Analysis on medication rule of traditional Chinese medicine treating chemotherapy-induced diarrhea based on traditional Chinese medicine(TCM) inheritance computing platform system

Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Chinese medicine”,“chemotherapy”and“diarrhea”as the theme words,comprehensive search of the database of CNKI,Wanfang and VIP from its inception to November 2020 was conduct-ed.The formulas of external treatment of traditional Chinese medicine for chemotherapy-induced diarrhea were included and the association rule,clustering and factor analysis were carried out.Results:A total of 145 papers,57 prescriptions meeting the inclusion criteria were collected,among which high-frequency drugs including Baizhu(Atractylodis macrocephalae rhizoma),Fuling(Poria),Dangshen(Codonopsisradix),Huanglian(Coptidis rhizoma),Zhigancao(Glycyrrhizae radix et rhizoma praeparata cum melle)were the most commonly used.The confidence level was set as 0.7 and the support level was set as 10,12 core compatibility groups were obtained,and 6 categories were cluster analyzed.Conclusion:The principle of external treatment of chemotherapy-induced diarrhea is mainly“restore deficiency and benefiting qi”,“benefiting water infiltration and dampness”,“clearing heat”and“inducing astringency”.Prescription combination and new prescription combination based on traditional Chinese medicine(TCM)inheritance computing platform system can be used as reference for clinicians and applied in primary hospitals.

Analysis of prescription rules in the treatment of diabetic heart disease based on traditional Chinese medicine inheritance support system

Diabetes is a common clinical disease and has many complications,among which diabetic heart disease is the leading cause of death in diabetic patients.This article collected the prescriptions for the treatment of diabetic heart disease,and used the traditional Chinese medicine inheritance support system to explore the prescription formulation rules.Finally,we included 43 prescriptions for analysis.We found that the rules of formulas for treating diabetic heart disease are complex,but Chinese medicines in these formulas are mainly with the effects of nourishing Qi,nourishing Yin and activating blood circulation.At the same time,we obtained 3 new prescriptions and discussed the clinical rationality of the new prescriptions.The purpose of this article is to provide reference for clinical prescription in the treatment of diabetic heart disease and the development of related new drugs.

Mechanism analysis of Traditional Chinese Medicine in treatment of Diabetic Nephropathy based on network pharmacology and Traditional Chinese Medicine inheritance support system

Diabetic nephropathy is one of the most serious complications of diabetes mellitus. In the early stage, edema and proteinuria are the main clinical manifestations. In the later stage, glomerulosclerosis and interstitial fibrosis will occur. And the prognosis is poor. Nowadays, traditional Chinese medicine has a remarkable curative effect in the treatment of diabetic nephropathy. There are more and more studies on the treatment of diabetic nephropathy with traditional Chinese medicine, but most of them focus on the syndromes of diabetic nephropathy, which are short of in-depth research and summary on the mechanism of Chinese herbal prescriptions. In this paper, the traditional Chinese medicine inheritance support system and network pharmacology BATMAN-TCM software were used to collect and analyze the relevant literature. It was found that the core compatibility of Shanzhuyu, Fuling and Shuyu in the treatment of diabetic nephropathy is closely related to the signal transduction pathway and target of diabetic nephropathy, and has a positive effect on the improvement of clinical symptoms such as proteinuria, glycometabolism disorder, edema, etc. This paper explores the core compatibility of Shanzhuyu, Fuling and Shuyu on diabetic nephropathy, in order to provide reference for clinical treatment.

Analysis on the medication rules and mechanisms of action of traditional Chinese medicine in treating cervical cancer

Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Methods: Collect relevant literatures on cervical cancer in Chinese National Knowledgey Ifrastructure (CNKI), use TCM inheritance platform system (TCMISSV2.5) for association rules and complex system entropy clustering analysis;use BATMAN-TCM online analysis tools to construct target-pathway-disease network to reveal the underlying mechanisms of action. Results: Among the 78 prescriptions selected, a total of 172 Chinese medicines were used, and the five most frequently used herbs were Huang-bo (Phellodendri Chinrnsis Cortex), Fu-ling (Poria Cocos), Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Gan-cao (Licorice). Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Fu-ling (Poria Cocos), Bai-zhu (Atractylodes Macrocephala Koidz.) and Fu-ling (Poria Cocos) are the three most commonly used medicine match. In addition, through cluster analysis, a total of 4 core herbs compatibility and 2 new prescriptions were excavated. Herbs in the new prescriptions which are used to clearing heat-toxin and removing dampness were most frequently used. Through the analysis of the signal pathway of high frequency Chinese medicines, we found that neuroactive ligand-receptor interaction pathway may play important roles. Conclusion: The core Chinese medicines for the prevention and treatment of cervical cancer are mainly clearing heat-toxin and removing dampness. The core Chinese medicines may play their anti-cervical cancer by interfering with the neuroactive ligand-receptor interaction signaling pathway.

Compatibility rule of traditional Chinese medicine for treatment of cardiac neurosis based on data mining

Objective:To analyze the prescription and medication rule of traditional Chinese medicine(TCM)in treating cardiac neurosis by using the software of"Traditional Chinese Medicine Inheritance Assistant Platform(V2.5)".Methods:China Journal Full-Text Database,Wanfang database,Weipu Chinese Periodical Service Platform and Chinese biomedical literature database were retrieved according to the inclusion and exclusion criteria.Literatures on the treatment of cardiac neurosis with TCM prescriptions were screened out and data mining was carried out using the TCM inheritance assistant platform.Use frequency,commonly used dose,the frequency of properties,flavors and meridian distribution were counted.Association rules and entropy clustering analysis for complex system were used to extract core drug combinations and unsupervised entropy hierarchical clustering was used to predict potential new prescriptions.Results:Through literature retrieval and screening,210 types of prescriptions were finally selected,and 181 types of Chinese herbs were extracted,with cumulative frequency of 2410 times.Among them,there were 46 traditional Chinese medicines that were used more than 15 times.According to the efficacy and indication,they were classified into qi-regulating drugs,tranquilizers,qi-tonifying drugs,heat-clearing drugs,blood-tonifying drugs,etc.According to properties,flavors,and meridian distribution,warm and sweet drugs were the most commonly used,mostly distributing to the heart meridian,followed by liver and spleen meridians.Association rules showed that combination of radix paeoniae and paeonia-bupleurum was the most used;faructus aurantii and bupleurum had the strongest correlation,up to 90%.The network diagram indicated that bupleurum,angelica sinensis,radix paeoniae radix,and poria cocos were the core of the association network.Based on complex system entropy clustering,24 core drug combinations were obtained.The unsupervised entropy hierarchical clustering algorithm was used to extract 12 core drug combinations,and 6 potential new formulae were obtained by further clustering.Conclusion:Regulating qi and blood,addressing both symptoms and causes,and using purgation and tonification at the same time is the principle of the treatment of cardiac neuropathy with TCM.The treatment mainly starts from the heart,liver and spleen,and therapies include soothing the liver and regulating qi,clearing heat and resolving phlegm,tranquilizing and calming the nerves,and prompting blood circulation and diuresis.

Rule of prescribing traditional Chinese medicine in the treatment of pneumoconiosis basedon association rules and k-means clustering algorithm

Objective:To analyze the rule of prescribing traditional Chinese medicine for treating pneumoconiosis,so as to provide reference for differential diagnosis and treatment of pneumoconiosis as well as for the development of new drugs for treatingthe disease.Methods:We searched China National Knowledge Infrastructure,Wanfang Database and VIP Chinese PublicationDatabase to retrieve relevant literatures which were then screened according to the enrollment criteria to establish a prescriptiondatabase of traditional Chinese medicine for the treatment of pneumoconiosis.The inheritance calculation platform of traditionalChinese medicine was used to analyze the prescribing rule of traditional Chinese medicine in the treatment of pneumoconiosisbased on association rules,k-means clustering algorithm and regression model analysis.Results:A total of 131 related literature were preliminarily selected,from which 97 prescriptions of traditional Chinese medicine with a total of 195 herbs were included.The most frequently prescribed herbs included Radix astragali,Platycodon grandiflorum,Pinellia ternata,licorice,Codonopsispilosula,Salvia miltiorrhiza,bitter almond etc.A total of 14 association rules,13 high-frequency herb pairs were found and 5groups of formulas were revealed by cluster analysis.Conclusion:The prescriptions for the treatment of pneumoconiosis are mainly composed of herbs for tonifying deficiency,resolving phlegm,relieving cough and asthma,activating blood circulation and removingblood stasis,which are supplemented with herbs for clearing heat,relieving appearance,regulating qi,promoting waterand permeating dampness,etc.,The prescribing rules reflect the basic pathological characteristics of lung deficiency and collateral arthralgia in pneumoconiosis,which provides some ideas for the clinical differentiation and treatment of pneumoconiosis in traditionalChinese medicine.It also provides reference for the research and development of new treatment methods.

