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ORIGINAL RESEARCH article

Front. Vet. Sci., 10 June 2021
Sec. Veterinary Infectious Diseases
This article is part of the Research Topic Recent Advances in Bovine Tuberculosis View all 17 articles

Evaluation of Three Commercial Interferon-γ Assays in a Bovine Tuberculosis Free Population

\nGiovanni Ghielmetti
Giovanni Ghielmetti1*Patricia LandoltPatricia Landolt1Ute FriedelUte Friedel1Marina MorachMarina Morach2Sonja HartnackSonja Hartnack3Roger StephanRoger Stephan1Sarah SchmittSarah Schmitt1
  • 1Section of Veterinary Bacteriology, Institute for Food Safety and Hygiene, University of Zurich, Zurich, Switzerland
  • 2Institute for Food Safety and Hygiene, University of Zurich, Zurich, Switzerland
  • 3Section of Epidemiology, University of Zurich, Zurich, Switzerland

The interferon-γ assay has been used worldwide as an ancillary test for the diagnosis of bovine tuberculosis (bTB). This study aimed to describe, based on the bTB-free status in Switzerland, the difference of applying a more stringent cutoff point of 0.05 compared with 0.1 for bTB surveillance. Moreover, the effect of time between blood collection and stimulation, culture results, optical density values, and the influence of testing different breeds were evaluated. Blood samples from a total of 118 healthy cows older than 6 months were tested with three commercial interferon-gamma assays. To confirm the bTB-free status of the tested animals and to investigate potential cross-reactions with nontuberculous mycobacteria, pulmonary and abdominal lymph nodes in addition to ileal mucosa from each cattle were used for the detection of viable Mycobacteria spp. by specific culture. Significant differences regarding the proportion of false-positive results between the two Bovigam tests and between Bovigam 2G and ID Screen were found. Samples analyzed with Bovigam 2G were 2.5 [95% confidence interval (CI) 1.6–3.9] times more likely to yield a false-positive test result than samples analyzed with Bovigam TB. Similarly, the odds ratio (OR) for testing samples false-positive with ID Screen compared with Bovigam TB was 1.9 (95% CI 1.21–2.9). The OR for testing false-positive with ID Screen compared with Bovigam 2G was less to equally likely with an OR of 0.75 (95% CI 0.5–1.1). When using a cutoff of 0.05 instead of 0.1, the OR for a false-positive test result was 2.2 (95% CI 1.6–3.1). Samples tested after 6 h compared with a delayed stimulation time of 22–24 h were more likely to yield a false-positive test result with an OR of 3.9 (95% CI 2.7–5.6). In conclusion, applying a more stringent cutoff of 0.05 with the Bovigam 2G kit generates a questionable high number of false-positive results of one of three tested animals. Furthermore, specific breeds might show an increased risk to result false-positive in the Bovigam 2G and the ID Screen assays.

Introduction

Bovine tuberculosis (bTB) is a chronic zoonotic disease caused by Mycobacterium bovis and Mycobacterium caprae (1). Cattle (Bos Taurus) are considered to be the main reservoir of bTB, and eradication programs worldwide focus primarily on this domestic species (2). Although such programs were able to significantly reduce the prevalence of the disease and some industrialized countries are considered to have official bTB-free status, specific geographical areas are still faced with this burden. Despite remarkable public and private efforts, the causes of this failure are multiple, including the varying clinical signs, intrinsic features of these bacteria such as the broad host spectrum and environmental resilience, the transmission modalities, and the absence of accurate antemortem diagnostic test applicable in the field (35).

The standard method for antemortem bTB detection and international trade of cattle is the tuberculin test, which involves the intradermal injection of bovine tuberculin purified protein derivative (PPDB) in the cervical area or the caudal fold of the tail (6). Skinfold thickness at the injection site is measured before and 72 h after PPDB is injected to calculate any increase. In addition, cutaneous reactions such as induration and swelling are evaluated. A more specific variant of the single intradermal test [single intradermal cervical comparative test (SICCT)] involves the additional injection of avian tuberculin (PPDA) into different sites, theoretically enabling distinction between animals infected with bTB and those responding to PPDA as a result of exposure to mycobacteria other than Mycobacterium tuberculosis complex (MTBC) (6). There are numerous known weaknesses associated with tuberculin skin testing, e.g., variations in specificity (Sp) and sensitivity (Se) related to different PPD products or even from batch-to-batch, the subjective injection and measurement ability of the test performer, and the necessity of restraining the animals twice (7, 8).

To overcome some of the mentioned drawbacks, a whole-blood cellular assay using a sandwich enzyme immunoassay (EIA) for the bovine cytokine interferon-gamma (IFN-γ) has been developed and used as a standalone or ancillary test to the intradermal tuberculin test for diagnostic purposes (9, 10). There are numerous advantages of the IFN-γ assay over the skin tests, including that the animals are captured only once, inconclusive tests can be readily repeated, quantification of the lymphocytes reaction to various stimulants is based on optical densities (ODs), and stimulation controls are included. Moreover, the IFN-γ assay may detect bTB-infected animals up to 60–120 days earlier than the single cervical tuberculin test (1113).

The first IFN-γ assay (Bovigam TB, Thermo Fisher Scientific, Reinach, Switzerland) is now Office International des Epizooties-certified as an ancillary assay to the tuberculin test and may be authorized to maximize detection of infected cattle (Council Directive 64/432/ECC), including bTB-freedom certification for animals or products movement purposes and prevalence estimation (14). Switzerland was faced with bTB with two distinct outbreaks in 2013–2014 (15). At the time of writing, these events represent the last detection of M. bovis and M. caprae in domestic or wild animals in Switzerland. Although the first event was caused by the reemergence of an undetected M. bovis strain that circulated in the Swiss cattle population over at least 15 years, the second outbreak originated from cattle infected during summer pasturing in an Austrian endemic area (16, 17). Consequent test and cull measures based primarily on SICCT and comprehensive epidemiological contact-tracing investigation enabled the preservation of the official bTB-free status. Under these circumstances, the IFN-γ assay was used in the late stage of the epidemiological investigations as an ancillary test for non-negative SICCT animals.

In addition to the ongoing slaughterhouse surveillance through postmortem meat inspection, a nationwide monitoring program (LyMON) for early detection of bTB was started in 2013 (18). Meat inspectors were encouraged to submit altered bovine lymph nodes to the bTB reference laboratory for macroscopic inspection and culture for mycobacteria. Over an 8-year period, lymph nodes originated from 793 cows were sliced into thin sections (1–2 mm) and investigated for the presence of lesions compatible with bTB. Suspicious samples (n = 121) were homogenized and tested for the presence of MTBC DNA by real-time polymerase chain reaction (PCR) and cultured in mycobacterial selective media (15). Moreover, in 2014, a red deer monitoring program involving two bordering Swiss Cantons and the Principality of Liechtenstein was implemented (19). Over a 7-year period, retropharyngeal and mediastinal lymph nodes of 1,382 randomly and risk-based selected red deer, such as emaciated individuals or animals killed by motor vehicles, and 33 other wild animals (roe deer, fallow deer, fox, chamois, and Alpine ibex) were investigated macroscopically by trained personnel. Of these, a total of 412 wild animals were additionally tested for the presence of MTBC DNA by real-time PCR and cultured in mycobacterial selective media (15). No further bTB cases were detected after the two mentioned outbreaks in cattle, and although M. caprae is still endemic in the Austrian border region, none of the investigated red deer and other wild animals resulted positive.

Although the described surveillance measures testified that the Swiss population is currently free of bTB, punctual reintroductions through illegal imports or wildlife movements are possible. Therefore, in accordance with the European Food Safety Authority's scientific opinion, EIA cutoff thresholds should be evaluated in each country based on the local epidemiological conditions to ameliorate the accuracy of the IFN-γ assay (20). Hence, these modifications of the laboratory evaluation criteria may affect the Sp and Se of the assay. An estimated median Se of 87.6% (73–100%) and Sp of 96.6% (85–99.6%) were reported for the Bovigam TB kit based on 15 field studies conducted over a 15-year period (7). However, the median Sp value (96.6%) published by de la Rua-Domenech and colleagues (7) differs from the Sp values (6.9–74%) observed in further studies (2123). These discrepancies may be the result of different testing conditions, laboratory procedures, and evaluation criteria and, most of all, may depend on the TB prevalence and the presence of nontuberculous mycobacteria (NTM), leading to cross-reactivity in the tested populations (24). Moreover, the IFN-γ production of specific breeds such as French bullfight cattle has been shown to be significantly lower than classical diary animals (4, 24).

Recently, a new IFN-γ assay has become commercially available (ID Screen Bovine Tuberculosis IFN-γ, IDvet, Grabels, France), and it has already been extensively used in different countries including Switzerland. However, independent evaluations on the test accuracy under field conditions are either not publicly available or scarce, showing low Se (36.7%) when applying the cutoff recommended by the manufacturer or slightly better values (49.0–56.0%) using more stringent cutoff thresholds (25).

In their scientific opinion, the expert panel convened on the use of the IFN-γ test for the diagnosis of bTB highlighted the necessity to harmonize the assay protocol (20). In this regard, various critical points need to be evaluated, such as the time between blood collection and stimulation, antigens used and their concentrations, interpretation criteria including cutoff values, and finally, the inclusion of stimulation control and EIA control. Nevertheless, specific epidemiological conditions, such as exposure to environmental mycobacteria in certain geographical areas, possibly negatively influence the test accuracy (2628).

Besides the members of the MTBC, over 190 species of NTM have been described (www.bacterio.net/mycobacterium.html). Several NTMs are commonly encountered in the environment and have been isolated from a variety of sources, such as water, feed, soil, dust, aerosol, protozoa, and animals, including cattle (29, 30). Of these, more than 60 species are known to be opportunistic pathogenic to humans and other mammals, and human infections with these emerging pathogens are now more common than tuberculosis in industrialized countries (3133).

To avoid cross-reactive immune responses in cattle exposed to NTM, PPDA is injected in the SICCT or included in first-generation IFN-γ assays. However, in geographical areas where the dominant NTM shares epitopes with MTBC members, more specific diagnostic markers have been identified (3436) and implemented in second-generation IFN-γ assays and subsequent versions (37, 38). Among these, antigen cocktails containing the 6-kDa early secretory antigenic target- and 10-kDa culture filtrate protein-derived peptides have gained great importance for their presumptive MTBC specificity (39). Despite earlier evidence to the contrary, orthologs of 6-kDa early secretory antigenic target and 10-kDa culture filtrate protein have now been shown to be present in frequently isolated NTM, such Mycobacterium smegmatis, Mycobacterium kansasii, Mycobacterium persicum, Mycobacterium marinum, Mycobacterium szulgai, Mycobacterium gastri, and Mycobacterium flavescens (34, 4043). The specificity of the available commercial IFN-γ assays is therefore questionable in geographical areas where cattle may be exposed to NTM, influencing the test accuracy. An increased number of false-positive (FP) tested animals can result in reduced stakeholders' acceptance of control measurements, undermining the credibility of the involved authorities.

This study aimed to describe, based on the epidemiological situation (bTB-free status) in Switzerland, the difference of applying a cutoff point of 0.05 compared with 0.1 and considering the ethical implications, i.e., if a more stringent cutoff is ethically acceptable for bTB surveillance and import/export of livestock. Additionally, the effect of time between blood collection and stimulation, culture results, and OD values were evaluated.

Materials and Methods

Selection Criteria and Collection of Blood Samples

From a total of 118 randomly selected healthy cows older than 6 months originating from 101 different premises and 14 Swiss Cantons, two blood samples were collected antemortem. No more than two cows originating from the same premise were included in the study. Three different breeds covered ~90% of the animals, with Holstein/Red Holstein (n = 36) being the most represented group, followed by Swiss Fleckvieh/Simmental (n = 35) and Swiss Brown (n = 32). The remaining animals were Montbéliard (n = 8) Normande (n = 2), one Charolais, one Limousin, and three mixed breeds. Of these, 90% were regularly moved to pastures in mountain regions during the summer months. Before sampling, animals were stabled in the proximity of the abattoir during the morning of the day before being killed, and heparinized blood was collected by trained personnel from the caudal vein ≥3 h after delivering. Each sample was immediately transported unchilled to the laboratory.

Culture and Identification of Mycobacteria

To confirm the bTB-free status of the tested 118 animals and to detect potential cross-reactions with NTM species, a pool of pulmonary lymph nodes (left bronchial and caudal mediastinal) and a pool of intestinal tissues (ileal mucosa and jejunal/cecal lymph nodes) from each cattle were collected immediately after killing. The pulmonary lymph nodes were cultured at 37°C for 8 weeks as described elsewhere (30). The pool of intestinal tissues was cultured at 37°C for 16 weeks on Herrold's Egg Yolk Agar with mycobactin J and ANV (BD, Basel, Switzerland), on BBL Stonebrink agar slants (BD) and on liquid MGIT supplemented with PANTA (BD) and mycobactin J (IDvet) as culture media.

