Study on medication rules of Chinese herbs in the regulation of necroptosis based on network pharmacology and data mining

Objective:To analyze the basis and medication rules of Chinese herbs in the regulation of necroptosis.Methods:With the help of GeneCards,DrugBank,TTD,DisGeNET,OMIM database to collect the action targets of necroptosis,the TCMSP database to obtain the target‑related compounds and Chinese herbs,and the ADME criteria and Lipinski rule as the conditions for screening,to build the target‑compound,target‑compound‑Chinese herbs network.The information of Chinese herbal medicine's sexual taste and meridian was collected,and the drug use pattern was analyzed.The information on the property,flavor and channel tropism of Chinese herbs was collected to analyze the medication laws.Molecular docking of core targets and compounds in the network with AutoDockTools software,and PyMOL software was used to display the combinations with good docking results.Results:A total of 12 potential targets acting on necroptosis were obtained,matching to 191 candidate compounds and 366 herbal medicines.Quercetin,wogonin,triptolide,licochalcone a,ellipticine are more important and may be the main small molecule substances underlying the regulation of necroptosis.The more important Chinese herbs are Licorice,Forsythia,Salivae Miltiorrhizae,Ginkgo Leaf,Eucommia ulmoides Oliv,etc.The herbal medicines are mainly bitter and pungent,with cold and warm taste,which were attributed to the liver and lung meridians.BCL2‑beta‑sitosterol、MAPK14‑luteolin、MAPK14‑formononetin、TP53‑formononetin are better molecular docking results,which have strong docking activity.Conclusion:The study systematically analyzes the material basis of regulating necroptosis and summarizes the general rule of regulating necroptosis in Chinese medicine,which provides ideas for clinical development of agents to interfere with necroptosis.

Medication Rules of Traditional Chinese Medicine for Treating Threatened Abortion in the Early Stage of Pregnancy with Subchorionic Haematoma Based on Data Mining

Objective:Using data mining technology to explore the rules of traditional Chinese medicine(TCM)in the treatment of threatened abortion in the early stage of pregnancy with sub-chorionic haematoma(SCH).Methods:Literature of TCM in the treatment of threatened abortion in the early stage of pregnancy with SCH were retrieved from CNKI,VIP,WANFANG and Pubmed,EMBASE.The literature information database was established to be used for descriptive analysis,association rule analysis and cluster analysis of relevant data.Results:A total of 100 literatures were included,involving 114 Chinese herbs.The efficacy of Chinese herbs were mainly tonic drugs,hemostatic drugs,heat-clearing drugs,dissolving blood stasis and hemostatic drugs.The medicinal properties were mostly mild and warm,and the taste of the drug was mainly sweet,bitter and pungent.The liver meridian,spleen meridian and kidney meridian were frequently used.The commonly used drug pair combination was"Xu duan(Radix dipsaci,续断)-Tusizi(Semen Cuscutae,菟丝子)",and the core combination was"Tusizi-Xu duan-Ejiao(Donkeyhide gelatin,阿胶)-Baizhu(Atractylodes macrocephala,白术)-Dangshen(Codonopsis pilosula,党参)".Commonly used drugs for removing blood stasis and hemostasis were with Sanqi(Panax notoginseng,三七),Puhuang(cattail pollen,蒲黄),and Qiancao(Radix Rubiae,茜草).Conclusion:Data mining traditional Chinese medicine for the treatment of threatened abortion in the early stage of pregnancy with SCH clinically commonly used drug efficacy,taste,meridian,commonly used drug pairs,core combination and commonly used blood stasis hemostatic drugs,has important reference significance for the treatment of threatened abortion in the early stage of pregnancy combined with SCH.

Integrated data mining and network pharmacology to discover a novel traditional Chinese medicine prescription against diabetic retinopathy and reveal its mechanism

