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

This study aimed to identify potential biomarkers of neonatal sepsis and explore its underlying mechanisms.
METHODS: 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.
RESULTS: 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.
PMID: 32233999 [PubMed - as sup...

Source: Combinatorial Chemistry and High Throughput Screening - March 31, 2020 Category: Chemistry Authors: Liu L, Wang H, Zhang X, Chen R Tags: Comb Chem High Throughput Screen Source Type: research