Skip to main content

ORIGINAL RESEARCH article

Front. Vet. Sci., 18 December 2020
Sec. Veterinary Infectious Diseases
Volume 7 - 2020 | https://doi.org/10.3389/fvets.2020.591444

Intra-vitam Diagnosis of Tuberculosis in Pigs: Concordance Between Interferon-Gamma Release Assay and Comparative Tuberculin Skin Test

  • 1Istituo Zooprofilattico Sperimentale della Sicilia “A. Mirri”, Area Territoriale Barcellona Pozzo di Gotto, Messina, Italy
  • 2Veterinary Practitioner, Messina, Italy
  • 3Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Rome, Italy

The role of pigs in the maintenance of bovine tuberculosis caused by Mycobacterium bovis has been demonstrated in many settings; however, the current control programs usually do not state any intra-vitam diagnostic procedure in this species, as for the cattle. Carcass inspection has shown to be insufficient to detect infection in swine; thus, the assessment of intradermal tuberculin test and interferon-gamma release assay (IGRA) in this species is mandatory. The current study compares the performances of the single intradermal comparative cervical tuberculin (SICCT) test and IGRA. A total of 628 Nebrodi Black pigs raised in free-roaming farms were subjected to the two tests simultaneously. Besides, 124 animals underwent postmortem examination for the detection of tuberculous lesions and isolation of mycobacteria from target organs. The two tests showed a concordance of 94.42% with a Cohen's k coefficient of 0.786 and McNemar chi-square of 4.83 (P = 0.03). Slightly lower levels of concordance (90.32%) between SICCT and IGRA were obtained in the group of 124 animals, with a Cohen's k = 0.797 and McNemar chi-squared value of 0.69 with a non-significant P = 0.41. Moreover, the results showed how IGRA tends to result positive in higher rates, mostly when non-tuberculous mycobacteria (NTM) were isolated, suggesting a possible impairment of specificity in the event of coinfections in the swine. In conclusion, the results obtained support the possibility of the strategic use of IGRA or SICCT in combination or alternatively one to the other, particularly IGRA which showed lower specificity but has evident advantages over SICCT.

Introduction

Despite being named after its main host, bovine tuberculosis (bTB) is a chronic, weakening infectious disease caused by Mycobacterium bovis which infects a broad host spectrum (1). The disease, mainly detected in cattle, can also affect various domestic species including goats, sheep, camelids, buffaloes, and domestic carnivores, along with several wildlife species. The Suidae family has been demonstrated to be highly susceptible to mycobacteriosis caused by M. bovis, and the detection of severe generalized lesions reported in pigs and wild boars suggests that those species may act as maintenance hosts rather than dead-end hosts in peculiar epidemiological contexts (2, 3). M. bovis infections are more rarely encountered in settings were bTB eradication programs are highly effective and the swine industry is mainly based on intensive rational breeding farms. On the contrary, bTB seems to occur mainly in areas where pigs are bred in free-roaming systems and where the density of infected wildlife (e.g., wild boars) is high, with or without the presence of bovines (4). The existence of a dynamic interface between environment, livestock, and wildlife is highlighted as well by the presence of several M. bovis strains shared between species, especially in those settings with free-roaming animals sharing the same environment (5). The role of wildlife seems to be crucial for the disease persistence (6) as it is well-established that sharing pastures and water sources between infected and uninfected animals makes the interspecies transmission very likely (7). Thus, in this scenario the application of systematic intra-vitam testing restricted to cattle and neglecting the role of the other susceptible species poses several obstacles to the current eradication programs in many countries. The two available intra-vitam assays are the single intradermal tuberculin (SIT) test and interferon-gamma release assay (IGRA), which measure the cell-mediated immune response (CMI), the earliest response to the infection (8). These tests have been adapted from the bovine species and the scientific literature dealing with their use in suids is scarce. There are indeed few reports on farmed pigs (9, 10) and some reports on wild boards (11). In particular, Jaroso et al. (11) in 2010 suggested the potential use of Single Intradermal Comparative Cervical Tuberculin (SICCT) test for the diagnosis of bTB in Eurasian wild boards. The study, however, highlighted the difficulties related to the restraint of the animals that make this test scarcely applicable to the routine bTB testing in the field. Conversely, in a previous study (10), our group already tested IGRA performances on pigs. The study showed that IGRA is an easy-to-apply test, requiring just a blood sampling, and suggested the possible large-scale use of IGRA in pigs, due to the high diagnostic power and the reliable accuracy (10). Similarly, tests measuring the humoral immune response on sera samples have been considered as convenient tools to evaluate the prevalence of bTB in suids (1214). However, to the best of our knowledge, extensive data on the application of these methods still lack in farmed pigs. The primary purpose of the present study is to compare the performances of the two intra-vitam diagnostic methods (IGRA and SICCT), in support of future decisions concerning bTB control programs in pigs.

