Biomarkers for detecting resilience against mycobacterial disease in animals

Wright, K; Plain, K; Purdie, A; Saunders, BM; De Silva, K

Biomarkers for detecting resilience against mycobacterial disease in animals

Wright, K Plain, K Purdie, A Saunders, BM

De Silva, K

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Publication Type:: Journal Article
Citation:: Infection and Immunity, 2020, 88 (1)
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Wright, K	en_US
dc.contributor.author	Plain, K	en_US
dc.contributor.author	Purdie, A	en_US
dc.contributor.author	Saunders, BM https://orcid.org/0000-0003-0540-4445	en_US
dc.contributor.author	De Silva, K	en_US
dc.date.available	2020-05-25T19:07:59Z
dc.date.issued	2020-01-01	en_US
dc.identifier.citation	Infection and Immunity, 2020, 88 (1)	en_US
dc.identifier.issn	0019-9567	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136260
dc.description.abstract	Copyright © 2019 American Society for Microbiology. All Rights Reserved. Paratuberculosis and bovine tuberculosis are two mycobacterial diseases of ruminants which have a considerable impact on livestock health, welfare, and production. These are chronic "iceberg" diseases which take years to manifest and in which many subclinical cases remain undetected. Suggested biomarkers to detect infected or diseased animals are numerous and include cytokines, peptides, and expression of specific genes; however, these do not provide a strong correlation to disease. Despite these advances, disease detection still relies heavily on dated methods such as detection of pathogen shedding, skin tests, or serology. Here we review the evidence for suitable biomarkers and their mechanisms of action, with a focus on identifying animals that are resilient to disease. A better understanding of these factors will help establish new strategies to control the spread of these diseases.	en_US
dc.relation.ispartof	Infection and Immunity	en_US
dc.relation.isbasedon	10.1128/IAI.00401-19	en_US
dc.subject.classification	Microbiology	en_US
dc.subject.mesh	Animals	en_US
dc.subject.mesh	Ruminants	en_US
dc.subject.mesh	Mycobacterium Infections	en_US
dc.subject.mesh	Immunologic Factors	en_US
dc.subject.mesh	Disease Resistance	en_US
dc.subject.mesh	Biomarkers	en_US
dc.title	Biomarkers for detecting resilience against mycobacterial disease in animals	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	88	en_US
utslib.for	0601 Biochemistry and Cell Biology	en_US
utslib.for	1102 Cardiorespiratory Medicine and Haematology	en_US
utslib.for	0701 Agriculture, Land and Farm Management	en_US
utslib.for	06 Biological Sciences	en_US
utslib.for	07 Agricultural and Veterinary Sciences	en_US
utslib.for	11 Medical and Health Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	88	en_US

Abstract:

Copyright © 2019 American Society for Microbiology. All Rights Reserved. Paratuberculosis and bovine tuberculosis are two mycobacterial diseases of ruminants which have a considerable impact on livestock health, welfare, and production. These are chronic "iceberg" diseases which take years to manifest and in which many subclinical cases remain undetected. Suggested biomarkers to detect infected or diseased animals are numerous and include cytokines, peptides, and expression of specific genes; however, these do not provide a strong correlation to disease. Despite these advances, disease detection still relies heavily on dated methods such as detection of pathogen shedding, skin tests, or serology. Here we review the evidence for suitable biomarkers and their mechanisms of action, with a focus on identifying animals that are resilient to disease. A better understanding of these factors will help establish new strategies to control the spread of these diseases.

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http://hdl.handle.net/10453/136260