首页|基于数据挖掘的藏医药古籍文献中水银(佐太)解毒组方规律探讨

基于数据挖掘的藏医药古籍文献中水银(佐太)解毒组方规律探讨

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目的 基于数据挖掘探讨藏医药古籍文献中含水银(佐太)解毒组方的用药规律。方法 收集《四部医典》《月王药诊》《十万拳》《八支心要集》等22部藏医药古籍文献中的水银(佐太)解毒复方,建立药物、药性、五源、六味、三化味等数据库,使用R 4。2。2、IBM SPSS Modeler 18。0、Origion 2024等软件对水银(佐太)解毒复方药物类别、性味、五源等进行频次统计分析、Apriori关联规则分析、聚类分析,并结合藏医药理论对统计结果进行阐释。结果 共收集整理含水银(佐太)解毒复方52首,涉及药物213味,药物使用总频次为1066次。组方涉及的药物以植物药为主,"寒"性药居多;药味以苦、甘、辛为主,五源中空、风和水居多;单味药物出现频次最高的为水银(佐太),其次为诃子、麝香、天竺黄、藏红花、肉豆蔻等;高频药物水银(佐太)、麝香、马钱子、甘青乌头、毛盔马先蒿、轮叶獐牙菜和白芥七味药均具有解毒作用,麝香还具有芳香开窍之功效,诃子能够调和药性和三因,对诸病有效,"六良药"天竺黄、藏红花、肉豆蔻、白豆蔻、丁香和草果能够调和气血,治疗五脏六腑疾病。关联规则分析显示支持度大于59。62的药对组合24对,三味药物组合9组,多为水银(佐太)、诃子、麝香和六良药的组合;对药物频次>10的药物进行聚类分析,得出7个聚类方,多具有清热解毒、调和五脏六腑的功效。结论 水银(佐太)解毒组方药物多以植物药、寒性药物和苦味药物为主,符合清除毒热的藏医药解毒治法。其用药规律体现为使用诃子调和药性,用解毒药物来解毒,加芳香类药物迅速清除或排除毒素,用六良药来保护五脏六腑,药物合用共奏清热解毒、开窍通络、调和五脏六腑之功效。研究为藏药水银(佐太)解毒组方的用药规律提供了数据支撑。
The Prescription Regularity Investigation of Mercury(Zuotai)Detoxification Formula in Tibetan Classic Medical Literatures Based on Data Mining
Objective This study aimed to explore the prescription regularity of Mercury(Zuotai)detoxification formula in Tibetan classic medical literatures based on data mining.Methods Mercury(Zuotai)detoxification formula of were collected from 22 ancient Tibetan medical literatures including the Four Medical Tantras,Medicine of Moon King,One Hundred Thousand Fists and Eight Essential Collections of Medicine,et al.The database of drugs,medicinal properties,five-source,six-flavor,and three-chemical flavor was established.R 4.2.2,IBM SPSS Modeler 18.0,Origion 2024 and other software were used to conduct frequency statistical analysis,Apriori association rule analysis and cluster analysis of the category,property and flavor,and five-source of Mercury(Zuotai)detoxification compound drugs,and interpret the statistical results in combination with the theory of Tibetan medicine.Results A total of 52 formulas were collected,containing 213 Tibetan medicines,with a cumulative frequency of 1066 times.The medicines involved in the prescription are mainly plant-based,and most of them are"cold"drugs;the medicinal flavor of drugs is mainly bitter,sweet,and pungent,with the five sources of emptiness,wind and water predominating;the most frequently occurring medicine was Mercury(Zuotai),followed by Terminalia Chebula,Musk,Geranium,Saffron,and Nutmeg.High-frequency medicines such as Mercury(Zuotai),Musk,Strychni Semen,Aconitum Tanguticum,Pedicularis Trichoglossa,Swertia Verticillifolia,and Sinapis Alba have detoxification effects.Musk also has the effect of aromatherapy,Terminalia Chebula can reconcile the nature of the medicine and the three causes of the disease effectively.The"six good medicines",including Geranium,Saffron,Nutmeg,White cardamom,Cloves,and Tsaoko Amomum Fruit,can harmonize qi and blood,and treat diseases of internal organs of the body.The analysis of association rules showed 24 pairs of medicines combinations with a support degree exceeding 59.62,and 9 groups of three-drug combinations,predominantly involving Mercury(Zuotai),Terminalia Chebula,Musk,and"six good medicines".The cluster analysis of medicines with a frequency of>10 produced 7 clustered formulas,primarily characterized by their efficacy in clearing away heat and toxins,as well as regulating the five internal organs and six viscera.Conclusion Most medicines in the Mercury(Zuotai)detoxification formula are primarily composed of botanicals,cold and bitter drugs,which is consistent with the heat-clearing and detoxifying therapy in Tibetan medicine.The medication pattern of the Mercury(Zuotai)detoxification formula is characterized by the use of Terminalia Chebula to reconcile the medicinal properties,detoxifying medicines to detoxify,aromatic drugs to rapidly eliminate or expel toxins,and six good medicines to protect the viscera.The combined use of these medicines plays a role in clearing away heat and toxins,opening up the orifices and collaterals,and harmonizing the functions of the viscera.The study provides data to support the medication rules of the Tibetan medicine Mercury(Zuotai)detoxification prescription.

Mercury compoundZuotai compoundAntidoteData miningMedication rule

豆改杰、索南拉毛、刘盈盈、魏立新、李先加、周文斌

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青海大学藏医学院 西宁 810016

中国科学院西北高原生物研究所 中国科学院藏药研究重点实验室 西宁 810001

中国科学院西北高原生物研究所 青海省藏药药理学与安全性评价研究重点实验室 西宁 810001

藏药新药开发国家重点实验室 西宁 810016

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水银复方 佐太复方 解毒 数据挖掘 用药规律

青海省科技厅十大国家级科技创新平台培育建设项目现代藏药创制全国重点实验室建设项目

2023-ZJ-J05

2024

世界科学技术-中医药现代化
中科院科技政策与管理科学研究所,中国高技术产业发展促进会

世界科学技术-中医药现代化

CSTPCD北大核心
影响因子:1.175
ISSN:1674-3849
年,卷(期):2024.26(3)
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