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Mazwi KD, Kolo FB, Jaja IF, Bokaba RP, Ngoshe YB, Hassim A, Neves L, van Heerden H. Serological Evidence and Coexposure of Selected Infections among Livestock Slaughtered at Eastern Cape Abattoirs in South Africa. Int J Microbiol 2023; 2023:8906971. [PMID: 38077996 PMCID: PMC10708957 DOI: 10.1155/2023/8906971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/11/2023] [Accepted: 11/14/2023] [Indexed: 05/08/2024] Open
Abstract
Zoonotic infections were investigated in a cross-sectional study on asymptomatic livestock slaughtered in abattoirs in the Eastern Cape. Antibodies against Brucella spp., Coxiella burnetii, Toxoplasma gondii, and the coexposure were investigated in sera using serological tests. A total of 565 animals comprising of 280 cattle, 200 sheep, and 85 pigs were screened using RBT, iELISA, CFT, and AMOS-PCR. The Mast® Toxoreagent test and iELISA were used for the detection of T. gondii and C. burnetii, respectively. The Brucella positivity based on at least two tests was 4.3% (12/280), 1.0% (2/200), and 0.0% (0/85) in cattle, sheep, and pigs, respectively. Toxoplasma gondii seropositivity of 37.90% (106/280), 1.50% (3/200), and 7.10% (6/85) was observed in cattle, sheep, and pigs, respectively. Coxiella burnetii seropositivity of 26.40% (74/280), 15.00% (30/200), and 2.40% (2/85) was observed in cattle, sheep, and pigs, respectively. Coexposure was detected in cattle for positivity against C. burnetii and T. gondii 40.54%, Brucella spp. and T. gondii 1.35%, and Brucella spp. and C. burnetii 4.05%. Coexposure for Brucella spp., C. burnetii, and T. gondii 4.05% was detected in cattle. Coexposure of Brucella spp. and C. burnetii 6.67% was detected in sheep. The AMOS-PCR identified B. abortus in cattle and a mixed infection of B. abortus and B. melitensis in sheep in 64.71% seropositive samples. To our knowledge, the coexposure of Brucella spp., T. gondii, and C. burnetii in cattle has not been reported. Coexposure of Brucella spp. and C. burnetii in cattle and sheep is significant as it results in reproductive losses and constitutes an infectious risk to humans. The detection of antibodies against multiple zoonotic infections in livestock from abattoirs has implications for public health.
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Affiliation(s)
- K. D. Mazwi
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Pretoria, South Africa
| | - F. B. Kolo
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Pretoria, South Africa
| | - I. F. Jaja
- Department of Livestock and Pasture Science, Faculty of Science and Agriculture, University of Fort Hare, Alice, South Africa
- Department of Agriculture and Animal Health, University of South Africa, Roodepoort, Johannesburg, South Africa
| | - R. P. Bokaba
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Pretoria, South Africa
| | - Y. B. Ngoshe
- Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Pretoria, South Africa
| | - A. Hassim
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Pretoria, South Africa
| | - L. Neves
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Pretoria, South Africa
- Centro de Biotecnologia, Universidade Eduardo Mondlane, Maputo, Mozambique
| | - H. van Heerden
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, Pretoria, South Africa
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Sarkar S, Haider N, Islam A, Hossain MB, Hossain K, Mafij Uddin MK, Rahman A, Ahmed SSU, Banu S, Rahim Z, Heffelfinger JD, Zeidner N. Occurrence of tuberculosis among people exposed to cattle in Bangladesh. Vet Med Sci 2023. [PMID: 37327465 DOI: 10.1002/vms3.1178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 05/09/2023] [Accepted: 05/25/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Tuberculosis (TB) has been an important public health concern in Bangladesh. The most common cause of human TB is Mycobacterium tuberculosis, while bovine TB is caused by Mycobacterium bovis. OBJECTIVE The objective of this study was to determine the frequency of TB in individuals with occupational exposure to cattle and to detect Mycobacterium bovis among cattle in slaughterhouses in Bangladesh. METHODS Between August and September 2015, an observational study was conducted in two government chest disease hospitals, one cattle market, and two slaughterhouses. Sputum