Effect of NT-3 on repair of spinal cord injury through the MAPK signaling pathway

Potential Neuroprotective Role of Neurotrophin in Traumatic Brain Injury

Traumatic brain injury (TBI) is a major global health issue that affects millions of people every year. It is caused by any form of external force, resulting in temporary or permanent impairments in the brain. The pathophysiological process following TBI usually involves excitotoxicity, mitochondrial dysfunction, oxidative stress, inflammation, ischemia, and apoptotic cell death. It is challenging to find treatment for TBI due to its heterogeneous nature, and no therapeutic interventions have been approved thus far. Neurotrophins may represent an alternative approach for TBI treatment because they influence various functional activities in the brain. The present review highlights recent studies on neurotrophins shown to possess neuroprotective roles in TBI. Neurotrophins, specifically brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) have demonstrated reduced neuronal death, alleviated neuroinflammatory responses and improved neurological functions following TBI via their immunomodulatory, anti-inflammatory and antioxidant properties. Further studies are required to ensure the efficacy and safety of neurotrophins to be used as TBI treatment in clinical settings.

Transcriptome-Wide N6-Methyladenosine Methylome Alteration in the Rat Spinal Cord After Acute Traumatic Spinal Cord Injury

Recent studies showed that RNA N6-methyladenosine (m6A) plays an important role in neurological diseases. We used methylated RNA immunoprecipitation sequencing (MeRIP-Seq) technology to generate the m6A modification map after traumatic spinal cord injury (TSCI). A total of 2,609 differential m6A peaks were identified after TSCI. Our RNA sequencing results after TSCI showed 4,206 genes with significantly altered expression. Cross-link analysis of m6A sequencing results and RNA sequencing results showed that 141 hyper-methylated genes were upregulated, 53 hyper-methylated genes were downregulated, 57 hypo-methylated genes were upregulated, and 197 hypo-methylated genes were downregulated. Among these, the important inflammatory response factor Tlr4 and the important member of the neurotrophin family Ngf were both upregulated and hyper-methylated after TSCI. This study provides that in the future, the epigenetic modifications of the genes could be used as an indicator of TSCI.

Designing Olfactory Ensheathing Cell Transplantation Therapies: Influence of Cell Microenvironment

Olfactory ensheathing cell (OEC) transplantation is emerging as a promising treatment option for injuries of the nervous system. OECs can be obtained relatively easily from nasal biopsies, and exhibit several properties such as secretion of trophic factors, and phagocytosis of debris that facilitate neural regeneration and repair. But a major limitation of OEC-based cell therapies is the poor survival of transplanted cells which subsequently limit their therapeutic efficacy. There is an unmet need for approaches that enable the in vitro production of OECs in a state that will optimize their survival and integration after transplantation into the hostile injury site. Here, we present an overview of the strategies to modulate OECs focusing on oxygen levels, stimulating migratory, phagocytic, and secretory properties, and on bioengineering a suitable environment in vitro.

Weighted gene co-expression network analysis reveals that CXCL10, IRF7, MX1, RSAD2, and STAT1 are related to the chronic stage of spinal cord injury

Background

The process of spinal cord injury involves acute, subacute, and chronic stages; however, the specific pathological mechanism remains unclear. In this study, weighted gene co-expression network analysis (WGCNA) was used to clarify specific modules and hub genes that associated with SCI.

Methods

The gene expression profiles GEO Series (GSE)45006 and GEO Series (GSE)2599 were downloaded, and the co-expression network modules were identified by the WGCNA package. The protein-protein interaction (PPI) network and Venn diagram were constructed to identify hub genes. Quantitative real-time polymerase chain reaction (QRT-PCR) was used to quantify the degree of the top five candidate genes. Correlation analysis was also carried out between hub genes and immune infiltration.

Results

In total, 14,402 genes and seven modules were identified. The brown module was considered to be the most critical module for the chronic stage of SCI, which contained 775 genes that were primarily associated with various biological processes, including extracellular structure organization, lysosome, isoprenoid biosynthesis, response to nutrients, response to wounding, sulfur compound metabolic process, cofactor metabolic process, and ossification. Furthermore, C-X-C motif chemokine ligand 10 (CXCL10), myxovirus (influenza virus) resistance 1 (MX1), signal transducer and activator of transcription 1 (STAT1), interferon regulatory factor 7 (IRF7) and radical S-adenosyl methionine domain containing 2 (RSAD2) were identified as the hub genes in the PPI and Venn diagram network, and verified by qRT-PCR. Immune infiltration analysis revealed that CD8+ T cells, macrophages, neutrophils, plasmacytoid dendritic cells, helper T cells, Th2 cells, and tumor-infiltrating lymphocytes may be involved in the SCI process.

Conclusions

There were significant differences among the five hub genes (CXCL10, IRF7, MX1, RSAD2, and STAT1) of the brown module, which may be potential diagnostic and prognostic markers of SCI, and immune cell infiltration may play an important role in the chronic stage of SCI.

