Abstract
Affinity maturation, the progressive increase in serum antibody affinity after vaccination, is an essential process that contributes to an effective humoral response against vaccines and infections. Germinal centres (GCs) are key for affinity maturation, as they are where B cells undergo somatic hypermutation of their immunoglobulin genes in the dark zone, before going through positive selection in the light zone via interactions with T follicular helper cells and follicular dendritic cells. In aged mice, affinity maturation has been shown to be impaired after immunisation, but whether B cell-intrinsic factors contribute to this defect remains unclear. In this study, we show that B cells from aged B cell receptor transgenic mice are able to become GC B cells, which are capable of receiving positive selection signals to a similar extent as B cells from young adult mice. Consistent with this, ageing also does not impact the ability of B cells to undergo somatic hypermutation and acquire affinity-enhancing mutations. By contrast, transfer of B cells from young adult B cell receptor mice into aged recipients resulted in the impaired acquisition of affinity-enhancing mutations, demonstrating that the aged microenvironment causes altered affinity maturation.
Introduction
Affinity maturation, the progressive increase in the affinity of serum antibodies over time, is an important process that underlies an effective humoral response against vaccines and infections (1, 2). Germinal centres (GCs) are the cellular engines of affinity maturation. Within GCs, B cells undergo somatic hypermutation of their immunoglobulin genes in the dark zone, which generates a pool of B cells carrying random mutations that will then undergo selection in the light zone (3). B cells carrying functional B cell receptors (BCRs) that can uptake and present antigen to T follicular helper (Tfh) cells will receive positive selection signals, which induces upregulation of the proto-oncogene cMyc and promotes cyclic re-entry in the dark zone for further somatic mutations and clonal expansion (4–6). Eventually, these B cells exit the GC as memory B cells or long-lived antibody-secreting plasma cells, which are key in conferring protection against future infections.
The impaired vaccine response during ageing has been widely characterized across different vaccine formulations. This defect involves not only a quantitative reduction in vaccine-specific antibody titres (7–9), but also higher incidence of non-specific autoantibodies (10), and reduced adaptability of B cell response to drifted virus strains in older individuals (11). Analysis of the immunoglobulin genes of GC B cells from the Peyer's patches and spleens of older people revealed that the mechanism of somatic hypermutation is unaltered with age (12). However, in vivo studies in mice show that affinity maturation is impaired with age in response to immunisation, as shown by fewer high-affinity GC B cells and fewer antigen-specific plasma cells in the bone marrow of aged mice post-vaccination (13–15). This age-related defect in GC response and output is a result of a reduction in GC magnitude as well as impairment in the selection process (13–16).
Since an effective humoral response during vaccination relies on the coordinated interaction of multiple cell types, a multitude of factors can contribute to age-related defects in vaccine responses. Previous studies have shown that B cells from older people and aged mice have no intrinsic defects in responding to stimulation and differentiating into plasma cells (13, 17, 18). However, whether there are B cell-intrinsic defects in the process of affinity maturation remains unclear. In this study, we tracked the response over time of antigen-specific B cells derived from 6-12 weeks old young adult and >90 weeks old aged B1-8i B cell receptor transgenic mice transferred into young recipient mice, following immunisation. B cells from aged mice had no defects in undergoing class-switch recombination, nor in becoming GC B cells or plasmablasts, compared to those from young adult mice. We also show that B cells derived from aged B1-8i mice were equally able to upregulate cMyc in the GC, suggesting no intrinsic defects in their ability to receive positive selection signals. Sequencing of the VH186.2 heavy chain region of NP-specific GC B cells derived from young and aged B1-8i mice revealed no age-related intrinsic defects in the rate of somatic hypermutation nor their ability to acquire the affinity-enhancing W33L mutation. Conversely, NP-specific GC B cells from young donor B1-8i mice displayed defects in somatic mutation frequency and the acquisition of the W33L mutation when transferred into aged recipient mice. This highlights that the poor quality of the GC response in ageing is not due to B cell-intrinsic impairments. Rather, B cell-extrinsic factors are bigger contributors to age-related impairments in affinity maturation in response to immunisation.
Materials and Methods
Mouse Husbandry and Maintenance
B1-8i BCR-Tg (19) and WT C57BL/6 mice were bred and maintained in the Babraham Institute Biological Support Unit (BSU), where B1-8i Tg mice were also aged. No primary pathogens or additional agents listed in the FELASA recommendations (20) were detected during health monitoring surveys of the stock holding rooms. Ambient temperature was ~19-21°C and relative humidity 52%. Lighting was provided on a 12 hr light: 12 hr dark cycle including 15 min ‘dawn’ and ‘dusk’ periods of subdued lighting. After weaning, mice were transferred to individually ventilated cages with 1–5 mice per cage. Mice were fed CRM (P) VP diet (Special Diet Services) ad libitum and received seeds (e.g. sunflower, millet) at the time of cage-cleaning as part of their environmental enrichment. All mouse experimentation was approved by the Babraham Institute Animal Welfare and Ethical Review Body. Animal husbandry and experimentation complied with existing European Union and United Kingdom Home Office legislation and local standards (PPL: P4D4AF812). Young adult B1-8i mice were 6-12 weeks old, and aged B1-8i mice were at least 90 weeks old when used for experiments. Young recipient C57BL/6 mice were 8-12 weeks old, and aged recipient C57BL/6 mice were at least 90 weeks old at the time of immunisation. The donor and recipient mice used in the experiments for Figures 1 to 4 were female while the donor and recipient mice used in the experiments for Figure 5 were male.
