Many unknowns exist about human immune responses to the SARS-CoV-2 virus. SARS-CoV-2 reactive CD4+ T cells have been reported in unexposed individuals, suggesting pre-existing cross-reactive T cell memory in 20-50% of people. However, the source of those T cells has been speculative. Using human blood samples derived before the SARS-CoV-2 virus was discovered in 2019, we mapped 142 T cell epitopes across the SARS-CoV-2 genome to facilitate precise interrogation of the SARS-CoV-2-specific CD4+ T cell repertoire. We demonstrate a range of pre-existing memory CD4+ T cells that are cross-reactive with comparable affinity to SARS-CoV-2 and the common cold coronaviruses HCoV-OC43, HCoV-229E, HCoV-NL63, or HCoV-HKU1. Thus, variegated T cell memory to coronaviruses that cause the common cold may underlie at least some of the extensive heterogeneity observed in COVID-19 disease.
We address whether T cell responses induced by different vaccine platforms (mRNA-1273, BNT162b2, Ad26.COV2.S, NVX-CoV2373) cross-recognize early SARS-CoV-2 variants. T cell responses to early variants were preserved across vaccine platforms. By contrast, significant overall decreases were observed for memory B cells and neutralizing antibodies. In subjects ∼6 months post-vaccination, 90% (CD4
+
) and 87% (CD8
+
) of memory T cell responses were preserved against variants on average by AIM assay, and 84% (CD4
+
) and 85% (CD8
+
) preserved against Omicron. Omicron RBD memory B cell recognition was substantially reduced to 42% compared to other variants. T cell epitope repertoire analysis revealed a median of 11 and 10 spike epitopes recognized by CD4
+
and CD8
+
T cells, with average preservation > 80% for Omicron. Functional preservation of the majority of T cell responses may play an important role as second-level defenses against diverse variants.
Highlights d T cell responses recognize at least 30-40 epitopes in each donor d Immunodominance is correlated with HLA binding d Immunodominant regions for CD4 + T cells have minimal overlap with antibody epitopes d CD8 + T cell responses depend on the repertoire of HLA class I alleles
Highlights d T cells of exposed donors or vaccinees effectively recognize SARS-CoV-2 variants d Effective recognition in AIM and FluoroSPOT assays, for spike and other proteins d 93% and 97% of CD4 and CD8 epitopes are 100% conserved across variants
Detection of antigen-specific CD4+ T cells is central to the study of many human infectious diseases, vaccines, and autoimmune diseases. However, such cells are generally rare and heterogeneous in their cytokine profiles. Identification of antigen-specific germinal center (GC) T follicular helper (Tfh) cells by cytokine production has been particularly problematic. The function of a GC Tfh cell is to selectively help adjacent GC B cells via cognate interaction; thus, GC Tfh cells may be ‘stingy’ cytokine producers, fundamentally different than Th1 or Th17 cells in the quantities of cytokines produced. Conventional identification of antigen-specific cells by intracellular cytokine staining (ICS) relies on the ability of the CD4+ T cell to generate substantial amounts of cytokine. To address this problem, we have developed a cytokine-independent activation induced marker (AIM) methodology to identify antigen-specific GC Tfh cells in human lymphoid tissue. Whereas Group A Streptococcus (Strep)-specific GC Tfh cells produced minimal detectable cytokines by ICS, the AIM method identified 85-fold more antigen-specific GC Tfh cells. Intriguingly, these GC Tfh cells consistently expressed programmed death ligand 1 (PD-L1) upon activation. AIM also detected non-Tfh cells in lymphoid tissue. As such, we applied AIM for identification of rare antigen-specific CD4+ T cells in human peripheral blood. Dengue-, tuberculosis-, and pertussis-vaccine-specific CD4+ T cells were readily detectable by AIM. In sum, cytokine assays missed 98% of antigen-specific human GC Tfh cells, reflecting the biology of these cells, which could instead be sensitively identified by co-expression of TCR-dependent activation markers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.