Protective effect of miR-33-5p on the M1/M2 polarization of microglia and the underlying mechanism.

This study was aimed to investigate the influence of miR-33-5p on the M1/M2 polarization of microglia and the underlying mechanism. Transcriptome sequencing was performed using microglia from miR-33-5p mimic and control groups. In total, 507 differentially expressed genes, including 314 upregulated genes and 193 downregulated genes, were identified. The subnetwork of module A, which was extracted from the protein-protein interaction networks, mainly contained the downregulated genes. Cdk1,Ccnb,and Cdc20, the members of module-A networks with the highest degrees, possess the potential of being biomarkers of ischemic stroke due to their function in the cell cycle. NFY, a transcription factor, was predicted to have the regulatory relation with nine downregulated genes. Overall, our findings will provide a valuable foundation for genetic mechanisms and treatment studies of ischemic stroke.

Weighted gene co-expression network analysis to investigate the key genes implicated in global brain ischemia/reperfusion injury in rats.

BACKGROUND: Ischemia/reperfusion (I/R) refers to situations where blood is perfused into ischemic or hypoxic tissues, potentially resulting in an inflammatory response and oxidative injury. OBJECTIVES: This study was conducted to explore the pathogenesis of I/R injury. MATERIAL AND METHODS: GSE82146 was extracted from the Gene Expression Omnibus, consisting of 15 complete global brain ischemia (CGBI) reperfusion hippocampus samples and 12 non-ischemic control (NIC) hippocampus samples. The differentially expressed genes (DEGs) between the CGBI and NIC samples were selected using LIMMA package, and were then analyzed with weighted gene co-expression network analysis (WGCNA). Using DAVID software, the DEGs in significant modules were run through enrichment analysis. The DEGs in significant modules were merged, and then a protein-protein interaction (PPI) network was built for them using Cytoscape software. After miRNAs and transcription factors (TFs) were predicted for the DEGs using the WebGestalt tool, a TF-miRNA-target regulatory network was built using Cytoscape software. Furthermore, quantitative real-time polymerase chain reaction (qRT-PCR) analysis was conducted to detect the levels of key genes. RESULTS: There were 390 DEGs in the CGBI samples. Based on WGCNA, brown and turquoise modules were screened as CGBI-associated modules. In the PPI network, key nodes HSP90AA1 and HSPA5 were able to interact with each other. In the regulatory network, MYC, HSF1 and miR-22 had higher degree values. Moreover, HSPA5 was targeted by MYC in the regulatory network. In addition, upregulated HSPB1 and HMOX1, as well as downregulated NR4A2, were confirmed with qRT-PCR analysis. CONCLUSIONS: HSPB1, HMOX1 and NR4A2 were the key genes correlated with I/R injury. Additionally, HSP90AA1, HSPA5, MYC, HSF1, and miR-22 might be related to the pathogenesis of I/R injury.

Introduction of Fe2+ in Fe0.8Ti1.2O40.8- nanosheets via photo reduction and their enhanced electrochemical performance as a lithium ion battery anode.

Fe2+ doped Fe0.8Ti1.2O40.8- nanosheets were firstly utilized as a lithium ion battery anode. The Fe2+ was introduced into the Fe0.8Ti1.2O40.8- nanosheets using a photoreduction method. The introduction of Fe2+ enhanced the electrical conductivity of the material, as well as the specific capacity.