Ontology highlight
ABSTRACT: Introduction
Persistent symptoms after COVID-19 infection ("long COVID") negatively affects almost half of COVID-19 survivors. Despite its prevalence, its pathophysiology is poorly understood, with multiple host systems likely affected. Here, we followed patients from hospital to discharge and used a systems-biology approach to identify mechanisms of long COVID.Methods
RNA-seq was performed on whole blood collected early in hospital and 4-12 weeks after discharge from 24 adult COVID-19 patients (10 reported post-COVID symptoms after discharge). Differential gene expression analysis, pathway enrichment, and machine learning methods were used to identify underlying mechanisms for post-COVID symptom development.Results
Compared to patients with post-COVID symptoms, pat
SUBMITTER: An AY
PROVIDER: S-EPMC10482103 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature