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Vaccine2007; 25(43); 7520-7529; doi: 10.1016/j.vaccine.2007.08.038

Risk factors for influenza infection in vaccinated racehorses: lessons from an outbreak in Newmarket, UK in 2003.

Abstract: Between March and May 2003, clinical equine influenza was confirmed among vaccinated racehorses in Newmarket, UK. A particular feature was that 2-year-old horses were apparently less susceptible than older animals. Statistical analyses comparing infected and non-infected animals showed the unusual, apparently counter-intuitive inverse age effect was principally explained by more recent vaccination among younger animals, despite broadly equivalent antibody levels between age groups. There was novel evidence for sexual dimorphism in susceptibility to infection and data supported the hypothesis that vaccination at a young age in the presence of maternally derived antibody has detrimental long-term effects on protective immunity. The practice of blanket vaccination soon after initial diagnosis ('vaccinating in the face of the outbreak') was apparently supported as a method of control. Data suggested that protective immunity conveyed by aluminium hydroxide-only adjuvanted vaccine was sub-optimal compared to other vaccine preparations.
Publication Date: 2007-09-06 PubMed ID: 17889409DOI: 10.1016/j.vaccine.2007.08.038Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research looks into the risk factors for influenza in vaccinated racehorses during an outbreak in the UK in 2003. The study found that younger horses were less susceptible to infection despite similar antibody levels to older horses, potentially due to recent vaccination. The research also found evidence of gender influencing susceptibility and suggested potential negative effects from early vaccination in the presence of maternal antibodies.

Overview of the Study

  • The research was triggered by an outbreak of clinical equine influenza in vaccinated racehorses in Newmarket, UK from March to May 2003.
  • The study focused on examining the risk factors for the infection, particularly why 2-year-old horses were less susceptible than older animals.

Findings of the Research

  • The study made several key findings. The primary discovery was the lower susceptibility of 2-year-old horses to the influenza infection compared to older horses. The decrease in susceptibility was mainly attributed to more recent vaccination in younger horses, despite the antibody levels between different age groups being similar overall.
  • The researchers also found that there could be a sexual dimorphism in susceptibility to the infection, although the actual differences and reasons behind these potential sex-based variations were not specifically detailed.
  • Another significant finding was the possible negative effects of vaccination at a young age when maternal antibodies are present. This suggests that the timing of vaccination could have far-reaching impacts on long-term immunity to the influenza infection.

Implications of the Research

  • An interesting implication of the study is the support it gives to the practice of blanket vaccination soon after initial diagnosis, often termed as ‘vaccinating in the face of the outbreak.’ This could be a useful method of controlling future outbreaks.
  • The research also indicated that the protective immunity offered by vaccines with only aluminium hydroxide as the adjuvant might be sub-optimal compared to other vaccines. It implies a need to examine and potentially reconsider the composition of vaccines used for equine influenza.

Cite This Article

APA
Barquero N, Daly JM, Newton JR. (2007). Risk factors for influenza infection in vaccinated racehorses: lessons from an outbreak in Newmarket, UK in 2003. Vaccine, 25(43), 7520-7529. https://doi.org/10.1016/j.vaccine.2007.08.038

Publication

ISSN: 0264-410X
NlmUniqueID: 8406899
Country: Netherlands
Language: English
Volume: 25
Issue: 43
Pages: 7520-7529

Researcher Affiliations

Barquero, Nuria
  • Centre for Preventive Medicine, Animal Health Trust, Lanwades Park, Kentford, Newmarket, Suffolk CB8 7UU, United Kingdom.
Daly, Janet M
    Newton, J Richard

      MeSH Terms

      • Animals
      • Disease Outbreaks / prevention & control
      • Disease Outbreaks / veterinary
      • Female
      • Horse Diseases / epidemiology
      • Horse Diseases / immunology
      • Horse Diseases / virology
      • Horses
      • Influenza A Virus, H3N8 Subtype / immunology
      • Influenza A Virus, H3N8 Subtype / isolation & purification
      • Influenza Vaccines / immunology
      • Male
      • Orthomyxoviridae Infections / epidemiology
      • Orthomyxoviridae Infections / immunology
      • Orthomyxoviridae Infections / veterinary
      • Risk Factors
      • United Kingdom / epidemiology