Materials and Methods

The area under study is the Nebrodi Natural Park Area, sited northwest in the island of Sicily, Italy. The Park is characterized by an extensive farming system, where different species (e.g., cattle, sheep, goats, horses, and donkeys) are often bred in promiscuity. Moreover, contacts between livestock and wildlife (e.g., feral pigs, wild boars, deers, foxes, martens, porcupines) are not uncommon, due to shared pastures and watering areas. Among the porcine breeds, one of the most common is the endogenous Nebrodi Black Pig, a small-size dark-coated pig which resembles the wild boar, due to the overlapping habitat occupied, and the similar social, behavioral and alimentary habits. Animals kept in 45 free-range farms were included, according to the willingness of the breeders to participate in the study. All the breeding pigs present within the farms (for a total number of 628 animals) were tested both by SICCT and IGRA. According to the need of renewing old breeders, 124 subjects were slaughtered during the study period and were subjected to postmortem examination (PME) at the abattoir.

Comparative Tuberculin Skin Test

The Single Intradermal Comparative Cervical Tuberculin (SICCT) test was carried out after the appropriate individual restraint of each animal. The test was performed injecting intradermally the basal area of both the auricular pinnae with 0.1 mL of bovine purified protein derivative (b-PPD, 5,000 UI) and 0.2 mL of avian PPD (a-PPD, 5,000 UI), obtained from Istituto Zooprofilattico Sperimentale dell' Umbria e delle Marche (IZSUM, Perugia, Italy). Skin folds were measured after 72 h by the use of a caliper, and interpretation of the results was carried out according to the legislation in force (European Union Directive 97/12/EC), applied to cattle, as follows:

Positive reactor: a positive b-PPD reaction which is more than 4 mm greater than the a-PPD reaction, or the presence of clinical signs;

Inconclusive: a positive or inconclusive b-PPD reaction which is from 2 to 4 mm greater than the a-PPD reaction, and the absence of clinical signs;

Negative reactor: a negative b-PPD reaction, or a positive or inconclusive b-PPD reaction but which is equal to or less than a positive or inconclusive a-PPD reaction and the absence of clinical signs in both cases.

Interferon-Gamma Release Assay

Interferon-gamma (IFNγ) release assay (IGRA) was performed according to Pesciaroli et al. (10) on whole blood samples collected in heparinized tubes by venipuncture from each animal before SICCT was performed. Four aliquots of blood (1.5 mL) were separately stimulated in a 24-flat-bottomed-well plate with a-PPD (10 μg/mL), b-PPD (10 μg/mL), phosphate buffer saline (PBS) as negative control and pokeweed mitogen (PWM, Sigma Aldrich) as a positive control, to assess lymphocytes vitality and responsiveness. Incubation was performed overnight at 37° and 5% CO2.

Supernatants obtained were then collected and processed using a commercial kit (Quantikine Elisa kit, Porcine IFNγ, R&D systems) according to the manufacturer's instructions. Plates were read using a spectrophotometer (Multiskan FC 51119000, Thermo Scientific) at a 450-nm wavelength, and results were expressed as optical densities (OD). Interpretation of the results was performed according to Cagiola et al. (15), using the following criteria:

Unsuitable: OD (PBS) > 0.15;

M. bovis reactor if: OD (b-PPD) ≥ 2 OD (PBS) or OD (b-PPD)/ OD (a-PPD) ≥ 1.1;

M. avium reactor if OD (a-PPD) ≥ 2 OD (PBS) or OD (b-PPD)/ OD (a-PPD) ≤ 0.9;

Unresolved if OD (b-PPD)/ OD (a-PPD) between 0.9 and 1.1.

Anatomopathological Examination

The postmortem examination (PME) was performed by the systematic inspection at the slaughterhouse. Each carcass was sectioned, and target organs were examined. Particularly, lymph nodes of the head region (retropharyngeal, submandibular, parotidean and the tonsils), the thorax (bronchoalveolar and mediastinal), and the abdomen (mesenteric), as well as the heart and lungs were inspected and collected for further analysis. Abdominal organs (spleen, liver, and the gastrointestinal tract) were also inspected and collected.

M. bovis Isolation and Identification

Tissue samples were collected from organs abovementioned and processed according to the standard operating procedures, approved by the Italian certifying body ACCREDIA, in use in the Laboratory of Istituto Zooprofilattico Sperimentale della Sicilia (IZS-Barcellona Pozzo di Gotto, Italy) (16). Tissue homogenates were decontaminated using NaOH 1 N and then neutralized. After several steps of washing and centrifugation, the sediment was cultured using the liquid culture system BACTEC-MGIT 960 (Becton Dickinson) according to the manufacturer's instructions. Incubation was performed at 37°C ± 2. Samples showing no growth within 6 weeks were considered negative. Conversely, if any growth was evident, an aliquot of the sample was smeared onto a slide and submitted to Ziehl–Neelsen staining to confirm the presence of mycobacteria and to exclude eventual contamination. If any contamination was present, the vial containing the isolate underwent to an additional decontamination step and then incubated again in the BACTEC-MGIT 960 system. All the positive samples were sent to the National Reference Center for Tuberculosis, Istituto Zooprofilattico Sperimentale della Lombardia e dell' Emilia Romagna (IZSLER-Brescia, Italy). The isolates were submitted to PCR for the detection of microorganisms belonging to the genus Mycobacterium spp., and the mycobacterium tuberculosis complex (MTBC) according to the accredited procedure in use (MP 09/004, rev. 2/2012). In the case of positivity, high-resolution melt (HRM) analysis targeting the gyrB gene was performed to assess the presence of M. bovis. In the case of Mycobacterium spp. positive samples resulted negative to MTBC identification, infection by non-tuberculous mycobacteria (NTM) was diagnosed.

Statistical Analysis

To compare the performance of the diagnostic assays, results were examined in contingency tables and concordance test and Cohen's k coefficient (k) were used. McNemar's test was used to assess any difference in the performance of the two tests. Significance was set for a p-value (P) ≤ 0.5.

Results

Intra-vitam Diagnostic Approach

Data on the performance of SICCT and IGRA were available for 628 animals, testing positive in 90 (14.33%) and 103 (16.4%) animals, respectively (Table 1). When the performances of the two tests were compared, concordance accounted for 94.42%, with a McNemar chi-squared = 4.83 (P = 0.03) and k = 0.786 (good), demonstrating how these two tests are highly comparable in the context examined. Within this group, 79 animals tested positive for both tests, 11 animals for SICCT and 24 animals for IGRA.

TABLE 1
www.frontiersin.org

Table 1. Total animals tested using IGRA and SICCT.

Comparison of Intra-vitam Diagnosis With Microbiological and Postmortem Analysis

Mycobacteria Isolation and Identification

According to the microbiological and molecular analysis performed on the 124 carcasses submitted to PME, the animals were grouped as follows:

M. bovis positive group (21/124, 16.9%) (Table 2). SICCT and IGRA gave positive results in 19 (90.5%) and negative results in 2 (9.5%) animals, respectively (Table 2), with 100% concordance and k = 1.

TABLE 2
www.frontiersin.org

Table 2. Analysis performed in M. bovis culture positive animals.

Non-tuberculous mycobacteria (NTM) positive group (30/124 = 24.2%) (Table 3). SICCT and IGRA gave positive results in 9 (30.0%) and 14 (46.7%) animals, respectively. Concordance was moderate (k = 0.521), McNemar chi-square was 3.57 (P = 0.06). Within this group, eight animals tested positive for both tests, one animal for SICCT and six animals for IGRA.

TABLE 3
www.frontiersin.org

Table 3. Analysis performed on non-tuberculous mycobacteria (NTM) positive animals.

Culture negative group (73/124, 58.9%) (Table 4). SICCT and IGRA gave positive results in 17 (20.5%) and 15 (23.3%) animals, respectively. Concordance was good (k = 0.760), McNemar chi-square statistic was 0.67 (P = 0.41). Within this group, 13 animals tested positive for both tests, four animals for SICCT and two animals for IGRA.

TABLE 4
www.frontiersin.org

Table 4. Analysis performed on culture-negative animals.

Lesions

Twenty-nine out of 124 animals (23.4%) showed visible lesions (VLs) referable to tuberculosis (Figure 1A). From these animals, M. bovis was isolated in 20/29 cases (69%), while NTM were identified in a smaller percentage of samples (5/29, 17.2%). Interestingly, four samples out of 29 showing VLs did not show any growth of mycobacteria (13.8%). Intra-vitam tests on these animals were highly concordant, with 26 animals positive and three negatives to both tests (Figure 1B). Most of the animals affected by M. bovis showed concordant positivity to both assays (18/20, 90%). Surprisingly, all five animals affected by NTM showed positivity to both intra-vitam assays. However, both IGRA and SICCT did not detect three animals out of 29 (10.3%) showing VLs, among which two were positive to M. bovis.

FIGURE 1
www.frontiersin.org

Figure 1. Results of culture and intra-vitam assays of animals showing visible lesions (VLs) and non-visible lesions (NVLs). (A) Microbiological results in animals with VLs. (B) Results of intra-vitam assays in animals with VLs. (C) Microbiological results in animals with NVLs. (D) Results of intra-vitam assays in animals with NVLs.

The remaining 95 animals (76.6%) did not show any visible lesions (NVLs, Figure 1C). No mycobacteria were isolated from the majority of the samples (69/95, 72.6%), while NTM were isolated in 25/95 samples (26.3%). Only one sample (1.05%) was positive to M. bovis. The overall response to intra-vitam tests is described in Figure 1D. Both culture-negative and NTM group tested largely negative to IGRA and SICCT (53/69, 76.8% and 15/25, 60%, respectively). However, a certain level of positivity to intra-vitam tests was recorded in both groups (16/69, 29% and 10/25, 40% for the culture-negative and the NTM group respectively). Interestingly, the only lesion-negative case positive to M. bovis tested positive to both IGRA and SICCT.

In conclusion, the concordance between IGRA and SICCT within the group of animals submitted to PME (124) was high, accounting for 90.32%, with a k = 0.797 (good) and McNemar chi-squared value of 0.69 (P = 0.41). Within this group, 40 animals tested positive for both tests, five animals for SICCT and eight animals for IGRA.

Discussion

In many countries, pigs serve as dead-end spillover hosts of bTB (17, 18); however, in others, their role as maintenance hosts has been widely recognized (2, 3). Either in Spanish wild boars (2) or Nebrodi Black Pigs in Sicily (3), the high rates of reported generalized granulomatous lesions referable to bTB suggested the role of suids as maintenance hosts. Moreover, a novel strain of M. bovis was isolated in Nebrodi Black Pigs, raising the concern of active circulation of M. bovis genotypes exclusively in the porcine species (3), further corroborated by more recent studies (5).

Although bTB prevalence in swine has not been subjected to the official investigation, there is a strong body of evidence that bTB can be actively present in the pig population. This implies that the control of bTB in swine should be mandatory when the presence of those animals represents an epidemiological risk. The sole carcass inspection at the slaughterhouse, as provided for in the legislation in force, however, cannot represent the best approach. It has been shown that the isolation of M. bovis not always corresponds to macroscopically detectable lesions at the abattoir (19, 20) and that the most frequently affected organs in swine are mandibular lymph nodes and tonsils (21), which usually are not examined during swine carcasses official inspection. As a consequence, the control program could benefit from the application of intra-vitam diagnostic techniques in swine.

Overall, our investigation on the use of intra-vitam diagnostic techniques shows that IGRA and SICCT can detect bTB in a quite similar manner, giving high concordant results. However, despite the equal performance, IGRA tended to retrieve higher positivity rates. Twenty-four out of 628 (3.8%) animals were positive to the sole IGRA, while 11/628 (1.75%) were positive only to SICCT (Table 1). Although the only data available on pigs reported an IGRA specificity of 100% (10), the ability of other mycobacteria to interfere with intra-vitam diagnostic tests has not been clarified yet. In other species, the performances of SICCT and IGRA can be influenced by the exposition to environmental mycobacteria (2224). Our results suggest that NTM-exposed pigs could be misdiagnosed by SICCT and IGRA (Table 3 and Figures 1B,D). To further dissect this issue, it could be useful to perform studies on detection of highly specific CMI response to M. bovis after stimulation of pig cells with antigens which are usually not expressed by NTM (such as ESAT-6 or CFP-10) (25), as already done in cattle (25, 26).

On the other hand, a higher sensitivity of IGRA cannot be ruled out. In cattle, it has been demonstrated that IFNγ is produced during the initial phase of the mycobacterial infection while the reaction induced by SICCT appears later (8). Moreover, the higher sensitivity could also be related to the higher analytical sensitivity of IGRA, able to detect low levels of IFNγ and therefore milder immune responses.

However, it has been shown how bacteriology has its limitations (27) and that sensitivity can be improved by the parallel use of PCR on organs and culture for the diagnosis of bTB in swine (28). This could explain the positivity of intra-vitam tests in culture-negative animals with or without VLs. We found highly concordant positivity to IGRA and SICCT (Figures 1B,D) in culture-negative animals (10.3% showing VLs and 10.5% with NVLs). Unfortunately, no PCR on tissues was performed in our study, so the supposed lack of sensitivity of microbiological examination cannot be ruled out. However, although culture and PCR are widely accepted as a gold-standard diagnostic method for bTB, Bayesian latent class statistical analysis has been recently used to assess sensitivity and specificity of the different diagnostic tools for bTB (2934) in the absence of a “perfect” gold-standard method. Since these studies were conducted on Tuberculosis affecting cattle, similar studies are envisaged also in the pig population.

Nevertheless, because the study design is not possible to formulate any consideration on test performance; larger-scale studies performed on animals with known health status (exposed vs. non-exposed to bTB) are needed to demonstrate the hypothesis of a lower specificity of IGRA than SICCT, in swine.

