Chinese medicinal materials are the material basis for the inheritance and development of traditional Chinese medicine.Intellectual property protection for the entire industrial chain of traditional Chinese medicinal ...Chinese medicinal materials are the material basis for the inheritance and development of traditional Chinese medicine.Intellectual property protection for the entire industrial chain of traditional Chinese medicinal materials promotes the inheritance and innovation of traditional Chinese medicine,and contributes to rural revitalization and the building of an agricultural power.This article provides an overview of the traditional Chinese medicinal materials in Hubei Province.It conducts a detailed investigation into the intellectual property resources of the province s traditional Chinese medicinal materials from aspects such as traditional knowledge,genetic resources,new plant varieties,patents,geographical indications,and trademarks.It analyzes the eight main problems in the protection,inheritance,and innovative development of intellectual property rights,and puts forward corresponding suggestions,such as establishing an intellectual property rights rule system for specific fields of traditional Chinese medicinal materials,promoting the"Famous Brand Action in Rural Areas",and building a"Hubei s Sixteen Superior Herbs"cluster of traditional Chinese medicinal materials.展开更多
Does traditional Chinese economic thought possess genuine analytical rigor?This question lies at the heart of any serious evaluation of its theoretical value and historical significance.It also matters for understandi...Does traditional Chinese economic thought possess genuine analytical rigor?This question lies at the heart of any serious evaluation of its theoretical value and historical significance.It also matters for understanding how best to preserve,build on its remarkable achievements,and develop its intellectual legacy.Critics such as Schumpeter and Taylor have long argued that the economic reasoning found in ancient China cannot compare with that of classical Greece or medieval Europe.Yet this view often reflects the narrow assumptions of mainstream economics,defining analysis almost entirely in terms of market exchange.As a result,it tends to overlook traditions built around statecraft,governance,and the management of economic order.A careful re-examination and Sino-Western comparative analysis of key thinkers-including Mencius,Guanzi,and Sima Qian-tells a different story.Rooted in China’s distinctive cultural and philosophical heritage,traditional Chinese economic thought not only contains the analytical dimensions(as defined by Schumpeter)but also displays a broader and more diverse set of economic reasoning.Notably,its systematic depth and intellectual precision were,in many respects,remarkably advanced.Therefore,advancing the construction of a Chinese school of economics in the new era under the framework of the“Second Integration”,i.e.,integrating the basic tenets of Marxism with China’s fine traditional culture,should,and indeed can draw essential insights from this analytical tradition.展开更多
The concept of geographical indication is similar to the idea of authentic medicinal herbs in traditional Chinese medicine. This paper examines the geographical indication (GI) resources of medicinal herbs in the Wuli...The concept of geographical indication is similar to the idea of authentic medicinal herbs in traditional Chinese medicine. This paper examines the geographical indication (GI) resources of medicinal herbs in the Wuling Mountain Area from various perspectives, including geographical indication products, geographical indication trademarks, China s geographical indication products mutually recognized and protected with the EU, geographical indication standards, and the exclusive geographical indication logo. It studies the regional public brand characteristics of Chinese authentic medicinal herbs, based on hometown of authentic Chinese medicinal herbs, advantageous regions of characteristic agricultural products, important agricultural cultural heritage, national famous and excellent new agricultural products, national characteristic agricultural products, geographical indication Chinese well-known trademarks, advantageous regions of characteristic agricultural products, and regional public brands of agricultural products. It analyzes the main problems in the protection of geographical indications and the creation of regional public brands, and proposes suggestions for building high-quality authentic medicinal herb bases, developing new quality productivity in the authentic medicinal herb industry, implementing regional brand strategies for authentic medicinal herbs, constructing a new development pattern of dual circulation authentic medicinal herbs, etc.展开更多
Objective To systematically characterize the developmental trajectory and interdisciplinary integration of intelligent diagnosis in traditional Chinese medicine(TCM)through quantitative topic evolution analysis,we add...Objective To systematically characterize the developmental trajectory and interdisciplinary integration of intelligent diagnosis in traditional Chinese medicine(TCM)through quantitative topic evolution analysis,we addressed the fragmentation of existing research and clarified the long-term research structure and evolutionary patterns of the field.Methods A topic evolution analysis was performed on Chinese-language literature pertaining to intelligent diagnosis in TCM.Publications were retrieved from the China National Knowledge Infrastructure(CNKI),Wanfang Data,and China Science and Technology Journal Database(VIP),covering the period from database inception to July 3,2025.A hybrid segmentation approach,based on cumulative publication growth trends and inflection point detection,was applied to divide the research timeline into distinct stages.Subsequently,the latent Dirichlet allocation(LDA)model was used to extract research topics,followed by alignment and evolutionary analysis of topics across different stages.Results A total of 3919 publications published between 2003 and 2025 were included,and the research trajectory was divided into five stages based on data-driven breakpoint detection.The field exhibited a clear evolutionary shift from early rule-based systems and tonguepulse image and signal analysis(2006–2010),to machine-learning-based syndrome and prescription modeling(2011–2015),followed by deep-learning-driven pattern recognition and formula association(2016–2020).Since 2021,research has increasingly emphasized knowledge-graph construction,multimodal integration,and intelligent clinical decision-support systems,with recent studies(2024–2025)showing the emergence of large language models and agent-based diagnostic frameworks.Topic evolution analysis further revealed sustained cross-stage continuity in syndrome modeling and prescription association analysis,alongside the progressive consolidation of integrated intelligent diagnostic platforms.Conclusion By identifying key technological transitions and persistent core research themes,our findings offer a structured reference framework for the design of intelligent diagnostic systems,the construction of knowledge-driven clinical decision-support tools,and the alignment of AI models with TCM diagnostic logic.Importantly,the stage-based evolutionary insights derived from this analysis can inform future methodological choices,improve model interpretability and clinical applicability,and support the translation of intelligent TCM diagnosis from experimental research to real-world clinical practice.展开更多
The disruption of gut microbiota and excessive immune responses are commonly observed in various respiratory conditions,including Corona virus disease 2019(COVID-19).As supported by the theories of“treating the lung ...The disruption of gut microbiota and excessive immune responses are commonly observed in various respiratory conditions,including Corona virus disease 2019(COVID-19).As supported by the theories of“treating the lung diseases from the large intestine(从肠治肺)”and“simultaneous treatment of lung and large intestine(肺肠同治)”,TCM(traditional Chinese medicine)has made significant contributions to the management of pneumonia,acute respiratory distress syndrome(ARDS),chronic obstructive pulmonary disease(COPD),asthma,and other respiratory conditions,demonstrating remarkable clinical effectiveness.Thus,our review sought to investigate the underlying material basis and scientific implications of this theory,specifically focusing on the regulation of gut microbiota,thus providing new ideas for clinical treatment.We reviewed the therapeutic efficacy of TCM in treating lung diseases using the“treating the lung diseases from the large intestine”and“simultaneous treatment of lung and large intestine”methods.The mechanisms of action(MOAs)of TCM were also summarized.TCM can protect the abundance and inhibit the translocation of intestinal microbiota caused by lung diseases,exhibiting significant anti-inflammatory roles,etc.Additionally,TCM can regulate metabolic process,e.g.,promoting the production of anti-inflammatory short-chain fatty acids(SCFAs).Meanwhile,Gut microbiota might be an important regulatory target for the therapeutic role of TCM to treat lung diseases.展开更多
Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish ...Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish a TCM-informed tool for early depression screening,thereby bridging traditional diagnostic principles with modern computational approaches.Methods The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1,2022 to October 1,2023,as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group.Videos of 3–10 s were captured using a Xiaomi Pad 5,and the TCM spirit and expressions were determined by TCM experts(at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions).Basic information,facial images,and interview information were collected through a portable TCM intelligent analysis and diagnosis device,and facial diagnosis features were extracted using the Open CV computer vision library technology.Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data,TCM spirit and expression features,and facial diagnosis feature parameters of the two groups,to compare the differences in TCM spirit and expression and facial features.Five machine learning algorithms,including extreme gradient boosting(XGBoost),decision tree(DT),Bernoulli naive Bayes(BernoulliNB),support vector machine(SVM),and k-nearest neighbor(KNN)classification,were used to construct a depression recognition model based on the fusion of TCM spirit and expression features.The performance of the model was evaluated using metrics such as accuracy,precision,and the area under the receiver operating characteristic(ROC)curve(AUC).The model results were explained using the Shapley Additive exPlanations(SHAP).Results A total of 93 depression patients and 87 healthy individuals were ultimately included in this study.There was no statistically significant difference in the baseline characteristics between the two groups(P>0.05).The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows.(i)Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls(P<0.05),with characteristic features such as sad expressions,facial erythema,and changes in the lip color ranging from erythematous to cyanotic.(ii)Depressed patients exhibited significantly lower values in facial complexion L,lip L,and a values,and gloss index,but higher values in facial complexion a and b,lip b,low gloss index,and matte index(all P<0.05).(iii)The results of multiple models show that the XGBoost-based depression recognition model,integrating the TCM“spirit-expression”diagnostic framework,achieved an accuracy of 98.61%and significantly outperformed four benchmark algorithms—DT,BernoulliNB,SVM,and KNN(P<0.01).(iv)The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm,the complexion b value,categories of facial spirit,high gloss index,low gloss index,categories of facial expression and texture features have significant contribution to the model.Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model,offering a novel paradigm for objective depression diagnosis.展开更多
Objective To develop a clinical decision and prescription generation system(CDPGS)specifically for diarrhea in traditional Chinese medicine(TCM),utilizing a specialized large language model(LLM),Qwen-TCM-Dia,to standa...Objective To develop a clinical decision and prescription generation system(CDPGS)specifically for diarrhea in traditional Chinese medicine(TCM),utilizing a specialized large language model(LLM),Qwen-TCM-Dia,to standardize diagnostic processes and prescription generation.Methods Two primary datasets were constructed:an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge,medical records,and chain-ofthought(CoT)reasoning datasets.After an initial evaluation of 16 open-source LLMs across inference time,accuracy,and output quality,Qwen2.5 was selected as the base model due to its superior overall performance.We then employed a two-stage low-rank adaptation(LoRA)fine-tuning strategy,integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records.This approach was designed to embed the clinical logic(symptoms→pathogenesis→therapeutic principles→prescriptions)into the model’s reasoning capabilities.The resulting fine-tuned model,specialized for TCM diarrhea,was designated as Qwen-TCM-Dia.Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy,precision,recall,and F1-score.Furthermore,the quality of the generated prescriptions was compared with that of established open-source TCM LLMs.Results Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs.It achieved 97.05%accuracy and 91.48%F1-score in disease diagnosis,and 74.54%accuracy and 74.21%F1-score in syndrome type differentiation.Compared with existing open-source TCM LLMs(BianCang,HuangDi,LingDan,TCMLLM-PR,and ZhongJing),Qwen-TCM-Dia exhibited higher fidelity in reconstructing the“symptoms→pathogenesis→therapeutic principles→prescriptions”logic chain.It provided complete prescriptions,whereas other models often omitted dosages or generated mismatched prescriptions.Conclusion By integrating continued pre-training,CoT reasoning,and a two-stage fine-tuning strategy,this study establishes a CDPGS for diarrhea in TCM.The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT.This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.展开更多
Objective To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases,addressing the key limitations of insufficient complementary feature extraction and inadequate cros...Objective To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases,addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods.Methods The fundus multi-label classification dataset with 12 disease categories(FMLC-12)dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition(ODIR)and Retinal Fundus Multi-Disease Image Dataset(RFMiD),yielding 6936 fundus images across 12 retinal pathology categories,and the framework was validated on both FMLC-12 and ODIR.Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine(TCM)ophthalmology,the dualbranch multi-label network(DBMNet)was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling.The architecture employed a TransNeXt backbone within a dual-branch design:one branch processed redgreen-blue(RGB)images to capture color-dependent features,such as vascular patterns and lesion morphology,while the other processed grayscale-converted images to enhance subtle textural details and contrast variations.A feature interaction module(FIM)effectively integrated the multi-scale features from both branches.Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM.The performance of DBMNet was compared against four state-of-the-art methods,including EfficientNet Ensemble,transfer learning-based convolutional neural network(CNN),BFENet,and EyeDeep-Net,using mean average precision(mAP),F1-score,and Cohen's kappa coefficient.Results The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline,increasing from 34.41%to 44.24%,and the addition of FIM further boosted mAP to 49.85%.On FMLC-12,DBMNet achieved an mAP of 49.85%,a Cohen’s kappa coefficient of 62.14%,and an F1-score of 70.21%.Compared with BFENet(mAP:45.42%,kappa:46.64%,F1-score:71.34%),DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa,while BFENet achieved a marginally higher F1-score.On ODIR,DBMNet achieved an F1-score of 85.50%,comparable to state-of-the-art methods.Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture,significantly improving multi-label fundus disease classification.The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases,providing a promising and clinically applicable pathway for standardized,intelligent fundus disease classification.展开更多
Objective:To elucidate the quantification and standardization of cold and hot patterns,the fundamental concepts in traditional Chinese medicine(TCM).Methods:This randomized cross-controlled trial recruited 30 healthy ...Objective:To elucidate the quantification and standardization of cold and hot patterns,the fundamental concepts in traditional Chinese medicine(TCM).Methods:This randomized cross-controlled trial recruited 30 healthy volunteers.Participants in Group 1 underwent 14 days of Coptis chinensis Franch.(C.chinensis,Huang Lian)treatment to shift their body toward the cold pattern,followed by 7 days of washout and 14 days of Cinnamomum cassia Presl(C.cassia,Rou Gui)treatment to shift their body toward the hot pattern.Participants in Group 2 underwent the opposite treatment.Blood and stool samples were collected for routine blood testing and full-length 16S rRNA metagenomic sequencing.Results:Red blood cells(RBC),hemoglobin(HGB),hematocrit(HCT),and blood platelet count(BPC)were increased by C.chinensis,whereas the mean corpuscular HGB concentration(MCHC)was increased by C.cassia.RBC,HGB,HCT,and BPC were positively associated with the cold pattern but negatively correlated with the hot pattern,whereas MCHC showed opposite relationships.C.chinensis-increased Blautia stercoris was positively correlated with RBC,HGB,and HCT under C.chinensis treatment,whereas C.cassia-enhanced Parabacteroides distasonis_A was positively associated with MCHC under C.cassia treatment.Interestingly,five indicators(RBC,HGB,HCT,Blautia stercoris,and Prevotella copri)had an area under the curve of 0.795 for predicting the cold pattern.Although three indicators(MCHC,Akkermansia sp004167605,and Parabacteroides distasonis_A)showed poor predictive ability for the hot pattern,when the individual’s gut microbiota experienced disturbance by cold Chinese materia medica stimulation,the predictive ability increased to 0.703.Conclusion:This study suggests that blood parameters and gut microbes may be potential indicators of hot and cold TCM patterns,which could benefit the objectivity and scientific rigor of TCM.展开更多
