Summary
Re-exposure to antigen generates abundant antibody responses and drives the formation of secondary germinal centers (GCs). Recall GCs in mice consist almost entirely of naïve B cells, whereas recall antibodies derive overwhelmingly from memory B cells. Here we examined this division between cellular and serum compartments. After repeated immunization with the same antigen, tetramer analyses of recall GCs revealed a marked decrease in the ability of B cells in these structures to bind antigen. Boosting with viral variant proteins restored antigen binding in recall GCs, as did ablation of primary-derived antibody-secreting cells through deletion of Prdm1, suggesting suppression of GC recall responses by pre-existing antibody. In hapten-carrier experiments in which B and T cell specificities were uncoupled, memory T cell help allowed B cells with undetectable antigen binding to access GCs. Thus, antibody-mediated feedback steers recall GC B cells away from previously targeted epitopes and enables specific targeting of variant epitopes, with implications for vaccination protocols.
eTOC Blurb
Recall antibody responses are critical for resistance to recurring pathogens and underlie the protection afforded by most vaccines. Schiepers et al. find that antibody-mediated feedback steers recall germinal center B cells away from previously targeted epitopes and enables specific targeting of variant epitopes, thereby broadening the antibody response.
Graphical Abstract

Introduction
Recall antibody responses are critical for resistance to recurring pathogens and essential to the protection afforded by most vaccines,1–4 and repeated immunization with the same or variant antigens is a staple of our current approach to vaccination. These responses, whose titers often exceed those of primary antibodies by one or two orders of magnitude, are the result of the prolific expansion of prime-derived memory B cells (MBCs) that, upon re-exposure to an antigen, rapidly differentiate into plasmablasts and plasma cells, which we collectively refer to as antibody-secreting cells (ASCs). Several factors contribute to the magnitude and quality of recall antibody responses. Affinity maturation of B cells in primary germinal centers (GCs)5 leads to an increase in the affinity of GC-derived MBCs, which, when re-exposed to antigen, become high-affinity ASCs that are the dominant source of the antibodies elicited by boosting.3 High-affinity ASCs can also be exported directly from primary GCs,6 and the antibodies these cells secrete can shape subsequent B cell responses,7 among other things by blocking GC access by cells with the same epitope specificities.8–12 Finally, primary responses also produce expanded clones of memory CD4+ helper T cells, which provide abundant help to B cells upon boosting.13 Recall antibody responses are therefore the product of a complex interplay between the effects of B and T cell memory and those of circulating antibody.
In addition to boosting circulating antibody titers, repeated exposure to antigen also leads to the formation of recall GC reactions. These GCs can in principle be formed either by re-engagement of MBCs, allowing continued evolution of previously matured Igs, or by de novo recruitment of naïve B cell clones.14–16 Whereas the former would extend affinity maturation and allow for remodeling of B cell clones in response to viral variants, the latter would allow greater de novo engagement of naïve B cells, thus countering “original antigenic sin.”17–19 We recently identified two prominent but at face value contradictory features of how the mouse immune system navigates this choice.12,20 First, while MBCs are able to re-enter recall GCs to some extent,21–24 the large majority of recall GC B cells have no prior GC-experience.20 Thus, at the cellular level, secondary GCs appear to favor the de novo engagement of naïve B cells. In apparent contrast, analysis of antibody titers in serum using a molecular fate-mapping approach showed that recall serum antibodies originate overwhelmingly from MBC clones first expanded during priming, a dominance that persists even after multiple booster doses.12 Therefore, at the antibody level, recall responses primarily rely on reutilization of B cell clones originally expanded by the first antigen encounter. Recall immunization thus leads to a schism between a mostly de novo GC response a serum antibody response that is almost entirely primary-derived.
Here, we examined this apparent discrepancy and found that antibody-mediated feedback suppresses the ability of antigen-binding B cells to enter secondary GCs, resulting in the expansion of a B cell population that fails to detectably bind the immunizing antigen. Secondary GCs fail to form in the absence of antigen-specific memory CD4+ T cells, indicating that excess help from memory T cells enables the formation of GCs by normally suboptimal B cell clones. The negative effects of antibody feedback are alleviated by boosting with variant viral antigens, suggesting that pre-existing antibody may promote the focusing of recall GC responses on variant epitopes.
Results
Secondary GC B cells show impaired binding to antigen
We hypothesized that the failure of recall GCs to contribute to antigen-specific titers upon homologous boosting12 might be related to differences in their antigen-binding properties. To investigate this possibility, we followed a strategy we used previously to separate primary and secondary responses by anatomical location.20 We first immunized wild-type (WT) C57BL/6 mice or S1pr2-CreERT2.Rosa26Lox-Stop-Lox-tdTomato mice (S1pr2-Tomato, which allow us to fate-map primary GC B cells in a tamoxifen-dependent manner25) with recombinant hemagglutinin (HAPR8) in the right hind footpad (FP) to create a primary GC in the draining popliteal lymph node (pLN). One month later, we boosted these mice in the contralateral (left) FP with the same immunogen to generate a recall response (Fig. 1A). We then analyzed the left (boost-draining) pLN by flow cytometry 9 days after HAPR8 immunization, when GCs are fully formed in these mice as well as in “primary” control mice primed with the unrelated antigen ovalbumin (OVA) (Fig. 1B,C, Supplementary Fig. 1A). Whereas a large proportion of B cells in primary GCs bound HAPR8 tetramers, binding was near undetectable in secondary GCs (Fig. 1D,E). Fate-mapping of GC B cells in the S1pr2-Tomato mice by tamoxifen treatment during primary GC formation allowed us to measure HA binding separately in secondary GC B cells derived from naïve and memory precursors. Confirming our previous findings,20 secondary GCs consisted almost entirely of tdTomato− B cells, with only a minor (median 2.1%) contribution from memory-derived tdTomato+ cells (Fig. 1F). Tetramer binding was in most cases negligible also among this small tdTomato+ population (Fig. 1F, Supplementary Fig. 1A). Antigen binding among secondary GC B cells remained suppressed 18 days after homologous boosting (Supplementary Fig. 1B), indicating that affinity maturation is unable to rescue the poor antigen binding of recall GC B cells.
Figure 1: Secondary GC B cells show impaired binding to antigen.

(A) Experimental setup for panels (B-H). S1pr2-Tomato mice were primed in the right FP with HAPR8 or control OVA in alhydrogel adjuvant and boosted ~1 month later in the left FP with HAPR8-alhydrogel. Mice were given three doses of tamoxifen by oral gavage on the indicated days to label primary GC B cells and their MBC progeny. Data are from 2 independent experiments, with 8 mice in each experimental group. (B) Secondary GC formation in the draining pLN, 9 days post-boost. Gated on B cells, as shown in Supplementary Fig. 1A. (C) Summary of panel B, with each symbol representing one mouse. (D-E) HAPR8-tetramer binding among GC B cells (D), summarized in (E). (F) Memory GC re-entry as defined by percentage of secondary B cells that are primary-GC derived. (G) ELISA measurements of single-GC B cell culture supernatants, as detected by anti-Ig-HRP and coated with either anti-total Ig (left panel) or - HAPR8 (middle panel). The avidity index was calculated by dividing anti-HA by anti-Ig reactivity (right panel), and each Ig+ GC B culture was classified as either high-, low- or undetectably binding to HAPR8 as shown. GC B cells were sorted from S1pr2-Tomato mice as detailed in Supplementary Fig. 1C. (H) Aggregate data from (G). Numbers are: (Ig+ GC B cell cultures)/(HA binders). P-value is for chi-squared test between the indicated groups. (I) Experimental setup for panels (J-M). CD20-Tomato mice were given two doses of tamoxifen and primed intraperitoneally and in the right FP three days later with HAH3-alhydrogel. Mice were boosted ~3 months later in the left FP. Data are from 9 mice from two independent experiments. (J) Turnover of the peripheral naïve (IgM+ IgD+) B cell repertoire as assessed over time by flow cytometry of B cells obtained from the blood of CD20-Tomato mice. Gating strategy as shown in Supplementary Fig. 2A). Half-life was calculated using one-phase exponential decay analysis. (K) Flow cytometry of secondary GC B cell formation in the draining pLN, 9 days post-boost. (L) HAH3-tetramer binding among GC B cells in the boost-draining pLN as well as a positive-control plot showing a residual GC present in the right pLN (see Supplementary Fig. 2C). (M) Contribution of tdTomato+ B cells present at the time of priming to follicular (fol.) B cells, GC B cells, and ASCs in boosted pLNs. P-values are for repeated measure one-way ANOVA with Tukey’s multiple comparisons test. The solid line in all bar graphs represents the median. P-values in (C, E) and the left panel of (F) are for Student’s T tests, and in the right panel of (F) for paired-sample T test. Statistical testing in (E,F) was performed on log-transformed data, as Shapiro-Wilk testing indicated log-normal distribution.
To rule out that these findings represent an artifact of tetramer staining, we sorted single primary and secondary GC B cells onto tissue culture wells containing feeder cells expressing CD40L, BAFF, and IL-21 (NB-21) that allow single B cells to proliferate and produce assayable amounts of antibody26 (Supplementary Fig. 1C). We then assayed wells producing detectable amounts of Ig for their ability to bind HAPR8 by ELISA (Fig. 1G,H). To estimate binding affinity, we calculated the ratio of HAPR8 binding to Ig concentration, or “avidity index,”26 categorizing samples into 3 strata (below detection, low, and high binding). Although the majority of supernatants from all experimental groups did not react detectably with the immunizing antigen in this assay, reactivity was markedly less frequent among GC B cell supernatants from secondary compared to primary GCs, which was true for both total GC and tdTomato+ sorted B cells (Fig. 1G,H). Thus, primary exposure to an antigen skews the binding properties of B cells recruited to secondary GCs, leading to loss of positivity in both tetramer binding and ELISA assays.
Poor antigen binding among recall GC B cells is not due to depletion of the naïve repertoire
A potential explanation for the skewed binding pattern of B cells in secondary GCs is that primary immunization may have depleted the naïve repertoire of B cells specific for the immunizing antigen. To rule this out, we allowed the naïve B cell pool time to re-form prior to boosting, using CD20-CreERT2.Rosa26Lox-Stop-Lox-tdTomato (CD20-Tomato) mice27 to measure naïve B cell turnover. We first fate-mapped the entire mature B cell compartment in these mice with two consecutive doses of tamoxifen (Fig. 1I). Three days later, when virtually all circulating IgM+IgD+ naïve B cells expressed tdTomato (Fig. 1J, Supplementary Fig. 2A), mice were immunized with HAH3 both intraperitoneally and in one footpad (Fig. 1I). The fraction of fate-mapped naïve B cells declined progressively thereafter, with a median of 51.1% and 30.9% cells labeled after 25 and 41 days respectively, yielding a calculated half-life of 21.7 days (Fig. 1J). Turnover slowed down after 6 weeks—possibly reflecting the existence of a long-lived IgM+IgD+ population—stabilizing at approximately 16.0% at 14 weeks post-tamoxifen, including a minor contribution of spontaneous Rosa26Lox-Stop-Lox-tdTomato recombination in the absence of tamoxifen estimated at 1.6% (Supplementary Fig. 2B). Boosting fate-mapped mice on the contralateral footpad at 3 months post-priming still generated GCs in which very few B cells (median 0.4%) were able to bind the HAH3 tetramer (in contrast to occasional residual primary GCs with high binding) (Fig. 1K,L, Supplementary Fig. 2C). Therefore, the decreased ability of secondary GC B cells to detectably bind the immunizing antigen is not due to depletion of antigen-binding precursors from the naïve pool by primary immunization.
