A scoping review of the testing of bulk milk to detect infectious diseases of dairy cattle: Diseases caused by bacteria

被引:10
|
作者
Nobrega, Diego B. [1 ,2 ]
French, Julie E. [1 ]
Kelton, David F. [1 ]
机构
[1] Univ Guelph, Ontario Vet Coll, Dept Populat Med, Guelph, ON N1G 2W1, Canada
[2] Univ Calgary, Fac Vet Med, 3330 Hosp Dr NW, Calgary, AB T2N 4N1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
bacteria; bulk milk; dairy cattle; disease surveillance; infectious diseases; AVIUM SUBSP PARATUBERCULOSIS; REAL-TIME PCR; WITHIN-HERD PREVALENCE; SALMONELLA-DUBLIN INFECTION; LINKED-IMMUNOSORBENT-ASSAY; TANK-MILK; BRUCELLA-ABORTUS; STREPTOCOCCUS-AGALACTIAE; STAPHYLOCOCCUS-AUREUS; COXIELLA-BURNETII;
D O I
10.3168/jds.2022-22395
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Testing of bulk milk (BM) samples is a convenient, cost-effective strategy that can easily be implemented as part of disease surveillance programs on dairy farms. Here, we performed a scoping review to summarize the literature reporting on the testing of BM samples to detect infectious diseases of dairy cattle caused by bacteria. We also provide a non-exhaustive, albeit sig-nificant, list of diagnostic tests that are marketed for BM samples, as well as a list of disease surveillance activities that included testing of BM samples. A lit-erature search was carried out in 5 databases, yielding 8,829 records from which 474 were retained. Overall, 575 eligible bacterial pathogens were screened for using BM samples, ranging from 1 to 6 individual pathogens per study. Staphylococcus aureus, including methicillin-resistant Staph. aureus, were the most studied bacteria (n = 179 studies), followed by Streptococcus agalactiae (86), Mycobacterium avium ssp. paratuberculosis (79), Coxiella burnetii (79), and Mycoplasma spp. (67). Over-all, culture-based protocols, ELISA, real-time PCR, and PCR were the most commonly adopted methodologies to screen BM samples. Sensitivity of BM testing for bovine paratuberculosis was generally low and varied greatly according to the ELISA cut-offs adopted and herd-level definition of disease. In general, protocols had low to moderate sensitivities (<50%), which in-creased for herds with high within-herd seroprevalence. Specificity of BM testing for paratuberculosis was gen-erally high. With respect to mastitis pathogens, BM testing demonstrated high sensitivity and specificity for Strep. agalactiae, in general. However, we observed inconsistency among studies with respect to the sensi-tivity of BM culture to detect infected herds, which was notably higher if enrolled herds were heavily infected or had history of clinical disease. Among Salmonella spp. pathogens, Salmonella Dublin was the most fre-quently studied bacterium for which BM testing has been validated. Specificity of BM ELISA was high, ranging from 89.0 to 99.4. In contrast, sensitivity varied greatly among studies, ranging from 50.6% to 100%. Our findings support that one of most important fac-tors affecting sensitivity of BM ELISA for Salmonella Dublin is whether nonlactating cattle are considered in the definition of herd infection status. In general, protocols analyzed in this review suffered from very low sensitivities, which hardly justifies their use as part of disease surveillance as single testing. Nevertheless, test sensitivity can be increased by the adoption of more inclusive definitions of disease-free herds. Further, low-sensitivity and high-specificity methods can be valuable tools for surveillance when used repeatedly over time.
引用
收藏
页码:1986 / 2006
页数:21
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