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 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 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.

To explore the anti-depression effect of Suanzaoren Decoction(SZRD), the regulatory effects on endogenous metabolites in the liver of rats with depression induced by chronic unpredictable mild stress(CUMS) were analyzed by using LC-MS metabolomics. The rats were randomly divided into normal control group, model group, low-dose SZRD group, high-dose SZRD group, and positive drug group. The CUMS depression model was replicated by applying a variety of stimuli, such as fasting and water deprivation, ice water swimming, hot water swimming, day and night reversal, tail clamping, and restraint for rats. Modeling and treatment were conducted for 56 days. The behavioral indexes of rats in each group, including body weight, open field test, sucrose preference test, and tail suspension test, were observed. Plasma samples and liver tissue samples were collected, and the contents of 5-hydroxytryptamine(5-HT), dopamine(DA), and norepinephrine(NE) in plasma were measured using enzyme-linked immunosorbent assay(ELISA). Meanwhile, the regulatory effects of SZRD on the liver metabolic profile of CUMS model rats were analyzed by the LC-MS metabolomics method. The results show that SZRD can significantly improve the depression-like behavior of CUMS model rats and increase the neurotransmitter levels of 5-HT, DA, and NE in plasma. A total of 24 different metabolites in the rats' liver are identified using the LC-MS metabolomics method, and SZRD can reverse 13 of these metabolites. Metabolic pathway analysis indicates that nine metabolic pathways are found to be significantly associated with depression, and in the low-dose SZRD group, four pathways can be regulated, including pentose phosphate pathway, purine metabolism, inositol phosphate metabolism, and sphingolipid metabolism. In the high-dose SZRD group, two metabolic pathways can be regulated, including sphingolipid metabolism and glycerol glycerophospholipid metabolism. Sphingolipid metabolism is a metabolic pathway that can be regulated by SZRD at different doses, so it is speculated that it may be the primary pathway through which SZRD can alleviate metabolic disturbances in the liver of CUMS model rats.
Animals ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Metabolomics ; Depression/metabolism* ; Male ; Liver/drug effects* ; Rats, Sprague-Dawley ; Antidepressive Agents/administration & dosage* ; Serotonin/blood* ; Humans ; Disease Models, Animal ; Behavior, Animal/drug effects*

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 analyze the mediating effect of cardiovascular health status (CVH) on the association between educational level and cardiovascular disease (CVD).Methods:The participants were from Shanghai Suburban Adult Cohort and Biobank, and questionnaire survey, physical examination, blood biochemistry were conducted from 2016 to 2020 for baseline information collection, and follow up was conducted until March 31, 2024 based on the medical data, CVD incidence data and death surveillance data at different levels. The associations of educational level, CVH and time to CVD onset of the study population were analyzed using the accelerated failure time model to analyze the mediating effects of CVH, health behaviors, and health factors in the association of educational level and time to CVD onset. The mediating effects of educational level, gender, and age moderated associations were also analyzed.Results:A total of 57 312 participants were included, with 2 780 new cases of CVD during a median follow-up of 6.71 (6.71-6.72) years, and a mean incidence density of 7.77/1 000 person-years (95% CI: 7.48/1 000 person-years -8.06/1 000 person-years). In total, the less educational level and the lower CVH, the higher CVD incidence density ( P<0.05). The results of accelerated failure time models showed that the time ratio for CVD-free survival was 1.15 (95% CI: 1.06-1.24) and 1.33 (95% CI: 1.10-1.60) for moderate and high educational level, respectively. The results of the mediation effect analysis showed that the association between moderate and high educational level and time to CVD onset was 29.60% (20.50%-50.00%) and 36.10% (23.80%-59.00%), 9.97% (5.07%-20.00%) and 13.84% (6.84%-29.00%), 15.24% (9.64%-27.00%) and 17.55% (11.58%-33.00%) of mediators mediated by CVH, health behaviors, health factors, respectively. Among them, there was an exposure-mediated interaction of educational level and a positive moderating effect of age. Conclusion:CVH, health behaviors and health factors had a proportionate mediating effect in the association between educational level and risk of CVD development.

Objective:To analyze the association of sedentary time and physical activity with the risk of developing chronic obstructive pulmonary disease (COPD) in non-smoking women aged 40 years and above in Songjiang District, Shanghai.Methods:Based on a natural population-based cohort in Songjiang, a total of 18 707 non-smoking women who were aged 40 years and above and without COPD at baseline survey were enrolled in the study. Cox proportional risk regression model was used to analyze the associations of the duration of sedentary behavior, physical activity with the risk for COPD at baseline survey, and the hazard ratio ( HR) of risk for COPD and its 95% CI were calculated. Stratified analyses were performed based on age, BMI, history of respiratory diseases and so on. Sensitivity analyses were conducted by excluding the cases diagnosed with COPD within one year after the baseline survey. Results:As of March 31, 2024, a total of 691 new COPD cases had been recorded after a median follow-up time of 6.96 years with an incidence density of 53.22 per 10 000 person-years. After adjusting for relevant confounders, in the tertile subgroups of sedentary time, the risk for COPD reduced by 17% in the short sedentary time group compared with the long sedentary time group ( HR=0.83,95% CI:0.70-0.99). Compared with the low physical activity level and long sedentary time group, the risk for COPD reduced by 24% in the high physical activity level and short sedentary time group ( HR=0.76, 95% CI: 0.61-0.95) and by 23% in the low physical activity level and short sedentary time group ( HR=0.77, 95% CI: 0.60-0.97). Compared with the non-physical exercise and long sedentary time group, the risk for COPD reduced by 28% in the non-physical exercise and short sedentary time group ( HR=0.72, 95% CI: 0.60-0.87). These associations remained when the cases diagnosed with COPD within one year of the baseline survey were excluded. Conclusions:Increasing physical activity and reducing sedentary time have beneficial effects to prevent COPD in non-smoking women, and reducing sedentary time alone may also reduce the risk for COPD if increasing physical exercise or other physical activity is not possible.

