ArticleJournal of clinical laboratory analysis2021
Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Exosomes in Myasthenia Gravis-Review.Cells · 2026Review
- Review
- Exosomes in Action: Unraveling Their Role in Autoimmune Diseases and Exploring Potential Therapeutic Applications.Immune network · 2024Review
- Non-coding RNA and its network in the pathogenesis of Myasthenia Gravis.Frontiers in molecular biosciences · 2024Review
- The intricate dance of non-coding RNAs in myasthenia gravis pathogenesis and treatment.Frontiers in immunology · 2024Review
- RNA sequencing and bioinformatics analysis of differentially expressed genes in the peripheral serum of ankylosing spondylitis patients.Journal of orthopaedic surgery and research · 2023Article
- A Review on the Role of Non-Coding RNAs in the Pathogenesis of Myasthenia Gravis.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMyasthenia gravis (MG) is an autoimmune disease mediated by acetylcholine receptor antibodies. Exosomes were shown to be involved in the immune modulation and autoimmune diseases. However, the expression and function of exosomal long noncoding RNAs (lncRNAs) in MG are still unclear.
methodsWe conducted high-throughput sequencing to detect the lncRNA profiles of serum exosomes in 6 MG patients (2 grade I, 2 grade IIa, and 2 grade IIb) and 6 healthy controls (HC). Then, differentially expressed (DE) lncRNAs with the greatest difference between the MG and HC groups were selected for further quantitative real-time polymerase chain reaction (qRT-PCR) validation in additional 30 MG patients and 10 HC. The DE lncRNAs were used to construct the coding/noncoding network and perform enrichment analysis.
resultsWe identified 378 significantly upregulated and 348 significantly downregulated lncRNAs in MG patients compared with HC. The top 5 lncRNAs (NR_104677.1, ENST00000583253.1, NR_046098.1, NR_022008.1, and ENST00000581362.1) were validated and shown to be significantly increased in the serum exosome of MG, and the expression level of NR_046098.1 significantly increased with the MG grading. Enrichment analysis showed that DE genes mainly participated in the basic biological regulation of MG and immune-related pathways, such as autoimmune thyroid disease pathway and T-cell receptor signaling pathway. A specific lncRNA-miRNA-mRNA regulatory network associated with the 5 lncRNAs, 14 MG-related miRNAs and 30 mRNAs was constructed.
conclusionsWe conducted a comprehensive analysis of exosomal lncRNAs to reveal potential biomarkers for the MG diagnosis and severity assessment.
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Registered trials
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