OBJECTIVE To investigate the clinical characteristics and risk factors for batroxobin-related severe hypofibrinogenemia （HFIB） and construct a risk prediction model. METHODS A retrospective analysis was conducted on inpatients treated with batroxobin in the First Medical Center of a tertiary hospital from January 1， 2020， to December 31， 2024. Patients were categorized into non-severe HFIB group and severe HFIB group based on the severity of HFIB. Univariate and multivariate Logistic regression analyses were performed to identify the independent influencing factors for batroxobin-related severe HFIB. A nomogram was developed using the “rms” package in R 4.5 software. The predictive performance of the model was evaluated using the receiver operating characteristic curve. Calibration was assessed via the Bootstrap resampling method， and goodness-of-fit was evaluated with the Hosmer-Lemeshow test. RESULTS A total of 1 472 patients were included in this study. Of these， 1 445 developed HFIB， yi elding an incidence of 98.17%. Furthermore， 895 were classified as severe HFIB， accounting for 60.80% of the cohort. Multivariate Logistic regression analysis showed that increased age， high initial dose per 10 kg body weight， use of maintenance dose， and concomitant glucocorticoid use were independent risk factors for batroxobin-related severe HFIB， while high baseline fibrinogen （FIB） level was identified as a protective factor. The model demonstrated an area under the curve of 0.760 （95% CI： 0.735-0.785）. The mean absolute error of the calibration curve was 0.006. The P value of the Hosmer-Lemeshow test was 0.609. CONCLUSIONS Batroxobin can rapidly and significantly reduce FIB levels and carries a risk of inducing severe HFIB. Patients with advanced age， high initial dose per 10 kg body weight， use of maintenance dose and concomitant glucocorticoid use had a higher risk of batroxobin-related severe HFIB， while high baseline FIB level had a lower risk of batroxobin-related severe HFIB. The risk prediction model developed based on these factors can be used to predict the likelihood of batroxobin-related severe HFIB.

Objective: To understand the current status of generative artificial intelligence (GenAI) dependence among college students, explore its relationship with basic psychological needs satisfaction, artificial intelligence (AI) literacy, and academic burnout, so as to provide an empirical basis for universities to formulate scientific AI education governance strategies. Methods: A stratified cluster sampling method was used to select 1 086 undergraduates from 5 universities in Shenyang from March to May 2025. Surveys were conducted using the GenAI Dependence Scale, Basic Psychological Needs Satisfaction Scale, Academic Burnout Scale, and AI Literacy Scale. Pearson correlation analysis was utilized to examine the correlations among variables, and the PROCESS Model was employed to test the mediating effects. Results: The scores for college students GenAI dependence and academic burnout were (2.94±0.86) and (3.15±0.84), respectively. Pearson correlation analysis indicated that GenAI dependence was positively correlated with academic burnout ( r =0.40) and negatively correlated with both basic psychological need satisfaction and AI literacy ( r =-0.39,-0.22)(all P <0.01). Mediation analysis revealed that basic psychological need satisfaction partially mediated the relationship between GenAI dependence and academic burnout, with an effect size of 0.109 (95% CI =0.075-0.148). AI literacy moderated this mediation pathway, yielding a moderated mediation index of -0.051 (95% CI =-0.089 to -0.021). Under low AI literacy levels, the indirect effect of GenAI dependence on academic burnout through basic psychological needs satisfaction was stronger (effect size=0.159, 95% CI =0.108-0.201), whereas high AI literacy effectively buffered this indirect negative impact (effect size=0.058, 95% CI =0.012-0.095). Conclusion GenAI dependence not only directly predicts academic burnout but also exerts an indirect effect by thwarting psychological needs satisfaction, with AI literacy playing a moderating role.

Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90％of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

The development of tailor-made tumor vaccines targeting specific tumor antigens is crucial for improving treatment accuracy.Tumor mRNA,as an emerging and promising vaccine modality,holds dis-tinct technical edge in addressing this challenge,thus attracting considerable attention in cancer treat-ment.This article reviews the design and synthesis processes of tumor mRNA vaccines,highlighting the latest advances in antigen identification,optimization of RNA sequence and structure,and its delivery.Additionally,it discusses the challenges these vaccines face and outlines potential future directions for development.

Aim To explore the potential mechanisms underlying therapeutic effects of cordycepin in asthma by utilizing network pharmacology,molecular docking,and in vitro cellular validation.Methods The thera-peutic targets associated with asthma and the drug tar-gets of cordycepin were systematically identified through comprehensive database searches.An overlap analysis of the two gene sets was performed,followed by the construction of a protein-protein interaction(PPI)network and topological analysis to identify the core targets.The core targets were subjected to Kyoto Ency-clopedia of Genes and Genomes(KEGG)pathway a-nalysis and Gene Ontology(GO)enrichment analysis,and a drug-target-pathway network was constructed.To validate the interaction between cordycepin and core targets,molecular docking and molecular dynamics sim-ulations were conducted.Subsequently,the pharmaco-logical effects and underlying mechanisms of cordyce-pin were validated in vitro using Beas-2B cells,emplo-ying Cell Counting Kit-8(CCK-8)assay and quantita-tive real-time reverse transcription PCR(RT-qPCR).Results A total of 438 potential targets of cordycepin were identified,113 of which overlapped with asthma-related therapeutic targets.Topological analysis based on the PPI network revealed 22 core targets.Using KEGG enrichment analysis,165 significantly enriched pathways were identified,including the TNF and HIF-1 signaling pathways.Molecular docking analysis re-vealed high binding affinities between cordycepin and select core targets,which further corroborated by mo-lecular dynamics simulations.In vitro experiments showed that after cordycepin pretreatment,the upregu-lation of MAPK1,HIF1A,MTOR,MYC,IL10,and JUN mRNA was significantly rescued in HDM-stimulated Beas-2B cells.Conclusions Cordycepin exerts anti-asthmatic effects by targeting MAPK1 and other key molecules,thereby providing a scientific foundation for its further development and clinical application.

The development of tailor-made tumor vaccines targeting specific tumor antigens is crucial for improving treatment accuracy.Tumor mRNA,as an emerging and promising vaccine modality,holds dis-tinct technical edge in addressing this challenge,thus attracting considerable attention in cancer treat-ment.This article reviews the design and synthesis processes of tumor mRNA vaccines,highlighting the latest advances in antigen identification,optimization of RNA sequence and structure,and its delivery.Additionally,it discusses the challenges these vaccines face and outlines potential future directions for development.

Aim To explore the potential mechanisms underlying therapeutic effects of cordycepin in asthma by utilizing network pharmacology,molecular docking,and in vitro cellular validation.Methods The thera-peutic targets associated with asthma and the drug tar-gets of cordycepin were systematically identified through comprehensive database searches.An overlap analysis of the two gene sets was performed,followed by the construction of a protein-protein interaction(PPI)network and topological analysis to identify the core targets.The core targets were subjected to Kyoto Ency-clopedia of Genes and Genomes(KEGG)pathway a-nalysis and Gene Ontology(GO)enrichment analysis,and a drug-target-pathway network was constructed.To validate the interaction between cordycepin and core targets,molecular docking and molecular dynamics sim-ulations were conducted.Subsequently,the pharmaco-logical effects and underlying mechanisms of cordyce-pin were validated in vitro using Beas-2B cells,emplo-ying Cell Counting Kit-8(CCK-8)assay and quantita-tive real-time reverse transcription PCR(RT-qPCR).Results A total of 438 potential targets of cordycepin were identified,113 of which overlapped with asthma-related therapeutic targets.Topological analysis based on the PPI network revealed 22 core targets.Using KEGG enrichment analysis,165 significantly enriched pathways were identified,including the TNF and HIF-1 signaling pathways.Molecular docking analysis re-vealed high binding affinities between cordycepin and select core targets,which further corroborated by mo-lecular dynamics simulations.In vitro experiments showed that after cordycepin pretreatment,the upregu-lation of MAPK1,HIF1A,MTOR,MYC,IL10,and JUN mRNA was significantly rescued in HDM-stimulated Beas-2B cells.Conclusions Cordycepin exerts anti-asthmatic effects by targeting MAPK1 and other key molecules,thereby providing a scientific foundation for its further development and clinical application.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective To explore the value of proton density fat fraction(PDFF)and R2* based on iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification(IDEAL-IQ)sequence in the assessment of vertebral fat and trabecular structure in postmenopausal women with osteoporosis.Methods A total of 85 postmenopausal women who underwent abdominal CT scans were selected and divided into three groups using quantitative computed tomography(QCT):osteoporosis group(30 cases),osteopenia group(29 cases),and normal bone mass group(26 cases).MRI examinations were performed within 2 weeks,the sequences including lumbar sagittal IDEAL-IQ and T2* mapping.The images were uploaded to the post-processing workstation,and the mean PDFF,IDEAL-R2* and gradient echo(GRE)-R2* were calculated for the L1-L5 vertebral body.One-way ANOVA was used to analyze the differences between the parameters among the three groups,and Spearman was used to compare the correlations between PDFF and bone mineral density(BMD),R2* value,as well as BMD and R2* value.The Bland-Altman plot was drawn to evaluate the consistency of IDEAL-R2* and GRE-R2*,and the receiver operating characteristic(ROC)curve was used to further evaluate the diagnostic performance of PDFF and R2* values for osteoporosis and osteopenia.Results There were significant differences in PDFF and BMD values among normal bone mass group,osteopenia group and osteoporosis group(P＜0.05),and R2* values were reduced in the osteoporosis group compared to the normal bone mass group(P＜0.05).Correlation analysis showed that PDFF was negatively correlated with BMD(r=-0.558,P＜0.05),negatively correlated with R2*[r=-0.250(IDEAL),-0.354(GRE),both P＜0.05],and positively correlated with BMD and R2*[r=0.351(IDEAL),0.457(GRE),both P＜0.05].The Bland-Altman plots showed that the mean value of the difference between IDEAL-R2* and GRE-R2* was-4.5 Hz,and the results were highly consistent.ROC curves showed no significant difference in the diagnostic efficacy of IDEAL-R2* and GRE-R2* in the assessment of osteoporosis and osteopenia(Z=0.526,1.327,P=0.599,0.185),but the diagnostic efficacy of both was lower than PDFF[area under the curve(AUC)=0.846(osteoporosis),0.684(oseopenia)].Conclusion IDEAL-IQ sequence-derived PDFF and R2* values are effective biological indicators for one-stop assessment of vertebral fat and microscopic trabecular structure in osteoporosis,which have certain clinical value.