Knee osteoarthritis:A review of animal models and intervention of traditional Chinese medicine

Background:Knee osteoarthritis(KOA)characterized by degeneration of knee cartilage and subsequent bone hyperplasia is a prevalent joint condition primarily affecting aging adults.The pathophysiology of KOA remains poorly understood,as it involves complex mechanisms that result in the same outcome.Consequently,researchers are interested in studying KOA and require appropriate animal models for basic research.Chinese herbal compounds,which consist of multiple herbs with diverse pharmacological properties,possess characteristics such as multicomponent,multipathway,and multitarget effects.The potential benefits in the treatment of KOA continue to attract attention.Purpose:This study aims to provide a comprehensive overview of the advantages,limitations,and specific considerations in selecting different species and methods for KOA animal models.This will help researchers make informed decisions when choosing an animal model.Methods:Online academic databases(e.g.,PubMed,Google Scholar,Web of Science,and CNKI)were searched using the search terms“knee osteoarthritis,”“animal models,”“traditional Chinese medicine,”and their combinations,primarily including KOA studies published from 2010 to 2023.Results:Based on literature retrieval,this review provides a comprehensive overview of the methods of establishing KOA animal models;introduces the current status of advantages and disadvantages of various animal models,including mice,rats,rabbits,dogs,and sheep/goats;and presents the current status of methods used to establish KOA animal models.Conclusion:This study provides a review of the animal models used in recent KOA research,discusses the common modeling methods,and emphasizes the role of traditional Chinese medicine compounds in the treatment of KOA.

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.

Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals

A comparative analysis of deep learning models and traditional statistical methods for stock price prediction uses data from the Nigerian stock exchange. Historical data, including daily prices and trading volumes, are employed to implement models such as Long Short Term Memory (LSTM) networks, Gated Recurrent Units (GRUs), Autoregressive Integrated Moving Average (ARIMA), and Autoregressive Moving Average (ARMA). These models are assessed over three-time horizons: short-term (1 year), medium-term (2.5 years), and long-term (5 years), with performance measured by Mean Squared Error (MSE) and Mean Absolute Error (MAE). The stability of the time series is tested using the Augmented Dickey-Fuller (ADF) test. Results reveal that deep learning models, particularly LSTM, outperform traditional methods by capturing complex, nonlinear patterns in the data, resulting in more accurate predictions. However, these models require greater computational resources and offer less interpretability than traditional approaches. The findings highlight the potential of deep learning for improving financial forecasting and investment strategies. Future research could incorporate external factors such as social media sentiment and economic indicators, refine model architectures, and explore real-time applications to enhance prediction accuracy and scalability.

Application of multidisciplinary team-based integrated traditional Chinese medicine and Western medicine in rotator cuff injury patients undergoing arthroscopic surgery

BACKGROUND Arthroscopic rotator cuff repair is a common surgical treatment for rotator cuff injuries(RCIs).Although this procedure has certain clinical advantages,it requires rehabilitation management interventions to ensure therapeutic efficacy.AIM To investigate the effect of integrated traditional Chinese medicine and Western medicine(TCM-WM)under the multidisciplinary team(MDT)model on the postoperative recovery of patients undergoing arthroscopic surgery for RCIs.METHODS This study enrolled 100 patients who underwent arthroscopic rotator cuff repair for RCIs at the Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine between June 2021 and May 2024.They were divided into a control group(n=48)that received routine rehabilitation treatment and an experimental group(n=52)that received TCM-WM under the MDT model(e.g.,acupuncture,TCM traumatology and orthopedics,and rehabilitation).The results of the Constant–Murley Shoulder Score(CMS),Visual Analogue Scale(VAS),Shoulder Pain and Disability Index(SPADI),muscular strength evaluation,and shoulder range of motion(ROM)assessments were analyzed.RESULTS After treatment,the experimental group showed significantly higher CMS scores in terms of pain,functional activity,shoulder joint mobility,and muscular strength than the baseline and those of the control group.The experimental group also exhibited significantly lower VAS and SPADI scores than the baseline and those of the control group.In addition,the experimental group showed significantly enhanced muscular strength(forward flexor and external and internal rotator muscles)and shoulder ROM(forward flexion,abduction,and lateral abduction)after treatment compared with the control group.CONCLUSION TCM-WM under the MDT model improved shoulder joint function,relieved postoperative pain,promoted postoperative functional recovery,and facilitated the recovery of muscular strength and shoulder ROM in patients with RCIs who underwent arthroscopic rotator cuff repair.

