Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities
심혈관 및 고혈압 동반 질환에 대한 COVID-19의 영향을 식별하기 위한 생물정보학 및 시스템 생물학 접근
Article
[키워드] ACE inhibitor
ACE inhibitors
ACE2
ACE2 gene
acute respiratory syndrome
acute respiratory syndrome coronavirus
Affect
aldosterone
angiotensin
angiotensin converting enzyme
angiotensin I
Angiotensin II
approach
bioinformatics
blood pressure
blood sample
Blood samples
Cancer
cardiovascular
cardiovascular comorbidities
cardiovascular comorbidity
cardiovascular disease
cardiovascular diseases
caused
Cell
cell signalling pathway and ontology
cell stress
cells
chemical compound
chemokines
chronic heart failure
Comorbidity
condition
convert
coronavirus
coronavirus disease
Coronavirus disease 2019
COVID-19
Cytokines
DEGs
diabetes
differentially expressed
differentially expressed gene
Differentially expressed genes
disease
Diseases
drug
elevated
enzyme
expressed
expression
functions
gene regulatory network
Genetic
heart
heart failure
help
human tissues
hypertension
hypertensive
hypertensive diseases
identify
immune response gene
immune response genes
infect
infected individual
infected individuals
Infection
influence
Interaction
interactions
intestine
kidneys
Lung injury
Lungs
mechanism
medication
medications
Messenger RNA
Mortality
ontologies
Ontology
pandemic
Pathogenesis
pathway
Pathways
Patient
Peripheral blood
peripheral blood cell
peripheral blood cells
receptor
reduce
Renin
renin-angiotensin-aldosterone system
Research
risk
SARS-CoV-2
severe acute respiratory syndrome Coronavirus
severe acute respiratory syndrome coronavirus 2
suggested
susceptible
System biology
T cell
target
Testis
Toll-like receptor
Treatment
type 2 diabete
type 2 diabetes
[DOI] 10.1093/bib/bbaa426 PMC 바로가기 [Article Type] Article
[DOI] 10.1093/bib/bbaa426 PMC 바로가기 [Article Type] Article