University of Bristol Veterinary School, Langford House, Langford, Bristol, BS40 5DU, UK.
Nottingham Trent University, Brackenhurst Lane, Southwell, NG25 0QF, UK.
BMC Res Notes. 2021 Dec 24;14(1):469. doi: 10.1186/s13104-021-05888-y.
The use of benchtop metabolic profiling technology based on nuclear magnetic resonance (NMR) was evaluated in a small cohort of cats with a view to applying this as a viable and rapid metabolic tool to support clinical decision making.
Urinary metabolites were analysed from four subjects consisting of two healthy controls and two chronic kidney disease (CKD) IRIS stage 2 cases. The study identified 15 metabolites in cats with CKD that were different from the controls. Among them were acetate, creatinine, citrate, taurine, glycine, serine and threonine. Benchtop NMR technology is capable of distinguishing between chronic kidney disease case and control samples in a pilot feline cohort based on metabolic profile. We offer perspectives on the further development of this pilot work and the potential of the technology, when combined with sample databases and computational intelligence techniques to offer a clinical decision support tool not only for cases of renal disease but other metabolic conditions in the future.
评估基于核磁共振（NMR）的台式代谢组学技术在一小部分猫中的应用，以期将其作为一种可行且快速的代谢工具来支持临床决策。
从四只研究对象（两只健康对照和两只慢性肾病（CKD）IRIS 阶段 2 病例）的尿液代谢物进行了分析。该研究在 CKD 猫中鉴定出 15 种与对照不同的代谢物。其中包括乙酸盐、肌酸酐、柠檬酸、牛磺酸、甘氨酸、丝氨酸和苏氨酸。台式 NMR 技术能够根据代谢谱区分慢性肾病病例和对照组的猫。我们对这项初步工作的进一步发展以及该技术的潜力提出了看法，当与样本数据库和计算智能技术相结合时，该技术将来不仅可为肾脏疾病病例，还可为其他代谢疾病病例提供临床决策支持工具。
