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Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis
BACKGROUND: Sepsis is a fatal disease referring to the presence of a known or strongly suspected infection coupled with systemic and uncontrolled immune activation causing multiple organ failure. However, current knowledge of the role of lncRNAs in sepsis is still extremely limited. METHODS: We perf...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7257169/ https://www.ncbi.nlm.nih.gov/pubmed/32471511 http://dx.doi.org/10.1186/s12967-020-02372-2 |
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author | Cheng, Lixin Nan, Chuanchuan Kang, Lin Zhang, Ning Liu, Sheng Chen, Huaisheng Hong, Chengying Chen, Youlian Liang, Zhen Liu, Xueyan |
author_facet | Cheng, Lixin Nan, Chuanchuan Kang, Lin Zhang, Ning Liu, Sheng Chen, Huaisheng Hong, Chengying Chen, Youlian Liang, Zhen Liu, Xueyan |
author_sort | Cheng, Lixin |
collection | PubMed |
description | BACKGROUND: Sepsis is a fatal disease referring to the presence of a known or strongly suspected infection coupled with systemic and uncontrolled immune activation causing multiple organ failure. However, current knowledge of the role of lncRNAs in sepsis is still extremely limited. METHODS: We performed an in silico investigation of the gene coexpression pattern for the patients response to all-cause sepsis in consecutive intensive care unit (ICU) admissions. Sepsis coexpression gene modules were identified using WGCNA and enrichment analysis. lncRNAs were determined as sepsis biomarkers based on the interactions among lncRNAs and the identified modules. RESULTS: Twenty-three sepsis modules, including both differentially expressed modules and prognostic modules, were identified from the whole blood RNA expression profiling of sepsis patients. Five lncRNAs, FENDRR, MALAT1, TUG1, CRNDE, and ANCR, were detected as sepsis regulators based on the interactions among lncRNAs and the identified coexpression modules. Furthermore, we found that CRNDE and MALAT1 may act as miRNA sponges of sepsis related miRNAs to regulate the expression of sepsis modules. Ultimately, FENDRR, MALAT1, TUG1, and CRNDE were reannotated using three independent lncRNA expression datasets and validated as differentially expressed lncRNAs. CONCLUSION: The procedure facilitates the identification of prognostic biomarkers and novel therapeutic strategies of sepsis. Our findings highlight the importance of transcriptome modularity and regulatory lncRNAs in the progress of sepsis. |
format | Online Article Text |
id | pubmed-7257169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72571692020-06-07 Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis Cheng, Lixin Nan, Chuanchuan Kang, Lin Zhang, Ning Liu, Sheng Chen, Huaisheng Hong, Chengying Chen, Youlian Liang, Zhen Liu, Xueyan J Transl Med Research BACKGROUND: Sepsis is a fatal disease referring to the presence of a known or strongly suspected infection coupled with systemic and uncontrolled immune activation causing multiple organ failure. However, current knowledge of the role of lncRNAs in sepsis is still extremely limited. METHODS: We performed an in silico investigation of the gene coexpression pattern for the patients response to all-cause sepsis in consecutive intensive care unit (ICU) admissions. Sepsis coexpression gene modules were identified using WGCNA and enrichment analysis. lncRNAs were determined as sepsis biomarkers based on the interactions among lncRNAs and the identified modules. RESULTS: Twenty-three sepsis modules, including both differentially expressed modules and prognostic modules, were identified from the whole blood RNA expression profiling of sepsis patients. Five lncRNAs, FENDRR, MALAT1, TUG1, CRNDE, and ANCR, were detected as sepsis regulators based on the interactions among lncRNAs and the identified coexpression modules. Furthermore, we found that CRNDE and MALAT1 may act as miRNA sponges of sepsis related miRNAs to regulate the expression of sepsis modules. Ultimately, FENDRR, MALAT1, TUG1, and CRNDE were reannotated using three independent lncRNA expression datasets and validated as differentially expressed lncRNAs. CONCLUSION: The procedure facilitates the identification of prognostic biomarkers and novel therapeutic strategies of sepsis. Our findings highlight the importance of transcriptome modularity and regulatory lncRNAs in the progress of sepsis. BioMed Central 2020-05-29 /pmc/articles/PMC7257169/ /pubmed/32471511 http://dx.doi.org/10.1186/s12967-020-02372-2 Text en © The Author(s) 2020 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 Cheng, Lixin Nan, Chuanchuan Kang, Lin Zhang, Ning Liu, Sheng Chen, Huaisheng Hong, Chengying Chen, Youlian Liang, Zhen Liu, Xueyan Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis |
title | Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis |
title_full | Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis |
title_fullStr | Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis |
title_full_unstemmed | Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis |
title_short | Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis |
title_sort | whole blood transcriptomic investigation identifies long non-coding rnas as regulators in sepsis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7257169/ https://www.ncbi.nlm.nih.gov/pubmed/32471511 http://dx.doi.org/10.1186/s12967-020-02372-2 |
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