ObjectiveTo analyze the application trends and research hotspots of action observation therapy (AOT) in the field of stroke rehabilitation over the past decade. MethodsLiteratures on AOT in stroke rehabilitation published from January, 2016 to December, 2025 were retrieved from the Web of Science Core Collection database. CiteSpace 6.4.R1 was used for visual analysis. ResultsA total of 463 articles were included. The annual publication volume showed a fluctuating upward trend. The country with the highest number of publications was China, the most productive institution was Chang Gung University and Consiglio Nazionale delle Ricerche, and the most prolific author was Avanzini Pietro. Mirror neuron system, motor imagery, upper limb and facilitation were identified as high-frequency keywords and bursting words. ConclusionIn the past decade, the number of publications on AOT in stroke rehabilitation has generally increased. Researches are focusing on the synergy of sensory-closed-loop multimodal technologies, reconstruction of fine upper limb function and neural facilitation mechanisms.

Extracellular vesicles (EVs) are pivotal mediators of intercellular communication within the tumor immune microenvironment (TME). They are broadly categorized into exosomes, microvesicles, and apoptotic bodies based on their distinct biogenesis pathways. Exosomes originate from the endosomal system via multivesicular body fusion, microvesicles bud directly from the plasma membrane, and apoptotic bodies are released during programmed cell death. By shuttling diverse bioactive cargoes—including proteins, lipids, and nucleic acids such as mRNA, miRNA, and DNA—EVs exert dual modulatory effects on tumor initiation, progression, and immune evasion. Importantly, EVs exhibit remarkable compositional heterogeneity that is intrinsically linked to their cellular origin. Tumor-derived EVs (TDEVs) are typically enriched with immunosuppressive molecules like PD-L1, TGF‑β, and miR-21, which promote tumor immune escape and metastasis. In contrast, EVs derived from immune cells, such as dendritic cells or cytotoxic T lymphocytes, often carry immunostimulatory components including antigens, co-stimulatory molecules, and granzymes, thereby potentiating anti-tumor immunity. This review systematically delineates the biogenesis and molecular composition of EVs, with a particular emphasis on their dynamic regulatory functions within the TME. Specifically, we discuss how EVs mediate intricate crosstalk between immune and tumor cells, facilitating signal transfer that reshapes immune surveillance. For instance, TDEVs can induce macrophage polarization toward an M2-like pro-tumor phenotype, while also suppressing natural killer cell cytotoxicity and dendritic cell maturation. The clinical utility of EV-associated biomarkers in liquid biopsy is increasingly recognized. Circulating EVs carry tumor-specific molecular signatures that mirror the genetic and proteomic alterations of primary tumors, enabling non-invasive early diagnosis, molecular subtyping, and real-time monitoring of therapeutic responses. Their natural biocompatibility, low immunogenicity, and intrinsic ability to traverse biological barriers make them ideal candidates for drug delivery systems. This review explores cutting-edge applications, including the use of EVs in immune checkpoint blockade therapy—for instance, engineered EVs displaying anti-PD-1 antibodies or carrying siRNA to silence immunosuppressive genes. Moreover, EV-based tumor vaccines are being developed, leveraging dendritic cell-derived EVs loaded with tumor antigens to elicit potent T cell responses. The feasibility of loading EVs with therapeutic molecules such as chemotherapeutic agents, oncolytic viruses, or CRISPR-Cas9 components is also under active investigation. The advent of engineered EVs has further expanded their therapeutic potential. Through surface modification or cargo encapsulation, EVs can be tailored for targeted delivery and controlled release, enhancing precision immunotherapy. However, several hurdles impede clinical translation. Current isolation and purification methods, such as ultracentrifugation and size-exclusion chromatography, suffer from low yield and purity. Distinguishing EV subpopulations remains technically challenging due to overlapping size and marker expression. Moreover, the lack of standardized protocols for EV production, characterization, and quality control poses significant barriers to regulatory approval and clinical adoption. Looking forward, the convergence of multi-omics technologies with artificial intelligence offers a powerful approach to decipher EV heterogeneity and identify robust diagnostic signatures. Machine learning algorithms can integrate proteomic, transcriptomic, and lipidomic data from large patient cohorts to construct predictive models for cancer diagnosis and prognosis. Concurrently, advances in bioengineering are enabling the design of next-generation EVs with enhanced targeting specificity, on-demand drug release, and reduced off-target effects. Future efforts should also focus on establishing good manufacturing practice (GMP)‑compliant production processes and conducting rigorous preclinical and clinical evaluations. In summary, this review provides a comprehensive overview of EV biology, their multifaceted roles in the TME, and their transformative potential in cancer diagnostics and therapeutics. By addressing current challenges and leveraging emerging technologies, EV-based strategies are poised to revolutionize precision oncology.

ObjectiveTo investigate the possible mechanism of Jishe Qushi Capsule （脊蛇祛湿胶囊， JQC） in treating rheumatoid arthritis （RA） from the perspective of macrophage polarization mediated by neutrophil extracellular traps （NETs）. MethodsTwenty-four female SD rats were randomly divided into four groups， blank control group， model group， JQC group， and peptidylarginine deiminase 4 （PAD4） inhibitor group with 6 rats in each group. All groups but the blank control group were subjected to the induction of collagen-induced arthritis （CIA）. After successful model establishment， rats in the JQC group received intragastric administration of JQC 1.47 g/kg daily； rats in the PAD4 inhibitor group received intraperitoneal injections of the PAD4 inhibitor 4 mg/kg weekly. Rats in the blank， model， and PAD4 inhibitor groups received 2 ml of pure water daily by gavage. All treatments lasted 4 weeks. Joint lesions of each group were assessed on day 7， 14， 21， 28， and 35 after model establishment， and arthritis index （AI） scores were recorded. At 24 h after the final administration， histopathology of knee joints， including HE staining， safranin O-fast green staining， and TRAP staining， was performed. Flow cytometry was used to detect the counts of M1 and M2 macrophages in peripheral blood. ELISA was used to determine serum levels of TRACP， NETs， TNF-α， IL-1β， and iNOS. Western Blotting and qRT-PCR were used to measure MPO， NE， RANKL， OPG， and p65 protein and mRNA expression in knee cartilage tissue. ResultsCompared with the blank control group， the model group showed increased AI scores （P＜0.05）， marked synovial inflammatory infiltration， angiogenesis， and bone-cartilage destruction， increased TRAP-positive osteoclasts， increased M1 macrophages and decreased M2 macrophages， elevated serum TRACP， NETs， TNF-α， IL-1β， and iNOS （P＜0.05）， elevated MPO， NE， RANKL， and p65 protein/mRNA expression and decreased OPG protein/mRNA expression in knee cartilage tissue （P＜0.05）. Compared with the model group， the JQC group exhibited improved synovial inflammation， angiogenesis， and bone-cartilage damage， reduced AI scores on day 21， 28， and 35， decreased osteoclast counts， decreased M1 macrophages and increased M2 macrophages， reduced serum TRACP， NETs， TNF-α， IL-1β， and iNOS （P＜0.05）， decreased MPO， NE， RANKL， and p65 protein/mRNA expression and increased OPG expression （P＜0.05）. Compared with the PAD4 inhibitor group， the JQC group showed significantly lower AI scores， reduced M1 macrophages， increased M2 macrophages （P＜0.05）， reduced serum TRACP， TNF-α， IL-1β， and iNOS， decreased MPO， RANKL， and p65 expression， and increased OPG levels （P＜0.05）. ConclusionThe therapeutic mechanism of JQC for RA may involve inhibition of NETs formation， downregulation of the RANKL/NF-κB signaling pathway， and regulation of macrophage M1/M2 polarization imbalance， thereby suppressing osteoclastogenesis and inflammatory bone destruction.

Diabetic Peripheral Neuropathy （DPN） is one of the most common and harmful complications of type 2 diabetes. DPN's pathogenesis include high blood sugar-induced oxidative stress， inflammation， and mitochondrial dysfunction. These factors are combined to damage nerve fibers， leading to sensory issues， pain， and numbness. Through a coordinated effect， these factors trigger nerve fiber damage and lead to sensory abnormalities， pain and numbness in limbs， and other symptoms， seriously restricting patients' activities of daily living and mobility. Recent research highlights that cellular senescence plays a critical role in DPN. Cellular senescence is manifested by the loss of cell proliferation ability， and further aggravates nerve damage via oxidative stress， mitochondrial dysfunction， autophagy impairment， inflammatory reaction， and other mechanisms， accelerating DPN occurrence and progression. In terms of medical treatment， current methods focus on blood sugar control， pain relief medicine， and microcirculation improvement， while no therapy has been developed based on cellular senescence. In contrast， traditional Chinese medicine （TCM） shows a unique advantage in DPN prevention and treatment via cellular senescence modulation. TCM emphasizes a holistic approach， as well as syndrome differentiation and treatment， effective in anti-aging and nerve damage repair. Recent studies show that TCM active ingredients， including puerarin， ginsenosides， and berberine， can reduce inflammation， oxidative stress， and apoptosis via signaling pathway regulation， thereby slowing cellular senescence to alleviate nerve damage. Furthermore， TCM compounds such as Buyang Huanwutang， Taohong Siwutang， and Huangqi Guizhi Wuwutang exert synergistic effects on cellular senescence-related pathways to improve nerve health and reduce DPN clinical symptoms. Therefore， this paper reviews the literature related to the interaction between cellular senescence and DPN from the perspective of cellular senescence， summarizing the mechanism of DPN and TCM intervention strategies.

