Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network

Background: Sepsis is a dysregulated host response to pathogens. Delay in sepsis diagnosis has become a primary cause of patient death. This study determines some factors to prevent septic shock in its early stage, contributing to the early treatment of sepsis. Methods: The sequencing data (RNA- and...

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Autores principales: Liou Huang, Chunrong Wu, Dan Xu, Yuhui Cui, Jianguo Tang
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Lenguaje:EN
Publicado: SAGE Publishing 2021
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spelling oai:doaj.org-article:7a267dcaffd740639bbfae2e317467552021-12-01T02:04:02ZScreening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network1176-934310.1177/11769343211058463https://doaj.org/article/7a267dcaffd740639bbfae2e317467552021-11-01T00:00:00Zhttps://doi.org/10.1177/11769343211058463https://doaj.org/toc/1176-9343Background: Sepsis is a dysregulated host response to pathogens. Delay in sepsis diagnosis has become a primary cause of patient death. This study determines some factors to prevent septic shock in its early stage, contributing to the early treatment of sepsis. Methods: The sequencing data (RNA- and miRNA-sequencing) of patients with septic shock were obtained from the NCBI GEO database. After re-annotation, we obtained lncRNAs, miRNA, and mRNA information. Then, we evaluated the immune characteristics of the sample based on the ssGSEA algorithm. We used the WGCNA algorithm to obtain genes significantly related to immunity and screen for important related factors by constructing a ceRNA regulatory network. Result: After re-annotation, we obtained 1708 lncRNAs, 129 miRNAs, and 17 326 mRNAs. Also, through the ssGSEA algorithm, we obtained 5 important immune cells. Finally, we constructed a ceRNA regulation network associated with SS pathways. Conclusion: We identified 5 immune cells with significant changes in the early stage of septic shock. We also constructed a ceRNA network, which will help us explore the pathogenesis of septic shock.Liou HuangChunrong WuDan XuYuhui CuiJianguo TangSAGE PublishingarticleEvolutionQH359-425ENEvolutionary Bioinformatics, Vol 17 (2021)
institution DOAJ
collection DOAJ
language EN
topic Evolution
QH359-425
spellingShingle Evolution
QH359-425
Liou Huang
Chunrong Wu
Dan Xu
Yuhui Cui
Jianguo Tang
Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network
description Background: Sepsis is a dysregulated host response to pathogens. Delay in sepsis diagnosis has become a primary cause of patient death. This study determines some factors to prevent septic shock in its early stage, contributing to the early treatment of sepsis. Methods: The sequencing data (RNA- and miRNA-sequencing) of patients with septic shock were obtained from the NCBI GEO database. After re-annotation, we obtained lncRNAs, miRNA, and mRNA information. Then, we evaluated the immune characteristics of the sample based on the ssGSEA algorithm. We used the WGCNA algorithm to obtain genes significantly related to immunity and screen for important related factors by constructing a ceRNA regulatory network. Result: After re-annotation, we obtained 1708 lncRNAs, 129 miRNAs, and 17 326 mRNAs. Also, through the ssGSEA algorithm, we obtained 5 important immune cells. Finally, we constructed a ceRNA regulation network associated with SS pathways. Conclusion: We identified 5 immune cells with significant changes in the early stage of septic shock. We also constructed a ceRNA network, which will help us explore the pathogenesis of septic shock.
format article
author Liou Huang
Chunrong Wu
Dan Xu
Yuhui Cui
Jianguo Tang
author_facet Liou Huang
Chunrong Wu
Dan Xu
Yuhui Cui
Jianguo Tang
author_sort Liou Huang
title Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network
title_short Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network
title_full Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network
title_fullStr Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network
title_full_unstemmed Screening of Important Factors in the Early Sepsis Stage Based on the Evaluation of ssGSEA Algorithm and ceRNA Regulatory Network
title_sort screening of important factors in the early sepsis stage based on the evaluation of ssgsea algorithm and cerna regulatory network
publisher SAGE Publishing
publishDate 2021
url https://doaj.org/article/7a267dcaffd740639bbfae2e31746755
work_keys_str_mv AT liouhuang screeningofimportantfactorsintheearlysepsisstagebasedontheevaluationofssgseaalgorithmandcernaregulatorynetwork
AT chunrongwu screeningofimportantfactorsintheearlysepsisstagebasedontheevaluationofssgseaalgorithmandcernaregulatorynetwork
AT danxu screeningofimportantfactorsintheearlysepsisstagebasedontheevaluationofssgseaalgorithmandcernaregulatorynetwork
AT yuhuicui screeningofimportantfactorsintheearlysepsisstagebasedontheevaluationofssgseaalgorithmandcernaregulatorynetwork
AT jianguotang screeningofimportantfactorsintheearlysepsisstagebasedontheevaluationofssgseaalgorithmandcernaregulatorynetwork
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