Abstract
In addition to the fifty years since the test-and-slaughter program began in Iran and despite a significant reduction in the disease prevalence, positive tuberculosis cases are still being isolated from livestock farms across the country. Tests with 100% sensitivity and specificity are essential features for bovine tuberculosis diagnosis. The relationship between real-time PCR and immunohistochemistry (IHC) as two essential laboratory methods in the diagnosis of bacterial infections were aimed to evaluate single intradermal comparative tuberculin test (SICTT) results. One hundred thirty-eight cows in two groups were examined: Reactors (108 cows) and clean (as a control group; 30 cows). In the reactor group, 58(54.00%) cows were Mycobacterium bovis positive, 46(43.00%) were Mycobacterium avium subsp. paratuberculosis (MAP) positive, and 11(10.00%) were Mycobacterium tuberculosis positive. 32(55.00%) cows were co-infected with M. bovis and MAP and 5(4.55%) cows were co-infected with Mycobacterium tuberculosis and MAP in this group. Of 50 M. bovis negative cows of reactor group were 14(28.00%) MAP positive and 36(72.00%) negative, as well. Concurrent infection with all was observed in one reactor case. Comparing IHC and real-time PCR for the detection of bovine tuberculosis and Johne's disease showed very good agreement (Kappa values 0.81 -1.00). The results also provided further confirmation on IHC and real-time PCR as a sensitive and reliable diagnostic screening approach for detection of bovine tuberculosis. The use of one laboratory method to detect bovine tuberculosis is not sufficient alone.
Article Info
Article history:
Received: 02 March 2020 Accepted: 06 July 2020 Available online: 15 June 2022
Keywords:
Immunohistochemistry Mycobacterium Real-time PCR Tuberculin
Introduction
Mycobacterium tuberculosis complex (MTC) causes tuberculosis in humans and animals, one of the top 10 causes of death in the world, and millions of people continue to fall sick each year. According to the World health organization (WHO) in 2017, Globally, 10.00 million people spread the disease and it caused 1.30 million deaths (16.00%).1 The acquired immunodeficiency syndrome (AIDS) co-infection, the failure of Bacillus Calmette-Guérin (BCG) vaccine and drug-resistant are factors contributing to the complication of the situation. The MTC includes M. tuberculosis, M. bovis, M. microti, M. africanum and M. canetti. Of these species, M. tuberculosis (MT), in the first place, and then M. bovis are highly pathogenic. Due to the abundance of M. bovis hosts more varied animal species are infected and become the source of infection.2
Another significant mycobacterial disease, namely paratuberculosis or Johne's disease (JD), is a chronic and progressive granulomatous enteritis of ruminants caused by Mycobacterium avium subsp. Paratuberculosis (MAP) and a disease affecting multiple species with socio-economic and/or public health importance. It may be associated with the etiology of Crohn's disease in humans.1
Although paratuberculosis available vaccines show a reduction in disease incidence, they are unable to prevent bacterial shedding or subsequent new cases in the herd. Unfortunately, these vaccines can interfere with the results of the tuberculin test.3,4 A comparison between tuberculin test methods has shown that the use of comparative intradermal test method vs single intradermal test, decrease the percentage of cross-reaction from 6.55% to 0.15%.5 Besides, in affected animals, the incubation period is 2 to 5 years (but up to 10 years), and the subclinical form of MAP infection usually appears several years before the clinical form (diarrhea, reduced milk production, cachexia and severe emaciation) leading to death since no cure is available.6
In recent years, the tuberculin skin test was the only tool for detecting mycobacterial infections especially in latent cases of infection. The tuberculin skin test is an intradermal injection of purified protein derivative (PPD) that is a complex of several antigens including antigens shared with non-tuberculous mycobacteria. The PPD is injected below the epidermal layer that causes the inflammatory reaction (a delayed-type hypersensitivity reaction) and results in the characteristic indurated area at the injection site. The tuberculin skin test has limitations including technical problems in administration, boosting of the immune response in the test reputation, false positive and false negative results, complicated, subjective interpretation and requirement in the second visit. Other methods, such as acid-fast staining and isolation of Mycobacterium spp. in culture, have many limitations. The acid-fast staining detection limit is more than 104 bacilli per slide. Mycobacterial culture requires several weeks, and in a few bacilli, its sensitivity is low.7 In Iran, the test-and-slaughter program has been launched following the world plan since 1967.8 Unfortunately, in addition to the fifty years since the program began, and despite a significant reduction in the