Identification of Potential Biomarkers in Neonatal Sepsis by Establishing of a Competitive Endogenous RNA Network.

Clicks: 265
ID: 103974
2020
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Abstract
Neonatal sepsis is a serious and difficult-to-diagnose systemic infectious disease occurring during the neonatal period.This study aimed to identify potential biomarkers of neonatal sepsis and explore its underlying mechanisms.We downloaded the neonatal sepsis-related gene profile GSE25504 from the NCBI Gene Expression Omnibus (GEO) database. The differentially expressed RNAs (DERs) were screened and identified using LIMMA. Then, the functions of the DERs were evaluated using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Finally, a competing endogenous RNA (ceRNA) network was constructed and functional analyses were performed.The initial screen identified 444 differentially expressed (DE)-mRNAs and 45 DE-lncRNAs. GO analysis showed that these DE-mRNAs were involved in immune response, defense response, and positive regulation of immune system process. KEGG analysis showed that these DE-mRNAs were enriched in 30 activated pathways and 6 suppressed pathways, and those with the highest scores were the IL-17 signaling pathway and ribosome, respectively. Next, 722 miRNAs associated with the identified lncRNAs were predicted using miRWalk. A ceRNA network was constructed that included 6 lncRNAs, 11 mRNAs, and 55 miRNAs. In this network, HCP5, LINC00638, XIST and TP53TG1 were hub nodes. Functional analysis of this network identified some essential immune functions, hematopoietic functions, osteoclast differentiation, and primary immunodeficiency as associated with neonatal sepsis.
Reference Key
liu2020identificationcombinatorial Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu, Ling;Wang, Hong;Zhang, Xiaofei;Chen, Rui;
Journal combinatorial chemistry & high throughput screening
Year 2020
DOI
10.2174/1386207323666200401121204
URL
Keywords
neonatal sepsis gene ontology (go) terms cerna network differentially expressed rnas functional analysis. signaling pathways

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