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Data mining based on the dosage pattern of Chinese herbal compound patents for the treatment of influenza

Published on Aug. 01, 2024Total Views: 994 times Total Downloads: 257 times Download Mobile

Author: LI Zhen 1, 2 HUANG Xiajin 1, 2 YIN Wenjing 1, 2 WANG Haifeng 1, 2

Affiliation: 1. Department of Respiratory Medicine, The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450000, China 2. The First Clinical Medical College of Henan University of Traditional Chinese Medicine, Zhengzhou 450046, China

Keywords: Influenza Chinese herbal compound Patent Association rules Factor analysis Cluster analysis Medication pattern

DOI: 10.12173/j.issn.1005-0698.202404043

Reference: LI Zhen, HUANG Xiajin, YIN Wenjing, WANG Haifen.Data mining based on the dosage pattern of Chinese herbal compound patents for the treatment of influenza[J].Yaowu Liuxingbingxue Zazhi,2024, 33(7):731-742.DOI: 10.12173/j.issn.1005-0698.202404043.[Article in Chinese]

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Abstract

Objective  To explore the medication pattern of Chinese herbal compound patents for the treatment of influenza in the patent database of CNKI.

Methods  The Chinese herbal compound for treating influenza included in the patent database of CNKI from the inception to March 25, 2024 were searched, and the frequency of use and the properties, taste and attributive meridians of Chinese herbal compound that conformed to the screening standard were  analyzed by Microsoft Office Excel 2019 software. The Apriori algorithm of IBM SPSS Modeler 18.0 was used to analyze the association rules of the high frequency medicines. The factor analysis and cluster analysis of IBM SPSS Statistics 25.0 was applied to screen the core pairs and combinations of medicines. The drugs were analyzed by association rules. The high-frequency drugs were analyzed by factor analysis and cluster analysis using IBM SPSS Statistics 25.0, and the core pairs and drug combinations were screened out.

Results  A total of 451 Chinese herbal compound patents were included, involving 685 TCM flavors, with a total medication frequency of 4 469 times. The most frequently used Chinese medicines were, in order, honeysuckle, roasted licorice, forsythia, scutellaria baicalensis, panax quinquefolium, mint, etc. The medicinal properties were mainly cold, the medicinal taste was mainly bitter, and the attributive meridians were mostly attributed to the lung meridian. The core drug combinations include honeysuckle-forsythia-baked licorice, forsythia-burdock-honeysuckle, etc. The core drug pairs and common drug combinations for the treatment of influenza were obtained.

Conclusion  Chinese herbal compound patents in the treatment of influenza mostly uses bitter and cold products, and the main treatment principle is to clear heat and detoxify toxins, taking into account the treatments of dispersing wind-heat, relieving epidemiological cold, transforming dampness and awakening the spleen, and benefiting qi to consolidate the epidemiology, etc. The excavation of the core pairs of medicines and combinations of medicines has provided a wider range of ideas for a better treatment of influenza and for the research and development of new medicines.

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References

1.中华中医药学会急诊分会. 中医药治疗流感临床实践指南(2021)[J]. 中医杂志, 2022, 63(1): 85-98. DOI: 10.13288/j.11-2166/r.2022.01.016.

2.Peteranderl C, Herold S, Schmoldt C. Human influenza virus infections[J]. Semin Respir Crit Care Med, 2016, 37(4): 487-500. DOI: 10.1055/s-0036-1584801.

3.白易,刘志科,詹思延. 孕产妇流感及疫苗的流行病学研究进展[J]. 药物流行病学杂志, 2023, 32(3): 313-322. [Bai Y, Liu ZK, Zhan SY. Progress in epidemiological research of influenza and vaccine in pregnant women[J]. Chinese Journal of Pharmacoepidemiology, 2023, 32(3): 313-322.] DOI: 10.19960/j.issn.1005-0698.202303009.

4.Doyon-Plourde P, Fakih I, Tadount F, et al. Impact of influenza vaccination on healthcare utilization-a systematic review[J]. Vaccine, 2019, 37(24): 3179-3189. DOI: 10.1016/j.vaccine.2019.04.051.

5.McCullers JA. Antiviral therapy of influenza[J]. Expert Opin Investig Drugs, 2005, 14(3): 305-312. DOI: 10.1517/ 13543784.14.3.305.

6.中国医师协会急诊医师分会, 中华医学会急诊医学分会, 中国急诊专科医联体, 等. 成人流行性感冒诊疗规范急诊专家共识(2022版)[J]. 中国急救医学, 2022, 42(12): 1013-1026. DOI: 10.3969/j.issn.1002-1949. 2022.12.001.

7.李修元, 刘林洁, 敖素华. 中医药治疗流行性感冒的研究进展[J]. 西南医科大学学报, 2022, 45(2): 181-184. [Li XY, Liu LJ, Ao SH. Research progress in traditional Chinese medicine treatment of influenza[J]. Journal of Luzhou Medical College, 2022, 45(2): 181-184.] DOI: 10.3969/j.issn.2096-3351.2022.02.019.

8.韦柳婷, 高松林, 吴凡, 等. 专利中药复方治疗肝纤维化的用药规律及机制研究[J]. 科学技术与工程, 2024, 24(8): 3133-3144. [Wei LT, Gao SL, Wu F, et al. Medication regularity and mechanism of patented Chinese herbal compounds in treating hepatic fibrosis[J]. Science Technology and Engineering, 2024, 24(8): 3133-3144.] DOI: 10.12404/j.issn.1671-1815.2303647.

9.中国药典2020年版[S]. 一部. 2020: 1-404.

10.沈丕安, 主编. 中华本草[M]. 上海: 上海科学普及出版社, 2017: 3-273.

11.钟赣生, 主编. 中药学, 新世纪第4版[M]. 北京: 中国中医药出版社, 2016: 53-459.

12.王誉儒, 王亚勤, 李英杰, 等. 中医药治疗新冠病毒轻型感染用药规律及疗效分析[J]. 中华中医药学刊, 2024, 42(5): 8-13, 262. [Wang YR, Wang YQ, Li YJ, et al. Analysis of medication rules and clinical efficacy in traditional Chinese medicine for treatment to mild symptoms with COVID-19[J]. Chinese Journal of Traditional Chinese Medicine, 2024, 42(5): 8-13, 262.] DOI: 10.13193/j.issn.1673-7717.2024.05.002.

13.龚蓓, 苏励, 孙鼎. 基于VOSviewer软件的系统性红斑狼疮、干燥综合征中药处方可视化分析[J]. 华西医学, 2023, 38(6): 884-891. [Gong B, Su L, Sun D. Visual analysis of traditional Chinese medicine prescription for systemic lupus erythematosus and Sjögren syndrome based on VOSviewer software[J]. West China Medical Journal, 2023, 38(6): 884-891.] DOI: 10.7507/1002-0179. 202302159.

14.周雨慧, 芦锰, 苗明三. 基于关联规则的中药治疗血管性痴呆用药规律分析[J]. 药物流行病学杂志, 2019, 28(9): 567-572. [Zhou YH, Lu M, Miao MS. Chinese medicine treatment of vascular dementia based on association rules and factor analysis[J]. Chinese Journal of Pharmacoepidemiology, 2019, 28(9): 567-572.] DOI: 10.19960/j.cnki.issn1005-0698.2019.09.003.  

15.张文风, 李岩珂. 金银花治疫古今探微[J]. 长春中医药大学学报, 2023, 39(11): 1193-1196. [Zhang WF, Li  YK. Ancient and modern exploration on the treatment of epidemic diseases with honeysuckle bud and flower[J]. Journal of Changchun University of Chinese Medicine, 2023, 39(11): 1193-1196.] DOI: 10.13463/j.cnki.cczyy. 2023.11.003.

16.韦晶玥, 罗诗雯, 冯龄燃, 等. 金银花与山银花活性成分抗炎作用及机制研究进展[J]. 中国实验方剂学杂志, 2024, 30(11): 273-281. [Wei JY, Luo SW, Feng LR, et al. Anti-inflammatory effect and mechanism of active constituents from Lonicerae Japonicae Flos and Lonicerae Flos: a review[J]. Chinese Journal of Experimental Traditional Medical Formulae, 2024, 30(11): 273-281.] DOI: 10.13422/j.cnki.syfjx.20240507.

