Research on the development methodology for clinical practice guidelines for organic integration of traditional Chinese medicine and Western medicine

Integrated traditional Chinese medicine(TCM)and Western medicine(WM)is a new medical science grounded in the knowledge bases of both TCM and WM,which then forms a unique modern medical system in China.Integrated TCM and WM has a long history in China,and has made important achievements in the process of clinical diagnosis and treatment.However,the methodological defects in currently published clinical practice guidelines(CPGs)limit its development.The organic integration of TCM and WM is a deeper integration of TCM and WM.To realize the progression of"integration"to"organic integration",a targeted and standardized guideline development methodology is needed.Therefore,the purpose of this study is to establish a standardized development procedure for clinical practice guidelines for the organic integration of TCM and WM to promote the systematic integration of TCM and WM research results into clinical practice guidelines in order to achieve optimal results as the whole is greater than the sum of the parts.

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.

HHO optimized support vector machine classifier for traditional Chinese medicine syndrome differentiation of diabetic retinopathy

AIM:To develop a classifier for traditional Chinese medicine(TCM)syndrome differentiation of diabetic retinopathy(DR),using optimized machine learning algorithms,which can provide the basis for TCM objective and intelligent syndrome differentiation.METHODS:Collated data on real-world DR cases were collected.A variety of machine learning methods were used to construct TCM syndrome classification model,and the best performance was selected as the basic model.Genetic Algorithm(GA)was used for feature selection to obtain the optimal feature combination.Harris Hawk Optimization(HHO)was used for parameter optimization,and a classification model based on feature selection and parameter optimization was constructed.The performance of the model was compared with other optimization algorithms.The models were evaluated with accuracy,precision,recall,and F1 score as indicators.RESULTS:Data on 970 cases that met screening requirements were collected.Support Vector Machine(SVM)was the best basic classification model.The accuracy rate of the model was 82.05%,the precision rate was 82.34%,the recall rate was 81.81%,and the F1 value was 81.76%.After GA screening,the optimal feature combination contained 37 feature values,which was consistent with TCM clinical practice.The model based on optimal combination and SVM(GA_SVM)had an accuracy improvement of 1.92%compared to the basic classifier.SVM model based on HHO and GA optimization(HHO_GA_SVM)had the best performance and convergence speed compared with other optimization algorithms.Compared with the basic classification model,the accuracy was improved by 3.51%.CONCLUSION:HHO and GA optimization can improve the model performance of SVM in TCM syndrome differentiation of DR.It provides a new method and research idea for TCM intelligent assisted syndrome differentiation.

Integration of traditional,complementary,and alternative medicine with modern biomedicine:the scientization,evidence,and challenges for integration of traditional Chinese medicine

Traditional medicine has garnered significant global recognition,with an estimated 80%of the global population using it.Therefore,it is essential to fully understand the integration of traditional medicines into current healthcare systems.This review aims to provide a comprehensive overview of the standard process to modernize traditional medicine scientifically in the context of modern biomedicine,further termed here as“scientization”.Specifically,we aim to summarize the advancements made in understanding the efficacy,effectiveness,and underlying mechanisms of herbal medicine.We also examined the transition from experience-to evidence-based medicine during acupuncture.Furthermore,we explore the development of universal safety and quality control standards.Finally,we discuss international trade and export markets for Chinese medical products.The development and integration of traditional medicine have allowed it to further improve human health,resulting in a more comprehensive health solution for the global population.

From traditional Chinese medicine formulations to effective anticancer agents:Insights from Calculus bovis

This editorial examines the therapeutic potential of traditional Chinese medicine(TCM)for aggressive cancers,particularly liver cancer.It highlights the study by Huang et al,which shows how Calculus bovis,a component of the TCM Pien Tze Huang,suppresses liver cancer by inhibiting M2 macrophage polarization via the Wnt/β-catenin pathway.This research emphasizes the importance of transitioning from effective TCM formulations to isolating active components and understanding their mechanisms.While the study provides valuable insights,it primarily focuses on the Wnt/β-catenin pathway and does not delve deeply into the mechanisms of individual components.Future research should aim to comprehensively study these components,explore their interactions,and validate findings through clinical trials.This approach will integrate traditional wisdom with modern scientific validation,advancing the development of innovative cancer treatments based on TCM formulations.

