Identification of toll-like receptor 5 and acyl-CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID-19 by Weighted gene co-expression network analysis.
Luoyi WangZhaomin MaoFengmin ShaoPublished in: IET systems biology (2023)
Since a 25% mortality rate occurred in critical Coronavirus disease 2019 (COVID-19) patients, investigating the potential drivers remains to be important. Here, the authors applied Weighted Gene Co-expression Network Analysis to identify the potential drivers in the blood samples of multiple COVID-19 expression profiles. The authors found that the darkslateblue module was significantly correlated with critical COVID-19, and Gene Ontology analysis indicated terms associated with the inflammation pathway and apoptotic process. The authors intersected differentially expressed genes, Maximal Clique Centrality calculated hub genes, and COVID-19 related genes in the Genecards dataset, and two genes, toll-like receptor 5 (TLR5) and acyl-CoA synthetase long chain family member 1 (ACSL1), were screened out. The Gene Set Enrichment Analysis further supports their core role in the inflammatory pathway. Furthermore, the cell-type identification by estimating relative subsets of RNA transcript demonstrated that TLR5 and ACSL1 were associated with neutrophil enrichment in critical COVID-19 patients. Collectively, the aurthors identified two hub genes that were strongly correlated with critical COVID-19. These may help clarify the pathogenesis and assist the immunotherapy development.
Keyphrases
- network analysis
- toll like receptor
- coronavirus disease
- genome wide identification
- bioinformatics analysis
- genome wide
- sars cov
- nuclear factor
- inflammatory response
- genome wide analysis
- immune response
- transcription factor
- copy number
- dna methylation
- respiratory syndrome coronavirus
- poor prognosis
- oxidative stress
- magnetic resonance
- fatty acid
- gene expression
- magnetic resonance imaging
- type diabetes
- cell death
- contrast enhanced
- climate change
- cardiovascular events
- anti inflammatory
- high intensity