Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19.
Ontology highlight
ABSTRACT: Rationale: Children usually develop less severe symptoms responding to Coronavirus Disease 2019 (COVID-19) than adults. However, little is known about the molecular alterations and pathogenesis of COVID-19 in children. Methods: We conducted plasma proteomic and metabolomic profilings of the blood samples of a cohort containing 18 COVID-19-children with mild symptoms and 12 healthy children, which were enrolled from hospital admissions and outpatients, respectively. Statistical analyses were performed to identify molecules specifically altered in COVID-19-children. We also developed a machine learning-based pipeline named inference of biomolecular combinations with minimal bias (iBM) to prioritize proteins and metabolites strongly altered in COVID-19-children, and experimental
SUBMITTER: Wang C
PROVIDER: S-EPMC8315065 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
ACCESS DATA