Molecular approaches to the diagnosis and monitoring of production diseases in pigs
Production disease in pigs is caused by a variety of different pathogens, mainly enteric and respiratory and can result in significant economic loss. Other factors such as stress, poor husbandry and nutrition can also contribute to an animal's susceptibility to disease. Molecular biomarkers of...
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Elsevier
2017
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| Online Access: | https://eprints.nottingham.ac.uk/48688/ |
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| author | Giles, Timothy A. Belkhiri, Aouatif Barrow, Paul A. Foster, Neil |
| author_facet | Giles, Timothy A. Belkhiri, Aouatif Barrow, Paul A. Foster, Neil |
| author_sort | Giles, Timothy A. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Production disease in pigs is caused by a variety of different pathogens, mainly enteric and respiratory and can result in significant economic loss. Other factors such as stress, poor husbandry and nutrition can also contribute to an animal's susceptibility to disease. Molecular biomarkers of production disease could be of immense value by improving diagnosis and risk analysis to determine best practice with an impact on increased economic output and animal welfare. In addition to the use of multiplex PCR or microarrays to detect individual or mixed pathogens during infection, these technologies can also be used to monitor the host response to infection via gene expression. The patterns of gene expression associated with cellular damage or initiation of the early immune response may indicate the type of pathology and, by extension the types of pathogen involved. Molecular methods can therefore be used to monitor both the presence of a pathogen and the host response to it during production disease. The field of biomarker discovery and implementation is expanding as technologies such as microarrays and next generation sequencing become more common. Whilst a large number of studies have been carried out in human medicine, further work is needed to identify molecular biomarkers in veterinary medicine and in particular those associated with production disease in the pig industry. The pig transcriptome is highly complex and still not fully understood. Further gene expression studies are needed to identify molecular biomarkers which may have predictive value in identifying the environmental, nutritional and other risk factors which are associated with production diseases in pigs. |
| first_indexed | 2025-11-14T20:09:59Z |
| format | Article |
| id | nottingham-48688 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:09:59Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
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| spelling | nottingham-486882020-05-04T19:55:11Z https://eprints.nottingham.ac.uk/48688/ Molecular approaches to the diagnosis and monitoring of production diseases in pigs Giles, Timothy A. Belkhiri, Aouatif Barrow, Paul A. Foster, Neil Production disease in pigs is caused by a variety of different pathogens, mainly enteric and respiratory and can result in significant economic loss. Other factors such as stress, poor husbandry and nutrition can also contribute to an animal's susceptibility to disease. Molecular biomarkers of production disease could be of immense value by improving diagnosis and risk analysis to determine best practice with an impact on increased economic output and animal welfare. In addition to the use of multiplex PCR or microarrays to detect individual or mixed pathogens during infection, these technologies can also be used to monitor the host response to infection via gene expression. The patterns of gene expression associated with cellular damage or initiation of the early immune response may indicate the type of pathology and, by extension the types of pathogen involved. Molecular methods can therefore be used to monitor both the presence of a pathogen and the host response to it during production disease. The field of biomarker discovery and implementation is expanding as technologies such as microarrays and next generation sequencing become more common. Whilst a large number of studies have been carried out in human medicine, further work is needed to identify molecular biomarkers in veterinary medicine and in particular those associated with production disease in the pig industry. The pig transcriptome is highly complex and still not fully understood. Further gene expression studies are needed to identify molecular biomarkers which may have predictive value in identifying the environmental, nutritional and other risk factors which are associated with production diseases in pigs. Elsevier 2017-10 Article PeerReviewed Giles, Timothy A., Belkhiri, Aouatif, Barrow, Paul A. and Foster, Neil (2017) Molecular approaches to the diagnosis and monitoring of production diseases in pigs. Research in Veterinary Science, 114 . pp. 266-272. ISSN 1532-2661 Biomarkers; Pigs; Production disease; Molecular diagnostics https://doi.org/10.1016/j.rvsc.2017.05.016 doi:10.1016/j.rvsc.2017.05.016 doi:10.1016/j.rvsc.2017.05.016 |
| spellingShingle | Biomarkers; Pigs; Production disease; Molecular diagnostics Giles, Timothy A. Belkhiri, Aouatif Barrow, Paul A. Foster, Neil Molecular approaches to the diagnosis and monitoring of production diseases in pigs |
| title | Molecular approaches to the diagnosis and monitoring of production diseases in pigs |
| title_full | Molecular approaches to the diagnosis and monitoring of production diseases in pigs |
| title_fullStr | Molecular approaches to the diagnosis and monitoring of production diseases in pigs |
| title_full_unstemmed | Molecular approaches to the diagnosis and monitoring of production diseases in pigs |
| title_short | Molecular approaches to the diagnosis and monitoring of production diseases in pigs |
| title_sort | molecular approaches to the diagnosis and monitoring of production diseases in pigs |
| topic | Biomarkers; Pigs; Production disease; Molecular diagnostics |
| url | https://eprints.nottingham.ac.uk/48688/ https://eprints.nottingham.ac.uk/48688/ https://eprints.nottingham.ac.uk/48688/ |