ObjectiveTo study the mechanism of Huanglian Jiedutang （HLJDT） in treating mice with atherosclerosis （AS） by improving ferroptosis. MethodsA total of 10 SPF C57BL/6J mice were selected as a normal group， and 50 ApoE^-/- mice were randomly divided into five groups： model group， low-dose group of HLJDT， medium-dose group of HLJDT， high-dose group of HLJDT， and atorvastatin （ATV） group. ApoE^-/- mice were fed a high-fat diet for eight weeks to establish the AS model， and at the 9th week， they were given normal saline， low， medium， and high doses of HLJDT （3.9， 7.8， 15.6 g·kg^-1·d^-1）， and atorvastatin calcium tablets （0.01 g·kg^-1·d^-1）， respectively， for a total of eight weeks. The formation of aortic plaque in mice was observed by gross oil red O staining and Masson staining. The levels of total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， triglyceride （TG）， and high-density lipoprotein cholesterol （HDL-C） in blood fat were measured by the automatic biochemical analyzer， and the mitochondrial structure of the aorta was observed by transmission electron microscopy. The content of serum superoxide dismutase （SOD） in serum was detected by enzyme-linked immunosorbent assay （ELISA）. The content of reduced glutathione （GSH） in serum was detected by the microplate method， and that of malondialdehyde （MDA） in serum was detected by the TBA method. The protein expression of nuclear factor E₂-associated factor 2 （Nrf2）/glutathione peroxidase 4 （GPX4） signaling pathway was detected by Western blot. ResultsCompared with those of the normal group， the contents of TC， LDL-C， TG， HDL-C， and MDA in the serum and the aortic vascular plaque deposition of the model group were significantly increased （P<0.01）， while the expression levels of SOD and GSH in serum， as well as Nrf2， solute carrier family 7 member 11 （SLC7A11）， and GPX4 in aorta were significantly decreased （P<0.01）. Mice in the model group appeared mitochondrial fragmentation and vacuolation in the aorta， volume atrophy， mitochondrial crista reduction， or a loose and disorganized form. Compared with those in the model group， the aortic vascular plaque deposition was significantly decreased in the low-dose， medium-dose， and high-dose groups of HLJDT and ATV group， and the contents of serum TC， LDL-C， TG， and MDA in serum were significantly decreased （P<0.05， P<0.01）. The contents of serum SOD and GSH and the expression levels of Nrf2， SLC7A11， and GPX4 in the aorta were increased （P<0.05， P<0.01）， and the symptoms of aortic mitochondrial vacuolation were alleviated. The number of cristae was increased， and they were ordered neatly. ConclusionHLJDT can reduce aortic vascular plaque deposition， decrease blood lipid and MDA expression， increase SOD and GSH expression， and ameliorate the pathological changes of ferroptosis， the mechanism of which is related to the Nrf2/GPX4 signaling pathway.

Objective:To develop and validate a machine learning (ML) noninvasive model based on routine laboratory parameters to preoperatively predict the microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).Methods:A total of 629 HCC patients who underwent hepatectomy at the First Affiliated Hospital of Fujian Medical University between January 2019 and December 2023 were retrospectively enrolled in this study and were divided chronologically into a training set ( n=464) and internal validation set ( n=165). A cohort with 190 HCC patients from Fujian Provincial Hospital were used as an external validation set. Preoperatively demographic features, tumor size and routine laboratory data were collected. All patients were divided into MVI-positive or MVI-negative group. The Boruta algorithm and LASSO regression algorithm were used to screen out related features in the training set. Eight different ML algorithms including multivariate logistic regression, decision tree (DT), random forest (RF), extreme gradient boosting (XGboost), k-nearest neighbor (KNN), support vector machine (SVM), light gradient boosting machine (LGBM) and Naive Bayes were used to construct the prediction models. The predictive performances of these models on training and internal validation sets were evaluated by the receiver operating characteristic (ROC) curve with the area under the curve (AUC). The ML model with the highest AUC values was defined as the optimal model and its performance was further validated in the external validation set. The calibration curve showed that the probability value curve was close to the actual occurrence probability curve, and the DCA showed that it could be applied within the threshold probability range of 0.3-0.8 to obtain net benefits. Results:After screening, eight parameters including α-fetoprotein (AFP), protein induced by vitamin K absence Ⅱ (PIVKA-Ⅱ), tumor size, eosinophil count, neutrophil count, creatinine, ApoA1 and total bilirubin were finally selected for the construction of the preoperative prediction model for MVI in HCC. Among all the tested eight ML algorithms, XGboost obtained the optimal performance with an AUC of 0.820 in training set, an AUC of 0.803 in internal testing set and an AUC of 0.758 in external testing set. Further stratified analysis showed that the AUC for preoperatively predicting MVI by XGboost was 0.817 for HCC patients with positive hepatitis B surface antigen, 0.779 for male patients and 0.790 for elder patients. The calibration curves showed good agreement between observed and predicted values and the decision curve analysis curve showed relatively higher net benefits.Conclusions:We successfully established and verified a novel XGboost model based on eight routine laboratory parameters with relatively high and reliable predictive accuracy to preoperatively predict MVI in HCC.

