Objective To investigate the existing nuclear radiation health emergency response capacity of local health systems at nuclear power plant sites in Guangdong Province. Methods The health administrative departments of all nuclear power plants sites in Guangdong Province, along with radiation health protection institutions, designated nuclear radiation treatment hospitals, and township health centers, were selected as the study subjects using the purposive sampling method. A series of standardized questionnaires on the capacities for nuclear radiation health emergency response, developed uniformly by the National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, were adopted to separately investigate the capacities for nuclear radiation health emergency response in the study subjects. Results There were 13 health administration departments, 15 radiological health protection institutions, 18 designated hospitals for nuclear radiation medical response, and 18 township health centers located in the nuclear power plants sites in Guangdong Province. Among the 13 health administration departments, the Health Commission of Guangdong Province met all 15 criteria for nuclear radiation health emergency response capacities. All six prefecture-level health administrative departments possessed more than 10 capacities for nuclear radiation health emergency response, while only one of the six county-level departments had more than 10 such capacities. Among radiation health protection institutions, the provincial-level institution possessed all 18 capacity for nuclear radiation health emergency response; of the six prefectural-level institutions, only four had more than 10 capacities; none of the eight county-level institutions or 18 township health centers possessed more than 10 capacities. Among designated nuclear radiation treatment hospitals, provincial-level institution met all 32 capacities for nuclear radiation health emergency response; of the eight prefecture‑level hospitals, only four meet more than ten such capacities; and of the nine county‑level hospitals and 18 township health centers, none possess more than 10 capacities. Conclusion Provincial- and prefectural-level nuclear radiation emergency capacity in Guangdong Province is adequate, whereas county-level and township health centers have obvious weaknesses in organizational structure, personnel training, equipment reserves, funding, and technical reserves; emergency response capacity needs urgent enhancement.

Objective​ To analyze the current status of nuclear radiation health emergency response capacity in areas of the nuclear power plants in Guangdong Province, and to formulate a construction plan for municipal-level nuclear radiation health emergency response teams. Methods Provincial-, municipal-, and county-level administrative regions in the nuclear power plant host areas of Guangdong Province were selected as the study subjects. A series of questionnaires designed by the National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention, were used to assess the capacity of nuclear radiation health emergency response. Based on the findings, a construction plan for municipal-level nuclear radiation health emergency response teams was formulated. Results A total of 13 administrative regions which host nuclear power plants were involved, including one provincial-level, six municipal-level, and six county-level regions. The availability rates of 31 capacity indicators of nuclear radiation health emergency response among 13 administrative regions ranged from 15% to 100%, with an average of 51%. Provincial-level capacity of nuclear radiation health emergency response was relatively well established, county-level radiation monitoring and protection capacity was nearly absent, municipal-level regions possessed basic capacity, but with obvious regional disparities and a general lack of specialized facilities and materials required for the treatment of nuclear radiation injuries, making them the key level for improvement in nuclear radiation health emergency response. The Construction Plan for Municipal-Level Nuclear Radiation Health Emergency Response Teams specifies that the total number of team members should be no fewer than 30 to ensure rapid response and immediate arrival at the scene. The List of Key Professional Equipment proposes the prioritized allocation of five categories of equipment: personal basic equipment, contamination detection and classification equipment, decontamination equipment, medical treatment equipment, and command and logistical support equipment. Conclusion Nuclear radiation health emergency response capacity in Guangdong Province requires further improvement, particularly in standardized development of municipal-level nuclear radiation health emergency response teams. The Construction Plan for Municipal-Level Nuclear Radiation Health Emergency Response Teams defines capacity requirements and provides a list of essential equipment, offering a practical reference for other regions.

