Zhu Chenglin, Zhang Qian, Zhao Xin, Yang Zhibo, Yang Falong, Yang Yang, Tang Junni, Laghi Luca
College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, China.
College of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu 610041, China.
Animals (Basel). 2023 Feb 19;13(4):741. doi: 10.3390/ani13040741.
Due to huge economic losses to the dairy industry worldwide, mastitis can be considered as one of the most common diseases in dairy cows. This work aimed to study this disease by comparing multiple biological specimens (feces, serum, and urine) from individuals with or without clinical mastitis. This was performed by a single analytical platform, namely H-NMR, through a multi-matrix strategy. Thanks to the high reproducibility of H-NMR, we could characterize 120 molecules across dairy cow feces, serum, and urine. Among them, 23 molecules were in common across the three biofluids. By integrating the results of multi-matrix metabolomics, several pathways pertaining to energy metabolism and amino acid metabolism appeared to be affected by clinical mastitis. The present work wished to deepen the understanding of dairy cow mastitis in its clinical form. Simultaneous analysis of metabolome changes across several key biofluids could facilitate knowledge discovery and the reliable identification of potential biomarkers, which could be, in turn, used to shed light on the early diagnosis of dairy cow mastitis in its subclinical form.
由于乳腺炎给全球乳制品行业造成了巨大经济损失,它可被视为奶牛最常见的疾病之一。这项工作旨在通过比较患有或未患有临床乳腺炎个体的多种生物样本(粪便、血清和尿液)来研究这种疾病。这是通过一个单一的分析平台,即氢核磁共振(H-NMR),采用多基质策略来完成的。由于H-NMR具有高重现性,我们能够对奶牛粪便、血清和尿液中的120种分子进行表征。其中,有23种分子在这三种生物流体中都存在。通过整合多基质代谢组学的结果,一些与能量代谢和氨基酸代谢相关的途径似乎受到临床乳腺炎的影响。本研究希望加深对奶牛临床乳腺炎形式的理解。同时分析几种关键生物流体中的代谢组变化有助于知识发现和可靠鉴定潜在生物标志物,进而可用于揭示奶牛亚临床乳腺炎的早期诊断。