [CrossRef]
- Herfst, S.; Schrauwen, E.J.; Linster, M.; Chutinimitkul, S.; de Wit, E.; Munster, V.J.; Sorrell, E.M.; Bestebroer, T.M.; Burke, D.F.; Smith, D.J.; et al. Airborne transmission of influenza A/H5N1 virus between ferrets. Science 2012, 336, 1534–1541. [Google Scholar] [CrossRef]
- Subbarao, E.K.; London, W.; Murphy, B.R. A single amino acid in the PB2 gene of influenza A virus is a determinant of host range. J. Virol. 1993, 67, 1761–1764. [Google Scholar] [CrossRef]
- Gabriel, G.; Dauber, B.; Wolff, T.; Planz, O.; Klenk, H.D.; Stech, J. The viral polymerase mediates adaptation of an avian influenza virus to a mammalian host. Proc. Natl. Acad. Sci. USA 2005, 102, 18590–18595. [Google Scholar] [CrossRef]
- Kandeil, A.; Patton, C.; Jones, J.C.; Jeevan, T.; Harrington, W.N.; Trifkovic, S.; Seiler, J.P.; Fabrizio, T.; Woodard, K.; Turner, J.C.; et al. Rapid evolution of A (H5N1) influenza viruses after intercontinental spread to North America. Nat. Commun. 2023, 14, 3082. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization (WHO). Cumulative Number of Confirmed Human Cases for Avian Influenza A(H5N1) Reported to WHO, 2003–2025; WHO: Geneva, Switzerland, 2025.
- Uyeki, T.M.; Milton, S.; Abdul Hamid, C.; Reinoso Webb, C.; Presley, S.M.; Shetty, V.; Rollo, S.N.; Martinez, D.L.; Rai, S.; Gonzales, E.R.; et al. Highly pathogenic avian influenza A(H5N1) virus infection in a dairy farm worker. N. Engl. J. Med. 2024, 390, 2028–2029. [Google Scholar] [CrossRef] [PubMed]
- Robinson-McCarthy, L.R.; Simmons, H.C.; Graber, A.L.; Marble, C.N.; Graudin, G.W.; McCarthy, K.R. Dairy cattle herds mount a characteristic antibody response to highly pathogenic H5N1 avian influenza viruses. J. Virol. 2025, 99, e00621-25. [Google Scholar] [CrossRef] [PubMed]
- Finnish Institute for Health and Welfare (THL). Vaccination Against Avian Influenza for At-Risk Groups Began—Good Protection Achieved; Finnish Institute for Health and Welfare (THL): Helsinki, Finland, 2024.
- Grubaugh, N.D.; Ladner, J.T.; Lemey, P.; Pybus, O.G.; Rambaut, A.; Holmes, E.C.; Andersen, K.G. Tracking virus outbreaks in the twenty-first century. Nat. Microbiol. 2019, 4, 10–19. [Google Scholar] [CrossRef]
- Nunez, I.A.; Ross, T.M. A review of H5Nx avian influenza viruses. Ther. Adv. Vaccines Immunother. 2019, 7, 2515135518821625. [Google Scholar] [CrossRef]
- Swayne, D.E. Impact of vaccines and vaccination on global control of avian influenza. Avian Dis. 2012, 56, 818–828. [Google Scholar] [CrossRef]
- Neumann, G.; Kawaoka, Y. Transmission of influenza A viruses. Virology 2015, 479–480, 234–246. [Google Scholar] [CrossRef]
- European Food Safety Authority; European Centre for Disease Prevention and Control; European Union Reference Laboratory for Avian Influenza; Fusaro, A.; Gonzales, J.L.; Kuiken, T.; Mirinavičiūtė, G.; Niqueux, É.; Ståhl, K.; Staubach, C.; et al. Avian influenza overview December 2023–March 2024. EFSA J. 2024, 22, 8754. [Google Scholar] [CrossRef]
- Russier, M.; Yang, G.; Rehg, J.E.; Wong, S.S.; Mostafa, H.H.; Fabrizio, T.P.; Barman, S.; Krauss, S.; Webster, R.G.; Webby, R.J.; et al. Molecular requirements for a pandemic influenza virus: An acid-stable hemagglutinin protein. Proc. Natl. Acad. Sci. USA 2016, 113, 1636–1641. [Google Scholar] [CrossRef]
- Gabriel, G.; Klingel, K.; Otte, A.; Thiele, S.; Hudjetz, B.; Arman-Kalcek, G.; Sauter, M.; Shmidt, T.; Rother, F.; Baumgarte, S.; et al. Differential use of importin-α isoforms governs cell tropism and host adaptation of influenza virus. Nat. Commun. 2011, 2, 156. [Google Scholar] [CrossRef]
- Long, J.S.; Giotis, E.S.; Moncorgé, O.; Frise, R.; Mistry, B.; James, J.; Morisson, M.; Iqbal, M.; Vignal, A.; Skinner, M.A.; et al. Species difference in ANP32A underlies influenza A virus polymerase host restriction. Nature 2016, 529, 101–104. [Google Scholar] [CrossRef] [PubMed]
- Garcia-Sastre, A.; Egorov, A.; Matassov, D.; Brandt, S.; Levy, D.E.; Durbin, J.E.; Palese, P.; Musterbc, T. Influenza A virus lacking the NS1 gene replicates in interferon-deficient systems. Virology 1998, 252, 324–330. [Google Scholar] [CrossRef] [PubMed]
- Seo, S.H.; Hoffmann, E.; Webster, R.G. Lethal H5N1 influenza viruses escape host anti-viral cytokine responses. Nat. Med. 2002, 8, 950–954. [Google Scholar] [CrossRef] [PubMed]
- Zamarin, D.; Garcia-Sastre, A.; Xiao, X.; Wang, R.; Palese, P. Influenza virus PB1-F2 protein induces cell death through mitochondrial ANT3 and VDAC1. PLoS Pathog. 2005, 1, e4. [Google Scholar] [CrossRef]
- Zhou, H.; Yu, Z.; Hu, Y.; Tu, J.; Zou, W.; Peng, Y.; Zhu, J.; Li, Y.; Zhang, A.; Yu, Z. The special neuraminidase stalk of highly pathogenic avian influenza virus H5N1 is critical for its biological properties. J. Virol. 2009, 83, 843–850. [Google Scholar]
- Blagodatski, A.; Trutneva, K.; Glazova, O.; Mityaeva, O.; Shevkova, L.; Kegeles, E.; Onyanov, N.; Fede, K.; Maznina, A.; Khavina, E.; et al. Avian influenza in wild birds and poultry: Dissemination pathways, monitoring methods, and virus ecology. Pathogens 2021, 10, 630. [Google Scholar] [CrossRef]
- Smith, D.J.; Lapedes, A.S. The role of nucleoprotein in influenza A virus host adaptation. J. Virol. 2009, 83, 12804–12809. [Google Scholar]
- de Jong, M.D.; Simmons, C.P.; Thanh, T.T.; Hien, V.M.; Smith, G.J.; Chau, T.N.; Hoang, D.M.; Chau, N.V.V.; Khanh, T.H.; Dong, V.C.; et al. Fatal outcome of human influenza A (H5N1) is associated with high viral load and hypercytokinemia. Nat. Med. 2006, 12, 1203–1207. [Google Scholar] [CrossRef]
- Peiris, J.S.; Hui, K.P.; Yen, H.L. Host response to influenza virus: Protection versus immunopathology. Curr. Opin. Immunol. 2010, 22, 475–481. [Google Scholar] [CrossRef]
- Claes, F.; Morzaria, S.P.; Donis, R.O. Emergence and dissemination of clade 2.3.4.4b H5N1 highly pathogenic avian influenza virus. Rev. Sci. Tech. 2023, 42, 320–333. [Google Scholar]
- Wille, M.; Holmes, E.C. The ecology and evolution of influenza viruses. Cold Spring Harb. Perspect. Med. 2020, 10, a038489. [Google Scholar]
- Shinya, K.; Ebina, M.; Yamada, S.; Ono, M.; Kasai, N.; Kawaoka, Y. Avian flu: Influenza virus receptors in the human airway. Nature 2006, 440, 435–436. [Google Scholar] [CrossRef]
- Stevens, J.; Blixt, O.; Tumpey, T.M.; Taubenberger, J.K.; Paulson, J.C.; Wilson, I.A. Structure and receptor specificity of the hemagglutinin from an H5N1 influenza virus. Science 2006, 312, 404–410. [Google Scholar] [CrossRef] [PubMed]
- Connor, R.J.; Kawaoka, Y.; Webster, R.G.; Paulson, J.C. Receptor specificity in human, avian, and equine H2 and H3 influenza virus isolates. Virology 1994, 205, 17–23. [Google Scholar] [CrossRef] [PubMed]
