Purpose To investigate the clinical significance of Gasdermin B(GSDMB)in ovarian cancer and its relationship with immune infiltration,aiming to explore novel biomarkers for immunotherapy.Methods Gene expres-sion matrix,somatic mutations,somatic copy number alterations(SCNA),and clinical data were obtained from the The Cancer Genome Atlas(TCGA)database.Copy number variation(CNV)analysis was performed using the GISTIC algorithm,and the CIBERSORT algorithm was applied to quantify the relative abundance of 22 immune cell types in the tumor microenvironment.Protein-protein interaction(PPI)network analysis was conducted to identify GSDMB-associ-ated interacting proteins.Additionally,multiplex immunofluorescence was used to verify the spatial distribution differ-ences of GSDMB protein in clinical ovarian cancer samples with different immune phenotypes and its interaction with immune cells.Results The expression level of the GSDMB gene was significantly higher in adjacent non-cancerous tissues than in tumor tissues(P＜0.001).Patients with high GSDMB expression exhibited elevated levels of immune chemokines(such as CXCL9 and CXCL10,P＜0.01)and tumor-killing lymphocytes(the proportion of CD8+T cell was significantly higher in the high-expression group than in the low-expression group,P＜0.001).CNV analysis re-vealed that GSDMB copy number alterations significantly influenced immune cell infiltration:patients with GSDMB cop-y number amplification had decreased infiltration levels of CD4+T cells and dendritic cells(P＜0.05),while those with deep deletion of GSDMB had significantly reduced infiltration levels of CD8+T cells and neutrophils(P＜0.01).PPI network analysis indicated that GSDMB might interact with key immune molecules,including IL-37,IL-18BP,IL-33,and IL-2(Pearson correlation coefficient r＞0.6,P＜0.001).Multiplex immunofluorescence analysis demonstra-ted that tumors with high GSDMB expression were more likely to exhibit an immune-inflamed phenotype(52.6％),while tumors in the low-expression group were predominantly immune-desert type(47.3％).Immunotherapy cohort a-nalysis suggested that GSDMB could serve as a potential predictive biomarker for immunotherapy responsiveness,with high predictive efficacy in multiple immune checkpoint inhibitor therapy cohorts targeting PD-1,PD-L1,and CTLA4(AUC＞0.8).Conclusion GSDMB plays a crucial role in reshaping the tumor microenvironment in ovarian cancer and may serve as a novel sensitizing target for immunotherapy.

Aim To verify the therapeutic effect of the Qushi Huoxue decoction(QSHXF)on a mouse model of non-alcoholic fatty liver disease(NAFLD)using network pharmacology and experimental approaches,to examine the changes in the PI3K-AKT-lipid metabo-lism signaling pathway,and to elucidate its molecular mechanisms.Methods The potential active ingredi-ents and targets of the QSHXF were identified using the TCMSP platform.NAFLD-related genes were sourced from the GeneCards,PharmGkb,TTD,and OMIM data-bases.The intersection of drug targets and NAFLD treatment targets was analyzed to identify the key tar-gets of the QSHXF in treating NAFLD.The STRING database and Cytoscape 3.9.1 software were utilized to construct networks linking traditional Chinese medicine active ingredients to disease targets and PPI networks,allowing for the screening of key active ingredients and core targets.GO and KEGG enrichment analyses of the intersecting targets were conducted using R version 4.2.2.The NAFLD model was established by feeding mice a methionine-choline deficient diet for a duration of five weeks.Following successful modeling,low,me-dium,and high doses of the QSHXF were administered for intervention over a period of six weeks.The efficacy was verified and the underlying mechanisms were ex-plored using methods such as HE staining,Oil Red O staining,and Western blot analysis.Results The net-work pharmacology prediction indicated that QSHXF might effectively treat NAFLD through key components such as quercetin and kaempferol,as well as core tar-gets including STAT3,AKT1,and HIF1A.KEGG en-richment analysis further suggested that QSHXF might exert its therapeutic effects on NAFLD via signaling pathways such as AGE-RAGE and PI3K-AKT.Verifi-cation through animal experiments demonstrated that QSHXF could significantly reduce hepatic steatosis and lipid droplet accumulation in NAFLD mice.Specifical-ly,it markedly decreased serum levels of TC,TG,ALT,AST,and LDL,while increasing HDL levels.Addition-ally,the treatment significantly reduced the protein ex-pression levels of p-PI3K,p-AKT,SREBP-1c,FASN,and ACC1 in the liver.Conclusions QSHXF can sig-nificantly enhance liver function,improve blood lipid levels,and alleviate hepatic steatosis in NAFLD mice,with its mechanism potentially linked to the inhibition of the PI3K-AKT-lipid metabolism signaling pathway.

Objective To explore the supportive care needs of heart transplant patients at different stages.Methods Purposive sampling method was used to select 15 heart transplant patients who were hospitalized in a tertiary A hospital in Guangdong Province from July 2023 to February 2024 as research subjects.According to the"Timing It Right"theory,5 semi-structured interviews were conducted with patients.Interpretive phenomenology was used to sort out and analyze the data.Results A total of 5 themes and 18 subthemes were extracted,including urgent desire for transplant information and psychological support during diagnosis,strong physiological and emotional needs during hospitalization,significant demand for health education in the preparation period for discharge,expectation of family support during the adjustment period,increasing demand for social support during the adaptation period.Conclusion The supportive care needs of heart transplant patients at different stages are dynamic.Medical staff should adopt the concept of dynamic and continuous care,and provide personalized care in stages,plans and continuance,in order to improve the quality of life of heart transplant patients.

Purpose To investigate the clinical significance of Gasdermin B(GSDMB)in ovarian cancer and its relationship with immune infiltration,aiming to explore novel biomarkers for immunotherapy.Methods Gene expres-sion matrix,somatic mutations,somatic copy number alterations(SCNA),and clinical data were obtained from the The Cancer Genome Atlas(TCGA)database.Copy number variation(CNV)analysis was performed using the GISTIC algorithm,and the CIBERSORT algorithm was applied to quantify the relative abundance of 22 immune cell types in the tumor microenvironment.Protein-protein interaction(PPI)network analysis was conducted to identify GSDMB-associ-ated interacting proteins.Additionally,multiplex immunofluorescence was used to verify the spatial distribution differ-ences of GSDMB protein in clinical ovarian cancer samples with different immune phenotypes and its interaction with immune cells.Results The expression level of the GSDMB gene was significantly higher in adjacent non-cancerous tissues than in tumor tissues(P＜0.001).Patients with high GSDMB expression exhibited elevated levels of immune chemokines(such as CXCL9 and CXCL10,P＜0.01)and tumor-killing lymphocytes(the proportion of CD8+T cell was significantly higher in the high-expression group than in the low-expression group,P＜0.001).CNV analysis re-vealed that GSDMB copy number alterations significantly influenced immune cell infiltration:patients with GSDMB cop-y number amplification had decreased infiltration levels of CD4+T cells and dendritic cells(P＜0.05),while those with deep deletion of GSDMB had significantly reduced infiltration levels of CD8+T cells and neutrophils(P＜0.01).PPI network analysis indicated that GSDMB might interact with key immune molecules,including IL-37,IL-18BP,IL-33,and IL-2(Pearson correlation coefficient r＞0.6,P＜0.001).Multiplex immunofluorescence analysis demonstra-ted that tumors with high GSDMB expression were more likely to exhibit an immune-inflamed phenotype(52.6％),while tumors in the low-expression group were predominantly immune-desert type(47.3％).Immunotherapy cohort a-nalysis suggested that GSDMB could serve as a potential predictive biomarker for immunotherapy responsiveness,with high predictive efficacy in multiple immune checkpoint inhibitor therapy cohorts targeting PD-1,PD-L1,and CTLA4(AUC＞0.8).Conclusion GSDMB plays a crucial role in reshaping the tumor microenvironment in ovarian cancer and may serve as a novel sensitizing target for immunotherapy.

Aim To verify the therapeutic effect of the Qushi Huoxue decoction(QSHXF)on a mouse model of non-alcoholic fatty liver disease(NAFLD)using network pharmacology and experimental approaches,to examine the changes in the PI3K-AKT-lipid metabo-lism signaling pathway,and to elucidate its molecular mechanisms.Methods The potential active ingredi-ents and targets of the QSHXF were identified using the TCMSP platform.NAFLD-related genes were sourced from the GeneCards,PharmGkb,TTD,and OMIM data-bases.The intersection of drug targets and NAFLD treatment targets was analyzed to identify the key tar-gets of the QSHXF in treating NAFLD.The STRING database and Cytoscape 3.9.1 software were utilized to construct networks linking traditional Chinese medicine active ingredients to disease targets and PPI networks,allowing for the screening of key active ingredients and core targets.GO and KEGG enrichment analyses of the intersecting targets were conducted using R version 4.2.2.The NAFLD model was established by feeding mice a methionine-choline deficient diet for a duration of five weeks.Following successful modeling,low,me-dium,and high doses of the QSHXF were administered for intervention over a period of six weeks.The efficacy was verified and the underlying mechanisms were ex-plored using methods such as HE staining,Oil Red O staining,and Western blot analysis.Results The net-work pharmacology prediction indicated that QSHXF might effectively treat NAFLD through key components such as quercetin and kaempferol,as well as core tar-gets including STAT3,AKT1,and HIF1A.KEGG en-richment analysis further suggested that QSHXF might exert its therapeutic effects on NAFLD via signaling pathways such as AGE-RAGE and PI3K-AKT.Verifi-cation through animal experiments demonstrated that QSHXF could significantly reduce hepatic steatosis and lipid droplet accumulation in NAFLD mice.Specifical-ly,it markedly decreased serum levels of TC,TG,ALT,AST,and LDL,while increasing HDL levels.Addition-ally,the treatment significantly reduced the protein ex-pression levels of p-PI3K,p-AKT,SREBP-1c,FASN,and ACC1 in the liver.Conclusions QSHXF can sig-nificantly enhance liver function,improve blood lipid levels,and alleviate hepatic steatosis in NAFLD mice,with its mechanism potentially linked to the inhibition of the PI3K-AKT-lipid metabolism signaling pathway.

Objective To explore the supportive care needs of heart transplant patients at different stages.Methods Purposive sampling method was used to select 15 heart transplant patients who were hospitalized in a tertiary A hospital in Guangdong Province from July 2023 to February 2024 as research subjects.According to the"Timing It Right"theory,5 semi-structured interviews were conducted with patients.Interpretive phenomenology was used to sort out and analyze the data.Results A total of 5 themes and 18 subthemes were extracted,including urgent desire for transplant information and psychological support during diagnosis,strong physiological and emotional needs during hospitalization,significant demand for health education in the preparation period for discharge,expectation of family support during the adjustment period,increasing demand for social support during the adaptation period.Conclusion The supportive care needs of heart transplant patients at different stages are dynamic.Medical staff should adopt the concept of dynamic and continuous care,and provide personalized care in stages,plans and continuance,in order to improve the quality of life of heart transplant patients.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.