Objective To quantitatively assess the exposure-response association between exposure to heatwave and sudden death, estimate the attributable excess deaths, and identify potential vulnerable subgroups. Methods A time-stratified case-crossover study was conducted among residents who died from sudden death in Jiangsu Province, China between 2015 and 2021. Heatwave events in Jiangsu Province, defined using varying relative temperature thresholds and durations, were identified using temperature data from the China Meteorological Administration Land Data Assimilation System (CLDAS V2.0). Individual heatwave exposure was assessed based on each subject's residential address. The exposure-response association between heatwave and sudden death was evaluated using conditional logistic regression model combined with a Distributed Lag Nonlinear Model(DLNM). Heatwave-attributable excess deaths were estimated. Stratified analyses by sex and age were performed to assess potential effect modifications. Results Under all definitions, exposure to heatwave was significantly associated with an increased risk of sudden death, and the risk increased with the intensity of heatwave. Using the P95_3d definition (temperature exceeding the 95th percentile for ≥3 consecutive days), heatwave was significantlyassociated with a 56% increased risk of sudden death (95% CI: 31%, 86%). The population-attributable fraction of sudden death due to heatwave exposure was 1.45% (95% CI: 0.97%, 1.90%). Stratified analyses indicated no statistically significant differences in the association between heatwave exposure and sudden death across age or sex subgroups. Conclusion Heatwave exposure was associated with an increased risk of sudden death. Reducing heatwave exposure during summer may help lower the occurrence of sudden death.

Objective: To explore the association between nap duration with anxiety and depressive symptoms among junior high school students, in order to provide evidence for mental health interventions for adolescents. Methods: From May to June 2022, a combination of convenience sampling and cluster sampling was used to select 2 491 students from 2 junior high schools in Haizhu District, Guangzhou City for questionnaire survey and physical examination. The questionnaire collected nap duration, night time sleep duration, bedtime, physical activity, and sedentary behavior. Anxiety and depressive symptoms were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. Log-binomial regression model was used to analyze the association of nap duration with anxiety and depressive symptoms, as well as comorbidity among junior high school students, and a restricted cubic spline (RCS) Log-binomial regression model was employed to analyze the non linear relationship after adjusting for covariates. Results: The detection rates of anxiety symptoms, depressive symptoms and comorbidity among junior high school students were 13.29%,14.65%,9.19%. After adjusting for covariates such as age, gender and nighttime sleep duration, compared with a school day nap duration of <30 min/d, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.68, 95% CI =0.49-0.98) and comorbidity ( APR =0.56, 95% CI =0.39-0.87)(both P < 0.05 ). Compared with no napping on weekends, a nap duration of 30-<60 min/d was associated with a reduced risk of anxiety symptoms ( APR =0.62, 95% CI =0.41-0.88), depressive symptoms ( APR =0.52, 95% CI =0.34-0.75) and comorbidity ( APR = 0.52 , 95% CI =0.30-0.83)(all P <0.05). RCS curves showed a nonlinear relationship between weekend nap duration and the prevalence of anxiety, depressive symptoms and comorbidity among junior high school students(all P non linear <0.05); weekend nap duration of <120 min was associated with a lower risk of anxiety and depressive symptoms, and weekend nap duration of >180 min was associated with an increased risk. Conclusions Appropriate nap duration can help reduce the risk of anxiety, depressive symptoms, and the comorbidity among junior high school students. Adolescents should be guided to reasonably arrange nap duration for promoting physical and mental health.

OBJECTIVE To establish a hospital preparation cost item library， providing a reference for the refined accounting management of preparation costs in medical institutions. METHODS Based on literature analysis and practical work experience， a preliminary list of cost items was drafted. The Delphi method was employed to screen and optimize the items by analyzing the questionnaire recovery rate， expert authority coefficient， item importance score， coefficient of variation， and Kendall’s W of concordance. RESULTS The questionnaire recovery rates for the two rounds of expert consultation were 95.7% and 100%， respectively； the expert authority coefficients were 0.937 and 0.939， respectively； Kendall’s W of concordance were statistically significant （ P ＜0.001）. The finally established hospital preparation cost item library included 6 first-level items （such as raw material and packaging material costs， human resource costs， and production operation costs） and 29 second-level items （including main drug raw material costs， production personnel compensation， and finished product full-item testing costs）， comprehensively covering dimensions such as raw materials and packaging materials， fixed asset depreciation and equipment maintenance， human resources， production operations， energy and environment， and R & D and other costs. CONCLUSIONS This study successfully establishes a scientific and reliable cost item library for medical institution preparations， which can guide institutions to itemize actual expenditures， provide structured evidence for autonomous pricing， and support data needs for the formulation of insurance access and payment policies for innovative preparations.

