MicroRNA-183 regulates lipopolysaccharide-induced oxidative stress of hippocampal neurons by targeting the fibronectin 1 gene

Xie, Qing; Feng, Luqiu; Zhang, Cheng; Gan, Ling

doi:10.1016/j.neulet.2020.134902

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…For example, MicroRNA-149 could suppress hepatic inflammatory response through antagonizing STAT3 signaling pathway (Zhang et al, 2017). Besides, MicroRNA-183 regulates LPS-induced oxidative stress by targeting FN1 (Xie et al, 2020) and MicroRNA-140-3p can ameliorate the progression of osteoarthritis via targeting CXCR4 (Ren et al, 2020). Therefore, MicorRNA and TFs may act as important targets for the treatment of SCI patients with AS, providing direction for later researches.…”

Section: Discussionmentioning

confidence: 99%

Drug Discovery in Spinal Cord Injury With Ankylosing Spondylitis Identified by Text Mining and Biomedical Databases

Wang

et al. 2022

Front. Genet.

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Spinal cord injury (SCI) and ankylosing spondylitis (AS) are common inflammatory diseases in spine surgery. However, it is a project where the relationship between the two diseases is ambiguous and the efficiency of drug discovery is limited. Therefore, the study aimed to investigate new drug therapies for SCI and AS. First, text mining was used to obtain the interacting genes related to SCI and AS, and then, the functional analysis was conducted. Protein–protein interaction (PPI) networks were constructed by STRING online and Cytoscape software to identify hub genes. Last, hub genes and potential drugs were performed after undergoing drug–gene interaction analysis, and MicroRNA and transcription factors regulatory networks were also analyzed. Two hundred five genes common to “SCI” and “AS” identified by text mining were enriched in inflammatory responses. PPI network analysis showed that 30 genes constructed two significant modules. Ultimately, nine (SST, VWF, IL1B, IL6, CXCR4, VEGFA, SERPINE1, FN1, and PROS1) out of 30 genes could be targetable by a total of 13 drugs. In conclusion, the novel core genes contribute to a novel insight for latent functional mechanisms and present potential prognostic indicators and therapeutic targets in SCI and AS.

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Section: Discussionmentioning

confidence: 99%

Drug Discovery in Spinal Cord Injury With Ankylosing Spondylitis Identified by Text Mining and Biomedical Databases

Wang

et al. 2022

Front. Genet.

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“…A previous study demonstrated that miR-183 regulates LPSinduced oxidative stress in rat hippocampal neurons by regulating the expression of FN1 to reduce oxidative damage (Xie et al, 2020). Nicotine and cigarette smoke obviously stimulate the expression of FN1 in lung fibroblasts and mouse lung tissues (Roman et al, 2004;Zhao et al, 2019).…”

Section: Discussionmentioning

confidence: 97%

Screening and Identification of Hub Genes in the Corticosteroid Resistance Network in Human Airway Epithelial Cells via Microarray Analysis

et al. 2021

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Background and Objective: Corticosteroid resistance is a major barrier to chronic obstructive pulmonary disease (COPD), but the exact mechanism of corticosteroid resistance in COPD has been less well studied.Methods: The microarray dataset GSE11906, which includes genomic and clinical data on COPD, was downloaded from the Gene Expression Omnibus (GEO) database, and the differentially expressed genes (DEGs) were identified using R software. Gene set enrichment analysis (GSEA) and Kyoto Encyclopedia of Genes (KEGG) were utilized to enrich and analyze the gene cohort related to the response to steroid hormones, respectively. The Connectivity Map (CMap) database was used to screen corticosteroid resistance-related drugs that might exert a potential therapeutic effect. STRING was used to construct a protein-protein interaction (PPI) network of the gene cohort, and the CytoHubba plug-in of Cytoscape was used to screen the hub genes in the PPI network. The expression levels of hub genes in cigarette smoke extract (CSE)-stimulated bronchial epithelial cells were assayed by quantitative real-time PCR and western blotting.Results: Twenty-one genes were found to be correlated with the response to steroid hormones. In the CMap database, 32 small-molecule compounds that might exert a therapeutic effect on corticosteroid resistance in COPD were identified. Nine hub genes were extracted from the PPI network. The expression levels of the BMP4, FOS, FN1, EGFR, and SPP1 proteins were consistent with the microarray data obtained from molecular biology experiments. Scopoletin significantly restrained the increases in the levels of AKR1C3, ALDH3A1, FN1 and reversed the decreases of phosphorylated GR and HDAC2 caused by CSE exposure.Conclusion: The BMP4, FOS, FN1, EGFR, and SPP1 genes are closely correlated with CSE-induced glucocorticoid resistance in airway epithelial cells. Scopoletin may be a potential drug for the treatment of glucocorticoid resistance caused by CSE.

