دانلود مقاله انگلیسی رایگان:شناسایی نشانگرهای کیفی قرص Yuanhu Zhitong بر اساس انتگرال فارماکولوژی و داده کاوی - 2018
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  • Identification of quality markers of Yuanhu Zhitong tablets based on integrative pharmacology and data mining Identification of quality markers of Yuanhu Zhitong tablets based on integrative pharmacology and data mining
    Identification of quality markers of Yuanhu Zhitong tablets based on integrative pharmacology and data mining

    دسته بندی:

    داده کاوی - data mining


    سال انتشار:

    2018


    عنوان انگلیسی مقاله:

    Identification of quality markers of Yuanhu Zhitong tablets based on integrative pharmacology and data mining


    ترجمه فارسی عنوان مقاله:

    شناسایی نشانگرهای کیفی قرص Yuanhu Zhitong بر اساس انتگرال فارماکولوژی و داده کاوی


    منبع:

    Sciencedirect - Elsevier - Phytomedicine,Corrected proof,doi:10:1016/j:phymed:2018:03:002


    نویسنده:

    Li Kea,1, Li Junfangb,c,1, Su Jinb,1, Xiao Xuefengc, Peng Xiujuand, Liu Fengd, Li Defengb, Zhang Yib, Chong Taof, Xu Haiyub,d,⁎, Liu Changxiaod,e,⁎, Yang Hongjunb


    چکیده انگلیسی:

    The quality evaluation of traditional Chinese medicine (TCM) formulations is needed to guarantee the safety and efficacy. In our laboratory, we established interaction rules between chemical quality control and biological activity evaluations to study Yuanhu Zhitong tablets (YZTs). Moreover, a quality marker (Q-marker) has recently been proposed as a new concept in the quality control of TCM. However, no appropriate methods are available for the identification of Q-markers from the complex TCM systems. Purpose: We aimed to use an integrative pharmacological (IP) approach to further identify Q-markers from YZTs through the integration of multidisciplinary knowledge. In addition, data mining was used to determine the correlation between multiple constituents of this TCM and its bioactivity to improve quality control. Methods: The IP approach was used to identify the active constituents of YZTs and elucidate the molecular mechanisms by integrating chemical and biosynthetic analyses, drug metabolism, and network pharmacology. Data mining methods including grey relational analysis (GRA) and least squares support vector machine (LSSVM) regression techniques, were used to establish the correlations among the constituents and efficacy, and dose efficacy in multiple dimensions. Results: Seven constituents (tetrahydropalmatine, α-allocryptopine, protopine, corydaline, imperatorin, isoimperatorin, and byakangelicin) were identified as Q-markers of YZT using IP based on their high abundance, specific presence in the individual herbal constituents and the product, appropriate drug-like properties, and critical contribution to the bioactivity of the mixture of YZT constituents. Moreover, three Q-markers (protopine, α-allocryptopine, and corydaline) were highly correlated with the multiple bioactivities of the YZTs, as found using data mining. Finally, three constituents (tetrahydropalmatine, corydaline, and imperatorin) were chosen as minimum combinations that both distinguished the authentic components from false products and indicated the intensity of bioactivity to improve the quality control of YZTs. Conclusions: Tetrahydropalmatine, imperatorin, and corydaline could be used as minimum combinations to effectively control the quality of YZTs.
    Keywords: Yuanhu Zhitong tablet ، Quality evaluation ، Least squares support vector machine ، Vasorelaxation bioactivity ، Quality markers


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 8
    حجم فایل: 435 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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