Objective: To investigate the prognostic significance and biological functions of neutrophil extracellular traps (NETs) related genes in oral squamous cell carcinoma (OSCC). Methods: A total of 333 transcriptome datasets and 6 single-cell sequencing datasets of OSCC were retrieved from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Based on 69 NETs related gene sets, univariate Cox and Lasso-Cox regression were used to construct a prognostic risk model for OSCC. The model's efficacy was evaluated through Kaplan-Meier analysis and receiver operating characteristic (ROC) curves, and risk scoring and nomogram analysis were conducted. Further, the relationship between NETs risk scores and angiogenesis, epithelial-mesenchymal transition (EMT), and cell cycle was explored. Enrichment analysis was performed to annotate the functional characteristics of relevant pathways. Kaplan-Meier analysis was employed to screen for prognostic key genes. Candidate targets were validated through drug prediction and molecular docking assays. Single-cell RNA sequencing was utilized to characterize the expression profile of the key gene cathepsin G (CTSG) within the tumor microenvironment (TME). Using pan-cancer and OSCC related data retrieved from the TCGA database, we analyzed the differences in CTSG expression between tumor tissues and normal tissues. Subsequently, immunohistochemical staining experiments were performed on tissue microarrays to validate its expression at the protein level. Results: A prognostic risk model based on six NETs related genes (F3, AKT1, CTSG, VNN3, MPO, and IL17A) was successfully established. Patients in the high-risk group exhibited significantly shorter overall survival (OS) (P < 0.000 1). The area under the ROC curve (AUC) of the established model for predicting 1-, 3-, and 5-year overall survival (OS) rates was 0.718, 0.820, and 0.805, respectively. The NETs related risk score was identified as an independent prognostic factor (P < 0.001), with the constructed nomogram demonstrating good calibration. The NETs related risk score correlated with angiogenesis (r = ˗0.20,, P < 0.001), EMT (r = 0.17, P < 0.01), G1/S phase transition (r = 0.11, P < 0.05), and G2/M phase transition (r = 0.17, P < 0.01). GSEA（gene set enrichment analysis）revealed that the high-risk group was significantly enriched in pathways including basal cell carcinoma, whereas the low-risk group exhibited significant enrichment in pathways such as alpha-linolenic acid metabolism (P < 0.05). Kaplan-Meier analysis revealed that patients with low expression of CTSG had a poorer prognosis (P < 0.001). Molecular docking assays demonstrated a stable binding interaction between CTSG and glutathione (binding energy: -7.4 kcal/mol). Single-cell RNA sequencing analysis further showed that CTSG was highly expressed in mast cell subsets but weakly expressed in malignant cells (P < 0.001). TCGA pan-cancer analysis revealed that CTSG is underexpressed in multiple cancer tissues, including OSCC (P < 0.05). Immunohistochemical staining confirmed that CTSG protein expression was lower in tumor tissues than in paracancerous tissues (P < 0.01). Conclusion The NETs related prognostic model established in this study exhibits robust predictive performance. CTSG was identified as a key prognostic gene, thereby providing a novel biomarker and potential therapeutic target for prognostic evaluation and targeted therapy of OSCC.

Plant-derived exosome-like nanovesicles (PELNs), characterized by a natural lipid bilayer membrane, have rapidly emerged as a prominent research frontier in medicine owing to their unique biological properties and robust therapeutic potential. This review comprehensively examines the biological profiles, mechanistic functions, and recent engineering advancements of PELNs. In terms of composition, PELNs are uniquely enriched in plant-specific glycolipids, phosphatidylserine, secondary metabolites, and highly stable 2'-O-methylated miRNAs. This distinct molecular makeup endows them with exceptional biocompatibility, negligible immunogenicity, and the capacity for cross-species molecular communication. Mechanistically, PELNs demonstrate profound anti-inflammatory efficacy by suppressing the NF-κB and NLRP3 inflammasome pathways. They also serve as potent immune modulators, driving macrophage M1/M2 polarization and regulating T cell activity. Additionally, PELNs exhibit promising antitumor capabilities, targeting malignancies via reactive oxygen species (ROS) induction, TRAIL pathway activation, and tumor microenvironment remodeling. Crucially, the plant miRNAs encapsulated within PELNs remain highly stable in the gastrointestinal tract, allowing them to selectively alter gene expression in specific gut microbiota communities. This interaction deeply influences host immunity and metabolism, highlighting the vital role in cross-species regulation. Advancements in bioengineering have further expanded the clinical utility of PELNs. Targeted delivery efficiency can be significantly amplified via surface functionalization (e.g., folate and RGD sequences) and state-of-the-art drug loading technologies such as sonication and electroporation. Consequently, engineered PELNs surpass traditional synthetic nanocarriers in penetrating natural physiological barriers, particularly for oral and transdermal drug administration. Despite these advantages, clinical translation is currently hindered by the lack of standardized isolation protocols, challenges in scalable manufacturing, and the need for robust quality control frameworks. Looking forward, the integration of multi-omics approaches and AI-driven “molecular fingerprinting”—coupled with the design of synthetic biomimetic vesicles—will be instrumental in overcoming these bottlenecks, ultimately establishing PELNs as a next-generation platform for precision medicine and targeted nanotherapeutic delivery.

This study aimed to establish an analytical method capable of simultaneously quantifying the prototype components of Si-Ni-San and screening their metabolites to elucidate its tissue distribution and metabolic characteristics in an ulcerative colitis (UC) mouse model. To this end, an integrated analysis strategy based on UPLC-QqQ-MS was developed and validated, combining the targeted quantification of 12 prototype components with a pseudo-targeted metabolite screening technique based on ion pair list-triggered data-dependent acquisition. Samples were extracted with 80% methanol (100 mg/mL) and processed with internal standards. Separation was achieved on a Waters Acquity UPLC HSS PFP column using a gradient elution with a mobile phase consisting of acetonitrile and 5 mmol/L ammonium acetate containing 0.1% formic acid. Analysis was performed using an electrospray ionization (ESI) source in multiple reaction monitoring mode. Methodological validation confirmed that all parameters met the requirements for bio-sample analysis. Application of this method revealed that the content of Si-Ni-San prototype components in the colon, liver, and kidneys of UC mice was significantly higher than that in healthy mice. Furthermore, the number of phase II metabolites was markedly greater than that of phase I metabolites in all tested samples. The results demonstrate the reliability of the established method and preliminarily reveal the tissue distribution characteristics of Si-Ni-San under UC conditions and its metabolism pattern dominated by phase II conjugation, which provides a methodological basis and experimental data for further in-depth research into its effective target tissues and pharmacodynamic material basis.

Objective:To construct a smart elderly education system that in line with the current situation under the Healthy China strategy and explore the constraints on its institutional implementation,in order to provide a basis for scientifically evaluating the implementation effect of this system.Methods:A questionnaire survey was conducted on 34 experts in related fields.The analytic hierarchy process(AHP)was used to perform quantitative and qualitative analyses on the construction of the smart elderly education system,and the weights of the importance of each scheme were obtained.Results:The constructed model of the smart elderly education system included 5 first-level indicators and 15 second-level indicators.Calculations of the judgment matrix for the 5 first-level indicators showed that the maximum eigenvalue(λmax)=5.071 4,the random consistency index(RI)=1.12,the consistency index(CI)=0.017 8,and the consistency ratio(CR)=0.015 9.With CR＜0.1,the result met the consistency requirement.For the second-level indicators under each first-level indicator,pairwise comparison judgment matrices were constructed.The CR values of all 5 judgment matrices were＜0.1.In summary,all judgment matrices passed the consistency test and were applicable.Among the first-level indicators,the top three by weights were guarantee mechanisms,demand orientation,and implementation effectiveness.Among the second-level indicators,the top three by combined weights were funding support capacity,health literacy improvement rate,and health demand identification mechanism.Conclusions:The indicator evaluation system for the smart elderly education system constructed based on AHP includes core dimensions such as guarantee mechanisms and demand orientation,responding to the key issues of institutional implementation.The selected indicators are both objective and practical,and can serve as reference tools for actual evaluation.

Objectives:To explore the predictive value of residual Murray's law-based quantitative flow ratio(μQFR)on long-term vessel-oriented composite endpoints(VoCE).Methods:This retrospective study included 3 510 patients from the FAVOR Ⅲ China trial.Offline residual μQFR analysis was performed on all vessels(diameter≥2.5 mm)with 50%-90%stenotic lesions.Patients were stratified into high-,intermediate-,and low-risk groups based on residual μQFR tertiles.The primary endpoint was 3-year VoCE,defined as a composite of cardiac death related to the target vessel,target vessel-related spontaneous myocardial infarction,and ischemia-driven target vessel revascularization.Results:Offline analysis was performed on 5 256 vessels from 3 510 patients.The mean residual μQFR was 0.92±0.75.The high-risk group(residual μQFR≤0.91)with 1 554 patients(1 958 vessels);the intermediate-risk group(residual μQFR 0.92-0.96)with 1 211 patients(1 906 vessels);and the low-risk group(residual μQFR>0.96)with 745 patients(1 392 vessels).Over 3-year follow-up,VoCE occurred in 227 vessels(4.3%).The 3-year VoCE incidence was significantly higher in the high-risk group compared to the intermediate-and low-risk groups(6.2%vs.4.1%vs.2.5%,log-rank P<0.001),primarily driven by ischemia-driven target vessel revascularization(5.0%vs.3.0%vs.1.6%,log-rank P<0.001).Hypertension(OR=0.83,95%CI:0.72-0.96),hypercholesterolemia(OR=0.84,95%CI:0.73-0.97),bifurcation lesions(OR=0.72,95%CI:0.63-0.83),moderate/severe calcification(OR=0.70,95%CI:0.57-0.84),and tandem lesions(OR=0.59,95%CI:0.47-0.75)were independent predictors of lower residual μQFR values.Conclusions:Lower residual μQFR is significantly associated with increased VoCE risk during the 3-year follow up period.

Objective To detect the content of rheumatoid factor(RF)after RF-CIC dissociation using serum circulating immune complexes(CIC)dissociation technology and evaluate its diagnostic and clinical value in rheumatic arthritis(RA).Methods 55 RA patients diagnosed and treated in the 903rd Hospital of the People's Liberation Army from January 2024 to December 2024 were selected as the RA disease group,and 20 healthy individuals were selected as the control group.In addition,57 non RA pa-tients with symptoms resembling RA[patients with systemic lupus erythematosus(SLE),gout,ankylosing spondylitis(AS),osteo-arthritis,etc)]as the non RA disease group.Using CIC dissociation technology,RF content after RF-CIC dissociation was detect-ed in the serum of all three groups of study subjects,and C-reactive protein(CRP)and RF levels in all subjects were detected using a biochemical analyzer.Analyzed and compared the differences in the positive rate and levels of RF-CIC among three groups object of study.In addition,analyze and compare the correlation between RF-CIC and inflammatory index CRP.Results The positive rates of RF-CIC in the serum of RA disease group,non RA disease group,and control group were 87.27%(48/55),10.53%(6/57)and 0.0%(0/20),respectively,and the differences between the three groups was statistically significant(χ2=84.520,P<0.05).Further subgroup analysis showed that the RF-CIC positivity rate in the RF negative subgroup of RA disease patients[61.11%(11/18)]higher than that in the non RA disease group[1.92%(1/52)]and the control group[0%(0/20)],and the differ-ences were statistically significant(χ2=44.493,21.671,all P<0.05).The RF-CIC positivity rate was higher in RF positive pa-tients than in RF negative patients in the RA disease group(100%vs 61.11%),and the difference was statistically significant(χ2=16.487,P<0.05).The RF-CIC content in the serum of RF positive patients in the RA disease group was higher than that of RF negative patients[16.35(10.53,26.49)vs 3.57(2.53,3.89)],and the difference was statistically significant(Z=-4.243,P<0.05).Correlation analysis showed that the levels of CRP and RF in the serum of RA patients were positively correlated with the levels of RF-CIC(r=0.490,0.970,all P<0.05).Conclusion RF-CIC demonstrates high positivity even in RF-negative RA patients,and their levels correlate with CRP.RF-CIC shows potential as a serological indicator for early diagnosis and disease activity assess-ment in RA.

AIM:To explore the mechanism of Salvia miltiorrhiza(Danshen)-derived exosome-like nanoparti-cles(DDN)in attenuating oxidative damage in endothelial cells through the activation of the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(PKB/Akt)/endothelial nitric oxide synthase(eNOS)signaling pathway.METHODS:The DDN were characterized by transmission electron microscopy and dynamic light scattering.Fluorescence microscopy and flow cytometry were used to evaluate the uptake of DDN by human umbilical vein endothelial cells(HUVECs).The viability,migration and invasion of HUVECs were assessed using CCK8 assay,wound-healing assay and Transwell assay,respec-tively.The HUVECs were induced by angiotensin II(Ang II)for oxidative stress and intervened with DDN or LY294002(a PI3K inhibitor).The levels of reactive oxygen species were determined by flow cytometry,and intracellular nitric oxide(NO)content was measured using a biochemical assay kit.Additionally,the protein levels of NADPH oxidase 4(NOX4),NOX2,endothelial nitric oxide syntnase(eNOS),p-eNOS,Akt and p-Akt were examined by Western blot.RESULTS:(1)Transmission electron microscopy and dynamic light scattering analysis revealed that DDN had good bio-compatibility and stability.(2)According to fluorescence images and flow cytometry results,DDN were strongly taken up by HUVECs.(3)Compared with control group,DDN significantly promoted the viability,migration and invasion of HUVECs,showing a dose-dependent effect.(4)Compared with control group,DDN remarkably increased intracellular NO levels,thereby enhancing endothelial cell vasodilation via activating the PI3K/Akt/eNOS signaling pathway.(5)The PI3K/Akt/eNOS pathway played a critical role in mitigating oxidative stress and improving cellular function in response to DDN treat-ment.CONCLUSION:The DDN mediate PI3K/Akt/eNOS signaling pathway activation to significantly alleviate Ang II-induced oxidative damage in endothelial cells,suggesting a potential vascular protective effect of DDN.

Objective To identify high-risk factors for healthcare-associated infection(HAI)in patients in inten-sive care units(ICUs),and develop a quick response(QR)code-based APP prediction tool.Methods Information of inpatients in general ICUs of three hospitals in Guizhou Province from January to December 2024 were collected.Risk factors were analyzed with a logistic regression model.QR code-based APP was constructed and validated.Results A total of 1 782 patients in general ICUs of three hospitals in Guizhou Province in 2024 were included in the analysis,out of which 410 were HAI cases,and the incidence of HAI was 23.01％.Multivariate logistic regre-ssion analysis results of HAI in ICU inpatients showed that regional gross domestic product(GDP)≥58 685 Yuan,performing pathogen culture during this hospitalization,history of diabetes mellitus,history of cancer,length of hospital stay ≥7 days before infection,and duration of persistent fever＞5 days before infection were independent risk factors for HAI in ICU patients(all P＜0.05).The discrimination of the model(area under the receiver operating characteristic curve[AUC]of 0.841),calibration(Brier score of 0.129),and clinical effectiveness(net benefit of 11.4％when the risk threshold was 5％-74％)all performed well.Conclusion The QR code-based APP prediction tool is of great significance for scientific research transformation and precise HAI control.

Objective:To systematically evaluate the current status and methodological quality of guideline and consensus in ovarian stimulation for in vitro fertilization (IVF), and to provide reference for the development of future guidelines and research. Methods:A systematic search was conducted in databases including PubMed, Embase, CNKI, Wanfang, Sinomed and relevant guideline websites from inceptions to October 2024. Data were extracted from the literature that met the inclusion criteria, and methodological quality was assessed using the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) tool. Descriptive analysis was performed with results presented in visual data charts.Results:A total of 23 studies were included, with 8 guidelines and 15 consensus. Totally 21 (91.3%) studies focused on the selection of ovarian stimulation protocols, with the majority concentrating on protocols for patients undergoing IVF treatment for the first cycle, and 12 (52.2%) studies focused on the selection of gonadotropin starting dosage. In terms of methodology, the average standardized scores in the 6 assessment domains of the AGREE Ⅱ tool were as follows: scope and purpose (85.1%), stakeholder involvement (66.6%), rigour of development (36.5%), clarity of presentation (70.1%), applicability (36.4%), and editorial independence (46.2%).Conclusion:Current recommendations in ovarian stimulation for IVF exhibit inconsistencies, and the methodological quality varies, which partially hinders the translation of evidence into clinical practice. Future research should further focus on the selection of ovarian stimulation protocols and gonadotropin starting dosage, promoting the update and refinement of guidelines and consensus to guide the precise treatment of ovarian stimulation.