Objective:To investigate the effect of type 2 taste receptor(T2R)38 activation on ferroptosis of human airway epithelium NuLi-1 cells induced by cigarette smoke exposure,and to clarify its possible mechanism.Methods:The human airway epithelial NuLi-1 cells were divided into control group(without any treatment),cigarette smoke extract(CSE)group(treated with 5％CSE for 24 h)and CSE+T2R38 specific agonist phenylthiocarbamide(PTC)group(CSE+PTC group)(treated with 5％CSE and 1 mmol·L-1 PTC for 24 h).The expression levels of T2R38 mRNA and protein in NuLi-1 cells in various groups were determined by real-time fluorescence quantitative PCR(RT-qPCR)and Western blotting methods.The cell viabilities in various groups were determined by cell counting kit-8(CCK-8)assay.The activities of inducible nitric oxide synthase(iNOS),endothelial nitric oxide synthase(eNOS),and superoxide dismutase(SOD)in the cells in various groups were measured by kits.DAX-J2 red fluorescence probe was used to determine the levels of nitric oxide(NO)in the cells in various groups.The reactive oxygen species(ROS)levels in the cells in various groups were detected by fluorescent probe kit.The levels of malondialdehyde(MDA),Fe2+,and reduced glutathione(GSH)in the cells in various groups were determined by enzyme-linked immunosorbent assay(ELISA)method.Western blotting method was used to determine the expression levels of nuclear factor erythroid 2-related factor 2(Nrf2)and glutathione peroxidases 4(GPx4)proteins in the cells in various groups.Results:Compared with control group,the expression levels of T2R38 mRNA and protein in NuLi-1 cells in CSE group were increased(P＜0.05).Compared with control group,the viability of NuLi-1 cells in CSE group was decreased(P＜0.05),the activities of iNOS and SOD in cells in CSE group were increased(P＜0.05),the levels of NO and ROS were increased(P＜0.05),the levels of MDA and Fe2+were increased(P＜0.05),and the GSH level and the expression levels of Nrf2 and GPx4 proteins were decreased.Compared with CSE group,the viability of NuLi-1 cells in CSE+PTC group was increased(P＜0.05),the activity of SOD and the GSH level in the cells were increased(P＜0.05),the activity of iNOS in cells was decreased(P＜0.05),the levels of NO and ROS in cells were decreased(P＜0.05),the levels of MDA and Fe2+were decreased(P＜0.05),and the expression levels of Nrf2 and GPx4 proteins were increased(P＜0.05).There was no significant difference in eNOS activity among control group,CSE group,and CSE+PTC group(P＞0.05).Conclusion:Activation of bitter taste receptor T2R38 can inhibit ferroptosis in human airway epithelium NuLi-1 cells induced by cigarette smoke exposure,and its mechanism may be related to the reduction of iNOS activity in the cells.

Although stage Ⅰ non-small cell lung cancer(NSCLC)is a type of malignant tumor that can be cured through surgical treatment,its 5-year recurrence rate is still as high as 10%-29%,with a 5-year survival rate of 77%-93.7%.Therefore,better treat-ment strategies are urgently needed to further improve the long-term survival rate of patients with stage I NSCLC.In recent years,ma-jor breakthroughs have been made in targeted therapy and immunotherapy for locally advanced NSCLC in the perioperative period.It was believed in the past that patients with stage I NSCLC had limited benefits from adjuvant chemotherapy,but there are still controver-sies over whether stage I patients can benefit from perioperative targeted therapy and immunotherapy.Therefore,Chongqing Precision Lung Oncology Group discusses the main issues in the treatment of stage I NSCLC in the perioperative period and provides related rec-ommendations,including the selection and optimization of indications for perioperative targeting therapy or immunotherapy,the formu-lation and optimization of regimens and strategies for single therapy or combined therapy,and the optimal time of perioperative target-ing therapy or immunotherapy,so as to provide guidance for clinical practice.

