The aim of this study is to test the reliability and validity of the Chinese version of CP-Q among college students.

The English version of the CP-Q was translated, back-translated following the Brislin model, and cultural adaptation was performed to develop the Chinese-version CP-Q.The reliability, validity and feasibility of the questionnaire were evaluated by investigation of questionnaires offline and electronic questionnaires online.

A total of 658 participants were investigated with 593 valid questionnaires obtained, the total effective rate was 90.1%.Subjects finished the Chinese-version CP-Q and Pittsburgh Sleep Quality Index (PSQI); Munich Chronotype Questionnaire (MCTQ) and 24h dietary recalls. Moderate to strong correlations were observed in the sleep/wake schedules between the Chinese-version CP-Q, PSQI and MCTQ, both for work/study days and free days, the highest was the free day sleep time r=0.922(P<0.001).The correlations between sleep, wake, first eating event, lunch time and last eating event in work/study days and free days with the same variables in the 24h recall showed r=0.441-0.659 (P<0.05), in addition to the lunchtime in free days (r=287, P=0.076). A total of 7 items among the 17 variables in the Chinese-version CP-Q evaluated in the test and retest phases presented intraclass correlation coefficients ≥0.75.

The Chinese-version CP-Q has good reliability and validity and could reflect the real situation of eating time and sleeping time. The questionnaire can be used to assess the status of one’s chrononutrition.

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 Rap1/PI3K/AKT signaling pathway in inducing apoptosis of mouse spermatocytes (GC-2 spd) induced by tris (1,3-dichloro-2-propyl) phosphate (TDCIPP)the role of death.

GC-2 spd cells were treated with 0, 15, 30, and 60 μmol/L TDCIPP for 24 hours.Using flow cytometry to detect cell expression levels, Western blotting to examine the expression levels of Rap1, PI3K, AKT, phosphorylated AKT (p-AKT) proteins, as well as related proteins cleared PARP and cleared Caspase-3 in cells, and apoptosis-related proteins cleaved PARP and cleaved Caspase-3 in the cells. ESI09 was used to inhibit the expression of Rap1 protein in GC-2 spd cells, followed by exposure to TDCIPP. Western blotting and flow cytometry were used to respectively assess the protein levels of PI3K, AKT, p-AKT, cleaved PARP, and cleaved Caspase-3, as well as the level of cell apoptosis.

Compared to the control group, the cell apoptosis and expression of cleaved PARP and cleaved Caspase-3 proteins were significantly increased in the TDCIPP-exposed cells (P<0.01). The expression level of Rap1 was significantly increased (P<0.01), while the expression levels of PI3K, AKT, and p-AKT were decreased (P<0.01). Compared to the TDCIPP-exposed group, the expression of Rap1 was down-regulated (P<0.01), while the expression levels of PI3K, AKT, and p-AKT proteins were up-regulated (P<0.05) in the cells co-treated with ESI09 and TDCIPP. Meanwhile, the expression levels of cleaved PARP and cleaved Caspase-3 in the cells, as well as the level of cell apoptosis, were significantly reduced (P<0.05).

TDCIPP induces overexpression of Rap1 protein and obstructs PI3K/AKT signaling transduction, eventually leading to apoptosis of mouse spermatocytes.

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 examine the correlation between body composition and insulin resistance (IR) within the general population of different genders.

The data for this study were sourced from the Hefei area data of the Chinese Residents Cardiovascular Disease and Risk Factors Monitoring Project conducted in 2021, with a total of 1 144 subjects being included,including 568 males and 576 females. The ratio of triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) was used as an alternative indicator of insulin resistance. A chi-square test was employed to analyze the association between body composition metrics—such as body mass index (BMI), percent body fat (PBF), percent body muscle (PBM), visceral fat area (VFG), and waist circumference (WC)—and the TG/HDL-C ratio. Logistic regression analysis was used to identify the factors influencing body composition in individuals with a TG/HDL-C ratio exceeding the tangent point value. The dose-response relationship between body components and the TG/HDL-C ratio was explored using restricted cubic splines, a statistical method that allows for the examination of nonlinear relationships.

