ObjectiveTo evaluate the anti-inflammatory activity of the novel magnolol ester derivative YW and to investigate its effects on chondrocyte senescence and preliminary mechanisms. MethodsMagnolol and p-methylbenzoic acid were used as raw materials to synthesize the magnolol ester derivative YW （Molecular Formula： C₂₆H₂₄O₃， Molecular Weight： 384.17， HPLC Purity >96%） via DCC/DMAP-catalyzed esterification. Cytotoxicity was assessed using the CCK-8 assay. A lipopolysaccharide （LPS）-induced RAW264.7 macrophage activation model and an interleukin-1β （IL-1β）-induced rat primary chondrocyte model were established. The release and mRNA expression of inflammatory factors including nitric oxide （NO）， IL-1β， tumor necrosis factor-alpha （TNF-α）， and IL-6 were detected by enzyme-linked immunosorbent assay （ELISA）， Griess reagent method， and quantitative real-time PCR （RT-qPCR）. The expression of senescence markers such as inducible nitric oxide synthase （iNOS）， pro-interleukin-1β （pro-IL-1β）， lysine acetyltransferase 7 （KAT7）， cyclin-dependent kinase inhibitor 1A （p21）， and cyclin-dependent kinase inhibitor 2A （p16）， as well as proteins related to chondrocyte extracellular matrix synthesis and catabolism， were analyzed by Western blot （WB）. Molecular docking was performed using Discovery Studio 2019 to validate target binding. ResultsYW exhibited no significant cytotoxicity at concentrations ≤20 μmol/L. YW concentration-dependently inhibited LPS-induced macrophage inflammatory cytokine release， significantly downregulated iNOS， Pro-IL-1β protein， and inflammatory cytokine mRNA expression （P<0.01）. YW stably bound to KAT7 protein （binding energy： -94.2 kcal/mol）； YW downregulated KAT7 and aging marker protein expression in naturally aged and IL-1β-induced chondrocyte models （P<0.01）； YW regulated chondrocyte matrix synthesis and catabolic protein expression in IL-1β-induced chondrocytes （P<0.01）. ConclusionYW inhibits macrophage activation and inflammatory cytokine release while downregulating KAT7 and senescence marker protein expression in chondrocytes， thereby blocking chondrocyte senescence.

Background: Primary dysmenorrhea is the most prevalent gynecological complaint among women of reproductive age, often manifesting as intense cramping pain in the lower abdomen during menstruation. Although pharmaceutical interventions such as nonsteroidal anti-inflammatory drugs (NSAIDs) and oral contraceptives are commonly used to manage symptoms, their temporary effects and frequent side effects, including gastrointestinal issues and hormonal imbalances, limit long-term use. As a result, there is growing interest in complementary and alternative therapies. Huolongguan moxibustion, a traditional Chinese medical technique involving the burning of mugwort (Artemisia vulgaris) near specific acupoints, is believed to enhance energy (qi) flow, promote blood circulation, reduce pain, and restore the balance of body functions. Aim: This study aims to investigate the clinical effectiveness of moxibustion in alleviating menstrual pain and improving overall well-being in patients with primary dysmenorrhea. Additionally, the study seeks to evaluate the feasibility and relevance of applying this traditional technique within contemporary medical practice. Materials and Methods: The study used a non-randomized clinical trial, double-blind, placebo-controlled design with treatment (n=30) and control (n=30) groups. Pain intensity will be assessed using the Visual Analogue Scale (VAS), while quality of life will be measured using the EQ-5D questionnaire. Psychological status, including anxiety and depression levels, will be evaluated using Cox mentrual symptom scale (CMSS). Data will be collected at baseline and post-treatment, followed by statistical analysis to determine treatment efficacy. Result: In the experimental group that received sealed cupping moxibustion therapy, the COX score decreased by approximately 99% after 3 months compared with the baseline value, whereas in the control group it decreased by approximately 27%. In addition, the VAS and EQ-5D-5L scores in the experimental group showed a statistically significant reduction as the duration of treatment increased (P<0.001), indicating that sealed cupping moxibustion therapy effectively reduced pain and related symptoms. Conclusion The results of this study demonstrate that cupping moxibustion therapy significantly reduces pain and associated symptoms in patients with primary dysmenorrhea and improves their quality of life. The therapeutic effect increased with longer treatment duration, and the outcomes in the experimental group were significantly better than those in the control group. Therefore, cupping moxibustion therapy may be considered an effective traditional therapeutic approach for the management of primary dysmenorrhea.