disease prevalence,8 still positive cases of tuberculosis are being isolated from livestock farms across the country. The success of the test-and-slaughter program for bovine tuberculosis control is directly dependent on the diagnostic ability of the laboratory tests.9 Adopting tests with 100% sensitivity and specificity, high operating speed and low cost are essential features for a bovine tuberculosis diagnosis.10 The use of real-time polymerase chain reaction (PCR) and immunohistochemistry (IHC) methods has been considered by researchers in the last decades. Direct realtime PCR has some advantages over the detection of mycobacterial species in animal tissue samples, which takes a few hours and highly analytical specificity. However, cross-reaction with unwanted microorganisms (contamination) is one of its main limitations.11 The IHC is a powerful technique for detection and scoring of cellular macromolecules along with the microscopic observation of lesions in fresh or formalin-fixed tissue samples. Especially in the formalin-fixed form, it is a safe method to study many high-risk pathogens like mycobacteria in the laboratory. Human error, damage to some epitopes because of over-fixation, and difficulty in quantifying results are the most considerable limitations of IHC.12 The relationship between real-time PCR and IHC as two essential laboratory methods in diagnosis of bacterial infections were aimed to evaluate single intradermal comparative tuberculin test (SICTT) results and to evaluate the SICTT sensitivity and specificity in Khorasan-Razavi province, Iran.
Materials and Methods
Samples. The minimum sample size (N) needed in this study was calculated using the following formula with a 95.00% confidence limit, 22.00% estimated prevalence (P), and 5.00% Tolerable error:13
N= 1.962 P (1-P) / 0.052
Thirty healthy and one hundred eight positive reactor cattle screened by SICTT for tuberculosis were included in this study. After inspection of carcasses, samples of ileum and bronchial, mediastinal and mesenteric lymph nodes were taken. After dividing the samples into two parts, the first part of the specimen was sent to the molecular laboratory of the Khorasan-Razavi Veterinary Office, ice packed. The second part was placed in 10.00% neutral buffered formalin (NBF; Sigma-Aldrich, St. Louis, USA) and sent to the above histopathological laboratory.
Preparation of tissues for histopathological examinations. After fixation in NBF, the specimens were placed in suitably labeled cassettes to segregate them from other specimens. For dehydration, series of increasing alcohol (Sigma-Aldrich) concentrations were used to avoid excessive distortion of the tissue, and then cleared with xylene (Merck, Darmstadt, Germany), and infiltrated with paraffin wax (Sigma-Aldrich). The infiltrated tissues were then embedded into wax blocks. Cutting of paraffin-embedded tissues was performed at 5.00 µm. Paraffin sections were properly mounted onto poly-L-lysine (Sigma-Aldrich) coated glass slides.
Immunohistochemistry. The tissue sections were deparaffinized and hydrated in water. One part trypsin concentrate (Abcam, Boston, USA) with one part buffer were mixed. Sections were incubated for 5 - 10 min at 37.00 °C to retrieve mycobacterium antigens. Then, they were rinsed thoroughly in Tris buffered saline (TBS; Sigma-Aldrich) and proceeded with the immunostaining procedure. The slides were washed two times for 5 min in TBS plus 0.025% Triton X-100 (Sigma-Aldrich) and then blocked in 10.00% normal serum with 1.00% BSA (Sigma-Aldrich) in TBS for 2 hr at room temperature. The slides were drained for a few seconds and wiped around the sections with tissue paper. Then, the rabbit primary antibody (anti-M. bovis, Bioss Inc., Woburn, USA /anti-MT, Abcam /anti-MAP, Daco, Glostrup, Denmark) was diluted to the manufacturer's recommendations (1/200), and the sections were incubated overnight at 4.00 °C. After two times for 5 min TBS plus 0.025% Triton X-100, the slides were incubated in 0.30% H2O2 (Sigma-Aldrich) in TBS for 15 min. After two times washing in TBS buffer, for enzymatic detection, enzyme-conjugated secondary antibody goat anti-rabbit (HRP; Abcam) was diluted in TBS with 1.00% BSA (1/200), applied to slides and incubated for 1 hr at room temperature. The samples were rinsed with in buffer TBS plus 0.025% Triton X-100, three times for 10 min, and then 3, 3-diamino-benzidine (DAB; Sigma-Aldrich) chromogen was used for 10 min at room temperature. The DAB produced a brown precipitate (where the secondary HRP antibody binds to the primary) that was insoluble in alcohol, xylene and other organic solvents most commonly used in the laboratories. The slides were rinsed in running tap water for 10 min and stained with nuclear counterstained Mayer's hematoxylin (Sigma-Aldrich) for better visualization of the tissue morphology. Dehydration, clearance, and mounting using a compatible mounting medium were carried out. Positive and negative controls were used with all samples. The analysis was performed in a blinded manner.
