OBJECTIVE To provide a basis for aligning Chinese pharmacoeconomic research on heart failure （HF） with international standards. METHODS A qualitative comparison o f domestic and global HF pharmacoeconomic studies was conducted across four dimensions： research methods and model application， research perspectives and endpoints， data sources and parameter selection， and policy translation and practical impact. RESULTS & CONCLUSIONS Global studies predominantly utilize long-term dynamic models， societal perspectives， real-world data integration， and directly inform reimbursement decisions. Conversely， domestic research often relies on short-term simplified models， a single healthcare system perspectives， literature-derived data， and individual medicine recommendations. Future domestic studies should transition to long-term dynamic modeling， develop localized disease-specific utility databases via big data， establish reimbursement-linked closed-loop mechanisms， and foster multidisciplinary collaboration to optimize healthcare resource allocation.

Obesity is a significant risk factor for cancer and is associated with breast cancer metastasis. Nevertheless, the mechanism by which alterations in systemic metabolism affect tumor microenvironment (TME) and consequently influence tumor metastasis remains inadequately understood. Herein, we found that perturbations in circulating metabolites induced by obesity promote metastasis-like phenotypes in breast cancer. Oleoylcarnitine (OLCarn) concentrations were elevated in the serum of obese mice and humans. Administration of exogenous OLCarn induces metastasis-like characteristics in breast cancer cells. Mechanistically, OLCarn directly interacts with the Arg176 site of adenylate cyclase 10 (ADCY10), leading to the activation of ADCY10 and enhancement of cAMP production. Mutations at Arg176 prevent OLCarn from binding to ADCY10, disrupting the ADCY10-mediated activation of cyclic adenosine monophosphate (cAMP) signaling pathway. This activation promotes transcription factor 4 (TCF4)-dependent kinesin family member C1 (KIFC1) transcription, thereby driving breast cancer metastasis. Conversely, the neutralization of both ADCY10 and KIFC1 through knockdown or pharmacological inhibition abrogates the oncogenic effects mediated by OLCarn. Hence, obesity-induced systemic environmental changes lead to the aberrant accumulation of OLCarn within the TME, making it a potential therapeutic target and biomarker for breast cancer.

Objective To conduct a scoping review of the intervention design and application status of intelligent interactive cognitive-motor training(IICMT)in fall prevention among older adults,providing references for subsequent research in this field.Methods Following the scoping review framework,systematic searches were conducted in PubMed,Web of Science,Embase,Cochrane Library,CINAHL,Scopus,IEEE Xplore,Chinese Biomedical Literature Database,CNKI,Wanfang Database,and VIP Database from their inception to September 17,2024.The included studies were analyzed and summarized.Results A total of 19 articles were included.The main intelligent interactive technologies included virtual reality,commercial games,computer touch sensing,wearable devices,and infrared sensing,typically combining basic cognitive ability training,advanced cognitive function training,spatial cognitive training,and comprehensive application training with functional activity training such as balance and coordination,gait and strength,stair climbing,and obstacle avoidance.Assessment indicators included balance and gait,fall risk and self-efficacy,physiological indicators,muscle strength,postural stability,physical function,as well as feasibility and safety assessments.Conclusion IICMT is safe and feasible among older adults,and can improve balance and fall efficacy,reducing the risk of falls.

