The surgical management of empyema (excluding those caused by mycobacterium tuberculosis and non-tuberculous mycobacteria) is rapidly evolving towards minimally invasive, precise, and stepwise approaches. The traditional three-stage classification (exudative, fibrinopurulent, and organizing) has limitations in guiding dynamic clinical decision-making. For the first time, this consensus explicitly identifies two critical junctures in the pathological progression of empyema: "early transformation" (stage Ⅰ to Ⅱ) and "late transformation" (stage Ⅱ to Ⅲ), and thereby constructs a corresponding "identification-early warning-intervention" stepwise therapeutic framework. The consensus emphasizes that proactive debridement via video-assisted thoracoscopic surgery should be performed during the early transformation phase to halt disease progression. Conversely, during the late transformation phase, therapeutic goals should be rationally adjusted to prioritize adequate drainage, avoiding futile pleural decortication. Moreover, the consensus underscores the pivotal role of precise perioperative etiological diagnosis (e.g. metagenomic nest-generation sequencing) and standardized anti-infective therapy. Integrating practical experiences from multiple thoracic surgery centers in China and relevant evidence-based literature, this consensus formulates recommendations on the precise definitions of staging, surgical indications for each phase, key technical points, perioperative management, and training systems. It aims to promote the standardized and individualized surgical management of empyema, ultimately optimizing patient prognosis.

Aim To explore the potential mechanism of metformin on ATP-binding cassette transport A1(ABCA1)expression.Methods J774A.1 macrophages were treated with metformin and cycloheximide,and ABCA1 expression was determined by Western blot.His-tagged ABCA1 and HA-tagged Ub plasmids were co-transferred into HEK293 cells and stimulated with metformin.Co-immunoprecipitation(Co-IP)was used to test the binding ability of ABCA1 and ubiquitin.Candidate E3 ubiquitin-protein ligases(CE3)of ABCA1 were identified through Co-IP-based pro-teomics.The MIB1 plasmid was constructed and transferred into HEK293 cells,and Western blot was used to determine the effect of metformin and MIB1 on ABCA1 expression.Results Metformin increased the expression of ABCA1 in J774A.1 cells(P<0.01),and inhibited ABCA1 degradation(P<0.05).Metformin disrupted the binding of ABCA1 to ubiquitin(P<0.05).The proteins regulated by metformin in ABCA1 expression were primarily enriched in pathways re-lated to cell development,inflammation and immune defense.Metformin may upregulate ABCA1 protein expression via MIB1(P<0.05).Conclusion Metformin inhibits the degradation of ABCA1 by blocking the ubiquitin-proteasome system(UPS),and MIB1 might act as a candidate E3 ubiquitin-protein ligase(CE3)for ABCA1.

OBJECTIVE To explore the construction path and effectiveness of dynamic zoning management model during dengue fever pandemic,and to provide evidence for optimizing hospital-acquired infection control strategies.METHODS Retrospective analysis method was conducted,the practical data of dengue fever epidemic prevention and control in a tertiary general hospital in 2024 as the sample,to evaluate the application effect of the"zoned treatment-dynamic allocation-environmental coordination"trinity prevention and control model.Based on the optimized infection prevention and control strategies implemented during the epidemic,such as the"core ward-specialist collaboration"dynamic zoning,flexible ward expansion,hierarchical disinfection,real-time dynamic re-source allocation mechanism,and precise environmental intervention,a comprehensive evaluation of prevention and control efficiency was conducted across key dimensions including infection control,resource utilization,pre-vention and control costs and patient outcomes.RESULTS Through the construction of flexible wards,the number of expanded isolation beds accounted for 44.13％(331/750)of the total beds,including 144 beds(19.20％)in core wards and 187 beds(24.93％)in specialist collaborative wards.The expansion of specialist collaborative wards increased the isolation admission capacity by 129.86％.The two types of wards admitted 57.27％of single-disease dengue patients and 42.73％of isolated patients with combined diagnosis and treatment needs from inter-nal medicine,surgery,obstetrics,gynecology,and pediatrics.The minimum ratio of flexible buffer isolation beds was 6.34％(21/331),with a maximum daily treatment capacity of 310 patients.Data showed:hospital infec-tion incidence rate was 0,peak adult mosquito density was 0.13 mosquitoes/trap·night,prevention and control cost was 95.22 yuan per case,and patient satisfaction increased by 1.98％(95.09 vs.93.24,P=0.014).CONCLUSIONS The"dynamic zoning"model achieves rapid spatial elastic reconstruction of inpatient wards for"peace-epidemic conversion"through the coordination of three links.Based on effectively blocking in-hospital transmission,it ensures the needs of multi-specialty treatment,enabling the hospital to strike a balance between the bottom line of prevention and control safety and the fulfillment of diversified medical service requirements dur-ing the epidemic outbreak period.It can provide standardized prevention and control solutions for medical institu-tions to respond to public health emergencies of vector-borne infectious diseases,and achieve the goal of zero cross infection of hospital-acquired Dengue.

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

Aim To explore the potential mechanism of metformin on ATP-binding cassette transport A1(ABCA1)expression.Methods J774A.1 macrophages were treated with metformin and cycloheximide,and ABCA1 expression was determined by Western blot.His-tagged ABCA1 and HA-tagged Ub plasmids were co-transferred into HEK293 cells and stimulated with metformin.Co-immunoprecipitation(Co-IP)was used to test the binding ability of ABCA1 and ubiquitin.Candidate E3 ubiquitin-protein ligases(CE3)of ABCA1 were identified through Co-IP-based pro-teomics.The MIB1 plasmid was constructed and transferred into HEK293 cells,and Western blot was used to determine the effect of metformin and MIB1 on ABCA1 expression.Results Metformin increased the expression of ABCA1 in J774A.1 cells(P<0.01),and inhibited ABCA1 degradation(P<0.05).Metformin disrupted the binding of ABCA1 to ubiquitin(P<0.05).The proteins regulated by metformin in ABCA1 expression were primarily enriched in pathways re-lated to cell development,inflammation and immune defense.Metformin may upregulate ABCA1 protein expression via MIB1(P<0.05).Conclusion Metformin inhibits the degradation of ABCA1 by blocking the ubiquitin-proteasome system(UPS),and MIB1 might act as a candidate E3 ubiquitin-protein ligase(CE3)for ABCA1.

Objective:To observe the application of biofeedback instrument in patients with Alzheimer's disease(AD)and the effect of that on cognitive conversion of them.Methods:A total of 150 AD patients who admitted to Shanghai Mental Health Center from February 2022 to February 2024 were selected.The patients were divided into the observation group(75 cases)and the control group(75 cases)according to randomized numerical table.The control group received medicine treatment combined with conventional training,while the observation group received the treatment with biofeedback instrument on the basis of control group.The application effect and cognitive conversion of two groups were compared.Results:After treatment,the compliance rate and satisfaction rate of family's members for treatment results in observation group were higher than those in control group,and the differences of them between two groups were significant(x2=15.213,6.313,8.451,P＜0.05).Compared with the various indicators of two groups before the biofeedback instrument was applied,they were improved after it was applied.The β-wave and sensorimotor rhythm(SMR)-wave of electroencephalogram,Mini-Mental State Examination(MMSE)scores,Montreal Cognitive Assessment(MoCA)scores of observation group were higher than those of control group,and the θ-wave and the scores of Activity of Daily Living Scale(ADL)were lower than those of control group,and the differences of them between two groups were significant(t=6.094,5.315,3.973,4.447,6.362,6.869,P＜0.05),respectively.There was no significant difference in the rate of adverse reactions between the two groups(P＞0.05).Conclusion:The application of biofeedback instrument in AD patients can promote cognitive conversion and improve self-care ability,which has higher safety.

OBJECTIVE To explore the construction path and effectiveness of dynamic zoning management model during dengue fever pandemic,and to provide evidence for optimizing hospital-acquired infection control strategies.METHODS Retrospective analysis method was conducted,the practical data of dengue fever epidemic prevention and control in a tertiary general hospital in 2024 as the sample,to evaluate the application effect of the"zoned treatment-dynamic allocation-environmental coordination"trinity prevention and control model.Based on the optimized infection prevention and control strategies implemented during the epidemic,such as the"core ward-specialist collaboration"dynamic zoning,flexible ward expansion,hierarchical disinfection,real-time dynamic re-source allocation mechanism,and precise environmental intervention,a comprehensive evaluation of prevention and control efficiency was conducted across key dimensions including infection control,resource utilization,pre-vention and control costs and patient outcomes.RESULTS Through the construction of flexible wards,the number of expanded isolation beds accounted for 44.13％(331/750)of the total beds,including 144 beds(19.20％)in core wards and 187 beds(24.93％)in specialist collaborative wards.The expansion of specialist collaborative wards increased the isolation admission capacity by 129.86％.The two types of wards admitted 57.27％of single-disease dengue patients and 42.73％of isolated patients with combined diagnosis and treatment needs from inter-nal medicine,surgery,obstetrics,gynecology,and pediatrics.The minimum ratio of flexible buffer isolation beds was 6.34％(21/331),with a maximum daily treatment capacity of 310 patients.Data showed:hospital infec-tion incidence rate was 0,peak adult mosquito density was 0.13 mosquitoes/trap·night,prevention and control cost was 95.22 yuan per case,and patient satisfaction increased by 1.98％(95.09 vs.93.24,P=0.014).CONCLUSIONS The"dynamic zoning"model achieves rapid spatial elastic reconstruction of inpatient wards for"peace-epidemic conversion"through the coordination of three links.Based on effectively blocking in-hospital transmission,it ensures the needs of multi-specialty treatment,enabling the hospital to strike a balance between the bottom line of prevention and control safety and the fulfillment of diversified medical service requirements dur-ing the epidemic outbreak period.It can provide standardized prevention and control solutions for medical institu-tions to respond to public health emergencies of vector-borne infectious diseases,and achieve the goal of zero cross infection of hospital-acquired Dengue.

