2KwaZulu-Natal Department of Agriculture and Environmental Affairs, Vryheid Regional Veterinary Laboratory, P O Box 96, Vryheid 3100, South Africa
3Mpumalanga Department of Agriculture, Forestry and Fisheries, Standerton Veterinary Office, P O Box 68, Standerton 2430, South Africa
4University of Tromso, The Arctic University of Norway, Department of Arctic and Marine Biology, 9010 Tromso, Norway
Keywords: Bovine brucellosis; brucellin skin test; validation; specificity; sensitivity; vaccination
However, veterinary control is compromised by the chronic nature and the variable incubation period of the disease. It is estimated that up to 15% of cattle in infected herds abort before sero-conversion (Godfroid 2013, pers. comm.). Latency, which involves up to 10% of calves born to infected dams, is another complicating factor as such infected animals tend to test negative to routine serological tests, only to seroconvert in the peri-parturient period. This characteristic of brucellosis offers opportunity for disease spread within and between herds before diagnosis is made. Brucellosis vaccination is a valuable tool to reduce the rate of abortion and limit disease spread within an infected herd. The legislation in South Africa provides for the mandatory brucellosis vaccination of all breeding heifers between the ages of four and eight months, and serological testing from 18 months onwards (Animal Diseases Act, 1984 (Act 35 of 1984)). However, vaccination is not curative when administered to an already infected (including the latently infected) individual, which is likely to abort at first pregnancy regardless of the vaccination status [2]. It follows that failure to identify and remove all infected animals from a herd, even where routine vaccination is practiced, compromises eradication efforts as infection is maintained by this vaccinated but infected group of animals. In addition, the currently used serological tests may be unable to distinguish brucellosis from cross-reacting antibodies from other infections or brucellosis vaccines [10].
The Brucellin Skin Test (BST) is a cell-mediated immune assay which is based on the use of purified and standardised protein allergen, almost completely devoid of lipopolysaccharide. The BST relies on the delayed-type hypersensitivity reaction whose results are interpreted 72 hours post brucellin injection. Therefore an animal is restrained twice: to administer brucellin, and to read the result. While serological tests depend on circulating antibodies where latently infected animals may elude detection, the BST is independent of humoral immunity. Its high specificity in non-vaccinated animals may be exploited to complement serology by assessing both humoral and cellular immunity [28]. The BST is an alternative immunological test recommended by the OIE. The BST has proved a valuable additional test in diagnosing early and latent infections as well as in differentiating brucellosis from cross-reacting organisms in unvaccinated cattle in Europe [4, 9, 30, 32].
The objective of this study was to evaluate the performance of the BST under South African conditions, and investigate whether it can improve the overall sensitivity of the currently used serological testing regimen in identifying infected heifers.
Similarly, in order to identify reference infected animals to constitute the infected control population, all brucellosis exposed animals from the infected herds were subjected to the RBT, CFT and iELISA. In such cases as brucellosis, where no single suitable reference standard exists, it may be prudent to employ a Composite Reference Standard (CRS), where two or more assays with acceptable sensitivity are combined and the individual’s status determined by test agreement [15,18,35]. The CRS in this study employed the RBT, iELISA and the CFT, and the individual status was determined by test agreement of at least two of the three assays.
Kappa, K = (po – pe) / (1 – pe)
(Where, po = observed agreement, and pe = expected agreement).
Following the characterisation of the BST performance, the merit of widening the brucellosis detection window through the parallel use of the BST and serology was investigated by comparing the net positive reactor rate of each combination of BST with one serological test (BST-RBT, BST-CFT, and BST-iELISA) in 843 brucellosis exposed animals.
Among the 843 animals originating from infected herds, 53 (6.3%) reacted positively to the RBT, 58 (6.9%) were positive to CFT, while 126 (14.9%) were positive to iELISA. Seven hundred and thirteen animals did not react to any of the three tests (Figure1 and Table 1).
Sixty three heifers were identified as reference infected (i.e., classified positive by at least two tests), and subsequently constituted the infected reference population for the purpose of validating the BST (Figure 1).
Assay |
Negative |
Positive |
Total tested |
Brucellosis reactor rate (%) |
RBT |
790 |
53 |
843 |
6.3 |
CFT |
785 |
58 |
843 |
6.9 |
iELISA |
717 |
126 |
843 |
14.9 |
Twenty-seven of the 63 reference infected animals were classified as positive by the BST, which resulted in a relative sensitivity of 42.9% (95% CI: 30.5% – 56.0%) (Table 2).
In order to further assess the diagnostic accuracy of the BST relative the CRS, a ROC analysis was performed, yielding a resultant area under the curve of 0.7 (95% CI: 0.6 – 0.8).
In the B. abortus-infected herds (which are not the same as the reference infected animals), 78 animals (9.3%) were classified positive by the BST
Brucellin skin reaction (increase in skin thickness (mm)) |
Total |
|||||
< 0.5 |
0.5 – 1.0 |
1.1 – 1.49 |
1.5 – 2.0 |
> 2.0 |
||
B. abortus free animals |
577 (94.9) |
26 (99.2) |
0 (99.2) |
2 (99.5) |
3 (100) |
608 |
B. abortus infected animals (Cumulative frequency %) |
27 (42.9) |
7 (53.9) |
2(57.1) |
4 (63.5) |
23 (100) |
63 |
The kappa coefficients of agreement were: BST-iELISA (0.45, 95% CI: 0.35 – 0.55), BST-CFT (0.28, 95% CI: 0.14 – 0.42), and BST-RBT (0.27, 95% CI: 0.12 – 0.40); indicating a moderate to fair agreement (Table 4).
