Levels of soluble complement regulators predict severity of COVID-19 symptoms
Article
[키워드] analysed
Analysis
approach
Asymptomatic
baseline level
Biomarkers
cascade
circulating
Cohort
complement
Control
Course
COVID-19
COVID-19 patients
Diagnosis
disease
disease severity
driving
dysregulation
Elevation
Evidence
Factor
Factor H
factor H-related proteins
FIVE
Healthcare systems
hospitalisation
Hypothesis
immune activation
individual
lack
Level
majority
management
mass spectrometry.
Mild
morbidity and mortality
outcome
outcomes
Patient
plasma sample
predict
Protein
Proteins
quantified
responsible
SARS-CoV-2
SARS-CoV-2 patient
SARS-CoV-2 virus
severe COVID-19
severe disease
severity of COVID-19
splice
subset
Support
Symptom
variant
while
with COVID-19
[DOI] 10.3389/fimmu.2022.1032331 PMC 바로가기
[DOI] 10.3389/fimmu.2022.1032331 PMC 바로가기