Vaccines: How do adjuvants enhance immune responses?
The process by which a vaccine enhances immunity against a disease involves a wide range of cell types. It starts with cells called antigen presenting cells (APCs) internalizing and processing antigens from the vaccine. These APCs then present the antigens on MHC II molecules at the cell surface, a process that can activate cells called T cells. T cell activation is a prerequisite for other immune cells called B cells to produce the antibodies that are crucial to the immune response.
Adjuvants are substances added to vaccines that enhance the immune response to antigens and ultimately, improve immunity. It is known that some, such as MPLA and CpG, directly activate proteins found on APCs called pattern recognition receptors (Reed et al., 2013; Didierlaurent et al., 2014). Yet how adjuvants influence the magnitude and quality of adaptive immune responses through APCs remains unclear. It was recently shown that adding an adjuvant to a vaccine may influence the specific region of a vaccine antigen that an antibody recognizes (Maeda et al., 2017; Chung et al., 2015). This suggests that CD4+ T cells, required for fine-tuning B cell antibody responses, are also impacted by adjuvants.
Now, in eLife, Bin Li, Peng Wang, Chao Wu of The Eighth Affiliated Hospital of Sun Yat-sen University and colleagues – including Jin Zhang as joint first author with Li – report the results of experiments which shed light on how adjuvants work (Li et al., 2024). The experiments involved administering a vaccine containing a protein antigen from the bacteria H. pylori to mice: in some cases, the vaccine also contained MPLA or CpG as an adjuvant, and in other cases it did not. Interestingly, the various adjuvanted or unadjuvanted vaccination conditions differently impacted which protein sites were most reactive with T cells. When APCs were exposed to H. pylori proteins in the presence of these adjuvants, peptide antigens with low affinity for MHC II were more likely to be presented, and the number of different presented peptide sequences was low. In contrast, when the vaccine did not contain adjuvants, peptide antigens with high affinity for MHC II were more likely to be presented, and the number of different presented sequences was higher (Figure 1).
When a peptide with low affinity for MHC II was used to vaccinate mice, it was found that significantly less peptide was needed to activate CD4+ T cells compared to responses elicited by vaccination with high-affinity peptides. Taken together, these findings support previous observations that T cell responses to a protein are often focused on a narrow array of peptide antigens (Sant et al., 2005; Baumgartner and Malherbe, 2010), but they also show that different adjuvants have different effects on how T cells respond to peptide antigens. It is an important distinction that adjuvants, beyond increasing the magnitude of a given immune response, may also fine-tune the portion of the antigen targeted by T cells.
How peptide antigens with low affinity for MHC II and a narrow antigen repertoire might impact the CD4+ T cell response remains an open question. Some data suggest that the threshold for activating T cells is influenced by adjuvants that can activate pattern recognition receptors, and that the complexes formed by low-affinity peptides and MHC II molecules provide stronger signals to T cell receptors, promoting their activation (Malherbe et al., 2008; Baumgartner et al., 2010).
Alternatively, it has also been shown that a narrow peptide repertoire can enhance T cell responses (Santambrogio, 2022). Could it be that restricting the number of antigens that APCs present (by increasing selection of low-affinity peptides) narrows the peptide repertoire and therefore focuses the T cell response? Li et al. were able to demonstrate that this phenomenon of peptide selection was not due to differences in which antigens were initially taken up by APCs, suggesting that these adjuvants influence antigen processing. Exactly which steps of antigen processing are affected remains to be explored. Might these steps be impacted by pattern recognition receptor signaling? Additionally, it remains to be explored whether these mechanisms are at play in the human immune system, which has more complex MHC II structures than those found in mice.
The findings of Li et al. bring us closer to understanding how adjuvants that activate pattern recognition receptors actually work. By influencing antigen processing and focusing peptide presentation by APCs, adjuvants change the nature of the CD4+ T cell response to a vaccine. This underscores how finely and specifically these adjuvants might influence a vaccine response. Modeling how a given adjuvant fine-tunes the MHC II peptide repertoire may be an important early step in vaccine development. Tackling the development of more challenging vaccines – or optimizing the use of vaccines in populations across the age spectrum – may ultimately rest on our ability to understand and take advantage of the precise mechanisms of these types of adjuvants.
References
-
Peptide-MHC class II complex stability governs CD4 T cell clonal selectionJournal of Immunology 184:573–581.https://doi.org/10.4049/jimmunol.0902107
-
Key roles of adjuvants in modern vaccinesNature Medicine 19:1597–1608.https://doi.org/10.1038/nm.3409
-
Molecular determinants regulating the plasticity of the MHC Class II immunopeptidomeFrontiers in Immunology 13:878271.https://doi.org/10.3389/fimmu.2022.878271
Article and author information
Author details
Publication history
Copyright
© 2024, Rapaka
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 530
- views
-
- 76
- downloads
-
- 0
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Immunology and Inflammation
Chronic antigenic stimulation can trigger the formation of interleukin 10 (IL-10)-producing T-regulatory type 1 (TR1) cells in vivo. We have recently shown that murine T-follicular helper (TFH) cells are precursors of TR1 cells and that the TFH-to-TR1 cell transdifferentiation process is characterized by the progressive loss and acquisition of opposing transcription factor gene expression programs that evolve through at least one transitional cell stage. Here, we use a broad range of bulk and single-cell transcriptional and epigenetic tools to investigate the epigenetic underpinnings of this process. At the single-cell level, the TFH-to-TR1 cell transition is accompanied by both, downregulation of TFH cell-specific gene expression due to loss of chromatin accessibility, and upregulation of TR1 cell-specific genes linked to chromatin regions that remain accessible throughout the transdifferentiation process, with minimal generation of new open chromatin regions. By interrogating the epigenetic status of accessible TR1 genes on purified TFH and conventional T-cells, we find that most of these genes, including Il10, are already poised for expression at the TFH cell stage. Whereas these genes are closed and hypermethylated in Tconv cells, they are accessible, hypomethylated, and enriched for H3K27ac-marked and hypomethylated active enhancers in TFH cells. These enhancers are enriched for binding sites for the TFH and TR1-associated transcription factors TOX-2, IRF4, and c-MAF. Together, these data suggest that the TR1 gene expression program is genetically imprinted at the TFH cell stage.
-
- Genetics and Genomics
- Immunology and Inflammation
Systemic lupus erythematosus (SLE) is an autoimmune disease, the pathophysiology and genetic basis of which are incompletely understood. Using a forward genetic screen in multiplex families with SLE, we identified an association between SLE and compound heterozygous deleterious variants in the non-receptor tyrosine kinases (NRTKs) ACK1 and BRK. Experimental blockade of ACK1 or BRK increased circulating autoantibodies in vivo in mice and exacerbated glomerular IgG deposits in an SLE mouse model. Mechanistically, NRTKs regulate activation, migration, and proliferation of immune cells. We found that the patients’ ACK1 and BRK variants impair efferocytosis, the MERTK-mediated anti-inflammatory response to apoptotic cells, in human induced pluripotent stem cell (hiPSC)-derived macrophages, which may contribute to SLE pathogenesis. Overall, our data suggest that ACK1 and BRK deficiencies are associated with human SLE and impair efferocytosis in macrophages.