Suppr超能文献

患有和未患指部皮炎奶牛的血清和原料乳中噬菌密螺旋体样抗体的检测

Detection of Treponema phagedenis-like antibodies in serum and bulk milk from cows with and without digital dermatitis.

作者信息

Frössling Jenny, Rosander Anna, Björkman Camilla, Näslund Katarina, Pringle Märit

机构信息

Department of Animal Environment and Health, Swedish University of Agricultural Sciences, Skara, Sweden (Frössling).

Departments of Disease Control and Epidemiology (Frössling), Microbiology (Näslund), and Animal Health and Antimicrobial Strategies (Pringle), National Veterinary Institute, Uppsala, Sweden.

出版信息

J Vet Diagn Invest. 2018 Jan;30(1):86-92. doi: 10.1177/1040638717733778. Epub 2017 Oct 6.

Abstract

Digital dermatitis (DD) in dairy cows is a widespread disease linked to infection with Treponema. The traditional diagnostic method is clinical inspection, which is subjective and laborious. We explored the performance of 4 different immunogenic proteins from Treponema phagedenis in a new antibody ELISA for analysis of serum or milk. Analysis of samples from 390 cows in 25 herds showed that the ELISA could distinguish the majority of cows with DD from healthy cows. By changing the cutoff and applying parallel or serial testing, high sensitivity or specificity could be achieved. The investigation indicated that aggregated test results can be useful in the assessment of a herd's DD status. In addition, analysis of bulk tank milk samples showed good agreement with results from individual cows. The test system could be useful in research on the epidemiology and immunology of DD.

摘要

奶牛的指状皮炎(DD)是一种与密螺旋体感染相关的广泛传播的疾病。传统的诊断方法是临床检查,这种方法主观且费力。我们研究了4种不同的噬菌密螺旋体免疫原性蛋白在一种新型抗体酶联免疫吸附测定(ELISA)中用于分析血清或乳汁的性能。对来自25个牛群的390头奶牛的样本分析表明,该ELISA能够区分大多数患有DD的奶牛和健康奶牛。通过改变临界值并采用平行或系列检测,可以实现高灵敏度或高特异性。调查表明,汇总的检测结果可用于评估牛群的DD状况。此外,对储奶罐牛奶样本的分析与个体奶牛的检测结果具有良好的一致性。该检测系统可用于DD的流行病学和免疫学研究。

相似文献

引用本文的文献

本文引用的文献

5
The reliability of detecting digital dermatitis in the milking parlour.挤奶厅中检测数字皮炎的可靠性。
Vet J. 2012 Sep;193(3):679-84. doi: 10.1016/j.tvjl.2012.06.053. Epub 2012 Aug 6.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验