网络药理学和斑马鱼模型在中药药效物质及作用机制研究中的应用进展

doi:10.3976/j.issn.1002-4026.20240014

Abstract

Abstract:

Network pharmacology, which is highly consistent with the holistic and systematic perspectives of traditional Chinese medicine (TCM) with its multiple components and targets, has rapidly developed in the modernization of TCM. Experimental verification is one of the key contents of network pharmacology research. The zebrafish model has a complete system of drug metabolism, as well as a complex in vivo environment and target and pathway regulation mechanisms. Experiments that utilize this model have the advantages of low drug dosage, high throughput, and short cycle time. In recent years, the research mode that combines network pharmacology prediction with experimental validation using the zebrafish model has been widely applied to elucidate the effective substances and mechanisms of action of TCM. This study reviews the progress and development trends in the comprehensive application of network pharmacology and zebrafish modeling, aiming to provide a reference for their application in elucidating the modern scientific implications of the efficacy of TCM.

Key words: network pharmacology, zebrafish, traditional Chinese medicine, effective substances, mechanism, quality markers

CLC Number:

R285.5

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.

Figures/Tables 2

References 34

[1]	李天斯. 新医改背景下YD制药集团营销策略研究[D]. 北京: 北京建筑大学, 2020.
[2]	马飞. 中药标准化融通国际资源链[N]. 医药经济报, 2023-07-24( 1).
[3]	刘昌孝, 陈士林, 肖小河, 等. 中药质量标志物(Q-Marker): 中药产品质量控制的新概念[J]. 中草药, 2016, 47(9): 1443-1457. DOI: 10.7501/j.issn.0253-2670.2016.09.001.
[4]	蔡少青, 王璇, 尚明英, 等. 中药“显效理论” 或有助于阐释并弘扬中药特色优势[J]. 中国中药杂志, 2015, 40(17): 3435-3443. DOI: 10.4268/cjcmm20151720.
[5]	曾克武, 姜勇, 王晶, 等. 中药化学生物学:“中药化学” 与“生物学” 交叉形成的新兴学科[J]. 中国中药杂志, 2019, 44(5): 849-860. DOI: 10.19540/j.cnki.cjcmm.20190222.011.
[6]	王喜军. 中药药效物质基础研究的系统方法学:中医方证代谢组学[J]. 中国中药杂志, 2015, 40(1): 13-17. DOI: 10.4268/cjcmm20150103.
[7]	肖沐紫, 王思齐, 贾壮壮, 等. 基于网络药理学及实验验证探讨补肾定眩汤治疗高血压的作用机制[J]. 中国疗养医学, 2024, 33(2): 25-31. DOI:10.13517/j.cnki.ccm.2024.02.005.
[8]	王成金, 吕琳, 张玉琳, 等. 斑马鱼中高通量毒性测试方法研究进展和应用现状[J]. 生态毒理学报, 2023, 18(6): 60-67.
[9]	李蕙质, 周小玲, 杨玉杰, 等. 数据挖掘算法在中药方剂研究中的应用现状[J]. 中国药房, 2024, 35(1): 112-118.
[10]	刘志华, 孙晓波. 网络药理学:中医药现代化的新机遇[J]. 药学学报, 2017, 47(6) :696-703.DOI:10.16438/j.0513-4870.2012.06.001.
[11]	ZHONG Z G, LI Y Y, CHEN Y, et al. Predicting and exploring the mechanisms of erzhi pill in prevention and treatment of osteoporosis based on network pharmacology and zebrafish experiments[J]. Drug Design, Development and Therapy, 2021, 15: 817-827. DOI: 10.2147/DDDT.S293455. pmid: 33658763
[12]	FU S Q, WANG Z Y, JIANG Z M, et al. Integration of zebrafish model and network pharmacology to explore possible action mechanisms of Morinda officinalis for treating osteoporosis[J]. Chemistry & Biodiversity, 2020, 17(5): e2000056. DOI: 10.1002/cbdv.202000056.
[13]	LIU Y F, YANG G D, YANG C Q, et al. The mechanism of Houttuynia cordata embryotoxicity was explored in combination with an experimental model and network pharmacology[J]. Toxins, 2023, 15(1): 73. DOI: 10.3390/toxins15010073.
[14]	XUE T, XUE Y, FANG Y Y, et al. Exploring myocardial ischemia-reperfusion injury mechanism of cinnamon by network pharmacology, molecular docking, and experiment validation[J]. Computational and Mathematical Methods in Medicine, 2023, 2023: 1066057. DOI: 10.1155/2023/1066057.
[15]	LI Y Q, CHEN Y, FANG J Y, et al. Integrated network pharmacology and zebrafish model to investigate dual-effects components of Cistanche tubulosa for treating both Osteoporosis and Alzheimer’s Disease[J]. Journal of Ethnopharmacology, 2020, 254: 112764. DOI: 10.1016/j.jep.2020.112764.
