Structural Framework for Analysis of CD4+ T-Cell Epitope Dominance in Viral Fusion Proteins

Abstract

Antigen conformation shapes CD4+ T-cell specificity through mechanisms of antigen processing, and the consequences for immunity may rival those from conformational effects on antibody specificity. CD4+ T cells initiate and control immunity to pathogens and cancer and are at least partly responsible for immunopathology associated with infection, autoimmunity, and allergy. The primary trigger for CD4+ T-cell maturation is the presentation of an epitope peptide in the MHC class II antigen-presenting protein (MHCII), most commonly on an activated dendritic cell, and then the T-cell responses are recalled by subsequent presentations of the epitope peptide by the same or other antigen-presenting cells. Peptide presentation depends on the proteolytic fragmentation of the antigen in an endosomal/lysosomal compartment and concomitant loading of the fragments into the MHCII, a multistep mechanism called antigen processing and presentation. Although the role of peptide affinity for MHCII has been well studied, the role of proteolytic fragmentation has received less attention. In this Perspective, we will briefly summarize evidence that antigen resistance to unfolding and proteolytic fragmentation shapes the specificity of the CD4+ T-cell response to selected viral envelope proteins, identify several remarkable examples in which the immunodominant CD4+ epitopes most likely depend on the interaction of processing machinery with antigen conformation, and outline how knowledge of antigen conformation can inform future efforts to design vaccines.

Effective assessment of CD4+T cell Immunodominance patterns: impact of antigen processing and HLA restriction

“…assessment of T cell responses from relevant samples). Previous studies into the impact of antigen-specific constraints on immunodominance pointed out structural features of regions that are preferentially selected for display, showing a relation to folding and solvent accessible surface area (SASA) 42,43 . Our work capitalizes on the extensive data resulting from the impact of SARS-CoV-2 pandemics.…”