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1.
Article in English | WPRIM | ID: wpr-880534

ABSTRACT

OBJECTIVE@#To investigate the evolution of herbal medicine in treating tuberculosis (TB) and encourage anti-TB drug discovery and development.@*METHODS@#In this study, 477 ancient traditional Chinese medicine formulae were collected from the Dictionary of Traditional Chinese Medicine Prescriptions and 172 modern Chinese medicine formulae (from 1986 to 2016) were collected by searching 4 databases: WanFang Data Knowledge Service Platform, China National Knowledge Infrastructure Database (CNKI), China Science and Technology Journal Database (VIP) and Chinese Bio-medical Literature and Retrieval System (SinoMed) in Chinese. We restricted the search to publications in Chinese. Further data analysis was done using the Traditional Chinese Medicine Inheritance Support System version 2 Software.@*RESULTS@#There were 425 herbs in the 477 ancient formulae and 257 herbs in the 172 modern formulae. Half of the top 30 herbs were shared by both modern and ancient prescriptions. They are Radix Ophiopogonis, Astragalus membranaceus, Fritillaria cirrhosa, Dried rehmannia glutinosa, Poria cocos, Angelica sinensis, Prepared rehmannia glutinosa, Platycodon Root, Radix paeoniae alba, Schisandra chinensis, Bighead atractylodes rhizome, Rhizoma anemarrhenae, Cortex lycii radicis and Radix Scutellariae. Only two groups of herbs with a high correlation coefficient were found in both modern and ancient prescriptions, the Dried rehmannia glutinosa with Radix ophiopogonis, and Radix ophiopogonis with Prepared rehmannia glutinosa. There were 9 and 15 core herb combinations in modern and ancient prescriptions, respectively, but no one was found simutaniously in both modern and ancient prescriptions.@*CONCLUSIONS@#Although there were wide variations in the herb groups and herb combinations in the formulae, half of the top 30 herbs were found in both modern and ancient prescriptions. The core herb combinations in modern and ancient prescriptions could help us to improve the priscription for treatment of TB.

2.
Article in Chinese | WPRIM | ID: wpr-879031

ABSTRACT

It is the core of the development for Chinese patent medicine enterprises to cultivate large varieties of Chinese patent medicine, and the selection of potential "seed" products is the prerequisite for the cultivation strategy. By constructing the evaluation model from multiple dimensions of value and risk, we can conduct specialized evaluation of Chinese patent medicines to effectively, professionally and objectively select the "seed" products with large variety cultivation potential. In this paper, the establishment of a multidimensional evaluation system would be discussed from the aspects of drug naming and prescription composition, safety risk and supply guarantee of raw materials and medicinal materials, competition situation, access to policy catalogue, scientific and technological support, clinical evidence and recognition, systematical and standardized collection of information on product instructions, quality standards, policy catalogue, scientific and technological literature, market competition and clinical application of Chinese patent medicines. Through the objective evaluation index and the range of objective index, the multi-dimensional evaluation model on values and risks of Chinese patent medicine products was discussed. Based on this model, a batch of Chinese patent medicine products can be quickly and comprehensively analyzed, and quantitative comparison can be formed among different types and fields of products. According to the evaluation results of the model and the comprehensive evaluation of experts, high-quality "seed" products can be selec-ted, laying a solid foundation for the next step of large variety cultivation. With use of this model, we can further clarify the external competitive advantages and internal priority levels of each product, and provide support for enterprises to optimize product structure and improve product strategic layout.


