Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee 247667, India.
Department of Pathology, College of Veterinary Science and Animal Husbandry, Odisha University of Agriculture and Technology, Bhubaneswar 751003, India.
J Proteomics. 2020 Jul 15;223:103815. doi: 10.1016/j.jprot.2020.103815. Epub 2020 May 11.
Bovine mastitis, caused by Staphylococcus aureus, is a major impediment to milk production and lacks markers to indicate disease progression in cows and buffaloes. Thus, the focus of this study was to identify proteins marking the transition from subclinical to clinical mastitis. Whey proteins were isolated from 6 group's i.e. healthy, subclinical and clinical mastitis of Holstein Friesian cow and Murrah buffalo. Mass spectrometry and statistical analysis (ANOVA and t-tests) were performed on 12 biological samples each from cow and buffalo (4 per healthy, subclinical and clinical mastitis) resulting in a total of 24 proteome datasets. Collectively, 1479 proteins were identified of which significant proteins were shortlisted by a combination of fold change (≤ 0.5 or ≥ 2) and q < 0.05. Of these proteins, 128 and 163 indicated disease progression in cow and buffalo, respectively. Change in expression of haptoglobin and fibronectin from Holstein Friesian while spermadhesin and osteopontin from Murrah correlated with disease progression. Similarly, angiogenin and cofilin-1 were upregulated while ubiquitin family members were downregulated during disease transition. Subsequently, selected proteins (e.g. osteopontin and fibrinogen-α) were validated by Western blots. The results of this study provide deeper insights into whey proteome dynamics and signature patterns indicative of disease progression. BIOLOGICAL SIGNIFICANCE: Bovine mastitis is the most lethal infectious disease causing a huge economic loss in the dairy industry. In an attempt, to understand the dynamics of whey proteome in response to S. aureus infection, whey protein collected from healthy, subclinical and clinical mastitic HF and Mu were investigated. A total of 1479 proteins were identified, of which 128 and 163 had signature pattern in each stage indicative of the progression of the disease. The results of the present study provide a foundation to better understand the complexity of mastitis that will ultimately help facilitate early therapeutic and husbandry-based intervention to improve animal health and milk quality.
奶牛乳腺炎是由金黄色葡萄球菌引起的,是牛奶生产的主要障碍,并且缺乏用于指示奶牛和水牛疾病进展的标志物。因此,本研究的重点是确定标记从亚临床到临床乳腺炎过渡的蛋白质。从荷斯坦弗里森牛和穆拉水牛的 6 组(即健康、亚临床和临床乳腺炎)中分离乳清蛋白。对来自牛和水牛的 12 个生物学样本(每组 4 个,每个健康、亚临床和临床乳腺炎)进行质谱分析和统计分析(ANOVA 和 t 检验),总共得到 24 个蛋白质组数据集。总共鉴定出 1479 种蛋白质,其中通过倍数变化(≤0.5 或≥2)和 q<0.05 的组合对显著蛋白质进行了筛选。在这些蛋白质中,有 128 种和 163 种分别指示牛和水牛的疾病进展。荷斯坦弗里森的触珠蛋白和纤维连接蛋白的表达变化,而穆拉的精子结合素和骨桥蛋白与疾病进展相关。同样,在疾病转变过程中,血管生成素和原肌球蛋白-1上调,而泛素家族成员下调。随后,通过 Western blot 验证了选定的蛋白质(例如骨桥蛋白和纤维蛋白原-α)。这项研究的结果提供了对乳清蛋白质组动力学和指示疾病进展的特征模式的更深入了解。生物学意义:牛乳腺炎是最致命的传染病,给乳制品行业造成巨大的经济损失。本研究试图了解金黄色葡萄球菌感染对乳清蛋白质组的动态影响,因此研究了来自健康、亚临床和临床乳腺炎荷斯坦弗里森和穆拉的乳清蛋白。总共鉴定出 1479 种蛋白质,其中 128 种和 163 种在每个阶段都有特征模式,表明疾病的进展。本研究的结果为更好地理解乳腺炎的复杂性提供了基础,这最终将有助于促进早期的治疗和基于畜牧业的干预,以改善动物健康和牛奶质量。