Objective To establish an individualized nomogram model and evaluate its efficacy to provide a possible evaluation basis for the prognosis of lower third and abdominal part of oesophageal adenocarcinoma (EAC). Methods Lower third and abdominal part of EAC patients from 2010 to 2015 were chosen from the SEER Research Plus Database (17 Regs, 2022nov sub). The patients were randomly allocated to the training cohort and the internal validation cohort with a ratio of 7∶3 using bootstrap resampling. The Cox proportional hazards regression analysis was used to determine significant contributors to overall survival (OS) in EAC patients, which would be elected to construct the nomogram prediction model. C-index, calibration curve and receiver operating characteristic (ROC) curve were performed to evaluate its efficacy. Finally, the efficacy to evaluate the OS of EAC patients was compared between the nomogram prediction model and TNM staging system. Results In total, 3945 patients with lower third and abdominal part of EAC were enrolled, including 3475 males and 470 females with a median age of 65 (57-72) years. The 2761 patients were allocated to the training cohort and the remaining 1184 patients to the internal validation cohort. In the training and the internal validation cohorts, the C-index of the nomogram model was 0.705 and 0.713, respectively. Meanwhile, the calibration curve also suggested that the nomogram model had a strong capability of predicting 1-, 3-, and 5-year OS rates of EAC patients. The nomogram also had a higher efficacy than the TNM staging system in predicting 1-, 3-, and 5-year OS rates of EAC patients. Conclusion This nomogram prediction model has a high efficiency for predicting OS in the patients with lower third and abdominal part of EAC, which is higher than that of the current TNM staging system.

Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.

Thyroid diseases are common clinical endocrine disorders， and their pathogenesis is generally considered to be closely related to genetic predisposition factors， immune system disorders， hormone levels， etc. Xiaoyaosan is widely used in the treatment of various thyroid diseases with excellent effects. This study summarized the relevant literature on the treatment of thyroid diseases with modified Xiaoyaosan prescriptions and their active ingredients from aspects such as theoretical analysis， clinical research， and mechanism research. Theoretical analysis revealed that Xiaoyaosan could not only disperse stagnated liver qi but also replenish deficient spleen Qi， which was consistent with the etiology and pathogenesis of thyroid diseases. Clinical studies found that Xiaoyaosan and its modified prescriptions could be widely used in the treatment of multiple thyroid diseases， such as hyperthyroidism， Hashimoto's thyroiditis， and thyroid nodules. Both the use of modified Xiaoyaosan alone and in combination with medications such as methimazole， propylthiouracil， and euthyrox could effectively improve patients' clinical symptoms. In the mechanism research， this study discovered that the whole formula of Xiaoyaosan and its modified prescriptions could inhibit inflammatory reactions， regulate immune balance， and delay liver damage during the treatment of thyroid diseases. The research on Xiaoyaosan for treating thyroid diseases mainly focused on thyroid cancer， autoimmune thyroiditis， hyperthyroidism， and hypothyroidism. The mechanisms of action mainly involved promoting cell apoptosis， inhibiting cell proliferation and migration， arresting the cell cycle， and regulating thyroid hormone levels. In conclusion， this study systematically combs and summarizes the research status of Xiaoyaosan in treating thyroid diseases through literature retrieval， aiming to provide new perspectives and new ideas for the prevention and treatment of thyroid diseases with traditional Chinese medicine.