Identification of potential microRNAs and KEGG pathways in denervation muscle atrophy based on meta-analysis

The molecular mechanism of muscle atrophy has been studied a lot, but there is no comprehensive analysis focusing on the denervated muscle atrophy. The gene network that controls the development of denervated muscle atrophy needs further elucidation. We examined differentially expressed genes (DEGs) from five denervated muscle atrophy microarray datasets and predicted microRNAs that target these DEGs. We also included the differentially expressed microRNAs datasets of denervated muscle atrophy in previous studies as background information to identify potential key microRNAs. Finally, we compared denervated muscle atrophy with disuse muscle atrophy caused by other reasons, and obtained the Den-genes which only differentially expressed in denervated muscle atrophy. In this meta-analysis, we obtained 429 up-regulated genes, 525 down-regulated genes and a batch of key microRNAs in denervated muscle atrophy. We found eight important microRNA-mRNA interactions (miR-1/Jun, miR-1/Vegfa, miR-497/Vegfa, miR-23a/Vegfa, miR-206/Vegfa, miR-497/Suclg1, miR-27a/Suclg1, miR-27a/Mapk14). The top five KEGG pathways enriched by Den-genes are Insulin signaling pathway, T cell receptor signaling pathway, MAPK signaling pathway, Toll-like receptor signaling pathway and B cell receptor signaling pathway. Our research has delineated the RNA regulatory network of denervated muscle atrophy, and uncovered the specific genes and terms in denervated muscle atrophy.

Identification of Regeneration and Hub Genes and Pathways at Different Time Points after Spinal Cord Injury

Spinal cord injury (SCI) is a neurological injury that can cause neuronal loss around the lesion site and leads to locomotive and sensory deficits. However, the underlying molecular mechanisms remain unclear. This study aimed to verify differential gene time-course expression in SCI and provide new insights for gene-level studies. We downloaded two rat expression profiles (GSE464 and GSE45006) from the Gene Expression Omnibus database, including 1 day, 3 days, 7 days, and 14 days post-SCI, along with thoracic spinal cord data for analysis. At each time point, gene integration was performed using "batch normalization." The raw data were standardized, and differentially expressed genes at the different time points versus the control were analyzed by Gene Ontology enrichment analysis, the Kyoto Encyclopedia of Genes and Genomes pathway analysis, and gene set enrichment analysis. A protein-protein interaction network was then built and visualized. In addition, ten hub genes were identified at each time point. Among them, Gnb5, Gng8, Agt, Gnai1, and Psap lack correlation studies in SCI and deserve further investigation. Finally, we screened and analyzed genes for tissue repair, reconstruction, and regeneration and found that Anxa1, Snap25, and Spp1 were closely related to repair and regeneration after SCI. In conclusion, hub genes, signaling pathways, and regeneration genes involved in secondary SCI were identified in our study. These results may be useful for understanding SCI-related biological processes and the development of targeted intervention strategies.

Identification of the biological function of miR-9 in spinal cord ischemia-reperfusion injury in rats

Spinal cord ischemia–reperfusion injury (SCII) is still a serious problem, and the mechanism is not fully elaborated. In the rat SCII model, qRT-PCR was applied to explore the altered expression of miR-9 (miR-9a-5p) after SCII. The biological function of miR-9 and its potential target genes based on bioinformatics analysis and experiment validation in SCII were explored next. Before the surgical procedure of SCII, miR-9 mimic and inhibitor were intrathecally infused. miR-9 mimic improved neurological function. In addition, miR-9 mimic reduced blood-spinal cord barrier (BSCB) disruption, inhibited apoptosis and decreased the expression of IL-6 and IL-1β after SCII. Gene Ontology (GO) analysis demonstrated that the potential target genes of miR-9 were notably enriched in several biological processes, such as “central nervous system development”, “regulation of growth” and “response to cytokine”. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the potential target genes of miR-9 were significantly enriched in several signaling pathways, including “Notch signaling pathway”, “MAPK signaling pathway”, “Focal adhesion” and “Prolactin signaling pathway”. We further found that the protein expression of MAP2K3 and Notch2 were upregulated after SCII while miR-9 mimic reduced the increase of MAP2K3 and Notch2 protein. miR-9 mimic or MAP2K3 inhibitor reduced the release of IL-6 and IL-1β. miR-9 mimic or si-Notch2 reduced the increase of cleaved-caspase3. Moreover, MAP2K3 inhibitor and si-Notch2 reversed the effects of miR-9 inhibitor. In conclusion, overexpression of miR-9 improves neurological outcomes after SCII and might inhibit BSCB disruption, neuroinflammation, and apoptosis through MAP2K3-, or Notch2-mediated signaling pathway in SCII.

Sevoflurane pretreatment regulates abnormal expression of MicroRNAs associated with spinal cord ischemia/reperfusion injury in rats

Background

Spinal cord ischemia/reperfusion injury (SCII) is one of the most serious spinal cord complications that stem from varied spine injuries or thoracoabdominal aortic surgery. Nevertheless, the molecular mechanisms underlying the SCII remain unclear.