A study on the medication law of oral administration of traditional Chinese medicine in treating breast carbuncle based on the Traditional Chinese Medicine Prescription Dictionary

Objective:Based on the database of Traditional Chinese Medicine Prescription Dictionary,the prescription medication rules of oral administration of traditional Chinese medicine in the treatment of breast carbuncle were explored by using the software of Traditional Chinese Medicine Inheritance Support System(V2.5).Methods:To screen and retrieve the prescriptions for treating breast carbuncle in the Traditional Chinese Medicine Prescription Dictionary,and data mining was carried out by using association rule algorithm,complex system entropy clustering and so on.Results:A total of 208 prescriptions which met the inclusion criteria were selected,involving 175 traditional Chinese medicines.Among them,23 medicines were found to be more than 21 times in the treatment of breast carbuncle.The nature of the medicine is mainly cold or warm,the flavour of the medicine is mainly bitter or sweet,most of them belong to the spleen,liver,stomach.15 commonly used drug combinations and 9 new prescriptions were obtained.Conclusion:The key pathogenesis of breast carbuncle is liver depression and Qi stagnation,stomach heat blocking collaterals,the treatment is mainly to clear heat and detoxify,regulate Qi to diffuse the knot,which provides reference for the choose of traditional Chinese medicine prescription in treating breast carbuncle.

基于中医传承辅助平台挖掘中药治疗小儿霰粒肿的用药规律

目的 基于中医传承数据平台挖掘探索中药治疗小儿霰粒肿的组方规律。方法 选取建库至2022年11月中国知网、万方和维普数据库中关于中药治疗小儿霰粒肿的文献。将收集到处方录入中医传承计算平台(V3.0)软件中,统一中药名称后,对药物的属性、用药频次和功效等进行分析。结果 (1)一般情况:共纳入符合标准的处方共57个,涉及中药151味,累计使用频次位582次。中药四气以寒性最多(69味,45.92%),五味以苦味药最多(54味,35.92%),归经以肺经最多(41味,27.27%)。(2)高频中药使用频次:使用频次≥12次的中药(高频中药)共12味。排在前5位的依次是陈皮(29次,4.98%)、半夏(26次,4.47%)、茯苓(26次,4.47%)、甘草(24次,4.12%)、连翘(17次,2.92%)。(3)高频中药功效分类:以清热药最多,138次(23.71%),其次为化痰止咳药(60次,10.30%)、解表药(54次,9.27%)、补虚药(44次,7.56%)、理气药(40次,6.87%)。(4)高频中药聚类分析:共得到6类组方,功效依次为益气健脾,燥湿化痰;消食导滞,益气和胃;化痰散结,健脾化湿;清热解毒,消散疔疮;明目退翳,化痰散结;降逆蠲饮,宁心定悸。(5)高频中药关联规则分析:关联性较强的5对为陈皮-茯苓,陈皮-半夏,半夏-甘草,陈皮-僵蚕,陈皮-连翘。结论 小儿霰粒肿的中医药用药以清热解毒、化痰散结为主,配以益气健脾、清肝疏风类,为临床医生提供药物参考及治疗思路。

国医大师熊继柏治疗泄泻用药规律探究

对国医大师熊继柏治疗泄泻病案进行数据挖掘,分析熊继柏教授诊治泄泻的用药经验。基于中医传承辅助平台软件(V3.0),归纳和分析熊继柏教授在湖南中医药大学第一附属医院治疗泄泻患者的门诊病历数据,利用该平台软件的关联规则、复杂系统熵聚类等统计方法进行数据挖掘和分析,总结药物的性味、归经、应用频次、舌脉象频次及药对组合,通过结合熊继柏教授对泄泻病因病机、治则治法的认识,明确核心用药,探索国医大师的诊治规律及用药规律;且以验案举例说明。通过总结分析,共纳入病历168份,处方中用药频次较多的有砂仁、厚朴、黄连、木香、甘草、茯苓、白术、陈皮、半夏、西洋参,药性以温、平、寒为主,药味偏苦、辛、甘,归经多为脾胃经,归纳出治疗泄泻的主方为香砂六君子汤和连朴饮。国医大师熊继柏治疗泄泻以“健脾理气,清热燥湿”为治疗原则,在香砂六君子汤和连朴饮的基础上进行辨证论治,加减化裁。

《世医得效方》中消渴病用药规律探讨

目的:利用数据挖掘技术,深入分析《世医得效方》中所记载方剂治疗消渴的用药规律。方法:归纳《世医得效方》中治疗消渴所记载的方剂,利用Excel 2016软件及中医传承辅助平台(V2.5)软件创建消渴处方及中药数据库,采用数据挖掘技术,对中药频次、属性、功效进行统计分析,并对其进行关联分析、聚类分析。结果:《世医得效方》中用于治疗消渴的处方共50首,包含中草药118味;排名前4味的高频药物是人参、白茯苓、黄连、天花粉;药性以寒性为主,药味以甘味为主,主归脾经;且补虚药出现频次最高。高频用药配伍模式共7组,其中频次排名前4组依次为人参-白茯苓,五味子-白茯苓,麦冬-人参,人参-甘草。置信度≥0.6的药物关联规则按频度大小排列依次为麦冬→人参,五味子→熟地黄,熟地黄→五味子,五味子→人参等。基于无监督的熵层次聚类算法共获得4个治疗消渴的潜在新方组合,分别为麝香-山药-茯苓-辰砂,菟丝子-石斛-鹿角胶-沉香,黄芪-远志-茯苓-辰砂,麝香-木香-桔梗-茯苓-辰砂。结论:通过对《世医得效方》消渴处方用药规律进行分析,发现消渴病遵循阴虚为本,燥热为标的基本病机,治疗以甘寒养阴为主,兼顾健脾补肾、益肺生津等,配伍药物以补虚药、清热药等为主,能为现代临床合理、有效用药提供理论借鉴。

基于中医传承辅助平台与网络药理学探析《中华人民共和国药典》中含生石膏成方制剂的证治规律及作用机制

目的:研究2020年版《中华人民共和国药典》中含生石膏成方制剂的证治规律及作用机制。方法:将符合纳入、排除标准的成方制剂录入中医传承辅助平台,并基于中医传承辅助平台的频率统计、关联规则与聚类算法功能,探析含生石膏成方制剂的配伍原则、组方规律及新方组合,并提取核心用药;同时采用网络药理学方法,对证治规律研究中所筛选的主要中医疾病进行生石膏作用机制研究。结果:最终共纳入50条含生石膏成方制剂,涉及肺咳、肺炎喘嗽、感冒等中医疾病24种,痰热壅肺、肺经风热、热毒内盛等适宜证型22项,生石膏、甘草、黄芩、杏仁、麻黄等中药170味,同时提取“生石膏-甘草”“生石膏-黄芩”等核心药对4项,“生石膏-五味子-枳实-桔梗-桑白皮”等新方组合7条,以及“生石膏、麻黄、甘草、杏仁、黄芩、桔梗、陈皮”等核心用药6组;并筛选获得ALB、IL-1B、1L-6等“生石膏-主要中医疾病”交集靶点18个,以及肿瘤坏死因子(TNF)、白细胞介素-17(IL-17)、缺氧诱导因子-1(HIF-1)等主要信号通路3条。结论:2020年版《中华人民共和国药典》中含生石膏成方制剂主要以麻杏石甘汤为基础方化裁,其机制可能与生石膏抑制TNF、IL-17、HIF-1等信号通路,下调炎症反应过程,减少促炎因子释放有关。

