药学学报, 2019, 54(12): 2155-2161
引用本文:
任永申, 邓鑫, 雷蕾, 梁帅, 郑尧, 艾娇, 李燕, 廖矛川. 基于抑菌效应成分指纹谱的黄芩质量评价研究[J]. 药学学报, 2019, 54(12): 2155-2161.
REN Yong-shen, DENG Xin, LEI Lei, LIANG Shuai, ZHENG Yao, AI Jiao, LI Yan, LIAO Mao-chuan. Establishment of an antibacterially effective components fingerprint for quality evaluation of Scutellariae Radix (Huangqin)[J]. Acta Pharmaceutica Sinica, 2019, 54(12): 2155-2161.

基于抑菌效应成分指纹谱的黄芩质量评价研究
任永申, 邓鑫, 雷蕾, 梁帅, 郑尧, 艾娇, 李燕, 廖矛川
中南民族大学药学院, 湖北 武汉 430070
摘要:
化学指纹图谱是中药质控的重要手段,但常规指纹图谱存在冗余信息,影响了其准确性和可用性,需要进行改进和提升。本研究采用量反应平行线法原理检测黄芩抑菌活性生物效价;采用HPLC法检测不同黄芩样品的化学指纹图谱;采用灰色关联法(GRA)辨识主要抑菌效应成分。结果表明,15批黄芩样品抑菌效价在0~1 000 U·g-1,平均抑菌效价为556.29 ±258.57 U·g-1(1 U约相当于2.25 μg庆大霉素的抑菌活性);15批黄芩样品的HPLC指纹图谱中共标定34个特征峰,样品间相似度为0.255~0.991;取灰色关联序前10位成分且与抑菌效价成正相关的P33、P30(黄芩素)、P19(黄芩苷)、P15、P29、P34、P31(汉黄芩素)、P28的8个成分并赋予权重,建立黄芩效应成分指纹谱,能够明确区分黄芩各规格等级样品,并能综合表征黄芩性状、成分、抑菌效价差异。综之,本研究构建了直接关切黄芩抑菌活性且信息简化的抑菌效应成分指纹谱,可综合评价黄芩质量,提高了中药指纹图谱的功效专属性和质量辨识能力,并可为其他中药质量综合评价提供有益参考。
关键词:    黄芩      生物效价检测      灰色关联分析      抑菌效应成分指纹谱     
Establishment of an antibacterially effective components fingerprint for quality evaluation of Scutellariae Radix (Huangqin)
REN Yong-shen, DENG Xin, LEI Lei, LIANG Shuai, ZHENG Yao, AI Jiao, LI Yan, LIAO Mao-chuan
School of Pharmaceutical Science, South-central University For Nationalities, Wuhan 430070, China
Abstract:
A chemical fingerprint is an important mean for quality control of traditional Chinese medicine (TCM); however, there is much redundant information in a conventional fingerprint that can affect its availability and accuracy. In this work, the antibacterial biopotency of Scutellariae Radix (Huangqin, HQ) was determined according to the parallel line method of quantitative response. HPLC was adopted to detect the chemical fingerprint of HQ; Grey relational analysis (GRA) was used to identify the primary effective components. The results showed that the antibacterial biopotency of 15 batches of HQ ranged from 0 to 1 000 U·g-1 and the average potency was 556.29 ±258.57 U·g-1 (1 U is equivalent to the bacteriostatic activity of 2.25 μg gentamicin). There were 34 characteristic peaks in the fingerprints of the samples and their similarities were 0.255-0.991. Eight components (P33, P30/baicalein, P19/baicalin, P15, P29, P34, P31/wogonin and P28) are positively related to antibacterial biopotency and selected from the top ten components of the grey correlation sequence to define the antibacterially effective components fingerprint of HQ. This fingerprint can clearly distinguish the commodity specification and grade, and can also characterize the morphology, components and the bacteriostatic potency differences of HQ. In summary, we established an antibacterially effective components fingerprint which provides simplified information on the antibacterial activity of Scutellariae Radix and could significantly improve the efficacy, specificity, and discriminative ability of the fingerprint for HQ, and could be a useful reference for the comprehensive quality evaluation of other TCM.
Key words:    Scutellariae Radix    antibacterial biopotency determination    grey relational analysis    antibacterial effective components fingerprint   
收稿日期: 2019-08-20
DOI: 10.16438/j.0513-4870.2019-0655
基金项目: 国家自然科学基金资助项目(81202935,81773893);国家“重大新药创制”科技重大专项资助项目(2017ZX09301060-001);国家重点研发计划“中医药现代化研究”课题资助(2017YFC1701004).
通讯作者: 任永申,E-mail:godreny@163.com;廖矛川,E-mail:sippr1976@163.com
Email: godreny@163.com;sippr1976@163.com
相关功能
PDF(1690KB) Free
打印本文
0
作者相关文章
任永申  在本刊中的所有文章
邓鑫  在本刊中的所有文章
雷蕾  在本刊中的所有文章
梁帅  在本刊中的所有文章
郑尧  在本刊中的所有文章
艾娇  在本刊中的所有文章
李燕  在本刊中的所有文章
廖矛川  在本刊中的所有文章

参考文献:
[1] Zheng YF, Wang JJ, Fu CM, et al. A review on chemical constituents an pharmacological effects of Radix[J]. Chin Tradit Pat Med (中成药), 2016, 38:141-147.
[2] Guo LL, Liu Y, Lu MJ, et al. Simultaneous determination of nine components of Scutellaria baicalensis in different habitats and growth years by HPLC[J]. Chin Tradit Herb Drugs (中草药), 2018, 49:935-940.
[3] Chinese Pharmacopoeia Committee. Pharmacopoeia of the People's Republic of China (中华人民共和国药典)[M]. Part 1. Beijing:China Medical Science Press, 2015:301-302.
[4] Wang YF, Li T, Tang ZH, et al. Progress on chemical composition and pharmacological activities of Scutellariae Radix[J]. Chin Arch Tradit Chin Med (中华中医药学刊), 2015, 33:206-211.
[5] Wang F, Zuo GY, Han J, et al. In vitro screen of anti-Staphylococcus aureus activity of 20 kinds of heat clearing and toxicity-removing Chinese herbal medicines[J]. Chin J Infect Control (中国感染控制杂志), 2013, 12:321-325.
[6] Zhao Q, Chen XY, Martin C. Scutellaria baicalensis, the golden herb from the garden of Chinese medicinal plants[J]. Sci Bull, 2016, 61:1391-1398.
[7] Liu SF, Cai H, Yang YJ, et al. Advance in grey incidence analysis modelling[J]. System Eng Theor Pract (系统工程理论与实践), 2013, 33:2041-2046.
[8] Liu SF. Emergence and development of grey system theory and its forward trends[J]. J Nanjing Univ Aeronaut (南京航空航天大学学报), 2004, 36:267-272.
[9] Zhang X, Yang QY, Lin GZ, et al. Grey relational analysis on association between urban air pollution and lung cancer in China[J]. Chin J Public Health (中国公共卫生), 2014, 30:165-170.
[10] Du T, Xie XJ, Liang HY, et al. County economy comprehensive evaluation and spatial analysis in chongqing city based on entropy weight-TOPSIS and GIS[J]. J Econ Geogr (经济地理), 2014, 34:40-47.
[11] Shen J, Shi SJ, Zhou Y, et al. Surface water environmental quality assessment of Danjiangkou valley based on improved grey correlation analysis[J]. Environ Monit China (中国环境监测), 2014, 30:41-46.
[12] Luo Y, Zhou CL, Liu XJ, et al. Application of the multi-level grey relational analysis method in operation assessment of thermal power units[J]. Proc Chin Soc Elect Eng (中国机电工程学报), 2012, 32:97-103+150.
[13] Li C, Zhang FR, Zhu TF, et al. Evaluation and correlation analysis of land use performance based on entropy-weight TOPSIS method[J]. Trans Chin Soc Agric Eng (农业工程学报), 2013, 29:217-227.
[14] Chen SL, Zhang LH, Chen C, et al. Discussion about research mode of Chinese materia medica based on grey system theory combined with multivariate analysis method[J]. Chin Tradit Herb Drugs (中草药), 2016, 47:1-5.
[15] Wei H, Lin L, Zhang Y, et al. Research on the application of grey system theory in the pattern recognition for chromatographic fingerprints of traditional Chinese medicine[J]. Chin J Chromatogr (色谱), 2013, 31:127-132.
[16] Liu SF. Grey System Theory and Application (灰色系统理论及其应用)[M]. Beijing:Science Press, 2010.
[17] China Association of Chinese Medicine. Commodity Specification Grade of Chinese Medicinal Materials-Scutellaria baicalensis Georgi:T/CACM-1021.18-2018(中药材商品规格等级-黄芩)[S]. Beijing:China Press of Tradit Chinese Medicine, 2018.
[18] Wang YH, Li Y, Zhang Y, et al. Multi-dimensional spectrum-effect relationship of the impact of Chinese herbal formula Lichong Shengsui Yin on ovarian cancer[J]. Molecules, 2017, 22:979.
[19] Song YS. Statistical Analysis on Data about Fingerprints of Chinese Medicine, Spectrum-Activity and Spectrum-Amount (中药指纹图谱数据及药效、药量数据的统计分析)[D]. Taiyuan:Shanxi University, 2012.
[20] Pan J, Liu DS, Yan GM. Research progress of data analysis applied to spectrum-effect of traditional Chinese medicine[J]. Acta Chin Med Pharm(中医药学报), 2018, 46:119-122.
[21] Li L, Pan QW, Liu H. Application of grey relational degree analysis in spectrum-effect of traditional Chinese medicine[J]. China Pharm(中国药房), 2018, 29:1581-1584.
[22] Ren YS, Yan D, Zhang P, et al. Hemagglutination activity of Radix Isatidis detected by microcalorimetry[J]. Acta Pharm Sin (药学学报), 2010, 45:1028-1034.
[23] Zhang TJ, Bai G, Liu CX. The concept, core theory and research methods of Chinese medicine quality markers[J]. Acta Pharm Sin (药学学报), 2019, 54:186-196.
[24] Zhang HZ, Tan P, Liu ZJ, et al. Activating blood biological potency assay and chemical fingerprint chromatogram applied to quality evaluation of rhubarb[J]. Acta Pharm Sin (药学学报), 2017, 52:436-422.