[16]	ALEJANDRO P, CONSTANTINESCU F. A review of osteoporosis in the older adult: An update[J]. Rheumatic Diseases Clinics of North America, 2018, 44(3): 437-451. DOI: 10.1016/j.rdc.2018.03.004. pmid: 30001785
[17]	宋阔魁, 毕天, 展晓日, 等. 网络药理学指导下的中药有效成分发现策略[J]. 世界科学技术-中医药现代化, 2014, 16(1): 27-31.
[18]	ZHOU C Y, CHEN J, ZHANG H Z, et al. Investigation of the chemical profile and anti-inflammatory mechanisms of flavonoids from Artemisia vestita Wall. ex Besser via targeted metabolomics, zebrafish model, and network pharmacology[J]. Journal of Ethnopharmacology, 2023, 302:115932. DOI: 10.1016/j.jep.2022.115932.
[19]	YANG N J, LIU Y R, TANG Z S, et al. Poria cum Radix pinirescues Barium chloride-induced arrhythmia by regulating the cGMP-PKG signalling pathway involving ADORA1 in zebrafish[J]. Frontiers in Pharmacology, 2021, 12: 688746. DOI: 10.3389/fphar.2021.688746.
[20]	ZHANG M Q, LI P H, ZHANG S S, et al. Study on the mechanism of the Danggui-Chuanxiong herb pair on treating thrombus through network pharmacology and zebrafish models[J]. ACS Omega, 2021, 6(22): 14677-14691. DOI: 10.1021/acsomega.1c01847. pmid: 34124490
[21]	WANG D D, YANG Y, HENGERJIA G, et al. Exploring the mechanism of LiuweiDihuang formula for promoting melanin synthesis in juvenile zebrafish based on network pharmacology and molecular docking[J]. Heliyon, 2023, 9(11): e21744. DOI: 10.1016/j.heliyon.2023.e21744.
[22]	LIU W J, JIANG Z M, CHEN Y, et al. Network pharmacology approach to elucidate possible action mechanisms of Sinomenii Caulis for treating osteoporosis[J]. Journal of Ethnopharmacology, 2020, 257: 112871. DOI: 10.1016/j.jep.2020.112871.
[23]	HU Y X, YOU H M, REN C Z, et al. Proangiogenesis effects of compound Danshendripping pills in zebrafish[J]. BMC Complementary Medicine and Therapies, 2022, 22(1): 112. DOI: 10.1186/s12906-022-03589-y.
[24]	CHEN L Q, ZHOU X H, DENG Y J, et al. Zhenwu decoction ameliorates cardiac hypertrophy through activating sGC (soluble guanylate cyclase)-cGMP (cyclic guanosine monophosphate)-PKG (protein kinase G) pathway[J]. Journal of Ethnopharmacology, 2023, 300: 115705. DOI: 10.1016/j.jep.2022.115705.
[25]	张铁军, 白钢, 刘昌孝. 中药质量标志物的概念、核心理论与研究方法[J]. 药学学报, 2019, 54(2): 187-196. DOI: 10.16438/j.0513-4870.2018-0912.
[26]	刘昌孝. 基于中药质量标志物的中药质量追溯系统建设[J]. 中草药, 2017, 48(18): 3669-3676. DOI: 10.7501/j.issn.0253-2670.2017.18.001.
[27]	唐加龙, 周莉, 孙祖越, 等. 网络药理学在中医药治疗自身免疫性疾病中的应用[J]. 中国药理学通报, 2021, 37(3): 323-327. DOI: 10.3969/j.issn.1001-1978.2021.03.006.
[28]	罗林, 张晏源, 王程, 等. 基于UPLC-Q-TOF-MS联合网络药理学探讨驱虫斑鸠菊注射液诱导黑色素积累的作用机制[J]. 中国中药杂志, 2023, 48(6): 1606-1619. DOI: 10.19540/j.cnki.cjcmm.20221201.703.
[29]	WEI Y H, NIE L, GAO L L, et al. An integrated strategy to identify and quantify the quality markers of Xinkeshu Tablets based on spectrum-effect relationship, network pharmacology, plasma pharmacochemistry, and pharmacodynamics of zebrafish[J]. Frontiers in Pharmacology, 2022, 13: 899038. DOI: 10.3389/fphar.2022.899038.
[30]	DONG R, ZHANG Y G, CHEN S J, et al. Identification of key pharmacodynamic markers of American ginseng against heart failure based on metabolomics and zebrafish model[J]. Frontiers in Pharmacology, 2022, 13: 909084. DOI: 10.3389/fphar.2022.909084.
[31]	SHI Y P, ZHANG Y G, LI H N, et al. Discovery and identification of antithrombotic chemical markers in Gardenia Fructus by herbal metabolomics and zebrafish model[J]. Journal of Ethnopharmacology, 2020, 253: 112679. DOI: 10.1016/j.jep.2020.112679.
[32]	吕维红. 中药炮制与临床疗效的关系[J]. 中国城乡企业卫生, 2006, 21(1): 61-63. DOI:10.3969/j.issn.1003-5052.2006.01.041.
[33]	肖建鹏. 基于网络药理学和PK-PD结合模型阐释酒女贞子抗骨质疏松增效机理[D]. 镇江: 江苏大学, 2022.
[34]	陈春妮. 基于代谢组学和网络药理学技术探讨黄芩总黄酮改善阿尔茨海默症的作用机制[D]. 太原: 山西大学, 2023.

Advancements in network pharmacology and zebrafish modeling for studying traditional Chinese medicine’s effective substances and mechanisms of action

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