Li Muyang, Li Zhongjie, Deng Ming, Liu Dewu, Sun Baoli, Liu Jianying, Guo Jianchao, Guo Yongqing
College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Agro-Tech Center of Guangdong Province, Guangzhou 510500, China.
Animals (Basel). 2024 Aug 4;14(15):2264. doi: 10.3390/ani14152264.
Bovine mastitis is an inflammatory disease of the mammary glands, and its pathogenesis and diagnosis are complicated. Through qualitative and quantitative analysis of small-molecule metabolites, the metabolomics technique plays an important role in finding biomarkers and studying the metabolic mechanism of bovine mastitis. Therefore, this paper reviews the predictive and diagnostic biomarkers of bovine mastitis that have been identified using metabolomics techniques and that are present in samples such as milk, blood, urine, rumen fluid, feces, and mammary tissue. In addition, the metabolic pathways of mastitis-related biomarkers in milk and blood were analyzed; it was found that the tricarboxylic acid (TCA) cycle was the most significant (FDR = 0.0015767) pathway in milk fluid, and glyoxylate and dicarboxylate metabolism was the most significant (FDR = 0.0081994) pathway in blood. The purpose of this review is to provide useful information for the prediction and early diagnosis of bovine mastitis.
牛乳腺炎是一种乳腺的炎症性疾病,其发病机制和诊断都很复杂。通过对小分子代谢物进行定性和定量分析,代谢组学技术在寻找生物标志物和研究牛乳腺炎的代谢机制方面发挥着重要作用。因此,本文综述了已通过代谢组学技术鉴定出的、存在于牛奶、血液、尿液、瘤胃液、粪便和乳腺组织等样本中的牛乳腺炎预测性和诊断性生物标志物。此外,还分析了牛奶和血液中乳腺炎相关生物标志物的代谢途径;结果发现,三羧酸(TCA)循环是乳汁中最显著(FDR = 0.0015767)的途径,而乙醛酸和二羧酸代谢是血液中最显著(FDR = 0.0081994)的途径。本综述的目的是为牛乳腺炎的预测和早期诊断提供有用信息。