- Belser, J.A.; Bridges, C.B.; Katz, J.M.; Tumpey, T.M. Past, present, and possible future human infection with influenza virus A subtype H7. Emerg. Infect. Dis. 2009, 15, 859–865. [Google Scholar] [CrossRef] [PubMed]
- Imai, M.; Watanabe, T.; Hatta, M.; Das, S.C.; Ozawa, M.; Shinya, K.; Zhong, G.; Hanson, A.; Katsura, H.; Watanabe, S.; et al. Experimental adaptation of an influenza H5 HA confers respiratory droplet transmission to a reassortant H5 HA/H1N1 virus in ferrets. Nature 2012, 486, 420–428. [Google Scholar] [CrossRef]
- Ma, W.; Kahn, R.E.; Richt, J.A. The pig as a mixing vessel for influenza viruses: Human and veterinary implications. J. Mol. Genet. Med. 2008, 3, 158–166. [Google Scholar]
- Kuchipudi, S.V.; Nissly, R.H. Novel influenza A viruses in pigs, cattle, and other livestock species: A One Health perspective on cross-species transmission and pandemic risk. Annu. Rev. Anim. Biosci. 2023, 11, 447–470. [Google Scholar]
- Ren, H.; Jin, Y.; Hu, M.; Zhou, J.; Song, T.; Huang, Z.; Li, B.; Li, K.; Zhou, W.; Dai, H.; et al. Ecological dynamics of influenza A viruses: Cross-species transmission and global migration. Sci. Rep. 2016, 6, 36839. [Google Scholar] [CrossRef]
- Restori, K.H.; Septer, K.M.; Field, C.J.; Patel, D.R.; VanInsberghe, D.; Raghunathan, V.; Lowen, A.C.; Sutton, T.C. Risk assessment of a highly pathogenic H5N1 influenza virus from mink. Nat. Commun. 2024, 15, 4112. [Google Scholar] [CrossRef]
- Puryear, W.; Sawatzki, K.; Hill, N.; Foss, A.; Stone, J.J.; Doughty, L.; Walk, D.; Gilbert, K.; Murray, M.; Cox, E. Outbreak of highly pathogenic avian influenza H5N1 in New England seals. Emerg. Infect. Dis. 2023, 29, 786–791. [Google Scholar] [CrossRef] [PubMed]
- Linster, M.; van Boheemen, S.; de Graaf, M.; Schrauwen, E.J.A.; Lexmond, P.; Mänz, B.; Bestebroer, T.M.; Baumann, J.; van Riel, D.; Rimmelzwaan, G.F. Identification, characterization, and natural selection of mutations driving airborne transmission of A/H5N1 virus. Cell 2014, 158, 329–339. [Google Scholar]
- Long, J.S.; Mistry, B.; Haslam, S.M.; Barclay, W.S. Host and viral determinants of influenza A virus species specificity. Nat. Rev. Microbiol. 2019, 17, 67–81. [Google Scholar] [PubMed]
- Wu, J.; Lu, J.; Faria, N.R.; Zeng, X.; Song, Y.; Zou, L.; Yi, L.; Liang, L.; Ni, H.; Kang, M.; et al. Effect of live poultry market interventions on influenza A(H7N9) virus, Guangdong, China. Emerg. Infect. Dis. 2019, 22, 2104–2112. [Google Scholar]
- Kirby, A.E.; Walters, M.S.; Jennings, W.C.; Fugitt, R.; LaCross, N.; Mattioli, M.; Marsh, Z.A.; Roberts, V.A.; Mercante, J.W.; Yoder, J.; et al. Using wastewater surveillance data to support the COVID-19 response United States, 2020–2021. MMWR Morb. Mortal. Wkly. Rep. 2021, 70, 1242–1244. [Google Scholar] [CrossRef]
- World Health Organization. Global Influenza Strategy 2019–2030; WHO: Geneva, Switzerland, 2019.
- Paules, C.I.; Marston, H.D.; Eisinger, R.W.; Baltimore, D.; Fauci, A.S. The pathway to a universal influenza vaccine. Immunity 2017, 47, 599–603. [Google Scholar] [CrossRef]
- US Department of Health and Human Services. HHS Influenza Pandemic Plan; US Department of Health and Human Services: Washington, DC, USA, 2017.