DNA extraction. Fifty mg of each sample were placed into 2.00 mL Eppendorf microcentrifuge 5420 tubes (Eppendorf, Hamburg, Germany) and digested by adding 200 µL of tissue lysis buffer (4.00 M Urea, 200 mM Tris, 20.00 mM NaCl, 200 mM EDTA, pH 7.40 at 25.00 °C) containing 40.00 µL proteinase K (200 µg mL-1; Roche, Indianapolis, USA). Then each tube was incubated at 55.00 °C for 72 hr. Boiling (for 10 min) and immediately freezing (at - 20.00 °C for 30 min) were performed three times. According to the manufacturer's instructions, the extraction process was carried out using a DNA extraction kit (High pure PCR template preparation kit; Roche). Eluted DNA was stored at - 80.00 °C.
Real-time PCR. Real-time PCR was carried using a LightCycler® 480 (Roche) and LightCycler® 480 DNA SYBR Green I Master Mix (Roche). The oligonucleotides INS-1 and INS-2 were used to amplify a 245-bp fragment of the IS6110 sequence present in members of the MTC, Jb21 and Jb22 were used to amplify a 500-bp fragment from the RvD1Rv2031c sequence present in members of M. bovis. P90 and P91 were used to amplify a 400-bp fragment from the IS900 sequence present in members of MAP (Table 1).10,14-16 Each reaction mixture of 20.00 µL was containing 10.00 µL of SYBR Green I Master Mix (Roche), 5.00 mM MgCl2 (Roche), 2.00 µL of each primer, 5.00 µL of the template and molecular grade water up to 20.00 µL. The amplifications were carried out with the two following cycles: An initial step of 95.00 °C for 10 min and 45 cycles of amplifications 94.00 °C for 30 Sec, 55.00 °C for 35 Sec, and 72.00 °C for 45 Sec, for MTC and M. bovis; and an initial step of 95.00 °C for 10 min, 45 cycles of amplifications 94.00 °C for 30 Sec, 56.00 °C for 35 Sec, and 72.00 °C for 45 Sec for MAP. In this study, β-actin was used as an internal control (Table 1). If samples' results were negative for a target, the simultaneous DNA process control needed to be positive to prove that there was material in the reaction and that the real-time PCR was not inhibited. Positive and negative controls were used to assess accuracy in all PCR run. Real-time PCR data were analyzed to determine whether a significant difference was existed between samples and controls and to calculate the double delta cycle threshold (Ct) analysis by Livak and Schmittgen.17
Statistical analysis. The results of the real-time PCR and IHC assay were compared to those of SICTT using agreement and kappa tests. Analyses were done using SPSS Software (version 19.0; IBM, Armonk, USA).
Results
Macroscopic examination results. Out of the 108 reactor cows, 26(24.00%) were with macroscopically visible tuberculous granulomas and 82(76.00%) without macroscopically visible lesions. Based on the results of the post-mortem carcass inspection, the percentage of involvement in different tissues included: Liver (7.00%), diaphragm (14.00%), lung (43.00%), head (22.00%), pre-scapular (7.00%), and mesenteric (7.00%) lymph nodes.
