Taxifolin (Tax) has been proved to be a medicinal edible substance with protective effects against alcoholic liver injury, however, its poor hydrophilicity and permeability have hindered the clinical application of Tax. In this study, we prepared taxifolin-phosphatidylcholine/sodium deoxycholate/PVP-K30 micells (Tax-MLs). Box-Behnken test was used to obtain the optimal preparation process, and Tax-MLs were characterised by transmission electron microscopy and fourier transform infrared spectroscopy. Physicochemical parameters such as proximate micelle concentration, equilibrium solubility and oil-water partition coefficient were determined, and the release pattern of Tax-MLs was investigated by in vitro digestion simulation. Alcoholic liver injury model to explore the in vivo efficacy of Tax-MLs. The results showed that the average particle size, polydispersity index (PDI) and zeta potential of Tax-MLs were 36.90 ± 4.57 nm, 0.194 ± 0.01 and -32.6 ± 0.35 mV, respectively, and the uniform size and distribution of Tax-MLs were observed by transmission electron microscopy. The formation of Tax-MLs was proved by differential scanning calorimetry and fourier transform infrared spectroscopy. In terms of physicochemical properties, the solubility of Tax-MLs in water increased by 92.02 times compared with Tax, and its oil-water partition coefficient in water increased from 0.43 to 1.14, which proved that Tax-MLs could improve its solubility and permeability. The in vivo pharmacodynamic results showed that compared with the Tax group, Tax-MLs low, medium and high dose groups showed a significant reduction in liver indices and serum levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) (P < 0.05), and enhanced the activities of superoxide dismutase (SOD) and glutathione (GSH), and lowered the levels of malondialdehyde (MDA) more significantly in the hepatic tissues. Tax-MLs effectively improved drug solubility and permeability, and enhanced the protective effect against alcoholic liver injury. Animal experiments were conducted with approval from the Animal Ethics Committee of Changchun University of Traditional Chinese Medicine (approval number: 2023601).

Objective: To establish a risk assessment system for infectious disease prevention and control in schools in Shangcheng District, Hangzhou and determine risk levels for each school, and propose corresponding risk management measures, so as to provide a scientific reference for infectious disease prevention and control in primary and secondary schools. Methods: Based on the Failure Mode and Effects Analysis (FMEA) method, potential failure analysis and current situation investigation of infectious disease prevention and control risks were conducted in 110 primary and secondary schools from 2022 to 2024 in Shangcheng District, Hangzhou. Risk levels were classified using K-Means cluster analysis. Results: Through expert panel discussions using FMEA, 6 first level indicators and 28 second level indicators were identified. The top three risk priority numbers were implementation of required prevention and control measures for clustered infectious disease outbreaks in schools in the past three years ( 189.00 ), student morning/afternoon health checks (168.00), and reporting status of clustered infectious disease outbreaks in schools in the past three years (144.00). The comprehensive prevention scores of schools ranged from 61.00 to 98.00 (mean: 87.40 ). There were no statistically significant differences in the average scores(primary school: 88.17±7.39, nine year consistent education: 86.26±7.68, junior high school: 85.55±8.20, and high school: 88.72±4.91) and risk level distribution of schools with different educational stages( F/H=0.95,1.47, P >0.05).K-Means cluster analysis divided the schools into 5 risk levels with cluster centers at 93.25, 85.78, 79.69, 70.29, 61.00 ( F=309.21, P <0.05), with 80% of schools classified as low risk or below. Conclusion The infectious disease prevention and control risk assessment system for primary and secondary schools can be established, and hierarchical management can be conducted according to school risk levels, thereby improving the efficiency and effectiveness of school infectious disease prevention and control, and enhancing the precision and sustainability of prevention efforts.

During tumor progression, the mechanical properties of the tumor microenvironment play a pivotal regulatory role. As core mechanical indicators, cellular stiffness and extracellular matrix stiffness profoundly influence tumor development through multiple pathways, including cytoskeletal remodeling, activation of signaling pathways, and metabolic regulation. Studies have demonstrated that the tissue stiffness of various solid tumors is significantly higher than that of corresponding normal tissues, while their cellular stiffness exhibits the opposite trend. This mechanical characteristic is also observed in oral squamous cell carcinoma and exerts crucial regulatory effects during tumor progression. This review systematically summarizes the molecular composition and regulatory mechanisms underlying the stiffness of tumor cells and extracellular matrix (ECM). Mainstream stiffness detection technologies such as atomic force microscopy, microfluidic deformation, and real-time deformability cytometry are outlined, with particular emphasis on their applications and limitations in oncology research. This review comprehensively analyzes how mechanical properties regulate key processes in tumor progression, including growth, proliferation, invasion, metastasis, angiogenesis, lymphangiogenesis, drug resistance, and immune escape. This review synthesizes biomechanics-based therapeutic strategies, including: ① targeting the regulation of tumor cell stiffness through cytoskeletal modulators and cholesterol-depleting agents to enhance immune responses; ② reducing ECM stiffness by matrix remodeling enzyme inhibitors, ECM component modulators, or receptor antagonists to improve drug delivery efficiency, and combining with immunotherapy or photothermal therapy for enhanced therapeutic effects; ③ enhancing the mechanical adaptability and anti-tumor activity of immune cells through pharmacological or genetic approaches. This review establishes a robust conceptual framework for developing novel anti-tumor therapeutic strategies and provides insights for future clinical management of oral squamous cell carcinoma.

The aim of this study was to establish a laboratory research model for the desiccation tolerance of Coxiella bur-netii(C.burnetii),based on an axenic culture system.The conditions for osmotic pressure in the axenic culture system of C.burnetii were set via a gradient.Quantitative PCR was used to determine the C.burnetii genome equivalents during the culture cycle under different osmotic pressures,and the growth curves were recorded.In addition,the bacterial manifestations of C.burnetii obtained from eukaryotic cell cultures or cell-free cultures were analyzed with phase contrast microscopy and transmis-sion electron microscopy(TEM).The bacterial infection levels and vacuole forming units(VFU)were measured by infection of BGMK cells.C.burnetii showed as many as 7 days of adaptive survival in osmotic axenic medium under high osmotic condi-tions.The bacteria shrank by dehydration under extremely high osmotic pressure and appeared primarily as hypo-hydrated small cell variants(SCVs).The VFUs were significantly diminished 24 hours after infection,as compared with the parallel contrasts.The method for researching desiccation tolerance was thus successfully established.This method provides a basis for further investigation of the genetic mechanisms of the anti-desiccation properties of C.burnetii in the natural environment,through proteomics and other methods.

TRIM32(tripartite motif protein 32,TRIM32)plays an important role in cell differentiation and proliferation and is involved in a variety of biological processes,including signal transduction,apop-tosis,and gene expression regulation.In the previous study,our group found that TRIM32 knockout mice are less susceptible to methamphetamine(MA)addiction.The aim of this study was to investigate the effect of silencing TRIM32 by siRNA(small interfering RNA)transfection on the apoptosis of neuronal cells caused by MA addiction and its mechanism.In this paper,the expression of TRIM32 was silenced by siRNA in PC 12 cells,and subgroups were established:the normal control group,MA-treated group,TRIM32-silencing group,and TRIM32-silenceing+MA-treated group.The apoptosis of cells in each group was detected using in situ terminal deoxynucleotyl transferase-mediated dUTP-biotin nick end labe-ling assay(TUNEL staining),and the results showed that the percentage of cells in the TRIM32-silence-ing+MA-treated group was lower than the MA-treated group(P＜0.01),indicating that TRIM32 silen-cing could inhibit MA-induced apoptosis.We also detected the changes of mitochondrial membrane po-tential in each group,which was increased in the TRIM32-silenceing+MA-treated group compared with the MA treatment group(P＜0.05),indicating that TRIM32 silencing could regulate the MA-induced de-crease in mitochondrial membrane potential.The results of cellular immunofluorescence and Western blotting showed that the protein levels of cystatinase-3(caspase-3),cleaved-caspase-3(cleaved-caspase-3),and cytochrome c(Cyt-C)were significantly down-regulated in the TRIM32-silencing+MA-treated group compared with the MA-treated group(P＜0.01)and phosphatidylinositol 3-kinase(PI3K)and phospho-protein kinase B(p-AKT)were significantly up-regulated(P＜0.01),suggesting that silencing of TRIM32 to inhibit apoptosis may be achieved by modulating the PI3K/AKT signaling pathway.On the basis of this in-depth study,the PI3K/AKT inhibitor LY294002 was added to the experiment,and the results confirmed that LY294002 could partially block apoptosis by silencing TRIM32(P＜0.05),which further confirmed that TRIM32 silencing inhibited MA through activation of the PI3K/AKT signaling.In conclusion,silencing TRIM32 could inhibit the mitochondrial apoptotic pathway triggered by MA addic-tion,thus exerting a neuroprotective effect,and the mechanism may be related to the PI3K/AKT signa-ling pathway.

Objective:To explore the role of NK cells in allogeneic hematopoietic stem cell micro-transplantation(MST)in the treatment of patients with acute myeloid leukemia(AML).Methods:Data from 93 AML patients treated with MST at our center from 2013-2018 were retrospectively analyzed.The induction regimen was anthracycline and cytarabine combined with peripheral blood stem cells transplantation mobilization by granulocyte colony stimulating factor(GPBSC),followed by 2-4 courses of intensive treatment with medium to high doses of cytarabine combined with GPBSC after achieving complete remission(CR).The therapeutic effects of one and two courses of MST induction therapy on 42 patients who did not reach CR before transplantation were evaluated.Cox proportional hazards regression analysis was used to analyze the impact of donor NK cell dose and KIR genotype,including KIR ligand mismatch,2DS1,haplotype,and HLA-Cw ligands on survival prognosis of patients.Results:Forty-two patients received MST induction therapy,and the CR rate was 57.1％after 1 course and 73.7％after 2 courses.Multivariate analysis showed that,medium and high doses of NK cells was significantly associated with improved disease-free survival(DFS)of patients(HR=0.27,P=0.005;HR=0.21,P=0.001),and high doses of NK cells was significantly associated with improved overall survival(OS)of patients(HR=0.15,P=0.000).Donor 2DS1 positive significantly increases OS of patients(HR=0.25,P=0.011).For high-risk patients under 60 years old,patients of the donor-recipient KIR ligand mismatch group had longer DFS compared to the nonmismatch group(P=0.036);donor 2DS1 positive significantly prolonged OS of patients(P=0.009).Conclusion:NK cell dose,KIR ligand mismatch and 2DS1 influence the therapeutic effect of MST,improve the survival of AML patients.

Objective:To investigate the effect of flow cytometric minimal residual disease(MRD)detection at different time points during AML chemotherapy on prognosis.Methods:130 adult primary AML patients diagnosed and standardized with chemotherapy from March 2018 to March 2022 were retrospectively analyzed,MRD was detected by flow cytometry,Kaplan-Meier curves was used for survival analysis and log-rank test was used for variance analysis,and univariate and multifactor influencing patient survival with COX proportional risk regression model analysis.Cumulative incidence rate(CIR)analysis with competing risk model and variance analysis using Fine-Gray.Results:There were 81 CR1,26 CR2,14 PR,and 9 NR patients in 130 patients.OS of the CR1 group was higher than that in the CR2,PR,and NR groups.OS of the CR2 group was higher than that in the PR group,but there was no statistically difference compared to the NR group.There was no statistically difference in OS between the PR and NR groups.107 patients in CR1 and CR2 were grouped according to MRD detected by flow cytometry,and after the first induction chemotherapy,for patients in the MRD-and MRD+groups,the 4-year expected RFS rates were 65.3％and 27.9％respectively,the 4-year expected OS rates were 58.7％and41.4％respectively,and the 4-year expected CIR were 34.7％and 69.7％respectively,with statistically significant differences between 2 groups(x2=6.639,P=0.010;x2=6.131,P=0.013 and x2=6.637,P=0.010).After the second chemotherapy,for patients in the MRD-and MRD+groups,the 4-year expected RFS rates were 50.8％and 37.9％respectively,the 4-year expected OS rates were 49.2％and 44.5％respectively,and the 4-year expected CIR were 49.2％and 59.5％respectively,with no statistically significant differences between 2 groups(x2=1.475,P=0.225;x2=2.432,P=0.119 and x2=1.416,P=0.234).During consolidation therapy,for patients in the MRD-and MRD+groups,the 4-year expected RFS rates were 51.9％and 29.6％respectively,the 4-year expected OS rates were 67.5％and 24.6％respectively,and the 4-year expected CIR were 48.1％and 70.4％respectively,with statistically significant differences between 2 groups(x2=20.982,P＜0.001;x2=17.794,P＜0.001 and x2=19.879,P＜0.001).For patients with MRD-at all three time points and positive at either time point,the 4-year expected RFS rates were 69.9％and 33.3％respectively,the 4-year expected OS rates were 59.1％and 44.7％respectively,and the 4-year expected CIR were 30.1％and 65.1％respectively,with statistically significant differences between 2 groups(x2=7.367,P=0.007;x2=6.042,P=0.014 and x2=7.662,P=0.006).Univariate analysis showed that karyotype at high risk of chromosome was an unfavorable factor affecting patients'RFS and OS,while 2 cycles of induction chemotherapy achieved CR,MRD-after the first induction chemotherapy and MRD-after the second induction chemotherapy was a protective factor affecting patients'RFS and OS.MRD-during consolidation therapy and MRD-at all three time points were all protective factors affecting patients'RFS,OS and CIR.Multivariate analysis showed that induction chemotherapy for 2 cycles achieved CR was a protective factor affecting patients'RFS and CIR,and MRD-during consolidation therapy was a protective factor affecting patients'RFS,OS and CIR.Conclusion:Early achievement of CR and MRD-in adult AML patients,especially MRD-during consolidation therapy,is a marker of good prognosis,and flow cytometry is the most commonly used method for MRD detection in AML patients.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

AIM To explore the clinical effects of Shenqi Taohua Siwu Decoction plus Fusui Decoction combined with acupuncture on patients with post-ischemic stroke spastic paralysis due to Qi Deficiency and Blood Stasis.METHODS Ninety-two patients were randomly assigned into control group(46 cases)for 4-week intervention of both acupuncture and conventional treatment,and observation group(46 cases)for 4-week intervention of Shenqi Taohua Siwu Decoction,Fusui Decoction,acupuncture and conventional treatment.The changes in clinical effects,TCM syndrome scores,serological indices(Glu,GABA,Glu/GABA,Gly,HCY,ASP),nervous function indices(BDNF,NGF,NT-3),NIHSS score,FMA score,MAS score,Barthel score,surface electromyography signals(Hmax,Mmax,Hmax/Mmax)and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the two groups demonstrated increased GABA,Gly,nervous function indices,FMA score,Barthel score(P＜0.05),and decreased TCM syndrome scores,Glu,Glu/GABA,HCY,ASP,NIHSS score,MAS score,surface electromyography signals(P＜0.05),especially for the observation group(P＜0.05).No significant difference in incidence of adverse reactions was found between the two groups(P＞0.05).CONCLUSION For the patients with post-ischemic stroke spastic paralysis due to Qi Deficiency and Blood Stasis,Shenqi Taohua Siwu Decoction plus Fusui Decoction combined with acupuncture can safely and effectively improve nerve functions,motor functions,life quality,and reduce TCM syndrome scores,spasticity degree.

AIM To control the quality of Bupleurum chinense DC.METHODS The analysis was performed on a 35℃ thermostatic Venusil XBP C18 column(250 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-water flowing at 1.0 mL/min,and the detection wavelength was set at 210 nm.The HPLC fingerprints were established,after which the contents of saikosaponin A,saikosaponin B2,saikosaponin C,saikosaponin D,saikosaponin E,saikosaponin F and 6″-O-acetylsaikosaponin A were determined,and principal component analysis was made.RESULTS There were thirteen common peaks in the fingerprints for twelve batches of medicinal materials with the similarities of 0.970-0.995.Seven constituents showed good linear relationships within their own ranges(R2≥0.999 8),whose average recoveries were 90.75%-100.91% with the RSDs of 1.6%-4.0% .Various constituents demonstrated similar contents in medicinal materials originated in Inner Mongolia and Shanxi.CONCLUSION This precise,accurate and stable method can be used for the quality evaluation of B.chinense.