Standardisation of an indirect enzyme linked. of Brucella antibodies in milk from water buffalo

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Veterinaria Italiana, 2011, 47 (1), 59 64 Standardisation of an indirect enzyme linked immunosorbent assay for the detection of Brucella antibodies in milk from water buffalo Manuela Tittarelli, Barbara Bonfini, Fabrizio De Massis, Armando Giovannini & Massimo Scacchia Summary An indirect enzyme linked immunosorbent assay (ELISA) was evaluated for the detection of Brucella antibodies in milk from water buffalo (Bubalus bubalis Linnaeus, 1758). The test accuracy was evaluated on milk from the Campania Region in Italy. A total of 100 negative were collected from 10 officially brucellosis free herds in Salerno Province, while 30 positive were collected from 3 herds in Caserta Province, where animals gave positive results to the official tests and it was here that Brucella abortus biovar 1 had been isolated. Test sensitivity was 100%, with a confidence interval (CI) of 90.8% 100%, while specificity was 98% (CI 93% 99.4%) on individual milk. To simulate bulk milk from herds infected at various levels of infection, dilutions from 1:10 to 1:100 of positive milk in negative milk were also used. The probability of detecting antibodies in positive milk was higher than 50% up to a dilution of 1:50 in negative milk. Considering the average national water buffalo herd size, the probability of identifying infection in a water buffalo herd by bulk milk testing is 50% (CI 33.1% 66.9%) in the worst case scenario of a single infected animal contributing to the bulk milk. Keywords Brucella abortus, Brucellosis, Control, ELISA, Enzyme linked immunosorbent assay, Italy, Milk, Water buffalo. Introduction The regulations in force for the eradication of brucellosis in buffalo and bovines in Italy (7) are based on serological testing that need to be conducted twice a year in individual blood using the Rose Bengal test (RBT) and complement fixation test (CFT). For water buffalo (Bubalus bubalis Linnaeus, 1758), special control measures applied in Italian regions with high prevalence of animal brucellosis (i.e. Calabria, Campania, Apulia and Sicily) include the use of milk testing as a complement to serological tests (8). Milk testing should be performed periodically, in accordance with the guidelines of the National Brucellosis Task Force, so as to increase the sensitivity of the control system in place. In this context, the use of an indirect enzymelinked immunosorbent assay (ELISA) for the detection of Brucella antibodies on water buffalo bulk milk (m ELISA) can increase the sensitivity of the diagnostic system. Moreover, besides the intrinsic high sensitivity of ELISA tests, the simplicity of milk ELISAs also means Istituto Zooprofilattico Sperimentale dell Abruzzo & del Molise G. Caporale, Via Campo Boario, 64100 Teramo, Italy m.tittarelli@izs.it Istituto G. Caporale 2011 www.izs.it/vet_italiana Vol. 47 (1), Vet Ital 59

Standardisation of an indirect enzyme linked immunosorbent assay Manuela Tittarelli, Barbara Bonfini, Fabrizio De Massis, that repeated checks can be made, which also may increase the sensitivity of the system as well as the chances for early detection of brucellosis outbreaks. In a previous study (2), the authors presented the results of development and validation of an ELISA method for bulk cattle milk, which was standardised according to the requirements set by Annex C of European Commission Regulation (EC) 535/2002 dated 21 March 2002 (3). The aim of this study was to standardise the m ELISA already described for cattle on milk from water buffalo (2), as well as to identify the cut off point, sensitivity and specificity of the test in relation to water buffalo. In field activities, milk testing is not normally performed on individual milk but rather on bulk milk. Therefore, in order to simulate bulk milk from herds infected at various levels of infection, dilutions from 1:10 to 1:100 of positive milk in negative milk were used, in accordance with the method described in previous studies (2, 8). Materials and methods Milk Negative milk were collected from 100 animals from 10 officially brucellosis free water buffalo herds located in the Salerno Province of Italy. These animals gave negative results to both the RBT and CFT performed according to the recommendations of the Manual of diagnostic tests and vaccines for terrestrial animals of the World Organisation of Animal Health (Office International des Épizooties: OIE) (13). Positive milk were collected from 30 animals placed in three infected herds located