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.

Current Research Status of Traditional Chinese Medicine External Treatment for Diarrhea Type Irritable Bowel Syndrome

Irritable bowel syndrome(IBS-D)with diarrhea is a common gastrointestinal functional disease in clinical practice,which seriously affects the quality of life of patients.Cur‐rently,Western medicine has poor therapeutic effects,while traditional Chinese medi‐cine has unique advantages in relieving IBS-D symptoms and preventing recurrence.In recent years,especially with external treatment of traditional Chinese medicine,it has become a new treatment direction in clinical practice and has achieved good therapeutic effects.This article will provide a review of recent research on the treatment of IBS-D using traditional Chinese medicine external treatment methods.

Exploring the Application Effect of Flipped Classroom Combined with Problem-Based Learning Teaching Method in Clinical Skills Teaching of Standardized Training for Resident Doctors of Traditional Chinese Medicine

Objective: To explore the application effect of flipped classroom combined with problem-based learning teaching method in clinical skills teaching of standardized training for resident doctors of traditional Chinese Medicine. Methods: The study used the experimental control method. The study lasted from September to November 2022. The subjects of this study were 49 students of standardized training for resident doctors of traditional Chinese Medicine from grades 2020, 2021 and 2022 of Dazhou integrated TCM & Western Medicine Hospital. They were randomly divided into experiment group (25) and control group (24). The experiment group adopted flipped classroom combined with problem-based learning teaching method, and the control group adopted traditional teaching method. The teaching content was 4 basic clinical skill projects, including four diagnoses of traditional Chinese Medicine, cardiopulmonary resuscitation, dressing change procedure, acupuncture and massage. The evaluation method was carried out by comparing the students’ performance and a self-designed questionnaire was used to investigate the students’ evaluation of the teaching method. Results: The test scores of total scores in the experimental group (90.12 ± 5.89) were all higher than those in the control group (81.47 ± 7.96) (t = 4.53, P P Conclusions: The teaching process of the flipped classroom combined with problem-based learning teaching method is conducive to improving the efficiency of classroom teaching, cultivating students’ self-learning ability, and enhancing students’ willingness to learn.

Computational investigation on the molecular structure and chemical reactivity of a traditional Chinese medicine extract MK-1 molecule

MK-1 molecule(C_(16)H_(16)O_(2)),the simplest structure of vitamin K(VK)compound family,is an extract from traditional Chinese medicine Cymbopogon distans(Nees ex Steud.)Wats(Chinese name YunXiangCao),which has attracted a great deal of attention in recent years due to its antiasthmatic,antitussives and expectorant effects.To investigate the molecular structure and chemical reactivity of MK-1 molecule,computational investigations on six conformational minima structures were carried out at the MP2/6-311++G(2d,2p)level of theory.Several local reactivity descriptors including condensed Fukui function,average local ionization energy,and molecular electrostatic potential on each individual atom were determined to predict the intrinsic reactivity of MK-1 molecule.

Matching traditional Chinese medicine and western medicine-based research:Advanced nutraceutical development for proactive gastric cancer prevention

Gastric cancer(GC),the third leading cause of cancer-related death globally,is complex and heterogeneous.This review explores multidisciplinary investigations of traditional Chinese medicine(TCM)combined with Western medical practices,emphasizing the development of nutraceuticals for cancer prevention.Using advanced analytical chemistry and food chemistry techniques,this study investigated how TCM components may be optimized for nutraceutical development.Focusing on molecular interactions with GC pathways,particularly the NF-κB,PI3K/Akt,and Wnt/β-catenin pathways,we examined the effects of TCM polyherbal formulas,extracts,and isolated compounds.These agents modulate apoptosis and cellular proliferation,underscoring their potential in preventive strategies.The convergence of nutraceutical and medicine food homology studies highlights a significant shift towards integrating TCM-derived compounds in a preventive health framework.This approach aims not only to enhance efficacy and reduce side effects but also to champion a preventive paradigm using personalized medicine to advance proactive health maintenance and disease prevention.The combination of TCM and western medical practices offers promising avenues for future research and practical applications in GC prevention.

