ZHANG Mingxiao,LI Hua,CHEN Na,et al.Mechanism of Moringa Folium in Treatment of Constipation Based on UPLC-Q-TOF-MS and GC-MS and Network Pharmacology[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(22):182-188.
ZHANG Mingxiao,LI Hua,CHEN Na,et al.Mechanism of Moringa Folium in Treatment of Constipation Based on UPLC-Q-TOF-MS and GC-MS and Network Pharmacology[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(22):182-188. DOI: 10.13422/j.cnki.syfjx.20221213.
Mechanism of Moringa Folium in Treatment of Constipation Based on UPLC-Q-TOF-MS and GC-MS and Network Pharmacology增强出版
UPLC-Q-TOF-MS法采用正负离子扫描模式,根据精确相对分子质量数据和一级、二级质谱碎片离子,结合对照品信息和文献数据从4种辣木叶中共鉴定20个非挥发性共有成分;采用GC-MS法将色谱峰信息与NIST Version 1.7谱库进行检索对比,4种辣木叶中共鉴定出19个挥发性共有成分。通过SwissTargetPrediction数据库和SEA数据库对辣木叶鉴定出的共有成分靶点进行预测,整合、去重后共得到674个化学成分靶点;利用GeneCards数据库检索便秘“constipation”关键词,得到1 086个便秘相关的靶点;通过Venny平台将化学成分靶点和便秘靶点映射后得到88个交集靶点,并绘制韦恩图。利用STRING数据库和Cytoscape软件绘制蛋白质-蛋白质相互作用(PPI)网络图;通过Metascape平台进行辣木叶治疗便秘进行基因本体(GO)和京都基因与基因组百科全书(KEGG)通路分析,结果表明辣木叶治疗便秘可能与5-羟色胺能突触通路、晚期糖基化产物/糖基化终末产物受体(AGE/RAGE)信号通路和癌症通路等通路有关;同时利用Cytoscape软件绘制“成分-靶点-通路”图,推测辣木叶治疗便秘的关键成分为腺苷、紫云英苷、香叶基丙酮、2-甲基-3-辛酮、棕榈酸和油酸酰胺;关键靶点可能为肿瘤坏死因子(TNF)、前列腺素内过氧化物合酶2(PTGS2)、白细胞介素-6(IL-6)、丝裂原活化蛋白激酶1(MAPK1)、肾上腺素能受体基因
α
2A(ADRA2A),进一步通过The Human Protein Atlas数据库推测这5个靶点在结肠、小肠、直肠等多组织中均有分布。
Chemical components in four varieties of Moringa Folium (MF); traditional Indian YD, modified species of Indian species PKM1, modified species of PKM1 species PKM2, and red river No.1 variety HH) were qualitatively analyzed by ultra-high performance liquid chromatography quadrupole time of flight mass spectrometry(UPLC-Q-TOF-MS) and gas chromatography mass spectrometry(GC-MS), and potential mechanism and material basis of MF in the treatment of constipation were revealed based on network pharmacology.
Result
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Data of accurate relative molecular mass and fragment ions in primary and secondary mass spectra in both positive and negative ion modes were acquired by UPLC-Q-TOF-MS, and then 20 nonvolatile components were identified from the four varieties by comparison with references and consulting literature reports. Nineteen volatile components were identified by comparing mass spectrometry information and that in NIST (version 1.7) based on GC-MS, and 674 chemical component targets were predicted using SwissTargetPrediction and SEA after integration and duplicate elimination. A total of 1 086 constipation-related targets were predicted using GeneCards. With Venny, 88 intersection targets were obtained by mapping chemical component targets and disease targets and venny diagram was drawn. STRING and Cytoscape were used to plot protein-protein interaction(PPI) network diagram. Gene ontology(GO) function analysis and Kyoto encyclopedia of genes and genomes(KEGG) pathway analysis were completed through Metascape, which indicated that MF treated constipation mainly via thyroid hormone signaling pathway, advanced glycation end products/receptor for advanced glycation end products(AGE/RAGE) signaling pathway, and cancer signaling pathway. Additionally, the "component-target-pathway" map was plotted by Cytoscape, which predicted that the key components of MF in the treatment of constipation were adenosine, astragalin, geranylacetone, 2-methyloctan-3-one, palmitic acid and oleamide. Also, we inferred that the core targets might be prostaglandin-endoperoxide synthase 2(PTGS2), tumor necrosis factor(TNF), mitogen-activated protein kinase 1(MAPK1), alpha 2A adrenergic receptor(ADRA2A), and interleukin (IL)-6, which distributed in multiple tissues such as colon, small intestine, and rectum.
Conclusion
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This study clarified the volatile and non-volatile divisions in four varieties of MF comprehensively, and explained that MF treated constipation by reducing inflammatory state and promoting intestinal movement and secretion of intestinal fluid, which provided reference for further quality evaluation and clinical research of MF.
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