GSE162562
Immune transcriptomes of highly exposed SARS-CoV-2 asymptomatic seropositive versus seronegative individuals from the Ischgl community
SARS-CoV-2 infection ranges from asymptomatic to severe with lingering symptomatology in some. This prompted investigation of whether or not asymptomatic disease results in measurable immune activation post-infection. Immune activation following asymptomatic SARS-CoV-2 infection was characterized through a comparative investigation of the immune cell transcriptomes from 43 asymptomatic seropositive and 52 highly exposed seronegative individuals from the same community four to six weeks following a superspreading event. Few of the 95 individuals had underlying health issues. One seropositive individual reported Cystic Fibrosis and one individual reported Incontinentia pigmenti. No evidence of immune activation was found in asymptomatic seropositive individuals with the exception of the Cystic Fibrosis patient. There were no statistically significant differences in immune transcriptomes between asymptomatic seropositive and highly exposed seronegative individuals. Four positive controls, mildly symptomatic seropositive individuals whose blood was examined three weeks following infection, showed immune activation. Negative controls were four seronegative individuals from neighboring communities without COVID19. All individuals remained in their usual state of health through a five-month follow-up after sample collection. In summary, whole blood transcriptomes identified individual immune profiles within a community population and showed that asymptomatic infection within a super-spreading event was not associated with enduring immunological activation. Overall design: RNA-seq were performed with peripheral blood mononuclear cells (PBMCs) of 43 asymptomatic COVID-19 patients (A_sample#), 52 highliy exposed seronegative subjects (B_sample#), 5 healthy controls (C_sample#), 4 non-Ischgl COVID-19 patients with mild symtoms (D_sample#) and 4 highly exposed seronegative non-Ischgl subjects (E_sample#).