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JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article ScienceDirect * Journals & Books * Help * Search RegisterSign in * PDFView PDF Search OUTLINE 1. Highlights 2. Abstract 3. Keywords 4. Abbreviations 5. 1. Introduction 6. 2. Methods 7. 3. Results 8. 4. Discussion 9. Declaration of Competing Interest 10. Acknowledgements 11. Authors’ contributions 12. Funding 13. Trademark 14. Appendix A. Supplementary material 15. Data sharing statement 16. References Show full outlineNavigate Down FIGURES (6) 1. 2. 3. 4. 5. 6. TABLES (1) 1. TableTable 1 EXTRAS (6) DownloadDownload all 1. Interactive Case InsightsSupplementary data 1 2. Text DocumentSupplementary data 2 3. Interactive Case InsightsSupplementary data 3 4. Interactive Case InsightsSupplementary data 4 5. Interactive Case InsightsSupplementary data 5 6. Interactive Case InsightsSupplementary data 6 VACCINE Available online 21 December 2022 In Press, Corrected ProofHelpWhat are Corrected Proof articles? SYSTEMS ANALYSIS OF HUMAN RESPONSES TO AN ALUMINIUM HYDROXIDE-ADSORBED TLR7 AGONIST (AS37) ADJUVANTED VACCINE REVEALS A DOSE-DEPENDENT AND SPECIFIC ACTIVATION OF THE INTERFERON-MEDIATED ANTIVIRAL RESPONSE Author links open overlay panelEmilioSienaa1EnvelopeFrancescaSchiavettia1EnvelopeEricaBorgogniaEnvelopeMariannaTacconeaEnvelopeElisaFaenziaEnvelopeMichelaBrazzoliaEnvelopeSusannaApreaaEnvelopeMoniaBardelliaEnvelopeGianfrancoVolpiniaEnvelopeFrancescaBuricchiaEnvelopeChiaraSammicheliaEnvelopeSimonaTavariniaEnvelopeVivianeBechtoldbEnvelopeChristoph J.Blohmkea3EnvelopeDarioCardamonecEnvelopeCarloDe IntinisadEnvelopeAntonioGonzalez-Lopeze4EnvelopeDerek T.O'HagandEnvelopeSandraNutieEnvelopeClaudiaSeidleEnvelope…OrettaFincoa2PersonEnvelope Show moreNavigate Down ListOutlinePlusAdd to Mendeley ShareShare Cited ByCite https://doi.org/10.1016/j.vaccine.2022.12.006Get rights and content Under a Creative Commons license Open access HIGHLIGHTS • An AS37-adjuvanted vaccine induced immune responses which maintained for 6 months. • Extensive immune profiling was conducted on a subset of participants. • AS37 increased expression of interferon-inducible genes and serum CXCL10 (IP-10). • AS37 upregulated specific innate immune cells and Ag-specific B and T lymphocytes. • The immune signature is consistent with toll-like receptor 7 engagement. ABSTRACT The candidate Adjuvant System AS37 contains a synthetic toll-like receptor agonist (TLR7a) adsorbed to alum. In a phase I study (NCT02639351), healthy adults were randomised to receive one dose of licensed alum-adjuvanted meningococcal serogroup C (MenC-CRM197) conjugate vaccine (control) or MenC-CRM197 conjugate vaccine adjuvanted with AS37 (TLR7a dose 12.5, 25, 50 or 100 µg). A subset of 66 participants consented to characterisation of peripheral whole blood transcriptomic responses, systemic cytokine/chemokine responses and multiple myeloid and lymphoid cell responses as exploratory study endpoints. Blood samples were collected pre-vaccination, 6 and 24 h post-vaccination, and 3, 7, 28 and 180 days post-vaccination. The gene expression profile in whole blood showed an early, AS37-specific transcriptome response that peaked at 24 h, increased with TLR7a dose up to 50 µg and generally resolved within one week. Five clusters of differentially expressed genes were identified, including those involved in the interferon-mediated antiviral response. Evaluation of 30 cytokines/chemokines by multiplex assay showed an increased level of interferon-induced chemokine CXCL10 (IP-10) at 24 h and 3 days post-vaccination in the AS37-adjuvanted vaccine groups. Increases in activated plasmacytoid dendritic cells (pDC) and intermediate monocytes were detected 3 days post-vaccination in the AS37-adjuvanted vaccine groups. T follicular helper (Tfh) cells increased 7 days post-vaccination and were maintained at 28 days post-vaccination, particularly in the AS37-adjuvanted vaccine groups. Moreover, most of the subjects that received vaccine containing 25, 50 and 100 µg TLR7a showed an increased MenC-specific memory B cell responses versus baseline. These data show that the adsorption of TLR7a to alum promotes an immune signature consistent with TLR7 engagement, with up-regulation of interferon-inducible genes, cytokines and frequency of activated pDC, intermediate monocytes, MenC-specific memory B cells and Tfh cells. TLR7a 25–50 µg can be considered the optimal dose for AS37, particularly for the adjuvanted MenC-CRM197 conjugate vaccine. KEYWORDS Adjuvant System Toll-like receptor 7 Immune response Vaccine Plasmacytoid dendritic cells Type I interferon ABBREVIATIONS ANOVA analysis of variance APC antigen-presenting cell BTM blood transcriptional module cDNA complementary DNA D study day DC dendritic cells DEG differentially-expressed gene ELISpot enzyme-linked immunospot FACS fluorescence-activated cell sorting GCRMA GC Robust Multiarray Average GEO Gene Expression Omnibus GSEA Gene Set Enrichment Analysis HBV hepatitis B virus hSBA human complement serum bactericidal assay IFN interferon IgG immunoglobulin G IgM immunoglobulin M IL interleukin MBC memory B cells MenC Neisseria meningitidis serogroup C MFI median fluorescence intensity NHP non-human primate PBMC peripheral blood mononuclear cells PBS phosphate-buffered saline PCA principal component analysis pDC plasmacytoid dendritic cells SMIP small molecule immune potentiator Tfh T follicular helper cells TLR toll-like receptor TLRa toll-like receptor agonist 1. INTRODUCTION Adjuvants are molecular compounds, added into vaccine formulations, that are capable of modulating the quality and magnitude of the immune response [1], [2], [3]. Where protection relies on activating immune arms other than antibody generation, adjuvants can be effective in shifting the balance towards a cell-mediated immunity, as recently shown [4]. The first generation of adjuvants to be used in human vaccines was based either on aluminium salts or oil-in-water emulsions [2]. A new generation of adjuvants includes small molecule immune potentiators (SMIPs) that target toll-like receptors (TLRs) [5]. TLRs are transmembrane proteins consisting of leucine-rich ectodomains that are expressed either on cell surfaces recognising extracellular pathogen components (TLR1, TLR2, TLR4, TLR5, TLR6 and TLR11) or within intracellular compartments and specialised in the recognition of exogenous nucleic acids (TLR3, TLR7, TLR8 and TLR9) [5]. Some TLR ligands are included in adjuvants that are used in commercial vaccines [2]. For example, the Adjuvant System AS04, containing 50 µg of monophosphoryl lipid A (a non-toxic TLR4 ligand) adsorbed on aluminium salt (500 µg Al3+), was the first TLR agonist (TLRa) adjuvant to be used in humans and is now a component of commercial vaccines against human papilloma virus and hepatitis B virus (HBV) [6], [7]. Other examples include HEPLISAV-B, a HBV vaccine containing as adjuvant a synthetic oligonucleotide that stimulates innate immunity through TLR9 [8], and BBV152, a whole-virion inactivated SARS-CoV-2 vaccine formulated with a TLR 7/8 agonist adsorbed to aluminium hydroxide (alum) [9]. Synthetic molecules are designed to bind and trigger TLR7 and TLR8 that usually detect viral single-stranded RNA molecules within endosomes [10]. They activate nuclear factor kappa-light-chain enhancer of activated B cells (NF-κB) and interferon (IFN) regulatory factor 7, via the adaptor protein myeloid differentiation primary response 88 (MyD88), to induce inflammatory cytokines and type I IFN [10]. In humans, TLR7 is mainly expressed by plasmacytoid dendritic cells (pDC) and, to a lesser extent, by B cells and neutrophils [11], and it is involved in the