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Objective:To explore the medication law and core Traditional Chinese Medicine (TCM) compounds in the treatment of blood stasis vascular dementia (VD) based on data mining.Methods:The literature about TCM treatment for blood stasis VD was retrieved from the databases of CNKI, Wanfang, VIP, and CBM from January 2000 to November 2021. Microsoft Office Excel 2019, SPSS Modeler 18.0, SPSS Statistics 25.0, R X64 4.1.2, and Origin 2021 were used to perform medication frequency analysis, frequency analysis of four properties and five tastes of TCM, association rules, clustering analysis, factor analysis and data visualization.Results:A total of 196 articles were included, with 196 TCM prescriptions, involving 200 kinds of Chinese materia medica. High-frequency drugs were for Acori Tatarinowii Rhizoma, Chuanxiong Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Polygalae Radix, Carthami Flos. The medicinal properties were mainly warm, mild and cold, the tastes were mainly sweet, bitter and pungent, and the meridians were mainly liver meridian, spleen meridian and heart meridian. A total of 19 association rules were obtained from the analysis of association rules for 2 kinds of Chinese materia medica, and the rules of the representative were Acori Tatarinowii Rhizoma- Polygalae Radix, Chuanxiong Rhizoma- Carthami Flos, Acori Tatarinowii Rhizoma- Curcumae Radix. A total of 4 categories were extracted through clustering analysis. Factor analysis extracted a total of 8 common factors. Conclusion:The core pathogenesis of blood stasis VD is blood stasis blocking brain collaterals, and there were also pathological factors such as qi deficiency, yin deficiency, phlegm turbidity and so on. The basic treatment is promoting blood circulation and removing stasis, and different methods of promoting blood circulation and drugs are selected. The methods of strengthening spleen and reducing phlegm, nourishing yin and blood, inducing resuscitation, tonifying the kidney and spleen, regulating qi, promoting collaterals and so on can also be used based on syndromes and symptoms of the patients.
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ObjectiveTo explore medication regularity of traditional Chinese medicine （TCM） in the treatment of non-small cell lung cancer （NSCLC） and thereby to lay a theoretical basis for clinical medication and drug development. MethodArticles on clinical treatment of intermediate and advanced NSCLC with TCM in the past 40 years were retrieved from CNKI， which were taken the data source. Then the articles were screened to establish a formula database， followed by frequency statistics， association rule analysis， cluster analysis， factor analysis， and complex network construction. ResultA total of 307 eligible articles were screened out， involving 483 formulas. The common syndrome of intermediate and advanced NSCLC was the deficiency of both Qi and Yin， with the common syndrome elements of Qi deficiency， Yin deficiency， phlegm， blood stasis， pathogenic heat （fire）， toxin， and pathogenic dampness. The frequently used medicinals mainly had the functions of tonifying deficiency， clearing heat， resolving phlegm and relieving cough and dyspnea， promoting urination and draining dampness， and activating blood and resolving stasis. The high-frequency medicinals were Astragali Radix， Glycyrrhizae Radix et Rhizome， Ophiopogonis Radix， Fritillariae Thunbergii Bulbus， and Poria， which were mainly cold， bitter， sweet， and pungent， with tropism at lung， spleen， and stomach. The association rule analysis yielded 17 rules with strong association. Ten common factors were extracted from the factor analysis， and cluster analysis classified the medicinals into 5 groups. Complex network analysis suggested that the core formula was modified Liujunzi Tang and Yiqi Yangyin Jiedu prescription. ConclusionThe treatment principle for intermediate and advanced NSCLC is replenishing Qi and nourishing Yin， invigorating spleen and resolving phlegm， clearing heat and detoxifying， promoting blood circulation and removing blood stasis. The core combinations new prescription discovered by data mining are of important guiding significance， but they should be further verified in clinical practice and by experiments based on the theory of TCM.
