Analysis of the Formulation Regularity for Chinese Patent Medicines Containing Paeonia lactiflora Based on Data Mining / 中国药房

OBJECTIVE： To analyze the formulation regularity of Chinese patent medicines containing Paeonia lactiflora， and to provide evidence for modern clinical application and R&D of P. lactiflora. METHODS： The formulations of Chinese patent medicine containing P. lactiflora were collected from Chinese Materia Medica Preparation and 2015 edition of Chinese Pharmacopeia. Statistical analysis was performed on the frequency of medicinal material， channel tropism， distribution of attending syndromes and attending diseases， core medicine combination （support degrees were set as 10％， 20％， 30％ and confidence degree was 0.9） by using data mining methods such as descriptive statistics and association rule analysis in TCM Inheritance System V 2.5； the formulation regularity of common attending syndromes and attending diseases （support degrees were set as 20％， 30％， 40％ and confidence degree was 0.9） was analyzed. RESULTS： A total of 600 Chinese patent medicine formulations contained P. lactiflora， involving 673 ingredients. The main medicinal properties in Chinese patent medicines containing P. lactiflora were warm， followed by cold and neutral. The main medicinal flavor was sweet， followed by bitter and pungent. The main channel tropism was spleen， liver and heart channel. There were 165 kinds of main treatment diseases （menstrual disorder， dysmenorrhea， dizziness） and 159 main treatment syndromes （insufficiency of qi and blood， qi stagnation and blood stasis， liver and kidney deficiency）. Under the condition of 30％ support degree and 0.9 confidence degree， there were 20 core combination of Chinese patent medicine formulations containing P. lactiflora （Glycyrrhiza uralensis-P. lactiflora， Angelica sinensis-P. lactiflora， P. lactiflora-Poria cocos） and 19 association rules among drugs. Under the condition of 40％ support degree and 0.9 confidence degree， there were 8 core medicines in Chinese patent medicines containing P. lactiflora for menstrual disorders （such as P. lactiflora， Cyperus rotundus， A. sinensis）， 9 core medicines for dizziness （such as P. lactiflora， Rehmannia glutinosa， A. sinensis）， 9 core medicines for qi and blood deficiency （such as P. lactiflora， Atractylodes macrocephala， P. cocos）， and 10 core medicines for qi stagnation and blood stasis syndrome （such as P. lactiflora， Aucklandia lappa， G. uralensis）. CONCLUSIONS： In this study， data mining was used to analysis the main symptoms， compatibility characteristics and formulation rules of Chinese patent medicines containing P. lactiflora， which can provide a basis for the modern clinical application and new drug development of P. lactiflora.

Analysis of professor Lin Yi's experience for metastasis breast cancer by data mining / 中国中药杂志

Data mining method based on the traditional Chinese medicine(TCM) inheritance system(V2.5) was adopted to analyze professor Lin Yi's experience for metastasis breast cancer(MBC) by analysing the high frequency medicine, drug categories，drug properties，the key symptoms and key drugs of different metastasis regions and different syndromes, drug symptom analysis in the effective prescriptions for treating MBC by Lin from January 2013 to December 2017. A total of 89 MBC patients, 5 syndromes and 117 prescriptions were involved. The first 10 most frequently used were Atractylodis Macrocephalae Rhizoma, Poria, Dioscoreae Rhizoma, Coicis Semen, Crataegi Fructus, Hordei Fructus Germinatus, Galli Gigerii Endothelium Corneum, Hedyotis Diffusa, Codonopsis Radix, Astragali Radix. The warm and placid property was higher, the most herbs had Gan taste, the first two channel tropisms were spleen and the stomach. Drug symptom analysis in 5 different metastasis regions and 6 different syndromes were also been done. The conclusion showed that professor Lin's experience as: recognizing the basis of diseases,differentiating the syndrome, combinating disease and syndrome, cautiously grasping pathogenesis,combinating tonification and purgation together, regulating balance, treating the symptoms and origin, regulating spleen and stomach, caring for the postnatal throughout, prefering ancient prescription,rational compatibility, using medicine gently.