enhanced expression of type I IFN and pro-inflammatory cytokines [10]. Engagement of TLR7 can shift the immune response toward a T helper 1 (Th1)-type mediated phenotype, induce the expansion of memory B cells (MBC) and increase specific immunoglobulin G (IgG2a) titres [12], [13], [14]. A new Adjuvant System, AS37, is based on a synthetic TLR7a molecule with a benzonaphthyridine chemical scaffold, which has been adsorbed to alum to limit systemic exposure [12], [15]. Pre-clinical studies of AS37 demonstrated a superior effective immune response when compared to alum-adjuvanted controls in animal models using several target pathogens, including Staphylococcus aureus and Neisseria meningitidis serogroup C (MenC) [12], [13], [15], [16]. Adsorption of TLR7a to alum significantly improved expansion of the MBC compartment in mice [17]. A clinical dose-escalation study assessed the safety and immunogenicity of an investigational AS37-adjuvanted MenC-CRM197 conjugate vaccine (TLR7a dose 12.5, 25, 50 or 100 µg) in healthy adults, as compared to a control group that received a licensed alum-adjuvanted MenC-CRM197 conjugate vaccine [18]. A single dose of the AS37-adjuvanted vaccine induced antigen-specific antibody responses that were maintained at 6 months post-vaccination, with a trend for a TLR7a dose-dependent increase in MenC polysaccharide binding antibodies. Only slight differences were observed between groups in the ability to induce opsonising antibodies (as detected by human complement serum bactericidal assay, hSBA). The study also identified a clinically acceptable dose range for AS37 (TLR7a 12.5–50 µg). Here, we present results from in-depth profiling of the immune response to the AS37-adjuvanted vaccine in the same clinical dose-escalation study. This reveals that AS37 promotes an upregulation of IFN-inducible genes, an immune signature consistent with the engagement of TLR7 and induces activation of immune cells, such as activated pDC, intermediate monocytes, T follicular helper (Tfh) cells and antigen specific B cells. 2. METHODS 2.1. STUDY DESIGN AND PARTICIPANTS The design of the phase 1 clinical study (NCT02639351), performed at a single centre in Germany, was described previously [18]. Briefly, 80 healthy adults aged 18–45 years were randomised in a 1:4 ratio to receive either alum-adjuvanted MenC-CRM197 conjugate vaccine (Menjugate, GSK; control group) or MenC-CRM197 vaccine formulated with AS37 adjuvant containing TLR7a (dose 12.5, 25, 50 or 100 µg) completely adsorbed to alum. Results on the primary and secondary objectives of the study (assessment of safety and humoral immunogenicity) have been reported [18]. A subset of 66 participants, distributed across all five treatment groups (Fig. 1; Supplementary File 1), consented to extensive immune profiling consisting of the assessment of peripheral whole blood transcriptomic responses, systemic cytokine/chemokine responses and detailed characterization of the responses of multiple myeloid and lymphoid cell subpopulations. Additional blood samples were collected for the assessment of these exploratory endpoints at baseline (before vaccination) and at 6 and 24 h after vaccination (study Day 1), and 3, 7, 28 and 180 days after vaccination (Days 4, 8, 29 and 181, respectively). 1. Download : Download high-res image (252KB) 2. Download : Download full-size image Fig. 1. Analyses conducted for in-depth profiling of immune responses to vaccination in 66 participants randomly assigned to one of five treatment groups. Day 1 refers to the day of vaccination. Filled squares indicate the immune responses that were measured at each study visit. Human complement serum bactericidal assay (hSBA) and enzyme-linked immunosorbent assay (ELISA) results were reported previously [18]. MenC-CRM197 + Alum, group that received alum-adjuvanted N. meningitidis serogroup C (MenC) CRM197-conjugated vaccine (Menjugate, control); MenC-CRM197 + AS37, group that received MenC-CRM197-conjugated vaccine with AS37 adjuvant containing Toll-like receptor 7 agonist (TLR7a dose 12.5, 25, 50 or 100 µg). ELISpot, enzyme-linked immunospot; FACS, fluorescence-activated cell sorting; h, hours post-vaccination; n, number of participants. 2.2. TRANSCRIPTOME DATA ANALYSIS Whole blood gene expression profiles were assessed at baseline, 6 and 24 h, and 3 and 7 days after vaccination. The last two timepoints (Days 4 and 8) were tagged as D4 and D8, respectively. Total RNA was extracted and purified following procedures described by Burny et al. [19]. RNA quality was assessed using Bioanalyzer-2100 (Agilent Technologies); total RNA was used for complementary DNA (cDNA) amplification, fragmentation and labelling using the Ovation Kit (Tecan Genomics, Inc.). Fragmented cDNA was hybridised using hgu133 Plus2.0 GeneChip (Thermo Fisher Scientific; 54,675 probe sets). Resulting probe sets’ fluorescence intensity values were then GC Robust Multiarray Average (GCRMA)-normalised, log2-transformed and filtered by removing probe sets not mapping to genes or not showing variation across the entire dataset (log2 inter-quartile range ≤ 0.5) [20]. Probe sets mapping to the same gene were collapsed by computing the geometric mean of their fluorescence intensity, resulting in a final list of 7564 gene expression values. Non-human primate (NHP) transcriptome data were derived from a previous study [21]. Briefly, microarrays were quantile normalized using the preprocessCore Bioconductor package. Probe sets mapping to the same gene were then collapsed by computing the geometric mean of their fluorescence intensity. Genes showing low expression values across the dataset (≤100 absolute fluorescence units in ≥ 90 % of samples) and low modulation at 24 h post immunization (log2 fold-change from baseline ≤ 0.1 in ≥ 90 % of sample) were filtered out, leading to a working dataset of 13,255 genes. Transcriptional modulation from baseline was assessed using R package limma [22] and by fitting a mixed-effect model setting subjects’ identity as random effect variable and treatments and timepoints as fixed effect explanatory variables. P-values were adjusted for multiple testing using the Benjamini-Hochberg procedure. Hierarchical clustering of differentially-expressed genes (DEGs) was performed using the average response of each treatment group at each individual timepoint. Clusters’ functional enrichment analysis was computed by applying a Fischer’s exact test on the biological process gene ontology annotations. For each cluster, the proportion of genes mapped to a specific biological process was compared with that observed in the whole set of 7564 genes. Functional enrichment analysis of the principal component analysis (PCA) components was performed by ranking the genes based on their assigned weight and applying the Gene Set Enrichment Analysis (GSEA) [23], [24], using the biological process gene ontology annotation. For all tests, p-values were adjusted for multiple testing through the Benjamini-Hochberg procedure. Blood transcriptional module (BTM) responses were obtained based on the set of modules proposed by Obermoser et al. [25]. Module-level responses were computed by averaging the log2-scaled transcript abundance values of the mapped genes. 2.3. MULTIPLEX ANALYSIS OF CYTOKINES Serum concentrations of a panel of 30 chemokines and cytokines were evaluated at baseline, 6 and 24 h post-vaccination, and at D4 and D8 by multiplex electrochemiluminescence-based assay, using the Mesoscale Discovery (MSD) V-PLEX Human Cytokine 30-plex Kit (K15054-D) according to the manufacturer’s instructions, as summarised in Supplementary File 2. 2.4. INNATE CELL PHENOTYPING BY FLOW CYTOMETRY Innate cell phenotyping was analysed by flow cytometry (fluorescence-activated cell sorting, FACS), evaluating the frequency and quality of antigen-presenting cells (APCs), in particular plasmacytoid and myeloid dendritic cells and monocyte subsets (classical, non-classical and intermediate), by a combination of specific surface markers. Number and activation status of the cell populations was assessed at baseline, 24 h after vaccination, and at D4 and D8 using frozen peripheral blood mononuclear cells (PBMC) from participants, which were thawed and analysed by flow cytometry. Cell staining methods are described in the Supplementary File 2. Each immune-identified subset was expressed as number per million of total viable PBMC and activation markers in each subset were expressed as median fluorescence intensity (MFI). 2.5. FLOW CYTOMETRIC CHARACTERISATION OF CD4+ T CELLS SPECIFIC FOR CRM197 The frequency and functional profile of CD4+ T cells specific for CRM197 were analysed at baseline, D8 and Day 29 (D29) by flow cytometry (FACS) using intracellular staining with a wide panel of cytokines and surface markers to identify cell populations, including Th cell subsets, Th0, Th1, Th2, Th17 and Tfh cells. PBMC were stimulated for 18 h at 37 °C with anti-CD28 and anti-CD49d (1 µg/mL each) and CRM197 (10 µg/mL) or Staphylococcus enterotoxin B (1 µg/mL) or with medium alone as negative control, in the presence of Brefeldin A (5 µg/mL), as previously described [26]. PBMC staining methods are described in the Supplementary File 2. The frequency of total antigen-specific CD4+ T cells was calculated by summing the frequency of CD4+ T cells producing all not overlapping permutations of the cytokines tested combined to CD40L (Boolean and logical gates with FlowJo). The response to medium was subtracted from each subject and timepoint. Data were expressed as number of antigen-specific CD4+ T cells per million of total CD4+ T cells. 2.6. B CELL RESPONSE ENZYME-LINKED IMMUNOSPOT ASSAY The frequency of MenC polysaccharide-specific and CRM197-specific B cells was assessed at baseline, and D8, D29, and Day 181 (D181) by enzyme-linked immunospot (ELISpot). Ninety-six well ELISpot plates (Millipore MultiScreenHTS HA Filter Plate) were coated with 100 µL/well of phosphate-buffered saline (PBS) containing human serum albumin, CRM (5 µg/mL) or MenC (1 µg/mL) or 2.5 µg/mL goat anti-human IgM + IgG (BD Pharmingen), for 16–20 h at 4 °C. The ELISpot assay was performed as previously described [27]. 2.7. INTEGRATED DATA ANALYSIS For a comprehensive view of immune modulations triggered by AS37, an integrated data analysis was performed. Flow cytometry, cytokine/chemokine, transcriptomic (BTM responses) and serological data were combined and processed, as described in the Supplementary File 2, leading to a final dataset of 335 response variables. The specific contribution of the TLR7a component on vaccine-induced responses was evaluated by comparing the four TLR7a dose groups to the control group through an analysis of variance (ANOVA). Early (collapsed 6 and 24 h post-vaccination and D4) and late (D8, D29 and D181) responses were analysed separately. After computing p-values for each, these were adjusted for multiple testing using the Benjamini-Hochberg procedure. 3. RESULTS 3.1. AS37 INDUCES SYSTEMIC, TRANSIENT AND DOSE-DEPENDENT ACTIVATION OF IFN-MEDIATED ANTIVIRAL RESPONSE The analysis of genes, whose abundance was significantly modulated (50 % modulation, Benjamini-Hochberg adjusted p-value ≤ 0.05) compared to pre-immune levels, identified 1439 DEGs throughout the study (Supplementary File 3). AS37 induced an early (6–72 h post-vaccination) transcriptome response that peaked at 24 h and increased with TLR7a dose up to 50 µg (Fig. 2A, Fig. S1 Supplementary File 2). The transcriptome response with the highest dose, 100 µg, was consistently lower than those observed with the 25 µg and 50 µg doses at the 6 h, 24 h and D4 timepoints (Fig. 2A, Fig. S1 Supplementary File 2). Most genes modulated within the first 3 days after vaccination were upregulated compared to baseline (Fig. S1 Supplementary File 2). At D8, transcriptome modulation did not show any specific TLR7a association and the number of DEGs was comparable among the control group and different TLR7a dose groups, except for the 25 µg dose group, which showed a stronger response (Fig. S1 Supplementary File 2). 1. Download : Download high-res image (1MB) 2. Download : Download full-size image Fig. 2. Peripheral blood transcriptome response to AS37- and alum-adjuvanted MenC-CRM197 vaccines. (A) Volcano plots representing significantly modulated genes 24 h after vaccination. Genes with more than 50 % modulation compared to baseline value (absolute fold-change ≥ 1.5 on a log2 scale) and a Benjamini-Hochberg corrected p-value ≤ 0.05 are shown in blue. (B) Heatmap representing transcriptome modulation (geometric mean) across all groups and timepoints. Heatmap colours represent the log2-fold change from baseline. Genes annotated by the GEO, as involved in type I and type II interferon (IFN) response, are shown by purple and turquoise lines, respectively (no Type III interferon associated genes were found to be modulated in this study). Numbers to the right of the heatmap indicate cluster identifiers. (C) Response profile of representative genes from clusters #3 (STAT1, STAT2), #4 (CD38, TNFRSF17) and #5 (CXCL10, IFIT1). Whiskers represent the 95 % confidence interval for the mean. MenC-CRM197 + Alum, group that received alum-adjuvanted N. meningitidis serogroup C (MenC) CRM197-conjugated vaccine (Menjugate, control); MenC-CRM197 + AS37, group that received MenC-CRM197-conjugated vaccine with AS37 adjuvant containing Toll-like receptor 7 agonist (TLR7a dose 12.5, 25, 50 or 100 µg). D, study day. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.) Hierarchical clustering of the DEGs across all timepoints revealed five distinct response clusters (Fig. 2B and Fig. S2). The first two clusters (from top to bottom in Fig. 2B) included the majority of observed DEGs and consisted of genes being either downregulated (cluster #1) or upregulated (cluster #2) at D4 and D8. Gene Expression Omnibus (GEO) functional enrichment analysis revealed that these two clusters are enriched for genes involved in metabolic processes (cluster #1) and protein production (cluster #2; Supplementary File 4). A third cluster (#3) included genes that were specifically modulated in the AS37-adjuvanted vaccine groups, with a transient response, peaking at 24 h and generally returning to baseline at D8 (Fig. 2B). This cluster was enriched for IFN-inducible genes and genes involved in IFN signalling. Examination of key genes involved in the IFN-mediated antiviral response, such as the two signal transducers coding genes STAT1 and STAT2 [28], shows activation of this response specific to the AS37-adjuvanted vaccine groups (Fig. 2C). A fourth cluster (#4) of 11 genes, involved in B cell activation and proliferation, was upregulated at D8 (Fig. 2B). As shown by the two B cell activation markers CD38 and TNFRSF17 (Fig. 2C), genes within this cluster showed a comparable response across the different groups, regardless of the presence or dose of TLR7a. Finally, a fifth cluster of 20 genes (#5), mainly involved in the IFN response, showed strong upregulation at 24 h and D4 in all AS37-adjuvanted vaccine groups (Fig. 2C, CXCL10 and IFIT1). For the TLR7a 25 µg, 50 µg and 100 µg dose groups, transcripts abundance remained generally above baseline until D8 (Fig. 2B, cluster #5). 