Department of Biochemistry, Molecular Biology, Entomology, and Plant Pathology, Mississippi State University, Mississippi State, MS, 39762, USA.
Department of Chemistry, Mississippi State University, Mississippi State, MS, 39762, USA.
Sci Rep. 2023 Feb 15;13(1):2671. doi: 10.1038/s41598-023-29234-3.
Each year, bovine respiratory disease (BRD) results in significant economic loss in the cattle sector, and novel metabolic profiling for early diagnosis represents a promising tool for developing effective measures for disease management. Here, H-nuclear magnetic resonance (H-NMR) spectra were used to characterize metabolites from blood plasma collected from male dairy calves (n = 10) intentionally infected with two of the main BRD causal agents, bovine respiratory syncytial virus (BRSV) and Mannheimia haemolytica (MH), to generate a well-defined metabolomic profile under controlled conditions. In response to infection, 46 metabolites (BRSV = 32, MH = 33) changed in concentration compared to the uninfected state. Fuel substrates and products exhibited a particularly strong effect, reflecting imbalances that occur during the immune response. Furthermore, H-NMR spectra from samples from the uninfected and infected stages were discriminated with an accuracy, sensitivity, and specificity ≥ 95% using chemometrics to model the changes associated with disease, suggesting that metabolic profiles can be used for further development, understanding, and validation of novel diagnostic tools.
每年,牛呼吸道疾病(BRD)都会给牛业造成重大经济损失,而新型代谢组学分析为早期诊断提供了有希望的工具,有助于开发有效的疾病管理措施。在这里,我们使用 H 核磁共振(H-NMR)谱来描述从雄性奶牛犊(n = 10)的血浆中采集的代谢物,这些奶牛犊是故意感染两种主要的 BRD 病原体——牛呼吸道合胞体病毒(BRSV)和溶血曼海姆菌(MH)的,以在受控条件下生成明确的代谢组学图谱。结果发现,与未感染状态相比,有 46 种代谢物(BRSV = 32,MH = 33)的浓度发生了变化。燃料底物和产物表现出特别强烈的影响,反映了免疫反应过程中发生的失衡。此外,使用化学计量学对与疾病相关的变化进行建模,能够以 95%以上的准确率、灵敏度和特异性区分来自未感染和感染阶段的 H-NMR 光谱,这表明代谢图谱可用于进一步开发、理解和验证新型诊断工具。