To explore the association between Triglyceride Glucose-Body Mass Index (TyG-BMI) and the risk of developing type 2 diabetes mellitus (T2DM).

The data were obtained from the natural population cohort of Shanghai suburbs established from April 2016 to September 2017 (Songjiang subcohort). 29,351 nondiabetic subjects with normal blood glucose levels aged 20-74 years at baseline were included in the analysis. The association and dose-response relationship between baseline TyG-BMI level and the risk of developing T2DM were assessed by Cox proportional risk regression model and restricted cubic spline model. Covariates such as gender and age were stratified according to their covariates and their interaction with TyG-BMI was analyzed.

A total of 584 men and 777 women were initially diagnosed with T2DM after a median follow-up time of 6.98 years. After correcting for confounders, the Cox regression model showed a 58% increase in the risk of T2DM incidence for every 1 SD increase in TyG-BMI (HR=1.58, 95% CI: 1.50-1.66). After grouping TyG-BMI by quartiles and then including it as a categorical variable in the Cox regression model analysis, the risk of T2DM incidence increased progressively in the Q2, Q3, and Q4 groups with HR (95% CI) of 1.42 (1.15-1.75), 2.02(1.66-2.46), and 3.47(2.88-4.19), respectively (P_trend<0.001), using the Q1 group as the control. Restricted cubic spline plots showed a nonlinear association between TyG-BMI and the risk of T2DM incidence (P_nonlinear =0.048). In addition, subgroup analyses showed that the association between TyG-BMI and the risk of developing T2DM was significantly higher in young and middle-aged (less than 60 years old) residents than in older residents (P_interaction < 0.05).

Under normal blood glucose levels, baseline TyG-BMI was positively associated with the risk of developing T2DM, and this association was more significant in the young and middle-aged groups.

To analyze the genotypes and characteristics of HIV-1 transmission network of newly reported HIV/AIDS cases aged 50 and above in Yubei District of Chongqing and provide evidence for effective HIV-1 transmission prevention in Yubei District.

Blood sample of newly reported cases aged 50 and above in 2020-2023 were collected for genetic analysis, partial Pol gene sequences were obtained to construct molecular transmission network. The factors associated with the subjects entering network and characteristics of cluster were further analyzed.

A total of 351 Pol gene sequences were obtained and 9 HIV-1 genotypes were detected. CRF07_BC (57.0%, 200/351) was the major subtypes, followed by CRF08_BC(19.4%, 68/351), the rate of network entry was 57.3%, and 44 clusters were formed. The number of nodes in clusters was between 2-25. People aged 60 and above (60-69years old: aOR=2.25, 95% CI: 1.34-3.80; 70-79years old: aOR=2.93,95% CI: 1.52-5.65), with local household registration in Yubei (aOR=3.10, 95% CI: 1.74-5.52) and genotype CRF07_BC (aOR=2.57, 95% CI: 1.47-4.50) were more likely to have internet access. The proportion of high-risk spreaders was higher among males than among females.

CRF07_BC and CRF08_BC are the major genotypes of HIV/AIDS in people aged 50 years and abovein Yubei District, and CRF07_BC is the genotype of key transmission cluster with high transmission risk.We should strengthen the intervention for the high-risk elderly, and monitor the molecular network dynamically to guide the precise intervention.

The exact causal association between dietary intake and attention deficit hyperactivity disorder (ADHD) is unclear, and this study used two-sample, two-way Mendelian randomization (MR) to conduct causal association analyses between them.

Single nucleotide polymorphism (SNP) loci associated with dietaryintake were extracted from the pooled data of genome-wide association studies (GWAS) as instrumental variables (IV). Causal associations between dietary intake and ADHD were analyzed using the TwoSampleMR package in R software. The main methods used included inverse variance weighting (IVW), MR Egger and weighted median tests. Cochran’Q, MR-Egger, and the "leave-one-out" method were used for heterogeneity test, pleiotropy test, and sensitivity analysis, respectively.

The IVW results showed that avocado (OR=0.309, 95% CI: 0.132-0.719), celery (OR=0.503, 95%CI: 0.380-0.905), mutton/lamb (OR=0.349, 95% CI: 0.170-0.715), shellfish (OR=0.083, 95% CI: 0.011-0.638), grapefruit (OR=0.175, 95% CI: 0.043-0.711) and oily fish (OR=0.687, 95% CI: 0.492-0.960) were negatively associated with the development of ADHD, and naan bread (OR=4.109, 95% CI: 1.079-15.648), average weekly intake of spirits (OR=3.320, 95% CI: 1.419-7.767), intake of artificial sweetener added to cereal (OR=5.064, 95% CI: 1.507-17.017), and standard Tea (OR=1.004, 95% CI: 1.002-1.007) were positively associated with the development of ADHD.

Increased intake of avocado, celery, mutton/lamb, shellfish, grapefruit, and oily fish reduced the risk of ADHD, whereas increased intake of naan bread, average weekly spirits intake, Intake of artificial sweetener added to cereal, and standard tea raised the risk of ADHD.