All tubes showing growth of presumptive mycobacterial colonies were investigated for acid-fast bacilli after Ziehl–Neelsen staining. The colonies were identified using matrix-assisted laser desorption/ionization-time of flight mass spectrometry, and presumptive positive Mycobacterium avium subsp. paratuberculosis (MAH) colonies were confirmed by the ID Gene Paratuberculosis Duplex PCR (IDvet). For three isolates, sequencing of two housekeeping genes (hsp65 and 16S rRNA) was performed (30). DNA sequencing was performed at Microsynth (Balgach, Switzerland). The resulting sequences were assembled using CLC Genomics Workbench 7.5.1 (Qiagen), and BLAST similarity searching for multiple sequence alignment was performed (https://blast.ncbi.nlm.nih.gov/Blast.cgi).

Interferon-γ Assays

The commercial IFN-γ kits Bovigam TB (Thermo Fisher Scientific), Bovigam 2G (Thermo Fisher Scientific), and ID Screen Bovine Tuberculosis IFN-γ (ID Screen) were tested for each blood sample according to the manufacturers' instructions. The blood samples were divided into four aliquots and incubated with PPDB, PPDA, both in addition to pokeweed mitogen (PWM) (Prionics, Lelystad, The Netherlands for Thermo Fisher Scientific; CZ Veterinaria, Porriño, Spain for IDvet) and phosphate-buffered saline (NIL) as positive and negative stimulation controls, respectively. Two different stimulations times for each blood sample were performed, and these occurred within 6 and 22–24 h after collection, respectively. Released IFN-γ was measured using the enzyme-linked immunosorbent assay kit provided by the respective manufacturer.

Interpretation of the three kits was performed using the following criteria, with the mentioned ODs representing mean values:

• Criterion 1: positive test outcome = ODPPDB – ODNIL ≥ 0.05 and OD PPDB – OD PPDA ≥ 0.05

• Criterion 2: positive test outcome = ODPPDB – ODNIL ≥ 0.1 and ODPPDB – ODPPDA ≥ 0.1

The results of the ID Screen kit were additionally evaluated using the S/P ratio, as recommended by the manufacturer.

• Positive test outcome: SP = (ODPPDB-ODPPDAODELISA positive control-ODELISA negative control)*100 35%.

To assess the viability of T cells, stimulation with PWM was included for each test, and OD values of samples that not fulfilled the following criteria were interpreted as invalid. For the ID Screen kit, the following interpretation was adopted: ODPWMODELISA positive control - ODELISA negative control0.5, whereas for both Bovigam variants, mean values of ODPWM – ODNIL were supposed to be ≥0.5.

Moreover, animals responding to unspecific stimulation where excluded if their mean ODNIL was ≥0.3.

Statistical Methods

With the aim to assess if the proportion of FP test results (i) differed between the three IFN-γ assays, (ii) was affected by the time elapsed between sampling and stimulation (6 and 22–24 h), (iii) and accounting for two different cutoffs (0.05 and 0.1), a model was fit with generalized estimating equations with the function geeglm from the package geepack in R (44). To account for potential within-animal clustering, an exchangeable correlation was chosen in the marginal model. Adjustment for multiple comparisons between the three IFN-γ assays was performed with Tukey's approach from the multcomp package (45). The resulting effect sizes are presented in the form of odds ratios (ORs) with their corresponding 95% confidence intervals (CIs) and p-values, adjusted for multiple comparisons.

Based on culture outcome, three different groups were defined as follows: MAP (n = 6), MAH (n = 14), and culture-negative animals (n = 94). Responses to PPDA (ODPPDA) of the three groups were investigated for the different kits and stimulation within 6 h using a linear mixed-effects model with animals as a random effect (nlme-package) (46). The differences of the mean ODs PPDA-NIL of the three groups were compared for each kit. In addition, the effect of time between blood collection and stimulation (6 and 22–24 h) on the mean ODPWM values was assessed for the three kits using the same model as for PPDA. Fisher's exact test using GraphPad Prism 9.1.0 (GraphPad Software) was performed to evaluate a possible association between positive test outcome and animal breed for the three major breed groups after 6 h stimulation.

Results

Culture and Identification of Mycobacteria

All the tissue samples were negative for MTBC, whereas NTM was found in 17 of the 118 cultured pulmonary lymph node pools with MAH as the predominant species (n = 14). In the remaining three pools, M. persicum, Mycobacterium lentiflavum, and a member of the Mycobacterium chimaera/intracellulare group were isolated. In six of the 118 intestine tissue pools, MAP was cultured, and one animal was positive for Mycobacterium engbaekii.

Interferon-γ Assays

The test outcomes for each kit, stimulation time, and cutoffs are resumed in Figure 1. The animal positive for M. persicum showed a clear positive result with all three kits, stimulation times, and cutoffs. Cattle tested positive for MAP were negative with all kits and test conditions except for two FP results with the lower cutoff of 0.05 (all three kits). The majority of the MAH-positive animals showed negative results with the IFN-γ assay; only two animals were positive using the stricter cutoff of 0.05 (Bovigam 2G and ID Screen), whereas one animal was also positive using the cutoff of 0.1 and the Bovigam 2G kit.

FIGURE 1
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Figure 1. Mosaic plots for the test outcomes using three different kits (Bovigam TB, Bovigam 2G, ID Screen), stimulation times (6 and 24 h), and cutoffs (0.05, 0.1, S/P ratio). Results are displayed in green and red for negative and positive responses, respectively.

Taken the culture as a gold standard and assuming the likelihood of an MTBC infection in Swiss cattle as very unlikely, every positive test result was assumed to be an FP result. The false-positive rate (FPR) for the three kits, stimulation times, and cutoff were evaluated. The ID Screen kit with the S/P ratio evaluation showed the best performance with an FPR of 2.5% (95% CI 0.8–7.2), independently from the stimulation times. The other two kits showed high amounts of FP results, especially when applying the more stringent cutoff (criterion 1) and the stimulation time of 6 h after blood collection, e.g., FPR 32.7% (95% CI 24.2–41.3) for the Bovigam 2G (Table 1).

