ObjectiveTo investigate whether anti-programmed death-1 （PD-1） monoclonal antibody can enhance the efficacy and safety of argon-helium cryoablation combined with targeted therapy in patients with unresectable hepatocellular carcinoma （uHCC） aged 60 years or older. MethodsA retrospective analysis was performed for the clinical data of 124 patients with advanced uHCC aged 60 years or older who were treated at The Fifth Medical Center of Chinese PLA General Hospital from January 2013 to September 2024. After propensity score matching， 57 patients received cryoablation combined with targeted therapy （double combination group）， while 57 received cryoablation combined with targeted therapy and anti-PD-1 monoclonal antibody （triple combination group）. The indicators for efficacy assessment included objective response rate （ORR）， disease control rate （DCR）， progression-free survival （PFS）， overall survival （OS）， and the incidence rate of adverse events. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison between groups. A Cox proportional-hazards regression model analysis was used to investigate the influencing factors for survival prognosis. ResultsThe triple combination group had a significantly higher ORR than the double combination group （59.6% vs 29.8%， χ²=9.083， P=0.003）， while there was no significant difference in DCR between the two groups （87.7% vs 77.2%， χ²=1.516， P=0.218）， and compared with the double combination group， the triple combination group had significantly longer median PFS （9.1 months vs 4.8 months， χ²=7.813， P=0.005） and median OS （26.1 months vs 13.6 months， χ²=14.199， P<0.001）. The multivariate Cox proportional-hazards regression model analysis showed that triple combination treatment was an independent influencing factor for PFS （hazard ratio ［HR］=0.52， 95% confidence interval ［CI］： 0.35 — 0.78， P=0.001） and OS （HR=0.32， 95%CI： 0.20 — 0.51， P<0.001）. There was no significant difference in the incidence rate of adverse events between the two groups （P>0.05）. ConclusionTriple combination treatment with argon-helium cryoablation， targeted therapy， and anti-PD-1 monoclonal antibody can significantly improve survival benefits in uHCC patients aged 60 years or older， with a controllable safety profile.

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

OBJECTIVE To provide references for ensuring the safety of prescription preparation， dispensing， and use of parenteral nutrition solution， as well as for expanding the scope of pharmaceutical services provided by pharmacists in the Pharmacy Intravenous Admixture Services （PIVAS）. METHODS Under the guidance of PIVAS pharmacists， the rules for reviewing medical orders of parenteral nutrition in the PIVAS system and the information displayed on the infusion labels of finished parenteral nutrition solutions were refined. The process management of dispensing parenteral nutrition solution was strengthened， and detailed quality control and inspection rules were formulated. Additionally， Clinical Safety Monitoring Form for Finished Parenteral Nutrition Infusions was designed to conduct clinical monitoring and inspections for abnormalities in the finished infusions， infusion operations， and complications that may arise during the use of finished parenteral nutrition infusions. The implementation effects of the aforementioned optimization/inspection measures were evaluated by comparing data on the efficiency of medical order review for parenteral nutrition， the rate of irrational medical orders， the compliance rate of vascular access selection and infusion rate standardization， the rate of dispensing error， as well as the abnormalities occurring during clinical use， before and after the optimization/inspection initiatives were put into place. RESULTS The optimized prescription review system achieved automatic review of medical orders for parenteral nutrition， enhancing the efficiency of order review. The average time taken to review one parenteral nutrition medical order was reduced from approximately 1 minute to 10 seconds. The irrational rate of parenteral nutrition orders decreased by 31.87%. The dispensing error rate of parenteral nutrition decreased by 56.55%. The standard rate of vascular access selection and standard rate of infusion speed were increased by 13.29% and 3.54%， respectively. The PIVAS pharmacists identified and intervened in 5 abnormal cases out of 298 cases examined for use of parenteral nutrition solutions. CONCLUSIONS By optimizing the prescription review system， improving labeling information， and strengthening quality control inspections during both preparation and administration processes， PIVAS pharmacists have enhanced the safety of compounded parenteral nutrition solutions. This initiative has expanded the scope and depth of pharmaceutical care provided by dispensing pharmacists.

Computational approaches for predicting drug-target interactions (DTIs) are pivotal in advancing drug discovery. Current methodologies leveraging heterogeneous networks often fall short in fully integrating both local and global network information. To comprehensively consider network information, we propose DHGT-DTI, a novel deep learning-based approach for DTI prediction. Specifically, we capture the local and global structural information of the network from both neighborhood and meta-path perspectives. In the neighborhood perspective, we employ a heterogeneous graph neural network (HGNN), which extends Graph Sample and Aggregate (GraphSAGE) to handle diverse node and edge types, effectively learning local network structures. In the meta-path perspective, we introduce a Graph Transformer with residual connections to model higher-order relationships defined by meta-paths, such as "drug-disease-drug", and use an attention mechanism to fuse information across multiple meta-paths. The learned features from these dual perspectives are synergistically integrated for DTI prediction via a matrix decomposition method. Furthermore, DHGT-DTI reconstructs not only the DTI network but also auxiliary networks to bolster prediction accuracy. Comprehensive experiments on two benchmark datasets validate the superiority of DHGT-DTI over existing baseline methods. Additionally, case studies on six drugs used to treat Parkinson's disease not only validate the practical utility of DHGT-DTI but also highlight its broader potential in accelerating drug discovery for other diseases.