中医药治疗肝郁气滞型便秘型肠易激综合征的用药规律分析

目的通过分析总结肝郁气滞型便秘型肠易激综合征(IBS-C)中药治疗的配伍规律,以期为今后的临床治疗及新型中成药的开发提供参考。方法通过应用中医传承辅助平台系统,检索中国知网、万方、维普数据库建库至2022年4月的文献,查找中文期刊数据库中关于口服中药治疗肝郁气滞型IBS-C的处方,提取相关方药信息,录入表格并整理,运用软件的频数分析、关联规则分析、聚类分析方法分析组方用药规律。结果最终筛选出口服中药治疗肝郁气滞型IBS-C的方剂23首,涉及中药62味,分析得出,中药应用总频次为241次,频次≥2的有35味中药,使用频次居前10位的中药依次为白芍、甘草、柴胡、白术、枳壳、槟榔、木香、枳实、乌药、厚朴;药物种类以补虚药和理气药为主;药性以温为主;五味以苦为主;归经以脾经为主。基于关联规则的中药组合有28个,聚类分析分为3类,提取核心方3个及新方2个。结论肝郁气滞型IBS-C临床上多遵循健脾疏肝、理气润肠的原则。核心方及新方分析提示疏肝理气为治疗大法,益气、养阴、活血亦可灵活应用于临床病因复杂多元化的患者。用药多寒温并用,常用苦、辛、甘味,调理脏腑,顺应机体。

基于中医传承辅助平台探讨国医大师治疗癌因性疲乏用药规律

目的 探讨国医大师治疗癌因性疲乏的用药规律。方法 收集三大数据库(知网、万方、维普)、古今医案云平台、公开出版的中国医大师治疗癌因性疲乏的成功案例,筛选、整理处方数据后录入中医传承辅助平台(V2.5)分析用药规律。结果 共纳入15位国医大师的87则医案,涉及228味中药,药物四气分布以温热、寒凉为主,且二者比例相当;五味分布以甘、苦、辛为主;归经频次靠前的是脾、肝,肺、胃、肾、心稍居其后;使用频次最多的是补虚药,且以补气药为主,其次是清热药;使用频次前10的药物为黄芪、白术、炙甘草、茯苓、陈皮、白花蛇舌草、当归、女贞子、麦芽、党参,常用对药、角药有“黄芪-白术-茯苓”“陈皮-黄芪-白术”“白花蛇舌草-黄芪”“黄芪-当归”等;基于复杂系统熵聚类得到5组新方。结论 国医大师治疗癌因性疲乏区别传统虚劳疾病的治疗原则,从“虚-毒-瘀”的肿瘤病机出发,辛温补虚之药与苦寒解毒之药并用,巧配甘味药缓补机体,重视健脾疏肝,兼顾肺、肾、心三脏,以治气为题眼展开解题思路。

基于数据挖掘探讨高天舒教授治疗甲状腺功能亢进症用药规律

目的:基于中医传承辅助平台软件(V2.5)挖掘高天舒教授治疗甲状腺功能亢进症(简称甲亢)的用药组方规律,传承高天舒教授治疗甲亢的临床经验。方法:整理高天舒教授于2022年5月-2023年6月期间治疗甲亢的用药处方,录入中医传承辅助平台(V2.5),采用关联规则、聚类分析等统计方法对整理好的处方药物进行用药规律分析。结果:共收集处方120首,涉及中药174味,药性以寒为主,药味多为甘、苦,归经以归肝经为主。中药使用频次居前十位的依次为海藻、昆布、牡蛎、浙贝母、夏枯草、白花蛇舌草、玄参、百合、生地黄、知母。核心处方为海藻、昆布、牡蛎、浙贝母、夏枯草、白花蛇舌草,形成潜在新处方11首。结论:高天舒教授认为“阴虚火旺,痰气互结”乃甲亢根本病机,治疗以滋阴降火散结为主,灵活运用富碘中药咸寒软坚,并根据患者个人体质不同攻补兼施,从而改善患者症状,抑制甲亢。

