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. Tumor-sphere formation and flow cytometry confirmed CSC phenotype. The cytotoxic effect of BA was measured by MTT analysis, and the effect of BA on EMT was examined by migration analysis. The expression levels of ZEB1, SNAIL1, ITGA5, CDH1, ITGB1, VIM, COL1A1, and LAMA5 genes were analyzed by RT-qPCR. E-cadherin, Collagen-1, MMP-3, and Vimentin expressions were analyzed immunohistochemically. Boric acid slightly reduced the migration of cancer cells. Increased expression of transcription factor SNAIL (p < 0.001), but not ZEB1, was observed in LC-SCs. mRNA expression levels of ITGB1 (p < 0.01), ITGA5 (p < 0.001), COL1A1 (p < 0.001), and LAMA5 (p < 0.001) increased; CDH1 and VIM decreased in LC-SCs. Moreover, while E-cadherin (p < 0.001) and Collagen-1 (p < 0.01) immunoreactivities significantly increased, MMP-3 (p < 0.001) and Vimentin (p < 0.01) immunoreactivities decreased in BA-treated LC-SCs. To conclude, the current study provided insights into the efficacy and effects of BA against LC-SCs regarding proliferation, EMT, and cell death for future studies.

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. Moreover, this study aimed to determine the miRNA and target genes required for the formation of SC treatment combined with gene therapy in order to reveal the mechanism of cartilage regeneration and increase its effectiveness. METHODS: MSCs were characterized by flow cytometry, and immunocytochemical and differentiation analyses were done. To characterize functionally isolated exosomes, in vitro uptake analysis was performed. RT-qPCR was used to examine in terms of the advantages of cellular and cell-free therapy, mature human chondroblasts derived by differentiation from hSF-MSCs and human chondrocyte profiles were compared in order to demonstrate the above profile of hSF-MSCs and exosomes isolated from them, and the effectiveness of SC therapy in repairing cartilage damage. RESULTS: According to our findings, the expression level of hsa-miR-155-5p was found to be considerably higher in chondrocytes differentiated from human synovial fluid MSCs than in mature human chondrocytes. These findings were also supported by the TGF-signalling pathway and chondrogenesis marker genes. CONCLUSION: It was concluded that hSF-MSCs and exosomes can be used in the treatment of cartilage damage, and hsa-miR-155-5p can be used as a target miRNA in a new gene therapy approach because it increases the therapeutic effect on cartilage damage.

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. Exosomes derived from chondrogenic differentiated cells and their exosomes were isolated and characterized. microRNA-127-5p expressions were measured by Quantitative reverse transcription PCR (qRT-PCR). Significantly higher levels of microRNA-127-5p expression in differentiated hAT-MSCs exosomes, similar to human fetal chondroblast cells, which are the control group in the chondrogenic differentiation process, were observed. hAT-MSCs are better sources of microRNA-127-5p than hSF-MSCs for stimulating chondrogenesis or in the regenerative therapy of cartilage-related pathologies. hAT-MSCs exosomes are rich sources of microRNA-127-5p and can be an essential candidate for cartilage regeneration treatments.

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 Eskisehir (N = 34 000). Ethics Committee and Provincial Directorate of National Education approvals were obtained before conducting the study. A data collection form prepared by the researchers and a consent form were delivered in a sealed envelope to the parents via the students. The study data were collected over the period 09 May 2018-30 May 2018. A total of 6957 questionnaires that were fully completed among the 7370 surveys were taken into consideration. The statistical analysis was carried out using the SPSS software package. RESULTS: The number of children found to have urinary incontinence was 215 (3.1%). It was seen that 33 children had urinary incontinence only in the daytime, 61 children experienced it both at night and during the day and 121 children at night. It was observed that 56% of the children suffering from urinary incontinence had not applied to any health facility for treatment prior to the study. It was found that among the risk factors for urinary incontinence were young age, late start of toilet training and presence of a family history of urinary incontinence. CONCLUSIONS: Children with urinary incontinence and their families need medical information and support to reach the root of the problem and seek solutions. Accompanying pathologies in detected cases can be determined in the early period by means of school screenings, and medical evaluation and support can prevent adverse effects on children's psychosocial and personality development.

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. A total of 704 children had enuresis. For analysis of data with MLT, another group including 704 nonenuretic children was structured with stratified sampling. Out of 34 independent variables, 14 with high feature values significantly affecting enuresis were selected. A model of estimation was created by training the data. RESULTS: Fourteen independent variables in order of feature importance value were starting age of toilet training, having urinary urgency, holding maneuvers to prevent voiding, frequency of defecation, history of enuresis in mother and father, having child's own room, parent's education level, history of enuresis in siblings, consanguineous marriage, incomplete bladder emptying, frequent voiding, gender, history of urinary tract infection, and surgery in the past. The best MLT algorithm for the prediction of enuresis was determined as logistic regression algorithm. The total accuracy rate of the model in prediction was 81.3%. CONCLUSION: MLT might provide a faster and easier evaluation process for studies on enuresis with a large dataset. The model in this study may suggest that selected variables with high feature values could be preferred with priority in any screening studies for enuresis. MLT may prevent clinical errors due to human cognitive biases and may help the physicians to be proactive in diagnosis and treatment of enuresis.