Other approaches to bTB diagnosis in pigs have considered humoral response parameters in pigs (1214). The humoral response generally raises later during mycobacterial infection (8) but seems to have an earlier onset in pigs (12). The parallel use of CMI and serological tests is useful to detect anergic states which can be misdiagnosed by CMI tests (8). As a consequence, attempting further studies combining CMI and humoral response assessment might be of some interest to improve diagnostic techniques for bTB in swine.

The high concordance between IGRA and SICCT detected in our study opens new interesting scenarios concerning the use of IGRA, both as a parallel test to SICCT or as a stand-alone test, as already suggested for bovines (35). In many regions, the strategical use of IGRA and the intradermal tuberculin test, single or comparative, in series or parallel has been applied to optimized the control programs, in areas with different prevalence levels of tuberculosis (36). To date, the European legislation does not recognize the use of IGRA as a stand-alone test for bTB in cattle. The measurement of IFNγ levels in plasma could potentially overcome most of the difficulties related to the application of SIT, especially in those species notoriously more difficult to restrain (such as pigs) or in free-roaming farming systems. The tuberculin injection and the interpretation of the results take place in two steps, requiring the restraint of the animals twice in a short interval of time (72 h), increasing the risk of stress in the animal and resulting unpractical to both the Veterinary Service and the farmer. Conversely, IFNγ measurement in plasma needs just one capture and a blood sampling, which could be performed contextually to other samplings, as laid down in other diseases control programs (such as for classical swine fever, swine vesicular disease, and Aujeszky's diseases). Moreover, intradermal tuberculin test (single or comparative) is also strictly dependent on the capacity and experience of the operator (37), while interpretation criteria for IGRA are more objective and can be adjusted to improve sensitivity or specificity (38, 39). Nevertheless, blood samples collected for IGRA should be kept at room temperature and should be processed within 8 h (40), representing in some cases a strong limitation for its massive application in the field. However, our group developed a protocol to extend the shelf-life of the blood sample, by using interleukin-enriched maintenance media, which can preserve vitality and responsiveness of IFNγ-producing lymphocytes up to 6 days post-collection (41). The use of these maintenance media could avoid the drawbacks associated with preanalytical requirements of IGRA. Moreover, the IGRA is a more reliable test than SICCT because in laboratory conditions it is possible to use positive and negative controls (PWM and PBS) to evaluate the conservation conditions of the samples and the immunological status of the animal (42, 43).

Based on our experience and the data provided, we believe that this test can be used with a certain level of confidence in the case in which a bTB eradication program would be applied to the porcine species.

In conclusion, to the best of our knowledge, there are currently no studies comparing SICCT and IGRA performances in the porcine species, nor raising the hypothesis that the two tests might be used one in alternative to the other for the intra-vitam bTB diagnosis in pigs. The present study provides additional data supporting the use of intra-vitam diagnostic assay for bTB in the swine. Moreover, it moves forward the possibility of using the sole IGRA as a diagnostic test for bTB in pigs, in the light of the evident advantages of this technique over SICCT. In particular, it is our opinion that IGRA is a valuable approach especially in areas with high bTB prevalence due to the persistence of the main risk factors, such as promiscuity between species, shared pastures, feeding and watering areas, close contact with wildlife.

Data Availability Statement

The original contributions generated for this study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Ethics Statement

The animal study was reviewed and approved by Organismo preposto al benessere degli animali (O.P.B.A.), Istituto Zooprofilattico Sperimentale della Sicilia A. Mirri. Written informed consent was obtained from the owners for the participation of their animals in this study.

Author Contributions

VD conceived the presented idea and planned the study. VD, PP, and DI supervised all research. FP, BA, and AA performed the intra-vitam tests and provided the samples. BA and MV performed the experiments. DI, MF, and BA collected the data and performed the statistical analysis and the data interpretation. DI and FP drafted the manuscript and prepared the tables and the figures. PP and VD revised the manuscript. All authors discussed the results and approved the final version of the manuscript.

Funding

This work was supported by the Italian Ministry of Health within the current research projects IZS SI 17/16 RC 2016 and IZS SI 05/18 RC 2018. Project administrator VD. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors thank the National Reference Center for Tuberculosis, Istituto Zooprofilattico Sperimentale della Lombardia e dell' Emilia Romagna (IZSLER-Brescia, Italy), for the molecular assays performed on samples. Special thanks are due to Giovanna Romeo, Carmelinda Biondo, Rosita Calogero, and Elena Isgrò for the technical support.