Objective: To analyze the association between fine particulate matter (PM2.5) exposure in the air and dyslipidemia among primary school students, in order to provide the evidencebased support for the prevention and control of chronic diseases in children. Methods: The random sampling method was used to select 625 students from two primary schools in Anhui Province and Tianjin City from May to June 2024. Based on the home address, the annual average exposure levels of PM2.5 were obtained in 3 years before investigation, 2 years before investigation, and the past year before investigation. Fasting blood samples were collected for the detection of total cholesterol, triglycerides (TG), highdensity lipoprotein cholesterol and lowdensity lipoprotein cholesterol. Linear regression modeling was used to analyze the association between PM2.5 exposure and dyslipidemia among primary school students. Results: The rate of dyslipidemia among primary school students was 14.72% in the present study. The results of linear regression analysis showed that the TG increased by 0.019(95%CI=0.012-0.025)，0.023(95%CI=0.016-0.030) and 0.021(95%CI=0.014-0.027) mmol/L for every 1 μg/m3 increase of PM2.5 in the past year before investigation, 2 years before investigation and 3 years before investigation respectively (P<0.05). The results of binary Logisitic analysis showed that the risks of dyslipidemia in primary school students were positively correlated with PM2.5 mass concentration in the past year before investigation, 2 years before investigation, and 3 years before investigation [OR(95%CI)=1.06(1.02-1.11), 1.06(1.01-1.12), 1.06(1.01-1.11), P<0.05]. Conclusions PM2.5 exposure is associated with increased risk of dyslipidemia among primary school students. To protect the health of primary school students, effective measures should be taken to improve air quality.

ObjectiveTo explore the establishment of performance assessment indicators for the classification and grading of public health staff in district-level Centers for Disease Control and Prevention (CDCs), and to provide a basis for such evaluations. MethodsThrough literature review and group interviews, performance evaluation indicators were developed based on competency evaluation. Experts were invited to evaluate the weight of performance evaluation indicators for public health staff from different categories, with the average value used to represent the weight of each indicator. ResultsTwenty-nine experts from universities in Shanghai, municipal CDCs, and district CDCs participated, yielding an expert authority coefficient of 0.86. The performance evaluation indicators for department managers were categorized into three levels, with 4 indicators at the primary level, 16 indicators at the secondary level, and 42 indicators at the tertiary level, while those for general staff included 4 primary indicators, 15 secondary indicators, and 36 tertiary indicators. Significant differences were observed in the weight coefficients of the primary indicators (internal operations, professional work, and learning and growth) between department managers and general staff. The top three secondary indicators for department managers were department management, monitoring and prevention, and level of expertise. For mid-level and senior staff, the top three secondary indicators were monitoring and prevention, level of expertise, and research work. The top three secondary indicators for junior staff were monitoring and prevention, professional expertise, and professional attitude. No significant statistical differences were found among tertiary indicators. ConclusionThe developed performance evaluation indicators are reliable. Staff at different levels and classifications should be evaluated using different performance evaluation standards to accurately reflect individual performance and contributions.

OBJECTIVE To predict and validate the potential mechanisms of Kaixinsan （KXS） in ameliorating neuroinflammation in Alzheimer’s disease （AD）. METHODS Network pharmacology was employed to identify core anti- inflammatory components and key inflammatory targets of KXS for AD. Gene ontology （GO） functional annotation， Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment， and molecular docking were performed. Based on these findings， male SD rats were used to establish an AD model via chronic D-galactose induction. The effects of KXS on AD rats were evaluated， including quantitative behavioral score， learning and memory parameters （escape latency， platform crossings， platform quadrant distance and time）， organ indexes （heart， liver， spleen， thymus）， histopathological alterations in the hippocampus， and expressions of inflammation-related pathway proteins and their upstream/downstream regulators. RESULTS Core anti-inflammatory components of KXS for AD included gomisin B， panaxytriol， gomisin A， enhydrin， vulgarin and panaxydol， while key inflammatory targets involved nuclear factor-kappa B subunit 1（ NFKB1）， nuclear factor-κB p65（ NF-κB p65）， interleukin-1β（ IL- 1β）， IL-6， Toll-like receptor 4 （TLR4）， tumor necrosis factor， nucleotide-binding domain leucine-rich repeat and pyrin domain- containing receptor 3 （NLRP3） and caspase-1 （CASP1）. GO and KEGG pathway enrichment involved inflammatory response， phosphorylation and the NF-κB signaling pathway. Molecular docking confirmed strong binding affinities between core components and key targets. Animal experiments demonstrated that， compared to the model group， KXS significantly alleviated histopathological damage （e.g.， neuronal shrinkage， reduced Nissl bodies in hippocampal CA1， CA3， and DG regions）， increased organ indexes （except for liver index） and Nissl-stained positive cells， improved learning and memory performance， and reduced behavioral scores （at the 8 and 12 weeks of the experiment） and protein expression of NF- κB p65， phosphorylated NF- κB p65， TLR4， NLRP3， CASP1 and IL-1β. CONCLUSIONS KXS effectively mitigates neuroinflammation， reduces hippocampal neuronal injury， and enhances learning and memory ability in AD rats， potentially through suppressing the NF-κB signaling pathway and its upstream/ downstream regulators.