Real-time PCR results. One hundred thirty-eight cows were examined in two groups: The reactor group (108 cows) and the clean group (30 cows; base of negative response to SICTT and the absence of clinical signs and no report of macroscopic lesions in the last two years as a control group). The results are shown in Table 2. In the reactor group, 58(54.00%) cows were M. bovis positive, 46(43.00%) cows MAP positive, and 11(10.00%) MTC positive (Fig. 1). 32(55.00%) cows were co-infected with M. bovis and MAP, and 5(4.55%) cows were co-infected with MTC and MAP in this group. Out of 50 M bovis negative cows of reactor group, 14(28.00%) were MAP positive, and 36(72.00%) negative. Concurrent infection with all was observed in one reactor case. In the clean group, all samples were negative (Table 2). The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of SICTT using real-time PCR as the gold standard for detection of M bovis, MTC and MAP in tissue sections are shown in Table 37,18
The agreement between the SICTT tests for M. bovis, MTC, MAP and real-time PCR was fair (? = 0.34, 95.00% CI, 0.242 to 0.498, p < 0.0005), very good (? = 1.00, 95.00% CI, 1.158 to 0.842, p < 0.0005) and moderate (? = 0.58, 95.00% CI, 0.372 to 0.688, p < 0.0005), respectively.
Immunohistochemistry detection. Out of 108 reactor cows, 58 (54.00%) were detected asM bovis positive, 11(10.00%) MTC positive, and 46 (43.00%) MAP positive by IHC. In the clean group, 4(13.00%) MAP positive cows were detected by IHC. Out of 58 M. bovis positive (Table 2), 32(55.00%) were MAP positive and 26(45.00%) negative. In the other words, co-infection with M. bovis and MAP was detected. Out of 50 M. bovis negative, 14(28.00%) were MAP positive, and 36(72.00%) negative. Out of 11 MTC positive cows, 5(45.50%) were MAP positive and 6(54.50%) were negative. Concurrent infection with all was observed in one reactor case. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of SICTT using IHC as the gold standard are shown in Table 3. The agreement between the SICTT for M. bovis, MTC, MAP and IHC was fair (? = 0.34, 95.00% CI, 0.242 to 0.498, p < 0.0005), very good (? = 1.00, 95.00% CI, 1.158 to 0.842, p < 0.0005) and moderate (? = 0.52, 95.00% CI, 0.872 to 1.088, p < 0.0005), respectively. No false-positive signals were founded (Fig. 2).
Comparison between immunohistochemistry and real-time PCR detection. Comparison between IHC and real-time PCR for detection of M. bovis showed very good (? = 1.00, 95.00% CI, 1.135 to 0.865, p < 0.0005) agreement. Comparison between IHC and real-time PCR for detection of MT showed very good (? = 1.00, 95.00% CI, 1.005 to 0.945, p < 0.0005) agreement Comparison between IHC and real-time PCR for detection of MAP (Johne's disease) showed very good (? = 0.94, 95.00% CI, 1.085 to 0.795, p < 0.0005) agreement
D iscussion
Even though the test and slaughter programs based on SICTT and slaughter surveillance were adopted for eradication of M. bovis infection, the prevalence of infection has not substantially been diminished in several regions of Iran such as Khorasan-Razavi province. Slaughter surveillance for detection of mycobacterial infection requires infected cattle with visible macroscopic lesions, however, in many cases small lesions at early stages of infection are not visible at the abattoir among standard inspection in reactor animals.19-21 In this study, 108 positive reactors were inspected and 26(24.00%) showed macroscopically visible lesions, 82(76.00%) no macroscopic lesion, and no lesion was seen in the clean group. These results were similar to other countries like UK and Ireland that 50.00 - 80.00% of reactor animals had no visible lesions.22-26 Pal et al. showed that the probability of missing bovine tuberculosis lesions during routine slaughterhouse inspection was 95.00%.27 Earlier studies indicated these probabilities as 84.00%,28 70.00%,24 and 85.00%.29 These results also revealed a much low sensitivity of meat inspection to detect the tuberculous lesion, and it was depended on the anatomical sites and method of examination.27,30-32 Factors including early infection, examination technique, location of the lesion, latent infection, and infection with other mycobacteria are the most important reasons.33 In the present study, most lesions were in the lung (bronchial and mediastinal) lymph nodes, head and diaphragm, respectively. These results were similar to previous findings, which reported that many macroscopic visible lesions occurred in the respiratory system,20,34-37 however, differed from that reported mesenteric lymph nodes by Ameni et al.38 Generally, locations of tubercles depend on the route of infection, and transmission by ingestion is usually observed in calves and in the respiratory tract in cattle.29
Out of 108 extracted DNA of reactor cows, 58(54.00%) were positive using the species-specific primers Jb21 and Jb22. Rodríguez et al. obtained 100% concordance between culture and PCR with primers JB21/JB22.39 Meikle et al. reported that PCR was a more specific and sensitive method than culture.40 Vitale et al., Tortoli et al. and Mustafa et al. proposed that PCR was the gold standard for identifying mycobacterium species.7,41,42
In this study base on real-time PCR, 11(10.00%) reactor cows were MTC positive using primers INS1/INS2. Only 4 cases of 11 MTC positive cattle had a macroscopically visible lesion. It might be due to the transmission of MTC between farmers and cattle. In similar studies, Ameni et al. reported five out of the 16 isolates from farmers and cattle were members of the MTC.38 Romero et al. reported MT infections in three cattle farms in Spain with humans as the source.43 Ameni et al. at a preliminary study reported approximately 27.00% in grazing cattle in Ethiopia.38 Thakur et al. in a study reported four cases of MT infections in India.44 The results of this study and similar findings indicated the necessity of considering veterinary health measures in dairy farms to control bovine tuberculosis in humans.
