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基于分子网络模式对治疗心律失常的三方剂进行综合药物基因组学分析

Integrated Pharmacogenetics Analysis of the Three Fangjis Decoctions for Treating Arrhythmias Based on Molecular Network Patterns.

作者信息

Wei Penglu, Long Dehuai, Tan Yupei, Xing Wenlong, Li Xiang, Yang Kuo, Liu Hongxu

机构信息

Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.

Beijing University of Chinese Medicine, Beijing, China.

出版信息

Front Cardiovasc Med. 2021 Dec 24;8:726694. doi: 10.3389/fcvm.2021.726694. eCollection 2021.

Abstract

To explore the diverse target distribution and variable mechanisms of different fangjis prescriptions when treating arrhythmias based on the systems pharmacology. The active ingredients and their corresponding targets were acquired from the three fangjis [Zhigancao Tang (ZT), Guizhigancao Longgumuli Tang (GLT), and Huanglian E'jiao Tang (HET)] and the arrhythmia-related genes were identified based on comprehensive database screening. Networks were constructed between the fangjis and arrhythmia and used to define arrhythmia modules. Common and differential gene targets were identified within the arrhythmia network modules and the cover rate (CR) matrix was applied to compare the contributions of the fangjis to the network and modules. Comparative pharmacogenetics analyses were then conducted to define the arrhythmia-related signaling pathways regulated by the fangjis prescriptions. Finally, the divergence and convergence points of the arrhythmia pathways were deciphered based on databases and the published literature. A total of 187, 105, and 68 active ingredients and 1,139, 1,195, and 811 corresponding gene targets of the three fangjis were obtained and 102 arrhythmia-related genes were acquired. An arrhythmia network was constructed and subdivided into 4 modules. For the target distribution analysis, 65.4% of genes were regulated by the three fangjis within the arrhythmia network. ZT and GLT were more similar to each other, mainly regulated by module two, whereas HET was divided among all the modules. From the perspective of signal transduction, calcium-related pathways [calcium, cyclic guanosine 3',5'-monophosphate (cGMP)-PKG, and cyclic adenosine 3',5'-monophosphate (cAMP)] and endocrine system-related pathways (oxytocin signaling pathway and renin secretion pathways) were associated with all the three fangjis prescriptions. Nevertheless, heterogeneity existed between the biological processes and pathway distribution among the three prescriptions. GLT and HET were particularly inclined toward the conditions involving abnormal hormone secretion, whereas ZT tended toward renin-angiotensin-aldosterone system (RAAS) disorders. However, calcium signaling-related pathways prominently feature in the pharmacological activities of the decoctions. Experimental validation indicated that ZT, GLT, and HET significantly shortened the duration of ventricular arrhythmia (VA) and downregulated the expression of CALM2 and interleukin-6 (IL-6) messenger RNAs (mRNAs); GLT and HET downregulated the expression of CALM1 and NOS3 mRNAs; HET downregulated the expression of CRP mRNA. Comparing the various distributions of the three fangjis, pathways provide evidence with respect to precise applications toward individualized arrhythmia treatments.

摘要

基于系统药理学探讨不同方剂治疗心律失常时的多样靶点分布及可变机制。从三个方剂[炙甘草汤(ZT)、桂枝甘草龙骨牡蛎汤(GLT)和黄连阿胶汤(HET)]中获取活性成分及其相应靶点,并通过综合数据库筛选鉴定与心律失常相关的基因。构建方剂与心律失常之间的网络,并用于定义心律失常模块。在心律失常网络模块中识别共同和差异基因靶点,并应用覆盖率(CR)矩阵比较方剂对网络和模块的贡献。然后进行比较药物遗传学分析,以确定方剂调控的与心律失常相关的信号通路。最后,基于数据库和已发表的文献解读心律失常通路的分歧和汇聚点。获得了三个方剂的187、105和68种活性成分以及1139、1195和811个相应基因靶点,并获得了102个与心律失常相关的基因。构建了心律失常网络并将其细分为4个模块。对于靶点分布分析,心律失常网络中65.4%的基因受三个方剂调控。ZT和GLT彼此更相似,主要受模块二调控,而HET分布于所有模块。从信号转导的角度来看,钙相关通路[钙、环鸟苷酸(cGMP)-蛋白激酶G和环腺苷酸(cAMP)]以及内分泌系统相关通路(催产素信号通路和肾素分泌通路)与所有三个方剂相关。然而,三个方剂之间的生物学过程和通路分布存在异质性。GLT和HET特别倾向于涉及激素分泌异常的情况,而ZT倾向于肾素-血管紧张素-醛固酮系统(RAAS)紊乱。然而,钙信号相关通路在汤剂的药理活性中显著突出。实验验证表明,ZT、GLT和HET显著缩短室性心律失常(VA)的持续时间,并下调钙调蛋白2(CALM2)和白细胞介素-6(IL-6)信使核糖核酸(mRNA)的表达;GLT和HET下调钙调蛋白1(CALM1)和一氧化氮合酶3(NOS3)mRNA的表达;HET下调C反应蛋白(CRP)mRNA的表达。比较三个方剂的各种分布情况,通路为心律失常个体化治疗的精准应用提供了证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51b5/8739471/95c4a427001c/fcvm-08-726694-g0001.jpg

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