Objective We tried to analyze the value of three-dimensional speckle tracking imaging technology combined with left ventricular pressure strain loop for evaluation of left ventricular systolic dysfunction in early coronary heart disease patients.Methods 97 patients with early coronary heart disease admitted to our hospital from February 2022 to February 2024 were selected as the research subjects.According to the degree of left ventricular systolic dysfunction,they were divided into those without left ventricular systolic dysfunction(LVEF value≥50%)and those with left ventricular systolic dysfunction(LVEF value<50%).All patients under-went clinical data collection,left ventricular pressure strain loop,and three-dimensional speckle tracking imaging technology examination.Results Body mass index,gender,diabetes mellitus and hyperlipidemia were compared between the two groups(P>0.05).Compared with the group without left ventricular systolic dysfunction,the group with left ventricular systolic dysfunction is older,with a higher proportion of Killip grades Ⅲ～Ⅳ and multiple coronary artery lesions(P<0.05).Compared with the group without reduced left ventricular systolic function,the absolute levels of GWE,GCW,and GWI in the group with reduced left ventricular systolic function were lower,while the absolute level of GWW was higher(P<0.05).Compared with the group without left ventricular systolic dysfunction,the left ventricular systolic dysfunction group had lower levels of area,circumference,radial,and longitudinal strain(P<0.05).GWE、GCW、GWI、Area,circumference,radial,and longitudinal strain levels were negatively correlated with the incidence of left ventricular systolic dysfunction,while GWW was positively correlated with the incidence of left ventricular systolic dysfunction(P<0.05).The ROC analysis results showed that the sensitivity and accuracy of left ventricular pressure strain loop and three-dimensional speckle track-ing imaging technology in predicting left ventricular systolic dysfunction in early coronary heart disease patients were lower than combined detection(P<0.05).Conclusions Early coronary heart disease patients with reduced left ventricular systolic function had lower absolute levels of area,circumference,radial,longitudinal strain,GWE,GCW,and GWI,and higher absolute levels of GWW.These indicators are all related to the incidence of left ventricular systolic dysfunction.The combination of three-dimensional speckle tracking imaging technology and left ventricular pressure strain loop had high value in predicting left ventricular systolic dysfunction in early coronary heart disease patients.

Objective:To develop the Nurse Parenting Stress Scale and evaluate its reliability and validity.Methods:Based on Abidin's Parenting Stress Theory, scale items were generated through literature review and semi-structured interviews. The initial version was constructed via Delphi expert consultation. Using a convenience sampling method, nurses from six hospitals in Shandong Province were surveyed between August and October 2024. The first survey collected 314 questionnaires (308 valid, effective recovery rate 98.1%) for item analysis and exploratory factor analysis (EFA). The second survey collected 458 questionnaires (447 valid, effective recovery rate 97.6%) for confirmatory factor analysis (CFA) .Results:The Nurse Parenting Stress Scale consists of 4 dimensions and 31 items. The Cronbach's α coefficient of the total scale was 0.951, split-half reliability was 0.782, and test-retest reliability was 0.926. EFA extracted four common factors explaining 70.241% of the cumulative variance. CFA demonstrated a good model fit. The item-level content validity index ( I- CVI) ranged from 0.889 to 1.000, the scale-level universal agreement content validity index ( S- CVI/ UA) was 0.903, and the scale-level average content validity index ( S- CVI/ Ave) was 0.989. Conclusions:The Nurse Parenting Stress Scale shows strong reliability and validity and can serve as an effective tool for assessing parenting stress among nurses.

Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.

Objective:To develop the Nurse Parenting Stress Scale and evaluate its reliability and validity.Methods:Based on Abidin's Parenting Stress Theory, scale items were generated through literature review and semi-structured interviews. The initial version was constructed via Delphi expert consultation. Using a convenience sampling method, nurses from six hospitals in Shandong Province were surveyed between August and October 2024. The first survey collected 314 questionnaires (308 valid, effective recovery rate 98.1%) for item analysis and exploratory factor analysis (EFA). The second survey collected 458 questionnaires (447 valid, effective recovery rate 97.6%) for confirmatory factor analysis (CFA) .Results:The Nurse Parenting Stress Scale consists of 4 dimensions and 31 items. The Cronbach's α coefficient of the total scale was 0.951, split-half reliability was 0.782, and test-retest reliability was 0.926. EFA extracted four common factors explaining 70.241% of the cumulative variance. CFA demonstrated a good model fit. The item-level content validity index ( I- CVI) ranged from 0.889 to 1.000, the scale-level universal agreement content validity index ( S- CVI/ UA) was 0.903, and the scale-level average content validity index ( S- CVI/ Ave) was 0.989. Conclusions:The Nurse Parenting Stress Scale shows strong reliability and validity and can serve as an effective tool for assessing parenting stress among nurses.

