To investigate the interaction between overweight/obesity and dyslipidemia on hyperuricemia (HUA), and to provide scientific basis for the prevention and treatment of HUA.

The data were derived from the physical examination records of workers at the Xishan Coal and Electricity Group in 2018, encompassing a total of 38 615 study participants.SAS 9.3 software was used to conduct χ² test and multivariate logistic regression analyses. Additive interaction model was used to analyze the interaction between overweight/obesity and dyslipidemia on HUA.

The prevalence rate of HUA was 18.28%. After adjusting for gender, age, smoking, drinking, systolic blood pressure, diastolic blood pressure, fasting blood glucose and blood creatinine, the results of multivariate logistic regression analyses showed that overweight/obesity (OR=2.756, 95%CI: 2.584-2.939) and dyslipidemia (OR=2.221, 95%CI: 2.100-2.349) were associated with a higher risk of HUA, respectively. Interaction analyses showed a synergistic additive interaction between overweight/obesity and dyslipidemia on the prevalence of HUA, with those who were overweight/obese and dyslipidemic having a higher risk of HUA than those who had neither (OR=4.840,95%CI: 4.452-5.261), and the relative excess risk of interaction (RERI) was 0.4,the attributable proportion of interaction (API) was 0.083, and the synergy index (SI) was 1.116.

Overweight/obesity and dyslipidemia both increase the risk of HUA, and there is synergistic additive interaction between them.Controlling body mass index and lipid levels may prevent HUA.

To understand and assess the health risks of five common chemical pollutants, formaldehyde, ammonia, benzene, toluene and xylene, in indoor air of public places in Xining City, and to provide technical support for environmental health management of public places in Xining City.

From 2020 to 2022, monitoring sites were set up in the western and central districts of Xining City to monitor the data of common chemical pollutants in hotels and barbershops, and conduct health risk assessment of chemical pollutants according to the Technical Guide for Environmental Health Risk Assessment of Chemical Substances (WS/T 777-2021).

From 2020 to 2022, there were 238 monitoring points in the hotel, only 2 formaldehyde monitoring points exceeded the standard. The total qualified rate of formaldehyde in the hotel was 99.16%, and the total qualified rate of benzene, toluene and xylene in the hotel was 100%. There are 47 monitoring points in barbershop, and the total pass rate of formaldehyde, benzene, toluene, xylene and ammonia at each monitoring point is 100%. The concentration of benzene in indoor air in barbershop (0.001 mg/m³) was lower than that in hotel (0.002 mg/m³), and the difference was statistically significant (Z=-2.708, P<0.05). Among 47 monitoring points in barbershop, 23 monitoring points had a risk between 10^-4 and 10^-6, accounting for 48.9%, and the rest had a risk value higher than 10^-4; Among 238 monitoring points in hotel, 154 monitoring points had a risk between 10^-4 and 10^-6, accounting for 64.7%, and the rest had a risk value higher than 10^-4; There were 34 monitoring sites in barbershop with risk less than 10^-6, accounting for 72.3%, and 138 monitoring sites in hotel with risk less than 10^-6, accounting for 58%. The risk values of P₇₅ and maximum concentration of both sites were greater than 10^-6. Hotel formaldehyde has 150 monitoring points HQ>1, accounting for 63%, the maximum risk value is 3.6; There were two monitoring points for benzene with HQ>1, accounting for 0.8%, and the maximum risk was 1.08. All HQ of toluene and xylene are less than 1. There were 31 monitoring points for formaldehyde in barbershop, HQ>1, accounting for 66%, and the highest risk value was 3.72. HQ of other pollutants is less than 1.

The concentration of five chemical pollutants in the air of public places in Xining City from 2020 to 2022 basically meets the requirements of the national standard, but the carcinogenic risk and non-carcinogenic risk caused by formaldehyde and benzene should be paid attention to.

To explore the causal association between gut microbiota and type 2 diabetes mellitus (T2DM) using two-sample Mendelian randomization.

