牛奶中用于奶牛健康监测的免疫生物标志物的发现和验证-来自多组学方法的结果

K. Zoldan, J. Schneider, T. Moellmer, Christiane Fueldner, J. Knauer, M. Fuerll, A. Starke, M. Specht, K. Reiche, J. Hackermueller, S. Kalkhof, M. von-Bergen, U. Bergfeld, R. Fischer, S. Pache, J. Lehmann
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引用次数: 9

摘要

在产奶初期和泌乳初期,高产奶牛由于免疫细胞的功能抑制,最易患炎性疾病。加强对动物的监督是必不可少的,在农场日常工作中实施新技术将是提供自动化和改进畜群健康监测计划的下一步。我们研究的目的是鉴定和验证牛奶中的免疫生物标志物,这些生物标志物表明乳腺外炎症疾病,以表征高产奶牛的一般健康状况。共包括89头健康动物和75头患病动物(德国荷斯坦奶牛)。疾病通过全身性(乳腺外)发生或影响乳腺的疾病(乳腺炎)来区分,并根据其严重程度进一步分类。对于蛋白质生物标志物的发现,我们使用了自上而下的方法来缩小乳细胞转录组(微阵列)和蛋白质组的广泛分泌基因产物的范围,以少数有希望的候选人,并使用实时PCR和ELISA验证。对最有希望的候选生物标志物进行统计评估。受体工作特征分析显示,接触珠蛋白、分泌成分、乳铁蛋白和血管内皮生长因子对患病奶牛和健康奶牛具有最高的区分能力。敏感度为94%的特异性值为:珠蛋白82%,分泌成分59%,乳铁蛋白55%,血管内皮生长因子67%。通过多项逻辑回归和k近邻法进行统计评价,确定了珠蛋白是最佳的一次性生物标志物。与分泌成分或乳铁蛋白结合,根据分类方法的不同,可以提高总体敏感性或特异性。将经过验证的健康生物标志物与简单的高通量检测系统相结合,将为奶牛群管理提供一种解决方案,以适应现代农业对动物福利、养殖效率、牛奶供应和食品安全不断变化的要求。
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Discovery and Validation of Immunological Biomarkers in Milk for Health Monitoring of Dairy Cows - Results from a Multiomics Approach
At onset of milk production and in early lactation highly producing dairy cows are most susceptible for inflammatory diseases due to functional suppression of immune cells. Intensive supervision of the animals is essential and implementation of new technologies to on-farm routines will be the next step to provide automation and improvement of herd health monitoring programs. Objective of our study was to identify and validate immunological biomarkers in milk that indicate extra-mammary inflammatory diseases to characterize the general health status of highly-producing dairy cows. In total 89 healthy and 75 diseased animals (German Holstein cows) were included. Diseases were distinguished by either systemic (extra-mammary) occurrence or those affecting the mammary gland (mastitis) and further classified by their severity. For protein biomarker discovery we used a top-down approach to narrow down a broad range of secreted gene products of the milk cell transcriptome (microarray) and proteome to a few promising candidates which were validated using real-time PCR and ELISA. The most promising biomarker candidates were statistically evaluated. Receiver operating characteristic analysis revealed haptoglobin, secretory component, lactoferrin and vascular endothelial growth factor showing the highest discriminatory capability for diseased vs. healthy cows. Values for sensitivity at a specificity of 94% were 82% for haptoglobin, 59% for secretory component, 55% for lactoferrin and 67% for vascular endothelial growth factor. Statistical evaluation by multinomial logistic regression and k-nearest neighbor method confirmed haptoglobin as the best single-use biomarker. In combination with secretory component or lactoferrin an increase in overall sensitivity or specificity, depending on the classification method, could be achieved. The application of the validated health biomarkers in combination with an easy high-throughput detection system would offer a solution to adapt dairy herd management to changing requirements on animal welfare, farming efficiency, milk supply, and food safety in modern agriculture.
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Recent innovations in Dairy Industry Advances in Dairy Research Range of Diseases Affecting Dairy Cows Editorial on Milk Proteomics Editorial on Pasteurization
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