In:
PLOS Neglected Tropical Diseases, Public Library of Science (PLoS), Vol. 15, No. 8 ( 2021-8-4), p. e0009633-
Abstract:
Dengue fever virus (DENV) is a global health threat that is becoming increasingly critical. However, the pathogenesis of dengue has not yet been fully elucidated. In this study, we employed bioinformatics analysis to identify potential biomarkers related to dengue fever and clarify their underlying mechanisms. The results showed that there were 668, 1901, and 8283 differentially expressed genes between the dengue-infected samples and normal samples in the GSE28405, GSE38246, and GSE51808 datasets, respectively. Through overlapping, a total of 69 differentially expressed genes (DEGs) were identified, of which 51 were upregulated and 18 were downregulated. We identified twelve hub genes, including MX1, IFI44L, IFI44, IFI27, ISG15, STAT1, IFI35, OAS3, OAS2, OAS1, IFI6, and USP18. Except for IFI44 and STAT1, the others were statistically significant after validation. We predicted the related microRNAs (miRNAs) of these 12 target genes through the database miRTarBase, and finally obtained one important miRNA: has-mir-146a-5p. In addition, gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were carried out, and a protein–protein interaction (PPI) network was constructed to gain insight into the actions of DEGs. In conclusion, our study displayed the effectiveness of bioinformatics analysis methods in screening potential pathogenic genes in dengue fever and their underlying mechanisms. Further, we successfully predicted IFI44L and IFI6, as potential biomarkers with DENV infection, providing promising targets for the treatment of dengue fever to a certain extent.
Type of Medium:
Online Resource
ISSN:
1935-2735
DOI:
10.1371/journal.pntd.0009633
DOI:
10.1371/journal.pntd.0009633.g001
DOI:
10.1371/journal.pntd.0009633.g002
DOI:
10.1371/journal.pntd.0009633.g003
DOI:
10.1371/journal.pntd.0009633.g004
DOI:
10.1371/journal.pntd.0009633.g005
DOI:
10.1371/journal.pntd.0009633.g006
DOI:
10.1371/journal.pntd.0009633.g007
DOI:
10.1371/journal.pntd.0009633.g008
DOI:
10.1371/journal.pntd.0009633.t001
DOI:
10.1371/journal.pntd.0009633.t002
DOI:
10.1371/journal.pntd.0009633.s001
DOI:
10.1371/journal.pntd.0009633.s002
DOI:
10.1371/journal.pntd.0009633.r001
DOI:
10.1371/journal.pntd.0009633.r002
DOI:
10.1371/journal.pntd.0009633.r003
DOI:
10.1371/journal.pntd.0009633.r004
DOI:
10.1371/journal.pntd.0009633.r005
DOI:
10.1371/journal.pntd.0009633.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2429704-5
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