ABSTRACT
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.
ABSTRACT
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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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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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.
ABSTRACT
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.