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Association of oxidative stress biomarkers and clinical mastitis incidence in dairy cows during the periparturient period
Journal of Veterinary Research ( IF 1.3 ) Pub Date : 2020-08-12 , DOI: 10.2478/jvetres-2020-0053
George P Laliotis 1 , Panagiota Koutsouli 1 , Kyriaki Sotirakoglou 2 , Giovanni Savoini 3 , Ioannis Politis 1
Affiliation  

Abstract Introduction The aim of this study was to determine changes of reactive oxygen species (ROS), serum antioxidant capacity (SAC), oxidative stress index (OSi), and α-tocopherol (α-T) during the periparturient period in healthy and mastitic cows and to further investigate whether these parameters can be used as a tool for identifying cows at higher risk of developing mastitis. Material and Methods Blood samples from 110 dairy cows from two commercial farms were obtained at dry-off, calving, and 30 days post-partum. Healthy cows formed group A (n = 90) and mastitic cows B (n = 20). Blood serum was obtained by centrifugation, and the aforementioned parameters were determined. A general linear model was used for analysing the associations among the determined blood parameters, the health of the animals’ udder, and the sampling time. Results ROS and OSi values were higher (P < 0.001) by a respective 14% and 26%, and SAC values lower (P < 0.001) by 10% in group B than in group A at calving. ROC curve analysis revealed that all determined parameters at calving and α-T at dry-off and 30 days post-partum had excellent or acceptable predicting ability for mastitis incidence. Conclusion This information provides a tool for early identification of cows at high risk of developing mastitis, allowing the implementation of intervention strategies.

中文翻译:

围产期奶牛氧化应激生物标志物与临床乳腺炎发病率的关系

摘要 介绍 本研究的目的是确定健康和乳腺炎围产期活性氧(ROS)、血清抗氧化能力(SAC)、氧化应激指数(OSi)和α-生育酚(α-T)的变化。奶牛,并进一步研究这些参数是否可以用作识别患乳腺炎风险较高的奶牛的工具。材料和方法 来自两个商业农场的 110 头奶牛的血样在干燥、产犊和产后 30 天采集。健康奶牛组成 A 组 (n = 90) 和乳腺奶牛 B (n = 20)。通过离心获得血清,并确定上述参数。使用一般线性模型来分析确定的血液参数、动物乳房健康和采样时间之间的关联。结果 产犊时,B 组的 ROS 和 OSi 值分别比 A 组高 14% 和 26%(P < 0.001),SAC 值比 A 组低 10%(P < 0.001)。ROC曲线分析显示,所有确定的产犊参数和干燥时和产后30天的α-T对乳腺炎发病率都有很好的或可接受的预测能力。结论 该信息为早期识别患乳腺炎高风险奶牛提供了一种工具,从而可以实施干预策略。
更新日期:2020-08-12
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