TABLE 1
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Table 1. Specificity of the three commercial kits assessed with two different times after stimulation and OD cutoffs. Specificity (95% CI), time after stimulation shown in hours after blood collection, and OD cutoffs including criterion 1 (0.05), criterion 2 (0.1), and S/P ratio for the ID Screen kit were evaluated.

Comparison of Kits, Cutoffs, and Stimulation Time

The applied statistical models enabled a comparison of the three kits, taking into account the two different cutoffs and stimulation times. Based on the results of the generalized equation estimates, significant differences regarding the proportion of FP between the two Bovigam tests and between Bovigam 2G and ID Screen were found. Samples analyzed with Bovigam 2G were 2.5 (95% CI 1.6–3.9) times more likely to yield an FP test result than samples analyzed with Bovigam TB. Similarly, the OR for testing samples FP with ID Screen compared with Bovigam TB was 1.9 (95% CI 1.21–2.9). The OR for testing with ID Screen compared with Bovigam 2G was 0.75 (95% CI 0.5–1.1). When using a cutoff of 0.05 instead of 0.1, the OR for an FP test result was 2.2 (95% 1.6–3.1). For samples with a stimulation time of 6 h compared with 22–24 h, the OR of testing FP was 3.9 (95% CI 2.7–5.6).

Culture Outcome and ODPPDA Values

The OD values in response to PPDA of the MAP-(n = 6) and MAH-(n = 14) infected animals were compared with the corresponding values of the culture-negative animals. No significant variation could be observed between the three groups (p = 0.166). Because the number of animals with MAP is low, this result should be considered with caution due to power.

Stimulation Time and ODPWM Values

Delay in blood stimulation (22–24 h) caused a significant reduction of the mean ODPWM obtained. This phenomenon was particularly evident for the ID Screen kit (overall mean ODPWM6h 2.94 and ODPWM22−24h 2.36). The smallest effect of time stimulation was observed for the Bovigam TB kit (overall mean ODPWM6h 1.40 and ODPWM22−24h 1.29); this kit had the lowest mean OD values and also the most invalid results (n = 10; 8.5%) compared with the other two kits (Table 1). The Bovigam 2G kit had two invalid results because of low mean ODPWM22−24h values (overall mean ODPWM6h 2.58 and ODPWM22−24h 2.17), by contrast, five invalid result for this kit were observed due to high mean ODNIL6h/22−24h values (≥0.3). Using the described interpretation criteria, the ID Screen kit showed one invalid result due to a high mean ODNIL6h value (≥0.3) in one animal.

Association Between Positive Test Outcome and Animal Breed Groups

Three major animal breed groups were investigated, with Holstein/Red Holstein (n = 36) being the most represented group, followed by Swiss Fleckvieh/Simmental (n = 35) and Swiss Brown (n = 32). As shown in Figure 2, by using a 0.1 cutoff and the Bovigam 2G kit, animals classified as Swiss Brown were more likely to test positive compared with Swiss Fleckvieh/Simmental (37.50 and 14.29%, respectively, P < 0.05). This difference was even more evident by applying the more stringent 0.05 cutoff, with 43.75 and 17.14% positive Swiss Brown and Swiss Fleckvieh/Simmental, respectively (P < 0.05). The opposite effect was observed by using the ID Screen kit (0.1 cutoff), with 25.71% of the Swiss Fleckvieh/Simmental animals resulting positive compared with 3.13% of the Swiss Brown. This phenomenon was exacerbated by applying the more stringent 0.05 cutoff, with 45.71 and 6.25% positive Swiss Fleckvieh/Simmental and Swiss Brown, respectively (P < 0.001). No statistically significant difference was observed between the test outcome and the three breed groups for the Bovigam TB kit.

FIGURE 2
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Figure 2. Test percent-positive rates for the three major breed groups. Data are shown as a positive percentage of each breed group for the tested kits at 6 h stimulation. Fisher's exact test was used to evaluate the different groups. *P < 0.05; ***P < 0.001.

Discussion

According to the Swiss technical instruction for bTB, the IFN-γ assay is applied in specific epidemiologically relevant situations where the intradermal tuberculin skin test leads to inconclusive results. Cattle are the major livestock species in Switzerland, with roughly 1.5 million animals (Federal Statistical Office, census 2019). Approximately two-thirds of the Swiss cattle industry is dedicated to dairy production, and the average lifespan of a dairy cow in Switzerland is 6.2 years, giving birth on average 3.7 calves in a lifetime (47).

The agents causing bTB have been isolated from numerous different domestic and wild animal species, with the latter possibly covering long distances and spreading the disease (48, 49). This results in continuous interspecies transmissions from wild animals to livestock and vice versa, hindering national and international eradication programs (16, 5052). Badger (Meles meles), free-ranging red deer (Cervus elaphus), and wild boar (Sus scrofa) are the most relevant known wild animals acting as a reservoir of bTB in Europe.

Accuracy of the IFN-γ assay for diagnosis of bTB varies considerably according to the literature and depends on the epidemiological settings of the tested population, the laboratory procedure, and the evaluation criteria adopted. The use of more stringent cutoff thresholds can increase the Se of the assay but may negatively influence the Sp. To date, different evaluation criteria, including thresholds, are currently used by European Member States (20). In our hands, statistically significant differences were observed for the different kits concerning the test outcome (Bovigam TB vs. Bovigam 2G and ID Screen vs. Bovigam TB), whereas the mean OD values in response to PPDA of the three culture groups (MAP, MAH, and culture-negative animals) showed no statistically significant differences.

Delay in the stimulation of the blood samples >6–8 h has been described to negatively affect IFN-γ assay performance, significantly decreasing ODs of tuberculin skin-test reactor and non-reactor animals (9, 53). The mentioned delay was deliberately included in the project to simulate a sample delivery overnight in comparison with immediate blood stimulation. Statistically significant reduction of the OD values obtained from samples PWM-stimulated within 6 h and after 22–24 h was observed for all three kits tested in the present study. This is in line with previous observations in cattle and goats (53, 54) and could negatively affect the Se of the assay due to the reduction of viable T cells in the sample.

As previously shown for M. kansasii (55), exposure to M. persicum may lead to FP results, independently from the assay used, whereas, based on the present findings, MAH and MAP seem to play a minor role in the cross-reaction. Hence, contrary to our expectations, no significant effect on the PPDA median OD values was observed between the three groups (MAP, MAH, and culture-negative) analyzed. This may be due to previous contacts of the negative culture group with mycobacteria sharing common antigens with those included in the PPDA cocktail. Among these, MAH, a ubiquitous environmental saprophyte frequently isolated from water, soil, and various animal species, including cattle, is to be mentioned and possibly plays a crucial role (30, 56).

