Targeting Autophagy: A Promising Therapeutic Strategy for Diabetes Mellitus and Diabetic Nephropathy.

Diabetes mellitus (DM) significantly impairs patients' quality of life, primarily because of its complications, which are the leading cause of mortality among individuals with the disease. Autophagy has emerged as a key process closely associated with DM, including its complications such as diabetic nephropathy (DN). DN is a major complication of DM, contributing significantly to chronic kidney disease and renal failure.

Fatty liver is associated with significant liver inflammation and increases the burden of advanced fibrosis in chronic HBV infection.

Background: Concurrent non-alcoholic fatty liver disease (NAFLD) is common in patients with chronic HBV infection. But the impact of fatty liver on the histologic progression of HBV infection remains controversial.

Methods: Consecutive HBV-infected patients who underwent liver biopsy between 2016 and 2021 were included.

Homogeneous Space Construction and Projection for Single-Cell Expression Prediction Based on Deep Learning.

Predicting cellular responses to perturbations is an unsolved problem in biology. Traditional approaches assume that different cell types respond similarly to perturbations. However, this assumption does not take into account the context of genome interactions in different cell types, which leads to compromised prediction quality.

Deep Learning-Based Recognition of Periodontitis and Dental Caries in Dental X-ray Images.

Dental X-ray images are important and useful for dentists to diagnose dental diseases. Utilizing deep learning in dental X-ray images can help dentists quickly and accurately identify common dental diseases such as periodontitis and dental caries. This paper applies image processing and deep learning technologies to dental X-ray images to propose a simultaneous recognition method for periodontitis and dental caries.

[Characteristics and Sources of Nitrated Phenols in Atmospheric Fine Particles of Northern Suburban Nanjing].

Nitrated phenols are a group of nitrogen-containing organics ubiquitously present in ambient air, which are also important components of atmospheric light-absorbing organic matter (brown carbon) that have significant impacts on climate change, air quality, and human health. In this study, we collected a total of 265 daily filter samples of fine particles (PM) in northern suburban Nanjing from March 2019 to January 2020. We used ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) to detect and quantify eight nitrated phenolic species.

CYP2C9, a Metabolic CYP450s Enzyme, Plays Critical Roles in Activating Ellagic Acid in Human Intestinal Epithelial Cells.

BACKGROUND The metabolic processing of ellagic acid (EA) by cytochrome P450s (CYP450s) expressed in the intestines is unclear. This study aimed to investigate the effects of CYP450s that are highly expressed in HIEC cells on metabolic activity of EA. MATERIAL AND METHODS HIEC cell models expressing 2B6, 2C9, 2D6, and 3A4 were generated by stably transfecting with CYP450 genes using a lentivirus system.

Machine Learning for Long Cycle Maintenance Prediction of Wind Turbine.

Within Internet of Things (IoT) sensors, the challenge is how to dig out the potentially valuable information from the collected data to support decision making. This paper proposes a method based on machine learning to predict long cycle maintenance time of wind turbines for efficient management in the power company. Long cycle maintenance time prediction makes the power company operate wind turbines as cost-effectively as possible to maximize the profit.

Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy.

Entropy images, representing the complexity of original fundus photographs, may strengthen the contrast between diabetic retinopathy (DR) lesions and unaffected areas. The aim of this study is to compare the detection performance for severe DR between original fundus photographs and entropy images by deep learning. A sample of 21,123 interpretable fundus photographs obtained from a publicly available data set was expanded to 33,000 images by rotating and flipping.

Machine learning to relate PM2.5 and PM10 concentrations to outpatient visits for upper respiratory tract infections in Taiwan: A nationwide analysis.

Aim: To examine the accuracy of machine learning to relate particulate matter (PM) 2.5 and PM10 concentrations to upper respiratory tract infections (URIs).

Methods: Daily nationwide and regional outdoor PM2.

Development and validation of a model for staging hepatic fibrosis for chronic hepatitis B patients with E antigen-positive.

Background: Interest is growing in the use of non-invasive techniques for complementing liver biopsy for liver fibrosis assessment. We aimed to prospectively evaluate liver histology in chronic hepatitis B (CHB) patients with e-antigen positivity, and develop and validate a novel scoring system-e-antigen-positive CHB liver fibrosis (EPLF) score-for noninvasively predicting the fibrosis stages.

Methods: We identified the baseline variables associated with fibrosis stage (MATAVIR score, F0-F4) in 212 CHB patients with e-antigen positivity.

An Inexpensive Digital Image Analysis Technique for Liver Fibrosis Quantification in Chronic Hepatitis B Patients.

Background And Aim: Quantitative digital imaging analysis to evaluate liver fibrosis is accurate, but its clinical use is limited by its high cost and lack of standardization. We aimed to validate an inexpensive digital imaging analysis technique for fibrosis quantification in chronic hepatitis B patients.

Material And Methods: In total, 142 chronic hepatitis B patients who underwent liver biopsy and analysis of serum fibrosis markers were included.

Effectiveness of Antipsychotic Drugs for 24-Month Maintenance Treatment in First-Episode Schizophrenia: Evidence From a Community-Based "Real-World" Study.

Objective: Maintenance treatment of schizophrenia with antipsychotic medications has become a standard for the prevention of psychotic relapse. However, little is known about the effectiveness of antipsychotic drugs for maintenance treatment in "real-world" populations with schizophrenia. We carried out a prospective study to assess the effectiveness of the most frequently prescribed antipsychotic drugs in the maintenance treatment of schizophrenia from 2 community settings.

RIG-I inhibits pancreatic β cell proliferation through competitive binding of activated Src.

Nutrition is a necessary condition for cell proliferation, including pancreatic β cells; however, over-nutrition, and the resulting obesity and glucolipotoxicity, is a risk factor for the development of Type 2 diabetes mellitus (DM), and causes inhibition of pancreatic β-cells proliferation and their loss of compensation for insulin resistance. Here, we showed that Retinoic acid (RA)-inducible gene I (RIG-I) responds to nutrient signals and induces loss of β cell mass through G1 cell cycle arrest. Risk factors for type 2 diabetes (e.

Promoter structures and differential responses to viral and non-viral inducers of chicken melanoma differentiation-associated gene 5.

Melanoma differentiation-associated gene 5 (MDA5) is a member of the retinoic acid-inducible gene I (RIG-I)-like receptors (RLRs) family and plays a pivotal role in the anti-viral innate immune response. As RIG-I is absent in chickens, MDA5 is hypothesized to be important in detecting viral nucleic acids in the cytoplasm. However, the molecular mechanism of the regulation of chicken MDA5 (chMDA5) expression has yet to be fully elucidated.

The association between reduced folate carrier-1 gene 80G/A polymorphism and methotrexate efficacy or methotrexate related-toxicity in rheumatoid arthritis: A meta-analysis.

Methotrexate (MTX), the most commonly used anti-rheumatic drug against RA, enters the cell via the action of the reduced folate carrier 1(RFC1). A major polymorphism of the RFC1 gene, 80G/A, has been reported to influence the activity of RFC1, resulting in variable intracellular MTX-polyglutamate (MTX-PG) levels. However, the association studies addressing the RFC1 80G/A polymorphism and MTX efficacy or toxicity in Rheumatoid arthritis (RA) has yielded conflicting results.

Helium-neon laser therapy in the treatment of hydroxyapatite orbital implant exposure: A superior option.

The aim of the present study was to evaluate the efficacy of helium-neon laser therapy in the treatment of hydroxyapatite orbital implant exposure and compare the results with those of a combined drugs and surgery regimen. A total of 70 patients with hydroxyapatite orbital implant exposure in 70 eyes were randomly divided into two groups: Helium-neon laser therapy (group A) and drugs plus surgery (group B). Each group contained 35 patients.

[Study on synergistic effect of sodium cantharidinate combined with chemotherapeutic drugs on hepatic carcinoma and its effective mechanism].

Objective: To study the synergistic effect on hepatoma cell(SMMC-7721) and the reduction killing effect on normal liver cells(LO-2) treated with sodium cantharidinate (SCA) in combination with fluorouracil(5-FU) or cisplatin(DDP) as well as the related mechanism.

Methods: MTT assay was used to select the best ratio of SCA with 5-FU or SCA with DDP which had less toxicity on LO-2 cell line and had synergistic effect on SMMC-7721 cell line; Flow cytometry assay was used to analyze the apoptosis-induction of the different ratio of drugs on both cell lines; Hoechst-33258 fluorescent staining assay was used to observe the nuclear morphological changes of cells; Immunoblotting assay was used to analyze the Ras/Raf/ERK1/2 signaling pathway and the apoptosis related signaling pathway in both cell lines.

Results: MTI assay indicated that the proliferation inhibition of SCA,5-FU and DDP on SMMC-7721 cell line was in a time-and dose-dependent manner respectively.