Objective: To investigate the current status and related factors of human papillomavirus (HPV) vaccination intention among male college students in Shanghai, so as to provide references for promoting HPV vaccination among males. Methods: From January to February 2025, a stratified random cluster sampling method was used to select 548 male college students in 10 universities from Shanghai for a self questionnaire survey. The survey included socio demographic characteristics, vaccine hesitancy, vaccine beliefs (complacency, confidence, convenience), HPV knowledge level, health status, social support, and information acquisition channels. Latent class analysis (LCA) was used to identify latent classes of vaccine beliefs, and multinomial Logistic regression was used to analyze the related factors of vaccination intentions. Results: The acceptance, hesitancy, and refusal rates of HPV vaccine among college students in Shanghai were 39.4% ( n =216), 35.2% ( n =193), and 25.4% ( n =139), respectively. LCA identified four vaccine belief groups: low complacency high confidence (21.4%), high complacency high confidence (36.1%), low complacency low confidence (18.8%), and high complacency low confidence (23.7%). Multinomial Logistic regression showed that vaccine belief category was an important factor affecting vaccination intentions among college students in Shanghai. Compared with the low complacency high confidence group, high complacency low confidence group had the highest risk of vaccine refusal ( OR =24.80， P <0.05). Medical majors ( OR =0.13), participation in basic medical insurance ( OR =0.37), and recommendations from relatives, friends ( OR =0.39) or healthcare professionals ( OR =0.33) reduced the risk of vaccine refusal among male college students in Shanghai (all P <0.05). The Internet (70.6%) was the main source of HPV related information for male college students, and recommendations from healthcare professionals were associated with more positive vaccination intentions. Conclusions HPV vaccine hesitancy and refusal are common among male college students in Shanghai, with significant heterogeneity in vaccine belief structures. Targeted health education based on belief categories should be conducted to improve the vaccination intentions of male college students.

Objective: To explore the treatment plan for severe papillary defects in the aesthetic zone caused by severe periodontitis, providing a reference for clinical practice. Methods : A patient with severe periodontitis leading to severe papillary defects in the upper anterior teeth from 12 to 23 was treated using interdental tunnel technique combined with personalized connective tissue grafting for periodontal plastic surgery, and stable soft tissue augmentation was achieved. Resin restoration was conducted to modify the crown shape of the aesthetic zone teeth, reconstruct white aesthetics, guide the shaping of the gingival papillae, reduce “black triangles,” and enhance the patient’s confidence in smiling. Results : The patient’s periodontal condition and the regeneration of soft tissues in the aesthetic zone were good, and the smile aesthetics were restored. After a 3-year follow-up, the gingival morphology, color, and texture were good, and the effect was stable. The literature review indicates that for papillary defects in the aesthetic zone, analysis should be conducted based on the following aspects: whether a defect is present in periodontal hard and soft tissues, crown shape, and the distance from the most apical part of the crown contact area to the top of the alveolar crest. Based on the analysis of aesthetic defects and surgical indications, a personalized treatment plan should be designed. Conclusion For patients with obvious papillary defects in the aesthetic zone due to the reduction of periodontal support tissues caused by severe periodontitis, factors such as periodontal hard and soft tissue defects, crown shape, and the distance from the most apical part of the crown contact area to the top of the alveolar crest should be fully considered, and a personalized treatment plan should be formulated after multidisciplinary joint consultation.

G protein-coupled receptor kinase 2 (GRK2) participates in the phosphorylation and desensitization of G protein-coupled receptor (GPCR), impacting various biological processes such as inflammation and cell proliferation. Dysregulated expression and activity of GRK2 have been reported in multiple cells in rheumatoid arthritis (RA). However, whether and how GRK2 regulates synovial hyperplasia and fibroblast-like synoviocytes (FLSs) proliferation is poorly understood. In this study, we investigated the regulation of GRK2 and its biological function in RA. We found that GRK2 transmembrane activity was increased in FLSs of RA patients and collagen-induced arthritis (CIA) rats. Additionally, we noted a positive correlation between high GRK2 expression on the cell membrane and serological markers associated with RA and CIA. Immunoprecipitation-mass spectrometry and pull-down analyses revealed tumor necrosis factor receptor-associated factor 2 (TRAF2) as a novel substrate of GRK2. Furthermore, surface plasmon resonance (SPR) and molecular docking assays determined that the C-terminus of GRK2 binds to the C-terminus of TRAF2 at the Gln340 residue. GRK2 knockdown and the GRK2 inhibitor CP-25 attenuated synovial hyperplasia and FLS proliferation in CIA both in vitro and in vivo by decreasing GRK2 membrane expression and activity. Mechanistically, increased GRK2 transmembrane activity contributed to the recruitment of TRAF2 on the cell membrane, promoting GRK2-TRAF2 interactions that facilitate the recruitment of the E3 ubiquitin ligase TRIM47 to TRAF2. This enhanced TRAF2 Lys63 polyubiquitylation and induced nuclear factor (NF)-κB activation, leading to synovial hyperplasia and abnormal proliferation of FLSs. Our study provides a mechanistic and preclinical rationale for further evaluation of GRK2 as a therapeutic target for RA.