Background:Diabetic retinopathy(DR)is currently the leading cause of blindness in elderly individuals with diabetes.Traditional Chinese medicine(TCM)prescriptions have shown remarkable effectiveness for treating DR.This study aimed to screen a novel TCM prescription against DR from patents and elucidate its medication rule and molecular mechanism using data mining,network pharmacology,molecular docking and molecular dynamics(MD)simulation.Method:TCM prescriptions for treating DR was collected from patents and a novel TCM prescription was identified using data mining.Subsequently,the mechanism of the novel TCM prescription against DR was explored by constructing a network of core TCMs-core active ingredients-core targets-core pathways.Finally,molecular docking and MD simulation were employed to validate the findings from network pharmacology.Result:The TCMs of the collected prescriptions primarily possessed bitter and cold properties with heat-clearing and supplementing effects,attributed to the liver,lung and kidney channels.Notably,a novel TCM prescription for treating DR was identified,composed of Lycii Fructus,Chrysanthemi Flos,Astragali Radix and Angelicae Sinensis Radix.Twenty core active ingredients and ten core targets of the novel TCM prescription for treating DR were screened.Moreover,the novel TCM prescription played a crucial role for treating DR by inhibiting inflammatory response,oxidative stress,retinal pigment epithelium cell apoptosis and retinal neovascularization through various pathways,such as the AGE-RAGE signaling pathway in diabetic complications and the MAPK signaling pathway.Finally,molecular docking and MD simulation demonstrated that almost all core active ingredients exhibited satisfactory binding energies to core targets.Conclusions:This study identified a novel TCM prescription and unveiled its multi-component,multi-target and multi-pathway characteristics for treating DR.These findings provide a scientific basis and novel insights into the development of drugs for DR prevention and treatment.

Advancements in Medication Rule for Pulmonary Nodules: A Review of Current Research Progress

This paper reviewed the literature on medication rule of pulmonary nodules in recent years. It is found that contemporary doctors pay more attention to regulating Qi, clearing heat and detoxifying, eliminating phlegm, dissolving phlegm and dissipating masses. They use mild drugs, cold and warm treatments in parallel, combining the tastes of pungent, bitterness, and sweetness at the same time. The treatment focuses on the five viscera with emphasis on the lung meridian while also considering the spleen and stomach functions as well as soothing liver stagnation. This information aims to provide some reference for clinical treatment of pulmonary nodules.

Study on medication rules of traditional Chinese medicine for Meniere's disease based on data analysis

Objective:Study on medication rules of traditional Chinese medicine in treating Meniere's disease based on data mining technology.Methods:Computer retrieval with since establishment of the“CNKI”,“WF”,“VIP”,there have been literatures on the treatment of Meniere syndrome with Traditional Chinses medicine.Memory preprocessing in accordance with inclusion criteria.Then,EXCLE 2010,SPSS Statistics(ver.25)and SPSS Modeler(ver.18.0)were adopted respectively for frequency analysis,cluster analysis and association rules analysis.Result:A total of 133 references were included in this study,146 prescriptions,192 kinds of drugs,and the total frequency of drugs was 1702.The high frequency Meniere syndrome types were spleen deficiency and phlegm dampness syndrome,wind phlegm syndrome,gallbladder depression and phlegm disturbance syndrome,hyperactivity of liver yang syndrome,phlegm and blood stasis syndrome.The efficacy of drug frequency≥25 were summarized as follows,antiasthmatic drugs for relieving phlegm and relieving cough,diuresis-removing dampness,Tonic drugs,etc.High frequency meridian of drugs are:lung,liver,spleen,etc.High frequency drug properties are:temperature,cold,flat etc.High frequency drug taste:bitter,sweet,pungent,etc.Core drugs:Pinellia,Atractylodes,Poria,Gastrodia,etc.The main prescriptions werealisma soup,Banxia Baizhu Tianma Decoction,Zhengan Xifeng Decoction and Xiaochaihu Decoction.Conclusion:In this study,data mining was used to sort out the treatment of Meniere's disease by traditional Chinese medicine.It was found that the treatment of Meniere's disease was mainly to calm the liver and strengthen the spleen,supplemented by regulating qi and activating blood,clearing heat and opening orifices,tonifying deficiency and tranquilizing mind.

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.

