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 intel...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.展开更多
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 ...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.展开更多
BACKGROUND Heart failure(HF),a common cardiovascular condition,is characterized by significant morbidity and mortality.While traditional Chinese medicine(TCM)is often used as a complementary approach in HF management,...BACKGROUND Heart failure(HF),a common cardiovascular condition,is characterized by significant morbidity and mortality.While traditional Chinese medicine(TCM)is often used as a complementary approach in HF management,systematic evalua-tions of its impact on clinical outcomes,TCM syndrome scores,and B-type natriuretic peptide(BNP)levels are lacking.This study fills this gap through a comprehensive analysis of randomized controlled trials(RCTs)focusing on TCM for HF treatment.It encompasses an assessment of methodological quality,a meta-analysis,and an evaluation of evidence quality based on established standards.The results offer crucial insights into the potential advantages and constraints of TCM in HF management.RCTs on TCM for HF treatment published since the establishment of the database were searched in four Chinese and English databases,including China National Knowledge Infrastructure,Wanfang,VIP Information Chinese Science and Technology Journal,and PubMed.Methodological quality was assessed for the included studies with the Cochrane risk-of-bias assessment tool,and the meta-analysis and publication bias assessment was performed with the RevMan5.3 software.Finally,the quality of evidence was rated according to the GRADE criteria.RESULTS A total of 1098 RCTs were initially retrieved.After screening,16 RCTs were finally included in our study,which were published between 2020 and 2023.These RCTs involved 1660 HF patients,including 832 in the TCM group[TCM combined with conventional Western medicine(CMW)treatment]and 828 in the CWM group(CWM treatment).The course of treatments varied from 1 wk to 3 months.TCM syndrome differentiation was analyzed in 11 of the included RCTs.In all included RCTs,outcome indicators included comprehensive clinical outcomes,TCM syndrome scores,and BNP levels.The meta-analysis results showed significant differences between the TCM and CWM groups in terms of comprehensive clinical outcomes[risk ratio=-0.54;95%confidence interval(CI)=-0.61,-0.47;P<0.00001],TCM syndrome scores[weighted mean difference(WMD)=-142.07;95%CI=-147.56,-136.57;P<0.00001],and BNP levels(WMD=-142.07;95%CI=-147.56,-136.57;P<0.00001).According to the GRADE criteria,RCTs where"TCM improves clinical comprehensive outcomes"were rated as low-quality evidence,and RCTs where"TCM reduces TCM syndrome scores"or"TCM decreases BNP levels"were rated as medium-quality evidence.CONCLUSION TCM combined with CWM treatment effectively improves comprehensive clinical outcomes and diminishes TCM syndrome scores and BNP levels in HF patients.Given the low and medium quality of the included RCTs,the application of these results should be cautious.展开更多
Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve ...Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.展开更多
Psoriasis is a kind of immune-mediated, chronic, inflammatory skin disease, which is often associated with different degrees of psychological disorders. Specifically, there is a significant correlation between psorias...Psoriasis is a kind of immune-mediated, chronic, inflammatory skin disease, which is often associated with different degrees of psychological disorders. Specifically, there is a significant correlation between psoriasis and depression, and they show the relationships of reciprocal causation and mutual promotion. Psoriasis with depression is more harmful than simple psoriasis, and its prognosis is worse, which brings a huge burden to the family and society and is worthy of clinical attention. Based on the pathogenic factors of western medicine and pathogenesis of traditional Chinese medicine in psoriasis with depression, the paper summarized and elaborated the research progress on the mechanism of traditional Chinese medicine in the treatment of psoriasis with depression, in order to provide new ideas for clinical treatment.展开更多
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 desig...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.展开更多
Acute lung injury(ALI)has multiple causes and can easily progress to acute respiratory distress syndrome(ARDS)if not properly treated.Nuclear factorκB(NF-κB)is a key pathway in the treatment of ALI/ARDS.By exploring...Acute lung injury(ALI)has multiple causes and can easily progress to acute respiratory distress syndrome(ARDS)if not properly treated.Nuclear factorκB(NF-κB)is a key pathway in the treatment of ALI/ARDS.By exploring the relevance of NF-κB and the pathogenesis of this disease,it was found that this disease was mainly associated with inflammation,dysfunction of the endothelial barrier,oxidative stress,impaired clearance of alveolar fluid,and coagulation disorders.Traditional Chinese medicine(TCM)has the characteristics of multitargeting,multipathway effects,and high safety,which can directly or indirectly affect the treatment of ALI/ARDS.This article summarizes the mechanism and treatment strategies of TCM in recent years through intervention in the NF-κB-related signaling pathways for treating ALI/ARDS.It provides an overview from the perspectives of Chinese herbal monomers,TCM couplet medicines,TCM injections,Chinese herbal compounds,and Chinese herbal preparations,offering insights into the prevention and treatment of ALI/ARDS with TCM.展开更多
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 therapeut...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.展开更多