Subject(s)
China , Drugs, Chinese Herbal/adverse effects , Medicine, Chinese Traditional , Nonprescription Drugs/adverse effects , Quality Control
3.
Article in Chinese | WPRIM | ID: wpr-878950

ABSTRACT

The network pharmacology and molecular docking methods were used to explore the mechanism of Jinweitai Capsules in the treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis. The chemical components of herbs in Jinweitai Capsules were collected through TCMSP, CNKI and PubMed. Target prediction was performed through PubChem and SwissTargetPrediction databases; genes relating to acute and chronic gastritis, gastric and duodenal ulcers, chronic colitis were collected from OMIM database; potential targets of Jinweitai Capsules for relevant gastrointestinal diseases were obtained by Venny analysis; DAVID database was used to perform GO and KEGG enrichment analysis; protein interactions were obtained by STRING database and visua-lized by Cytoscape; AutoDockVina was used for molecular docking of AKT1, EGFR, PTPN11 and its reverse-selected chemical components. Potential mechanisms of Jinweitai Capsules in treating relevant gastrointestinal diseases were clarified according to the results of the docking. The results showed 86 potential active ingredients of Jinweitai Capsules and 268 potential targets for treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis. KEGG pathway enrichment analysis showed that 20 pathways relating to acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis mainly involved calcium signaling pathway and chemokine signaling pathway. Molecular docking showed a good binding activity between AKT1, EGFR, PTPN11 and its reverse screening chemical components. Jinweitai Capsules may exert an effect in the treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis by acting on AKT1, EGFR, PTPN11 and other targets in 15 signal pathways relating to cell inflammation and immunity, cell proliferation and apoptosis, Helicobacter pylori infection, and gastrointestinal tract.


Subject(s)
Capsules , Drugs, Chinese Herbal , Gastrointestinal Diseases/drug therapy , Helicobacter Infections , Helicobacter pylori , Humans , Medicine , Molecular Docking Simulation
4.
Article in Chinese | WPRIM | ID: wpr-873212

ABSTRACT

Since the outbreak of coronavirus disease 2019 (COVID-19), the health authorities in various regions have formulated a group of traditional Chinese medicine (TCM) diagnosis and treatment programs based on the consensus analysis of etiology and pathogenesis of TCM experts, and recommended the guiding prescriptions for different syndromes in three stages of prevention, treatment and recovery. In order to effectively summarize the understanding of the pathogenesis of each scheme and the rules of the formulation of various prescriptions, based on 49 TCM prevention and treatment plans issued by the health administration departments, 308 TCM prescriptions were sorted by stages (151 prescriptions in the treatment period, 118 prescriptions in the prevention period and 39 prescriptions in the recovery period). The 2019-nCoV pneumonia prescriptions was further processed by using TCM inheritance platform system. The common syndromes and the frequency of commonly used Chinese medicines were summed up. The commonly used drug pairs and combinations in different stages were extracted, and their association rules were analyzed. The rules of the Chinese herbal prescription for COVID-19 were preliminarily summarized. During the treatment period, the main syndrome types are inner blocking causing collapse, epidemic toxin in the lung, cold dampness in the lung and toxic heat in the lung, involving 187 kinds of herbs, 29 kinds of herbs with single taste frequency more than 20 times.Armeniacae Semen Amarum is the most frequently used, Gypsum Fibrosum-Armeniacae Semen Amarum is the most frequently used drug-pair, the core formula is Maxing Shigan Tang, and the main pathogenesis is cold, wet and heat. There is no unified syndrome type in the prevention period, involving 119 herbs in total. There are 13 kinds of herbs with single taste frequency more than 20 times. The most frequently used is Astragali Radix. The most frequently used medicine pair is Astragali Radix-Saposhnikoviae Radix. The core formula is Yupingfeng San, and the main pathogenesis is Qi deficiency. During the recovery period, the main syndromes are deficiency of lung and spleen Qi deficiency and Qi and Yin deficiency, involving 113 herbs, 12 kinds of herbs with single taste frequency more than 10 times, Poria with the highest frequency of use, Citri Reticulatae Pericarpium-Poria with the highest frequency of drug pairing, Erchentang and Shengmaiyin with the main pathogenesis of deficiency of spleen Qi and Yin. The purpose of this study is to provide multiple references for strengthening clinical precise treatment, improving the effect of TCM treatment and promoting the management of TCM prevention and control resources.

