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Long non-coding RNA MEG3 regulates autophagy after cerebral ischemia/reperfusion injury
- Source :
- Neural Regeneration Research, Vol 17, Iss 4, Pp 824-831 (2022)
- Publication Year :
- 2022
- Publisher :
- Wolters Kluwer Medknow Publications, 2022.
-
Abstract
- Severe cerebral ischemia/reperfusion injury has been shown to induce high-level autophagy and neuronal death. Therefore, it is extremely important to search for a target that inhibits autophagy activation. Long non-coding RNA MEG3 participates in autophagy. However, it remains unclear whether it can be targeted to regulate cerebral ischemia/reperfusion injury. Our results revealed that in oxygen and glucose deprivation/reoxygenation-treated HT22 cells, MEG3 expression was obviously upregulated, and autophagy was increased, while knockdown of MEG3 expression greatly reduced autophagy. Furthermore, MEG3 bound miR-181c-5p and inhibited its expression, while miR-181c-5p bound to autophagy-related gene ATG7 and inhibited its expression. Further experiments revealed that mir-181c-5p overexpression reversed the effect of MEG3 on autophagy and ATG7 expression in HT22 cells subjected to oxygen and glucose deprivation/reoxygenation. In vivo experiments revealed that MEG3 knockdown suppressed autophagy, infarct volume and behavioral deficits in cerebral ischemia/reperfusion mice. These findings suggest that MEG3 knockdown inhibited autophagy and alleviated cerebral ischemia/reperfusion injury through the miR-181c-5p/ATG7 signaling pathway. Therefore, MEG3 can be considered as an intervention target for the treatment of cerebral ischemia/reperfusion injury. This study was approved by the Animal Ethics Committee of the First Affiliated Hospital of Zhengzhou University, China (approval No. XF20190538) on January 4, 2019.
Details
- Language :
- English
- ISSN :
- 16735374
- Volume :
- 17
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- Neural Regeneration Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.06d2aa128f084c4cac670bfd9e57023d
- Document Type :
- article
- Full Text :
- https://doi.org/10.4103/1673-5374.322466