Study on the medication rules of traditional Chinese medicine in the treatment of sleep disorder after stroke based on data mining

Objective:To explore the medication rule of Traditional Chinese Medicine(TCM)in the treatment of sleep disorder after stroke by using data mining technology.Methods:A computer search was used to search the electronic database of clinical literature on the treatment of sleep disorders after stroke by TCM from January 2000 to January 2021.Excel was used to establish the database,and the prescription information was described and analyzed statistically.Using IBM SPSS Modeler 18.0 software,Apriori algorithm was used for TCM association analysis,and IBM SPSS 22.0 software was used for systematic cluster analysis of high-frequency TCM.Results:A total of 67 literatures were included,covering 131 traditional Chinese medicines.The medecines with a higher frequency of sodium use include Ziziphi Spinosae Semen(Suanzaoren),Angelicae Sinensis Radix(Danggui),Ligusticum(Chuanxiong),liquorice(Gancao),Poria cocos(Fuling),and so on.From the effect point of view,deficiency-tonifying medicine,sedative medicine and blood-activating and stasis-removing medicine are commonly used.The medicinal properties are mainly cold,mild and warm.The main medicine flavor are sweet and bitter.The medicines mostly belong to the liver,heart and spleen Meridian.Thirty-three association rules were obtained for medicine pairs and medicine groups from the correlation analysis,and the core combinations were"Ziziphi Spinosae Semen(Suanzaoren)-Tuber fleeceflower stem(Yejiaoteng)","Ziziphi Spinosae Semen(Suanzaoren)-Polygala(Yuanzhi)","Ziziphi Spinosae Semen(Suanzaoren)-Cortex albiziae(Hehuanpi)"and"Angelicae Sinensis Radix(Danggui)-Radix bupleuri(Chaihu)-Radix Paeoniae Alba(Baishao)"and so on.Seven medicine aggregation groups were obtained by medicine cluster analysis.Conclusion:In the treatment of sleep disorder after stroke by TCM,the main method is to calm the heart and mind.Meanwhile,according to different syndrome types,the treatment methods of tonifying the heart and spleen,nourishing the liver and kidney,soothing the liver and softening the liver,clearing heat and resolving phlegm,nourishing the blood and promoting blood circulation are selected,which provide certain reference for clinical treatment.

Study on prescription and medication rules of Hua Baojin for treatment of colorectal cancer based on data mining

Objective:To study the prescription and medication rule of Professor Hua Baojin in the treatment of colorectal cancer through data mining,so as to provide reference for clinical treatment of colorectal cancer. Methods:The outpatient medical records of Professor Hua Baojin from June 2015 to October 2020 in Guang’anmen Hospital,China Academy of Chinese Medical Sciences were collected. TCM Inheritance Support Platform(V2.5)was used to analyze high-frequency drugs,drug properties,flavors,channel tropism,common drug combinations,core combinations and new prescriptions. Results:A total of 500 prescriptions were included,involving 222 traditional Chinese medicines and 38 high-frequency(≥100)medicines,including Atractylodes,Poria cocos,ginger,etc. The most common medicinal properties of drugs were warm,cold and mild,and flavors were sweet,bitter and pungent,channel tropism included spleen,stomach,liver and lung meridians. 36 groups of common drug combinations and 20 association rules were obtained by data mining,and 18 core combinations and 9 new prescriptions were evolved.Conclusion:Professor Hua Baojin takes recuperating spleen and stomach as the core in the treatment of colorectal cancer,attaching importance to regulating the rise and fall of qi,adding and subtracting on the basis of Xiangsha Liujunzi Decoction,flexibly selecting the drugs of dispelling blood stasis,resolving phlegm,detoxification and loose knots,and using both cold and warm in the prescription,tonifying and reducing at the same time.

Study on the rules of TCM syndromes and Chinese herbal medicines about IgAN based on data mining

Objective:To analyze the clinical research literatures of TCM syndromes and treatment of Immunoglobulin A Nephropathy(IgAN)on data-mining technology,and explore the rules of TCM syndromes and Chinese medication.Methods:By searching the clinical literatures about TCM syndromes and treatment of IgAN had published in China Biomedical Literature Database,CNKI Database,Wanfang Database,and Chongqing Weipu Database from January 2000 to September 2019.Strictly according to the inclusion and exclusion criteria,included documents and established the databases.Applicated of statistical software for frequency analysis of TCM syndromes,Chinese herbal medicines,and analyzed the commonly used Chinese herbal medicines by factor analysis and cluster analysis.Results:292 literatures were finally included,involving 28 syndromes.A total of 479 prescriptions and 254 Chinese herbs were used.The rules of syndromes in IgA nephropathy are as follows:the syndromes are mainly composed of Qi and Yin deficiency syndrome,followed by the Spleen and kidney qi deficiency syndrome,Liver and Kidney Yin Deficiency Syndrome,Spleen and kidney yang deficiency syndrome.The blood-stasis syndrome,damp-heat syndrome and wind-heat disturbance syndrome are accompanied by other syndrome.The characteristics of traditional Chinese medicines for IgA nephropathy is mainly composed of tonic deficiency medicines,supplemented by blood-activating and stasis-eliminating medicines,heat-clearing medicines,inducing diuresis and excreting dampness medicines and astringent medicines to combine with formulas.Conclusion:Through Data-mining method systematically summarized the rules of TCM syndromes and Chinese medication in treating IgAN and provided scientific theoretical guidance for the treatment of IgAN.

