Identification of potential biomarkers in dengue via integrated bioinformatic analysis

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...

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Main Authors: Li-Min Xie, Xin Yin, Jie Bi, Huan-Min Luo, Xun-Jie Cao, Yu-Wen Ma, Ye-Ling Liu, Jian-Wen Su, Geng-Ling Lin, Xu-Guang Guo
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2021
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Online Access:https://doaj.org/article/5c9b888be01148068dd4f179ace9ae3b
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spelling ftdoajarticles:oai:doaj.org/article:5c9b888be01148068dd4f179ace9ae3b 2023-05-15T15:14:24+02:00 Identification of potential biomarkers in dengue via integrated bioinformatic analysis Li-Min Xie Xin Yin Jie Bi Huan-Min Luo Xun-Jie Cao Yu-Wen Ma Ye-Ling Liu Jian-Wen Su Geng-Ling Lin Xu-Guang Guo 2021-08-01T00:00:00Z https://doaj.org/article/5c9b888be01148068dd4f179ace9ae3b EN eng Public Library of Science (PLoS) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336846/?tool=EBI https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 https://doaj.org/article/5c9b888be01148068dd4f179ace9ae3b PLoS Neglected Tropical Diseases, Vol 15, Iss 8 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles 2022-12-31T13:03:27Z 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. Author summary Dengue fever is a mosquito borne viral disease caused by a single stranded RNA virus with four serotypes. DENV infection can cause various diseases, such as breakbone fever, haemorrhagic fever, and shock syndrome. As one of the most viral diseases leading to incidence rate and mortality in animal arthropods, Dengue fever has become an increasingly serious global health threat. However, the pathogenesis of ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
spellingShingle Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
Li-Min Xie
Xin Yin
Jie Bi
Huan-Min Luo
Xun-Jie Cao
Yu-Wen Ma
Ye-Ling Liu
Jian-Wen Su
Geng-Ling Lin
Xu-Guang Guo
Identification of potential biomarkers in dengue via integrated bioinformatic analysis
topic_facet Arctic medicine. Tropical medicine
RC955-962
Public aspects of medicine
RA1-1270
description 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. Author summary Dengue fever is a mosquito borne viral disease caused by a single stranded RNA virus with four serotypes. DENV infection can cause various diseases, such as breakbone fever, haemorrhagic fever, and shock syndrome. As one of the most viral diseases leading to incidence rate and mortality in animal arthropods, Dengue fever has become an increasingly serious global health threat. However, the pathogenesis of ...
format Article in Journal/Newspaper
author Li-Min Xie
Xin Yin
Jie Bi
Huan-Min Luo
Xun-Jie Cao
Yu-Wen Ma
Ye-Ling Liu
Jian-Wen Su
Geng-Ling Lin
Xu-Guang Guo
author_facet Li-Min Xie
Xin Yin
Jie Bi
Huan-Min Luo
Xun-Jie Cao
Yu-Wen Ma
Ye-Ling Liu
Jian-Wen Su
Geng-Ling Lin
Xu-Guang Guo
author_sort Li-Min Xie
title Identification of potential biomarkers in dengue via integrated bioinformatic analysis
title_short Identification of potential biomarkers in dengue via integrated bioinformatic analysis
title_full Identification of potential biomarkers in dengue via integrated bioinformatic analysis
title_fullStr Identification of potential biomarkers in dengue via integrated bioinformatic analysis
title_full_unstemmed Identification of potential biomarkers in dengue via integrated bioinformatic analysis
title_sort identification of potential biomarkers in dengue via integrated bioinformatic analysis
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/5c9b888be01148068dd4f179ace9ae3b
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source PLoS Neglected Tropical Diseases, Vol 15, Iss 8 (2021)
op_relation https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336846/?tool=EBI
https://doaj.org/toc/1935-2727
https://doaj.org/toc/1935-2735
1935-2727
1935-2735
https://doaj.org/article/5c9b888be01148068dd4f179ace9ae3b
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