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Wuzhuyu Tang （WZYT）， a classical traditional Chinese medicine （TCM） formula， was first recorded in Treatise on Cold Damage by the prestigious physician ZHANG Zhong-jing in the Eastern Han Dynasty， and included in Catalogue of Ancient Classical Formulas （First Batch）. WZYT is composed of four medcinals： Euodiae Fructus， Ginseng Radix et Rhizoma， Zingiberis Rhizoma Recens， and Jujubae Fructus， which has the effects of warming the middle and tonifying deficiency， dissipating cold and descending adverse qi. Based on data mining， this paper analyzes the modern clinical research literature on WZYT， which is expected to lay a basis for clarifying the "disease-symptom-prescription-medicinal" relationship of WZYT， as well as its modern clinical indications and clinical dosage. With the search term "Wuzhuyu Tang"， 253 complete medical records were retrieved from CNKI， VIP， and Wanfang （2000-2020）， involving 292 TCM prescriptions. Microsoft Excel 2019 was employed to establish the medical record database and the main clinical indications were statistically analyzed. Moreover， the syndromes， incidence law， and medication regularity were summed up. The result indicates WZYT has a wide range of modern clinical applications， mainly including the treatment of headache， dizziness， vomiting， diarrhea， dysmenorrhea， morning sickness， and other diseases， and the "deficiency， cold， and reversal" symptoms， mainly manifested as nausea and vomiting， headache， fatigue and lack of strength， reversal cold of hands and feet， poor appetite， gloomy complexion， dizziness， aversion to wind and cold， abdominal pain， sloppy diarrhea， abdominal distension， poor sleep， pale tongue， white coating， and deep thread wiry pulse. These diseases and symptoms mainly occur in women and middle-aged people. In most cases， medicinals are added or subtracted according to the symptoms， and the common doses of Euodiae Fructus， Zingiberis Rhizoma Recens， Codonopsis Radix or Ginseng Radix et Rhizoma， and Jujubae Fructus in the original prescription are 6-15 g， 10-15 g， 10-15 g or 9-12 g， and 4-6， respectively. The added medicinals are in the descending order of Pinelliae Rhizoma， Atractylodis Macrocephalae Rhizoma， Poria， Glycyrrhize Radix et Rhizoma， and Chuanxiong Rhizoma according to the frequency.
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ObjectiveTo clarify the medication regularity of WU Zhao-dong，a famous chief physician in traditional Chinese medicine （TCM） of Jiangxi province， and investigate the potential mechanism of potential new prescriptions against chronic renal failure （CRF）. MethodThe outpatient prescriptions of WU Zhao-dong from July 2019 to July 2021 were collected. Data mining was carried out by using the Traditional Chinese Medicine Inheritance Auxiliary Platform （V 2.5） to analyze the medication frequency and drug association and obtain potential new prescriptions. The interaction between drug targets in new prescriptions was analyzed by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP），STRING，and Kyoto Encyclopedia of Genes and Genomes（KEGG）， followed by verification by molecular docking and experiments. ResultA total of 200 prescriptions were screened out， with 217 Chinese medicinal drugs involved， and eight new potential prescriptions were derived. To be specific， Prescription 1： Armeniacae Semen Amarum-Astragali Radix-Platycodonis Radix-Angelicae Sinensis Radix-Smilacis Glabrae Rhizoma-fried Atractylodis Macrocephalae Rhizoma， Prescription 2： Saposhnikoviae Radix-Schizonepetae Herba-Kochiae Fructus-Asteris Radix et Rhizoma-Menthae Haplocalycis Herba，Prescription 3：Armeniacae Semen Amarum-Asteris Radix et Rhizoma-Platycodonis Radix-Eriobotryae Folium-prepared Ephedrae Herba， Prescription 4：Perillae Caulis-Codonopsis Radix-Coptidis Rhizoma-Pseudostellariae Radix， Prescription 5：Ecliptae Herba-Astragali Radix Praeparata Cum Melle-Dryopteridis Crassirhizomatis Rhizoma-Rosae Laevigatae Fructus-Coicis Semen-Ligustri Lucidi Fructus， Prescription 6： Lycopi Herba-Lonice Raejaponicae Caulis-Trachelospermi Caulis et Folium-Alismatis Rhizoma， Prescription 7：Scutellariae Radix-Hirudo-Paeoniae Radix Rubra-Eriobotryae Folium-Glehniae Radix， Prescription 8：Glycyrrhizae Radix et Rhizoma-Scrophulariae Radix-Chrysanthemi Indici Flos-Smilacis Glabrae Rhizoma- Serissae Herba. In Prescription 1，18 main chemical components were screened out. Eighty targets of active components of Prescription 1 were predicted， and 37 potential targets for the treatment of CRF were obtained， including interleukin （IL）-6， vascular endothelial growth factor （VEGF）， cysteinyl aspartate-specific protease-3 （Caspase-3）， nitric oxide synthase 3 （NOS3）， and hypoxia-inducible factor-1 （HIF-1）. The KEGG pathways involved in the targets of Chinese medicinal drugs and disease mainly included the signaling pathways of lipid and atherosclerosis，NF-κB， Toll-like receptors， and HIF-1. Prescription 1 significantly decreased serum creatinine and urea nitrogen， and increased the content of NO and NOS3 in renal tissues of CRF rats. ConclusionPrescription 1 shows the multi-component and multi-target characteristics of action，and its mechanism may be related to its inhibition of renal fibrosis，anti-inflammation，improvement of intestinal microecology，and improvement of renal hypoxia and ischemia.