Similar to M. kansasii, M. persicum shows marked homologies in surface protein expression, e.g., CFP-10 and ESAT-6, to MTBC members (42). Based on these findings, the inclusion of more specific antigens as proposed by second-generation assays may not overcome cross-reactivity issues due to NTM.

Alarming high amounts of FP results were observed using the two Bovigam assays, especially when applying the more stringent cutoff (criterion 1) and the stimulation time of 6 h after collection. For instance, using the Bovigam 2G kit, an FPR of 32.7% (95% CI 24.2–41.3) was determined, meaning that one-third of the tested animals are supposed to be classified as positive, although MTBC was not cultured in the tested population.

According to the manufacturer's recommendations, 8.5% (n = 10) and 5.9% (n = 7) of the cattle showed an invalid result when blood samples were stimulated 22–24 h after collection and tested with the Bovigam TB and the Bovigam 2G, respectively. For the ID Screen kit, one invalid result was observed. Under realistic conditions, an invalid result would require an additional farm visit for blood sample collection, resulting in increased time and cost efforts. Previous reports showed that the collection of blood samples before stunning or even at the commencement of exsanguination is a reliable method for accessing bTB infection using the IFN-γ assay (57). A negative effect on the IFN production due to holding and handling procedures in the present study, however, cannot be excluded (24). Thus, the number of invalid results should be interpreted with caution.

Genetic influence of the breed and the outcome of the SICCT test have been reported (58). A similar impact on the Bovigam TB test result, however, has only been demonstrated in particular cases (4). Although the present findings need further confirmation with larger animal numbers, specific breeds might show an increased risk to result in FP in the Bovigam 2G and the ID Screen assays, whereas, in accordance with previous observations (59), this was not seen for the Bovigam TB kit.

Epidemiological aspects, such as farming conditions, have been shown to play a pivotal role in the antemortem bTB diagnostic (4, 24). Swiss cattle spend the summer months grazing on Alpine and pre-Alpine pastures, possibly resulting in prolonged close contact with environmental NTM. Considering the particular epidemiological context of the present study, similar low individual Sp values of the IFN-γ assay were observed in neighboring countries such as France and Germany (22, 23). This suggests that the observed local cross-reactivity of NTM and possibly the negative effect on the assay due to specific breeds may not be restricted to Switzerland.

In conclusion, the general application of the IFN-γ assay and, in particular, the use of more stringent interpretation criteria should be carefully evaluated. Under specific settings such as testing animals originating from herds with bTB-positive cases or import from endemic areas, the assay ensures the detection of additional infected animals and, in some cases, permits their earlier recognition compared with the tuberculin test (12). In the authors' opinion, despite the unsatisfactory Sp observed in the present study, interpretation criteria should be adapted depending on the epidemiological context. For bTB-epidemiologically linked herds, Se should be prioritized over Sp, applying the more stringent cutoff. Conversely, for surveillance purposes within a cattle population with low bTB prevalence, however, Sp should be prioritized using a more suitable cutoff or an alternative test. Within the context of a notifiable and zoonotic disease such as bTB, however, culling of infected animals to stop the spread of the causative pathogen and to reduce animal suffering is considered necessary for disease control. Preemptive culling and culling due to compromised welfare due to transport restrictions raised ethical concerns. These concerns are resumed in the EU directive 2003/85/EC: “One of the Community's tasks in the veterinary field is to improve the state of health of livestock, thereby increasing the profitability of livestock farming and facilitating trade in animals and animal products. At the same time the Community is also a Community of values, and its policies to combat animal diseases must not be based purely on commercial interests but must also take genuine account of ethical principles” (46). Still, it is not clear what according to the EU legislation is meant by “taking ethical principles into genuine account.” One possible approach to gain clarity is to consider three standard ethical principles, which are respect for well-being, autonomy, and fairness or justice (47). Thus, the ethical question here is to assess if applying a more stringent cutoff for IFN-γ tests negatively affects the well-being, autonomy, and fairness of cows, farmers, and other potential stakeholders. Although the arbitrary value of the culled animals is currently reimbursed by the Swiss Government, the individual value of single animals for their farmers is often higher and results from decades of meticulous genetic selection. Briefly sketched, when applying a more stringent cutoff threshold, the well-being of the cows and the farmers will be affected because—based on the present OR of 2.2 (95% CI 1.6–3.1)—the odds or chance of an FP test result is two times more likely when reducing the cutoff from 0.1 to 0.05. A harmonized or generally prescribed cutoff of 0.05—irrespective of the local epidemiological situation, which is determined by the local prevalence of bovine TB, the occurrence of other cross-reacting NTM, and the tested cattle breed—might affect the principle of autonomy, presumably mostly relevant for the local veterinary authorities. As cows living in geographical areas with a higher occurrence of certain NTM species, they might be more likely to obtain an FP test result, which would affect the principle of fairness and justice. Briefly summarized, following the principles approach, the general application of a stringent cutoff of 0.05 compared with 0.1 is ethically questionable. Still, based on the results of our study, with a cutoff of 0.1 and the stimulation time of 6 h, the point estimates of the specificities of ID Screen and Bovigam 2G are below 90%. For the purpose of illustration, in an epidemiological setting with a true TB prevalence of 10%, assumed test sensitivity and specificity of 95 and 90%, the probability that a cow with a positive test result is truly infected is 51%. If the true prevalence is 5%, this probability is reduced to 33.3%.

Modifying the cutoff with the aim to increase the specificity is also not a feasible solution, as this would potentially lead to a decrease in sensitivity. A potential TB outbreak might be detected later, affecting subsequently more cows, causing more welfare losses in both cows and farmers. The application of a more stringent cutoff during the clarification of an outbreak may result in a significantly high number of animals with negative postmortem tests, such as RT-PCR or culture, greatly diminishing the reliability of positive IFN-γ results and consequently the long-term compliance of farmers. Based on our results regarding the proportion of FP and the presence of NTM potentially causing FP test results, we suggest evaluating the IFN-γ assay in light of the local epidemiological situation (20). Thus, a better understanding of the local epidemiological situation, including the identification of breeds that are more likely to react FP with specific test assay, is crucial. Monitoring programs such as LyMON provide essential data on the possible reoccurrence of bTB, and the present findings highlight an alarmingly high number of FP reactors. Moreover, transparency of data generated from surveillance studies is essential for the establishment of an international standard based on OD-values.

