Exosomes derived from diabetic microenvironment-preconditioned mesenchymal stem cells ameliorate nonalcoholic fatty liver disease and inhibit pyroptosis of hepatocytes.

Aim: Pyroptosis, a type of programmed cell death, is a key mechanism underlying non-alcoholic fatty liver disease (NAFLD). Mesenchymal stem cell (MSC)-derived exosomes (MSC-Exos) have the potential to ameliorate NAFLD, an effect that is enhanced by curcumin preconditioning. We previously reported that diabetic microenvironment preconditioning enhances the secretion capacity and anti-inflammatory activity of MSCs.

Breaking the chain in organ failure: Role of umbilical cord and bone marrow derived mesenchymal stem cells in treatment of severe acute pancreatitis.

Background: Previous studies showed that MSCs could mitigate damage in the pancreas during acute pancreatitis (AP). However, acute mortality associated with AP was more often a result of persistent failure of remote organs, rather than local damage, especially in severe acute pancreatitis (SAP), and the effect of MSCs may vary depending on their origin.

Methods: An SAP model was induced in 8-week C57BL/6 J male mice by retrograde injection of 5 % sodium taurocholate solution through the bile duct.

Exosomes derived from umbilical cord-derived mesenchymal stem cells exposed to diabetic microenvironment enhance M2 macrophage polarization and protect against diabetic nephropathy.

The role of mesenchymal-stem-cell-derived exosomes (MSCs-Exo) in the regulation of macrophage polarization has been recognized in several diseases. There is emerging evidence that MSCs-Exo partially prevent the progression of diabetic nephropathy (DN). This study aimed to investigate whether exosomes secreted by MSCs pre-treated with a diabetic environment (Exo-pre) have a more pronounced protective effect against DN by regulating the balance of macrophages.

The phenotype and related gene expressions of macrophages in adipose tissue of T2D mice following MSCs infusion.

Background: Infusion of mesenchymal stem cells (MSCs) induces polarization of M2 macrophages in adipose tissue of type 2 diabetes (T2D) mice. Studies have shown that M2 macrophages were divided into four sub-phenotypes (M2a, M2b, M2c and M2d) with different functions, and manuscripts have also confirmed that macrophages co-cultured with MSCs were not matched with known four phenotype macrophages. Therefore, our study explored the phenotype and related gene expressions of macrophages in the adipose tissue of T2D mice with/without MSCs infusion.

Epidemiological Data Mining for Assisting with Foodborne Outbreak Investigation.

Diseases caused by the consumption of food are a significant but avoidable public health issue, and identifying the source of contamination is a key step in an outbreak investigation to prevent foodborne illnesses. Historical foodborne outbreaks provide rich data on critical attributes such as outbreak factors, food vehicles, and etiologies, and an improved understanding of the relationships between these attributes could provide insights for developing effective food safety interventions. The purpose of this study was to identify hidden patterns underlying the relations between the critical attributes involved in historical foodborne outbreaks through data mining approaches.

A Novel Foodborne Illness Detection and Web Application Tool Based on Social Media.

Foodborne diseases and outbreaks are significant threats to public health, resulting in millions of illnesses and deaths worldwide each year. Traditional foodborne disease surveillance systems rely on data from healthcare facilities, laboratories, and government agencies to monitor and control outbreaks. Recently, there is a growing recognition of the potential value of incorporating social media data into surveillance systems.

DACH1 inhibits the proliferation and migration of papillary thyroid carcinoma.

DACH1 is an important component of the retinal determinate gene network (RDGN), which regulates the expression of target genes by directly binding or interacting with other factors. DACH1 shows inhibitory effects in most tumors, but its role in papillary thyroid carcinoma is unclear and warrants further investigation. We assessed the expression of DACH1 in different tissues and correlation with immune infiltration by The Cancer Genome Atlas (TCGA) and Tumor Immune Estimation Resource (TIMMER2.

Using noninvasive anthropometric indices to develop and validate a predictive model for metabolic syndrome in Chinese adults: a nationwide study.

Purpose: Metabolic syndrome (Mets) is a pathological condition that includes many abnormal metabolic components and requires a simple detection method for rapid use in a large population. The aim of the study was to develop a diagnostic model for Mets in a Chinese population with noninvasive anthropometric and demographic predictors.

Patients And Methods: Least absolute shrinkage and selection operator (LASSO) regression was used to screen predictors.

Depression Predicts Chronic Pain Interference in Racially Diverse, Income-Disadvantaged Patients.

Background: Chronic pain is one of the most common reason adults seek medical care in the United States, with prevalence estimates ranging from 11% to 40%. Mindfulness meditation has been associated with significant improvements in pain, depression, physical and mental health, sleep, and overall quality of life. Group medical visits are increasingly common and are effective at treating myriad illnesses, including chronic pain.

Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media.

Foodborne outbreaks are a serious but preventable threat to public health that often lead to illness, loss of life, significant economic loss, and the erosion of consumer confidence. Understanding how consumers respond when interacting with foods, as well as extracting information from posts on social media may provide new means of reducing the risks and curtailing the outbreaks. In recent years, Twitter has been employed as a new tool for identifying unreported foodborne illnesses.

Serum glycated albumin as good biomarker for predicting type 2 diabetes: A retrospective cohort study of China National Diabetes and Metabolic Disorders Survey.

Aims: Glycated albumin (GA) is a biomarker for short-term (2-3 weeks) glycaemic control. However, the predictive utility of GA for diabetes and prediabetes is largely uncharacterised. We aimed to investigate the relationships of baseline serum GA levels with incident diabetes and prediabetes.

BF175 inhibits endometrial carcinoma through SREBP-regulated metabolic pathways in vitro.

Elevated lipogenesis is an important metabolic hallmark of rapidly proliferating tumor such as endometrial carcinoma (EC). The sterol regulatory element-binding protein 1 (SREBP1) is a master regulator of lipogenesis and involved in EC proliferation. BF175 is a novel chemical inhibitor of SREBP pathway, and has shown potent anti-lipogenic effects.

[Diagnostic value of MRI in testicular tumor].

Objective: To study the MRI manifestation of testicular tumor and the value of MRI in the diagnosis of the disease.

Methods: We retrospectively analyzed 23 cases of pathologically confirmed testicular tumor, and observed the morphological characteristics, signals and surrounding conditions of the tumor using plain and enhanced MRI scanning.

Results: Of the 23 cases, seminoma was identified in 7, mixed germinoma in 3, teratoma in 3, endodermal sinus tumor in 2, epidermoid in 1, Leydig cell tumor in 1, leucoma in 1, nonspecific inflammatory mass in 3, and tuberculosis in 2.