Objective To investigate and analyze the relationship between bone metabolism indicators,bone mineral density(BMD)T value,osteoporosis and fracture risk in patients with type 2 diabetes mellitus(T2DM).Methods A retrospective analysis was conducted on the clinical data of 175 patients with T2DM ad-mitted to the hospital from January to August 2024.According to the T value,they were divided into the oste-oporosis group(n=65),the osteopenia group(n=50),and the normal bone mass group(n=60).The general clinical data and bone metabolism indicators were compared among the three groups,including 25-hydroxyvi-tamin D3[25-(OH)D3],osteocalcin(OC),calcitonin(CT),type Ⅰ procollagen amino-terminal peptide(PⅠNP)and β-collagen degradation products(β-CTX),parathyroid hormone(PTH),T value,and the differences between the fracture risk assessment tools[FRAX,including 10-year major osteoporotic fracture(MOF)risk and 10-year hip fracture(HF)risk],analyzed the influencing factors of osteoporosis in T2DM patients,as well as the relationship between bone metabolism indicators,T values and fracture risk.Results The results of un-ivariate and multivariate logistic regression analyses showed that PⅠNP and β-CTX were risk factors for oste-oporosis in patients with T2DM,while estradiol(E2),testosterone(T),25-(OH)D3,OC,and T values were all protective factors(P<0.05).The 10-year risks of MOF and HF in the osteoporosis group were higher than those in the osteopenia group and the normal bone mass group,while the 10-year risks of MOF and HF in the osteopenia group were higher than those in the normal bone mass group,the differences were statistical-ly significant(P<0.05).According to Pearson correlation analysis,25-(OH)D3 and T values were negatively correlated with the risks of 10-year MOF and HF,while OC,PⅠNP,and β-CTx were positively correlated with the risks of 10-year MOF and HF(P<0.05),CT and PTH were not correlated with the risks of 10-year MOF and HF(P>0.05).Conclusion Bone metabolism indicators and BMD are important influencing factors for the occurrence of osteoporosis in patients with T2DM,and they are closely related to the occurrence of os-teoporotic fractures.Clinically,the monitoring of bone metabolism and BMD in patients with T2DM should be strengthened.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Objective:To investigate the association of the interaction and combined effect of renal function and body mass index (BMI) with the risk for all-cause death in patients with type 2 diabetes mellitus (T2DM) in communities of Jiangsu Province.Methods:The study subjects were from the Comprehensive Research Project of Diabetes Prevention and Control conducted in Jiangsu from December 2013 to January 2014, and follow up was conducted for them until September 30, 2023. A total of 20 025 subjects were included in the study. Cox proportional hazards regression model was used to analyze the association of renal function with risk for death in T2DM patients, and the association of interaction between renal function and BMI and their combined effect with all-cause death risk in T2DM patients.Results:In the follow up for 198 370 person-years, a total of 4 459 deaths were recorded. Cox proportional hazards regression model analysis showed that renal dysfunction was associated with 71% risk of all-cause mortality in all T2DM patients [hazard ratio ( HR) =1.71, 95% CI: 1.59-1.84], as well as in all BMI subgroups. Likelihood ratio test indicated an interaction between renal function and BMI (interaction for P=0.030). Compared with patients with normal renal function and normal BMI, those with normal renal function and over weight or obesity had a lower risk of all-cause mortality, and those with renal dysfunction and low weight had the highest risk for death ( HR=2.78, 95% CI: 1.87-4.14). Conclusions:There is association of interaction between renal function and BMI with all-cause mortality in T2DM patients. T2DM patients with renal dysfunction and low body weight had significant higher risk for death.

Objective:To define the concept of proactive health behavior.Methods:Literature related to proactive health behavior was retrieved from China National Knowledge Infrastructure, Wanfang Data, VIP, SinoMed, PubMed, Web of Science, Embase, and Ovid databases, with a retrieval time frame from database inception to March 1, 2025. Walker and Avant's concept analysis method was used to analyze the concept of proactive health behavior.Results:A total of 46 articles related to proactive health behavior were included. Proactive health behavior encompasses five key attributes: self-initiation, long-term persistence, multidimensional integration, future orientation, and overcoming barriers. Antecedents include individual factors, supportive factors, and environmental factors. Outcomes include promoting individual health and improving quality of life, enhancing personal health literacy, reducing disease burden, and fostering a proactive health atmosphere.Conclusions:The concept attributes of proactive health behavior were clarified through concept analysis. Future researchers may develop proactive health behavior assessment tools and construct intervention strategies based on their connotation.

Objective To analyze the influencing factors of health behaviors in stroke patients,and explore the chain mediating effects of self-efficacy and e-health literacy between the perception of stroke recurrence risk and health behaviors in stroke patients,providing a reference for strengthening the health behavior and reducing recurrence risk in stroke patients.Methods 249 stroke patients were selected as the research objects from March to September 2024 in a tertiary hospital in Shanghai,China.Patients were surveyed using General Information Questionnaire,Stroke Recurrence Risk Perception Scale,Stroke Health Behavior Scale(HBS-SP),Chronic Disease Self-Efficacy Scale(CDSES),and the e-health Literacy Scale(e-HEALS).Pearson correlation analysis was used to explore the correlations among various variables,and SPSS 26.0 software macro program Process Model 6 was used to conduct chain mediation model test.Results The scores of Recurrence Risk Perception,HBS-SP,CDSES and e-HEALS of stroke patients were(42.88±6.48)scores,(68.32±14.13)scores,(6.87±1.55)scores and(27.76±6.06)scores,and all the variables were positively correlated(P<0.01).The mediating effect model showed that self-efficacy and e-health literacy played a chain mediating role in the recurrence risk perception and health behavior in stroke patients,with an effect size of 0.488,accounting for 37.22%of the total effect.Conclusions The recurrence risk perception and health behavior of stroke patients are both at a moderate level.In the future,we can establish a mobile management platform to provide comprehensive health management for stroke patients.Further exploration of strategies to enhance stroke patients'self-efficacy and channels for online health education could be pursued to improve their health behaviors.

