Inorganic Elemental Determinations of Marine Traditional Chinese Medicine Meretricis concha from Jiaozhou Bay:The construction of Inorganic Elemental Fingerprint Based on Chemometric Analysis

The goal of this paper is to explore the relationship between the inorganic elemental fingerprint and the geographical origin identification ofMeretricis concha, which is a commonly used marine traditional Chinese medicine （TCM） for the treatment of asthma and scald bums. For that, the inorganic elemental contents ofMeretricis concha from five sampling points in Jiaozhou Bay have been determined by means of inductively coupled plasma optical emission spectrometry, and the comparative investigations based on the contents of 14 inorganic elements （A1, As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, Se and Zn） of the samples from Jiaozhou Bay and the previous reported Rushan Bay were performed. It has been found that the samples from the two bays are ap- proximately classified into two kinds using hierarchical cluster analysis, and a four-factor model based on principle component analysis could explain approximately 75% of the detection data, also linear discriminant analysis can be used to develop a prediction model to distinguish the samples from Jiaozhou Bay and Rushan Bay with accuracy of about 93%. The results of the present investi- gation suggested that the inorganic elemental fingerprint based on the combination of the measured elemental content and chemom- etric analysis is a promising approach for verifying the geographical origin ofMeretricis concha, and this strategy should be valuable for the authenticity discrimination of some marine TCM.

Construction of Inorganic Elemental Fingerprint and Multivariate Statistical Analysis of Marine Traditional Chinese Medicine Meretricis concha from Rushan Bay

Meretricis concha is a kind of marine traditional Chinese medicine(TCM), and has been commonly used for the treatment of asthma and scald burns. In order to investigate the relationship between the inorganic elemental fingerprint and the geographical origin identification of Meretricis concha, the elemental contents of M. concha from five sampling points in Rushan Bay have been determined by means of inductively coupled plasma optical emission spectrometry(ICP-OES). Based on the contents of 14 inorganic elements(Al, As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, Se, and Zn), the inorganic elemental fingerprint which well reflects the elemental characteristics was constructed. All the data from the five sampling points were discriminated with accuracy through hierarchical cluster analysis(HCA) and principle component analysis(PCA), indicating that a four-factor model which could explain approximately 80% of the detection data was established, and the elements Al, As, Cd, Cu, Ni and Pb could be viewed as the characteristic elements. This investigation suggests that the inorganic elemental fingerprint combined with multivariate statistical analysis is a promising method for verifying the geographical origin of M. concha, and this strategy should be valuable for the authenticity discrimination of some marine TCM.

An ultra-robust fingerprinting method for quality assessment of traditional Chinese medicine using multiple reaction monitoring mass spectrometry

Chromatographic fingerprinting has been perceived as an essential tool for assessing quality and chemical equivalence of traditional Chinese medicine.However,this pattern-oriented approach still has some weak points in terms of chemical coverage and robustness.In this work,we proposed a multiple reaction monitoring(MRM)-based fingerprinting method in which approximately 100 constituents were simultaneously detected for quality assessment.The derivative MRM approach was employed to rapidly design MRM transitions independent of chemical standards,based on which the large-scale fingerprinting method was efficiently established.This approach was exemplified on QiShenYiQi Pill(QSYQ),a traditional Chinese medicine-derived drug product,and its robustness was systematically evaluated by four indices:clustering analysis by principal component analysis,similarity analysis by the congruence coefficient,the number of separated peaks,and the peak area proportion of separated peaks.Compared with conventional ultraviolet-based fingerprints,the MRM fingerprints provided not only better discriminatory capacity for the tested normal/abnormal QSYQ samples,but also higher robustness under different chromatographic conditions(i.e.,flow rate,apparent pH,column temperature,and column).The result also showed for such large-scale fingerprints including a large number of peaks,the angle cosine measure after min-max normalization was more suitable for setting a decision criterion than the unnormalized algorithm.This proof-of-concept application gives evidence that combining MRM technique with proper similarity analysis metrices can provide a highly sensitive,robust and comprehensive analytical approach for quality assessment of traditional Chinese medicine.

Quantitative similarity assessment of non-linear chemical fingerprint of traditional Chinese medicine by similarity system theory

The similarities of the non-linear chemical （NLC） fingerprints of Radix Glycyrrhizaes from four producing areas and eight other traditional Chinese medicines （TCMs） were calculated, using a systemic similarity calculation method proposed and three other main calculation ones （Euclidean distance, correlation coefficient and included angle cosine）. All of the correlation coefficient similarities of different TCMs are higher than 0.952, and the included angle cosines are all higher than 0.962. So, both the conelation coefficient and included angle cosine similarities are unable to be used as the criteria for quantitatively evaluating the similarities of NLC fingerprints of TCMs. Although all of the Euclidean distance similarities of Berry Liquorices from four producing areas are less than 73, those of the other eight TCMs are all more than 180. The Euclidean distance cannot reflect the relative magnitudes of the feature differences in the NLC fingerprints very correctly. The systemic similarity method is the best among the four ones. All of the systemic similarities of Berry Liquorices from the four producing areas are higher than 0.962, while those of the other eight TCMs are all lower than 0.805, and the systemic similarity can reflect the differences between samples most faithfully, and can be used as a quantitative one evaluating the similarities of NLC fingerprints of TCMs, by which TCM could be distinguished and evaluated quickly, simply and exactly.

Study on Elemental Fingerprint of Traditional Marine Chinese Medicine Oysters from Jiaozhou Bay,China

In order to investigate the relationship between the trace elements and the characteristics of the oysters, we analyzed the trace elements present in the germplasm of oysters from different producing areas in the Jiaozhou Bay. The element fingerprints were established to reflect the elemental characteristics of the oysters. Concentration patterns of the elements were deciphered by principle component analysis (PCA) and hierarchical cluster analysis (HCA). The six regions were discriminated with accuracy using HCA and PCA based on the concentration of 16 trace elements. The elements were viewed as characteristic elements of the oysters and the fingerprints of these elements could be used to distinguish the quality of the oysters.

Analysis on the medication rules and mechanisms of action of traditional Chinese medicine in treating cervical cancer

Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Methods: Collect relevant literatures on cervical cancer in Chinese National Knowledgey Ifrastructure (CNKI), use TCM inheritance platform system (TCMISSV2.5) for association rules and complex system entropy clustering analysis;use BATMAN-TCM online analysis tools to construct target-pathway-disease network to reveal the underlying mechanisms of action. Results: Among the 78 prescriptions selected, a total of 172 Chinese medicines were used, and the five most frequently used herbs were Huang-bo (Phellodendri Chinrnsis Cortex), Fu-ling (Poria Cocos), Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Gan-cao (Licorice). Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Fu-ling (Poria Cocos), Bai-zhu (Atractylodes Macrocephala Koidz.) and Fu-ling (Poria Cocos) are the three most commonly used medicine match. In addition, through cluster analysis, a total of 4 core herbs compatibility and 2 new prescriptions were excavated. Herbs in the new prescriptions which are used to clearing heat-toxin and removing dampness were most frequently used. Through the analysis of the signal pathway of high frequency Chinese medicines, we found that neuroactive ligand-receptor interaction pathway may play important roles. Conclusion: The core Chinese medicines for the prevention and treatment of cervical cancer are mainly clearing heat-toxin and removing dampness. The core Chinese medicines may play their anti-cervical cancer by interfering with the neuroactive ligand-receptor interaction signaling pathway.