Adoptive transfers of B1-8i cells
Single cell suspensions of spleen and mesenteric and peripheral lymph nodes from young 6-12 weeks old adult or >90 weeks old aged B1-8i mice were obtained by pressing the tissues through a 70 μm mesh in PBS with 2% foetal bovine serum under sterile conditions. B cells were then enriched using the MagniSort Mouse B cell Enrichment Kit (#8804-6827-74 Thermo Fisher Scientific), according to the manufacturer's instruction. Cell numbers and viability were determined using a CASY TT Cell Counter (Roche). A small aliquot of enriched B cells was taken and stained to determine the percentage of NP-binding B cells by flow cytometry before cell transfer. The cell suspensions were then diluted in appropriate volumes of PBS to obtain a final concentration of 1 x 105 NP-binding B cells/mL. 100μL of 1 x 104 NP-binding B cells from young and aged donor B1-8i-Tg mice were injected intravenously into the tail of congenic WT recipients. Recipient mice were then immunised subcutaneously with NP-KLH/Alum, as detailed below, and draining inguinal LNs (iLNs) were collected at the indicated time points for flow cytometry.
Subcutaneous immunisations with NP-KLH/Alum
To induce GCs in iLNs, recipient C57BL/6 mice were immunised subcutaneously on both flanks on the lower part of the body with NP-KLH (4-hydroxy-3-nitrophenylacetyl (NP)-Keyhole Limpet Hemocyanin (KLH), #N-5060-25 Biosearch Technologies). NP-KLH was first diluted in PBS and the same volume of Imject™ Alum (ThermoScientific #77161) was added to reach a final concentration of 0.5mg/mL NP- KLH. After 30 min of vortexing, 100μL of emulsion were injected subcutaneously (s.c.) into the hind flanks of the experimental mice, which have received the intravenous transfer of donor B cells.
Phenotyping of B1-8i cells using Flow Cytometry
A small aliquot (1-2 x 106) of enriched B cells from the young adult or aged donor mice was stained for phenotypic analysis prior to transfer. Briefly, cells were stained in 96-well v-bottom plates. Surface antibody staining was performed for 2 hours at 4 °C in PBS with 2% FCS, in the presence of 2.4G2 hybridoma (ATCC hb-197) tissue culture supernatant and Rat IgG isotype control (Invitrogen, #10700) to block non-specific binding via Fc interactions. Following incubation, samples were washed twice with PBS with 2% FCS, before they were fixed with the eBioscience Foxp3/Transcription Factor Staining Buffer (#00-5323-00) for 30 min at 4°C. The samples were then washed twice with 1 x permeabilisation buffer (eBioscience #00-8333-56) and stained with the intracellular antibody mix in permeabilisation buffer at 4°C overnight. Following overnight incubation, the samples were washed twice with 1 x permeabilisation buffer and washed once with PBS with 2% FCS, before they were acquired on an Aurora Spectral Cytometer (Cytek). Cells for single colour controls were prepared in the same manner as the fully stained samples. The antibodies used for the surface and intracellular staining are listed in Table 1.
Table 1. List of antibodies used for flow cytometric analysis of B1-8i cells pre-transfer.
Antibodies used in Surface Stain | Company and Clone | Identifier | Dilution | |
---|---|---|---|---|
1 | BUV563-coupled anti-mouse CXCR4 | BD (2B11/CXCR4) | 741313 | 1:400 |
2 | BV480-coupled anti-mouse IgG1 | BD (A85-1) | 746811 | 1:500 |
3 | BV785-coupled anti-mouse CXCR5 | BioLegend (L138D7) | 145523 | 1:200 |
4 | PE-coupled NP | Biosearch Technologies | N-5070-1 | 1:100 |
5 | PE-Cy7-coupled anti-mouse CD40 | BioLegend (3/23) | 124622 | 1:2000 |
6 | A700-coupled anti-mouse MHCII IA/IE | Invitrogen (M5/114.15.2) | 56-5321-82 | 1:2000 |
7 | ViaKrome808-coupled Live/Dead | Beckman Coulter | C36628 | 1:2000 |
8 | APC-Fire750-coupled anti-mouse CD86 | BioLegend (GL-1) | 105045 | 1:1000 |
Antibodies used in Intracellular Stain | Company and Clone | Identifier | Dilution | |
9 | BUV395-coupled anti-mouse CD11c | BD (N418) | 744180 | 1:1000 |
10 | BUV496-coupled anti-mouse CD23 | BD (B3B4) | 741058 | 1:2000 |
11 | BUV661-coupled anti-mouse CD19 | BD (1D3) | 612971 | 1:2000 |
12 | BUV737-coupled anti-mouse CD62L | BD (MEL-14) | 612833 | 1:1000 |
13 | Pacific Blue-coupled IRF4 | BioLegend (IRF4.3E4) | 646418 | 1:1000 |
14 | BV510-coupled anti-mouse CD21 | BD (7G6) | 747764 | 1:2000 |
15 | AF488-coupled anti-mouse GL7 | Invitrogen (GL-7) | 53-5902-82 | 1:1000 |
16 | Spark YG593-coupled anti-mouse CD11b | BioLegend (M1/70) | 101282 | 1:2000 |
17 | Alexa Fluor 594-coupled anti-mouse Tbet | BioLegend (4B10) | 644833 | 1:500 |
18 | PE-Fire 640-coupled anti-mouse CD38 | BioLegend (90) | 102744 | 1:2000 |
19 | Spark NIR685-coupled anti-mouse IgD | BioLegend (11-26c.2a) | 405750 | 1:2000 |
20 | APCFire810-coupled anti-mouse B220 | BioLegend (RA3-6B2) | 103278 | 1:1000 |
Flow Cytometric Analysis of iLNs post-immunisation
Cell suspensions of the dissected iLNs from the recipient mice were obtained by pressing the tissues through a 70 μm mesh in PBS with 2% FCS. Cell numbers and viability were determined using a CASY TT Cell Counter (Roche). Cells were washed and transferred into 96-well v-bottom plates. Surface antibody staining was performed for 2 hours at 4 °C in PBS with 2% FCS, in the presence of 2.4G2 hybridoma (ATCC hb-197) tissue culture supernatant and Rat IgG isotype control (Invitrogen, #10700) to block non-specific binding via Fc interactions. Following incubation, samples were washed twice with PBS with 2% FCS and acquired on an Aurora Spectral Cytometer (Cytek). Cells for single colour controls were prepared in the same manner as the fully stained samples. Flow cytometry data were analysed using FlowJo v10 software (Tree Star). The antibodies used are listed in Table 2.