samples were collected from individuals who met the criteria for suspected TB and had been exposed to cattle. Tissue samples were collected from cattle that had low body condition score(s). Both humans and cattle samples were screened for acid-fast bacilli (AFB) by Ziehl-Neelsen (Z-N) staining and cultured for Mycobacterium tuberculosis complex (MTC). Region of difference (RD) 9-based polymerase chain reaction (PCR) was also performed to identify Mycobacterium spp. We also conducted Spoligotyping to identify the specific strain of Mycobacterium spp. RESULTS Sputum was collected from a total of 412 humans. The median age of human participants was 35 (IQR: 25-50) years. Twenty-five (6%) human sputum specimens were positive for AFB, and 44 (11%) were positive for MTC by subsequent culture. All (N = 44) culture-positive isolates were confirmed as Mycobacterium tuberculosis by RD9 PCR. Besides, 10% of cattle workers were infected with Mycobacterium tuberculosis in the cattle market. Of all TB (caused by Mycobacterium tuberculosis) infected individuals, 6.8% of individuals were resistant to one or two anti-TB drugs. The majority of the sampled cattle (67%) were indigenous breeds. No Mycobacterium bovis was detected in cattle. CONCLUSIONS We did not detect any TB cases caused by Mycobacterium bovis in humans during the study. However, we detected TB cases caused by Mycobacterium tuberculosis in all humans, including cattle market workers.
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Affiliation(s)
- Shamim Sarkar
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Najmul Haider
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
- School of Life Sciences, Keele University, Keele, Staffordshire, UK
| | - Ariful Islam
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Muhammad Belal Hossain
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Kamal Hossain
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Mohammad Khaja Mafij Uddin
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Arfatur Rahman
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Syed Sayeem Uddin Ahmed
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Sayera Banu
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - Zeaur Rahim
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
| | - James D Heffelfinger
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
- Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Nord Zeidner
- Programme on Emerging Infections, Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh
- School of Life Sciences, Keele University, Keele, Staffordshire, UK
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Ramanujam H, Palaniyandi K. Bovine tuberculosis in India: The need for One Health approach and the way forward. One Health 2023; 16:100495. [PMID: 36817978 PMCID: PMC9932178 DOI: 10.1016/j.onehlt.2023.100495] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 01/27/2023] [Accepted: 01/29/2023] [Indexed: 01/31/2023] Open
Abstract
Bovine tuberculosis (bTB) is a chronic granulomatous infectious illness in cattle. The etiological agent of bTB is Mycobacterium bovis. However, other members belonging to the Mycobacterium tuberculosis complex, like M. tuberculosis, M. africanum, M. caprae, M. orygis, and M. microti are known to cause bTB in cattle. There are 303.76 million bovines in India, and it is the largest producer of milk and the second largest producer of meat worldwide. The prevalence of bTB among farm and dairy cattle in India is estimated to be around 7.3%, which makes it a country with one of the largest infected herds in the world. While bTB control programs have had considerable success in reducing the prevalence of the disease in many developed countries, they have yet to be formulated or implemented in India. Bovine TB also has a zoonotic and reverse component, which means that the disease can spread from cattle to human and from human to cattle. In a country like India, which contributes to nearly one-fourth of the global TB burden, the zoonotic aspect must be addressed so that the disease can be curbed. While cattle are the primary reservoir host to bTB, animals like goats, deer, bison, pigs, dogs, badgers, possums, and primates are also susceptible to the disease. This review talks about the burden of bTB in India and the necessity of One Health approach to combat the disease.