Study on prescription medication mode and mechanism of traditional Chinese medicine in the treatment of noncritical COVID-19 based on data mining

Background:As of 2023,coronavirus disease 2019(COVID-19)is still spreading globally.Therefore,we aim to integrate non-critical COVID-19 high-frequency and high-targeting Chinese medicines to provide a reference for clinical prescriptions to improve COVID-19-related symptoms.Materials and methods:The information on non-critical COVID-19 high-frequency Chinese medicines in the diagnosis and treatment of COVID-19 was obtained by the TCM inheritance support platform.Using network pharmacology and molecular docking technology,high-targeting Chinese medicines with good docking activity with COVID-19 receptors angiotensin-converting enzyme-II(ACE2),3CLpro and tyrosine-protein kinase receptor UFO(AXL)were obtained.A new prescription for non-critical COVID-19 was established by integrating high-frequency and high-targeting Chinese medicines.Rats with acute lung injury induced by lipopolysaccharide were used as the experimental model.The histopathological changes in the lungs of rats in each group were observed by hematoxylin-eosin staining.The lung coefficient of rats was measured.The levels of IL-6,TNF-α,and IL-1βin serum were detected by enzyme-linked immunosorbent assay.The mRNA and protein levels of ACE2 and AXL in lung tissue were detected by real-time quantitative polymerase chain reaction and western blot.Results:Through data mining,it was found that there were 39 high-frequency traditional Chinese medicines for non-critical COVID-19 in the diagnosis and treatment guidelines.According to network pharmacology and molecular docking,30 highly targeted traditional Chinese drugs for COVID-19 were found.The new prescriptions for non-critical COVID-19 were comprehensively obtained,including Glycyrrhizae Radix,Ephedra Herba,Amygdalus Communis Vas,Gypsum Fibrosum,Descurainiae Semen,Atractylodes Lancea,Scutellariae Radix,Amomum Tsao-Ko Crevostet,Forsythiae Fructus,Pogostemon cablin,Magnolia Officinalis.Compared with the LPS-induced lung injury model group,the medium dose of the new prescription group had significantly alleviated pathological changes in lung tissue,decreased lung coefficient,decreased contents of IL-6,TNF-αand IL-1β,and increased mRNA and protein expression of ACE2 and AXL(P<0.05).Conclusion:Based on data mining,network pharmacology and molecular docking technology,the new prescription for non-critical COVID-19 established by this method has an anti-inflammatory effect on rats with acute lung injury induced by lipopolysaccharide and can provide a reference for clinicians to alleviate the symptoms related to non-critical COVID-19.

General Situation of Traditional Chinese Medicine Identification Methods

Traditional Chinese medicines are the material basis for the treatment of diseases under theoretical direction, as well as the raw materials of traditional Chinese medicine decoction pieces and Chinese patent medicines. The quality of traditional Chinese medicine directly influences clinical efficacy. Therefore, the identification of traditional Chinese medicine is the responsibility of medicinal workers. The identification method develops from observation, tasting, smelling and listening to firing method and testing with water, and the construction of fingerprints of traditional Chinese medicines and molecular biological techniques. The development and evolution of traditional Chinese medicine identification methods was reviewed in this paper.

Exploring the molecular mechanism of Suoquan pill in the treatment of diabetic kidney disease based on network pharmacology,molecular docking,in vitro experiment