Prescription rules of Chinese medicines for ulcerative colitis and potential molecular mechanism research / 中草药

Objective: Based on traditional Chinese medicine (TCM) inheritance system and integrated pharmacology platform for data mining of ulcerative colitis prescription, The difference of molecular mechanism between high-frequency herb combination and potential new prescriptions were screened to explore the potential molecular targets and signal pathways. Methods: The prescriptions of ulcerative colitis were collected from “Chinese medicine prescription dictionary”. Association rules and complex system entropy clustering were used to determine the frequency of usage and association rules of each drug, and identify high-frequency herb combinations and new potential prescriptions. By using integration platform, network construction and target prediction, the disease-target network, herb-target network, GO and KEGG pathway of ulcerative colitis related preparations of high frequency as well as potential new pairs were analyzed. The potential molecular mechanism of ulcerative colitis related targets was compared in high-frequency and new prescriptions by analysis of functions and pathways. Results: From 257 prescriptions, the frequency of usage and the association rules of prescription herb were analyzed. A total of six core combinations and three new potential prescriptions were identified, and the disease-target relationship obtained, and molecular mechanism differences between the high-frequency herb combination and the new potential prescription were compared. Conclusion: Combination of TCM inheritance system and integrated pharmacology platform can help to explore the TCM formula and potential molecular mechanism of ulcerative colitis treatment from a macro and micro perspective, and provide the guidance for the further research of classic prescription and its derivatives.

Discussion on Syndrome and Treatment Rules of Set Prescription Preparation Containing Platycodon grandiflorum-Glycyrrhiza uralensis Based on Data Mining / 中国药房

OBJECTIVE:To provide reference for clinical application and related new drug R&D of the couplet medicines of Platycodon grandiflorum-Glycyrrhiza uralensis. METHODS:All set prescription preparations containing P. grandiflorum-G. uralensis in Ministry of Public Health Drug Standard·TCM Set Prescription Preparation were collected;data mining and analysis for the syndrome and treatment rules of these prescriptions were performed by using TCM Inheritance System V 2.5. RESULTS:There were a total of 315 set prescription preparations containing couplet medicine of P. grandiflorum-G. uralensis , 89 main syndromes and 88 main diseases. Among of them,high frequency major syndrome were exterior syndrome attacked by wind-heat and exterior syndrome tightened by wind-cold,and dominating medicine combination were respectively Yinqiao powder and Xingsu powder. High frequency main diseases were common cold and cough. Core medicine combination in the treatment of common cold included Yinqiao powder, Xingsu powder,Huoxiang zhengqi powder and Chaihu zhijie decoction,etc. Core medicine combination in the treatment of cough included Xingsu powder,Zhisou powder,Tongxuan lifei pills and Qingjin huatan decoction,etc. CONCLUSIONS:The study confirms the syndrome and treatment rules of set prescription preparations containing couplet medicines of P. grandiflorum-G. uralensis , and could provide evidence for clinical application of the couplet medicines of P. grandiflorum-G. uralensis and new drug R&D.

Analysis on Composition Principles of Prescriptions for Treating Nervous Urinary Frequency of Children Based on Literature / 中国中医药信息杂志

Objective To analyze the composing principles of herbs in prescriptions for treating nervous urinary frequency of children by using traditional Chinese medicine. Methods The prescriptions for treating nervous urinary frequency of children were searched in CNKI, VIP, Wanfang database to establish relevant database, and the composing principles were analyzed by using revised mutual information, complex system entropy cluster, and unsupervised hierarchical clustering in the TCM inheritance system after data entry. Results Based on the analysis of 117 entries in 63 cases of prescriptions, the frequency of 32 entries was more than 5 times;22 combinations contained 2 to 3 entries, including 10 entries in total 11 medicine association rules and their confidence coefficient were obtained, which leaded to 14 new core combinations and 7 new prescriptions. Conclusion Nervous urinary frequency of children is mainly treated with the tonification by Chinese herbal compound, in particular with the herbs which can nourish kidney and reduce urination. The new prescriptions were generated by TCM inheritance system, which need verification through clinical trials.

Research on medication rules of urticaria treatment based on data mining / 国际中医中药杂志

Objective A traditional Chinese medicine (TCM) inheritance assist system software was used to analyze the medication experiences of treating urticaria.Methods Literatures in three TCM medical books about the treatment of urticaria were collected and analyzed in terms of the utilizing frequency and association rules between different medicines. Data mining research methods such as Apriori algorithm, complex system entropy cluster and unsupervised hierarchical cluster were used in the research.Results Based on 138 screened prescriptions, the study confirmed that the frequency of using Radix sileriswas was highest, and 20 drugs elected in 218 prescription drugs were used more than 20 times. According to the utilizing frequency order of pharmaceutical compositions from high to low, association rules between drugs ranked in the top four were‘ Radix sileris- Cicada slough’, ‘Radix sileris- Schizonepeta’, ‘Radix sileris- Paeonia’, and ‘Schizonepeta- Cicadaslough’. Meanwhile, 30 pharmaceutical drug combinations and 14 new prescriptions were found. Conclusion The research, based on TCM inheritance assist system software platform and data mining method on medication rules of urticaria treatment prescriptions, is instructive in the clinical treatment of urticaria and also provide useful reference for the development of the new drug on urticaria.