Traditional Chinese medicine(TCM)is a holistic medical system that classifies and treats diseases based on the concept of patterns.These patterns describe the pathophysiological process of a disease at a specific stag...Traditional Chinese medicine(TCM)is a holistic medical system that classifies and treats diseases based on the concept of patterns.These patterns describe the pathophysiological process of a disease at a specific stage,reflecting both external signs and internal features.TCM patterns are central to pattern differentiation,treatment,clinical practice,and theoretical development in TCM.However,scientific explanation of TCM patterns remains limited because of subjective diagnostic criteria,the absence of a standardized experimental medical system,and unclear biological mechanisms,which restrict the modernization and globalization of TCM.Addressing challenges such as strong subjectivity in diagnosis,lack of standardized experimental systems,and unclear biological mechanisms is necessary to clarify the scientific meaning of TCM patterns and to provide technical approaches for the modernization and globalization of TCM.A strategy focused on“pathogenic factors,genetic predisposition,and disease progression stages”was adopted.This approach included the following:(Ⅰ)constructing disease-pattern integrated biological models with animal models,organoids,and multi-organ chips;(Ⅱ)applying multi-omics technologies,such as spatial omics,single-cell omics,and dynamic metabolic flux omics;(Ⅲ)using artificial intelligence(AI)and big data for data integration and prediction of pattern evolution;and(Ⅳ)validating formula–pattern associations through the“pattern differentiation through formula efficacy”approach.These strategies directly address the main obstacles in TCM pattern research by providing objective,quantifiable,and reproducible methodologies.Constructing disease-pattern integrated models enabled cross-scale research platforms.Applying multi-omics technologies allowed analysis of complex biological bases.AI and big data approaches addressed challenges related to heterogeneous data.The“formula-based pattern differentiation”approach supported precise interventions and the development of new drugs.This interdisciplinary framework advances TCM pattern research by moving from empirical description to objective quantification.By integrating innovative approaches,the study establishes a foundation for systematic,evidence-based TCM diagnosis and treatment,supporting accuracy and promoting international recognition and modernization of TCM.The study shows that combining multi-omics technologies,AI-driven data analysis,and disease-pattern models enables objective quantification of TCM patterns and clarifies their biological mechanisms.展开更多
Tumor growth depends on neoangiogenesis,and current anti-angiogenic therapies face limitations owing to side effects and drug resistance.Traditional Chinese medicines(TCM)have shown potential to inhibit tumor angiogen...Tumor growth depends on neoangiogenesis,and current anti-angiogenic therapies face limitations owing to side effects and drug resistance.Traditional Chinese medicines(TCM)have shown potential to inhibit tumor angiogenesis owing to their multi-component and multi-target properties.This review focuses on the mechanisms of action of TCM monomers(e.g.,curcumin,tanshinone IIA,and ginsenoside)through the modulation of key pathways,such as HIF-1α,VEGF/VEGFRs,and Notch signaling,and explores their modulatory effects on the tumor microenvironment(e.g.,tumor-associated macrophage polarization).Despite the low toxicity and multi-targeting advantages of TCM,their clinical translation is still limited by low bioavailability and standardization difficulties.In this review,we further analyze the role of modern approaches,such as nanocarriers(liposomes,polymer nanoparticles,metal-coordinated nanomaterials,and plant exosome-like vesicles),in overcoming these bottlenecks and propose a strategy of combining TCM with chemotherapy,radiotherapy,and immunotherapy to overcome drug resistance and enhance therapeutic efficacy.By integrating traditional wisdom with cutting-edge technologies,anti-angiogenesis research in TCM is expected to contribute to the development of safer and more effective individualised cancer treatment.展开更多
Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P...Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P methodology for constructing high-quality instruction datasets in TCM mental disorders.This approach integrates theoretical knowledge and practical case studies through a dual-track strategy.(i)Theoretical track:textbooks and guidelines on TCM mental disorders were manually segmented.Initial responses were generated using DeepSeek-V3,followed by refinement by the Qwen3-32B model to align the expression with human preferences.A screening algorithm was then applied to select 16000 high-quality instruction pairs.(ii)Practical track:starting from over 600 real clinical case seeds,diagnostic and therapeutic instruction pairs were generated using DeepSeek-V3 and subsequently screened through manual evaluation,resulting in 4000 high-quality practiceoriented instruction pairs.The integration of both tracks yielded the Med-Mental-Instruct-T&P dataset,comprising a total of 20000 instruction pairs.To validate the dataset’s effectiveness,three experimental evaluations(both manual and automated)were conducted:(i)comparative studies to compare the performance of models fine-tuned on different datasets;(ii)benchmarking to compare against mainstream TCM-specific large language models(LLMs);(iii)data ablation study to investigate the relationship between data volume and model performance.Results Experimental results demonstrate the superior performance of T&P-model finetuned on the Med-Mental-Instruct-T&P dataset.In the comparative study,the T&P-model significantly outperformed the baseline models trained solely on self-generated or purely human-curated baseline data.This superiority was evident in both automated metrics(ROUGEL>0.55)and expert manual evaluations(scoring above 7/10 across accuracy).In benchmark comparisons,the T&P-model also excelled against existing mainstream TCM LLMs(e.g.,HuatuoGPT and ZuoyiGPT).It showed particularly strong capabilities in handling diverse clinical presentations,including challenging disorders such as insomnia and coma,showcasing its robustness and versatility.Data ablation studies showed that T&P-model performance had an overall upward trend with minor fluctuations when training data increased from 10%to 50%;beyond 50%,performance improvement slowed significantly,with metrics plateauing and approaching a saturation point.展开更多
The number of patients with low back pain has increased due to changes in living and working habits.It has become one of the most common diseases in Chinese and Thai clinics.Treatment with Thai traditional medicine ca...The number of patients with low back pain has increased due to changes in living and working habits.It has become one of the most common diseases in Chinese and Thai clinics.Treatment with Thai traditional medicine can effectively alleviate and manage low back pain.This paper aims to summarize the clinical efficacy and distinctive features of Thai traditional medicine(TTM)in managing low back pain.By reviewing recent literature on TTM treatments,including Thai massage,herbal hot massage,and Thai herbal medicine,the paper aims to lay a foundation for TTM treatment in the world and to promote the convergence and development of traditional Chinese and Thai traditional medicine treatment.Additionally,it advocates for the integration and advancement of both Chinese and Thai traditional medical practices,while also encouraging the dissemination of traditional medicine to other countries globally.展开更多
OBJECTIVE:To examine the differences in cognitive processing between patients with mild cognitive impairment(MCI)of different Traditional Chinese Medicine(TCM)syndrome types to provide evidence supporting the TCM typi...OBJECTIVE:To examine the differences in cognitive processing between patients with mild cognitive impairment(MCI)of different Traditional Chinese Medicine(TCM)syndrome types to provide evidence supporting the TCM typing of MCI.METHODS:Participants were screened using a battery of scales for spleen and kidney deficiency(SKD)/liver Qi stagnation(LQS)-type MCI or those without syndrome or normal control(NC).Following sex,age,and educational matching,behavioral and electroencephalographic data were recorded using the verbal N-back experimental paradigm.The data were then analyzed and compared with respect to the reaction time and correctness of the participants in each group,as well as the amplitude and latency of the event-related potential(ERP)components of P2,N2,and P3.RESULTS:There were no statistically significant differences in the accuracy or reaction times of the behavioral data of the groups.Regarding ERP data,the SKD group had a shorter P2 latency than the LQS and NC groups,while the latter two groups did not differ statistically.The SKD group had a shorter N2 latency than the NC group,while the SKD group did not differ from the LQS group.The SKD and LQS groups had a shorter P3 latency than the NC group.CONCLUSION:Our study offers objective evidence of the distinction between the types of TCM syndrome.Different types of TCM syndromes produce different disease mechanisms,resulting in brain damage with different presentations of cognitive impairment and cognitive processing characteristics.展开更多
