BACKGROUND:The repair process of myocardial injury involves complex cellular and molecular mechanisms,especially mitochondrial calcium homeostasis,macrophage autophagy and pyroptosis pathways.Traditional Chinese medicine(TCM)has shown significant clinical efficacy in improving myocardial injury,but its mechanism of action needs to be thoroughly investigated. OBJECTIVE:To investigate the role of mitochondrial calcium homeostasis-mediated macrophage autophagy and pyroptosis pathways in myocardial injury,and to summarize the progress of TCM in this field. METHODS:A computerized search was performed for relevant literature from the database inception to March 2024 in the Web of Science,PubMed and CNKI.The search terms were"mitochondrial calcium homeostasis,macrophage autophagy,macrophage pyroptosis,traditional Chinese medicine,myocardial injury,myocardial injury reperfusion"in Chinese and English.Through literature review,we analyzed the relationship between mitochondrial calcium homeostasis and macrophage autophagy and pyroptosis,explored the mechanism of their roles in myocardial injury,and summarized the pathways of multi-targeted,multi-pathway effects of TCM. RESULTS AND CONCLUSION:The maintenance of mitochondrial calcium homeostasis has been found to be closely related to the normal function of cardiomyocytes.Macrophages can participate in the repair process of myocardial injury through autophagy and pyroptosis pathways.Autophagy contributes to cell clearance and regulation of inflammatory response,while pyroptosis affects myocardial repair by releasing inflammatory factors.TCM regulates mitochondrial calcium homeostasis and macrophage function through multiple mechanisms.For example,astragalosid regulates calcium homeostasis by lowering mitochondrial membrane potential and inhibiting cytochrome C,and epimedium glycoside plays a role in reducing β-amyloid deposition.In addition,herbal compounds and single drugs promote myocardial repair by activating or inhibiting specific signaling pathways,such as PI3K/AKT and nuclear factor-κB signaling pathways.Future studies should focus on the interactions between mitochondrial calcium homeostasis,autophagy and pyroptosis pathways,as well as how TCM can exert therapeutic effects through these pathways to provide new strategies and drugs for the treatment of myocardial injury.

OBJECTIVES: To establish a prognostic model for primary liver cancer (PLC) using bioinformatics methods. METHODS: Based on the data from 404 patients in the Cancer Genome Atlas (TCGA) database, we constructed a prognostic model integrating the differentially expressed genes, anoikis, and immune-related genes (DAIs) using univariate Cox regression and the LASSO-Cox approach. The predictive ability of the model was evaluated using Kaplan-Meier method and receiver-operating characteristic curves, and a nomogram was developed to facilitate its clinical applications. Gene set enrichment analysis (GSEA) was performed to explore the associated pathways and relationship between the DAIs and the tumor immune microenvironment, and the half-maximal inhibitory concentration (IC₅₀) of liver cancer drugs was calculated using the "pRRophetic" R package. We also detected the expression of SEMA7A in paired tumor and adjacent tissues from liver cancer patients. RESULTS: We constructed and validated a prognostic model based on 7 DAIs (NR4A3, SEMA7A, IL11, AR, BIRC5, EGF, and SPP1), and obtained consistent results in both the TCGA training cohort and GEO validation cohort (GSE14520), where the patients in the low-risk group were characterized by more favorable clinical outcomes and immune status. By integrating this prognostic signature with clinical information, a composite nomogram was generated. Somatic mutation analysis showed that TTN, TP53, and CTNNB1 mutations accounted for the largest proportion of total mutations, and the patients in the low-risk-low-TMB group had higher survival rate. Drug sensitivity analysis revealed differences in sensitivity to chemotherapeutic agents between high- and low-risk groups and between TP53 mutations and non-mutations. In clinical tissue specimens, SEMA7A expression was significantly higher in liver cancer tissues than in the adjacent tissues. CONCLUSIONS We established a new prognostic model based on DAIs for predicting clinical outcomes and therapeutic response of patients with primary liver cancer.
Humans ; Liver Neoplasms/diagnosis* ; Prognosis ; Anoikis ; Nomograms ; Computational Biology ; Tumor Microenvironment ; Semaphorins/metabolism*

Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Pancreatic cancer is a common malignant tumor in the digestive tract, and the difficulty of early diagnosis and the lack of effective treatment means are the main reasons for the poor prognosis of pancreatic cancer. In recent years, multidisciplinary treatment (MDT) has become an important means to break through the bottleneck of diagnosis and treatment of pancreatic cancer and improve clinical prognosis. Besides providing patients with high-quality diagnosis and treatment services, this treatment model helps to improve the clinical diagnosis and treatment level of specialists and cultivate high-quality compound medical talents. It also highlights clinical research groups and high-quality case resource sharing, and promotes the clinical application of innovative drugs and new diagnostic and therapeutic technologies, which plays an essential role in increasing the core competence of hospitals. This paper reviews and summarizes the origin, status quo, and deficiencies of the MDT diagnosis and treatment model of pancreatic cancer in China, and examines the prospects for future development, with the aim to provide reference for domestic and foreign counterparts.