Objective:To define the concept of proactive health behavior.Methods:Literature related to proactive health behavior was retrieved from China National Knowledge Infrastructure, Wanfang Data, VIP, SinoMed, PubMed, Web of Science, Embase, and Ovid databases, with a retrieval time frame from database inception to March 1, 2025. Walker and Avant's concept analysis method was used to analyze the concept of proactive health behavior.Results:A total of 46 articles related to proactive health behavior were included. Proactive health behavior encompasses five key attributes: self-initiation, long-term persistence, multidimensional integration, future orientation, and overcoming barriers. Antecedents include individual factors, supportive factors, and environmental factors. Outcomes include promoting individual health and improving quality of life, enhancing personal health literacy, reducing disease burden, and fostering a proactive health atmosphere.Conclusions:The concept attributes of proactive health behavior were clarified through concept analysis. Future researchers may develop proactive health behavior assessment tools and construct intervention strategies based on their connotation.

Objective To analyze the influencing factors of health behaviors in stroke patients,and explore the chain mediating effects of self-efficacy and e-health literacy between the perception of stroke recurrence risk and health behaviors in stroke patients,providing a reference for strengthening the health behavior and reducing recurrence risk in stroke patients.Methods 249 stroke patients were selected as the research objects from March to September 2024 in a tertiary hospital in Shanghai,China.Patients were surveyed using General Information Questionnaire,Stroke Recurrence Risk Perception Scale,Stroke Health Behavior Scale(HBS-SP),Chronic Disease Self-Efficacy Scale(CDSES),and the e-health Literacy Scale(e-HEALS).Pearson correlation analysis was used to explore the correlations among various variables,and SPSS 26.0 software macro program Process Model 6 was used to conduct chain mediation model test.Results The scores of Recurrence Risk Perception,HBS-SP,CDSES and e-HEALS of stroke patients were(42.88±6.48)scores,(68.32±14.13)scores,(6.87±1.55)scores and(27.76±6.06)scores,and all the variables were positively correlated(P<0.01).The mediating effect model showed that self-efficacy and e-health literacy played a chain mediating role in the recurrence risk perception and health behavior in stroke patients,with an effect size of 0.488,accounting for 37.22%of the total effect.Conclusions The recurrence risk perception and health behavior of stroke patients are both at a moderate level.In the future,we can establish a mobile management platform to provide comprehensive health management for stroke patients.Further exploration of strategies to enhance stroke patients'self-efficacy and channels for online health education could be pursued to improve their health behaviors.

Objective:To investigate the association of the interaction and combined effect of renal function and body mass index (BMI) with the risk for all-cause death in patients with type 2 diabetes mellitus (T2DM) in communities of Jiangsu Province.Methods:The study subjects were from the Comprehensive Research Project of Diabetes Prevention and Control conducted in Jiangsu from December 2013 to January 2014, and follow up was conducted for them until September 30, 2023. A total of 20 025 subjects were included in the study. Cox proportional hazards regression model was used to analyze the association of renal function with risk for death in T2DM patients, and the association of interaction between renal function and BMI and their combined effect with all-cause death risk in T2DM patients.Results:In the follow up for 198 370 person-years, a total of 4 459 deaths were recorded. Cox proportional hazards regression model analysis showed that renal dysfunction was associated with 71% risk of all-cause mortality in all T2DM patients [hazard ratio ( HR) =1.71, 95% CI: 1.59-1.84], as well as in all BMI subgroups. Likelihood ratio test indicated an interaction between renal function and BMI (interaction for P=0.030). Compared with patients with normal renal function and normal BMI, those with normal renal function and over weight or obesity had a lower risk of all-cause mortality, and those with renal dysfunction and low weight had the highest risk for death ( HR=2.78, 95% CI: 1.87-4.14). Conclusions:There is association of interaction between renal function and BMI with all-cause mortality in T2DM patients. T2DM patients with renal dysfunction and low body weight had significant higher risk for death.