Objective Patients with atherosclerotic cardiovascular disease(ASCVD)following percutaneous coronary intervention(PCI)are classified as very-high-risk individuals in cardiovascular disease(CVD)risk stratification.The ...Objective Patients with atherosclerotic cardiovascular disease(ASCVD)following percutaneous coronary intervention(PCI)are classified as very-high-risk individuals in cardiovascular disease(CVD)risk stratification.The distribution pattern of traditional Chinese medicine(TCM)syndromes in this patient population,as well as its association with blood lipid profiles and clinical prognosis,remains unclear.The present prospective cohort study aims to investigate these correlations,thereby providing insights to enrich the research fields.Methods We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1,2020 and December 31,2022.Demographics and clinical characteristics,signs and symptoms defining each TCM syndrome,and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events(MACEs).We analyzed the correlation between TCM syndromes,blood lipid profiles,and MACEs,and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression.The analyses were based on detailed baseline and one-year follow-up data.Results A per-protocol analysis was performed on 586 patients with complete data ultimately.During the one-year follow-up,174 patients(29.69%)experienced a MACE.We performed statistical analyses on comorbidities,medication,and biochemical indicators across groups defined by TCM syndrome differentiation.When comparing different TCM syndromes,no significant differences were found in age,body mass index(BMI),history of revascularization,comorbidities,family history of CVD,smoking or drinking,or statin intensity(P>0.05).Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol(TC,5.27±1.18 mmol/L,P<0.001),triglyceride(TG,1.96±1.33 mmol/L,P=0.008),low-density lipoprotein cholesterol(LDL-C,3.35±0.79 mmol/L,P<0.001),and high-density lipoprotein cholesterol(HDL-C,1.24±0.81 mmol/L,P<0.001)compared with those with other TCM syndromes combined.A multivariable logistic regression model was constructed to predict MACEs.The model included TCM syndrome type[with intertwined phlegm and blood stasis as a predictor,adjusted odds ratio(OR)=1.413,95%confidence interval(CI):0.517–3.864,P=0.501],age(adjusted OR=0.97,95%CI:0.955–1.001,P=0.057),male gender(adjusted OR=0.698,95%CI:0.416–1.170,P=0.173),TC(adjusted OR=1.004,95%CI:0.513–1.965,P=0.990),and LDL-C(adjusted OR=5.825,95%CI:2.214–15.326,P<0.001).This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients[the area under the receiver operating characteristic(ROC)curve(AUC)=0.865,95%CI:0.816–0.914].Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C.The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters(TC and LDL-C)shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI,underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.展开更多
Chemotherapy-induced diarrhea(CID)is a major concern for cancer patients and is associated with significant morbidity and mortality.Currently,the clinical management of CID is limited.The utilization of antidiarrheal ...Chemotherapy-induced diarrhea(CID)is a major concern for cancer patients and is associated with significant morbidity and mortality.Currently,the clinical management of CID is limited.The utilization of antidiarrheal medications,such as loperamide and octreotide,is relatively limited because of their unsatisfactory efficacy and adverse effects.In recent years,traditional Chinese medicine(TCM)has attracted great interest because of its beneficial effect in treating CID,which has multitarget and low-toxicity therapeutic characteristics.TCM exhibits remarkable therapeutic potential in the prevention and treatment of CID.It can alleviate and treat CID by regulating chemical drug metabolism,improving the integrity of the intestinal barrier,stimulating proliferation while suppressing the apoptosis of intestinal epithelial cells,ameliorating oxidative stress and inflammation and regulating bile acids and aquaporins.However,large-scale,randomized,double-blind clinical trials of TCM for the treatment of CID are lacking,and most preclinical experiments have not been translated to clinical trials.Accordingly,this review highlights the clinical efficacy and molecular mechanisms of TCM against CID via PubMed,Web of Science and China National Knowledge Infrastructure and proposes that future research on TCM against CID should focus on strengthening the connection from bench to bed,which may help to comprehensively evaluate the therapeutic potential of TCM against CID.展开更多
Objective:To evaluate the nursing effects of auricular seed therapy combined with Chinese herbal poultice treatment for patients with lumbar disc herniation(LDH).Method:A total of 80 patients with LDH were randomly di...Objective:To evaluate the nursing effects of auricular seed therapy combined with Chinese herbal poultice treatment for patients with lumbar disc herniation(LDH).Method:A total of 80 patients with LDH were randomly divided into two groups.The combined group received auricular acupuncture with seed application combined with Chinese herbal poultice therapy,while the reference group received auricular acupuncture with seed application alone.The therapeutic outcomes of both groups were compared.Results:The combined intervention group demonstrated decreased sleep quality scores,reduced pain neurotransmitter levels,and improved lumbar spine function scores post-intervention,with significant intergroup differences(p<0.05).Conclusion:Auricular seed therapy combined with Chinese herbal poultice care effectively improves sleep quality and lumbar spine function while alleviating pain perception in patients with lumbar disc herniation,indicating superior therapeutic efficacy.展开更多
Despite effective antiretroviral therapy(ART),many individuals with human immunodeficiency virus(HIV)/acquired immune deficiency syndrome(AIDS)achieve viral suppression but fail to fully restore cluster of differentia...Despite effective antiretroviral therapy(ART),many individuals with human immunodeficiency virus(HIV)/acquired immune deficiency syndrome(AIDS)achieve viral suppression but fail to fully restore cluster of differentiation 4(CD4)^(+)T lymphocyte(CD4 cell)counts—a condition known as immunological non-response(INRs).INRs are associated with elevated health risks,including increased susceptibility to AIDS-related and non-AIDS-related complications.The pathogenesis of INRs remains incompletely understood,and no established therapeutic interventions exist,posing a major challenge in contemporary HIV/AIDS management.Emerging evidence indicates that INRs exhibit significant alterations in gut microbiota composition.Dysbiosis of the gut microbiota may contribute to persistent immune activation,cytokine imbalance,and cellular pyroptosis,all of which could impair immune reconstitution in people living with HIV/AIDS.Traditional Chinese medicine(TCM)has demonstrated potential immunomodulatory effects and is increasingly utilized in the management of INRs.Targeting the gut microbiota and elucidating the mechanisms by which TCM modulates this microbial ecosystem may offer new avenues for preventing and treating INRs.This review explores the interplay between gut microbiota and TCM,examines the association between gut dysbiosis and INRs,discusses the mechanistic pathways through which microbiota imbalance contributes to INRs development,and highlights how TCM interventions regulate gut microbiota to promote immune recovery.By focusing on the gut microbiota as a therapeutic interface,this article provides novel insights into TCM-based strategies for improving outcomes in INRs and supports the development of innovative treatment approaches.展开更多
Chronic heart failure(CHF) remains a global health challenge with limited therapeutic options. Mitochondrial dysfunction is a key pathological feature, and traditional Chinese medicine(TCM) shows unique potential in t...Chronic heart failure(CHF) remains a global health challenge with limited therapeutic options. Mitochondrial dysfunction is a key pathological feature, and traditional Chinese medicine(TCM) shows unique potential in targeting this mechanism. Evidence from human and animal models of heart failure indicates that TCM can restore mitochondrial function by regulating mitochondrial Ca^(2+) homeostasis, oxidative stress, energy metabolism, mitochondrial dynamics, and mitophagy. TCM-based treatment of CHF offers notable clinical advantages, including improved therapeutic efficacy, enhanced cardiac function, and reduced incidence of major cardiovascular events. Experimental studies demonstrate that TCM decoctions and monomers modulate signaling pathways such as PPAR–RXRα, NF-κB, and PI3K/AKT to alleviate oxidative stress. TCM also increases AMPK activity via phosphorylation of PGC-1α, indirectly promoting mitochondrial biogenesis;attenuates calcium influx and enhances Ca^(2+) reuptake, thereby ameliorating myocardial mitochondrial dysfunction in CHF;and improves CHF by rebalancing mitochondrial dynamics and autophagy.展开更多
Dengue fever is an acute infectious disease caused by the dengue virus and transmitted by mosquito vectors[1].Its clinical manifestations include high fever,headache,muscle and joint pain,and rash.It holds a significa...Dengue fever is an acute infectious disease caused by the dengue virus and transmitted by mosquito vectors[1].Its clinical manifestations include high fever,headache,muscle and joint pain,and rash.It holds a significant position in global public health.In recent years,its incidence has continued to rise worldwide[2],making it one of the major diseases threatening human health.The disease course of dengue fever is divided into three typical phases:the acute febrile phase,the critical phase,and the recovery phase.While most patients experience mild symptoms,some may progress to severe dengue and potentially fatal outcomes if not promptly and effectively treated during the critical phase.展开更多
基金Supported by the Project of National Social Science Fund of China(22CMZ015).
文摘Chinese medicinal materials are the material basis for the inheritance and development of traditional Chinese medicine.Intellectual property protection for the entire industrial chain of traditional Chinese medicinal materials promotes the inheritance and innovation of traditional Chinese medicine,and contributes to rural revitalization and the building of an agricultural power.This article provides an overview of the traditional Chinese medicinal materials in Hubei Province.It conducts a detailed investigation into the intellectual property resources of the province s traditional Chinese medicinal materials from aspects such as traditional knowledge,genetic resources,new plant varieties,patents,geographical indications,and trademarks.It analyzes the eight main problems in the protection,inheritance,and innovative development of intellectual property rights,and puts forward corresponding suggestions,such as establishing an intellectual property rights rule system for specific fields of traditional Chinese medicinal materials,promoting the"Famous Brand Action in Rural Areas",and building a"Hubei s Sixteen Superior Herbs"cluster of traditional Chinese medicinal materials.
