Bovine tuberculosis (bTB) is an important animal and zoonotic disease, which causes severe economic losses. The main focus of this study was to assess the predictive power of previously identified biomarkers of bTB in infected animals that were negative to the tuberculin skin test (TST). We studied 16 animals with bTB, in which the disease was confirmed by necropsy, and 16 healthy animals. The level of expression of ten biomarkers (CXCL9, THBS1, MMP9, IL-22, CXCL10, IFNγ, IL-17, FYVE, CD14, IL-1R) was evaluated by RT-qPCR upon stimulation or not of peripheral blood mononuclear cells with PPDb (purified protein derivative of bovine tuberculin). In this assay, CXCL9, THBS1, MMP9, IL-22 and IFNγ changed their expression level depending on the bTB status. In addition, we evaluated different biomarker candidates simultaneously to infer the animal condition. By performing an analysis with classification trees, we found that the sturdiest combination was IL-22, IFNγ and IL-1R. On the other hand, CXCL10, IFNγ and IL-22's expression distinguished between bTB positive animals that were negative to TST (TST false negative animals) and the bTB negative groups. Thus, these biomarkers are promising candidates to be tested as an ancillary diagnostic assay. In addition, the expression of CXCL10 and IL-22 exhibited also significant differences between the bTB positive animals that were undetectable by IFNγ release assay (IGRA) and TST tests (TST and IGRA false negative animals) and the bTB negative groups. Therefore, CXCL10 and IL-22 constitute candidate biomarkers that could complement the two most widely used diagnostic tests.
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http://dx.doi.org/10.1016/j.rvsc.2018.10.016 | DOI Listing |
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