Objective To investigate the differences in acute mountain sickness between individuals en-tering the plateau for the first time and those with multiple plateau experiences,and to examine the impact on psychological stress.Methods A total of 2 337 young plateau-acclimatized individuals from an acclimatization rotation area during November 2023 to January 2024 were selected as the study subjects.Those entering the plateau for the first time were classified into Group A(n=425),while those with previous plateau experience(at least one prior visit)were classified into Group B(n=1 912).Differences were analyzed between the two groups in terms of general characteristics,as well as acute mountain sickness(AMS)scores,Self-Rating De-pression Scale(SDS)scores,Symptom Checklist-90(SCL-90)scores,and various vital signs at the following time points:before entering the plateau(T0),on the 1st day(T1),4th day(T2),7th day(T3),and 10th day(T4)after entering the plateau.Results Group A was younger than Group B,with a statistically significant difference(P<0.05).At T1,T2,and T3,AMS scores in Group A were significantly higher than those in Group B(P<0.05).At T4,there was no statistically significant difference in AMS scores between the two groups(P>0.05).At T1,T2,and T3,blood oxygen saturation was lower and heart rate higher in Group A than in Group B,with statistically significant differences(P<0.05).After high-altitude acclimatization,no statistically significant differences in blood oxygen saturation or heart rate were observed between the groups at T4(P>0.05).At T1,there were no statistically significant differences in systolic or diastolic blood pres-sure between the groups(P>0.05).At T2,both systolic and diastolic blood pressure were higher in Group A than in Group B(P<0.05).At T3 and T4,after high-altitude acclimatization,systolic blood pressure de-creased in both groups but remained higher in Group A than in Group B(P<0.05).On the SDS scale,men-tal-emotional and somatic symptom scores were significantly higher in Group A than in Group B(P<0.001).On the SCL-90,all nine symptom factor scores were higher in Group A than in Group B(P<0.05).Conclusion Indi-viduals entering high-altitude areas for the first time experience more severe acute mountain sickness and more pronounced psychological stress.Therefore,enhanced monitoring,psychological counseling,and tailored pre-vention and treatment strategies should be implemented.

Objective To identify the key biomarkers for diagnosing chronic obstructive pulmonary disease(COPD)complicated with pulmonary arterial hypertension(PAH)using bioinformatics,and validate their clinical significance.Methods High-throughput sequencing data analysis was employed to identify differentially expressed genes(DEGs)in COPD-PAH.Functional enrichment analysis was then conducted to explore the biological functions of these DEGs.Machine learning methods,including least absolute shrinkage and selection operator(LASSO),random forest(RF),and support vector machine-recursive feature elimination(SVM-RFE),were utilized to screen 5 potential biomarkers.Single-cell analysis was performed to reveal the expression patterns of these key genes in macrophages.The clinical significance of these biomarkers was further validated using peripheral blood mononuclear cells(PBMC)data.A mouse model of COPD-PAH was established using hypoxia exposure.Sixteen mice(either sexes,8 weeks old,weighing 20～22 g)were randomly divided into a hypoxia group[O2(10.0±0.5)%,COPD-PAH,n=8]and a normoxia group(COPD,n=8).Immunofluorescence assay was used to label the key biomarkers,and their expression levels were quantified.Results A total of 28 DEGs(|Log2FC|≥2,P<0.05)were identified in COPD-PAH patients.Functional enrichment analysis indicated that DEGs in COPD were primarily associated with major histocompatibility complex(MHC)Ⅱ and cell division,and involved in lysosomes,oxidative phosphorylation,and cell cycle pathways(P<0.05).Machine learning identified 5 potential biomarkers(GRN,KLF4,SHTN1,LRP1,and GPNMB),and subsequent single-cell analysis revealed that these markers exhibited reverse expression patterns during disease progression.A nomogram model constructed based on PBMC data yielded an area under the curve(AUC)of 0.907 in diagnosing COPD-PAH.GRN,KLF4,SHTN1,LRP1 and GPNMB were significantly upregulated in the COPD-PAH group(P<0.05).Conclusion GRN,KLF4,SHTN1,LRP1 and GPNMB are identified as key biomarkers for the prediction and diagnosis of COPD-PAH,which providing new insights for the clinical and treatment of the condition.

Objective To establish a purification,enrichment and test method of tetrodotoxin in blood.Methods Through the investigation of various hydrophilic chromatographic columns,the comparison of extraction effects of different types of solid phase extraction columns and the interference analysis of mixed peaks on qualitative ion pairs,the matrix influence of tetrodotoxin was reduced,and the detection sensitivity and qualitative accuracy were improved.Results Tetrodotoxin is highly polar and easily inhibited by the matrix,while conventional precipitation protein method has low sensitivity and isomer double peaks,and the C18 column is not reserved.After comprehensive comparative analysis,the weak cation exchange column PWC column is finally used for purification and enrichment.Complete elution was achieved using 0.5 mL 10%formic acid and 50%acetonitrile aqueous solution.Seperation was performed on an Atlantis HILIC column,with qualitative ion pairs set at m/z,320.10>162.15 and 284.15.The detection limit of the method was 0.061 ng/mL.Conclusion The established PWC solid-phase extraction-LC/MS detection method demonstrates significant purification efficacy,minimal matrix influence,unobstructed chromatographic peaks,markedly improved detection sensitivity.This approach is operationally simple,and applicable to forensic casework.

Cancer patients often experience worsening pain due to the limitations of traditional pharmacological treatments. This paper explores the innovative application of multi-agent systems in this field. As a key component of artificial intelligence, multi-agent systems assist healthcare providers in making intelligent decisions and interventions based on patients' conditions, and can collaborate with other smart devices to provide personalized care. This review discusses the concept of multi-agent systems, their application in pain management, and the potential challenges and countermeasures, aiming to provide guidance for the intelligent management of cancer patient pain.

Objective To conduct a scoping review of the intervention design and application status of intelligent interactive cognitive-motor training(IICMT)in fall prevention among older adults,providing references for subsequent research in this field.Methods Following the scoping review framework,systematic searches were conducted in PubMed,Web of Science,Embase,Cochrane Library,CINAHL,Scopus,IEEE Xplore,Chinese Biomedical Literature Database,CNKI,Wanfang Database,and VIP Database from their inception to September 17,2024.The included studies were analyzed and summarized.Results A total of 19 articles were included.The main intelligent interactive technologies included virtual reality,commercial games,computer touch sensing,wearable devices,and infrared sensing,typically combining basic cognitive ability training,advanced cognitive function training,spatial cognitive training,and comprehensive application training with functional activity training such as balance and coordination,gait and strength,stair climbing,and obstacle avoidance.Assessment indicators included balance and gait,fall risk and self-efficacy,physiological indicators,muscle strength,postural stability,physical function,as well as feasibility and safety assessments.Conclusion IICMT is safe and feasible among older adults,and can improve balance and fall efficacy,reducing the risk of falls.

Cancer patients often experience worsening pain due to the limitations of traditional pharmacological treatments. This paper explores the innovative application of multi-agent systems in this field. As a key component of artificial intelligence, multi-agent systems assist healthcare providers in making intelligent decisions and interventions based on patients' conditions, and can collaborate with other smart devices to provide personalized care. This review discusses the concept of multi-agent systems, their application in pain management, and the potential challenges and countermeasures, aiming to provide guidance for the intelligent management of cancer patient pain.

Objective To establish a purification,enrichment and test method of tetrodotoxin in blood.Methods Through the investigation of various hydrophilic chromatographic columns,the comparison of extraction effects of different types of solid phase extraction columns and the interference analysis of mixed peaks on qualitative ion pairs,the matrix influence of tetrodotoxin was reduced,and the detection sensitivity and qualitative accuracy were improved.Results Tetrodotoxin is highly polar and easily inhibited by the matrix,while conventional precipitation protein method has low sensitivity and isomer double peaks,and the C18 column is not reserved.After comprehensive comparative analysis,the weak cation exchange column PWC column is finally used for purification and enrichment.Complete elution was achieved using 0.5 mL 10%formic acid and 50%acetonitrile aqueous solution.Seperation was performed on an Atlantis HILIC column,with qualitative ion pairs set at m/z,320.10>162.15 and 284.15.The detection limit of the method was 0.061 ng/mL.Conclusion The established PWC solid-phase extraction-LC/MS detection method demonstrates significant purification efficacy,minimal matrix influence,unobstructed chromatographic peaks,markedly improved detection sensitivity.This approach is operationally simple,and applicable to forensic casework.