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.

Incretin-based drugs have demonstrated significant clinical value in weight management and the treatment of metabolic diseases by mimicking or enhancing endogenous incretin signaling. These agents primarily target multiple receptors including glucagon-like peptide-1， glucose-dependent insulinotropic polypeptide， and glucagon， exerting weight-reducing effects through multiple mechanisms such as central appetite regulation， gastrointestinal function modulation， and peripheral metabolic improvement， while further ameliorating blood glucose， blood lipids， fatty liver， and cardiorenal metabolic risks. This review focuses on incretin-based drugs， systematically summarizing the key clinical application points and relevant research progress of domestically marketed and investigational candidate drugs in the field of weight reduction. Available evidence indicates that semaglutide and tirzepatide demonstrate substantial weight reduction with multiple metabolic benefits； domestic innovative drugs represented by mazdutide and ecnoglutide also exhibit favorable weight-reducing effects and safety profiles. Regarding safety， these agents are generally well-tolerated， with the most common adverse reactions being mild-to-moderate gastrointestinal events， while potential risks including gallbladder events， pancreatitis， and mood changes require attention. In special populations， individualized assessment is warranted for use in children， elderly people， and pregnant women. Future research should focus on the screening of predictive biomarkers for efficacy， the development of long-acting oral formulations， and the accumulation of long-term safety follow-up data.

AIM: To evaluate the effects of the myopia prevention and control guidance station(MPCGS)on axial elongation in school-age children.METHODS:This was a prospective cohort study.Students enrolled in Grades 1 to 3 of primary schools in Qingyang District, Chengdu, in the first half of 2022 who completed continuous follow-up from 2022 to 2025 were included in this study. Among them, three schools that implemented the MPCGS in 2023 were assigned to the intervention group, and another three schools in the same district without MPCGS served as the control group. The intervention group received the school-hospital-family integrated model for myopia prevention and control,while the control group only received routine vision screening without such intervention measures.Students were categorized into three groups based on their grade in 2022: Group A(Grade 1), Group B(Grade 2), and Group C(Grade 3). Comparisons were stratified by grade, with independent samples t-tests used for intergroup analyses of annual axial elongation(ΔAL)between the intervention and control groups, and repeated-measures ANOVA(Bonferroni-corrected post-hoc test)used for intervention group comparisons across different time points.RESULTS:Totally 3 404 students were enrolled in this study, including 1 709 in the intervention group(897 males and 812 females, aged 7.64±0.88 y)and 1 695 in the control group(902 males and 793 females, aged 7.75±0.97 y). In the intervention group, there were 537 students in subgroup A(293 males and 244 females, aged 7.08±0.28 y), 721 in subgroup B(369 males and 352 females, aged 8.03±0.29 y), and 451 in subgroup C(235 males and 216 females, aged 9.07±0.30 y). In the control group, there were 559 students in subgroup A(295 males and 264 females, aged 7.05±0.28 y), 497 in subgroup B(269 males and 228 females, aged 8.04±0.30 y), and 639 in subgroup C(338 males and 301 females, aged 9.08±0.30 y). No significant differences were observed between the intervention and control groups within each grade(A, B, and C)at baseline age, sex, SE, AL, ΔSE(2022-2023), and ΔAL(2022-2023)(all P>0.05). During the first intervention year(2023-2024), intergroup comparisons revealed no significant differences in ΔAL between the intervention and control groups within Groups A, B, and C(all P>0.05). During the second intervention year(2024-2025), the intervention group showed significantly lower ΔAL than the control group within Groups A and B(PSymbol|@@0.001 and P=0.017, respectively), while no significant difference in ΔAL was detected in Group C(P=0.419). In the intervention group, there were significant differences in ΔAL at different time points among Groups A, B and C(all P<0.001). Compared with the first year before intervention, the ΔAL of each subgroup significantly decreased in the second year of intervention(all P<0.0167).CONCLUSION:The implementation of the school-hospital-family integrated MPCGS model was associated with slowed axial elongation. This association exhibited a time-dependent cumulative effect and was more pronounced in lower-grade children(grades 1-2).

Objective To summarize the pathogen distribution and antibiotic resistance characteristics of 69 cases of necrotizing fasciitis(NF),providing evidence to support early clinical antimicrobial therapy.Methods A retrospective analysis was conducted on microbial culture and antibiotic susceptibility test results from 69 NF cases treated in the Department of Trauma Repair and Burn Plastic Surgery,Liuzhou Workers'Hospital from January 2017 to December 2023.Results A total of 77 bacterial strains were cultured,including 24 Gram-positive bacteria,48 Gram-negative bacteria,and 5 fungi.Monomicrobial infection was predominant,accounting for 66.07％of the cases.Among the Gram-positive bacteria,Staphylococcus aureus was the most common,separated out 10 strains(12.99％),followed by Streptococcus pyogenes in 5 strains(6.49％).Among the Gram-negative bacteria,Klebsiella pneumoniae(13 strains,16.88％)and Escherichia coli(10 strains,12.99％)were most frequently identified.A total of 18 multidrug-resistant strains were found,representing 23.38％of all isolates.Gram-positive bacteria were most sensitive to vancomycin,linezolid,and tigecycline,while Gram-negative bacteria showed the greatest sensitivity to meropenem,cefoperazone,and ertapenem.Conclusion In the study area,Klebsiella pneumoniae is the most common pathogen causing NF.The initial antimicrobial regimen should include vancomycin combined with meropenem,which may significantly enhance the effectiveness of infection control.

Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for improving image quality of 80 kVp low-dose CT enterography(CTE)for Crohn disease(CD).Methods Totally 59 patients with CD who underwent 80 kVp low-dose CTE were retrospectively enrolled,and CTE images were reconstructed with hybrid iterative reconstruction(HIR)(HIR group)and AIIR(AIIR group),respectively.Then subjective and objective scores of image quality were evaluated and compared between groups,and the value of AIIR was analyzed.Results Compared with HIR group,AIIR group clearly displayed the intestinal wall,intestinal lumen,mesenteric vessels and peri-intestinal soft tissue,and displayed typical CD signs more obviously,with higher subjective scores of imaging quality(all P＜0.001).The standard deviation(SD)was lower,while signal-to-noise ratio(SNR)of intestinal walls without disease,SNR and contrast-to-noise ratio(CNR)of diseased intestinal walls in AIIR group were all higher than those in HIR group(all P＜0.001).The effective dose of 80 kVp CTE examination was(2.82±0.54)mSv.Conclusion AIIR was helpful for improving image quality of 80 kVp low-dose CTE for CD.

Objective To provide a comprehensive and multi-dimensional objective assessment of the online medi-cal service quality supplied by public hospitals in China,and providing feasible suggestions for further improving.Methods It adopted a standardized patient method and relied on the IOM model to conduct a descriptive analy-sis of the online medical service quality from the perspectives of safety and effectiveness,efficiency,patient-cen-tered care,and accessibility.Results The process quality(adherence to checklist)in public hospital was 17.65％,the diagnostic accuracy was 66.04％,and the treatment correctness was 88.68％.The average consultation fee was 50 yuan.The patients'disease experience was 4.00 points,the social situation was 0,and the agreement between the physician and the patient was 12.00 points.The average time waiting for first response was about 1.60 hours,the average time waiting for each response was about 5.14 hours,and the patient's total time was about 20.32 hours.The time for response was 3,and the total words of providers was 149.50.Conclusion Internet medical ser-vices quality in public hospital are still insufficient in three aspects:the process quality(adherence to checklist),pa-tient-centered care,and accessibility.Improving online medical service quality can be achieved by strengthening"in-process supervision"and improving physicians'comprehensive clinical ability.

Objective Taking a tertiary hospital in Beijing as an example,to investigate patients'continuous use inclination towards utilizing Internet diagnosis and treatment,dissect the influential factors and elucidate the pathway through which these factors exert their impact,and propose recommendations for optimizing internet diagnosis and treatment services in the hospital.Methods Based on the model of continuous use of information system and the model of success of information system,it constructed a structural equation model of the willingness to use Internet diagnosis and treatment service continuously and put forward the hypotheses,conducted a questionnaire survey.Descriptive analysis,reliability and validity tests,structural model analysis and hypothesis testing were conducted using Excel and SmartPLS 4.0 software to validate the research hypotheses.Results The information quality,service quality,and system quality of Internet diagnosis and treatment services have a positive effect on patients'willingness to continue to use them,with perceived usefulness and user satisfaction playing a major mediating role.Conclusion Internet hospitals should establish skill training and medical record review mechanisms,improve service processes and communication norms,optimize system design and user experience,enhance interactivity and personalized services,to promote the sustainable development of Internet diagnosis and treatment services in entity medical institutions.