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Scientific reports2019; 9(1); 15170; doi: 10.1038/s41598-019-51820-7

Antigen array for serological diagnosis and novel allergen identification in severe equine asthma.

Abstract: Severe equine asthma (sEA), which closely resembles human asthma, is a debilitating and performance-limiting allergic respiratory disorder which affects 14% of horses in the Northern Hemisphere and is associated with increased allergen-specific immunoglobulin E (IgE) against a range of environmental proteins. A comprehensive microarray platform was developed to enable the simultaneous detection of allergen-specific equine IgE in serum against a wide range of putative allergenic proteins. The microarray revealed a plethora of novel pollen, bacteria, mould and arthropod proteins significant in the aetiology of sEA. Moreover, the analyses revealed an association between sEA-affected horses and IgE antibodies specific for proteins derived from latex, which has traditionally been ubiquitous to the horse's environment in the form of riding surfaces and race tracks. Further work is required to establish the involvement of latex proteins in sEA as a potential risk factor. This work demonstrates a novel and rapid approach to sEA diagnosis, providing a platform for tailored management and the development of allergen-specific immunotherapy.
Publication Date: 2019-10-23 PubMed ID: 31645629PubMed Central: PMC6811683DOI: 10.1038/s41598-019-51820-7Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research paper is about the use of a new microarray platform to detect allergens and provide diagnosis in horses suffering from severe equine asthma, a condition similar to human asthma. The study also identified a potential risk factor – proteins derived from latex – for further investigation.

Understanding Severe Equine Asthma (sEA)

  • Severe Equine Asthma (sEA) is an allergic respiratory condition in horses that is similar to human asthma.
  • Around 14% of horses in the Northern Hemisphere are affected by this performance-limiting disorder.
  • The condition is associated with an increase in allergen-specific Immunoglobulin E (IgE), which is triggered by various environmental proteins.

Development of the Microarray Platform

  • The research team developed a comprehensive microarray platform, a technology that allows for the simultaneous detection of a wide range of allergen-specific equine IgE in horse serum.
  • This platform was designed to easily identify a variety of potential allergens that could trigger allergic reactions in horses.

Identification of Novel Allergens & Association with Latex

  • Through the use of the microarray, the research team was able to identify a range of new proteins significant in causing sEA, including those derived from pollen, bacteria, mould, and arthropods.
  • Interestingly, the analyses also revealed a potential association between horses affected by sEA and IgE antibodies specific to proteins derived from latex.
  • Latex is present in horses’ environments in various forms, such as riding surfaces and race tracks.

Potential Role of Latex Proteins & Future Research

  • The findings highlighted the need for further research to establish whether latex proteins play a role in severe equine asthma, which could position them as a potential risk factor for the disorder.
  • Understanding this association could potentially help in the development of new prevention and treatment strategies for sEA.

Contribution of the Study

  • The research provides a fresh and swift approach to diagnosing sEA and could pave the way for a more personalised management of the condition.
  • Furthermore, the study’s findings could contribute to understanding the allergenic triggers of sEA, with implications for potential future development of allergen-specific immunotherapies.

Cite This Article

APA
White SJ, Moore-Colyer M, Marti E, Hannant D, Gerber V, Coüetil L, Richard EA, Alcocer M. (2019). Antigen array for serological diagnosis and novel allergen identification in severe equine asthma. Sci Rep, 9(1), 15170. https://doi.org/10.1038/s41598-019-51820-7

Publication

ISSN: 2045-2322
NlmUniqueID: 101563288
Country: England
Language: English
Volume: 9
Issue: 1
Pages: 15170
PII: 15170

Researcher Affiliations

White, S J
  • Royal Agricultural University, Cirencester, Gloucestershire, GL7 6JS, UK. samuel.white@ntu.ac.uk.
  • School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK. samuel.white@ntu.ac.uk.
  • Nottingham Trent University, Brackenhurst Campus, Southwell, Nottinghamshire, NG25 0QF, UK. samuel.white@ntu.ac.uk.
Moore-Colyer, M
  • Royal Agricultural University, Cirencester, Gloucestershire, GL7 6JS, UK.
Marti, E
  • Department of Clinical Research and Veterinary Public Health, University of Bern, Bremgartenstr, Postfach, 3001, Bern, Switzerland.
Hannant, D
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK.
Gerber, V
  • Department of Clinical Research and Veterinary Public Health, University of Bern, Bremgartenstr, Postfach, 3001, Bern, Switzerland.
Coüetil, L
  • Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, 47907, USA.
Richard, E A
  • LABÉO Frank Duncombe, 1 route de Rosel, 14053, Caen, Cedex 4, France.
  • Normandie Univ, UniCaen, BIOTARGEN, 3 rue Nelson Mandela, 14280, Saint-Contest, France.
Alcocer, M
  • School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK.

MeSH Terms

  • Allergens / blood
  • Animals
  • Antigens / blood
  • Asthma / blood
  • Asthma / diagnosis
  • Asthma / veterinary
  • Discriminant Analysis
  • Horses / blood
  • Horses / immunology
  • Least-Squares Analysis
  • Serologic Tests

Conflict of Interest Statement

The authors declare no competing interests.

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Citations

This article has been cited 8 times.
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