Work-related musculoskeletal disorders (WMSDs) represent a significant occupational health challenge among healthcare professionals globally, posing substantial threats to physical and mental well-being as well as work sustainability. Adopting preventive behaviors—including ergonomic postural adjustments, optimized work-rest scheduling, proper use of protective and assistive equipment, and regular physical activity—is essential for mitigating the risk of WMSDs. Guided by the social ecological model, the review synthesized current evidence on the determinants of WMSDs preventive behaviors across four levels: intrapersonal characteristics, work environment conditions, interpersonal support, and policy/institutional factors. The findings suggest that higher educational attainment, favorable health-related behavioral patterns, optimized ergonomic work environments, adoption of supportive collaborative systems, strong organizational support, as well as policy safeguards facilitate preventive behavior adoption. Conversely, limited prevention-related knowledge, low risk perception, insufficient physical activity, excessive workload, lack of appropriate protective equipment, inadequate ergonomic training, a prevailing culture of presenteeism, and inadequate policy implementation constitute significant barriers. Multi-dimensional intervention strategies targeting these determinants are warranted to enhance preventive behaviors, reduce the risk of WMSDs, and strengthen occupational health protection for healthcare professionals.

The global prevalence of obesity continues to rise, accompanied by various metabolic complications. While metabolic surgery has significant efficacy, there are still problems, such as suboptimal clinical outcomes and recurrent weight gain. The superior metabolic regulatory of glucagon-like peptide-1 (GLP-1) receptor agonists has made them a new option for bariatric treatment. This article systematically explored the clinical application framework of combining metabolic surgery with GLP-1 receptor agonists, including target populations (e.g., patients with postoperative weight regain, unremitted diabetes, or comorbid complications), intervention timing, drug selection strategies, and multidisciplinary collaboration pathways. Although combination therapy holds broad prospects, it still faces challenges, such as optimal treatment strategies, long-term safety, and cost-effectiveness. We should emphasize multidisciplinary collaboration and individualized plans to optimize the long-term effective management of obesity in the future.

Pyroptosis,a form of programmed cell death primarily mediated by gasdermin D(GSD-MD),plays a crucial role in infections and inflammatory responses.Although the OTU deubiquiti-nase 4(OTUD4)has shown its importance in various cellular processes,its specific function in py-roptosis remains unclear,which necessitates a deeper understanding of its role.This study aims to explore the role of OTUD4 in regulating GSDMD-mediated pyroptosis.Through experiments inclu-ding cell transfection,lactate dehydrogenase(LDH)release assays,co-immunoprecipitation(Co-IP),and Western blot(WB)analysis,we investigated the interaction between OTUD4 and GSD-MD and their influence on GSDMD-mediated pyroptosis.Our results indicated that OTUD4 could bind to GSDMD,significantly reduce Caspase-1-mediated cleavage of GSDMD,and lower protein levels of GSDMD-p30,thereby inhibiting pyroptosis.Conversely,the enzymatically inactive mutant of OTUD4(C45A)exhibited a markedly diminished inhibitory effect on pyroptosis.Furthermore,OTUD4 also demonstrated a significant inhibitory effect on pyroptosis in porcine cells.In conclu-sion,this study reveals that OTUD4 can inhibit GSDMD-p30-mediated pyroptosis through its deu-biquitinating activity,highlighting the critical function of OTUD4 in the regulation of pyroptosis and suggesting a potential target for the development of new therapeutic strategies.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective To investigate the risk of chronic obstructive pulmonary disease(COPD)after asthma and explore factors influen-cing the onset and progression of asthma in patients with COPD.Methods A follow-up cohort was established based on the United Kingdom Biobank(UKB)database.The risk of asthma and COPD was predicted,and the influencing factors were analyzed using a mul-tistate model(MSM).Results Without considering the influence of covariates,the cumulative risk from COPD to mortality was the highest,followed by asthma to COPD,and asthma to mortality.Advanced age,male,diabetes mellitus(DM),high waist-to-hip ratio,hyper-tension,increased Townsend deprivation index,increased frequency of smoking,and family history were risk factors for developing COPD in the asthmatic population.Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,and in creased frequency of smoking were risk factors for mortality in the asthmatic population.Advanced age,male,and DM and increased Townsend deprivation index were risk factors for mortality in the COPD population.Conclusion Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,increased smoking frequency,and family history increased the risk of COPD in the asthmatic population.This MSM can be used to predict the influencing factors and degree of COPD after asthma,and reveal the change law of disease progression.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

Pyroptosis,a form of programmed cell death primarily mediated by gasdermin D(GSD-MD),plays a crucial role in infections and inflammatory responses.Although the OTU deubiquiti-nase 4(OTUD4)has shown its importance in various cellular processes,its specific function in py-roptosis remains unclear,which necessitates a deeper understanding of its role.This study aims to explore the role of OTUD4 in regulating GSDMD-mediated pyroptosis.Through experiments inclu-ding cell transfection,lactate dehydrogenase(LDH)release assays,co-immunoprecipitation(Co-IP),and Western blot(WB)analysis,we investigated the interaction between OTUD4 and GSD-MD and their influence on GSDMD-mediated pyroptosis.Our results indicated that OTUD4 could bind to GSDMD,significantly reduce Caspase-1-mediated cleavage of GSDMD,and lower protein levels of GSDMD-p30,thereby inhibiting pyroptosis.Conversely,the enzymatically inactive mutant of OTUD4(C45A)exhibited a markedly diminished inhibitory effect on pyroptosis.Furthermore,OTUD4 also demonstrated a significant inhibitory effect on pyroptosis in porcine cells.In conclu-sion,this study reveals that OTUD4 can inhibit GSDMD-p30-mediated pyroptosis through its deu-biquitinating activity,highlighting the critical function of OTUD4 in the regulation of pyroptosis and suggesting a potential target for the development of new therapeutic strategies.

