In silico identification of potential miRNAs -mRNA inflammatory networks implicated in the pathogenesis of COVID-19
Human Gene
; 36 (no pagination), 2023.
Article
in English
| EMBASE | ID: covidwho-2296239
ABSTRACT
COVID-19 has been found to affect the expression profile of several mRNAs and miRNAs, leading to dysregulation of a number of signaling pathways, particularly those related to inflammatory responses. In the current study, a systematic biology procedure was used for the analysis of high-throughput expression data from blood specimens of COVID-19 and healthy individuals. Differentially expressed miRNAs in blood specimens of COVID-19 vs. healthy specimens were then identified to construct and analyze miRNA-mRNA networks and predict key miRNAs and genes in inflammatory pathways. Our results showed that 171 miRNAs were expressed as outliers in box plot and located in the critical areas according to our statistical analysis. Among them, 8 miRNAs, namely miR-1275, miR-4429, miR-4489, miR-6721-5p, miR-5010-5p, miR-7110-5p, miR-6804-5p and miR-6881-3p were found to affect expression of key genes in NF-KB, JAK/STAT and MAPK signaling pathways implicated in COVID-19 pathogenesis. In addition, our results predicted that 25 genes involved in above-mentioned inflammatory pathways were targeted not only by these 8 miRNAs but also by other obtained miRNAs (163 miRNAs). The results of the current in silico study represent candidate targets for further studies in COVID-19.Copyright © 2023 Elsevier B.V.
covid-19; Inflammation; jak-stat; mapk; MicroRNA (miRNA); NF-kappaB; adult; aged; article; bioinformatics; computer model; controlled study; coronavirus disease 2019; differential expression analysis; female; gene expression; gene network analysis; gene ontology; gene overexpression; gene silencing; high throughput analysis; high throughput sequencing; human; JAK-STAT signaling; kegg; major clinical study; male; MAPK signaling; middle aged; NF kB signaling; pathogenesis; prediction; protein expression; real time polymerase chain reaction; RNA sequencing; signal transduction; transcriptomics; epidermal growth factor/ec [Endogenous Compound]; immunoglobulin enhancer binding protein/ec [Endogenous Compound]; interleukin 6/ec [Endogenous Compound]; Janus kinase/ec [Endogenous Compound]; messenger RNA/ec [Endogenous Compound]; microRNA/ec [Endogenous Compound]; mitogen activated protein kinase/ec [Endogenous Compound]; mitogen activated protein kinase 1/ec [Endogenous Compound]; mitogen activated protein kinase 10/ec [Endogenous Compound]; mitogen activated protein kinase 13/ec [Endogenous Compound]; mitogen activated protein kinase 14/ec [Endogenous Compound]; mitogen activated protein kinase 9/ec [Endogenous Compound]; myeloid differentiation factor 88/ec [Endogenous Compound]; phosphatidylinositol 3 kinase/ec [Endogenous Compound]; STAT protein/ec [Endogenous Compound]; STAT2 protein/ec [Endogenous Compound]; STAT3 protein/ec [Endogenous Compound]; stress activated protein kinase 1/ec [Endogenous Compound]; toll like receptor 4/ec [Endogenous Compound]; tumor necrosis factor receptor associated factor/ec [Endogenous Compound]; unclassified drug; bioinformatics software; genetic analyzer; high throughput sequencer; PCR assay kit; microRNA 1275/ec [Endogenous Compound]; microrna 4429/ec [Endogenous Compound]; microRNA 4489/ec [Endogenous Compound]; microRNA 5010 5p/ec [Endogenous Compound]; microRNA 6721 5p/ec [Endogenous Compound]; microRNA 6804-5p/ec [Endogenous Compound]; microRNA 6881 3p/ec [Endogenous Compound]; microRNA 7110 5p/ec [Endogenous Compound]; HiSeq 400; HiSeq X Ten
Full text:
Available
Collection:
Databases of international organizations
Database:
EMBASE
Language:
English
Journal:
Human Gene
Year:
2023
Document Type:
Article
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