BACKGROUND Ulcerative colitis(UC)is considered to be closely associated with alteration of intestinal microorganisms.According to the traditional Chinese medicine(TCM)theory,UC can be divided into two disease syndrome...BACKGROUND Ulcerative colitis(UC)is considered to be closely associated with alteration of intestinal microorganisms.According to the traditional Chinese medicine(TCM)theory,UC can be divided into two disease syndromes called Pi-Xu-Shi-Yun(PXSY)and Da-Chang-Shi-Re(DCSR).The relationships among gut microbiota,TCM syndromes,and UC pathogenesis have not been well investigated.AIM To investigate the role of gut microbiota in UC and the distinction of microbiota dysbiosis between PXSY and DCSR syndromes.METHODS From May 2015 to February 2016,UC patients presenting to LongHua Hospital who met the established inclusion and exclusion criteria were enrolled in this retrospective study.Fresh stool specimens of UC patients with PXSY or DCSR were collected.The feces of the control group came from the health examination population of Longhua Hospital.The composition of gut bacterial communities in stool samples was determined by the pyrosequencing of 16S ribosomal RNA.The high-throughput sequencing reads were processed with QIIME,and biological functions were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States.RESULTS The composition of gut bacterial communities in 93 stool samples(30 healthy controls,32 patients with PXSY syndrome,and 31 patients with DCSR syndrome)was determined by the pyrosequencing of 16S ribosomal RNA.Beta diversity showed that the composition of the microbiota was different among the three groups.At the family level,Porphyromonadaceae,Rikeneliaceae,and Lachnospiraceae significantly decreased while Enterococcus,Streptococcus,and other potential pathogens significantly increased in UC patients compared to healthy subjects.At the genus level,Parabacteroides,Dorea,and Ruminococcus decreased while Faeca-libacterium showed increased abundance in UC compared to healthy controls.Five differential taxa were identified between PXSY and DCSR syndromes.At the genus level,a significantly increased abundance of Streptococcus was observed in DCSR patients,while Lachnoclostridium increased in PXSY patients.The differential functional pathways of the gut microbiome between the PXSY and DCSR groups mainly included lipid metabolism,immunity,and the metabolism of polypeptides.CONCLUSION Our study suggests that the gut microbiota contributes to the distinction between the two TCM syndromes of UC.展开更多
ABM: This study aims at exploring the distribution of TCM syndromes in CHB patients with HBV pre-core mutation (1896) and the relationship between pre-core mutation and T lymphocytes subgroup, through which to provide...ABM: This study aims at exploring the distribution of TCM syndromes in CHB patients with HBV pre-core mutation (1896) and the relationship between pre-core mutation and T lymphocytes subgroup, through which to provide objective data on clinical syndrome differentiation of TCM, and further to suggest the therapeutic principle and guide clinical treatment. METHODS: One hundred and forty CHB patients were evenly divided into two study groups, HBV pre-core mutant group and HBV pre-core wild-type group. Besides, 30 healthy blood donors were selected as a healthy control group. HBV-labeled compound, T lymphocytes subgroup, and HBV-DNA pre-core mutant were tested in the study groups. T lymphocytes subgroup were also tested in the control group. All the patients were both diagnosed by syndrome differentiation of TCM and western medicine. RESULTS: The most common syndrome in mutant group was damp-heat combined with blood stasis, and the most common syndrome in the wild-type group was damp-heat stasis in the middle-jiao. There were more cases of medium and severe hepatitis in mutant group than that in wild-type group. The content of CD4+ lymphocytes and CD4+/CD8+ ratio were decreased gradually (healthy control group>wild-type group>mutant group). In the wild-type group, severe and medium CHB patients had considerably lower level of them than mild CHB patients. However, in the mutant group, the opposite result appeared. Meanwhile, the content of HBV-DNA in mutant group was higher than that in wild-type group. CONCLUSION: Damp, heat, toxin and blood stasis were the basic pathogens of CHB, whether pre-core mutant or not. CHB with precore mutant may lead to more severe hepatitis. The decreased content of CD4+ lymphocytes and ratio of CD4+/CD8+ may be taken as one of the indices in confirming the deficiency syndrome of CHB patients with pre-core mutation.展开更多
In order to deal with the unclear absorption peak caused by the absorption peak overlap of traditional Chinese medicine(TCM)and other mixtures,a method of three unsupervised clustering algorithms as K-means,K-medoids ...In order to deal with the unclear absorption peak caused by the absorption peak overlap of traditional Chinese medicine(TCM)and other mixtures,a method of three unsupervised clustering algorithms as K-means,K-medoids and Fuzzy C-means(FCM)combined with the first derivative characteristics of terahertz absorption spectrum,is proposed to perform the terahertz spectra clustering of Sanchi and other three kinds of TCM compared with their easily-confused products(ECPs).These three unsupervised clustering methods complement the scope of the supervised learning classification method.The first derivative of the spectrum could amplify the difference in the absorption coefficient with different substances,so that the obvious absorption peak can be revealed.Experiments shows that these three clustering algorithms can achieve good results by combining the origin absorption coefficient with its first-order derivative as the characteristic data,and among which K-means does the best with the accuracy of95.32%.Compared with pure absorption coefficient data clustering,the accuracy in this study has been significantly improved,especially for the non-absorption-peak TCM classification.And the accuracy of K-means algorithm is improved by5.38%.Besides,clustering algorithms in this study have strong anti-interference ability to the error data.展开更多
Objective:To observe and evaluate a method that is effective and practical for treatment of cerebral palsied(CP)children in China.Method:The patient's age and disease type and individual specific conditions were c...Objective:To observe and evaluate a method that is effective and practical for treatment of cerebral palsied(CP)children in China.Method:The patient's age and disease type and individual specific conditions were considered in choosingtherapy methods accordingly:Chinese herbs,acupuncture,auricnlar seed pressure,point finger pressing,massage,orthopedichand manipulation,physiotherapy,occupational therapy,language therapy,etc.Meanwhile we created a new CP treatment modelthat combines hospitalized treatment with family therapy.Results:The majority of CP patients improved greatly in motor andsocial adaptation capacities after treatment.Wilcoxon paired rank sum test analysis showed that there were significant differencesbetween the data before and after treatment(P<0.01).Conclusion:This combined therapy method,based on traditional Chinesemedicine and western medicine plus family supplemental therapy,is an effective and practical treatment strategy for CP children inChina.展开更多
Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Ch...Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Chinese medicine”,“chemotherapy”and“diarrhea”as the theme words,comprehensive search of the database of CNKI,Wanfang and VIP from its inception to November 2020 was conduct-ed.The formulas of external treatment of traditional Chinese medicine for chemotherapy-induced diarrhea were included and the association rule,clustering and factor analysis were carried out.Results:A total of 145 papers,57 prescriptions meeting the inclusion criteria were collected,among which high-frequency drugs including Baizhu(Atractylodis macrocephalae rhizoma),Fuling(Poria),Dangshen(Codonopsisradix),Huanglian(Coptidis rhizoma),Zhigancao(Glycyrrhizae radix et rhizoma praeparata cum melle)were the most commonly used.The confidence level was set as 0.7 and the support level was set as 10,12 core compatibility groups were obtained,and 6 categories were cluster analyzed.Conclusion:The principle of external treatment of chemotherapy-induced diarrhea is mainly“restore deficiency and benefiting qi”,“benefiting water infiltration and dampness”,“clearing heat”and“inducing astringency”.Prescription combination and new prescription combination based on traditional Chinese medicine(TCM)inheritance computing platform system can be used as reference for clinicians and applied in primary hospitals.展开更多
Although the animal models of hepatic fibrosis developed by former researchers have pathological changes of hepatic fibrosis, they do not include charac- teristics of important TCM syndromes such as stagnation of qi, ...Although the animal models of hepatic fibrosis developed by former researchers have pathological changes of hepatic fibrosis, they do not include charac- teristics of important TCM syndromes such as stagnation of qi, deficiency of qi, liver depression, phlegm-dampness and blood stasis because of single-factor model- ing. Animal models of hepatic fibrosis and animal models integrated disease and syndrome were reviewed, and several new types of integrated disease and syndrome animal models constructed by multiple-factor modeling method were evaluated, under the guidance of etiological theory of TCM. This kind of hepatic fibrosis model animals has dual characteristics of disease and syndrome. It is consistent with pathological characteristics of hepatic fibrosis in western medicine when replicating the basic characteristics accorded with TCM syndrome. Thus, the pathogenesis and pathogenic process of clinical disease and syndrome formation is simulated more ac- curately, providing a new platform and pathway for studying hepatic fibrosis disease with integrated traditional Chinese and western medicine.展开更多
Background:Traditional Chinese medicine(TCM)syndrome,also named syndrome,are comprehensive and integral analyses of clinical information which helps to guide different individualized treatment prescriptions.Methods:Th...Background:Traditional Chinese medicine(TCM)syndrome,also named syndrome,are comprehensive and integral analyses of clinical information which helps to guide different individualized treatment prescriptions.Methods:Thirty healthy controls and 80 colorectal cancer(CRC)patients(including 33 Spleen Qi Deficiency syndrome,23 Dampness Heat syndrome,17 Blood Stasis syndrome and 7 other syndrome)were enrolled into this study.Human mRNAs were extracted from peripheral blood mononuclear cells.The gene expression for CRC patients with different TCM syndrome was determined by microarray and qRT-PCR.Results:Spleen Qi Deficiency,Dampness Heat and Blood Stasis were the most common syndromes in CRC patients.There is a significant difference was found in mRNA expression levels(especially for PIK3CA,STAT3,SOX9 and KDM5C)among Spleen Qi Deficiency,Dampness Heat and Blood Stasis syndrome groups.The higher mRNA levels of JNK1,TP53,MLH1,MSH6,PMS2,SOCS3,TCF7L2,FAM123B,PSAP,FBXW7,SALL4 and the lower expression of inflammatory cytokine IL-6 were found in Spleen Qi Deficiency group but not other syndrome types.The higher mRNA levels of KRAS,MUC16,EGFR,GRASP65,PIK3CA,MAPK7,CD24,STAT3,SLC11A1,Bcl-2,TXNDC17 and some inflammatory cytokines(IL-6,IL-23,TNF-a,CXCR4)were found in Dampness Heat group but not other syndrome types.Blood Stasis syndrome showed higher expression of SOX9,MLH1,MSH6,KDM5C,PCDH11X,PSAP and SALL4,and lower mRNA levels of PIK3CA,CD24,STAT3,CXCR4,TXNDC17 and TP53.The CRC patients with Dampness Heat syndrome might have a poor prognosis than other syndrome types.Conclusion:The identification of syndrome conditions had different impacts on CRC prognosis,and which might be related with different mRNA expression levels.Some oncogenes and pro-inflammatory cytokines were highly expressed in Dampness Heat group but not other syndrome types,suggesting that the CRC patients with Dampness Heat syndrome might have a poor prognosis.Our results prelimitarily uncovered the molecular basis of syndrome differences in CRC prognosis,a better understanding for TCM treatment of CRC.展开更多
Objective:To explore the structural and functional characteristics of microbiota in oropharynx of subhealthy children with gastrointestinal heat retention syndrome(GHRS)differentiated by traditional Chinese medicine,a...Objective:To explore the structural and functional characteristics of microbiota in oropharynx of subhealthy children with gastrointestinal heat retention syndrome(GHRS)differentiated by traditional Chinese medicine,and screen the biometric operational taxonomic units(OTUs)to assist the clinical diagnosis.Methods:We recruited children according to the“GHRS diagnostic scale”,collected their oropharyngeal swabs,and sequenced the 16 SrDNA V4 region.We described the bacterial structure with alpha-indexes,beta-distances,and relative abundances;moreover,we screened the differential genera/OTUs with Wilcoxon rank-sum test,Metagenome Seq analysis,and linear discriminant analysis effect size(LEf Se)analysis,in which biometric OTUs were selected to construct the receiver operating characteristic curve to verify the diagnostic value.The bacterial function was predicted with Kyoto Encyclopedia of Genes and Genomes pathways according to 16S rDNA gene by using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States.Results:The study population was composed of 10 children with GHRS and 10 healthy control children.GHRS children were more likely to overeat(gluttony,P=.033).Alpha-indexes,such as Sobs,abundancebased coverage estimator,Bootstrap,and Qstat,were significantly higher in the GHRS group,while betadistances did not exhibit any significant intergroup differences.There were 9 differently distributed nonpredominant genera between the groups in Wilcoxon rank-sum test,as well as 13 non-predominant genera in Metagenome Seq analysis and 3 non-predominant OTUs in LEfSe analysis.OTU44 and OTU196 were used to construct the receiver operating characteristic curve,and the area under curve was 0.92.Predicted functions showed that pathways related to oxidative phosphorylation and carbon metabolism were enriched in healthy control samples,while the pathway related to renin secretion was remarkably enriched in GHRS samples.Conclusion:Unique oropharyngeal microbial structure and function were identified in GHRS children.OTU44 and OTU196 were specific OTUs,which could be used as biomarkers of GHRS to assist clinical diagnosis.展开更多