Prescription and treatment rules for the prescriptions containing Poria cocos and Atractylodes macrocephala couplet medicine based on traditional Chinese Medicine inheritance support platform

Objectives:To provide a theoretical basis for the development of the new products of Poria cocos-Atractylodes macrocephala couplet medicine.Methods:All prescription preparations containing Poria cocos and Atractylodes macrocephala were collected from the Drug Standards of the Ministry of Public Health Drug Standard·Traditional Chinese Medicine Set Prescription Preparation(called Traditional Chinese Medicine Set Prescription Preparation for short).After standardization,the information of each prescription preparation was input into the Chinese Traditional Medicine Inheritance Support Platform(V2.5),and the relevant rules of the software were adopted.Data mining methods were used to analyze the frequency of drugs,main symptoms and diseases in prescriptions,and to analyze the regularity of prescriptions.The prescription rules of top 2 high frequency attending syndromes and diseases were analyzed.Results:There were total of 337 prescription preparations containing couplet medicine of Poria cocos and Atractylodes macrocephala,107 kinds of main symptoms and 66 kinds of diseases.The high frequency syndromes were deficiency of Qi and blood and weakness of spleen and stomach,and the high frequency syndromes were anorexia and irregular menstruation.Conclusion:The couplet medicine of Poria cocos-atractylodes macrocephala prescription is mainly used to treat digestive tract diseases and gynecological diseases;it mostly takes tonifying deficiency efficat.It can treat different diseases being compatible with different medicinal materials.The study can provide theoretical basis for clinical application and new drug development of the couplet medicine of Poria cocos-atractylodes macrocephala.

Rule of prescribing traditional Chinese medicine in the treatment of pneumoconiosis basedon association rules and k-means clustering algorithm

Objective:To analyze the rule of prescribing traditional Chinese medicine for treating pneumoconiosis,so as to provide reference for differential diagnosis and treatment of pneumoconiosis as well as for the development of new drugs for treatingthe disease.Methods:We searched China National Knowledge Infrastructure,Wanfang Database and VIP Chinese PublicationDatabase to retrieve relevant literatures which were then screened according to the enrollment criteria to establish a prescriptiondatabase of traditional Chinese medicine for the treatment of pneumoconiosis.The inheritance calculation platform of traditionalChinese medicine was used to analyze the prescribing rule of traditional Chinese medicine in the treatment of pneumoconiosisbased on association rules,k-means clustering algorithm and regression model analysis.Results:A total of 131 related literature were preliminarily selected,from which 97 prescriptions of traditional Chinese medicine with a total of 195 herbs were included.The most frequently prescribed herbs included Radix astragali,Platycodon grandiflorum,Pinellia ternata,licorice,Codonopsispilosula,Salvia miltiorrhiza,bitter almond etc.A total of 14 association rules,13 high-frequency herb pairs were found and 5groups of formulas were revealed by cluster analysis.Conclusion:The prescriptions for the treatment of pneumoconiosis are mainly composed of herbs for tonifying deficiency,resolving phlegm,relieving cough and asthma,activating blood circulation and removingblood stasis,which are supplemented with herbs for clearing heat,relieving appearance,regulating qi,promoting waterand permeating dampness,etc.,The prescribing rules reflect the basic pathological characteristics of lung deficiency and collateral arthralgia in pneumoconiosis,which provides some ideas for the clinical differentiation and treatment of pneumoconiosis in traditionalChinese medicine.It also provides reference for the research and development of new treatment methods.

Analysis of prescription rules in the treatment of diabetic heart disease based on traditional Chinese medicine inheritance support system

Diabetes is a common clinical disease and has many complications,among which diabetic heart disease is the leading cause of death in diabetic patients.This article collected the prescriptions for the treatment of diabetic heart disease,and used the traditional Chinese medicine inheritance support system to explore the prescription formulation rules.Finally,we included 43 prescriptions for analysis.We found that the rules of formulas for treating diabetic heart disease are complex,but Chinese medicines in these formulas are mainly with the effects of nourishing Qi,nourishing Yin and activating blood circulation.At the same time,we obtained 3 new prescriptions and discussed the clinical rationality of the new prescriptions.The purpose of this article is to provide reference for clinical prescription in the treatment of diabetic heart disease and the development of related new drugs.