Table 2. List of antibodies used for flow cytometric analysis of mouse LN cells post-immunisation.
Antibodies | Company and Clone | Identifier | Dilution | |
---|---|---|---|---|
1 | BUV661-coupled anti-mouse CD19 | BD (1D3) | 565076 | 1:2000 |
2 | BUV737-coupled anti-mouse CD4 | BD (RM4-5) | 612843 | 1:500 |
3 | BUV615-coupled anti-mouse PD1 | BD (RMP1-30) | 752354 | 1:500 |
4 | BV421-coupled anti-mouse CXCR5 | BioLegend (L138D7) | 145512 | 1:200 |
5 | BV480-coupled anti-mouse IgG1 | BD (A85-1) | 746811 | 1:500 |
6 | BV510-coupled anti-mouse CD95 | BD (Jo2) | 563646 | 1:200 |
7 | BV605-coupled anti-mouse CD86 | BioLegend (GL-1) | 105037 | 1:200 |
8 | BV711-coupled anti-mouse CD138 | BioLegend (281-2) | 142519 | 1:500 |
9 | Alexa Fluor 532-coupled IgM | Conjugated in house (Monoclonal antibody from Thermo Fisher Scientific, clone II/41) | 1:500 | |
10 | PerCPCy5.5-coupled anti-mouse CD38 | BioLegend (90) | 102722 | 1:400 |
11 | PE-coupled NP | Biosearch Technologies | N-5070-1 | 1:100 |
12 | PE eFluor610-coupled anti-mouse CD45.1 | Invitrogen (A20) | 61-0453-82 | 1:200 |
13 | PE-Cy7-coupled anti-mouse GL-7 | BioLegend (GL-7) | 144620 | 1:200 |
14 | APC-coupled CXCR4 | BioLegend (L276F12) | 146508 | 1:400 |
15 | Spark NIR685-coupled anti-mouse IgD | BioLegend (11-26c.2a) | 405750 | 1:1000 |
16 | APCFire810-coupled anti-mouse B220 | BioLegend (RA3-6B2) | 103278 | 1:500 |
17 | A700-coupled anti-mouse CD45.2 | BioLegend (104) | 109822 | 1:400 |
18 | APC-e780-coupled Live/Dead | eBioscience | 65-0865-14 | 1:10000 |
VH186.2 PCR and Sequencing of Single Cell Sorted GC B cells
Cell suspensions from iLNs were obtained as described above, and stained with the antibodies listed in Table 3 for 2 hours at 4 °C in PBS with 2% FCS, in the presence of 2.4G2 hybridoma (ATCC hb-197) tissue culture supernatant and Rat IgG isotype control (Invitrogen, #10700) to block non-specific binding via Fc interactions. Anti-mouse CD3, CD4, CD11c, Ly6c antibodies were included in the DUMP APC channel to gate out non-B cells. After incubation, samples were washed twice with PBS with 2% FCS, filtered and resuspended.
Table 3. List of antibodies used for fluorescence-activated cell sorting (FACS) of mouse cells.