Five commonly used traditional Chinese medicine formulas in the treatment of ulcerative colitis:A network meta-analysis

BACKGROUND Currently,traditional Chinese medicine(TCM)formulas are commonly being used as adjunctive therapy for ulcerative colitis in China.Network meta-analysis,a quantitative and comprehensive analytical method,can systematically compare the effects of different adjunctive treatment options for ulcerative colitis,providing scientific evidence for clinical decision-making.AIM To evaluate the clinical efficacy and safety of commonly used TCM for the treatment of ulcerative colitis(UC)in clinical practice through a network metaanalysis.METHODS Clinical randomized controlled trials of these TCM formulas used for the adjuvant treatment of UC were searched from the establishment of the databases to July 1,2022.Studies that met the inclusion criteria were screened and evaluated for literature quality and risk of bias according to the Cochrane 5.1 standard.The methodological quality of the studies was assessed using ReviewManager(RevMan)5.4,and a funnel plot was constructed to test for publication bias.ADDIS 1.16 statistical software was used to perform statistical analysis of the treatment measures and derive the network relationship and ranking diagrams of the various intervention measures.RESULTS A total of 64 randomized controlled trials involving 5456 patients with UC were included in this study.The adjuvant treatment of UC using five TCM formulations was able to improve the clinical outcome of the patients.Adjuvant treatment with Baitouweng decoction(BTWT)showed a significant effect[mean difference=36.22,95%confidence interval(CI):7.63 to 65.76].For the reduction of tumor necrosis factor in patients with UC,adjunctive therapy with BTWT(mean difference=−9.55,95%CI:−17.89 to−1.41),Shenlingbaizhu powder[SLBZS;odds ratio(OR)=0.19,95%CI:0.08 to 0.39],and Shaoyao decoction(OR=−23.02,95%CI:−33.64 to−13.14)was effective.Shaoyao decoction was more effective than BTWT(OR=0.12,95%CI:0.03 to 0.39),SLBZS(OR=0.19,95%CI:0.08 to 0.39),and Xi Lei powder(OR=0.34,95%CI:0.13 to 0.81)in reducing tumor necrosis factor and the recurrence rate of UC.CONCLUSION TCM combined with mesalazine is more effective than mesalazine alone in the treatment of UC.

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.

Challenges in integrating traditional Chinese medicine and gut microbiota research for insomnia treatment

The gut microbiome is an extensive variety of bacteria with a range of metabolic capabilities that can be pathogenic,beneficial,or opportunistic.Changes in the gut microbiota's composition can affect the link between gut integrity and host health as well as cause disruptions to numerous neurological systems.The second most prevalent mental health problem,insomnia has a negative social and economic impact.Currently,it is becoming increasingly obvious how crucial it is to preserve the delicate balance of gut microbiota to treat illness-related symptoms like insomnia.Although traditional Chinese medicine has proposed an effective strategy against insomnia through gut microbiota alteration in animal models,studies in human models are limited.This decreases the predictive value of the studies in terms of human outcomes.This editorial places an emphasis on cultural sensitivity rather than scientific reasoning that promotes the use of traditional Chinese medicine(TCM).We aim to emphasize the concern that promoting TCM could divert resources from conventional medical research,leading to suboptimal care.

Exploring the transformative impact of traditional Chinese medicine on depression:Insights from animal models

Depression,a prevalent and complex mental health condition,presents a significant global health burden.Depression is one of the most frequent mental disorders;deaths from it account for 14.3%of people worldwide.In recent years,the integration of complementary and alternative medicine,including traditional Chinese medicine(TCM),has gained attention as a potential avenue for addressing depression.This comprehensive review critically assesses the efficacy of TCM interventions in alleviating depressive symptoms.An in-depth look at different research studies,clinical trials,and meta-analyses is used in this review to look into how TCM practices like herbal formulations,acupuncture,and mindbody practices work.The review looks at the quality of the evidence,the rigor of the methods,and any possible flaws in the current studies.This gives us an idea of where TCM stands right now in terms of treating depression.This comprehensive review aims to assess the efficacy of TCM interventions in alleviating depressive symptoms.In order to learn more about their possible healing effects,the study also looks into how different types of TCM work,such as herbal formulas,acupuncture,and mind-body practices.

Feasibility and Challenges of Interactive AI for Traditional Chinese Medicine: An Example of ChatGPT

As a complementary and alternative medicine(CAM),traditional Chinese medicine(TCM)represents an established medical system with a rich history and abundant clinical experience.TCM is an empirical medicine,the process of which is analogous to ChatGPT’s learning and development model.In TCM,inquiry is a relatively objective way of traditional syndrome differentiation.Although various artificial intelligence systems related to TCM consultation exist,their interactive abilities remain limited.The study standardized the primary complaint and instructed ChatGPT to simulate a TCM practitioner,conducting three comprehensive inquiry tests.The results yielded unexpected conclusions,revealing that ChatGPT could simulate a TCM practitioner’s inquiry with patients,confirming its potential in the field of TCM inquiry.However,current applications still pose certain limitations and risks.Hence,to integrate ChatGPT-like language models with traditional TCM AI to establish an associative mode that can facilitate TCM diagnosis and treatment with more convenience and standardization is crucial,yet at the same time,it should be treated very carefully.

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.