A study of medication rules of traditional Chinese medicine in the treatment of pre diabetes based on data mining

Background:To summarize the concerted application and prescription rules of traditional Chinese medicine in the treatment of pre diabetes.Methods:Microsoft Excel 2010 was used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 14.0.Results:One hundred and forty-six references were included,including 153 prescriptions and 131 drugs.Their frequency of use is listed in the following order.The top 3 categories of drugs were“Tonifying,Heat-Clearing”,diuresis and“Diffusing Dampness”drugs.The top 5 drugs were Huangqi(Astragali radix),Fuling(Poria),Huanglian(Coptidis rhizoma),Shanyao(Dioscoreae rhizoma),Gegen(Puerariae lobatae radix).The top 3 channel tropism of drugs were spleen,stomach and lung.The top 3 nature of drugs were cold,warm and calm.The top 3 flavour of drugs were sweet,bitter and pungent.The cluster analysis of high-frequency drugs showed that it could be classified into 4 categories:“Benefiting Qi”for promoting production of fluid,“Clearing Heat”and“Eliminating Dampness”,“Nourishing Yin”and“Clearing Heat”,and“Invigorating Spleen”for“Diffusing Dampness”.The results of association rule analysis showed that the combination with the highest degree of confidence and support was Poria-Chenpi(Citri reticulatae pericarpium)-Banxia(Pinelliae rhizoma)-Baizhu(Atractylodis macrocephalae rhizoma)and the combination with the highest frequency was Astragali radix-Puerariae lobatae radix.Conclusion:The pre diabetes is due to deficiency.The disease location is spleen and stomach and the pathological factor is phlegm-damp,that is why benefiting qi and invigorating spleen is regarded as the key link of clinical treatment.

Analysis of ZHENG Yuling's Medication Rules in the Syndrome Differentiation and Treatment of Cervical Cancer

Objective:To analyze the medication rules of ZHENG Yuling in the treatment of cervical cancer,and provide a basis for the clinical practice of Chinese medicine for the treatment of cervical cancer.Methods:The data of patients with cervical cancer treated by ZHENG Yuling in the First Hospital Affliated to Henan Univer-sity of Chinese Medicine from March 26,2017 to January 5,2021 were collected and the medication rules were analyzed.Results:Totally 143 cases were included,and the most frequently used prescriptions were Wuling Powder(五苓散),Simiao Powder(四妙散),Danggui Shaoyao Powder(当归芍药散),Shuyu Pill(薯损丸),Qingxin Lianzi Decoetion(清心莲子饮),Bazhen Decoction(八珍汤),etc.With statistics of the efficacy,all Chinese materia medica were divided into 19 categories,and their properties were mainly warm,mild and cold;the flavors of medicine were mainly sweet,pungent and bitter;the meridian tropism mainly ineludes the lung,liver,spleen and stomach.After cluster analysis and factor analysis,15 common factors were extracted;through the analysis of association rules,14 groups of Chinese materia medica combinations with high frequency associ-ation strength were obtai ned.Conclusion:ZHENG Yuling believes that the pathogenesis of cervical cancer is not only related to disorder between Chong and conception Channels due to the intermingling of dampness,tox-icity,blood stasis,and phlegm but also retention of urine due to qi stagnation and water retention.The direct disease location is in the uterus and indirect location may involve the lung,liver,spleen and kidney according to the development of disease,accompanying symptoms and the different constitutions of the patients.It is advo-cated that attention should be paid to not only removing dampness,detoxification,removing blood stasis,and re-ducing phlegm,but also regulating qi,opening the blockage,promoting water flow.At the same time,the spleen and stomach should be protected,and tonification and purgation should be applied in combination.