Of note, these experiments also strengthen our previous finding that secondary GCs are composed almost exclusively of naïve- rather than memory-derived B cells:20 whereas recall ASCs were markedly enriched for tdTomato+ cells compared to follicular B cells in the same LN, indicative of their memory origin, the same was not true for secondary GC B cells, which were fate-mapped to the same extent as naïve B cells in the same mice (Fig. 1M). Thus, recall GCs are predominantly composed of B cells that had not yet been generated at the time of priming and are therefore unequivocally naïve- rather than memory-derived.
Poor antigen binding among recall GC B cells is caused by pre-existing antibody
Serum antibodies compete at the epitope level with naïve B cells of the same fine specificity, preventing their entry into GCs.7–10,23,28 We hypothesized that, if loss of antigen binding in recall GCs is related to this phenomenon, mice boosted heterologously with antigenically drifted HAs containing novel epitopes not targeted by primary antibody would generate secondary GCs with improved binding to antigen. To test this, we primed mice with HAFM1, an HA variant with 10% amino acid divergence from HAPR8, and boosted these mice with HAPR8 as above (Fig. 2A). In contrast to secondary GCs of homologously boosted mice, in which antigen-binding was again suppressed, HAPR8-binding was partially rescued in GCs of heterologously boosted mice (Fig. 2B–D). These results were corroborated by ELISA measurements on the supernatants of single-GC B cell cultures (Fig. 2E,F). Rescue of HAPR8-binders was also observed when mice were primed with HACA’09 and boosted with HAPR8 (representing a 20% amino acid-level divergence) (Fig. 2G–J).
Figure 2: Rescue of secondary GC B cell antigen binding by boosting with variant HAs.

(A) Experimental setup. WT C57BL/6 mice were primed in the right FP with HAPR8, HAFM1 or control OVA in alhydrogel adjuvant and boosted ~1 month later in the left FP with HAPR8-alhydrogel. Data is from 3 independent experiments with n=6 mice for OVA and HAFM1 primed groups each and n=7 for the HAPR8 primed group. (B-D) Secondary GC formation (B) and HAPR8-tetramer binding among GC B cells (C, D) in the draining pLN, 9 days post-HAPR8 boost. (E) ELISA of single-GC B cell culture supernatants sorted from C57BL/6 mice. Only Ig+ supernatants are shown. (F) Aggregate data from (E). Numbers are: (Ig+ GC B cell cultures)/(HA binders). (G) Experimental setup for (H-J). Mice were primed with HACA’09, HAPR8, or an irrelevant control (chicken gamma globulin, CGG) and boosted HAPR8 in the contralateral FP ~1 month later. Data are from 4–8 mice per group from at least two independent experiments. (H-J) Flow cytometry for secondary GC formation (H) and HAPR8-tetramer binding among GC B cells (I, J). The solid line in all bar graphs represents the median. P-values are for chi-square tests between indicated groups (F) and for significant (p<0.05) ordinary one-way ANOVA with Tukey’s multiple comparison tests on log-transformed data (D, J).
To formally test whether these differences were due to antibody-mediated feedback, we used AicdaCreERT2/+.Rosa26Confetti/Confetti.Prdm1flox/flox mice (Prdm1ΔGC), in which the gene required for ASC differentiation (Prdm1, encoding for the transcription factor Blimp-1) can be deleted in a tamoxifen-inducible manner from the cohort of B cells that responded to priming, rendering these cells and their descendants incapable of differentiating into antibody-secreting cells. In mice treated with tamoxifen between days 3–12 post immunization, ASCs were efficiently depleted, whereas GC formation and export of HA+Confetti+ MBCs were largely unaffected compared to AicdaCreERT2/+.Rosa26Confetti/Confetti.Prdm1+/+ (AID-Confetti29) control mice (Supplementary Fig. 3A). To induce secondary GCs, we boosted Prdm1ΔGC or AID-Confetti mice approximately 50 days after priming with HAPR8 in alhydrogel (Fig. 3A). Anti-HAPR8 IgG was reduced by 9.0 and 5.4-fold in Prdm1flox/flox compared to Prdm1+/+ mice prior to and after boosting, respectively (Fig. 3B). This partial depletion of antigen-specific antibodies resulted in a partial rescue of the secondary GC phenotype, with secondary GCs in Prdm1ΔGC mice containing a median of 14.3% HA-binding B cells compared 1.5% in control mice (Fig. 3C,D). HA-binding among secondary GC B cells showed a moderate but significant inverse correlation with anti-HA IgG titers in homologously-boosted Prdm1ΔGC mice (r2=0.40, p=0.021, Supplementary Fig. 3C) which became much stronger when Prdm1+/+ control mice were include in the calculation (r2=0.63, p<0.0001, Supplementary Fig. 3D). Thus, primary-derived antibodies directly inhibit the participation of high-affinity B cells in recall GCs.
Figure 3: Depletion of primary antibodies increases antigen-binding in secondary GCs.

