College of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian, China.
Liaoning Multi-dimensional Analysis of Traditional Chinese Medicine Technical Innovation Center, Dalian, China.
PLoS One. 2021 Mar 17;16(3):e0248700. doi: 10.1371/journal.pone.0248700. eCollection 2021.
As a traditional Chinese medicine (TCM) with a usage history of over 2,000 years in China, Spica Schizonepetae possesses definite clinical activity in the treatment of non-small cell lung cancer (NSCLC). However, its active ingredients and mechanism of action remain unclear at present. The further exploration of its active components and underlying mechanism will provide a basis for the development of candidate anti-tumor drugs. Our previous study explored the chemical constituents of Spica Schizonepetae extract (SSE). On this basis, molecular networking technology was applied in analyzing the QTOF-MS/MS data of rat plasma after intragastric administration of SSE using the GNPS database platform. A total of 26 components were found, including 9 proterotype components and 17 metabolites, which revealed the potential active ingredients of SSE. Later, the Lewis lung cancer mouse model was established, and the inhibition rate and histopathological sections were used as the indicators to investigate the anti-tumor effect of SSE, whereas the body weight, survival rate, thymus index and spleen index served as the indicators to explore the pharmacological effects of SSE on improving mouse immunity. The results showed that SSE had comparable anti-tumor efficacy to cisplatin, which enhanced the immunity, improved the quality of life, and extended the survival time of lung cancer mice. Furthermore, human A549 lung tumor cells were selected to explore the mechanism of SSE in treating NSCLC based on cell metabonomics. After data mining by the MPP software, 23 differential endogenous metabolites were identified between SSE and tumor groups. Moreover, results of pathway enrichment analysis using the MetaboAnalyst 4.0 software indicated that these metabolites were mainly enriched in four metabolic pathways (p < 0.1). By adopting the network pharmacology method, the metabolic pathways discovered by cell metabolomics were verified against the ChEMBL, STITCH, UniProt and TCGA databases, and differences in the underlying mechanism between cells and humans were found. It was proved that SSE affected the metabolism of purine, arachidonic acid and histidine to exert the anti-tumor efficacy. Furthermore, the multi-target, multi-pathway, and immunoenhancement mechanism of SSE in anti-tumor treatment was revealed, which provided a scientific basis for new drug development and the rational application of Spica Schizonepetae in clinic.
作为一种在中国有 2000 多年使用历史的中药,荆芥穗在治疗非小细胞肺癌(NSCLC)方面具有明确的临床疗效。然而,其活性成分和作用机制目前尚不清楚。进一步探索其活性成分和作用机制,将为开发候选抗肿瘤药物提供依据。我们之前的研究探讨了荆芥穗提取物(SSE)的化学成分。在此基础上,应用分子网络技术,结合 GNPS 数据库平台,分析大鼠灌胃 SSE 后血浆的 QTOF-MS/MS 数据。共发现 26 种成分,包括 9 种原型成分和 17 种代谢产物,揭示了 SSE 的潜在活性成分。随后,建立了 Lewis 肺癌小鼠模型,以抑制率和组织病理学切片作为指标,研究 SSE 的抗肿瘤作用,以体重、存活率、胸腺指数和脾脏指数作为指标,探讨 SSE 改善小鼠免疫力的药理作用。结果表明,SSE 的抗肿瘤疗效与顺铂相当,能增强免疫力,提高生活质量,延长肺癌小鼠的生存时间。此外,选择人 A549 肺肿瘤细胞,基于细胞代谢组学探讨 SSE 治疗 NSCLC 的作用机制。经 MPP 软件数据挖掘,鉴定出 SSE 与肿瘤组之间有 23 个差异内源性代谢物。同时,利用 MetaboAnalyst 4.0 软件进行通路富集分析的结果表明,这些代谢物主要富集在 4 条代谢通路(p<0.1)中。采用网络药理学方法,将细胞代谢组学发现的代谢通路与 ChEMBL、STITCH、UniProt 和 TCGA 数据库进行验证,发现细胞和人类之间的作用机制存在差异。证明 SSE 通过影响嘌呤、花生四烯酸和组氨酸的代谢发挥抗肿瘤作用。揭示了 SSE 在抗肿瘤治疗中的多靶点、多途径、免疫增强作用机制,为新药开发和荆芥穗在临床中的合理应用提供了科学依据。