3.2. THE PLASMABLASTS’ TRANSCRIPTIONAL SIGNATURE AT D8 IS NOT LINKED TO EARLY ACTIVATION OF THE SYSTEMIC IFN RESPONSE The set of 1439 DEGs was further analysed through PCA to assess the transcriptome response evolution over time. Fig. 3 shows the different treatment groups mapped on the first two principal components (PC1, PC2). The different timepoints appear to be well separated, in line with the clustering results shown in Fig. 2B. Specifically, the 6 h responses (Fig. 3A, blue) were closely related and positioned orthogonally to the 24 h and D8 responses, consistent with the fact that almost no DEGs were identified at this timepoint. The 24 h responses, instead, were shifted along PC2 (Fig. 3A, yellow). The shift was proportional to the TLR7a dose up to 50 µg and it partially folded back with TLR7a 100 µg dose. Functional characterisation of the genes contributing to PC2 highlighted an enrichment of IFN-inducible genes participating in the antiviral response (Supplementary File 5). Among those, the most influential were found to be IFIT1, IFI44L, RSAD2 and SIGLEC1 (Fig. 3B). D4 responses (Fig. 3A, grey) were positioned between the D1 and D8 clusters, suggesting a transitional stage in which the D1 response is waning and the D8 response is emerging. D8 responses were shifted toward the positive region of PC1 (Fig. 3A, red), representing upregulation of genes involved in B cell activation and proliferation (File S5), with no clear TLR7a dose-related trend. Among these, MZB1 and TFNRSF17 had the highest weights on PC1 (Fig. 3B). 1. Download : Download high-res image (245KB) 2. Download : Download full-size image Fig. 3. Principal component analysis of transcriptome responses to AS37- and alum-adjuvanted MenC-CRM197 vaccines. (A) PC1-PC2 scatter plot for the different groups clustered according to the time of sample collection. (B) Loadings plot representing the 10 most influential genes in the PC1-PC2 space. Alum, group that received alum-adjuvanted N. meningitidis serogroup C (MenC) CRM197-conjugated vaccine (Menjugate, control); AS37-12.5/25/50/100, group that received MenC-CRM197-conjugated vaccine with AS37 adjuvant containing Toll-like receptor 7 agonist (TLR7a dose 12.5, 25, 50 or 100 µg). D, study day; h, hours post-vaccination; PC, principal component. To check the consistency of observed patterns among different study participants, individual response profiles were analysed using a multilevel PCA. Despite higher dispersion of the data points on the PCA space (Fig. S3), 24 h and D8 responses still appeared to be well separated, confirming the observed response evolution over time. Fig. 3A shows a similar level of B cell-related genes activation at D8 (represented by the shift along PC1) between vaccine groups. The fact that the alum-adjuvanted vaccine could induce a B-cell response signature comparable to the AS37-containing formulations without inducing IFN-inducible genes at 24 h (as indicated by the lack of shift along PC2) suggests that the early IFN signature elicited by AS37 may be irrelevant for subsequent B cell activation, at least in this specific experimental setting. To corroborate this hypothesis and identify other potential transcriptional correlates of immunogenicity, we checked for correlations between the first two PCA components and those adaptive immune responses (cell-mediated and humoral immune response variables) measured 7 and 28 days post-vaccination using canonical correlation analysis. Twenty-four hours and D8 transcriptome responses were analysed separately. The analysis did not show any appreciable correlation (Fig. S4). 3.3. INNATE IMMUNE SYSTEM ACTIVATION FOLLOWING VACCINATION The serum concentration of 30 different cytokines/chemokines was analysed to evaluate biomarkers that may be predictive of innate immune system activation. An increased level of interleukin (IL)-6 at 6 and 24 h post-vaccination was observed in all treatment groups (Fig. 4A), suggesting this to be a vaccination-induced effect rather than a response specific to AS37. Differently, the CXCL10 (IP-10) chemokine was found to be upregulated at 24 h post-vaccination in the AS37-adjuvanted vaccine groups (Fig. 4B). In the 25 µg AS37 dose groups, such upregulation was statistically significant (Benjamini-Hochberg adjusted p ≤ 0.01). No specific trends were observed in relation to timepoint or TLR7a dose for the other chemokines/cytokines analysed. 1. Download : Download high-res image (1MB) 2. Download : Download full-size image Fig. 4. Jitter plots representing the main modulated immune parameters: (A) interleukin 6 (IL-6) and (B) CXCL10 (IP-10) chemokine serum concentrations, (C) frequency of intermediate monocytes (defined as CD14++CD16+ monocyte subset), (D) activation of CD40 in plasmacytoid dendritic cells (CD14-HLA-DR+CD11c-CD123+), (E) frequency of CRM197-specific CD4+CD40L+IL-21+ T cells (T follicular helper cells), (F) CRM197-specific IgG memory B cells and (G) MenC-specific IgG memory B cells. Overlaid boxplots represent medians and central interquartile ranges. * ≤ 0.1, ** ≤ 0.01, *** ≤ 0.001 (two-way ANOVA, Benjamini-Hochberg adjusted p-value). Alum, group that received alum-adjuvanted MenC-CRM197-conjugated vaccine (Menjugate, control); AS37-12.5/25/50/100, group that received MenC-CRM197-conjugated vaccine with AS37 adjuvant containing Toll-like receptor 7 agonist (TLR7a dose 12.5, 25, 50 or 100 µg). D, study day; h, hours post-vaccination; IgG, immunoglobulin G; MBC, memory B cells; N, number; PBMC, peripheral blood mononuclear cells. Innate cell phenotyping by flow cytometry was investigated to define the impact of AS37 adjuvant on different innate immunity cell populations and their activation status comparing among pre- and post-vaccination status within each group. The intermediate monocytes population, a highly phagocytic subset, showed an increase after vaccination that peaked at D4 and decreased at D8. This effect was AS37-specific and was more prominent in the highest AS37 dose groups of 50 and 100 µg, where the change reached statistical significance (Fig. 4C). A trend towards an increased number of monocytes at D4 was observed in all vaccine groups, irrespective of TLR7a dose (data not shown), which can be attributed to a vaccination effect. (Fig. 4C). Innate cell activation at each sampling timepoint for myeloid cells (DC and monocytes), evaluated by measuring level of expression (by MFI) of activation markers (HLA-DR, CD86, CD40, CD32 and CD64), showed no specific trends associated with either TLR7a dose or sampling time point. The only appreciable, albeit non-significant, effect was an increase of pDC expressing the costimulatory molecule CD40, with a trend towards an increase at D4 in the AS37-adjuvanted vaccine groups versus alum-adjuvanted vaccine group, particularly for TLR7a dose 25 µg (Fig. 4D). 3.4. FREQUENCY AND QUALITY OF ANTIGEN-SPECIFIC CD4+ T CELLS AND MEMORY B CELLS Analysis of the abundance and quality of CRM197-specific CD4+ T cells in each Th cell subset showed a trend towards an increase across all groups at D8 and D29, with no overall specific trend in relation to AS37 (data not shown). However, the frequency of CRM197-specific CD4+CD40L+IL21+ Tfh cells showed a stronger post-vaccination increase in the AS37-adjuvanted vaccine groups as compared to the alum-adjuvanted control group (Fig. 4E). A similar response profile was also observed with CRM-specific Th1 cells (IFN-γ producing cells), particularly for TLR7a doses 12.5, 25 and 50 µg (Fig. S5). In this case, however, the AS37-induced modulation did not reach statistical significance. The frequency of circulating IgG and IgM MBC specific for MenC polysaccharide and CRM197 antigen was analysed by ELISpot and expressed as percentage of antigen-specific MBC/total IgG and MBC/total IgM. The CRM197-specific MBC showed a significantly higher response at D29 versus baseline in the control vaccine group and similarly in the groups that received the AS37-adjuvanted vaccines, especially the 12.5 and 25 µg doses (Fig. 4F). Finally, the groups that received vaccine containing 25, 50 and 100 µg TLR7a showed a greater MenC-specific MBC response versus baseline as compared to the control group, in particular at 25 µg TLR7a dose. (Fig. 4G). 