基于网络药理学方法的黄芩现代药理活性挖掘及其作用机制分析

doi:10.3976/j.issn.1002-4026.2019.05.006

Abstract

Abstract: In this study, the chemical constituents of a standard decoction of Scutellaria baicalensis Georgi are identified by using high-performance liquid chromatography, electrospray ionization, and quadrupole time-of-flight mass spectrometry. It can be observed that the Scutellaria baicalensis Georgi decoction mainly contains eight flavonoids. The possible targets of the eight flavonoids and their related diseases are predicted by using the network pharmacology method. Scutellaria baicalensis Georgi not only exhibits anti-inflammatory and anticancer activities but also exhibits other various pharmacological activities in case of other instances such as edema, poisoning, hypertension, hemorrhage, and heart diseases. Based on pathway enrichment analysis, Scutellaria baicalensis Georgi can be observed to exert multiple pharmacological activities mainly by regulating the metabolic pathway, the adipocyte metabolic pathway, the arachidonic acid metabolism, 5-hydroxytryptamine synapse, the arginine biosynthesis, and the calcium signaling pathway. The results demonstrate that the network pharmacology method can be used in case of the pharmacological mechanism of traditional Chinese medicine, providing distinct explanation for its biological effects.

Key words: Scutellaria baicalensis Georgi, chemical composition, network pharmacology, investigation of traditional effects, mechanism

CLC Number:

R285.5

DONG Hong-jing, YAO Xue, MU Yan, MA Shuang-shuang, GENG Yan-ling, LIU Feng, LIU Wei. Investigation of the pharmacological activity and mechanism of Scutellaria baicalensis Georgi based on the network pharmacology method for explaining its traditional effect[J].Shandong Science, 2019, 32(5): 54-61.

References 31

1	国家药典委员会. 中华人民共和国药典2015年版一部 [M]. 北京：中国医药科技出版社，2015：301.
2	吉晓丽. 黄芩的化学成分与药理作用研究进展 [J]. 中医临床研究，2017，9（9）：128-129. doi: 10.3969/j.issn.1674-7860.2017.09.061
3	崔孟颖，柳洁，杨蕾，等. 黄芩，由古籍里走进现代生活的药用植物 [J]. 世界科学技术-中医药现代化，2016，18（11）：1921-1928. doi: 10.11842/wst.2016.11.014
4	张明华，顾俊菲，封亮，等. 中药“多维结构过程动态质量控制体系”的研究策略和实践 [J]. 中国中药杂志，2013，38（21）：3608-3612. doi: 10.4268/cjcmm20132102
5	陈启洪，李晓飞，段灿灿，等. 网络药理学探讨杜仲主要活性成分及其药理作用机制 [J]. 中药材，2018，41（2）：419-426. doi: 10. 13863 /j.issn1001-4454.2018.02.039
6	尚博扬，杨萍，陈丽，等. 苦豆子中生物碱成分的网络药理学研究 [J]. 中国中药杂志，2018，43（1）：160-167. doi: 10.19540/j.cnki.cjcmm.20171027.017
7	师帅，胡元会，吴华芹，等. “丹参-三七”药对作用机制的网络药理学探讨 [J]. 中国实验方剂学杂志，2018, 24（18）：192-197. doi: 10.13422/j.cnki.syfjx.20181826
8	XUE J T, SHI Y L, LI C Y, et al. Network pharmacology-base prediction of the active ingredients, potential targets, and signaling pathways in compound Lian-Ge granules for treatment of diabetes [J]. Journal of cellular biochemistry, 2019, 120: 6431-6440. doi: 10.1002/jcb.27933
9	DING M Y, LI Z, YU X A, et al.A network pharmacology-integrated metabolomics strategy for clarifying the difference between effective compounds of raw and processed Farfarae flos by ultra high-performance liquid chromatography-quadrupole-time of flight mass spectrometry [J]. Journal of Pharmaceutical and Biomedical Analysis, 2018, 156, 349-357. doi: 10.1016/j.jpba.2018.05.003
10	张雨，李恒，李克宁，等. 复方中药网络药理学的研究进展 [J]. 中成药，2018，40（7）：1584-1588. doi: 10.3969/j.issn.1001-1528.2018.07.029
11	郝翠，段文娟，赵恒强，等. 黄芩配方颗粒与标准汤剂体外抗炎活性的比较 [J]. 中国新药杂志，2018，27（11）：1309-1314.
12	QIAO X, LI R, SONG W, et al. A targeted strategy to analyze untargeted mass spectral data: Rapid chemical profiling ofScutellaria baicalensis using ultra-high performance liquid chromatography coupled with hybrid quadrupole orbitrap mass spectrometry and key ion filtering [J]. Journal of Chromatography A, 2016, 1441: 83-95. doi: 10.1016/j.chroma.2016.02.079
13	Royal Society of Chemistry. ChemSpider [EB/OL]. [2018-10-12]. http://www.chemspider.com/.
14	SIB.Swiss Target Prediction [EB/OL]. [2018-10-12]. http://www.swisstargetprediction.ch.
15	MDI Biological Laboratory & NC State University. Comparative Toxicogenomics Database[EB/OL]. [2018-10-12]. http://ctdbase.org/.
16	LHRI.The Database for Annotation, Visualization and Integrated Discovery [EB/OL]. [2018-10-12]. https://david.ncifcrf.gov/.
17	吕学英. PTGS1及COX-2 基因与家族聚集性脑卒中关系的研究 [D]. 泰安：泰山医学院，2015.
18	胡翥，王浩文，安林坤. 酪胺酸-DNA磷酸二酯酶：潜在的肿瘤治疗靶点 [J]. 药学学报，2016，51（2）：215-225. doi: 10.16438/j.0513-4870.2015-0974
19	王皓香. 腺苷受体A1与A2A相互作用对缺血性脑损伤的影响 [D].重庆：第三军医大学，2013.
20	韩晶. 电针对炎性大鼠相关受体信号和信号转导通路的作用机制研究 [D]. 济南：山东中医药大学，2013.
21	王春. AKRB10在结肠癌和肺癌细胞生长中的作用及机制 [D]. 长沙：中南大学，2009.
22	郑勇凤，王佳婧，傅超美，等. 黄芩的化学成分与药理作用研究进展 [J]. 中成药，2016，38（1）：141-147. doi: 10.3969/j.issn.1001-1528.2016.01.032
23	THANH H N,MINH H P T,LE T A, et al. Ethanol extracts of Scutellaria baicalensis protect against lipopolysaccharide-induced acute liver injury in mice [J]. Asian Pacific Journal of Tropical Biomedicine, 2015, 5(9):733-738. doi: 10.1016/j.apjtb.2015.07.007
24	YOON S B, LEE Y J, PARK S K, et al. Anti-inflammatory effects of Scutellaria baicalensis water extract on LPS-activated RAW264.7 macrophages [J]. Journal of Ethnopharmacology, 2009, 125(2): 286-290. doi: 10.1016/j.jep.2009.06.027
25	SONG K H, LEE S H,KIM B Y, et al. Extracts of Scutellaria baicalensis reduced body weight and blood triglyceride in db/db mice [J]. Phytotherapy Research, 2013, 27(2): 244-250. doi: 10.1002/ptr.4691
26	NAN J X,PARK E J,KIM Y C, et al.Scutellaria baicalensis inhibits liver fibrosis induced by bile duct ligation or carbon tetrachloride in rats [J]. Pharmacy and Pharmacology, 2002, 54(4):555-563. doi: 10.1211/0022357021778673
27	CHAN E, LIU XX, GUO D J, et al. Extract of Scutellaria baicalensis Georgi root exerts protection against myocardial ischemia-reperfusion injury in rats [J]. The American Journal of Chinese Medicine, 2011, 39 (4):693-704. doi: 10.1142/S0192415X11009135
28	SHIN J W, KANG H C, SHIM J, et al. Scutellaria baicalensis attenuates blood-brain barrier disruption after intracerebral hemorrhage in rats [J]. The American Journal of Chinese Medicine, 2012, 40 (1): 85-96. doi: 10.1142/S0192415X12500073
29	KIM D S, KIM S H, CHA J.Antiobesity effects of the combined plant extracts varying the combination ratio of phyllostachys pubescens leaf extract and Scutellaria baicalensis root extract [J]. Evidence-Based Complementary and Alternative Medicine, 2016, 2016:9735276. doi: 10.1155/2016/9735276
30	CHENG Y X, HE G R,MU X, et al. Neuroprotective effect of baicalein against MPTP neurotoxicity: Behavioral, biochemical and immunohistochemical profile [J]. Neuroscience Letters, 2008, 441(1): 16-20. doi: 10.1016/j.neulet.2008.05.116
31	CHEN H M, HSU J H, LIOU S F, et al. Baicalein, an active component of Scutellaria baicalensis Georgi, prevents lysophosphatidylcholine-induced cardiac injury by reducing reactive oxygen species production, calcium overload and apoptosis via MAPK pathways [J]. BMC Complementary and Alternative Medicine, 2014, 14: 233. doi: 10.1186/1472-6882-14-233

[1]	LIU Shuang, DONG Hongjing, CHEN Panpan, WANG Xiao. Research progress on the mechanisms by which natural phenolic compounds alleviate hyperuricemia [J]. Shandong Science, 2024, 37(2): 12-19.
[2]	LUO Yaqin, HUANG Wei. Progress in the research on the mechanism of action of Scutellaria baicalensis and its active ingredients in treating ulcerative colitis [J]. Shandong Science, 2024, 37(2): 20-28.
[3]	LIU Kechun, WANG Yongcheng, ZANG Xiaohan, XIA Qing, ZHANG Yun, ZHANG Shanshan, SUN Chen. Advancements in network pharmacology and zebrafish modeling for studying traditional Chinese medicine’s effective substances and mechanisms of action [J]. Shandong Science, 2024, 37(2): 29-35.
[4]	FU Zhaoju, CHENG Guo, LIN Dengmei, LI Jun, ZHANG Nannan. Experimental study and network pharmacological analysis of the anti-inflammatory action mechanism of Mahonia bealei (Fort.) Carr. [J]. Shandong Science, 2024, 37(1): 24-31.
[5]	ZHANG Hanxiao, LIU Yuran, LIU Yuan, NIU Zichen. A multitask learning model for the prediction of short-term subway passenger flow [J]. Shandong Science, 2024, 37(1): 95-106.
[6]	CHEN Chun, QI Daqing, PAN Jingwen. Clinical significance of stromal cell score in gastric cancer and intervention with Weifuchun capsules [J]. Shandong Science, 2023, 36(6): 38-47.
[7]	MU Nana, LIAO Binbin, LI Zhen, LI Jipin, LI Yihua, WANG Ying, CHEN Xubing. Investigating the mechanism of action of Elephantopus scaber L. in the treatment of ulcerative colitis based on network pharmacology and molecular docking [J]. Shandong Science, 2023, 36(6): 48-55.
[8]	HE Zhenbo, ZHANG Li, GAO Mingxin, LUAN Lingyu. Research progress of green scale inhibitors for circulating cooling water [J]. Shandong Science, 2023, 36(5): 102-120.
[9]	WANG Yifan, ZHANG Zhe, TIAN Caijun. Mechanism of Sanhuang Xiexin decoction in treatment of Alzheimer's disease based on network pharmacology and molecular docking method [J]. Shandong Science, 2023, 36(5): 19-26.
[10]	FU Mengya, AO Huihao, BU Chao, PENG Tangyi, WU Deling, HAN Yanquan, HONG Yan. Forecast analysis of the quality markers of Zingiberis Rhizoma based on fingerprints and network pharmacology [J]. Shandong Science, 2023, 36(4): 35-41.
[11]	WEN Yuya, DONG Ting, JIANG Zhangsheng, CHEN Jie, TIAN Liwei, ZHAO Chenling, TANG Lulu. The mechanism of Gandouling tablet in alleviating hepatolenticular degeneration neuroinflammation via the regulation of the TLR4/NF-κB/NLRP3 signaling pathway [J]. Shandong Science, 2023, 36(4): 42-51.
[12]	YIN Zhipeng, GAO Yunyun, LIU Wenwen, GUO Pengbo, ZHAO Yinghui. Exploring the mechanism of Xiangsha Liujunzi Decoction in treating Helicobacter pylori-associated gastritis based on network pharmacology and molecular docking technology [J]. Shandong Science, 2023, 36(4): 52-60.
[13]	SUN Tiefeng, DONG Limin, JIAO Ziqi, WANG Ping. Exploration of the dosing pattern and anti-respiratory syncytial virus mechanism of traditional Chinese medicine based on data mining and network pharmacology [J]. Shandong Science, 2023, 36(3): 1-9.
[14]	ZHU Jie, WANG Zheng, LIANG Yanni. The mechanism of Xiaoqinglong Decoction in treatment of COVID-19 based on network pharmacology [J]. Shandong Science, 2023, 36(3): 10-17.
[15]	DONG Pengjun, CAI Bin. Action mechanism of the herb pair Aurantii Fructus Immaturus-Magnoliae Officinalis Cortex in the treatment of slow transit constipation based on network pharmacology and metabolomics [J]. Shandong Science, 2023, 36(3): 18-26.

Investigation of the pharmacological activity and mechanism of Scutellaria baicalensis Georgi based on the network pharmacology method for explaining its traditional effect

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References 31

Related Articles 15

Metrics

Comments

Recommended 0