in Caserta Province. Brucella abortus biovar 1 had previously been isolated from each one of these herds. All milk were stored at 20 C until tested. Using the method described in previous studies (2, 9), these 30 from infected animals were tested at various dilutions in negative milk, from dilutions 1:10 to 1:100, to simulate the sensitivity of the method when used on bulk milk. Reference standards Strong positive (C++) and weak positive (C+) reference standard controls were produced by adding purified water buffalo gamma globulin serum (from an infected animal) in a pool of negative milk. The negative reference standard control (C ) was produced with bulk milk sampled from officially brucellosis free water buffalo herds. Milk donors all gave negative results to serological tests (RBT and CFT) performed in accordance with the recommendations provided in the Manual (13). The standardisation of m ELISA kit was performed according to Commission Decision 2008/984/EC of 10 December 2008 (4), using the OIESS strong, weak positive and negative standard sera, diluted in negative milk. Standard reference controls were freezedried in bottles, each containing 1.5 ml. Milk enzyme linked immunosorbent assay Microplates NUNC immuno TM Plate PolySorp TM Surface (NUNC TM, Roskilde) were used for the m ELISA. Plates were coated with 100 μl per well of smooth lipopolysaccharide (s LPS) antigen diluted in buffer carbonatebicarbonate 0.06 M ph 9.6 and incubated overnight at room temperature. Plates were then washed with buffered saline 0.01 M (phosphate buffered saline: PBS) + 0.05% Tween 20, ph 7.2 (PBS Tween: PBST). Plates were then saturated with 200 μl PBS + 1% yeast extract, incubated for 1 h at room temperature and then washed again. Each sample was tested in duplicate using 100 μl of milk per well. After incubation and washing, 100 μl per well of monoclonal bovine IgG antibody conjugated with peroxidase were added. After further incubation for 30 min at 37 C and washing with PBST, 100 μl of TMB (3,3ʹ,5,5ʹ tetramethyl benzidine) (Sigma, St Louis, Missouri) substrate were added and plates were incubated for 30 min at room temperature. Finally, the reaction was stopped with 50 μl of sulphuric acid 0.5N. Optical density 60 Vol. 47 (1), Vet Ital www.izs.it/vet_italiana Istituto G. Caporale 2011

Manuela Tittarelli, Barbara Bonfini, Fabrizio De Massis, Standardisation of an indirect enzyme linked immunosorbent assay (OD) was measured using a microplate reader with a wavelength of 450 nm. The results of, expressed as a percentage of positivity (PP), were calculated using the mean OD values, with the following equation: milk sample OD mean (C ) OD mean PP = 100 (C++) OD mean (C ) OD mean. Demographic data Demographic data on Italian water buffalo populations were collected from the Italian National Livestock Data Bank (BDN: Banca Dati Nazionale). Statistical analysis The optimal cut off value was determined using a receiver operating characteristic (ROC) curve (5, 10), using the PP values of tested milk. The cut off value obtained was then used to calculate the positive/negative threshold. Milk were classified as positive if their PP value was greater or equal to the positive/negative threshold, and as negative if the PP value was below the positive/negative threshold. The repeatability and reproducibility of the method, expressed as CV%, were determined by analysing 33 and 66 replicates of a positive sample, respectively. For the analysis of each level of dilution, a Bayesian inference approach was applied (11, 12). The 95% Bayesian credibility intervals (CI) of sensitivity were calculated for each dilution level. The results of the Bayesian inference were evaluated in relation to the application of the test in Italian field conditions, considering the ranges of herd size, the expected number of milking animals contributing to the bulk milk and the prevalence in the worst case hypothesis of a single infected milking buffalo in the herd. A logistic regression analysis model was used to model the probability of obtaining a positive result in relation to the log of milk dilutions. The number of positive and negative results was used as the output variable and the logit of milk dilution as the predictive variable. The goodness of fit of the model was evaluated with the method of Osius and Rojek (6). Results The calculation of the ROC curve provided a cut off value of 17.1 PP, for which the sensitivity and specificity of the m ELISA resulted 100% (CI 90.8% 100%) and 98% (CI 93% 99.4%), respectively (Figs 1 and 2). Sensitivity/specificity value 100% 80% 60% 40% 20% 0% -15 5 25 45 65 85 105 125 145 165 185 205 225 245 265 285 305 325 345 365 385 Percentage of positivity value Specificity Sensitivity Figure 1 Receiver operating characteristic (ROC) curve of milk enzyme-linked immunosorbent assays on 100 negative and 30 positive individual milk Percentage positivity value 450 400 350 300 250 200 150 100 50 0-50 cut-off Cut-off positive Positive negative Negative Figure 2 Percentage positivity (PP) values distribution of milk enzyme-linked immunosorbent assays on 100 negative and 30 positive individual milk (Cut-off point = 17.1) The distribution of uncertainty due to the sample size, for sensitivity and specificity, are shown in Figures 3 and 4, respectively. The tests of repeatability and reproducibility resulted in a value of 2.6% for repeatability and 2.9% for reproducibility. Istituto G. Caporale 2011 www.izs.it/vet_italiana Vol. 47 (1), Vet Ital 61

Standardisation of an indirect enzyme linked immunosorbent assay Manuela Tittarelli, Barbara Bonfini, Fabrizio De Massis, Confidence 0.3 0.25 0.2 0.15 0.1 0.05 0 0% 20% 40% 60% 80% 100% Sensitivity Percentage of correctly identified 100% 80% 60% 40% 20% 0% 1:1 1:20 1:40 1:60 1:80 1:100 Reciprocal dilution Figure 3 Sensitivity of milk enzyme-linked immunosorbent assays on ten positive milk 0.30 Figure 5 Results of dilutions of 30 individual positive milk (Percentage of correctly identified as positive by milk enzyme-linked immunosorbent assay and 95% confidence intervals) Confidence 0.25 0.20 0.15 0.10 0.05 0.00 0% 20% 40% 60% 80% 100% Specificity The probability of obtaining a positive result by increasing the sample dilution (individual positive milk ) followed a logistic regression model defined by an intercept (β0) = 4.152 (standard error [SE] = 0.68; p<0.001) and a log dilution (β1) = 2.59 (SE = 0.402; p<0.001) (Fig. 6). The model was significant to deviance analysis (p<0.001), as well as to the goodness of fit evaluation (p = 0.388). Figure 4 Specificity of milk enzyme-linked immunosorbent assays on 100 negative milk The results of dilutions in negative milk of the 30 milk from single infected animals, expressed as a percentage of correctly identified as positive at the given dilution, are shown in Table I and Figure 5, together with 95% CI. The results of dilutions of milk show that the probability of detecting antibodies is 50% (CI 33.1% 66.9%) up to a dilution of 1:50. Discussion and conclusions Special control measures applied in Italian regions with high prevalence of animal brucellosis (i.e. Calabria, Campania, Apulia and Sicily) consider the use of milk testing for water buffalo, in addition to the already compulsory serological testing (8). Milk testing should be performed periodically, in accordance with the guidelines of the National Brucellosis Task Force, in order to increase the sensitivity of the control system in place. Table I Percentage of positive milk correctly identified by the milk enzyme-linked immunosorbent assay at various dilution, with 95% upper and lower confidence levels Dilution 1:1 1:10 1:20 1:30 1:40 1:50 1:60 1:70 1:80 1:90 1:100 UCL 100% 90% 75% 73% 73% 67% 61% 61% 51% 41% 34% % 100% 80% 60% 57% 57% 50% 43% 43% 33% 23% 17% LCL 91% 63% 42% 39% 39% 33% 27% 27% 19% 12% 7% UCL 95% upper confidence level LCL 95% lower confidence level 62 Vol. 47 (1), Vet Ital www.izs.it/vet_italiana Istituto G. Caporale 2011

Manuela Tittarelli, Barbara Bonfini, Fabrizio De Massis, Standardisation of an indirect enzyme linked immunosorbent assay p 10 0.8 0.6 0.4 0.2 0.0 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Log (Dil) the autonomous province of Bolzano and a maximum of 180 animals in Campania (Fig. 7), the average probability of detecting a positive herd at national level using m ELISA, where a single infected animal is present and contributes to the bulk milk, is 50% (CI 33.1% 66.9%), ranging from 100% (CI 90.8% 100%) in Bolzano to 33.3% (CI 19.2% 51.4%) in Campania. Figure 6 Logistic regression model (and 95% confidence intervals) of individual positive milk dilutions in negative milk and probability of positive result to the milk enzyme-linked immunosorbent assay To comply with these special rules, the National Reference Centre for Brucellosis, has standardised a test for brucellosis in milk from water buffalo (m ELISA), using a method described by De Massis et al. (2). The m ELISA, when used on milk from individual infected animals, has a sensitivity of 100%. It is necessary to clarify, however, that the value of sensitivity should be interpreted taking into account the broad range of confidence in the distribution of positive results (CI 90.8% 