Analysis on the rules of prescriptions for ischemic stroke based on the traditional Chinese medicine inheritance auxiliary system

In China,traditional Chinese medicine is widely used in the treatment of ischemic stroke,but its prescription rules needs to be further studied.This paper uses the traditional Chinese medicine inheritance auxiliary system(a software)to analyze the composition rules of a large number of prescriptions for the treatment of ischemic stroke,and discusses the clinical rationality of the new prescriptions.We found that the prescriptions for the treatment of ischemic stroke are mainly composed by herbs for promoting blood circulation and removing blood stasis,dredging collaterals and tonifying deficiency,and some of the new prescriptions are also in line with this characteristic.This paper can provide reference for clinical prescription in the treatment of ischemic stroke and the development of related new drugs.

A study of medication rules of traditional Chinese medicine in the treatment of pre diabetes based on data mining

Background:To summarize the concerted application and prescription rules of traditional Chinese medicine in the treatment of pre diabetes.Methods:Microsoft Excel 2010 was used to summarize the categories,nature,flavour and channel tropism of drugs.The cluster analysis of high-frequency drugs was carried out by SPSS 22.0,and the association rules of high-frequency drugs were analyzed by Apriori algorithm provided by SPSS modeler 14.0.Results:One hundred and forty-six references were included,including 153 prescriptions and 131 drugs.Their frequency of use is listed in the following order.The top 3 categories of drugs were“Tonifying,Heat-Clearing”,diuresis and“Diffusing Dampness”drugs.The top 5 drugs were Huangqi(Astragali radix),Fuling(Poria),Huanglian(Coptidis rhizoma),Shanyao(Dioscoreae rhizoma),Gegen(Puerariae lobatae radix).The top 3 channel tropism of drugs were spleen,stomach and lung.The top 3 nature of drugs were cold,warm and calm.The top 3 flavour of drugs were sweet,bitter and pungent.The cluster analysis of high-frequency drugs showed that it could be classified into 4 categories:“Benefiting Qi”for promoting production of fluid,“Clearing Heat”and“Eliminating Dampness”,“Nourishing Yin”and“Clearing Heat”,and“Invigorating Spleen”for“Diffusing Dampness”.The results of association rule analysis showed that the combination with the highest degree of confidence and support was Poria-Chenpi(Citri reticulatae pericarpium)-Banxia(Pinelliae rhizoma)-Baizhu(Atractylodis macrocephalae rhizoma)and the combination with the highest frequency was Astragali radix-Puerariae lobatae radix.Conclusion:The pre diabetes is due to deficiency.The disease location is spleen and stomach and the pathological factor is phlegm-damp,that is why benefiting qi and invigorating spleen is regarded as the key link of clinical treatment.

Analysis on medication rules of traditional Chinese medicine for postpartum abdominal pain

Background:To explore the medication rules in traditional Chinese medicine for treating postpartum abdominal pain by using data mining technology.Methods:First,according to inclusion and exclusion criteria,the prescriptions for treating postpartum abdominal pain were collected and screened by referring to the Dictionary of Traditional Chinese Medicine Prescriptions,CNKI,Wanfang,Vip database,Chaoxing database,CBM and other databases.Then,the traditional Chinese medicinal materials were analyzed by ancient and modern medical cases cloud platform.Results:295 first prescriptions were included,involving 248 kinds of traditional Chinese medicine,and the usage frequency of traditional Chinese medicine reached 2,189 times.The efficacy of the top 22 herbs with the highest use frequency is mainly tonic drugs and drugs for promoting blood circulation and removing blood stasis,mainly with the nature of warmness and spiciness,and the channel tropisms mainly include liver meridians,spleen meridians,and heart meridians.The association rule analysis shows 17 high-frequency traditional Chinese medicine combinations with the support≥0.1 and the confidence≥0.8.Three new drug combinations were obtained through cluster mining;both of them took supplementing qi and nourishing blood,promoting blood circulation,and removing stasis as the main treatments.Conclusions:The basic principle of treatment is strengthening the body’s resistance to eliminate pathogenic factors.Therefore,when treating postpartum abdominal pain to promote postpartum recovery,it mainly combines the drugs for benefiting Qi and nourishing blood,invigorating blood circulation,and eliminating stasis.

