Downregulation of miR-338-3p alleviates neuronal ischemic injury by decreasing cPKCγ-Mediated autophagy through the Akt/mTOR pathway

Silencing CircHIPK3 improves sevoflurane-explore learning and memory dysfunction and nerve damage via enhancing miR-338-3p

Background

Sevoflurane (Sev), a widely used volatile anesthetic, can cause neurotoxicity, and impair learning and memory.

Objective

This study investigates the role and mechanisms of circHIPK3 in Sev-exposed neurotoxicity and learning and memory impairment.

Methods

SD rats and hippocampal neuronal cells were exposed to Sev. RT-qPCR analysis of circHIPK3 and miR-338-3p levels. MWM test was performed to examine the behavioral changes in rats. The levels of circHIPK3 and miR-338-3p levels were investigated using RT-qPCR. ELISA assay to analyze the expression of pro-inflammatory factors. CCK-8, flow cytometry, and commercial ROS assay kits were analyzed to detect cell viability, apoptosis, and ROS production. DLR and RIP assays validate circHIPK3 binding to miR-338-3p.

Results

Sev increased circHIPK3 expression in rat hippocampal tissue as well as in neuronal cells but decreased miR-338-3p levels compared to controls. circHIPK3 binding to miR-338-3p. Furthermore, silencing of circHIPK3 rats attenuated Sev-induced decline in learning and memory functions . silencing circHIPK3 also reduced Sev-induced secretion of inflammatory factors in rat and neuronal cells. Reducing circHIPK3 partially reversed the Sev-induced decrease in cell viability, increased apoptosis, and overproduction of ROS. However, the inhibitory effect of circHIPK3 on Sev neurotoxicity was restored upon downregulation of miR-338-3p.

Conclusion

Collectively, silencing circHIPK3 alleviates Sev exposure-induced learning and memory deficits and neurotoxicity by enhancing miR-338-3p expression.

ITGAM is a critical gene in ischemic stroke

BACKGROUND

Globally, ischemic stroke (IS) is ranked as the second most prevailing cause of mortality and is considered lethal to human health. This study aimed to identify genes and pathways involved in the onset and progression of IS.

METHODS

GSE16561 and GSE22255 were downloaded from the Gene Expression Omnibus (GEO) database, merged, and subjected to batch effect removal using the ComBat method. The limma package was employed to identify the differentially expressed genes (DEGs), followed by enrichment analysis and protein-protein interaction (PPI) network construction. Afterward, the cytoHubba plugin was utilized to screen the hub genes. Finally, a ROC curve was generated to investigate the diagnostic value of hub genes. Validation analysis through a series of experiments including qPCR, Western blotting, TUNEL, and flow cytometry was performed.

RESULTS

The analysis incorporated 59 IS samples and 44 control samples, revealing 226 DEGs, of which 152 were up-regulated and 74 were down-regulated. These DEGs were revealed to be linked with the inflammatory and immune responses through enrichment analyses. Overall, the ROC analysis revealed the remarkable diagnostic potential of ITGAM and MMP9 for IS. Quantitative assessment of these genes showed significant overexpression in IS patients. ITGAM modulation influenced the secretion of critical inflammatory cytokines, such as IL-1β, IL-6, and TNF-α, and had a distinct impact on neuronal apoptosis.

CONCLUSIONS

The inflammation and immune response were identified as potential pathological mechanisms of IS by bioinformatics and experiments. In addition, ITGAM may be considered a potential therapeutic target for IS.

ATG9A as a potential diagnostic marker of intervertebral disc degeneration: Inferences from experiments and bioinformatics analysis incorporating sc-RNA-seq data

BACKGROUND

Disfunctional autophagy plays a pivotal role in Intervertebral Disc Degeneration (IDD) progression. however, the connection between Autophagy-related gene 9A (ATG9A) and IDD has not been reported.

METHODS

Firstly, transcriptome datasets from the GEO and Autophagy-related genes (ARGs) from GeneCards were carried out using R. Following this, IDD-specific signature genes were identified through methods such as least absolute shrinkage and selection operator (LASSO), random forest (RF), and support vector machine (SVM) analyses. Validation of these findings proceeded through in vitro experiments, evaluation of independent datasets, and analysis of receiver operating characteristic (ROC) curves. Subsequent steps incorporated co-expression analysis, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Gene Set Enrichment Analysis (GSEA), and construction of competing endogenous RNA (ceRNA) network. The final section established the correlation between immune cell infiltration, ATG9A, and IDD utilizing the CIBERSORT algorithm and single-cell RNA (scRNA) sequencing data.

RESULTS

Research identified 87 differentially expressed genes, with only ATG9A noted as an IDD signature gene. Analysis of in vitro experiments and independent datasets uncovered a decrease in ATG9A expression within the degeneration group. The area under the curve (AUC) of ATG9A exceeded 0.8 following ROC analysis. Furthermore, immune cell infiltration and scRNA sequencing data analysis elucidated the substantial role of immune cells in IDD progression. A ceRNA network was constructed, centered around ATG9A, included 4 miRNAs and 22 lncRNAs.

CONCLUSION

ATG9A was identified as a diagnostic gene for IDD, indicating its viability as a effective target for therapy disease.

The autophagy in ischemic stroke: A regulatory role of non-coding-RNAs

Ischemic stroke (IS) is a central nervous system neurological disorder ascribed to an acute focal trauma, with high mortality and disability, leading to a heavy burden on family and society. Autophagy is a self-digesting process by which damaged organelles and useless proteins are recycled to maintain cellular homeostasis, and plays a pivotal role in the process of IS. Non-coding RNAs (ncRNAs), mainly contains microRNA, long non-coding RNA and circular RNA, have been extensively investigated on regulation of autophagy in human diseases. Recent studies have implied that ncRNAs-regulating autophagy participates in pathophysiological process of IS, including cell apoptosis, inflammation, oxidative stress, blood-brain barrier damage and glial activation, which indicates that regulating autophagy by ncRNAs may be beneficial for IS treatment. This review summarizes the role of autophagy in IS, as well as focuses on the role of ncRNAs-mediated autophagy in IS, for the development of potential therapeutic strategies in this disease.