Abstract
Toll-like receptor 9 (TLR9) agonists have gained traction in recent years as potential adjuvants for the induction of adaptive immune responses. It has nonetheless remained unclear to what extent such ligands can facilitate the priming events that generate antigen-specific effector and/or memory CD8+ T-cell populations. We used an established in vitro model to prime naive precursors from human peripheral blood mononuclear cells in the presence of various adjuvants, including CpG ODN 2006, a synthetic oligonucleotide TLR9 ligand (TLR9L). Unexpectedly, we found that TLR9L induced a suboptimal inflammatory milieu and promoted the antigen-driven expansion and functional maturation of naive CD8+ T cells ineffectively compared with either ssRNA40 or 2′3′-cGAMP, which activate other pattern recognition receptors (PRRs). TLR9L also inhibited the priming efficacy of 2′3′-cGAMP. Collectively, these results suggest that TLR9L is unlikely to be a good candidate for the optimal induction of de novo CD8+ T-cell responses, in contrast to adjuvants that operate via discrete PRRs.
Subject terms: Adaptive immunity, Lymphocyte activation, Vaccines
Introduction
The development of effective cancer immunotherapies and vaccines will likely require interventions that generate potent CD8+ T-cell responses against tumor-associated antigens and/or neoantigens1,2. Adjuvants are critically important for such purposes, and in this context, recent efforts have focused on agonists that target Toll-like receptors (TLRs). Particularly robust adaptive immune responses have been observed in preclinical evaluations of costimulation via TLR9, which is typically activated by unmethylated CpG sequences present in microbial DNA3,4. Similarly, melanoma patients were found to harbor increased frequencies of human leukocyte antigen (HLA)-A*02:01-restricted Melan-A-specific CD8+ T cells after vaccination with the corresponding peptide adjuvanted by CpG ODN 2006, a synthetic oligonucleotide TLR9 ligand (abbreviated from hereon as TLR9L)5,6. However, these increments were founded on a background of established immunological memory, and as such, there is no a priori evidence to support the contention that primary CD8+ T-cell responses can be enhanced via TLR9. It is also important to note that inhibitory/tolerogenic effects have been attributed to TLR9Ls7-11.
In this study, we used an in vitro model to prime de novo CD8+ T-cell responses in the presence of various adjuvants, including CpG ODN 2006. Unexpectedly, we found that CpG ODN 2006 largely failed to enhance the expansion and functional maturation of naive antigen-specific CD8+ T cells, in contrast to a standard cocktail of inflammatory cytokines, ssRNA40 (TLR8L), or the stimulator of interferon genes (STING) ligand 2′3′-cGAMP.
Results and discussion
To investigate the potential utility of CpG ODN 2006 (TLR9L) as a vaccine adjuvant, we used a previously optimized in vitro model that allows direct quantification of priming efficacy via the measurement of antigen-driven CD8+ T-cell expansion originating from naive precursors specific for Melan-A26–35/A27L (EV10) restricted by HLA-A*02:01 (abbreviated from hereon as HLA-A2), which are readily accessible in standard preparations of peripheral blood mononuclear cells (PBMCs)12,13. Healthy donors were recruited for this study to minimize the likelihood of naturally occurring memory responses to EV10. We found that lower frequencies of EV10-specific CD8+ T cells were generated after 10 days in the presence of TLR9L compared with other adjuvants, namely a standard cocktail of inflammatory cytokines, ssRNA40 (TLR8L), or the STING ligand 2′3′-cGAMP (Fig. 1A,B). A similar pattern was observed on day 7, excluding the possibility of early induction and subsequent cell death, and on day 15, excluding the possibility of late induction (Supplementary Fig. S1A). Equivalent results were also obtained using a different neoantigen, HIV-1 Nef138–147 (RF10), restricted by a different allotype, HLA-A*24:02 (Fig. 1C). Moreover, EV10-specific CD8+ T cells primed in the presence of TLR9L expressed lower levels of the cytolytic molecules granzyme B and perforin compared with EV10-specific CD8+ T cells primed in the presence of TLR8L or 2′3′-cGAMP (Fig. 1A,B). Recent studies have shown that low expression levels of T-bet and high expression levels of Eomes are associated with functionally impaired CD8+ T cells14,15. In line with these findings, EV10-specific CD8+ T cells primed in the presence of TLR9L exhibited lower T-bet/Eomes ratios compared with EV10-specific CD8+ T cells primed in the presence of TLR8L or 2′3′-cGAMP (Fig. 1A,B and Supplementary Fig. S1B). All of these effects were abolished at lower concentrations of TLR9L (Supplementary Fig. S2).