To explore the causal relationship between left and right handgrip strength and the onset of cognitive decline, providing a reference for developing strategies to prevent cognitive decline in the elderly.

Genome-wide data for left and right handgrip strength were obtained from the UK Biobank, while genome-wide data for cognitive function were sourced from a meta-analysis conducted by the Cognitive Genomics Consortium. The study employed three regression models: Inverse-Variance Weighted (IVW), MR-Egger regression, and Weighted Median, to conduct Mendelian randomization analyses on the causal relationship between left and right handgrip strength and cognitive function.

The IVW model results demonstrated a positive causal relationship between right handgrip strength (β=0.08, 95% CI: 0.03-0.14, P=0.004), left handgrip strength (β=0.08, 95% CI: 0.01-0.14, P=0.017), and cognitive function.

The findings of this study support a positive causal relationship between left-hand grip strength, right-hand grip strength, and cognitive function.

To explore the association between disulfidptosis related genes (DRGs) and the prognosis of breast cancer patients and establish a risk prognosis model and verify it, and provide new biomarkers for the prognosis of breast cancer patients.

CNV landscape was drawnin R language. DRGs of co-correlations and differences were identified.The risk score prognostic model was constructed by using univariate Cox regression analysis and Lasso-Cox regression analysis. Kaplan-Meier survival curve,ROC curve and calibration curve for the model was drawn.A nomogram prognostic prediction model was constructed by combining the clinical features.

A risk prognostic model of breast cancer patients composed of 8 DRGs was constructed, and AUC of the ROC curve at 1,3, and 5 years was 0.809,0.848,0.883. DCA showed that the model could better predict breast cancer prognosis.

This research department has constructed a risk score model with 8 DRGs, which has a good prognostic value and can provide a new direction for the study of breast cancer prognosis.

To analyze the occurrence, regional distribution characteristics, ranking of diseases, and disease spectrum of birth defects in perinatal infants in Xinjiang from January 2019 to December 2022.

Retrospective data were collected from the maternal and child health monitoring data reporting system of the Xinjiang Autonomous Region via the maternal and child health cloud platform, covering all cases of birth defects among infants born in monitoring hospitals from January 2019 to December 2022, specifically those born after 28 weeks of gestation and within 7 days post-delivery, totaling 6 983 cases. General information on mothers, delivery conditions, and general information on infants with birth defects, as well as perinatal outcomes, were collected. Descriptive analysis of the monitoring data on birth defects in Xinjiang from 2019 to 2022 was conducted using incidence rates, composition ratios, χ² tests, and χ² trend tests.

The average annual incidence rate of birth defects in Xinjiang from 2019 to 2022 was 230.103 per 100 000 births, with the incidence rate remaining relatively stable over the four years (χ²=4.757, P=0.190). Significant differences in the incidence rates of birth defects were observed between different regions (χ²=3 039.965, P<0.001). Variations in incidence rates were also noted based on perinatal sex (χ²=37.386, P<0.001), maternal age (χ²=76.313, P<0.001), and urban-rural status (χ²=1 478.493, P<0.001). The top five birth defects identified were congenital heart disease, polydactyly, clubfoot, other malformations of the external ear, and cleft lip.

The incidence of birth defects in Xinjiang remains at a high level, necessitating proactive measures for comprehensive preconception, prenatal, and postnatal prevention and control. Enhancing the quality of maternal and child healthcare during pregnancy and childbirth and promoting prenatal screening and diagnostic techniques across regions are essential to reduce the incidence of birth defects as much as possible.

To introduce the application of the time series generalized regression neural network (GRNN) model in predicting the incidence of viral hepatitis in China and to evaluate its fitting and predictive accuracy.

Monthly incidence data of viral hepatitis from 2004 to 2019 were collected to construct time series. Data from January 2004 to June 2019 were used as training data, while data from July to December 2019 served as testing data. Both GRNN and SARIMA models were established to predict the incidence from July to December 2019, and the predictions were compared with the testing data. The mean absolute percentage error (MAPE) was employed to assess the model’s fitting and predictive performance.

The fitting MAPE for the GRNN model across various types of hepatitis ranged from 1.67% to 21.22%, while the predictive MAPE ranged from 2.26% to 17.17%. In comparison, the SARIMA model’s fitting MAPE for various types of hepatitis ranged from 3.84% to 7.87%, with a predictive MAPE ranging from 2.54% to 48.89%. Notably, the predictive MAPE for hepatitis A was 48.89%, indicating a significant prediction error.

The GRNN model outperformed the SARIMA model in predicting the monthly incidence of viral hepatitis in China, suggesting its suitability for broader application.

To investigate the concentration and genetic variations of SARS-CoV-2 in sewage in Guiyang city from February to December 2023.

A total of 1 034 sewage samples were analyzed for ORF1ab and N gene concentrations using quantitative PCR, and full viral genome sequencing was performed using the Illumina sequencing platform.