(A) Experimental setup. AID-Confetti mice either Prdm1flox/flox (Prdm1ΔGC) or Prdm1-sufficient (“WT”) were primed in the right FP with HAPR8 or irrelevant CGG-alhydrogel, given 4 doses of tamoxifen by oral gavage between days 3 and 12 to fate-map the progeny of activated (AID-expressing) B cells and ablate Prdm1 in Prdm1ΔGC mice. All mice were boosted in the contralateral FP with HAPR8-alhdydrogel. Data are from 6–14 mice from two independent experiments. (B) Anti-HAPR8 IgG endpoint titers before and 1 week after boosting with HAPR8-alhydrogel as determined by ELISA. (C) Representative plots of GC formation (left panel, pre-gated on B cells) and HA-tetramer binding among GC B cells (right panel), in draining (left) pLN 1 week post-boost. (D, E) Quantification of data as in (C). (F) Representative plots showing HA binding among fate-mapped and non-fate-mapped GC B cells in Prdm1ΔGC mice. (G) Quantification of (F). The solid lines represent the median. P-values comparing Prdm1ΔGC and Prdm1-sufficient mice are for relevant one-way ANOVA with Tukey’s multiple comparisons (B and G, left panel), Student’s T tests (D, E) and paired-sample T test (G, right). See also Supplementary Fig. 3.
The presence of a fate-mapping Rosa26Confetti/Confetti allele in these mice also allowed us to assess the re-entry of MBCs into secondary GCs. The fraction of memory-derived B cells was significantly higher in Prdm1ΔGC mice (median 9.8%) compared to controls (median 0.93%) (Fig. 3D). Because Blimp-1-deficient B cells are precluded from differentiating into ASCs, loss of this factor may affect both MBC export from the primary GC and the decision of MBCs to re-enter GCs. These experiments therefore do not allow us to determine the extent to which antibody feedback is responsible for the increase in MBC-derived cells in secondary GCs. Nevertheless, most (>90%) of secondary GC B cells remained non-fate mapped—and are therefore of naïve origin—even when circulating antibody is depleted (Fig. 3E). Importantly, the large majority of HA+ GC B cells was not fate mapped in Prdm1ΔGC mice, indicating that recovery of HA-binding in these GCs was mostly due to enhanced recruitment of HA+ naïve B cells (Fig. 3F,G). We conclude that, while antibody-mediated feedback cannot explain the dominance of naïve-derived B cells in secondary GCs, it does account at least partially for the loss of antigen-binding among this population.
Memory T cells are required for recall GCs to form in the presence pre-existing antibody
A potential contributor to the ability of B cells with poor antigen binding capacity to enter recall GCs is the presence of a pre-expanded population of memory T cells, which would act by lowering the affinity threshold required for GC entry.30,31 To test this possibility, we employed a hapten-carrier model where T cell help can be de-coupled from B cell specificity. We induced GCs by footpad immunization with 4-hydroxy-3-nitrophenylacetyl (NP)-CGG in alhydrogel of WT mice previously primed in the opposite leg with OVA (primary group), NP-CGG (homologous recall group), or NP-OVA (carrier-switch group) (Fig. 4A). In both recall groups, antibodies and MBCs specific for the hapten NP will be present at the time of boosting, whereas memory T cells specific for the carrier protein CGG will only be present in the homologous recall group. As with protein immunization, NP-CGG induced abundant GCs in the homologous recall group, which displayed moderately but significantly reduced tetramer binding compared to primary GCs (Fig. 4B,C). Usage of Igλ+ B cells, characteristic of an anti-NP response, was also significantly reduced in secondary GCs, but remained enriched compared to the available B cell repertoire (which is ~5% Igλ+ in C57BL/6 mice32) (Supplementary Fig. 4A). More dramatically, secondary GC formation was severely suppressed in the carrier-switch group (Fig. 4B,C), indicating that help from naïve CGG-specific T cells is insufficient to overcome the negative effect of anti-NP antibody on GC formation. Moreover, ASC formation was markedly inhibited in carrier-switch mice compared to the homologous group (Fig. 4B,C), indicating that T cell help is required for the MBC to ASC transition in this setting. Notably, a CGG-specific GC response was not induced even in the carrier-switch group, in which CGG was not subject to epitope masking, possibly because NP-lation blocked access to immunodominant CGG antigens. Consistently with this, unhaptenated CGG was able to elicit a specific GC response when administered in conjunction with NP-CGG at the boost (Supplementary Fig. 4B,C). GCs remained suppressed at day 10 post immunization, although low numbers of non-NP and non-Igλ GC B cells began to be detectable at this point (Supplementary Fig. 4D). To test whether the inability of carrier-switch mice to generate recall GC and ASC responses could be directly attributed to the presence of anti-NP antibodies, we immunized Prdm1ΔGC and control AID-Confetti mice with OVA (primary group) or NP-OVA (carrier-switch group) and administered tamoxifen during the primary response to prevent ASC formation (Fig. 4D). NP-specific IgG titers were strongly if not fully depleted in Prdm1ΔGC mice compared to controls at both pre- and post-boost timepoints (6.3- and 7.3-fold reduction, respectively; Fig. 4E). The lack of boosting of serum anti-NP IgG titers from pre- to post-boost (Fig. 4E) is consistent with the impaired induction of ASCs in carrier-switch mice (Fig. 4C). In carrier-switch settings, boosting with NP-CGG resulted in significantly increased GC B cell and ASC populations in Prdm1ΔGC compared to Prdm1-sufficient mice (Fig. 4F), with anti-NP IgG titers inversely correlating with GC size (r2=0.43, P=0.0032, Supplementary Fig. 4E), indicating that a partial reduction in anti-NP antibodies partially rescues GC formation also in the absence of T cell memory (Fig. 4F). In this setting, depletion of antibodies led to no increase in the participation of MBCs in secondary GCs (Fig. 4G).
Figure 4: Memory T cells are required for secondary GC B cell formation in the presence of antibody feedback.

