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Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing

BACKGROUND: Myasthenia 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. METH...

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Autores principales: Lu, Wei, Lu, Yao, Wang, Chun‐Feng, Chen, Ting‐Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059713/
https://www.ncbi.nlm.nih.gov/pubmed/33543801
http://dx.doi.org/10.1002/jcla.23722
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author Lu, Wei
Lu, Yao
Wang, Chun‐Feng
Chen, Ting‐Ting
author_facet Lu, Wei
Lu, Yao
Wang, Chun‐Feng
Chen, Ting‐Ting
author_sort Lu, Wei
collection PubMed
description BACKGROUND: Myasthenia 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: We conducted a comprehensive analysis of exosomal lncRNAs to reveal potential biomarkers for the MG diagnosis and severity assessment.
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spelling pubmed-80597132021-04-23 Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing Lu, Wei Lu, Yao Wang, Chun‐Feng Chen, Ting‐Ting J Clin Lab Anal Research Articles BACKGROUND: Myasthenia 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: We conducted a comprehensive analysis of exosomal lncRNAs to reveal potential biomarkers for the MG diagnosis and severity assessment. John Wiley and Sons Inc. 2021-02-05 /pmc/articles/PMC8059713/ /pubmed/33543801 http://dx.doi.org/10.1002/jcla.23722 Text en © 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Lu, Wei
Lu, Yao
Wang, Chun‐Feng
Chen, Ting‐Ting
Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing
title Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing
title_full Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing
title_fullStr Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing
title_full_unstemmed Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing
title_short Expression profiling and bioinformatics analysis of exosomal long noncoding RNAs in patients with myasthenia gravis by RNA sequencing
title_sort expression profiling and bioinformatics analysis of exosomal long noncoding rnas in patients with myasthenia gravis by rna sequencing
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059713/
https://www.ncbi.nlm.nih.gov/pubmed/33543801
http://dx.doi.org/10.1002/jcla.23722
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