ObjectiveTo investigate the inhibitory effect of Biejiajian Pills （BJJW） on the growth of liver cancer， as well as its potential mechanism in mediating the AMP-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR） pathway through mitochondrial energy metabolism. MethodsHuman hepatoma Huh7 cells were used to establish a nude mouse model of subcutaneous xenograft tumor. A total of 18 tumor-bearing nude mice were randomly divided into model group， BJJW group （2.2 g/kg）， and metformin group （250 mg/kg）， and the corresponding drug was given by gavage for 14 consecutive days. Tumor volume and weight were monitored during the experiment； HE staining was used to observe histopathological changes； the levels of reactive oxygen species （ROS） and adenosine triphosphate （ATP） in tumor tissue were measured； immunohistochemistry and Western blotting were used to measure the expression levels of proteins associated with the AMPK/mTOR pathway. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the Tukey’s test was used for further comparison between two groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups， and the Dunn’s test was used for further comparison between two groups. ResultsCompared with the model group， the BJJW group had a tumor inhibition rate of 45.73%， with significant reductions in both tumor volume and weight （P<0.01）. Pathological examination showed that compared with the model group， the BJJW group had a significant reduction in the number of tumor cells and the presence of extensive necrosis. Mechanistic studies showed that compared with the model group， the BJJW group had a significant increase in ROS level （P<0.001） and a significant reduction in ATP level （P<0.001）， as well as significant increases in p-AMPK/AMPK ratio （0.81±0.20 vs 0.13±0.04， P<0.01） and p-ULK1/ULK1 ratio （0.69±0.17 vs 0.18±0.13， P<0.01） and a significant reduction in p-mTOR/mTOR ratio （1.34±0.16 vs 3.20±0.62， P<0.01）. ConclusionBJJW may inhibit the growth of liver cancer by inducing mitochondrial energy metabolism dysfunction， increasing the level of ROS， reducing the level of ATP， and activating the AMPK/mTOR signaling pathway.

Objective To investigate the radon activity concentrations in subways of Nanning City and assess the average annual effective doses for subway staff and passengers due to radon exposure. Methods Sixty-three stations across the subway lines 2, 3, and 5 were selected as study sites. Radon activity concentrations were measured using the scintillation counting method with scintillation vials. Results The radon activity concentrations in subway lines 2, 3, and 5 were 7.9-24.4, 12.0-26.2, and 12.6-18.2 Bq/m³, respectively. The average radon activity concentrations for these three lines were (17.4 ± 4.6), (19.1 ± 4.1), and (14.6 ± 1.7) Bq/m³, respectively. Statistical analysis using SPSS 26.0 software revealed a significant difference in radon activity concentrations among these stations (P<0.01). Considering the data in previous research, the average radon activity concentration across all stations in the subway lines of Nanning City was determined to be 17.4 Bq/m³. The estimated average annual effective dose due to radon exposure was 0.131 mSv for subway staff and 0.033 mSv for passengers. Conclusion The radon activity concentrations in the subway lines of Nanning City were significantly lower than the national standard limit (400 Bq/m³). The annual effective doses from radon exposure for both subway staff and passengers were below the limits specified in the Basic Standards for Protection Against Ionizing Radiation and for the Safety of Radiation Sources (GB18871—2002). The health impact of radon and its progeny on subway staff and passengers in the subway lines of Nanning City was extremely low and can be considered negligible.

OBJECTIVE To investigate the ameliorative effect and mechanism of short-acting exenatide on diabetic cognitive dysfunction. METHODS Spontaneously diabetic db / db mice were randomly divided into model group （normal saline） and exenatide group （50 μg/kg）， with db / m mice as the normal control group （normal saline）， with 8 mice in each group. Mice in each group were subcutaneously injected with corresponding drugs or normal saline twice daily for 8 consecutive weeks. Body weight and fasting blood glucose were measured at a fixed time every week. Cognitive function was evaluated by Morris water maze test. The levels of oxidative st ress indicators [malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione （GSH） ] ， cyclic adenosine monophosphate （cAMP） and protein kinase A （PKA） were detected in hippocampus tissue of mice. The hippocampal neuronal HT22 cells of mice were divided into control group （25 mmol/L glucose）， high glucose group （125 mmol/L glucose）， high glucose+exenatide group （125 mmol/L glucose+20 nmol/L exenatide）， high glucose+exenatide+H89 （PKA inhibitor） group （125 mmol/L glucose+20 nmol/L exenatide+10 μmol/L H89）， and high glucose+H89 group （125 mmol/L glucose+10 μmol/L H89）. After 48 h of intervention with corresponding solutions/culture medium， the levels of oxidative stress indicators， cAMP and PKA， the activities of mitochondrial respiratory enzymes Ⅱ and Ⅳ， and the phosphorylation level of dynamin-related protein 1 （Drp1） were measured. RESULTS Animal experiments showed that compared with the normal control group， the model group exhibited significantly increased body weight， fasting blood glucose and MDA level in the hippocampus （ P ＜0.05）， as well as significantly prolonged escape latency （ P ＜0.05）； swimming speed significantly slowed down， the time spent in the target quadrant， the number of platform crossings， and the levels of SOD， GSH， cAMP and PKA in the hippocampus were significantly decreased （ P ＜0.05）. Compared with model group， all the above indicators （except for swimming speed） in the exenatide group were significantly reversed （ P ＜0.05）. Cell experiments showed that compared with high glucose group， the high glucose+exenatide group had significantly decreased MDA level （ P ＜0.05）， and significantly increased levels of SOD， GSH， cAMP and PKA， the activities of mitochondrial respiratory enzymes Ⅱ and Ⅳ， and phosphorylation level of Drp1 （ P ＜0.05）. Compared with high glucose+exenatide group， the above indicators in the high glucose+exenatide+H89 group were significantly reversed （ P ＜0.05）. CONCLUSIONS Short-acting exenatide can activate the cAMP/PKA pathway， promote Drp1 phosphorylation， and increase the activities of mitochondrial respiratory enzymes， thereby maintaining mitochondrial stability， reducing oxidative stress injury， and ultimately improving diabetic cognitive dysfunction.

Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

Fresh-cut processing constitutes a pivotal technique in the origin processing of Chinese medicinal materials， with a long history documented in multiple materia medica. In recent years， it has garnered national policy support for its ability to prevent component loss and low processing efficiency associated with traditional drying-before-cutting methods. As of August 2025， 26 provinces and municipalities nationwide have cumulatively published 789 species for fresh-cut processing. Among these， 78 were included in the 2025 edition of the Pharmacopoeia of the People's Republic of China. However， the practice continues to face common challenges and difficulties， including ambiguous scientific understanding， fragmented standards， limited quality control approaches， and poor process stability. Based on this， this paper synthesises years of research findings to systematically elucidate the core mechanisms of fresh-cut processing. These encompass alterations to herbal tissue structure during cutting， post-processing changes in constituents， and physiological-biochemical processes such as plant stress responses and shifts in endogenous enzyme activity. It also summarises influencing factors， including inherent herbal properties， cutting timing and methods， and environmental conditions like temperature， humidity， and microbial presence. Based on this overview of fresh-cutting mechanisms， subsequent research should advance in four directions：Clarifying the scientific principles of fresh-cutting， overcoming technical bottlenecks， upgrading intelligent equipment， and establishing quality standards and evaluation systems. This study provides a theoretical foundation and scientific basis for future research on fresh-cutting in traditional Chinese medicine（TCM）， promoting its deeper practical application within the industry and contributing to the high-quality development of TCM industry and the modernization of TCM.

Objective: To explore the association between meat consumption and anxiety symptoms in first year junior high school students in Yunnan Province, and to provide theoretical support for preventing and relieving anxiety symptoms in junior high school students. Methods: From October to December 2022, a random cluster sampling method was used to select 8 500 first year junior high school students from 11 counties in Yunnan Province as the survey subjects for a questionnaire survey. The study used Food Frequency Questionnaire and the Chinese version of the Depression Anxiety Stress Scale-21 (DASS-21) to assess the meat consumption and anxiety symptoms of junior high school students.The distribution differences in anxiety symptoms among first year junior high school students with different demographic characteristics were analyzed statistically by using the Chi-square test,and the association between meat consumption and anxiety symptoms in students was analyzed by using a generalized linear model. Results: The detection rate of anxiety symptoms was 48.47%. After controlling for demographic variables and confounding factors, the consumption of livestock meat, poultry meat, processed meat, cured meat, barbecued meat and raw skin meat was statistically significant with anxiety symptoms ( β =-0.05, 0.04, 0.04, 0.08, 0.14, 0.17, all P <0.05). Stratified by ethnicity, The consumption of livestock meat, cured meat and barbecue was statistically correlated with anxiety symptoms in Han adolescents ( β =-0.07, 0.14, 0.22 ); the consumption of processed meat and raw skin meat was statistically correlated with anxiety symptoms in ethnic minority adolescents ( β =0.08, 0.18) (all P <0.05). Conclusions There is a statistical association between meat comsumption and the risk of anxiety symptoms in first year junior high school students in Yunnan Province. Guidance on meat consumption should be strengthened to prevent the occurrence of anxiety symptoms.