Abstract

Ischemic stroke affects many people in the world, but the underlying mechanism is not completely understood. In this study, we investigated the effect of microRNA (miR)-31 on ischemic stroke. We also determined downstream signaling pathway of miR-31 in recovery of neurological function in ischemic stroke. Middle cerebral artery occlusion (MCAO) in mice was used to mimic human stroke. Foot fault test and mNSS were used to evaluate neurological deficits in mice after stroke. TTC staining in brain tissues was used for determining infarct volume. We extracted and identified extracellular vesicles (EVs) derived from adipose-derived stem cells (ADSCs) to study the impact of miR-31 and TRAF6 by miR-31 overexpression or TRAF6 knockdown on stroke recovery. Primary mouse neuron exposed to oxygen-glucose deprivation (OGD) was used to mimic neuronal ischemic injury. RT-qPCR and Western blot analysis were used for determination of mRNA and protein expression, respectively. MTT assay was used for studying cell survival. TUNEL staining was sued for neuron apoptosis. Starbase website and dual luciferase reporter gene assay were utilized to predicted and verify binding relationship between miR-31 and TRAF6. Neurological functions were improved by miR-31 from ADSC-derived EVs, as suggested by improved foot fault and mNSS. miR-31 from ADSC-derived EVs also reduced infarct volume and neuronal cell apoptosis after stroke in mice. Similarly, in neuronal cell culture, miR-31 from ADSC-derived EVs reduced the expression of apoptosis-related factors cleaved caspase-3 and Bax, increased the survival, and reduced apoptosis of neuronal cells after OGD. miR-31 was found to downregulate the expression of TRAF6 by binding to the 3′-untranslated region (3′-UTR) of TRAF6, which in turn upregulated IRF5 expression. Increased expression of IRF5 led to increased neuron apoptosis after OGD. In conclusion, miR-31 from ADSC-derived EVs can downregulate expression of TRAF6 and IRF5, leading to reduced neuronal damage induced by ischemic stroke.

Full Text
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