The positive detection rate of IR (the rate of TG/HDL-C above the cut point value) was 15.85% in men and 4.69% in women.After adjusting for confounding factors, logistic regression analysis showed that compared with the control group, the risk of IR in the male population was 5.58 times in the obese group (OR=5.58, 95%CI:1.98-15.72), PBF was 7.90 times in the third quartile (OR=7.90, 95%CI:1.68-37.15), the fourth quartile of PBF was 8.20 times (OR=8.20, 95%CI:1.75-38.40), and the third quartile of PBM was 0.27 times (OR=0.27, 95%CI:0.10-0.71), the PBM was 0.09 times in the fourth quartile group (OR=0.09, 95%CI:0.02-0.44), 3.11 times in the group with high VFG (OR=3.11, 95%CI:1.45-6.68), and 4.28 times in the group with higher VFG (OR=4.28, 95%CI:1.45-12.64). Abdominal obesity was 2.21 times (OR=2.21, 95%CI:1.08-4.56). In the female population, the risk of IR was 6.61 times in the obese group (OR=6.61, 95%CI:1.08-65.66) and 8.52 times in the higher VFG group (OR=8.52, 95%CI: 1.90-70.86) (P<0.05). The limited cubic spline showed that BMI, PBF, PBM, VFG, WC had dose-response relationship and approximate linear relationship with TG/HDL-C.

The body composition of community residents is closely associated with the risk of insulin resistance. Individuals who are obese or have high levels of visceral fat are at greater risk for insulin resistance. To mitigate this risk, it is imperative to reinforce lifestyle interventions that prioritize maintaining a higher percentage of muscle mass.

To explore the optimal prediction model for hantavirus hemorrhagic fever with renal syndrome (HFRS) in Hubei province, and to provide a basis for establishing a monitoring and early warning model for HFRS.

Using monthly surveillance data of HFRS incidence in Hubei province from 2005 to 2021, eight single time series models based on exponential smoothing (ETS), seasonal autoregressive integrated moving average (SARIMA) with and without regression variables, a state space model with Box-Cox transformation, ARMA errors, trend, and seasonal components (TBATS), a time series neural network model (NNETAR) with and without regression variables, a linear regression time series model (TSLM), and a cubic spline prediction model (SPLINEF) were used to build 162 models through 1-4 model combinations. The mean absolute percentage error (MAPE) was used as an evaluation index to evaluate the fitting and prediction performance of the models. The comprehensive fitting and prediction performance were evaluated by calculating the mean MAPE of fitting and prediction.

The TSLM model and its combined models had a comprehensive MAPE of more than 100%. Among the other 98 models, the optimal fitting models for single, two, three, and four-model combinations were SPLINEF (11.98%), SARIMA-SPLINEF (15.14%), SARIMA-NNETAR-REG-SPLINEF (16.06%), and SARIMA-TBAT-NNETAR-REG-SPLINEF (17.75%), respectively. The optimal prediction models for single, two, three, and four-model combinations were SARIMA-REG (34.48%), SARIMA-REG-TBATS (22.77%), SARIMA-TBATS-SPLINEF (23.84%), and SARIMA-SARIMA-REG-TBATS-SPLINEF (22.31%), respectively. The optimal fitting and prediction models for single, two, three, and four-model combinations were SPLINEF (24.75%), SARIMA-SPLINEF (22.55%), SARIMA-TBATS-SPLINEF (20.92%), and SARIMA-SARIMA-REG-TBATS-SPLINEF (20.75%), respectively.

Based on the number of models, fitting and prediction accuracy, SARIMA-TBATS-SPLINEF is considered the optimal prediction model and can be used for monitoring and early warning of HFRS in Hubei.

To analyze the characteristics of suspected adverse events following immunization (AEFI) in Guiyang City from 2014 to 2023, to evaluate the safety of immunization in Guiyang City, and to provide guidance for improving AEFI monitoring.

Collect AEFI data and vaccine immunization data in Guiyang City from 2014 to 2023 through the “National Immunization Planning Information System” and “Guizhou Province Immunization Planning Information Management System.” Use descriptive epidemiological methods to statistically analyze the epidemiological characteristics and reported incidence rates of AEFI in Guiyang City.

From 2014 to 2023, Guiyang City reported a total of 4 498 cases of AEFI, with an average annual reported incidence rate of 14.63 per 100 000. The incidence rate was the highest in 2023 (1 358 cases, 42.43/100 000) and the lowest in 2015 (23 cases, 1.85/100 000). The reported incidence rate had a statistically significant difference among different years (χ²=3 638.04,P<0.001). Yunyan District reported the most cases (1 539 cases, 25.86/100 000), while Xifeng County reported the least cases (86 cases, 6.67/100 000), and the difference among different regions was statistically significant (χ²=890.10,P<0.001). The most cases were reported in November (588 cases, 24.7/100 000) and the least in February (136 cases, 8.37/100 000), and there was a statistically significant difference among different months (χ²=277.31,P<0.001). The male-to-female ratio was 1.10：1.00, with the highest reports in the age group ≤1 year (2 697 cases, 59.96%). The outcome was recovery or improvement in 96.47% of cases.

2014-2023 AEFI in Guiyang is mainly a general response and the vaccination safety is good. However, the work carried out in different places varies and the monitoring sensitivity needs to be further enhanced.

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 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 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.