(A) Experimental setup for panels (B,C). C57BL/6 mice were boosted with NP-CGG in alhydrogel ~1 month after immunization in the contralateral FP with either OVA (primary group), NP-CGG (homologous recall group), or NP-OVA (carrier-switch group) adjuvanted with alhydrogel. Data are from 10–16 mice per group from at least three independent experiments. (B-C) Flow cytometry of lymphocytes in draining left pLN 6 days after boost. (B) Representative plots of ASCs and B cells, pre-gated on non-T cells (top row), GC formation (middle row) and NP- binding of GC B cells (bottom row) are shown, quantified in (C). (D) Experimental setup for panels (E-G). AID-Confetti mice either Prdm1flox/flox (Prdm1ΔGC) or Prdm1-sufficient (“WT”) were primed in the right FP with either OVA (primary group) or NP-OVA in alhydrogel (carrier-switch group) and administered tamoxifen 4 times between days 3 and 12 prior to boosting at day ~45 day in the left FP with NP-CGG in alhydrogel. Data are from 12–18 mice per group and from three independent experiments. (E) Anti-NP IgG endpoint titers before and 6 days after boosting as determined by ELISA. (F-G) Flow cytometry of draining pLN 6 days post-boost. GC formation (F, left panel), ASC induction (F, right panel) and MBC re-entry into secondary GCs (G) were quantified. (H) Experimental setup for (I). Similar as in (A-C), C57BL/6 mice were boosted with NP-OVA in alhydrogel ~1 month after immunization in the contralateral FP with either NP-OVA (homologous recall group) or NP-CGG (carrier-switch group) adjuvanted with alhydrogel. One day before boosting, 0, 5 or 50 × 104 T cells purified from monoclonal OT-II mice were transfer intravenously into carrier-switch group mice. Data are from 6–7 mice per group and from two independent experiments. (I) Flow cytometric analysis of GC (left) and ASC formation (right) 6 days after boosting with NP-OVA. The solid line in all bar graphs represents the median. The P-values represent significant (p<0.05) ANOVA with Tukey’s multiple comparisons (C, left and right panel; E; F; G and I), and Student’s T tests (C, middle panel) on log-transformed data. In (F,G,I), P-values are only shown for the most relevant comparisons (in G,H: comparisons between Prdm1ΔGC and Prdm1-sufficient carrier-switch recall mice). See also Supplementary Fig. 4.
Finally, we sought to confirm that the ability of secondary GCs to form in the face of antibody feedback is a consequence of the increased availability of helper T cells. To this end, we used adoptive transfer of monoclonal T cells to increase helper T cell availability prior to boosting in carrier-switch settings, where GCs fail to form (Fig. 4H). We primed mice with NP-CGG (carrier-switch) or NP-OVA (homologous recall), which we boosted one month later in the contralateral footpad with NP-OVA. Carrier-switch mice received either no adoptive transfer or a low (5 × 104) or high (5 × 105) number of congenically-marked (CD45.1) OVA-specific OT-II T cells one day prior to boosting (Fig. 4H, Supplementary Fig. 3F,G). Whereas formation of recall GCs and ASCs was again strongly suppressed in carrier-switch mice that did not receive OT-II cells, this was overcome by adoptive transfer of high, but not low, numbers of OT-II T cells (Fig. 4I), with the abundance of transfer-derived T cells correlating positively with GC size (r2=0.83, P<0.0001, Supplementary Fig. 3H). NP-binding remained low in all recall settings (Supplementary Fig. 3I). Thus, increasing T cell help overcomes the suppressive effect of antibody feedback on GC formation, but not on high-affinity B cell recruitment. We conclude that, in homologous boosting regimens, the increased availability of help from memory T cells allows GCs to rapidly form even in the presence of antibody-mediated feedback, but at the cost of a loss of effective antigen binding among recruited B cells.
Discussion
Collectively, our experiments support a model in which the binding properties of B cells in recall GCs are shaped by the opposing forces of antibody-mediated feedback and T helper cell memory. In agreement with prior studies,7–10,23,28,33 serum antibody exerts a suppressive effect by blocking access to GCs by naïve B cells with the same specificity. In the absence of pre-expanded memory T cell clones, as achieved experimentally in our carrier-switch experiments, circulating antibodies suppress the formation of GCs upon boosting. However, in the presence of memory T cell help, GCs form efficiently but are populated by B cells that bind antigen poorly if at all. We speculate that poor antigen binding among secondary GC B cells may in part be due to antibody-mediated masking of immunodominant epitopes directing these cells towards cryptic/non-immunodominant sites26 or degradation products,34 making them difficult to detect by tetramer staining. Alternatively, but not exclusively, excess T cell help may allow B cells with very low affinity for antigen (or even no affinity at all31) to efficiently access secondary GCs. Access of low-affinity B cells can be further increased by formation of multivalent complexes between antigen and pre-existing antibody.10 Our finding that secondary GCs elicited by NP boosting are enriched in B cells that are most likely NP-specific (given that they are Igλ+) yet fail to bind NP by flow cytometry is in line with this possibility. Low-affinity or otherwise altered antigen binding may also contribute to the failure of recall GC B cells to produce detectable antibody responses in serum,12 possibly because the antibody their progeny secrete is not of high enough affinity to be detected by conventional methods, or because the MBCs that recall GCs generate may fail to differentiate into ASCs upon subsequent boosting due to the strict competitive bottleneck present at this latter step.20
In contrast to homologous boosting, de novo B cell responses induced by variant antigens tend to target escape epitopes not masked by circulating antibody.12,35 Our findings suggest that antibody-mediated suppression of cross-reactive responses serves the critical function of specifically guiding de novo GCs towards variant-specific epitopes, thus weakening imprinting effects such as original antigenic sin.17,18 Within such a framework, the fundamental role of recall GCs, enforced by antibody-mediated feedback, would be to mature naïve-derived B cells specifically tailored to escape epitopes on viruses or other pathogens, rather than to allow secondary maturation of the memory repertoire. Our antibody depletion experiments indicate this would be achieved mainly by antibody-mediated suppression of naïve B cells with overlapping specificities, rather than by specifically blocking GC re-entry by MBCs. Along these same lines, the GCs with poor antigen binding that arise upon repeated boosting with the same antigen would represent aberrant byproducts of a system geared towards responding to heterologous rather than homologous challenge. The extent to which this framework applies in the human setting is yet to be fully determined. However, it is clear that circulating antibodies can suppress the generation of MBC responses specifically to overlapping epitopes,10,11 likely through recruitment of an altered B cell repertoire in GCs. Variant boosting should ultimately result in the induction of variant-specific serum antibody, and although humans appear to rely on primary-derived B cell clones to a greater extent than mice do36, repeated boosting with SARS-CoV-2 Omicron spike variants can elicit variant-specific antibody responses after repeated priming with WT spike, which inversely correlated with pre-existing antibody titers.37–40 Thus, although pre-existing antibody titers are likely to shape recall antibody responses also in humans, the extent to which antibody feedback on recall GCs leads to OAS-like suppression of de novo antibody responses remains to be determined.