Traditional Chinese Medicine (TCM) is the medical science based on theories and practicing experience of traditional Chinese medicine to study transferring principles of health and sickness,as well as prevention, diag...Traditional Chinese Medicine (TCM) is the medical science based on theories and practicing experience of traditional Chinese medicine to study transferring principles of health and sickness,as well as prevention, diagnosis,treatment,rehabilitation and healthcare.TCM is marked with its long history of development,integrated theory system and abundant practicing experience.展开更多
Background:Traditional Chinese medicine(TCM)syndrome is the basic unit of TCM treatment,which help clinicians assess the disease progression and treatment preoperative of tumor patients.However,the prognostic signific...Background:Traditional Chinese medicine(TCM)syndrome is the basic unit of TCM treatment,which help clinicians assess the disease progression and treatment preoperative of tumor patients.However,the prognostic significance of TCM syndrome is still unclear.This study aims to detect the differences in overall survival between different TCM syndrome and further develop a new nomogram with TCM syndrome for predicting overall survival in colorectal cancer.Methods:A total of 324 patients with colorectal cancer were enrolled and categorized into three groups based on TCM syndrome:deficiency,excess,and deficiency-excess.The prognosis of colorectal cancer patients with different TCM syndromes was evaluated using Kaplan-Meier analysis and Cox regression analysis.Results:The proportion of advanced stage and lymph metastasis in the patients with deficiency syndrome was higher,and the overall survival was shorter than other syndromes.Meanwhile,the TCM syndrome(P<0.001),tumor invasion depth(P<0.001),lymph metastasis(P=0.018),organic metastasis(P=0.005)and tumor node metastasis(TNM)stage(P=0.029)were the independent prognostic factor.Then,a new nomogram with TCM syndrome was established and assessed.324 colorectal cancer patients were randomly divided into training(n=215)and validation cohorts(n=109).A nomogram incorporating preoperative TCM syndrome,gender,age,T,N,and M status was developed,which had good discrimination and calibration.Conclusion:Taken together,our results indicated that TCM syndrome could assess the prognosis of colorectal cancer.The nomogram incorporating TCM syndromes and tumor information is helpful for risk stratification and prognostic predictions in colorectal cancer preoperatively.展开更多
Objective:To analyze the clinical research literatures of TCM syndromes and treatment of Immunoglobulin A Nephropathy(IgAN)on data-mining technology,and explore the rules of TCM syndromes and Chinese medication.Method...Objective:To analyze the clinical research literatures of TCM syndromes and treatment of Immunoglobulin A Nephropathy(IgAN)on data-mining technology,and explore the rules of TCM syndromes and Chinese medication.Methods:By searching the clinical literatures about TCM syndromes and treatment of IgAN had published in China Biomedical Literature Database,CNKI Database,Wanfang Database,and Chongqing Weipu Database from January 2000 to September 2019.Strictly according to the inclusion and exclusion criteria,included documents and established the databases.Applicated of statistical software for frequency analysis of TCM syndromes,Chinese herbal medicines,and analyzed the commonly used Chinese herbal medicines by factor analysis and cluster analysis.Results:292 literatures were finally included,involving 28 syndromes.A total of 479 prescriptions and 254 Chinese herbs were used.The rules of syndromes in IgA nephropathy are as follows:the syndromes are mainly composed of Qi and Yin deficiency syndrome,followed by the Spleen and kidney qi deficiency syndrome,Liver and Kidney Yin Deficiency Syndrome,Spleen and kidney yang deficiency syndrome.The blood-stasis syndrome,damp-heat syndrome and wind-heat disturbance syndrome are accompanied by other syndrome.The characteristics of traditional Chinese medicines for IgA nephropathy is mainly composed of tonic deficiency medicines,supplemented by blood-activating and stasis-eliminating medicines,heat-clearing medicines,inducing diuresis and excreting dampness medicines and astringent medicines to combine with formulas.Conclusion:Through Data-mining method systematically summarized the rules of TCM syndromes and Chinese medication in treating IgAN and provided scientific theoretical guidance for the treatment of IgAN.展开更多
"Yi"is defined in traditional Chinese medicine theory as the general pathological conditions of epidemics.Throughout thousands of years of history,TCM has been playing an essential role in preventing and tre..."Yi"is defined in traditional Chinese medicine theory as the general pathological conditions of epidemics.Throughout thousands of years of history,TCM has been playing an essential role in preventing and treating epidemics in China.Showing significant efficacy against severe acute respiratory syndrome(SARS)in 2002 and 2003,a medical intervention involving TCM was applied at the beginning of the pandemic of the corona virus disease 2019(COVID-19),and has been found with good preventive and curative value in clinical practice.In this study,the etiology and pathogenic mechanism of COVID-19 was discussed on a TCM theory basis,and the clinically effective prevention and treatment methods/prescriptions were summarized.It is suggested that TCM has been playing a unique and vital role in preventing and treating COVID-19,and thus contributes greatly to public health.展开更多
基金Supported by Hunan Province Traditional Chinese Medicine Research Project(No.B2023043)Hunan Provincial Department of Education Scientific Research Project(No.22B0386)Hunan University of Traditional Chinese Medicine Campus level Research Fund Project(No.2022XJZKC004).
文摘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.
基金National Natural Science Foundation of China(81960877).
文摘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.