Antibodies | Company and Clone | Identifier | Dilution | |
---|---|---|---|---|
1 | BUV661-coupled anti-mouse CD19 | BD (1D3) | 565076 | 1:500 |
2 | BV510-coupled anti-mouse CD45.2 | BioLegend (104) | 109838 | 1:500 |
3 | BV605-coupled anti-mouse IgG1 | BD (A85-1) | 563285 | 1:500 |
4 | BV785-coupled anti-mouse B220 | BioLegend (RA3-6B2) | 103246 | 1:500 |
5 | PerCPCy5.5-coupled anti-mouse CD38 | BioLegend (90) | 102722 | 1:500 |
6 | PE-coupled NP | Biosearch Technologies | N-5070-1 | 1:100 |
7 | PE-Cy7-coupled anti-mouse GL-7 | BioLegend (GL-7) | 144620 | 1:500 |
8 | APC-coupled anti-mouse CD3 | BioLegend (17A2) | 100236 | 1:500 |
9 | APC-coupled anti-mouse CD4 | eBioscience (GK1.5) | 17-0041-83 | 1:500 |
10 | APC-coupled anti-mouse CD11c | BioLegend (N418) | 117310 | 1:500 |
11 | APC-coupled anti-mouse Ly6c | Invitrogen (HK1.4) | 17-5932-80 | 1:500 |
12 | A700-coupled anti-mouse CD45.1 | BioLegend (A20) | 110724 | 1:500 |
13 | APC-e780-coupled Live/Dead | eBioscience | 65-0865-14 | 1:10000 |
This method was adapted from Natt and Espéli (21). CD45.1+ CD45.2- NP+ IgG1+ B220+ CD19+ CD38- GL7+ cells were single cell sorted into 96-well plates, containing 10μL of reverse transcription lysis buffer per well (2U/μL RNase inhibitor (#EO0381 Thermo Fisher Scientific), 4mM DTT (#43816 Sigma), 30ng/μL Random Hexamers (#SO142 Thermo Fisher Scientific), 1% NP40, 0.2X PBS), using the FACSAria™ Fusion sorter (BD Biosciences). Plates containing the sorted cells were then stored at -80°C. For reverse transcription, plates were placed in a thermocycler (BioRAD), where it is heated to 65 °C for 2min and cooled to 10 °C for 5min. 15μL of reverse transcription buffer containing 1mM dNTPs (#R0194 Thermo Fisher Scientific), 8mM DTT (#43816 Sigma), 0.2U/μL RNase inhibitor (#EO0381 Thermo Fisher Scientific) and 160U GoScript Reverse Transcriptase (Promega #A5004) was then added to each well. The thermocycling program is then continued, with the following settings: 22 °C for 10min, 37 °C for 30min, 90 °C for 6min. The prepared cDNA was stored at -20 °C.
For nested PCR, 2.5μL of the prepared cDNA was used. The PCR mix for the first round of PCR was made up using 10x PCR buffer, dNTP and Taq DNA polymerase from the HotStar Taq DNA polymerase kit QIAGEN(#203205) with 20 pmol of the following primers: forward-GCTGTATCATGCTCTTCTTG and reverse-GGATGACTCATCCCAGGGTCACCATGGAGT. Plates were placed in a thermocycler (BioRAD) with the following program: 95 °C for 15min, 94 °C for 3min, 39 cycles of 94 °C for 45sec, 50 °C for 1min and 72 °C for 1min, and finally 72 °C for 10min. The PCR product was then diluted 30 times in nuclease-free water. 1μL of the first PCR product was then used in the second round of PCR which was prepared with the HotStar Taq DNA polymerase kit (#203205 QIAGEN) and 20 pmol of the following primers: forward-GGTGTCCACTCCCAGGTCCA and reverse-CCAGGGGCCAGTGGATAGAC. The thermocycling program used for the second PCR was the same as the first. 5μL of the second PCR product was used to verify positive clones on a 1% agarose gel. The PCR products containing positive clones were purified using the ExoSAP-IT™ PCR Product Cleanup Reagent (#78201 Applied Biosystems) and purified samples were sent for Sanger sequencing to Source Bioscience, UK. Analysis was performed using an automated alignment pipeline in Perl that aligned sequences to the VH186.2 consensus sequence to identify the 33rd codon for each sample as well as the quantity of replacement and silent mutations for each sequence. Per sample calls were exported as a .csv for downstream analysis in the Prism v9 software (GraphPad).
Statistical Analysis
All experiments were performed twice or more (3-7 recipient mice per group). Statistical analysis was performed using the Prism v9 and v10 software (GraphPad). Differences between experimental groups were determined using paired Wilcoxon matched pairs signed rank test, unpaired Mann-Whitney U test or 2-way ANOVA with Sidak’s multiple comparisons test, where appropriate. p values were considered significant when <0.05.
Results
B cells in aged mice are less frequently of a follicular phenotype
The B1-8i adoptive transfer system was used in this study to interrogate if there are any cell-intrinsic defects in the ability of B cells from aged mice to undergo affinity maturation. About 10% of B cells from B1-8i mice contain the knock-in canonical B1-8 heavy chain (VH186.2, DFL16.1 and JH2) that, when combined with an Igλ light chain, produces an antibody with intermediate affinity for the hapten 4-hydroxy-3-nitrophenylacetyl (NP) (22). In order to check for phenotypic differences that might affect B cell responses to immunisation, NP-specific B cells from young adult (6-12 weeks old) and aged (>90 weeks old) B1-8i mice were first stained with a comprehensive flow cytometry panel to determine their Ig isotype and basal expression levels of markers prior to transfer. Aged B1-8i mice had on average 10% fewer IgD+ naïve B cells and follicular B cells (CD23hi CD21int) among NP-specific B cells, compared to young adult mice (Fig. 1a-b). Correspondingly, there was a tendency for aged mice to have higher proportions of marginal zone B cells (CD23- CD21+), CD23-CD21- cells, and CD11c+ atypical B cells among the NP-specific B cells (Fig. 1a-b). These age-related effects on B1-8i transgenic B cell subsets were also observed in the total B cell population (Supplementary Figure 1). We also assessed the expression of various proteins on the NP-binding B cells: chemokine receptors and trafficking molecules, CXCR4, CD62L, and CXCR5 (Fig. 1c-e), B cell activation markers, CD38, GL7, and IRF4 (Fig. 1f-h), atypical or age-associated B cell markers, CXCR3, CD11b, and CD11c (23) (Fig. 1i-k), and costimulatory molecules, CD86, CD40, and MHCII (Fig. 1l-n). Further, when total NP-binding B cells were gated into individual B cell subsets and these markers analysed, we likewise observed no significant age-dependent differences in the expression levels of these markers (Supplementary Figure 2).
