Objective To explore the association between dyslipidemia and the level of 8-OHdG/Cr in urine among a population exposed to chronic arsenic.Methods Four hundred and seven subjects were randomly selected in an arsenic-affected area in Inner Mongolia.After blood biochemical examination,all the subjects were divided into 4 groups based on the results of total cholesterol (TC),triglycerides (TG),high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C).The groups consisted of hypercholesterolemia,HDL-C ratio anomaly,combined hypercholesterolemia and HDL-C ratio anomaly,as well as a normal lipid group.Urine samples were collected and 8-OHdG/Cr was measured using the ELISA method.A generalized linear mixed model was used to analyze the association between dyslipidemia and 8-OHdG/Cr.Results The levels of 8-OHdG/Cr as 55.73 (39.90-79.94) ng/mg,58.08 (44.94-69.91) ng/mg,65.28 (49.29-92.95) ng/mg and 51.43 (36.86-68.57)ng/mgin the HDL-C ratio anomaly,hypercholesterolemia,combined hypercholesterolemia and HDL-C ratio anomaly groups and the control group,respectively,which showed significant differences on the levels of 8-OHdG/Cr in the four groups (P=0.006).From the linear regression analysis results showed that the 8-OHdG/Cr level incombined hypercholesterolemia and HDL-C ratio anomaly group was higher (4.25 ± 0.55 ng/mg) than in the control group (3.96 ± 0.55 ng/mg) (P=0.018).After adjusting for important covariates,there was a linear trend between the levels of 8-OHdG/Cr and dyslipidemia (P=0.016).Conclusion Data from our study showed a linear relation between hypercholesterolemia,HDL-C ratio anomaly and the 8-OHdG/Cr level,suggesting that dyslipidemia was associated with oxidative DNA damage among those arsenic-affected people.

Objective To explore the effects of different dietary induction models of inulin， resistant starch RS3 and their complexes on the body weight and intestinal flora in mice. Methods A total of 64 C57BL/6 mice were randomly divided into low-fat control group， low-fat inulin group， low-fat resistant starch RS3 group， low-fat composite group and high-fat control group， high-fat inulin group， high-fat resistant starch RS3 group and high-fat composite group for dietary intervention. The mice were weighed and fresh feces were collected weekly. Diet intervention was continued until the weight of the high-fat control group was more than 14% higher than that of the low-fat control group. The mice were then sacrificed after overnight fasting. Liver and epididymal fat were weighed， and the colon contents were collected for 16S amplicon sequencing analysis. Results In low-fat diet fed mice， the combined induction of inulin and resistant starch RS3 caused a significant decrease in body weight gain. In high-fat diet fed mice， inulin alone and the combined induction both caused a significant reduction in weight gain， and there was no significant difference between the two methods. In the high-fat diet groups， inulin， resistant starch RS3， and the compound could be distinguished by Bacteroides， Bifidobacterium and Alloprevotella respectively. In the low-fat diet groups， inulin， resistant starch RS3， and the composite groups could be distinguished by Coriobacteriaceae_UCG_002， Bacteroides and Helicobacter， respectively. Conclusion Inulin and resistant starch RS3 diet induction can significantly reduce the weight gain of C57BL/6 mice， change the structure of intestinal flora， and show the difference between high-fat and low-fat diets. Inulin and resistant starch RS3 may reduce body weight and promote fat metabolism by changing the structure of intestinal flora.