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Objective:To explore the therapeutic principles and medication regularity of Chinese medicine for the treatment of urolithiasis based on data mining and literature research. Method:Chinese National Knowledge Infrastructure（CNKI） was searched for the clinical research papers on Chinese medicinal compounds for the treatment of urolithiasis published from database inception to November 10，2020. Therapeutic methods and Chinese medicinal compounds were extracted from the included papers，and the frequencies of therapeutic methods and the drugs in the Chinese medicinal compounds，as well as the efficacies were analyzed. The medication regularity of high-frequency drugs was explored by association rule analysis and cluster analysis. Result:A total of 247 papers and 247 Chinese medicinal compounds were included，and 209 drugs were involved. Those with high frequencies included Lysimachiae Herba，Galli Gigerii Endothelium Corneum，Lygodii Spora，Achyranthis Bidentatae Radix，Pyrrosiae Folium，Plantaginis Semen，and Talcum. The drugs with the highest frequency were effective in promoting urination，draining dampness，and activating blood to resolve stasis，followed by those in tonifying deficiency，regulating Qi，and purgation. Galli Gigerii Endothelium Corneum，Clematidis Radix et Rhizoma，and Succinum were used as specialized drugs targeting the syndrome. Association rule analysis showed that Lysimachiae Herba，Galli Gigerii Endothelium Corneum，and Lygodii Spora were commonly used in pairwise or ternary combination，followed by the pairwise combinations of Lysimachiae Herba with Achyranthis Bidentatae Radix，Pyrrosiae Folium，and Plantaginis Semen. High-frequency drugs were clustered into four categories by clustering analysis. Thirty-one therapeutic principles were employed in the 247 Chinese medicinal compounds. The ones with the highest frequency were clearing heat and eliminating dampness，resolving stasis and promoting urination，and tonifying kidney and replenishing qi. Conclusion:For the treatment of urolithiasis，promoting urination and draining dampness is the core therapeutic principle，and activating blood to resolve stasis is the important therapeutic principle，while tonifying is the potential therapeutic principle. The medication for urolithiasis is featured by specialized drugs targeting the syndrome.
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The tumor prescriptions contained in Dictionary of Tumor Formulas, Compendium of Good Tumor Formulas, Chinese Pharmacopoeia, Ministry of Health Drug Standards for Chinese Medicine Formulas and National Compilation of Standards for Proprietary Chinese Medicines were selected and organized to construct a database for tumor prescriptions, and the data mining techniques were applied to investigate the prescription regularity of colorectal cancer prescriptions. The formula data were extracted after screening in strict accordance with the inclusion and exclusion criteria, and were then analyzed with Microsoft Excel 2010 for frequency statistics, Apriori block provided by SPSS Clementine 12.0 software for correlation rule analysis, and arules and arulesViz packages in R 4.0.2 software for correlation rule visualization. In addition, SPSS 18.0 software was used for cluster analysis and factor analysis, in which cluster analysis was performed by Ochiai algorithm with bicategorical variables in systematic clustering method and factor analysis was performed mainly with principal component analysis. A total of 285 prescriptions were included in the statistical analysis, and the frequency statistics showed that 43 herbs had been used more than 16 times. The association rules analysis showed that 26 high-frequency me-dicine pair rules were obtained, and the association rules for those dispelling evil spirits, strengthening the body, resolving stasis, dispelling dampness, etc. were visualized. In the cluster analysis, we generated a dendrogram from which 7 groups of traditional Chinese medicines with homogeneity were extracted. 10 common factors were obtained in the factor analysis. The types of herbal medicines involved in the colorectal cancer prescription included anti-cancer antidotes, strengthening and tonifying medicines, blood-regulating medicines, and expectorant medicines, corresponding to the treatment for eliminating evil spirits, strengthening, resolving stasis, and expectorating dampness. The prescriptions for anti-cancer detoxification were normally based on the pairs composed of Scutellaria barbata-Hedyotis diffusa and Sophora flavescens, Sargentodoxa cuneata, S. barbata, often combined with stasis relieving drug and dampness eliminating drug, reflecting the characteristics of treatment for both toxicity and stasis, dampness and toxicity simultaneously. The prescriptions for strengthening the righteousness and tonifying the deficiency were composed of Astragalus membranaceus and Atractylodes macrocephala mainly, exerting the effect of benefiting Qi, strengthening the spleen and drying dampness, tonifying kidney and essence, tonifying blood and invigorating blood. Meanwhile, anti-cancer detoxification medicines shall be reduced as much as possible. The compatibility of the medicines for the intestinal tract reflected the principle of using the right medicine for the right condition and eliminating evil spirits or strengthening the body, as appropriate.