An Analysis of Medication Rules of Chinese Medicine for Restless Legs Syndrome Based on Data Mining

Objective: Based on data mining, to explore the medication rules of Chinese medicine for the treatment of restless legs syndrome(RLS). Methods: The CNKI, WANFANG, and VIP were taken as data sources, and "restless legs syndrome, RLS" as the key words, and "Chinese medicine, Chinese materia medica, traditional Chinese medicine(TCM), traditional Chinese and Western medicine" as sub key words, the data was extracted from the journals and literature related to the treatment of RLS by TCM from the establishment of the database to 2020, and data mining techniques(frequency analysis, cluster analysis, association rules) were used to analyze the core drugs and drug pair(group) rules. Results: A total of 87 prescriptions met the requirements of this study, involving 142 Chinese herbal medicines. The top 5 Chinese herbal medicines with a higher frequency of use were Radix Paeoniae Alba, Radix Glycyrrhizae, Radix Angelicae Sinensis, Fructus Chaenomelis and Radix Astragali seu Hedysari. The four Qi(气) of the medicine were mainly warm and neutral, the five flavors were mainly sweet, bitter, and pungent. The main channels of the meridian were mainly the liver meridian, spleen meridian and heart meridian. The medication categories were mainly tonifying deficiency herbs, blood activating and removing blood stasis herbs, and eliminating wind and dampness herbs. The association rule analysis yielded 24 Chinese medicine combinations with high support, and the hierarchical cluster analysis yielded a total of 5 clusters. Conclusion: TCM treatment of RLS is based on tonifying deficiency herbs, especially to replenish Qi and blood throughout the course of the disease, supplemented by herbs for promoting blood circulation and removing blood stasis, and herbs for eliminating wind and dampness, as well as combined with herbs for reliving superficies and herbs for calming the liver to stop the wind.

Analysis on medication rules of traditional Chinese medicine for postpartum abdominal pain

Background:To explore the medication rules in traditional Chinese medicine for treating postpartum abdominal pain by using data mining technology.Methods:First,according to inclusion and exclusion criteria,the prescriptions for treating postpartum abdominal pain were collected and screened by referring to the Dictionary of Traditional Chinese Medicine Prescriptions,CNKI,Wanfang,Vip database,Chaoxing database,CBM and other databases.Then,the traditional Chinese medicinal materials were analyzed by ancient and modern medical cases cloud platform.Results:295 first prescriptions were included,involving 248 kinds of traditional Chinese medicine,and the usage frequency of traditional Chinese medicine reached 2,189 times.The efficacy of the top 22 herbs with the highest use frequency is mainly tonic drugs and drugs for promoting blood circulation and removing blood stasis,mainly with the nature of warmness and spiciness,and the channel tropisms mainly include liver meridians,spleen meridians,and heart meridians.The association rule analysis shows 17 high-frequency traditional Chinese medicine combinations with the support≥0.1 and the confidence≥0.8.Three new drug combinations were obtained through cluster mining;both of them took supplementing qi and nourishing blood,promoting blood circulation,and removing stasis as the main treatments.Conclusions:The basic principle of treatment is strengthening the body’s resistance to eliminate pathogenic factors.Therefore,when treating postpartum abdominal pain to promote postpartum recovery,it mainly combines the drugs for benefiting Qi and nourishing blood,invigorating blood circulation,and eliminating stasis.

Medical Reform Should Follow Market Rules——Exclusive interview with Professor Hai Wen,Vice President of Peking University

Hai Wen, economist and vice president of Peking University, has for many years been involved in in-depth investigation and research of China's medical reform, earning a reputation as one of the foremost economists in the field of medical reform. However, in the recent debate on medical reform policy, Hai Wen deliberately decided to keep a low profile. In his view, some of the ideas coming out of academic circles these days are "too short-sighted and political-motivated." During this interview, he talks about this recent round of medical reform debate, its challenges, and prospects for future reform.

Artificial Intelligence and Network Pharmacology Reveal the Medication Rules of Professor Wang Yu-Ying in the Treatment of Climacteric Syndrome