100%). Indeed, in field activities, one of the major advantages of using the ELISA is that it can be used with bulk milk and therefore it is important to define the effects of milk sample dilutions on test performances. When performed on diluted, the m ELISA resulted in a sensitivity value of 50% (CI 33.1% 66.9%) at a dilution of 1:50 (Table I, Fig. 5). The probability of identifying the infection in a single animal by bulk milk testing is higher than 50% up to a dilution of 1:50. This scenario would also represent the worst case of a single infected milking water buffalo in a herd in which 50 water buffalo are lactating. However, considering the fertility rate observed experimentally in water buffalo (46.7%; CI 38.9% 54.6%) by Campanile et al. (1), this scenario would mean bulk milk testing in a herd of 107 animals (CI 92 129 animals). Considering that the average Italian water buffalo herd size in October 2010 was of 121 animals, with a minimum of one animal in Mean number of buffalo per farm 0 1-50 51-100 101-150 151-180 Figure 7 Distribution of number of water buffalo by herd in the regions of Italy However, the simplicity of milk ELISAs enables the performance of repeated checks which may also increase the sensitivity of the diagnostic system in place, as well as the chances for early detection of brucellosis outbreaks. Further studies are required to estimate the increase in sensitivity of the diagnostic system through repeating bulk milk sampling over time. Acknowledgments 300 km Our gratitude is extended to Romolo Salini for his valuable assistance in the statistical analysis. Istituto G. Caporale 2011 www.izs.it/vet_italiana Vol. 47 (1), Vet Ital 63

Standardisation of an indirect enzyme linked immunosorbent assay Manuela Tittarelli, Barbara Bonfini, Fabrizio De Massis, References 1. Campanile G., Neglia G., Grassi C., Gasparrini B., Di Palo R. & Zicarelli G. 2005. Influence of body condition score, blood ammonia and serum urea levels on conception rate in Italian Mediterranean buffaloes. Ital J Anim Sci, 4, 313-315. 2. De Massis F., Bonfini B., Zaghini M. & Tittarelli M. 2005. Evaluation of an indirect ELISA for the detection of Brucella antibodies in cow s milk. Vet Ital, 41, 90-96 (www.izs.it/vet_italiana/2005/41_2/90.pdf accessed on 21 December 2010). 3. European Commission (EC) 2002. Commission Regulation No. 535/2002 of 21 March 2002 amending Annex C to Council Directive 64/432/EEC and amending Decision 2000/330/EC. Off J, L 080, 23.03.2002, 22-28 (eur-lex.europa.eu/lexuriserv/lexuriserv.do?uri=oj:l:2002:080:0022:0028:en:pdf accessed on 21 December 2010). 4. European Commission (EC) 2008. Commission Decision 2008/984/EC of 10 December 2008 amending Annex C to Council Directive 64/432/EEC and Decision 2004/226/EC as regards diagnostic tests for bovine brucellosis. Off J, L 352, 31.12.2008, 38-45 (eur-lex.europa.eu/lexuriserv/ LexUriServ.do?uri=OJ:L:2008:352:0038:0045:en:pdf accessed on 21 December 2010). 5. Gardner I.A. & Greiner M. 1999. Advanced methods for test validation and interpretation in veterinary medicine. Freie Universitat Berlin, 74 pp. 6. Hosmer D.W. & Lemeshow S. 2000. Applied logistic regression, 2nd Ed. John Wiley & Sons, New York, 373 pp. 7. Italian Ministry of Health 1994. Decreto Ministeriale 27 agosto 1994, n. 651. Regolamento concernente il piano nazionale per la eradicazione della brucellosi negli allevamenti bovini. Gazz Uff, 277, 26 November 1994. 8. Italian Ministry of Health 2006. Ordinanza del Ministero della Salute 14 novembre 2006. Misure straordinarie di polizia veterinaria in materia di tubercolosi, brucellosi bovina e bufalina, brucellosi ovi-caprina, leucosi in Calabria, Campania, Puglia e Sicilia. Gazz Uff, 285, 7 December 2006. 9. Nielsen K., Smith P., Gall D., Perez B., Cosma C., Mueller P., Trottier J., Cote G., Boag L. & Bosse J. 1996. Development and validation of an indirect enzyme immunoassay for detection of antibody to Brucella abortus in milk. Vet Microbiol, 52, 165-173. 10. Siegel S. & Castellan N.J. 1988. Nonparametric statistics for the behavioral sciences, 2nd Ed. McGraw-Hill, New York, 312 pp. 11. Sivia D.S. 1996. Data analysis. A Bayesian tutorial. Clarendon Press, Oxford, 189 pp. 12. Vose D. 2000. Risk analysis: a quantitative guide, 2nd Ed. John Wiley & Sons, Chichester, 418 pp. 13. World Organisation for Animal Health (Office International des Épizooties: OIE) 2010. Manual of diagnostic tests and vaccines for terrestrial animals. OIE, Paris (www.oie.int/eng/normes/mmanual/ a_summry.htm accessed on 20 December 2010). 64 Vol. 47 (1), Vet Ital www.izs.it/vet_italiana Istituto G. Caporale 2011