ObjectiveTo investigate the recurrence of ischemic stroke (IS) and to analyze the association between four indices of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) and the risk of IS recurrence by analyzing the follow-up data related to IS in the community-based natural population of Songjiang District, Shanghai, so as to provide a scientific basis for improving the prognosis of stroke patients in the community and controlling IS recurrence. MethodsA prospective follow-up study was conducted among the IS patients in the community-based cohort population, collecting data about patient’s age, gender, disease history, biochemical indicators, and etc. Cox regression model and restricted cubic spline model were used to analyze the relationship between different levels of plasma lipids and the recurrence of IS in these patients. ResultsA total of 1 368 patients with IS were included. The total follow-up duration was 7 171.46 person-years, with a median follow-up time of 6.24 years. There were 420 cases of IS recurrence, resulting in a cumulative recurrence rate of 30.70%. The results of multivariate Cox regression analysis showed that the recurrence risk of IS was reduced when the baseline TC and LDL-C levels of IS patients were in the ranges of 4.65‒5.67 mmol·L^-1 and 2.52‒3.46 mmol·L^-1, respectively. The results of restricted cubic spline analysis showed a U-shaped relationship between baseline TC and LDL-C levels and the recurrence risk in IS patients. ConclusionThe cumulative recurrence rate of patients with IS in the community of Songjiang District in Shanghai is high, and the levels of TC and LDL-C at baseline survey are correlated with the recurrence of IS in these patients. It is suggested to pay more attention to the levels of LDL-C and TC in patients with IS, so as to improve the prognosis.

ObjectiveTo explore the effects of genetic variation of obesity-related biological pathways and gene-obesity interactions on the incidence of gastric cancer, so as to better understand the pathogenesis of gastric cancer and help identify high-risk populations for individualized prevention of gastric cancer. MethodsA case-control study based on the Shanghai Suburban Adult Cohort and Biobank study (SSACB) was conducted on the cases with gastric cancer. A total of 267 cases with gastric cancer and 267 healthy controls matched 1∶1 by age and gender using propensity score were included in the study. After genome-wide genotyping, quality control and imputation, 19 250 single nucleotide polymorphism (SNP) sites from 115 genes in 4 obesity-related biological pathways were extracted. Univariate and multivariate logistic regression analyses were used to evaluate the association between these SNP sites and the risk of gastric cancer, and false positive report probability (FPRP) was used for multiple test correction.Data from Biobank Japan (BBJ) and FinnGen public accessible databases were used to validate significant SNP sites. For validated sites, expression quantitative trait loci (eQTL) analysis and differentially expressed genes analysis were further performed. Additive and multiplicative interactions were used to evaluate the gene-obesity interactions on the incidence of gastric cancer. Additive interaction evaluation indicators included relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI), while multiplicative interaction evaluation indicators include OR_GxE and P_inter. ResultsA total of 41 SNP sites were significantly associated with the onset of gastric cancer (P_adj<0.05, FPRP_0.1<0.1), among which 7 groups of haplotype blocks were formed. ACACB/ rs2268401 [SSACB: P=0.005, BBJ: P=0.049], HRAS/ rs12785860 (SSACB: P<0.001, FinnGen: P=0.045), and PTPN1/ rs6095985 (SSACB: P<0.001, FinnGen: P=0.023) were significantly associated with the risk of gastric cancer after validation in different populations. Among which, the G allele of HRAS/ rs12785860 was correlated with the downregulation of HRAS mRNA expression (P<0.001), and the expression level of HRAS in gastric cancer tissues was higher than that in adjacent normal tissues (P<0.001). Additionaly, JAK1/rs11208559 showed a positive additive interaction with waist circumstance (WC) on the risk of gastric cancer [RERI=2.29(0.06~4.53), AP=0.57(0.23~0.90), SI=4.03(2.20~5.87)]. ConclusionObesity-related biological pathway SNP sites and their haplotypes are associated with the risk of gastric cancer, suggesting that genetic variations in obesity pathways may affect gastric cancer. The HRAS/ rs12785860 is significantly associated with downregulation of HRAS gene expression, which may serve as a potential genetic marker for gastric cancer. JAK1/rs11208559 interacts with obesity additively on the risk of gastric cancer. Individuals with GC+CC genotypes and pre-central or central obesity have an increased risk of gastric cancer, providing clues and evidences for individualized prevention of gastric cancer.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

