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Background: This study aimed to analyze non-coding RNA sequencing results, screen differentially expressed long non-coding RNAs (lncRNAs), and predict lncRNA target genes. It further clarifies the potential functions of lncRNAs, thus exploring potential biomarkers and therapeutic targets for stroke.Methods: LncRNA sequencing data of blood samples from stroke patients and healthy subjects (GSE102541 and GSE140275) were downloaded from the Gene Expression Omnibus (GEO) database. This study used R software and related R packages to conduct a batch correction and differential analysis of sequencing results.It also screened differentially expressed lncRNAs and visualized the correlations between significantly different lncRNAs. Target genes of differential lncRNAs were predicted by the StarBase database. Gene ontology (GO) functional enrichment analysis of related target genes was performed using the DAVID database. Principal component analysis was performed based on the expression levels of lncRNAs with the most significant differences in stroke blood samples.Results: A total of 239 differentially expressed lncRNAs were screened out in this study, of which 146 were upregulated and 93 were downregulated. According to |log2FC| values from highest to lowest, the top 10 lncRNAs with the most significant differences were selected. The upregulated lncRNAs were LINC02334, TARID, MRGPRF-AS1, CAI2, LINC00189, TUG1, and RNF5P1. The downregulated lncRNAs included AC005180.2, ADAMTS9-AS1, and AC036108.3. TARID was strongly correlated with MRGPRF-AS1. Meanwhile, LINC02334 was strongly correlated with TUG1. CAI2, LINC00189, and RNF5P1 were at the core of the correlation network and may therefore be the critical lncRNAs in stroke pathogenesis. GO functional enrichment results indicated that genes were significantly enriched in muscle contraction, RNA polymerase II promoter transcription regulation, muscle structure composition, focal adhesion, endothelial cell chemotaxis, actin, actin cytoskeleton, actin filament binding, blood lipid regulation, smooth muscle contraction regulation, skeletal muscle cell differentiation, and other functions. Principal component analysis showed that the 10 lncRNAs with significant differences could significantly distinguish stroke blood samples from healthy control blood samples, and could characterize the essential characteristics of stroke.

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Electroacupuncture (EA) could enhance neuroregeneration and posttraumatic conditions; however, the underlying regulatory mechanisms remain ambiguous. PDCD6 (programmed cell death 6) is an established proapoptotic regulator which is responsible for motoneuronal death. However, its potential regulatory role in post-spinal cord injury (SCI) regeneration has remained largely unknown. Further investigations are warranted to clarify the involvement of PDCD6 post-SCI recovery and the underlying mechanisms. In our study, based on bioinformatics prediction, we found that miR-34a-3p might be an upstream regulator miRNA for PDCD6, which was subsequently validated through combined utilization of the qRT-PCR, western blot, and dual-luciferase reporter system. Our in vitro results showed that miR-34a-3p might promote the in vitro differentiation of neural stem cell (NSC) through suppressing PDCD6 and regulating other important neural markers such as fibroblast growth factor receptor 1 (FGFR1), MAP1/2 (MAP kinase kinases 1/2), myelin basic protein (MBP), βIII-tubulin Class III β-tubulin (βIII tubulin), and glial fibrillary acidic protein (GFAP). Notably, in the post-SCI rat model, exogenous miR-34a-3p agomir obviously inhibited the expression of PDCD6 at the protein level and promoted neuronal proliferation, motoneurons regeneration, and axonal myelination. The restorations at cellular level might contribute to the improved hindlimbs functions of post-SCI rats, which was manifested by the Basso-Beattie-Bresnahan (BBB) locomotor test. The impact of miR-34a-3p was further promoted by EA treatment in vivo. Conclusively, this paper argues that a miR-34a-3p/PDCD6 axis might be a candidate therapeutic target for treating SCI and that the therapeutic effect of EA is driven through this pathway.