Jiang Wenyue, Gao Lu, Li Pengdong, Kan Hong, Qu Jiale, Men Lihui, Liu Zhiqiang, Liu Zhongying
School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China; Science and Technology Innovation Center, Xiuzheng Pharmaceutical Group Company Limited, Changchun, Jilin 130012, China; Changchun Center of Mass Spectrometry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
Science and Technology Innovation Center, Xiuzheng Pharmaceutical Group Company Limited, Changchun, Jilin 130012, China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Feb 15;1044-1045:8-16. doi: 10.1016/j.jchromb.2016.12.039. Epub 2016 Dec 29.
Fenugreek is a traditional plant for the treatment of diabetes. Galactomannan, an active major component in fenugreek seeds, has shown hypoglycemic activity. The present study was performed to investigate the therapeutic mechanism underlying fenugreek galactomannan (F-GAL) in treating diabetes, using a metabonomics approach based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). The F-GAL used for study was highly purified, and its yield, purity, and galactose/mannose ratio were characterized by capillary zone electrophoresis (CZE) and a modified phenol-sulfuric acid method. After treatment of streptozotocin (STZ)-induced diabetic rats with F-GAL for 28days, urine and serum samples were analyzed by UPLC-QTOF/MS. Multivariate statistical approaches such as principal component analysis (PCA) and orthogonal projection to latent structures squares-discriminant analysis (OPLS-DA) were applied to distinguish the non-diabetic/untreated, diabetic/untreated, and diabetic/F-GAL-treated groups. Then, potential biomarkers were identified that may help elucidate the underlying therapeutic mechanism of F-GAL in diabetes. The results demonstrated that there was a clear separation among the three groups in the PCA model. Fourteen potential biomarkers were identified by OPLS-DA, and they were determined to be produced in response to the therapeutic effects of F-GAL. These biomarkers were involved in histidine metabolism, tryptophan metabolism, energy metabolism, phenylalanine metabolism, sphingolipid metabolism, glycerophospholipid metabolism, and arachidonic acid metabolism. In conclusion, our study demonstrates that a metabonomics approach is a powerful, novel tool that can be used to evaluate the underlying therapeutic mechanisms of herb extracts.
胡芦巴是一种用于治疗糖尿病的传统植物。半乳甘露聚糖是胡芦巴种子中的一种活性主要成分,已显示出降血糖活性。本研究采用基于超高效液相色谱-四极杆飞行时间质谱联用(UPLC-QTOF/MS)的代谢组学方法,研究胡芦巴半乳甘露聚糖(F-GAL)治疗糖尿病的潜在机制。用于研究的F-GAL经过高度纯化,其产量、纯度和半乳糖/甘露糖比例通过毛细管区带电泳(CZE)和改良的苯酚-硫酸法进行表征。用F-GAL治疗链脲佐菌素(STZ)诱导的糖尿病大鼠28天后,通过UPLC-QTOF/MS分析尿液和血清样本。应用主成分分析(PCA)和正交投影到潜在结构平方判别分析(OPLS-DA)等多元统计方法区分非糖尿病/未治疗、糖尿病/未治疗和糖尿病/F-GAL治疗组。然后,鉴定出可能有助于阐明F-GAL治疗糖尿病潜在机制的潜在生物标志物。结果表明,PCA模型中三组之间有明显分离。通过OPLS-DA鉴定出14种潜在生物标志物,它们被确定是对F-GAL治疗作用的反应产物。这些生物标志物涉及组氨酸代谢、色氨酸代谢、能量代谢、苯丙氨酸代谢、鞘脂代谢、甘油磷脂代谢和花生四烯酸代谢。总之,我们的研究表明,代谢组学方法是一种强大的新型工具,可用于评估草药提取物的潜在治疗机制。