基于1H-NMR技术的肝癌尿液样品代谢组学研究

目的:探索区分健康对照组与肝癌患者的潜在标志代谢物。方法:运用SIMAC 13.0软件对对数据进行多元分析方法 PCA、PLS及OPLS的方法分析。结果:应用SPSS 21.0统计软件对其数据进行ROC曲线分析,发现肝癌患者在α-葡萄糖、β-葡萄糖和肌酸酐的代谢路径上都发生了一定的异常变化。这3个代谢物拟合综合变量的ROC曲线的AUC值为0.972(灵敏度为90.6%,特异性为92.9%),说明此代谢标记物组具有较高的诊断准确度。结论:α-葡萄糖、β-葡萄糖和肌酸酐可以作为区分健康对照人群与肝癌患者的潜在标志代谢物。

1H-NMR Based Metabonomic Investigation of the Urine of Liver Cancers Patients

ABSTRACT Objective: The purpose of this article was to study the different metabolites of urine between liver cancers and normal group by 1H-NMR technology. Methods: This research analysed the data useing the multivariate analysis method PCA, PLS and OPLS by SIMAC 13.0. Results: SPSS 21.0 statistical software was applied to analyze the ROC curve of the data. The concentration changes of alpha-glucose, beta-glucose and creatinine were found in the metabolic pathways between liver cancers patients and normal group. The AUC value of the ROC curve of the three metabolites fitted with synthetic variables is 0.972(sensitivity is 90.6%, specificity is 92.9%). This metabolic marker group has high diagnostic accuracy. Conclusion: These three urine metabolites can be used as potential marker metabolites to distinguish normal control group and liver cancers patients.