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.

In recent years, significant progress has been made in the treatment of chronic constipation, with high-quality studies emerging in areas such as fecal microbiota transplantation (FMT), sacral neuromodulation (SNM), acupuncture, and surgical techniques. The therapeutic approach is shifting from a traditional "medication and surgery" model toward an integrated strategy that includes dietary and defecation habit adjustment, FMT, SNM, acupuncture, pharmacotherapy, and surgery. Although FMT can partially improve stool frequency and consistency, its standardization and long-term efficacy require further validation. SNM demonstrates limited effectiveness in treating chronic constipation and is relatively cost-inefficient. Electroacupuncture remains controversial, though some studies support its value. Biofeedback therapy is recommended by multiple guidelines as the first-line treatment for dyssynergic defecation (DD), with portable home-based biofeedback systems showing considerable potential. For internal rectal prolapse (IRP) and rectocele (RC), various surgical options exist without a clear superiority, though laparoscopic ventral rectopexy (VMR) is increasingly favored due to its low recurrence rate and high patient satisfaction. In the surgical management of slow transit constipation (STC), total colectomy with ileorectal anastomosis remains the mainstream approach, while subtotal colectomy is gaining attention as an alternative.

Infectious keratitis (IK) is a leading cause of blindness worldwide, primarily resulting from improper contact lens use, trauma, and a compromised immune response. The pathogenic microorganisms responsible for IK include bacteria, fungi, viruses, and Acanthamoeba. This review examines standard therapeutic agents for treating IK, including broad-spectrum empiric antibiotics for bacterial keratitis (BK), antifungals such as voriconazole and natamycin for fungal infections, and antiviral nucleoside analogues for viral keratitis (VK). Additionally, this review discusses therapeutic agents, such as polyhexamethylene biguanide (PHMB), for the treatment of Acanthamoeba keratitis (AK). The review also addresses emerging drugs and the challenges associated with their clinical application, including anti-biofilm agents that combat drug resistance and nuclear factor kappa-B (NF-κB) pathway-targeted therapies to mitigate inflammation. Furthermore, methods of Photodynamic Antimicrobial Therapy (PDAT) are explored. This review underscores the importance of integrating novel and traditional therapies to tackle drug resistance and enhance drug delivery, with the goal of advancing treatment strategies for IK.

Objective To investigate the causal relationship between gut microbiota and viral pneumonia,as well as the underlying mechanisms,using two-sample and two-step Mendelian randomization(MR)approaches,thereby providing novel insights for the prevention and treatment of viral pneumonia.Methods All data were obtained from publicly available genome-wide association studies(GWAS)pooled datasets,including gut microbiota data from the MiBioGen Consortium and the Netherlands Microbiome Project,viral pneumonia data from the FinnGen R10 database,and plasma metabolome data from the publicly available GWAS Catalog.Instrumental variables(IVs)were extracted according to the predefined threshold values.MR analyses were conducted using inverse variance weighting(IVW),MR-Egger,weighted median(WME),weighted mode(WM),and Bayesian-weighted Mendelian randomization(BWMR)methods.Reverse MR analysis was performed to determine whether there was a reverse association.Two-step MR analysis was used to explore the potential mediating role of plasma metabolites,and a series of sensitivity analyses were performed to test the stability of the results.Results Among 196 gut microbiota taxa from the MiBioGen consortium GWAS,11 taxa were associated with viral pneumonia.An increase in the abundance of 4 taxa increased the risk of viral pneumonia,while an increase in the abundance of 7 taxa had a protective effect against viral pneumonia.Among the 207 gut microbiota taxa from the Dutch Microbiome Project GWAS data,10 taxa were associated with viral pneumonia,with 6 risk-increasing and 4 protective taxa identified.Mediation analysis results showed that the causal effect of Defluviitaleaceae on viral pneumonia(OR=0.708,95%CI 0.540-0.929,P=0.013)was mediated to some extent by the N6-acetyllysine levels,with a mediation ratio of 18.4%.Sensitivity analyses did not reveal significant heterogeneity or horizontal pleiotropy.Conclusions Specific gut microbiota are causally associated with viral pneumonia and show potential differences across different populations;the protective effect of Defluviitaleaceae against viral pneumonia may be mediated by the N6-acetyllysine levels.Targeting metabolites may become a potential therapeutic approach for viral pneumonia.

After the wooden shipwreck was recovered from the marine underwater environment,the wooden components undergo varying degrees of degradation,therefore,accurately determining the extent of degradation is a fundamental scientific issue for implementing effective preservation strategies.In this work,the wooden remains of Pinus massoniana excavated from the"Nanhai No.1"shipwreck(Southern Song Dynasty)were investigated and compared with the modern wood to discriminate the degradation levels of archaeological wood using attenuated total reflection Fourier transform infrared(ATR-FTIR)spectroscopy.The residual sugar content within wood cell walls was determined using a non-invasive automated microscale ATR-FTIR method to extract chemical information from the wood tangential section.Microstructural characterization of wood samples was conducted by super depth of field microscopy and scanning electron microscopy.FTIR spectral analysis was performed to evaluate the degradation state and elucidate changes in cellulose crystallinity.Finally,the combination of FTIR spectroscopy with the sparse partial least squares discriminant analysis(sPLS-DA)model facilitated the rapid discrimination of degradation levels in shipwreck archaeological wood,and the performance of the model was evaluated using receiver operating characteristic(ROC)curves and area under the curve(AUC).The results showed that the higher the degree of wood degradation,the lower the residual sugar content in the wood cell wall,and the residual glucose content of highly degraded wood was only 4.7％.Significant differences were observed in both the tangential section microstructure and FTIR characteristic absorption patterns across degradation levels,and as the degradation advanced,progressive cell wall loosening occurred alongside selective removal of polysaccharide components,and the relative lignin content was increased,resulting in an elevated A1509/A1370 ratio in FTIR spectra.The sPLS-DA model achieved excellent discrimination performance with AUC values exceeding 0.9,confirming that the combination of FTIR spectroscopy with sPLS-DA enabled accurate assessment of degradation levels in shipwreck archaeological wood.This study developed a rapid and accurate methodology for assessing degradation levels in shipwreck archaeological wood based on microscale ATR-FTIR spectroscopy,which would help to promote the accurate assessment of the preservation state of waterlogged wooden artifacts.

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.

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.

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.

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.