基金supported by the National Social Science Fund of China(NSSFC):NSSFC Major Project“Exploration and Practice in the Development of Chinese Economics Since the Modern Era”(Grant No.17ZDA034)NSSFC Key Project“The Status and Value of Traditional Chinese Economic Thought”(Grant No.17AJL006)NSSFC General Project“The Transformation and Evolution of Chinese Economic Thought During the Republican Era”(Grant No.22BJL130).
文摘Does traditional Chinese economic thought possess genuine analytical rigor?This question lies at the heart of any serious evaluation of its theoretical value and historical significance.It also matters for understanding how best to preserve,build on its remarkable achievements,and develop its intellectual legacy.Critics such as Schumpeter and Taylor have long argued that the economic reasoning found in ancient China cannot compare with that of classical Greece or medieval Europe.Yet this view often reflects the narrow assumptions of mainstream economics,defining analysis almost entirely in terms of market exchange.As a result,it tends to overlook traditions built around statecraft,governance,and the management of economic order.A careful re-examination and Sino-Western comparative analysis of key thinkers-including Mencius,Guanzi,and Sima Qian-tells a different story.Rooted in China’s distinctive cultural and philosophical heritage,traditional Chinese economic thought not only contains the analytical dimensions(as defined by Schumpeter)but also displays a broader and more diverse set of economic reasoning.Notably,its systematic depth and intellectual precision were,in many respects,remarkably advanced.Therefore,advancing the construction of a Chinese school of economics in the new era under the framework of the“Second Integration”,i.e.,integrating the basic tenets of Marxism with China’s fine traditional culture,should,and indeed can draw essential insights from this analytical tradition.
基金Supported by the Project of National Social Science Fund of China (22CMZ015).
文摘The concept of geographical indication is similar to the idea of authentic medicinal herbs in traditional Chinese medicine. This paper examines the geographical indication (GI) resources of medicinal herbs in the Wuling Mountain Area from various perspectives, including geographical indication products, geographical indication trademarks, China s geographical indication products mutually recognized and protected with the EU, geographical indication standards, and the exclusive geographical indication logo. It studies the regional public brand characteristics of Chinese authentic medicinal herbs, based on hometown of authentic Chinese medicinal herbs, advantageous regions of characteristic agricultural products, important agricultural cultural heritage, national famous and excellent new agricultural products, national characteristic agricultural products, geographical indication Chinese well-known trademarks, advantageous regions of characteristic agricultural products, and regional public brands of agricultural products. It analyzes the main problems in the protection of geographical indications and the creation of regional public brands, and proposes suggestions for building high-quality authentic medicinal herb bases, developing new quality productivity in the authentic medicinal herb industry, implementing regional brand strategies for authentic medicinal herbs, constructing a new development pattern of dual circulation authentic medicinal herbs, etc.
基金Grants of National Natural Science Foundation of China(82274685).
文摘Objective To systematically characterize the developmental trajectory and interdisciplinary integration of intelligent diagnosis in traditional Chinese medicine(TCM)through quantitative topic evolution analysis,we addressed the fragmentation of existing research and clarified the long-term research structure and evolutionary patterns of the field.Methods A topic evolution analysis was performed on Chinese-language literature pertaining to intelligent diagnosis in TCM.Publications were retrieved from the China National Knowledge Infrastructure(CNKI),Wanfang Data,and China Science and Technology Journal Database(VIP),covering the period from database inception to July 3,2025.A hybrid segmentation approach,based on cumulative publication growth trends and inflection point detection,was applied to divide the research timeline into distinct stages.Subsequently,the latent Dirichlet allocation(LDA)model was used to extract research topics,followed by alignment and evolutionary analysis of topics across different stages.Results A total of 3919 publications published between 2003 and 2025 were included,and the research trajectory was divided into five stages based on data-driven breakpoint detection.The field exhibited a clear evolutionary shift from early rule-based systems and tonguepulse image and signal analysis(2006–2010),to machine-learning-based syndrome and prescription modeling(2011–2015),followed by deep-learning-driven pattern recognition and formula association(2016–2020).Since 2021,research has increasingly emphasized knowledge-graph construction,multimodal integration,and intelligent clinical decision-support systems,with recent studies(2024–2025)showing the emergence of large language models and agent-based diagnostic frameworks.Topic evolution analysis further revealed sustained cross-stage continuity in syndrome modeling and prescription association analysis,alongside the progressive consolidation of integrated intelligent diagnostic platforms.Conclusion By identifying key technological transitions and persistent core research themes,our findings offer a structured reference framework for the design of intelligent diagnostic systems,the construction of knowledge-driven clinical decision-support tools,and the alignment of AI models with TCM diagnostic logic.Importantly,the stage-based evolutionary insights derived from this analysis can inform future methodological choices,improve model interpretability and clinical applicability,and support the translation of intelligent TCM diagnosis from experimental research to real-world clinical practice.
基金the grants from the National Natural Science Foundation of China(No.82474159,No.82074294)Shanghai Municipal Science and Technology Major Project(No.ZD2021CY001)+1 种基金Three-year Action Plan for Shanghai TCM Development and Inheritance Program[No.ZY(2021-2023)-0103],Shanghai Science and Technology Innovation Action Plans(No.20S21901500)Shanghai Key Laboratory of Health Identification and Assessment(No.21DZ2271000).
文摘The disruption of gut microbiota and excessive immune responses are commonly observed in various respiratory conditions,including Corona virus disease 2019(COVID-19).As supported by the theories of“treating the lung diseases from the large intestine(从肠治肺)”and“simultaneous treatment of lung and large intestine(肺肠同治)”,TCM(traditional Chinese medicine)has made significant contributions to the management of pneumonia,acute respiratory distress syndrome(ARDS),chronic obstructive pulmonary disease(COPD),asthma,and other respiratory conditions,demonstrating remarkable clinical effectiveness.Thus,our review sought to investigate the underlying material basis and scientific implications of this theory,specifically focusing on the regulation of gut microbiota,thus providing new ideas for clinical treatment.We reviewed the therapeutic efficacy of TCM in treating lung diseases using the“treating the lung diseases from the large intestine”and“simultaneous treatment of lung and large intestine”methods.The mechanisms of action(MOAs)of TCM were also summarized.TCM can protect the abundance and inhibit the translocation of intestinal microbiota caused by lung diseases,exhibiting significant anti-inflammatory roles,etc.Additionally,TCM can regulate metabolic process,e.g.,promoting the production of anti-inflammatory short-chain fatty acids(SCFAs).Meanwhile,Gut microbiota might be an important regulatory target for the therapeutic role of TCM to treat lung diseases.
基金General Program of National Natural Science Foundation of China(82474390)Construction Project of Pudong New Area Famous TCM Studios(National Pilot Zone for TCM Development,Shanghai)(PDZY-2025-0716)Shanghai Municipal Science and Technology Program Project Shanghai Key Laboratory of Health Identification and Assessment(21DZ2271000).
