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Objective:To explore the medication regularity and prescription rule of Chinese herbal medicine in the treatment of cardiac failure.Methods:The China Patent Publication Notice of the State Intellectual Property Office (http://epub.sipo.gov.cn/) was rearched and retrievedfor Chinese herbal medicine for the treatment of heart failure. The Traditional Chinese Medicine (TCM) inheritance support system (V 2.5) was used to input the prescription information and establish the database. The association rules, mutual information method, entropy clustering of complex systems and other data mining methods were used for commonly used drugs, combination rule and new prescription of core group.Results:A total of 101 prescriptions were included, involving 316 drugs. The frequency of commonly used drugs were Astragali Radix (59.41%), Poria (41.58%), Salviae Miltiorrhizae Radix et Rhizoma (40.59%), Descurainiae Semen Lepidii Semen (34.65%), Aconiti Lateralis Radix Praeparata (33.66%), and the medicinal properties were mainly warm, and the sweet taste. The main flavors weresweet, bitterness, and pungency, and the main sources of meridians belonged to liver, spleen, heart, lungs and kidneys. The most commonly used drug combinations contribute to supplement Qi, invigorate blood circulation and stasis, warm Yang, remove moisture. There were 12 core drug groups and 6 new prescriptions for heart failure. Conclusions:Analysis on formulas for heart failure shows that the prescriptions focus on supplementing qi and activating blood circulation, warming Yang reducing dampness, invigorating spleen, and nourishing Yin, dispel turbid, solid Yang. It can provide reference for clinical treatment to improve curative effect and standardize prescription medication.
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Objective:To select and evaluate new Chinese herbal prescription for the treatment of decreased ovarian reserve （DOR） and its appropriate dosage. Method:The literature concerning the treatment of DOR with traditional Chinese medicine （TCM） was retrieved from such databases as Chinese Journal Full-text Database， Wanfang Data Knowledge Service Platform， and Chongqing Weipu Database for Chinese Technical Periodicals （VIP）， based on which a database was established using the Traditional Chinese Medicine Inheritance Support System （TCMISS） V2.5. The data mining was then carried out to obtain the core combinations of Chinese herbs and new Chinese herbal prescription combinations， followed by the determination of the new Chinese herbal prescription by expert group discussion for experiment evaluation. The female SD rats were divided into the normal group， DOR model group， Kuntai capsule group， and low-， medium-， and high-dose new Chinese herbal prescription groups， with 12 rats in each group. Rats in the Kuntai capsule group and low-， medium-， and high-dose new Chinese herbal prescription groups were treated with Kuntai capsule solution （0.5 g·kg<sup>-1</sup> determined according to the dosage in the instruction） and 3.037 5， 6.075， and 9.12 g·kg<sup>-1</sup> new Chinese herbal prescription， respectively. After 21 days， the estrous cycle was observed by vaginal exfoliated cell smear， and the ovarian structure was observed by hematoxylin-eosin （HE） staining. The serum anti-mullerian hormone （AMH）， follicle stimulating hormone （FSH）， luteinizing hormone （LH）， and estrogen （E<sub>2</sub>） contents as well as the reactive oxygen species （ROS）， malondialdehyde （MDA）， and glutathione （GSH） levels and superoxide dismutase （SOD）， catalase （CAT）， and glutathione peroxidase （GSH-Px） activities in ovary were detected using biochemical methods. Result:The new Chinese herbal prescription subjected to experimental evaluation was composed of 11 Chinese herbs， namely Rehmanniae Radix Praeparata 20 g， Cervi Cornus Colla 12 g， Lycii Fructus 20 g， Corni Fructus 12 g， Albiziae Cortex 9 g， Nelumbinis Plumula 3 g， Salviae Miltiorrhizae Radix et Rhizoma 20 g， Astragali Radix 30 g， Atractylodis Macrocephalae Rhizoma 12 g， Dioscoreae Rhizoma 30 g， and Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle 6 g. Compared with the model group， the Kuntai capsule group and medium- and high-dose new Chinese herbal prescription groups exhibited significantly improved estrous cycle and follicular development， elevated serum AMH and E<sub>2</sub> and ovarian GSH （<italic>P</italic><0.05）， decreased serum FSH and LH （<italic>P</italic><0.05） and ovarian ROS and MDA （<italic>P</italic><0.05）， and enhanced SOD， CAT， and GSH-Px activities （<italic>P</italic><0.05）. There were no significant differences in the above-mentioned indexes between the Kuntai capsule group and the middle- and high-dose new Chinese herbal prescription groups， but the estrous cycle and follicular development were better in the latter two groups. Conclusion:The new Chinese herbal prescription screened by data mining is able to enhance ovarian antioxidation， promote follicular development， ameliorate serum hormone and estrous cycle， and effectively improve ovarian reserve function in DOR rats. The medium dose （6.075 g·kg<sup>-1</sup>） has been proved optimal.