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Affiliation(s)
- Harini Ramanujam
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis, Chetpet, Chennai, India
| | - Kannan Palaniyandi
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis, Chetpet, Chennai, India
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Milián-Suazo F, González-Ruiz S, Contreras-Magallanes YG, Sosa-Gallegos SL, Bárcenas-Reyes I, Cantó-Alarcón GJ, Rodríguez-Hernández E. Vaccination Strategies in a Potential Use of the Vaccine against Bovine Tuberculosis in Infected Herds. Animals (Basel) 2022; 12:ani12233377. [PMID: 36496897 PMCID: PMC9735741 DOI: 10.3390/ani12233377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/11/2022] [Accepted: 11/29/2022] [Indexed: 12/04/2022] Open
Abstract
Bovine tuberculosis (bTB) is a disease of cattle that represents a risk to public health and causes severe economic losses to the livestock industry. Recently, one of the strategies recommended for reducing the prevalence of the disease in animals is the use of the BCG vaccine, alone or in combination with proteins. It has been shown that the vaccine elicits a strong immune response, downsizes the number of animals with visible lesions, and reduces the rate of infection as well as the bacillary count. This paper, based on scientific evidence, makes suggestions about some practical vaccination alternatives that can be used in infected herds to reduce bTB prevalence, considering BCG strains, vaccine doses, routes of application, and age of the animals. Our conclusion is that vaccination is a promising alternative to be included in current control programs in underdeveloped countries to reduce the disease burden.
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Affiliation(s)
- Feliciano Milián-Suazo
- Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Santiago de Querétaro 76010, Mexico
| | - Sara González-Ruiz
- Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Santiago de Querétaro 76010, Mexico
- Correspondence:
| | | | | | - Isabel Bárcenas-Reyes
- Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Santiago de Querétaro 76010, Mexico
| | | | - Elba Rodríguez-Hernández
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Ajuchitlán 76280, Mexico
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Gonçalves S, Cardoso MF, Vieira-Pinto M, Gomes-Neves E. Bovine Tuberculosis - Analysis of 10-year cases and impact of visual inspection in the surveillance at the slaughterhouse in Portugal. One Health 2022; 15:100451. [DOI: 10.1016/j.onehlt.2022.100451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
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Welby S, Cargnel M, Saegerman C. Quantitative decision making in animal health surveillance: Bovine Tuberculosis Surveillance in Belgium as case study. Transbound Emerg Dis 2021; 69:e119-e129. [PMID: 34331517 DOI: 10.1111/tbed.14269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 07/29/2021] [Indexed: 11/30/2022]
Abstract
Despite eradication and control measures applied across Europe, bovine tuberculosis (bTB) remains a constant threat. In Belgium, after several years of official bTB-free status, routine movement testing, as currently practiced, revealed itself inadequate to detect some herds affected by sporadic breakdowns. The aim of this study was to assess different surveillance system components that strike a balance between cost and effectiveness and to identify sustainable alternatives, which substantiate a bTB-free claim while ensuring early detection and acceptance by various animal health stakeholders. For this pupose, a stochastic iteration model was used to simulate the current surveillance system's expected performance in terms of detection sensitivity and specificity. These results were then descriptively compared with observed field results. Second, the cost and effectiveness of simulated alternative surveillance components were quantified. Sensitivity analyses were performed to measure key assumptions' impacts (i.e. regarding diagnostic tests and true prevalence). The results confirmed discrepancies between the observed and simulated expected performance of bTB surveillance in Belgium. Second, simulated alternatives showed that interferon gamma (IFN-γ) and serological testing with antibody-enzyme linked immunosorbent assay (Ab-ELISA) targeting at-risk herds would enable an increase in the overall cost effectiveness (sensitivity and specificity) of the Belgian bTB surveillance system. Sensitivity analyses showed that results remained constant despite the modification of some key assumptions. While the performance of the ongoing bTB surveillance system in Belgium was questionable at the time of the study, this exercise highlighted that not only sensitivity but specificity also are key drivers of surveillance performance. The quantitative approach, taking into consideration various stakeholders' needs and priorities, revealed itself to be a useful tool in allowing evidence-based decision making for future tuberculosis surveillance in Belgium, in line with the international standards.
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Affiliation(s)
- Sarah Welby
- Sciensano, Epidemiology and Public Health Directorate, Veterinary Epidemiology Service, Brussels, Belgium
| | - Mickaël Cargnel
- Sciensano, Epidemiology and Public Health Directorate, Veterinary Epidemiology Service, Brussels, Belgium
| | - Claude Saegerman
- Faculty of Veterinary Medicine, Fundamental and Applied Research for Animal and Health (FARAH) Centre, Research Unit of Epidemiology & Risk Analysis Applied to Veterinary Sciences, Liège University, Liège, Belgium
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Ramanujam H, Thiruvengadam K, Singaraj R, Palaniyandi K. Role of abattoir monitoring in determining the prevalence of bovine tuberculosis: A systematic review and meta-analysis. Transbound Emerg Dis 2021; 69:958-973. [PMID: 33891372 DOI: 10.1111/tbed.14118] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 04/12/2021] [Accepted: 04/17/2021] [Indexed: 12/13/2022]
Abstract
Bovine tuberculosis (bTB) is one of the major zoonotic concerns of the world, as milk and meat from cattle are major products for human consumption. Bovine tuberculosis not only affects the health of cattle and poses an imminent zoonotic threat, but also causes significant economic loss in both developed and developing countries. This systematic review reports the prevalence of Mycobacterium tuberculosis complex (MTBC) organisms in slaughtered cattle showing tuberculosis-like lesion (TBL) with available literature worldwide. Appropriate keywords were used to search various databases to collect articles pertaining to slaughterhouse studies. Bovine TB prevalence, based on the prevalence of MTBC organisms in slaughtered cattle showing TBL by culture, microscopy, PCR and spoligotyping, was assessed in each study using a random-effects model and standardized mean with 95% confidence interval (CI). Heterogeneity was assessed by the I2 statistic. Publication bias was evaluated using funnel plots. Out of 72 hits, 37 studies were selected based on title and abstract. Ten articles were excluded due to lack of desired data, and 27 studies were included in the final analysis. From the selected articles, it was found that 426 [95% CI: 302-560] per 1,000 slaughtered cattle with TBL were positive for the presence of MTBC organisms. The sensitivity analysis showed that no individual study alone influenced the estimation of pooled prevalence. The prevalence of MTBC organisms in slaughtered cattle showing TBL by culture, microscopy, PCR and spoligotyping was 474[95% CI: 342-610], 385 [95% CI: 269-515], 218 [95% CI: 132-338], 326 [95% CI: 229-442], respectively, per 1,000 slaughtered cattle. Most of the slaughtered cattle were from the same locality as the slaughterhouse. The results obtained in this study suggest that abattoir monitoring can give an estimate of the prevalence of bTB in that locality. This study also emphasizes the need to test cattle and animal handlers who were in contact with bTB-positive cattle.
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Affiliation(s)
- Harini Ramanujam
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis, Chennai, India
| | - Kannan Thiruvengadam
- Department of Statistics, ICMR-National Institute for Research in Tuberculosis, Chennai, India
| | - Ranjani Singaraj
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis, Chennai, India
| | - Kannan Palaniyandi
- Department of Immunology, ICMR-National Institute for Research in Tuberculosis, Chennai, India
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Byrne AW, Barrett D, Breslin P, Madden JM, O'Keeffe J, Ryan E. Post-mortem surveillance of bovine tuberculosis in Ireland: herd-level variation in the probability of herds disclosed with lesions at routine slaughter to have skin test reactors at follow-up test. Vet Res Commun 2020; 44:131-136. [PMID: 32583301 PMCID: PMC7312117 DOI: 10.1007/s11259-020-09777-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 06/17/2020] [Indexed: 01/25/2023]
Abstract
Post-mortem surveillance in Ireland discloses skin-test negative cattle with presumptive evidence of infection of Mycobacterium bovis (lesions at routine slaughter (LRS)), the causative agent of bovine tuberculosis (bTB). Laboratory confirmation of lesions has impacts on trade restrictions for herds, therefore if laboratory capacity was diminished, how herds are treated would require an informed risk policy. Here we report the proportion of herds with subsequent evidence of within-herd transmission, based on skin-test results. We assess how herd-size, herd-type, and bTB-history affect the probability of additional reactors at follow-up test using univariable and multivariable random-effects models. The study represents a rapid response to developing an evidential base for policy demands during an extraordinary event, the COVID-19 epidemic in Ireland. A dataset from 2005 to 2019 of breakdowns were collated. Overall, 20,116 breakdowns were initiated by LRS cases. During the index tests of these breakdowns, 3931 revealed ≥1 skin-test reactor animals (19.54%; ≥1 standard reactors: 3827; 19.02%). Increasing herd-size was associated with reactor disclosure on follow-up. For small herds (<33 animals), 11.74% of follow-up tests disclosed ≥1 reactor; 24.63% of follow-up tests from very large herds (>137) disclosed ≥1 reactors. Beef (13.87%) and “other” (13%) herd production types had lower proportion of index tests with reactors in comparison with dairy (28.27%) or suckler (20.48%) herds. Historic breakdown size during the previous 3-years was associated reactor disclosure risk on follow-up. Our results are useful for rapid tailored policy development aimed at identifying higher risk herds.
