BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Objective:To understand the tobacco use situation and related factors among the occupational population in Beijing in 2018.Methods:The data were obtained from a special survey on “Healthy Beijing People—Ten-year Action Plan for Health Promotion (2009—2018)”. From June to September 2018, 12 908 participants were recruited from 16 districts of Beijing using the stratified sampling method combined with the typical sampling method. Questionnaires were conducted to collect basic information, work situations, tobacco exposure in public places, and smoking cessation. The Chi-square test was used to compare the differences in current smoking rates, smoking cessation rates and second-hand smoke exposure rates among participants with different characteristics. Multivariate logistic regression analysis was used to analyze the related factors of tobacco use.Results:The present smoking rate of the occupational population in Beijing was 18.0% (95% CI: 17.3%-18.7%), and the passive smoking exposure rate of non-smokers was 61.0% (95% CI: 60.1%-61.9%). The smoking cessation rate among the working population was 22.2% (95% CI: 20.7%-23.7%), and the proportion of current smokers with the intention to quit was 63.9% (1 485/2 325). The present smoking rate of employees of different genders, ages, education levels and occupational nature showed statistically significant differences ( P<0.05). The results of multivariate logistic regression analysis showed that in males, compared with the age group of 16-29 years old, the risk of smoking increased in the age groups of 30-39 years old, 40-49 years old and over 50 years old [ OR (95% CI) values were 1.49 (1.27-1.74), 1.34 (1.13-1.59) and 1.30 (1.06-1.59)]. Compared with those with junior high school or lower education, participants with high school/vocational/college education group had a higher risk of smoking ( OR=1.38, 95% CI: 1.13-1.69), while those with master′s degree or above had a lower risk of smoking ( OR=0.30, 95% CI: 0.22-0.42). The physical workers ( OR=1.28, 95% CI: 1.11-1.47) had a higher risk of smoking than the mental workers. Conclusion:The current smoking rate among the occupational population in Beijing is lower than the national level during the same period, but the exposure rate to second-hand smoke is relatively high. Age, educational level, job nature and gender are related factors of smoking.

Objective To explore the applicative value of blue Laser imaging combined with magnifying endoscope(BLI+ME)system for the lesion of esophagogastric junction(EGJ).Methods Retrospective study endoscopic and pathological reported during February 2022 to February 2024.6 803 patients who met the inclusion and exclusion criteria were enrolled.They were divided into BLI+ME group(2 931 cases)and white light imaging group(WLI group,3 872 cases)according to the different gastroscopy types used in the examination.Finally,the EGJ biopsy rate,positive biopsy rate,detection rate of various lesions and early diagnosis rate between the two groups were compared.Results The biopsy rate of the BLI+ME group was 27.60%,the positive biopsy rate was 68.73%,and the detection rate of all the lesions was 20.74%,the detection rate of non-cancerous lesions was 20.30%,the detection rate of early cancer was 0.10%,the detection rate of non-cancerous lesions above the dentate line was 5.53%,the detection rate of non-cancerous lesions below the dentate line was 14.77%,the detection rate of cancerous lesions below the dentate line was 0.27%,significantly higher than those of the WLI group,which the biopsy rate was 17.74%,the positive biopsy rate was 60.26%,and the detection rate of all the lesions was 11.90%,the detection rate of non-cancerous lesions was 11.67%,the detection rate of early cancer was 0.00%,the detection rate of non-cancerous lesions above the dentate line was 3.49%,the detection rate of non-cancerous lesions below the dentate line was 8.19%,the detection rate of cancerous lesions below the dentate line was 0.05%,the differences were statistically significant(P＜0.05).Conclusion The BLI+ME system can enhance the biopsy rate,positive biopsy rate,the detection rate of all the lesions,early cancer detection rate,non-cancerous lesions detection rate above and below the dentate line,and cancerous lesions detection rate below the dentate line at the EGJ.It is helpful to improve the early diagnosis rate and early treatment rate of EGJ.It is worthy of clinical application.

