Objective: To investigate the association between plant-based diet and different types of obesity, so as to provide references for obesity prevention. Methods: Residents aged 35-75 years from 33 counties (cities, districts) in Zhejiang Province were selected as study subjects using a multistage stratified random sampling method between April and December 2024. Demographic information and living behaviors were collected using questionnaire surveys. Height, weight and waist circumference were measured, and body mass index (BMI) was calculated. BMI ≥28.0 kg/m2 was defined as obesity, waist circumference ≥90 cm in males or ≥85 cm in females was defined as central obesity, and individual with obesity who also had central obesity was defined as having compound obesity. Food intake over a 3-day period was collected using the consecutive 3-day 24-hour dietary recall method. The plant diet index (PDI), healthful plant diet index (HPDI), and unhealthful plant diet index (UPDI) were calculated, and categorized into quintiles (Q1-Q5) based on their distribution. Association between the PDI, PDI, UPDI and different types of obesity were analyzed using multivariable logistic regression models. Results: A total of 4 882 individuals were surveyed, including 2 233 males (45.74%) and 2 649 females (54.26%). The average age was (55.42±12.14) years. There were 537 individuals of obesity, 1 718 individuals of central obesity, and 500 individuals of compound obesity, with detection rates of 11.00%, 35.19%, and 10.24%, respectively. Multivariable logistic regression analysis showed that, after adjusting for demographic information and living behaviors, compared with Q1 group, HPDI Q5 group showed a 29.6% lower risk of obesity (OR=0.704, 95%CI: 0.525-0.943) and a 32.1% lower risk of compound obesity (OR=0.679, 95%CI: 0.502-0.918). Conversely, the UPDI Q5 group exhibited a 39.5% higher risk of obesity (OR=1.395, 95%CI: 1.032-1.886) and a 39.8% higher risk of compound obesity (OR=1.398, 95%CI: 1.025-1.907). No statistically significant association was found between PDI and obesity, central obesity, and compound obesity (all P>0.05). As HPDI increased, the risks of obesity and compound obesity showed decreasing trends; as UPDI increased, the risks of obesity and compound obesity showed increasing trends (all Ptrend<0.05). Conclusion A healthful plant-based diet is associated with reduced risks of obesity and compound obesity, while an unhealthful plant-based diet is associated with increased risks of obesity and compound obesity.

Most cancers are currently incurable, partly due to abnormal post-translational modifications (PTMs). In this study, we initially used multiple myeloma (MM) as a working model and found that SUMOylation activating enzyme subunit 1 (SAE1) promotes the malignancy of MM. Through proteome microarray analysis, SAE1 was identified as a potential target for bioactive colcemid or its derivative colchicine. Elevated levels of SAE1 were associated with poor clinical survival and increased MM proliferation in vitro and in vivo. Additionally, SAE1 directly SUMOylated and upregulated the total protein expression of p27, leading to LLPS-mediated nuclear export of p27. Our study also demonstrated the involvement of SAE1 in other types of cancer cells, and provided the first monomer crystal structure of SAE1 and its key binding model with colchicine. Colchicine also showed promising results in the Patient-Derived Tumor Xenograft (PDX) model. Furthermore, a controlled clinical trial with 56 MM patients demonstrated the clinical efficacy of colchicine. Our findings reveal a novel mechanism by which tumor cells evade p27-induced cellular growth arrest through p27 SUMOylation-mediated nuclear export. SAE1 may serve as a promising therapeutic target, and colchicine may be a potential treatment option for multiple types of cancer in clinical settings.

Objective To investigate the roles of glucose-regulated protein 75(GRP75)and voltage-dependent anion channel 1(VDAC1)in heroin-induced arrhythmia.Methods Based on transcriptomic data from primary myocardial cells treated with heroin and the GSE31821 dataset from the Gene Expression Omnibus(GEO),differentially expressed genes(DEGs)were identified using R software.Enrichment analysis of DEGs was performed.The protein-protein interaction(PPI)network was constructed using STRING database,and key genes were selected using Cytoscape.Molecular docking of key genes was performed using HDOCK,followed by in vivo valida-tion.A total of 60 SD rats were randomly divided into control,model,model+7 d,model+14 d,and model+21 d groups.A rat model of heroin addiction was established,and the expression levels of DEGs in myocardial tissue were assessed using immunohistochemical staining and quantitative real-time PCR.Results A total of 51 DEGs primarily enriched in muscle cell development,myofibrils,actin binding,arrhythmic right ventricular cardiomyopathy,calcium signaling,and apoptosis pathways were identified.Based on the PPI and Cytoscape analyses,GRP75 and VDAC1 were identified as key genes.Molecular docking indicated a strong interaction between GRP75 and VDAC1,which form a stable complex.The results of immunohistochemical staining and qRT-PCR showed that the expression levels of GRP75 and VDAC1 were significantly increased in the model group compared to those in the control group(P＜0.05),and their expres-sion increased(P＜0.05)with the intervention period of heroin in a time-dependent manner.Conclusion GRP75 and VDAC1 may con-tribute to heroin-induced arrhythmogenesis.

