The relationship between dietary inflammatory index and metabolic syndrome and its components: a case study in Kashi urban, Xinjiang.

Introduction: This paper examines the association between the dietary inflammatory index (DII) and the risk of metabolic syndrome (MS) and its components among Uygur adults in Kashi, Xinjiang.

Methods: The study used the multi-stage random cluster sampling method to investigate the adult residents of Uighu aged over 18 years old in one county and one township/street of three cities in Kashi between May and June 2021. All dietary data collected were analyzed for energy and nutrient intake with a nutritional analysis software, followed by a calculation of DII.

Chronic disease prevention literacy and its influence on behavior and lifestyle: a cross-sectional study in Xinjiang, China.

Objective: To understand the status and influencing factors of Kyrgyz chronic disease prevention literacy, and to explore the impact of chronic disease prevention literacy on behavior and living habits.

Method: Using stratified sampling method, Kyrgyz residents aged ≥ 18 years in Artush City, Aheqi County and Ucha County were surveyed by questionnaire.

Results: A total of 10,468 subjects were investigated, and the literacy rate of chronic disease prevention in Kyrgyz was 11.

Influenza vaccine effectiveness against influenza A during the delayed 2022/23 epidemic in Shihezi, China.

After the temporary end of COVID-19 in China in February 2023, the influenza epidemic peaked in March across many Chinese places. We recruited a total of 258 all-age subjects presenting influenza-like illness (ILI) in Shihezi city, China from January 1 to March 16, 2023, and tested for influenza virus infection. Using a test-negative design, we assessed influenza vaccine effectiveness (VE) of 56.

Prediction Model of hospitalization time of COVID-19 patients based on Gradient Boosted Regression Trees.

When an outbreak of COVID-19 occurs, it will cause a shortage of medical resources and the surge of demand for hospital beds. Predicting the length of stay (LOS) of COVID-19 patients is helpful to the overall coordination of hospital management and improves the utilization rate of medical resources. The purpose of this paper is to predict LOS for patients with COVID-19, so as to provide hospital management with auxiliary decision-making of medical resource scheduling.

Shift work is associated with an increased risk of type 2 diabetes and elevated RBP4 level: cross sectional analysis from the OHSPIW cohort study.

Background: Shift work, with its growing prevalence globally, disrupts the body's inherent circadian rhythm. This disruption may escalate the risk of chronic diseasesxacerbate chronic disease risk by dysregulating physiological, behavioral, and psychosocial pathways. This study aimed to evaluate the effect of shift work on type 2 diabetes (T2DM) and Retinol binding protein 4 (RBP4) level.

The Effect of the Interaction between Abnormal Body Mass Index and Hypertension on the Risk of Type 2 Diabetes.

Objective: Many patients with type 2 diabetes have an abnormal body mass index (BMI) and hypertension together, but few studies on the interaction of the two on the risk of T2DM are reported. We aim to explore the effect of the interaction between abnormal BMI and hypertension on the risk of type 2 diabetes mellitus (T2DM) in Uyghur residents.

Methods And Results: Based on the physical examination data of 27,4819 Uygur residents in Moyu County, a logistic regression model was used to analyze the correlation between BMI abnormality, hypertension, and T2DM disease, and then, the effect of their interaction on the risk of T2DM was evaluated by an additive model and a multiplicative model.

Long non-coding RNA screening and identification of potential biomarkers for type 2 diabetes.

Background: To investigate new lncRNAs as molecular markers of T2D.

Methods: We used microarrays to identify differentially expressed lncRNAs and mRNAs from five patients with T2D and paired controls. Through bioinformatics analysis, qRT-PCR validation, ELISA, and receiver operating characteristic (ROC) curve analysis of 100 patients with T2D and 100 controls to evaluate the correlation between lncRNAs and T2D, and whether lncRNAs could be used in the diagnosis of T2D patients.

The relationship between polymorphism of insulin-like growth factor I gene and susceptibility to type 2 diabetes in Uygur population, Xinjiang, China.

