Human immunoglobulin gene allelic variation impacts germline-targeting vaccine priming.

Vaccine priming immunogens that activate germline precursors for broadly neutralizing antibodies (bnAbs) have promise for development of precision vaccines against major human pathogens. In a clinical trial of the eOD-GT8 60mer germline-targeting immunogen, higher frequencies of vaccine-induced VRC01-class bnAb-precursor B cells were observed in the high dose compared to the low dose group. Through immunoglobulin heavy chain variable (IGHV) genotyping, statistical modeling, quantification of IGHV1-2 allele usage and B cell frequencies in the naive repertoire for each trial participant, and antibody affinity analyses, we found that the difference between dose groups in VRC01-class response frequency was best explained by IGHV1-2 genotype rather than dose and was most likely due to differences in IGHV1-2 B cell frequencies for different genotypes. The results demonstrate the need to define population-level immunoglobulin allelic variations when designing germline-targeting immunogens and evaluating them in clinical trials.

Human immunoglobulin gene allelic variation impacts germline-targeting vaccine priming.

Vaccine priming immunogens that activate germline precursors for broadly neutralizing antibodies (bnAbs) have promise for development of precision vaccines against major human pathogens. In a clinical trial of the eOD-GT8 60mer germline-targeting immunogen, higher frequencies of vaccine-induced VRC01-class bnAb-precursor B cells were observed in the high dose compared to the low dose group. Through immunoglobulin heavy chain variable (IGHV) genotyping, statistical modeling, quantification of IGHV1-2 allele usage and B cell frequencies in the naive repertoire for each trial participant, and antibody affinity analyses, we found that the difference between dose groups in VRC01-class response frequency was best explained by IGHV1-2 genotype rather than dose and was most likely due to differences in IGHV1-2 B cell frequencies for different genotypes. The results demonstrate the need to define population-level immunoglobulin allelic variations when designing germline-targeting immunogens and evaluating them in clinical trials. One-Sentence Summary: Human genetic variation can modulate the strength of vaccine-induced broadly neutralizing antibody precursor B cell responses.

Preexisting memory CD4+ T cells contribute to the primary response in an HIV-1 vaccine trial.

Naive and memory CD4+ T cells reactive with human immunodeficiency virus type 1 (HIV-1) are detectable in unexposed, unimmunized individuals. The contribution of preexisting CD4+ T cells to a primary immune response was investigated in 20 HIV-1-seronegative volunteers vaccinated with an HIV-1 envelope (Env) plasmid DNA prime and recombinant modified vaccinia virus Ankara (MVA) boost in the HVTN 106 vaccine trial (clinicaltrials.gov NCT02296541). Prevaccination naive or memory CD4+ T cell responses directed against peptide epitopes in Env were identified in 14 individuals. After priming with DNA, 40% (8/20) of the elicited responses matched epitopes detected in the corresponding preimmunization memory repertoires, and clonotypes were shared before and after vaccination in 2 representative volunteers. In contrast, there were no shared epitope specificities between the preimmunization memory compartment and responses detected after boosting with recombinant MVA expressing a heterologous Env. Preexisting memory CD4+ T cells therefore shape the early immune response to vaccination with a previously unencountered HIV-1 antigen.

Integrated analysis of multimodal single-cell data.

The simultaneous measurement of multiple modalities represents an exciting frontier for single-cell genomics and necessitates computational methods that can define cellular states based on multimodal data. Here, we introduce "weighted-nearest neighbor" analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. We apply our procedure to a CITE-seq dataset of 211,000 human peripheral blood mononuclear cells (PBMCs) with panels extending to 228 antibodies to construct a multimodal reference atlas of the circulating immune system. Multimodal analysis substantially improves our ability to resolve cell states, allowing us to identify and validate previously unreported lymphoid subpopulations. Moreover, we demonstrate how to leverage this reference to rapidly map new datasets and to interpret immune responses to vaccination and coronavirus disease 2019 (COVID-19). Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets and to look beyond the transcriptome toward a unified and multimodal definition of cellular identity.

Neutralization Takes Precedence Over IgG or IgA Isotype-related Functions in Mucosal HIV-1 Antibody-mediated Protection.

HIV-1 infection occurs primarily through mucosal transmission. Application of biologically relevant mucosal models can advance understanding of the functional properties of antibodies that mediate HIV protection, thereby guiding antibody-based vaccine development. Here, we employed a human ex vivo vaginal HIV-1 infection model and a rhesus macaque in vivo intrarectal SHIV challenge model to probe the protective capacity of monoclonal broadly-neutralizing (bnAb) and non-neutralizing Abs (nnAbs) that were functionally modified by isotype switching. For human vaginal explants, we developed a replication-competent, secreted NanoLuc reporter virus system and showed that CD4 binding site bnAbs b12 IgG1 and CH31 IgG1 and IgA2 isoforms potently blocked HIV-1JR-CSF and HIV-1Bal26 infection. However, IgG1 and IgA nnAbs, either alone or together, did not inhibit infection despite the presence of FcR-expressing effector cells in the tissue. In macaques, the CH31 IgG1 and IgA2 isoforms infused before high-dose SHIV challenge were completely to partially protective, respectively, while nnAbs (CH54 IgG1 and CH38 mIgA2) were non-protective. Importantly, in both mucosal models IgG1 isotype bnAbs were more protective than the IgA2 isotypes, attributable in part to greater neutralization activity of the IgG1 variants. These findings underscore the importance of potent bnAb induction as a primary goal of HIV-1 vaccine development.

