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Abstract
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, [ver mas...]
dc.contributor.authorKlepp, Laura Ines
dc.contributor.authorEirin, Maria Emilia
dc.contributor.authorGarbaccio, Sergio Gabriel
dc.contributor.authorSoria, Marcelo Abel
dc.contributor.authorBigi, Fabiana
dc.contributor.authorBlanco, Federico Carlos
dc.dateinfo:eu-repo/date/embargoedEnd/2020-02-28
dc.date.accessioned2019-02-18T17:03:40Z
dc.date.available2019-02-18T17:03:40Z
dc.date.issued2019-02
dc.identifier.issn0034-5288
dc.identifier.otherhttps://doi.org/10.1016/j.rvsc.2018.10.016
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4460
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0034528818303072?via%3Dihub
dc.description.abstractBovine 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.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherElseviereng
dc.rightsinfo:eu-repo/semantics/embargoedAccesseng
dc.sourceResearch in veterinary science 122 : 7-14. (February 2019)eng
dc.subjectTuberculosises_AR
dc.subjectBovinaes_AR
dc.subjectBovinaeeng
dc.subjectMarcadores Genéticoses_AR
dc.subjectGenetic Markerseng
dc.subjectDiagnosiseng
dc.subjectDiagnósticoes_AR
dc.titleIdentification of bovine tuberculosis biomarkers to detect tuberculin skin test and IFNγ release assay false negative cattleeng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenInstituto de Biotecnologíaes_AR
dc.description.filFil: Klepp, Laura Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Eirin, Maria Emilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Garbaccio, Sergio Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentinaes_AR
dc.description.filFil: Soria, Marcelo Abel. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Biología Aplicada y Alimentos. Cátedra de Microbiología Agrícola; Argentinaes_AR
dc.description.filFil: Bigi, Fabiana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.description.filFil: Blanco, Federico Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentinaes_AR
dc.subtypecientifico


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