Osteoarthritis (OA) is a prevalent degenerative joint disease predominantly affecting the elderly and is characterized by cartilage degradation, synovitis, and subchondral bone sclerosis. Despite its widespread occurrence, no effective pharmacological interventions currently exist to halt or reverse disease progression. Polyphenolic compounds, a diverse class of plant-derived substances, have attracted considerable attention for their potent anti-inflammatory and antioxidant activities. This review summarizes recent advances in understanding the multifaceted roles of polyphenols in OA. Specifically, polyphenols protect chondrocytes and preserve the extracellular matrix by mitigating oxidative stress, suppressing inflammation, regulating autophagy and cholesterol metabolism, and inhibiting programmed cell death pathways, including apoptosis, pyroptosis, and ferroptosis. Furthermore, they exert protective effects on synovial tissue by regulating macrophage polarization and inhibiting pathogenic fibroblast activation, while also contributing to the maintenance of subchondral bone homeostasis. Recent progress in nanotechnology-based delivery systems, designed to overcome the poor solubility and limited bioavailability of polyphenols, is also highlighted. Collectively, this review integrates mechanistic insights with emerging therapeutic strategies, underscoring the potential of polyphenolic compounds as disease-modifying agents for OA.

Objective To explore the barriers of implementing collaborative chronic wound management within medical consortium and provide references for ensuring continuous care for chronic wound patients.Methods Using purposive and snowball sampling methods,14 specialist nurses participating in chronic wound collaborative management across medical consortium in 7 provinces/municipalities(Beijing,Shanghai,Zhejiang,Sichuan,etc.)were selected for semi-structured interviews between December 2023 and January 2024.Data were analyzed via content analysis.Results Totally 4 themes and 8 subthemes were identified,including management and organizational level(the management system needs improvement;the function of medical information mutual recognition has not been fully realized),resource and technology level(there are insufficient nursing resources at the grassroots hospitals;the specialized nursing capabilities of wound nurses at grassroots hospitals need to be enhanced),patient and demand level(patients' trust is insufficient;patients' concepts are rigid),information technology and support level(the informatization construction of grassroots hospitals lags behind;the intelligence of information systems is insufficient).Conclusion Wound specialist nurses encounter various difficulties when participating in the coordinated management of chronic wounds within the medical consortium.The management and organizational system constraints hinder the effectiveness of the nursing coordination;the resource and technology gap affects the implementation of graded wound care in the region;the lack of patient trust and misconceptions intensify the resistance to coordination;the lagging in information technology construction limits the innovative development of nursing coordination.

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Traditional Chinese medicine(TCM) is the pillar for the development of motherland medicine, and animal medicine has a long history of application in China, characterized by wide resources, strong activity, definite efficacy, and great benefits. It has significant potential and important status in the consumption market of raw materials of TCM. In the context of global climate change, farming system alterations, and low renewability, the depletion of wild medicinal animal resources has accelerated. Accordingly, the conservation and sustainable utilization of wild resources of animal medicinal materials has become a problem that garners increasing attention and urgently needs to be solved. This paper summarizes the current situation of domestic and foreign medicinal animal breeding and research progress in industrial application in recent years and points out the issues related to standardized breeding, germplasm selection and breeding, and quality evaluation standards for medicinal animals. Furthermore, this paper discusses standardized breeding, quality standards, resource protection and utilization, and the search for alternative resources for rare and endangered medicinal animals. It proposes that researchers should systematically carry out in-depth basic research on animal medicine, improve the breeding scale and level of medicinal animals, employ modern technology to enhance the quality standards of medicinal materials, and strengthen the research and development of alternative resources. This approach aims to effectively address the relationship between protection and utilization and make a significant contribution to the sustainable development of medicinal animal resources and the animal-based Chinese medicinal material industry.
Animals ; Breeding ; China ; Medicine, Chinese Traditional ; Conservation of Natural Resources

Aim To investigate the effect of Brusatol a-gainst small cell lung cancer(SCLC)and its potential mechanism.Methods CCK-8 assay and flow cytome-try were used to detect the cytotoxic effect of Brusatol on SCLC cells.Western blot was employed to measure the expression levels of apoptosis-related proteins,in-cluding cleaved poly(ADP-ribose)polymerase(cleaved-PARP),B-cell lymphoma 2(Bcl-2)and Bcl-2-associated X protein(Bax).Network pharma-cology databases were utilized to identify common tar-gets of Brusatol,SCLC,and apoptosis.Kyoto Encyclo-pedia of Genes and Genomes(KEGG)and Gene On-tology(GO)enrichment analyses were performed on the intersecting genes.Molecular docking simulations between Brusatol and core targets were conducted using the CB-DOCK2 online platform to calculate binding en-ergies and sites.Western blot was further applied to detect the expression levels of signal transducer and ac-tivator of transcription 3(STAT3)and phosphorylated-STAT3(p-STAT3).Results Brusatol inhibited SCLC cell growth and induced apoptosis,significantly downregulating Bcl-2 and cleaved-PARP while upregu-lating Bax expression(P＜0.05).Network pharma-cology analysis revealed 108 common targets of Brusa-tol and SCLC,with the top three core targets being ep-idermal growth factor receptor(EGFR),STAT3,and tumor necrosis factor(TNF).Molecular docking re-sults indicated strong binding affinity between bruceine D and these core targets.Western blot validation con-firmed that bruceine D suppressed the expression of STAT3 and p-STAT3.Conclusion Brusatol exerts anti-SCLC effects by inhibiting STAT3 to induce apop-tosis in SCLC cells.