Investigation of Advanced Glycation End Products in Liver, Adipose, and Renal Tissue of Mice on a High-Fat Diet.

Obesity is a complex condition associated with disruptions in carbohydrate, protein, and fat metabolism, linked to increased insulin resistance and glucose intolerance. High levels of Advanced Glycation End-products (AGEs) are associated with a range of chronic diseases, including kidney diseases, diabetic complications, cardiovascular diseases, and neurodegenerative diseases. Our study aims to investigate the accumulation of AGEs in the liver, renal and adipose tissues of mice fed a high-fat diet, contributing to a deeper understanding of obesity and its related metabolic disorders.

Genetic Investigation of the Trail Mechanism in Diabetic and Non-diabetic Obese Patients.

Obesity is an important healthcare issue caused by abnormally increased adipose tissue because of energy-intake overcoming energy expenditure. Disturbances in the physiological function of adipose tissue mediate the development of diabetes. It is a metabolic disease that results from decreased insulin-levels and/or changes in the insulin action mechanism.

Development of a new multiplex real-time PCR assay for rapid screening of hospital-acquired infection agents.

Aims: A new multiplex real-time PCR (qPCR) assay was developed to detect antibiotic-resistant hospital-acquired infectious agents in nasal and rectal swab samples in 1.5 h without the need for nucleic acid extraction.

Methods: Spiked negative clinical specimens were used for the analytical performance evaluation.

Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models.

This study explores the machine learning-based assessment of predisposition to colorectal cancer based on single nucleotide polymorphisms (SNP). Such a computational approach may be used as a risk indicator and an auxiliary diagnosis method that complements the traditional methods such as biopsy and CT scan. Moreover, it may be used to develop a low-cost screening test for the early detection of colorectal cancers to improve public health.

Differential expression of miRNAs related to autophagy pathway in tissue and serum samples of colorectal cancer patients.

Background: This study was aimed to investigate the relationship of miR-17-5p, miR-30b, miR-30d, miR-216a and miR-216b associated with autophagy gene beclin 1, and beclin 1 gene with colorectal cancer (CRC).

Materials And Methods: Forty-seven patients with CRC and 50 healthy individuals with no cancer history were included in this study. In the serum, tumor and non-tumoral tissue samples of the CRC patients, and in the serum samples of the healthy subjects, expression levels of miRNAs were detected by qRT-PCR.