To investigate the differences in postoperative short-term complications and long-term prognosis of pancreatic cancer(PC) patients after total pancreatectomy(TP) and pancreaticoduodenectomy(PD).

Objective To compare the application of main concept analysis(MCA)and story narration as-sessment(SNA)in aphasia discourse assessment,and study their clinical applicability.Methods A total of 8 apha-sic and 22 healthy control subjects were recruited.Local sequential picture materials were used to elicit language samples.The differences between groups in the assessment results of the MCA and the SNA were compared,the consistency of the assessment results of the two methods were also analyzed.The inter-rater and the intra-rater reli-ability of the two methods was discussed.Results The results of the MCA showed that the number of accurate and complete(AC)main concepts(P＜0.01),the number of accurate and complete main concepts per minute(AC/min)(P＜0.05)and main concept scores(MC scores)(P＜0.05)of the aphasia group were significantly lower than those of the healthy group.The number of absent(AB)main concepts(P＜0.05)were significantly higher than those of the control group.As for the result of SNA,the score of the content of sub picture description(P＜0.05),the total score of sub picture description(P＜0.05)and the total score of overall description(P＜0.05)in the aphasia group were significantly less than those in the control group(P＜0.05).No significant difference be-tween the standardized scores of the two methods were observed,and inter-rater and the intra-rater reliability were both in a good range.Conclusion The clinical applicability of the two methods is excellent and the evaluation results are conststent.The MCA has outstanding advantages in evaluating the quality and quantity of information,while SNA examines the syntax and content organization,which can reflect the overall discourse performance.

Hepatic fibrosis （HF） is a pathological process of abnormal repair of liver tissue structure caused by chronic liver injury， and its pathogenesis has not been fully clarified. Related studies have shown that programmed cell death may be associated with the onset of HF， and traditional Chinese medicine （TCM） has a significant effect in regulating programmed cell death to intervene against HF. This article reviews the main mechanism of the influence of programmed cell death on HF and discusses the possible mechanism of TCM regulation of programmed cell death in improving HF， which provides new ideas for TCM prevention and treatment of HF.

With the continuous development of China's economy,the people expect for higher quality medical services,and medical humanistic care is increasingly emphasized.Under this background,the"Duplex Linkage Mode",which integrates medical social workers and volunteers,has emerged.This paper reviews the current state of applying the mode in China,ex-pounds its benefits,and details its application within hospital services.This application covers guidance for outpatient and emer-gency department,inpatient ward services,hospice care,and community residents volunteer services.In addition,this paper proposes suggestions on furth for optimizing recruitment and training programs,improving management systems,establishing intel-ligent management systems,and improving volunteer support mechanisms.These measures aim to promote the sustainable and healthy development of medical humanistic services and to support the implementation of the Healthy China Initiative.

Objective:To explore the influencing factors of clinical nurses in general hospitals to carry out hospice care under hospice shared care model, and further improve the quality of hospice care in general hospitals under this mode.Methods:Using the descriptive phenomenological research method, 13 clinical nurses from Sir Run Run Shaw Hospital Affiliated to Medical School of Zhejiang University were selected by purposive sampling from June to September 2023. Semi-structured interviews were conducted based on the capacity opportunity-motivation-behavior model, and Colaizzi′s 7-step analysis method was used to summarize and refine the theme.Results:There were 3 males and 10 females, aged 24-38 years old. Three themes and 11 sub-themes were extracted in this study: ability factors (theoretical knowledge cannot meet clinical needs, lack of clinical practice ability, insufficient self emotional regulation ability), motivation factors (willingness to carry out hospice shared care model, sense of professional benefit, professional identity, perception of care pressure, hospice care self-efficacy), opportunity factors (the influence of Confucian culture, systematic construction of hospice shared care model in hospitals, and multiple external support).Conclusions:Nurses' hospice care under hospice shared care model is affected by internal and external factors. Nurses can learn through multiple channels, find positive work experience, and use multi-dimensional support system to provide high-quality hospice care services for patients.