Feasibility and simulation model of a pilot scale membrane bioreactor for wastewater treatment and reuse from Chinese traditional medicine

The lack and pollution of water resource make wastewater reuse necessary. The pilot scale long-term tests for submerged membrane bioreactor were conducted to treat the effluents of anaerobic or aerobic treatment process for the high-strength Chinese traditional medicine wastewater. This article was focused on the feasibility of the wastewater treatment and reuse at shorter hydraulic retention time （HRT） of 5.0, 3.2 and 2.13 h. MLSS growth, membrane flux, vacuum values and chemical cleaning periods were also investigated. The experimental results of treating two-phase anaerobic treatment effluent demonstrated that the CODfilt was less than 100 mg/L when the influent COD was between 500-10000 mg/L at HRT of 5.0 h, which could satisfy the normal discharged standard in China. The experimental results to treat cross flow aerobic reactor effluent demonstrated that the average value of CODfilt was 17.28 mg/L when the average value of influent COD was 192.84 mg/L at HRT of 2.13 h during 106 d, which could completely meet the normal standard for water reuse. The maximum MLSS and MLVSS reached 24000 and 14500 mg/L at HRT of 3.2 h respectively. Membrane flux had maximal resume degrees of 94.7% at vacuum value of 0.02 MPa after cleaning. Chemical cleaning periods of membrane module were 150 d. A simulation model of operational parameters was also established based on the theory of back propagation neural network and linear regression of traditional mathematical model. The simulation model showed that the optimum operational parameters were suggested as follows： HRT was 5.0 h, SRT was 100 d, the range of COD loading rate was between 10.664-20.451 kg/（m3.d）, the range of MLSS was between 7543-13694 mg/L.

Classic mechanisms and experimental models for the anti-inflammatory effect of traditional Chinese medicine

Inflammation is a common disease involved in the pathogenesis,complications,and sequelae of a large number of related diseases,and therefore considerable research has been directed toward developing anti-inflammatory drugs for the prevention and treatment of these diseases.Traditional Chinese medicine(TCM)has been used to treat inflammatory and related diseases since ancient times.According to the re-view of abundant modern scientific researches,it is suggested that TCM exhibit anti-inflammatory effects at different levels,and via multiple pathways with various targets,and recently a series of in vitro and in vivo anti-inflammatory models have been developed for anti-inflammation research in TCM.Currently,the reported classic mechanisms of TCM and experimental models of its anti-inflammatory effects pro-vide reference points and guidance for further research and development of TCM.Importantly,the research clearly confirms that TCM is now and will continue to be an effective form of treatment for many types of inflammation and inflammation-related diseases.

Impacts of agri-food e-commerce on traditional wholesale industry:Evidence from China

Rapidly expanding studies investigate the effects of e-commerce on company operations in the retail market.However,the interaction between agri-food e-commerce(AEC)and the traditional agri-food wholesale industry(AWI)has not received enough attention in the existing literature.Based on the provincial panel data from 2013 to 2020 in China,this paper examines the effect of AEC on AWI,comprising three dimensions:digitalization(DIGITAL),agrifood e-commerce infrastructure and supporting services(AECI),and agri-food e-commerce economy(AECE).First,AWI and AEC are measured using an entropy-based combination of indicators.The results indicate that for China as a whole,AWI has remained practically unchanged,whereas AEC exhibits a significant rising trend.Second,the findings of the fixed-effect regression reveal that DIGITAL and AECE tend to raise AWI,whereas AECI negatively affects AWI.Third,threshold regression results indicate that AECI tends to diminish AWI with three-stage inhibitory intensity,which manifests as a first increase and then a drop in the inhibition degree.These results suggest that with the introduction of e-commerce for agricultural product circulation,digital development will have catfish effects that tend to stimulate the vitality of the conventional wholesale industry and promote technical progress.Furthermore,the traditional wholesale industry benefits financially from e-commerce even while it diverts part of the traditional wholesale circulation for agricultural products.