To explore the inhibitory effect of ginkgolide B (GB) on MH7A human fibroblast-like synoviocytes (FLS) and its potential mechanism. Firstly, 20 μg/L tumor necrosis factor-α (TNF-α) was pretreated with MH7A to establish a cell model of arthritis. After incubation of MH7A cells with various concentrations of GB, CCK-8 assay, Transwell assay, and flow cytometry (FCM) were separately used to detect cell viability, cell invasion, and cell apoptosis rate and cell cycle; Real-time quantitative PCR and Western blot assay were performed to detect the apoptosis- and cycle-related gene transcriptions and protein expressions, respectively. The results showed that compared with the control group, GB dose- and time-dependently suppressed cell viability to a greater extent; GB significantly reduced cell invasive ability and increased cell apoptosis rate and proportion of G0/G1 phase in MH7A cells, along with increased transcription levels of Bcl-2-associated X protein (Bax) and p21 mRNA and decreased transcription levels of Bcl-2, myeloid cell leukemia 1(Mcl-1), protein kinase B (PKB; AKT), IP3K, Cyclin D1 and cyclin-dependent kinase 4 (CDK4) mRNA; GB remarkably increased expression levels of Bax, p21, and cleaved-Caspase 3 protein and decreased expression levels of Bcl-2, Mcl-1, p-AKT, p-PI3K, Cyclin D1, and CDK4 protein, with decreased ratios of p-PI3K/PI3K, p-AKT/AKT, and Bcl-2/Bax. In conclusion, GB blocks the G1-to-S cell cycle transition, suppresses cell viability and cell invasion and induces cell apoptosis of MH7A human RA-FLS via suppressing the PI3K/AKT signaling pathway.

Objective: To investigate the trajectories of fasting blood glucose fluctuations and their influencing factors among patients with comorbidity of type 2 diabetes mellitus (T2DM), so as to provide the basis for strengthening blood glucose management in this population. Methods: In October 2023, data of patients diagnosed with comorbid T2DM from January to October 2021, including demographic information, lifestyle, health status and fasting blood glucose were collected through the chronic disease health management system of Minhang District, Shanghai Municipality. Fasting blood glucose fluctuation trajectories were analyzed by group-based trajectory model established based on fasting blood glucose values from January 2021 to October 2023. Influencing factors of fasting blood glucose fluctuation trajectories among patients with comorbidity of T2DM were analyzed using a multinomial logistic regression model. Results: A total of 907 patients with comorbidity of T2DM were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged ≥65 years, accounting for 71.89%. The group-based trajectory model analysis identified three trajectory groups: a low-level stable group (492 cases, 54.24%), a medium-level stable group (287 cases, 31.64%), and a high-level decreasing group (128 cases, 14.11%). Multinomial logistic regression analysis showed that, compared with the low-level stable group, patients with comorbidity of T2DM who had an education level of junior high school or below (OR=1.420, 95%CI: 1.011-1.995) or college degree or above (OR=2.109, 95%CI: 1.249-3.560), as well as those who engaged in regular exercise (OR=1.387, 95%CI: 1.017-1.893), were more likely to be in the medium-level stable group. Patients with comorbidity of T2DM who were overweight or obese (OR=1.675, 95%CI: 1.116-2.513) or had dyslipidemia (OR=3.195, 95%CI: 1.642-6.216) were more likely to be in the high-level decreasing group. Conclusions From January 2021 to October 2023, the fasting blood glucose levels of patients with comorbidity of T2DM exhibited three fluctuating trajectories: low-level stability, medium-level stability, and high-level decline. Compared with the low-level stable group, the medium-level stable group was mainly influenced by educational level and regular exercise. The high-level decline group was primarily affected by overweight/obesity and dyslipidemia.

