Development of lateral flow assays to detect host proteins in cattle for improved diagnosis of bovine tuberculosis
Bovine tuberculosis (bTB), caused by Mycobacterium bovis ( M. bovis ) infection in cattle, is an economically devastating chronic disease for livestock worldwide. Efficient disease control measures rely on early and accurate diagnosis using the tuberculin skin test (TST) and interferon-gamma release...
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Published in: | Frontiers in veterinary science Vol. 10; p. 1193332 |
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Main Authors: | , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Frontiers Media S.A
15-08-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | Bovine tuberculosis (bTB), caused by
Mycobacterium bovis
(
M. bovis
) infection in cattle, is an economically devastating chronic disease for livestock worldwide. Efficient disease control measures rely on early and accurate diagnosis using the tuberculin skin test (TST) and interferon-gamma release assays (IGRAs), followed by culling of positive animals. Compromised performance of TST and IGRA, due to BCG vaccination or co-infections with non-tuberculous mycobacteria (NTM), urges improved diagnostics. Lateral flow assays (LFAs) utilizing luminescent upconverting reporter particles (UCP) for quantitative measurement of host biomarkers present an accurate but less equipment- and labor-demanding diagnostic test platform. UCP-LFAs have proven applications for human infectious diseases. Here, we report the development of UCP-LFAs for the detection of six bovine proteins (IFN-γ, IL-2, IL-6, CCL4, CXCL9, and CXCL10), which have been described by ELISA as potential biomarkers to discriminate
M. bovis
infected from naïve and BCG-vaccinated cattle. We show that, in line with the ELISA data, the combined PPDb-induced levels of IFN-γ, IL-2, IL-6, CCL4, and CXCL9 determined by UCP-LFAs can discriminate
M. bovis
challenged animals from naïve (AUC range: 0.87–1.00) and BCG-vaccinated animals (AUC range: 0.97–1.00) in this cohort. These initial findings can be used to develop a robust and user-friendly multi-biomarker test (MBT) for bTB diagnosis. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Natalie Parlane, AgResearch, New Zealand; Bernd Rehm, Griffith University, Australia These authors have contributed equally to this work and share first authorship Edited by: Alberto Muñoz, University of Murcia, Spain |
ISSN: | 2297-1769 2297-1769 |
DOI: | 10.3389/fvets.2023.1193332 |