Lastly, our experiments using CD20-Tomato mice rule out the possibility that our prior finding of inefficient recruitment of fate-mapped B cells to secondary GCs20 was due to failure of the S1pr2-CreERT2 or AicdaCreERT2 drivers to fate-map early, pre-GC MBCs. Because we could not rule this out in our previous study, we referred to the B cell precursors of secondary GCs as “likely naïve.”20 In our CD20-Tomato experiments, most B cell clones that populate secondary GCs had not even emerged from the bone marrow by the time of priming. These findings confirm that, at least in mice, the dominant B cell population in boost-induced recall GCs is indeed the progeny of truly naïve precursors.
Limitations of our study
The primary limitation of our study is our inability to determine the specificity, and therefore the ontogeny, of the non-binding B cells that populate secondary GCs. This “dark matter” is a common issue for the field (discussed in41), and one for which few if any definitive experimental solutions exist. In the context of our findings, this limitation does not allow us to determine the exact mechanism(s) by which pre-existing antibody alters the binding properties of secondary GC B cells. Moreover, the limited entry of MBCs into recall GCs appears to not be entirely attributable to antibody-mediated feedback, as the vast majority of secondary GCs remained naïve-derived in Prdm1ΔGC experiments in which primary antibodies were reduced. However, this genetic model is imperfect for this specific question, as it renders MBCs unable to differentiate into ASCs upon boost. Therefore, follow up studies in which antibodies are depleted without impairing Blimp-1 are warranted.
STAR Methods
RESOURCE AVAILABILITY
Lead Contact
Further information and requests for reagents should be directed to the Lead Contact Gabriel D. Victora, victora@rockefeller.edu.
Materials Availability
Plasmids to produce hemagglutinin used in this paper will be shared upon request.
Data and code availability
The data reported in this paper will be shared by the lead contact upon request.
This paper does not report an original code.
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
Experimental Model and Subject Details
Mice
Wild-type C57BL/6J (CD45.2), Rosa26Lox-Stop-Lox-tdTomato (AI1442) and Rosa26Confetti 43 mice were purchased from The Jackson Laboratory (strain numbers: 000664, 007914 and 017492, respectively). Strains that were kindly provided to us: AicdaCreERT2 21 by J.-C. Weill and C.-A. Reynaud (Université Paris-Descartes), S1pr2CreERT2 BAC-transgenic25 by T. Kurosaki and T. Okada (U. Osaka, RIKEN-Yokohama), CD20-CreERT227 by M. Shlomchik (U. Pittsburgh) and Prdm1flox/flox 44 by J. Boss (Emory University). OT-II TCR transgenic (Y-chromosome)45 CD45.1 mice were bred and maintained in our laboratory. All mice were held at the immunocore clean facility at the Rockefeller University under specific pathogen-free conditions. All mouse procedures were approved by the Rockefeller University’s Institutional Animal Care and Use Committee.
Cell lines
For HA protein production, suspension-adapted Chinese Hamster Ovary (CHO)-DG44 cells46 were grown in ProCHO5 medium (Lonza) at 37°C and 5% CO2. After transfection with HA-encoding plasmids, the temperature was lowered to 31°C. For single GC B cell cultures, NB-21.2D9 feeder cells26 were cultured DMEM at 37°C and 5% CO2 as described in more detail below.
Method Details
Immunizations and treatments
Immune responses were induced in 6–12-week-old male and female mice by subcutaneous immunization in the right FP with 5 μg antigen (for HA experiments) or 10 μg (for hapten-carrier experiments) supplemented with 1/3 volume alhydrogel adjuvant (Invivogen). In S1pr2-Tomato mice, the primary GC B cell response was fate-mapped by oral gavage of 200 μl tamoxifen (Sigma) dissolved in corn oil at 50 mg/ml, on days 4, 8 and 12. For the CD20-Tomato experiment, mice were given two doses of 250 μl tamoxifen prior to FP (5 μg) as well as intraperitoneal (20 μg) immunization with HAH3-alhydrogel. For Blimp-1-depletion experiments, 200 μl tamoxifen was given on days 3, 6, 9, and 12. Blood samples were collected in these mice pre and post-boost, via cheek puncture into microtubes prepared with clotting activator serum gel (Sarstedt). To induce recall B cell responses, mice were boosted in the contralateral (left) FP at the timepoints detailed in the figures and figure legends. For adoptive T cell transfer, spleens of male naïve CD45.1 OT-II mice were harvested and homogenized by filtering through a 70-μm cell strainer and red-blood cells were lysed with ACK buffer (Thermo Scientific). CD4+ T cells were isolated by negative selection using a cocktail of biotinylated antibodies targeting Ter119, CD11c, CD11b, CD25, B220, NK1.1, and CD8, followed by anti-biotin beads (Miltenyi Biotec), as per the manufacturer’s instructions. Subsequently, isolated CD4+ T cells were injected intravenously into CD45.2 C57BL/6J male recipients, at 100 μl PBS per mouse.