Within the context of One Health, the well-being, autonomy, and fairness of the involved parties such as dairy farmers, consumers, and cows should be considered. Among others, single aspects including food safety, animal welfare, and the intrinsic value of animals are some of the interests to be evaluated before more stringent diagnostic tests are officially approved.

Conclusion

The application of a more stringent threshold leads to a questionable high number of FP results. Depending on the epidemiological context, including cross-reactive NTM in specific geographic areas, expected bTB prevalence, consequences of a positive test, the tested cattle breed, and the assay threshold should be carefully selected. If necessary, the inclusion of more specific antigens is to be considered.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

All animals included in this study were sampled in accordance with the Swiss Act SR 455. The animal testing was approved by the Animal Welfare Committee of the Canton of Zurich under license number ZH185/18.

Author Contributions

GG, SS, and RS designed and coordinated the study. PL, MM, GG, and UF performed the experiments. SH and GG conceived and carried out the statistical analyses. GG, SS, and SH drafted the manuscript. All authors read and approved the final manuscript.

Funding

This study was partially supported by the Swiss Federal Food Safety and Veterinary Office under project number 1.18.04.

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 would like to thank Marianne Schneeberger, Ella Hübschke, and Fenja Rademacher for their support. We thank Thermo fisher Scientific for kindly providing the kits (Bovigam TB and Bovigam 2G) free of charge.

References

1. More S, Botner A, Butterworth A, Calistri P, Depner K, Edwards S, et al. Assessment of listing and categorisation of animal diseases within the framework of the animal health law (Regulation (EU) No2016/429): bovine tuberculosis. EFSA J. (2017) 15. doi: 10.2903/j.efsa.2017.4959

PubMed Abstract | CrossRef Full Text | Google Scholar

2. World Organisation for Animal Health. Bovine Tuberculosis. (2020). Available online at: https://www.oie.int/en/disease/bovine-tuberculosis/ (accessed April 27, 2021).

Google Scholar

3. Buddle BM, Mackintosh CG. Improving the diagnosis of bovine tuberculosis in farmed deer. Vet Rec. (2017) 180:66–7. doi: 10.1136/vr.j270

PubMed Abstract | CrossRef Full Text | Google Scholar

4. 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

5. Kelley HV, Waibel SM, Sidiki S, Tomatis-Souverbielle C, Scordo JM, Hunt WG, et al. Accuracy of two point-of-care tests for rapid diagnosis of bovine tuberculosis at animal level using non-invasive specimens. Sci Rep. (2020) 10:5441. doi: 10.1038/s41598-020-62314-2

PubMed Abstract | CrossRef Full Text | Google Scholar

6. World Organisation for Animal Health. Manual of Diagnostic Tests and Vaccines for Terrestrial Animals. (2019). Available online at: https://www.oie.int/en/what-we-do/standards/codes-and-manuals/terrestrial-manual-online-access/ (accessed April 27, 2021).

Google Scholar

7. 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 | Google Scholar

8. 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 IFN gamma assay (Bovigam) in a low prevalence area in France. Vet Microbiol. (2011) 151:60–7. doi: 10.1016/j.vetmic.2011.02.026

CrossRef Full Text | Google Scholar

9. Rothel JS, Jones SL, Corner LA, Cox JC, Wood PR. A sandwich enzyme-immunoassay for bovine interferon-gamma and its use for the detection of tuberculosis in cattle. Aust Vet J. (1990) 67:134–7. doi: 10.1111/j.1751-0813.1990.tb07730.x

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Wood PR, Jones SL. BOVIGAM (TM): an in vitro cellular diagnostic test for bovine tuberculosis. Tuberculosis. (2001) 81:147–55. doi: 10.1054/tube.2000.0272

CrossRef Full Text | Google Scholar

11. Buddle BM, Delisle GW, Pfeffer A, Aldwell FE. Immunological responses and protection against Mycobacterium bovis in calves vaccinated with a low-dose of BCG. Vaccine. (1995) 13:1123–30. doi: 10.1016/0264-410X(94)00055-R

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Gormley E, Doyle MB, Fitzsimons T, McGill K, Collins JD. Diagnosis of Mycobacterium bovis infection in cattle by use of the gamma-interferon (Bovigam) assay. Vet Microbiol. (2006) 112:171–9. doi: 10.1016/j.vetmic.2005.11.029

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lilenbaum W, Schettini JC, Souza GN, Ribeiro ER, Moreira EC, Fonseca LS. Comparison between a gamma-IFN assay and intradermal tuberculin test for the diagnosis of bovine tuberculosis in field trials in Brazil. J Vet Med B Infect Dis Vet Public Health. (1999) 46:353–8. doi: 10.1111/j.1439-0450.1999.tb01240.x

PubMed Abstract | CrossRef Full Text | Google Scholar

14. World Organisation for Animal Health. OIE Procedure for Registration of Diagnostic Kits. (2015). Available online at: https://www.oie.int/fileadmin/Home/eng/Our_scientific_expertise/docs/pdf/OIE_Register_Bovigam_Abstract_v1_05.2015.pdf (accessed April 27, 2021).

Google Scholar

15. Ghielmetti G, Scherrer S, Friedel U, Frei D, Suter D, Perler L, et al. Epidemiological tracing of bovine tuberculosis in Switzerland, multilocus variable number of tandem repeat analysis of Mycobacterium bovis and Mycobacterium caprae. PLoS ONE. (2017) 12:e0172474. doi: 10.1371/journal.pone.0172474

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Fink M, Schleicher C, Gonano M, Prodinger WM, Pacciarini M, Glawischnig W, et al. Red deer as maintenance host for bovine tuberculosis, Alpine region. Emerg Infect Dis. (2015) 21:464–7. doi: 10.3201/eid2103.141119

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Schoepf K, Prodinger WM, Glawischnig W, Hofer E, Revilla-Fernandez S, Hofrichter J, et al. A two-years' survey on the prevalence of tuberculosis caused by Mycobacterium caprae in red deer (Cervus elaphus) in the Tyrol, Austria. ISRN Vet Sci. (2012) 2012:245138. doi: 10.5402/2012/245138

PubMed Abstract | CrossRef Full Text | Google Scholar

18. FSVO FFSaVO. LyMON – Lymphknoten-Monitoring bei Rindern am Schlachthof. (2020). Available online at: https://www.blv.admin.ch/blv/de/home/tiere/tiergesundheit/frueherkennung/lymon.html (accessed April 27, 2021).

Google Scholar

19. FSVO FFSaVO. Gesundheitsmonitoring Wild. (2020). Available online at: https://www.blv.admin.ch/blv/de/home/tiere/tiergesundheit/frueherkennung/gm-wild.html (accessed April 27, 2021).

Google Scholar

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

CrossRef Full Text | Google Scholar

21. Buddle BM, McCarthy AR, Ryan TJ, Pollock JM, Vordermeier HM, Hewinson RG, et al. Use of mycobacterial peptides and recombinant proteins for the diagnosis of bovine tuberculosis in skin test-positive cattle. Vet Rec. (2003) 153:615–20. doi: 10.1136/vr.153.20.615

PubMed Abstract | CrossRef Full Text | Google Scholar

22. 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

23. Pucken VB, Knubben-Schweizer G, Dopfer D, Groll A, Hafner-Marx A, Hormansdorfer S, et al. Evaluating diagnostic tests for bovine tuberculosis in the southern part of Germany: a latent class analysis. PLoS ONE. (2017) 12:e0179847. doi: 10.1371/journal.pone.0179847

PubMed Abstract | CrossRef Full Text | Google Scholar

24. 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. (2009) 16:1196–202. doi: 10.1128/CVI.00150-09

PubMed Abstract | CrossRef Full Text | Google Scholar

25. de la Cruz ML, Branscum AJ, Nacar J, Pages E, Pozo P, Perez A, et al. Evaluation of the performance of the IDvet IFN-Gamma test for diagnosis of bovine tuberculosis in Spain. Front Vet Sci. (2018) 5:229. doi: 10.3389/fvets.2018.00229

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hermansen TS, Thomsen VO, Lillebaek T, Ravn P. Non-tuberculous mycobacteria and the performance of interferon gamma release assays in Denmark. PLoS ONE. (2014) 9:e93986. doi: 10.1371/journal.pone.0093986

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Jenkins AO, Gormley E, Gcebe N, Fosgate GT, Conan A, Aagaard C, et al. Cross reactive immune responses in cattle arising from exposure to Mycobacterium bovis and non-tuberculous mycobacteria. Prev Vet Med. (2018) 152:16–22. doi: 10.1016/j.prevetmed.2018.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Michel AL. Mycobacterium fortuitum infection interference with Mycobacterium bovis diagnostics: natural infection cases and a pilot experimental infection. J Vet Diagn Invest. (2008) 20:501–3. doi: 10.1177/104063870802000415

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Falkinham JO 3rd. Environmental sources of nontuberculous mycobacteria. Clin Chest Med. (2015). 36:35–41. doi: 10.1016/j.ccm.2014.10.003

CrossRef Full Text | Google Scholar

30. Ghielmetti G, Friedel U, Scherrer S, Sarno E, Landolt P, Dietz O, et al. Non-tuberculous mycobacteria isolated from lymph nodes and faecal samples of healthy slaughtered cattle and the abattoir environment. Transbound Emerg Dis. (2018) 65:711–8. doi: 10.1111/tbed.12793

PubMed Abstract | CrossRef Full Text | Google Scholar

31. 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

32. Griffith DE, Aksamit T, Brown-Elliott BA, Catanzaro A, Daley C, Gordin F, et al. An official ATS/IDSA statement: diagnosis, treatment, and prevention of nontuberculous mycobacterial diseases. Am J Respir Crit Care Med. (2007) 175:367–416. doi: 10.1164/rccm.200604-571ST

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tortoli E. Microbiological features and clinical relevance of new species of the genus Mycobacterium. Clin Microbiol Rev. (2014) 27:727–52. doi: 10.1128/CMR.00035-14

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Arend SM, de Haas P, Leyten E, Rosenkrands I, Rigouts L, Andersen P, et al. ESAT-6 and CFP-10 in clinical versus environmental isolates of Mycobacterium kansasii. J Infect Dis. (2005) 191:1301–10. doi: 10.1086/428950

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Lein AD, von Reyn CF, Ravn P, Horsburgh CR, Alexander LN, Andersen P. Cellular immune responses to ESAT-6 discriminate between patients with pulmonary disease due to Mycobacterium avium complex and those with pulmonary disease due to Mycobacterium tuberculosis. Clin Diagn Lab Immunol. (1999) 6:606–9. doi: 10.1128/CDLI.6.4.606-609.1999

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Schiller I, Waters RW, Vordermeier HM, Jemmi T, Welsh M, Keck N, et al. Bovine tuberculosis in Europe from the perspective of an officially tuberculosis free country: trade, surveillance and diagnostics. Vet Microbiol. (2011) 151:153–9. doi: 10.1016/j.vetmic.2011.02.039

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Aagaard C, Govaerts M, Meikle V, Vallecillo AJ, Gutierrez-Pabello JA, Suarez-Guemes F, et al. Optimizing antigen Cocktails for detection of Mycobacterium bovis in herds with different prevalences of bovine tuberculosis: ESAT6-CFP10 mixture shows optimal sensitivity and specificity. J Clin Microbiol. (2006) 44:4326–35. doi: 10.1128/JCM.01184-06

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Hoffmann H, Avsar K, Gores R, Mavi SC, Hofmann-Thiel S. Equal sensitivity of the new generation QuantiFERON-TB Gold plus in direct comparison with the previous test version QuantiFERON-TB Gold IT. Clin Microbiol Infect. (2016) 22:701–3. doi: 10.1016/j.cmi.2016.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Millington KA, Fortune SM, Low J, Garces A, Hingley-Wilson SM, Wickremasinghe M, et al. Rv3615c is a highly immunodominant RD1 (Region of Difference 1)-dependent secreted antigen specific for Mycobacterium tuberculosis infection. Proc Natl Acad Sci U S A. (2011) 108:5730–5. doi: 10.1073/pnas.1015153108

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Colangeli R, Spencer JS, Bifani P, Williams A, Lyashchenko K, Keen MA, et al. MTSA-10, the product of the Rv3874 gene of Mycobacterium tuberculosis, elicits tuberculosis-specific, delayed-type hypersensitivity in guinea pigs. Infect Immun. (2000) 68:990–3. doi: 10.1128/IAI.68.2.990-993.2000

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Harboe M, Oettinger T, Wiker HG, Rosenkrands I, Andersen P. Evidence for occurrence of the ESAT-6 protein in Mycobacterium tuberculosis and virulent Mycobacterium bovis and for its absence in Mycobacterium bovis BCG. Infect Immun. (1996) 64:16–22. doi: 10.1128/IAI.64.1.16-22.1996

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Scherrer S, Landolt P, Friedel U, Stephan R. Distribution and expression of esat-6 and cfp-10 in non-tuberculous mycobacteria isolated from lymph nodes of slaughtered cattle in Switzerland. J Vet Diagn Invest. (2019) 31:217–21. doi: 10.1177/1040638718824074

PubMed Abstract | CrossRef Full Text | Google Scholar

43. van Ingen J, de Zwaan R, Dekhuijzen R, Boeree M, van Soolingen D. Region of difference 1 in nontuberculous Mycobacterium species adds a phylogenetic and taxonomical character. J Bacteriol. (2009) 191:5865–7. doi: 10.1128/JB.00683-09

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Halekoh U, Hojsgaard S, Yan J. The R package geepack for generalized estimating equations. J Stat Softw. (2006) 15:1–11. doi: 10.18637/jss.v015.i02

CrossRef Full Text | Google Scholar

45. Hothorn T, Bretz F, Westfall P. Simultaneous inference in general parametric models. Biom J. (2008) 50:346–63. doi: 10.1002/bimj.200810425

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Pinheiro J, Bates D, DebRoy S, Sarkar D, R Core Team (2020). Available online at: https://CRAN.R-project.org/package=nlme (accessed April 27, 2021).

Google Scholar

47. Scharrer S, Presi P, Hattendorf J, Chitnis N, Reist M, Zinsstag J. Demographic model of the Swiss cattle population for the years 2009-2011 stratified by gender, age and production type. PLoS ONE. (2014) 9:e109329. doi: 10.1371/journal.pone.0109329

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Gortazar C, Torres MJ, Vicente J, Acevedo P, Reglero M, de la Fuente J, et al. Bovine tuberculosis in donana 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

49. Rodwell TC, Whyte IJ, Boyce WM. Evaluation of population effects of bovine tuberculosis in free-ranging African buffalo (Syncerus caffer). J Mammal. (2001) 82:231–8. doi: 10.1644/1545-1542(2001)082&lt;0231:EOPEOB&gt;2.0.CO;2

CrossRef Full Text | Google Scholar

50. Atkins PJ, Robinson PA. Bovine tuberculosis and badgers in Britain: relevance of the past. Epidemiol Infect. (2013) 141:1437–44. doi: 10.1017/S095026881200297X

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Garcia-Jimenez WL, Cortes M, Benitez-Medina JM, Hurtado I, Martinez R, Garcia-Sanchez A, et al. Spoligotype diversity and 5-year trends of bovine tuberculosis in extremadura, southern Spain. Trop Anim Health Prod. (2016) 48:1533–40. doi: 10.1007/s11250-016-1124-4

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Nigsch A, Glawischnig W, Bago Z, Greber N. Mycobacterium caprae infection of red deer in Western Austria-optimized use of pathology data to infer infection dynamics. Front Vet Sci. (2019) 5:350. doi: 10.3389/fvets.2018.00350

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Gormley E, Doyle MB, McGill K, Costello E, Good M, Collins JD. The effect of the tuberculin test and the consequences of a delay in blood culture on the sensitivity of a gamma-interferon assay for the detection of Mycobacterium bovis infection in cattle. Vet Immunol Immunopathol. (2004) 102:413–20. doi: 10.1016/j.vetimm.2004.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Bezos J, Alvarez J, Juan L, Romero B, Rodriguez S, Castellanos E, et al. Factors influencing the performance of an interferon-gamma assay for the diagnosis of tuberculosis in goats. Vet J. (2011) 190:131–5. doi: 10.1016/j.tvjl.2010.09.026

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Waters WR, Palmer MV, Thacker TC, Payeur JB, Harris NB, Minion FC, et al. Immune responses to defined antigens of Mycobacterium bovis in cattle experimentally infected with Mycobacterium kansasii. Clin Vaccine Immunol. (2006) 13:611–9. doi: 10.1128/CVI.00054-06

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Lahiri A, Kneisel J, Kloster I, Kamal E, Lewin A. Abundance of Mycobacterium avium ssp. hominissuis in soil and dust in Germany - implications for the infection route. Lett Appl Microbiol. (2014) 59:65–70. doi: 10.1111/lam.12243

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Okafor CC, Grooms DL, Bolin SR, Averill JJ, Kaneene JB. Evaluation of the interferon-gamma assay on blood collected at exsanguination of cattle under field conditions for surveillance of bovine tuberculosis. Transbound Emerg Dis. (2014) 61:E68–75. doi: 10.1111/tbed.12080

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Amos W, Brooks-Pollock E, Blackwell R, Driscoll E, Nelson-Flower M, Conlan AJ. Genetic predisposition to pass the standard SICCT test for bovine tuberculosis in British cattle. PLoS ONE. (2013) 8:e58245. doi: 10.1371/journal.pone.0058245

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Gormley E, Doyle M, Duignan A, Good M, More SJ, Clegg TA. Identification of risk factors associated with disclosure of false positive bovine tuberculosis reactors using the gamma-interferon (IFN gamma) assay. Vet Res. (2013) 44:117. doi: 10.1186/1297-9716-44-117

CrossRef Full Text | Google Scholar

Keywords: cattle, bovine tuberculosis, diagnosis, interferon-gamma assay, Mycobacterium bovis, Mycobacterium avium subsp paratuberculosis, Mycobacterium avium subsp hominissuis, Mycobacterium persicum

Citation: Ghielmetti G, Landolt P, Friedel U, Morach M, Hartnack S, Stephan R and Schmitt S (2021) Evaluation of Three Commercial Interferon-γ Assays in a Bovine Tuberculosis Free Population. Front. Vet. Sci. 8:682466. doi: 10.3389/fvets.2021.682466

Received: 18 March 2021; Accepted: 29 April 2021;
Published: 10 June 2021.

Edited by:

Christophe J. Queval, Francis Crick Institute, United Kingdom

Reviewed by:

Dirk Werling, Royal Veterinary College (RVC), United Kingdom
Maria Laura Boschiroli, Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail (ANSES), France

Copyright © 2021 Ghielmetti, Landolt, Friedel, Morach, Hartnack, Stephan and Schmitt. 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: Giovanni Ghielmetti, giovanni.ghielmetti@vetbakt.uzh.ch

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