文摘Objective To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine(TCM)with machine learning algorithms.The proposed model seeks to establish a TCM-informed tool for early depression screening,thereby bridging traditional diagnostic principles with modern computational approaches.Methods The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1,2022 to October 1,2023,as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group.Videos of 3–10 s were captured using a Xiaomi Pad 5,and the TCM spirit and expressions were determined by TCM experts(at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions).Basic information,facial images,and interview information were collected through a portable TCM intelligent analysis and diagnosis device,and facial diagnosis features were extracted using the Open CV computer vision library technology.Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data,TCM spirit and expression features,and facial diagnosis feature parameters of the two groups,to compare the differences in TCM spirit and expression and facial features.Five machine learning algorithms,including extreme gradient boosting(XGBoost),decision tree(DT),Bernoulli naive Bayes(BernoulliNB),support vector machine(SVM),and k-nearest neighbor(KNN)classification,were used to construct a depression recognition model based on the fusion of TCM spirit and expression features.The performance of the model was evaluated using metrics such as accuracy,precision,and the area under the receiver operating characteristic(ROC)curve(AUC).The model results were explained using the Shapley Additive exPlanations(SHAP).Results A total of 93 depression patients and 87 healthy individuals were ultimately included in this study.There was no statistically significant difference in the baseline characteristics between the two groups(P>0.05).The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows.(i)Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls(P<0.05),with characteristic features such as sad expressions,facial erythema,and changes in the lip color ranging from erythematous to cyanotic.(ii)Depressed patients exhibited significantly lower values in facial complexion L,lip L,and a values,and gloss index,but higher values in facial complexion a and b,lip b,low gloss index,and matte index(all P<0.05).(iii)The results of multiple models show that the XGBoost-based depression recognition model,integrating the TCM“spirit-expression”diagnostic framework,achieved an accuracy of 98.61%and significantly outperformed four benchmark algorithms—DT,BernoulliNB,SVM,and KNN(P<0.01).(iv)The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm,the complexion b value,categories of facial spirit,high gloss index,low gloss index,categories of facial expression and texture features have significant contribution to the model.Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model,offering a novel paradigm for objective depression diagnosis.
基金National Key Research and Development Program of China(2024YFC3505400)Capital Clinical Project of Beijing Municipal Science&Technology Commission(Z221100007422092)Capital’s Funds for Health Improvement and Research(2024-1-2231).
文摘Objective To develop a clinical decision and prescription generation system(CDPGS)specifically for diarrhea in traditional Chinese medicine(TCM),utilizing a specialized large language model(LLM),Qwen-TCM-Dia,to standardize diagnostic processes and prescription generation.Methods Two primary datasets were constructed:an evaluation benchmark and a fine-tuning dataset consisting of fundamental diarrhea knowledge,medical records,and chain-ofthought(CoT)reasoning datasets.After an initial evaluation of 16 open-source LLMs across inference time,accuracy,and output quality,Qwen2.5 was selected as the base model due to its superior overall performance.We then employed a two-stage low-rank adaptation(LoRA)fine-tuning strategy,integrating continued pre-training on domain-specific knowledge with instruction fine-tuning using CoT-enriched medical records.This approach was designed to embed the clinical logic(symptoms→pathogenesis→therapeutic principles→prescriptions)into the model’s reasoning capabilities.The resulting fine-tuned model,specialized for TCM diarrhea,was designated as Qwen-TCM-Dia.Model performance was evaluated for disease diagnosis and syndrome type differentiation using accuracy,precision,recall,and F1-score.Furthermore,the quality of the generated prescriptions was compared with that of established open-source TCM LLMs.Results Qwen-TCM-Dia achieved peak performance compared to both the base Qwen2.5 model and five other open-source TCM LLMs.It achieved 97.05%accuracy and 91.48%F1-score in disease diagnosis,and 74.54%accuracy and 74.21%F1-score in syndrome type differentiation.Compared with existing open-source TCM LLMs(BianCang,HuangDi,LingDan,TCMLLM-PR,and ZhongJing),Qwen-TCM-Dia exhibited higher fidelity in reconstructing the“symptoms→pathogenesis→therapeutic principles→prescriptions”logic chain.It provided complete prescriptions,whereas other models often omitted dosages or generated mismatched prescriptions.Conclusion By integrating continued pre-training,CoT reasoning,and a two-stage fine-tuning strategy,this study establishes a CDPGS for diarrhea in TCM.The results demonstrate the synergistic effect of strengthening domain representation through pre-training and activating logical reasoning via CoT.This research not only provides critical technical support for the standardized diagnosis and treatment of diarrhea but also offers a scalable paradigm for the digital inheritance of expert TCM experience and the intelligent transformation of TCM.
基金Natural Science Foundation of Hunan Province(2025JJ90031)Key Research and Development Program of Hunan Province of China(23A0273)Hunan Provincial Administration of Traditional Chinese Medicine(A2023048).
文摘Objective To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases,addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods.Methods The fundus multi-label classification dataset with 12 disease categories(FMLC-12)dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition(ODIR)and Retinal Fundus Multi-Disease Image Dataset(RFMiD),yielding 6936 fundus images across 12 retinal pathology categories,and the framework was validated on both FMLC-12 and ODIR.Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine(TCM)ophthalmology,the dualbranch multi-label network(DBMNet)was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling.The architecture employed a TransNeXt backbone within a dual-branch design:one branch processed redgreen-blue(RGB)images to capture color-dependent features,such as vascular patterns and lesion morphology,while the other processed grayscale-converted images to enhance subtle textural details and contrast variations.A feature interaction module(FIM)effectively integrated the multi-scale features from both branches.Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM.The performance of DBMNet was compared against four state-of-the-art methods,including EfficientNet Ensemble,transfer learning-based convolutional neural network(CNN),BFENet,and EyeDeep-Net,using mean average precision(mAP),F1-score,and Cohen's kappa coefficient.Results The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline,increasing from 34.41%to 44.24%,and the addition of FIM further boosted mAP to 49.85%.On FMLC-12,DBMNet achieved an mAP of 49.85%,a Cohen’s kappa coefficient of 62.14%,and an F1-score of 70.21%.Compared with BFENet(mAP:45.42%,kappa:46.64%,F1-score:71.34%),DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa,while BFENet achieved a marginally higher F1-score.On ODIR,DBMNet achieved an F1-score of 85.50%,comparable to state-of-the-art methods.Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture,significantly improving multi-label fundus disease classification.The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases,providing a promising and clinically applicable pathway for standardized,intelligent fundus disease classification.
基金supported by the National Natural Science Foundation of China(81973217).
文摘Objective:To elucidate the quantification and standardization of cold and hot patterns,the fundamental concepts in traditional Chinese medicine(TCM).Methods:This randomized cross-controlled trial recruited 30 healthy volunteers.Participants in Group 1 underwent 14 days of Coptis chinensis Franch.(C.chinensis,Huang Lian)treatment to shift their body toward the cold pattern,followed by 7 days of washout and 14 days of Cinnamomum cassia Presl(C.cassia,Rou Gui)treatment to shift their body toward the hot pattern.Participants in Group 2 underwent the opposite treatment.Blood and stool samples were collected for routine blood testing and full-length 16S rRNA metagenomic sequencing.Results:Red blood cells(RBC),hemoglobin(HGB),hematocrit(HCT),and blood platelet count(BPC)were increased by C.chinensis,whereas the mean corpuscular HGB concentration(MCHC)was increased by C.cassia.RBC,HGB,HCT,and BPC were positively associated with the cold pattern but negatively correlated with the hot pattern,whereas MCHC showed opposite relationships.C.chinensis-increased Blautia stercoris was positively correlated with RBC,HGB,and HCT under C.chinensis treatment,whereas C.cassia-enhanced Parabacteroides distasonis_A was positively associated with MCHC under C.cassia treatment.Interestingly,five indicators(RBC,HGB,HCT,Blautia stercoris,and Prevotella copri)had an area under the curve of 0.795 for predicting the cold pattern.Although three indicators(MCHC,Akkermansia sp004167605,and Parabacteroides distasonis_A)showed poor predictive ability for the hot pattern,when the individual’s gut microbiota experienced disturbance by cold Chinese materia medica stimulation,the predictive ability increased to 0.703.Conclusion:This study suggests that blood parameters and gut microbes may be potential indicators of hot and cold TCM patterns,which could benefit the objectivity and scientific rigor of TCM.
基金supported by the National Key Research and Development Program of China(2022YFC3500100)the National Natural Science Foundation of China(82230126 and U24A20800)+3 种基金Noncommunicable Chronic Diseases-National Science and Technology Major Project(2023ZD0502600 and 2023ZD0502601)National Science Fund for Excellent Young Scholars(82222075)the Incubation Program for the Science and Technology Development of Chinese Medicine Guangdong Laboratory(HQL2024PZ045 and HQCML-C-2024003)Guangdong Provincial Key Laboratory of Pattern and Formula(2022B1212010012).