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To dig out and analyze the drug rule of COVID-19 prevention prescriptions from provinces and cities by using Traditional Chinese Medicine Inheritance Support System, summarize and explore its potential new prescription. The Chinese medicine prevention programs for COVID-19 were collected and searched from the official website of the Health Commission and State Administration Medicine of Traditional Chinese Medicine of the country and provinces, autonomous regions, and municipalities. TCM prevention programs in 17 provinces including Heilongjiang, Beijing, Tianjin, Hebei, Henan, Jiangxi, Sichuan, Hubei, and Hunan, etc were received. A total of 82 herbs were included in 64 prescriptions, the most frequently used Chinese herbs were Astragalus membranaceus, Lonicera japonica, etc. Tonifying deficiency drugs with sweet and warm natures were used the most, the Chinese herbs distributed in the lung channel was the most in channel tropism drugs. Analysis by association rule, eight combinations of commonly used drugs were obtained. Based on entropy clustering method rule analysis, seven potential new prescriptions were obtained. Tonifying deficiency drugs are often used in various places to prevent COVID-19, focusing on the lung, spleen and stomach. Although the specific details are different, they all reflect the preventive thinking of traditional Chinese medicine.
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Objective: To summarize the prescription rules of traditional Chinese medicine (TCM) for treating alcoholic liver disease (ALD) based on TCM inheritance support system (V2.50). Methods: The literatures about TCM prescriptions for treating ALD were collected from CNKI, Wanfang database, and VIP database. The TCM inheritance platform system was used to analyze the prescription rules of TCM in the treatment of alcoholic liver disease. Results: Statistics showed that the majority of prescriptions were used to treat alcoholic fatty liver, alcoholic hepatitis, and alcoholic cirrhosis. Through "frequency statistics" analysis, 107 prescriptions were found involving 149 flavors of TCM, with a cumulative frequency of 1 195 times. Twenty-three Chinese medicines with a frequency of ≥ 15 times were used, and the cumulative frequency was 737 times (62%). The most frequently used medicines were blood-activating and stasis-removing drugs, water-diffusing and damp-permeating drugs, tonics, heat-clearing drugs, antialcoholic poisons and qi-regulating drugs. The commonly used doses of Salvia miltiorrhiza, Poria cocos, Bupleurum chinense, Glycyrrhiza uralensis, Atractylodes macrocephala, Alismatis Rhizoma, and Curcumae Radix in the top 10 medicines ranked in the frequency of medication accorded with the prescribed doses in the Pharmacopoeia of the People's Republic of China (2015 edition), while Crataegi Fructus, Artemisiae Scopariae Herba, and Puerariae Lobatae Radix exceeded the prescribed doses. In the frequency analysis of drug pairs, the combination of S.miltiorrhiza and B. chinense was the most widely used. According to the association rules of drug combination, the correlation between Curcumae Radix and S. miltiorrhiza was the strongest, that was, the probability of S. miltiorrhiza appearing with the emergence of Curcumae Radix was 88%. From the network display chart, it was indicated that S. miltiorrhiza and P. cocos were the main herbs for treatment. Through unsupervised entropy hierarchical clustering algorithm, 14 core combinations for new clustering were extracted, and seven new prescriptions can be obtained by further clustering. Conclusion: The basic principles of TCM treatment of ALD include promoting blood circulation and removing blood stasis, removing dampness, tonifying, detoxifying alcohol, and promoting qi, and with "protecting spleen and stomach function" as its purpose, which accords with the theoretical basis of traditional Chinese medicine in treating alcoholic liver disease. Core combinations and new prescriptions provide references for clinical drug use and new drug research and development, but new prescriptions must be further evaluated with the combination of traditional Chinese medicine theory and clinical practice.