Objective:To investigate the distribution of health needs and healthcare workforce demands among potential service users in community health service institurions (CHSIs) and establish a comprehensive health needs profile for targeted service development.Methods:This is a cross-sectional study. A questionnaire survey (55 items for adults and 39 items for minors) was conducted among 564 residents aged 3-65 in Dapuqiao Subdistrict, Shanghai from March to May 2024. A health sketch model was developed, encompassing five dimensions (intake, basal metabolism, consumption, influencing factors, and somatosensory perception). Health issues were mapped to standardized healthcare services, and annual standardized workloads (SW) were calculated to quantify human resource demands. Results:Among 534 valid responses (94.68% response rate), 355 from the adults and 179 from minors, the top health issues for adults were irregular diet, nutritional imbalance, obesity, somatic fatigue, and disordered eating; for minors, they were nutritional imbalance, medication overuse, insufficient physical activity, picky eating, and anorexia. The total annual SW required to address these needs was 3 906 807.93. Among them, the total SW for each age group was as follows: the total annual SW demand for children aged between 3 and 5 years old was 24 108.90, for children aged between 6 and 11 years old was 141 355.70, for adolescents aged between 12 and 17 years old was 29 813.74, 223 475.50 for 18-24 year olds, 476 426.53 for 25-34 year olds, 1 221 105.84 for 35-44 year olds, 812 200.22 for 45-54 year olds; and 978 321.50 for 55-65 year olds. Workforce allocation analysis revealed a total demand for 139.84 standardized personnel, with rehabilitation therapists (38.16), general practitioners (35.69), and nurses (27.34) being the top three required roles.Conclusions:Health needs and workforce demands vary significantly across age groups. This study provides a data-driven framework for optimizing community health services through stratified health needs profiling and precision resource allocation. Future strategies should prioritize tailored interventions and workforce planning to bridge service gaps and enhance health outcomes.

Objective:To investigate the descrepancy between current supply and demand based on standardiized workload for rational human resource allocation in community health service centers.Methods:A retrospective study was conducted in Dapuqiao Community Health Service Center of Shanghai Huangpu District from January 1st to December 3lst 2023. The current status of demand and supply were analyzed using the 2023 data of the institution. The standardised workload was measured according to the potential basic medical and public health service needs based on the disease profile and population groups in the community. The discrepancy between the current supply and theoretical demand was analyzed.Results:A total of 36 634 patients paid 277 262 visits in outpatient clinics of Dapuqiao Community Health Service Center in 2023. There are total 161 employees in the center, 124 of whom are female (77.02%). The actual calibrated workload of basic medical care and public health service in the center calculated on fee-based medical service items in 2023 was 2 888 425.61 and 455 898.35, respectively; while the theoretically calibrated workload was 5 416 492.42 and 711 230.94, respectively. The center employed 131 medical and health workers currently, calibrated as 90.67 employees based on current demand, while it should be 183.74 calibrated on the theoretical demand, there was a certain discrepancy between the current staffing and the standard staffing based on the standardized workload calculation.Conclusion:At present, the actual standardized workload of basic medical and public health services in Dapuqiao Community Health Service Center still has room for improvement, but there is a certain gap between the current human resource allocation and the demand.

Post-traumatic stress disorder (PTSD) is a relatively common but complex mental illness with a range of diverse risk factors. Typical symptoms include the re-experience or avoidance of traumatic events, cognitive impairment, and hypervigilance. While the exact pathogenesis of PTSD is unclear, many studies indicate that epigenetic regulation plays a key role in its development. Specifically, numerous studies have indicated that the levels of histone acetylation and methylation, DNA methylation, and noncoding RNA are altered in PTSD patients. Further to this, natural products have been found to achieve epigenetic regulation of PTSD by regulating the expression of epigenetic enzymes, long noncoding RNA (lncRNA), and miRNA, thereby playing a role in improving PTSD symptoms. To date, however, no epigenetic regulation related drugs have been used in the treatment of PTSD. Furthermore, while natural products that can epigenetically regulate PTSD have received increasing levels of attention, there have not yet been any systematic reports on the topic. Here, we summarized the roles and mechanisms of natural products in the epigenetic regulation of PTSD, providing a novel and unique perspective that will help to guide the development and application of new PTSD treatments.

Objective:To investigate the distribution of health needs and healthcare workforce demands among potential service users in community health service institurions (CHSIs) and establish a comprehensive health needs profile for targeted service development.Methods:This is a cross-sectional study. A questionnaire survey (55 items for adults and 39 items for minors) was conducted among 564 residents aged 3-65 in Dapuqiao Subdistrict, Shanghai from March to May 2024. A health sketch model was developed, encompassing five dimensions (intake, basal metabolism, consumption, influencing factors, and somatosensory perception). Health issues were mapped to standardized healthcare services, and annual standardized workloads (SW) were calculated to quantify human resource demands. Results:Among 534 valid responses (94.68% response rate), 355 from the adults and 179 from minors, the top health issues for adults were irregular diet, nutritional imbalance, obesity, somatic fatigue, and disordered eating; for minors, they were nutritional imbalance, medication overuse, insufficient physical activity, picky eating, and anorexia. The total annual SW required to address these needs was 3 906 807.93. Among them, the total SW for each age group was as follows: the total annual SW demand for children aged between 3 and 5 years old was 24 108.90, for children aged between 6 and 11 years old was 141 355.70, for adolescents aged between 12 and 17 years old was 29 813.74, 223 475.50 for 18-24 year olds, 476 426.53 for 25-34 year olds, 1 221 105.84 for 35-44 year olds, 812 200.22 for 45-54 year olds; and 978 321.50 for 55-65 year olds. Workforce allocation analysis revealed a total demand for 139.84 standardized personnel, with rehabilitation therapists (38.16), general practitioners (35.69), and nurses (27.34) being the top three required roles.Conclusions:Health needs and workforce demands vary significantly across age groups. This study provides a data-driven framework for optimizing community health services through stratified health needs profiling and precision resource allocation. Future strategies should prioritize tailored interventions and workforce planning to bridge service gaps and enhance health outcomes.

Objective:To investigate the descrepancy between current supply and demand based on standardiized workload for rational human resource allocation in community health service centers.Methods:A retrospective study was conducted in Dapuqiao Community Health Service Center of Shanghai Huangpu District from January 1st to December 3lst 2023. The current status of demand and supply were analyzed using the 2023 data of the institution. The standardised workload was measured according to the potential basic medical and public health service needs based on the disease profile and population groups in the community. The discrepancy between the current supply and theoretical demand was analyzed.Results:A total of 36 634 patients paid 277 262 visits in outpatient clinics of Dapuqiao Community Health Service Center in 2023. There are total 161 employees in the center, 124 of whom are female (77.02%). The actual calibrated workload of basic medical care and public health service in the center calculated on fee-based medical service items in 2023 was 2 888 425.61 and 455 898.35, respectively; while the theoretically calibrated workload was 5 416 492.42 and 711 230.94, respectively. The center employed 131 medical and health workers currently, calibrated as 90.67 employees based on current demand, while it should be 183.74 calibrated on the theoretical demand, there was a certain discrepancy between the current staffing and the standard staffing based on the standardized workload calculation.Conclusion:At present, the actual standardized workload of basic medical and public health services in Dapuqiao Community Health Service Center still has room for improvement, but there is a certain gap between the current human resource allocation and the demand.

Objective:To develop and validate a machine learning (ML) noninvasive model based on routine laboratory parameters to preoperatively predict the microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).Methods:A total of 629 HCC patients who underwent hepatectomy at the First Affiliated Hospital of Fujian Medical University between January 2019 and December 2023 were retrospectively enrolled in this study and were divided chronologically into a training set ( n=464) and internal validation set ( n=165). A cohort with 190 HCC patients from Fujian Provincial Hospital were used as an external validation set. Preoperatively demographic features, tumor size and routine laboratory data were collected. All patients were divided into MVI-positive or MVI-negative group. The Boruta algorithm and LASSO regression algorithm were used to screen out related features in the training set. Eight different ML algorithms including multivariate logistic regression, decision tree (DT), random forest (RF), extreme gradient boosting (XGboost), k-nearest neighbor (KNN), support vector machine (SVM), light gradient boosting machine (LGBM) and Naive Bayes were used to construct the prediction models. The predictive performances of these models on training and internal validation sets were evaluated by the receiver operating characteristic (ROC) curve with the area under the curve (AUC). The ML model with the highest AUC values was defined as the optimal model and its performance was further validated in the external validation set. The calibration curve showed that the probability value curve was close to the actual occurrence probability curve, and the DCA showed that it could be applied within the threshold probability range of 0.3-0.8 to obtain net benefits. Results:After screening, eight parameters including α-fetoprotein (AFP), protein induced by vitamin K absence Ⅱ (PIVKA-Ⅱ), tumor size, eosinophil count, neutrophil count, creatinine, ApoA1 and total bilirubin were finally selected for the construction of the preoperative prediction model for MVI in HCC. Among all the tested eight ML algorithms, XGboost obtained the optimal performance with an AUC of 0.820 in training set, an AUC of 0.803 in internal testing set and an AUC of 0.758 in external testing set. Further stratified analysis showed that the AUC for preoperatively predicting MVI by XGboost was 0.817 for HCC patients with positive hepatitis B surface antigen, 0.779 for male patients and 0.790 for elder patients. The calibration curves showed good agreement between observed and predicted values and the decision curve analysis curve showed relatively higher net benefits.Conclusions:We successfully established and verified a novel XGboost model based on eight routine laboratory parameters with relatively high and reliable predictive accuracy to preoperatively predict MVI in HCC.