ObjectiveTo investigate whether modified Taohe Chengqitang （JTCT） treats liver fibrosis by inhibiting hepatic sinusoidal capillarization， and to verify whether its specific mechanism is related to the Homologous genes responsible for the notches along the edges of Drosophila wings（Notch） signaling pathway and endothelial nitric oxide synthase （eNOS） signaling pathway. MethodsFifty C57BL/6 mice were randomized into 5 groups： Control， model （5 mL·kg^-1·3 d^-1）， low-dose JTCT， medium-dose JTCT， and high-dose JTCT （JTCT-L，JTCT-M，JTCT-H）. Except the control group， the other groups were intraperitoneally injected with 20% carbon tetrachloride （CCl₄） olive oil solution every 3 days for 4 weeks to induce liver fibrosis. Meanwhile， JTCT-L， JTCT-M， and JTCT-H groups were administrated with JTCT by gavage at doses of 16.6， 33.3， and 66.6 g·kg^-1·d^-1， respectively， for 4 consecutive weeks （the control and model groups received equal volumes of normal saline by gavage）. Primary liver sinusoidal endothelial cells （LSECs） were isolated from rat livers through in situ perfusion of collagenase， Percoll density gradient centrifugation， and selective removal of Kupffer cells. After verification of cell phenotype， LSECs were used for experiments. For cells at the logarithmic growth phase， the small interfering RNA（siRNA） kit was used to knock down the expression of soluble guanylate cyclase （sGC） through transient transfection. Subsequently， the Notch agonist Jagged-1 was applied. Cell counting kit-8 （CCK-8） was used to examine the cytotoxicity of JTCT on LSECs. Real-time PCR and Western blot were employed to measure the expression of molecules in the Notch and eNOS signaling pathways at mRNA and protein levels， respectively. Intracellular Ca²⁺ was labeled with the fluorescent probe Fluo-4 acetoxymethyl ester（Fluo-4/AM）. ResultsThe animal experiment showed that compared with the control group， the model group exhibited hepatic steatosis， inflammatory cell infiltration， hepatocyte degeneration and necrosis， lobular structural disorder， and fibrous tissue hyperplasia in the mouse liver tissue， significantly elevated serum levels of hydroxyproline （Hyp）， alanine transaminase （ALT）， and aspartate transaminase （AST） （P<0.01）， significantly upregulated expression levels of Notch1， Hes family bHLH transcription factor 1（Hes1）， Cluster of Differentiation 31（CD31）， and von Willebrand factor（vWF） （P<0.01）， and significantly downregulated phosphorylate（p）-eNOS/eNOS ratio and sGC expression （P<0.01）. Compared with the model group， all the JTCT groups showed significantly reduced serum Hyp， ALT， and AST levels （P<0.01）， downregulated expression of Notch1， Hes1， CD31， and vWF （P<0.05， P<0.01）， and upregulated p-eNOS/eNOS ratio and sGC expression （P<0.05， P<0.01） in the liver tissue， with the JTCT-H group showing the most significant changes （P<0.01）. The cell experiment showed that compared with the LSEC-1day group， the LSEC-5day group exhibited significantly increased expression of Notch1， Hes1， CD31， and vWF （P<0.01）， significantly decreased p-eNOS/eNOS ratio and sGC expression （P<0.01）， and elevated intracellular Ca²⁺ concentration （P<0.01）. Compared with the LSEC-5day group， the JTCT group showed decreased expression of Notch1， Hes1， CD31， and vWF （P<0.01）， significantly increased p-eNOS/eNOS ratio （P<0.01）， and significantly reduced intracellular Ca²⁺ concentration （P<0.01）. No significant differences were observed in the expression of Notch1， Hes1， eNOS， p-eNOS， CD31， vWF， sGC， or intracellular Ca²⁺ concentration between the Jagged1 group and the Jagged1+JTCT group. Compared with the LSEC-5day group， the sGC knockout group （sGC-KO） showed significantly increased expression of CD31 and vWF （P<0.01）. There was no significant difference in CD31 or vWF expression between the sGC-KO group and the sGC-KO+JTCT group. ConclusionJTCT inhibits the activation of the Notch signaling pathway and restores the activity of the eNOS signaling pathway to suppress sinusoidal capillarization of LSECs， thereby treating liver fibrosis.

Objective: To examine the association between academic stress and anxiety-depression comorbidity among college students and the potential moderating effect of physical activity, so as to provide a theoretical basis for the development of evidence based mental health promotion frameworks in higher education institutions. Methods: From October 2022 to June 2024, a total of 7 980 students from 21 universities across five provinces/municipalities in China, including Shanghai, Jiangsu, Zhejiang, Shandong, and Anhui, using a combination of convenience sampling and stratified random cluster sampling. Physical activity, academic stress, anxiety, and depression were assessed by using the 24 hour Movement Behaviors Questionnaire, the Chinese College Students Mental Health Screening Scale, the Generalized Anxiety Disorder-7, and the Center for Epidemiologic Studies Depression Scale, respectively. Binary Logistic regression was used to examine the associations between academic stress and anxiety, depression, and their comorbidity. The PROCESS macro was employed to test the moderating effect of physical activity. Results: The prevalence of anxiety-depression comorbidity among college students was relatively high (11.53%), with significant differences observed across grades and body mass index (BMI) categories ( χ 2=70.30, 24.63, both P <0.01). Binary Logistic regression revealed that, compared with low academic stress, moderate academic stress among male students was significantly associated with greater odds of anxiety ( OR =2.78), depression ( OR =2.75), and anxiety-depression comorbidity ( OR =2.89) (all P <0.01). High academic stress was associated with elevated odds of anxiety ( OR =6.66), depression ( OR =12.81), and anxiety-depression comorbidity ( OR =13.65) (all P <0.01). Among female students, moderate academic stress was associated with anxiety ( OR =2.58), depression ( OR =1.52), and anxiety-depression comorbidity ( OR =1.70) (all P <0.01). High academic stress increased the risk of anxiety ( OR =6.77), depression ( OR =6.81), and anxiety-depression comorbidity ( OR =7.48) (all P <0.05). The moderation analysis indicated that the interaction between total physical activity duration and academic stress had a significant netative moderating effect on anxiety-depression comorbidity among college students ( β =-0.03, P <0.01). Conclusions Academic stress increases the risk of anxiety, depression, and anxiety-depression comorbidity among college students. Physical activity may attenuate the adverse effects of academic stress on anxiety-depression comorbidity.

Objective:To explore the role and molecular mechanisms of S100A6 protein in neonatal meningitis caused by Streptococcus agalactiae. Methods:Human brain microvascular endothelial cells (HBMECs) were used as an in vitro experimental model, and siRNA was employed to construct S100A6 gene knockdown HBMECs strain. The S100A6 gene overexpression cell line was established by lentiviral transfection method. Western blot was used to detect the expression level of S100A6 protein in HBMECs after Streptococcus agalactiae infection, and the change in intracellular inflammatory cytokine protein levels after S100A6 gene knockdown or overexpression. A neonatal bacterial meningitis model was established by injecting Streptococcus agalactiae suspension into the cisterna magna of neonatal Sprague-Dawley (SD) rats. HE staining was used to observe pathological changes in brain tissue; immunohistochemistry was used to detect the expression and distribution of S100A6 protein in brain tissue; Western blot and ELISA were used to measure S100A6 protein levels in cerebrospinal fluid (CSF). Results:Compared with the control group, the intracellular S100A6 protein level in HBMECs increased significantly following Streptococcus cgalactiae infection. After S100A6 gene knockdown, the invasion rate of Streptococcus agalactiae into the HBMECs was significantly reduced ( P<0.01), while intracellular TNF-α and IL-6 protein levels were elevated markedly ( P<0.01). In contrast, overexpression of S100A6 gene increased the invasion rate ( P<0.01) and notably decreased TNF-α and IL-6 protein levels ( P<0.001). In the neonatal SD rat bacterial meningitis model, HE staining revealed substantial neutrophil infiltration in brain tissue after Streptococcus agalactiae infection. Immunohistochemistry showed extensive deposition of S100A6 protein around the meninges, and significant expression of S100A6 protein was also detected in CSF. Conclusions:S100A6 protein is crucial in mediating neonatal meningitis caused by Streptococcus agalactiae infection. S100A6 gene knockdown promotes the production of intracellular inflammatory cytokines and reduces Streptococcus agalactiae invasion into cells, thereby alleviating bacteria-induced cellular damage. Additionally, the increased expression of S100A6 protein in brain tissue and CSF after Streptococcus agalactiae infection suggests its potential as a diagnostic biomarker for bacterial meningitis.

Objective: To study the effect of nano hemoglobin-based oxygen carrier (nano-HBOC) on radiosensitivity of lung cancer H385 cells. Methods: Using 95% N and 5% CO , a lung cancer cell line was constructed in a hypoxic environment, and H385 cells were treated with different concentrations of nano-HBOC and irradiated (4Gy) by an irradiator, and the IC50 concentration was calculated. The cells were detected by flow cytometry (reactive oxygen species, ROS) ROS test. Using GEO database, KEGG pathway enrichment analysis was carried out to predict possible pathways. The levels of lipid peroxidation and Fe were observed by fluorescence microscope, and the proteins related to iron death pathway were detected by Western-blot. Results: Compared with the control cells, the activity and density of the cells were significantly decreased by nano-HBOC combined with radiotherapy, with a notable proportion of cells exhibiting deteriorated status. There is a positive correlation between ROS level and nano-HBOC concentration, especially after radiotherapy. Radiotherapy combined with nano-HBOC significantly increased the levels of lipid peroxidation and Fe in H385 cells, while decreasing the levels of iron death pathway proteins slc7a11 and GPX4, and increasing the level of ACSL4. Conclusion: Nano-HBOC enhances the radiosensitivity of lung cancer H385 cells.

Objective: To study the effect of nano hemoglobin-based oxygen carrier (nano-HBOC) on radiosensitivity of lung cancer H385 cells. Methods: Using 95% N and 5% CO , a lung cancer cell line was constructed in a hypoxic environment, and H385 cells were treated with different concentrations of nano-HBOC and irradiated (4Gy) by an irradiator, and the IC50 concentration was calculated. The cells were detected by flow cytometry (reactive oxygen species, ROS) ROS test. Using GEO database, KEGG pathway enrichment analysis was carried out to predict possible pathways. The levels of lipid peroxidation and Fe were observed by fluorescence microscope, and the proteins related to iron death pathway were detected by Western-blot. Results: Compared with the control cells, the activity and density of the cells were significantly decreased by nano-HBOC combined with radiotherapy, with a notable proportion of cells exhibiting deteriorated status. There is a positive correlation between ROS level and nano-HBOC concentration, especially after radiotherapy. Radiotherapy combined with nano-HBOC significantly increased the levels of lipid peroxidation and Fe in H385 cells, while decreasing the levels of iron death pathway proteins slc7a11 and GPX4, and increasing the level of ACSL4. Conclusion: Nano-HBOC enhances the radiosensitivity of lung cancer H385 cells.

Objective: To explore the association between mental health and muscle strength among Chinese adolescents aged 13- 18, providing a theoretical foundation and intervention strategies for mental health promotion. Methods: Data were obtained from the 2019 Chinese National Survey on Students Constitution and Health, including 98 631 Chinese adolescents aged 13- 18. Psychological distress was assessed by using the Kessler Psychological Distress Scale (K10), and mental well being was measured with the Warwick-Edinburgh Mental Well being Scale (WEMWBS). Based on the gender and age specific Z scores of various test items [grip strength, standing long jump, pull ups (for males), and sit ups (for females)], muscle strength index (MSI) was constructed to evaluate the comprehensive level of muscle strength in adolescents. According to the Dual factor Model (DFM) of mental health, participants were categorized into four groups:troubled, symptomatic but content, vulnerable, and complete mental health. Gender differences were analyzed by using Chi-square tests, trends were tested with Cochran-Armitage tests, and multinomial Logistic regression models were applied to assess associations between muscle strength and mental health among adolescents. Results: In 2019, 37.4% of Chinese adolescents aged 13-18 were reported of high mental distress, and 59.9% were reported of low mental well being. Boys had significantly lower rates of high mental distress (35.3%) and low mental well being (55.6%) compared to girls (39.4%, 64.3%), and the differences were of statistical significance ( χ 2=176.13, 780.42, both P <0.05). In 2019, the rate of complete mental health among adolescents showed a downward trend with increasing age ( χ 2 trend = 258.47) and a gradual upward trend with increasing muscle strength levels ( χ 2 trend =123.14)，and both boys and girls exhibited similar trends ( χ 2 trend =103.83, 168.46; 57.00 , 67.34) (all P <0.05). The results of the unordered multiclass Logistic regression model showed that after controlling for confounding factors such as age and gender, when the completely pathological group as a reference, for every 1 unit increase in MSI in adolescents, the likelihood of being in a completely mental health state increased by 29% ( OR = 1.29); for every unit increase in the Z-score for pull ups, the likelihood of being in a completely mental health state increased by 6% ( OR =1.06) among boys; for every 1 unit increase in sit up Z score, the likelihood of being in a completely mental health state increased by 19% ( OR =1.19) among girls (all P <0.05). Conclusions The mental health status of Chinese adolescents is not good enough. Muscle strength is positively associated with mental health.

Objective: To systematically review the development and changes in mental health policies within the National Outline for Children s Development in China from 1992 to 2030, providing a reference basis for future formulation of mental health policies among children and adolescent in China. Methods: Based on the four editions of the National Outline for Children s Development in China across different periods from 1992 to 2030, word frequency analysis was used to reveal shifts in policy priorities, and an internationally recognized framework for adolescent health policy analysis was applied to conduct a textual review. Results: Word frequency analysis revealed that the term "psychological" appeared 6 times in the National Outline for Children s Development in China (2001-2010) but increased to 20 times in the National Outline for Children s Development in China (2021-2030) (abbreviated as the National Outline of 2021), while the term "health" rose from 4 times in the National Outline for Children s Development Plan in China in the 1990s to 68 times in the National Outline of 2021. The scope of mental health policy interventions expanded to encompass five key areas:health, safety, education, welfare and legal protection. Textual analysis highlighted that the policies of the National Outline for Children s Development in China were demand driven, prioritized vulnerable groups and continuously broadened their coverage, emphasizing sustainability and appropriateness, and monitoring/evaluation mechanisms. By 2023, 42.3% of primary schools and 64.8% of secondary schools employed full time mental health education teachers. However, the National Outline for Children s Development in China lacked direct evidence of children and adolescents participation in policy formulation, and publicly available mental health data disaggregated by age and gender remained limited. Conclusion Mental health policies of children and adolescents in China have evolved from nonexistence to gradual refinement, yet institutionalized channels for youth involvement in policy development and evaluation remain insufficient, and transparency in age and gender specific mental health data needs improvement.

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female