CircAKT3 alleviates postoperative cognitive dysfunction by stabilizing the feedback cycle of miR-106a-5p/HDAC4/MEF2C axis in hippocampi of aged mice.
Xuan WangXiaole TangPengfei ZhuDongyu HuaZheng XieMingke GuoMengxin QueJing YanXing LiQian XiaXiaoxiao LuoJiangjiang BiYilin ZhaoZhiqiang ZhouShiyong LiAilin LuoPublished in: Cellular and molecular life sciences : CMLS (2024)
Circular RNAs (circRNAs) have garnered significant attention in the field of neurodegenerative diseases including Alzheimer's diseases due to their covalently closed loop structure. However, the involvement of circRNAs in postoperative cognitive dysfunction (POCD) is still largely unexplored. To identify the genes differentially expressed between non-POCD (NPOCD) and POCD mice, we conducted the whole transcriptome sequencing initially in this study. According to the expression profiles, we observed that circAKT3 was associated with hippocampal neuronal apoptosis in POCD mice. Moreover, we found that circAKT3 overexpression reduced apoptosis of hippocampal neurons and alleviated POCD. Subsequently, through bioinformatics analysis, our data showed that circAKT3 overexpression in vitro and in vivo elevated the abundance of miR-106a-5p significantly, resulting in a decrease of HDAC4 protein and an increase of MEF2C protein. Additionally, this effect of circAKT3 was blocked by miR-106a-5p inhibitor. Interestingly, MEF2C could activate the transcription of miR-106a-5p promoter and form a positive feedback loop. Therefore, our findings revealed more potential modulation ways between circRNA-miRNA and miRNA-mRNA, providing different directions and targets for preclinical studies of POCD.
Keyphrases
- transcription factor
- bioinformatics analysis
- high fat diet induced
- single cell
- oxidative stress
- endoplasmic reticulum stress
- patients undergoing
- cell proliferation
- cell death
- gene expression
- genome wide
- dna methylation
- cell cycle arrest
- binding protein
- rna seq
- cerebral ischemia
- stem cells
- spinal cord
- cell therapy
- type diabetes
- insulin resistance
- cognitive decline
- wild type
- spinal cord injury
- mesenchymal stem cells
- human health
- machine learning
- risk assessment
- metabolic syndrome
- mouse model
- genome wide identification
- antibiotic resistance genes
- data analysis