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Through the exploration of the Xuanfu theory,this article analyzes and summarizes the pathogenesis and treatment of depression,and explores the application of wind medicine in the treatment of depression in traditional Chinese medicine.On the basis of sorting out the connotation of Xuanfu theory and the historical changes of the wind medicine,it is concluded that the main pathogenesis of depression is Xuanfu opening and closing block,obstruction of qi,blood and body fluid,and dysfunction of mental machinery.The basic therapeutic method is to open the Xuanfu to treat depression,and the syndrome differentiation is assisted by regulating qi,resolving turbidity,promoting blood circulation and tonifying deficiency.The efficacy of the wind medicine and the effect of drug components were summarized,and the application of the wind medicine in the treatment of depression was discussed.The efficacy of the wind medicine and the effect of drug components were summarized,and the medication regularity of the wind medicine in the treatment of depression was discussed.Through the Xuanfu theory to understand depression again,and to recognize the wind medicine in the treatment of depression has a unique role,but also can help other drugs,significantly enhance its effect in the treatment of depression.
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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 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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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 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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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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Neoplasias Colorretais , Medicamentos de Ervas Chinesas , Neoplasias Colorretais/tratamento farmacológico , Mineração de Dados , Prescrições de Medicamentos , Medicamentos de Ervas Chinesas/uso terapêutico , Humanos , Medicina Tradicional ChinesaRESUMO
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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Doença de Alzheimer , Medicamentos de Ervas Chinesas , Doença de Alzheimer/tratamento farmacológico , Mineração de Dados , Medicamentos de Ervas Chinesas/uso terapêutico , Humanos , Medicina Tradicional Chinesa , PrescriçõesRESUMO
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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Humanos , Doença de Alzheimer/tratamento farmacológico , Mineração de Dados , Medicamentos de Ervas Chinesas/uso terapêutico , Medicina Tradicional Chinesa , PrescriçõesRESUMO
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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Humanos , Neoplasias Colorretais/tratamento farmacológico , Mineração de Dados , Prescrições de Medicamentos , Medicamentos de Ervas Chinesas/uso terapêutico , Medicina Tradicional ChinesaRESUMO
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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Betacoronavirus , Infecções por Coronavirus , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa , Pandemias , Pneumonia Viral , COVID-19 , China , Infecções por Coronavirus/tratamento farmacológico , Humanos , Pneumonia Viral/tratamento farmacológico , SARS-CoV-2 , Tratamento Farmacológico da COVID-19RESUMO
To analyze the medication regularity of traditional Chinese medicine(TCM) prescriptions for gastropyretic excessiveness diabetes recorded in Chinese Medicine Prescriptions Dictionary. A total of 103 eligible prescriptions were input into the system platform, and the Apriori algorithm was used to analyze their medication regularity. The 103 prescriptions for gastropyretic excessiveness diabetes were selected from the system, and 29 herb medicines were found with frequency of usage more than 8. Totally 33 commonly used herbal pairs(support degree≥10), twenty-three 3-herb core combinations(support degree≥8, confidence values≥0.5), and twenty-one 4-herb core combinations(confidence values≥0.5) were discovered after the medication regularity analysis by Apriori algorithm. The herbal medicine combinations with the highest correlation degree were discovered after the association rule analysis on the 103 prescriptions(support degree≥10, confidence values≥0.5). The four properties, five tastes, channel distributions and frequency of dose of the 103 prescriptions were also obtained after the corresponding analysis. According to the analysis and summary of the above data, the combination of Trichosanthis Radix, Anemarrhenae Rhizoma, Coptidis Rhizoma and Ophiopogonis Radix could reflect the medication regularity of TCM prescriptions for gastropyretic excessiveness diabetes to a certain degree, which is of great significance in guiding value in clinic.
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Mineração de Dados , Diabetes Mellitus/tratamento farmacológico , Prescrições de Medicamentos/estatística & dados numéricos , Medicamentos de Ervas Chinesas/administração & dosagem , Humanos , Medicina Tradicional ChinesaRESUMO
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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Humanos , Betacoronavirus , China , Infecções por Coronavirus , Tratamento Farmacológico , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa , Pandemias , Pneumonia Viral , Tratamento FarmacológicoRESUMO
To analyze the medication regularity of traditional Chinese medicine(TCM) prescriptions for gastropyretic excessiveness diabetes recorded in Chinese Medicine Prescriptions Dictionary. A total of 103 eligible prescriptions were input into the system platform, and the Apriori algorithm was used to analyze their medication regularity. The 103 prescriptions for gastropyretic excessiveness diabetes were selected from the system, and 29 herb medicines were found with frequency of usage more than 8. Totally 33 commonly used herbal pairs(support degree≥10), twenty-three 3-herb core combinations(support degree≥8, confidence values≥0.5), and twenty-one 4-herb core combinations(confidence values≥0.5) were discovered after the medication regularity analysis by Apriori algorithm. The herbal medicine combinations with the highest correlation degree were discovered after the association rule analysis on the 103 prescriptions(support degree≥10, confidence values≥0.5). The four properties, five tastes, channel distributions and frequency of dose of the 103 prescriptions were also obtained after the corresponding analysis. According to the analysis and summary of the above data, the combination of Trichosanthis Radix, Anemarrhenae Rhizoma, Coptidis Rhizoma and Ophiopogonis Radix could reflect the medication regularity of TCM prescriptions for gastropyretic excessiveness diabetes to a certain degree, which is of great significance in guiding value in clinic.
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Humanos , Mineração de Dados , Diabetes Mellitus/tratamento farmacológico , Prescrições de Medicamentos/estatística & dados numéricos , Medicamentos de Ervas Chinesas/administração & dosagem , Medicina Tradicional ChinesaRESUMO
BACKGROUND: Treatment of pulmonary fibrosis by traditional Chinese medicine (TCM) has accumulated important experience. Our interest is in exploring the medication regularity of contemporary Chinese medical specialists treating pulmonary fibrosis. METHODS: Through literature search, medical records from TCM experts who treat pulmonary fibrosis, which were published in Chinese and English medical journals, were selected for this study. As the object of study, a database was established after analysing the records. After data cleaning, the rules of medicine in the treatment of pulmonary fibrosis in medical records of TCM were explored by using data mining technologies such as frequency analysis, association rule analysis, and link analysis. RESULTS: A total of 124 medical records from 60 doctors were selected in this study; 263 types of medicinals were used a total of 5,455 times; the herbs that were used more than 30 times can be grouped into 53 species and were used a total of 3,681 times. Using main medicinals cluster analysis, medicinals were divided into qi-tonifying, yin-tonifying, blood-activating, phlegm-resolving, cough-suppressing, panting-calming, and ten other major medicinal categories. According to the set conditions, a total of 62 drug compatibility rules have been obtained, involving mainly qi-tonifying, yin-tonifying, blood-activating, phlegm-resolving, qi-descending, and panting-calming medicinals, as well as other medicinals used in combination. CONCLUSIONS: The results of data mining are consistent with clinical practice and it is feasible to explore the medical rules applicable to the treatment of pulmonary fibrosis in medical records of TCM by data mining.
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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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Colite Ulcerativa/tratamento farmacológico , Medicamentos de Ervas Chinesas/farmacologia , Prescrições de Medicamentos , Humanos , Medicina Tradicional Chinesa , Qualidade de VidaRESUMO
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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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 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.