Objective:To explore the feasibility of automatic target volume tracing in the Elekta Unity magnetic resonance imaging (MRI)-guided radiotherapy system and to further enhance the real-time target volume tracing performance of MRI-guided radiotherapy by introducing the deep learning technology based on a large Transformer model.Methods:A total of 4 661 frames of cine MRI binary images from 75 patients with malignant tumors in the chest/abdomen who were treated with MRI-guided radiotherapy were retrospectively collected as a training set. Another 500 frames of cine MRI binary images from 10 patients were collected as an independent test set. A module for medical image format conversion was developed to convert binary images into medical meta-images. The outer contours of tumor target volumes in the cine MRI images of the test set were manually delineated as actual control labels. With the first frame of the cine MRI images of each patient as the reference image and the other frames as motion images, a Transformer-based deep learning model was constructed to describe the deformable vector field (DVF) of motion images relative to the reference image. The Dice similarity coefficient (DSC), the 95% Hausdorff distance (HD 95), the negative Jacobian determinant (NegJ), and the average processing time per frame of cine MRI images were calculated. These values were compared to those of the conventional B-Spline scheme to quantitatively assess the target volume tracing accuracy, DVF physical plausibility, and execution efficiency of the Transformer-based deep learning model. Results:The Transformer-based deep learning model constructed in this study delivered superior target volume tracing performance, with improved DSC [(0.84 ± 0.05) vs. (0.74 ± 0.16), t = 11.44, P < 0.05] and HD 95 [(9.25 ± 2.98) vs. (14.70 ± 8.55) mm, t = -11.83, P < 0.05]. Furthermore, this model reduced the average image processing time from 1.95 s to 30.99 ms, enhancing the efficiency by two orders of magnitude. Besides, this model yielded NegJ similar to that of the B-Spline scheme. This suggests that the DVF extracted using this model had comparable physical plausibility with that obtained using the B-Spline scheme. Conclusions:The Transformer-based deep learning model for automatic target volume tracing fills the functional gap of the Elekta Unity MRI-guided radiotherapy system, facilitating relatively accurate, efficient automatic tracing of moving tumor targets in the chest and abdomen.

Objective To develop a risk management system for complications associated with peripheral venous indwelling needles and to evaluate its application effect in order to reduce the risk of related complications.Methods We designed a comprehensive risk management system for peripheral intravenous indwelling needle complications,integrating specialized evidence-based guidelines with clinical practice insights,including 5 modules:intelligent assessment and decision support,intelligent inspection reminders,educational modules,collaborative case management procedures,and a knowledge base.Patients admitted to the neurology and internal classification metabolism departments of a tertiary hospital in Jilin Province were conveniently selected as the research subjects.Patients were assigned to a control group(from May to July 2022,before the implementation of the system)and an experimental group(from September to December 2022,after the implementation of the system).The incidence of complications,duration of indwelling needle,compliance rate of core indicators for nursing quality and number of nursing consultations were compared between the groups.Additionally,a self-administered questionnaire was used to assess clinical nurses'evaluations of the system.Results A total of 189 patients were included in the experimental group and 177 patients in the control group.The incidence of complications associated with peripheral intravenous indwelling needles was lower than that in the control group.The duration of indwelling peripheral intravenous needles was longer than that in the control group.The quality compliance rate of peripheral venous indwelling needle care in the experimental group was higher than that in the control group,and the number of consultation cases in the experimental group was higher than that in the control group.Comparisons between the 2 groups showed statistically significant differences for all indicators(P＜0.05).The nurses'recognition rates for the system's user-friendliness,professional guidance,and patient benefit were 77.78％,81.74％,and 82.13％,respectively.Conclusion The application of a peripheral vein indwelling needle complication risk management system can reduce the incidence of complications,prolong the duration of indwelling,and improve nursing quality.Nurses have a high recognition of this system.

BACKGROUND:Graphene oxide,with its excellent physical and chemical properties and biocompatibility,can promote the differentiation of osteoblasts and inhibit the proliferation of bacteria,which will hopefully improve the success rate of implant restoration.OBJECTIVE:To summarize the research progress of graphene oxide in the field of dental implant restoration.METHODS:The related articles published by CNKI,WanFang Database,ScienceDirect,and PubMed from January 2000 to June 2024 were searched by computer.The keywords were"graphene oxide,dental implantation,biocompatibility,antibacterial mechanism,osteoblasts,mechanical properties,chemical properties"in Chinese and English.By reading the titles and abstracts,we preliminarily screened out the documents irrelevant to the topic of the article.According to the inclusion and exclusion criteria,65 documents were finally included for analysis.RESULTS AND CONCLUSION:Graphene oxide can increase the innate immune protection response of the body through its own antibacterial and drug-loaded antibacterial abilities,thus inhibiting the occurrence and development of periimplant inflammation.Graphene oxide can promote the proliferation and differentiation of bone marrow mesenchymal stem cells,enhance the proliferation of osteoblasts and vascular endothelial cells,inhibit the proliferation of osteoclasts,increase the rate of bone bonding between implants and alveolar bones,and contribute to the formation and stability of bone around implants.Graphene oxide can promote the combination of implant and gingival tissue,and reduce the occurrence of inflammation.Graphene oxide has low toxicity,and its biological safety needs further study.Graphene oxide coating endows the surface of titanium implant with excellent physical and chemical properties,which can greatly reduce the occurrence of complications such as implant fracture and prolong the survival time of implant.