Prediction of Streptococcus uberis clinical mastitis risk using Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) in dairy herds.
Prediction of Streptococcus uberis clinical mastitis risk using Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) in dairy herds.
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使用基质辅助激光解吸时间在乳制品牛群中的飞行质谱（MALDI-TOF MS）的链球菌临床乳腺炎预测。
DOI：
10.1016/j.prevetmed.2017.05.015
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发表时间：
2017-09-01
影响因子：
2.6
通讯作者：
Green MJ
中科院分区：
文献类型：
--
作者：
Archer SC;Bradley AJ;Cooper S;Davies PL;Green MJ
本研究的目的是评估是否可以从特定链球菌菌株的历史存在预测奶牛水平的链球菌临床型乳房炎的风险。奶牛场的奶牛。采用基质辅助激光解吸电离飞行时间质谱法对S.可能具有传染性传播能力的非传染性分离株。来自52个英格兰和威尔士奶牛场的10，652头奶牛在14个月内的数据，以及521株S。来自临床乳腺炎病例的尿液可用于分析。以及与特定S.除了牛种菌株外，其他暴露变量包括母牛产次、泌乳阶段、产奶量和体细胞计数。在整个研究期间，对每头奶牛的观察结果进行纵向组织，每周重复测量一次。在贝叶斯框架中使用多水平逻辑回归模型对数据进行分析。S.分离株之间质谱图谱的相似性。使用来自牛群中乳腺炎的连续临床病例的尿流率来指示传染性表型特征的可能性。交叉验证表明，具有这些特征的新分离株可以单独基于细菌蛋白质质谱特征以90%的准确度鉴定。在这些S。持续性临床型乳腺炎病例随着同一特异性菌株的存在而增加。过去2周内牛群中其他奶牛的乳房。最终的统计模型表明，S的风险将增加2-3倍。与特定菌株相关的持续性临床乳腺炎，如果这些菌株在1周和2周前发生在牛群中。结果提示，S.因此，根据其发生情况进行预测，可作为早期预警监测系统，加强对沙门氏菌的控制。乳房炎
The purpose of this study was to evaluate whether the risk of Streptococcus uberis clinical mastitis at cow level could be predicted from the historical presence of specific strains of S. uberis on dairy farms. Matrix-assisted laser desorption ionization time of flight mass spectrometry was used to identify S. uberis isolates potentially capable of contagious transmission. Data were available from 10,652 cows from 52 English and Welsh dairy farms over a 14 month period, and 521 isolates of S. uberis from clinical mastitis cases were available for analysis. As well as the temporal herd history of clinical mastitis associated with particular S. uberis strains, other exposure variables included cow parity, stage of lactation, milk yield, and somatic cell count. Observations were structured longitudinally as repeated weekly measures through the study period for each cow. Data were analyzed in a Bayesian framework using multilevel logistic regression models. Similarity of mass spectral profiles between isolates of S. uberis from consecutive clinical cases of mastitis in herds was used to indicate potential for contagious phenotypic characteristics. Cross validation showed that new isolates with these characteristics could be identified with an accuracy of 90% based on bacterial protein mass spectral characteristics alone. The cow-level risk in any week of these S. uberis clinical mastitis cases increased with the presence of the same specific strains of S. uberis in other cows in the herd during the previous 2 weeks. The final statistical model indicated there would be a 2–3 fold increase in the risk of S. uberis clinical mastitis associated with particular strains if these occurred in the herd 1 and 2 weeks previously. The results suggest that specific strains of S. uberis may be involved with contagious transmission, and predictions based on their occurrence could be used as an early warning surveillance system to enhance the control of S. uberis mastitis.
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影响因子：
3.5
作者：
Bradley, A. J.;Breen, J. E.;Green, M. J.
通讯作者：
Green, M. J.
影响因子：
3.3
作者：
Goncalves, Juliano Leone;Tomazi, Tiago;dos Santos, Marcos Veiga
通讯作者：
dos Santos, Marcos Veiga
影响因子：
3.5
作者：
Gilchrist, T. L.;Smith, D. G. E.;Fontaine, M. C.
通讯作者：
Fontaine, M. C.
影响因子：
3.5
作者：
Down, P. M.;Green, M. J.;Hudson, C. D.
通讯作者：
Hudson, C. D.
影响因子：
7.5
作者：
Kearns, M;Mansour, Y;Ron, D
通讯作者：
Ron, D