      Citations

      This article has been cited 12 times.
      1. Whitlock F, Grewar J, Newton R. An epidemiological overview of the equine influenza epidemic in Great Britain during 2019.. Equine Vet J 2023 Jan;55(1):153-164.
        doi: 10.1111/evj.13874pubmed: 36054725google scholar: lookup
      2. Whitlock F, Murcia PR, Newton JR. A Review on Equine Influenza from a Human Influenza Perspective.. Viruses 2022 Jun 15;14(6).
        doi: 10.3390/v14061312pubmed: 35746783google scholar: lookup
      3. Wilson A, Pinchbeck G, Dean R, McGowan C. Equine influenza vaccination in the UK: Current practices may leave horses with suboptimal immunity.. Equine Vet J 2021 Sep;53(5):1004-1014.
        doi: 10.1111/evj.13377pubmed: 33124070google scholar: lookup
      4. Rossi TM, Moore A, O'Sullivan TL, Greer AL. Equine Rhinitis A Virus Infection at a Standardbred Training Facility: Incidence, Clinical Signs, and Risk Factors for Clinical Disease.. Front Vet Sci 2019;6:71.
        doi: 10.3389/fvets.2019.00071pubmed: 30918893google scholar: lookup
      5. Dilai M, Piro M, El Harrak M, Fougerolle S, Dehhaoui M, Dikrallah A, Legrand L, Paillot R, Fassi Fihri O. Impact of Mixed Equine Influenza Vaccination on Correlate of Protection in Horses.. Vaccines (Basel) 2018 Oct 4;6(4).
        doi: 10.3390/vaccines6040071pubmed: 30287762google scholar: lookup
      6. Paillot R, Marcillaud Pitel C, D'Ablon X, Pronost S. Equine Vaccines: How, When and Why? Report of the Vaccinology Session, French Equine Veterinarians Association, 2016, Reims.. Vaccines (Basel) 2017 Dec 4;5(4).
        doi: 10.3390/vaccines5040046pubmed: 29207516google scholar: lookup
      7. Alves Beuttemmüller E, Woodward A, Rash A, Dos Santos Ferraz LE, Fernandes Alfieri A, Alfieri AA, Elton D. Characterisation of the epidemic strain of H3N8 equine influenza virus responsible for outbreaks in South America in 2012.. Virol J 2016 Mar 19;13:45.
        doi: 10.1186/s12985-016-0503-9pubmed: 26993620google scholar: lookup
      8. Paillot R. A Systematic Review of Recent Advances in Equine Influenza Vaccination.. Vaccines (Basel) 2014 Nov 14;2(4):797-831.
        doi: 10.3390/vaccines2040797pubmed: 26344892google scholar: lookup
      9. Daly JM, Newton JR, Wood JL, Park AW. What can mathematical models bring to the control of equine influenza?. Equine Vet J 2013 Nov;45(6):784-8.
        doi: 10.1111/evj.12104pubmed: 23679041google scholar: lookup
      10. Hughes J, Allen RC, Baguelin M, Hampson K, Baillie GJ, Elton D, Newton JR, Kellam P, Wood JL, Holmes EC, Murcia PR. Transmission of equine influenza virus during an outbreak is characterized by frequent mixed infections and loose transmission bottlenecks.. PLoS Pathog 2012 Dec;8(12):e1003081.
        doi: 10.1371/journal.ppat.1003081pubmed: 23308065google scholar: lookup
      11. Bryant NA, Paillot R, Rash AS, Medcalf E, Montesso F, Ross J, Watson J, Jeggo M, Lewis NS, Newton JR, Elton DM. Comparison of two modern vaccines and previous influenza infection against challenge with an equine influenza virus from the Australian 2007 outbreak.. Vet Res 2010 Mar-Apr;41(2):19.
        doi: 10.1051/vetres/2009067pubmed: 19863903google scholar: lookup
      12. Baguelin M, Newton JR, Demiris N, Daly J, Mumford JA, Wood JL. Control of equine influenza: scenario testing using a realistic metapopulation model of spread.. J R Soc Interface 2010 Jan 6;7(42):67-79.
        doi: 10.1098/rsif.2009.0030pubmed: 19364721google scholar: lookup