基于真实世界数据分析的中医药治疗甲状腺结节的用药规律研究

目的基于真实世界数据挖掘技术分析中医药治疗甲状腺结节的用药规律。方法收集2018年8月—2023年8月就诊于青岛市中医医院甲乳外科的临床第一诊断为甲状腺结节患者的中药处方,运用中医传承辅助平台(V3.0)分析其用药规律。结果共筛选出治疗甲状腺结节的中药处方1206首,涉及中药291味;用药频次居于前5位的是浙贝母、夏枯草、柴胡、茯苓、半夏;药物功能类别以清热、补虚、化痰、活血、理气类为主;药性以寒为主,药味以苦、甘、辛为主,归经以肺、肝、脾经为主;关联规则分析得到17个高频药物组合,浙贝母-夏枯草药对出现频率最高;16条关联规则中,玄参→浙贝母、香附→柴胡置信度最高;聚类分析发现6个核心药物组合。结论中医临床治疗甲状腺结节以化痰散结、行气活血、益气养血为主要思路;常用浙贝母-夏枯草药对清热化痰散结,并以消瘰丸为基础方化痰软坚散结。

基于数据挖掘探究中医药治疗冠心病合并高脂血症的用药规律

目的为了探索中医药治疗冠心病合并高脂血症新思路,研究分析总结中医药治疗冠心病合并高脂血症的用药规律。方法检索2022年6月1日前发表在PubMed,中国生物医学文献服务系统、维普、万方、中国知网数据库的文献,筛选冠心病合并高脂血症的中医药临床治疗文献且经过随机数对照实验验证明确有效者,使用中医传承辅助平台(V 3.0)对纳入的处方进行药物频次分析、关联分析、聚类分析等。结果研究纳入处方85首,中药148味;高频药物有丹参、山楂、茯苓等,常用药对有丹参-山楂、丹参-陈皮等,药物关联规则中茯苓,陈皮→丹参、山楂→丹参等的置信度较高,最终得到治疗冠心病合并高脂血症的核心药对11个、新候选处方5首。结论通过对高频药物、功效归类、新候选处方的分析,发现对于冠心病合并高脂血症的治疗,常使用活血化瘀药、补虚药、理气药及利水渗湿药相配伍,标本兼治,增强冠心病合并高脂血症的治疗效果,研究可为冠心病合并高脂血症的中医临床用药和新药研发提供理论支持。

基于中医传承辅助平台探析庞敏治疗心肌桥用药规律

目的运用中医传承辅助平台(V2.5)对庞敏教授治疗心肌桥的医案进行数据挖掘,总结其用药组方规律和学术思想。方法收集庞敏教授治疗心肌桥的有效病案,运用中医传承辅助平台进行用药规律分析,对核心药物组合进行网络药理学分析其治疗心肌桥的作用机制。结果心肌桥的发作高峰为9月至次年4月,最高为11月,次之为2月;发作曲线与沈阳地区平均气温呈负相关。共筛选98首处方,使用频次最高中药为柴胡、牛膝、桔梗、枳壳。中药功效主要为理气药,其次为活血化瘀药和补虚药。中药四气以温为主,其次为寒、平;五味以苦、辛、甘味为主;归经以肝经为主,其次为心经、脾经。核心药物组合为柴胡-桔梗-枳壳-牛膝。通过聚类得到新处方10个。结论庞敏教授认为气机失调为心肌桥发作的根本诱因,以“调畅气机法”为基本治则,核心药物组合为柴胡-桔梗-枳壳-牛膝,同时运用辨天、辨人、辨证、辨机、辨病的“五位一体”理论体系提供辨证诊疗思路。