Background: Type 2 diabetes (T2DM) susceptibility varies among different populations and is affected by gene single nucleotide polymorphism (SNP). Insulin-like growth factor (IGF)-1 gene, which has many SNP loci, is involved in T2DM pathogenesis. However, the relationship of IGF-1 gene polymorphism with T2DM in Uyghur population is less studied.

Nomogram Model for Screening the Risk of Type II Diabetes in Western Xinjiang, China.

Objective: A simple type 2 diabetes mellitus (T2DM) screening model was established preciously based on easily available variables for identifying high-risk individuals in western Xinjiang, China.

Methods: A total of 458,153 cases participating in the national health examination were recruited. Logistic regression and the least absolute shrinkage and selection operator (LASSO) models were used for univariate analysis, factors selection, and the establishment of prediction model.

Correlations between FTO Gene Polymorphisms and TSH Level in Uyghur Chinese Patients with Type 2 Diabetes.

Objective: The aim of this study was to investigate the correlation between polymorphisms in the FTO gene and TSH level in Uyghur patients with type 2 diabetes in the Xinjiang region. . This cohort was made up of 498 Uyghur patients with type 2 diabetes who underwent genotype screening for rs8050136 and rs9939609 using the Sequenom MassARRAY system.

A Non-Invasive Prediction Model for Non-Alcoholic Fatty Liver Disease in Adults with Type 2 Diabetes Based on the Population of Northern Urumqi, China.

Background: High prevalence of non-alcoholic fatty liver disease (NAFLD) occurs in type 2 diabetes mellitus (T2DM), and about 13% of diabetic patients eventually die of liver cirrhosis or liver cancer. The purpose of our research was to develop a non-invasive predictive model of NAFLD in adults with T2DM.

Patients And Methods: Adult patients diagnosed with T2DM during physical examination in 2018 in Urumqi were recruited, in total 40,921 cases.

Prevalence and Correlation of Metabolic Syndrome: A Cross-Sectional Study of Nearly 10 Million Multi-Ethnic Chinese Adults.

Purpose: This study aimed to examine the prevalence and correlates of metabolic syndrome (MetS) in multi-ethnic populations of Northwest China based on Large-scale provincial health checking data.

Patients And Methods: A total of 9,745,640 Chinese aged ≥18 years in Xinjiang, the largest autonomous region of multi-ethnic in China, were enrolled from Feb. to Sep.

Acarbose-metformin is more effective in glycemic variability control than repaglinide-metformin in T2DM patients inadequately controlled with metformin: a retrospective cohort study.

Background: Acarbose and repaglinide are widely used either by themselves or in combination with other medications. However, their efficacy in diabetes control has not been compared when used in combination with metformin.

Methods: The present study aimed to compare their effects on glycemic variability (GV) control when taken with metformin for type 2 diabetes mellitus (T2DM) inadequately controlled with metformin alone.

Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Background: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas.

Methods: A total of 584,168 adult subjects who have participated in the national physical examination were enrolled in this study. The risk factors for type II diabetes mellitus (T2DM) were identified by values and odds ratio, using logistic regression (LR) based on variables of physical measurement and a questionnaire.

Rho-kinase inhibition by Fasudil promotes tumor maturation and apoptosis in small-cell lung cancer.

Small-cell lung cancer (SCLC) is a poorly differentiated neuroendocrine neoplasm with inadequate therapeutic options. Fasudil is a Rho-associated protein kinase 1 and 2 (ROCK1/2) inhibitor whose clinical indications remain limited in cardiocerebrovascular diseases. This study aimed to report a possible implication of Fasudil for SCLC.

A simple nomogram score for screening patients with type 2 diabetes to detect those with hypertension: A cross-sectional study based on a large community survey in China.

Objectives: Compared with unaffected individuals, patients with type 2 diabetes (T2DM) have higher risk of hypertension, and diabetes combined with hypertension can lead to server cardiovascular disease. Therefore, the purpose of this study was to establish a simple nomogram model to identify the determinants of hypertension in patients with T2DM and to quickly calculate the probability of hypertension in individuals with T2DM.

Materials And Methods: A total of 643,439 subjects participating in the national physical examination has been recruited in this cross-sectional study.

Studies on the Inhibitory Effects of Nano-Hydroxyapatite-Loaded As₂O₃ on Hepatoma Cells.