Inhibition of growth and metastasis of triple-negative breast cancer targeted by Traditional Chinese Medicine Tubeimu in orthotopic mice models

Objective： Triple-negative breast cancer（TNBC） is highly invasive and metastatic, which is in urgent need of transformative therapeutics. Tubeimu（TBM）, the rhizome of Bolbostemma paniculatum（Maxim.） Franquet, is one of the Chinese medicinal herbs used for breast diseases since the ancient times. The present study evaluated the efficacy, especially the anti-metastatic effects of the dichloromethane extract of Tubeimu（ETBM） on TNBC orthotopic mouse models and cell lines.Methods： We applied real-time imaging on florescent orthotopic TNBC mice model and tested cell migration and invasion abilities with MDA-MB-231 cell line. Digital gene expression sequencing was performed and Kyoto Encyclopedia of Genes and Genomes（KEGG） analysis applied to explore the pathways influenced by ETBM.Moreover, quantitative real-time polymerase chain reactions（q RT-PCR） and Western blot were delivered to confirm the gene expression changes.Results： ETBM exhibited noticeable control on tumor metastasis and growth of TNBC tumors with no obvious toxicity. In compliance with this, it also showed inhibition of cell migration and invasion in vitro. Its impact on the changed biological behavior in TNBC may be a result of decreased expression of integrin β1（ITGβ1）, integrin β8（ITGβ8） and Rho GTPase activating protein 5（ARHGAP5）, which disabled the focal adhesion pathway and caused change in cell morphology.Conclusions： This study reveals that ETBM has anti-metastatic effects on MDA-MB-231-GFP tumor and may lead to a new therapeutic agent for the integrative treatment of highly invasive TNBC.

Research Survey of Animal Model of Hepatic Fibro-sis Integrated with Western Medicine Diseases and Traditional Chinese Medicine^TCM~)Syndrome

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.

The applications of Bayesian models in real-world studies of traditional Chinese medicine:a primer

Real-world study is valuable for traditional Chinese medicine.However,there are no gold standards of statistical approaches for analyzing data from real-world study of traditional Chinese medicine.With the development of computer technology,researchers have increasingly paid attention to Bayesian statistics in the biomedical field.In present study,real-world study and Bayesian statistics were introduced.It was discussed that why and when to use Bayesian analysis and the challenge in the real-world study of traditional Chinese medicine.

Construction of competency evaluation system for infection control personnel in traditional Chinese medicine hospitals

Background:This study uses a literature review and the Delphi expert consultation method to construct a competency evaluation model for infection control personnel in traditional Chinese medicine(TCM)hospitals.The aim is to strengthen infection control management in TCM hospitals,assess the competency of infection control personnel in their positions,and assist them in identifying the competencies that need improvement.Methods:Based on the literature research method and the Delphi expert consultation method,a competency model for the position was constructed through two rounds of expert consultations,analyzing the relationships between various factors and establishing a hierarchical structure model.Pairwise comparisons were made among the elements at the same level to construct a judgment matrix.Through the analytic hierarchy process,the weight coefficients of the indicators at each level in the competency model were obtained.Results:This study conducted a comprehensive assessment of various capabilities and practices related to hospital infection control.The survey results indicate that participants excelled in multiple areas,with a high overall satisfaction rate.95.28%of participants were able to develop hospital infection monitoring plans based on national infection control policies,demonstrating a good understanding and execution of these policies.94.09%of participants were familiar with high-risk populations and key departments in the hospital.91.73%of participants were able to establish monitoring scopes based on the trends of multidrug-resistant bacteria and conduct information monitoring,reflecting strong response capabilities.92.91%of participants were able to collaborate with relevant departments to conduct bacterial resistance monitoring,showing a good team spirit.94.49%of participants were able to perform targeted monitoring,including surgical site infections,indicating that they have effective monitoring strategies.91.34%of participants were able to collect and organize monitoring data and establish a systematic database,demonstrating good data management skills.90.16%of participants were able to interpret laws and regulations related to hospital infection management,indicating a high level of legal knowledge.89.37%of participants generally possessed good communication skills.92.52%of participants were able to guide medical staff on occupational safety and protective knowledge,showing an emphasis on occupational health.Participants demonstrated a strong desire to learn and innovate,with 87.01%actively participating in continuing education and research activities,reflecting a pursuit of professional development.Conclusion:Based on the results of the two rounds of expert consultations,a competency evaluation model for infection control personnel in TCM hospitals was formed.Through the analytic hierarchy process,the weight coefficients of various indicators at different levels in the model were obtained,and the research results have good scientific validity and reliability.

Machine learning models for stroke detection by observing the eye-movement features under five-color visual stimuli in traditional Chinese medicine

Objective:To develop a novel diagnostic modality to identify and diagnose stroke in daily life scenarios for improving the therapeutic effects and prognoses of patients.Methods:In this study,16 stroke patients and 24 age-matched healthy participants as controls were recruited for comparative analysis.Leveraging a portable eye-tracking device and integrating traditional Chinese medicine theory with modern color psychology principles,we recorded the eye movement signals and calculated eye movement features.Meanwhile,the stroke recognition models based on eye movement features were further trained by using random forest(RF),k-nearest neighbors(KNN),decision tree(DT),gradient boosting classifier(GBC),XGBoost,and CatBoost.Results:The stroke group and the healthy group showed significant differences in some eye movement features(P<.05).The models trained based on eye movement characteristics had good performances in recognizing stroke individuals,with accuracies ranging from 77.40%to 88.45%.Under the red stimulus,the eye movement model trained by RF became the best machine learning model with a recall of 84.65%,a precision of 86.48%,a F1 score of 85.47%.Among the six algorithms,RF and CatBoost performed better in classification.Conclusion:This study pioneers the application of traditional Chinese medicine's five-color stimuli to visual observation tasks.On the basis of the combined design,the eye-movement models can accurately identify stroke,and the developed high-performance models may be used in daily life scenarios.

Preliminary Analysis of Advantages of EB2B Model Compared with Traditional B2B Model

From a business model perspective,both traditional B2B model and eB2B model are made up of the same elements while they have differentiating features separately.

Exploration on the establishment of animal models for hyperuricemia and the application of traditional Chinese medicine

OBJECTIVE In recent years,the frequency of hyperuricemia has gradually risen along with the improvement of living standards,the irregular of diet and overfeeding greasy and surfeit flavor.However,hyperuricemia is a disorder of purine metabolism,and is strongly associated with insulin resistance and abnormal glucose metabolism.It is important to obtain a more stable and sustained animal model for the efficacy evaluation of traditional Chinese medicine(TCM).METHODS To manufacture the rodent model of hyperuricemia,the theory of increasing the source of the uric acid,reducing uric acid excretion and inhibiting uricase were used.We observed the influence on the serum uric acid and other indicators of rats induced by some factors:the lipid emulsion,high purine diet,beer with sugar,beer with sugar and high purine,and so on.Then we choose one of the stable and sustained animal models,studying the effects of Plo.E(which extracted from a TCM)on modulating the level of serum uric acid and the preliminary mechanism in this abstract.RESULTS ① At the 2nd week,the level of serum UA,BUN,Cr,TC,LDL-c of rats in the lipid emulsion group raised significantly.② At the 6th weeks,the serum UA in both the high purine diet group and lipid emulsion group raised obviously.③ The effects of Plo.E on hyperuricemia rats induced by high purine diet:After 8d administration,the Plo.E(three dosages)can reduce the UA level,and the middle and low dosages can reduce the TG level.After 25 dadministration,Plo.E can reduce the plasma viscosity,UA,TG,the whole blood viscosity level,the high dosage also can reduce the TC level.CONCLUSION The rats induced by the high purine diet and lipid emulsion can raised the serum UA obviously,while the way of lipid emulsion is earlier and more stable.Plo.E has a therapeutic effect on hyperuricemia,with an activity of reducing plasma viscosity and blood lipid.The above models conform to the pathogenesis of humans,can be used to study the causes and pathogenesis of hyperuricemia complicating metabolic disorder and the related treatment drug screening.

Wavelet Decomposition Impacts on Traditional Forecasting Time Series Models

This investigative study is focused on the impact of wavelet on traditional forecasting time-series models,which significantly shows the usage of wavelet algorithms.Wavelet Decomposition(WD)algorithm has been combined with various traditional forecasting time-series models,such as Least Square Support Vector Machine(LSSVM),Artificial Neural Network(ANN)and Multivariate Adaptive Regression Splines(MARS)and their effects are examined in terms of the statistical estimations.The WD has been used as a mathematical application in traditional forecast modelling to collect periodically measured parameters,which has yielded tremendous constructive outcomes.Further,it is observed that the wavelet combined models are classy compared to the various time series models in terms of performance basis.Therefore,combining wavelet forecasting models has yielded much better results.

Acupuncture and Altered States of Consciousness： Biophysical Model for Traditional Psychology and Energy Medicine

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Analysis of Communication Model of Chinese Traditional Culture in the New Media Era

Nowadays,the communication of traditional culture is facing various challenges,including limitations of traditional culture itself,decrease of inheritors,poor construction of structure,and heterization of connotation,as well as conflicts between Chinese and foreign cultures in the context of globalization.New media has provided more opportunities for the communication of outstanding Chinese traditional culture.This paper analyzed the role of new media in completing the structure and expanding the scope of communication of outstanding Chinese traditional culture,and proposed strategy for optimizing the communication route from the perspective of improving environment,changing content,and adjusting strategy.The contributions of new media to the communication of Chinese traditional culture should be highly appreciated.

Effect of traditional Chinese medicine on anthracycline-induced cardiotoxicity in animal models:A systematic review and metaanalysis

Objective:To evaluate the effect of traditional Chinese medicine(TCM)on anthracycline-induced cardiotoxicity(AIC)in animal models.Methods:Separate systematic searches for preclinical studies were performed in the PubMed,EMBASE,Web of Science,Chinese National Knowledge Infrastructure,Chinese Biomedical Database,Chinese Scientific Journal Database,and Wanfang Data from inception to August 2019.The primary outcomes were echocardiography,serum assays for myocardial enzymograms,histological assessments,and electrocardiograms.The secondary outcomes mainly included body weight and safety evaluations.The protocol is registered on PROSPERO(CRD42019145819).RevMan(V.5.3)was used for meta-analysis.Results:We identified 10 studies from 9 international scientific publications describing the efficacy of TCM on AIC animal models.All the included studies reported that,compared with animal model without any intervention,TCM significantly improved ventricular function,cardiac biomarkers,electrocardiograph results,and cardiac fibrosis.Improved survival rates and body mass indices were also observed with TCM.We further pooled the available data from four studies(63 animals)for the meta-analysis and the results showed that,compared with models without any intervention,TCM significantly increased the ejection fraction by 14.13%(95%CI,9.96e18.29)and fraction shortening by 8.66%(95%CI,6.05 e11.26).Creatine kinase-MB(SMD=2.49,95%CI:-3.12 to-1.85)and lactate dehydrogenase(SMD=-2.78,95%CI:-3.45 to-2.12)were also significantly decreased by TCM.Conclusions:TCM is effective in improving AIC in animal models and has tremendous potential to be translated to treat AIC in clinical practice.Additionally,the systematic review and meta-analysis of animal experiments may be valuable in enhancing and guiding animal experiments and promoting the transformation of the results.

Expression model for multiple relationships in the ontology of traditional Chinese medicine knowledge

Objective:To explore multiple relationships in traditional Chinese medicine(TCM)knowledge by comparing binary and multiple relationships during knowledge organization.Methods:Characteristics of binary and multiple semantic relationships as well as their associations are described.A method to classify multiple relationships based on the involvement of time is proposed and theoretically validated using examples from the ancient TCM classic Important Formulas Worth a Thousand Gold Pieces.The classification includes parallel multiple relationships,restricted multiple relationships,multiple relationships that involve time,and multiple relationships that involve time restriction.Next,construction of multiple semantic relationships for TCM concepts in each classification using Protege,an ontology editing tool is described.Results:Protege is superior to a binary relationship and less than ideal with multiple relationships during the constitution of concept relationships.Conclusion:When applied in TCM,the semantic relationships constructed by Protege are superior than those constructed by correlation and/or attribute relationships,but less ideal than those constructed by the human cognitive process.

Overviews to organizational model from Chinese traditional philosophy

This paper reviews the literatures of the traditional and the modem organizational model to generalize their categories, features and faults. Based on the unification of the Chinese traditional culture and the “YIN and YANG” principles, it discusses how to understand the hypotheses of the organizational models, analyzes the traditional and the leading models, and puts forward two hypotheses, the fixed structure and the flexible structure of organizations.