Currently, internet services are developing rapidly, and the relationship between specific types of internet services and the well-being of older adults is still unclear. This study took a total of 353 urban older adults aged 60 years and above as research objects to explore the impact of the use behavior toward internet-based medical services (IBMS) on their well-being through an online questionnaire. This study integrated well-being theory and peer support theory, constructed an extended structural equation model of technology acceptance based on the technology acceptance model (TAM), and analyzed the variable path relationship. The results confirm the proposed model: older adults improved their eudaimonic well-being through using IBMS; perceived usefulness significantly affected the older adults’ attitudes towards IBMS; perceived ease of use significantly affected the use of IBMS through mediation; peer support significantly affected older adults’ attitudes, willingness, actual use, and well-being in the process. This study proposes that facilitating IBMS use for older adults in the development and design of internet technology programs should be considered in order to provide them with benefits. Moreover, paying attention to peer support among older adults plays an important role in the acceptance of new technologies and improving their well-being. The “peer support” of this study expanded and contributed to the research on the impact on older adults’ well-being and the construction of a technology acceptance model. The peer support in this study extended the influence factor of eudaimonic well-being and contributed to the further development of the TAM.

Accumulating evidence has proved that autophagy serves as a tumor promoter in formed malignancies, and the autophagy-related prognostic signatures have been constructed as clinical tools to predict prognosis in many high-mortality cancers. Autophagy-related genes have participated in the development and metastasis of hepatocellular carcinoma (HCC), but the understanding of their prognostic value is limited. Thereafter, LIMMA and survival analysis were conducted in both ICGC and TCGA databases and a total of 10 hub autophagy-related genes, namely, NPC1, CDKN2A, RPTOR, SPHK1, HGS, BIRC5, SPNS1, BAK1, ATIC, and MAPK3, were collected. Then, GO, KEGG, correlation, consensus, and PCA analyses were utilized to reveal their potential targeted role in HCC treatment. Single-cell RNA-seq of cancer stem cells also indicated that there was a positive correlation between these genes and stemness. In parallel, we applied univariate, LASSO, and multivariate regression analyses to study the autophagy-related genes and finally proposed that ATIC and BIRC5 were the valuable prognostic indicators of HCC. The signature based on ATIC and BIRC5 exhibited moderate power for predicting the survival of HCC in the ICGC cohort, and its efficacy was further validated in the TCGA cohort. Taken together, we suggested that 10 aforementioned hub genes are promising therapeutic targets of HCC and the ATIC/BIRC5 prognostic signature is a practical prognostic indicator for HCC patients.

Background: How did older adults who had to use online medical service during the COVID-19 pandemic bridge the “digital divide”? Taking Internet-based appointment service (IBAS) as an example, this study aimed to investigate the subjective feelings of older adults and evaluate their user-satisfaction.Methods: This study was based on data from a questionnaire survey involving 325 outpatients 60 years old in shanghai during the COVID-19 pandemic. The satisfaction of IBAS was evaluated and compared from six domains including convenience, visiting time, correct identification of specialists, on-site assist service, COVID-19 prevention, and privacy protection. Logistic regression analysis was used to investigate the correlation between satisfaction and social factors.Results: No significant difference between older adults with or without previous experience using IBAS in terms of overall satisfaction. In the domain of operation difficulty (81.9 vs. 97.5%) and precise medicine (88.1 vs. 96.9%), such as correctly identifying the specialist, the satisfaction of previous user group was significantly higher than that of first-time user group. However, there was no significant difference in the remaining four domains between the two groups. Among the first time IBAS users, the satisfaction was higher than the walk-in registration they used before. Logistic regression revealed that some “intention to use IBAS”-associated social factors such as distance from the hospital, living status, and frequency of hospital visit, were related to the satisfaction of older adults.Conclusions: Driven by the external pandemic and internal intention, older adults would choose and manage network medical resources with their high satisfaction, which essentially demonstrates not only behavioral adjustment but also inner acceptance in older adults. Our findings support the need for promoting the driving force of older adults in using Internet-based medical service as well as transforming the design factors and behavior patterns.

Background: Hyperbaric oxygen treatment (HBOT) is clinically used to improve oxygen supply to hypoperfused tissues under certain conditions. HBOT can decrease the incidence of autoimmune diabetes in nonobese diabetic mice by reducing apoptosis and increasing β ‐cell proliferation. HBOT ameliorates glucose tolerance in Type 2 diabetes (T2D) mellitus patients, but the underlying mechanism needs further investigation. Methods: We used a diet‐induced T2D mouse model and a genetic mouse model (ob/ob mice) to evaluate the effects of HBOT on serum glucose levels in mice. The body weights and blood glucose levels of the mice were measured weekly. An oral glucose tolerance test (OGTT) was performed 12 weeks after the start of the experiment. All the mice were euthanized, and the serum and liver tissues were collected to test the total cholesterol, triglycerides, alanine aminotransferase, aspartate aminotransferase, malondialdehyde, and antioxidant enzymes. Results: Our results demonstrated that HBOT can delay/attenuate the onset of diet‐associated T2D in wild‐type mice. However, HBOT had no significant effects on blood glucose or T2D incidence in ob/ob mice. Furthermore, we found that HBOT improved glucose tolerance and liver steatosis in diet‐induced T2D model mice but not in ob/ob mice. Our results indicated that the effects of HBOT on T2D were dependent at least partly on the presence of leptin. Conclusion: Our study offers a rationale for using serum leptin as a predictor of clinical outcomes of HBOT and elucidates possible reasons why many patients may experience HBOT failure.

Background: Hepatocellular carcinoma (HCC) remains a common malignant tumor with high morbidity and mortality. Junctional protein associated with coronary artery disease (JCAD), a cell junction-related protein, plays critical roles in multiple pathological processes. However, the prognostic value of JCAD in HCC, particularly its correlation with immune cell infiltration, remains unclear. Methods: We comprehensively analyzed the biological characteristics of JCAD in HCC using multiple databases and tools. These included The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Genotype-Tissue Expression (GTEx), the KM-Plotter platform, and Xiantao Academic tools. Systematic evaluations were performed to assess its protein expression profile, prognostic value, functional enrichment, and immune cell infiltration. Based on TCGA data, we explored correlations between JCAD expression and immune cell infiltration levels. We also assessed whether the impact of JCAD expression on HCC prognosis is partially mediated through immune infiltration. Furthermore, immunohistochemistry assessed JCAD expression in 102 pairs of human HCC and adjacent normal tissues, followed by analysis of its associations with clinicopathological features and disease-free survival (DFS). Results: Bioinformatics analysis revealed that patients with high JCAD expression had poorer overall survival and showed correlations with gender, tumor stage, and differentiation grade. Notably, JCAD expression was correlated with immune cell infiltration levels, and its association with HCC survival appeared to be partially mediated through immune-related pathways. Clinical validation confirmed JCAD upregulation in 44.1% of HCC tissues. High JCAD expression was significantly associated with portal vein tumor thrombosis and reduced DFS. Kaplan-Meier analysis showed that patients with high JCAD expression had significantly shorter DFS (log-rank p = 0.0012), with lower 1- and 3-year DFS rates compared to the low-expression group. ROC curve analysis indicated that JCAD has modest predictive power for DFS, with an AUC of 0.695 (0.592-0.798). Conclusion: Elevated JCAD expression may serve as a prognostic biomarker for HCC patients, potentially through immune-related mechanisms. By integrating bioinformatics analysis with clinical validation, this study provides novel evidence supporting the role of JCAD in HCC prognosis and its potential association with immune regulation.