Among the 1 034 samples collected, 587 were tested positive for SARS-CoV-2. The median concentration of the ORF1ab gene was 3.69 copies/ml, and the median concentration of the N gene was 7.57 copies/ml. There was a correlation between the concentration of SARS-CoV-2 in sewage and the number of reported cases from medical institutions. Full genome sequencing was conducted on five SARS-CoV-2 positive samples with CT values <32, achieving an average coverage ranging from 63.91% to 97.28%. All viral types identified were Omicron sub lineages, with a total of 110 mutation sites identified. The S protein exhibited 22 amino acid changes, including the critical mutation E484A.

The detection rate of SARS-CoV-2 in urban sewage in Guiyang city is relatively high, and the viral concentration correlates well with clinical cases. The application of whole genome sequencing technology allows for the detection of genetic variants in the viral material present in sewage and identifies multiple mutation sites. Monitoring viruses in urban sewage effectively captures the spatiotemporal trends of the disease, serving as an important complement to clinical testing and providing a reference for local governments to implement precise epidemic prevention policies.

To systematically evaluate the prevalence of oral frailty among community-dwelling elderly individuals, providing evidence-based support for improving oral health and enhancing the quality of life in this population.

A systematic search was conducted across nine databases, including CNKI, VIP, CBM, Wan Fang Data, Web of Science, PubMed, Embase, CINAHL, and The Cochrane Library, from the establishment of the database until June 13, 2024. Two researchers independently screened the literature and extracted relevant information, with data analysis performed using Stata 17.0.

A total of 26 studies met the inclusion criteria, encompassing 32 655 elderly participants. The prevalence of oral frailty (OF) in the community-dwelling elderly was 31.0% (95%CI: 22.6%-39.4%), while the prevalence of pre-oral frailty (pre-OF) was 55.0% (95%CI: 50.9%-59.0%). Subgroup analyses based on assessment tools, age, region, depression status, and living situation revealed the following: the prevalence using the Oral Frailty Index-5 (OFI-5) was 38.2% (95%CI: 35.6%-40.7%), the Oral Frailty Index-6 (OFI-6) was 18.5% (95%CI: 13.3%-23.7%), and the Oral Frailty Index-8 (OFI-8) was 47.2% (95%CI: 37.0%-57.4%); among elderly individuals living alone, the prevalence of OF was 22.1% (95%CI: 17.6%-26.6%) compared to 15.1%(95%CI: 12.4%-17.7%) for those not living alone; the prevalence of OF among depressed elderly individuals was 25.5%(95%CI: 6.6%-34.4%) versus 12.5% (95%CI: 8.1%-16.8%) for non-depressed individuals; the prevalence in Japan was 62.5% (95%CI: 61.1%-63.4%) compared to 44.3% (95%CI: 33.3%-55.4%) in China; and for the age group 60-69 years, the prevalence was 39.2% (95%CI: 35.1%-43.2%), while for those over 70 years, it was 54.6% (95%CI: 37.5%-71.1%).

The prevalence of OF among community-dwelling elderly individuals is notably high. Factors such as the assessment tool used (OFI-8), geographical location (Japan), age over 70, depression, living alone, and lower income are associated with a higher prevalence of OF. This indicates that healthcare professionals should prioritize oral health in the community elderly population, conduct early screenings, and implement relevant intervention measures to enhance the health status of elderly individuals in the community.

To analyze the relationship between the ratio of glycated albumin to glycated hemoglobin (GA/HbA1c)and all-cause mortality in adults with metabolic syndrome MetS.

This study is a retrospective cohort study utilizing data from the National Health and Nutrition Examination Survey (NHANES) and the National Death Index (NDI) from 1999 to 2004. A total of 1 497 eligible participants were included and followed up until December 31, 2019. The relationship between the GA/HbA1c ratio and all-cause mortality in MetS patients was assessed using Kaplan-Meier survival curves, multivariable weighted Cox regression, and restricted cubic splines.

Among a weighted population of 55 224 898 eligible individuals with a median follow-up of 16.3 years, there were 501 cases of all-cause mortality. Participants were divided into three groups(T1, T2, T3) based on weighted tertiles of the GA/HbA1c ratio. After adjusting for covariates, a higher GA/HbA1c ratio (T3) was associated with an increased risk of all-cause mortality in MetS patients compared to the lowest tertile (T1) (HR=1.335, 95%CI:1.010-1.772). The restricted cubic spline analysis also revealed a non-linear “S” shaped relationship between the GA/HbA1c ratio and all-cause mortality (non-linear P<0.05). Subgroup analyses (all interaction P>0.05) and sensitivity analyses (HR=1.344, 95%CI: 1.014-1.783) showed similar results.

There is a non-linear association between the GA/HbA1c ratio and all-cause mortality in patients with metabolic syndrome, with higher GA/HbA1c ratios linked to an increased risk of all-cause mortality in these patients.