Objective To evaluate the value of multimodal brain function monitoring using quantitative electroencephalography(QEEG)and transcranial Doppler(TCD)in predicting hematoma enlargement and prognosis in patients with acute hypertensive intracerebral hemorrhage.Methods A retrospective analysis was conducted on the clinical data of 120 patients with acute hypertensive intracerebral hemorrhage from October 2019 to October 2022.All patients underwent QEEG and TCD examinations within 24 hours of admission,and were divided into hematoma enlargement group(79 cases)and hematoma stabilization group(41 cases)based on whether the hema-toma had expanded.By comparing the parameter differences of QEEG and TCD between two groups,explore the correlation between these monitoring indicators and hematoma enlargement and patient prognosis.Results The patients in the hematoma enlargement group had a higher average age and a higher smoking rate.The initial neuro-logical damage in the hematoma enlargement group was more severe.The DAR and DTABR values of the hematoma enlargement group were significantly higher than those of the stable group at different time points after cerebral hemorrhage(P<0.05).Correlation analysis shows that DAR,DTABR,and P1 have significant positive correla-tions with hematoma enlargement,with DAR and DTABR showing particularly strong correlations(r values of 0.774 and 0.738,respectively,P<0.05),while P1 has relatively weak correlations(r=0.213,P<0.05).ROC curve analysis shows that DAR,DTABR,and P1 parameters have high sensitivity and specificity in predicting hematoma enlargement,with an AUC value of up to 0.970 for DAR.During the follow-up period,the MRS scores of the stable hematoma group were significantly better than those of the hematoma expansion group at all time points(P<0.05).Conclusion QEEG and TCD are helpful in early identification of high-risk patients,enabling more targeted treatment measures and improving clinical outcomes for patients.

Objective To explore the relationship between PANoptosis and hepatic ischemia-reperfusion injury (HIRI), and to screen the key genes of PANoptosis in HIRI. Methods PANoptosis-related differentially expressed genes (PDG) were obtained through the Gene Expression Omnibus database and GeneCards database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the biological pathways related to PDG. A protein-protein interaction network was constructed. Key genes were selected, and their diagnostic value was assessed and validated in the HIRI mice. Immune cell infiltration analysis was performed based on the cell-type identification by estimating relative subsets of RNA transcripts. Results A total of 16 PDG were identified. GO analysis showed that PDG were closely related to cellular metabolism. KEGG analysis indicated that PDG were mainly enriched in cellular death pathways such as apoptosis and immune-related signaling pathways such as the tumor necrosis factor signaling pathway. GSEA results showed that key genes were mainly enriched in immune-related signaling pathways such as the mitogen-activated protein kinase (MAPK) signaling pathway. Two key genes, DFFB and TNFSF10, were identified with high accuracy in diagnosing HIRI, with areas under the curve of 0.964 and 1.000, respectively. Immune infiltration analysis showed that the control group had more infiltration of resting natural killer cells, M2 macrophages, etc., while the HIRI group had more infiltration of M0 macrophages, neutrophils, and naive B cells. Real-time quantitative polymerase chain reaction results showed that compared with the Sham group, the relative expression of DFFB messenger RNA in liver tissue of HIRI group mice increased, and the relative expression of TNFSF10 messenger RNA decreased. Cibersort analysis showed that the infiltration abundance of naive B cells was positively correlated with DFFB expression (r=0.70, P=0.035), and the infiltration abundance of M2 macrophages was positively correlated with TNFSF10 expression (r=0.68, P=0.045). Conclusions PANoptosis-related genes DFFB and TNFSF10 may be potential biomarkers and therapeutic targets for HIRI.

The global distribution of medical resources is uneven and organ shortages are becoming increasingly serious. ASEAN countries have been working hard to explore and promote local organ transplantation in order to alleviate the serious imbalance between organ donation and organ transplantation needs. However, the development of cadaveric organ donation varies among ASEAN countries, and the cadaveric organ donation rate in most countries is generally low. Since 1991, China and ASEAN have evolved from dialogue to strategic cooperation, then to a community with a shared future, and further to a comprehensive strategic partnership, all demonstrating broad prospects for cooperation. This article analyzes the current situation and challenges of organ donation and transplantation in ASEAN countries, combining field visits and its own experience, and proposes strategies for strengthening international cooperation, optimizing policy environment, enhancing technical capabilities, and increasing public awareness in the field of organ donation and transplantation under the China-ASEAN development strategy framework. The aim is to build a more equitable, efficient, and sustainable organ donation and transplantation system, contributing to the realization of global public health security and a community of common health for mankind.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Objective To evaluate the value of multimodal brain function monitoring using quantitative electroencephalography(QEEG)and transcranial Doppler(TCD)in predicting hematoma enlargement and prognosis in patients with acute hypertensive intracerebral hemorrhage.Methods A retrospective analysis was conducted on the clinical data of 120 patients with acute hypertensive intracerebral hemorrhage from October 2019 to October 2022.All patients underwent QEEG and TCD examinations within 24 hours of admission,and were divided into hematoma enlargement group(79 cases)and hematoma stabilization group(41 cases)based on whether the hema-toma had expanded.By comparing the parameter differences of QEEG and TCD between two groups,explore the correlation between these monitoring indicators and hematoma enlargement and patient prognosis.Results The patients in the hematoma enlargement group had a higher average age and a higher smoking rate.The initial neuro-logical damage in the hematoma enlargement group was more severe.The DAR and DTABR values of the hematoma enlargement group were significantly higher than those of the stable group at different time points after cerebral hemorrhage(P<0.05).Correlation analysis shows that DAR,DTABR,and P1 have significant positive correla-tions with hematoma enlargement,with DAR and DTABR showing particularly strong correlations(r values of 0.774 and 0.738,respectively,P<0.05),while P1 has relatively weak correlations(r=0.213,P<0.05).ROC curve analysis shows that DAR,DTABR,and P1 parameters have high sensitivity and specificity in predicting hematoma enlargement,with an AUC value of up to 0.970 for DAR.During the follow-up period,the MRS scores of the stable hematoma group were significantly better than those of the hematoma expansion group at all time points(P<0.05).Conclusion QEEG and TCD are helpful in early identification of high-risk patients,enabling more targeted treatment measures and improving clinical outcomes for patients.