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Objective: To dig out and analyze the medication rule of optic atrophy treatment by TCM master Pin-zheng Liao using the Traditional Chinese Medicine Inheritance Support System, and summarize and explore its potential new prescription. Methods: A total of 90 TCM prescriptions for the treatment of optic atrophy by Pin-zheng Liao were collected. Based on frequency statistics, association rule, entropy clustering method rule analysis and other data mining methods, the law and characteristics of drugs were excavated. Results: A total of 113 herbs were included in 90 prescriptions, the most frequently used Chinese herbs were Lycium barbarum, Ganoderma lucidum, etc. Tonic drugs were used the most, the medicated herbs were usually sweet and peace, the Chinese herbs which belong to the liver channel were the most in channel tropism drugs. Seventeen combinations of commonly used drugs were obtained by association rule analysis. Based on entropy clustering method rule analysis, 10 potential new prescriptions were obtained. Conclusion: TCM master Pin-zheng Liao believes that optic atrophy is closely related to liver, spleen and idney. Blood stasis and vein obstruction is the main pathogenesis of the disease. The drugs with effects of activating blood circulation and dredging the meridians, tonifying liver and kidney were recommended for the treating.
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Objective:A new prescription containing Portulacae Herba was created and the molecular mechanism of the new prescription for treating diabetes was clarified based on big data of traditional Chinese medicine （TCM）. Method:Taking Portulacae Herba as the key word， the TCM Inheritance Support System and Encyclopedia of TCM （ETCM） were used to excavate the most frequently used medicines combined with Portulacae Herba， and form a new prescription. Based on the basic theory of TCM， this paper analyzed the rationality of the new prescription in treating diabetes， and used the Integrative Pharmacology-based Research Platform of TCM （TCMIP） to predict the target of the new prescription， and constructed the interaction network between drugs and targets of diabetes-related diseases， the key targets of drug intervention were enriched and analyzed， and the network graph of TCM-chemical composition-key target-pathway was drawn. Result:There were 89 prescriptions containing Portulacae Herba in ETCM. The most frequently used medicines in combination with Portulacae Herba were Phellodendri Chinensis Cortex， Rehmanniae Radix and Saposhnikoviae Radix， the four medicines were combined into a new prescription. According to the new prescription to treat diabetes， 89 key core target information was obtained， among which there were 10 targets of drug and disease， including phosphoinositide-3 kinase regulatory subunit 1 （PIK3R1）， insulin （INS）， glucokinase （GCK）， etc. The new prescription treated diabetes by regulating growth hormone receptor signaling， protein kinase A （PKA） activation， adrenoceptors and other pathways. Conclusion:The therapeutic effect of new prescription containing Portulacae Herba created by big data analysis of TCM on diabetes reflects multi-component， multi-target， multi-pathway characteristics of TCM， which can provide scientific basis for explaining the mechanism and material basis of this new prescription in the treatment of diabetes.