Objective To analyze the value of serum C1q tumor necrosis factor related protein 12(CTRP12)in early pregnancy in predicting gestational diabetes(GDM).Methods 182 pregnant women who underwent prenatal examinations in our department from March 2020 to October 2022 were selected,serum CTRP12 levels were measured at 6～14 weeks of pregnancy.At 24～28 weeks of pregnancy,they were divided into normal glucose tolerance(n=152,NGT)group and GDM group(n=30,GDM)based on OGTT results.The serum CTRP12 levels of the two groups were compared and its predictive value for GDM was analyzed.Results The incidence rate of GDM was 16.48%.Compared with NGT group,the age,pre pregnancy BMI,FPG and family history of diabetes in GDM group were significantly higher,and the serum level of CTRP12 was significantly lower(P<0.05).BMI before pregnancy,family history of diabetes,FPG and serum CTRP12 were the influencing factors of GDM.Receiver operating characteristic analysis showed that the AUC of serum CTRP12 for predicting GDM was 0.822(95%CI 0.759～0.885),the optimal cut-off value was 5.66 ng/ml,with the sensitivity 68.2%and the specificity 90.3%,respectively.Compared with the high level group of CTRP12,the incidence rate of GDM in the low level group of CTRP12 was significantly higher(P<0.05).Conclusions The serum CTRP12 level in GDM patients decreases in the early pregnancy.CTRP12 as an influencing factor may have certain predictive value for GDM.

In 2023，World Health Organization（WHO）announced that the pandemic of COVID-19 is over；while there was an epidemic of multi-pathogenic infections in the respiratory tract by the end of the year in China，indicating that high attention still need to be paid to infectious diseases. In the past one year，some breakthroughs for infectious diseases have been achieved.This article reviews the major events and research progress in the diagnosis，prevention and treatment of infectious diseases in 2023.

Objective:To summarize the main practices and experiences of the Centers for Medicare&Medicaid Services in the US.to pay for artificial intelligence(AI),which can provide references for the formulation of health insurance payment policies in China.Methods:Based on the literature study,it systematically analyzed the payment mechanism and typical cases of AI pay-ment in the US.Results:The US.has established four payment mechanisms for AI used in inpatient,outpatient and physician ser-vices,and set clear criteria for inclusion and payment,which has facilitated the clinical use of AI.Conclusion:It is suggested that China establish the payment mechanism for AI,focus on the clinical benefits of AI,and be alert of the overuse of AI.

Objective:To summarize the main practices and experiences of the Centers for Medicare&Medicaid Services in the US.to pay for artificial intelligence(AI),which can provide references for the formulation of health insurance payment policies in China.Methods:Based on the literature study,it systematically analyzed the payment mechanism and typical cases of AI pay-ment in the US.Results:The US.has established four payment mechanisms for AI used in inpatient,outpatient and physician ser-vices,and set clear criteria for inclusion and payment,which has facilitated the clinical use of AI.Conclusion:It is suggested that China establish the payment mechanism for AI,focus on the clinical benefits of AI,and be alert of the overuse of AI.

Objective:To summarize the main practices and experiences of the Centers for Medicare&Medicaid Services in the US.to pay for artificial intelligence(AI),which can provide references for the formulation of health insurance payment policies in China.Methods:Based on the literature study,it systematically analyzed the payment mechanism and typical cases of AI pay-ment in the US.Results:The US.has established four payment mechanisms for AI used in inpatient,outpatient and physician ser-vices,and set clear criteria for inclusion and payment,which has facilitated the clinical use of AI.Conclusion:It is suggested that China establish the payment mechanism for AI,focus on the clinical benefits of AI,and be alert of the overuse of AI.

Objective:To summarize the main practices and experiences of the Centers for Medicare&Medicaid Services in the US.to pay for artificial intelligence(AI),which can provide references for the formulation of health insurance payment policies in China.Methods:Based on the literature study,it systematically analyzed the payment mechanism and typical cases of AI pay-ment in the US.Results:The US.has established four payment mechanisms for AI used in inpatient,outpatient and physician ser-vices,and set clear criteria for inclusion and payment,which has facilitated the clinical use of AI.Conclusion:It is suggested that China establish the payment mechanism for AI,focus on the clinical benefits of AI,and be alert of the overuse of AI.

Objective:To summarize the main practices and experiences of the Centers for Medicare&Medicaid Services in the US.to pay for artificial intelligence(AI),which can provide references for the formulation of health insurance payment policies in China.Methods:Based on the literature study,it systematically analyzed the payment mechanism and typical cases of AI pay-ment in the US.Results:The US.has established four payment mechanisms for AI used in inpatient,outpatient and physician ser-vices,and set clear criteria for inclusion and payment,which has facilitated the clinical use of AI.Conclusion:It is suggested that China establish the payment mechanism for AI,focus on the clinical benefits of AI,and be alert of the overuse of AI.