3.5. AS37 IMMUNE-MODULATION PROPERTIES ARE DRIVEN BY ITS TLR7A COMPONENT We compared the four AS37-adjuvanted vaccine groups with the control group to assess specific effects contributed by TLR7 stimulation. After an initial normalisation and filtering step, the different types of immunological data were analysed collectively. The 335 selected immune readouts are summarised in Table 1. Modulations induced by AS37 within the first 3 days following vaccination were almost exclusively represented by boosted IFN-related signals (Fig. 5). All three IFN-related BTMs (M1.2, M3.4 and M5.12) were significantly upregulated in at least one TLR7a dose group. Consistent with observations from the gene level transcriptome analysis (Fig. 2), the 50 µg dose had the strongest effect. The other IFN-related response to be boosted by TLR7a was the serum concentration of CXCL10 (IP-10) chemokine (Fig. 5). TLR7a 25 and 50 µg doses also induced a higher frequency of activated APC subsets, such as CD86+ or HLADR+ monocytes, CD64+CD1c+ DC and CD40+ pDC (Fig. 5). Finally, in line with previous observations, the AS37 effect at D8, D29 and D181 was substantially weaker as compared to earlier timepoints (Fig. S6). Table 1. Summary of 335 selected immune readouts from the comparison of the four AS37-adjuvanted vaccine groups with the control group. D1 refers to the day of vaccination. Empty CellEarly immune parametersLate immune parametersMaximum (D1–D4)D8D29D181MenC hSBA and ELISA–222Blood transcriptional modules99115––Cytokines/chemokines913––Myeloid/lymphoid cells3331––CD4+ T cells–89–Memory B cells/plasmablasts–444 D, study day; ELISA, enzyme-linked immunosorbent assay; hSBA, human complement serum bactericidal assay; MenC, N. meningitidis serogroup C. 1. Download : Download high-res image (309KB) 2. Download : Download full-size image Fig. 5. Volcano plot of differential modulation for each immune parameter at 6 and 24 h post-vaccination and Day 4 in the four AS37-adjuvanted MenC-CRM197 vaccine groups as opposed to the alum-adjuvanted MenC-CRM197 vaccine group. The highest response observed at the three timepoints was used for each parameter. Solid coloured points indicate immune parameters with an absolute fold change ≥ 0.5 (in log2 scale) and an associated p-value ≤ 0.05 (ANOVA test). White-dotted symbols indicate a false discovery rate ≤ 5 %. Only parameters significantly modulated (p ≤ 0.05) in at least one dose group are represented. AS37-12.5/25/50/100, group that received MenC-CRM197-conjugated vaccine with AS37 adjuvant containing Toll-like receptor 7 agonist (TLR7a dose 12.5, 25, 50 or 100 µg). ANOVA, analysis of variance; BTM, blood transcriptional module; CMo, classical monocytes; cmDCs, conventional myeloid dendritic cells; IMo, intermediate monocytes; MenC, N. meningitidis serogroup C; pDC, plasmacytoid dendritic cells. 3.6. THE SAME AS37 IFN-RELATED SIGNATURE IS INDUCED IN NHP In a NHP model in which animals were immunised with the human immunodeficiency virus (HIV) gp140 glycoprotein [21], AS37 was reported to induce the upregulation of antiviral and IFN genes, while not having any effect on the modulation of pro-inflammatory genes, which could theoretically be induced by the TRL7 engagement. We compared the peripheral blood transcriptome responses in the NHP study with those obtained in our study. Fig. 6 shows the modulation of 10 BTMs, selected based on findings from the NHP study [21] and representing clusters of genes involved in either IFN (M1.2, M3.4 and M5.12) or inflammatory (M3.2, M4.2, M4.6, M4.13, M5.1, M5.7 and M7.1) responses, at 24 h post-vaccination. The analysis shows that, in both humans and NHPs, AS37 induced a significant (Benjamini-Hochberg corrected ANOVA p-value ≤ 0.05) upregulation of IFN-related BTMs, while not interfering with the inflammation-related BTM response (Supplementary File 6). The AS37 transcriptome response patterns were remarkably similar between the two studies (Fig. 6). 1. Download : Download high-res image (223KB) 2. Download : Download full-size image Fig. 6. Radar chart showing the effect of AS37 (containing TLR7a 50 µg) on interferon- and inflammation-related blood transcriptional modules (BTMs), including interferon-inducible and inflammation-related genes, 24 h after vaccination in the present study and in a previous study of non-human primates [21]. Results shown with alum-adjuvanted MenC-CRM197 vaccine and AS37-adjuvanted MenC-CRM197 vaccine (Toll-like receptor 7 agonist dose 50 µg) administered to humans and with AS37-adjuvanted HIV envelope glycoprotein 140 (Gp140) vaccine administered to non-human primates. BTMs were originally described by Li et al [42]. Solid lines show average BTM responses and shaded areas the 95 % confidence intervals. Log2 fold-changes from baseline values are represented. 4. DISCUSSION We conducted in-depth profiling, in healthy adults, of immune responses to a MenC conjugate vaccine formulated with a novel SMIP adjuvant component (AS37), containing different doses of TLR7a adsorbed to alum, and compared them to a control group that received a licensed alum-adjuvanted MenC conjugate vaccine. Results from the clinical study showed that the AS37-adjuvanted MenC-CRM197 vaccine was safe and well tolerated, with a trend towards dose-dependent increase of MenC polysaccharide-binding antibodies in the groups that received AS37-adjuvanted vaccine, but no appreciable difference in functional antibody titres, although the study was not powered to compare immune responses [18]. In a sub-cohort of 66 participants, additional exploratory analyses were conducted to further characterise the immune response. Overall, the peripheral blood transcriptome responses indicated that AS37 induces systemic, transient activation of the IFN-mediated antiviral response, which peaks 24 h after vaccination and generally resolves within one week. This response was dose-dependent up to the 50 µg TLR7a dose, while the 100 µg dose was less effective than the 50 µg and 25 µg doses. Hierarchical clustering revealed five clusters of DEGs, segregating genes involved in metabolic processes and protein production (clusters #1 and #2), IFN-inducible genes and genes involved in IFN response (clusters #3 and #5) and B cell activation and proliferation (cluster #4). The B cell transcriptional signature observed in peripheral blood 7 days after vaccination is indicative of vaccine-specific lymphocytes that differentiate into plasmablasts and start producing antibodies. There was also evidence that the observed plasmablasts’ transcriptional signature may be decoupled from early activation of the systemic IFN response as suggested by the alum-adjuvanted vaccine group, which showed a similar level of activation of B cell-related genes as the AS37-adjuvanted vaccine groups 7 days post-vaccination, with no appreciable IFN response at 24 h. In addition, analysis of the serum expression of cytokines/chemokines showed an increased level of CXCL10 (IP-10) chemokine at 24 h and 3 days post-vaccination in AS37-adjuvanted vaccine groups as compared to baseline. This is also supported by CXCL10 responses detected at mRNA level. CXCL10 (C–X–C motif chemokine 10), also known as IFN γ-induced protein 10 kDa (IP-10) [29], binds CXCR3 receptor to induce chemotaxis, which can be produced by monocytes and lymphocytes in response to IFN responses. The increased level of CXCL10 in