Intervention Effect of New Chinese Herbal Prescription Selected by Data Mining Against Decreased Ovarian Reserve in Rats / 中国实验方剂学杂志

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^-1 determined according to the dosage in the instruction） and 3.037 5， 6.075， and 9.12 g·kg^-1 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 （E₂） 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 E₂ 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^-1） has been proved optimal.

Discussion on Prescription Discovery and Molecular Mechanism of Portulacae Herba in Treating Diabetes Mellitus Based on Data Mining and Integrative Pharmacology / 中国实验方剂学杂志

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.

Research on compatibility rule of traditional Chinese medicine for treatment of hyperhomocysteinemia based on data mining / 中草药

Objective: To summarize the medication rules of traditional Chinese medicine for treatment of hyperhomocysteinemia (HHcy) by data mining. Methods: To collect the relevant literatures of TCM treatment of HHcy from CNKI, VIP, Wanfang Data, CBM from the establishment of the database to December 31, 2019. TCMSS V 2.5 was used to count the frequency of medication, common drug pairs and drug combinations; Association rules, improved mutual information method, complex system entropy cluster analysis were used to analyze drug association rules and core drug combinations; Unsupervised entropy hierarchical clustering was used to analyze the new prescriptions. Results: There were 156 prescriptions with 199 Chinese medicinal herbs and 46 Chinese medicinal herbs of them with functions of promoting blood circulation and removing blood stasis, promoting urination and draining dampness, pacifying liver and extingushing wind and tonic deficiency were used for more than 10 times,. A total of 33 high-frequency drug combinations were obtained through data mining, and the top five combinations were Poria-Gastrodiae Rhizoma, Chuanxiong Rhizoma-Angelicae Sinensis Radix, Chuanxiong Rhizoma-Astragali Radix, Carthami Flos-Chuanxiong Rhizoma and Chuanxiong Rhizoma-Gastrodiae Rhizoma. A total of 20 core drug combinations and 10 potential new prescriptions were obtained through evolution. Conclusion: In the treatment of HHcy in TCM, blood-activating and stasis-resolving medicines, urination-promoting and dampness-draining medicines, liver-pacifying and wind-extingushing medicines and tonic deficiency medicines were mostly used. These prescriptions show that the main methods of promoting blood circulation and removing blood stasis, and resolving phlegm and turbidity, as well as supplementing qi and invigorating spleen, promoting urination and draining dampness, removing phlegm and widening chest reflect the characteristics of addressing both the symptoms and root causes of TCM.

Study on Medication Regulation and Pharmaceutical Property of Tibetan Medicine Prescription of Punica gran- atum Seeds Based on Apriori Algorithm and “Ro Nus Zhu rJes ”Vector Model / 中国药房

OBJECTIVE：To invest igate the medication regulation of Tibetan medicine prescription of Punica granatum seeds， and to analyze the pharmaceutical property of it in the treatment of “Sanweihuo”（Me drod gusm) dysfunction induced-related diseases. METHODS ：Using Clinical Notes of Tibetan Medicine ，Medicine Standard of the Ministry of Public Health ：Tibetan Medicine as standard ，Tibetan medicine prescriptions of P. granatum seeds recorded in Sibu Yidian ，Yuewang Yaozhen and other medical records were collected ，and TCMISS V 2.5 software was used to analyze main indication and medicine frequency statistically. The core medicine combinations of the prescriptions were analyzed with Apriori algorithm （support degree ≥50％， confidence degree ≥90％)，and medication regulations were analyzed. Tibetan medicine “Ro Nus Zhu rJes ”vector model was used to analyze the properties of Tibetan medicine prescription of P. granatum seeds in the treatment of high frequency diseases ，and K-means cluster analysis was carried out for seventeen effectiveness. RESULTS ：A total of 300 Tibetan medicine prescriptions of P. granatum seeds were collected ，involving 104 kinds of main indications ，among which frequency of 18 kinds of indications was more than or equal to 10 times，including“non-indigestion syndrome ”（Ma Zhu ba) （76 times)，“wood cloth disease ”（Smug po) （46 times)，“edema”（Chu nad) （34 times)，etc. Totally 322 kinds of Tibetan medicines were involved. Among them ，21 flavors were more than or equal to 50 in frequency ，including Piper longum （192 times)，Amomum kravanh （164 times) and Carthamus tinctorius（134 times)，etc. Fifty-six core combinations were obtained ，mainly including P. granatum seeds-P. longum （192 times)， P. granatum seeds-A. kravanh （164 times) and P. granatum seeds-C. tinctorius （134 times). The prescriptions （13 pieces) with six flavors as pungent ，sweet and sour ，and with prominent medicinal properties such as roughness ，heat and dry effects could be used to treat “non-indigestion syndrome ”，and then included into type Ⅰ. The prescriptions （13 pieces) with six flavors as bitter ，sweet and pungent ，and with prominent medicinal properties such as cooling ，dull and heavy effects could be used to treat “wood cloth disease”，and then included into type Ⅱ. The prescriptions （11 pieces) with six flavors as sweet ，sour and pungent ，and with prominent medicinal properties such as dull ，heavy and moistening effects could be used to treat “edema”，and then included into type Ⅲ. CONCLUSIONS ：Tibetan medicine P. granatum seeds is often used in combination with the isothermal medicines such as P. longum ，A. kravanh . P. granatum seeds are also commonly found in cool prescriptions ，revealing that Tibetan medicine pays attention to “Sanweihuo”while treating diseases ，which embodies the academic thought of Tibetan medicine that “there is cooling in temperature ，and there is temperature in cooling ”.

Analysis of traditional Chinese medicine prescriptions based on support vector machine and analytic hierarchy process / 中国中药杂志

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.

Analyze prescription rules of Professor Jiang Liangduo treatment for abdominal mass based on traditional Chinese medicine inheritance platform / 中国中药杂志

To investigate the herbal prescription rules of Professor Jiang Liangduo in the treatment of abdominal mass based on the traditional Chinese medicine inheritance support system software (TCMISS) of version 2.5, find out new herbal formulas for the treatment of abdominal mass, and then provide new reference to its traditional Chinese medicine therapy. By the method of retrospective study, one hundred and thirty-two outpatient prescriptions of Professor Jiang for the treatment of abdominal mass were collected to establish a typical database with TCMISS. Four properties, five tastes, channel tropism, frequency count, Chinese herbal prescriptions rules and the new prescriptions were analyzed so as to dig out the prescription rules. There were 57 herbs with a frequency>=15, and then 91 core combinations of 2-5 herbs were evolved and 9 new prescriptions were created. It was found out that these drugs mainly had the effects of liver nourishing and soothing, soft-moist and dredging-tonifying, supporting right and dispeling evil, cooperating with the method of calming the liver and resolving hard lump according to the actual situation. It reflected the thought of treatment based on syndrome differentiation in TCM, and provided a new reference for its clinical treatment and research.

Analysis on prescription rules of Chen Baogui's prescriptions for treating epigastric fullness based on data mining / 中国中药杂志

To summary and analyze the prescription rules of Professor Chen Baogui, a famous traditional Chinese medicine (TCM) doctor, for treating epigastric fullness. Professor Chen Baogui's prescriptions for treating epigastric fullness were collected and the treatment data were input into traditional Chinese medicine inheritance support system (TCMISS) to analyze the rules of the prescriptions by using data mining methods. Based on the screened 214 cases, the treatment experience of Professor Chen Baogui for treating epigastric fullness was summarized and analyzed. It was found that Professor Chen gave priority to recuperation of Qi activity. The results of four properties and five tastes showed Professor Chen's medication compatibility rules: one was simultaneous use of cold and warm drugs, and the other was simultaneous use of pungent drugs for dispersion and bitter drugs for purgation. In drug use, the basic prescriptions had the efficacy of promoting Qi circulation and regulating viscera function, additionally with the drugs with functions of eliminating digestion and inducing stagnation, activating blood circulation to dissipate blood stasis, replenishing Qi and nourishing Yin, tranquilizing mind, strengthening muscles and bones according to the TCM syndrome type. The clinical experience of Professor Chen for treating epigastric fullness was objectively summarized with the help of TCMISS, which was significant for analyzing and inheriting academic thinking and medication experience from famous TCM doctors.

Analysis on composition principles of Tibetan medicine containing Terminalia chebula by data mining / 中国中药杂志

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.

Analysis on composition principles of formulae containing Gardeniae Fructus in dictionary of traditional Chinese medicine prescriptions / 中国中药杂志

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.

Prescription rules of preparations containing Crataegi Fructus in Chinese patent drug / 中国中药杂志

To analyze the prescription rules of preparations containing Crataegi Fructus in the drug standards of the People's Republic of China Ministry of Public Health-Chinese Patent Drug(hereinafter referred to as Chinese patent drug), and provide some references for clinical application and the research and development of new medicines. Based on TCMISS(V2.5), the prescriptions containing Crataegi Fructus in Chinese patent drug were collected to build the database; association rules, frequency statistics and other data mining methods were used to analyze the disease syndrome, common drug compatibility and prescription rules. There were a total of 308 prescriptions containing Crataegi Fructus, involving 499 kinds of Chinese medicines, 34 commonly used drug combinations, and mainly for 18 kinds of diseases. Drug combination analysis was done with "Crataegi Fructus-Citri Reticulatae Pericarpium" and "Crataegi Fructus-Poria" as the high-frequency herb pairs and with "stagnation" and "diarrhea" as the high-frequency diseases. The results indicated that the Crataegi Fructus in different herb pairs had a roughly same function, and its therapy effect was different in different diseases. The prescriptions containing Crataegi Fructus in Chinese patent drug had the effect of digestion, and they were widely used in clinical application, often used together with spleen-strengthening medicines to achieve different treatment effects; the prescription rules reflected the prescription characteristics of Crataegi Fructus for different diseases, providing a basis for its clinically scientific application and the research and development of new medicines.