Generation of recombinant proteins
Recombinant HAs used for immunizations were produced in-house using a CHO cell protein expression system, as described previously.20 Cysteine residues were introduced into the HA sequence to create trimer-stabilizing disulfide bonds, as originally described by Ian Wilson’s lab.47 We produced HAPR8 (H1 A/Puerto Rico/08/1934, (mouse adapted)), HACA’09 (H1 A/California/07/2009) and HAFM1 (H1 A/Fort Monmouth/1/1947) previously,12,20 and for HAH3 (H3/A/Wisconsin/67/2005) the same procedure was followed, including the introduction of trimer-stabilizing mutations. For immunizations, C-terminal domains not native to HA (foldon, Avi-tag, His-tag) were removed by thrombin cleavage and HAs were subsequently FPLC-purified prior to storage in phosphate-buffered saline (PBS). For ELISA, non-thrombin treated FPLC-purified protein was used. HAPR8 tetramers for flow cytometry were generated by site-specific biotinylation of non-cysteine-stabilized treated HA protein containing the Y98F mutation that prevents sialic acid binding using BirA-500 ligase (Avidity), followed by Zeba desalting column purification (Thermo Fisher). Biotinylated HA was incubated with Streptavidin-BV421 in PBS for 30 min at room temperature at a molar ratio of 4 to 1 (HA-trimer to Streptavidin). The plasmid used for HA cloning and expression (pVRC8400) and HAH3 protein for tetramer construction were kindly provided by A. McDermott (VRC/NIAID/NIH). All other proteins were obtained commercially: NP-CGG, NP-OVA, OVA (Biosearch), CGG (Rockland Immunochemicals). CGG-tetramers were generated by biotinylating CGG using EZ-Link Sulfo-NHS-LC-LC-Biotin (Thermo Scientific), and after Zeba desalting column purification, incubating with Streptavidin-BV421 as described for HA-tetramers. To assess NP-binding, NP-PE (Biosearch Technologies) was used.
Flow cytometry and sorting
For flow cytometry and cell sorting, lymph node cell suspensions were obtained by mechanical disassociation with disposable micropestles (Axygen). Cells were resuspended in PBS supplemented with 0.5% BSA and 1 mM EDTA and incubated first with Fc-block (rat anti-mouse CD16/32, clone 2.4G2, Bio X Cell) for 30 min on ice and subsequently with various fluorescently-labeled antibodies (see Key Resource Table) for 30–60 min. Cells were filtered and washed with the same buffer before analysis on a BD FACS Symphony A5 cytometer or single-cell sorted using a BD FACS Symphony S6. Data were analyzed using FlowJo v.10 software.
KEY RESOURCES TABLE.
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Antibodies | ||
| Anti-B220 BV785 (clone RA3–6B2) | BioLegend | RRID: AB_11218795 |
| Anti-CD138 BV650 (clone 281–2) | BioLegend | RRID: AB_2650927 |
| Anti-CD16/32 (Fc block) (clone 2.4G2) | Bio-X-Cell | RRID: AB_2687830 |
| Anti-CD38 APC (clone 90/CD38) | BioLegend | RRID: AB_312933 |
| Anti-CD38 PECy7 (clone 90/CD38) | BioLegend | RRID: AB_2072892 |
| Anti-CD4 V500 (clone RM4–5) | BD Biosciences | RRID: AB_1937315 |
| Anti-CD45.2 AF700 (clone 104) | BioLegend | RRID: AB_493731 |
| Anti-CD8a V500 (clone CD8a 53–6.7) | BD Biosciences | RRID: AB_1937317 |
| Anti-CD95 PECy7 (clone Jo2) | BD Biosciences | RRID: AB_396768 |
| Anti-CD95 BV421 (clone Jo2) | BD Biosciences | RRID: AB_2737690 |
| Anti-CXCR5 BV650 (clone L138D7) | BioLegend | RRID: AB_2562453 |
| Anti-IgG1 FITC (clone RMG1–1) | BioLegend | RRID: AB_493293 |
| Anti-IgM APC-eFluor780 (clone II/41) | eBioscience | RRID: AB_2573983 |
| Anti-IgM PECy7 (clone II/41) | eBioscience | RRID: AB_469654 |
| Anti-IgD BV650 (clone 11–26c.2a) | BioLegend | RRID: AB_2562731 |
| Anti-IgD PE (clone 11–26c.2a) | BioLegend | RRID: AB_315027 |
| Anti-Igκ (clone RMK-45) | BioLegend | RRID: AB_2563578 |
| Anti-Igλ (clone R26–46) | BD Biosciences | RRID: AB_394854 |
| Anti-PD1 APCCy7 (clone 29F.1A12) | BioLegend | RRID: AB_2563523 |
| Anti-TCRb APC-eFluor780 (clone H57–597) | eBioscience | RRID: AB_1272173 |
| Anti-Mouse T- and B-Cell Activation Antigen FITC (clone GL7) | BD Biosciences | RRID: AB_394981 |
| Anti-CD45.1 BV421 (clone A20) | BioLegend | RRID: AB_10896425 |
| Anti-CD45.2 APC (clone 104) | BioLegend | RRID: AB_389211 |
| Goat anti-mouse Ig | Southern Biotech | RRID: AB_2794121 |
| Goat anti-mouse Ig-HRP | Southern Biotech | RRID: AB_2728714 |