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Affiliation(s)
- Andrew W Byrne
- One-Health Scientific Support Unit, SAT Division, Department of Agriculture, Food and the Marine, Agriculture House, Dublin 2, Ireland.
| | - Damien Barrett
- One-Health Scientific Support Unit, SAT Division, Department of Agriculture, Food and the Marine, Agriculture House, Dublin 2, Ireland
| | - Philip Breslin
- Ruminant Animal Health Division, Department of Agriculture, Food and the Marine, Backweston, Co. Dublin, Ireland
| | - Jamie M Madden
- Centre for Veterinary Epidemiology and Risk Analysis (CVERA), School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland
| | - James O'Keeffe
- Ruminant Animal Health Division, Department of Agriculture, Food and the Marine, Backweston, Co. Dublin, Ireland
| | - Eoin Ryan
- Ruminant Animal Health Division, Department of Agriculture, Food and the Marine, Backweston, Co. Dublin, Ireland
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Refaya AK, Bhargavi G, Mathew NC, Rajendran A, Krishnamoorthy R, Swaminathan S, Palaniyandi K. A review on bovine tuberculosis in India. Tuberculosis (Edinb) 2020; 122:101923. [DOI: 10.1016/j.tube.2020.101923] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/12/2020] [Accepted: 03/20/2020] [Indexed: 01/03/2023]
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10
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Analysis of Bovine Tuberculosis Transmission in Jalisco, Mexico through Whole-genome Sequencing. J Vet Res 2020; 64:51-61. [PMID: 32258800 PMCID: PMC7105993 DOI: 10.2478/jvetres-2020-0010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 02/03/2020] [Indexed: 02/08/2023] Open
Abstract
Introduction Bovine tuberculosis, caused by M. bovis, is endemic in Mexico and has had a big impact on public health. Jalisco is considered to be an important dairy region in the country, accounting for approximately 19% of the total milk production. Within Jalisco, the region of Altos Sur holds the largest proportion of the cattle inventory of the state. Material and Methods To determine the frequency of bovine tuberculosis in Altos Sur, Jalisco, as well as M. bovis genetic diversity, sampling of tissue (lymph nodes, lungs, and liver) from Holstein cattle was performed in four abattoirs belonging to three municipalities of this region (Tepatitlán de Morelos, San Miguel el Alto, and Arandas). Spoligotyping and whole-genome sequencing were carried out to assess the genetic relationships of M. bovis strains circulating in this area, as well as a comparison to isolates from other places in Mexico. Results Prevalence was 15.06%, and distribution similar among the three municipalities. The most frequent spoligotypes were SB0673, SB121, and SB0145. Whole-genome sequencing revealed three main clades (I, II, III), but isolates did not show clustering by region. Conclusion Phylogenetic analysis suggested ongoing transmission between herds of the different regions, and no unique source of infection was determined. This hinders efforts under the national program for the control and eradication of the disease, so serious attention must be paid to rural regions such as Altos Sur in order to improve its success.