5.
Article in Chinese | WPRIM | ID: wpr-873039

ABSTRACT

Chinese patent medicines have the basic characteristics of great clinical value, strong scientific value and high market value. It is not only the core engine of traditional Chinese medicine (TCM) industry development but also the important content of TCM academic development, which is the great significance of the cause and industry of TCM. In this study, based on reviewing the methods and models of TCM theoretical, the innovation of TCM theory and Chinese patent medicines were hitting-point, which it is emphasized that the creation of effective formula is the concentrated embodiment of the theoretical innovation research results, and the Suhuang Zhike capsule and fengke theory, Tongxinluo capsule and collateral disease theory were taken as examples. On this basis, the ideas and strategies were put forward to realizing the theoretical innovation research of TCM with the large varieties of TCM as the carrier, that is, based on combing and analyzing the prescription rules and functional indications of the large varieties of TCM, and deepening the theoretical connotation of it. Meanwhile, not only emphasized the general theoretical understanding but also paid attention to the application of unique drugs and their compatibility. It not only satisfies the modern scientific connotation of revealing the role of TCM, but also explores unknown or possible new targets, new pathways and mechanisms by using large varieties of proprietary Chinese medicines to promote scientific discoveries and lead medical research.

6.
Article in Chinese | WPRIM | ID: wpr-872646

ABSTRACT

The scientific interpretation of the connotation of traditional Chinese medicine (TCM) theory is an important part of the development of TCM. Combined ancient classic theories with modern science and technology is a new path for the innovative development of TCM theory. Based on this, taking Zhishi Xiebai Guizhitang as an example, the molecular mining technology of integrative pharmacology-based research platform of TCM V2.0 (TCMIP V2.0) was used to analyze the mechanism of Zhishi Xiebai Guizhitang in preventing and treating gastropathic stomachache. A total of 220 chemical components in Zhishi Xiebai Guizhitang were obtained, and 674 targets were involved, of which 12 core targets directly affected angina pectoris and gastroesophageal reflux disease, including insulin (INS), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), RAC-α serine/threonine-protein kinase 1 (AKT1), tumour protein p53 (TP53), albumin (Alb), mitogen-activated protein kinase 3 (MAPK3), interleukin-6 (IL-6), etc. And tumor necrosis factor (TNF) signaling pathway, phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) signaling pathway, IL-17 signaling pathway, hypoxia-inducible factor-1 (HIF-1) signaling pathway and other 121 pathways involved in these related diseases. All of these are the biological basis of Weiluo Tongxin theory. Combing the classical theories of TCM combined with the exploring the molecular mechanism of representative prescriptions can provide a demonstration and reference for the scientific connotation research of TCM theory.

7.
Article in Chinese | WPRIM | ID: wpr-872643

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.

8.
Article in Chinese | WPRIM | ID: wpr-828019

ABSTRACT

With the global outbreak of coronavirus disease 2019(COVID-19), screening of effective drugs has became the emphasis of research today; furthermore, screening of Chinese classic prescriptions has became one of the directions for drug development. This study analyzed the application of classic prescriptions in the diagnosis and treatment schemes based on the Diagnosis and Treatment Schemes for Coronavirus Disease at the country, provincial and municipal levels, and further explored its disrobing effect on COVID-19 disease severe phase network, and selected representative prescriptions for core target screening and gene enrichment analysis, so as to reveal its mechanism of action. Among them, 13 prescriptions were found to be used for 10 times or more, including Maxing Shigan Tang, Yinqiao San, Shengjiang San, Dayuan Drink, Xuanbai Chengqi Decoction. In addition, the COVID-19 efficacy prediction analysis platform(TCMATCOV platform) was used to calculate the network disturbances of the Chinese classic prescriptions involved. Based on the prediction results, 68 classic prescriptions were assessed on the COVID-19 disease network robustness disturbance. The average disturbance scores for the interaction confidence scores were ranked to be 0.4, 0.5, and 0.6 from the highest to the lowest. There were 7 prescriptions with a score of 17 or more, and 50 prescriptions with a score of 13 or more. Among them, the top three prescriptions were Ganlu Xiaodu Dan(18.19), Lengxiao Wan(17.74), and Maxing Shigan Tang(17.62). After further mining the action targets of these three prescriptions, it was found that COVID-19 disease-specific factors Ccl2, IL10, IL6 and TNF were all the targets of three prescriptions. Through the enrichment analysis of the biological processes of the core targets, it was found that the three prescriptions may prevent the development of the disease by affecting cell-to-cell adhesion, cytokine-mediated signaling pathway, and chronic inflammatory responses to COVID-19 at the severe phase. This study showed that the TCMATCOV platform could evaluate the disturbance effect of different prescriptions on the COVID-19 disease network, and predict potential effectiveness based on the robustness of drug-interfered pneumonia disease networks, so as to provide a reference for further experiments or clinical verification.


Subject(s)
Betacoronavirus , Coronavirus Infections , Drug Therapy , Drugs, Chinese Herbal , Humans , Medicine, Chinese Traditional , Pandemics , Pneumonia, Viral , Drug Therapy
9.
Article in Chinese | WPRIM | ID: wpr-827955

ABSTRACT

There is urgent need to discover effective traditional Chinese medicine(TCM) for treating coronavirus disease 2019(COVID-19). The development of a bioinformatic tool is beneficial to predict the efficacy of TCM against COVID-19. Here we deve-loped a prediction platform TCMATCOV to predict the efficacy of the anti-coronavirus pneumonia effect of TCM, based on the interaction network imitating the disease network of COVID-19. This COVID-19 network model was constructed by protein-protein interactions of differentially expressed genes in mouse pneumonia caused by SARS-CoV and cytokines specifically up-regulated by COVID-19. TCMATCOV adopted quantitative evaluation algorithm of disease network disturbance after multi-target drug attack to predict potential drug effects. Based on the TCMATCOV platform, 106 TCM were calculated and predicted. Among them, the TCM with a high disturbance score account for a high proportion of the classic anti-COVID-19 prescriptions used by clinicians, suggesting that TCMATCOV has a good prediction ability to discover the effective TCM. The five flavors of Chinese medicine with a disturbance score greater than 1 are mainly spicy and bitter. The main meridian of these TCM is lung, heart, spleen, liver, and stomach meridian. The TCM related with QI and warm TCM have higher disturbance score. As a prediction tool for anti-COVID-19 TCM prescription, TCMATCOV platform possesses the potential to discovery possible effective TCM against COVID-19.


Subject(s)
Animals , Betacoronavirus , Computational Biology , Coronavirus Infections , Drugs, Chinese Herbal , Humans , Medicine, Chinese Traditional , Mice , Pandemics , Pneumonia, Viral
10.
Article in English | WPRIM | ID: wpr-771441

ABSTRACT

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.

11.
Article in Chinese | WPRIM | ID: wpr-773201

ABSTRACT

The Silk Road and the Maritime Silk Road were the important accesses for the exchanges of herbal medicine between the primary traditional medical systems in the ancient world,which also are the strategic links between the areas with herbal medicine widely used and the most active markets for herbs at present. This article focuses on the foreign medicinal resources introduced to traditional Chinese medicine( TCM) in China. As new resources of Chinese Materia Medica( CMM),the four basic conditions should be required,which are the clear origin,the safety and effectiveness in clinical,the efficacy and properties described with theory of TCM.Medicinal property is the key scientific problem of foreign medicinal resources introduced to TCM. The research strategies include three aspects. Medicinal properties of foreign medicinal resources will be deduced and analyzed across multiple medical systems by solving the difference depending on finding the similarities of traditional medical systems. The medicinal properties-efficacies of foreign medicinal resources will be identified by identifying Xiang and selecting similar CMM. And Xiang-properties-efficacies of foreign medicinal resources will be researched under formulae environment using medicinal properties.


Subject(s)
China , Herbal Medicine , Materia Medica , Medicine, Chinese Traditional
12.
Article in Chinese | WPRIM | ID: wpr-802355

ABSTRACT

The clinical value is the core factor for determining the products of Chinese patent medicines on the market. It is clear that defining the clinical positioning of Chinese patent medicines and maximizing their clinical efficacy and value are of great practical significance for each Chinese patent medicine. Precise clinical positioning not only requires systematic analysis and summarization of existing literature and clinical practice data, but also requires verification and proof from detailed experimental data, thus to provide scientific support for basic research. In this research, a three-dimensional integration strategy of " traditional Chinese medicine (TCM) theory-clinical practice-basic research" was proposed to play a vital role in clinical positioning and evaluation of Chinese patent medicines. Yixinshu capsule was taken as an example to discuss clinical positioning of Chinese patent medicines under the guidance of TCM theory. Based on the interpretation of the evolution of the pathogenesis of coronary heart disease (thoracic obstruction), combined with the core efficacy of the drug composition, the effect of Yixinshu capsule in benefiting Zongqi, calming midnd, improving blood circulation and eliminating blood stasis was identified, which was suitable for treatment for the recurrent episodes of angina pectoris, and emergency of symptoms of chronic heart failure. At the level of TCM theory, the clinical positioning of Yixinshu capsule was further defined, and the key points of in-depth research were proposed to provide reference for the mechanism research and clinical application of Yixinshu capsule. Based on the prescription and its score functions, precise analysis of clinical positioning of large varieties of TCM under the guidance of TCM theory, on the one hand will give full play to the value of TCM original knowledge and guide the basic research of Chinese patent medicines, on the other hand the research results will enrich, benefit and sublimate the TCM theory, and finally provide a critical paradigmatic for the clinical positioning of large varieties of TCM under the guidance of TCM theory.

13.
Article in Chinese | WPRIM | ID: wpr-802023

ABSTRACT

Quality marker(Q-marker) is a new concept and pattern for quality control of traditional Chinese medicine(TCM),which will lead the development direction for quality control of TCM.Among them,how to characterize the overall quality attribute of TCM and its biological effect,is a critical scientific problem in the study of Q-marker.In this paper,integrated pharmacology is utilized to screen out and confirm the Q-marker from the complex system of TCM,so as to solve the critical scientific problem.System biology in vivo is firstly applied to establish the correlation of chemical fingerprints of TCM,their metabolic fingerprints,network targets,biological effects and efficacy of TCM,which is used to preliminary screen out Q-marker of TCM.Following that,a pharmacological method in vitro,including intestinal absorption in vitro coupled with bioactivity assessment,is employed to simultaneously determine the absorbed doses of TCM and evaluate their biological activity.Furthermore,data mining is utilized to establish the exact quantitative mathematic model between Q-marker of TCM and bioactivity.Meanwhile,two representative examples,including Yuanhu Zhitong tablets,Xinsuning capsules,are introduced to identify Q-marker of TCM and establish their quality standards related with bioactivity,which will be beneficial to improve the level of quality control of TCM and ensure the effectiveness and safety of clinical applications.

14.
Article in Chinese | WPRIM | ID: wpr-775396

ABSTRACT

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.


Subject(s)
Data Mining , Drug Prescriptions , Drugs, Chinese Herbal , Pharmacology , Medicine, Chinese Traditional , Meridians
15.
Article in Chinese | WPRIM | ID: wpr-687297

ABSTRACT

Integrative pharmacology (IP) is a discipline that studies the interaction, integration and principle of action of multiple components with the body, emphasizing the integrations of multi-level and multi-link, such as "whole and part", " and ", " process and activity evaluation". After four years of development and practice, the theory and method of IP has received extensive attention and application.In order to better promote the development of IP, this paper systematically reviews the concepts, research contents, research methods and application fields about IP.