References

1. Pesciaroli M, Alvarez J, Boniotti MB, Cagiola M, Di Marco V, Marianelli C, et al. Tuberculosis in domestic animal species. Res Vet Sci. (2014) 97:S78–85. doi: 10.1016/j.rvsc.2014.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Naranjo V, Gortazar C, Vicente J, de la Fuente J. Evidence of the role of European wild boar as a reservoir of Mycobacterium tuberculosis complex. Vet Microbiol. (2008) 127:1–9. doi: 10.1016/j.vetmic.2007.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Di Marco V, Mazzone P, Capucchio MT, Boniotti MB, Aronica V, Russo M, et al. Epidemiological significance of the domestic black pig (Sus scrofa) in maintenance of bovine tuberculosis in Sicily. J Clin Microbiol. (2012) 50:1209–18. doi: 10.1128/JCM.06544-11

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Parra A, Fernández-Llario P, Tato A, Larrasa J, García A, Alonso JM, et al. Epidemiology of Mycobacterium bovis infections of pigs and wild boars using a molecular approach. Vet Microbiol. (2003) 97:123–33. doi: 10.1016/j.vetmic.2003.08.007

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Amato B, Di Marco Lo Presti V, Gerace E, Capucchio MT, Vitale M, Zanghì P, et al. 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. (2018) 65:e416–24. doi: 10.1111/tbed.12776

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Gortázar C, Torres MJ, Vicente J, Acevedo P, Reglero M, de la Fuente J, et al. Bovine tuberculosis in Doñana Biosphere Reserve: the role of wild ungulates as disease reservoirs in the last Iberian lynx strongholds. PLoS ONE. (2008) 3:e2776. doi: 10.1371/journal.pone.0002776

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Santos N, Richomme C, Nunes T, Vicente J, Alves PC, de la Fuente J, et al. Quantification of the animal tuberculosis multi-host community offers insights for control. Pathogens (Basel, Switzerland). (2020) 9:421. doi: 10.3390/pathogens9060421

PubMed Abstract | CrossRef Full Text | Google Scholar

8. de la Rua-Domenech R, Goodchild AT, Vordermeier HM, Hewinson RG, Christiansen KH, Clifton-Hadley RS. 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) 81:190–210. doi: 10.1016/j.rvsc.2005.11.005

PubMed Abstract | CrossRef Full Text

9. Songer JG, Bicknell EJ, Thoen CO. Epidemiological investigation of swine tuberculosis in Arizona. Can J Comp Med. (1980) 44:115–20.

PubMed Abstract | Google Scholar

10. Pesciaroli M, Russo M, Mazzone P, Aronica V, Fiasconaro M, Boniotti MB, et al. Evaluation of the interferon-gamma (IFN-γ) assay to diagnose Mycobacterium bovis infection in pigs. Vet Immunol Immunopathol. (2012) 148:369–72. doi: 10.1016/j.vetimm.2012.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Jaroso R, Vicente J, Fernandez-de-Mera IG, Aranaz A, Gortazar C. Eurasian wild boar response to skin-testing with mycobacterial and non-mycobacterial antigens. Prev Vet Med. (2010) 96:211–7. doi: 10.1016/j.prevetmed.2010.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Miller MA, Gortazar C, Roos EO, Risalde MA, Johnathan-Lee A, Sridhara AA, et al. Serological reactivity to MPB83 and CFP10/ESAT-6 antigens in three suid hosts of Mycobacterium bovis infection. Vet Microbiol. (2019) 235:285–8. doi: 10.1016/j.vetmic.2019.07.018

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Boadella M, Lyashchenko K, Greenwald R, Esfandiari J, Jaroso R, Carta T, et al. Serologic tests for detecting antibodies against Mycobacterium bovis and Mycobacterium avium subspecies paratuberculosis in Eurasian wild boar (Sus scrofa scrofa). J Vet Diagn Invest. (2011) 23:77–83. doi: 10.1177/104063871102300111

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Thomas J, Infantes-Lorenzo JA, Moreno I, Cano-Terriza D, de Juan L, García-Bocanegra I, et al. Validation of a new serological assay for the identification of Mycobacterium tuberculosis complex-specific antibodies in pigs and wild boar. Prev Vet Med. (2019) 162:11–7. doi: 10.1016/j.prevetmed.2018.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Cagiola M, Feliziani F, Severi G, Pasquali P, Rutili D. Analysis of possible factors affecting the specificity of the gamma interferon test in tuberculosis-free cattle herds. Clin Diagn Lab Immunol. (2004) 11:952–6. doi: 10.1128/CDLI.11.5.952-956.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

16. OIE. Manual of Diagnostic Tests and Vaccines for Terrestrial Animals, (Part 3, Section 3.4, Chapter 3.4.6). Version adopted in 2009, 8th Ed. Paris: OIE (2018). Available online at: https://www.oie.int/standard-setting/terrestrial-manual/access-online/ (accessed December 1, 2020).