Objective To investigate the role and mechanism of nuclear factor-κB(NF-κB)/cyclophilin D(CypD)-mediated mitochondrial stress signaling pathway in islet β-cell dysfunction in type 2diabetic(T2DM)mice.Methods Six-week-old CypD gene knockout(CypD-/-)mice and their wild-type(WT)littermates were randomly divided into normal control groups(CypD-/-group and WT group)and diabetic model groups[CypD-/-+high-fat diet(HFD)+streptozotocin(STZ)group and WT+HFD+STZ group],with six mice in each group.The fasting blood glucose,serum insulin,pancreatic insulin levels,glucose-stimulated insulin secretion(GSIS),NF-κB levels,pan-creatic and duodenal homeobox-1(PDX-1)expression levels,and mitochondrial respiratory oxygen consumption rate(OCR)of islet cells were measured in each group.The CypD level in islet β-cells(INS-1 cells)overexpressing NF-κB was detected using recombinant adenovirus infection technology.Results Compared with the WT+HFD+STZ group,the CypD-/-+HFD+STZ group showed sig-nificant decrease in fasting blood glucose levels,significant increase in serum insulin and pancreatic insulin levels(P＜0.001),and PDX-1 expression levels(P＜0.001).The CypD-/-+HFD+STZ group also exhibited significantly elevated GSIS levels(P＜0.001),and enhanced basal respiration,ATP production,maximal respiration,and reserve respiratory capacity of islet cells compared with the WT+HFD+STZ group(P＜0.001 or P＜0.05).The relative expression level of CypD protein in islet β-cells overexpressing NF-κB was significantly higher than that in control cells(P＜0.05).Conclusion CypD-/-can improve fasting blood glucose and insulin levels in T2DM mice,regulate the downregulation of PDX-1 expression,enhance GSIS and mitochondrial respiratory function,and protect islet β-cells.Overexpression of NF-κB can induce the upregulation of CypD expression and play an upstream regulatory role in the NF-κB/CypD-mediated mitochondrial stress signaling pathway.

Objective:To evaluate the predictive efficacy of different comorbidity indices for hospitalization due to acute exacerbations in chronic obstructive pulmonary disease (COPD) patients with comorbidities (CO-COPD).Methods:This retrospective cohort study included 259 stable COPD patients with comorbidities from Beijing Tongren Hospital, Capital Medical University, between October 2021 and September 2023, all with ≥1-year follow-up. Patients were categorized into hospitalized ( n=75) and non-hospitalized ( n=184) groups based on acute exacerbation events. Clinical characteristics, comorbidities, and comorbidity indices, including Charlson Comorbidity Index (CCI), COPD-specific Comorbidity Test (COTE), and comorbidities in chronic obstructive lung disease index (COMCOLD) were compared between two goups. Risk facors of hospitalization due to acute exacerbations were analyzed by Cox regression. Modified indices were developed by incorporating additional respiratory comorbidities (asthma, bronchiectasis, lung cancer) weighted by hazard ratios (HRs) from Cox reguression. The predictive performance of different comorbidity indices for hospitalization was assessed by receiver operating characteristic (ROC) curves. Results:Hospitalized patients exhibited lower BMI, FEV 1% predicted, and FEV 1/FVC (all P<0.05), alongside higher modified British Medical Research Coucil (mMRC) scores and COPD assessment test (CAT) scores, eosinophil counts, and Global Initiative for Chronic Obstructive Lung Disease, (GOLD)severity ( t=3.73, Z=-3.43, Z=-2.43, Z=-11.10, Z=-11.32, Z=-1.80, χ2=17.62, all P<0.05); and also higher use rates of inhaled corticosteroid (ICS) and systemic oral corticosteroid (OCS) ( χ2=5.48, 7.15, all P<0.05). The comorbidities of asthma, bronchiectasis, lung cancer, hypertension, coronary atherosclerotic heart disease, anxiety and depression in hospitalized group were significantly higher ( χ2=22.49, 18.30, 15.63, 5.10, 4.68, 7.46, 5.16, all P<0.05), along with the increased CCI and COTE index ( P<0.05). Comorbid asthma, bronchiectasis, and lung cancer were independent risk factors for hospitalization ( HR=1.841, 2.924, and 2.076, respectively; all P<0.05). Original CCI and COTE showed moderate predictive value ( AUC=0.609 and 0.655), while modified CCI, COTE, and COMCOLD demonstrated improved performance ( AUC=0.730, 0.760, and 0.713, respectively). At optimal cutoffs (modified CCI>3.5, COTE>4.5, COMCOLD>6.5), sensitivities were 61.3%, 76.0%, and 58.7%, with specificities of 70.1%, 61.4%, and 72.3%. Age-stratified analysis revealed enhanced predictive utility of modified indices across age groups. Conclusions:CCI, COTE, and COMCOLD provide modest predictive value for hospitalization in CO-COPD. Modified indices incorporating respiratory comorbidities significantly improve risk stratification, offering clinical utility for identifying high-risk patients in primary care settings.