Guidelines for application of high-content screening in traditional Chinese medicine:concept,equipment,and troubleshooting

High-content screening(HCS)technology combines automated high-speed imaging hardware and single-cell quantitative analysis.It can greatly accelerate data acquisition in cellular fluorescence imaging and is a powerful research technique in traditional Chinese medicine(TCM).An increasing number of laboratories and platforms,including TCM laboratories,have begun utilizing HCS systems.However,this technology is still in its infancy in TCM research and there is a lack of sufficient experience with the associated concepts,instrument configurations,and analysis methods.To improve the understanding of HCS among researchers in the field of TCM,this paper summarizes the concept of HCS,software and hardware configuration,the overall research process,as well as common problems and related solutions of HCS in TCM research based on our team’s previous research experience,providing several research examples and an outlook on future perspectives,aiming to provide a technical guide for HCS in TCM research.

Effect of the traditional Chinese medicine fumigation combined with the meibomian gland squeezer for treatment of dry eye associated with meibomian gland dysfunction

Background:To observe the effect of traditional Chinese medicine fumigation combined with the meibomian gland squeezer for the treatment of dry eye associated with meibomian gland dysfunction(MGD).Methods:This is a randomized,controlled,non-masked,single-center study.Seventy-four cases(74 eyes)of dry eye associated with MGD were randomly divided into two groups.Thirty-seven patients were chosen as the treatment group was treated by the traditional Chinese medicine fumigation 3 times a week combined with the meibomian gland squeezer once a week for one month.The other 37 cases were sorted as the control group and only treated with the meibomian gland squeezer once a week for one month.Both groups received the primary treatment for 1 month,including Tobradex eye ointment once a day and 0.1%sodium hyaluronate eye drops 4-6 times daily.Patients were evaluated at baseline and 2-week and 1-month visits for the ocular symptom scores,international ocular surface disease index(OSDI),fluorescein tear break-up time(TBUT),corneal fluorescein staining test(CFS),Schirmer I test,meibum quality and meibum expressibility.Results:Sixty-seven patients were followed in the study,and the mean age was 57(±12.6)years.Thirty-three patients(11 males)in the treatment group and 34 patients(8 males)in the control group were followed in the study,and the mean age of the two groups was 45.36±15.02 years and 43.68±13.43 years,respectively.Before treatment,there was no significant difference between the two groups in gender,age,ocular symptom scores,OSDI,TBUT,CFS,Schirmer I test,meibum quality,and meibum expressibility(P>0.05).Compared with baseline,the 2 groups had different degrees of improvement in the ocular symptom scores,OSDI,TBUT,CFS,meibum quality,and meibum expressibility at the 2-week and 1-month visits(P<0.05),and the treatment group showed a more significant improvement in the ocular symptom scores,OSDI,TBUT,CFS,meibum quality and meibum expressibility compared with the control group(P<0.05).In addition,no serious adverse events were observed in each group.Conclusions:The traditional Chinese medicine fumigation combined with the meibomian gland squeezer may be safe,effective,and helpful for the treatment of dry eye associated with MGD.

Screening and immune infiltration analysis of ferroptosis-related genes in pancreatic cancer with predictions for traditional Chinese medicine treatments

Background:This study aims to explore the involvement of ferroptosis-related genes and pathogenesis in pancreatic cancer and predict potential therapeutic interventions using Traditional Chinese Medicine(TCM).Methods:We utilized gene expression datasets,ferroptosis upregulated genes and applied machine learning algorithms,including LASSO and SVM-RFE,to identify key ferroptosis-related genes in pancreatic cancer.Perform Gene Ontology,Kyoto Encyclopedia of Genes and Genomes,and Disease Ontology enrichment analysis,immune infiltration analysis and correlation analysis between immune infiltrating cells and characteristic genes on differentially expressed genes using the R software package.Retrieve potential traditional Chinese medicine for targeted ferroptosis gene therapy for pancreatic cancer through Coremine and Herb databases.Results:Seventeen feature genes were identified,with significant implications for immune cell infiltration in pancreatic cancer.The results of immune cell infiltration analysis showed that B cells naive,B cells memory,T cells regulatory,and M0 macrophages were significantly upregulated in pancreatic cancer patients;Mast cells resting were significantly downregulated.Chinese herbal medicines such as ginkgo,turmeric,ginseng,Codonopsis pilosula,Zedoary turmeric,deer tendons,senna leaves,Guanmu Tong,Huangqi,and Banzhilian are potential drugs for targeted ferroptosis gene therapy for pancreatic cancer.Conclusion:TIMP1 emerged as a key gene,with several TCM herbs predicted to modulate its expression,offering new avenues for treatment.

Exploration of Teaching Reform of TCM Dispensing Technology in Higher Vocational Colleges Based on Traditional Chinese Medicine Skills Competition

This paper aims to thoroughly explore the teaching reform of Traditional Chinese Medicine(TCM)dispensing technology in higher vocational colleges,with a focus on the Traditional Chinese Medicine Skills Competition.By analyzing the current teaching status and main challenges of TCM dispensing technology,and aligning with the requirements of the skills competition,a series of detailed and practical teaching reform measures are proposed.These measures are designed to comprehensively improve the teaching quality of TCM dispensing technology in higher vocational colleges,enhance students’practical skills and professional qualities,and ultimately meet the demand for high-quality,skilled talents in the field of TCM.

Yinqiao Sanhuang Paste Combined with Traditional Chinese Medicine Plaster for the Intervention of Drug Rash Induced by Targeted Therapy in Lung Cancer

Objective:To observe the efficacy and safety of Yinqiao Sanhuang Paste combined with traditional Chinese medicine plaster in treating drug rash caused by targeted therapy in lung cancer.Methods:A total of 100 lung cancer patients treated at our hospital from January 2021 to December 2023 were selected and randomly divided into an observation group and a control group,with 50 patients in each group.The control group received conventional medication,while the observation group was treated with Yinqiao Sanhuang Paste combined with traditional Chinese medicine plaster.The clinical symptom improvement and adverse reactions in both groups were observed.Results:The effective rate in the control group was 80.00%,while in the observation group,it was 96.00%,with a statistically significant difference between the two groups(P<0.05).The onset time,duration,and significant effect time in the control group were(2.41±0.29)days,(4.42±1.21)days,and(5.45±0.29)days,respectively;in the observation group,they were(2.44±0.21)days,(4.28±1.11)days,and(5.57±1.01)days,respectively.There was no statistically significant difference in the total onset time and total duration between the two groups(P>0.05).The incidence of adverse reactions in the control group was 28.00%,higher than the observation group’s 10.00%(P<0.05).Conclusion:Yinqiao Sanhuang Paste combined with traditional Chinese medicine plaster can effectively reduce the symptoms of drug rash induced by targeted therapy in lung cancer and lower the incidence of adverse reactions,indicating good clinical application value.

Research Progress of Traditional Chinese Medicine External Treatment for Cancer Pain

Cancer pain,as a common complication in patients with malignant tumors,is regarded as the fifth vital sign.The involvement of traditional Chinese medicine(TCM)in the treatment of malignant tumors has become a distinctive feature of oncology treatment in China.It is also an important component of cancer pain management.TCM analgesic treatments include various methods,such as internal medicine and external therapies.External analgesic therapies,in particular,are significant methods in TCM pain management and offer both local treatment and systemic regulation.These methods are simple,easy to perform,and non-invasive.They can enhance pain relief effects while reducing the difficulty of oral medication intake and avoiding adverse gastrointestinal reactions,providing new perspectives and approaches for cancer pain treatment with broad development prospects.This article provides a review of the external TCM therapies for cancer pain to share with peers in the field.

A Brief Discussion on the Construction of Practical Teaching System for the Traditional Chinese Medicine Resources and Development Major

China’s traditional medicine,science,and technology industry has great development potential.However,there is a problem of insufficient practitioners in the current industrial development.At the same time,the capabilities of existing practitioners do not match the demand standards.Therefore,it is necessary to actively promote the education of resources and development in Central Asia.As an institution for cultivating talents,colleges and universities must establish a practical teaching system for cultivating talents.Based on the requirements put forward by China in education,this article studies the development status of the traditional Chinese medicine resources and development major,determines the talent training goals,starts from the practical teaching aspect,and locates the industry’s requirements for the capabilities of personnel in the field of traditional Chinese medicine.It also puts forward the overall idea of the construction of the practical teaching system,summarizes the reform content of the practical teaching system,and lastly provides the specific path of the reform.

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.

Bio-soft matter derived from traditional Chinese medicine:Characterizations of hierarchical structure,assembly mechanism,and beyond

Structural and functional explorations on bio-soft matter such as micelles,vesicles,nanoparticles,aggregates or polymers derived from traditional Chinese medicine(TCM)has emerged as a new topic in the field of TCM.The discovery of such cross-scaled bio-soft matter may provide a unique perspective for unraveling the new effective material basis of TCM as well as developing innovative medicine and biomaterials.Despite the rapid rise of TCM-derived bio-soft matter,their hierarchical structure and assembly mechanism must be unambiguously probed for a further in-depth understanding of their pharmacological activity.In this review,the current emerged TCM-derived bio-soft matter assembled from either small molecules or macromolecules is introduced,and particularly the unambiguous elucidation of their hierarchical structure and assembly mechanism with combined electron microscopic and spectroscopic techniques is depicted.The pros and cons of each technique are also discussed.The future challenges and perspective of TCM-derived bio-soft matter are outlined,particularly the requirement for their precise in situ structural determination is highlighted.