Bacteria: Mycobacterium bovis

Rodríguez‐Morales, Alfonso J.; Castañeda-Hernández, Diana M.

doi:10.1016/b978-0-08-100596-5.22640-1

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Bovine tuberculosis is caused by Mycobacterium bovis, a species that belongs to the Mycobacteriaceae family, and the Mycobacterium tuberculosis complex [1,2]. These bacteria are characterised by being acid-resistant bacilli and having walls rich in mycolic acid, which allows them to survive in various environmental conditions, including water, for extended periods [3].…”

Section: Introductionmentioning

confidence: 99%

Mapping of Bovine Tuberculosis in Colombia, 2001-2019

Bonilla-Aldana,

Jiménez-Diaz,

Losada

et al. 2024

Preprint

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Introduction: Bovine tuberculosis is a zoonotic disease of considerable impact, especially in livestock countries, which can cause human disease. Despite its importance, Colombia is a country in which few studies analyse its behaviour, and none develop maps using geographic information systems to characterise it. Objective: To describe the temporal-spatial distribution of bovine tuberculosis in Colombia between 2001 and 2019. Methods: Retrospective cross-sectional descriptive study, based on reports by the Colombian Agricultural Institute, of tuberculosis surveillance in cattle on farms in Colombia from 2001 to 2019. The data were converted into databases in Microsoft Access 365®, and multiple epidemiological maps were generated with the Kosmo RC1®3.0 software coupled to shape files of all the country's departments. Results: During the study period, 5,273 tuberculosis cases in bovines were identified in the different departments of Colombia (mean 278 cases/year). Regarding its temporal distribution, the number of cases varied from a maximum of 903 cases (17.12% of the total) in 2015 to a minimum of 0 between 2001 and 2004 and between 2017 and 2019 (between 2005 and 2016, the minimum was 46 cases, 0.87%). Conclusions: GIS is an essential tool for understanding the temporospatial behaviour of zoonotic diseases in Colombia, as is the case of bovine tuberculosis, with its potential implications for Human and One Health.

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Section: Introductionmentioning

confidence: 99%

Mapping of Bovine Tuberculosis in Colombia, 2001-2019

Bonilla-Aldana,

Jiménez-Diaz,

Losada

et al. 2024

Preprint

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“…It persists in certain regions despite control efforts, prompting ongoing research into effective prevention and management strategies [2]. Understanding its transmission dynamics is crucial for devising targeted interventions to curb its spread and minimise its consequences for animal and human populations [3,4].…”

Section: Introductionmentioning

confidence: 99%

Mapping Bovine Tuberculosis in Colombia, 2001–2019

Bonilla-Aldana,

Jiménez-Diaz,

Lozada-Riascos

et al. 2024

Veterinary Sciences

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Introduction: Bovine tuberculosis is a zoonotic disease of significant impact, particularly in countries where a pastoral economy is predominant. Despite its importance, few studies have analysed the disease’s behaviour in Colombia, and none have developed maps using geographic information systems (GIS) to characterise it; as such, we developed this study to describe the temporal–spatial distribution of bovine tuberculosis in Colombia over a period of 19 years. Methods: A retrospective cross-sectional descriptive study, based on reports by the Colombian Agricultural Institute (ICA), surveillance of tuberculosis on cattle farms in Colombia from 2001 to 2019 was carried out. The data were converted into databases using Microsoft Access 365®, and multiple epidemiological maps were generated with the QGIS® version 3.36 software coupled to shape files of all the country’s departments. Results: During the study period, 5273 bovine tuberculosis cases were identified in multiple different departments of Colombia (with a mean of 278 cases/year). Regarding its temporal distribution, the number of cases varied from a maximum of 903 cases (17.12% of the total) in 2015 to a minimum of 0 between 2001 and 2004 and between 2017 and 2019 (between 2005 and 2016, the minimum was 46 cases, 0.87%). Conclusions: GIS are essential for understanding the temporospatial behaviour of zoonotic diseases in Colombia, as is the case for bovine tuberculosis, with its potential implications for the Human and One Health approaches.

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“…Currently, conventional methods, including acid-fast bacilli (AFB) smears, solid cultures (Lowenstein–Jensen medium, L-J), biochemical tests, and immunological tests (e.g., T-SOPT TB and enzyme-linked immunosorbent assays), are mainly used in clinical examinations to detect MTBC strains ( Otu et al, 2008 ; Rodriguez-Morales and Castañeda-Hernández, 2014 ; Agrawal et al, 2016 ; Lyashchenko et al, 2020 ). In particular, the T-SPOT TB assay, which is based on the detection of MTB-specific interferon-γ-secreting T cells in peripheral blood mononuclear cells, is widely used to detect MTB infections ( Rao et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Rapid and Visual Differentiation of Mycobacterium tuberculosis From the Mycobacterium tuberculosis Complex Using Multiplex Loop-Mediated Isothermal Amplification Coupled With a Nanoparticle-Based Lateral Flow Biosensor

et al. 2021

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Tuberculosis (TB) is a chronic infectious disease mainly caused by Mycobacterium tuberculosis (MTB), but other members of the Mycobacterium tuberculosis complex (MTBC), especially Mycobacterium bovis (pyrazinamide-resistant organisms), may also be involved. Thus, the ability to rapidly detect and identify MTB from other MTBC members (e.g., M. bovis, Mycobacterium microti, Mycobacterium africanum) is essential for the prevention and treatment of TB. A novel diagnostic method for the rapid detection and differentiation of MTB, which employs multiplex loop-mediated isothermal amplification (mLAMP) combined with a nanoparticle-based lateral flow biosensor (LFB), was established (mLAMP-LFB). Two sets of specific primers that target the IS6110 and mtp40 genes were designed according to the principle of LAMP. Various pathogens were used to optimize and evaluate the mLAMP-LFB assay. The optimal conditions for mLAMP-LFB were determined to be 66°C and 40 min, and the amplicons were directly verified by observing the test lines on the biosensor. The LAMP assay limit of detection (LoD) was 125 fg per vessel for the pure genomic DNA of MTB and 4.8 × 103 CFU/ml for the sputum samples, and the analytical specificity was 100%. In addition, the whole process, including the clinical specimen processing (35 min), isothermal amplification (40 min), and result confirmation (1–2 min), could be completed in approximately 80 min. Thus, mLAMP-LFB is a rapid, reliable, and sensitive method that is able to detect representative members of MTBC and simultaneously differentiate MTB from other MTBC members, and it can be used as a potential screening tool for TB in clinical, field, and basic laboratory settings.

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Bacteria: Mycobacterium bovis

Cited by 4 publications

References 16 publications

Mapping of Bovine Tuberculosis in Colombia, 2001-2019

Mapping of Bovine Tuberculosis in Colombia, 2001-2019

Mapping Bovine Tuberculosis in Colombia, 2001–2019

Rapid and Visual Differentiation of Mycobacterium tuberculosis From the Mycobacterium tuberculosis Complex Using Multiplex Loop-Mediated Isothermal Amplification Coupled With a Nanoparticle-Based Lateral Flow Biosensor

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