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Objective To analyze the prescription regularity of Chinese herbs in the treatment of cancer-related fatigue by TCM inheritance platform system software. Methods A total of documents on treating cancer-related fatigue by Chinese herbs were collected in CNKI database, Wanfang database, VIP database, CBM database from 1999 to 2017. According to the inclusion and exclusion criteria, the eligible prescriptions were selected to establish the database for summing up and analysing prescription regularity. Results A total of 33 articles were included in the analysis of 38 prescriptions, involving 108 kinds of Chinese herbs, of which the most common kinds were hot nature herb, sweetish taste, spleen meridian. Atractylodes, Poria, Licorice, Astragalus, Angelica, Tangerine peel, Codonopsis,Rehmannia had a high frequency of usage. It eventually formed 45 commonly used drug models, evolved into 16 core combinations of 3 to 4 herbs, and clustered into 5 new prescriptions. Conclusion The modern Chinese medicine in treatment of cancer-related fatigue is mainly focused on the spleen and kidney, what' s more, according to the unique nature of cancer treatment, more experts emphasize on the regulation of spleen and stomach function, which provides a useful reference for clinical syndrome differentiation and treatment.
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OBJECTIVE@#To analyze the composition rules of oral prescriptions in the treatment of headache, stomachache and dysmenorrhea recorded in National Standard for Chinese Patent Drugs (NSCPD) enacted by Ministry of Public Health of China and then make comparison between them to better understand pain treatment in different regions of human body.@*METHODS@#Constructed NSCPD database had been constructed in 2014. Prescriptions treating the three pain-related diseases were searched and screened from the database. Then data mining method such as association rules analysis and complex system entropy method integrated in the data mining software Traditional Chinese Medicine Inheritance Support System (TCMISS) were applied to process the data.@*RESULTS@#Top 25 drugs with high frequency in the treatment of each disease were selected, and 51, 33 and 22 core combinations treating headache, stomachache and dysmenorrhea respectively were mined out as well.@*CONCLUSIONS@#The composition rules of the oral prescriptions for treating headache, stomachache and dysmenorrhea recorded in NSCPD has been summarized. Although there were similarities between them, formula varied according to different locations of pain. It can serve as an evidence and reference for clinical treatment and new drug development.
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Based on the database of "Dictionary of Traditional Chinese Medicine Prescriptions", high-frequency herbs of Xiaoke disease is mined by traditional Chinese medicine inheritance support system, and core herbs and combinations are discovered through association rules and cluster analysis. On this basis, based on the integrative pharmacology of traditional Chinese medicine to explore the herb-disease relationship, the "herb-compound-target" network is constructed and enriched for the analysis of key target gene functions, metabolic pathways, and their "core herb-target interactions". In order to explore the molecular mechanism of its prevention and treatment of diabetes, 341 diabetes prescriptions are collected, organized, and tapped in the Dictionary of Traditional Chinese Medicine Prescriptions. Herb frequency statistics show that Licorice was the most commonly used, followed by Ophiopogonis Radix, Poria, Ginseng Radix et Rhizoma, Coptidis Rhizoma, etc., the medicinal properties are mostly cold, warm and ping, and the medicinal taste tends to be pungent, bitter, and sour, and they were attributed to lung meridian, stomach meridian, spleen meridian, etc. Among them, the 17 herbs were closely related. Ginseng Radix et Rhizoma, Ophiopogonis Radix, Poria and Glycyrrhizae Radix et Rhizoma were the core Chinese herbs. Ophiopogonis Radix was the key node of Coptidis Rhizoma, Trichosanthis Radix and core Chinese medicine, and Ophiopogonis Radix was the key node for the connection between Coptidis Rhizoma and Trichosanthis Radix and the core Chinese herbs. Using integrated pharmacology platform analysis, 10 crucial core targets for the prevention and treatment of diabetes were obtained, including the known disease targets (PLCD1, PIK3R1, ENPP1), and potential herb targets(GNB1, ADCY1, AKT1, RAC1, PRKAA1, RHOA) , common target (GCK). There were seven similar targets in the 10 crucial core targets predicted with the combination of "Ophiopogonis Radix, Coptidis Rhizoma and Trichosanthis Radix", including PLCD1, PIK3R1, ENPP1, ADCY1, AKT1, PRKAA1, GCK. These genes were mainly located in the cytosol, plasma membrane, etc., involved in adenosine triphosphate binding, protein binding, platelet activation, etc., mainly involved in the endocrine system, signal transduction, chemokine signaling pathway, cancer pathway, and other metabolic pathways, and it is speculated that these genes were potentially associated with diabetes. In this study, Traditional Chinese Medicine Inheritance Support System and Integrative Pharmacology of Traditional Chinese Medicine are used to analyze the prescription law of Xiaoke prescription, and the correlation of "core herbs-functionary targets" is excavated, which provided the basis and reference for the screening and development of TCM prescriptions for the prevention and treatment of diabetes.