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Palmer MV, Thacker TC, Rabideau MM, Jones GJ, Kanipe C, Vordermeier HM, Ray Waters W. Biomarkers of cell-mediated immunity to bovine tuberculosis. Vet Immunol Immunopathol 2019; 220:109988. [PMID: 31846797 DOI: 10.1016/j.vetimm.2019.109988] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 11/15/2019] [Accepted: 11/28/2019] [Indexed: 10/25/2022]
Abstract
Whole blood based assays, particularly interferon gamma (IFN-γ) release assays (IGRAs), are used for the diagnosis of both bovine and human tuberculosis (TB). The aim of the current study was to evaluate a panel of cytokines and chemokines for potential use as diagnostic readouts indicative of Mycobacterium bovis (M. bovis) infection in cattle. A gene expression assay was used to determine the kinetics of the response to M. bovis purified protein derivative and a fusion protein consisting of ESAT-6, CFP10, and Rv3615c upon aerosol infection with ∼104 cfu of M. bovis. The panel of biomarkers included: IFN-γ, CXCL9, CXCL10, CCL2, CCL3, TNF-α, IL-1α, IL-1β, IL-1Ra, IL-22, IL-21 and IL-13. Protein levels of IFN-γ, CXCL9, and CXCL10 were determined by ELISA. Findings suggest that CXCL9, CXCL10, IL-21, IL-13, and several acute phase cytokines may be worth pursuing as diagnostic biomarkers of M. bovis infection in cattle.
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Affiliation(s)
- Mitchell V Palmer
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture (USDA), Ames, Iowa, USA.
| | - Tyler C Thacker
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture (USDA), Ames, Iowa, USA
| | - Meaghan M Rabideau
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture (USDA), Ames, Iowa, USA
| | - Gareth J Jones
- TB Immunology and Vaccinology, Department of Bacteriology, Animal and Plant Health Agency, New Haw, Addlestone, Surry UK
| | - Carly Kanipe
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture (USDA), Ames, Iowa, USA; Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, Iowa, USA
| | - H Martin Vordermeier
- TB Immunology and Vaccinology, Department of Bacteriology, Animal and Plant Health Agency, New Haw, Addlestone, Surry UK
| | - W Ray Waters
- National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture (USDA), Ames, Iowa, USA
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Amirpour Haredasht S, Vidal G, Edmondson A, Moore D, Silva-Del-Río N, Martínez-López B. Characterization of the Temporal Trends in the Rate of Cattle Carcass Condemnations in the US and Dynamic Modeling of the Condemnation Reasons in California With a Seasonal Component. Front Vet Sci 2018; 5:87. [PMID: 29971240 PMCID: PMC6018506 DOI: 10.3389/fvets.2018.00087] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 04/05/2018] [Indexed: 11/13/2022] Open
Abstract
Based on the 2016 National Cattlemen's Beef Association statistics, the cattle inventory in the US reached 93.5 million head, from which 30.5 million were commercial slaughter in 2016. California ranked fourth among all the US states that raise cattle and calves, with 5.15 million head and approximately 1.18 million slaughtered animals per year. Approximately 0.5% of cattle carcasses in the US are condemned each year, which has an important economic impact on cattle producers.In this study, we first described and compared the temporal trends of cattle carcass condemnations in all the US states from Jan-2005 to Dec-2014. Then, we focused on the condemnation reasons with a seasonal component in California and used dynamic harmonic regression (DHR) models both to model (from Jan-2005 to Dec-2011) and predict (from Jan-2012 to Dec-2014) the carcass condemnations rate in different time horizons (3 to 12 months).Data consisted of daily reports of 35 condemnation reasons per cattle type reported in 684 federally inspected slaughterhouses in the US from Jan-2005 to Dec-2014 and the monthly slaughtered animals per cattle type per states. Almost 1.5 million carcasses were condemned in the US during the 10 year study period (Jan 2005-Dec 2014), and around 40% were associated with three condemnation reasons: malignant lymphoma, septicemia and pneumonia. In California, emaciation, eosinophilic myositis and malignant lymphoma were the only condemnation reasons presenting seasonality and, therefore, the only ones selected to be modeled using DHRs. The DHR models for Jan-2005 to Dec-2011 were able to correctly model the dynamics of the emaciation, malignant lymphoma and eosinophilic myositis condemnation rates with coefficient of determination (Rt2) of 0.98, 0.87 and 0.78, respectively. The DHR models for Jan-2012 to Dec-2014 were able to predict the rate of condemned carcasses 3 month ahead of time with mean relative prediction error of 33, 11, and 38%, respectively. The systematic analysis of carcass condemnations and slaughter data in a more real-time fashion could be used to identify changes in carcass condemnation trends and more timely support the implementation of prevention and mitigation strategies that reduce the number of carcass condemnations in the US.