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.

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.

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: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Congenital generalized lipodystrophic diabetes(CGLD) is a rare form of diabetes caused by the genetic defects affecting insulin action. This article describes two cases of CGLD within a family. The patients, siblings, exhibited systemic fat atrophy, severe hypertriglyceridemia, insulin resistance and hepatomegaly. Genetic analysis revealed a shared homozygous nonsense mutations in the BSCL2 gene c. 757G>T: p.E253*. Case 1(elder brother) presented with more severe hypertriglyceridemia, pronounced microvascular complications of diabetes, and abnormalities in bone metabolism. In contrast, Case 2(younger brother) demonstrated lower body fat content and reduced limb muscle strength. Despite sharing the same pathogenic mutation, the siblings displayed notable differences in clinical presentation, underscoring the phenotypic heterogeneity of CGLD. These findings highlight the importance of recognizing variable clinical manifestations in CGLD. Endocrinologists should consider this heterogeneity to ensure accurate diagnosis and tailored treatment strategies for affected individuals.

OBJECTIVE To establish a preparation method for Phellodendrine-11-O-β-D-glucuronide(M1),a metabolite of Phellodendrine(PHE),and to evaluate its regulatory effects on glycolipid metabolism disorder in insulin-resistant HepG2(IR-HepG2)cells.METHODS The preparation,extraction,separation,purification and identification of M1 were completed by in vitro incuba-tion of intestinal microsomes combined with liquid phase,mass spectrometry and NMR.With Metformin as positive control,IR-HepG2 cells were treated with low(25 μmol·L-1),medium(50 μmol·L-1)and high(100 μmol·L-1)doses of M1 for 24 h.Glucose con-sumption,glucose uptake,triglyceride(TG),total cholesterol(TC),high density lipoprotein cholesterol(HDL-C)and low density lipoprotein cholesterol(LDL-C)were quantified.The binding ability of M1 to the key targets INSR,IRS1,PI3K and AKT2 in the IRS1/PI3K/AKT pathway was explored through molecular docking technology.The effects of M1 on the mRNA and protein expression of these key targets in the IRS1/PI3K/AKT pathway were detected by qPCR and Western blot,respectively.RESULTS The purified product was confirmed by NMR as Phellodendrine-11-O-β-D-glucuronide(95%purity).Compared to the model group,all M1 do-ses significantly enhanced glucose consumption(P<0.01,P<0.001)and uptake(P<0.001)in IR-HepG2 cells,outperforming PHE(P<0.001).At medium and high doses,it could significantly reduce the content of TG and TC in cells(P<0.001),and its improve-ment effect at the TG level was better than that of PHE(P<0.01);while all concentrations decreased LDL-C(P<0.001)and in-creased HDL-C(P<0.01,P<0.001).Molecular docking revealed strong binding interactions between M1 and INSR,IRS1,PI3K,and AKT2.Compared with the model group,M1 administration group increased the expression of INSR,IRS1,PI3K,AKT2,and GLUT2 mRNA to varying degrees,downregulated the protein expression of p-IRS1/IRS1(P<0.001),and upregulated the protein ex-pression of PI3K,p-AKT/AKT,and p-GSK3β/GSK3β.CONCLUSION The established protocol enables high purity M1 prepara-tion.M1 alleviates IR by regulating IRS1/PI3K/AKT signaling pathway to improve the disorder of glycolipid metabolism.

This article explores the construction and practice of the"Party Building+Health Science Popularization"model,using the"Yixian Health Science Popularization Guangdong Tour"campaign conducted by Sun Yat-sen Memorial Hospital as a case study.The initiative has achieved remarkable results.Additionally,it summarizes innovative measures,as well as uni-versal and exemplary experiences,providing new insights and pathway recommendations for public hospitals to develop the"Party Building+Health Science Popularization"model.