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湖南中医药大学 药学院,中药成药性与制剂制备湖南省重点实验室, 中医药超分子机理与数理特征化实验室,长沙 410208
吴月峰,在读硕士,从事中药质量分析与评价研究,E-mail:yuefen_g@163.com
周晋,博士,副教授,从事药物制剂质量评价研究、中医药超分子与数理特征化的研究,E-mail:hnzhoujin@sina.com; *
贺福元,博士,教授,从事中药药理学、中药药剂学、中医药超分子与数理特征化的研究,E-mail:pharmsharking@tom.com
收稿日期:2022-03-04,
网络出版日期:2022-07-12,
纸质出版日期:2023-01-20
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吴月峰,刘金玲,陈定芳等.基于UPLC-Q-TOF-MS联合网络药理学的桑源药材不同入药部位改善胰岛素抵抗的物质基础[J].中国实验方剂学杂志,2023,29(02):149-158.
WU Yuefeng,LIU Jinling,CHEN Dingfang,et al.Chemical Constituents and Insulin Resistance Targets in Different Parts of Morus alba by UPLC-Q-TOF-MS Combined with Network Pharmacology[J].Chinese Journal of Experimental Traditional Medical Formulae,2023,29(02):149-158.
吴月峰,刘金玲,陈定芳等.基于UPLC-Q-TOF-MS联合网络药理学的桑源药材不同入药部位改善胰岛素抵抗的物质基础[J].中国实验方剂学杂志,2023,29(02):149-158. DOI: 10.13422/j.cnki.syfjx.20221214.
WU Yuefeng,LIU Jinling,CHEN Dingfang,et al.Chemical Constituents and Insulin Resistance Targets in Different Parts of Morus alba by UPLC-Q-TOF-MS Combined with Network Pharmacology[J].Chinese Journal of Experimental Traditional Medical Formulae,2023,29(02):149-158. DOI: 10.13422/j.cnki.syfjx.20221214.
目的
2
基于液质联用联合网络药理学和分子对接技术比较桑源药材不同部位改善胰岛素抵抗(IR)物质基础异同。
方法
2
利用超高效液相色谱串联四极杆飞行时间质谱(UPLC-Q-TOF-MS)技术分析桑源药材不同部位的成分差异;用Sybyl-X2.1软件将成分与IR核心靶标进行对接,以Total Score≥5为遴选条件,绘制成分-疾病-靶点网络图;计算单靶点-成分对接评分数据集与总靶点-成分对接评分数据集的总量统计矩标准相似度(TQSMSS),筛选TQSMSS较高的靶点,构建蛋白质-蛋白质相互作用(PPI)网络,利用R语言对其进行基因本体论(GO)功能和京都基因与基因组百科全书(KEGG)通路富集分析。
结果
2
通过色谱-质谱技术共分析得到桑源药材的41种活性成分,总量统计矩(相似度)法筛选桑枝、桑白皮、桑椹、桑叶TQSMSS≥0.75的靶点数量分别为20、23、30、27,4味桑源药材中GO富集分析靶点功能排序为桑椹>桑叶>桑白皮>桑枝,涉及到血糖稳态、糖代谢过程、葡萄糖跨膜转运等生物过程;4味桑源药材KEGG通路富集排序为桑椹>桑枝>桑叶>桑白皮,涉及到单磷酸腺苷激活的蛋白激酶(AMPK)能量代谢信号通路、胰岛素调控相关的信号通路、抗炎及抗氧化应激的信号通路等。
结论
2
该研究表明了桑源药材不同部位改善IR的物质基础存在差异,为桑源药材不同部位的开发提供了依据。
Objective
2
To compare the similarities and differences of material basis for improving insulin resistance (IR) in different parts of
Morus alba
based on liquid-mass combination combined with network pharmacology and molecular docking technology.
Method
2
Ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) was used to analyze the composition differences in different parts of
M. alba
. Sybyl-X2.1 was used to connect components with IR core targets, and the selection criterion was Total Score≥5. The "component-target-disease" network map was drawn. The total statistical moment standard similarity (TQSMSS) between the single target-component docking score data set and the total target-component docking score data set was calculated. The targets with higher TQSMSS were screened out, and the protein-protein interaction (PPI) network was constructed. The Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using R language.
Result
2
Forty-one active components were obtained by UPLC-Q-TOF-MS. According to the total statistical moment (similarity) method, there were 20, 23, 30, and 27 targets with TQSMSS≥0.75 in Mori Ramulus, Mori Cortex, Mori Fructus, and Mori Folium, respectively. In the four
M. alba
medicinal sources, the functional order of the targets by GO enrichment analysis was Mori Fructus
>
Mori Folium
>
Mori Cortex
>
Mori Ramulus, which were involved in biological processes such as blood glucose homeostasis, glucose metabolism, and glucose transmembrane transport. The order of the four
M. alba
medicinal sources by KEGG pathway enrichment analysis was Mori Fructus
>
Mori Ramulus
>
Mori Folium
>
Mori Cortex, which were involved in the adenosine monophosphate-activated protein kinase (AMPK) energy metabolism signaling pathway, the insulin regulation-related signaling pathway, the anti-inflammatory and anti-oxidative stress signaling pathway, and so on.
Conclusion
2
This research demonstrates that there are differences in the material basis for improving IR by different parts of
M. alba
, which provides references for the development of different parts of
M. alba
.
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