Background:Diabetic kidney disease(DKD)is a microvascular complication of diabetes mellitus and is the main cause of end-stage renal failure.Suoquan pills(SQP)has a variety of pharmacological activities and multiple therapeutic effects,and it is used clinically as a basic formula for the treatment of DKD.Methods:Public databases were used to identify SQP compounds and the potential targets of SQP and DKD.A drug-component-therapeutic target network was constructed.Protein-protein interaction network analysis,Gene Ontology functional analysis,and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were used to analyse the potential molecular mechanisms of SQP based on common targets of drugs and diseases.Molecular docking simulations were conducted to confirm the binding abity of the core compounds to key targets.The efficacy and predicted molecular mechanisms of SQP were validated using cell counting kit-8 assay,flow cytometry,and western blotting with HK-2 cells as a model.Results:Network pharmacology analysis showed that 26 compounds and 207 potential targets of SQP were involved in the treatment of DKD;boldine,denudatin B,pinocembrin,kaempferoid,and quercetin were considered core compounds,and epidermal growth factor receptor(EGFR)and proto-oncogene,non-receptor tyrosine kinase(SRC)were considered key targets.Gene Ontology enrichment analysis indicated that protein phosphorylation and negative regulation of apoptotic processes are important biological processes in the treatment of DKD by SQP.Molecular docking confirmed the excellent binding abilities of boldine,denudatin B,kaempferide,and quercetin to EGFR and SRC.The results of in vitro experiments showed that treatment with an ethanolic extract of SQP significantly protected HK-2 cells from high glucose-induced cell damage.In addition,the SQP ethanol extract inhibited the phosphorylation of EGFR and SRC,suppressed the apoptosis rate,and regulated apoptosis-related proteins in HK-2 cells under high glucose stress.Conclusion:This study systematically and intuitively illustrated the possible pharmacological mechanisms of SQP against DKD through multiple components,targets,and signalling pathways,especially the inhibition of EGFR and SRC phosphorylation and apoptosis.

Methodological exploration on the construction of a traditional Chinese medicine nursing expert consensus based on evidence--taking stroke as an example

Objective: To explore the methodology of the evidence-based expert consensus formulation process of traditional Chinese medicine(TCM) nursing taking stroke as an example.Methods: First, preliminary and comprehensive presentation of all stroke-related symptoms and corresponding TCM nursing techniques involved were revealed through bibliometric analysis. Then, selection of stroke symptoms and TCM nursing techniques for inclusion in the consensus was performed using an expert consultation method. Next, we determined the search strategy for a precise evidence search;conducted an evaluation of evidence quality and the grade of the evidence;and completed evidence extraction, evidence analysis, and evidence synthesis based on the included symptoms and TCM nursing techniques. The Delphi method was then applied to determine the strength of each recommendation and the choice of nursing care points by referring to the Grading of Recommendations, Assessment, Development, and Evaluations grid. Finally, we conducted an external expert validation of the Delphi results to form an expert consensus guideline.Results: Through the bibliometric analysis, 22 stroke symptoms and 18 TCM nursing techniques were identified in the literature. Then, after expert consultation, 22 symptoms and 111 pairs of symptoms combined with TCM nursing techniques were selected for the evidence search. Evidence integration yielded 10 stroke symptoms corresponding to 29 bodies of evidence;these 10 symptoms were retained through the Delphi consultation, and recommendation strength results for 26 recommendations were obtained. A total of 9 symptoms were further retained for expert external validation to form 24 recommendations, with a recommendation process score range of 7.64-9.99 points and a more scientific and standardized recommendation-formation process.Conclusion: Owing to the current limited conditions of evidence-based resources for TCM nursing, the present consensus-building process represents only a preliminary exploration of an evidence-based expert consensus for TCM nursing to provide a reference for a more scientific and standardized methodology.

Clinical distribution and molecular profiling on postoperative colorectal cancer patients with different traditional Chinese medicine syndromes

Background:Traditional Chinese medicine(TCM)syndrome,also named syndrome,are comprehensive and integral analyses of clinical information which helps to guide different individualized treatment prescriptions.Methods:Thirty healthy controls and 80 colorectal cancer(CRC)patients(including 33 Spleen Qi Deficiency syndrome,23 Dampness Heat syndrome,17 Blood Stasis syndrome and 7 other syndrome)were enrolled into this study.Human mRNAs were extracted from peripheral blood mononuclear cells.The gene expression for CRC patients with different TCM syndrome was determined by microarray and qRT-PCR.Results:Spleen Qi Deficiency,Dampness Heat and Blood Stasis were the most common syndromes in CRC patients.There is a significant difference was found in mRNA expression levels(especially for PIK3CA,STAT3,SOX9 and KDM5C)among Spleen Qi Deficiency,Dampness Heat and Blood Stasis syndrome groups.The higher mRNA levels of JNK1,TP53,MLH1,MSH6,PMS2,SOCS3,TCF7L2,FAM123B,PSAP,FBXW7,SALL4 and the lower expression of inflammatory cytokine IL-6 were found in Spleen Qi Deficiency group but not other syndrome types.The higher mRNA levels of KRAS,MUC16,EGFR,GRASP65,PIK3CA,MAPK7,CD24,STAT3,SLC11A1,Bcl-2,TXNDC17 and some inflammatory cytokines(IL-6,IL-23,TNF-a,CXCR4)were found in Dampness Heat group but not other syndrome types.Blood Stasis syndrome showed higher expression of SOX9,MLH1,MSH6,KDM5C,PCDH11X,PSAP and SALL4,and lower mRNA levels of PIK3CA,CD24,STAT3,CXCR4,TXNDC17 and TP53.The CRC patients with Dampness Heat syndrome might have a poor prognosis than other syndrome types.Conclusion:The identification of syndrome conditions had different impacts on CRC prognosis,and which might be related with different mRNA expression levels.Some oncogenes and pro-inflammatory cytokines were highly expressed in Dampness Heat group but not other syndrome types,suggesting that the CRC patients with Dampness Heat syndrome might have a poor prognosis.Our results prelimitarily uncovered the molecular basis of syndrome differences in CRC prognosis,a better understanding for TCM treatment of CRC.

Study on traditional Chinese medicine syndrome of esophageal cancer based on Delphi method

Esophageal cancer is one of the common malignant tumors in humans.Traditional Chinese medicine(TCM)has unique advantages in the treatment of esophageal cancer.However,the TCM syndrome classification of esophageal cancer is not standardized.This Delphi survey aimed to explore the TCM syndrome classification and symptom characteristics of esophageal cancer.Methods:Based on literature research,an expert consultation questionnaire was developed for the study of the TCM syndrome rules of esophageal cancer.Two rounds of questionnaire surveys were conducted among 62 experts across the country.Statistical description and statistical analysis of the mean,coefficient of variation,grade sum,and unimportant percentage of the retrieved data.TCM syndrome rules and diagnostic indicators for esophageal cancer after screening and sorting out the questionnaire items,convening experts to demonstrate.Results:62 valid questionnaires were collected,and the expert positive coefficient was 100%.The Kendall's coefficient of concordance W of the first and second rounds are 0.232 and 0.2334 respectively.In addition,the Kendall's coefficient of concordance W of the second round has been improved compared with the first round,suggesting that experts have a better degree of coordination on the importance of indicators.The common TCM syndromes of esophageal cancer are obtained:"liver-stomach disharmony,phlegm and qi obstruction syndrome","liver and spleen disorders,phlegm accumulating with stagnation syndrome","deficiency of liver and kidney yin,stubborn blood syndrome","deficiency of spleen and kidney yang,stubborn blood syndrome".Conclusion:The TCM syndrome indicators of esophageal cancer has been established.It provides a basis for the standardized research of TCM syndrome diagnosis of esophageal cancer,which is of positive significance for improving the level of clinical diagnosis and treatment.

Discussion on the Quality Evaluation Method of Traditional Chinese Medicine Compound Preparations

As an important representative of the modernization of the Chinese medicine industry,traditional Chinese medicine(TCM)compound preparations are an indispensable part of the development of TCM.The complex ingredients and unclear action mechanism of TCM compound preparations restrict the development of TCM.In line with this problem,the modern TCM research has made extensive remarkable achievements.From the single indicator in the past to multiple indicator,the research on the combination of TCM fingerprints and pharmacodynamics also has made great progress.The introduction of quality evaluation methods such as the"quantitative analysis of multi-components by a single marker","dose-effect"indicator,"Bioactive Equivalent Combinatorial Components"(BECCs)and TCM quality markers have brought new ideas for quality control of TCM compound preparations.

Construction of Complex Intervention in Traditional Chinese Medicine (TCM): A Preliminary Methodological Study Based on Text Mining and Interviewing Method

Aim: To explore and analyze the feasibility of establishing a program of complex intervention in Traditional Chinese Medicine (TCM) based on Text Mining and Interviewing method. Methods: According to MRC, Constructing the program of complex intervention in TCM by Text Mining and Interviewing method should include 4 steps: 1) establishment of interview framework via normalization of extraction of ancient documents and Effectiveness of collection of modern periodical literatures;2) materialization of interview outline based on Focus Group Interview;3) rudimentary construction of complex intervention program based on Semi-structured Interview;4) evaluation of curative effect of complex intervention. Conclusions: It is feasible and significative to establish a program of complex intervention in TCM based on Text Mining and Interviewing method.

Combined effect of Traditional Chinese Medicine decoction and low-molecular-weight heparin calcium on the postoperative deep venous thrombosis in patients with lower limb fracture

OBJECTIVE: To investigate the combined effect of Traditional Chinese Medicine(TCM) decoction and low-molecular-weight heparin calcium on deep vein thrombosis(DVT) induced by surgery in patients with lower limb fracture.METHODS: Totally 86 hospitalized patients with DVT after surgery of lower limb fracture between September 2012 and January 2015 were recruited and randomly divided into control group and observation group, 43 cases in each group. The patients in the control group were treated with subcutaneous injection of low-molecular-weight heparin calcium, and those in the observation group were additionally given Danshen Injection and TCM decoction. The differences between two groups in occurrence rate, medication time, therapeutic effects,recurrence rate of thrombosis, activated partial thromboplastin time(APTT), and prothrombin time(PT) were compared.RESULTS: The occurrence rate of DVT in observation group(4.65%, 2/43) was lower than that in control group(27.91%,12/43)(P<0.05). The medication time of observation group was(6.15±2.94) d, shorter than(9.76±3.12) d in the control group(P<0.05). In observation group, 2 cases of DVT were cured(2/2); in the control group, 9 cases presented therapeutic effects and the total effective rate was 75.00%(9/12). The improvement of APTT and PT in the observation group was better than that in the control group(P<0.05).CONCLUSION: Integrative TCM decoction plus low-molecularweight heparin calcium is superior to applicaton of low-molecularweight heparin calcium alone in reducing and treating DVT in the postoperative patients with lower limb fracture.

Analysis on the medication and methods of ancient traditional Chinese medicine in the prevention of plague

Background:To analyze the medication and methods of ancient traditional Chinese medicine for the prevention of plague and seasonal pathogen in order to reduce the spread of infectious diseases such as flu and protect the susceptible people.Methods:Search the medication and the methods for preventing plague and seasonal pathogen in the Chinese Medical Code,classify and summarize the methods,perform frequency analysis and efficacy cluster analysis on Chinese medicines of involved medicines.Results:The methods of preventing ancient plague were as follows:burning and fumigating Chinese medicines,medicating nostrils,wearing bags filled with Chinese medicines,oral Chinese medicines and applying medicines to skin.The 3 main ways for drugs to work were external medication,nostril inhalation,and internal absorption.The Chinese medicines for preventing plague are mostly warm in nature and pungent in flavour,belonging to the spleen,stomach,liver,lung meridian.The 3 categories of drugs obtained by cluster analysis are C1:drugs for facilitating lung,relieving exterior and dissipating cold,such as Cangzhu(Atractylodis rhizoma)-Qianghuo(Notopterygh rhizoma et radix)-Xixin(Asari radix et rhizoma)-Baizhi(Angelicae dahuricae radix)-Fangfeng(Saposhnikoviae radix)-Zaojiao(Gleditsiae sinensis fructus);C2:drugs for promoting blood circulation and removing blood stasis,such as Xionghuang(Realgar)-Zhusha(Cinnabaris)-Dahuang(Rhei radix rhizoma)-Chuanxiong(Chuanxiong rhizoma)-Jiegeng(Platycodonis radix);C3:drugs for replenishing Qi(it is the most basic element that constitutes human body and maintains life activities in traditional Chinese medicine)and tonifying the spleen,such as Gancao(Glycyrrhizae radix et rhizoma)-Dazao(Jujubae fructus)-Ganjiang(Zingiberis rhizoma)-Rougui(Cinnamomi cortex)-Gansong(Nardostachyos radix et rhizoma)-Chenpi(Citri reticulatae pericarpium)-Baizhu(Atractylodis macrocephalae rhizoma).Conclusion:Through analysis the medication and methods of ancient traditional Chinese medicine for the prevention of plague,we can provide reference for modern research from the original plague prevention methods,and make an important contribution to the use of traditional Chinese medicine in the prevention and treatment of epidemic infectious diseases in modern clinic.

Construction of nursing standard of integrated traditional Chinese and Western medicine for patients with COVID‑19 (mild and common) in Beijing based on Delphi method

Objective:The objective of this study is to establish a nursing standard of integrated traditional Chinese and Western medicine for patients with COVID‑19(mild and common)in Beijing,to provide reference for clinical nursing of patients with COVID‑19(mild and common).Methods:Through online communication meeting with nurses who are in the frontline of anti‑epidemic,clinical investigation,literature research,and expert demonstration meeting are carried out to prepare the draft of the standard,and the Delphi method is applied to determine the standard of integrated traditional Chinese and Western medicine care for patients with COVID‑19(mild and common)in Beijing.Results:The nursing standard of integrated traditional Chinese and Western medicine for patients with COVID‑19(mild and common)was established,which included 5 first‑level indicators,14 second-level indicators and 60 third‑level indicators.After two rounds of Delphi method,the positive coefficients of experts were 96%and 83%,the authoritative coefficients of experts were 0.89 and 0.91,and the Kendall’s coefficient of concordance(W)of experts were 0.12,0.09,0.10,0.13(P<0.05)and 0.44,0.43,0.37,0.39(P<0.05).Conclusion:The standard of integrated traditional Chinese and Western medicine nursing for patients with COVID‑19(mild and common)in Beijing constructed by the Delphi method is scientific and practical,which provides a reference for clinical application of integrated traditional Chinese and Western medicine nursing to fight against COVID‑19 infection.

Analysis on the traditional Chinese medicine syndromes and Six-Meridian Pattern Identification of coronavirus disease 2019

Zhongjing Zhang’s Shang Han Lun(Treatise on Cold-induced Diseases,an ancient Chinese medical book written by Zhongjing Zhang in the Eastern Han Dynasty)was pioneering to conduct the Six-Meridian Pattern Identification,which provided later generations with a theoretical basis for the treatment of Exogenous Febrile Diseases.The coronavirus disease 2019 belongs to the category of“Pestilence”(the general term for virulent infectious epidemic diseases)in“Febrile Diseases”(the general term for acute externally contracted diseases caused by Warm Pathogens,with fever as the chief manifestation,also known as Warm Diseases)and the treatment of coronavirus disease 2019 is mostly based on the Triple Energizer Pattern Identification(the a categorization of Pattern Identification according to the theory of the Triple Energizer)or Defense,Qi,Nutrient and Blood Pattern Identification(the categorization of Febrile Diseases Pattern Identification according to the theory of Defense,Qi,Nutrient and Blood which indicates the stages of the clinical course with corresponding pathological changes).Although the theory of Cold-induced Diseases(the condition caused by Cold,manifested as chills and fever,absence of sweating,headache and floating-tense pulse)and the theory of Febrile Disease seem to be entirely distinct with each other,Zhongjing Zhang’s theory contained Triple Energizer Pattern Identification or Defense,Qi,Nutrient and Blood Pattern Identification,and Triple Energizer Pattern Identification or Defense Qi,Nutrient and Blood Pattern Identification also contained Zhongjing Zhang’s Six-Meridian Pattern Identification(the categorization of Pattern Identification according to the theory of the Six Meridians,applied to the diagnosis of acute Febrile Diseases at different stages,and also useful for the Pattern Identification of other diseases).The basic principles and therapeutic methods of Cold-induced Diseases and Febrile Diseases are intertwined.Therefore,this paper will combine the two theories to analyze the traditional Chinese medicine syndromes of coronavirus disease 2019,and try to use Six-Meridian Pattern Identification to guide the treatment of this disease.

Safety Research in Traditional Chinese Medicine: Methods, Applications, and Outlook

Traditional Chinese medicine (TCM) is a medical system that has collected and summarized abundant clinical experience over its long history of more than 2000 years. However, the frequent occurrence of TCM-induced adverse reactions has hindered the modernization and internationalization of TCM, while attracting increasing attention from around the world. Unlike chemical drugs and biological agents, the difficulties involved in research on the toxicity and safety of TCM mainly include the complexity of its components and the unpredictability of drug–body interactions. Much of TCM, which has overall therapeutic effects, has the typical mechanisms of multiple components, multiple pathways, and multiple targets. While considering the gradualness and unpredictability of TCM toxicity, the ambiguity of toxicants and safe dosage, and individual differences during long-term TCM administration, we have systematically established key techniques for the toxicity assessment of TCM. These techniques mainly include TCM toxicity discovery in an early phase, based on a combination of drug toxicology genomics and metabolomics;methods to identify dose–toxicity relationships in TCM;and integrated techniques for the exploration of TCM interactions, such as fast-screening tests based on drug-metabolizing enzymes and receptor pathways. In particular, we have developed a new technical system for TCM safety evaluation using molecular toxicology, which has been validated well in research on TCM compatibility contraindication, quality control, and allergen discovery. The application of this key technical platform is introduced here in detail. This application includes model organisms, toxicant biomarkers, a magnetic suspension technique, and the application of network toxicology and computational toxicology in research on the toxicity of Fructus toosendan, Semen cassiae, Polygonum multiflorum, and Fructus psoraleae.

Screening of traditional Chinese medicine monomers as ribonucleotide reductase M2 inhibitors for tumor treatment

BACKGROUND Ribonucleotide reductase(RR)is a key enzyme in tumor proliferation,especially its subunit-RRM2.Although there are multiple therapeutics for tumors,they all have certain limitations.Given their advantages,traditional Chinese medicine(TCM)monomers have become an important source of anti-tumor drugs.Therefore,screening and analysis of TCM monomers with RRM2 inhibition can provide a reference for further anti-tumor drug development.AIM To screen and analyze potential anti-tumor TCM monomers with a good binding capacity to RRM2.METHODS The Gene Expression Profiling Interactive Analysis database was used to analyze the level of RRM2 gene expression in normal and tumor tissues as well as RRM2's effect on the overall survival rate of tumor patients.TCM monomers that potentially act on RRM2 were screened via literature mining.Using AutoDock software,the screened monomers were docked with the RRM2 protein.RESULTS The expression of RRM2 mRNA in multiple tumor tissues was significantly higher than that in normal tissues,and it was negatively correlated with the overall survival rate of patients with the majority of tumor types.Through literature mining,we discovered that berberine,ursolic acid,gambogic acid,cinobufagin,quercetin,daphnetin,and osalmide have inhibitory effects on RRM2.The results of molecular docking identified that the above TCM monomers have a strong binding capacity with RRM2 protein,which mainly interacted through hydrogen bonds and hydrophobic force.The main binding sites were Arg330,Tyr323,Ser263,and Met350.CONCLUSION RRM2 is an important tumor therapeutic target.The TCM monomers screened have a good binding capacity with the RRM2 protein.