17. McInerney J, Small KJ, Caley P. Prevalence of Mycobacterium bovis infection in feral pigs in the Northern Territory. Aus Vet J. (1995) 72:448–51. doi: 10.1111/j.1751-0813.1995.tb03486.x

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Nugent G, Gortazar C, Knowles G. The epidemiology of Mycobacterium bovis in wild deer and feral pigs and their roles in the establishment and spread of bovine tuberculosis in New Zealand wildlife. N Z Vet J. (2015) 63:54–67. doi: 10.1080/00480169.2014.963792

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Martín-Hernando MP, Höfle U, Vicente J, Ruiz-Fons F, Vidal D, Barral M, et al. Lesions associated with Mycobacterium tuberculosis complex infection in the European wild boar. Tuberculosis (Edinb). (2007) 87:360–7. doi: 10.1016/j.tube.2007.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

20. García-Jiménez WL, Salguero FJ, Fernández-Llario P, Martínez R, Risco D, Gough J, et al. Immunopathology of granulomas produced by Mycobacterium bovis in naturally infected wild boar. Vet Immunol Immunopathol. (2013) 156:54–63. doi: 10.1016/j.vetimm.2013.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Gortazar C, Vicente J, Boadella M, Ballesteros C, Galindo RC, Garrido J, et al. Progress in the control of bovine tuberculosis in Spanish wildlife. Vet Microbiol. (2011) 151:170–8. doi: 10.1016/j.vetmic.2011.02.041

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Biet F, Boschiroli ML. Non-tuberculous mycobacterial infections of veterinary relevance. Res Vet Sci. (2014) 97:S69–77. doi: 10.1016/j.rvsc.2014.08.007

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Alvarez J, de Juan L, Bezo J, Romero B, Sáez JL, Marqués S, et al. Effect of paratuberculosis on the diagnosis of bovine tuberculosis in a cattle herd with a mixed infection using interferon-gamma detection assay. Vet Microbiol. (2009) 135:389–93. doi: 10.1016/j.vetmic.2008.09.060

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Alvarez J, de Juan L, Bezos J, Romero B, Sáez JL, Reviriego Gordejo FJ, et al. Interference of paratuberculosis with the diagnosis of tuberculosis in a goat flock with a natural mixed infection. Vet Microbiol. (2008) 128:72–80. doi: 10.1016/j.vetmic.2007.08.034

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Waters WR, Nonnecke BJ, Palmer MV, Robbe-Austermann S, Bannantine JP, Stabel JR, et al. Use of recombinant ESAT-6:CFP-10 fusion protein for differentiation of infections of cattle by Mycobacterium bovis and by M. avium subsp. avium and M. avium subsp. paratuberculosis. Clin Diagn Lab Immunol. (2004) 11:729–35. doi: 10.1128/CDLI.11.4.729-735.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Vordermeier HM, Whelan A, Cockle PJ, Farrant L, Palmer N, Hewinson RG. Use of synthetic peptides derived from the antigens ESAT-6 and CFP-10 for differential diagnosis of bovine tuberculosis in cattle. Clin Diagn Lab Immunol. (2001) 8:571–8. doi: 10.1128/CDLI.8.3.571-578.2001

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Courcoul A, Moyen JL, Brugère L, Faye S, Hénault S, Gares H, et al. Estimation of sensitivity and specificity of bacteriology, histopathology and PCR for the confirmatory diagnosis of bovine tuberculosis using latent class analysis. PLoS ONE. (2014) 9:e90334. doi: 10.1371/journal.pone.0090334

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Barandiaran S, Pérez Aguirreburualde MS, Marfil MJ, Martínez Vivot M, Aznar N, Zumárraga, et al. Bayesian assessment of the accuracy of a pcr-based rapid diagnostic test for bovine tuberculosis in swine. Front Vet Sci. (2019) 6:204. doi: 10.3389/fvets.2019.00204

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Müller B, Vounatsou P, Ngandolo BN, Diguimbaye-Djaïbe C, Schiller I, Marg-Haufe B, et al. Bayesian receiver operating characteristic estimation of multiple tests for diagnosis of bovine tuberculosis in Chadian cattle. PLoS ONE. (2009) 4:e8215. doi: 10.1371/journal.pone.0008215

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Alvarez J, Perez A, Bezos J, Marqués S, Grau A, Saez JL, et al. Evaluation of the sensitivity and specificity of bovine tuberculosis diagnostic tests in naturally infected cattle herds using a Bayesian approach. Vet Microbiol. (2012) 155:38–43. doi: 10.1016/j.vetmic.2011.07.034

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Praud A, Boschiroli ML, Meyer L, Garin-Bastuji B, Dufour B. Assessment of the sensitivity of the gamma-interferon test and the single intradermal comparative cervical test for the diagnosis of bovine tuberculosis under field conditions. Epidemiol Infect. (2015) 143:157–66. doi: 10.1017/S0950268814000338