Objective To explore the correlation between the characteristics of the endometrial microbiome in patients with recurrent implantation failure(RIF)and the subsequent transplantation outcomes.Methods A total of 438 RIF patients underwent embryo transfer again in our hospital were retrospective selection.According to the pregnancy status of the patients 8 weeks after embryo transfer,patients were divided into the pregnancy group(n=85)and the non-pregnancy group(n=353).The clinical data,characteristics and composition diversity of the endometrial microbiome were compared between the two groups.Binary Logistic regression was used to analyze the influencing factors,and the receiver operating characteristic(ROC)was employed to predict the efficacy of the influencing factors.The interaction between the above-mentioned risk factors and Shannon index in the subsequent transplantation outcomes of RIF patients was further analyzed.Results The levels of basal estradiol(E2),fasting insulin(Fins),total cholesterol(TC)and triglycerides(TG)were significantly higher in the non-pregnant group than those in the pregnant group(P＜0.05).Meanwhile,there were significant differences in the composition of endometrial microorganisms between the two groups(P＜0.05).Among them,the abundance of Fusobacterium phylum,the abundance of Bacillus genus and the α-diversity(Chao1,Shannon,Simpson)index all showed significant differences(all P＜0.05).Binary Logistic regression multivariate analysis showed that the abundance of Fusobacterium phylum increased(OR=1.628,95%CI:1.416-1.841),the abundance of Bacillus genus decreased(OR=0.725,95%CI:0.557-0.934)and E2 increased(OR=1.654,95%CI:1.343-1.965).The elevated insulin(OR=1.691,95%CI:1.393-1.980)and decreased Shannon index(OR=0.388,95%CI:0.075-0.697)were independent risk factors for failure after subsequent transplantation.ROC curve analysis showed that the area under the curve(AUC)of the Shannon index was 0.836(95%CI:0.782-0.890),with the highest predictive efficacy.There was significant interaction among the subgroups of Fusobacteria,Bacillus genus,E2 and insulin in Shannon index on the subsequent transplantation outcomes of patients with RIF.Conclusion The independent risk factors for subsequent transplantation failure in RIF patients can be used as sensitive indicators to predict the subsequent transplantation outcomes of RIF patients,and Shannon index has a higher clinical predictive value.

Objective:To investigate the prospective association between lifestyle and the risk for all-cause mortality in middle-aged and elderly residents in China.Methods:The data from China Health and Retirement Longitudinal Study were used. Baseline information about the lifestyle were collected through questionnaire survey and physical measurements, and the mortality data were obtained through surveys conducted at 2-3 year intervals. A total of 5 436 study participants were included. A comprehensive lifestyle including smoking, alcohol consumption, sleep, BMI and physical activity was constructed, and a multivariate-adjusted Cox proportional hazards regression model was used to estimate the association between lifestyle and the risk for all-cause mortality.Results:During the follow-up of average 8.2 years, 695 deaths were recorded. The comprehensive lifestyle score was linearly associated with the risk for all-cause mortality. Compared with the study participants with comprehensive lifestyle score of 0-1, those with score of 2-5 all had lower risk for all-cause mortality, with HRs of 0.78 (95% CI: 0.62-0.98), 0.56 (95% CI: 0.44-0.72), 0.36 (95% CI:0.27-0.48), and 0.33 (95% CI: 0.21-0.52), respectively. The results of Cox proportional hazards regression model analysis of single lifestyle showed that compared with those with unhealthy lifestyles, the HRs of all-cause mortality for study participants who never smoked, had moderate alcohol consumption, had appropriate night sleep, maintained healthy body weight and kept active physical activity were 0.70 (95% CI: 0.57-0.84), 0.76 (95% CI: 0.64-0.90), 0.79 (95% CI: 0.67-0.94), 0.73 (95% CI: 0.62-0.87), and 0.68 (95% CI: 0.58-0.80), respectively. Conclusions:Keeping healthy lifestyles can significantly reduce the risk for all-cause mortality in middle-aged and elderly residents China. The higher the healthy lifestyle level, the lower the risk for all-cause mortality.