The results of real-time PCR with primers P90/P91 showed that out of the total cows studied, 46(33.00%) were infected with MAP, which showed high contamination of Khorasan-Razavi province farms. Also, there were no macroscopic visible lesions in 28(60.00%) of these MAP positive cows that might be due to subclinical infection. Fathi et al. compared three methods i n diagnosis o f John's disease and concluded that molecular technique could be more valuable than culture.45 In another study, 90 dairy cattle were tested by Johnin test and PCR. The results showed that the PCR technique was able to identify suspected cases. Out of 108 reactor cows, 32 cases of M. bovis and MAP co-infection, four cases of MT and MAP co-infection and one case of co-infection with all three mycobacteria were observed. Our results were similar to that of Kennedy et al. They reported that co-infection with M. bovis and MAP on a single animal induced cross-reactivity with PPD and then false responses to many types of diagnostic tests were observed.46 Brahma et al. showed that M. bovis infection increased the animal susceptibility to MAP infection or vice versa, and co-infection was occurred with both agents.2 Byrne et al. highlighted the co-infection of M bovis and MAP infection as a potential factor in identifying and removing infected animals from endemic cattle farms.26 Alvarez et al. described an increase in false-negative results in SICTT.47 Amadori et al. showed when MAP was administered prior to M. bovis, animals did not react or poorly reacted to the skin test compared to M. bovis only.48 The results of these researches showed the need for comprehensive and thorough research to identify the interactive effects of mycobacterial co-infection on routine diagnostic methods of tuberculosis.
In this study, the results of IHC confirmed real-time PCR findings in the reactor group and showed very good agreement (? = 1.00, 95.00% CI, 1.135 to 0.865, p < 0.0005). In the clean group, 4(13.00%) MAP positive cows detected by IHC were negative in real-time PCR and SICTT. It might be due to the low concentration (under 8.00 pg µL-1) of DNA in samples that remained undetected by PCR or due to early infection with MAP.2 In this group, real-time PCR and IHC showed very good agreement (? = 0.94, 95.00% CI, 1.085 to 0.795, p < 0.0005). It showed the role of IHC in the diagnosis of MAP infection compared to the tuberculin test and real-time PCR. In several studies, the important role of IHC in the diagnosis of mycobacterial infections in formalin-fixed paraffin-embedded tissues was reported.49 In another study, there was 100% agreement between the real-time PCR and IHC for detection of MTC and 94.00% for detection of MAP.2 Our results were different from study of Mustafa et al. that reported an 87.00% agreement between IHC and PCR as the gold standard.7
In Iran, in 1967, the test-and-slaughter program was instituted nationally based on the SICTT using both tuberculins provided by Razi Vaccine and Serum Research Institute (RVSRI), for intensive farms as well as their surrounding traditional farms. The operation of this program since 1981 has decreased the frequency of bovine tuberculosis in the cattle population of Iran from > 5.00% to < 0.14%.8 In this study, the sensitivity and specificity of SICTT for M. bovis were calculated 53.70% and 100%, MTC 100% and 100%, and MAP 60.50% and 100%, respectively. These results were similar to Alvarez et al. study in Spain that the sensitivity and specificity of SICTT were highly variable (sensitivity v = 40.10 - 92.20% and specificity > 99.00%).47 Similarly, Schiller et al. in a review of many international studies, reported 55.10 -93.50% sensitivity and 88.80 - 100% specificity for SICCT.50 According to a study by O'Hagan et al, in the British Isles, the sensitivity of the SICCT test was 88.61%, and the median estimated for the specificity was 99.80% that was different from our results in the specificity.25
In some circumstances, anergy and immunosuppression in the advanced stages of tuberculosis, could explain the decreased insensitivity. This low sensitivity is an essential issue for the success of the test-and-slaughter program that should be considered in the control program.
The success of the test-and-slaughter program for bovine tuberculosis control directly depends on the diagnostic ability of the laboratory tests. The SICTT is limited in its sensitivity and specificity especially in association with another Mycobacterium spp. In this study, one of the most important points was co-infection with two or more mycobacterium. This means that using one laboratory method to detect bovine tuberculosis alone is not sufficient, and it must use two or more laboratory methods. The results also provided further confirmation of IHC and real-time PCR as a sensitive and reliable diagnostic screening approach for the detection of bovine tuberculosis.
Acknowledgments
The research leading to these results was funded by a grant (No. 3.48266) from the Research Council of Ferdowsi University of Mashhad, Mashhad, Iran.
Conflict of interest
The authors declare no conflict of interest.
References
1. Organization WH. Global tuberculosis report 2018: World Health Organization 2018; Available at: https:// apps.who.int/iris/handle/10665/274453. Accessed Dec 13, 2021.
2. Brahma D, Narang D, Chandra M, et al. Diagnosis of bovine tuberculosis by comparative intradermal tuberculin test, interferon gamma assay and esxB (CFP-10) PCR in blood and lymph node aspirates. Open J Vet Med 2019; 9: 55-65.
3. Jolly A, Lompardía S, Hajos SE, et al. Evidence of a pro-apoptotic effect of specific antibodies in a bovine macrophage model of infection with Mycobacterium avium subsp. paratuberculosis. Vet Immunol Immunopathol 2016; 169: 47-53.
4. Park HT, Yoo HS. Development of vaccines to Mycobacterium avium subsp. Paratuberculosis infection. Clin Exp Vaccine Res 2016; 5(2): 108-116.
5. Garrido JM, Vazquez P, Molina E, et al. Paratuberculosis vaccination causes only limited cross-reactivity in the skin test for diagnosis of bovine tuberculosis. PLoS One 2013; 8(11): e80985. doi: 10.1371/journal.pone.0080985.
6. Wolf R, Orsel K, De Buck J, et al. Calves shedding Mycobacterium avium subspecies paratuberculosis are common on infected dairy farms. Vet Res 2015; 46: 71. doi:10.1186/s13567-015-0192-1.
7. Mustafa T, Wiker HG, Mfinanga SG, et al. Immuno-histochemistry using a Mycobacterium tuberculosis complex specific antibody for improved diagnosis of tuberculous lymphadenitis. Mod Pathol 2006; 19(12): 1606-1614.
8. Mosavari N, Geravand MM, Tadayon K, et al. Mycobacterial coinfection and persisting bovine tuberculosis-Has the time arrived for a policy review? Int J Mycobacteriol 2016; 5(Suppl 1): S82-S83.
9. Azadi D, Motallebirad T, Ghaffari K, et al. Myco-bacteriosis and tuberculosis: laboratory diagnosis. Open Microbiol J 2018; 12: 41-58.
10. Pucken VB, Knubben-Schweizer G, Döpfer D, et al. Evaluating diagnostic tests for bovine tuberculosis in the southern part of Germany: a latent class analysis. PLoS One 2017; 12(6): e0179847. doi: 10.1371/ journal.pone.0179847.
11. Gilardoni LR, Paolicchi FA, Mundo SL. Bovine paratuberculosis: a review of the advantages and disadvantages of different diagnostic tests. Rev Argent Microbiol 2012; 44(3): 201-215.
12. Klein D. Quantification using real-time PCR technology: applications and limitations. Trends Mol Med 2002; 8(6): 257-260.
13. Bennett S, Woods T, Liyanage WM, et al. A simplified general method for cluster-sample surveys of health in developing countries. World Health Stat Q 1991; 44(3): 98-106.
14. Hermans PW, van Soolingen D, Dale JW, et al. Insertion element IS986 from Mycobacterium tuberculosis: a useful tool for diagnosis and epidemiology of tuberculosis. J Clin Microbiol 1990; 28(9): 2051-2058.
15. Whittington RJ, Sergeant ES. Progress towards understanding the spread, detection and control of Mycobacterium avium subsp. paratuberculosis in animal populations. Aust Vet J 2001; 79(4): 267-278.
16. Thacker TC, Harris B, Palmer MV, et al. Improved specificity for detection of Mycobacterium bovis in fresh tissues using IS6110 real-time PCR. BMC Vet Res 2011; 7: 50. doi: 10.1186/1746-6148-7-50.
17. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta DeltaC(T)) method. Methods 2001; 25(4): 402-408.
18. Tadele A, Beyene D, Hussein J, et al. Immunocyto-chemical detection of Mycobacterium tuberculosis complex specific antigen, MPT64, improves diagnosis of tuberculous lymphadenitis and tuberculous pleuritis. BMC Infect Dis 2014; 14: 585. doi: 10.1186/ s12879-014-0585-1.
19. Neill SD, Bryson DG, Pollock JM. Pathogenesis of tuberculosis in cattle. Tuberculosis (Edinb) 2001; 81(1-2): 79-86.
20. Asseged B, Woldesenbet Z, Yimer E, et al. Evaluation of abattoir inspection for the diagnosis of Mycobacterium bovis infection in cattle at Addis Ababa abattoir. Trop Anim Health Pro 2004; 36(6): 537-546.
21. De la Rua-Domenech R, Goodchild AT, Vordermeier HM, et al. Ante mortem diagnosis of tuberculosis in cattle: a review of the tuberculin tests, gamma-interferon assay and other ancillary diagnostic techniques. Res Vet Sci 2006; 81(2): 190-210.
22. Tweddle NE, Livingstone P. Bovine tuberculosis control and eradication programs in Australia and New Zealand. Vet Microbiol 1994; 40(1-2): 23-39.
23. Goodchild AV, Downs SH, Upton P, et al. Specificity of the comparative skin test for bovine tuberculosis in Great Britain. Vet Rec 2015; 177(10): 258. doi: 10.1136/vr.102961.
24. Teklu A, Asseged B, Yimer E, et al. Tuberculous lesions not detected by routine abattoir inspection: the experience of the Hossana municipal abattoir, southern Ethiopia. Rev Sci Tech 2004; 23(3): 957-964.
25. O'Hagan MJ, Courcier EA, Drewe JA, et al. Risk factors for visible lesions or positive laboratory tests in bovine tuberculosis reactor cattle in Northern Ireland. Prev Vet Med 2015; 120(3-4): 283-290.
26. Byrne A, Graham J, Brown C, et al. Modelling the variation in skin?test tuberculin reactions, postmortem lesion counts and case pathology in tuberculosis?exposed cattle: Effects of animal characteristics, histories and co?infection. Transbound Emerg Dis 2018; 65(3): 844-858.
27. Pal M, Zenebe N, Amare T, et al. An abattoir based study on bovine tuberculosis in Debre Zeit, Ethiopia. World Vet J 2017; 7(3): 101-107.
28. Corner LA. Post mortem diagnosis of Mycobacterium bovis infection in cattle. Vet Microbiol 1994; 40(1-2): 53-63.
29. Terefe D. Gross pathological lesions of bovine tuberculosis and efficiency of meat inspection procedure to detect-infected cattle in Adama municipal abattoir. J Vet Med Anim Health 2014; 6(2): 48-53.
30. Frankena K, White PW, O'keeffe J, et al. Quantification of the relative efficiency of factory surveillance in the disclosure of tuberculosis lesions in attested Irish cattle. Vet Rec 2007; 161(20): 679-684.
31. Shittu A, Clifton-Hadley RS, Ely ER, et al. Factors associated with bovine tuberculosis confirmation rates in suspect lesions found in cattle at routine slaughter in Great Britain, 2003-2008. Prev Vet Med 2013; 110(3-4): 395-404.
32. Wright DM, Allen AR, Mallon TR, et al. Detectability of bovine tuberculosis using the tuberculin skin test does not vary significantly according to pathogen genotype within Northern Ireland. Infect Genet Evol 2013; 19: 15-22.