Objective:To analyze the association between moderate-to-vigorous-physical activity (MVPA) and obesity, poor sleep quality, as well as multimorbidity in 7- to 8-year-old children in Shanghai City.Methods:From September to November 2023, a cluster sampling method was used to select second-grade students from four primary schools in Jinshan District, Shanghai. Three-axis acceleration motion sensors (GT3X+, Acti-graph) were used to monitor daily physical activity for seven consecutive days. A multivariate logistic regression model was used to analyze the association between MVPA duration characteristics and obesity, poor sleep quality and multimorbidity in school-age children.Results:Of the 937 study participants, 512 (54.64%) were boys and 425 (45.36%) were girls. Among them, 89 (9.50%) were obese and 782 (83.46%) had poor sleep quality. A total of 77 cases (8.22%) were affected by obesity and poor sleep quality. The average daily MVPA time was (45.97±15.87) minutes, and the MVPA attainment rate was 17.18%. The multivariate logistic regression model analysis showed that, after adjusting for covariates, the daily average MVPA time was negatively associated with the risk of obesity ( OR=0.982, 95% CI: 0.968-0.997), as well as multimorbidity ( OR=0.981, 95% CI: 0.965-0.997). The risk of obesity, poor sleep quality and multimorbidity in <1 d was 2.228 ( OR=2.228, 95% CI: 1.398-3.549), 1.702 ( OR=1.702, 95% CI: 1.141-2.540) and 2.150 ( OR=2.150, 95% CI: 1.310-3.528) times higher than that in ≥1 d. Conclusion:Obesity, poor sleep quality and multimorbidity of school-age children are closely related to the level of moderate-to-vigorous physical activity.

Objective To establish a prognostic model that predicts the survival and prognosis of gastric adenocarcinoma patients by studying the LncRNAs related to iron death in gastric cancer cells,thereby providing a theoretical basis for the development of their biomarkers and therapeutic targets.Methods The transcript sequencing data of gastric adenocarcinoma patients in the TCGA database were analyzed and intersected with iron death-related genes,which were screened for iron death-related LncRNAs by co-expression and differential analysis methods.One-way and multifactorial Cox regression analyses were used to screen out the prognostic-related LncRNAs in gastric adenocarcinoma patients,so as to establish the prognostic scoring models.On this basis,risk values were calculated for each sample,and the reliability of the model was fully verified.According to the model results,differences in the immune infiltration and immune response between the high-and low-risk groups were analyzed.Results Tumor tissues were screened for 503 LncRNAs(431 up-regulated and 72 down-regulated)associated with iron death compared to the normal tissues;univariate Cox regression analysis yielded 33 LncRNAs that could be used as the independent risk factors,whereas multivariate Cox regression analysis constructed a predictive model consisting of 17 LncRNAs.Survival curves indicated that patients with the high risk had the significantly lower survival rates than those with the low risk(P<0.001).Unifactorial and multifactorial independent prognostic analyses showed that age,stage,and risk value were independent risk factors for patients;Time-dependent ROC curves suggested that the predicted AUC values of the model's 1-,2-,and 3-year survival rates were 0.751,0.799,and 0.779 respectively,proving that the model was reliable and stable.There were significant differences in multiple immune activation responses,the degree of immune cell infiltration,and the expression levels of immune check points between the high-and low-risk groups.Conclusion The established prognostic prediction model based on iron death-related lncRNAs for gastric adenocarcinoma patients can better assess the prognosis of patients,and the lncRNAs included in the model have the feasibility of being developed into biomarkers and therapeutic targets.