To assess the relationship between priming efficacy and the inflammatory milieu, we quantified various chemokines and cytokines secreted by PBMCs after overnight exposure to TLR9L, again using the comparators TLR8L and 2′3′-cGAMP (Fig. 2A,B). TLR9L induced the secretion of several inflammatory factors, including interleukin (IL)-8, interferon (IFN)-γ-induced protein (IP-10), and monocyte chemoattractant protein (MCP)-1, at levels equivalent to or greater than those induced by TLR8L or 2′3′-cGAMP. In contrast, key effector molecules, namely IFN-γ, tumor necrosis factor (TNF), and granzyme B, were secreted in much lower amounts after stimulation with TLR9L versus stimulation with either TLR8L or 2′3′-cGAMP. This pattern was replicated for cytokines with costimulatory effects known to play important roles in priming events, such as IL-1α, IL-1β, and, more selectively, IL-12. In addition, higher levels of IL-1RA were induced by TLR9L versus 2′3′-cGAMP. This soluble factor can dampen the activation of antigen-specific T cells16.
To extend these findings, we tested the adjuvant effects of TLR9L in combination with 2′3′-cGAMP. These experiments were predicated on earlier work in mice, which showed that TLR9 and STING agonists acted synergistically to enhance various innate and adaptive immune responses17. In line with the induction of a suboptimal inflammatory milieu and previous studies in various experimental systems7–11, but counter to the notion of cooperative activity, we found that TLR9L suppressed the expansion and functional maturation of EV10-specific and RF10-specific CD8+ T cells adjuvanted by 2′3′-cGAMP (Fig. 3A–C). Although direct signaling via the STING pathway can inhibit cell proliferation, the priming efficacy of 2′3′-cGAMP relates primarily to the induction of type I IFNs via effects on DCs13. This latter process was likely impeded by TLR9L. We also found that TLR9L enhanced the production of IL-10 among otherwise subtle effects on 2′3′-cGAMP-induced patterns of chemokine/cytokine secretion in overnight assays with PBMCs (Fig. 3D). Of note, TLR9L has been shown to regulate plasmacytoid dendritic cell (pDC) responses to other immunostimulants via the induction of IL-1018, and high levels of IL-10 have been shown to inhibit the priming activity of 2′3′-cGAMP13. TLR9L can also upregulate the immunomodulatory enzyme indoleamine 2′3′-dioxygenase (IDO)19,20. However, our attempts to block these intermediaries using a purified anti-IL-10 monoclonal antibody or the IDO inhibitor D-1-methyl-tryptophan (D-1MT), respectively, failed to enhance the priming activity of TLR9L (Supplementary Fig. S3A).
To explore other potential mechanisms of suppression, we predepleted CD19+ cells, which include a population of DCs that acquire IDO-dependent regulatory functions in response to TLR9L21. In addition, we predepleted BDCA-3+ pDCs, which produce IFN-α in response to TLR9L22, and attempted to block the activity of IFN-α, which regulates many critical parameters involved in the genesis, maturation, and sustention of antigen-specific CD8+ T-cell populations23. None of these interventions enhanced the priming efficacy of TLR9L (data not shown and Supplementary Fig. S3B).
Collectively, these data show that TLR9L is a relatively poor adjuvant in vitro, at least compared with a standard cocktail of inflammatory cytokines, TLR8L, or 2′3′-cGAMP, all of which promoted the antigen-driven expansion and functional maturation of naive CD8+ T cells more effectively under otherwise identical conditions. TLR9L also inhibited the priming efficacy of 2′3′-cGAMP. This effect appeared to be independent of IDO, IFN-α, and IL-10. It should be noted that CpG ODN 2006 is a type B TLR9L. Further studies are therefore warranted to test the effects of type A and type C TLR9Ls, which are more potent inducers of IFN-α3,4. Moreover, our study was confined to the in vitro setting, which does not fully embrace the anatomical and physiological complexities of priming events in vivo, and further limited to a human system, which likely explains some of the discrepancies reported in mice3. Indirect effects may be especially pertinent in vivo. For example, TLR9L can stimulate B cells and CD4+ T cells to produce IgG2a and IFN-γ, respectively, which may promote the activation and expansion of CD8+ T cells3,4. In addition, we deliberately focused our investigations on the naive pool, excluding a formal evaluation of secondary responses, which may be preferentially amplified in the presence of TLR9L. Our results nonetheless suggest that CpG ODN 2006 is unlikely to be a good candidate for the optimal induction of de novo CD8+ T-cell responses, in contrast to TLR8L or 2′3′-cGAMP.
Materials and methods
Ethics
The use of human material was approved by the Comité de Protection des Personnes of the Pitié Salpétrière Hospital (France) and the Ethical Committee of Kumamoto University (Japan). Written informed consent was obtained from all donors in accordance with the Declaration of Helsinki.
Peptides and tetramers
All peptides were synthesized at > 95% purity (Biosynthesis Inc.). The EV20 peptide (YTAAEELAGIGILTVILGVL, Melan-A21–40/A27L) was used for in vitro priming studies. Fluorochrome-labeled tetrameric complexes of HLA-A*02:01–EV10 (ELAGIGILTV; Melan-A26–35/A27L) and HLA-A*24:02–RF10 (RYPLTFGWCF, Nef138–147) were generated in-house as described previously24,25.
