基于气相色谱-质谱联用和图模型分析的脂代谢异常患者血浆代谢组学研究

利用气相色谱-质谱联用技术(GC-MS)和图模型分析方法,寻找脂代谢异常患者可能的血浆代谢标志物群。采用GC-MS技术对37例脂代谢异常患者和10例健康人的血浆样品进行分析,得到血浆代谢物的表达谱。偏最小二乘-判别分析(Partial least squares-discriminant analysis,PLS-DA)得分图可区分脂代谢异常患者与健康人,运用PLS-DA载荷图及t检验发现有9个代谢物在两组间存在显著性差异。经NIST谱库检索,它们分别为缬氨酸、甘氨酸、丙氨酸、焦谷氨酸、葡萄糖醛酸、半乳糖、甘露糖、亚油酸和甘油。在脂代谢异常患者血浆中,除甘油浓度显著高于健康人外,其余8种代谢物浓度均明显低于健康人。图模型分析结果发现这些代谢物与脂代谢异常临床常用诊断指标之间具有很好的相关性。它们可能是脂代谢异常疾病早期诊断和预后新的特异性代谢标志物群。

Study of Metabolic Biomarkers in Plasma of Patients with Dyslipidemia Based on Gas Chromatography-Mass Spectrometry and Graphical Models

To explore the plasma metabolite profiles in patients with dyslipidemia and seek for the metabolic biomarkers of the disease,the plasma metabolite profiles of 37 patients and 10 healthy people were analyzed by gas chromatography-mass spectrometry(GC-MS).Partial least squares-discriminant analysis(PLS-DA) was employed to perform the pattern recognition analysis of the data.The concentrations in plasma of 9 metabolites were found out with significant differences between patients with dyslipidemia and healthy people(p<0.05).They were identified as valine,glycine,alanine,pyroglutamic acid,glucuronic acid,galactose,mannose,linoleic acid and glycerol by searching in NIST database.The concentrations of 8 metabolites in plasma of patients with dyslipidemia were less than those of healthy people,while the glycerol`s was higher.The plasma metabolic biomarkers showed good correlation with the diagnostic criteria of dyslipidemia analyzed graphical models.Compared with healthy people,these 9 metabolites showing abnormal assembling in patients with dyslipidemia,and they might be the diagnostic and prognostic special metabolic biomarkers.