Milk antibodies against Ostertagia ostertagi: relationships with milk IgG and production parameters in lactating dairy cattle

Sánchez, Javier; Markham, R. J. Frederick; Dohoo, Ian R.; Sheppard, Jo‐Ann I.; Keefe, Gregory P.; Leslie, K.E.

doi:10.1016/j.vetpar.2004.01.010

Cited by 45 publications

(42 citation statements)

References 28 publications

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“…Hence, several authors have recommended taking milk yield and parity factors into account when interpreting milk ELISA results instead of using a standard cutoff value (Nielsen et al, 2002b;Sanchez et al, 2004;Lombard et al, 2006;Norton et al, 2010;Nielsen and Toft, 2012). The data presented in our study clearly support the notion that intrinsic milk factors, as well as individual cow factors, influence specific MAP milk ELISA test results and endorse the assumption that total IgG concentration in milk is influenced in a similar way.…”

Section: Discussionsupporting

confidence: 83%

“…A similar characteristic holds true for antibodies against MAP, with the odds of detecting MAP antibodies being 130 times higher at 0 DIM as compared with 4 DIM (Zervens et al, 2013). Furthermore, milk yield was shown to be negatively associated with milk ELISA outcome for MAP but also for Ostertagia ostertagi (Sanchez et al, 2004;Lombard et al, 2006;Nielsen and Toft, 2012). Therefore, it was recommended to include milk yield in the interpretation of ELISA results to enhance its diagnostic value (Sanchez et al, 2004;Nielsen and Toft, 2012).…”

Section: Introductionmentioning

confidence: 78%

“…Furthermore, milk yield was shown to be negatively associated with milk ELISA outcome for MAP but also for Ostertagia ostertagi (Sanchez et al, 2004;Lombard et al, 2006;Nielsen and Toft, 2012). Therefore, it was recommended to include milk yield in the interpretation of ELISA results to enhance its diagnostic value (Sanchez et al, 2004;Nielsen and Toft, 2012). Another research group developed a regression model on serum ELISA results using cowspecific information to enhance the accuracy of diagnosis (Norton et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Another research group developed a regression model on serum ELISA results using cowspecific information to enhance the accuracy of diagnosis (Norton et al, 2010). Longitudinal information about factors influencing the variation of IgG in milk throughout lactation in dairy cows is scarce (Sanchez et al, 2004), especially information regarding the relation of IgG and MAP-specific antibody variation. Therefore, our longitudinal study addressed 3 objectives.…”

Section: Introductionmentioning

confidence: 99%

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A longitudinal study of factors influencing the result of a Mycobacterium avium ssp. paratuberculosis antibody ELISA in milk of dairy cows

Eisenberg

Veldman

Rutten

et al. 2015

Journal of Dairy Science

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The influence of milk yield and milk composition on the diagnosis of Mycobacterium avium ssp. paratuberculosis (MAP) by milk ELISA in the context of the total IgG secretion patterns in milk throughout lactation and serum concentrations were investigated. A 2-yr trial was performed in which 1,410 dairy cows were sampled monthly and MAP milk ELISA status and milk yield and composition were determined. Data were analyzed by mixed model analysis. Milk yield was found to significantly influence ELISA results expressed as sample-to-positive (S/P) ratios. For each 5-kg increase in milk, the S/P ratio has to be multiplied by 0.89; therefore, high milk yield can change the MAP milk ELISA outcome of a cow in early infection from positive to negative. Parity influenced ELISA outcome significantly, indicating that cows with a parity >1 are more likely to be identified by milk testing. Also, herd was an important predictor, showing that herd prevalence influences the milk ELISA strongly. Other factors influencing the S/P ratios were protein concentration, somatic cell count, and days in milk. The IgG concentration and mass excreted per day were determined longitudinally in a subset of 41 cows of which samples and data of a complete lactation were available. Again, the IgG concentration in milk was mainly influenced by milk yield. The total IgG mass secreted per day in milk was found to be relatively constant, with a mean of 8.70 ± 5.38 g despite an increasing IgG concentration in serum at the same time. The variation of IgG concentration in milk can be mainly attributed to dilution through changes in milk yield. This supports the assumption that concentrations of MAP-specific antibodies are influenced by changes in milk yield similarly. In conclusion, we confirmed that antibody concentrations, and therefore MAP ELISA outcome, were influenced by milk yield, herd, and parity. To enhance performance, milk ELISA tests should either be performed in early or late lactation, when milk yield is low. From a management perspective, sampling should be done during early lactation before cows are bred again. Based on the slow progressive infection dynamics, only first-parity cows should be preferentially tested at the end of their first lactation to avoid false-negative results.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A longitudinal study of factors influencing the result of a Mycobacterium avium ssp. paratuberculosis antibody ELISA in milk of dairy cows

