Bioinformatics analysis of potential pathogenesis and risk genes of immunoinflammation-promoted renal injury in severe COVID-19
Article
[키워드] activated
addition
Algorithm
ALOX5
Analysis
bioinformatics
caused
CD38
Cell
characterized
clinical utility
correlated
COVID-19
COVID-19 patient
COVID-19 patients
cytokine
cytokine receptor
dataset
dendritic cells
enrichment analysis
expression
expression pattern
gene co-expression network
Genes
glomerular filtration rate
HCK
identify
immune
Immune cell
Immune cell infiltration
Including
independent data set
indicated
Inflammation
Inflammatory
Injury
Interaction
involved
ischemia-reperfusion injury
ITGAX
KEGG
LYN
macrophages
MAPK3
Mild
Miner
moderate
NCF4
necroptosis
network analysis
Neutrophils
nomogram
Pathogenesis
pathway
Pathways
performed
Peripheral blood
poor prognosis
PPI
progression
promoted
protein-protein interaction
random
renal
renal injury
risk
screened
SELP
Sequencing analysis
severe COVID-19
SPI1
STEM
TLR2
TLR4
toll-like receptor signaling
transcriptomic
Viral protein
WGCNA
[DOI] 10.3389/fimmu.2022.950076 PMC 바로가기
[DOI] 10.3389/fimmu.2022.950076 PMC 바로가기