16.
Article in Chinese | WPRIM | ID: wpr-687296

ABSTRACT

The ancient dragon Materia Medica, Compendium of Materia Medica and other works recorded that the main effect of ginseng is tonifying qi. It is reported that the main active ingredient of ginseng is ginsenoside. Modern studies have found that ginseng mono saponins are effective for cardiovascular related diseases. This paper preliminary clarified the efficacy of traditional ginseng-nourishing qi and cardiovascular disease through the traditional Chinese medicine (TCM) inheritance auxiliary platform and integration platform of association of pharmacology. With the help of TCM inheritance auxiliary platform-analysis of "Chinese medicine database", Chinese medicine treatment of modern diseases that ginseng rules, so the traditional effect associated with modern medicine and pharmacology; application integration platform enrichment analysis on the target of drug and gene function, metabolic pathway, to further explore the molecular mechanism of ginseng in the treatment of coronary heart disease, aimed at mining the molecular mechanism of ginseng in the treatment of coronary heart disease. Chinese medicine containing ginseng 307 prescriptions, 87 kinds of disease indications, western medicine disease Chinese medicine therapy for ginseng main coronary heart disease; analysis of molecular mechanism of ginseng pharmacology integration platform for the treatment of coronary heart disease. Ginsenosides(Ra₁, Ra₂, Rb₁, Rb₂, Rg₁, Ro) bind these targets, PRKAA1, PRKAA2, NDUFA4, COX5B, UQCRC1, affect chemokines, non-alcoholic fatty liver, gonadotropin, carbon metabolism, glucose metabolism and other pathways to treat coronary heart disease indirectly. The molecular mechanism of Panax ginseng's multi-component, multi-target and synergistic action is preliminarily elucidated in this paper.

17.
Article in Chinese | WPRIM | ID: wpr-687295

ABSTRACT

Based on the literature review and modern application of Paeonia lactiflora in heart diseases, this article would predict the target of drug and disease by intergrative pharmacology platform of traditional Chinese medicine (TCMIP, http://www.tcmip.cn), and then explore the molecular mechanism of P. lactiflora in treatment of heart disease, providing theoretical basis and method for further studies on P. lactiflora. According to the ancient books, P. lactiflora with functions of "removing the vascular obstruction, removing the lumps, relieving pain, diuretic, nutrient qi" and other effects, have been used for many times to treat heart disease. Some prescriptions are also favored by the modern physicians nowadays. With the development of science, the chemical components that play a role in heart disease and the interrelation between these components and the body become the research hotspot. In order to further reveal the pharmacological substance base and molecular mechanism of P. lactiflora for the treatment of such diseases, TCM-IP was used to obtain multiple molecular targets and signaling pathways in treatment of heart disease. ATP1A1, a common target of drug and disease, was related to energy, and HDAC2 mainly regulated cardiomyocyte hypertrophy gene and cardiomyocyte expression. Other main drug targets such as GCK, CHUK and PRKAA2 indirectly regulated heart disease through many pathways; multiple disease-associated signaling pathways interfered with various heart diseases including coronary heart disease, myocardial ischemia and myocardial hypertrophy through influencing energy metabolism, enzyme activity and gene expression. In conclusion, P. lactiflora plays a role in protecting heart function by regulating the gene expression of cardiomyocytes directly. Meanwhile, it can indirectly intervene in other pathways of heart function, and thus participate in the treatment of heart disease. In this paper, the molecular mechanism of P. lactiflora for treatment of heart disease was in computer prediction analysis level, and the specific mechanism of action still needs further experimental verification.

