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米碎花(Millettia speciosa Champ)抗慢性不可预知温和应激诱导抑郁大鼠的尿代谢组学研究

Urinary metabonomics study of anti-depressive mechanisms of Millettia speciosa Champ on rats with chronic unpredictable mild stress-induced depression.

机构信息

Pharmaceutical College, Guangxi Medical University, Nanning 530021, China.

Pharmaceutical College, Guangxi Medical University, Nanning 530021, China.

出版信息

J Pharm Biomed Anal. 2021 Oct 25;205:114338. doi: 10.1016/j.jpba.2021.114338. Epub 2021 Aug 21.

Abstract

As a traditional Chinese medicine (TCM), Millettia speciosa Champ (MSC), exerts a wide range of pharmacological activities. Our research group previously found that MSC has antidepressant effects, but the specific antidepressant mechanisms remain unclear. Therefore, in this study, urine metabolomics based on ultra-performance liquid chromatography/quadrupole time of flight mass spectrometry (UPLC-Q-TOF/MS) combined with pharmacodynamics was used to explore the pathogenesis of depression and the antidepressant effects of MSC. The results showed that MSC treatment could significantly improve chronic unpredictable mild stress (CUMS)-induced depression. Urine metabolic showed that the profiles of the CUMS model group were significantly separated from the control group, while the drug-treated groups were closer to the control group, especially the MSC group treated with a 14 g/kg dose of MSC. Furthermore, 9 metabolites, including glutaric acid, L-isoleucine, L-Dopa, sebacic acid, 3-methylhistidine, allantoin, caprylic acid, tryptophol, and 2-phenylethanol glucuronide, were identified as potential biomarkers of depression. Metabolic pathway analysis showed that these potential biomarkers were mainly involved in valine, leucine, and isoleucine biosynthesis, aminoacyl-tRNA biosynthesis, valine, leucine and isoleucine degradation, tyrosine metabolism, histidine metabolism, fatty acid biosynthesis, and pentose and glucuronate interconversions. Through Receiver operating characteristic (ROC) analysis and Pearson correlation analysis, the combination of L-isoleucine, sebacic acid, and allantoin, were further screened out as potential pharmacodynamic biomarkers associated with the efficacy of MSC. This study suggests that the integration of metabolomics with pharmacodynamics helps to further understand the pathogenesis of depression and provides novel insight into the efficacy of TCM.

摘要

作为一种传统中药(TCM),密花豆(Millettia speciosa Champ)具有广泛的药理活性。我们的研究小组先前发现密花豆具有抗抑郁作用,但具体的抗抑郁机制尚不清楚。因此,在这项研究中,我们基于超高效液相色谱/四极杆飞行时间质谱联用(UPLC-Q-TOF/MS)的尿代谢组学结合药效学方法,探讨了抑郁症的发病机制和密花豆的抗抑郁作用。结果表明,密花豆治疗可显著改善慢性不可预测轻度应激(CUMS)诱导的抑郁。尿代谢组学显示,CUMS 模型组的图谱与对照组有明显分离,而药物治疗组与对照组更为接近,尤其是用 14 g/kg 剂量密花豆治疗的密花豆组。此外,鉴定出 9 种代谢物,包括戊二酸、异亮氨酸、L-多巴、癸酸、3-甲基组氨酸、尿囊素、辛酸、色醇和 2-苯乙醇葡萄糖醛酸苷,作为抑郁症的潜在生物标志物。代谢途径分析表明,这些潜在的生物标志物主要涉及缬氨酸、亮氨酸和异亮氨酸生物合成、氨酰-tRNA 生物合成、缬氨酸、亮氨酸和异亮氨酸降解、酪氨酸代谢、组氨酸代谢、脂肪酸生物合成和戊糖和葡萄糖醛酸转化。通过接收者操作特征(ROC)分析和 Pearson 相关性分析,进一步筛选出 L-异亮氨酸、癸酸和尿囊素作为与密花豆疗效相关的潜在药效生物标志物。这项研究表明,代谢组学与药效学的结合有助于进一步了解抑郁症的发病机制,并为中药的疗效提供新的见解。

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