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Data Mining , Drug Prescriptions , Drugs, Chinese Herbal , Pharmacology , Medicine, Chinese Traditional , MeridiansABSTRACT
Objective: To investigate the formula of traditional Chinese medicine to treat IgA nephropathy in the China National Knowledge Internet (CNKI) based on the Traditional Chinese Medicine Inheritance Support System (V2.5) .Methods: Cases of treating IgA nephropathy with Chinese herbal formulas was enrolled to establish IgA nephropathy prescriptions database and the medication rule was explored by the Traditional Chinese Medicine inheritance software.Results: There were 118 IgA nephropathy prescriptions in CNKI, including 227 traditional Chinese medicines. Among them, the commonly efficacy of traditional Chinese medicine was replenishing qi to invigorate the spleen, nourishing yin to clearing heat, promoting blood circulation and the most frequently couplet medicines was Huangqi-Fuling. The evolution resulted in 14 core combinations and 7 new prescriptions. Conclusion: The law of the medicine combination was revealed to treat IgA nephropathy in CNKI and find the novel prescriptions, and it may provide reference for clinical treatment.
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Traditional Chinese medicine inheritance support system (TCMISS, V2.5) was used in this study to analyze the common medicines, frequency of medicine combination, core herbal combinations and new prescriptions for the treatment of plateau disease from the Four-Volume Medical Code, Mannose Herbal Mirror and other related books. TCMISS V2.5 software was used to construct the database of drug treatment for plateau disease. The frequency analysis and association rules apriori algorithm, improved mutual information method and other data mining methods were used to explore the law of drug compatibility. After the analysis of 531 prescriptions for plateau disease, 20 common symptoms of plateau disease were summarized such as insomnia and tinnitus. There were 539 kinds of herbs in the plateau disease prescriptions, including 33 kinds of herbs whose medicinal frequency>=50, such as Terminalia chebula and Myristica fragrans, and T. chebula had the highest medicinal frequency; 14 commonly used herbal combinations, and "Aucklandia lappa-T. chebula" had the highest frequency; 13 core herbal combinations were obtained after entropy clustering analysis, including 8 combinations of three herbs such as "Allium sativum-Carum carvi-Ferula sinkiangensis" and 5 combinations of four herbs such as "A. lappa-Aquilaria sinensis-Ewgewia caryophyllata-Myristica fragrans", and 5 new prescriptions such as "A. sativum-C. carvi-F. sinkiangensis-A. lappa-Choerospondia axillaris-A. sinensis-M. fragrans". The main symptom of "insomnia" was chosen to analyze the treatment of insomnia, and the core herbal combinations mainly including A. sinensis, T. chebula, and C. axillaris as well as the new prescriptions mainly containing Carthamus tinctorius, Meconopsis horridnla, and Punica granatum were obtained. The prescriptions for the treatment of plateau disease were clarified by TCM inheritance system, and the clinical prescription regularity and characteristics of the combination of common medicines were summarized, to provide reference and new ideas for its clinical application and development of new drug research.
