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  1. Article: Mechanisms of Lian-Gui-Ning-Xin-Tang in the treatment of arrhythmia: Integrated pharmacology and in vivo pharmacological assessment

    Chen, Jinhong / Liu, Zhichao / Deng, Fangjun / Liang, Jiayu / Fan, Boya / Zhen, Xin / Tao, Rui / Sun, Lili / Zhang, Shaoqiang / Cong, Zidong / Li, Xiaofeng / Du, Wuxun

    Phytomedicine. 2022 May, v. 99

    2022  

    Abstract: Lian-Gui-Ning-Xin-Tang (LGNXT), a classical traditional Chinese medicine (TCM) formula, has been widely used in clinical practice and has shown satisfactory efficacy in the treatment of arrhythmias. However, its mechanism of action in the treatment of ... ...

    Abstract Lian-Gui-Ning-Xin-Tang (LGNXT), a classical traditional Chinese medicine (TCM) formula, has been widely used in clinical practice and has shown satisfactory efficacy in the treatment of arrhythmias. However, its mechanism of action in the treatment of arrhythmias is still unknown. Moreover, the complex chemical composition and therapeutic targets of LGNXT pose a challenge in pharmacological research. To analyze the active compounds and action mechanisms of LGNXT for the treatment of arrhythmias. Here, we used an integrated pharmacology approach to identify the potential active compounds and mechanisms of action of LGNXT in treating arrhythmias. Potential active compounds in LGNXT were identified using ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF/MS) and the potential related targets of these compounds were predicted using an integrated in silico approach. The obtained targets were mapped onto relevant databases to identify their corresponding pathways, following the experiments that were conducted to confirm whether the presumptive results of systemic pharmacology were correct. Eighty-three components were identified in herbal materials and in animal plasma using UPLC-Q-TOF/MS and were considered the potential active components of LGNXT. Thirty key targets and 57 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified as possible targets and pathways involved in LGNXT-mediated treatment using network pharmacology, with the cyclic adenosine monophosphate (cAMP)/protein kinase A (PKA)/Ca²⁺ system pathway being the most significantly affected. This finding was validated using an adrenaline (Adr)-induced rat model of arrhythmias. Pretreatment with LGNXT delayed the occurrence, shortened the duration, and reduced the severity of arrhythmias. LGNXT exerted antiarrhythmic effects by inhibiting cAMP, PKA, CACNA1C, and RyR2. The findings of this study revealed that preventing intracellular Ca²⁺ overload and maintaining intracellular Ca²⁺ homeostasis may be the primary mechanisms of LGNXT in alleviating arrhythmias. Thus, we suggest that the β-adrenergic receptor (AR)/cAMP/PKA/Ca²⁺ system signaling hub may constitute a promising molecular target for the development of novel antiarrhythmic therapeutic interventions. Additionally, we believe that the approach of investigation of the biological effects of a multi-herbal formula by the combination of metabolomics and network pharmacology, as used in this study, could serve as a systematic model for TCM research.
    Keywords Oriental traditional medicine ; animal models ; animals ; arrhythmia ; calcium ; computer simulation ; cyclic AMP ; epinephrine ; homeostasis ; mass spectrometry ; mechanism of action ; metabolomics ; pharmacology ; therapeutics
    Language English
    Dates of publication 2022-05
    Publishing place Elsevier GmbH
    Document type Article
    ZDB-ID 1205240-1
    ISSN 1618-095X ; 0944-7113
    ISSN (online) 1618-095X
    ISSN 0944-7113
    DOI 10.1016/j.phymed.2022.153989
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Mechanisms of Lian-Gui-Ning-Xin-Tang in the treatment of arrhythmia: Integrated pharmacology and in vivo pharmacological assessment.

    Chen, Jinhong / Liu, Zhichao / Deng, Fangjun / Liang, Jiayu / Fan, Boya / Zhen, Xin / Tao, Rui / Sun, Lili / Zhang, Shaoqiang / Cong, Zidong / Li, Xiaofeng / Du, Wuxun

    Phytomedicine : international journal of phytotherapy and phytopharmacology

    2022  Volume 99, Page(s) 153989

    Abstract: Background: Lian-Gui-Ning-Xin-Tang (LGNXT), a classical traditional Chinese medicine (TCM) formula, has been widely used in clinical practice and has shown satisfactory efficacy in the treatment of arrhythmias. However, its mechanism of action in the ... ...

    Abstract Background: Lian-Gui-Ning-Xin-Tang (LGNXT), a classical traditional Chinese medicine (TCM) formula, has been widely used in clinical practice and has shown satisfactory efficacy in the treatment of arrhythmias. However, its mechanism of action in the treatment of arrhythmias is still unknown. Moreover, the complex chemical composition and therapeutic targets of LGNXT pose a challenge in pharmacological research.
    Purpose: To analyze the active compounds and action mechanisms of LGNXT for the treatment of arrhythmias.
    Methods: Here, we used an integrated pharmacology approach to identify the potential active compounds and mechanisms of action of LGNXT in treating arrhythmias. Potential active compounds in LGNXT were identified using ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF/MS) and the potential related targets of these compounds were predicted using an integrated in silico approach. The obtained targets were mapped onto relevant databases to identify their corresponding pathways, following the experiments that were conducted to confirm whether the presumptive results of systemic pharmacology were correct.
    Results: Eighty-three components were identified in herbal materials and in animal plasma using UPLC-Q-TOF/MS and were considered the potential active components of LGNXT. Thirty key targets and 57 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified as possible targets and pathways involved in LGNXT-mediated treatment using network pharmacology, with the cyclic adenosine monophosphate (cAMP)/protein kinase A (PKA)/Ca
    Conclusions: The findings of this study revealed that preventing intracellular Ca
    Language English
    Publishing date 2022-02-12
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1205240-1
    ISSN 1618-095X ; 0944-7113
    ISSN (online) 1618-095X
    ISSN 0944-7113
    DOI 10.1016/j.phymed.2022.153989
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Wenxin Keli for the Treatment of Arrhythmia-Systems Pharmacology and

    Li, Xiaofeng / Tian, Gang / Xu, Liang / Sun, Lili / Tao, Rui / Zhang, Shaoqiang / Cong, Zidong / Deng, Fangjun / Chen, Jinhong / Yu, Yang / Du, Wuxun / Zhao, Hucheng

    Frontiers in pharmacology

    2021  Volume 12, Page(s) 704622

    Abstract: This study employed a systems pharmacology approach to identify the active compounds and action mechanisms of Wenxin Keli for arrhythmia treatment. Sixty-eight components ... ...

    Abstract This study employed a systems pharmacology approach to identify the active compounds and action mechanisms of Wenxin Keli for arrhythmia treatment. Sixty-eight components identified
    Language English
    Publishing date 2021-08-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2021.704622
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: An Integrative Pharmacology-Based Strategy to Uncover the Mechanism of Xiong-Pi-Fang in Treating Coronary Heart Disease with Depression.

    Zhang, Lihong / Zhang, Yu / Zhu, Mingdan / Pei, Limin / Deng, Fangjun / Chen, JinHong / Zhang, Shaoqiang / Cong, Zidong / Du, Wuxun / Xiao, Xuefeng

    Frontiers in pharmacology

    2021  Volume 12, Page(s) 590602

    Abstract: Objectives: ...

    Abstract Objectives:
    Language English
    Publishing date 2021-04-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2021.590602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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