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The helix-loop-helix transcription factor Olig2 is essential for lineage determination of oligodendrocytes. Differentiation of stem cells into oligodendrocytes and transplanting them is a novel strategy for the repair of different demyelination diseases. Dental pulp stem cells (DPSCs) are of great interest in regenerative medicine due to their potential for repairing damaged tissues. In this study, DPSCs were isolated from human third molars and transfected with the human Olig2 gene as a differentiation inducer for the oligodendrogenic pathway. Following the differentiation procedure, the expression of Sox2, NG2, PDGFRα, Nestin, MBP, Olig2, Oct4, glial fibrillary acidic protein and A2B5 as stage-specific markers was studied by real-time RT-qPCR, immunocytochemistry and Western blot analysis. The cells were transplanted into a mouse model of local sciatic damage by lysolecithin as a model for demyelination. Oligodendrocyte progenitor cells (OPCs) actively remyelinated and recovered the lysolecithin-induced damages in the sciatic nerve as revealed by treadmill exercise, the von Frey filament test and hind paw withdrawal in response to a thermal stimulus. Recovery of behavioral reflexes occurred 2-6 weeks after OPC transplantation. The results demonstrate that the expression of Olig2 in DPSCs reduces the expression of stem cell markers and induces the development of oligodendrocyte progenitors as revealed by the emergence of oligodendrocyte markers. DPSCs could be programmed into oligodendrocyte progenitors and considered as a simple and valuable source for the cell therapy of neurodegenerative diseases.

SARS-CoV-2 is the RNA virus responsible for COVID-19, the prognosis of which has been found to be slightly worse in men. The present study aimed to analyze the expression of different mRNAs and their regulatory molecules (miRNAs and lncRNAs) to consider the potential existence of sex-specific expression patterns and COVID-19 susceptibility using bioinformatics analysis. The binding sites of all human mature miRNA sequences on the SARS-CoV-2 genome nucleotide sequence were predicted by the miRanda tool. Sequencing data was excavated using the Galaxy web server from GSE157103, and the output of feature counts was analyzed using DEseq2 packages to obtain differentially expressed genes (DEGs). Gene set enrichment analysis (GSEA) and DEG annotation analyses were performed using the ToppGene and Metascape tools. Using the RNA Interactome Database, we predicted interactions between differentially expressed lncRNAs and differentially expressed mRNAs. Finally, their networks were constructed with top miRNAs. We identified 11 miRNAs with three to five binding sites on the SARS-COVID-2 genome reference. MiR-29c-3p, miR-21-3p, and miR-6838-5p occupied four binding sites, and miR-29a-3p had five binding sites on the SARS-CoV-2 genome. Moreover, miR-29a-3p, and miR-29c-3p were the top miRNAs targeting DEGs. The expression levels of miRNAs (125, 181b, 130a, 29a, b, c, 212, 181a, 133a) changed in males with COVID-19, in whom they regulated ACE2 expression and affected the immune response by affecting phagosomes, complement activation, and cell-matrix adhesion. Our results indicated that XIST lncRNA was up-regulated, and TTTY14, TTTY10, and ZFY-AS1 lncRN as were down-regulated in both ICU and non-ICU men with COVID-19. Dysregulation of noncoding-RNAs has critical effects on the pathophysiology of men with COVID-19, which is why they may be used as biomarkers and therapeutic agents. Overall, our results indicated that the miR-29 family target regulation patterns and might become promising biomarkers for severity and survival outcome in men with COVID-19.

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can be a very dangerous disorder in the body. In addition, nitrite may react with amines in the body and be converted to N-nitrosamines, which are a major cause of gastric cancer and high blood pressure. [3] In addition, unauthorized amounts of nitrite in the body lead to serious damage to the spleen, kidneys, [4] and nervous systems. [5] However, it should be noted that the permitted levels of nitrite can undoubtedly be useful for public health in food industries. Nitrite is widely used as a preservative in foodstuffs, [6] and also its use in some blood pressure medications is notable. As well, compounds containing nitrite as stainless steel have been used in industry and agriculture as fertilizer. [7,8] According to above mentioned points, due to dangers of increasing the level of nitrite in drinking water and body fluids, detecting ultra-levels of the nitrite should be very momentous.So far, various methods such as spectrophotometry, [9] chromatography, [10] and chemiluminescence [11] have been proposed to detect trace amounts of nitrite in food and drinking water. Most of these methods require complex equipment and sample pretreatment and are generally time-consuming and expensive with poor repeatability. The use of electrochemical sensors due to their simplicity, high sensitivity, inexpensiveness, repeatability, and stability should be a suitable strategy for nitrite detection in real samples. The detection of nitrite as a challenging compound in food industrieshas always been a necessity. To this purpose, herein, two transition metal oxidebased nanocatalysts, NiO-Co 3 O 4 (NC) and its reduced graphene hybridized form, NiO-Co 3 O 4 -rGO (NCR), are synthesized by a hydrothermal method and characterized by X-ray diffraction, Raman spectroscopy, scanning electron microscope (SEM) images, and energy dispersive X-ray analysis (EDAX) mapping. The synthesized materials are exploited to modify a glassy carbon electrode and fabricate an effective sensor for nitrite detection in real samples through differential pulse voltammetry (DPV). NCR shows excellent sensitivity (40.44 µA per dec), very low limit of detection (20 × 10 -9 m), significant accuracy, and good stability at the wide range of nitrite ions (100-500 × 10 -9 m) in real samples.

A three-generation resource population was developed using two distinct Japanese quail strains, wild and white, to map quantitative trait loci underlying hatching weight and growth traits. Eight pairs of white and wild birds were crossed reciprocally and 34 F1 birds were produced. The F1 birds were intercrossed to generate 422 F2 offspring. All of the animals from three generations (472 birds) were genotyped for eight microsatellite markers on chromosome 1. Liveweight data from hatch to 5 weeks of age were collected on the F2 birds. Quantitative trait loci (QTL) analysis was conducted applying the line-cross model and the least-squares interval mapping approach. The results indicated QTL affecting hatching weight and several growth related traits on chromosome 1. The F2 phenotypic variance explained by the detected additive QTL effects ranged from 1.0 to 3.7 for different traits. Modelling both additive and dominance QTL effects revealed additional QTL with significant dominance mode of action affecting pre-slaughter weight. However, there was no evidence for imprinting (parent-of-origin) effects. The variance due to the reciprocal cross effect ranged between 3.0 and 19.1% for weight at 1 week of age and hatching weight, respectively.

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