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Humans , Colorectal Neoplasms/drug therapy , Data Mining , Drug Prescriptions , Drugs, Chinese Herbal/therapeutic use , Medicine, Chinese TraditionalABSTRACT
To explore prescription medication regularity in the treatment of Alzheimer's disease with traditional Chinese medicine(TCM). With Alzheimer's disease or senile dementia as the subject, collecting and sorting out the journal papers in CNKI were collected as the data source to establish the literature research database of Alzheimer's disease prescriptions, and then the association rule analysis, factor analysis and systematic cluster analysis on the included TCM were conducted. Among the 113 prescriptions included in the standard, the single herb Acori Tatarinowii Rhizoma was the most common. The herbs were mainly warm and flat among four pro-perties, mainly sweet, bitter and spicy among five flavors. The drugs were mainly distributed in five internal organs, and the most commonly used drugs were deficiency tonifying drugs as well as blood activating and stasis removing drugs. In the association rule analysis, it was found that there were 6 drug pairs with the highest association strength. Eight common factors were extracted from the factor analysis, and they were classified into 6 categories in the systematic cluster analysis. The results have shown that the overall principles in treating Alzheimer's disease with modern Chinese medicine are tonifying deficiency, invigorating circulation, activating blood and dispelling phlegm.
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Humans , Alzheimer Disease/drug therapy , Data Mining , Drugs, Chinese Herbal/therapeutic use , Medicine, Chinese Traditional , PrescriptionsABSTRACT
The coronavirus disease 2019(COVID-19) is developing rapidly and posing great threat to public health. There is no effective intervention for the severe patients, and their prognosis is poor. It is worth noting that in the fight against COVID-19, China has always put equal emphasis on both Chinese and Western medicine. Traditional Chinese medicine has played an important role in the whole process. It is of great significance to discuss the rules and characteristics of the prescription of traditional Chinese medicine in the treatment of COVID-19. In this study, information was collected from 444 severe COVID-19 patients who were admitted to a hospital designated to treat patients with severe COVID-19 in Wuhan before March 20, 2020. We collected traditional Chinese medicine prescriptions for patients with severe COVID-19, referred to Chinese Pharmacopoeia to standardize the names of traditional Chinese medicine, and extract the property, flavor and channel tropism of traditional Chinese medicines to analyze the rules of the prescriptions. IBM SPSS Modeler 18.0 software was used to conduct correlation analysis of traditional Chinese medicine. Effective traditional Chinese medicines against COVID-19 was identified by the TCMATCOV platform. In the end, 1 532 effective prescriptions were included. Among them, the high-frequency drugs are Poria, Astragali Radix, Pogostemonis Herba, Armeniacae Semen Amarum, Atractylodis Macrocephalae Rhizoma, Pinelliae Rhizoma, Glycyrrhizae Radix et Rhizoma, Magnoliae Officinalis Cortex, Ephedrae Herba, Cinna-momi Ramulus. Most of the drugs have the following functions: resolving dampness, replenishing deficiency, resolving phlegm, cough, and asthma. The core combinations are Pogostemonis Herba-Poria, Astragali Radix-Pogostemonis Herba-Poria, Amomi Fructus-Poria, Amomi Fructus-Pogostemonis Herba, Amomi Fructus-Astragali Radix. The majority of the medicines are with cold and warm properties, and the proportions are 41.03% and 38.46%, respectively. The medicinal flavors are mainly concentrated in sweet and bitter, and the proportions are 34.71% and 30.58%, respectively. The meridian of the drug is more into the lung, stomach and spleen, with lung accounting for 22.87%. From the analysis of high-frequency drugs to the core combinations, one can see that the main treatment principle for severe COVID-19 is to remove internal and external dampness, protect the spleen and stomach, remove evil energy, and support righteousness. TCMATCOV platform was used to calculate the network disturbances of the high-frequency drugs. It was found that the traditional Chinese medicine with a high disturbance score accounted for a high proportion of the classic anti-COVID-19 prescriptions used by clinicians. Among them, the drugs with top scores are Ephedrae Herba, Citri Reticulatae Pericarpium, Eupatorii Herba, Platycodonis Radix, Cinnamomi Ramulus, Astragali Radix, Magnoliae Officinalis Cortex, Atractylodis Macrocephalae Rhizoma, Pogostemonis Herba, Scutellariae Radix. After a further exploration of the action targets, it was showed that disease-specific factor TNF was the target of the above ten drugs, and traditional Chinese medicine can exert anti-inflammatory and immune-modulating effects.
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Humans , Betacoronavirus , China , Coronavirus Infections , Drug Therapy , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Pandemics , Pneumonia, Viral , Drug TherapyABSTRACT
Ulcerative colitis (UC) is a chronic nonspecific inflammation mainly involving rectum and colon mucosa, which seriously affects the health and quality of life of patients, and is listed as one of modern refractory diseases by WHO. Professor XU Jing-fan, a great master of traditional Chinese medicine, has accumulated rich experiences in the treatment of UC. The study collected Professor XU's 77 prescriptions of treating UC, analyzed the frequency of traditional Chinese medicines and there categories, and investigated the medication regularity by the system clustering method. The findings showed that the most frequently used drugs were clearing-heat herbs, which were followed by hemostatic herbs, excreting-dampness herbs, improving-digestion herbs and tonifying-Qi herbs. At the same time, the commonly combined drugs were excavated. Finally, in order to analyze potential molecular targets of the frequently used herbs, GO enrichment analysis and KEGG signal pathway enrichment analysis were performed with bioinformatics analysis tool for molecular mechanism of traditional Chinese medicine (BATMAN-TCM). The results indicated that Chinese herbal compounds may treat UC by activating PPAR-γ pathway and regulating intestinal inflammation. The exact mechanisms shall be verified through subsequent molecular biological experiments.
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Objective To investigate the regularity of TCM diagnoses and treatment of the endoscope for the early phrase of colorectal cancer. Methods A total of 114 patients diagnosed with colorectal cancer were treated with endoscopy and herbal nursingfrom January 2013 to March 2016. The syndromes, herbs and channel tropism were analyzed to explore the regularity of TCM diagnoses and treatment of the endoscope for the early phrase of colorectal cancer. Results The common syndromes were spleen and kidney deficiency, liver and kidney Yin deficiency, Qi deficiency and blood stasis. There were 18 categories Chinese medicine. The most commonly medicine showed the function of promoting blood circulation, removing blood stasis, regulating Qi. The drugs mostly belonged to the liver, spleen, stomach, kidney meridian. Conclusions Most patients were spleen deficiency and kidney deficiency, and the disease's nature focusd on Qi and bood, with the pathogenesis characteristics of deficiency-excess complication. So the basic treatment mainly tonify the spleen and kidney, regulate Qi, promote blood circulation, and clearing heat and dampness.
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Objective: To research the medication regularity of Chinese medicine on treating urinary tract infection based on the Ancient and Modern Consilia Cloud Platform to provide references for clinical treatment of urinary tract infection.Methods: The Ancient and Modern Consilia Cloud Platform was used to screen the consilia of Traditional Chinese Medicine for the treatment of urinary tract infection, the materials mainly come from books, journal articles, famous medical studios in the modern Chinese medicine case database. Screening, cleaning, standardizing consilia, and the standardized consilia database was set up. Statistical analysis, cluster analysis and complex networks were used to analysed the core prescription, the herb medicine frequency, the herb medicine four gas, the herb medicine five flavors, the herb medicine channel tropism and other regularity of Chinese medicine treatment of urinary tract infection, and displayed visually. Results: A total of 501 prescriptions were included, a total of 245 herb medicine were involved, and liquorice, poria, dianthus superbus and rehmannia were used more frequently. The tastes are cold, neutral, sweet taste, and bitter taste. Their channel tropisms mainly belong to lung and liver. The core prescriptions are based on Bazhengsan and Zhibaidihuangwan. Conclusion: Heat, dampness and diuretic herbs are used in the treatment of urinary tract infections in Chinese medicine, and nourishing yin and kidney, and relieving the stagnation of liver at the same time.Asthenic and sthenia syndrome, appearance and essence are also taken into account.
