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对用于检测奶牛传染病的原料奶检测的范围综述:由细菌引起的疾病

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

作者信息

Nobrega Diego B, French Julie E, Kelton David F

机构信息

Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, N1G 2W1, Canada.

Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, N1G 2W1, Canada.

出版信息

J Dairy Sci. 2023 Mar;106(3):1986-2006. doi: 10.3168/jds.2022-22395. Epub 2023 Jan 27.

Abstract

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 significant, 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 literature 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). Overall, 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 increased for herds with high within-herd seroprevalence. Specificity of BM testing for paratuberculosis was generally 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 sensitivity 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 frequently 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 factors 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.

摘要

对散装牛奶(BM)样本进行检测是一种便捷且经济高效的策略,作为奶牛场疾病监测计划的一部分,很容易实施。在此,我们进行了一项范围综述,以总结报告检测BM样本以检测奶牛细菌性传染病的文献。我们还提供了一份虽不详尽但很重要的用于BM样本的诊断检测清单,以及一份包括检测BM样本的疾病监测活动清单。在5个数据库中进行了文献检索,共获得8829条记录,从中保留了474条。总体而言,使用BM样本筛查了575种合格的细菌病原体,每项研究筛查1至6种个体病原体。金黄色葡萄球菌,包括耐甲氧西林金黄色葡萄球菌,是研究最多的细菌(n = 179项研究),其次是无乳链球菌(86项)、副结核分枝杆菌亚种(79项)、伯氏考克斯体(79项)和支原体属(67项)。总体而言,基于培养的方案、酶联免疫吸附测定(ELISA)、实时聚合酶链反应(PCR)和PCR是筛查BM样本最常用的方法。BM检测牛副结核病的敏感性一般较低,且根据所采用的ELISA临界值和牛群水平的疾病定义差异很大。一般来说,检测方案的敏感性较低至中等(<50%),对于牛群内血清阳性率高的牛群,敏感性会增加。BM检测副结核病的特异性一般较高。关于乳腺炎病原体,BM检测总体上对无乳链球菌表现出高敏感性和特异性。然而,我们观察到不同研究在BM培养检测感染牛群的敏感性方面存在不一致性,如果纳入的牛群感染严重或有临床疾病史,敏感性明显更高。在沙门氏菌属病原体中,都柏林沙门氏菌是BM检测已得到验证的研究最多的细菌。BM ELISA的特异性较高,范围为89.0%至99.4%。相比之下,不同研究的敏感性差异很大,范围为50.6%至100%。我们的研究结果支持,影响BM ELISA检测都柏林沙门氏菌敏感性的最重要因素之一是在牛群感染状态的定义中是否考虑非泌乳牛。一般来说,本综述中分析的检测方案敏感性非常低,几乎没有理由将其作为疾病监测的单一检测方法使用。然而,通过采用更具包容性的无病牛群定义,可以提高检测敏感性。此外,低敏感性和高特异性的方法在长期重复使用时可成为有价值的监测工具。

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