The data of single nucleotide polymorphisms (SNP) of gut microbiota as an exposure factor and type 2 diabetes mellitus as an outcome variable were obtained from the public genome-wide association study database. MR-Egger, weighted median method, inverse variance weighted method (IVW), simple model, and weighted model were used for MR Analysis. The MR-Egger method and IVW method were used for heterogeneity analysis. MR-Egger intercept was used to test the pleiotropy of the data, and the leave-one-out method was used for sensitivity analysis to evaluate the robustness of the results.

A total of 7 gut microbiota were found to be associated with type 2 diabetes in East Asians, and the risk bacteria were Eubacteriumnodatumgroup, Ruminococcaceae UCG010, Lachnospiraceae NK4A136 group, Victivall, and protect bacteria were Enterorhabdus, Erysipelatoclostridium, Romboutsia. There were a total of four kinds of intestinal flora in the European population associated with type 2 diabetes, dangerous bacteria were Howardella, Eubacteriumruminantiumgroup, Eubacteriumventriosumgroup, and protect bacteria were FamilyXIIIAD3011group.

Specific gut microbiota may have causal effects on the risk of type 2 diabetes.

To analyze the epidemic characteristics of infectious disease public health emergencies in Beijing in recent 10 years, and to provide reference for the prevention and control of infectious disease public health emergencies.

Descriptive epidemiological methods were used to analyze the occurrence characteristics of public health emergencies of infectious diseases in Beijing from 2014 to 2023.

From 2014 to 2023, a total of 443 public health emergencies of infectious diseases were reported in Beijing, with 7 334 cases and 20 deaths. The incidence rate was 1.56% and the fatality rate was 0.27%. There were 240 unclassified incidents (54.18%) and 202 general incidents (45.60%). The main categories were Class B incidents and Class C incidents, with 202 events (45.60%) and 98 events (22.12%) reported respectively. The main transmission routes were life contact transmission, water and food transmission and vector animal and plant transmission, with 192 evens (43.34%), 36 evens (8.13%) and 29 evens (6.55%) reported respectively. The main occurrence places were home and school, with 215 events (48.53%) and 136 events (30.70%) reported respectively. The peak months were June-August and January-February, with 149 events (33.63%) and 105 events (23.70%) reported respectively. The prediction accuracy of the grey model GM(1,1) is excellent, but the difference between the predicted value and the actual value in 2020-2023 is large.

The COVID-19 pandemic has significantly changed the rising trend of public health emergencies of infectious diseases in Beijing, but the prevention and control work in the post-COVID-19 era should not be ignored, and the comprehensive prevention and control of key infectious diseases and imported infectious diseases should be strengthened in key seasons and places.

To investigate the differences in gut flora between infants and children aged 0~3 years with atopic dermatitis (AD) and healthy infants and children.

General information and fecal samples were collected from children with AD aged 0-3 years (AD group) and healthy infants and children (HC group). T Test and Chi-Square Tests were used to analyze the general information of infants and children in two groups, and 16S rRNA sequencing technology combined with bioinformatics analysis to compare the diversity and differences of intestinal flora in two groups.

General information only history of allergy in the immediate family was significantly different between the two groups (χ²=13.875, P<0.001). The difference in the diversity of Gut microbiota between the two groups was not statistically significant. At the gate level, the relative abundance of Verrucomicrobiota was significantly lower in the AD group than in the HC group (P=0.027), whereas the relative abundance of Fusobacteriota was significantly higher than in the HC group (P=0.038). At the genus level, the relative abundance of the genera Cetobacterium (P=0.010), Dysgonomonas (P=0.013), and Fusicatenibacter (P=0.044) in the AD group was significantly higher than that in the HC group, while the relative abundance of the genera Actinomyces (P=0.029), Collinsella (P=0.017) and Eggerthella (P=0.028) were significantly lower in relative abundance than the HC group. LEfSe analysis showed that the relative abundance of Coriobacteriaceae (P=0.017) and Bifidobacterium_longum (P=0.002) in the AD group was significantly lower than that in the HC group.