Objective To explore the correlation between the characteristics of the endometrial microbiome in patients with recurrent implantation failure(RIF)and the subsequent transplantation outcomes.Methods A total of 438 RIF patients underwent embryo transfer again in our hospital were retrospective selection.According to the pregnancy status of the patients 8 weeks after embryo transfer,patients were divided into the pregnancy group(n=85)and the non-pregnancy group(n=353).The clinical data,characteristics and composition diversity of the endometrial microbiome were compared between the two groups.Binary Logistic regression was used to analyze the influencing factors,and the receiver operating characteristic(ROC)was employed to predict the efficacy of the influencing factors.The interaction between the above-mentioned risk factors and Shannon index in the subsequent transplantation outcomes of RIF patients was further analyzed.Results The levels of basal estradiol(E2),fasting insulin(Fins),total cholesterol(TC)and triglycerides(TG)were significantly higher in the non-pregnant group than those in the pregnant group(P＜0.05).Meanwhile,there were significant differences in the composition of endometrial microorganisms between the two groups(P＜0.05).Among them,the abundance of Fusobacterium phylum,the abundance of Bacillus genus and the α-diversity(Chao1,Shannon,Simpson)index all showed significant differences(all P＜0.05).Binary Logistic regression multivariate analysis showed that the abundance of Fusobacterium phylum increased(OR=1.628,95%CI:1.416-1.841),the abundance of Bacillus genus decreased(OR=0.725,95%CI:0.557-0.934)and E2 increased(OR=1.654,95%CI:1.343-1.965).The elevated insulin(OR=1.691,95%CI:1.393-1.980)and decreased Shannon index(OR=0.388,95%CI:0.075-0.697)were independent risk factors for failure after subsequent transplantation.ROC curve analysis showed that the area under the curve(AUC)of the Shannon index was 0.836(95%CI:0.782-0.890),with the highest predictive efficacy.There was significant interaction among the subgroups of Fusobacteria,Bacillus genus,E2 and insulin in Shannon index on the subsequent transplantation outcomes of patients with RIF.Conclusion The independent risk factors for subsequent transplantation failure in RIF patients can be used as sensitive indicators to predict the subsequent transplantation outcomes of RIF patients,and Shannon index has a higher clinical predictive value.

Objective:To investigate the prospective association between lifestyle and the risk for all-cause mortality in middle-aged and elderly residents in China.Methods:The data from China Health and Retirement Longitudinal Study were used. Baseline information about the lifestyle were collected through questionnaire survey and physical measurements, and the mortality data were obtained through surveys conducted at 2-3 year intervals. A total of 5 436 study participants were included. A comprehensive lifestyle including smoking, alcohol consumption, sleep, BMI and physical activity was constructed, and a multivariate-adjusted Cox proportional hazards regression model was used to estimate the association between lifestyle and the risk for all-cause mortality.Results:During the follow-up of average 8.2 years, 695 deaths were recorded. The comprehensive lifestyle score was linearly associated with the risk for all-cause mortality. Compared with the study participants with comprehensive lifestyle score of 0-1, those with score of 2-5 all had lower risk for all-cause mortality, with HRs of 0.78 (95% CI: 0.62-0.98), 0.56 (95% CI: 0.44-0.72), 0.36 (95% CI:0.27-0.48), and 0.33 (95% CI: 0.21-0.52), respectively. The results of Cox proportional hazards regression model analysis of single lifestyle showed that compared with those with unhealthy lifestyles, the HRs of all-cause mortality for study participants who never smoked, had moderate alcohol consumption, had appropriate night sleep, maintained healthy body weight and kept active physical activity were 0.70 (95% CI: 0.57-0.84), 0.76 (95% CI: 0.64-0.90), 0.79 (95% CI: 0.67-0.94), 0.73 (95% CI: 0.62-0.87), and 0.68 (95% CI: 0.58-0.80), respectively. Conclusions:Keeping healthy lifestyles can significantly reduce the risk for all-cause mortality in middle-aged and elderly residents China. The higher the healthy lifestyle level, the lower the risk for all-cause mortality.

Objective To investigate the roles of glucose-regulated protein 75(GRP75)and voltage-dependent anion channel 1(VDAC1)in heroin-induced arrhythmia.Methods Based on transcriptomic data from primary myocardial cells treated with heroin and the GSE31821 dataset from the Gene Expression Omnibus(GEO),differentially expressed genes(DEGs)were identified using R software.Enrichment analysis of DEGs was performed.The protein-protein interaction(PPI)network was constructed using STRING database,and key genes were selected using Cytoscape.Molecular docking of key genes was performed using HDOCK,followed by in vivo valida-tion.A total of 60 SD rats were randomly divided into control,model,model+7 d,model+14 d,and model+21 d groups.A rat model of heroin addiction was established,and the expression levels of DEGs in myocardial tissue were assessed using immunohistochemical staining and quantitative real-time PCR.Results A total of 51 DEGs primarily enriched in muscle cell development,myofibrils,actin binding,arrhythmic right ventricular cardiomyopathy,calcium signaling,and apoptosis pathways were identified.Based on the PPI and Cytoscape analyses,GRP75 and VDAC1 were identified as key genes.Molecular docking indicated a strong interaction between GRP75 and VDAC1,which form a stable complex.The results of immunohistochemical staining and qRT-PCR showed that the expression levels of GRP75 and VDAC1 were significantly increased in the model group compared to those in the control group(P＜0.05),and their expres-sion increased(P＜0.05)with the intervention period of heroin in a time-dependent manner.Conclusion GRP75 and VDAC1 may con-tribute to heroin-induced arrhythmogenesis.