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Objective To analyze the medication regularity of TCM famous doctors for diabetes by using improved Apriori algorithm to obtain more efficient data mining methods. Methods This article put forward Apriori vertical data storage, and improved ADPM obtained by difference set method was used to conduct data mining to find out the medication regularity in Guo Jia Ji Ming Lao Zhong Yi Tang Niao Bing Yan An Liang Fang. Results After screening, 402 prescriptions were included, involving 24 kinds of high-frequency medicine, 15 high-frequency medical combinations, and 18 highly-dependent medical combinations, which were mainly tonifying deficiency medicine, clearing heat medicine, blood-activating and stasis-resolving medicine, and damp-draining diuretic medicine. Conclusion ADPM algorithm can be applied in the analysis on medication regularity and find out high-frequency medicine, medical combinations and medical dependent relation, with high efficiency.
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Objective To analyze the TCM principles of herbal prescriptions given by professor Zhang Shishun for esophageal cancer by using traditional Chinese medicine inheritance support system (V2.0). Methods The herbal prescriptions from professor Zhang were collected and used for esophageal cancer, and then were recorded into the traditional Chinese medicine inheritance support system. The date mining methods were used such as principle analysis and revised mutual information. Results A total of 166 prescriptions for esophageal cancer were collected, which involved 316 Chinese medicines. The medicines with high frequency were Ganoderma, Caulis Marsdeniae Tenacissimae, Fructus Trichosanthis, Herba Rabdosiae Rubescentis, and Agaricus Blazei Murrill. The combinations of medicines included Ganoderma and Ramulus Juglandis, Radix et Rhizoma Sophorae Tonkinensis and Caulis Marsdeniae Tenacissimae, and Herba Rabdosiae Rubescentis and Caulis Marsdeniae Tenacissimae. The prescription rules of drug combination mode were obtained. Conclusions The Professor Zhang advocated the theory of determination of treatment based on pathogenesis through differentiation of symptoms and signs, patho-examination, patho-location. He also stressed on the therapy of relieving both primary and secondary symptoms. The Ganoderma, Ramulus Juglandis and Agaricus Blazei Murril were used to strengthen the body resistance. Radix et Rhizoma Sophorae Tonkinensis, Caulis Marsdeniae Tenacissimae and Herba Rabdosiae Rubescentis were used to eliminate pathogenesis. The Endothelium Corneum Gigeriae Galli, Fructus Crataegi Praeparata, Massa Medicata Fermentata Praeparata were used to protect stomach-qi. The Fructus Trichosanthis, Bulbus Allii Macrostemonis and Folium Ginkgo wereused to dilate the esophagus. The Fructus Trichosanthis was often combined with Radix Scutellariae to serve all medicines on the esophagus.
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This study aimed at analyzing the medication regularity based on differentiation in traditional Chinese medicine (TCM) for losing weight using text mining technique.All the references over losing weight were retrieved in CNKI,Wangfang Database,VIP Database and Pubmed.The drugs from the references were classified in accordance with drug property,drug flavor,channel tropism and drug efficacy.Frequency and constituent ratio of a single drug in TCM prescriptions for losing weight were put into analysis using chi square test and factor analysis to find out the medication regularity.It was found that the properties of TCM drugs in the prescriptions contained both cold and warm,while the flavors of the drugs involved pungent,sweet and light.The channel tropism of the drugs mainly belonged to spleen meridian,liver meridian,stomach meridian and lung meridian.They were mostly tonic,relieving,blood-activating,qi regulating,inhibiting-damp and antipyretic drugs.Through factor analysis we found that the common formula compatibilities were concluded as:cassia seed,lotus leaf,hawthorn,salvia miltiorrhiza,polygonum cuspidatum and radix polygonum multiflorum;capillary artemisia,epimedium herb,stephania tetrandra and ligusticum wallichii;dried tangerine peel,pinellia ternata and poria cocos;plantain seed,pericarpium arecae and selfheal;paeonia lactiflora,angelica sinensis,scutellaria baicalensis and ligusticum wallichii;poria cocos,cassia twig,atractylodes and glycyrrhiza;immature bitter orange and bark of magnolia;radix bupleuri,lycium chinensis and jujube;Chinese yam and coix seed;and astragalus,pueraria lobata and polygonatum.In conclusion,formula compatibility mainly combined syndrome differentiation with disease differentiation for the treatment of obesity in clinic,using the drugs belonging to liver meridian,spleen meridian,stomach meridian and lung meridian with the flavors of sweet,bitterness or pungent and the nature of both warm and cold.
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Objective Applyingthe traditional Chinese medical knowledge service and sharing system, to explore the medication rules of ankylosing spondylitis in the medical records.Methods The ankylosing spondylitis medical records in the traditional chinese medical knowledge service and sharing system has been searched and 149 prescriptions were identified. The medication frequency, association rules, herbal combination and the cluster analyses were explored.Results Among the 149 prescriptions with 210 drugs, the use of high frequency drugs wereGouji, Baishao, Danggui, Duzhong, Weilingxian, and other medication whose frequency was more than 20 times were good at tonifying liver and kidney, activating blood circulation, clearing heat and promoting diuresis, dispelling cold and removing dampness. The high frequency of drug combinations included Sangjisheng and Gouji, Duzhong and Gouji, Baishao and Gouji, Guizhi and Baishao, Gancao and Danggui.Conclusions The treatment of ankylosing spondylitis with Chinese medicine is mainly based on tonifying liver and kidney, supplemented with drugs for warming Kidney Yang, dispelling cold and dehumidification, promoting blood circulation and removing blood stasis, clearing heat and promoting diuresis, dispelling wind and cold.
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Objective To discuss the relation and differences among spleen-deficiency syndromes, stomach-deficiency syndromes and spleen-stomach deficiency syndromes.Methods Terms about spleen-stomach deficiency syndromes in the book ofLin Zheng Zhi Nan Yi Anwere screened. Syndrome names about “spleen deficiency”, “stomach deficiency”, “stomach-yang deficiency”, “tu deficiency”, “spleen-stomach deficiency”, “middle-jiao deficiency”, “yang-ming deficiency”, and “tai-yin deficiency” should be included in this study. And then medication and compatibility of medicines of spleen-deficiency syndromes, stomach-deficiency syndromes and spleen-stomach deficiency syndromes were determined according to the main efficacy of the medication and compatibility of medicines. Relevant data were standardized and then database was built. Apriori algorithm in SPSS Clementine12.0 was used to conduct data mining.Results Totally 421 relevant cases were collected in this study, involving 525 prescriptions (92 spleen-deficiency syndromes, 276 stomach-deficiency syndromes and 157 spleen-stomach deficiency syndromes). 11 medication association rules about spleen-deficiency syndromes, 38 about stomach-deficiency syndromes, and 28 about spleen-stomach deficiency syndromes were found based on data mining. ConclusionMost prescriptions for spleen-stomach deficiency syndromes are “warm dryness, cool and moister, sweet and warm to tonify the midde jiao”, which embody Ye’s medication features that emphasizes treating spleen and stomach separately, the differences of lifting spleen and dropping stomach, and in nourishing yin and tonifying yang.
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Objective To discuss the medication principles of diagnosis and treatment for insomnia from spleen and stomach; To provide references for clinical treatment for insomnia.Methods Relevant articles about diagnosis and treatment forinsomnia from spleen and stomach were searched in CNKI and Wanfang Data through computers, the data were input into Traditional Chinese Medicine Inheritance Supporting System (V2.5) and then association rules, apriori arithmetic, improved mutual information method, and complex system entropy cluster methods were used to analyze the medication principles of diagnosis and treatment for insomnia from spleen and stomach. Results Through screening, totally 87 prescriptions were included, involving 165 herbal medicine. Data mining results showed that there were 30 high-frequency herbal medicine, 19 high-frequency medicinal combinations, and 4 medicinal association rules. Evolution led to 13 medicinal combinations of 2 herbal medicine and 3 new prescriptions. Conclusion The main method of diagnosis and treatment for insomnia from the spleen and stomach is regulating qi activity of spleen and stomach. The features of common medicine are invigorating spleen to reduce phlegm, clearing stomach and calming the adverse-rising energy, and tonifying qi and soothing nerves, which can offer references for clinical treatment for insomnia.
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Objective To study the medication regularity of Chinese herbal medicines based on hyperuricemia patents. Methods Access database was established to summarzie the patents regarding hyperuricemia disclosured by State Intellectual Property Office (SIPO) of the People's Republic of China in 1986-2015. Statistically analysis was performed by Chinese Medicine Inheritance Support System (TCMISS). Results The literatures of Chinese herbal medicines treating hyperuricemia were 1223, and 138 papers were included by excluding and screening, and contain 282 kinds of traditional Chinese medicine. Conclusion By analyzing the frequency, efficacy, flavor, channel tropism, and composition of the herbs used, we recognize that the efficacy of herbs in curing hyperuricemia is mostly clearing heat and promoting diuresis, invigorating the circulation of blood, dispersing stasis, alleviating water retention, and reinforcing deficiency concurrently. Flavors are mostly sweet, bitter, and cold. Channel tropism is mainly to liver, spleen, stomach, lung, and kidney. It provides the medication consideration for clinical treatment of hyperuricemia.
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OBJECTIVE:To investigate the composition and medication regularities of prescriptions for Treatise on Febrile Dis-eases. METHODS:The prescriptions included in Treatise on Febrile Diseases were collected and inputted into TCM inheritance platform system(V2.5)software,and prescription database was established. The medication and the compatibility regularity of pre-scriptions were excavated using the function of software integration. RESULTS & CONCLUSIONS:83 kinds of TCM involved in 112 prescriptions ranked by frequency,among which 24 ingredients were used more than 4 times. Commonly used TCM groups were summarized to evolve 16 key groups and 8 new prescriptions. Four properties of TCM are mainly the property of“Wen and Han”,and five tastes mostly are“Sweet,Bitter,Spicy”. TCM with the property of“Wen and Sweet”taste are more than those with the property of“Wen and Spicy”,and TCM acting on spleen are more than those acting on lung.
ABSTRACT
In this study, formulas containing Salviae Miltiorrhizae Radix et Rhizoma-Carthami Flos in the database of Dictionary of Chinese Medicine Prescription (DCMP) were extracted by using traditional Chinese medicine inheritance support system (TCMISS). The drugs pairs and formula composition rules were analyzed with data mining methods, such as association rules, improved mutual information method and complex system entropy clustering. Totally 39 formulas were included in this study and involved 280 Chinese medicines. The top 5 Chinese medicines most frequently used were Danggui (Angelica sinensis), Chuanxiong (Ligusticum chuanxiong), Xiangfu (Cyperi Rhizoma), Baishao(Radix Paeoniae Alba), Taoren(Prunus persica) and Shengdihuang (Radix Rehmanniae Recens). Six core medicinal pairs were obtained through clustering analysis, namely Danshen (Salviae Miltiorrhizae Radix et Rhizoma)-Xiangfu (Cyperi Rhizoma)-Honghua (Carthami Flos), Danshen (Salviae Miltiorrhizae Radix et Rhizoma)-Baishao (Radix Paeoniae Alba)-Honghua (Carthami Flos), Danshen (Salviae Miltiorrhizae Radix et Rhizoma)-Danggui (A. sinensis)-Xiagnfu (Cyperi Rhizoma)-Honghua (Carthami Flos), Danshen (Salviae Miltiorrhizae Radix et Rhizoma)-Danggui (A. sinensis)-Baishao (Radix Paeoniae Alba)-Honghua (Carthami Flos), Honghua (Carthami Flos)-Danshen (Salviae Miltiorrhizae Radix et Rhizoma)-Baishao (Radix Paeoniae Alba)-Danggui (A. sinensis), Danshen (Salviae Miltiorrhizae Radix et Rhizoma)-Baishao (Radix Paeoniae Alba)-Honghua (Carthami Flos)-Danggui (A. sinensis). The support degree was set at 11 (38.46%), with a confidence coefficient of 80%, and then 38 associated pairs were screened. These results suggested that Salviae Miltiorrhizae Radix et Rhizoma, Carthami Flos is often combined with herbs for activating blood and promoting circulation of qi to treat gynecopathy, stasis blood pain syndrome, stroke and other syndromes.