There are some differences in the composition of the Gut microbiota between the AD and HC groups. Differential microorganisms such as Fusicatenibacter, Eggerthella, Actinomyces and Bifidobacterium_longum may have a correlation with AD development, suggesting that regulating the Gut microbiota early in life may prevent and treat AD.

To analyze the causal relationships between basal metabolic rate(BMR) and frailty index (FI) based on bidirectional two-sample mendelian randomization(MR).

The data of BMR (n=454 874) and FI (n=175 226) were extracted from the published genome-wide association studies (GWAS). By setting conditions with P<5×10^-8 as the screening criterion, the linkage disequilibrium coefficient set to 0.001 and the width of the linkage disequilibrium region of 10 000 kb, and single nucleotide polymorphisms (SNP) were screened out as the final instrumental variables. Five methods including MR-Egger regression, weighted median, Inverse variance weighted (IVW), simple mode and weighted mode were used for MR analysis, and IVW was used as the main analysis method, and β and 95%CI were used to demonstrate the causal relationship between BMR and FI. MR-Egger intercept and MR-PRESSO analysis were used to test the pleiotropy, and the heterogeneity was analyzed by Cochran Q test of MR-Egger. Leave-one-out test were performed to analyze the sensitivity. Finally, reverse MR analysis was used to verify the robustness of the results.

A total of 787 SNPs associated with BMR and 9 SNPs associated with FI were screened. The MR analysis showed a causal relationship between BMR and FI(Weighted median, β=0.105, 95%CI: 0.063-0.146, P<0.001; IVW, β=0.110, 95%CI: 0.808-0.140, P<0.001; weighted mode, β=0.145, 95%CI: 0.047-0.244, P=0.004). The screened SNPs did not have horizontal pleiotropy because the the MR-Egger intercept was 0.000 2 (P=0.374), Therefore, the MR was an effective method for causal inference in this study. The Cochran Q-test results showed Q=137.053, P=0.188, indicating no heterogeneity among the SNPs included in the MR analysis. And no outlier SNPs were found by MR-PRESSO analysis. The sensitivity analysis based on the leave-one-out method showed that the individual SNP did not affect the robustness of the MR analysis results. No causal relationship between FI and BMR was found in the reverse MR analysis(P>0.05).

Genetically predicted high BMR level is significantly associated with elevated FI, and there is no association in reverse direction, which may provide fresh ideas for proposing feasible interventions to manage frailty.

To assess the potential causal relationship between gut microbiota and the risk of uterine fibroids using a Mendelian randomization approach.

We used the genome-wide association study (GWAS) statistics of gut microbiota published by the Netherlands Microbiome Project in 2022 (n=7 738) and the GWAS data of uterine fibroids from the Finnish R9 database (31 661 uterine fibroid patients and 179 209 controls). Inverse variance weighting (IVW), MR-Egger regression and weighted median method were used to study the causal relationship between intestinal flora and uterine fibroids. Sensitivity analyses were performed to test the reliability of the results of the Mendelian randomization analysis.

IVW results showed that Bacteroides (OR=1.045, 95%CI: 1.006-1.085), Ruminococcaceae (OR=1.119, 95%CI: 1.027-1.219), Roseobacter(OR=1.074, 95%CI: 1.004-1.149), Lactobacillus (OR=1.066, 95%CI: 1.017-1.118) and Firmicutes (OR=1.052, 95%CI: 1.003-1.102) were positively correlated with the incidence of uterine fibroids. No significant statistical difference was foundafter FDR correction (P>0.05).Bifidobacterium was negatively correlated with the incidence of uterine fibroids (OR=0.952,95%CI: 0.921-0.985). The causal association was statistically significant after FDR correction (P<0.05). No significant heterogeneity and horizontal pleiotropy were found in the sensitivity analysis.

Bifidobacterium may be a protective factor for the pathogenesis of uterine fibroids, while Bacteroides, Ruminococcaceae, Roseobacter, Lactobacillus and Firmicutes may be a potential risk factor for the pathogenesis of uterine fibroids. However, more studies are needed to verify the results. This study provides information about the microbiota that can be further studied, which is expected to improve the incidence and prognosis of uterine fibroids.