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Affiliation(s)
- Sara Amirpour Haredasht
- Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Gema Vidal
- Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Anita Edmondson
- Animal Health Branch, California Department of Food and Agriculture (CDFA), Sacramento, CA, United States
| | - Dale Moore
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States
| | - Noelia Silva-Del-Río
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, United States
| | - Beatriz Martínez-López
- Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
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13
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Model-guided suggestions for targeted surveillance based on cattle shipments in the U.S. Prev Vet Med 2017; 150:52-59. [PMID: 29406084 DOI: 10.1016/j.prevetmed.2017.12.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 11/14/2017] [Accepted: 12/03/2017] [Indexed: 11/20/2022]
Abstract
Risk-based sampling is an essential component of livestock health surveillance because it targets resources towards sub-populations with a higher risk of infection. Risk-based surveillance in U.S. livestock is limited because the locations of high-risk herds are often unknown and data to identify high-risk herds based on shipments are often unavailable. In this study, we use a novel, data-driven network model for the shipments of cattle in the U.S. (the U.S. Animal Movement Model, USAMM) to provide surveillance suggestions for cattle imported into the U.S. from Mexico. We describe the volume and locations where cattle are imported and analyze their predicted shipment patterns to identify counties that are most likely to receive shipments of imported cattle. Our results suggest that most imported cattle are sent to relatively few counties. Surveillance at 10 counties is predicted to sample 22-34% of imported cattle while surveillance at 50 counties is predicted to sample 43%-61% of imported cattle. These findings are based on the assumption that USAMM accurately describes the shipments of imported cattle because their shipments are not tracked separately from the remainder of the U.S. herd. However, we analyze two additional datasets - Interstate Certificates of Veterinary Inspection and brand inspection data - to ensure that the characteristics of potential post-import shipments do not change on an annual scale and are not dependent on the dataset informing our analyses. Overall, these results highlight the utility of USAMM to inform targeted surveillance strategies when complete shipment information is unavailable.
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14
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Amato B, Di Marco Lo Presti V, Gerace E, Capucchio MT, Vitale M, Zanghì P, Pacciarini ML, Marianelli C, Boniotti MB. Molecular epidemiology of Mycobacterium tuberculosis complex strains isolated from livestock and wild animals in Italy suggests the need for a different eradication strategy for bovine tuberculosis. Transbound Emerg Dis 2017; 65:e416-e424. [PMID: 29205877 DOI: 10.1111/tbed.12776] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Indexed: 11/29/2022]
Abstract
Bovine tuberculosis (bTB) is an important zoonosis, which has been re-emerging in different ecological scenarios. In Sicily, Italy, from 2004 to 2014, an anatomopathological survey for tuberculosis-like lesions both in farmed and wild animals was performed. The isolates were genotyped using spoligotyping and Mycobacterial Interspersed Repetitive Units-Variable Number of Tandem Repeats (MIRU-VNTR) techniques. High prevalence of lesions was observed for cattle (4%), pigs (4.9%) and wild boars (6.8%), and a total of 625 Mycobacterium bovis isolates were identified. Genotyping analysis showed the presence of 37 different spoligotypes including fifteen spoligotypes not present in other Italian regions and 266 MIRU-VNTR profiles. Spoligotype SB0120 exhibited the highest prevalence in cattle (50%) and pigs (56%) and the highest genetic variety with 126 different MIRU-VNTR profiles. The isolation of M. bovis in a farmer underlines the importance of M. bovis identification during the human TB diagnostic processes. This study supported the use of the genotyping analysis as a valuable tool for the evaluation of the epidemiological role of pigs and other domestic reservoirs such as goats and the role of wildlife in the maintenance of bTB infection.