Objective: The objective of this study was to explore the medication rules and academic ideas of Professor Wang Yu-Ying in the treatment of climacteric syndrome(CLS) and to predict new prescriptions. Materials and Methods: The characteristics of frequency, clustering, four properties, and five flavors were analyzed, and new prescriptions were predicted through an artificial intelligence(AI)-based method. The potential pathways of new prescriptions were explored through network pharmacology-based analysis. Results: The top 16 medicinals used by Professor Wang Yu-Ying in the treatment of CLS included Danggui, Longgu, Muli, Fuling, Chuanxiong, Gancao, Xiangfu, and Tusizi. The AI method was applied to predict the basic prescription for treating CLS: Danggui 15 g, Duanlonggu 30 g, Duanmuli 30 g, Fuling 28 g, Chuanxiong 10 g, Gancao 6 g, Xiangfu 12 g, Tusizi 14 g, etc., Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses showed that the pathogenesis of CLS might be related to the estrogen pathway, involving typical steroid responses. Conclusions: This study summarized Professor Wang's medication experience in the treatment of CLS based on the data mining of clinical diagnoses and treatment cases. The AI method was used to predict the new prescription of CLS treatment, which was found to be reasonable by network pharmacology studies on its multi-target and multi-pathway mechanisms.

A study on the rule of Chinese medicine use against influenza virus based on data mining

Background:To summarize the rules of the use of traditional Chinese medicine against influenza virus in the high-quality literatures of core journals,and to provide guidance for the prevention and treatment of influenza.Methods:Excel 2010 and ancient and modern medical case cloud platform(2.5V)were used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 18.0.Results:One thousand one hundred and thirty-one articles from core journals were retrieved and 135 articles were screened out,including 109 prescriptions and 170 drugs,with a total frequency of 1,655 times.The 3 most frequently appeared herbs were Gancao(Glycyrrhizae radix et rhizoma),Jinyinhua(Lonicerae japonicae flos)and Lianqiao(Forsythiae fructus).The top 3 efficacy were“Heat-Clearing(remove heat from the body surface and inside)”drugs,drugs for“Relieving Exterior Disorder(treat fever,chills and headaches caused by pathogenic substances in the air)”,and“Phlegm Relieving Cough Antiasthmatic Medicine(relieves respiratory cough and sputum symptoms)”drugs.The top 3 nature of drugs were cold,warm and flat.The top 3 flavour of drugs were bitter,spicy and sweet.The top 5 channel tropism of drugs were“Lung”,“Stomach”,“Heart”,“Spleen”,“Liver”.Association rule yields 20 drug pairs,Jingjie(Schizonepetae herba),Forsythiae fructus,Lonicerae japonicae flos,Niubangzi(Arctii fructus),Mahuang(Ephedrae herba)and Glycyrrhizae radix et rhizoma were commonly used concerted application;four new methods were obtained by cluster analysis.Conclusion:The use of traditional Chinese medicine against influenza virus has a certain regularity,which provides an important reference value for the prevention and treatment of influenza.

Based on the national patent database to explore the rule of traditional Chinese medicine in the treatment of hyperlipidemia

Objective:To explore the medication law of traditional Chinese medicine compound patent for hyperlipidemia,and to provide reference for the research and development of traditional Chinese medicine new drugs for clinical treatment of hyperlipidemia.Methods:All compound TCM patents related to the treatment of hyperlipidemia were searched and extracted from the national patent database(http://epub.sipo.gov.cn)from the establishment of the database to 10st,March 2021.The data was established by the TCM Inheritance Support System(V2.5)and Microsoft Excel 2010 Softwore,and used to conduct TCM syndromes,frequency statistics,four nature and five flavors of traditional Chinese medicine,meridian attribution statistics.IBM SPSS statistics 20 software was used for drug clustering analysis,IBM SPSS modeler 18.2.2 software was used for association rules and web visualization analysis.Results:Totally 284 compound TCM patents were included,involving 577 kinds of Chinese medicine,and the most common syndrome was Yin deficiency of liver and kidney syndrome(74 times,accounting for 26.06%).The most ten common Chinese materiamedica was Hawthorn,Salvia miltiorrhiza,Alismaorientalis,Cassia seed,Polygonummultiflorum,Licorice,Poriacocos,chinese rhubarb,dried tangerine peel,Radix Paeoniae Alba.The top three appeared frequently in drug categories were tonifying deficiency medicine,activating blood-circulation and dissipating blood-stasis medicine,and heat-clearing medicine,respectively.The top two of its drug properties were warm and cold;the top three drug tastes were sweet,bitterness and pungent;the top two meridians were liver and spleen meridian,respectively.Seven drug groups were obtained by cluster analysis,and 16 were obtained by association rule analysis,including 5 drug pairs and 11 three drug groups.Conclusion:Through the data mining of the patent of traditional Chinese medicine compound prescription for regulating and treating hyperlipidemia,it is concluded that the fundamental pathogenesis of the disease is deficiency of viscera function and obstruction of phlegm and blood stasis.The clinical methods are tonifying the liver and kidney,activating blood circulation and removing stasis,resolving phlegm and removing dampness.Traditional Chinese medicine is mostly used for tonifying deficiency,activating blood circulation,removing stasis,resolving phlegm and removing dampness.This paper provides a reference for the research and development of traditional Chinese medicine for hyperlipidemia.