To provide a theoretical basis for optimizing and improving the culture medium of Yersinia pestis, the effects of different species and different concentrations of animal blood on the growth of Yersinia pestis were investigated.

Ten kinds of animal blood including rat blood, rabbit blood and guinea pig blood at four concentrations of 0.1 %, 0.5 %, 1 % and 2 % were used as blood stimulators to culture Yersinia pestis in the medium. The culture results were observed and the corresponding statistical analysis was carried out.

The effect of 10 kinds of animal blood on the number of Yersinia pestis colonies at 1 % concentration was different (P=0.015 < 0.05), and pig blood was better than chicken blood (P=0.026 < 0.05). The effect of four concentrations of pig blood on the number of Yersinia pestis colonies was statistically significant (P=0.037 < 0.05), and it was better than the blank at 1 % concentration (P=0.002 < 0.05). The effects of ten kinds of animal blood at four concentrations on the length of Yersinia pestis were statistically significant (P<0.001). The difference in the effect of four concentrations of blood on the length of Yersinia pestis in ten animals was also statistically significant (P<0.001).

When observing the number of colonies, the optimal choice is 1% pig blood. In addition, low concentration and easy-to-obtain blood stimulants can be selected as far as possible. To cultivate a better length of Yersinia pestis, the optimal choice is 0.1% rabbit blood, which can achieve the desired experimental results and save costs. In addition, using the Herxheimer’s sensitive medium with only blood stimulator to culture Yersinia pestis, the characteristics of the strain will not undergo L-type transformation, and the overall characteristics of the strain are stable, which is of great significance for the stable passage and preservation of the strain.

To investigate the expression and clinical significance of protein-O-fucosyltransferase 1 in non-small cell lung cancer (NSCLC), so as to provide a reference for the diagnosis and treatment of NSCLC.

The expression of POFUT1in NSCLC was determined by TCGA, UALCAN database and immunohistochemistry. Based on the clinical data form TCGA database were extracted for survival analysis by Kaplan-Meier method, and analysis of the effect of POFUT1 mRNA expression level on prognosis of patients with NSCLC.

POFUT1 was highly expression in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tissues (all P<0.05). The expression level of POFUT1 mRNA in LUAD was correlated with clinical stage (P<0.001) and that in LUSC was correlated with tumor size (P<0.001). COX regression analysis showed that high mRNA expression of POFUT1 (P=0.012), tumor size, clinical stage and lymph node metastasis were associated with the prognosis of LUAD patients (all P<0.001), and clinical stage III-IV was an independent risk factor for LUAD patients. Tumor size (P=0.001), clinical stage III-IV (P=0.006) and high expression of POFUT1 mRNA (P=0.049) were associated with the prognosis of LUSC patients, and tumor size greater than 5cm and high expression of POFUT1 were independent risk factors for LUSC patients. The survival analysis result showed that the survival rate of patients with high expression of POFUT1 was significantly lower than that of patients with low expression.

POFUT1 is highly expressed in NSCLC tissues, and high POFUT1 expression is correlated with poor prognosis in patients. POFUT1 can serve as a biomarker for prognostic evaluation of NSCLC.

To explore the incident response capability of adverse event following immunization (AEFI) of vaccination staff in Chongqing.

Descriptive epidemiological methods were used to analyze the level and influencing factors of AEFI response capability among committees and vaccination workers in basic-level CDC and Vaccination units in Chongqing.

Among the 994 surveyed individuals, 97.0% had a medical background. The survey respondents answered AEFI disposal related questions with a total score of 35, with an average score of (18.0±5.1) points. Vaccination personnel with work experience of 21-30 years scored lower(β=-1.446, 95%CI: -2.888--0.004), and the ones who participated in district and county-level events(β= 3.223, 95%CI: 1.597-4.849), participated in municipal level events(β=3.885, 95%CI: 1.882-5.887), as well as city and district/county level participants(β=4.998,95%CI: 3.292-6.705) scored higher.

The disposal ability of AEFI among the basic-level vaccinators in Chongqing is uneven, and training should be strengthened in the future.