文摘Traditional Chinese medicine(TCM)is a holistic medical system that classifies and treats diseases based on the concept of patterns.These patterns describe the pathophysiological process of a disease at a specific stage,reflecting both external signs and internal features.TCM patterns are central to pattern differentiation,treatment,clinical practice,and theoretical development in TCM.However,scientific explanation of TCM patterns remains limited because of subjective diagnostic criteria,the absence of a standardized experimental medical system,and unclear biological mechanisms,which restrict the modernization and globalization of TCM.Addressing challenges such as strong subjectivity in diagnosis,lack of standardized experimental systems,and unclear biological mechanisms is necessary to clarify the scientific meaning of TCM patterns and to provide technical approaches for the modernization and globalization of TCM.A strategy focused on“pathogenic factors,genetic predisposition,and disease progression stages”was adopted.This approach included the following:(Ⅰ)constructing disease-pattern integrated biological models with animal models,organoids,and multi-organ chips;(Ⅱ)applying multi-omics technologies,such as spatial omics,single-cell omics,and dynamic metabolic flux omics;(Ⅲ)using artificial intelligence(AI)and big data for data integration and prediction of pattern evolution;and(Ⅳ)validating formula–pattern associations through the“pattern differentiation through formula efficacy”approach.These strategies directly address the main obstacles in TCM pattern research by providing objective,quantifiable,and reproducible methodologies.Constructing disease-pattern integrated models enabled cross-scale research platforms.Applying multi-omics technologies allowed analysis of complex biological bases.AI and big data approaches addressed challenges related to heterogeneous data.The“formula-based pattern differentiation”approach supported precise interventions and the development of new drugs.This interdisciplinary framework advances TCM pattern research by moving from empirical description to objective quantification.By integrating innovative approaches,the study establishes a foundation for systematic,evidence-based TCM diagnosis and treatment,supporting accuracy and promoting international recognition and modernization of TCM.The study shows that combining multi-omics technologies,AI-driven data analysis,and disease-pattern models enables objective quantification of TCM patterns and clarifies their biological mechanisms.
基金supported by the Xinglin Scholars Nursery Program Talent Fund of Chengdu University of Traditional Chinese Medicine(MPRC2023005).
文摘Tumor growth depends on neoangiogenesis,and current anti-angiogenic therapies face limitations owing to side effects and drug resistance.Traditional Chinese medicines(TCM)have shown potential to inhibit tumor angiogenesis owing to their multi-component and multi-target properties.This review focuses on the mechanisms of action of TCM monomers(e.g.,curcumin,tanshinone IIA,and ginsenoside)through the modulation of key pathways,such as HIF-1α,VEGF/VEGFRs,and Notch signaling,and explores their modulatory effects on the tumor microenvironment(e.g.,tumor-associated macrophage polarization).Despite the low toxicity and multi-targeting advantages of TCM,their clinical translation is still limited by low bioavailability and standardization difficulties.In this review,we further analyze the role of modern approaches,such as nanocarriers(liposomes,polymer nanoparticles,metal-coordinated nanomaterials,and plant exosome-like vesicles),in overcoming these bottlenecks and propose a strategy of combining TCM with chemotherapy,radiotherapy,and immunotherapy to overcome drug resistance and enhance therapeutic efficacy.By integrating traditional wisdom with cutting-edge technologies,anti-angiogenesis research in TCM is expected to contribute to the development of safer and more effective individualised cancer treatment.
基金Key Scientific Research Project of the Hunan Provincial Department of Education(23A312).
文摘Objective To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine(TCM)mental disorders and to validate its efficacy.Methods We proposed the Fine-Med-Mental-T&P methodology for constructing high-quality instruction datasets in TCM mental disorders.This approach integrates theoretical knowledge and practical case studies through a dual-track strategy.(i)Theoretical track:textbooks and guidelines on TCM mental disorders were manually segmented.Initial responses were generated using DeepSeek-V3,followed by refinement by the Qwen3-32B model to align the expression with human preferences.A screening algorithm was then applied to select 16000 high-quality instruction pairs.(ii)Practical track:starting from over 600 real clinical case seeds,diagnostic and therapeutic instruction pairs were generated using DeepSeek-V3 and subsequently screened through manual evaluation,resulting in 4000 high-quality practiceoriented instruction pairs.The integration of both tracks yielded the Med-Mental-Instruct-T&P dataset,comprising a total of 20000 instruction pairs.To validate the dataset’s effectiveness,three experimental evaluations(both manual and automated)were conducted:(i)comparative studies to compare the performance of models fine-tuned on different datasets;(ii)benchmarking to compare against mainstream TCM-specific large language models(LLMs);(iii)data ablation study to investigate the relationship between data volume and model performance.Results Experimental results demonstrate the superior performance of T&P-model finetuned on the Med-Mental-Instruct-T&P dataset.In the comparative study,the T&P-model significantly outperformed the baseline models trained solely on self-generated or purely human-curated baseline data.This superiority was evident in both automated metrics(ROUGEL>0.55)and expert manual evaluations(scoring above 7/10 across accuracy).In benchmark comparisons,the T&P-model also excelled against existing mainstream TCM LLMs(e.g.,HuatuoGPT and ZuoyiGPT).It showed particularly strong capabilities in handling diverse clinical presentations,including challenging disorders such as insomnia and coma,showcasing its robustness and versatility.Data ablation studies showed that T&P-model performance had an overall upward trend with minor fluctuations when training data increased from 10%to 50%;beyond 50%,performance improvement slowed significantly,with metrics plateauing and approaching a saturation point.
基金the grants from the National Administration of Traditional Chinese Medicine Project for Enhancing Innovation Capabilities in Chinese Medicine(No.BJTH 2024-02F-0009)Shanghai Municipal Health Commission Seed Program for Research and Transformation of Medical New Technologies(No.2024ZZ1006)Shanghai Three-year Action Plan to Further Accelerate the Inheritance and Innovative Development of Traditional Chinese Medicine(No.2025-2027)(3-1-1).
文摘The number of patients with low back pain has increased due to changes in living and working habits.It has become one of the most common diseases in Chinese and Thai clinics.Treatment with Thai traditional medicine can effectively alleviate and manage low back pain.This paper aims to summarize the clinical efficacy and distinctive features of Thai traditional medicine(TTM)in managing low back pain.By reviewing recent literature on TTM treatments,including Thai massage,herbal hot massage,and Thai herbal medicine,the paper aims to lay a foundation for TTM treatment in the world and to promote the convergence and development of traditional Chinese and Thai traditional medicine treatment.Additionally,it advocates for the integration and advancement of both Chinese and Thai traditional medical practices,while also encouraging the dissemination of traditional medicine to other countries globally.
基金Supported by National Natural Science Foundation of China-funded Project:Study on Mechanism of“Smoothing The Liver Therapy”on Working Memory of the Patients with Mild Cognitive Impairment Caused by Negative Emotion Regulation(No.81473556)Effects and Mechanism of Liver’s Failing to Facilitate the Coursing of Qi on Decline Process of Cognitive Function of Normal People and Patients with MCI(No.81873208)。
文摘OBJECTIVE:To examine the differences in cognitive processing between patients with mild cognitive impairment(MCI)of different Traditional Chinese Medicine(TCM)syndrome types to provide evidence supporting the TCM typing of MCI.METHODS:Participants were screened using a battery of scales for spleen and kidney deficiency(SKD)/liver Qi stagnation(LQS)-type MCI or those without syndrome or normal control(NC).Following sex,age,and educational matching,behavioral and electroencephalographic data were recorded using the verbal N-back experimental paradigm.The data were then analyzed and compared with respect to the reaction time and correctness of the participants in each group,as well as the amplitude and latency of the event-related potential(ERP)components of P2,N2,and P3.RESULTS:There were no statistically significant differences in the accuracy or reaction times of the behavioral data of the groups.Regarding ERP data,the SKD group had a shorter P2 latency than the LQS and NC groups,while the latter two groups did not differ statistically.The SKD group had a shorter N2 latency than the NC group,while the SKD group did not differ from the LQS group.The SKD and LQS groups had a shorter P3 latency than the NC group.CONCLUSION:Our study offers objective evidence of the distinction between the types of TCM syndrome.Different types of TCM syndromes produce different disease mechanisms,resulting in brain damage with different presentations of cognitive impairment and cognitive processing characteristics.
基金Capital Health Development Scientific Research Project(2020-2-4064)National Key Research and Development Program of China(2018YFC2002502).
文摘Objective Patients with atherosclerotic cardiovascular disease(ASCVD)following percutaneous coronary intervention(PCI)are classified as very-high-risk individuals in cardiovascular disease(CVD)risk stratification.The distribution pattern of traditional Chinese medicine(TCM)syndromes in this patient population,as well as its association with blood lipid profiles and clinical prognosis,remains unclear.The present prospective cohort study aims to investigate these correlations,thereby providing insights to enrich the research fields.Methods We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1,2020 and December 31,2022.Demographics and clinical characteristics,signs and symptoms defining each TCM syndrome,and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events(MACEs).We analyzed the correlation between TCM syndromes,blood lipid profiles,and MACEs,and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression.The analyses were based on detailed baseline and one-year follow-up data.Results A per-protocol analysis was performed on 586 patients with complete data ultimately.During the one-year follow-up,174 patients(29.69%)experienced a MACE.We performed statistical analyses on comorbidities,medication,and biochemical indicators across groups defined by TCM syndrome differentiation.When comparing different TCM syndromes,no significant differences were found in age,body mass index(BMI),history of revascularization,comorbidities,family history of CVD,smoking or drinking,or statin intensity(P>0.05).Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol(TC,5.27±1.18 mmol/L,P<0.001),triglyceride(TG,1.96±1.33 mmol/L,P=0.008),low-density lipoprotein cholesterol(LDL-C,3.35±0.79 mmol/L,P<0.001),and high-density lipoprotein cholesterol(HDL-C,1.24±0.81 mmol/L,P<0.001)compared with those with other TCM syndromes combined.A multivariable logistic regression model was constructed to predict MACEs.The model included TCM syndrome type[with intertwined phlegm and blood stasis as a predictor,adjusted odds ratio(OR)=1.413,95%confidence interval(CI):0.517–3.864,P=0.501],age(adjusted OR=0.97,95%CI:0.955–1.001,P=0.057),male gender(adjusted OR=0.698,95%CI:0.416–1.170,P=0.173),TC(adjusted OR=1.004,95%CI:0.513–1.965,P=0.990),and LDL-C(adjusted OR=5.825,95%CI:2.214–15.326,P<0.001).This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients[the area under the receiver operating characteristic(ROC)curve(AUC)=0.865,95%CI:0.816–0.914].Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C.The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters(TC and LDL-C)shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI,underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.
基金supported by the Innovative Team Project of Ordinary Universities in Guangdong Province(No.2022KCXTD016).
文摘Chemotherapy-induced diarrhea(CID)is a major concern for cancer patients and is associated with significant morbidity and mortality.Currently,the clinical management of CID is limited.The utilization of antidiarrheal medications,such as loperamide and octreotide,is relatively limited because of their unsatisfactory efficacy and adverse effects.In recent years,traditional Chinese medicine(TCM)has attracted great interest because of its beneficial effect in treating CID,which has multitarget and low-toxicity therapeutic characteristics.TCM exhibits remarkable therapeutic potential in the prevention and treatment of CID.It can alleviate and treat CID by regulating chemical drug metabolism,improving the integrity of the intestinal barrier,stimulating proliferation while suppressing the apoptosis of intestinal epithelial cells,ameliorating oxidative stress and inflammation and regulating bile acids and aquaporins.However,large-scale,randomized,double-blind clinical trials of TCM for the treatment of CID are lacking,and most preclinical experiments have not been translated to clinical trials.Accordingly,this review highlights the clinical efficacy and molecular mechanisms of TCM against CID via PubMed,Web of Science and China National Knowledge Infrastructure and proposes that future research on TCM against CID should focus on strengthening the connection from bench to bed,which may help to comprehensively evaluate the therapeutic potential of TCM against CID.
文摘Objective:To evaluate the nursing effects of auricular seed therapy combined with Chinese herbal poultice treatment for patients with lumbar disc herniation(LDH).Method:A total of 80 patients with LDH were randomly divided into two groups.The combined group received auricular acupuncture with seed application combined with Chinese herbal poultice therapy,while the reference group received auricular acupuncture with seed application alone.The therapeutic outcomes of both groups were compared.Results:The combined intervention group demonstrated decreased sleep quality scores,reduced pain neurotransmitter levels,and improved lumbar spine function scores post-intervention,with significant intergroup differences(p<0.05).Conclusion:Auricular seed therapy combined with Chinese herbal poultice care effectively improves sleep quality and lumbar spine function while alleviating pain perception in patients with lumbar disc herniation,indicating superior therapeutic efficacy.
基金supported by the National Natural Science Foundation of China(No.82274474)。
文摘Despite effective antiretroviral therapy(ART),many individuals with human immunodeficiency virus(HIV)/acquired immune deficiency syndrome(AIDS)achieve viral suppression but fail to fully restore cluster of differentiation 4(CD4)^(+)T lymphocyte(CD4 cell)counts—a condition known as immunological non-response(INRs).INRs are associated with elevated health risks,including increased susceptibility to AIDS-related and non-AIDS-related complications.The pathogenesis of INRs remains incompletely understood,and no established therapeutic interventions exist,posing a major challenge in contemporary HIV/AIDS management.Emerging evidence indicates that INRs exhibit significant alterations in gut microbiota composition.Dysbiosis of the gut microbiota may contribute to persistent immune activation,cytokine imbalance,and cellular pyroptosis,all of which could impair immune reconstitution in people living with HIV/AIDS.Traditional Chinese medicine(TCM)has demonstrated potential immunomodulatory effects and is increasingly utilized in the management of INRs.Targeting the gut microbiota and elucidating the mechanisms by which TCM modulates this microbial ecosystem may offer new avenues for preventing and treating INRs.This review explores the interplay between gut microbiota and TCM,examines the association between gut dysbiosis and INRs,discusses the mechanistic pathways through which microbiota imbalance contributes to INRs development,and highlights how TCM interventions regulate gut microbiota to promote immune recovery.By focusing on the gut microbiota as a therapeutic interface,this article provides novel insights into TCM-based strategies for improving outcomes in INRs and supports the development of innovative treatment approaches.
基金supported by the National Natural Science Foundation of China (No. 82374195)。
文摘Chronic heart failure(CHF) remains a global health challenge with limited therapeutic options. Mitochondrial dysfunction is a key pathological feature, and traditional Chinese medicine(TCM) shows unique potential in targeting this mechanism. Evidence from human and animal models of heart failure indicates that TCM can restore mitochondrial function by regulating mitochondrial Ca^(2+) homeostasis, oxidative stress, energy metabolism, mitochondrial dynamics, and mitophagy. TCM-based treatment of CHF offers notable clinical advantages, including improved therapeutic efficacy, enhanced cardiac function, and reduced incidence of major cardiovascular events. Experimental studies demonstrate that TCM decoctions and monomers modulate signaling pathways such as PPAR–RXRα, NF-κB, and PI3K/AKT to alleviate oxidative stress. TCM also increases AMPK activity via phosphorylation of PGC-1α, indirectly promoting mitochondrial biogenesis;attenuates calcium influx and enhances Ca^(2+) reuptake, thereby ameliorating myocardial mitochondrial dysfunction in CHF;and improves CHF by rebalancing mitochondrial dynamics and autophagy.
文摘Dengue fever is an acute infectious disease caused by the dengue virus and transmitted by mosquito vectors[1].Its clinical manifestations include high fever,headache,muscle and joint pain,and rash.It holds a significant position in global public health.In recent years,its incidence has continued to rise worldwide[2],making it one of the major diseases threatening human health.The disease course of dengue fever is divided into three typical phases:the acute febrile phase,the critical phase,and the recovery phase.While most patients experience mild symptoms,some may progress to severe dengue and potentially fatal outcomes if not promptly and effectively treated during the critical phase.