ObjectiveTo investigate the specific anti-SARS-CoV-2 antibody in adults and above after initial vaccination with inactivated COVID-19 vaccine， and determine the influencing factors. MethodsIn this study， residents aged 18 and above who had completed two doses of inactivated COVID-19 vaccine in Deqing County， Huzhou City， Zhejiang Province were included. Information such as gender， age， type of vaccine and vaccination time were collected， and serum specimens were sampled. Anti-SARS-CoV-2 receptor binding domain （RBD） antibody was quantitatively examined by enzyma-linked immunosorbent assay （ELISA） and influencing factors were determined. ResultsThe median concentration of anti-SARS-CoV-2 IgG antibody in the residents vaccinated with an inactivated booster vaccine was higher than that in those vaccinated with only two doses of COVID-19 vaccine or single dose （P<0.05）. The median concentration of IgG antibody in males was 9.73 （4.01‒23.70） RU‧mL^-1， lower than 17.76 （7.07‒49.23） RU‧mL^-1 in females （P<0.05）. The median concentration in the residents vaccinated with BBIBP-CorV （Sinopharm） was 6.53 （0.97‒13.69） RU‧mL^-1， which was lower than that in those vaccinated with CoronaVac （Sinovac） that was 17.29 （8.54‒43.73） RU‧mL^-1 （P<0.05）. The median concentration in those with BBIBP-CorV was also lower than 12 （5.45‒40.06） RU‧mL^-1 in those with heterologous booster vaccine （P<0.05）. The median concentration was 9.73 （3.83‒23.63） RU‧mL^-1 in the residents with an interval of more than 6 months from the second dose， which was lower than 14.66 （6.36‒35.98） RU‧mL^-1 in those with an interval of 3‒6 months （P<0.05）. Moreover， immune effect was better in females （χ²=16.464， P<0.05）， 18‒45 years（χ²=7.158， P<0.05）， and those vaccinated with CornaVac （χ²=49.637， P<0.05）， while decreased in those with an interval of more than 6 months from the second dose （χ²=8.447， P<0.05）. ConclusionGender， age， and type of vaccine may affect the effect of immunization. The COVID-19 vaccination shows an acceptable immunogenicity in adults； however， it declines in 6 months after vaccination. It warrants strengthening the booster vaccination to maintain the immune response.

ObjectiveAntibiotic resistance genes （ARGs） have received wide attention all over the world. The purpose of this study was to explore the bacterial community structure， the types and levels of antibiotic resistance genes in a water body in east China， and to compare and analyze the characteristics of microbial species distribution and antibiotic resistance gene distribution in various water environments. MethodsA total of 10 households in Haimen City， Jiangsu Province were selected and their surrounding water environment samples were collected. 21 water samples including river water （4）， Mingou water （9） and well water （8） were collected for metagenomics sequencing， assembled with MetaWRAP， annotated with CARD database， and analyzed with R software. ResultsIn various water bodies， the dominant bacteria phyla was Proteobacteria， the dominant bacteria genera were Deuterostomia， Pseudomonas， Flavobacteriales and Streptomycetaceae. The ARGs annotated were mainly composed of quinolones， aminoglycosides， macrolides and beta-lactams antibiotic resistance genes. The top four relative abundance of resistance genes were macB， RanA， evgS and TxR， The average absolute abundance and expression of resistance genes in well water and Mingou water were higher than those in river water. ConclusionMultiple ARGs are detected to varying degrees in well water， river water， and Mingou water bodies， and the expression of resistance genes in well water and Mingou water bodies is higher than that in river water bodies， possibly due to human production and living activities.

ObjectiveTo determine the serum antibody level and risk factors in the adolescent population in a county in Zhejiang Province， following the immunization with inactivated COVID-19 vaccine， and to construct a prediction model for antibody concentration. MethodsWe conducted the study in a county in Zhejiang Province， employing a stratified cluster random sampling strategy in school children who had received the inactivated COVID-19 vaccine. Data on gender， age， type of vaccine， and time of vaccination was collected. Serum samples were also collected to test for anti-S and N IgG antibody against the SARS-CoV-2 by using chemiluminescent immunoassay （CLIA）. Risk factors were determined to construct a prediction model for antibody concentration. ResultsThe IgG antibody concentration was significantly higher in girls， those who received two doses， and those who had simply received the KX vaccine . It decreased with age and time interval between the sampling and last vaccination. The prediction model constructed by random forest regression in the study had a better model fit and predictive ability than that by the multivariable linear stepwise regression. ConclusionGender， age， vaccination dose， type of vaccine， and time of vaccination are associated with vaccination effectiveness of inactivated COVID-19 vaccines in adolescents. Prediction model could predict the antibody level in the vaccinated population， which can provide a new tool for better evaluation of vaccination effectiveness against emerging infectious diseases in future.