NP-specific B cells from aged mice do not have intrinsic defects in becoming GC B cells
To determine if there are any cell-intrinsic defects by B cells from aged mice in responding to immunisation, equal numbers of NP-specific B cells from either a young adult or aged B1-8i mouse were adoptively transferred into young (8-12 weeks old) congenic wild-type recipient mice. Their responses were assessed in draining inguinal lymph nodes (iLNs) of recipient mice at days 6, 10, 14, 21, and 28 post-immunisation with NP conjugated to the Keyhole Limpet Hemocyanin protein (NP-KLH) in Alum (Fig. 2a). Across all timepoints, there was no significant difference in the percentage and number of NP-specific B cells derived from the young adult or aged donor mice in recipient iLNs (Fig. 2b). NP-specific B cells from aged mice also had no significant defects in class-switch recombination to IgG1 (Fig. 2c-d) or in becoming GC B cells (Fig. 2e-f). There was also no significant difference in the percentage and number of short-lived extrafollicular plasma cells derived from donor cells from aged mice, compared to those from the young adult mice (Fig. 2g-h). Together, this shows that there are no cell-intrinsic defects in the ability of NP-specific B cells from aged B1-8i mice in responding to stimulation and differentiating into plasma cells or GC B cells.
NP-specific B cells from aged mice receive positive selection signals in the light zone
Positive selection is a key process that primarily occurs in the LZ of the GC, and that is essential for affinity maturation. Using the aforementioned adoptive transfer system (Fig. 2a), the response of transferred B1-8i B cells, which carry a cMyc-GFP reporter gene, was assessed at the peak of the GC response, day 6 post-immunisation (Fig. 2e-f) (gating strategy shown in Fig. 3a). The cMyc+ GC B cells identified were predominantly of the LZ phenotype (CD86hi CXCR4+ GC B cells) (4) (Fig. 3b). NP-specific GC B cells and LZ GC B cells derived from aged mice showed no intrinsic defects in cMyc upregulation (Fig. 3c-d), suggesting that age does not diminish the ability of B cells to receive positive selection signals in a young microenvironment. This suggests that this mechanism that underpins affinity maturation is intact in B cells with age.
NP-specific B cells from aged mice undergo mutation and selection of high affinity clones
The ability of B cells from aged mice to undergo somatic hypermutation and acquire high-affinity mutations was investigated by sequencing the VH186.2 region of sorted donor-derived NP-specific GC B cells from the iLNs of young adult recipient mice at day 14 post-immunisation. Substitution of a tryptophan (W) with a leucine (L) at position 33 of the complementarity-determining region 1 (CDR1) of VH186.2 results in a tenfold increase in antibody affinity for NP (24). No significant difference was shown in the frequency of W33L mutation among sorted NP-specific IgG1+ GC B cells from young adult and aged donor mice (Fig. 4a-b). In addition, the frequency of mutations and the ratio of replacement to silent mutations were similar among GC B cells from young adult and aged mice (Fig. 4c-d). Together, this suggests that B cells from aged mice are equally functional in undergoing somatic hypermutation and receiving positive selection signals, and ultimately producing GC B cell clones with affinity-enhancing mutations in a young microenvironment.
NP-specific B cells from young mice have fewer mutations and high-affinity clones in GCs when transferred into aged mice
Since B cells from aged mice were capable of undergoing affinity maturation, we hypothesised that B cell-extrinsic factors contribute to the age-related impairments observed after immunisation. NP-specific B cells from young adult B1-8i mice were adoptively transferred into young (8-12 weeks old) or aged (>90 weeks old) congenic wild-type recipient mice, and the B cell response was analysed at day 14 post-immunisation with NP-KLH in Alum (Fig. 5a). NP-binding B cells were able to participate in the GC response in both adult and aged recipient mice (Fig. 5b), enabling the assessment of somatic hypermutation and acquisition of high-affinity variants by sequencing. Sorted NP-specific IgG1+ GC B cells from young adult donor mice showed significant defects in their ability to acquire the affinity-enhancing W33L mutation when transferred into aged recipient mice, compared to those transferred into young mice (Fig. 5c-d). Furthermore, donor-derived GC B cells in aged recipient mice had significantly lower rates of mutation in the VH186.2 region (Fig. 5e) and lower ratio of replacement to silent mutations (Fig. 5f) than those in young recipients. Together, this shows that an aged microenvironment is a key contributor to defects in affinity maturation upon immunisation.