Objective: To construct air quality health index (AQHI) in Jinhua City, Zhejiang Province based on the exposure-response relationship between air pollutants and years of life lost (YLL), and evaluate the health risk associated with air quality. Methods: Air pollutants and meteorological data in Jindong District and Wucheng District of Jinhua City from 2014 to 2021 were collected through Jinhua Environmental Monitoring Center and Jinhua Meteorological Bureau. Non-accidental death data of residents during the same period was collected through Zhejiang Chronic Disease Monitoring Information Management System. The exposure-response relationship between major air pollutants and YLL was analyzed using a generalized additive model (GAM), and major pollutants were screened for calculating AQHI. The exposure-response relationship between AQHI and YLL was analyzed using GAM. Results: The results of single-pollutant model analysis showed that the lagged effect of PM2.5 on YLL was the largest at lag of 1 day, and the effect of SO2 on YLL was the largest on the same day. The results of dual-pollutant model analysis showed that the impact of PM2.5 on YLL was statistically significant when other pollutants were included at a lag of 1 day, and the impact of SO2 on YLL was statistically significant when NO2 was included on the same day (all P<0.05). The average daily mass concentration of O3 exceeded the standard by a relatively high rate of 42.27% from 2014 to 2021. Based on the analysis results of single-pollutant and two-pollutant models, excessive pollutant condition and relevant research findings, PM2.5, SO2, NO2 and O3 were selected as the major pollutants for calculating the AQHI. The median AQHI value of 1.40 (interquartile range, 1.13) from 2014 to 2021. According to the AQHI classification standard, 94.55% was the time was at low risk, and 4.93% of the time was at medium risk. With an increase in AQHI by one interquartile range, the YLL among the entire population, males, females, <65-year-old and ≥65-year-old populations would increase 6.21, 3.26, 6.46, 4.24 and 10.57 person-years, respectively. Conclusions The air quality health risk in Jinhua City was low at most of the time from 2014 to 2021. An increase in AQHI was associated with an increased risk of YLL among population.

Objective: To investigate the effect of G protein-coupled receptor 108(GPR108) gene knockout on systemic inflammation in lipopolysaccharide(LPS)-induced sepsis mice. Methods: Male C57BL/6 mice and GPR108 gene knockout mice were randomly divided into 4 groups: WT group, WT-LPS group, KO group, KO-LPS group. The physiological characteristics of mice in different groups were observed, and the morphological changes of liver and lung tissues were observed. Macrophages were extracted from bone marrow and subjected to flow cytometry to detect their M1 polarization status. The expression levels of IL-6 in liver and lung tissues, macrophages, and serum were also measured. Results: KO-LPS group mice showed significant liver and lung tissue damage, with a significantly greater number of bone marrow-derived macrophages polarizing towards M1 in the KO-LPS group compared to the WT-LPS group. Additionally, at the tissue, cellular, and serum levels, the expression of IL-6 in the KO-LPS group mice was significantly higher than that in the WT-LPS group mice(P<0.05). Conclusion During the systemic inflammatory infection induced by LPS in mice, the lack of GPR108 exacerbates the systemic inflammatory response. GPR108 has an inhibitory effect on the inflammatory response in mice with LPS-induced sepsis.