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Combined use of drugs is a hot spot in the research of new drugs nowadays, and traditional Chinese medicine (TCM) is a classic practice in the combined use of drugs. In this paper, the compatibility of TCM prescriptions and the related properties of composed herbs were calculated and studied to verify and discuss the feasibility of the results in guiding compatibility. Research Group on New Drug Design, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences had established a structured database of TCM prescriptions by using traditional Chinese medicine inheritance support system (TCMISS V2.0), including 4 012 prescription compatibilities, 2 072 drug components, 381 kinds of TCM diseases, 316 kinds of TCM syndromes and 26 kinds of drug properties. On the basis of the created database above, Support Vector Machine (SVM) was used to analyze the prescription compatibility data and establish a model for predicting feasibility of drug compatibilities. Analytic Hierarchy Process (AHP) and cluster analysis were used to study the influence of drug properties in the rationality of prescription compatibility. The computational results showed that the accuracy in efficacy prediction of two data sets, i.e. prescription-disease and prescription-syndrome, was up to 90% in the linear SVM model. The macro₋averaging and micro₋averaging of the two models were around 0.92, 0.46, respectively. After AHP mapping, most of the incompatible combinations showed significant difference with other drug combinations during the clustering process in the vertical icicle, indicating that the proper machine learning algorithm can be used to lay the foundation for further exploring the combination rules in TCM and establishing more detailed drug-disease and syndrome predicting models, and provide theoretical guidance for the study of the combined use of drugs to a certain degree.
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Objective To explore the composition principles of prescriptions for simple obesity based on the analysis of medical literature issued in recently 30 years about Chinese medicine for simple obesity. Methods We collected literature of Chinese medicine in treating simple obesity from VIP, CNKI, Wanfang, CBM and CMCC/CMCI databases, and screened out the formulas for simple obesity to establish a formula database. And then the medication rules were figured out with the Traditional Chinese medicine Inheritance Support System version 2.5 (TCMISS 2.5) software. Results A total of 57 formulas were screened out. And the top 10 herbs with highest occurrence frequency in the prescriptions were Poria, Rhizoma Atractylodis Macrocephalae, Rhizoma Alismatis, Radix et Rhizoma Rhei, Fructus Crataegi, Radix Astragali, Radix Glycyrrhizae, Folium Nelumbinis, Pericarpium Citri Reticulatae and Semen Cassiae. After data mining, we got 13 high-frequency herb-pair combinations and 31 core combinations, and 8 new prescriptions were extracted. Conclusion The research has achieved the quantitative description of the relationship between the Chinese medicines, the extraction of the core combinations and the discovery of new Chinese medicine prescriptions for simple obesity. The results will provide references for the development of new Chinese medicines for the treatment of simple obesity .
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This study was aimed to analyze the "disease-syndrome-treatment-medicine" experiences of professor Ding for diabetes combined with hypertension by using "traditional Chinese medicine (TCM) inheritance support system (V2.5)".By analyzing the data,we summarized Professor Ding's academic experiences.Through collecting the standard clinical cases,combined with the software analysis system,the composing principles were analyzed by using data mining methods such as frequency statistics,revised mutual information,association rules analysis,cluster analysis,improvement of mutual information,complex system entropy clustering,unsupervised hierarchical clustering entropy and so on.The analysis results showed that 28 patients with diabetes combined with hypertension of yin-deficiency and yang-hyperactivity syndrome,the characteristics were discovered that the highest-frequency used drugs of Ping Gan Xi Feng were concha haliotidis,concha margaritifera,rhizoma gastrodiae;the highest-frequency used drug combinations were "radices rehmanniae,rhizoma dioscoreae","folium mori,cortex mori","semen cuscutae,rhizoma dioscoreae,radices rehmanniae" and so on.Analyzing the 27 patients with diabetes combined with hypertension "wind and fire evils stir up syndrome,the characteristics were discovered that the highest-frequency used drugs of Ping Gan Xi Feng were concha haliotidis,concha margaritifera.In addition to the most common combinations used in diabetes,there were "rhizoma coptidis,spica prunellae","spica prunellae,folium mori","rhizoma coptidis,radices rehmanniae,cortex lycii","spica prunellae,folium mori,rhizoma coptidis" and so on.It was concluded that the syndrome differentiation and treatment of diabetes combined with hypertension was focused on the etiology and pathogenesis of wind and fire.The main treatment principle was to calm the liver to stop the wind,nourish yin and suppress hyperactive yang.
