Wu Xiu-Hong, Sun Xiao-Lan, Zhao Chuang, Zhang Jin-Qi, Wang Xu, Zhang Ai-Hua, Wang Xi-Jun
National Chinmedomics Research Center, Sino-America Chinmedomics Technology Collaboration Center, National TCM Key Laboratory of Serum Pharmacochemistry, Chinmedomics Research Center of State Administration of TCM, Metabolomics Laboratory, Heilongjiang University of Chinese Medicine Heping Road 24 Harbin 150040 China
State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology Avenida Wai Long Taipa Macau.
RSC Adv. 2019 Jul 3;9(36):20796-20805. doi: 10.1039/c9ra03525g. eCollection 2019 Jul 1.
This study was employed to explore the potential biomarkers of endometriosis of cold coagulation and blood stasis (ECB) model rats and the effective mechanism of action of paeoniflorin (PF). The serum metabolomics approach was carried out using the UPLC-MS technique with a pattern recognition approach to prove the possible biomarkers of the ECB model rats and the perturbed pathways. Subsequently, the mechanism of PF treatment of this disease model was elucidated. The results revealed that the serum metabolism profiles in two groups were also separated significantly. Moreover, 8 biomarkers were found in the positive mode, and 5 biomarkers were found in the negative mode. Totally, 13 biomarkers participated in the metabolism of phenylalanine, arachidonic acid, . After treatment with PF, 10 biomarkers were regulated. Among the 10 biomarkers, 4 were statistically significant: l-phenylalanine, l-tryptophan, LysoPC (18:4(6,9,12,15)), and LysoPC (16:1(9)). We initially confirmed that PF could significantly regulate the metabolic expression of multiple metabolic pathways in the ECB model rats. For the first time, this study explored the mechanism of action of PF treatment based on the metabolic pathways of the organism and demonstrated the potential of the metabolomics techniques for the study of drug action mechanisms.
本研究旨在探索寒凝血瘀型子宫内膜异位症（ECB）模型大鼠的潜在生物标志物以及芍药苷（PF）的有效作用机制。采用超高效液相色谱-质谱联用技术结合模式识别方法进行血清代谢组学研究，以确定ECB模型大鼠可能的生物标志物和受干扰的代谢途径。随后，阐明PF治疗该疾病模型的机制。结果显示，两组的血清代谢谱也有明显分离。此外，在正离子模式下发现了8种生物标志物，在负离子模式下发现了5种生物标志物。共有13种生物标志物参与苯丙氨酸、花生四烯酸的代谢。PF治疗后，10种生物标志物得到调节。在这10种生物标志物中，有4种具有统计学意义：L-苯丙氨酸、L-色氨酸、溶血磷脂酰胆碱（18:4(6,9,12,15)）和溶血磷脂酰胆碱（16:1(9)）。我们初步证实PF可显著调节ECB模型大鼠多种代谢途径的代谢表达。本研究首次基于生物体的代谢途径探索了PF治疗的作用机制，并证明了代谢组学技术在研究药物作用机制方面的潜力。
