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Encephalitis is the highest disability illness. We studied the function and mechanisms of circular RNA circARF3 (circARF3) in neurocyte cell inflammatory damage. CCK-8 assay and flow cytometry were, respectively, employed for examining the influences of tumor necrosis factor α (TNF-α), circARF3 and microRNA (miR)-125b on cell viability and apoptosis. The expression of circARF3 and miR-125b were changed by employing cell transfection and the results were determined by using qRT-PCR. Besides, the expression of Bcl-2, Bax, Cleaved-caspase-3, interleukin (IL)-1β, IL-6, IL-8 and cell pathways-related proteins were examined by using Western blot. The productions of IL-6, IL-8 and IL-1β were also tested by ELISA. The level of reactive oxygen species (ROS) was examined by ROS assay. We found that TNF-α caused inflammatory damage showing as suppressed cell viability, enhanced cell apoptosis, and increased cytokines production and ROS generation. Besides, TNF-α inducement also markedly reduced circARF3 expression. circARF3 overexpression mitigated TNF-α-induced cell inflammatory damage. Moreover, miR-125b was targeted and positively regulated by circARF3. Furthermore, miR-125b inhibition could reverse the influences of circARF3 overexpression. Besides, circARF3 restrained the JNK and NF-κB pathways by upregulation of miR-125b. In conclusion, overexpression of circARF3 mitigated cell inflammatory damage via inactivation of JNK and NF-κB pathways and thereby up-regulation of miR-125b.

Many studies have researched the mitochondrial DNA (mtDNA) A10398G in Parkinson's disease (PD) to determine the association between mtDNA A10398G and PD, but the results of their research were not consistent. Therefore, we performed a meta-analysis to demonstrate the connection between mtDNA A10398G and the susceptibility of PD. We searched PubMed, Web of Science, Springer Link, EMBASE and EBSCO databases up to identify relevant studies. Through strict inclusion and exclusion criteria, at last, 9 studies (total 3381 cases and 2810 controls) were included in our meta-analysis. We used the STATA 12.0 statistics software to calculate the pooled odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate the genetic association between mtDNA A10398G and the risk of PD. We performed subgroup analysis to clarify the possible roles of the mtDNA A10398G polymorphism in the aetiology of PD in different ethnicities. Our meta-analysis indicates that although there was no significant association between mtDNA A10398G and PD in the Asian population (G vs. A: OR = 1.090, 95% CI = 0.939–1.284, P = 0.242), in the Caucasian population the G allele of mtDNA A10398G mutations may be a potential protective factor of PD (G vs. A: OR = 0.699, 95% CI = 0.546–0.895, P = 0.005). Further well-designed studies with larger samples are needed to validate these results.

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