Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheng, Lixin, Nan, Chuanchuan, Kang, Lin, Zhang, Ning, Liu, Sheng, Chen, Huaisheng, Hong, Chengying, Chen, Youlian, Liang, Zhen, Liu, Xueyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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
_version_ 1783540038606258176
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
work_keys_str_mv AT chenglixin wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT nanchuanchuan wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT kanglin wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT zhangning wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT liusheng wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT chenhuaisheng wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT hongchengying wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT chenyoulian wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT liangzhen wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis
AT liuxueyan wholebloodtranscriptomicinvestigationidentifieslongnoncodingrnasasregulatorsinsepsis