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“… Qin et al (2023) revealed that miR-6734-3p and its target mRNA Cyth4 expression were correlated with patients’ age in Alzheimer’s disease. Xie et al (2020) presented that miR-183 regulated lipopolysaccharide-induced oxidative stress in hippocampal neurons by targeting Fn1 expression to minimize oxidative damage, suggesting miR-183/Fn1 axis was important in oxidative stress-associated neurodegenerative diseases. Additionally, the other hub genes, C1qb, C1qa, Wdfy4, Card11, and Csf2rb are associated with the immune process through ceRNA network regulation, but no studies reported them in photoreceptor degeneration, indicating these hub genes might be potential and novel therapeutic targets ( Li Y. et al, 2021 ; Zhu et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Analysis of shared ceRNA networks and related-hub genes in rats with primary and secondary photoreceptor degeneration

Liang,

Fang,

Yao

et al. 2023

Front. Neurosci.

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IntroductionPhotoreceptor degenerative diseases are characterized by the progressive death of photoreceptor cells, resulting in irreversible visual impairment. However, the role of competing endogenous RNA (ceRNA) in photoreceptor degeneration is unclear. We aimed to explore the shared ceRNA regulation network and potential molecular mechanisms between primary and secondary photoreceptor degenerations.MethodsWe established animal models for both types of photoreceptor degenerations and conducted retina RNA sequencing to identify shared differentially expressed long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs). Using ceRNA regulatory principles, we constructed a shared ceRNA network and performed function enrichment and protein–protein interaction (PPI) analyses to identify hub genes and key pathways. Immune cell infiltration and drug–gene interaction analyses were conducted, and hub gene expression was validated by quantitative real-time polymerase chain reaction (qRT-PCR).ResultsWe identified 37 shared differentially expressed lncRNAs, 34 miRNAs, and 247 mRNAs and constructed a ceRNA network consisting of 3 lncRNAs, 5 miRNAs, and 109 mRNAs. Furthermore, we examined 109 common differentially expressed genes (DEGs) through functional annotation, PPI analysis, and regulatory network analysis. We discovered that these diseases shared the complement and coagulation cascades pathway. Eight hub genes were identified and enriched in the immune system process. Immune infiltration analysis revealed increased T cells and decreased B cells in both photoreceptor degenerations. The expression of hub genes was closely associated with the quantities of immune cell types. Additionally, we identified 7 immune therapeutical drugs that target the hub genes.DiscussionOur findings provide new insights and directions for understanding the common mechanisms underlying the development of photoreceptor degeneration. The hub genes and related ceRNA networks we identified may offer new perspectives for elucidating the mechanisms and hold promise for the development of innovative treatment strategies.

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MicroRNA-183 regulates lipopolysaccharide-induced oxidative stress of hippocampal neurons by targeting the fibronectin 1 gene

Cited by 7 publications

References 21 publications

Drug Discovery in Spinal Cord Injury With Ankylosing Spondylitis Identified by Text Mining and Biomedical Databases

Drug Discovery in Spinal Cord Injury With Ankylosing Spondylitis Identified by Text Mining and Biomedical Databases

Screening and Identification of Hub Genes in the Corticosteroid Resistance Network in Human Airway Epithelial Cells via Microarray Analysis

Analysis of shared ceRNA networks and related-hub genes in rats with primary and secondary photoreceptor degeneration

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