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This study using traditional Chinese medicine inheritance support software(TCMISS) to analyze the prescription rules of Tibetan medicine containing Terminalia chebula in the Encyclopedia of Chinese Medicine-Tibetan Medicine, Tibetan Medicine Composition Preparation of Modern Research and Clinical Application and Common Interpretation of Tibetan Medicine and so on. TCMISS(V2.5) was used to build a prescription database of Tibetan medicine containing T. chebula.The software statistical statement module, association rules and improved mutual information method and other data mining technologies were adopted to analyze the common herbs, combination rules and core combination of prescriptions containing T. chebula.Total 502 prescriptions containing T. chebula were analyzed and 14 common herbal combinations were summarized, whose ingredients mostly had the functions of clearing heat and detoxicating, promoting blood circulation and stopping pain, warming the middle-jiao and promoting the circulation of Qi. Prescriptions containing T. chebula were commonly used to treat 640 kinds of diseases, there are 22 kinds with high frequency(≥12) in which the representative "Tripa" disease, antiquated febrile symptoms, food poisoning had the highest frequency.T. chebula had different therapeutic effects through different compatibility.The complex composing and medication regularities of Tibetan medicine containing T. chebula have been clarified by TCMISS. That will provide reference for the clinical application of T. chebula and the new development.
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To analyze the prescription and medication rules of Chinese medicines in the treatment of palpitations in the Chinese journal full text database(CNKI) by using traditional Chinese medicine inheritance system, and provide a reference for further research and development of modern traditional Chinese medicines(TCMs) in treatment of palpitations. In order to give better guidance for clinical mediation, prescriptions used for treatment of palpitations in CNKI were collected, and then were input to the TCM inheritance support system for establishing a Chinese medicine prescription database for palpitations. The software's revised mutual information, complex system entropy clustering and other data mining methods were adopted to analyze the prescriptions according to the frequencies of herbs, "four natures", "five flavors" and "meridians" of the high-frequency medicines in the database, identify the core herbs and application characteristics, and analyze the prescription rules and medication experience. Totally, 545 prescriptions used for palpitation were included in this study and involved 247 Chinese herbs. The analysis results showed that the herbs in prescriptions for palpitation mostly had the warm property, and the herbs in heart and spleen meridian accounted for a larger proportion, indicating that the treatment was mainly to nourish heart and strengthen spleen. The top 11 herbs in usage frequency were consistent with the high-frequency medicines in medication patterns of common herbal pairs; therefore, we considered that these 11 herbs were the core herbs; the core herbal combination included Cassia Twig, Licorice, fossil fragments, Ostreae decoction, and evolved into 9 new prescriptions for treating palpitation. Our results objectively presented the prescription and medication rules for treating palpitation and provided extremely effective guidance for the clinical therapy.
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To explore the clinical acupoint selection rule of rheumatoid arthritis(RA) treated with acupuncture by literature analysis. The related articles were retrieved in 6 Chinese and English databases,including CNKI,VIP,,PubMed,Medline and Cochrane. We established a holistic acupoint database and a disease location acupoint database. The results show that there are 120 acupuncture prescriptions and 143 acupoints,with the highest frequency of Zusanli(ST 36). Local acupoints are mainly used for disease locations. The highest acupoin-tcombination frequency of 32 for mandibular joint shows Kunlun(BL 60) and Jiexi(ST 41);22 for finger joint,Baxie(EX-UE 9) and Zusanli(ST 36);28 for wrist joint,Yangxi(LI 5) and Yangchi(TE 4);24 for elbow joint,Quchi(LI 11) and Zusanli(ST 36);21 for shoulder joint,Jianyu(LI 15) and Zusanli(ST 36);13 for spine joint,Yaoyangguan(GV 3) and Shenzhu(GV 12);18 for hip joint,Zhibian(BL 54) and Huantiao(GB 30);20 for knee joint,Shenshu(BL 23) and Yanglingquan(GB 34);32 for ankle joint,Kunlun(BL 60) and Jiexi(ST 41);22 for toe joint,Baxie(EX-UE 9) and Zusanli(ST 36);25 for whole body joints,Yanglingquan(GB 34) and Zusanli(ST 36). Thirty new acupoint prescriptions are found by entropy clustering analysis for different disease regions induced by RA. There exists the acupoint selection rule for acupuncture treating RA and the new prescriptions need to be clinical verification.