Discussion
In this study, we used an in vivo adoptive transfer system to show that B cells from aged mice did not exhibit cell-intrinsic defects in affinity maturation post-immunisation, and that the aged microenvironment has a dominant role in driving age-related impairments. We first showed that ageing results in a reduction in the percentage of naïve B cells and follicular B cells, and a concomitant increase in the proportions of marginal zone B cells and CD11c+ atypical B cells in the lymph nodes of B1-8i mice. These trends are consistent with previous reports in the spleens of aged mice, suggesting global changes in B cell subset proportions with age across organs (23, 25). Follicular B cells are known to dominate T-dependent responses to protein antigens by differentiating into short-lived extrafollicular plasma cells or GC-derived long-lived plasma cells (26). In contrast, marginal zone B cells and CD11c+ atypical B cells have been shown to rapidly differentiate into short-lived plasmablasts in a GC-independent manner (27, 28). This might account for the trend towards an increase in plasmablasts derived from B cells from aged mice early post-immunisation observed in this study and in previous work (17). Nevertheless, despite a lower proportion of follicular B cells among transferred NP-specific B cells from aged mice, NP-specific B cells from aged mice were not defective in becoming plasma cells or GC B cells, compared to those from young adult mice. B cells from aged mice also had no intrinsic defects in class-switching to IgG1+ cells post-immunisation, consistent with previous work (17, 18, 29). While we previously observed that B cells from aged SWHEL mice mounted a smaller early GC response compared to those from young adult mice (17), we did not observe the same delayed kinetics in this system, suggesting some differences attributed to the model used. Some factors that might contribute to this discrepancy include differences in antigen used that might result in distinct downstream BCR signalling following stimulation, and also differences in the organ analysed, spleens in the SWHEL model and iLNs in the B1-8i model used here. Nevertheless, in both transfer systems, antigen-specific B cells from aged mice did not have intrinsic defects in mounting a peak GC response, implicating B cell-extrinsic factors as causal in age-dependent defects in GC formation and magnitude.
Here we also showed that NP-specific GC B cells derived from B cells of aged mice were equally able to upregulate cMyc as those from young adult mice. cMyc expression is induced in GC B cells selected for their favourable BCRs which allows their cyclic reentry into the dark zone for further proliferation and somatic hypermutation (4, 6). The lack of defects in cMyc upregulation shown here indicated that B cells from aged mice are able to interact with and receive positive survival signals from Tfh cells and follicular dendritic cells normally. By contrast, when B1-8i B cells from young adult mice are transferred into aged recipients, cMyc upregulation is impaired (14). This is consistent with the data shown here that it is the aged microenvironment, rather than the cell-intrinsic changes with age in B cells, that is responsible for altered positive selection in the GC.
One limitation to our study is that the model system used, involving B cells with transgenic BCRs, is unable to account for B cell-intrinsic changes in BCR repertoire, which has been shown to contract with age (30, 31). Reconstitution of B10 SCID mice with polyclonal B cells from aged mice was previously shown to result in lower mutation frequencies in the VH sequences, compared to reconstitution with B cells from young mice (13). This might hint at a B cell-intrinsic defect in somatic hypermutation with age, although the number of sequences analysed in the study (13) were considerably lower (a total of 17 to 40 sequences analysed per group) than what was analysed here. As such, whether age-related changes in BCR repertoire affect B cells’ ability to undergo affinity maturation remains to be characterised. Another limitation to our study is that the B cell response here is driven by the NP hapten, and thus the response of aged B cells to complex proteins remains unclear. A previous study on influenza virus vaccination has shown that activated B cells from older people tend to target highly conserved but less potent epitopes compared to those from younger people in response to drifted strains of influenza virus, due to reduced rates of de novo somatic hypermutation (11). Whether this defect in adaptability in response to complex immunogens like influenza virus is driven by B cell-intrinsic changes with age remains to be understood.
Using the same B1-8i adoptive transfer model, we also showed that NP-specific GC B cells from young donor mice had reduced rates of somatic hypermutation, and lower frequencies of replacement mutations and the affinity-enhancing W33L mutations upon transfer into aged mice, suggesting impairments in the ability of young B cells to undergo affinity maturation in an aged environment. This is consistent with a previous report of NP-specific GC B cells showing reduced cMyc expression in aged recipient mice following immunisation (14). Together, this suggests that an aged microenvironment results in defects in the ability of B cells to undergo processes of selection and somatic hypermutation, to ultimately produce high-affinity clones during immunisation. Some contributing factors in the aged microenvironment include defects in Tfh cell help in the GC and changes in follicular dendritic cells in ageing (32).
Our results collectively reveal that B cells from aged mice have no intrinsic defects in going through the cellular process that underpins affinity maturation in the GC following immunisation, when the B cell receptor is fixed. This implicates B cell-extrinsic factors as the key contributors to defects in the GC response and humoral immunity with age. Vaccine strategies aimed at improving vaccine responses in older people should therefore be targeted towards improving the aged microenvironment, for example by rejuvenating Tfh differentiation and boosting stromal cell responses, to promote optimal B cell responses (33, 34).
Supplementary Material
Key Points.
Aged GC B cells can undergo positive selection in young mice upon immunisation.
Aged GC B cells acquire high-affinity mutations post-immunisation in young mice.
B cells from young mice have fewer high-affinity mutations in aged hosts.Introduction
Acknowledgements
We acknowledge the contribution of the Babraham Institute Biological Support Unit staff, who performed the in vivo treatments of our animals and took care of animal husbandry. We thank the staff of the Babraham Flow Cytometry for their technical support.
Funding support information
This study was supported by funding from the Biotechnology and Biological Sciences Research Council (BB/W001578/1, BBS/E/B/000C0407, BBS/E/B/000C0427 and the Campus Capability Core Grant to the Babraham Institute). J.L.L is supported by a National Science Scholarship (PhD) by the Agency for Science, Technology and Research, Singapore. S.M.G is supported by the European Union’s Horizon 2020 research and innovation program “ENLIGHT-TEN+” under the Marie Sklodowska-Curie grant agreement No. 955321. M.A.L. is an EMBO Young Investigator and a Lister Institute Prize Fellow.
