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AATF Competitively Interacts with Nuclear AIF and Inhibits Parthanatos of Neurons in dMCAO/R and OGD/R Models
1Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Abstract:
Ischemic stroke (IS) poses a heavy burden on the healthcare system, and revascularization is the most effective treatment. However, ischemia/reperfusion (I/R) injury, one main cause of revascularization complications, significantly hinders IS recovery. Unfortunately, none of the neuroprotectants tested to date has been successfully translated clinically for post-revascularization I/R injury therapy. In multiple pathophysiological processes, apoptosis antagonizing transcription factor (AATF) serves as a cell protector, but its role in neuronal I/R injury is unknown. Therefore, we firstly demonstrated the expression profiles of AATF in a distal middle cerebral artery occlusion/reperfusion (dMCAO/R) model and found that AATF expression was increased in cortical neuron after dMCAO/R. Over-expressing AATF reduced infarct volume, alleviated neuronal death, and promoted neurological functions. Next, we used an oxygen-glucose deprivation/reoxygenation (OGD/R) model to investigate the mechanism of AATF. Results indicated that AATF alleviated OGD/R-induced large-scale DNA fragmentation, which suggested that the protective effect of AATF may be attributed to parthanatos inhibition. After that, we examined the regulatory mechanism of AATF. We found that AATF did not affect poly (ADP-ribose) accumulation and apoptosis-inducing factor (AIF) nucleus translocation. AATF competitively interacted with nuclear AIF, which inhibited AIF from binding DNA. At last, we verified the effect and mechanism of AATF in dMCAO/R model. The present study, for the first time, demonstrates the expression, function, and mechanism of AATF in the context of neuronal I/R injury via dMCAO/R and OGD/R model, which provides new evidence in this area and may facilitate exploring new therapeutic targets.
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