High-Performance Liquid Chromatography Fingerprint of Marine Traditional Chinese Medicine Haliotidis

Objective: Haliotidis, the dried muscle of abalone, has long been used as a marine traditional Chinese medicine(TCM) due to its high medicinal and nutritive values, whereas few reports contributed to its quality control. This study aimed to establish the high-performance liquid chromatography(HPLC) fingerprints of Haliotidis. Materials and Methods: The HPLC fingerprints of Haliotidis, the manufacturing products of dried muscle of abalone, were analyzed by reverse-phase HPLC, using a YMC HPLC C18 column(250 mm × 4.6 mm, 5 μm).The gradient elution mode was applied with mobile phase starting from 5% acetonitrile and 0.1% phosphoric acid aqueous solution to 100%acetonitrile in 70 min at a flow rate of 1.0 mL/min. The detection wavelength was set at 190 nm. Results: Through compared the HPLC fingerprint chromatograms of 14 batches of Haliotidis, 25 peaks were assigned as the characteristic common peaks, of which one index component L-phenylalanine was identified by comparison with its standard substance. The established HPLC fingerprint analysis method of Haliotidis was validated with good precision, repeatability, and stability. Based on the above study, a reference HPLC fingerprint chromatogram of Haliotidis was proposed. Conclusions: It is the first time to establish the HPLC fingerprint chromatogram of TCM Haliotidis, which could contribute to the establishment of its quality control system.

Compatibility rule of traditional Chinese medicine for treatment of cardiac neurosis based on data mining

Objective:To analyze the prescription and medication rule of traditional Chinese medicine(TCM)in treating cardiac neurosis by using the software of"Traditional Chinese Medicine Inheritance Assistant Platform(V2.5)".Methods:China Journal Full-Text Database,Wanfang database,Weipu Chinese Periodical Service Platform and Chinese biomedical literature database were retrieved according to the inclusion and exclusion criteria.Literatures on the treatment of cardiac neurosis with TCM prescriptions were screened out and data mining was carried out using the TCM inheritance assistant platform.Use frequency,commonly used dose,the frequency of properties,flavors and meridian distribution were counted.Association rules and entropy clustering analysis for complex system were used to extract core drug combinations and unsupervised entropy hierarchical clustering was used to predict potential new prescriptions.Results:Through literature retrieval and screening,210 types of prescriptions were finally selected,and 181 types of Chinese herbs were extracted,with cumulative frequency of 2410 times.Among them,there were 46 traditional Chinese medicines that were used more than 15 times.According to the efficacy and indication,they were classified into qi-regulating drugs,tranquilizers,qi-tonifying drugs,heat-clearing drugs,blood-tonifying drugs,etc.According to properties,flavors,and meridian distribution,warm and sweet drugs were the most commonly used,mostly distributing to the heart meridian,followed by liver and spleen meridians.Association rules showed that combination of radix paeoniae and paeonia-bupleurum was the most used;faructus aurantii and bupleurum had the strongest correlation,up to 90%.The network diagram indicated that bupleurum,angelica sinensis,radix paeoniae radix,and poria cocos were the core of the association network.Based on complex system entropy clustering,24 core drug combinations were obtained.The unsupervised entropy hierarchical clustering algorithm was used to extract 12 core drug combinations,and 6 potential new formulae were obtained by further clustering.Conclusion:Regulating qi and blood,addressing both symptoms and causes,and using purgation and tonification at the same time is the principle of the treatment of cardiac neuropathy with TCM.The treatment mainly starts from the heart,liver and spleen,and therapies include soothing the liver and regulating qi,clearing heat and resolving phlegm,tranquilizing and calming the nerves,and prompting blood circulation and diuresis.

