Unknown

Dataset Information

A patient-centric modeling framework captures recovery from SARS-CoV-2 infection.


ABSTRACT: The biology driving individual patient responses to severe acute respiratory syndrome coronavirus 2 infection remains ill understood. Here, we developed a patient-centric framework leveraging detailed longitudinal phenotyping data and covering a year after disease onset, from 215 infected individuals with differing disease severities. Our analyses revealed distinct 'systemic recovery' profiles, with specific progression and resolution of the inflammatory, immune cell, metabolic and clinical responses. In particular, we found a strong inter-patient and intra-patient temporal covariation of innate immune cell numbers, kynurenine metabolites and lipid metabolites, which highlighted candidate immunologic and metabolic pathways influencing the restoration of homeostasis, the risk of death and t

SUBMITTER: Ruffieux H 

PROVIDER: S-EPMC9892000 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature