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高通量非靶向代谢组学与化学计量学通过超高效液相色谱结合四极杆-飞行时间质谱揭示川芎的药理作用及分子机制。

High-throughput untargeted metabolomics and chemometrics reveals pharmacological action and molecular mechanism of chuanxiong by ultra performance liquid chromatography combined with quadrupole-time-of-flight-mass spectrometry.

作者信息

Luo Wen, Zhang Jia-Wen, Zhang Li-Juan, Zhang Wei

机构信息

Department of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University Harbin 150081 China

出版信息

RSC Adv. 2019 Nov 28;9(67):39025-39036. doi: 10.1039/c9ra06267j. eCollection 2019 Nov 27.

Abstract

Metabolomics methods can be used to explore the effect mechanisms underlying treatments with traditional medicine. Lung cancer (LC) causes the highest morbidity and mortality among tumors disease, and has become a serious public health problem. Chuanxiong (CX) is a dried rhizome of Ligusticum Chuanxiong Hort., often used in traditional Chinese medicine and has been widely used in the treatment for tumors. However, the pharmacological effect of CX on the metabolism process of LC mice is still unclear. This study used high-throughput untargeted metabolomics aims to discover biomarkers and metabolic pathways of LC as a potential target to provide insight into the pharmacological action and effective mechanism of CX against LC. The precise structural identification of the LC biomarker has been established using ultra performance liquid chromatography (UPLC) combined with quadrupole-time-of-flight-mass spectrometry (Q-TOF-MS) technology. UPLC-Q-TOF-MS and chemometrics methods were used to analyze the blood metabolism of LC model mice, and revealed the intervention effect of CX on LC model mice and potential therapeutic targets. The results showed that the metabolic profile clustering among the groups was obvious, and 31 potential biomarkers were finally locked, involving 7 related metabolic pathways. After treatment with CX, we found that 22 kinds of biomarkers were recalled to the main metabolic pathway which are associated with lipid metabolism. This study provides an effective biomarker reference for early clinical diagnosis of LC, and also provides a foundation for the expansion of new drugs for CX treatment of LC.

摘要

代谢组学方法可用于探索传统医学治疗的潜在作用机制。肺癌(LC)在肿瘤疾病中发病率和死亡率最高,已成为严重的公共卫生问题。川芎(CX)是川芎的干燥根茎,常用于传统中药,已广泛应用于肿瘤治疗。然而,CX对肺癌小鼠代谢过程的药理作用仍不清楚。本研究采用高通量非靶向代谢组学,旨在发现肺癌的生物标志物和代谢途径,作为潜在靶点,以深入了解CX抗肺癌的药理作用和作用机制。利用超高效液相色谱(UPLC)结合四极杆-飞行时间质谱(Q-TOF-MS)技术对肺癌生物标志物进行了精确的结构鉴定。采用UPLC-Q-TOF-MS和化学计量学方法分析肺癌模型小鼠的血液代谢情况,揭示CX对肺癌模型小鼠的干预作用及潜在治疗靶点。结果表明,各组间代谢谱聚类明显,最终锁定31个潜在生物标志物,涉及7条相关代谢途径。CX治疗后,发现22种生物标志物恢复到与脂质代谢相关的主要代谢途径。本研究为肺癌的早期临床诊断提供了有效的生物标志物参考,也为CX治疗肺癌新药的拓展提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9d5/9075942/d84d184f8858/c9ra06267j-f1.jpg

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