In this study of 458 patients post-COVID-19, nearly half developed postacute sequelae (PASC). While humoral and inflammatory markers were tied to COVID-19 severity, not PASC itself, individuals with PASC showed distinct T cell alterations, especially terminally differentiated, SARS-CoV-2-specific CD4+ T cells. A machine learning model identified T cell phenotypes as key PASC predictors.
ABSTRACT
Post-acute sequelae of COVID-19 (PASC) are a complex clinical condition that requires a better understanding of its underlying biological mechanisms. In this study, we assessed hundreds of virological, serological, immunological, and tissue damage biomarkers in two cohorts of patients who had experienced either mild (n = 270) or severe (n = 188) COVID-19, 6 to 9 months post-initial infection, and in which 40% and 57.4% of patients, respectively, developed PASC. Blood analysis showed that the main differences observed in humoral, viral, and biological biomarkers were associated with the initial COVID-19 severity, rather than being specifically linked to PASC. However, patients with PASC displayed altered CD4+ and CD8+ memory T cell subsets, with higher cytokine-secreting cells and increased terminally differentiated CD45RA+ effector memory T cells (TEMRA). Elevated SARS-CoV-2-specific T cells responsive to nucleocapsid/membrane proteins with a TEMRA phenotype were also observed. A random forest model identified these features and initial symptom duration as top variables discriminating PASC, achieving over 80% classification accuracy.