BACKGROUND: Lung cancer is one of the malignant cancers with the highest incidence rate, and it is important to identify the factors contributing to lung cancer carcinogenesis for prevention. Lifestyle and genetic factors play important roles in cancer development, however the impact of dietary factors, such as soy product intake, on lung cancer risk remains inadequately understood. This study aims to explore the associations between soy product intake, genetic risk, and lung cancer incidence, and validate the consistent effects of soy product intake in European populations, thereby providing new insights for lung cancer prevention. METHODS: Utilizing the Shanghai Suburban Adult Cohort and Biobank (SSACB) (n=66,311), Cox proportional hazards model was adopted to assess the association between soy product intake and lung cancer incidents, followed by subgroup analyses stratified by gender, smoking status, and pathological types of lung cancer. The UK Biobank (UKB) was used for validation of the effect of soy product intake on lung cancer. To investigate the association between genetic factors and lung cancer, in addition to previously reported loci, we incorporated newly identified loci from two independent studies in Southeast China: a nested case-control population from the SSACB cohort (433 cases/650 controls) and a case-control study from the Shanghai Cancer Center-Taizhou cohort (1359 cases/1359 controls). Meta-analysis and Linkage disequilibrium clumping (LD clumping) of the association results identified 23 loci for polygenic risk score (PRS) construction. Subsequently, conditional Logistic regression model was used to assess the association between genetic risk and lung cancer. RESULTS: In SSACB cohort, after adjusting for age, gender, smoking, chronic bronchitis, body mass index (BMI), vegetable intake and red meat intake, sufficient soy product intake was significantly associated with a reduced risk of lung cancer [hazard ratio (HR)=0.60, 95%CI: 0.47-0.77, Padj=6.69E-05], an effect that was consistent in males and females, smokers and non-smokers. In UKB, although the association did not reach statistical significance, a protective trend against lung cancer was also observed (HR=0.76, 95%CI: 0.55-1.06, Padj=0.10). In the nested case-control population within SSACB, a PRS score generated in the Chinese population was significantly correlated with lung cancer risk. After adjustment of age, gender, smoking, chronic bronchitis, and soy product intake, the high-PRS group had a 1.88 times higher risk of lung cancer compared to the low-PRS group (Padj=1.84E-03). CONCLUSIONS The prospective cohort study found that adequate intake of soy products was significantly associated with a reduced risk of lung cancer, while a high PRS is a risk factor for lung cancer development. Integrating soy product intake and PRS into traditional epidemiological risk factor prediction will guide personalized lung cancer prevention and high-risk population stratification.
Humans ; Lung Neoplasms/etiology* ; Male ; Female ; China/epidemiology* ; Middle Aged ; Adult ; Aged ; Prospective Studies ; Biological Specimen Banks ; Risk Factors ; Case-Control Studies ; Cohort Studies

ObjectiveTo analyze the incidence and influencing factors of postherpetic neuralgia (PHN) among herpes zoster (HZ) patients aged 50 years and above in the community-based population of Shanghai who had not received the recombinant zoster vaccine (RZV), so as to provide data support for formulating PHN prevention strategies. MethodsBased on baseline survey data, physical examinations, biochemical indicator tests, annual clinical diagnosis and treatment data from the Shanghai Suburban Adult Cohort, as well as the RZV vaccination data from the vaccination information platform of the Center for Disease Control and Prevention, the cumulative incidence rate of PHN was calculated. Logistic regression analyses were used to analyze the influencing factors of PHN. ResultsA total of 48 261 participants were included in this study, with 2 406 newly diagnosed HZ cases, among whom 11 had received at least one dose of RZV. Among 2 395 unvaccinated HZ patients, 262 new PHN cases were identified, with a cumulative incidence rate of 10.94% (95%CI: 9.72%‒12.26%). Factors influencing PHN incidence included age 70‒79 years (OR=2.069, 95%CI: 1.427‒3.028), history of immunosuppresant utilization (OR=1.592, 95%CI: 1.227‒2.072), and history of stroke (OR=1.657, 95%CI: 1.015‒2.605). For male patients, the influencing factors for PHN were age 70‒79 years (OR=2.319, 95%CI: 1.195‒4.802) and history of chronic bronchitis (OR=1.935, 95%CI: 1.010‒3.517), whereas, for female patients, age 70‒79 years (OR=1.767, 95%CI: 1.107‒2.831), history of immunosuppresant use (OR=1.603, 95%CI: 1.151‒2.245), history of stroke (OR=1.906, 95%CI: 1.059‒3.277), and alcohol consumption (OR=3.698, 95%CI: 1.093‒12.517) were influencing factors for PHN. ConclusionIndividuals with advanced age, history of immunosuppresant utilization, stroke, chronic bronchitis, and alcohol consumption are at high risk for PHN. These individuals should be prioritized for RZV vaccination to reduce the occurrence of PHN and improve their quality of life.

Objective:To investigate the mechanism of transient receptor potential vanilloid subfamily 1(TRPV1)-mediated microglia autophagy in postherpetic neuralgia.Methods:Forty mice were randomly divided into control group,postherpetic neuralgia(PHN)group,PHN-sh-NC group,and PHN-sh-TRPV1 group,with 10 mice in each group.We tested the mice's mechanical withdrawal threshold(MWT)and thermal withdrawal latency(TWL);measured serum levels of tumor necrosis factor-alpha(TNF-α),interleukin(IL)-1β,IL-6,and brain-derived neurotrophic factor(BDNF)by enzyme-linked immunosorbent assay;assessed the formation of au-tophagosomes in the spinal cord tissues by transmission electron microscopy;measured the expression of microtubule-associated pro-tein 1 light chain 3(LC3)and ionized calcium binding adaptor molecule 1(Iba-1)in the spinal cord tissues by immunofluorescence assay;and determined the protein expression of Beclin-1,microtubule-associated protein 1 light chain 3B(LC3B),and p62 in the spinal cord tissues by Western blot.Results:Compared with the control group,the PHN group and PHN-sh-NC group had sig-nificant decreases in MWT,serum BNDF level(t=10.49,P<0.001),and p62(P=0.004)protein expression in the spinal cord tissues and significant increases in TWL,serum TNF-α(t=26.27,P<0.001),IL-1β(t=17.0,P<0.001),and IL-6 levels(t=25.48,P<0.001),and the expression of Iba-1(P=0.002),LC3(P<0.001),LC3B(P=0.001),and Beclin-1 proteins(P=0.001)in the spinal cord tissues.Compared with the PHN group,the PHN-sh-TRPV1 group had a significantly higher MWT,a significantly higher serum BNDF level(t=5.174,P<0.001,a significantly higher p62 protein expression level(P<0.001)in the spinal cord tissues,a significantly lower TWL,significantly lower serum TNF-α(t=20.57,P<0.001),IL-1β(t=8.260,P<0.001),and IL-6 levels(t=19.81,P<0.001),and signifi-cantly lower expression levels of Iba-1(P<0.001),LC3(P<0.001),LC3B(P=0.001),and Beclin-1(P<0.001)in the spinal cord tis-sues.Conclusion:Microglia autophagy is activated in the spinal cord of PHN mice,and suppressing the expression of TRPV1 can in-hibit microglia autophagy to relieve pain in PHN mice.

ObjectiveTo investigate the prevalence of stroke in Songjiang District from 2017 to 2022, to analyze the epidemiological characteristics of stroke incidence, so as to provide a scientific basis for the formulation of stroke prevention and control policies. MethodsData of new stroke incidence from 2017 to 2022 in Songjiang District were obtained from the Shanghai Stroke and Acute Myocardial Infarction Registration and Reporting Information System. In addition, different classifications such as time of onset, gender, age group and types of stroke, were statistically analyzed. Statistical indicators, such as the number of incidence, crude incidence rate, standardized incidence rate and average age of incidence were calculated simultaneously. Joinpoint software were used to calculate the annual change percentage (APC) and the trend of stroke incidence in Songjiang District. ResultsFrom 2017 to 2022, the newly reported cases of stroke were 12 988 in Songjiang District, the crude incidence rate was 325.76/10⁵, and the standardized incidence rate was 127.58/10⁵. The crude incidence rate and standardized incidence rate in males were 363.45/10⁵ and 157.17/10⁵, respectively, but 288.68/10⁵ and 99.02/10⁵ in females. The mean age of onset was (73.12±11.75) years, of which the mean age of onset was (70.86±11.96) years for men and (75.91±10.85) years for women. The incidence of stroke increased with age, rising rapidly after 60 years and reaching a peak in the age group of ≥ 80 years old. The crude incidence rate and standardized incidence rate of stroke in Songjiang District showed a downward trend from 2017 to 2022, with an APC of -6.20% and -8.01%, respectively (P=0.018, 0.007). The newly reported stroke was dominated by ischemic stroke, accounting for 82.81% of the total cases, with a crude incidence rate of 269.77/10⁵ and a standardized rate of 103.84/10⁵. The incidence of stroke presented seasonal characteristics, with the highest incidence in winter, accounting for 26.11% of the whole year. ConclusionThe incidence rate of stroke in Songjiang District shows a declined trend, but the overall incidence is still at a high level. The situation of prevention and control is still serious, with a heavy disease burden. It is necessary to strengthen health education and disease management for the elderly.