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This study was aimed to discuss and analyze the medication rules for prescriptions containing Pterocephali Herba in Chinese Medical Encyclopedia - Tibetan Medicine, Tibetan Medicine Prescription Modern Research and Clinical Application, and Interpretation of Common Tibetan Medicines based on the collection of Pterocephali Herba and by using the "Traditional Chinese Medicine Inheritance Support system(V2.0.1)",with the use of association rules, apriori algorithm and other data mining methods. The frequency of single drug, the frequency of drug combination, the association rule and the combination of core drugs were analyzed. Through collection of the prescriptions, a total of 215 prescriptions were included, involving a total of 376 herbs. Through the "frequency statistics", the prescriptions containing Pterocephali Herba were commonly used to treat cold fever, distemper virus and arthritis. The highest frequently (frequency≥15) used drugs were Corydalis Herba, Lagotidis Herba, and Gentianae Macrophyllae Radix, et al. The most frequently used drug combinations were "Pterocephali Herba, Corydalis Herba","Pterocephali Herba, Lagotidis Herba", and "Pterocephali Herba, Gentianae Macrophyllae Radix" et al. The prescriptions containing Pterocephali Herba were used to primarily treat disease for Tourette syndrome caused by the dampness heat toxin, fever, arthritis etc, such as pestilent toxicity, pneumonia and influenza, rheumatoid arthritis etc. The drugs in the prescriptions mostly had the effects of heat-clearing and detoxifying, anti-inflammatory, dispelling wind and dampness, often in compatible use with heat-clearing drugs. The drug use was concentrated and reflected the clear thought of prescription statutes.
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In this article, medication characteristics of professor Li Dian-gui in treating chronic atrophic gastritis with intestinal metaplasia(CAGIM) were analyzed through traditional Chinese medicine inheritance support system(version 2.5). 276 cases and 625 prescriptions were collected to analyze five types of traditional Chinese medicine(TCM) syndromes and the medicine-syndrome correlation. The results showed that medication characteristics of professor Li Dian-gui in treating CAGIM included drug combination of aromatic medicine bitter-cold herbs, preferring to activating to invigorate the spleen and good at using the qi-regulating drugs. It demonstrated that we can adopt the therapy of Huazhuo Jiedu and Xingpi Xingqi therapies in treating CAGIM in addition to the traditional approach of nourishing Yin and activating blood circulation, opening up a novel approach for TCM in healing the pathema.
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Gardeniae Fructus, which is widely used in health foods and clinical medicines, is a type of edible food and medicine. Dictionary of traditional Chinese medicine prescriptions provides good materials for prescription analysis and the R&D of traditional Chinese medicines. The composition regularity of formulae containing Gardeniae Fructus in dictionary of traditional Chinese medicine prescriptions was analyzed on the basis of the traditional Chinese medicine inheritance support system(TCMISS), in order to provide reference for clinical application and the R&D of new drugs. TCMISS was applied to establish a database of prescriptions containing Gardeniae Fructus. The software's frequency statistics and association rules and other date mining technologies were adopted to analyze commonly used drugs, combination rules and core combined formulae containing Gardeniae Fructus. Totally 3 523 prescriptions were included in this study and involved 1 725 Chinese herbs. With a support degree of 352(10%) and confidence coefficient of 90%, 57 most commonly used drug combinations were screened. Drugs adopted in core combinations were relatively concentrated and selected according to definite composition methods. They were used to mainly treat 18 diseases. Gardeniae Fructus have often been combined with herbs for heat-clearing and detoxification, expelling pathogenic wind, relieving exterior syndrome, invigorating the circulation of blood and gas and promoting blood circulation for removing blood stasis to mainly treat jaundice, typhoid, headache and other syndromes.