The analysis of boric acid effect on epithelial-mesenchymal transition of CD133 + CD117 + lung cancer stem cells.

Targeting lung cancer stem cells (LC-SCs) for metastasis may be an effective strategy against lung cancer. This study is the first on epithelial-mesenchymal transition (EMT) properties of boric acid (BA) in LC-SCs. LC-SCs were isolated using the magnetic cell sorting (MACS) method.

Stem Cell-Based or Cell-Free Gene Therapy in Chondrocyte Regeneration: Synovial Fluid-Derived Mesenchymal Stem Cell Exosomes.

Background: Cartilage injuries are currently the most prevalent joint disease. Previous studies have emphasized the use of stem cells as the effective treatment for regenerating cartilage damage.

Objective: In this study, considering the difficulties of the cellular therapy method, it was hypothesized that human synovial fluid-derived mesenchymal stem cell (hSFMSC) exosomes as a SC source could be used to treat these injuries as a safer and cell-free therapeutic alternative procedure due to its direct relevance to cartilage regeneration.

Comparison of exosomes secreted by synovial fluid-derived mesenchymal stem cells and adipose tissue-derived mesenchymal stem cells in culture for microRNA-127-5p expression during chondrogenesis.

This study aimed to investigate the differences between the exosomal microRNA-127-5p expression profiles of human adipose tissue-derived mesenchymal stem cells (hAT-MSCs) and human synovial fluid-derived mesenchymal stem cells (hSF-MSCs) during chondrogenesis in terms of regenerative treatment of cartilage. Synovial fluid-derived mesenchymal stem cells, adipose tissue-derived mesenchymal stem cells, and human fetal chondroblast cells (hfCCs) were directed to chondrogenic differentiation. Alcian Blue and Safranin O stainings were performed to detect chondrogenic differentiation histochemically.

The evaluation of urinary incontinence in secondary school children and risk factors: An epidemiological study.

Aim: Urinary incontinence is an important problem that can arise due to neurogenic or functional reasons and negatively affect the psychological, social and personality development of children. This study was conducted on secondary school students to determine the prevalence and risk factors of urinary incontinence at night and/or in the daytime.

Methods: The study universe included all secondary school students attending public elementary schools in the city centre of Eskişehir (N = 34 000).

Application of Machine Learning Techniques for Enuresis Prediction in Children.

Introduction:  As a subset of artificial intelligence, machine learning techniques (MLTs) may evaluate very large and raw datasets. In this study, the aim is to establish a model by MLT for the prediction of enuresis in children.

Materials And Methods:  The study included 8,071 elementary school students.