ObjectiveTo investigate the relationship between mosquito density fluctuations and meteorological factors, so as to provide a scientific basis for mosquito surveillance analysis, risk assessment, and comprehensive prevention and control. MethodsMosquito surveillance and monitoring data of 2020‒2023 was obtained from on-site supervisory sampling by Songjiang Center for Disease Control and Prevention, and meteorological data was obtained from the Wheat A wheat malt-agro-meteorological big data system. Excel 2019 and SPSS 25.0 software were used to organize and analyze the mosquito number, species composition, and seasonal changes in mosquito density captured by the CO₂-light trap at rach monitoring site. Circular distribution method was used to calculate the peak time of mosquito density, combined with the meteorological data of the same period to explore the impact of meteorological factors on the results of mosquito surveillance. ResultsThere was a statistical difference in the overall distribution of mosquito quantity in different habitats(H=23.11, P<0.05), 2020‒2023. In addition, the results showed that July 28th was the peak day for mosquito density, and the duration from June 13th to September 11th was the seasonal peak period for mosquitoes. Pearson correlation analysis showed a positive correlation between mosquito density and average air temperature, average highest air temperature, average lowest air temperature, extreme maximum air temperature, extreme minimum air temperature, precipitation, and number of precipitation days (all P<0.01). While, there was no significant correlation between average wind speed and mosquito density (P>0.05). Multiple stepwise regression analysis resulted in the equation of Y=0.151X_{extreme minimum temperature}+0.321X_{number of precipitation days}+1.002X_{SQRT precipitation}-1.288 (F=102.635, P<0.05). ConclusionThe CO₂-light trap is advisable to monitor the habitats of farmers, livestock sheds, residential areas, parks, hospitals, and other external environments. Air temperature and precipitation have a significant impact on mosquito density. It is recommended to implement comprehensive prevention and control measures to reduce mosquito density and prevent mosquito-borne diseases before the peak period of mosquitoes.

Background With the aging of China's population, cognitive impairment in the elderly is receiving increasing public attention. Screening and intervention of people with mild cognitive impairment (MCI) are of great significance to prevent and reduce the occurrence of cognitive impairment. Objective To understand the prevalence and explore potential influencing factors of MCI in the elderly in Songjiang District, Shanghai, and to provide scientific basis for promoting early screening of cognitive impairment and precise intervention of MCI in the elderly in this area. Methods A cross-sectional study design was adopted. From August to October 2022, using multi-stage random sampling, 1800 elderly residents aged 60 years and above were screened for cognitive impairment in 6 neighborhood/village committees in 6 towns in Songjiang District. The survey questionnaires included a sociodemographic questionnaire, a health status and lifestyle questionnaire, the Instrumental Activities of Daily Living (IADL), the Patient Health Questionnaire (PHQ-9), and the Mini-Mental State Examination (MMSE). Prevalence rates of MCI among the elderly by selected social demographic characteristics, health status, and lifestyle were estimated, and potential influencing factors of MCI were evaluated by binary logistic regression. Results A total of 209 elderly residents with MCI and 1591 healthy elderly residents were detected, and the prevalence of MCI in the elderly aged 60 and above was 11.6% in Songjiang District. Being physically active (OR=0.556, 95%CI: 0.399, 0.774) reduced the risk of MCI. Illiteracy (OR=1.810, 95%CI: 1.239, 2.644), primary school education level (OR=3.454, 95%CI: 2.342, 5.092), non-participation in social activities (OR=1.945, 95%CI: 1.360, 2.781), IADL damaged (OR=3.173, 95%CI: 2.137, 4.712), and depression (OR=1.957, 95%CI: 1.112, 3.443) increased the risk of MCI (P＜0.05). Conclusion The prevalence of MCI among the elderly in Songjiang District is lower than the national average. Educational level, physical activity, participation in social activities, IADL, and depression may be the influencing factors of MCI in the elderly. It is recommended to carry out early screening, early detection, and early intervention for cognitive impairment in the elderly. Improving involvement in physical exercise and increasing participation in social activities are encouraged. Special attention should be paid to the needs of vulnerable groups such as low education level and disabled elderly during a community MCI intervention program.