ABSTRACT
Children infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) develop less severe coronavirus disease 2019 (COVID-19) than adults. The mechanisms for the age-specific differences and the implications for infection-induced immunity are beginning to be uncovered. We show by longitudinal multimodal analysis that SARS-CoV-2 leaves a small footprint in the circulating T cell compartment in children with mild/asymptomatic COVID-19 compared to adult household contacts with the same disease severity who had more evidence of systemic T cell interferon activation, cytotoxicity and exhaustion. Children harbored diverse polyclonal SARS-CoV-2-specific naïve T cells whereas adults harbored clonally expanded SARS-CoV-2-specific memory T cells. A novel population of naïve interferon-activated T cells is expanded in acute COVID-19 and is recruited into the memory compartment during convalescence in adults but not children. This was associated with the development of robust CD4+ memory T cell responses in adults but not children. These data suggest that rapid clearance of SARS-CoV-2 in children may compromise their cellular immunity and ability to resist reinfection.
Subject(s)
COVID-19 , Humans , Adult , SARS-CoV-2 , CD4-Positive T-Lymphocytes , Immunity, Cellular , Lymphocyte Activation , Antibodies, ViralABSTRACT
OBJECTIVES: A recent single-cell RNA sequencing study by Wilk et al. suggested that plasmablasts can transdifferentiate into 'developing neutrophils' in patients with severe COVID-19 disease. We explore the evidence for this. METHODS: We downloaded the original data and code used by the authors in their study to replicate their findings and explore the possibility that regressing out variables may have led the authors to overfit their data. RESULTS: The lineage relationship between plasmablasts and developing neutrophils breaks down when key features are not regressed out, and the data are not overfitted during the analysis. CONCLUSION: Plasmablasts do not transdifferentiate into developing neutrophils. The single-cell RNA sequencing is a powerful technique for biological discovery and hypothesis generation. However, caution should be exercised in the bioinformatic analysis and interpretation of the data and findings cross-validated by orthogonal techniques.