Abstract
A better understanding of the metabolic alterations in immune cells during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may elucidate the wide diversity of clinical symptoms experienced by individuals with coronavirus disease 2019 (COVID-19). Here, we report the metabolic changes associated with the peripheral immune response of 198 individuals with COVID-19 through an integrated analysis of plasma metabolite and protein levels as well as single-cell multiomics analyses from serial blood draws collected during the first week after clinical diagnosis. We document the emergence of rare but metabolically dominant T cell subpopulations and find that increasing disease severity correlates with a bifurcation of monocytes into two metabolically distinct subsets. This integrated analysis reveals a robust interplay between plasma metabolites and cell-type-specific metabolic reprogramming networks that is associated with disease severity and could predict survival.
【초록키워드】 COVID-19, coronavirus disease, SARS-CoV-2, coronavirus, disease severity, Infection, peripheral immune response, monocyte, T cell, survival, plasma, Clinical diagnosis, change, predict, single-cell, metabolite, Analysis, Immune cell, acute respiratory syndrome, clinical symptom, alteration, individual, protein level, subpopulation, blood draw, dominant, robust, collected, reveal, individuals with COVID-19, 【제목키워드】 plasma, Analysis, Immune cell, changes in, individuals with COVID-19,