Objective:To observe the application of biofeedback instrument in patients with Alzheimer's disease(AD)and the effect of that on cognitive conversion of them.Methods:A total of 150 AD patients who admitted to Shanghai Mental Health Center from February 2022 to February 2024 were selected.The patients were divided into the observation group(75 cases)and the control group(75 cases)according to randomized numerical table.The control group received medicine treatment combined with conventional training,while the observation group received the treatment with biofeedback instrument on the basis of control group.The application effect and cognitive conversion of two groups were compared.Results:After treatment,the compliance rate and satisfaction rate of family's members for treatment results in observation group were higher than those in control group,and the differences of them between two groups were significant(x2=15.213,6.313,8.451,P＜0.05).Compared with the various indicators of two groups before the biofeedback instrument was applied,they were improved after it was applied.The β-wave and sensorimotor rhythm(SMR)-wave of electroencephalogram,Mini-Mental State Examination(MMSE)scores,Montreal Cognitive Assessment(MoCA)scores of observation group were higher than those of control group,and the θ-wave and the scores of Activity of Daily Living Scale(ADL)were lower than those of control group,and the differences of them between two groups were significant(t=6.094,5.315,3.973,4.447,6.362,6.869,P＜0.05),respectively.There was no significant difference in the rate of adverse reactions between the two groups(P＞0.05).Conclusion:The application of biofeedback instrument in AD patients can promote cognitive conversion and improve self-care ability,which has higher safety.

Objective:To determine the motion detection uncertainty of the real-time CybeRay ? imaging system and patient intrafractional motion with thermoplastic mask-based immobilization. Methods:Real-time CybeRay ? imaging system was used for irradiation and treatment for head phantom and patients with brain tumors. All patients were immobilized with thermoplastic masks. Real-time imaging was delivered using kilovoltage projection images during radiotherapy. The detected patient motion data was collected from 5 head phantom measurements and 27 treatment fractions of 9 brain tumor patients admitted to Kaifeng Cancer Hospital. The accuracy and uncertainty of the motion monitoring system were determined. Results:The mean and standard deviation (SD) of the detected motion in the X, Y, and Z directions for phantom were (-0.02±0.41) mm, (-0.05±0.22) mm and (0.01±0.35) mm, respectively. The detected motion in the X, Y and Z directions for patents were (-0.13±0.48) mm, (-0.05±0.48) mm and (0.11±0.36) mm, respectively. After removing the motion detection uncertainty, the actual intrafractional motion of patients were (-0.11±0.25) mm, (0±0.43) mm and (0.10±0.08) mm in three directions, respectively. Conclusions:The uncertainty of real-time imaging-based motion monitoring system of CybeRay ? is less than 0.5 mm. It is feasible to apply thermoplastic masks for brain tumor patients in clinical practice, which can provide steady immobilization and limit the SD of patient intrafractional motion within 0.5 mm. Real-time imaging-based motion monitoring system of CybeRay ? is accurate for patient motion monitoring during frameless stereotactic radiosurgery/radiotherapy.

Non-small cell lung cancer (NSCLC) is one of the most common types of cancer in the world and is an important cause for cancer death. Although the application of immunotherapy in recent years has greatly improved the prognosis of NSCLC, there are still huge challenges in the treatment of NSCLC. The immune microenvironment plays an important role in the process of NSCLC development, infiltration and metastasis, and they can interact and influence each other, forming a vicious circle. Notably, single-cell RNA sequencing enables high-resolution analysis of individual cells and is of great value in revealing cell types, cell evolution trajectories, molecular mechanisms of cell differentiation, and intercellular regulation within the immune microenvironment. Single-cell RNA sequencing is expected to uncover more promising immunotherapies. This article reviews the important researches and latest achievements of single-cell RNA sequencing in the immune microenvironment of NSCLC, and aims to explore the significance of applying single-cell RNA sequencing to analyze the immune microenvironment of NSCLC.