基于中医传承辅助平台与网络药理学探析治疗湿疹方药的用药规律及作用机制

目的通过挖掘治疗湿疹的中医方剂,并且借助网络药理学揭示核心药物群或最佳药对的有效成分,同时明晰这些成分与治疗湿疹相关靶点之间的相互作用,为治疗中医湿疹疾病提供科学依据。方法首先检索《中医方剂大辞典》中有关湿疹治疗的中医方剂,将方剂信息录入中医传承辅助平台系统(V2.5)中进行关联规则分析和高频组合分析,通过分析揭示在治疗湿疹过程中药物之间的互补关系和高频使用的药物组合。利用诸如TCMSP等数据库对高频药物中的药物进行成分分析,确定其中的有效活性成分,并解析其作用靶点。通过OMIM、GeneCards等数据库收集与湿疹相关的基因靶点信息,构建相关靶点数据库,然后用药物靶点和疾病靶点进行映射,使用Cytoscape 3.9.0软件创建“疾病-方药-靶标”网络图。进而运用STRING数据库对关键靶点进行PPI网络分析,揭示靶点之间的相互作用关系。最后,通过GO功能富集分析,了解湿疹相关靶点的功能分类,进一步揭示其在疾病发生和发展中的作用,再利用KEGG数据库进行信号通路富集分析,以确定湿疹相关靶点参与的生物通路,从而深入了解治疗机制。结果本研究收集了104首方剂,涵盖了181种中药。出现频次达到或超过10次的药物有20种,高频中药作用靶点361个,疾病作用靶点744个,两者共有作用靶点46个。PPI分析揭示,STAT1、MAPK1、AKT1等蛋白可能在治疗湿疹中发挥重要作用,这些蛋白质涉及20个细胞生物过程、12个细胞组分以及15个分子功能。通路富集分析揭示了11条富集的信号通路中包括AGE-RAGE信号通路、TNF信号通路、化学致癌-受体激活信号通路、B细胞受体信号通路、NF-κB信号通路、Fcγ受体介导的吞噬信号通路、趋化因子信号通路等。结论治疗湿疹的方剂以清热类药为主,尤其以清热燥湿药为主,辅以凉血药和利水渗湿药。治疗湿疹的药物具有多靶点、多途径、多作用的特点,可能通过影响血管生成、炎症因子、免疫调节等途径发挥治疗作用。

基于数据挖掘探析广东省名中医洪敏教授治疗失眠用药规律

[目的]探讨广东省名中医洪敏教授治疗失眠的用药规律。[方法]收集整理洪敏教授临床治疗失眠的处方,使用中医传承辅助平台,对处方的用药频次、四气五味归经以及组方规律、潜在新方等进行数据挖掘和分析。[结果]收集筛选出方剂共509条,中药共180味,使用频次前5位的中药依次为炒酸枣仁、法半夏、炙甘草、茯苓、黄芩,高频药物组合有法半夏-炒酸枣仁、炙甘草-法半夏、法半夏-茯苓、炙甘草-炒酸枣仁、茯苓-炒酸枣仁、法半夏-黄芩、陈皮-茯苓等,并得到7个潜在新方组合。[结论]洪敏教授治疗失眠用药以疏肝安神、清热燥湿、健脾化痰为主,临床中注重五运六气思想结合六经辨证理论,并善于灵活运用脏腑补泻理论,多脏并调,注重结合体质、运气、病机,司人、司天、司病,综合调治,使阴阳调和,失眠得愈。

基于数据挖掘探析孙丽蕴教授治疗风湿蕴肤型扁平苔癣的用药规律

目的通过中医传承辅助平台挖掘探讨孙丽蕴教授治疗风湿蕴肤型扁平苔癣(Lichen planus,LP)的用药组方规律。方法收集和整理2019年2月—2023年10月期间孙丽蕴教授门诊诊治风湿蕴肤型LP的医案,并进行标准化录入,运用关联规则分析、复杂系统熵聚类分析等方法对药物进行分析。结果71例风湿蕴肤型LP患者男女性别比例为1∶1.3,平均年龄(49.65±16.60)岁。(1)频次≥30的药物共32味,依次为钩藤、鸡血藤、徐长卿等;(2)药物性味多性寒、味苦,归肝、胃经为主;(3)复杂系统熵聚类分析:高频药对19个,包括“鸡血藤-钩藤”等组合;包括“香橼-苏木-三棱”等26个核心药物组合;香橼-苏木-三棱-路路通-石菖蒲等13个新处方。结论孙丽蕴教授认为风湿蕴肤型LP的主要病因病机以阴阳失调为本,风、湿、热、瘀、毒邪互结为标,在治疗过程中,以调和阴阳,祛风利湿,清热活血为主,兼顾养护脾胃,调畅情志,为LP的临床遣方用药和新药开发提供一定参考。