18.
Article in Chinese | WPRIM | ID: wpr-687292

ABSTRACT

By using the traditional Chinese medicine inheritance support system (TCMISS) in this study, the prescription rules of Baizhi formulae were analyzed and the core herbal pair "Baizhi-Chuanxiong" was obtained. Through the systemic analysis of prescription rules of "Baizhi-Chuanxiong" and combined with the pharmacology thinking of "Baizhi-Chuanxiong" in treating headache, the paper was aimed to find out the combination rules containing Baizhi andits molecular mechanisms for treating headaches, and provide the theory basis for further research and reference of Baizhi and its formula. Totally 3 887 prescriptions were included in this study, involving 2 534 Chinese herbs. With a support degree of 20% in analysis, 16 most commonly used drug combinations were screened, which were mainly used to treat 15 types of diseases. Baizhi was often used to treat headache, and the core combination "Baizhi-Chuanxiong" was also often used to treat, consistent with ancient record. A chemical database was established; then the headache and migraine disease targets were retrieved and added in the database to build up the "compounds-targets-pathways "core network of "Baizhi-Chuanxiong" by the internet-based computation platform for IP of TCM (TCM-IP). TCM-IP was then applied to study the molecular mechanism of "Baizhi-Chuanxiong" treatment of headache. The results suggested that37 chemical compounds in the core combination "Baizhi-Chuanxiong" were closely related with headache treatment by adjusting serotonin levels or applying to inflammation-related targets and energy metabolism pathways such as purine metabolism, pyruvate metabolism, fatty acid degradation, carbon metabolism and gluconeogenesis.

19.
Article in Chinese | WPRIM | ID: wpr-687290

ABSTRACT

The traditional Chinese medicine prescription Yueju Wan has the function of regulating qi-flowing for activating stagnancy and resolving food stagnation, which is now used for the treatment of depression and gastrointestinal related diseases. In this study, an integrative pharmacological method was adopted to predict the targets and pathways of Yueju Wan and explore its molecular mechanism for depression and gastrointestinal dysfunction with the same treatment. First, disease targets were collected from Human Phenotype Ontology database, 201 targets related to depression and 474 targets related to gastrointestinal dysfunction, including 95 common targets of these two. Then, the integrative pharmacology platform of traditional Chinese medicine (TCMIP) was used to predict and analyze the drug targets, GO function, KEGG pathway, core targets network of Yueju Wan and heterogeneous network of TCM-chemical components-key drug targets-pathway. According to the integrative analysis, it is found that ATP1A1, KRAS, and PRKAA1 were key targets, and neuron apoptotic process, neurotrophin signaling pathway, serotonergic synapse and regulation of nitric-oxide synthase activity were key pathways which played important roles in molecular mechanism of Yueju Wan for depression and gastrointestinal dysfunction. In conclusion, speculated serotonergic synapse and regulation of nitric-oxide synthase activity maybe the common process in depression and gastrointestinal dysfunction. This paper provided an overall understanding on Yueju Wan based on TCMIP, helping to elucidate the mechanism of the same treatment for different diseases, depression and gastrointestinal dysfunction.

20.
Article in Chinese | WPRIM | ID: wpr-350168

ABSTRACT

Among the literatures of the prevention and treatment of community-acquired pneumonia (CAP) published in recent years, there were 16 kinds of classic prescription, including 52 RCTs about Maxingshigan Decoction, 21Chinese patent medicines. There are eight kinds of indications for the drug specification, among which the literatures of Tan Reqing injection accounted for the most about 136 RCTs; There were literatures about non-drug treatment, including: acupuncture, Chinese medicine paste, enema, Chinese medicine ionization, Chinese medicine fumigation, bamboo cans and so on. In this study, author has analysed the classic prescription, Chinese patent medicine and non-drug therapy referring to advantages and disadvantages of CAP, which could be used to treat virus infection instead of antibiotic therapy. Based on antibiotic therapy, Chinese medicine treatment could increase synergistic interaction while decrease the antibiotic side-effects. In addition, Chinese medicine could perform synergistic interaction in CAP every period, which resulted from classified analysis of basic studies about Chinese medicine treatment in CPA. This study is aimed to provides an important basis for clarifying the direction of scientific research.

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