AS37-adjuvanted vaccine groups may indicate local production at the injection site or draining lymph nodes that might in turn trigger recruitment of immune cells, creating the appropriate microenvironment for an optimal immune response to the vaccine antigens. Regarding APCs response, there was evidence of an increase in intermediate monocyte, a phagocytic subset of innate immune cells, that peaked 3 days post-vaccination and waned 7 days post-vaccination, with highest increases in the TLR7a 25 and 50 µg dose groups. Moreover, a trend for augmentation of activated pDC expressing CD40 was observed in the AS37-adjuvanted vaccine groups 3 days post-vaccination. Overall, these findings combined with the CXCL10 increase suggest that AS37 may have a positive effect on the activation and recruitment of innate immune cells. As previously shown [26], [30], a post-vaccination increase of vaccine-specific CD4+ T cells correlated in a predictive manner with the rise and long-term maintenance of protective antibody titres. Here, in particular, we observed an increased frequency of CRM-specific Tfh cells (CD4+CD40L+IL21+ T cells) at 7 days post-vaccination that was maintained at 4 weeks post-vaccination, with highest increases in the AS37-adjuvanted vaccine groups (Fig. 4E). Tfh cells have been identified as the CD4+ T cells population specialised in providing help to B cells [31], [32], [33]. Analysis of their phenotype in lymph nodes and tonsils has pointed to a central role of IL-21, despite the absence of specific markers for this lymphocyte subset. A migratory counterpart of antigen-specific Tfh cells has been identified in peripheral blood with similar functional properties and their presence was proposed to be associated with effective vaccination [34], [35], [36]. As TLR7 is expressed by DCs and B cells, which interact directly with Tfh and can influence their activation and differentiation, observation of an enhanced Tfh response in the AS37-adjuvanted vaccine groups could reflect an indirect effect on Tfh by the TLR7a molecule via crosstalk with the DC and B cell population. An integrated data analysis was conducted to assess specific effects contributed by TLR7 stimulation, as the main difference between study vaccines was the presence of the TLR7a molecule in the investigational vaccine. This confirmed that the TLR7a component elicited an IFN-mediated immune response and increased activation of specific APCs within the first 3 days after vaccination. The post-vaccination increase in IFN-related genes with TLR7a (Fig. 2B, cluster #5) seems in agreement with the increase in activated pDC detected through the analysis of CD40 expression on their surface. pDC are indeed the main APC subset producing type I IFN cytokine after TLR7 engagement. These early responses to the vaccine, however, did not translate into a strong improvement in the adaptive immune response compartment (e.g. functional antibody) over that observed with the alum-adjuvanted vaccine and it may be due to pre-existing immunity to the MenC antigen in the participants. Indeed, MenC is the second most common meningococcal serogroup after serogroup B in Germany [37], where the clinical study was conducted [18]. Moreover, as previously discussed [18], interpretation of the immunogenicity results from this clinical study should take into account that both the control MenC-CRM197 vaccine and the investigational formulation contain alum which has immunogenic properties by itself. Therefore, considering the fact that the study was conducted in a young healthy population, that usually have a strong robust immune response to the MenC vaccine, this could account for the fact that it was difficult to detect a dose–response relationship with increasing TLR7a dose and explain why the early signatures described did not translate into a strong rise in antibody functionality as compared to the control vaccine. Moreover, we must consider that antibodies can confer protection through many mechanisms beyond neutralisation and further investigations could be done to assess the impact of AS37 on other functional characteristics of vaccination-induced antibodies, assessable through complementary approaches such as systems serology [38]. Also, further clinical study immunising with vaccines in which AS37 will be formulated with antigens for which most individuals are still naïve, could help to better identify the advantages of this adjuvant as compared to other immunostimulatory molecules. Indeed, previous study comparing early responses to HBV surface antigen combined with different Adjuvant Systems in healthy HBV-naive adults helped in clarifying the role of adjuvants on vaccine immunogenicity, reactogenicity and innate immune response activation [19], [39]. Future studies could be conducted in a most naïve population like paediatric, to evaluate the added value of this adjuvant in an immune setting with no pre-existing immunity and better appreciate changes of the immune response following vaccination as compared to baseline. However, the innate immune stimulation induced by AS37, that has been shown by these results, is also likely to enhance the immunogenicity to vaccines of individuals that are already primed for selected antigens. Therefore, further studies, aimed to evaluate the immune response of adult populations with different experienced vaccine antigens, will be also carried in the future. In the comparison of peripheral blood transcriptome responses in our study with those observed in a NHP study [21], which evaluated cross-species AS37 immunomodulatory properties when formulated with different antigens, AS37 activated IFN-inducible genes in both humans and the NHP preclinical model. This strengthens the conclusions drawn from our study, while also confirming the NHP as a reliable model for investigational studies on the immune modulation of TLRa-based adjuvants [40]. Taken together, our results are in line with what was expected from an adjuvant candidate containing TLR7a ligand, given that TLR7 is mainly expressed by pDC and is involved in the enhanced expression of type I IFN [12], [41]. This study also provides further validation, in terms of increased gene expression and production of CXCL10, of 25–50 µg as the optimal TLR7a dose in AS37. No safety concerns were identified at these doses level in the clinical study [18]. Although an enhanced humoral immune response from AS37 inclusion was not detected in the clinical study, apart from a trend for higher MenC-specific antibody concentrations [18], the observations from this detailed analysis are promising, in terms of the upregulation of IFN-mediated genes and immune signature consistent with TLR7 engagement, with an increase in the innate cell population after vaccination and antigen-specific MBC and Tfh cells at later timepoints. DECLARATION OF COMPETING INTEREST The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Emilio Siena reports financial support was provided by GSK. Francesca Schiavetti reports financial support was provided by GSK group of companies. Erica Borgogni reports financial support was provided by GSK. Marianna Taccone reports financial support was provided by GSK. Elisa Faenzi reports financial support was provided by GSK. Michela Brazzoli reports financial support was provided by GSK. Susanna Aprea reports financial support was provided by GSK. Monia Bardelli reports financial support was provided by GSK group of companies. Gianfranco Volpini reports financial support was provided by GSK. Francesca Buricchi reports financial support was provided by GSK. Chiara Sammicheli reports financial support was provided by GSK. Simona Tavarini reports financial support was provided by