33. Clegg TA, Good M, Doyle M, et al. The performance of the interferon gamma assay when used as a diagnostic or quality assurance test in Mycobacterium bovis infected herds. Prev Vet Med 2017; 140: 116-121.
34. Collins JD. Factors relevant to M. bovis eradication. Ir Vet J 1996; 49: 241-243.
35. McIlroy SG, Neill SD, McCracken RM. Pulmonary lesions and Mycobacterium bovis excretion from the respiratory tract of tuberculin reacting cattle. Vet Rec 1986; 118(26): 718-721.
36. Neill SD, Pollock JM, Bryson DB, et al. Pathogenesis of Mycobacterium bovis infection in cattle. Vet Microbiol 1994; 40(1-2): 41-52.
37. Stamp JT. A review of the pathogenesis and pathology of bovine tuberculosis with special reference to practical problems. Vet Rec 1944; 56: 443-446.
38. Ameni G, Aseffa A, Engers H, et al. High prevalence and increased severity of pathology of bovine tuberculosis in Holsteins compared to zebu breeds under field cattle husbandry in central Ethiopia. Clin Vaccine Immunol 2007; 14(10): 1356-1361.
39. Rodríguez JG, Fissanoti JC, Del Portillo P, et al. Amplification of a 500-base-pair fragment from cultured isolates of Mycobacterium bovis. J Clin Microbiol 1999; 37(7): 2330-2332.
40. Meikle V, Schneider M, Azenzo G, et al. Individual animals of a cattle herd infected with the same Mycobacterium. bovis genotype shows important variations in bacteriological, histopathological and immune response parameters. Zoonoses Public Health 2007; 54(2): 86-93.
41. Vitale F, Capra G, Maxia L, et al. Detection of Mycobacterium tuberculosis complex in cattle by PCR using milk, lymph node aspirates, and nasal swabs. J Clin Microbiol 1998; 36(4):1050-1055.
42. Tortoli E, Mariottini A, Mazzarelli G. Evaluation of INNO-LiPA Mycobacteria v2: improved reverse hybridization multiple DNA probe assay for Mycobacterial identification. J Clin Microbiol 2003; 41(9): 4418-4420.
43. Romero B, Rodríguez S, Bezos J, et al. Humans as source of Mycobacterium tuberculosis infection in cattle, Spain. Emerg Infect Dis 2011; 17(12): 2393-2395.
44. Thakur A, Sharma M, Katoch VC, et al. Detection of Mycobacterium bovis and Mycobacterium tuberculosis from cattle: possible public health relevance. Indian J Microbiol 2012; 52(2): 289-291.
45. Fathi R, Sarkarati F, Eslami M, et al. Detection of Mycobacterium avium subsp. paratuberculosis in cow milk using culture and PCR methods. Arch Razi Inst 2011: 66(2): 95-100.
46. Kennedy AE, Byrne N, O'Mahony J, et al. Investigations and implications of associations between myco-bacterial purified protein derivative hypersensitivity and MAP-antibody ELISA in Irish dairy cows. Res Vet Sci 2017; 115: 13-16.
47. Alvarez J, de Juan L, Bezos J, et al. Effect of para-tuberculosis on the diagnosis of bovine tuberculosis in a cattle herd with a mixed infection using interferon-gamma detection assay. Vet Microbiol 2009; 135(3-4): 389-393.
48. Amadori M, Tagliabue S, Lauzi S, et al. Diagnosis of Mycobacterium bovis infection in calves sensitized by mycobacteria of the avium/intracellulare group. J Vet Med B Infect Dis Vet Public Health 2002; 49(2): 89-96.
49. Purohit MR, Mustafa T, Wiker HG, et al. Immuno-histochemical diagnosis of abdominal and lymph node tuberculosis by detecting Mycobacterium tuberculosis complex specific antigen MPT64. Diagn Pathol 2007; 2(1): 36. doi: 10.1186/1746-1596-2-36.
50. Schiller I, Oesch B, Vordermeier HM, et al. Bovine tuberculosis: a review of current and emerging diagnostic techniques in view of their relevance for disease control and eradication. Transbound Emerg Dis 2010; 57(4): 205-220.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2022. This work is published under https://creativecommons.org/licenses/by-nc/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Details
1 Department of Pathobiology, Faculty of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran