摘要
目的:探讨国家专利中药复方治疗骨髓炎的组方规律。方法:通过计算机检索国家知识产权局中国专利公布公告网(http://epub.cnipa.gov.cn/)中治疗骨髓炎的中药复方,按照纳排标准筛选中药复方,将筛选出的中药复方的组方药物及其剂量分别录入Microsoft Office Excel 2010软件和中医传承辅助平台(V2.5),建立数据库。采用Microsoft Office Excel 2010软件统计每味药物的出现频次及药物的性、味、归经分布情况,通过中医传承辅助平台(V2.5)分析中药复方的组方规律,并聚类生成新方。结果:共收集到106首中药复方,涉及511味中药,其中因穿山甲为国家一级保护动物,故未对此药做统计。510味中药出现频次≥3的有150味,其中排名前20位的中药分别为金银花、当归、黄芪、甘草、蒲公英、没药、骨碎补、丹参、乳香、红花、紫花地丁、熟地黄、川牛膝、黄柏、黄连、党参、茯苓、川芎、牡丹皮、三七。106首中药复方的组方药物中,药性以寒性出现频次最多,其次为温性、平性;药味以苦味出现频次最多,其次为甘味、辛味;归经以肝经出现频次最多,其次为肾、脾、肺经;出现频次≥10的药物组合有10个,排在前3位的为金银花-黄芪、金银花-蒲公英、黄芪-当归;核心药物组合10个,分别为金银花-黄芪-黄连、射干-穿心莲-北沙参、全蝎-肉桂-鱼鳔、茯苓-天葵子-金樱子、伸筋草-鸡血藤-土牛膝、杜仲-续断-骨碎补、板蓝根-大黄-杏仁、三七-乳香-没药、知母-黄柏-苏木、熟地黄-鸡血藤-石膏。经聚类分析得出新处方5首,分别为金银花-黄芪-黄连-杜仲-续断-骨碎补、射干-穿心莲-北沙参-板蓝根-大黄-杏仁、全蝎-肉桂-鱼鳔-三七-乳香-没药、茯苓-天葵子-金樱子-知母-黄柏-苏木、伸筋草-鸡血藤-土牛膝-熟地黄-石膏。结论:国家专利中药复方治疗骨髓炎,多用性偏寒,味偏苦,入肝、肾、脾、肺经的中药;组方以清热解毒、活血化瘀和消肿止痛药为主,辅以补益气血和托毒生肌药;核心组方和新方组合可为临床遣方用药和新药开发提供参考,但其疗效有待于进一步研究。
Objective:To explore the clinical medication rules of national patent Chinese herbal compound(CHC)prescriptions in treatment of ostcomyeltis.Methods:AllI CHC prescriptions for trealment of ostcomyelitis were relrieved from the website(htp://epub.cni-pa.gov.cn/)of China Patent Announcement of China National Inellectual Property Administration through computer.The obtained paltents wene screened,and the CHC presciptions involved in the patents were extracted according to the predefined indusion and exclusion cnite ria.The Chinese herbs and their corresponding dosages in the screened CHC prescriptions were standardized and input into the Microsoft Office Excel 2010 software and the Traditional Chinese Medicine Inheritance Support System(TCMISS)software(V2.5)respectively to build the database.The statis tics on occurrence frequency,properly,flavour,meridian tropism of Chinese berbs in CHC prescriptions were conduc-ted by using Microsoft Ofice Excel 2010 software,and their elinical medication nules were analyzed by using TCMISS software(V2.5),fur-themnore,the new presciptions were predicted by cluster analysis.Results:One hundred and six CHC prescriptions were included in the final analysis,involving 511 Chinese berbs,among which Manis Squama was exeluded from the statistics due to its original material came from the first-class national protected animal Manis pentadactyla Linnacus.Among the 510 Chinese herbs,150 ones displayed a occurrence frequency of≥3,and the top 20 ones with high occurrence frequency included Lonicerae Japonicae Flos,Angelica sinensis,Astragalus pro-pinquus,Glycyrhizae Radix et Rhizoma(TCD),Tanaxaci Herba,Myrrha,Drynariae Rhizoma,Salviae Miliorhizae Radix et Rhizoma(TCD),Olibanum(TCD),Carthami Flos(TCD),Violae Herba,Rehmanniae Radix Praeparata,Cyathula fficinalis,Pllodendri Chinensis Cortex,Coptidis Rhizoma,Codonopsis Radix,Poria(TCD),Chuanxiong Rhizoma,Moutan Cortex and Notoginseng Radix et Rhizoma(TCD).The results of statistics on medicinal property,flavor and meridian tropism showed that,among the 106 CHC prescriptions,the most fre-quently used Chinese berbs were those with a cold property,fllowed by the ones with a warm property and a neutral property;the ones with bitter flavors were more preferred,followed by sweet and pungent flavors,and they mainly acted on the liver meridians,kidney meridians,spleen meridians and lung meidians.The results of analysis on prescription rules showed that,among the 106 CHC prescriptions,10 ones displayed a occurrence frequency of≥10,and the top 3 ones with high occurrence frequency included Lonicerae Japonicae Flos-Astragalus propinquus,Lonicerae Japonicae Flos-Tarnxaci Herba and Astraglus propinquus-Angelica sinensis.The cluster analysis on all the included Chinese herbs generated 10 core hetb combinations,namely Lonicerae Japonicae Flos-Astragalus propinquus-Coptidis Rhizoma,Belamcan-dae Rhizoma(TCD)-Andrographis Herba(TCD)-Glehniae Radix,Scorpio-Ginnamomi Cortex-Colla Pisces,Poria(TCD)-Semiaquilegiae Radix-Rosae Laevigatae Fructus,Lycopodi Herba-Spatholobi Caulis-Radix et Rhizoma Achyranthes,Fucommiae Cortex-Dipsaci Radix-Drynariae Rhizoma,Isaidis Radix-Rhei Radix et Rhizoma-Almond,Notoginseng Radix et Rhizoma(TCD)-Olibanum(TCD)-Myrha,Anemarhenae Rhizoma-Phellodendri Chinensis Cortex-Sappan Lignum and Rehmanniae Radix Praeparala-Spatholobi Caulis-Gypsum Fi brosum.Futhermore,5 new prescriptions were obtained by duster analysis,namely Lonicenae Japonicae Flos-Astragalus propinquus-Copti-dis Rhizoma-Eucommiae Cortex-Dipsaci Radix-Drynariae Rhizoma,Belamcandae Rhizoma(TCD)-Andrographis Herba(TCD)-Glehniae Radix-Isatidis Radix-Rhei Radix et Rhizoma-Almond,Scopio-Cinnamomi Cortex-Colla Pisces-Notoginseng Radix et Rhizoma(TCD)-Olibanum(TCD)-Myrha,Poria(TCD)-Semiaquilegiae Radix-Rosae Laevigalae Fructus-Anemarhenae Rhizoma-Pellodendi Chinensis Cortex-Sappan Ligoum and Lycopodi Herba-Spatholdbi Caulis-Radix et Rhizoma Achyranthes-Rehmanniae Radix Praeparata-Gypsum Fibrosum.Conclusion:The Chinese berbs are often the ones presented with cold propertly and bitter flavor and mainly act on liver,kidney,spleen and lung meridians in CHC prescriptions from national patent database aimed at treating osteomyelitis,and the prescriptions are cen-tred on clearing-heat and renoving-toxicity,promoting blood circulation for removing blood stasis as well a detumescence for relieving pain hebs,supplemented by reinforeing Qi and Blood herbs as well as expres sing toxins and promoling granulation berbs.The core herb combi-nations and new prescriptions can serve as references for clinical medication and new dug development,while their curative effects requires further research.
作者
吉富涛
闫露露
冯新越
黄鸿文
谢元洋
徐天利
陈葛
尹本敬
顾海潮
JI Futao;YAN Lulu;FENG Xinyue;HUANG Hongwen;XIE Yuanyang;XU Tianli;CHEN Ge;YIN Benjing;GU Haichao(The First Clinical Medical College of Yunnan University of Chinese Medicine,Kunming 650500,Yunnan,China;Yunnan Provincial Hospital of Traditional Chinese Medicine,Kunming 650021,Yunnan,China)
出处
《中医正骨》
2023年第8期51-56,60,共7页
The Journal of Traditional Chinese Orthopedics and Traumatology
基金
2022年云南省“兴滇英才支持计划”项目(云卫人发[2022]8号)。
关键词
骨髓炎
复方(中药)
专利
数据挖掘
方剂构成
组方原则
聚类分析
ostcomyelitis
compounds(TCD)
patent
data mining
constiwtion of formula
formula composing principles
cluster analysis