LncRNA XLOC_003810 modulates thymic Th17/Treg balance in myasthenia gravis with thymoma

Niu, Li; Jiang, Jun; Yin, Ying; Hu, Bo

doi:10.1111/1440-1681.13280

Cited by 20 publications

(14 citation statements)

References 24 publications

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“…The most significant GO enrichment terms were phosphoric ester hydrolase activity, phosphatase activity, and hydrolase activity. 15 Because thymectomy is a major theme in the study of MG, there are an increasing number of studies on thymomas and thymuses in patients with MG. Comparing MG+ thymomas with MG+ thymuses, several oncogenes, including PLK5, HMGA2, and REG4, are notably upregulated.…”

Section: Discussionmentioning

confidence: 99%

LncRNA and mRNA expression associated with myasthenia gravis in patients with thymoma

Cui

et al. 2021

Thoracic Cancer

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Objective Pathological alterations of the thymus are observed in the majority of patients with myasthenia gravis (MG). To explore the potential mechanisms of these alterations, we performed a transcriptome analysis and measured co‐expression of aberrant long non‐coding RNAs (lncRNAs) and messenger RNAs (mRNAs). Methods RNA was extracted from eight patients with thymoma, five of whom had MG. Transcriptome profiles were acquired through mRNA and lncRNA microarray analysis. Quantitative reverse transcription polymerase chain reaction was used to verify the results of the microarray analysis. LncRNAs co‐expressed with mRNA were analyzed with Pearson's coefficient. Next, cis‐regulated and trans‐regulated target genes were predicted. The functions of aberrant lncRNAs were explored on the basis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of target mRNAs. Results The comparative microarray analysis identified 4360 lncRNAs and 2545 mRNAs with significant differential expression. The most significant GO enrichment terms were phosphoric ester hydrolase activity, phosphatase activity, and hydrolase activity, which were assigned as molecular functions. Regulation of endosome size was the most significant GO enrichment term assigned as a biological process, and Golgi apparatus was the most significant GO enrichment term assigned as cellular component. The reliability prediction terms of KEGG included calcium signaling pathway, glycosphingolipid biosynthesis, and caffeine metabolism. Conclusion MG‐positive thymoma is associated with overactive biological processes and molecular functions, especially dephosphorylation and hydrolysis, which may affect thymocyte survival during selection in the thymus.

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Section: Discussionmentioning

confidence: 99%

LncRNA and mRNA expression associated with myasthenia gravis in patients with thymoma

Cui

et al. 2021

Thoracic Cancer

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“…Immunomagneticallypurified Tregs from MG patients were found to suppress the proliferative response of other T cells (20). Leading to imbalance of T/B cells and subsequently affecting the production of auto antibodies (21,22). Additionally, differentiation of Tregs is anticipated to be associated with myasthenia predisposition (23).…”

Section: Discussionmentioning

confidence: 99%

Signaling pathways of genetic variants and miRNAs in the pathogenesis of myasthenia gravis

Qian

Deng

et al. 2020

Gland Surg

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Background: Myasthenia gravis (MG) is a chronic autoimmune neuromuscular disorder causing muscle weakness and characterized by a defect in synaptic transmission at the neuromuscular junction. The pathogenesis of this disease remains unclear. We aimed to predict the key signaling pathways of genetic variants and miRNAs in the pathogenesis of MG, and identify the key genes among them.Methods: We searched published information regarding associated single nucleotide polymorphisms (SNPs) and differentially-expressed miRNAs in MG cases. We search of SNPs and miRNAs in literature databases about MG, then we used bioinformatic tools to predict target genes of miRNAs. Moreover, functional enrichment analysis for key genes was carried out utilizing the Cytoscape-plugin, known as ClueGO. These key genes were mapped to STRING database to construct a protein-protein interaction (PPI) network.Then a miRNA-target gene regulatory network was established to screen key genes.Results: Five genes containing SNPs associated with MG risk were involved in the inflammatory bowel disease (IBD) signaling pathway, and FoxP3 was the key gene. MAPK1, SMAD4, SMAD2 and BCL2 were predicted to be targeted by the 18 miRNAs and to act as the key genes in adherens, junctions, apoptosis, or cancer-related pathways respectively. These five key genes containing SNPs or targeted by miRNAs were found to be involved in negative regulation of T cell differentiation. Conclusions:We speculate that SNPs cause the genes to be defective or the miRNAs to downregulate the factors that subsequently negatively regulate regulatory T cells and trigger the onset of MG.

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“…Notably, upregulation of XLOC_003810 has aggravated the imbalance between Th17 and Treg cells in MG-T thymic CD4+ T cells. Thus, XLOC_003810 could influence the balance between Th17 and Treg cells in the context of MG-T [ 11 ].…”

Section: Lncrnas and Mgmentioning

confidence: 99%

A Review on the Role of Non-Coding RNAs in the Pathogenesis of Myasthenia Gravis

Ghafouri‐Fard

Azimi

Hussen

et al. 2021

IJMS

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Myasthenia gravis (MG) is an autoimmune condition related to autoantibodies against certain proteins in the postsynaptic membranes in the neuromuscular junction. This disorder has a multifactorial inheritance. The connection between environmental and genetic factors can be established by epigenetic factors, such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs). XLOC_003810, SNHG16, IFNG-AS1, and MALAT-1 are among the lncRNAs with a possible role in the pathoetiology of MG. Moreover, miR-150-5p, miR-155, miR-146a-5p, miR-20b, miR-21-5p, miR-126, let-7a-5p, and let-7f-5p are among miRNAs whose roles in the pathogenesis of MG has been assessed. In the current review, we summarize the impact of miRNAs and lncRNAs in the development or progression of MG.

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LncRNA XLOC_003810 modulates thymic Th17/Treg balance in myasthenia gravis with thymoma

Cited by 20 publications

References 24 publications

LncRNA and mRNA expression associated with myasthenia gravis in patients with thymoma

LncRNA and mRNA expression associated with myasthenia gravis in patients with thymoma

Signaling pathways of genetic variants and miRNAs in the pathogenesis of myasthenia gravis

A Review on the Role of Non-Coding RNAs in the Pathogenesis of Myasthenia Gravis

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