Research progress of traditional Chinese medicine in the treatment of endocrine metabolic diseases in 2023

This study aimed to provide a comprehensive review of the research progress in Chinese medicine in the treatment of endocrine metabolic diseases in 2023,covering traditional Chinese medicine(TCM)monomers,TCM extracts,and TCM combinations,including non-alcoholic fatty liver disease,type 2 diabetes mellitus and its complications,obesity,hyperuricaemia,and thyroid disorders.After systematic sorting and summary,we found that in 2023,the research focusing on the application of TCM for endocrine metabolic diseases was still on the mechanism of action at the cellular and molecular levels,which not only influenced the classical pathways of lipid metabolism,but also delved into the key mechanisms of anti-inflammation,anti-oxidation,anti-insulin resistance,and so on.Additionally,TCM has shown remarkable results in the treatment of endocrine metabolic diseases by improving intestinal flora disorders and abnormal cellular iron death.These research results provide valuable ideas,methods,and tools for TCM in the prevention and treatment of endocrine metabolic diseases,and provide important references and guidance for future research and practice.

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

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

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

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

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

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

A retrospective study on professor Gui-Qi Xuan’s experience in traditional Chinese medicine treatment on attention-deficit hyperactivity disorder: based on data mining and network pharmacology

Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core herbal prescription.Methods:Following medical record information pretreatment,the Traditional Chinese Medicine(TCM)inheritance computing platform system V3.0 was utilized to analyze the standardized data.The associate rules were summarized to identify the core prescription for treating ADHD.The extracted core herbal prescription’s active compounds and potential targets were used to establish a protein-protein interaction network of active ingredient-disease targets.Cytoscape 3.9.1 software was used to analyze the network’s topological parameters to obtain the key active ingredients and their targets.The Bioconductor data package of R4.0.2 was used to analyze the gene ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways of key targets.Results:Two hundred and twenty-seven entries derived from TCM record information were selected.Through data mining,it was found that 62.5%of pediatric patients had short-tempered behavior,nearly half had sleep problems,and 30%-40%had picky eating and polyphagia issues.The highest-frequency syndrome type was kidney deficiency and liver hyperactivity.Deficiency,fire,phlegm,and dyspeptic food were the main pathological factors for ADHD.Prof.Xuan’s treatment of ADHD mainly focused on replenishing kidney essence and subduing Yang(active,external,ascending,warm,bright,functional and excited pertain to Yang).The core herbal prescription for ADHD included Yuan-zhi,Yi-zhi,Gui-jia,Bai-shao,Long-chi,Ci-shi,Shi-chang-pu,Yu-jin,Fu-shen,and Huang-jing.The protein-protein interaction network showed that MAOA,ADRB2,FOS,MAOB,and SLC6A3 were the five key targets essential in treating ADHD with core herbal prescriptions.The gene ontology biological function of crucial targets mainly involved G protein-coupled amine receptor activity,catecholamine binding,and neurotransmitter transmembrane transporter activity.Analysis of Kyoto Encyclopedia of Genes and Genomes pathways showed that the dopaminergic synapse signaling and neuroactive ligand-receptor interaction pathways were significantly enriched and may be the primary routes for the main treatment of ADHD.Conclusion:Prof.Xuan’s treatment of ADHD has achieved satisfactory clinical effects by supplementing the kidney,replenishing the essence,opening the orifices,nourishing the Yin(static,internal,descending,cold,dim,organic,depressed and pertain to Yin),and subduing the Yang.The major prescription predominantly affects catecholamine binding,neuroactive ligand-receptor interaction,G protein-coupled amine receptor function,and signaling pathways for dopaminergic synapses.Our findings showed that the methodology and software used in this research could explore and analyze the mechanism behind Prof.Xuan’s clinical medication rule for treating ADHD in children.

Effectiveness and safety of traditional Chinese medicine for diabetic retinopathy:A systematic review and network meta-analysis of randomized clinical trials

BACKGROUND Diabetic retinopathy(DR)is currently recognized as one of the most serious diabetic microangiopathies and a major cause of adult blindness.Commonly used clinical approaches include etiological control,microvascular improvement,and surgical intervention,but they are ineffective and have many side effects.Oral Chinese medicine(OCM)has been used for thousands of years to treat DR and is still widely used today,but it is unclear which OCM is more effective for DR.AIM To estimate relative effectiveness and safety profiles for different classes of OCMs for DR,and provide rankings of the available OCMs.METHODS The search time frame was from the creation of the database to January 2023.RevMan 5.3 and Stata 14.0 software were used to perform the systematic review and Network meta-analyses(NMA).RESULTS A total of 107 studies and 9710 patients were included,including 4767 cases in the test group and 4973 cases in the control group.Based on previous studies and clinical reports,and combined with the recommendations of Chinese guidelines for the prevention and treatment of DR,9 OCMs were finally included in this study,namely Compound Xueshuantong Capsules,Qiming Granules,Compound Danshen Dripping Pills,Hexue Mingmu Tablets(HXMM),Qiju Dihuang Pills(QJDH),Shuangdan Mingmu Capsules(SDMM),Danggui Buxue Decoction(DGBX),Xuefu Zhuyu Decoction and Buyang Huanwu Decoction.When these nine OCMs were analyzed in combination with conventional western medicine treatment(CT)compared with CT alone,the NMA results showed that HXMM+CT has better intervention effect on the overall efficacy of DR patients,HXMM+CT has better effect on improving patients'visual acuity,SDMM+CT has better effect on inhibiting vascular endothelial growth factor,DGBX+CT has better effect on reducing fundus hemorrhage area,HXMM+CT has better effect on reducing fasting blood glucose,and QJDH+CT has better effect on reducing glycated hemoglobin.When there are not enough clinical indicators for reference,SDMM+CT or HXMM+CT treatments can be chosen because they are effective for more indicators and demonstrate multidimensional efficacy.CONCLUSION This study provides evidence that combining OCMs with CT leads to better outcomes in all aspects of DR compared to using CT alone.Based on the findings,we highly recommend the use of SDMM or HXMM for the treatment of DR.These two OCMs have demonstrated outstanding efficacy across multiple indicators.

Therapeutic effect of traditional Chinese medicine on coagulation disorder and accompanying intractable jaundice in hepatitis B virus-related liver cirrhosis patients

AIM： TO observe the therapeutic effects of new traditional Chinese medicine （TClVl） therapy on coagulation disorder and accompanying intractable jaundice in HBV-related liver cirrhosis patients. METHODS： Using stratified random sampling according to fibrinogen （Fib） levels, 145 liver cirrhosis patients due to hepatitis B complicated by coagulation disorder were treated. Of them, 70 in research group were treated with TCM by ＂nourishing yin, cooling blood and invigorating blood circulation＂ and Western medicine, 75 in control group were treated with conventional Western medicine. The indexes of liver function, coagulation function and bleeding events were observed and compared. RESULTS： The prothrombin time （PT） was shorter and the fibrinogen （Fib） level was higher in the research group than in the control group （Fib = 1.6-2.0 g/L, 1.1-1.5 g/L, and ≤ 1.0 g/L）. The total bilirubin （TBIL） level was significantly lower in the research group than in the control group, except for the subgroup of FIB ≤ 1.0 g/L. CONCLUSION： TCM therapy can improve coagulation fuction and decrease TBIL.

Herbal traditional Chinese medicine and its evidence base in gastrointestinal disorders

Herbal traditional Chinese medicine(TCM) is used to treat several ailments, but its efficiency is poorly documented and hence debated, as opposed to modern medicine commonly providinge ffective therapies. The aim of this review article is to present a practical reference guide on the role of herbal TCM in managing gastrointestinal disorders, supported by systematic reviews and evidence based trials. A literature search using herbal TCM combined with terms for gastrointestinal disorders in Pub Med and the Cochrane database identified publications of herbal TCM trials. Results were analyzed for study type, inclusion criteria, and outcome parameters. Quality of placebo controlled, randomized, double-blind clinical trials was poor, mostly neglecting stringent evidence based diagnostic and therapeutic criteria. Accordingly, appropriate Cochrane reviews and meta-analyses were limited and failed to support valid, clinically relevant evidence based efficiency of herbal TCM in gastrointestinal diseases, including gastroesophageal reflux disease, gastric or duodenal ulcer, dyspepsia, irritable bowel syndrome, ulcerative colitis, and Crohn's disease. In conclusion, the use of herbal TCM to treat various diseases has an interesting philosophical background with a long history, but it received increasing skepticism due to the lack of evidence based efficiency as shown by high quality trials; this has now been summarized for gastrointestinal disorders, with TCM not recommended for most gastrointestinal diseases. Future studies should focus on placebo controlled, randomized, double-blind clinical trials, herbal product quality and standard criteria for diagnosis, treatment, outcome, and assessment of adverse herb reactions. This approach will provide figures of risk/benefit profiles that hopefully are positive for at least some treatment modalities of herbal TCM. Proponents of modern herbal TCM best face these promising challenges of pragmaticmodern medicine by bridging the gap between the two medicinal cultures.

Teaching Reform of “Nursing of Traditional Chinese Medicine” Course Based on OBE Concept

Traditional Chinese medicine(TCM)nursing is one of the important disciplines in TCM.It is based on TCM theory and combined with modern nursing theory and technology,aiming to provide comprehensive and individualized nursing services.With the changes in the medical environment and the continuous improvement of people’s health needs,the teaching of TCM nursing is facing new challenges and opportunities.This paper aims to discuss the teaching reform of TCM nursing course based on the concept of outcome-based education(OBE)or student-centered teaching.The significance of this study is to provide theoretical basis and practical guidance for the teaching reform of TCM nursing course,and to promote the development and progress of TCM nursing education.Through the teaching reform based on OBE concept,we can better cultivate TCM nursing talents with innovative spirit and practical skills,and contribute to the development of TCM.

Analysis of microblog public opinion characteristics on traditional Chinese medicine against COVID-19 based on deep learning

The opinion research on traditional Chinese medicine during the coronavirus disease 2019(COVID-19)pandemic on microblog,a social network,took into account the national people’s fight against COVID-19—the research background—the strength of traditional Chinese medicine during the pandemic—the research topic—and the public opinion—the research object.The timeline was divided into three stages according to the overall heat change.In order to explore and compare people’s emotion and topics of concern on traditional Chinese medicine during the different stages of the pandemic,deep learning analysis methods such as emotional analysis and Latent Dirichlet Allocation analysis were used.This study found that the public’s positive“emotional composition”on traditional Chinese medicine significantly improved within the timeline,while the public’s autonomy was enhanced and the overall public opinion started to show an increased trend.

Metabolomic and structural brain connectomic evidence validating traditional Chinese medicine diagnostic classification of major depressive disorder

OBJECTIVE Major depressive disorder(MDD) is a highly heterogeneous mental illness.Further classification may help characterize its heterogeneity.The purpose of this study was to examine metabolomic and brain connectomic associations with traditional Chinese medicine(TCM) diagnostic classification of MDD.METHODS Fifty unmedicated depressed patients were classified into Liver Qi Stagnation(LQS,n=30) and Heart and Spleen Deficiency(HSD,n=20) subtypes according to TCM diagnosis.Healthy volunteers(n=28) were included as controls.Gas chromatography-mass spectrometry(GC-MS) and diffusion tensor imaging were used to detect serum and urinary metabolomic profiles and whole-brain white matter connectivity,respectively.RESULTS In metabolomic analysis,28 metabolites were identified for good separations between TCM subtypes and healthy controls in serum and urine samples.While both TCM subtypes had similar profiles in proteinogenic branched-chain amino acids and energy metabolism-related metabolites that were differentiated from healthy controls,the LQS subtype additionally differed from healthy controls in multiple amino acid metabolites that are involved in the biosynthesis of monoamine and amino acid neurotransmitters.Several metabolites are differentially associated with the two subtypes.In connectomic analysis,The LQS subtype showed significant differences in multiple network metrics of the angular gyrus,middle occipital gyrus,calcarine sulcus,and Heschl′ s gyrus when compared to the other two groups.The HSD subtype had markedly greater regional connectivity of the insula,parahippocampal gyrus,and posterior cingulate gyrus than the other two groups,and microstructural abnormalities of the frontal medial orbital gyrus and middle temporal pole.The insular betweenness centrality was strongly inversely correlated with the severity of depression and dichotomized the two subtypes at the optimal cutoff value with acceptable sensitivity and specificity.CONCLUSION The LQS subtype may represent an MDD subpopulation mainly characterized by abnormalities in the biosynthesis of monoamine and amino acid neurotransmitters,closer associations with stress-related pathophysiology,and aberrant connectivity of the audiovisual perception-related temporal-occipital network,whereas the HSD subtype is more closely associated with hyperconnectivity and microstructural abnormalities of the limbicparalimbic network.Certain metabolomic and connectomic variables are potential biomarkers for TCM diagnostic subtypes which is perhaps an alternative classification for depressive disorders.

Analysis of new therapeutic strategies for diabetes mellitus based on traditional Chinese medicine'xiaoke'formulae

Objective:To develop new therapeutic strategies for diabetes mellitus(DM)by analyzing the mechanisms of action of traditional Chinese medicine(TCM)'xiaoke'formulae(TCM prescriptions for remedying xiaoke).Methods:We characterized 291 xiaoke formulae,including the herbs contained,chemical composition,constituents'targets,and corresponding genes.Xiaoke-related genes were retrieved based on the relationships of constituents'targets and xiaoke formulae,and a threshold of over 95.88%occurrence of each constituent target in the 291 TCM formulae served as a definition for xiaoke-related genes.Upon comparison with DM-related genes in the DisGeNET database,the genes differing in expression between cases administered TCM and synthetic drugs were explored using a TCM grammar system.Results:The results showed that xiaoke formulae and 14 exclusively xiaoke-related genes were significantly associated with multiple biological processes closely related to DM and diabetic complications(P<.01).Moreover,intervention in the expression of these xiaoke-related genes would affect DM-related genes directly or indirectly.Conclusion:The 14 xiaoke-related genes APEX1,EHMT2,TSHR,CBX1,FEN1,GMNN,JUN,KMT2A,MAPT,POLl,USP1,PIN1,POLB,and POLK can serve as candidate genes for antidiabetic drug design.Compared with DM-related genes in DisGeNET,intervention in the expression of 14 xiaoke-related genes by TCM formulae has the potential to not only lower blood glucose,but also reduce the occurrence of some side effects and inhibit the development of diabetic complications.These findings will contribute to the discovery of new strategies for treating DM.

Traditional Chinese medicine for prevention and treatment of hepatocarcinoma: From bench to bedside

Traditional Chinese medicine(TCM) has played a positive role in the management of hepatocarcinoma. Hepatocarcinoma patients may present Qi-stagnation, damp-heat, blood stasis, Qi-deficiency, Yin-deficiency and other TCM syndromes(Zheng). Modern treatments such as surgery, transarterial chemoembolization(TACE) and high intensity focus ultrasound treatment would influence the manifestation of TCM syndromes. Herbs with traditional efficacy of tonifying Qi, blood and Yin, soothing liver-Qi stagnation, clearing heat and detoxifying and dissolving stasis, have been demonstrated to be potent to prevent hepatocarcinogenesis. TCM has been widely used in all aspects of integrative therapy in hepatocarcinoma, including surgical resection, liver transplantation, TACE, local ablative therapies and even as monotherapy for middle-advanced stage hepatocarcinoma. Clinical practices have confirmed that TCM is effective to alleviate clinical symptoms, improve quality of life and immune function, prevent recurrence and metastasis, delay tumor progression, and prolong survival time in hepatocarcinoma patients. The effective mechanism of TCM against hepatocarcinoma is related to inducing apoptosis, autophagy, anoikis and cell senescence, arresting cell cycle, regulating immune function, inhibiting metastasis and angiogenesis, reversing drug resistance and enhancing effects of chemotherapy. Along with the progress of research in this field, TCM will contribute more to the prevention and treatment of hepatocarcinoma.

Comparative study on the anti-tuberculous effect and mechanism of the traditional Chinese medicines NiuBeiXiao He extract and JieHeWan

Background:The traditional Chinese medicine NiuBeiXiaoHe(NBXH)extract and Chinese medicine preparation JieHeWan(JHW)exhibit anti-tuberculosis(TB)effects.The anti-TB effect of NBXH was compared with that of JHW to elucidate the mechanism of action of NBXH.Methods:BALB/c mice aged 6-8 weeks were randomly divided into a normal control group,TB model group,JHW treatment group,and NBXH treatment group.After 3 and 13 weeks of treatment,the therapeutic effect in each group was evaluated by comparing lung histopathology,lung and liver colony counts,the number of spots representing effector T cells secreting IFN-γin an enzyme-linked immunospot assay(ELISPOT),and the levels of Th1,Th2,and Th17 cytokines,which were measured by a cytometric bead array(CBA).Mouse RNA samples were subjected to transcriptome sequencing.Results:After 13 weeks of treatment,the mean histopathological lesion area of the NBXH group was significantly smaller than that of the TB model group(P<0.05).Compared with those in the TB model group,the lung colony counts in the JHW and NBXH groups were significantly decreased(P<0.05),and the IL-2 and IL-4 levels in the NBXH group were significantly increased(P<0.05).NBXH partly restored significant changes in gene expression caused by Mycobacterium tuberculosis(M.tuberculosis)infection.According to GO and KEGG analyses,the changes in biological process(BP),cell composition(CC)and molecular function(MF)terms and in signaling pathways caused by NBXH and JHW treatment were not completely consistent,but they were mainly related to the immune response and inflammatory response in the mouse TB model.Conclusions:NBXH had therapeutic effects similar to those of JHW in improving lung histopathology,reducing lung colony counts,and regulating the levels of cytokines.NBXH restored significant changes in gene expression and repaired cell damage caused by M.tuberculosis infection by regulating immune-related pathways,which clarified the mechanism of action of NBXH.

Advances in traditional Chinese medicine for liver disease therapy in 2021

Liver diseases and their co-morbidities represent a major public health problem.Owing to its progressive pathogenesis and lack of effective treatment,liver disease has become one of the most important causes of death worldwide.Traditional Chinese medicine(TCM)has potential advantages in the prevention and treatment of liver diseases,including high safety,remarkable curative effects,and low toxicity and side effects.In 2021,TCM extracts and their derivatives,TCM compounds,and ethnic medicines showed good efficacy in the treatment of liver diseases.The main mechanisms and representative drugs of TCM can be summarized by the use of amygdalin,dicoumarol,quercetin,and ancient ephedrine decoction to treat hepatitis by inhibiting viral replication,as well as the use of Gentianae Radix,lupeol,Zornia diphylla(L.)Pers.,and Chinese patent medicine Liuwei Wuling tablet to alleviate acute liver injury by improving oxidative stress and inflammatory responses in the body.In the treatment of alcoholic liver disease and metabolic-associated fatty liver disease,the mechanism of TCM is the inhibition of oxidative stress,improving metabolism,regulating intestinal microflora,and enhancing intestinal barrier function.The representative TCM for alcoholic liver disease includes astragaloside,puerarin,patchouli alcohol,and Mori Fructus polysaccharide,while those for metabolic-associated fatty liver disease include saikosaponin,dehydroabietic acid,hesperetin,berberine,and Panax Notoginseng saponins.Additionally,germacrone,forsythin,geniposide,and protocatechuic acid can inhibit the activation or migration of stellate cells and improve liver fibrosis.Toosendanin,paeoniflorin,chrysin,and the classical prescription Huanglian decoction can significantly inhibit the proliferation of liver cancer cells and promote their apoptosis for the treatment of hepatocellular carcinoma.The activation of the farnesol X receptor pathway can improve bile metabolism in the liver,thus,significantly alleviating cholestatic liver disease.Its representative drugs include the TCM extracts pterostilbene and arbutin.In this review,we summarize the advances made in research on TCM used in the treatment of liver diseases in 2021,providing a reference for further development of TCM for the prevention and treatment of liver diseases.

Application of artificial intelligence in tongue diagnosis of traditional Chinese medicine:A review

Tongue diagnosis is an important process to non-invasively assess the condition of a patient’s internal organs in traditional Chinese medicine(TCM)and each part of the tongue is related to corresponding internal organs.Due to continuing computer technological advances,especially the artificial intelligence(AI)methods have achieved significant success in tackling tongue image acquisition,processing,and classification,novel AI methods are being introduced in traditional Chinese medicine tongue diagnosis medical practices.Traditional tongue diagnose depends on observations of tongue characteristics,such as color,shape,texture,moisture,etc.by traditional Chinese medicine physicians.The appearance of the tongue color,texture and coating reflects the improvement or deterioration of patient’s conditions.Moreover,AI can now distinguish patient’s condition through tongue images,texture or coating,which is all possible increasingly with help from traditional Chinese medicine physicians under the traditional Chinese medicine tongue theory.AI has enabled humans to do what was previously unimagined:traditional Chinese medicine tongue diagnosis with feeding a large amount of tongue image and tongue texture/coating data to train the AI modes.This review focuses on the research advances of AI in TCM tongue diagnosis thus far to identify the major scientific methods and prospects.In this article,we tried to review the AI application in resolving the tongue diagnosis of traditional Chinese medicine on color correction,tongue image extraction,tongue texture/coating segmentation.

In vitro study on the antiviral activity of 9 extracts of traditional Chinese herbal medicine against the human respiratory syncytial virus

Objective:To study the in vitro virucidal activity of 9 extracts of traditional Chinese herbal medicine(the water extracts of Evodia lepta,Clausena lansium,Clerodendrum cyrtophyllum,Callicarpa nudiflora,Nauclea officinalis and Elaeagnus gonyanthes,the alcohol extracts of Nauclea officinalis,Elaeagnus gonyanthes and Zanthoxylumarmatum)on human respiratory syncytial virus(HRSV).Methods:The cytotoxic effect of the extracts on cells was evaluated by a cell viability assay using the CCK-8 method,a concentration of the extracts with cell viability greater than 50%was selected for the follow-up anti-HRSV effect assay,the 50%effective concentration(EC50)was assessed by an in vitro cell infection model.Results:The EC50s of the water extract from Clerodendrum cyrtophyllum,Callicarpa nudiflora and Elaeagnus gonyanthes were 0.05 mg/mL,0.03 mg/mL and 0.05 mg/mL,and the therapeutic index(TI)of them were 18.60,21.67 and 56.80 respectively.Conclusion:The water extracts of Clerodendrum cyrtophyllum,Callicarpa nudiflora and Elaeagnus gonyanthes possess the activity of anti-HRSV virus.

Analogous Systems Principles and Concepts of Traditional Chinese Medicine and Congruence Couple Therapy

This article explicates the analogous principles and concepts between traditional Chinese medicine(TCM)and congruence couple therapy(CCT).Although originating out of vastly different times and places,TCM and CCT share a view of health based on systems understanding to facilitate the interconnections of the parts of an organism rather than focusing on eliminating symptoms.Both approaches aim to release Qi(气)and vitality by removing blockages through adjusting the interactions,adaptation,and balance of multiple elements and Yin‑Yang energies.The goal is to liberate the Qi or life force through improved holistic balance and cooperation.While TCM focuses on interventions at the level of the body,CCT focuses on the attention,awareness,acknowledgement,and alignment of the four human dimensions consisting of the intrapsychic,interpersonal,intergenerational,and universal‑spiritual.In light of the current trend toward increasing mental,substance use,and neurological disorders,in particular among countries of middle and low income,dialogue to explore these compatibilities between TCM and CCT is conducive to the continuous evolution of TCM and Western therapies to address not only physical health but also the exigencies of contemporary addiction and mental health care within a mind–body relationship matrix.

Construction and optimization of traditional Chinese medicine constitution prediction models based on deep learning

Objective To cater to the demands for personalized health services from a deep learning per-spective by investigating the characteristics of traditional Chinese medicine(TCM)constitu-tion data and constructing models to explore new prediction methods.Methods Data from students at Chengdu University of Traditional Chinese Medicine were collected and organized according to the 24 solar terms from January 21,2020,to April 6,2022.The data were used to identify nine TCM constitutions,including balanced constitution,Qi deficiency constitution,Yang deficiency constitution,Yin deficiency constitution,phlegm dampness constitution,damp heat constitution,stagnant blood constitution,Qi stagnation constitution,and specific-inherited predisposition constitution.Deep learning algorithms were employed to construct multi-layer perceptron(MLP),long short-term memory(LSTM),and deep belief network(DBN)models for the prediction of TCM constitutions based on the nine constitution types.To optimize these TCM constitution prediction models,this study in-troduced the attention mechanism(AM),grey wolf optimizer(GWO),and particle swarm op-timization(PSO).The models’performance was evaluated before and after optimization us-ing the F1-score,accuracy,precision,and recall.Results The research analyzed a total of 31655 pieces of data.(i)Before optimization,the MLP model achieved more than 90%prediction accuracy for all constitution types except the balanced and Qi deficiency constitutions.The LSTM model's prediction accuracies exceeded 60%,indicating that their potential in TCM constitutional prediction may not have been fully realized due to the absence of pronounced temporal features in the data.Regarding the DBN model,the binary classification analysis showed that,apart from slightly underperforming in predicting the Qi deficiency constitution and damp heat constitution,with accuracies of 65%and 60%,respectively.The DBN model demonstrated considerable discriminative power for other constitution types,achieving prediction accuracy rates and area under the receiver op-erating characteristic(ROC)curve(AUC)values exceeding 70%and 0.78,respectively.This indicates that while the model possesses a certain level of constitutional differentiation abili-ty,it encounters limitations in processing specific constitutional features,leaving room for further improvement in its performance.For multi-class classification problem,the DBN model’s prediction accuracy rate fell short of 50%.(ii)After optimization,the LSTM model,enhanced with the AM,typically achieved a prediction accuracy rate above 75%,with lower performance for the Qi deficiency constitution,stagnant blood constitution,and Qi stagna-tion constitution.The GWO-optimized DBN model for multi-class classification showed an increased prediction accuracy rate of 56%,while the PSO-optimized model had a decreased accuracy rate to 37%.The GWO-PSO-DBN model,optimized with both algorithms,demon-strated an improved prediction accuracy rate of 54%.Conclusion This study constructed MLP,LSTM,and DBN models for predicting TCM consti-tution and improved them based on different optimisation algorithms.The results showed that the MLP model performs well,the LSTM and DBN models were effective in prediction but with certain limitations.This study also provided a new technology reference for the es-tablishment and optimisation strategies of TCM constitution prediction models,and a novel idea for the treatment of non-disease.

Deep learning-based recognition of stained tongue coating images

Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.