A stable monodisperse hydroxyapatite (HAP) nanoparticle suspension was prepared by chemical method-assisted ultrasound irradiation. HAP nanoparticles were characterized by atomic force microscopy (AFM) and particle size potentiometry. The effects of HAP nanoparticles on BEL-7402 human hepatocarcinoma cells were studied by MTT colorimetric assay and morphological observation.

A nomogram model for screening the risk of diabetes in a large-scale Chinese population: an observational study from 345,718 participants.

Our study is major to establish and validate a simple type||diabetes mellitus (T2DM) screening model for identifying high-risk individuals among Chinese adults. A total of 643,439 subjects who participated in the national health examination had been enrolled in this cross-sectional study. After excluding subjects with missing data or previous medical history, 345,718 adults was included in the final analysis.

PPARγ gene Pro12Ala variants reduce the risk of obese individuals to non-alcoholic fatty liver: A study in Uygur Chinese population residing in Northwestern China.

Objective: To investigate the association of polymorphisms of Pro12Ala of peroxisome proliferator-activated receptor gamma (PPARγ) gene with clinical and biochemical parameters in Uygur Chinese population with non-alcoholic fatty liver (NAFLD) METHODS: In this case-control study, we recruited 467 NAFLD cases and 524 controls. Examination of abdominal ultrasound, clinical and biochemical profiles, as well as polymerase chain reaction-restriction fragment length polymorphisms of Pro12Ala of PPARγ gene were performed. The association of PPARγ gene Pro12Ala variants with clinical and biochemical parameters was analyzed.

SOX11 inhibits tumor proliferation and promotes cell adhesion mediated-drug resistance via a CD43 dependent manner in mantle cell lymphoma.

SOX11 is a critical biomarker for mantle cell lymphoma (MCL) diagnosis; however, its role remains unclear in MCL. Here, clinical-pathological analysis showed Ki67 index was negatively relevant to SOX11 expression only in CD43 positive cases. Coexpression of SOX11/CD43 indicated longer overall survival.

Estimates of beta cell function adjusted by anthropometric markers in patients with T2DM.

We sought to determine whether adjusting the indices used to assess beta cell function by anthropometric markers of obesity improves their clinical value in a diabetic population. We conducted a cross-sectional survey of 3732 diabetic patients who underwent a 100 g carbohydrate meal test. Insulin secretion was estimated using HOMA-B of steady state as well as △C /△G , △AUC /△AUC and CPI for dynamic state.

Association between lncRNA and GCKR gene in type 2 diabetes mellitus.

Objective: To screen long non-coding RNA (lncRNA) related to glucokinase regulatory protein gene (GCKR), its differential expression was analyzed in patients with Type 2 diabetes mellitus (T2DM) and control samples. The correlation of lncRNA with GCKR was verified and its potential value as a molecular marker of T2DM was assessed.

Methods: Lymphocyte RNA was extracted from five patients with T2DM and five patients with non-T2DM.

Increased expression of aromatase cytochrome P450 enzyme is associated with prolactinoma invasiveness in post-menopausal women.

Objectives: To investigate the expression levels of aromatase cytochrome P450 enzyme (P450AROM) and related molecules—estrogen receptor-beta (ER-β), Ki-67, and p53—in prolactinoma tumor tissue from pre- and post-menopausal women, and to determine the associations of tumor invasiveness with expression levels of these genes.

Methods: This study recruited 90 patients with prolactinoma who underwent adenoidectomy between 2012 and 2017. Information was collected regarding clinical characteristics, hormones, laboratory tests, and magnetic resonance imaging-assessed tumor invasiveness.

Long non-coding RNA MEG3 mediates high glucose-induced endothelial cell dysfunction.

Long noncoding RNAs (lncRNAs) are implicated in the progression of diabetes mellitus (DM) and diabetes-induced endothelial dysfunction. Maternally expressed gene 3 (MEG3) encodes an lncRNA which is suggested to function as a tumor suppressor. Therefore, the aim of the present study was to investigate whether MEG3 is a potential regulator and molecular biomarker of high glucose-induced endothelial dysfunction.