Analysis of the law of traditional Chinese medicine in prevention and treatment of gastrointestinal reaction caused by lung cancer chemotherapy

Objective:To explore the law of traditional Chinese medicine in prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer.Methods:The literatures on prevention and treatment of gastrointestinal reaction after chemotherapy with Chinese medicine were searched from CNKI,Wanfang and VIP databases from the establishment of the database to September 2020.After screening,the database was established,and data mining was conducted by using IBM SPSS statistics 20.0 and IBM SPSS modeler 18.0 to summarize the medication rules of traditional Chinese medicine in the prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer.Results:(1)A total of 131 literatures involving 245 traditional Chinese medicines were included for data mining;(2)High frequency drugs include Astragalus membranaceus,liquorice,Poria cocos,Atractylodes macrocephala,Pinellia ternata,Codonopsis pilosula,Ophiopogon japonicus,coix seed,Pericarpium Citri Reticulatae,Radix Glehniae and so on;(3)The traditional Chinese medicine used is mainly tonifying deficiency medicine,resolving phlegm and relieving cough and asthma medicine,diuresis and dampness medicine,heat clearing medicine and antiphlogistic medicine.The medicine tastes bitter and sweet,and has cold and warm properties.The meridian tropism involves liver,lung,stomach,spleen and kidney;(4)Seven core TCM combinations were obtained by cluster analysis,and 24 drug pairs(groups)were obtained by association rule analysis.Conclusion:Through the data mining of traditional Chinese medicine for the prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer,we can find out the potential rules of traditional Chinese medicine prescription,and clarify the core Chinese medicine,which is helpful to provide certain reference for the development and research of drugs for the treatment of gastrointestinal reaction and modern clinical practice.

Analysis of novel coronavirus pneumonia treatment with Chinese herbal compound

Objective: To analyze the prescription law of TCM compound in the treatment of new coronavirus pneumonia, and provides reference for the clinical treatment of new coronavirus pneumonia. Methods: Collected Collected 24 novel coronavirus pneumonia related diagnostic and therapeutic plans issued by the National Health Council and the Chinese medicine authority from January 26, 2020 to March 8th ,the filtered solution involved in the formula, establishing database of traditional Chinese medicine compound prescription for the treatment of new crown pneumonia, the frequency of using frequency analysis methods of analysis and clustering analysis and association rules analysis to sort out data mining analysis of traditional Chinese medicine compound. Results: In this study, a total of 159 TCM compounds were included in the treatment of new crown pneumonia from the country and 23 provinces, municipalities and autonomous regions, involving 189 TCM compounds. A total of 62 high-frequency traditional Chinese medicines (frequency ≥ 11) were obtained, mainly including licorice, almond, ephedra, gypsum, Poria cocos, Huoxiang, etc The drug types are mainly heat-clearing drugs, vacuous drugs, moisture-curing drugs, and surfactant drugs. The main effect of the medicine was warm, cold, lukewarm and flat, the main effect of the medicine was bitter and bitter, and the main effect of the medicine was the lung, stomach and spleen. Cluster analysis results according to the performance of traditional Chinese medicine treatment of new crown pneumonia high frequency drugs into 7 classes;Association rule analysis results in 29 common drug pairs. Conclusion: In the treatment of pneumonia caused by new coronavirus infection with traditional Chinese medicine, the following characteristics are presented: the number of times of supplementing qi and Yin is more than that of attacking evil and maintaining health;The method of dispersing and solving the attack of wet, beneficial, wet, permeable and wet medicine fully embodies a variety of ways to drive away evil;In terms of drugs, heat-clearing drugs, deficiency drugs, dampness drugs and surface drugs are the main ones, highlighting that the basic treatment method is to dissolve dampness and detoxify, and replenish qi and Yin. In summary, this study can provide reference for guiding clinical drug use and developing new drugs.

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.