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Picasso-Risso C, Perez A, Gil A, Nunez A, Salaberry X, Suanes A, et al. Modeling the accuracy of two in-vitro bovine tuberculosis tests using a bayesian approach. Front Vet Sci. (2019) 6:261. doi: 10.3389/fvets.2019.00261

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Lahuerta-Marin A, Milne MG, McNair J, Skuce RA, McBride SH, Menzies FD, et al. Bayesian latent class estimation of sensitivity and specificity parameters of diagnostic tests for bovine tuberculosis in chronically infected herds in Northern Ireland. Vet J. (2018) 238:15–21. doi: 10.1016/j.tvjl.2018.04.019

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Singhla T, Boonyayatra S, Chulakasian S, Lukkana M, Alvarez J, Sreevatsan S, et al. Determination of the sensitivity and specificity of bovine tuberculosis screening tests in dairy herds in Thailand using a Bayesian approach. BMC Vet Res. (2019) 15:149. doi: 10.1186/s12917-019-1905-x

PubMed Abstract | CrossRef Full Text | Google Scholar

35. EFSA Panel on Animal Health and Welfare (AHAW) (2012). Scientific Opinion on the use of a gamma interferon test for the diagnosis of bovine tuberculosis, EFSA J. (2012) 10:2975. doi: 10.2903/j.efsa.2012.2975

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Sinclair JA, Dawson KL, Buddle BM. The effectiveness of parallel gamma-interferon testing in New Zealand's bovine tuberculosis eradication programme. Prev Vet Med. (2016) 127:94–9. doi: 10.1016/j.prevetmed.2016.03.020

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Good M, Bakker D, Duignan A, Collins DM. The history of in vivo tuberculin testing in bovines: tuberculosis, a “one health” issue. Front Vet Sci. (2018) 5:59. doi: 10.3389/fvets.2018.00059

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Faye S, Moyen JL, Gares H, Benet JJ, Garin-Bastuji B, Boschiroli ML. Determination of decisional cut-off values for the optimal diagnosis of bovine tuberculosis with a modified IFNγ assay (Bovigam®) in a low prevalence area in France. Vet Microbiol. (2011) 151:60–7. doi: 10.1016/j.vetmic.2011.02.026

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Keck N, Boschiroli ML, Smyej F, Vogler V, Moyen JL, Desvaux S. Successful application of the gamma-interferon assay in a bovine tuberculosis eradication program: the French bullfighting herd experience. Front Vet Sci. (2018) 5:27. doi: 10.3389/fvets.2018.00027

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Schiller I, Waters WR, Vordermeier HM, Nonnecke B, Welsh M, Keck N, et al. Optimization of a whole-blood gamma interferon assay for detection of Mycobacterium bovis-infected cattle. Clin vaccine immunol. (2010) 16:1196–202. doi: 10.1128/CVI.00150-09

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Gerace E, Mandanici F, Pasquali P, Falduto M, Vitale M, Di Marco Lo Presti V, et al. M. bovis infection in pigs: improvement of the γ-IFN assay efficiency in this species using a maintenance medium. Tuberculosis (Edinb). (2018) 108:151–4. doi: 10.1016/j.tube.2017.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Anderson BH, Watson DL, Colditz IG. The effect of dexamethasone on some immunological parameters in cattle. Vet Res Commun. (1999) 23:399–413. doi: 10.1023/A:1006365324335

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Clegg TA, Good M, Doyle M, Duignan A, More SJ, Gormley E. 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) 140:116–21. doi: 10.1016/j.prevetmed.2017.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: tuberculosis, M. bovis, pig, tuberculin skin test, interferon-gamma, intra-vitam diagnosis

Citation: Ippolito D, Fiasconaro M, Pruiti Ciarello F, Aliberti A, Vitale M, Amato B, Pasquali P and Di Marco Lo Presti V (2020) Intra-vitam Diagnosis of Tuberculosis in Pigs: Concordance Between Interferon-Gamma Release Assay and Comparative Tuberculin Skin Test. Front. Vet. Sci. 7:591444. doi: 10.3389/fvets.2020.591444

Received: 04 August 2020; Accepted: 13 November 2020;
Published: 18 December 2020.

Edited by:

Jesus Hernandez, Consejo Nacional de Ciencia y Tecnología (CONACYT), Mexico

Reviewed by:

Anita Luise Michel, University of Pretoria, South Africa
Christian Menge, Friedrich-Loeffler-Institute, Germany

Copyright © 2020 Ippolito, Fiasconaro, Pruiti Ciarello, Aliberti, Vitale, Amato, Pasquali and Di Marco Lo Presti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Flavia Pruiti Ciarello, pruitiflavia@outlook.it

Download