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Affiliation(s)
- B Amato
- Istituto Zooprofilattico Sperimentale della Sicilia, Barcellona Pozzo di Gotto, Italy
| | - V Di Marco Lo Presti
- Istituto Zooprofilattico Sperimentale della Sicilia, Barcellona Pozzo di Gotto, Italy
| | - E Gerace
- Istituto Zooprofilattico Sperimentale della Sicilia, Barcellona Pozzo di Gotto, Italy
| | | | - M Vitale
- Istituto Zooprofilattico Sperimentale della Sicilia, Barcellona Pozzo di Gotto, Italy
| | - P Zanghì
- Istituto Zooprofilattico Sperimentale della Sicilia, Barcellona Pozzo di Gotto, Italy
| | - M L Pacciarini
- National Reference Centre for Bovine Tuberculosis, Brescia, Italy
| | | | - M B Boniotti
- National Reference Centre for Bovine Tuberculosis, Brescia, Italy
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15
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Vidal E, Tolosa E, Espinar S, de Val BP, Nofrarías M, Alba A, Allepuz A, Grau-Roma L, López-Soria S, Martínez J, Abarca ML, Castellà J, Manteca X, Casanova MI, Isidoro-Ayza M, Galindo-Cardiel I, Soto S, Dolz R, Majó N, Ramis A, Segalés J, Mas L, Chacón C, Picart L, Marco A, Domingo M. Six-Year Follow-up of Slaughterhouse Surveillance (2008-2013): The Catalan Slaughterhouse Support Network (SESC). Vet Pathol 2015; 53:532-44. [PMID: 26169387 DOI: 10.1177/0300985815593125] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Meat inspection has the ultimate objective of declaring the meat and offal obtained from carcasses of slaughtered animals fit or unfit for human consumption. This safeguards the health of consumers by ensuring that the food coming from these establishments poses no risk to public health. Concomitantly, it contributes to animal disease surveillance. The Catalan Public Health Protection Agency (Generalitat de Catalunya) identified the need to provide its meat inspectors with a support structure to improve diagnostic capacity: the Slaughterhouse Support Network (SESC). The main goal of the SESC was to offer continuing education to meat inspectors to improve the diagnostic capacity for lesions observed in slaughterhouses. With this aim, a web-based application was designed that allowed meat inspectors to submit their inquiries, images of the lesions, and samples for laboratory analysis. This commentary reviews the cases from the first 6 years of SESC operation (2008-2013). The program not only provides continuing education to inspectors but also contributes to the collection of useful information on animal health and welfare. Therefore, SESC complements animal disease surveillance programs, such as those for tuberculosis, bovine cysticercosis, and porcine trichinellosis, and is a powerful tool for early detection of emerging animal diseases and zoonoses.
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Affiliation(s)
- E Vidal
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - E Tolosa
- Agència de Salut Pública de Catalunya, Departament de Salut, Generalitat de Catalunya, Catalonia, Spain
| | - S Espinar
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - B Pérez de Val
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - M Nofrarías
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - A Alba
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - A Allepuz
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - L Grau-Roma
- School of Veterinary Medicine and Science, Sutton Bonington Campus, University of Nottingham, Loughborough, UK
| | - S López-Soria
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - J Martínez
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - M L Abarca
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - J Castellà
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - X Manteca
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - M I Casanova
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - M Isidoro-Ayza
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - I Galindo-Cardiel
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - S Soto
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - R Dolz
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain
| | - N Majó
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - A Ramis
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - J Segalés
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - L Mas
- Agència de Salut Pública de Catalunya, Departament de Salut, Generalitat de Catalunya, Catalonia, Spain
| | - C Chacón
- Agència de Salut Pública de Catalunya, Departament de Salut, Generalitat de Catalunya, Catalonia, Spain
| | - L Picart
- Agència de Salut Pública de Catalunya, Departament de Salut, Generalitat de Catalunya, Catalonia, Spain
| | - A Marco
- Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - M Domingo
- IRTA, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, 08193 Bellaterra, Catalonia, Spain Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
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