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Chemogenomics Knowledgebase and Targethunter forudPolypharmacology Analysis of A Traditional Chinese Herbal Formula, 'Sini Decoction'

机译:化学基因组学知识库和Targethunter中药四逆汤的多药理学分析

摘要

To enhance therapeutic efficacy and reduce adverse effects, practitioners of traditional Chinese medicine (TCM) often prescribe a combination of multiple herbs, called Traditional Chinese Herbal formulae (TCHF), according to the compatibility principle of TCM. To clarify the possible compatibility mechanism of formulae with systems polypharmacology analyses, we use Sini Decoction (SNT), which has been proven to be effective in treating cardiovascular diseases (CVD), as a model. The main components of SND are Aconitum carmichaeli Debeaux [Ranunculaceae], Zingiber officinale Roscoe [Zingiberaceae] and Glycyrrhiza uralensis Fisch. ex DC [Febaceae]. In this research, we initially construct a chemical library with 347 reported constituents in SND, and narrowed the library to 40 compounds by selecting representative chemical structures. Then, we constructed several databases for the specific indications of SND, including heart failure, myocardial infarction, and shock, and an integrated database for CVD to perform high throughput docking with the 40 compounds in SND. Systems pharmacology is applied to investigate the polypharmacological mechanisms of SND formulae in treatment of CVD. The predicted results showed that 31 ingredients in SND were associated with 33 targets related to the autonomic nervous system, the renin-angiotensin aldosterone system, blood coagulation, ionic channels and the glucocorticoid receptor. Through analysis of the compound-target interaction, we found multiple active chemical ingredients might interact with the same target, thus explaining the synergistic mechanisms of SND as ‘‘Jun (emperor) - Chen (minister) - Zuo (adjuvant) - Shi (courier)’’. To validate the polypharmacological effects predicted by molecular docking, the experimental validation was further performed on three selected representative constituents (aconitine, liquiritin, and 6-gingerol) according to our predicted results. The results showed that the three constituents combination could produce the same cardiac effects in the rat heart failure model with the combination of three herbs in SND, and confirmed the three constituents we predicted are most likely the active constituents. This computational systems pharmacology data revealed that aconitine was the principal component of the formula, whereas liquiritin and 6-gingerol served as adjuvant ingredients, as 6-gingerol can enhance the cardiac effects of aconitine, and liquiritin can alleviate the arrhythmia caused by aconitine. The predictions are all congruent with the other reports and experiments results.
机译:为了提高治疗效果并减少不良反应,中医(TCM)医生通常根据中医的相容性原则开出多种草药的组合,称为中药配方(TCHF)。为了阐明配方与系统多药理学分析的可能相容性机制,我们使用Sini汤剂(SNT)(已被证明可有效治疗心血管疾病(CVD))作为模型。 SND的主要成分是乌头乌头,毛姜,罗汉果和甘草。 ex DC [Febaceae]。在这项研究中,我们最初用SND中报告的347种成分构建了一个化学文库,然后通过选择代表性的化学结构将其缩小为40种化合物。然后,我们针对SND的具体适应症建立了多个数据库,包括心力衰竭,心肌梗塞和休克,以及一个用于CVD的综合数据库,可与SND中的40种化合物进行高通量对接。系统药理学被用于研究SND配方在CVD治疗中的多药理机制。预测结果表明,SND中的31种成分与与自主神经系统,肾素-血管紧张素醛固酮系统,凝血,离子通道和糖皮质激素受体相关的33个靶标相关。通过对化合物-靶标相互作用的分析,我们发现多种活性化学成分可能与同一靶标相互作用,从而将SND的协同机制解释为''君(皇帝)-陈(副部长)-左(佐剂)-石(信使) )''。为了验证通过分子对接预测的多药理作用,根据我们的预测结果,对三种选定的代表性成分(香精碱,脂蛋白和6-姜油醇)进一步进行了实验验证。结果表明,在SND中使用三种草药的组合,这三种成分的组合可以在大鼠心力衰竭模型中产生相同的心脏效应,并证实了我们预测的三种成分最有可能是活性成分。该计算系统的药理学数据表明乌头碱是该配方的主要成分,而liquiritin和6-gingerol作为佐剂成分,因为6-gingerol可以增强乌头碱的心脏作用,liquiritin可以减轻乌头碱引起的心律不齐。这些预测与其他报告和实验结果完全一致。

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    Ma Shifan;

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  • 年度 2015
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