文摘BACKGROUND Heart failure(HF),a common cardiovascular condition,is characterized by significant morbidity and mortality.While traditional Chinese medicine(TCM)is often used as a complementary approach in HF management,systematic evalua-tions of its impact on clinical outcomes,TCM syndrome scores,and B-type natriuretic peptide(BNP)levels are lacking.This study fills this gap through a comprehensive analysis of randomized controlled trials(RCTs)focusing on TCM for HF treatment.It encompasses an assessment of methodological quality,a meta-analysis,and an evaluation of evidence quality based on established standards.The results offer crucial insights into the potential advantages and constraints of TCM in HF management.RCTs on TCM for HF treatment published since the establishment of the database were searched in four Chinese and English databases,including China National Knowledge Infrastructure,Wanfang,VIP Information Chinese Science and Technology Journal,and PubMed.Methodological quality was assessed for the included studies with the Cochrane risk-of-bias assessment tool,and the meta-analysis and publication bias assessment was performed with the RevMan5.3 software.Finally,the quality of evidence was rated according to the GRADE criteria.RESULTS A total of 1098 RCTs were initially retrieved.After screening,16 RCTs were finally included in our study,which were published between 2020 and 2023.These RCTs involved 1660 HF patients,including 832 in the TCM group[TCM combined with conventional Western medicine(CMW)treatment]and 828 in the CWM group(CWM treatment).The course of treatments varied from 1 wk to 3 months.TCM syndrome differentiation was analyzed in 11 of the included RCTs.In all included RCTs,outcome indicators included comprehensive clinical outcomes,TCM syndrome scores,and BNP levels.The meta-analysis results showed significant differences between the TCM and CWM groups in terms of comprehensive clinical outcomes[risk ratio=-0.54;95%confidence interval(CI)=-0.61,-0.47;P<0.00001],TCM syndrome scores[weighted mean difference(WMD)=-142.07;95%CI=-147.56,-136.57;P<0.00001],and BNP levels(WMD=-142.07;95%CI=-147.56,-136.57;P<0.00001).According to the GRADE criteria,RCTs where"TCM improves clinical comprehensive outcomes"were rated as low-quality evidence,and RCTs where"TCM reduces TCM syndrome scores"or"TCM decreases BNP levels"were rated as medium-quality evidence.CONCLUSION TCM combined with CWM treatment effectively improves comprehensive clinical outcomes and diminishes TCM syndrome scores and BNP levels in HF patients.Given the low and medium quality of the included RCTs,the application of these results should be cautious.
基金National Natural Science Foundation of China(82274265 and 82274588)Hunan University of Traditional Chinese Medicine Research Unveiled Marshal Programs(2022XJJB003).
文摘Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM);artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However;the research on intelligent eye diagnosis still faces many challenges;including the lack of standardized and precisely labeled data;multi-modal information analysis;and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis;and explores the implications for the research of eye diagno-sis intelligence.First;a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next;the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last;the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary;research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.
基金National Natural Science Foundation of China(No.81973846)Heilongjiang Province Traditional Chinese Medicine Research Fund Projec(No.t ZHY2022-132)。
文摘Psoriasis is a kind of immune-mediated, chronic, inflammatory skin disease, which is often associated with different degrees of psychological disorders. Specifically, there is a significant correlation between psoriasis and depression, and they show the relationships of reciprocal causation and mutual promotion. Psoriasis with depression is more harmful than simple psoriasis, and its prognosis is worse, which brings a huge burden to the family and society and is worthy of clinical attention. Based on the pathogenic factors of western medicine and pathogenesis of traditional Chinese medicine in psoriasis with depression, the paper summarized and elaborated the research progress on the mechanism of traditional Chinese medicine in the treatment of psoriasis with depression, in order to provide new ideas for clinical treatment.
基金Key research project of Hunan Provincial Administration of Traditional Chinese Medicine(A2023048)Key Research Foundation of Education Bureau of Hunan Province,China(23A0273).
文摘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.
基金supported by the Construction Project of Tu Jinwen National Chinese Medical Master Inheritance Studio of National Administration of Traditional Chinese Medicine(National TCMEducation Letter[2022]No.245)Hubei Province Public Health Youth Top Talents Training Program(Hubei Health Notice[2021]No.74).
文摘Acute lung injury(ALI)has multiple causes and can easily progress to acute respiratory distress syndrome(ARDS)if not properly treated.Nuclear factorκB(NF-κB)is a key pathway in the treatment of ALI/ARDS.By exploring the relevance of NF-κB and the pathogenesis of this disease,it was found that this disease was mainly associated with inflammation,dysfunction of the endothelial barrier,oxidative stress,impaired clearance of alveolar fluid,and coagulation disorders.Traditional Chinese medicine(TCM)has the characteristics of multitargeting,multipathway effects,and high safety,which can directly or indirectly affect the treatment of ALI/ARDS.This article summarizes the mechanism and treatment strategies of TCM in recent years through intervention in the NF-κB-related signaling pathways for treating ALI/ARDS.It provides an overview from the perspectives of Chinese herbal monomers,TCM couplet medicines,TCM injections,Chinese herbal compounds,and Chinese herbal preparations,offering insights into the prevention and treatment of ALI/ARDS with TCM.
文摘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.
基金Supported by the National Natural Science Foundation of China,No.81704009,No.81873253,No.81573892,and No.81770571the Project of Shanghai Municipal Health and Family Planning Commission,No.201640122
文摘BACKGROUND Ulcerative colitis(UC)is considered to be closely associated with alteration of intestinal microorganisms.According to the traditional Chinese medicine(TCM)theory,UC can be divided into two disease syndromes called Pi-Xu-Shi-Yun(PXSY)and Da-Chang-Shi-Re(DCSR).The relationships among gut microbiota,TCM syndromes,and UC pathogenesis have not been well investigated.AIM To investigate the role of gut microbiota in UC and the distinction of microbiota dysbiosis between PXSY and DCSR syndromes.METHODS From May 2015 to February 2016,UC patients presenting to LongHua Hospital who met the established inclusion and exclusion criteria were enrolled in this retrospective study.Fresh stool specimens of UC patients with PXSY or DCSR were collected.The feces of the control group came from the health examination population of Longhua Hospital.The composition of gut bacterial communities in stool samples was determined by the pyrosequencing of 16S ribosomal RNA.The high-throughput sequencing reads were processed with QIIME,and biological functions were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States.RESULTS The composition of gut bacterial communities in 93 stool samples(30 healthy controls,32 patients with PXSY syndrome,and 31 patients with DCSR syndrome)was determined by the pyrosequencing of 16S ribosomal RNA.Beta diversity showed that the composition of the microbiota was different among the three groups.At the family level,Porphyromonadaceae,Rikeneliaceae,and Lachnospiraceae significantly decreased while Enterococcus,Streptococcus,and other potential pathogens significantly increased in UC patients compared to healthy subjects.At the genus level,Parabacteroides,Dorea,and Ruminococcus decreased while Faeca-libacterium showed increased abundance in UC compared to healthy controls.Five differential taxa were identified between PXSY and DCSR syndromes.At the genus level,a significantly increased abundance of Streptococcus was observed in DCSR patients,while Lachnoclostridium increased in PXSY patients.The differential functional pathways of the gut microbiome between the PXSY and DCSR groups mainly included lipid metabolism,immunity,and the metabolism of polypeptides.CONCLUSION Our study suggests that the gut microbiota contributes to the distinction between the two TCM syndromes of UC.
基金Supported by the Foundation of TCM Administration Bureau, Guangdong Province, No. 100115
文摘ABM: This study aims at exploring the distribution of TCM syndromes in CHB patients with HBV pre-core mutation (1896) and the relationship between pre-core mutation and T lymphocytes subgroup, through which to provide objective data on clinical syndrome differentiation of TCM, and further to suggest the therapeutic principle and guide clinical treatment. METHODS: One hundred and forty CHB patients were evenly divided into two study groups, HBV pre-core mutant group and HBV pre-core wild-type group. Besides, 30 healthy blood donors were selected as a healthy control group. HBV-labeled compound, T lymphocytes subgroup, and HBV-DNA pre-core mutant were tested in the study groups. T lymphocytes subgroup were also tested in the control group. All the patients were both diagnosed by syndrome differentiation of TCM and western medicine. RESULTS: The most common syndrome in mutant group was damp-heat combined with blood stasis, and the most common syndrome in the wild-type group was damp-heat stasis in the middle-jiao. There were more cases of medium and severe hepatitis in mutant group than that in wild-type group. The content of CD4+ lymphocytes and CD4+/CD8+ ratio were decreased gradually (healthy control group>wild-type group>mutant group). In the wild-type group, severe and medium CHB patients had considerably lower level of them than mild CHB patients. However, in the mutant group, the opposite result appeared. Meanwhile, the content of HBV-DNA in mutant group was higher than that in wild-type group. CONCLUSION: Damp, heat, toxin and blood stasis were the basic pathogens of CHB, whether pre-core mutant or not. CHB with precore mutant may lead to more severe hepatitis. The decreased content of CD4+ lymphocytes and ratio of CD4+/CD8+ may be taken as one of the indices in confirming the deficiency syndrome of CHB patients with pre-core mutation.
基金National Natural Science Foundation of China(No.61675151)
文摘In order to deal with the unclear absorption peak caused by the absorption peak overlap of traditional Chinese medicine(TCM)and other mixtures,a method of three unsupervised clustering algorithms as K-means,K-medoids and Fuzzy C-means(FCM)combined with the first derivative characteristics of terahertz absorption spectrum,is proposed to perform the terahertz spectra clustering of Sanchi and other three kinds of TCM compared with their easily-confused products(ECPs).These three unsupervised clustering methods complement the scope of the supervised learning classification method.The first derivative of the spectrum could amplify the difference in the absorption coefficient with different substances,so that the obvious absorption peak can be revealed.Experiments shows that these three clustering algorithms can achieve good results by combining the origin absorption coefficient with its first-order derivative as the characteristic data,and among which K-means does the best with the accuracy of95.32%.Compared with pure absorption coefficient data clustering,the accuracy in this study has been significantly improved,especially for the non-absorption-peak TCM classification.And the accuracy of K-means algorithm is improved by5.38%.Besides,clustering algorithms in this study have strong anti-interference ability to the error data.
文摘Objective:To observe and evaluate a method that is effective and practical for treatment of cerebral palsied(CP)children in China.Method:The patient's age and disease type and individual specific conditions were considered in choosingtherapy methods accordingly:Chinese herbs,acupuncture,auricnlar seed pressure,point finger pressing,massage,orthopedichand manipulation,physiotherapy,occupational therapy,language therapy,etc.Meanwhile we created a new CP treatment modelthat combines hospitalized treatment with family therapy.Results:The majority of CP patients improved greatly in motor andsocial adaptation capacities after treatment.Wilcoxon paired rank sum test analysis showed that there were significant differencesbetween the data before and after treatment(P<0.01).Conclusion:This combined therapy method,based on traditional Chinesemedicine and western medicine plus family supplemental therapy,is an effective and practical treatment strategy for CP children inChina.
基金National Natural Science Foundation of China Youth Science Foundation Project(No.81904001)Capital Health Development Scientific Research Project(No.first issue 2018-1-4061)+1 种基金State Administration of Traditional Chinese Medicine Clinical Collaboration Project of TCM and Western Medicine for Major and Intractable Diseases(No.2019-ZX-005)In-Hospital Project of China-Japan Friendship Hospital(No.2019-1-QN-56)。
文摘Objective:To dig deeper into the traditional Chinese medicine treatment rules of chemotherapy-induced diarrhea with traditional Chinese medicine(TCM)inheritance computing platform system.Methods:Taking“traditional Chinese medicine”,“chemotherapy”and“diarrhea”as the theme words,comprehensive search of the database of CNKI,Wanfang and VIP from its inception to November 2020 was conduct-ed.The formulas of external treatment of traditional Chinese medicine for chemotherapy-induced diarrhea were included and the association rule,clustering and factor analysis were carried out.Results:A total of 145 papers,57 prescriptions meeting the inclusion criteria were collected,among which high-frequency drugs including Baizhu(Atractylodis macrocephalae rhizoma),Fuling(Poria),Dangshen(Codonopsisradix),Huanglian(Coptidis rhizoma),Zhigancao(Glycyrrhizae radix et rhizoma praeparata cum melle)were the most commonly used.The confidence level was set as 0.7 and the support level was set as 10,12 core compatibility groups were obtained,and 6 categories were cluster analyzed.Conclusion:The principle of external treatment of chemotherapy-induced diarrhea is mainly“restore deficiency and benefiting qi”,“benefiting water infiltration and dampness”,“clearing heat”and“inducing astringency”.Prescription combination and new prescription combination based on traditional Chinese medicine(TCM)inheritance computing platform system can be used as reference for clinicians and applied in primary hospitals.
基金Supported by National Natural Science Foundation of China(81403189,81460628,81660705,81560690)Scientific Research Project of Higher Education in Guangxi Department of Education(YB2014182)
文摘Although the animal models of hepatic fibrosis developed by former researchers have pathological changes of hepatic fibrosis, they do not include charac- teristics of important TCM syndromes such as stagnation of qi, deficiency of qi, liver depression, phlegm-dampness and blood stasis because of single-factor model- ing. Animal models of hepatic fibrosis and animal models integrated disease and syndrome were reviewed, and several new types of integrated disease and syndrome animal models constructed by multiple-factor modeling method were evaluated, under the guidance of etiological theory of TCM. This kind of hepatic fibrosis model animals has dual characteristics of disease and syndrome. It is consistent with pathological characteristics of hepatic fibrosis in western medicine when replicating the basic characteristics accorded with TCM syndrome. Thus, the pathogenesis and pathogenic process of clinical disease and syndrome formation is simulated more ac- curately, providing a new platform and pathway for studying hepatic fibrosis disease with integrated traditional Chinese and western medicine.
基金This research was supported by grants from National Natural Science Foundation of China(grant No.81874380,81672932,81730108 and 81973635)Zhejiang Provincial Natural Science Foundation of China for Distinguished Young Scholars(grant No.LR18H160001)+6 种基金Zhejiang Province Science and Technology Project of TCM(grant No.2019ZZ016)Zhejiang Province Medical Science and Technology Project(grant No.2017RC007)Talent Project of Zhejiang Association for Science and Technology(grant No.2017YCGC002)Key Project of Hangzhou Ministry of Science and Technology(grant No.20162013A07)Zhejiang Provincial Project for the Key Discipline of Traditional Chinese Medicine(grant No.2017-XK-A09)the Open Project Program of Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica(No.JKLPSE201807)the Project of the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD).
文摘Background:Traditional Chinese medicine(TCM)syndrome,also named syndrome,are comprehensive and integral analyses of clinical information which helps to guide different individualized treatment prescriptions.Methods:Thirty healthy controls and 80 colorectal cancer(CRC)patients(including 33 Spleen Qi Deficiency syndrome,23 Dampness Heat syndrome,17 Blood Stasis syndrome and 7 other syndrome)were enrolled into this study.Human mRNAs were extracted from peripheral blood mononuclear cells.The gene expression for CRC patients with different TCM syndrome was determined by microarray and qRT-PCR.Results:Spleen Qi Deficiency,Dampness Heat and Blood Stasis were the most common syndromes in CRC patients.There is a significant difference was found in mRNA expression levels(especially for PIK3CA,STAT3,SOX9 and KDM5C)among Spleen Qi Deficiency,Dampness Heat and Blood Stasis syndrome groups.The higher mRNA levels of JNK1,TP53,MLH1,MSH6,PMS2,SOCS3,TCF7L2,FAM123B,PSAP,FBXW7,SALL4 and the lower expression of inflammatory cytokine IL-6 were found in Spleen Qi Deficiency group but not other syndrome types.The higher mRNA levels of KRAS,MUC16,EGFR,GRASP65,PIK3CA,MAPK7,CD24,STAT3,SLC11A1,Bcl-2,TXNDC17 and some inflammatory cytokines(IL-6,IL-23,TNF-a,CXCR4)were found in Dampness Heat group but not other syndrome types.Blood Stasis syndrome showed higher expression of SOX9,MLH1,MSH6,KDM5C,PCDH11X,PSAP and SALL4,and lower mRNA levels of PIK3CA,CD24,STAT3,CXCR4,TXNDC17 and TP53.The CRC patients with Dampness Heat syndrome might have a poor prognosis than other syndrome types.Conclusion:The identification of syndrome conditions had different impacts on CRC prognosis,and which might be related with different mRNA expression levels.Some oncogenes and pro-inflammatory cytokines were highly expressed in Dampness Heat group but not other syndrome types,suggesting that the CRC patients with Dampness Heat syndrome might have a poor prognosis.Our results prelimitarily uncovered the molecular basis of syndrome differences in CRC prognosis,a better understanding for TCM treatment of CRC.
基金supported by the National Natural Science Foundation of China(81373769)the Scientific Research and Postgraduate Training Co-construction Project of Beijing Municipal Education Commission(1000062520115)the Province Natural Science Foundation of Beijing(7172131)。
文摘Objective:To explore the structural and functional characteristics of microbiota in oropharynx of subhealthy children with gastrointestinal heat retention syndrome(GHRS)differentiated by traditional Chinese medicine,and screen the biometric operational taxonomic units(OTUs)to assist the clinical diagnosis.Methods:We recruited children according to the“GHRS diagnostic scale”,collected their oropharyngeal swabs,and sequenced the 16 SrDNA V4 region.We described the bacterial structure with alpha-indexes,beta-distances,and relative abundances;moreover,we screened the differential genera/OTUs with Wilcoxon rank-sum test,Metagenome Seq analysis,and linear discriminant analysis effect size(LEf Se)analysis,in which biometric OTUs were selected to construct the receiver operating characteristic curve to verify the diagnostic value.The bacterial function was predicted with Kyoto Encyclopedia of Genes and Genomes pathways according to 16S rDNA gene by using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States.Results:The study population was composed of 10 children with GHRS and 10 healthy control children.GHRS children were more likely to overeat(gluttony,P=.033).Alpha-indexes,such as Sobs,abundancebased coverage estimator,Bootstrap,and Qstat,were significantly higher in the GHRS group,while betadistances did not exhibit any significant intergroup differences.There were 9 differently distributed nonpredominant genera between the groups in Wilcoxon rank-sum test,as well as 13 non-predominant genera in Metagenome Seq analysis and 3 non-predominant OTUs in LEfSe analysis.OTU44 and OTU196 were used to construct the receiver operating characteristic curve,and the area under curve was 0.92.Predicted functions showed that pathways related to oxidative phosphorylation and carbon metabolism were enriched in healthy control samples,while the pathway related to renin secretion was remarkably enriched in GHRS samples.Conclusion:Unique oropharyngeal microbial structure and function were identified in GHRS children.OTU44 and OTU196 were specific OTUs,which could be used as biomarkers of GHRS to assist clinical diagnosis.
文摘Traditional Chinese Medicine (TCM) is the medical science based on theories and practicing experience of traditional Chinese medicine to study transferring principles of health and sickness,as well as prevention, diagnosis,treatment,rehabilitation and healthcare.TCM is marked with its long history of development,integrated theory system and abundant practicing experience.
基金the support from science and technology innovation special topic of Maoming City(No.2021KJZXZJYX011 and No.2022S014).
文摘Background:Traditional Chinese medicine(TCM)syndrome is the basic unit of TCM treatment,which help clinicians assess the disease progression and treatment preoperative of tumor patients.However,the prognostic significance of TCM syndrome is still unclear.This study aims to detect the differences in overall survival between different TCM syndrome and further develop a new nomogram with TCM syndrome for predicting overall survival in colorectal cancer.Methods:A total of 324 patients with colorectal cancer were enrolled and categorized into three groups based on TCM syndrome:deficiency,excess,and deficiency-excess.The prognosis of colorectal cancer patients with different TCM syndromes was evaluated using Kaplan-Meier analysis and Cox regression analysis.Results:The proportion of advanced stage and lymph metastasis in the patients with deficiency syndrome was higher,and the overall survival was shorter than other syndromes.Meanwhile,the TCM syndrome(P<0.001),tumor invasion depth(P<0.001),lymph metastasis(P=0.018),organic metastasis(P=0.005)and tumor node metastasis(TNM)stage(P=0.029)were the independent prognostic factor.Then,a new nomogram with TCM syndrome was established and assessed.324 colorectal cancer patients were randomly divided into training(n=215)and validation cohorts(n=109).A nomogram incorporating preoperative TCM syndrome,gender,age,T,N,and M status was developed,which had good discrimination and calibration.Conclusion:Taken together,our results indicated that TCM syndrome could assess the prognosis of colorectal cancer.The nomogram incorporating TCM syndromes and tumor information is helpful for risk stratification and prognostic predictions in colorectal cancer preoperatively.
基金National Natural Science Foundation of China(No.81760807)Guangxi University of Traditional Chinese Medicine 2019 Graduate Education Innovation Program Project(No.YCSY20190066)。
文摘Objective:To analyze the clinical research literatures of TCM syndromes and treatment of Immunoglobulin A Nephropathy(IgAN)on data-mining technology,and explore the rules of TCM syndromes and Chinese medication.Methods:By searching the clinical literatures about TCM syndromes and treatment of IgAN had published in China Biomedical Literature Database,CNKI Database,Wanfang Database,and Chongqing Weipu Database from January 2000 to September 2019.Strictly according to the inclusion and exclusion criteria,included documents and established the databases.Applicated of statistical software for frequency analysis of TCM syndromes,Chinese herbal medicines,and analyzed the commonly used Chinese herbal medicines by factor analysis and cluster analysis.Results:292 literatures were finally included,involving 28 syndromes.A total of 479 prescriptions and 254 Chinese herbs were used.The rules of syndromes in IgA nephropathy are as follows:the syndromes are mainly composed of Qi and Yin deficiency syndrome,followed by the Spleen and kidney qi deficiency syndrome,Liver and Kidney Yin Deficiency Syndrome,Spleen and kidney yang deficiency syndrome.The blood-stasis syndrome,damp-heat syndrome and wind-heat disturbance syndrome are accompanied by other syndrome.The characteristics of traditional Chinese medicines for IgA nephropathy is mainly composed of tonic deficiency medicines,supplemented by blood-activating and stasis-eliminating medicines,heat-clearing medicines,inducing diuresis and excreting dampness medicines and astringent medicines to combine with formulas.Conclusion:Through Data-mining method systematically summarized the rules of TCM syndromes and Chinese medication in treating IgAN and provided scientific theoretical guidance for the treatment of IgAN.
文摘"Yi"is defined in traditional Chinese medicine theory as the general pathological conditions of epidemics.Throughout thousands of years of history,TCM has been playing an essential role in preventing and treating epidemics in China.Showing significant efficacy against severe acute respiratory syndrome(SARS)in 2002 and 2003,a medical intervention involving TCM was applied at the beginning of the pandemic of the corona virus disease 2019(COVID-19),and has been found with good preventive and curative value in clinical practice.In this study,the etiology and pathogenic mechanism of COVID-19 was discussed on a TCM theory basis,and the clinically effective prevention and treatment methods/prescriptions were summarized.It is suggested that TCM has been playing a unique and vital role in preventing and treating COVID-19,and thus contributes greatly to public health.