Polyinosinic-polycytidylic acid is the most effective TLR adjuvant for SIV Gag protein-induced T cell responses in nonhuman primates.

Prime-boost immunization with heterologous vaccines elicits potent cellular immunity. In this study, we assessed the influence of various TLR ligands on SIV Gag-specific T cell immunity and protection following prime-boost immunization. Rhesus macaques (RMs) were primed with SIV Gag protein emulsified in Montanide ISA51 with or without TLR3 (polyinosinic-polycytidylic acid [poly-IC]), TLR4 (monophosphoryl lipid A), TLR7/8 (3M-012), TLR9 (CpG), or TLR3 (poly-IC) combined with TLR7/8 ligands, then boosted with replication defective adenovirus 5 expressing SIV Gag (rAd5-Gag). After priming, RMs that received SIV Gag protein plus poly-IC developed significantly higher frequencies of SIV Gag-specific CD4(+) Th1 responses in blood and bronchoalveolar lavage (BAL) fluid lymphocytes compared with all other adjuvants, and low-level SIV Gag-specific CD8(+) T cell responses. After the rAd5-Gag boost, the magnitude and breadth of SIV Gag-specific CD8(+) T cell responses were significantly increased in RM primed with SIV Gag protein plus poly-IC, with or without the TLR7/8 ligand, or CpG. However, the anamnestic, SIV Gag-specific CD8(+) T cell response to SIVmac251 challenge was not significantly enhanced by SIV Gag protein priming with any of the adjuvants. In contrast, the anamnestic SIV Gag-specific CD4(+) T cell response in BAL was enhanced by SIV Gag protein priming with poly-IC or CpG, which correlated with partial control of early viral replication after SIVmac251 challenge. These results demonstrate that prime-boost vaccination with SIV Gag protein/poly-IC improves magnitude, breadth, and durability of CD4(+) T cell immune responses, which could have a role in the control of SIV viral replication.

Towards prediction of degenerate CTL epitope recognition.

The cellular immune system is characterized by flexibility with respect to epitope recognition at the level of peptide binding to HLA molecules and HLA-peptide complexes to T-cell receptors (TCRs). For epitopes recognized by cytotoxic T-lymphocytes (CTLs), amino acid substitutions at different positions have varying impact on recognition. By analyzing the frequencies of specific amino acid substitutions at each position in conjunction with HLA-peptide binding and immune-response data, we have developed new methods to predict cross-reactive recognition of epitope variants by CTLs. We derived position-specific substitution matrices (EPSSMs) through the analysis of known HLA ligands and achieved relatively accurate prediction of detrimental and tolerated amino acid substitutions. Initial analysis of amino acid substitutions in CTL epitopes with degenerate recognition showed strong position-specific preferences. This first systematic analysis further suggested that spatial constraint may be the major molecular factor determining the degenerate epitope recognition. As the data cumulates, we anticipate that eventually EPSSMs will be available for prediction of degenerate T-cell epitope recognition.

HIV-1 CTL-based vaccine immunogen selection: antigen diversity and cellular response features.

Much of the current effort in HIV-1 vaccine design is directed at achieving T-cell immunity that will result in enough immunological memory to contain HIV-1 infection after acquisition. However, antigenic diversity, plus a lack of understanding of HIV-1 vaccine immunology, have hindered the development of a globally effective cytotoxic T-lymphocyte (CTL)-based vaccine. Cellular response, in using a finite immune system to recognize an infinite number of potential pathogens, exhibits a series of parsimonious features. These features are considered critical in modulating HIV-1 vaccine multiple specificities. We took the features into consideration when the potential epitope coverage (E(c)) to circulating strains by current vaccine strategies was analyzed. Based on these analyses, several approaches are proposed to enhance the breadth of vaccine responses and, hence, the potential protective efficacy.

Peptide selection for human immunodeficiency virus type 1 CTL-based vaccine evaluation.

Dozens of human immunodeficiency virus-type 1 (HIV-1) vaccine candidates specifically designed to elicit cytotoxic T-lymphocyte (CTL) responses have entered the pipeline of clinical trials. Evaluating the immunogenicity and potential efficacy of these HIV-1 vaccine candidates is challenging in the face of the extensive viral genetic diversity of circulating strains. Standardized peptide reagents to define the magnitude and potential breadth of the T-cell response, especially to circulating strains of HIV-1, are needed. For this purpose we developed a biometric approach based on T-cell recognition pattern for defining standardized reagents. Circulating strains in the Los Alamos database were evaluated and standardized algorithms to define all potential T-cell epitopes (PTEs) were generated. While many unique PTEs could be identified, a finite number based upon prevalence of circulating strains in the database, which we define as vaccine-important PTEs (VIPs), were used to select a common standardized panel of HIV-1 peptides for CTL-based vaccine evaluation. The usability of PTE peptide set was manifested by detection of Nef-specific CTL responses in HIV-1 subtype B infections.