- Moderna, Inc. Moderna Awarded $176 Million to Accelerate Development of mRNA-Based Avian Influenza Vaccine; Moderna, Inc.: Cambridge, MA, USA, 2024. [Google Scholar]
- Freyn, A.W.; Ramos da Silva, J.; Rosado, V.C.; Bliss, C.M.; Pine, M.; Mui, B.L.; Tam, Y.K.; Madden, T.D.; Ferreira, L.C.d.S.; Weissman, D.; et al. A multi-targeting, nucleoside-modified mRNA influenza virus vaccine provides broad protection in mice. Mol. Ther. 2020, 28, 1569–1584. [Google Scholar]
- Pushko, P.; Tretyakova, I. Influenza virus-like particles as pandemic vaccines. Curr. Top. Microbiol. Immunol. 2021, 433, 1–38. [Google Scholar]
- Krammer, F.; Palese, P. Advances in the development of influenza virus vaccines. Nat. Rev. Drug Discov. 2015, 14, 167–182. [Google Scholar]
- Shi, J.; Zeng, X.; Cui, P.; Yan, C.; Chen, H. Alarming situation of emerging H5 and H7 avian influenza and effective control strategies. Emerg. Microbes Infect. 2023, 12, 2155072. [Google Scholar]
- Swayne, D.E.; Kapczynski, D. Strategies and challenges for eliciting immunity against avian influenza virus in birds. Immunol. Rev. 2008, 225, 314–331. [Google Scholar] [CrossRef] [PubMed]
- Borges, V.; Pinheiro, M.; Pechirra, P.; Guiomar, R.; Gomes, J.P. INSaFLU: An automated open web-based bioinformatics suite for next-generation sequencing data analysis of influenza viruses. J. Clin. Microbiol. 2018, 56, e00588-18. [Google Scholar]
- Shu, Y.; McCauley, J. GISAID: Global initiative on sharing all influenza data—From vision to reality. Eurosurveillance 2017, 22, 30494. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Tool for Influenza Pandemic Risk Assessment (TIPRA); WHO: Geneva, Switzerland, 2016.
- Klingen, T.R.; Reimering, S.; Guzmán, C.A.; McHardy, A.C. In silico vaccine prediction: A pipeline for identifying candidate vaccine antigens. Methods Mol. Biol. 2022, 2410, 295–307. [Google Scholar]
- Prosser, D.J.; Hungerford, L.L.; Erwin, R.M.; Ottinger, M.A.; Takekawa, J.Y.; Ellis, E.C. Mapping avian influenza transmission risk at the interface of domestic poultry and wild birds. Front. Public Health 2013, 1, 28. [Google Scholar] [CrossRef]
- Herfst, S.; Böhringer, M.; Karo, B.; Lawrence, P.; Lewis, N.S.; Mina, M.J.; Russell, C.J.; Steel, J.; de Swart, R.L.; Menge, C.; et al. Drivers of airborne human-to-human pathogen transmission. Curr. Opin. Virol. 2017, 22, 22–29. [Google Scholar] [CrossRef]
- Belser, J.A.; Barclay, W.; Barr, I.; Fouchier, R.A.M.; Matsuyama, R.; Nishiura, H.; Peiris, M.; Russell, C.J.; Subbarao, K.; Zhu, H.; et al. Ferrets as models for influenza virus transmission studies and pandemic risk assessments. Emerg. Infect. Dis. 2018, 24, 965–971. [Google Scholar] [CrossRef]
- Gardy, J.L.; Loman, N.J. Towards a genomics-informed, real-time, global pathogen surveillance system. Nat. Rev. Genet. 2018, 19, 9–20. [Google Scholar] [CrossRef]
- CDC (Centers for Disease Control and Prevention). Technical Report: Multi-State Outbreak of Highly Pathogenic Avian Influenza A(H5N1) Virus in Dairy Cattle and Reported Human Cases; CDC: Atlanta, GA, USA, 2025.
- Kong, H.; Yang, J.; Shi, J.; Cui, P.; Zeng, X.; Liu, W.; He, X.; Zhang, X.; Chen, L.; Zhuang, Y.; et al. Protective Efficacy of a Hemagglutinin-Based mRNA Vaccine Against H5N1 Influenza Virus Challenge in Lactating Dairy Cows. Research 2026, 9, 1104. [Google Scholar] [CrossRef]


| Platform | Typical Development Timeline | Key Advantages | Major Limitations | Current Development Status (2024–2025) | Representative Examples & References |
|---|---|---|---|---|---|
| Egg-based Inactivated | 4–6 months |
|
| Licensed and stockpiled | AUDENZ® (Seqirus), licensed in US/EU for pre-pandemic use [19,75] |
| Cell-based Inactivated | 3–4 months |
|
| Licensed and stockpiled | Celvapan (Baxter), pandemic preparedness stockpiles [74] |
| mRNA-LNP | Weeks to 2 months |
|
| Phase 1/2 clinical trials | Moderna mRNA-1010 (NCT06197191); Pfizer/BioNTech candidates [76,77] |
| Virus-like Particle (VLP) | 2–3 months |
|
| Preclinical to Phase 1 | Medicago plant-based VLP platform; Novavax Matrix-M adjuvanted [78] |
| Recombinant HA Protein | 3–4 months |
|
| Clinical development | Sanofi recombinant HA vaccines; GSK pandemic candidates [79] |
| Viral Vector (e.g., Adenovirus) | 2–3 months |
|
| Early clinical/ preclinical | Janssen Ad26 platform; University of Oxford ChAdOx1 [79] |
| Name | Platform Technology | Target Antigen/Clade | Developer/ Sponsor | Current Clinical Stage | Clinical Trial Identifier (NCT)/Key Reference |
|---|---|---|---|---|---|
| mRNA-1010 | Nucleoside-modified mRNA-LNP | H5 HA (clade 2.3.4.4b) | Moderna, Inc. | Phase 1/2 (interim) | NCT06197191; Moderna press release (2024) [76] |
| VRBP-200 | Recombinant HA (insect cell) | H5 HA (clade 2.3.4.4b) | Sanofi Pasteur | Phase 1/2 (completing) | Company pipeline; expected 2025 data |
| GLS-5310 | DNA plasmid + electroporation | H5 HA + conserved NP/M2e | GeneOne Life Science, Inovio | Phase 1 (completed) | NCT05639335; reported immunogenicity (2024) |
| Cohort 1: Adjuvanted Inactivated | Egg-based, MF59-adjuvanted | H5 (clade 2.3.4.4b) | Seqirus (CSL) | Phase 3 immunobridging | Part of US prepandemic stockpile; licensed 2020 [19] |
| MVC-COV1901 (H5 variant) | Protein subunit (S-2P) | H5 HA (multiple clades) | Medigen Vaccine Biologics | Phase 1 (initiated) | Based on successful COVID-19 platform; 2024 announcement |
| VXA-H5-1.1 | Adenovector (oral) | H5 HA + dsRNA adjuvant | Vaxart | Phase 1 (planned) | Oral tablet format; preclinical data 2023 |
| INfluenza-VLPs | Plant-derived VLP | H5 HA (2.3.4.4b) | Medicago (GSK) | Preclinical Phase 1 | Platform validated for seasonal flu; H5N1 in development [78] |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Mohammad, I.; Hajelbashir, M.I.; El-Bidawy, M.H.; Abuderman, A.; Satea, M.; Arafah, A.M.R.; Ansari, M.R.; Rahmani, M.; Warsi, M.K.; Helmi, N.; et al. Deciphering HPAI Influenza A Virus (H5N1): Molecular Basis of Pathogenicity, Zoonotic Potential, and Advances in Vaccination Strategies. Viruses 2026, 18, 410. https://doi.org/10.3390/v18040410
Mohammad I, Hajelbashir MI, El-Bidawy MH, Abuderman A, Satea M, Arafah AMR, Ansari MR, Rahmani M, Warsi MK, Helmi N, et al. Deciphering HPAI Influenza A Virus (H5N1): Molecular Basis of Pathogenicity, Zoonotic Potential, and Advances in Vaccination Strategies. Viruses. 2026; 18(4):410. https://doi.org/10.3390/v18040410
Chicago/Turabian StyleMohammad, Imran, Mohammed Ibrahim Hajelbashir, Mahmoud H. El-Bidawy, Abdulwahab Abuderman, Murtaja Satea, Abdullah M. R. Arafah, Md. Rizwan Ansari, Mahjabeen Rahmani, Mohiuddin Khan Warsi, Nawal Helmi, and et al. 2026. "Deciphering HPAI Influenza A Virus (H5N1): Molecular Basis of Pathogenicity, Zoonotic Potential, and Advances in Vaccination Strategies" Viruses 18, no. 4: 410. https://doi.org/10.3390/v18040410
APA StyleMohammad, I., Hajelbashir, M. I., El-Bidawy, M. H., Abuderman, A., Satea, M., Arafah, A. M. R., Ansari, M. R., Rahmani, M., Warsi, M. K., Helmi, N., & Kamal, M. A. (2026). Deciphering HPAI Influenza A Virus (H5N1): Molecular Basis of Pathogenicity, Zoonotic Potential, and Advances in Vaccination Strategies. Viruses, 18(4), 410. https://doi.org/10.3390/v18040410