Methods

Male Sprague-Dawley (SD) rats were randomly divided into 5 groups of sham, SCII 24 h, SCII 72 h, sevoflurane preconditioning SCII 24 h (SCII 24 h+sevo), and sevoflurane preconditioning SCII 72 h (SCII 72 h+sevo) group. We then analyzed the expression of differentially expressed micro RNAs (DEmiRNAs) in these groups and their target genes. Functional enrichment analysis of their target genes was further performed using Metascape software. The microRNA-messenger RNA-pathway (miRNA-mRNA-pathway) network and the sevoflurane-miRNA-mRNA-pathway integrative network were further constructed to explore the molecular mechanisms underlying SCII and neuroprotective effects of sevoflurane against SCII. Molecular docking was also performed to evaluate the interactions between hub targets and sevoflurane. Finally, the expression levels of miR-21-5p and its target genes [mitogen-activated protein kinase kinase 3 and protein phosphatase 1 regulatory subunit 3B (MAP2K3 and PPP1R3B)] were measured using quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blot analyses.

Results

We found that sevoflurane alters several miRNA expression following SCII at 24 and 72 h after reperfusion. It was shown that miR-221-3p, miR-181a-1-3p, and miR-21-5p were upregulated both at 24 and 72 h in the sevoflurane pre-treatment reperfusion groups. Functional enrichment analysis revealed that target genes for the above co-DEmiRNAs at 24 and 72 h in the SCII group with sevoflurane pretreatment participated in the mitogen-activated protein kinase (MAPK), ErbB, apoptosis, and transforming growth factor-beta (TGF-beta) signaling pathways. Both MAP2K3 and PPP1R3B were found to be common targets for sevoflurane and miRNA-mRNA-pathway (rno-miR-21-5p). It was shown that MAP2K3 regulates the MAPK signaling and the T cell receptor signaling pathways, whereas PPP1R3B regulates the ErbB signaling pathway. Molecular docking further revealed that sevoflurane strongly binds the MAP2K3 and PPP1R3B proteins. Compared to the sham group, SCII induced significant under-expression of miR-21-5p but upregulated PPP1R3B and MAP2K3 proteins; sevoflurane pretreatment increased the expression of miR-21-5p but decreased those of PPP1R3B and MAP2K3 proteins.

Conclusions

In general, sevoflurane regulates the expression of several miRNAs following SCII. In particular, sevoflurane might protect against SCII via regulating the expression of miR-21-5p, its target genes (MAP2K3 and PPP1R3B), and related signaling pathways.

Deciphering Pharmacological Mechanism of Buyang Huanwu Decoction for Spinal Cord Injury by Network Pharmacology Approach

Objective

The purpose of this study was to investigate the mechanism of action of the Chinese herbal formula Buyang Huanwu Decoction (BYHWD), which is commonly used to treat nerve injuries, in the treatment of spinal cord injury (SCI) using a network pharmacology method.

Methods

BYHWD-related targets were obtained by mining the TCMSP and BATMAN-TCM databases, and SCI-related targets were obtained by mining the DisGeNET, TTD, CTD, GeneCards, and MalaCards databases. The overlapping targets of the abovementioned targets may be potential therapeutic targets for BYHWD anti-SCI. Subsequently, we performed protein-protein interaction (PPI) analysis, screened the hub genes using Cytoscape software, performed Gene Ontology (GO) annotation and KEGG pathway enrichment analysis, and finally achieved molecular docking between the hub proteins and key active compounds.

Results

The 189 potential therapeutic targets for BYHWD anti-SCI were overlapping targets of 744 BYHWD-related targets and 923 SCI-related targets. The top 10 genes obtained subsequently included AKT1, IL6, MAPK1, TNF, TP53, VEGFA, CASP3, ALB, MAPK8, and JUN. Fifteen signaling pathways were also screened out after enrichment analysis and literature search. The results of molecular docking of key active compounds and hub target proteins showed a good binding affinity for both.

Conclusion

This study shows that BYHWD anti-SCI is characterized by a multicomponent, multitarget, and multipathway synergy and provides new insights to explore the specific mechanisms of BYHWD against SCI.

New Insight of Circular RNAs' Roles in Central Nervous System Post-Traumatic Injury

The central nervous system (CNS) post-traumatic injury can cause severe nerve damage with devastating consequences. However, its pathophysiological mechanisms remain vague. There is still an urgent need for more effective treatments. Circular RNAs (circRNAs) are non-coding RNAs that can form covalently closed RNA circles. Through second-generation sequencing technology, microarray analysis, bioinformatics, and other technologies, recent studies have shown that a number of circRNAs are differentially expressed after traumatic brain injury (TBI) or spinal cord injury (SCI). These circRNAs play important roles in the proliferation, inflammation, and apoptosis in CNS post-traumatic injury. In this review, we summarize the expression and functions of circRNAs in CNS in recent studies, as well as the circRNA–miRNA–mRNA interaction networks. The potential clinical value of circRNAs as a therapeutic target is also discussed.