Eisenberg

Veldman

Rutten

et al. 2015

Journal of Dairy Science

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“…It has been shown that cow factors such as milk yield, age and days in milk do not greatly influence ODR values and that most of the observed variation is a reflection of the parasite contact in the digestive tract (Sanchez et al, 2004b). This suggests that in both categories there are animals that would benefit from anthelmintic control and that it is useful to test the individual animals.…”

Section: Discussionmentioning

confidence: 99%

A longitudinal survey of anti-Ostertagia ostertagi antibody levels in individual and bulk tank milk in two dairy herds in Normandy

Charlier

Camuset²,

Claerebout

et al. 2007

Research in Veterinary Science

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The Ostertagia-specific antibody levels in milk were monitored in 2 dairy herds to investigate seasonal variations and the relationship between individual and bulk tank milk antibody levels. Bulk tank and individual milk samples from all lactating animals were collected over a 1-year period at weekly and monthly intervals, respectively. The Ostertagia-specific antibody levels were measured with an indirect ELISA and the test results were expressed as optical density ratios (ODR). A clear seasonal pattern that followed the expected intake of infectious larvae was observed in the individual and bulk tank milk antibody levels of both herds. Within each herd, there was a large variation in the individual ODRs. This variation remained large when the distribution of individual ODRs was plotted according to high and low bulk tank milk ODR categories. The results suggest that the effect of seasonal variations on cut-off levels that predict production responses after anthelmintic control, needs to be assessed.

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Bulk tank milk prevalence and production losses, spatial analysis, and predictive risk mapping of Ostertagia ostertagi infections in Mexican cattle herds

et al. 2018

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This study investigated the prevalence, production losses, spatial clustering, and predictive risk mapping in different climate zones in five states of Mexico. The bulk tank milk samples obtained between January and April 2015 were analyzed for antibodies against Ostertagia ostertagi using the Svanovir ELISA. A total of 1204 farm owners or managers answered the questionnaire. The overall herd prevalence and mean optical density ratio (ODR) of parasite were 61.96% and 0.55, respectively. Overall, the production loss was approximately 0.542 kg of milk per parasited cow per day (mean ODR = 0.92, 142 farms, 11.79%). The spatial disease cluster analysis using SatScan software indicated that two high-risk clusters were observed. In the multivariable analysis, three models were tested for potential association with the ELISA results supported by climatic, environmental, and management factors. The final logistic regression model based on both climatic/environmental and management variables included the factors rainfall, elevation, land surface temperature (LST) day, and parasite control program that were significantly associated with an increased risk of infection. Geostatistical kriging was applied to generate a risk map for the presence of parasite in dairy cattle herds in Mexico. The results indicate that climatic and meteorological factors had a higher potential impact on the spatial distribution of O. ostertagi than the management factors.

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Milk antibodies against Ostertagia ostertagi: relationships with milk IgG and production parameters in lactating dairy cattle

Cited by 45 publications

References 28 publications

A longitudinal study of factors influencing the result of a Mycobacterium avium ssp. paratuberculosis antibody ELISA in milk of dairy cows

A longitudinal study of factors influencing the result of a Mycobacterium avium ssp. paratuberculosis antibody ELISA in milk of dairy cows

A longitudinal survey of anti-Ostertagia ostertagi antibody levels in individual and bulk tank milk in two dairy herds in Normandy

Bulk tank milk prevalence and production losses, spatial analysis, and predictive risk mapping of Ostertagia ostertagi infections in Mexican cattle herds

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