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective To explore the predictive value of albumin,hemoglobin and multifactorial model for poor postoperative prognosis in elderly patients with meningioma.Methods A retrospective analysis was conducted on 253 elderly patients who underwent meningioma surgery and were transferred to the neurosurgical intensive care unit(NICU)at General Hospital of Northern Theater Command from January 2019 to September 2021,serving as the modeling cohort.Another 227 elderly patients who were treated in NICU after meningioma surgery from November 2021 to June 2023 were used as the validation cohort.Patients in the modeling cohort were categorized into good prognosis group[Glasgow Coma Scale(GCS)score>7,n=161]and poor prognosis group(GCS≤7,n=92)based on the GCS.Univariate and multifactorial logistic regression analyses were performed on the modeling cohort to identify independent risk factors,and a multifactorial model for predicting poor postoperative prognosis in elderly patients with meningioma was constructed based on these factors.The predictive efficacy and accuracy of the model were evaluated using the area under the receiver operating characteristic(ROC)curve(AUC),sensitivity,specificity,Hosmer-Lemeshow goodness-of-fit test,and calibration curves.The predictive value of postoperative albumin,hemoglobin,and the multifactorial models for postoperative prognosis in elderly meningioma patients was assessed using restricted cubic spline modeling(RCS),decision curves(DCA),and validated using an external validation cohort to assess the stability of the model.Results Meningioma WHO grade Ⅱand Ⅲ(OR=3.994,95％CI 1.963-8.126),postoperative hypoalbuminemia(OR=2.194,95％CI 1.079-4.462),and postoperative anemia(OR=2.117,95％CI 1.096-4.089)were identified as independent risk factors for poor postoperative prognosis in elderly meningioma patients(P<0.05),while the use of analgesic/sedative medications was a protective factor(OR=0.388,95％CI 0.201-0.748,P<0.05).The Hosmer-Lemeshow test indicated that the constructed multifactorial model had a good fit accuracy(P=0.161).The AUC for predicting poor postoperative prognosis in elderly meningioma patients for postoperative albumin and hemoglobin were 0.545(95％CI 0.472-0.617)and 0.632(95％CI 0.561-0.702),respectively,and showed a nonlinear dose-response relationship with prognosis(P<0.01).DCA analysis results showed that the net benefit rate of multifactorial model was higher than that of postoperative albumin and hemoglobin when the threshold probabilities were between 0.10 and 0.90.The AUC for predicting postoperative prognosis in the elderly meningioma patients in the modeling and validation cohorts were 0.810 and 0.819,respectively,and their calibration curves suggested good discrimination and accuracy.Conclusions Meningioma WHO grades Ⅱ and Ⅲ,postoperative anemia and hypoalbuminemia are independent risk factors for poor postoperative prognosis in elderly meningioma patients,while the use of analgesic/sedative drugs is a protective factor.The multifactorial model constructed based on these factors has a good predictive efficacy and credibility,and can be used as a reference for clinical decision-making.

Objective To investigate the effects of advanced maternal age(AMA)on synaptic pruning of the hippocampus of offspring rats.Methods Offspring of 3-month-old SD female rats and 3-month-old SD male rats were designated as the appropriate age group(Ctl group),while offspring of 12-month-old SD female rats and 3-month-old SD male rats were assigned to AMA group.Hippocampal tissues from both groups(n=3 per group at each time point)were subjected to Golgi staining on postnatal days(P)7,28,and 60.Dendritic complexity,spine density(DS),and morphology of immature brain neurons at different age stages were compared between the two groups.Results Compared with Ctl group,the dendritic length of AMA group on P7,P28,and P60 was significantly shortened,and the average number of intersections between dendrites and concentric circles on P28 and P60 was also significantly decreased(P<0.05).Compared with Ctl group,the dendritic spine density of AMA group was significantly decreased on P7,P28,and P60.Notably,the density of thin-shaped dendritic spines in AMA group was increased on P7,whereas the densities of stubby-shaped and mushroom-shaped dendritic spines were decreased(P<0.05).On P28 in AMA group,the densities of thin-shaped and mushroom-shaped dendritic spines were significantly increased compared with Ctl group,while the density of stubby-shaped dendritic spines was significantly decreased(P<0.05).The densities of stubby-shaped and mushroom-shaped dendritic spine were markedly lower in AMA group on P60 than those in Ctl group(P<0.05).Conclusions During postnatal brain development periods,there were abnormalities in synaptic pruning in the hippocampal region of the offspring of the AMA,which manifested as reduced dendritic complexity,decreased dendritic spine density,and disorganized dendritic spine morphology.It could be one of the key mechanisms underlying brain dysfunction in the offspring of AMA.

Objective To observe the therapeutic effects of different doses of methylprednisolone(MP)on smoke inhalation-induced acute lung injury(SI-ALI)in rats,and to explore the changes in the expression of aquaporins(AQPs)and the underlying mechanisms for alleviating lung injury.Methods A total of 86 healthy adult male Sprague-Dawley(SD)rats were randomly divided into five groups:control group(n=6),smoke inhalation injury(SI)group(n=20),low-dose MP group(LMP,SI+0.4 mg/kg MP,n=20),medium-dose MP group(MMP,SI+4 mg/kg MP,n=20),and high-dose MP group(HMP,SI+40 mg/kg MP,n=20).A model of smoke inhalation-induced lung injury was established.The survival status of the rats in each group was monitored.Lung tissues were collected 24 hours after injury to determine the wet-to-dry(W/D)ratio of the lung tissues,arterial oxygen partial pressure(PaO2),and the expression levels of inflammatory cytokines TNF-α and IL-6.The degree of lung injury was evaluated using HE staining,and the mRNA and protein expression levels of AQP1 and AQP5 in the lung tissues were detected.Results Compared with control group,the survival rate of the rats in SI group was significantly decreased(P<0.05);compared with SI group,the survival rates of the rats in MMP and HMP groups were significantly increased(P<0.05).Compared with control group,the PaO2 of the Rats in SI group was significantly decreased(P<0.05),and the wet-to-dry(W/D)ratio and lung injury scores were significantly increased(P<0.05).Compared with SI group,the PaO2 of the rats in LMP,MMP,and HMP groups(P<0.05)was significantly increased(P<0.05),and the lung W/D ratio and injury scores in MMP and HMP groups were significantly decreased(P<0.05).ELISA results showed that compared with control group,the serum concentrations of TNF-α and IL-6 in SI group were significantly increased(P<0.05);compared with SI group,the concentrations of TNF-α and IL-6 in MMP and HMP groups were significantly decreased(P<0.05).HE staining revealed that the alveolar structure of the rats in SI group was severely damaged;compared with SI group,the damage to the alveolar structure in MMP and HMP groups was alleviated.Real-time PCR and Western blotting analysis results showed that compared with control group,the mRNA and protein expression levels of AQP1 and AQP5 in lung tissues in SI group were significantly decreased(P<0.05);however,compared with SI group,these levels in LMP,MMP,and HMP groups were significantly increased(P<0.05).Conclusions Smoke inhalation can induce acute lung injury in rats and down-regulate the expression levels of AQP1 and AQP5 in the lung tissues.Methylprednisolone can alleviate pulmonary edema and tissue damage in rats caused by smoke inhalation,and induce the up-regulation of the expression of AQP1 and AQP5.

Objective To establish and evaluate a nomogram prediction model for spontaneous peritonitis in HBV-related primary liver cancer.Methods A retrospective study was conducted on 1298 patients with HBV-related primary liver cancer hospitalized in the Kunming Third People's Hospital from January 2012 to December 2022.General data and serological indicators were collected,and patients were divided into infection group(n=262)and control group(n=1036)based on the occurrence of spontaneous peritonitis.Univariate and LASSO regression analyses were used to screen variables,followed by binary logistic regression to analyze the influencing factors of spontaneous peritonitis in HBV-related primary liver cancer patients,leading to the establishment of a nomogram prediction model.Finally,the Hosmer-lemeshow(H-L)goodness of fit test,receiver operating characteristic(ROC)curve,calibration curve,decision curve analysis(DCA)and clinical impact curve(CIC)were utilized to evaluate the fit degree,accuracy,calibration,and clinical practicability of the nomogram prediction model.Results Single factor analysis revealed significant differences between infection group and control group in portal vein cancer thrombus(PVTT),Child-Pugh grade,China Liver Cancer Staging(CNLC)stage,alcohol consumption history,smoking history,white blood cell count(WBC),neutrophil count(NE),hemoglobin(Hb),fibrinogen(FIB),abnormal prothrombin(PIVKA-Ⅱ),aspartate aminotransferase(AST),alanine aminotransferase(ALT),total protein(TP),prealbumin(PA),γ-glutamyltransferase(GGT),alkaline phosphatase(ALP),cholinesterase(CHE),total bile acid(TBA),total cholesterol(TC),low density lipoprotein(LDL),creatinine(Cr),HBV DNA,CD3+T cells count,CD4+T cells count,CD8+T cells count,CD4+T cells/CD8+T cells ratio,procalcitonin(PCT),serum amyloid A(SAA),interleukin-6(IL-6),high-sensitivity C-reactive protein(hs-CRP),alpha-fetoprotein(AFP),and IL-4(P＜0.05).LASSO regression analysis identified 5 variables:Child-Pugh grade,PVTT,WBC,CHE and hs-CRP.Binary logistic regression analysis indicated that Child-Pugh grade(Grade B:OR=5.780,95％CI 3.271-10.213,P＜0.001;Grade C:OR=14.818,95％CI 7.697-28.526,P＜0.001),PVTT(OR=2.893,95％CI 2.037-4.108,P＜0.001),WBC(OR=1.088,95％CI 1.031-1.148,P=0.002),and hs-CRP(OR=1.005,95％CI 1.001-1.010,P=0.026)were the independent risk factors of spontaneous peritonitis in HBV-related primary liver cancer patients.Using these 4 variables,a nomogram prediction model was constructed and evaluated.The P-value of the H-L goodness of fit test was 0.760.Moreover,the area under ROC curve(AUC)was 0.866,with a sensitivity of 0.870 and a specificity of 0.716.The average absolute error of the calibration curve is 0.022.DCA and CIC analyses demonstrated that the nomogram prediction model possessed some clinical utility.Conclusion The nomogram prediction model for spontaneous peritonitis in HBV-related primary liver cancer patients,constructed using Child-Pugh grade,PVTT,WBC and hs-CRP,exhibits a high fitting degree and accuracy,with the prediction probability highly consistent with the actual occurrence probability,and possesses certain clinical practicability.

Facing of mounting resource constraints and rising demands for personalization in medical education,regional anatomy teaching urgently requires transformation.In this paper,we focus on the regional anatomy of the thoracic wall,in order to explore a novel AI-driven teaching paradigm.Anchored in the core principle of"virtual-real integration with cadaveric dissection as the cornerstone,"the paradigm redefines educational objective and constructs an intelligent,closed-loop teaching model integrating students,computers,and instructors.Leveraging the robust support of digital intelligence(e.g.,DeepSeek),this paradigm incorporates interactive method including group collaboration,branching instruction,and gamified assessments.It achieves a comprehensive intelligent transformation of the entire teaching process-from goal setting and plan customization to activity implementation,task completion,outcome exchange,multidimensional evaluation,and reflective iteration.This new paradigm centers on medical students and leverages digital intelligence to activate deep personalized learning potential.It seamlessly integrates fundamental anatomical knowledge with clinical scenarios(e.g.,key anatomy in breast cancer surgery,flap design in breast reconstruction),and significantly enhances clinical decision-making abilities,scientific research and innovative thinking,as well as medical humanistic literacy,paving a new path for intelligent medical education.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

This study identified 8 members including NjBIN2 of the GSK3 family in Nardostachys jatamansi by bioinformatics analysis. Moreover, the phylogenetic tree revealed that the GKS3 family members of N. jatamansi had a close relationship with those of Arabidopsis. RT-qPCR results showed that NjBIN2 presented a tissue-specific expression pattern with the highest expression in roots, suggesting that NjBIN2 played a role in root growth and development. In addition, the application of epibrassinolide or the brassinosteroid(BR) synthesis inhibitor(brassinazole) altered the expression pattern of NjBIN2 and influenced the photomorphogenesis(cotyledon opening) and root development of N. jatamansi, which provided direct evidence about the functions of NjBIN2. In conclusion, this study highlights the roles of BIN2 in regulating the growth and development of N. jatamansi by analyzing the expression pattern and biological function of NjBIN2. It not only enriches the understanding about the regulatory mechanism of the growth and development of N. jatamansi but also provides a theoretical basis and potential gene targets for molecular breeding of N. jatamansi with improved quality in the future.
Brassinosteroids/metabolism* ; Steroids, Heterocyclic/metabolism* ; Gene Expression Regulation, Plant/drug effects* ; Plant Proteins/metabolism* ; Phylogeny ; Nardostachys/metabolism* ; Plant Growth Regulators/pharmacology* ; Plant Roots/drug effects*