Objective To investigate the risk of chronic obstructive pulmonary disease(COPD)after asthma and explore factors influen-cing the onset and progression of asthma in patients with COPD.Methods A follow-up cohort was established based on the United Kingdom Biobank(UKB)database.The risk of asthma and COPD was predicted,and the influencing factors were analyzed using a mul-tistate model(MSM).Results Without considering the influence of covariates,the cumulative risk from COPD to mortality was the highest,followed by asthma to COPD,and asthma to mortality.Advanced age,male,diabetes mellitus(DM),high waist-to-hip ratio,hyper-tension,increased Townsend deprivation index,increased frequency of smoking,and family history were risk factors for developing COPD in the asthmatic population.Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,and in creased frequency of smoking were risk factors for mortality in the asthmatic population.Advanced age,male,and DM and increased Townsend deprivation index were risk factors for mortality in the COPD population.Conclusion Advanced age,male,DM,high waist-to-hip ratio,hypertension,increased Townsend deprivation index,increased smoking frequency,and family history increased the risk of COPD in the asthmatic population.This MSM can be used to predict the influencing factors and degree of COPD after asthma,and reveal the change law of disease progression.

Objective To develop a CD30-targeted CAR-T cell drug based on the multi-chain chimeric antigen re-ceptor T cells(CAR-T)of the bridging protein DAP12,and to study the in vitro and in vivo preclinical efficacy of CD30 CAR-T on Hodgkin lymphoma tumor cells.Methods Through gene synthesis and molecular cloning tech-niques,a CAR plasmid targeting CD30 was designed and constructed,and the obtained lentivirus was packaged.The T cells were transfected with the lentivirus,where the multi-chain CAR-T targeting CD30 was the CD30-KIRS2/Dap12-BB group,the single-chain second-generation CAR-T was the CD30-41BBζ group,and the T cells without virus infection were the NTD group.The positive rate of CAR was detected by flow cytometry,the cytotoxic-ity of the cells was detected by lactate dehydrogenase(LDH)release assay,the secretion level of the cytokine in-terferon γ(IFN-γ)was detected by enzyme-linked immunosorbent assay(ELISA),and the antitumor activity of CD30 CAR-T in mice was further detected by a mouse xenograft tumor model.Results A comparison was made between the multi-chain CAR-T targeting CD30 and the single-chain second-generation CAR-T.It was found that the antitumor effect of the multi-chain CAR-T was similar to that of the single-chain CAR-T.However,it was worth noting that the IFN-γ secretion level of the multi-chain CAR-T was higher(P<0.001).More importantly,in the mouse tumor model experiment,the multi-chain CAR-T achieved complete tumor regression.Conclusion The multi-chain CAR-T targeting CD30 is superior to the traditional single-chain CAR-T in terms of antitumor activity.

Objective:To design a novel electromagnetic ejection device for endoscopic suturing to achieve continuous deployment of suture nails.Methods:An electromagnetic ejection device and its accompanying suture nail structure were designed and a prototype was fabricated based on electromagnetic ejection principles. A finite element model of the electromagnetic ejection device was constructed to study the effects of armature-coil center distance and different driving voltages on suture nail ejection speed. An experimental platform for testing electromagnetic ejection velocity was constructed, and a high-speed camera was used to detect the ejection velocity. A platform for the suture embedding experiment was built to measure the effects of different voltages on the inserting speed of suture into the gastric wall tissue. A platform for a suture extraction force experiment was built to evaluate the extraction force of sutures embedded in tissues under different driving voltages.Results:A suture nail structure and electromagnetic ejection device were designed, and a prototype was fabricated. The ejection velocity increased and then decreased with the increase of the armature-coil center distance, and the maximum ejection velocity was 15.81 m/s at the center distance of 18 mm. At this distance, the voltage was linearly related to the ejection velocity, and the experimental values of the staple basically coincided with the simulated values. When the driving voltage was in the range of 150 to 180 V, the suture nails could successfully insert in the tissues, and the 180 V voltage group had a greater insertion depth. The extraction force of the suture nails at 120, 150, 180, and 210 V voltages were (0.49 ± 0.19), (1.14 ± 0.19), (1.23 ± 0.15), and (1.85 ± 0.31) N, respectively.Conclusions:A novel electromagnetic ejection device for endoscopic suturing is proposed that is capable of continuous firing of suture nails. This device provides a new long-distance driving method for intelligent, minimally invasive surgical instruments.