Objective:To investigate the effects of long-term exposure to chrysotile and crocidolite on miRNAs and epithelial mesenchymal transformation (EMT) -related gene expression in human pleural mesothelial cells.Methods:In November 2020, fluorescence quantitative polymerase chain reaction (RT-qPCR) was used to detect the expressions of EMT-related genes in human pleural mesothelioma cells (NCl-H2052 cells, NCl-H2452 cells) and human normal mesothelial cells (Met-5A cells). MiRNAs with abnormal expression in human pleural mesothelioma cells were screened out from the previous miRNA chip data of research group, and target genes of differentially expressed miRNAs were predicted using miRWalk database (http: //mirwalk.umm.uni-heidelberg.de). RT-qPCR was used to verify the abnormal expression of EMT-related miRNAs in cell lines. Met-5A cells were treated with 5μg/cm 2 chrysotile and crocidolite respectively for 48 h a time, once a week and a total of 10 times. Chrysotile group, crocidolite group and control group were set up. And the control group was added with the same volume of PBS. The expression changes of EMT-related genes and abnormal expression miRNAs in each group were detected by RT-qPCR. The differences among the groups were compared by one-way ANOVA, and the differences between the control group and the experimental group were compared by dunnet- t test. Results:Compared with Met-5A cells, the expression levels of Vimentin and Twist genes were increased, and the expression level of E-cadherin genes was decreased in NCl-H2052 cells and NCl-H2452 cells ( P<0.001). Target genes of miRNAs with abnormal expression in miRNA chip were predicted, and the results showed four abnormally expressed miRNAs associated with EMT and verified the expression of these four miRNAs in the cell lines. Compared with Met-5A cells, the expression level of hsa-miR-155-5p was increased in NCl-H2052 cells and NCl-H2452 cells, the expression levels of hsa-miR-34b-5p, hsa-miR-34c-5p and hsa-miR-28-5p were decreased in NCl-H2052 cells and NCl-H2452 cells ( P<0.001), which was consistent with the results of chip analysis. After exposure of Met-5A cells, it was found that compared with the control group, the expression levels of Vimentin and Twist genes, hsa-miR-155-5p, hsa-miR-34b-5p and hsa-miR-34c-5p in the crocidolite group were increased, while the expression level of E-cadherin gene was decreased ( P<0.05). Compared with the control group, the expression levels of Vimentin, Twist and E-cadherin genes in chrysotile group were increased, while the expression levels of hsa-miR-34b-5p, hsa-miR-34c-5p and hsa-miR-28-5p were decreased ( P<0.05) . Conclusion:Long-term exposure to chrysotile and crocidolite could cause Met-5A cells to produce miRNAs and EMT-related gene expression changes similar to mesothelioma cells.

Objective:To investigate the effect of Bakri balloon tamponade combined with oxytocin in the treatment of postpartum hemorrhage after cesarean section and its effect on coagulation function.Methods:Fifty patients with cesarean section and postpartum hemorrhage treated in Hainan Modern Women and Children′s Hospital from May 2018 to May 2021 were enrolled retrospectively, and they were randomly divided into observation group and control group, each with 25 cases. The control group was treated with oxytocin combined with intrauterine gauze to stop bleeding, and the observation group was treated with oxytocin combined with Bakri balloon to stop bleeding. The clinical efficacy and hemostatic effect of the two groups were compared. The heart rate, blood pressure, coagulation function before and after treatment and postoperative complications were compared between the two groups.Results:The total effective rate in the observation group was higher than that in the control group: 92.00%(23/25) vs. 68.00%(17/25), there was statistical difference ( χ2 = 4.50, P<0.05). The hemostasis time, intraoperative bleeding volume, 24 h postpartum bleeding volume and blood transfusion volume in the observation group were lower than those in the control group: (11.25 ± 2.54) min vs. (20.56 ± 4.87) min, (687.53 ± 102.84) ml vs. (789.25 ± 113.47) ml, (915.23 ± 115.62) ml vs. (1 041.65 ± 125.83) ml, (1 054.28 ± 186.73) ml vs. (1 207.58 ± 193.72) ml, there were statistical differences ( P<0.05). After treatment, the heart rate, diastolic blood pressure and systolic blood pressure in the observation group were lower than those in the control group: (85.17 ± 8.73) beats/min vs. (92.75 ± 9.05) beats/min, (81.25 ± 8.34) mmHg (1 mmHg = 0.133 kPa) vs. (90.12 ± 8.83) mmHg , (120.27 ± 15.17) mmHg vs. (132.71 ± 16.27) mmHg , there were statistical differences ( P<0.05). After treatment, the levels of prothrombin time and activated partial thromboplastin time in the observation group were lower than those in the control group, and the level of fibrinogen in the observation group was higher than that in the control group: (13.15 ± 1.28) s vs. (17.36 ± 1.58) s, (30.36 ± 6.75) s vs. (38.47 ± 7.38) s, (6.17 ± 1.02) g/L vs. (5.25 ± 0.97) g/L, there were statistical differences ( P<0.05). The incidence of postoperative complications in the observation group was lower than that in the control group: 12.00% (3/25) vs. 36.00%(9/25), there was statistical difference ( χ2 = 3.95, P<0.05). Conclusions:Bakri balloon tamponade combined with oxytocin can significantly improve the coagulation function of patients with postpartum hemorrhage after cesarean section, reduce the occurrence of postoperative complications.