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Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis

BACKGROUND: Ankylosing spondylitis (AS) is a chronic autoimmune disease affecting the sacroiliac joint. To date, few studies have examined the association between long non-coding RNAs (lncRNAs) and AS pathogenesis. As such, we herein sought to characterize patterns of AS-related lncRNA expression an...

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Autores principales: Huang, Dan, Liu, Jian, Wan, Lei, Fang, Yanyan, Long, Yan, Zhang, Ying, Bao, Bingxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955637/
https://www.ncbi.nlm.nih.gov/pubmed/33711974
http://dx.doi.org/10.1186/s12891-021-04119-6
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author Huang, Dan
Liu, Jian
Wan, Lei
Fang, Yanyan
Long, Yan
Zhang, Ying
Bao, Bingxi
author_facet Huang, Dan
Liu, Jian
Wan, Lei
Fang, Yanyan
Long, Yan
Zhang, Ying
Bao, Bingxi
author_sort Huang, Dan
collection PubMed
description BACKGROUND: Ankylosing spondylitis (AS) is a chronic autoimmune disease affecting the sacroiliac joint. To date, few studies have examined the association between long non-coding RNAs (lncRNAs) and AS pathogenesis. As such, we herein sought to characterize patterns of AS-related lncRNA expression and to evaluate the potential role played by these lncRNAs in this complex autoimmune context. METHODS: We conducted a RNA-seq analysis of peripheral blood mononuclear cell (PBMC) samples isolated from five AS patients and corresponding controls. These data were then leveraged to characterize AS-related lncRNA expression patterns. We further conducted GO and KEGG enrichment analyses of the parental genes encoding these lncRNAs, and we confirmed the validity of our RNA-seq data by assessing the expression of six lncRNAs via qRT-PCR in 15 AS and control patient samples. Pearson correlation analyses were additionally employed to examine the associations between the expression levels of these six lncRNAs and patient clinical index values. RESULTS: We detected 56,575 total lncRNAs in AS and control patient samples during our initial RNA-seq analysis, of which 200 and 70 were found to be up- and down-regulated (FC > 2 or < 0.05; P < 0.05), respectively, in AS samples relative to controls. In qRT-PCR validation assays, we confirmed the significant upregulation of NONHSAT118801.2, ENST00000444046, and NONHSAT183847.1 and the significant downregulation of NONHSAT205110.1, NONHSAT105444.2, and NONHSAT051856.2 in AS patient samples. We further found the expression of NONHSAT118801.2 and NONHSAT183847.1 to be positively correlated with disease severity. CONCLUSION: Overall, our findings highlight several lncRNAs that are specifically expressed in PBMCs of AS patients, indicating that they may play key functions in the pathogenesis of this autoimmune disease. Specifically, we determined that NONHSAT118801.2 and NONHSAT183847.1 may influence the occurrence and development of AS.
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spelling pubmed-79556372021-03-15 Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis Huang, Dan Liu, Jian Wan, Lei Fang, Yanyan Long, Yan Zhang, Ying Bao, Bingxi BMC Musculoskelet Disord Research Article BACKGROUND: Ankylosing spondylitis (AS) is a chronic autoimmune disease affecting the sacroiliac joint. To date, few studies have examined the association between long non-coding RNAs (lncRNAs) and AS pathogenesis. As such, we herein sought to characterize patterns of AS-related lncRNA expression and to evaluate the potential role played by these lncRNAs in this complex autoimmune context. METHODS: We conducted a RNA-seq analysis of peripheral blood mononuclear cell (PBMC) samples isolated from five AS patients and corresponding controls. These data were then leveraged to characterize AS-related lncRNA expression patterns. We further conducted GO and KEGG enrichment analyses of the parental genes encoding these lncRNAs, and we confirmed the validity of our RNA-seq data by assessing the expression of six lncRNAs via qRT-PCR in 15 AS and control patient samples. Pearson correlation analyses were additionally employed to examine the associations between the expression levels of these six lncRNAs and patient clinical index values. RESULTS: We detected 56,575 total lncRNAs in AS and control patient samples during our initial RNA-seq analysis, of which 200 and 70 were found to be up- and down-regulated (FC > 2 or < 0.05; P < 0.05), respectively, in AS samples relative to controls. In qRT-PCR validation assays, we confirmed the significant upregulation of NONHSAT118801.2, ENST00000444046, and NONHSAT183847.1 and the significant downregulation of NONHSAT205110.1, NONHSAT105444.2, and NONHSAT051856.2 in AS patient samples. We further found the expression of NONHSAT118801.2 and NONHSAT183847.1 to be positively correlated with disease severity. CONCLUSION: Overall, our findings highlight several lncRNAs that are specifically expressed in PBMCs of AS patients, indicating that they may play key functions in the pathogenesis of this autoimmune disease. Specifically, we determined that NONHSAT118801.2 and NONHSAT183847.1 may influence the occurrence and development of AS. BioMed Central 2021-03-12 /pmc/articles/PMC7955637/ /pubmed/33711974 http://dx.doi.org/10.1186/s12891-021-04119-6 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Huang, Dan
Liu, Jian
Wan, Lei
Fang, Yanyan
Long, Yan
Zhang, Ying
Bao, Bingxi
Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis
title Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis
title_full Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis
title_fullStr Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis
title_full_unstemmed Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis
title_short Identification of lncRNAs associated with the pathogenesis of ankylosing spondylitis
title_sort identification of lncrnas associated with the pathogenesis of ankylosing spondylitis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955637/
https://www.ncbi.nlm.nih.gov/pubmed/33711974
http://dx.doi.org/10.1186/s12891-021-04119-6
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