Objective To investigate the role of HK2 and VDAC1 in diacetylmorphine-induced cardiomyocyte apoptosis.Methods A dose-escalation method was used to establish a rat model of diacetylmorphine addiction.Forty SD rats were randomly divided into three groups,the normal group(n=10)was injected with an equal amount of saline subcutaneously,the model group(n=15)was injected with 5 mg/kg of diacetylmorphine for the first time,and then the dose was increased by 2.5 mg/(kg·d)day by day for 20 days,and the group of model +10 D(n=15)continued to increase the dose based on the model group up to the 10th day.Lactate dehydrogenase(LDH)and glutamic oxaloacetic transaminase(GOT)were detected by ELISA;HE staining was used to observe the pathological changes of myocardial tissues in each group;TUNEL staining was used to detect apoptosis in myocardial tissues in each group;and immunohistochemistry,RT-q-analysis,and immunochemistry were used to detect apoptosis in myocardial tissues in each group.Immunohistochemistry,RT-qPCR and Western bl-ot were used to detect the mRNA and protein expression of HK2,VDAC1 and apoptosis-related factors.Results HE staining revealed that myocardial tissues exhibited different degrees of damage with the prolongation of diacetylmorphine intervention.Compared with the normal group,serum LDH,GOT content and myocardial apoptosis rate increased in the model group,mRNA and protein levels of HK2 and anti-apoptotic factor Bcl-2 decreased,mRNA and protein levels of VDAC1 and pro-apoptotic factors Bax and Caspase-3 increased,and the protein level of Clevead Caspase-3 increased;in the model +10 D group the above indexes,there was a statistically significant difference(P<0.05).Conclusion Diacetylmorphine can cause cardiomyocyte apoptosis,and VDAC1 may be involved in the process of cardiomyocyte apoptosis caused by diacetylmorphine.

Objective: To understand current status and related factors of breakfast among primary and secondary school students in Zhejiang Province, so as to provide a scientific basis for improving breakfast habits of primary and secondary school students. Methods: During May to November of 2023, 33 326 students from grade four to six of primary schools and grade one to two of secondary schools were selected from 90 counties and cities in Zhejiang Province by using the stratified cluster random sampling method. General information and breakfast consumption were collected by questionnaire. Multivariate Logistic regression was used to analyze the related factors of breakfast. Results: About 81.29% of the primary and secondary school students reported regular breakfast consumption. The rate of regular breakfast consumption was higher on the school days (92.23%) than on the weekends (85.17%), and higher in primary school students (85.83%) compared to secondary school students (74.71%), with statistically significant differences ( χ 2=827.42, 655.03, P <0.01). About 49.19% of primary and secondary school students had their breakfast within 10 minutes or less, and 83.30% of primary and secondary school students had 3-5 food groups for breakfast. The proportions of students who consumed cereals and potatoes, milk, and eggs were respectively 18.76%, 28.85%, 14.63%. About 22.84%, 28.00 %, 32.60% and 32.23% of the students had no meat, soybeans, vegetables and fruits in their breakfast. The results of multivariate Logistic regression analysis showed that girls, rural area, secondary school, place of living (dormitory, others), migrant parent (one or both outside the hometown), late bedtime (22:00-22:59, 23:00 and later) and late wake up time (9:00 and later) on the weekends were positively correlated with no having breakfast every day ( OR=1.22, 1.40, 1.46, 1.20, 1.20, 1.34, 1.36, 1.41 , 3.51, 2.32, P <0.05). The time of physical activity per day (30-<60, 60-<90, 90-120, >120 min), bedtime (21:00-21:59, 22:00-22:59) and wake up time (6:00-6:59, 7:00-7:59) on school days were negatively correlated with no having breakfast every day ( OR=0.75, 0.64, 0.67, 0.64, 0.77, 0.82, 0.75, 0.67, P <0.05). Conclusions There is a considerable number of primary and secondary school students with irregular breakfast consumption, which are related to multiple factors. Therefore, it is necessary to strengthen nutrition education and improve the behavior of breakfast for primary and secondary school students.