GSK. Viviane Bechtold reports financial support was provided by GSK. Christoph J. Blohmke reports financial support was provided by GSK. Carlo De Intinis reports financial support was provided by GSK. Antonio Gonzalez-Lopez reports financial support was provided by GSK. Derek T. O Hagan reports financial support was provided by GSK. Sandra Nuti reports financial support was provided by GSK. Claudia Seidl reports financial support was provided by GSK. Arnaud M Didierlaurent reports financial support was provided by GSK. Sylvie Bertholet reports financial support was provided by GSK. Ugo D Oro reports financial support was provided by GSK. Duccio Medini reports financial support was provided by GSK. Oretta Finco reports financial support was provided by GSK. Ugo D Oro reports a relationship with GSK that includes: equity or stocks. Christoph J. Blohmke reports a relationship with GSK that includes: equity or stocks. Derek T. O Hagan reports a relationship with GSK that includes: equity or stocks. Sylvie Bertholet reports a relationship with GSK that includes: equity or stocks. Derek T O Hagan has patent issued to Alum/TLR7. Ugo D Oro and Sylvie Bertholet are listed as inventor on patents owned by the GSK. Arnaud M Didierlaurent reports personal fees from Speranza and Lubrizol for consultancy, outside the submitted work. All authors declare no other financial or non-financial relationships and activities. ACKNOWLEDGEMENTS The authors thank Sherryl Baker (GSK at the time of the study), Lisa Bedell (GSK at the time of the study), Albertina Fanelli (GSK), Darren Kelly (GSK), Barry Kunnel (GSK), Rob Mulder (GSK), Jaap Oostendorp (GSK at the time of the study), Robert Seder (GSK at the time of the study) and Jakub Skrobanek (GSK) for their contributions to the study. The authors also thank Business & Decision Life Sciences platform for editorial assistance, manuscript coordination and writing support, on behalf of GSK. Joanne Knowles (independent medical writer, on behalf of Business & Decision Life Sciences) provided medical writing support. AUTHORS’ CONTRIBUTIONS All authors were involved in the study conception and design and/or the acquisition and generation of data and/or the analysis and interpretation of the data. All authors had full access to the data and contributed substantially to the development of the manuscript and gave final approval before submission. All authors attest they meet the International Committee of Medical Journal Editors criteria for authorship. FUNDING This study (NCT02639351) was funded by GlaxoSmithKline Biologicals SA, which was involved in all stages of study conduct, including analysis of the data. GlaxoSmithKline Biologicals SA also took in charge all costs associated with the development and publication of this manuscript. TRADEMARK Menjugate is a trademark owned by or licensed to the GSK group of companies. APPENDIX A. SUPPLEMENTARY MATERIAL DownloadDownload all supplementary files included with this article Help The following are the Supplementary data to this article:Interactive Case InsightsDownload : Download spreadsheet (24KB) Supplementary data 1. Text DocumentDownload : Download Word document (2MB) Supplementary data 2. Interactive Case InsightsDownload : Download spreadsheet (476KB) Supplementary data 3. Interactive Case InsightsDownload : Download spreadsheet (29KB) Supplementary data 4. Interactive Case InsightsDownload : Download spreadsheet (115KB) Supplementary data 5. Interactive Case InsightsDownload : Download spreadsheet (22KB) Supplementary data 6. Recommended articles DATA SHARING STATEMENT GSK makes available anonymised individual participant data and associated documents from interventional clinical studies which evaluate medicines, upon approval of proposals submitted to www.clinicalstudydatarequest.com. To access data for other types of GSK sponsored research, for study documents without patient-level data and for clinical studies not listed, please submit an enquiry via the website. REFERENCES [1] A.L. Cunningham, N. Garçon, O. Leo, L.R. Friedland, R. Strugnell, B. Laupèze, et al. Vaccine development: From concept to early clinical testing Vaccine, 34 (52) (2016), pp. 6655-6664 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [2] B. Pulendran, P.S. Arunachalam, D.T. O’Hagan Emerging concepts in the science of vaccine adjuvants Nat Rev Drug Discov, 20 (6) (2021), pp. 454-475 CrossRefGoogle Scholar [3] M.L. Mbow, E. De Gregorio, N.M. Valiante, R. Rappuoli New adjuvants for human vaccines Curr Opin Immunol, 22 (2010), pp. 411-416, 10.1016/j.coi.2010.04.004 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [4] S. Awate, L.A. Babiuk, G. Mutwiri Mechanisms of action of adjuvants Front Immunol, 4 (2013), p. 114, 10.3389/fimmu.2013.00114 Google Scholar [5] T. Kawai, S. Akira The role of pattern-recognition receptors in innate immunity: update on toll-like receptors Nat Immunol, 11 (2010), pp. 373-384, 10.1038/ni.1863 View Record in ScopusGoogle Scholar [6] B. Laupèze, C. Hervé, A. Di Pasquale, F. Tavares Da Silva Adjuvant systems for vaccines: 13 years of post-licensure experience in diverse populations have progressed the way adjuvanted vaccine safety is investigated and understood Vaccine, 37 (2019), pp. 5670-5680, 10.1016/j.vaccine.2019.07.098 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [7] N. Garçon, A. Di Pasquale From discovery to licensure, the adjuvant system story Hum Vaccin Immunother, 13 (2017), pp. 19-33, 10.1080/21645515.2016.1225635 View Record in ScopusGoogle Scholar [8] G.H. Lee, S.G. Lim CpG-adjuvanted hepatitis B vaccine (HEPLISAV-B®) update Expert Rev Vaccines, 20 (2021), pp. 487-495, 10.1080/14760584.2021.1908133 View Record in ScopusGoogle Scholar [9] R. Ella, S. Reddy, W. Blackwelder, V. Potdar, P. Yadav, V. Sarangi, et al. Efficacy, safety, and lot-to-lot immunogenicity of an inactivated SARS-CoV-2 vaccine (BBV152): interim results of a randomised, double-blind, controlled, phase 3 trial Lancet, 398 (10317) (2021), pp. 2173-2184 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [10] S. Bhagchandani, J. Johnson, D.J. Irvine Evolution of Toll-like receptor 7/8 agonist therapeutics and their delivery approaches: From antiviral formulations to vaccine adjuvants Adv Drug Deliv Rev, 175 (2021), Article 113803, 10.1016/j.addr.2021.05.013 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [11] M. Rehli Of mice and men: species variations of Toll-like receptor expression Trends Immunol, 23 (2002), pp. 375-378, 10.1016/s1471-4906(02)02259-7 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [12] C. Buonsanti, C. Balocchi, C. Harfouche, F. Corrente, L. Galli Stampino, F. Mancini, et al. Novel adjuvant Alum-TLR7 significantly potentiates immune response to glycoconjugate vaccines Sci Rep, 6 (1) (2016), 10.1038/srep29063 Google Scholar [13]Mancini F, Monaci E, Lofano G, Torre A, Bacconi M, Tavarini S, et al. One dose of Staphylococcus aureus 4C-Staph vaccine formulated with a novel TLR7-dependent adjuvant rapidly protects mice through antibodies, effector CD4+ T cells, and IL-17A. PLoS One 2016;11:e0147767. doi: 10.1371/journal.pone.0147767. Google Scholar [14] Y. Hu, L.i. Tang, Z. Zhu, H. Meng, T. Chen, S. Zhao, et al. A novel TLR7 agonist as adjuvant to stimulate high quality HBsAg-specific immune responses in an HBV mouse model J Transl Med, 18 (112) (2020), 10.1186/s12967-020-02275-2 Google Scholar [15] Y-H. Wu, M. Singh, A.T. Miller, E. De Gregorio, F. Doro, U. D’Oro, et al. Rational design of small molecules as vaccine adjuvants Sci Transl Med, 6 (263) (2014), 10.1126/scitranslmed.3009980 Google Scholar [16] F. Bagnoli, M.R. Fontana, E. Soldaini, R.P.N. Mishra, L. Fiaschi, E. Cartocci, et al. Vaccine composition formulated with a novel TLR7-dependent adjuvant induces high and broad protection against Staphylococcus aureus Proc Natl Acad Sci U S A, 112 (12) (2015), pp. 3680-3685 CrossRefView Record in ScopusGoogle Scholar [17] H.T.M. Vo, B.C. Baudner, S. Sammicheli, M. Iannacone, U. D'Oro, D. Piccioli Alum/toll-like receptor 7 adjuvant enhances the expansion of memory B cell compartment within the draining lymph node Front Immunol, 9 (2018), p. 641, 10.3389/fimmu.2018.00641 View Record in ScopusGoogle Scholar [18] A. Gonzalez-Lopez, J. Oostendorp, T. Koernicke, T. Fadini, U. D'Oro, S. Baker, et al. Adjuvant effect of TLR7 agonist adsorbed on aluminum hydroxide (AS37): A phase I randomized, dose escalation study of an AS37-adjuvanted meningococcal C conjugated vaccine Clin Immunol, 209 (2019), p. 108275 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [19] W. Burny, A. Callegaro, V. Bechtold, F. Clement, S. Delhaye, L. Fissette, et al. Different adjuvants induce common innate pathways that are associated with enhanced adaptive responses against a model antigen in humans Front Immunol, 8 (2017), 10.3389/fimmu.2017.00943 Google Scholar [20] Z. Wu, R.A. Irizarry, R. Gentleman, F. Martinez-Murillo, F. Spencer A model-based background adjustment for oligonucleotide expression arrays J Am Stat Assoc, 99 (2004), pp. 909-917, 10.1198/016214504000000683 View Record in ScopusGoogle Scholar [21] J.R. Francica, D.E. Zak, C. Linde, E. Siena, C. Johnson, M. Juraska, et al. Innate transcriptional effects by adjuvants on the magnitude, quality, and durability of HIV envelope responses in NHPs Blood Adv, 1 (25) (2017), pp. 2329-2342 ArticlePDFDownload PDFCrossRefView Record in ScopusGoogle Scholar [22]Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 2015;43:e47. doi: 10.1093/nar/gkv007. Google Scholar [23] A. Subramanian, P. Tamayo, V.K. Mootha, S. Mukherjee, B.L. Ebert, M.A. Gillette, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles Proc Natl Acad Sci U S A, 102 (43) (2005), pp. 15545-15550 CrossRefView Record in ScopusGoogle Scholar [24] V.K. Mootha, C.M. Lindgren, K.F. Eriksson, A. Subramanian, S. Sihag, J. Lehar, et al. PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes Nat Genet, 34 (2003), pp. 267-273, 10.1038/ng1180 View Record in ScopusGoogle Scholar [25] G. Obermoser, S. Presnell, K. Domico, H. Xu, Y. Wang, E. Anguiano, et al. Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines Immunity, 38 (4) (2013), pp. 831-844 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [26] G. Galli, D. Medini, E. Borgogni, L. Zedda, M. Bardelli, C. Malzone, et al. Adjuvanted H5N1 vaccine induces early CD4+ T cell response that predicts long-term persistence of protective antibody levels Proc Natl Acad Sci U S A, 106 (10) (2009), pp. 3877-3882 CrossRefView Record in ScopusGoogle Scholar [27] E. Faenzi, L. Zedda, M. Bardelli, F. Spensieri, E. Borgogni, G. Volpini, et al. One dose of an MF59-adjuvanted pandemic A/H1N1 vaccine recruits pre-existing immune memory and induces the rapid rise of neutralizing antibodies Vaccine, 30 (27) (2012), pp. 4086-4094 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [28] T.H. Mogensen IRF and STAT transcription factors - from basic biology to roles in infection, protective immunity, and primary immunodeficiencies Front Immunol, 9 (2018), p. 3047, 10.3389/fimmu.2018.03047 Google Scholar [29] M. Liu, S. Guo, J.M. Hibbert, V. Jain, N. Singh, N.O. Wilson, et al. CXCL10/IP-10 in infectious diseases pathogenesis and potential therapeutic implications Cytokine Growth Factor Rev, 22 (2011), pp. 121-130, 10.1016/j.cytogfr.2011.06.001 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [30]Spensieri F, Siena E, Borgogni E, Zedda L, Cantisani R, Chiappini N, et al. Early rise of blood T follicular helper cell subsets and baseline immunity as predictors of persisting late functional antibody responses to vaccination in humans. PLoS One 2016;11:e0157066. doi: 10.1371/journal.pone.0157066. Google Scholar [31] D. Breitfeld, L. Ohl, E. Kremmer, J. Ellwart, F. Sallusto, M. Lipp, et al. Follicular B helper T cells express CXC chemokine receptor 5, localize to B cell follicles, and support immunoglobulin production J Exp Med, 192 (2000), pp. 1545-1552, 10.1084/jem.192.11.1545 Google Scholar [32] S.E. Bentebibel, N. Schmitt, J. Banchereau, H. Ueno Human tonsil B-cell lymphoma 6 (BCL6)-expressing CD4+ T-cell subset specialized for B-cell help outside germinal centers Proc Natl Acad Sci U S A, 108 (2011), pp. E488-E497, 10.1073/pnas.1100898108 View Record in ScopusGoogle Scholar [33] P. Schaerli, K. Willimann, A.B. Lang, M. Lipp, P. Loetscher, B. Moser CXC chemokine receptor 5 expression defines follicular homing T cells with B cell helper function J Exp Med, 192 (2000), pp. 1553-1562, 10.1084/jem.192.11.1553 View Record in ScopusGoogle Scholar [34] R. Morita, N. Schmitt, S.-E. Bentebibel, R. Ranganathan, L. Bourdery, G. Zurawski, et al. Human blood CXCR5+CD4+ T cells are counterparts of T follicular cells and contain specific subsets that differentially support antibody secretion Immunity, 34 (1) (2011), pp. 108-121 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [35] S.-E. Bentebibel, S. Lopez, G. Obermoser, N. Schmitt, C. Mueller, C. Harrod, et al. Induction of ICOS+CXCR3+CXCR5+ TH cells correlates with antibody responses to influenza vaccination Sci Transl Med, 5 (176) (2013), 10.1126/scitranslmed.3005191 Google Scholar [36] F. Spensieri, E. Borgogni, L. Zedda, M. Bardelli, F. Buricchi, G. Volpini, et al. Human circulating influenza-CD4+ ICOS1+IL-21+ T cells expand after vaccination, exert helper function, and predict antibody responses Proc Natl Acad Sci U S A, 110 (35) (2013), pp. 14330-14335 CrossRefView Record in ScopusGoogle Scholar [37] S.R. Parikh, H. Campbell, J.A. Bettinger, L.H. Harrison, H.S. Marshall, F. Martinon-Torres, et al. The everchanging epidemiology of meningococcal disease worldwide and the potential for prevention through vaccination J Infect, 81 (4) (2020), pp. 483-498 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [38] A.W. Chung, G. Alter Systems serology: profiling vaccine induced humoral immunity against HIV Retrovirology, 14 (2017), p. 57, 10.1186/s12977-017-0380-3 View Record in ScopusGoogle Scholar [39] G. Leroux-Roels, A. Marchant, J. Levy, P. Van Damme, T.F. Schwarz, Y. Horsmans, et al. Impact of adjuvants on CD4+ T cell and B cell responses to a protein antigen vaccine: results from a phase II, randomized, multicenter trial Clin Immunol, 169 (2016), pp. 16-27 ArticlePDFDownload PDFView Record in ScopusGoogle Scholar [40] P.S. Arunachalam, A.C. Walls, N. Golden, C. Atyeo, S. Fischinger, C. Li, et al. Adjuvanting a subunit COVID-19 vaccine to induce protective immunity Nature, 594 (7862) (2021), pp. 253-258 CrossRefView Record in ScopusGoogle Scholar [41] T. Ito, Y.H. Wang, Y.J. Liu Plasmacytoid dendritic cell precursors/type I interferon-producing cells sense viral infection by Toll-like receptor (TLR) 7 and TLR9 Springer Semin Immunopathol, 26 (2005), pp. 221-229, 10.1007/s00281-004-0180-4 View Record in ScopusGoogle Scholar [42] S. Li, N. Rouphael, S. Duraisingham, S. Romero-Steiner, S. Presnell, C. Davis, et al. Molecular signatures of antibody responses derived from a systems biology study of five human vaccines Nat Immunol, 15 (2) (2014), pp. 195-204 CrossRefGoogle Scholar CITED BY (0) 1 Shared first authorship. 2 Shared senior authorship. 3 Present address: GSK, London, United Kingdom. 4 Present address: Bill & Melinda Gates Medical Research Institute, Massachusetts, United States. 5 Present address: University of Geneva, Geneva, Switzerland. © 2022 GlaxoSmithKline Biologicals S.A. Published by Elsevier Ltd. 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