17.王钧楠, 周永峰, 崔园园, 等. 基于抗炎生物效价的甘草传统感官评价科学性研究[J]. 中国现代中药, 2022, 24(6): 1018-1025. [Wang JN, Zhou YF, Cui YY, et al. Scientificity of traditional sensory evaluation of licorice based on anti-inflammatory potency[J]. Modern Chinese Medicine, 2022, 24(6): 1018-1025.] DOI: 10.13313/j.issn. 1673-4890.20211201002.

18.林燕. 常用预防治疗具有抗病毒生物活性的中药及其药效成分的研究进展[J]. 海峡药学, 2021, 33(3): 1-7. [Lin Y. Research progress on antiviral effect of traditional Chinese medicine and its bioactive constituents[J]. Strait Pharmaceutical Journal, 2021, 33(3): 1-7.] DOI: 10.3969/j.issn.1006-3765.2021.03.001.

19.闫久江, 孟杰, 刘树民, 等. 复方芩兰口服液抗病毒物质基础及作用机制研究进展[J]. 中草药, 2023, 54(6): 2005-2011. [Yan JJ, Meng J, Liu SM, et al. Research progress of antiviral material basis and mechanism of compound Qinlan Oral liquid[J]. Chinese Traditional and Herbal Drugs, 2023, 54(6): 2005-2011.] DOI: 10.7501/j.issn.0253-2670.2023.06.033.

20.王小花, 闫昌誉, 余桂媛, 等. 黄芩抗病毒作用的研究进展及临床应用[J]. 今日药学, 2021, 31(11): 874-880. [Wang XH, Yan CY, Yu GY, et al. Research progress and clinical application of Scutellaria baicalensis against viral infection[J]. Pharmacy Today, 2021, 31(11): 874-880.] DOI: 10.12048/j.issn.1674-229X.2021.11.015.

21.吕佳桦, 朱婵, 唐宗湘. 中药药性中"苦味"形成机制及生物学意义[J]. 广西师范大学学报(自然科学版), 2022, 40(5): 324-331. [Lyu JH, Zhu C, Tang ZX. Formation mechanism and biological significance of bitterness in traditional Chinese medicine[J]. Journal of Guangxi Normal University (Natural Science Edition), 2022, 40(5): 324-331.] DOI: 10.16088/j.issn.1001-6600.2021100801.

22.肖雨函, 王乃智, 张静雯, 等. 基于数据挖掘的植物类中药寒热药性-功效-靶点关联性研究[J]. 中国中医药信息杂志, 2017, 24(6): 91-96. [Xiao YH, Wang  NZ, Zhang JW, et al. Correlation study on "Cold or Heat Property-Efficacy-Target" of herbal Chinese materia medica based on data mining[J]. Chinese Journal of Information on TCM, 2017, 24(6): 91-96.] DOI: 10.3969/j.issn.1005-5304.2017.06.023.

23.张喜莲, 马融, 王泓午, 等. 2019-2020年中国9  472 例流行性感冒确诊患儿中医证候横断面调查 [J]. 天津中医药, 2023, 40(12): 1497-1505. [Zhang XL, Ma  R, Wang HW, et al. Cross sectional investigation on traditional Chinese medicine syndrome of 9 472 confirmed cases of children with influenza in China from 2019 to 2020[J]. Tianjin Journal of Traditional Chinese Medicine, 2023, 40(12): 1497-1505.] DOI: 10.11656/j.issn.1672-1519. 2023.12.01.

24.李溦, 王颖, 李璐琦, 等. 厦门地区儿童流行性感冒证候特点及中医证型分布规律研究[J]. 医学信息, 2023, 36(14): 65-69. [Li W, Wang Y, Li LQ, et al. Study on the symptom characteristics and distribution of TCM syndromes of influenza in children in Xiamen area[J]. Medical Information, 2023, 36(14): 65-69.] DOI: 10.3969/j.issn.1006-1959.2023.14.012.

25.徐慧聪, 欧爱华, 邓屹琪, 等. 852例广州及周边地区流感患者临床特点及中医辨证分型研究[J]. 中医药导报, 2021, 27(1): 182-185. [Xu HC, Ou AH, Deng YQ, et al. Investigation of the epidemiology and TCM syndrome characteristics of 852 cases infected with influenza in Guangzhou[J]. Guiding Journal of Traditional Chinese Medicine and Pharmacology, 2021, 27(1): 182-185.] DOI: 10.13862/j.cnki.cn43-1446/r.2021.01.043.

26.清•叶天士, 编著. 魏汉奇, 袁宝庭, 注评. 温热论注评[M]. 北京: 中医古籍出版社, 1993: 1.

27.唐•王冰, 编著. 黄帝内经素问[M]. 北京: 人民卫生出版社, 1963: 194.

28.韩愈杰, 李定刚, 杨鹤云, 等. 基于网络药理学探讨连翘、金银花药对挥发油抗流感作用机制的研究[J]. 黑龙江畜牧兽医, 2022(6): 120-124, 140-141. [Han  YJ, Li DG, Yang HY, et al. Study on the mechanism of the anti-influenza role of Forsythia and Lonicera japonica on volatile oil based on network pharmacology[J]. Heilongjiang Animal Husbandry and Veterinary Medicine, 2022(6): 120-124, 140-141.] DOI: 10.13881/j.cnki.hljxmsy.2021. 05.0234.

29.潘曌曌, 王雪峰, 岳志军, 等. 银翘散主要活性成分对流感病毒性肺炎小鼠治疗作用的研究[J]. 中医儿科杂志, 2011, 7(4): 17-20. [Pan ZZ, Wang XF, Yue ZJ, et al. Efficacy study of the main active ingredients of Yinqiao powder in treating influenza virus pneumonia in mice[J]. Journal of Chinese Pediatrics, 2011, 7(4): 17-20.] DOI: 10.3969/j.issn.1673-4297.2011.04.008.

30.李岳, 杨甜甜, 周新苗, 等. 柴胡-黄芩药对功效及临床应用[J]. 中成药, 2022, 44(11): 3721-3723. [Li Y, Yang TT, Zhou XM. The efficacy and clinical application of Chaihu Huangqin medicinal pair[J]. Chinese Traditional Patent Medicine, 2022, 44(11): 3721-3723.] DOI: 10.3969/j.issn.1001-1528.2022.11.058.

31.郭晏华, 沙明, 孟宪生, 等. 中药羌活的抗病毒研究[J]. 时珍国医国药, 2005, 16(3): 198-199. [Guo  YH, Sha M, Meng XS, et al. The anti-viral studies of Notopterygium incisum[J]. Lishizhen Medicine and Materia Medica Research, 2005, 16(3): 198-199.] DOI: 10.3969/j.issn.1008-0805.2005.03.005.

32.常潞, 荆文光, 程显隆, 等. 防风化学成分药理作用研究进展及质量标志物预测分析[J]. 中国现代中药, 2022, 24(10): 2026-2039. [Chang  L, Jing  WG, Cheng  XL, et al. Research progress on chemical constituents and pharmacological effects of Saposhnikoviae Radix and predictive[J]. Modern Chinese Medicine, 2022, 24(10): 2026-2039.] DOI: 10.13313/j.issn.1673-4890. 20211115003.

33.吴作敏, 杨娟, 王隆隆, 等. 黄芪-防风药对治疗新型冠状病毒肺炎的网络药理学研究[J]. 中国药物警戒, 2022, 19(4): 395-399, 412. [Wu ZM, Yang J, Wang  LL, et al. Network pharmacology of Astragalus-Rhizoma Saposhnikovia divaricata drug pair in the treatment of COVID-19[J]. Chinese Journal of Pharmacovigilance, 2022, 19(4): 395-399, 412.] DOI: 10.19803/j.1672-8629. 2022.04.11.

34.肖先, 李春燕, 薛金涛. 大黄的主要化学成分及药理作用研究进展[J]. 新乡医学院学报, 2024, 41(5): 486-490, 496. [Xiao X, Li CY, Xue JT. Research progress on main chemical constituents and pharmacological effects of Radix et Rhizoma Rhei[J]. Journal of Xinxiang Medical University, 2024, 41(5): 486-490, 496.] DOI: 10.7683/xxyxyxb.2024.05.016.