Based on the national patent database to explore the rule of traditional Chinese medicine in the treatment of hyperlipidemia

Objective:To explore the medication law of traditional Chinese medicine compound patent for hyperlipidemia,and to provide reference for the research and development of traditional Chinese medicine new drugs for clinical treatment of hyperlipidemia.Methods:All compound TCM patents related to the treatment of hyperlipidemia were searched and extracted from the national patent database(http://epub.sipo.gov.cn)from the establishment of the database to 10st,March 2021.The data was established by the TCM Inheritance Support System(V2.5)and Microsoft Excel 2010 Softwore,and used to conduct TCM syndromes,frequency statistics,four nature and five flavors of traditional Chinese medicine,meridian attribution statistics.IBM SPSS statistics 20 software was used for drug clustering analysis,IBM SPSS modeler 18.2.2 software was used for association rules and web visualization analysis.Results:Totally 284 compound TCM patents were included,involving 577 kinds of Chinese medicine,and the most common syndrome was Yin deficiency of liver and kidney syndrome(74 times,accounting for 26.06%).The most ten common Chinese materiamedica was Hawthorn,Salvia miltiorrhiza,Alismaorientalis,Cassia seed,Polygonummultiflorum,Licorice,Poriacocos,chinese rhubarb,dried tangerine peel,Radix Paeoniae Alba.The top three appeared frequently in drug categories were tonifying deficiency medicine,activating blood-circulation and dissipating blood-stasis medicine,and heat-clearing medicine,respectively.The top two of its drug properties were warm and cold;the top three drug tastes were sweet,bitterness and pungent;the top two meridians were liver and spleen meridian,respectively.Seven drug groups were obtained by cluster analysis,and 16 were obtained by association rule analysis,including 5 drug pairs and 11 three drug groups.Conclusion:Through the data mining of the patent of traditional Chinese medicine compound prescription for regulating and treating hyperlipidemia,it is concluded that the fundamental pathogenesis of the disease is deficiency of viscera function and obstruction of phlegm and blood stasis.The clinical methods are tonifying the liver and kidney,activating blood circulation and removing stasis,resolving phlegm and removing dampness.Traditional Chinese medicine is mostly used for tonifying deficiency,activating blood circulation,removing stasis,resolving phlegm and removing dampness.This paper provides a reference for the research and development of traditional Chinese medicine for hyperlipidemia.

Analysis of the law of traditional Chinese medicine in prevention and treatment of gastrointestinal reaction caused by lung cancer chemotherapy

Objective:To explore the law of traditional Chinese medicine in prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer.Methods:The literatures on prevention and treatment of gastrointestinal reaction after chemotherapy with Chinese medicine were searched from CNKI,Wanfang and VIP databases from the establishment of the database to September 2020.After screening,the database was established,and data mining was conducted by using IBM SPSS statistics 20.0 and IBM SPSS modeler 18.0 to summarize the medication rules of traditional Chinese medicine in the prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer.Results:(1)A total of 131 literatures involving 245 traditional Chinese medicines were included for data mining;(2)High frequency drugs include Astragalus membranaceus,liquorice,Poria cocos,Atractylodes macrocephala,Pinellia ternata,Codonopsis pilosula,Ophiopogon japonicus,coix seed,Pericarpium Citri Reticulatae,Radix Glehniae and so on;(3)The traditional Chinese medicine used is mainly tonifying deficiency medicine,resolving phlegm and relieving cough and asthma medicine,diuresis and dampness medicine,heat clearing medicine and antiphlogistic medicine.The medicine tastes bitter and sweet,and has cold and warm properties.The meridian tropism involves liver,lung,stomach,spleen and kidney;(4)Seven core TCM combinations were obtained by cluster analysis,and 24 drug pairs(groups)were obtained by association rule analysis.Conclusion:Through the data mining of traditional Chinese medicine for the prevention and treatment of gastrointestinal reaction after chemotherapy for lung cancer,we can find out the potential rules of traditional Chinese medicine prescription,and clarify the core Chinese medicine,which is helpful to provide certain reference for the development and research of drugs for the treatment of gastrointestinal reaction and modern clinical practice.

Analysis of the rule of medication for internal administration of gout by traditional Chinese medicine based on Traditional Chinese Medicine Inheritance System

Objective:Based on the TCMIS(traditional Chinese medicine inheritance system)V2.5 to explore the rule of medication used in internal TCM(traditional Chinese medicine)for gout in the national patent network.Method:Collect the internal administrations of gout in the national patent network,and enter them into the Chinese medicine inheritance system V2.5,adopt Frequency analysis,association rules,complex system entropy clustering and other data mining methods to analyse the internal traditional formula of traditional Chinese medicine for gout.Results:By inclusion,exclusion criteria,357 formulas are screened out,involving 494 medicine,63 medicine with frequency of use≥20,and 40 commonly used medicine pairs.The core medicine are:Huangbai(Cortex Phellodendri),Cangzhu(Rhizoma Atracylodis),Niuxi(Radix Acanthopanacis Bidentatae),Yiyiren(Semen Coicis),Tufuling(Rhizoma Smilacis Glabrae),Bixie(Rhizome Dioscoreae Hypoglaucae),Gancao(Radix Glycyrrhizae),Weilingxian(Radix Clematidis),Zexie(Rhizoma Alismatis),Danggui(Radix Angelicae Sinensis),Chuanxiong(Rhizoma Chuanxiong).There are 28 new combinations and 14 new formulas.Conclusion:In the national patent network,the internal traditional Chinese medicine for gout is based on clearing away heat and dampness,activating blood circulation to dredge collaterals,which provides reference for clinical treatment of gout.

Identification of core compositions of traditional Chinese medicine for Seborrheic Dermatitis using data mining techniques

Objective:To explore the clinical medication rule of seborrheic dermatitis in modern Chinese medicine by data mining,in order to benefit the clinical treatment of seborrheic dermatitis in traditional Chinese medicine.Methods:From January 1,2010 to September 4,2019,articles on Chinese medicine for seborrheic dermatitis were searched systematically in CNKI,VIP and Wan Fang databases.Prescription databases were established through the Chinese Medicine Inheritance assistant system to mine and analyze the rules of data.Results:69 researches were screened out,72 prescriptions for seborrheic dermatitis.13 drugs were used more than or equal to 15 times,and 9 pairs of commonly used drugs with correlation coefficient above 0.045 were selected.Six core combinations and two new prescriptions were obtained.Conclusion:Data mining method was used to analyze the high-frequency drugs and drug pairs,which reflected the treatment principle of clearing heat and removing dampness,nourishing blood and moistening dryness,promoting qi and strengthening spleen in the clinical treatment of seborrheic dermatitis,and provided more intuitive research evidence for the follow-up clinical treatment.

Integrated evaluation of HPLC fingerprints for the quality control of Ginseng Yang Rong Wan by multi-wavelength fusion fingerprint method

The aim of this study was to develop comprehensive evaluation methods for the quality control of Ginseng Yang Rong Wan(RSYRW).Multi-wavelength fusion fingerprints were successfully developed by high-performance liquid chromatography,which avoided the one-sidedness of single fingerprinting.Characteristic fingerprints of thirty batches of samples were generated at five wavelengths and evaluated by quantified ratio fingerprint method(QRFM).The results showed that thirty batches of samples were classified into seven grades.The methods established in this paper were found suitable for the analysis of Ginseng Yang Rong Wan.