Ankylosing spondylitis(AS)is a chronic autoimmune disease characterized by inflammatory involvement of the axial skeleton and pathological bone formation.The T helper 17 cell(Th17 cell)subset of lym-phocytes plays a central role in mediating the inflammatory processes associated with AS.This review summarizes recent advances in the regulation of Th17 cell differentiation in AS,with a focus on the complex mechanisms governed by cytokine microenvironments,transcription factor networks,and metabolic and epigenetic regulatory pathways.Key regulatory components discussed include the IL-23/STAT3 signaling axis,the CCL20/CCR6 chemo-tactic axis,and the master transcription factor RORγt.Additionally,this review critically evaluates emerging thera-peutic strategies targeting metabolic reprogramming(e.g.,PKM2),epigenetic regulators(e.g.,JMJD3,EZH2),engineered exosome delivery systems,and modulators of metabolic enzymes.By analyzing the limitations of current treatment approaches,the review proposes future research directions emphasizing multi-target therapeutic strategies and highlights the importance of personalized medicine in achieving precise and effective treatment for AS.These developments reveal promising new avenues for modulating Th17-mediated immunity,offering transformative poten-tial for the clinical management of AS.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.

AIM:To evaluate the pharmacokinet-ics(PK)and pharmacodynamics(PD)of two recom-binant human insulin injection by euglycemic clamp technology in healthy male subjects after a single subcutaneous injection.METHODS:We con-ducted a randomized,open-label,single dose,two period,crossover study.A total of 24 healthy male subjects were enrolled and randomized to receive single subcutaneous doses(0.2 U/kg)of the investi-gational products every period.The PK and PD characteristics were assessed by euglycemic clamp up to 14 hours after dosing.RESULTS:Euglycemic clamp technique was successfully established.C-peptide levels detected at each time point before and after administration indicated that endoge-nous insulin secretion was inhibited in the two groups after administration.The geometric mean ratio of Cmax and AUC0-tand 90％confidence interval(CI)of test preparation and reference preparation under fasting condition were in the range of 80.00％-125.00％.CONCLUSION:The human insulin produced by KP Biotech demonstrated similarity to the reference preparation Humulin? in PK and PD characteristics in healthy Chinese subjects.

Objective To observe changes of white matter function in adolescent smoker(AS)with resting-state functional MRI(rs-fMRI)fractional amplitude of low-frequency fluctuation(fALFF)technique.Methods Forty-five adolescents(AS group)and 45 control subjects(control group)were prospectively enrolled,and brain rs-fMRI were acquired.Brain regions with fALFF being different between groups were observed,and the correlations with clinical indicators were analyzed.Results Compared with that in control group,fALFF of the right superior longitudinal fasciculus significantly elevated in AS group(FDR correct Q＜0.05),in which the peak of the cluster was positively correlated with score of Fagerstr?m test for nicotine dependence(FTND)(r=0.294,P=0.049).Conclusion White matter function changed in AS,presenting as significantly increased fALFF in right superior longitudinal fasciculus,which was positively correlated with nicotine dependence.

Objective A safe and effective medication model was put forward through the treatment of a patient with Trousseau syndrome complicated with ovarian cancer by clinical pharmacist.Methods Clinical pharmacists participated in the treatment team to make individual treatment plan for Trousseau syndrome patients with ovarian cancer through consultation,clinical ward rounds,evidence-based medicine and discussion.Results The clinical pharmacist participated in the entire pharmaceutical care for the patients.They assisted the doctor to make individual anticoagulation and chemotherapy plan.The anticoagulation treatment was safe and effective,with no thromboembolism and hemorrhage.The chemotherapy process was smooth,with no adverse reaction occurred,and the patients condition improved,leading to discharged.Conclusion Clinical pharmacists participated in clinical evaluation of the feasibility of tumor chemotherapy plan,balanced the risk of patients with thrombosis and bleeding,formulated individualized anticoagulation treatment plan,and carried out pharmaceutical education and adverse reaction monitoring,which improved the efficacy and safety of medication in patients with ovarian cancer combined with multiple organ thromboembolism.

Objective A safe and effective medication model was put forward through the treatment of a patient with Trousseau syndrome complicated with ovarian cancer by clinical pharmacist.Methods Clinical pharmacists participated in the treatment team to make individual treatment plan for Trousseau syndrome patients with ovarian cancer through consultation,clinical ward rounds,evidence-based medicine and discussion.Results The clinical pharmacist participated in the entire pharmaceutical care for the patients.They assisted the doctor to make individual anticoagulation and chemotherapy plan.The anticoagulation treatment was safe and effective,with no thromboembolism and hemorrhage.The chemotherapy process was smooth,with no adverse reaction occurred,and the patients condition improved,leading to discharged.Conclusion Clinical pharmacists participated in clinical evaluation of the feasibility of tumor chemotherapy plan,balanced the risk of patients with thrombosis and bleeding,formulated individualized anticoagulation treatment plan,and carried out pharmaceutical education and adverse reaction monitoring,which improved the efficacy and safety of medication in patients with ovarian cancer combined with multiple organ thromboembolism.

Objective:To explore the incidence of delirium in patients of advanced age hospitalized in internal medicine departments and analyze its influencing factors.Methods:A retrospective analysis was conducted on the medical records of 586 patients of advanced age hospitalized in internal medicine departments at the Beijing University of Chinese Medicine Third Affiliated Hospital from May 2023 to May 2024. Patients were divided into a delirium group and a non-delirium group based on whether delirium occurred. Univariate analysis and binary Logistic regression analysis were used to explore the factors influencing delirium in patients of advanced age hospitalized in internal medicine departments.Results:Among 586 patients of advanced age hospitalized in internal medicine departments, the incidence of delirium was 21.2% (124/586). Binary Logistic regression analysis showed that age, activities of daily living (Barthel Index), folate deficiency, sleep disorders, and indwelling catheters were factors influencing delirium in patients of advanced age hospitalized in internal medicine departments ( P<0.05) . Conclusions:The incidence of delirium is high among patients of advanced age hospitalized in internal medicine departments. Healthcare professionals should pay particular attention to elderly patients with advanced age, limited activities of daily living, folate deficiency, sleep disorders, and indwelling catheters, and should implement targeted preventive strategies as early as possible.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.