Footnotes
Author Contributions
J.L.L. designed the study, performed experiments, analysed data, and wrote the manuscript. S.I., A.S.C., S.M.G. assisted with experiments. M.A.L. designed the study, wrote the manuscript, obtained funding, and oversaw the project. All authors read and edited the manuscript, and contributed intellectually to this study.
References
- 1.Eisen HN, Siskind GW. Variations in Affinities of Antibodies during the Immune Response. Biochemistry. 1964;3:996–1008. doi: 10.1021/bi00895a027. [DOI] [PubMed] [Google Scholar]
- 2.Nussenzweig V, Benacerraf B. Antihapten Antibody Specificity And L Chain Type. Journal of Experimental Medicine. 1967;126:727–743. doi: 10.1084/jem.126.4.727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mesin L, Ersching J, Victora GD. Germinal Center B Cell Dynamics. Immunity. 2016;45:471–482. doi: 10.1016/j.immuni.2016.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dominguez-Sola D, Victora GD, Ying CY, Phan RT, Saito M, Nussenzweig MC, Dalla-Favera R. The proto-oncogene MYC is required for selection in the germinal center and cyclic reentry. Nat Immunol. 2012;13:1083–1091. doi: 10.1038/ni.2428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Victora GD, Schwickert TA, Fooksman DR, Kamphorst AO, Meyer-Hermann M, Dustin ML, Nussenzweig MC. Germinal center dynamics revealed by multiphoton microscopy with a photoactivatable fluorescent reporter. Cell. 2010;143:592–605. doi: 10.1016/j.cell.2010.10.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Calado DP, Sasaki Y, Godinho SA, Pellerin A, Kochert K, Sleckman BP, de Alboran IM, Janz M, Rodig S, Rajewsky K. The cell-cycle regulator c-Myc is essential for the formation and maintenance of germinal centers. Nat Immunol. 2012;13:1092–1100. doi: 10.1038/ni.2418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hill DL, Whyte CE, Innocentin S, Le Lee J, Dooley J, Wang J, James EA, Lee JC, Kwok W, Zand M, Liston A, et al. Impaired HA-specific T follicular helper cell and antibody responses to. Elife. 2022;10:e70554. doi: 10.7554/eLife.70554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Collier DA, Ferreira IATM, Kotagiri P, Datir R, Lim E, Touizer E, Meng B, Abdullahi A, CITIID-NIHR BioResource COVID-19 Collaboration. Elmer A, Kingston N, et al. Age-related immune response heterogeneity to SARS-CoV-2 vaccine BNT162b2. Nature. 2021;596:417–422. doi: 10.1038/s41586-021-03739-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Li S, Sullivan NL, Rouphael N, Yu T, Banton S, Maddur MS, McCausland M, Chiu C, Canniff J, Dubey S, Liu K, et al. Metabolic Phenotypes of Response to Vaccination in Humans. Cell. 2017;169:862–877.:e17. doi: 10.1016/j.cell.2017.04.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Howard WA, Gibson KL, Dunn-Walters DK. Rejuvenation Research. Vol. 9. Mary Ann Liebert, Inc; 2 Madison Avenue Larchmont, NY 10538 USA: 2006. Antibody quality in old age; pp. 117–125. [Google Scholar]
- 11.Henry C, Zheng NY, Huang M, Cabanov A, Rojas KT, Kaur K, Andrews SFA, Palm KE, Chen YQ, Li Y, Hoskova K, et al. Influenza Virus Vaccination Elicits Poorly Adapted B Cell Responses in Elderly Individuals. Cell Host Microbe. 2019;25:357–366.:e6. doi: 10.1016/j.chom.2019.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Banerjee M, Mehr R, Belelovsky A, Spencer J, Dunn-Walters DK. Age-and tissue-specific differences in human germinal center B cell selection revealed by analysis of IgVH gene hypermutation and lineage trees. Eur J Immunol. 2002 doi: 10.1002/1521-4141(200207)32:7<1947::AID-IMMU1947>3.0.CO;2-1. [DOI] [PubMed] [Google Scholar]
- 13.Yang X, Stedra J, Cerny J. Relative contribution of T and B cells to hypermutation and selection of the antibody repertoire in germinal centers of aged mice. Journal of Experimental Medicine. 1996;183:959–970. doi: 10.1084/jem.183.3.959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Silva-Cayetano A, Fra-Bido S, Robert P, Innocentin S, Burton A, Watson E, Lee J, Webb L, Foster W, McKenzie R, Bignon A, et al. Spatial dysregulation of T follicular helper cells impairs vaccine responses in ageing. Nat Immunol. 2023 doi: 10.1038/s41590-023-01519-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Han S, Yang K, Ozen Z, Peng W, Marinova E, Kelsoe G, Zheng B. Enhanced Differentiation of Splenic Plasma Cells but Diminished Long-Lived High-Affinity Bone Marrow Plasma Cells in Aged Mice. The Journal of Immunology. 2003;170:1267–1273. doi: 10.4049/jimmunol.170.3.1267. [DOI] [PubMed] [Google Scholar]
- 16.Miller C, Kelsoe G. Ig VH hypermutation is absent in the germinal centers of aged mice. J Immunol. 1995;155:3377–84. [PubMed] [Google Scholar]