Parallel combination of BST with serology yielded net brucellosis reactor rates of: BST-iELISA (18.0%), BST-CFT (13.4%), and BST-RBT (13.1%), respectively (Table 4).
|
BST |
RBT |
CFT |
iELISA |
RBT, CFT, iELISA (any two in agreement) |
Positive reactors |
78 |
53 |
58 |
126 |
63 |
Reactor rate (%) |
9.3 |
6.3 |
6.9 |
14.9 |
7.5 |
BST |
RBT |
CFT |
iELISA |
|||
Pos |
Neg |
Pos |
Neg |
Pos |
Neg |
|
Positive |
21 |
57 |
23 |
55 |
52 |
26 |
Negative |
32 |
733 |
35 |
730 |
74 |
691 |
Total |
53 |
790 |
58 |
785 |
126 |
717 |
Kappa |
0.27 |
0.28 |
0.45 |
|||
95% CI for Kappa |
(0.12 – 0.40) |
(0.14 – 0.42) |
(0.35 – 0.55) |
|||
Total positive (parallel testing) |
110 |
113 |
152 |
|||
Reactor rate (parallel testing) % |
13.1 |
13.4 |
18.0 |
The BST specificity of 99.2% observed in our study was similar to that reported in other studies [22,30,32]. The high BST specificity observed in this study implies a similarly high positive predictive value for this assay [23]. In these circumstances, it is highly likely that the 51(78 less 27 in agreement between CRS and BST) animals positive to the BST, but negative to the CRS, is a reflection of what our gold standard missed, and hence represented truly infected individuals [1]. This observation may be explained by a gold standard which was biased towards animals that had mounted a strong humoral, but not necessarily a strong CMI response to infection. In other words, the CRS employed in our study did not completely eliminate spectrum bias. Among the 78 BST positive animals, eight (10.3%) tested negative to all three sero-assays. The true status the individual animals which tested positive on BST but negative on serology could not be determined within the limitations of this study as it would have required long term follow up serological monitoring. However, the high confidence that these animals were infected but latent to conventional serology come from the high specificity exhibited by the BST in brucellosis free herds under similar environmental conditions.
The BST area under the ROC curve of 0.7 observed in this study is a low to moderate accuracy score [38]. The apparently low BST ROC ratings, despite the high specificity and high reactor rate among infected herds, could be attributed to a CRS which was biased towards strong humoral but not necessarily strong CMI response, and thus not representative of a typical field situation [31].
It has been documented elsewhere that iELISA’s have superior sensitivity to the RBT and CFT [12, 33]. As a consequence, in known infected herds, animals classified positive by iELISA and negative by RBT and/or CFT, should be considered as infected [11]. The results in our study are consistent with this observation. Indeed, BST (9.3%) and iELISA (14.9%) showed higher detection rates in the infected herds, compared to RBT (6.3%) and CFT (6.9%), (Table 4). Agreement between diagnostic tests, as measured by the kappa coefficient, was only fair between BST on one hand, and RBT and CFT (both at 0.3) on the other. The kappa statistic between BST and iELISA was 0.4, indicating a moderate agreement and perhaps reflecting the ability of the iELISA to detect early brucellosis infections [33,36]
Perhaps the most notable finding of this study was the overall improvement in the brucellosis detection rate when the BST was employed in parallel with serology. Following this testing strategy, the BST identified 57, 55, and 26 infected heifers which are in addition to those identified by the RBT, CFT and iELISA, respectively, among the 843 brucellosis exposed animals in the study (Table 4). In the study, parallel pairing of BST-RBT, BST-CFT and BST-iELISA identified combined totals of 110, 113, and 152 infected heifers respectively (Table 4). Other studies [7,36] reported that when applied in parallel, the BST and CFT with specific RB51 antigen detected all animals that had previously been inoculated with RB51 vaccine, more so when serology was applied 10 – 20 days post BST to exploit the anamnestic immune response [34]. Thus to employ the BST-iELISA parallel regimen prior to vaccination and breeding would maximise the detection of B-abortus infected heifers, which otherwise would maintain infection despite vaccination [2, 13, 31]. The authors would like to reiterate that there is no ‘curative’ vaccine registered for animal brucellosis, and assessment of protection in animals infected prior to vaccination is not documented in international scientific literature. Thus, the pre-vaccination withdrawal from breeding of most of the infected animals simultaneously maximises vaccine herd immunity while reducing herd exposure to infection leading to the rapid elimination of brucellosis from an infected herd.
To date, efforts to control brucellosis in South African have largely been unsuccessful. We are of the opinion that apart from an ineffective test and slaughter programme, the limitations of routine serology in the identification of latently infected heifers prior to breeding has contributed immensely to the current brucellosis state in South Africa. The authors believe three possible approaches ought to be considered within each infected herd. The first scenario, which largely mimics the present situation, allows for the vaccination of all pre-breeding heifers without prior testing. This approach will most likely lead to the persistence of the herd infection status owing to the maintenance of a reservoir of infection through the vaccination of infected heifers. The second scenario involves the incorporation of pre-vaccination RBT screening of all pre-breeding heifers, as per the current testing regime. The data in Table 4 show that such an approach may lead to failure because about 50% of infected animals are likely to be misclassified false negative, vaccinated and incorporated into the breeding pool. Consequently, the brucellosis infection status is likely to be maintained. The third scenario involves pre-vaccination screening of all pre-breeding heifers with the BST-iELISA parallel regime. The authors believe the third approach offers the best opportunity to identify and exclude all infected heifers from the breeding pool prior to vaccination. The approach allows only healthy heifers to enter the breeding programme. In turn, high herd immunity coupled with low brucellosis exposure offer the protection levels necessary for the elimination of brucellosis from infected herds.
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