In vitro priming of antigen-specific CD8+ T cells
PBMCs were isolated and cryopreserved from venous blood samples donated by healthy HLA-A2+ volunteers attending the Etablissement Français du Sang. Naive precursors specific for HLA-A2–EV10 were primed in vitro using an accelerated DC coculture protocol as described previously12,26,27. Briefly, thawed PBMCs were resuspended at 2.5 × 106 cells/well in 48-well tissue culture plates containing AIM V medium (Thermo Fisher Scientific) supplemented with Flt3L (50 ng/ml; R&D Systems) to mobilize resident DCs. Predepletion of BDCA-3+ or CD19+ cells was achieved via magnetic selection using the corresponding MicroBeads (Miltenyi Biotec). After 24 h (day 1), the Melan-A peptide EV20 (1 µM) was added to the cultures, and DC maturation was induced under different adjuvant conditions, including: (1) a standard cocktail of inflammatory cytokines incorporating TNF (1,000 U/ml), IL-1β (10 ng/ml), IL-7 (0.5 ng/ml), and prostaglandin E2 (PGE2; 1 μM) from R&D Systems; (2) CpG ODN 2006 (TLR9L; 10 µg/ml) from InvivoGen; (3) ssRNA40 (TLR8L; 0.5 μg/ml) from InvivoGen; and (4) 2′3′-cGAMP (10 µg/ml) from InvivoGen. CpG ODN 2006 was combined in some experiments with purified anti-IL-10 (clone JES3-19F1; BioLegend) or D-1MT (Sigma-Aldrich). Negative control wells lacked EV20. On day 2, fetal bovine serum (FBS) was added at a final v/v ratio of 10%. Medium was replaced every 3 days thereafter with fresh RPMI 1640 containing 10% FBS. Unless stated otherwise, antigen-specific CD8+ T cells were characterized on day 10.
Flow cytometry
The following directly conjugated monoclonal antibodies were used to stain CD8+ T cells: (1) anti-CD3–BV605 (clone SK7), anti-CD8–APC-Cy7 (clone SK1), anti-CCR7–PE-Cy7 (clone 3D12), and anti-granzyme-B–V450 (clone GB11) from BD Biosciences; (2) anti-CD27–Alexa Fluor 700 (clone O323) and anti-perforin–FITC (clone B-D48) from BioLegend; and (3) anti-CD45RA–PerCP-Cy5.5 (clone HI100), anti-T-bet–Alexa Fluor 647 (clone 4B10), and anti-Eomes–PE-eFluor 610 (clone WD1928) from eBioscience. Dead cells were eliminated from the analysis using LIVE/DEAD Fixable Aqua (Thermo Fisher Scientific). Expression of T-bet and Eomes was measured using a Transcription Factor Buffer Set (BD Biosciences). Intracellular staining for granzyme B and perforin was compatible with this procedure28. Data were acquired using an LSR Fortessa (BD Biosciences) and analyzed with FlowJo software version 9.3.7 (Tree Star Inc.). The gating strategy is shown in Supplementary Fig. S4.
Measurement of soluble factors
Chemokines and cytokines were measured using a Luminex T200 instrument in combination with a human Bio-Plex Immunoassay Kit (Bio-Rad). All concentrations were determined as the mean of two replicates after background subtraction.
Statistics
Univariate statistical analyses were performed using nonparametric tests in Prism software version 8.4.2 (GraphPad). Significance was assigned at p < 0.05.
Supplementary information
Acknowledgements
We thank Takuya Yamamoto for helpful discussions. This work was supported by the French Agence Nationale de la Recherche (ANR-14-CE14-0030-01), the French Agence Nationale de la Recherche sur le SIDA (ANRS), Sidaction, Grants-in-Aid for Scientific Research and an AIDS International Collaborative Research Grant from the Ministry of Education, Culture, Sports, Science and Technology (Japan), and a Grant-in-Aid for Young Scientists from the Japan Society for the Promotion of Science (JP17H05087). D.A.P. is a Wellcome Trust Senior Investigator (100326/Z/12/Z).
Author contributions
L.P. designed and performed experiments and analyzed data. N.K. designed and performed experiments and analyzed data. A.L. designed and performed experiments and analyzed data. E.G. performed experiments. D.A.P. designed experiments and wrote the paper. V.A. designed experiments, analyzed data, and wrote the paper. F.N. designed and performed experiments, analyzed data, and wrote the paper.
Data availability
All primary data generated during the course of this study are available from the corresponding authors upon reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Victor Appay and Francesco Nicoli.
Contributor Information
Victor Appay, Email: victor.appay@upmc.fr.
Francesco Nicoli, Email: nclfnc1@unife.it.
Supplementary information
is available for this paper at 10.1038/s41598-020-67704-0.
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Supplementary Materials
Data Availability Statement
All primary data generated during the course of this study are available from the corresponding authors upon reasonable request.