Clinical research report on traditional Chinese patent medicines and traditional Chinese classic famous prescriptions(2022)

Objective:The paper is to comprehensively summarize and analyze the basic situation and methodological quality of clinical randomized controlled trials(RCTs)of traditional Chinese patent medicines and traditional Chinese classic famous prescriptions published in 2022,to provide evidence and reasonable suggestions for the advancement of clinical research and the formulation of policies and guidelines.Methods:The Evidence Database System of clinical evidence-based evaluation of traditional Chinese medicine was searched,and data from China National Knowledge Infrastructure(CNKI),PubMed,and other databases were supplemented.The search duration was from January 1,2022,to December 31,2022.RCTs of traditional Chinese patent medicines and traditional Chinese classic famous prescriptions were included as the source of clinical evidence,and published information,sample size,intervention,control measures,treatment course,methodological quality,and key link report were analyzed and evaluated.Results:A total of 1,464 RCTs of traditional Chinese patent medicines were included,which comprised 667 types of traditional Chinese patent medicines;“traditional Chinese patent medicines+Western medicine vs.Western medicine”was the most widely used intervention and control setting,involving 417 RCTs(28.48%).A total of 245 RCTs of traditional Chinese classic famous prescriptions were included,comprising 55 types of traditional Chinese classic famous prescriptions.“Decoction+conventional treatment vs.conventional treatment”was the most widely used intervention and control setting,with 87 RCTs(35.51%).Published RCTs on traditional Chinese patent medicines and traditional Chinese classic famous prescriptions were limited by the study design and implementation.Most“allocation concealment”and“blinding of patients and personnel”were rated as medium to high risk.There are insufficient reports on key research links such as experimental registration and ethical approval.Conclusions:The number of RCTs on traditional Chinese patent medicines has decreased in 2022,but there has been a slight improvement in the research quality and impact.There are relatively few studies on traditional Chinese classic famous prescriptions.Measures must be taken to improve clinical trial design,implementation,and reporting.Methodological experts should be invited to provide professional technical guidance on the trial design.In the research implementation process,attention should be paid to quality control,particularly the standardization of the randomized execution.

Integrative analysis of bone-formation associated genes and immune cell infiltration in osteoporosis, and the prediction of active ingredients in targeted traditional Chinese medicine

Objective To explore the differential expression and mechanisms of bone formation-related genes in osteoporosis(OP)leveraging bioinformatics and machine learning methodologies;and to predict the active ingredients of targeted traditional Chinese medicine(TCM)herbs.Methods The Gene Expression Omnibus(GEO)and GeneCards databases were employed to conduct a comprehensive screening of genes and disease-associated loci pertinent to the pathogenesis of OP.The R package was utilized as the analytical tool for the identification of differentially expressed genes.Least absolute shrinkage and selection operator(LASSO)logis-tic regression analysis and support vector machine-recursive feature elimination(SVM-RFE)algorithm were employed in defining the genetic signature specific to OP.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses for the selected pivotal genes were conducted.The cell-type identification by estimating rela-tive subsets of RNA transcripts(CIBERSORT)algorithm was leveraged to examine the infiltra-tion patterns of immune cells;with Spearman’s rank correlation analysis utilized to assess the relationship between the expression levels of the genes and the presence of immune cells.Coremine Medical Database was used to screen out potential TCM herbs for the treatment of OP.Comparative Toxicogenomics Database(CTD)was employed for forecasting the TCM ac-tive ingredients targeting the key genes.AutoDock Vina 1.2.2 and GROMACS 2020 softwares were employed to conclude analysis results;facilitating the exploration of binding affinity and conformational dynamics between the TCM active ingredients and their biological targets.Results Ten genes were identified by intersecting the results from the GEO and GeneCards databases.Through the application of LASSO regression and SVM-RFE algorithm;four piv-otal genes were selected:coat protein(CP);kallikrein 3(KLK3);polymeraseγ(POLG);and transient receptor potential vanilloid 4(TRPV4).GO and KEGG pathway enrichment analy-ses revealed that these trait genes were predominantly engaged in the regulation of defense response activation;maintenance of cellular metal ion balance;and the production of chemokine ligand 5.These genes were notably associated with signaling pathways such as ferroptosis;porphyrin metabolism;and base excision repair.Immune infiltration analysis showed that key genes were highly correlated with immune cells.Macrophage M0;M1;M2;and resting dendritic cell were significantly different between groups;and there were signifi-cant differences between different groups(P<0.05).The interaction counts of resveratrol;curcumin;and quercetin with KLK3 were 7;3;and 2;respectively.It shows that the interac-tions of resveratrol;curcumin;and quercetin with KLK3 were substantial.Molecular docking and molecular dynamics simulations further confirmed the robust binding affinity of these bioactive compounds to the target genes.Conclusion Pivotal genes including CP;KLK3;POLG;and TRPV4;exhibited commendable significant prognostic value;and played a crucial role in the diagnostic assessment of OP.Resveratrol;curcumin;and quercetin;natural compounds found in TCM;showed promise in their potential to effectively modulate the bone-forming gene KLK3.This study provides a sci-entific basis for the interpretation of the pathogenesis of OP and the development of clinical drugs.

Constitution identification model in traditional Chinese medicine based on multiple features

Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions;thereby offering optimized guidance for clinical diagnosis and treatment plan-ning;and ultimately enhancing medical efficiency and treatment outcomes.Methods First;TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people;from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ);and a dataset encompassing labelled constitutions was constructed.Second;heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition;a dual-branch deep network was employed to collect deep features from the full-body standing images.Last;the random forest(RF)algorithm was utilized to learn the extracted multifea-tures;which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy;precision;and F1 score were the three measures selected to assess the perfor-mance of the model.Results It was found that the accuracy;precision;and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842;0.868;and 0.790;respectively.In comparison with the identification models that encompass a single feature;either a single facial complexion feature;a body shape feature;or deep features;the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105;0.105;and 0.079;the precision increased by 0.164;0.164;and 0.211;and the F1 score rose by 0.071;0.071;and 0.084;respectively.Conclusion The research findings affirmed the viability of the proposed model;which incor-porated multifeatures;including the facial complexion feature;the body shape feature;and the deep feature.In addition;by employing the proposed model;the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.

The enlightenment of artificial intelligence large-scale model on the research of intelligent eye diagnosis in traditional Chinese medicine

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

An interpretability model for syndrome differentiation of HBV-ACLF in traditional Chinese medicine using small-sample imbalanced data

Objective Clinical medical record data associated with hepatitis B-related acute-on-chronic liver failure(HBV-ACLF)generally have small sample sizes and a class imbalance.However,most machine learning models are designed based on balanced data and lack interpretability.This study aimed to propose a traditional Chinese medicine(TCM)diagnostic model for HBV-ACLF based on the TCM syndrome differentiation and treatment theory,which is clinically interpretable and highly accurate.Methods We collected medical records from 261 patients diagnosed with HBV-ACLF,including three syndromes:Yang jaundice(214 cases),Yang-Yin jaundice(41 cases),and Yin jaundice(6 cases).To avoid overfitting of the machine learning model,we excluded the cases of Yin jaundice.After data standardization and cleaning,we obtained 255 relevant medical records of Yang jaundice and Yang-Yin jaundice.To address the class imbalance issue,we employed the oversampling method and five machine learning methods,including logistic regression(LR),support vector machine(SVM),decision tree(DT),random forest(RF),and extreme gradient boosting(XGBoost)to construct the syndrome diagnosis models.This study used precision,F1 score,the area under the receiver operating characteristic(ROC)curve(AUC),and accuracy as model evaluation metrics.The model with the best classification performance was selected to extract the diagnostic rule,and its clinical significance was thoroughly analyzed.Furthermore,we proposed a novel multiple-round stable rule extraction(MRSRE)method to obtain a stable rule set of features that can exhibit the model’s clinical interpretability.Results The precision of the five machine learning models built using oversampled balanced data exceeded 0.90.Among these models,the accuracy of RF classification of syndrome types was 0.92,and the mean F1 scores of the two categories of Yang jaundice and Yang-Yin jaundice were 0.93 and 0.94,respectively.Additionally,the AUC was 0.98.The extraction rules of the RF syndrome differentiation model based on the MRSRE method revealed that the common features of Yang jaundice and Yang-Yin jaundice were wiry pulse,yellowing of the urine,skin,and eyes,normal tongue body,healthy sublingual vessel,nausea,oil loathing,and poor appetite.The main features of Yang jaundice were a red tongue body and thickened sublingual vessels,whereas those of Yang-Yin jaundice were a dark tongue body,pale white tongue body,white tongue coating,lack of strength,slippery pulse,light red tongue body,slimy tongue coating,and abdominal distension.This is aligned with the classifications made by TCM experts based on TCM syndrome differentiation and treatment theory.Conclusion Our model can be utilized for differentiating HBV-ACLF syndromes,which has the potential to be applied to generate other clinically interpretable models with high accuracy on clinical data characterized by small sample sizes and a class imbalance.

The Characteristics of the Drug Composition in the Treatment of Insomnia by External Bath Prescription of Traditional Chinese Medicine

[Objectives]The research aimed to carry out a retrospective analysis on the characteristics of the drug composition in the treatment of insomnia by external bath prescription of traditional Chinese medicine,to provide ideas for the research and development of new Chinese medicine for insomnia.[Methods]The external bath prescriptions of traditional Chinese medicine related to insomnia were collected,and the appearance frequency of drug was analyzed,and statistical analysis of drug with high appearance frequency was conducted.[Results]In the external bath prescriptions of traditional Chinese medicine related to insomnia,the top ten herbs with high appearance frequency were as follows:Chaozaoren,Drgonsbones,Margaritifera,Yejiaoteng,Schisandrae Chinensis Fructus,Lilii Bulbus,Platycladi Semen,Poria,Coptidis Rhizoma,and Scutellariae Radix.According to the classification by efficacy,these herbs mostly have the effects of calming,nourishing and heat clearing.[Conclusions]Traditional Chinese medicine is most closely related to heart,kidney,liver and other viscera.Tranquilizing and sedative drugs should be chosen,which corresponds with the understanding on pathogenesis of insomnia in traditional Chinese medical science,and embodies the characteristics of external bath prescription of traditional Chinese medicine in the treatment of insomnia.

A brief overview of traditional Chinese medicine prescription powered by artificial intelligence

Traditional Chinese medicine prescription is one of the treasures of traditional Chinese medicine(TCM).There are tens of thousands TCM prescriptions accumulated in the past thousands of years,corresponding to different diseases,symptoms and therapeutic goals.The correspondences are so complicated that there is an urgent need to leverage new technologies such as artificial intelligence(AI)to analyze,understand and utilize them effectively.In this paper,we present a brief overview of this direction,where current research progress on TCM prescription powered by AI is summarized.Our summarization focuses on three aspects,TCM prescription mining that aims at understanding the TCM prescription,TCM prescription or herb knowledge base construction that aims at extracting knowledge to support the TCM prescription-related study,and TCM prescription discovery that aims at utilizing AI technologies to further energize TCM.It is encouraging to see that steady progress in this direction has been made recently.Besides,a toy experiment on image-based TCM herb recognition by using convolutional neural networks is also conducted.It basically verifies that it is promising to use AI technologies to address challenging tasks in TCM.We also point out several research topics that could be cooperatively performed by researchers from the two disciplines.

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.

Applicability of Zipfs Law in Traditional Chinese Medicine Prescriptions

Objective Traditional Chinese medicine(TCM)prescriptions have been used to cure diseases in China for thousands of years,in which many TCM herbs have no definite common quantity.Some key TCM herbs are commonly used and thus deserve in-depth investigations based on a more acceptable classification method.This study analyzes whether TCM prescriptions follow Zipf's law and attempts to obtain the thresholds of key TCM herbs based on the application of Zipfs law;Methods A total of 84,418 TCM prescriptions were collected and standardized.We tested whether Zipf's law and Zipfs distribution fit the Chinese herb distributions.A linear fitting experiment was performed to verify the relationship between the frequency distribution and frequency of TCM herbs.Results The distribution of TCM herbs in TCM prescriptions conformed to Zipf's law.Accordingly,the thresholds were obtained for the key TCM herbs.Conclusion The distribution of TCM herbs in TCM prescriptions follows Zipfs law.

Screening of Traditional Chinese Medicine Prescription for Treating Damp-heat Diarrhea of Piglets

[Objective] The paper was to explore the therapeutic effect of traditional Chinese medicine on damp-heat diarrhea of piglets in summer.[Method] Three prescriptions were developed with a dozen of traditional Chinese medicines,and in vitro antibacterial test against swine standard Escherichia coli [O149：K91,K88 ac（C83907）] was conducted.Moreover,106 natural cases of diarrhea piglets caused by coinfection of damp-heat and E.coli through clinical and laboratory diagnosis were then treated.[Result] The oral liquids prepared by three traditional Chinese medicine prescriptions had certain antibacterial effect on standard pathogenic E.coli.Prescription 2 presented the strongest inhibitory effects on swine E.coli in vitro,with the MIC of 31.25 mg/m L.It had better therapeutic effect,and the effective rate reached 94.74%.[Conclusion] The prescription 2 mainly consisted of Coptis chinensis and Prunus mume might be effective in treatment of piglet diarrhea caused by damp heat and E.coli in clinic.

Exploring the compatibility theory of traditional Chinese medicine formulae:the disassembled prescriptions study

Traditional Chinese medicine(TCM)has become very popular in the treatment of complex diseases worldwide in recent decades.Despite the promising performance of TCM,how herbs work synergistically in a formula and their therapeutic targets remain ambiguous.This largely limits the correct use and modernization of TCM formulas clinically.The study of disassembled prescriptions is important for investigating the compatibility theory of Chinese medicines.By dissecting the mechanisms of TCM formulae,the compatibility principles of some well-known formulae,such as Realgar-Indigo naturalis,have been elucidated to a certain extent.In this review,several common methods of disassembled prescription studies are summarized,including those of single herb or mineral,sub-prescription,active ingredients or effective parts,large formulae,and systems pharmacology studies,as well as the methods of grouping based on the properties or efficacy of Chinese medicines,in order to provide evidence for formulae study.Moreover,some challenges to be addressed in disassembled prescriptions studies have been identified in this review.

Prediction of the mechanism of prostate prescription Ⅰ in the treatment of chronic prostatitis based on integrative pharmacology of traditional Chinese medicine

Objective:To investigate potential mechanism of Prostate prescriptionⅠin the treatment of chronic prostatitis based on integrated pharmacology.Methods:with the help of TCMIP,the effective compounds of Prostate prescriptionⅠwere screened,and the potential target database of Prostate prescriptionⅠwas established by using the target prediction function of TCMIP.Based on the Human Phenotype Ontology database and protein interaction network(PPI)database,the disease target of CP was identified and the target interaction network was constructed;Through the GO function analysis and KEGG pathway enrichment analysis of the candidate targets,combined with Chinese and foreign literature studies to predict the potential Signaling pathway of Prostate prescriptionⅠin the treatment of CP.Results:79 effective compounds of Prostate prescriptionⅠexerted its effect on 33 targets through 11 pathways.Conclusion:Clinical efficacy of Prostate prescriptionⅠon CP may be reflected in antiinflammation and anti-tumor,cell metabolism,immune regulation,neuroregulation and so on.

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.

Potential Preventive and Therapeutic Effects of Traditional Chinese Medicine Compound Prescription and Traditional Chinese Medicine Products on COVID-19

This paper mainly analyzes the traditional Chinese medicine compound prescription and traditional Chinese medicine products with remarkable epidemic prevention effect since the outbreak of COVID-19,and discusses their potential prevention and treatment effects,so as to provide a basis for the further development and application of traditional Chinese medicine compound prescription and traditional Chinese medicine products against COVID-19.

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.

Research Progress in the Application of Network Pharmacology in Traditional Chinese Medicine and Compound Prescriptions

Network pharmacology is a new discipline based on the theory of systems biology,mainly for network analysis of biological systems.It selects specific signal nodes for multi-target drug molecular design.This article summarizes the application of network pharmacology in traditional Chinese medicine and compound prescriptions in recent years from the research progress of network pharmacology,the current research status of single herbs,and the research and application of compound prescriptions.