- 17.Lee JL, Fra-Bido SC, Burton AR, Innocentin S, Hill DL, Linterman MA. B cell-intrinsic changes with age do not impact antibody-secreting cell formation but delay B cell participation in the germinal centre reaction. Aging Cell. 2022;21 doi: 10.1111/acel.13692. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Dailey RW, Eun SY, Russell CE, Vogel LA. B cells of aged mice show decreased expansion in response to antigen, but are normal in effector function. Cell Immunol. 2001;214:99–109. doi: 10.1006/cimm.2001.1894. [DOI] [PubMed] [Google Scholar]
- 19.Sonoda E, Pewzner-Jung Y, Schwers S, Taki S, Jung S, Eilat D, Rajewsky K. B Cell Development under the Condition of Allelic Inclusion. Immunity. 1997;6:225–233. doi: 10.1016/s1074-7613(00)80325-8. [DOI] [PubMed] [Google Scholar]
- 20.Mähler Convenor M, Berard M, Feinstein R, Gallagher A, Illgen-Wilcke B, Pritchett-Corning K, Raspa M. FELASA recommendations for the health monitoring of mouse, rat, hamster, guinea pig and rabbit colonies in breeding and experimental units. Lab Anim. 2014;48:178–192. doi: 10.1177/0023677213516312. [DOI] [PubMed] [Google Scholar]
- 21.Natt J, Espeli M. Assessing T follicular helper cell function in vivo: antigen-specific B cell response to hapten and affinity maturation. Methods Mol Biol. 2015;1291:87–101. doi: 10.1007/978-1-4939-2498-1_8. [DOI] [PubMed] [Google Scholar]
- 22.Shih T-AY, Roederer M, Nussenzweig MC. Role of antigen receptor affinity in T cell-independent antibody responses in vivo. Nat Immunol. 2002;3:399–406. doi: 10.1038/ni776. [DOI] [PubMed] [Google Scholar]
- 23.Rubtsov AV, Rubtsova K, Fischer A, Meehan RT, Gillis JZ, Kappler JW, Marrack P. Toll-like receptor 7 (TLR7)-driven accumulation of a novel CD11c+ B-cell population is important for the development of autoimmunity. Blood. 2011;118:1305–1315. doi: 10.1182/blood-2011-01-331462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Allen D, Simon T, Sablitzky F, Rajewsky K, Cumano A. Antibody engineering for the analysis of affinity maturation of an anti-hapten response. EMBO J. 1988;7:1995–2001. doi: 10.1002/j.1460-2075.1988.tb03038.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Turner VM, Mabbott NA. Ageing adversely affects the migration and function of marginal zone B cells. Immunology. 2017;151:349–362. doi: 10.1111/imm.12737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Goodnow CC, Vinuesa CG, Randall KL, Mackay F, Brink R. Control systems and decision making for antibody production. Nat Immunol. 2010;11:681–688. doi: 10.1038/ni.1900. [DOI] [PubMed] [Google Scholar]
- 27.Gaudette BT, Roman CJ, Ochoa TA, Gomez Atria D, Jones DD, Siebel CW, Maillard I, Allman D. Resting innate-like B cells leverage sustained Notch2/mTORC1 signaling to achieve rapid and mitosis-independent plasma cell differentiation. J Clin Invest. 2021;131 doi: 10.1172/JCI151975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Perez-Mazliah D, Gardner PJ, Schweighoffer E, McLaughlin S, Hosking C, Tumwine I, Davis RS, Potocnik AJ, Tybulewicz VL, Langhorne J. Plasmodium-specific atypical memory B cells are short-lived activated B cells. Elife. 2018;7 doi: 10.7554/eLife.39800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Russell Knode LM, Park H-S, Maul RW, Gearhart PJ. B cells from young and old mice switch isotypes with equal frequencies after ex vivo stimulation. Cell Immunol. 2019;345:103966. doi: 10.1016/j.cellimm.2019.103966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Tabibian-Keissar H, Hazanov L, Schiby G, Rosenthal N, Rakovsky A, Michaeli M, Shahaf GL, Pickman Y, Rosenblatt K, Melamed D, Dunn-Walters D, et al. Aging affects B-cell antigen receptor repertoire diversity in primary and secondary lymphoid tissues. Eur J Immunol. 2016;46:480–492. doi: 10.1002/eji.201545586. [DOI] [PubMed] [Google Scholar]
- 31.Gibson KL, Wu YC, Barnett Y, Duggan O, Vaughan R, Kondeatis E, Nilsson BO, Wikby A, Kipling D, Dunn-Walters DK. B-cell diversity decreases in old age and is correlated with poor health status. Aging Cell. 2009 doi: 10.1111/j.1474-9726.2008.00443.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Stebegg M, Bignon A, Hill DL, Silva-Cayetano A, Krueger C, Vanderleyden I, Innocentin S, Boon L, Wang J, Zand MS, Dooley J, et al. Rejuvenating conventional dendritic cells and T follicular helper cell formation after vaccination. Elife. 2020;9:e52473. doi: 10.7554/eLife.52473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Denton AE, Dooley J, Cinti I, Silva-Cayetano A, Fra-Bido S, Innocentin S, Hill DL, Carr EJ, Mckenzie ANJ, Liston A, Linterman MA. Targeting TLR4 during vaccination boosts MAdCAM-1 + lymphoid stromal cell activation and promotes the aged germinal center response. Sci Immunol. 2022;7:18. doi: 10.1126/sciimmunol.abk0018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Linterman MA. Age-dependent changes in T follicular helper cells shape the humoral immune response to vaccination. Semin Immunol. 2023;69:101801. doi: 10.1016/j.smim.2023.101801. [DOI] [PubMed] [Google Scholar]
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