35.赵延平, 吴百灵. 麻杏石甘汤加减治疗热毒袭肺型流行性感冒临床疗效观察[J]. 中医药临床杂志, 2022, 34(8): 1536-1539. [Zhao YP, Wu BL. Clinical observation on treatment of heat toxin attacking lung type influenza by modified Maxing Shigan decoction[J]. Clinical Journal of Traditional Chinese Medicine, 2022, 34(8): 1536-1539.] DOI: 10.16448/j.cjtcm.2022.0838.

36.张锡纯, 主著. 医学衷中参西录[M]. 太原: 山西出版集团, 2009: 563.

37.Li J, Zhou BX, Li CF, et al. Lariciresinol-4-O-β-D glucopyranoside from the root of isatis indigotica inhibits influenza a virus-induced pro-inflammatory response[J]. J Ethnopharmacol, 2015, 174: 379-386. DOI: 10.1016/j.jep. 2015.08.037.

38.He M, Min JW, Kong WL, et al. A review on the pharmacological effects of vitexin and isovitexin[J]. Fitoterapia, 2016, 115: 74-85. DOI: 10.1016/j.fitote.2016. 09.011.

39.刘旭凌, 李季, 邵周俊, 等. 桑菊饮加减合银翘散治疗流感病毒感染外感发热的临床研究[J]. 中国中医急症, 2023, 32(10): 1733-1736. [Liu XL, Li J, Shao ZJ, et al. Clinical study on the treatment of exogenous fever caused by influenza virus infection with Sangju drink plus Yinqiao[J]. Journal of Emergency in Traditional Chinese Medicine, 2023, 32(10): 1733-1736.] DOI: 10.3969/j.issn. 1004-745X.2023.10.008.

40.清•张秉成, 编著. 杨威, 校注. 成方便读[M]. 北京: 中国中医药出版社, 2002: 21.

41.李林生. 银翘散加味联合奥司他韦治疗甲型H1N1流感病毒性肺炎的疗效观察[J]. 中医临床研究, 2021, 13(5): 35-37. [Li LS. The therapeutic effect of modified Yinqiao San plus oseltamivir on H1N1 influenza virus pneumonia[J]. Clinical Journal of Chinese Medicine, 2021, 13(5): 35-37.] DOI: 10.3969/j.issn.1674-7860. 2021.05.009.

42.刘芳. 银翘散加减治疗甲型H1N1流感180例疗效观察[J]. 中医药导报, 2011, 17(4): 91. DOI: 10.3969/j.issn. 1672-951X.2011.04.049.

43.李云, 张誉腾, 李钰昕, 等. 基于《中华医典》中医药治疗时行感冒的用药分析[J]. 世界中医药, 2022, 17(14): 2041-2045. [Li Y, Zhang YT, Li YX, et al. Medication rules of Chinese Medicines in the treatment of influenza based on the Chinese medical classics[J]. World Chinese Medicine, 2022, 17(14): 2041-2045.] DOI: 10.3969/j.issn.1673-7202.2022.14.016.

44.鲁玉强, 付琳, 郝玉麒, 等. 基于数据挖掘的抗流感病毒中药用药规律研究[J]. 中国中西医结合儿科学, 2022, 14(2): 101-106. [Lu YQ, Fu L, Hao YQ, et al. Study on the medication rule of Chinese medicine against influenza virus based on data mining[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2022, 14(2): 101-106.] DOI: 10.3969/j.issn.1674-3865.2022. 02.002.

45.李悦, 李萌, 王学岭, 等. 基于数据挖掘的重症流感样病例的中医用药规律研究[J]. 世界科学技术-中医药现代化, 2020, 22(11): 4039-4043. [Li Y, Li M, Wang XL, et al. Study on medication regularity of traditional Chinese medicine in cases of severe influenza based on data mining[J]. World Science and Technology-Modernization of Traditional Chinese Medicine, 2020, 22(11): 4039-4043.] DOI: 10.11842/wst.20200213001.

46.马林纳, 苗明三. 基于数据挖掘的中药治疗流行性感冒用药规律分析[J]. 中国现代应用药学, 2020, 37(7): 837-841. [Ma LN, Miao MS. Analysis on the rule of Chinese traditional medicine in treating influenza based on data mining[J]. Chinese Journal of Modern Applied Pharmacy, 2020, 37(7): 837-841.] DOI: 10.13748/j.cnki.issn1007-7693.2020.07.012.

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