Discussion on the Application of Ascending and Descending Property of Traditional Chinese Medicine in Compatibility of Clinical Prescriptions

Through the method of literature mining,the classics of traditional Chinese medicine,materia medica works,medical cases and documents are studied.Based on common prescriptions for the treatment of diseases such as abnormal Zang-fu viscera and qi movement,dysfunction,etc.,and combined with the theory of ascending and descending property of traditional Chinese medicine,the application of ascending and descending property of traditional Chinese medicine in clinical prescription compatibility and the factors affecting the application are summarized.The ascending and descending properties of traditional Chinese medicine have been widely used in prescription compatibility for the clinical treatment of impairment of purifying and descending function of the lung,spleen and stomach's ascending and descending disorders and heart-kidney noninteractionpatte.

Traditional Chinese medicine prescriptions and herbs for the treatment of hypothyroidism:a narrative review

The increasing prevalence of hypothyroidism,which can cause endocrine dysfunction,abnormal neurological function,and cardiovascular and cerebrovascular injuries,poses serious health problems.Thyroid hormone supplementation constitutes the current main therapeutic method for hypothyroidism,yet it has many limitations and risks and is not suitable for everyone.Therefore,it is necessary to seek alternative and complementary treatment methods.It has been proven in practice that traditional Chinese medicine(TCM)possesses multi-channel comprehensive characteristics for the treatment of hypothyroidism and has more advantages than single thyroid hormone supplementation.Through a comprehensive examination of existing literature about TCM efficacy in addressing hypothyroidism,we have meticulously consolidated the most recent research findings on prescriptions and herbal substances employed in the treatment of this condition.Furthermore,we have explicated their respective functions in the management of hypothyroidism,thereby offering valuable perspectives and recommendations for the prospective utilization of natural remedies in its treatment.

Pharmaceutical Rules of Traditional Chinese Medicine For Stroke Based on Dictionary of Prescriptions and Complex Network Analysis

Objective:Taking the Dictionary of Prescriptions as a clue,we collected effective prescriptions for treating Stroke,and systematically summarized the medication and compatibility rules of the core Chinese medicines for treating Stroke.Methods:A database of prescriptions for stroke based on complex relationship analysis system of traditional Chinese medicine was established.From the point of view of complex network,the hierarchy of drug compatibility rules of compound prescriptions(such as courtiers and envoys)was analyzed,the statistical characteristics of complex networks were analyzed,and an attempt was made to explain the characteristics of complex networks of drugs for stroke.Results:A total of 974 prescriptions were collected,including 1040 Chinese herbs.The core Chinese herbal medicines with nodal degree(>500)for Stroke were divaricate saposhnikovia root,liquorice root,Chinese angelica,tall gastrodia tuber,incised notopterygium rhizome and root.The compatibility relationship of the core Chinese medicines in the treatment of stroke is divaricate saposhnikovia root-liquorice root,ephedra-divaricate saposhnikovia root,divaricate saposhnikovia root-sichuan lovage rhizome,divaricate saposhnikovia root-Chinese angelica in order of frequency.Conclusion:Through the analysis of the common network structure of effective prescriptions for Stroke,the core prescription compatibility structure reflecting the prescription thinking and clinical characteristics was found.

A study on the medication law of oral administration of traditional Chinese medicine in treating breast carbuncle based on the Traditional Chinese Medicine Prescription Dictionary

Objective:Based on the database of Traditional Chinese Medicine Prescription Dictionary,the prescription medication rules of oral administration of traditional Chinese medicine in the treatment of breast carbuncle were explored by using the software of Traditional Chinese Medicine Inheritance Support System(V2.5).Methods:To screen and retrieve the prescriptions for treating breast carbuncle in the Traditional Chinese Medicine Prescription Dictionary,and data mining was carried out by using association rule algorithm,complex system entropy clustering and so on.Results:A total of 208 prescriptions which met the inclusion criteria were selected,involving 175 traditional Chinese medicines.Among them,23 medicines were found to be more than 21 times in the treatment of breast carbuncle.The nature of the medicine is mainly cold or warm,the flavour of the medicine is mainly bitter or sweet,most of them belong to the spleen,liver,stomach.15 commonly used drug combinations and 9 new prescriptions were obtained.Conclusion:The key pathogenesis of breast carbuncle is liver depression and Qi stagnation,stomach heat blocking collaterals,the treatment is mainly to clear heat and detoxify,regulate Qi to diffuse the knot,which provides reference for the choose of traditional Chinese medicine prescription in treating breast carbuncle.