Klevis Haxhiaj, Zhili Li, Mathew R. Johnson, S. M. Dunn, D. Wishart, B. Ametaj
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引用次数: 3
摘要
亚临床乳腺炎(SCM)是奶牛的常见病。目前,体细胞计数(SCC)被用于SCM的诊断。没有预后测试来检测哪些奶牛可能在干枯期发生SCM。因此,本研究的目的是通过靶向质谱(MS)分析,确定在产犊前- 8周和- 4周的干断期,预scm奶牛血清中的代谢变化。15头无任何疾病的奶牛和10头产后仅患SCM的奶牛分别作为对照(CON)和SCM组。结果显示,在预产期前-8周和- 4周,分别有59种和47种代谢物能将CON奶牛和预scm奶牛区分开来(p≤0.05)。回归分析表明,产前- 8周时的4项血清代谢物(AUC = 0.92, p < 0.001)和产前- 4周时的另外4项代谢物(AUC = 0.92, p < 0.01)可作为SCM的预测生物标志物。早期识别易感奶牛可以在疾病发生之前制定更好的预防措施。
Blood Metabolomic Phenotyping of Dry Cows Could Predict the High Milk Somatic Cells in Early Lactation—Preliminary Results
Subclinical mastitis (SCM) is a very common disease of dairy cows. Currently, somatic cell count (SCC) is used for SCM diagnoses. There are no prognostic tests to detect which cows may develop SCM during the dry-off period. Therefore, the objectives of this study were to identify metabolic alterations in the serum of pre-SCM cows during the dry-off period, at −8 and −4 weeks before calving, through a targeted mass spectrometry (MS) assay. Fifteen cows, free of any disease, and 10 cows affected only by SCM postpartum served as controls (CON) and the SCM group, respectively. Results showed 59 and 47 metabolites that differentiated (p ≤ 0.05) CON and pre-SCM cows at –8 and −4 weeks prior to the expected date of parturition, respectively. Regression analysis indicated that a panel of four serum metabolites (AUC = 0.92, p < 0.001) at −8 weeks and another four metabolites (AUC = 0.92, p < 0.01) at −4 weeks prior to parturition might serve as predictive biomarkers for SCM. Early identification of susceptible cows can enable development of better preventive measurements ahead of disease occurrence.