| Goat anti-mouse IgG-HRP | The Jackson laboratory | RRID: AB_2338506 |
| Streptavidin BV421 | BioLegend | Cat#405231 |
| Chemicals, Peptides, and Recombinant Proteins | ||
| ACK lysing buffer | Thermo Fisher Scientific | Cat#A10492–01 |
| Tamoxifen | Sigma-Aldrich | Cat#T5648–5G |
| Corn oil | Sigma-Aldrich | Cat#C8267–500ML |
| Chicken gamma globulin | Rockland Immunochemicals | Cat#D602–0100 |
| IgY | Gallus Immunotech | Cat#IgY-100 |
| Alhydrogel® adjuvant 2% | Invivogen | Cat#vac-alu-250 |
| Tween20 | Sigma-Aldrich | Cat#P9416–50ML |
| Bovine Serum Albumin (BSA) | Sigma-Aldrich | Cat#A9647–500G |
| EDTA (0.5 M), pH 8.0, RNase-free | Thermo Fisher Scientific | Cat#AM9261 |
| 3,3′,5,5′-Tetramethylbenzidine substrate | Sigma | Cat#T0565–100ML |
| H1 A/Puerto Rico/8/1934 (Cysteine-stabilized) | Mesin et al. 2020 | N/A |
| H1 A/California/07/2009 (Cysteine-stabilized) | Mesin et al. 2020 | N/A |
| H1 A/Fort Monmouth/1/1947 (Cysteine-stabilized) | Schiepers et al. 2023 | N/A |
| H3 A/Wisconsin/67/2005 (Cysteine-stabilized) | This paper | N/A |
| H1 A/Puerto Rico/8/1934 (Y98F) for HAPR8-tetramer | A. McDermott (VRC/NIAID/NIH) | N/A |
| H3 A/Wisconsin/67/2005 for H3-tetramer | A. McDermott (VRC/NIAID/NIH) | N/A |
| NP4-BSA | Biosearch Technologies | Cat#N-5050XL-10 |
| NP-CGG | Biosearch Technologies | Cat#N-5055C-5 |
| NP-OVA | Biosearch Technologies | Cat#N-5051–100 |
| NP-PE | Biosearch Technologies | Cat#N-5070–1 |
| Fetal bovine serum (FBS) | Thermo Fisher Scientific | Cat#A3160401 |
| Salmonella typhimurium lipopolysaccharide (LPS) | Sigma-Aldrich | Cat#L6511 |
| IL-4 | Thermo Fisher Scientific | Cat#404-ML |
| Critical Commercial Assays | ||
| BirA-500 ligase kit | Avidity | Cat#BirA500 |
| EZ-Link Sulfo-NHS-LC-LC-Biotin | Thermo Fisher Scientific | Cat# |
| Zeba desalting column purification | Thermo Fisher Scientific | Cat#89883 |
| MACS Cell Separation Column LS | Miltenyi Biotec | Cat#130–042-401 |
| CD43 (Ly-48) microbeads, mouse | Miltenyi Biotec | Cat#130–049-801 |
| Anti-biotin microbeads | Miltenyi Biotec | Cat#130–090-485 |
| Ni Sepharose Excel | GE Healthcare | Cat#17371201 |
| Experimental Models: Cell Lines | ||
| Chinese Hamster: CHO-DG44 cells | D. Hacker (EPFL) (Rajendra et al. 2017) | N/A |
| NB-21.2D9 feeder cells | G. Kelsoe (Duke University) (Kuraoka et al. 2016) | N/A |
| Experimental Models: Organisms/Strains | ||
| Mouse: C57BL6/J | The Jackson Laboratory | JAX: 000664 |
| Mouse: CD20-CreERT2 | M. Shlomchik (U. Pittsburgh) (Khalil et al. 2012) | N/A |
| Mouse: Prdm1flox/flox | J. Boss (Emory University) (Shapiro-Shelef et al. 2003) | N/A |
| Mouse: AicdaCreERT2 | C-A Reynaud, J-C Weill (U. Paris-Descartes) (Dogan et al. 2009) |
N/A |
| Mouse: Rosa26Confetti/Confetti | The Jackson Laboratory | JAX: 017492 |
| Mouse: Rosa26Stop-tdTomato (AI14) | The Jackson Laboratory | JAX: 007914 |
| Mouse: S1pr2CreERT2 BAC transgenic | T. Kurosaki, T. Okada (RIKEN Yokohama) (Shinnakasu et al. 2016) | N/A |
| Mouse: OT-II TCR transgenic (Y-chromosome) CD45.1 | (Barnden et al. 1998) | N/A |
| Recombinant DNA | ||
| Plasmid: pVRC8400 | A. McDermott (VRC/NIAID/NIH) | N/A |
| Software and Algorithms | ||
| Prism software | Graphpad | RRID: SCR_002798 |
| FlowJo Tree Star software | FlowJo LLC | RRID: SCR_008520 |
| Excel | Microsoft | RRID:SCR_016137 |
| Illustrator | Adobe | RRID:SCR_010279 |
| Other | ||
| ProCHO5 medium | Lonza | Cat#12–766Q |
| DMEM | Gibco | Cat#11965092 |
| OptiMEM | Thermo Fisher Scientific | Cat#31985070 |
| Prepared Microtubes, Z-Gel | Sarstedt | Cat#41.1378.005 |
| 96-Well Half Area Microplates | Greiner Bio-One | Cat#675061 |
| 96-Well Half Area Microplate | Corning | Cat#3690 |
Single GC B cell cultures
NB-21.2D9 feeder cells expressing CD40L, BAFF, and IL-21 (kindly provided by G. Kelsoe, Duke University) were cultured in DMEM supplemented with 10% heat-inactivated FBS and penicillin streptomycin solution (Corning). One day before single-cell sorting, the cells were detached and resuspended in OptiMEM, irradiated (20 Gy) and seeded into 96-well plates at 3,000 cells per well in OptiMEM supplemented with 10% heat-inactivated FBS, 2 mM L-glutamine, 1 mM sodium pyruvate, 50 μM 2-ME, penicillin streptomycin solution, 10 mM HEPES, MEM vitamin solution (Sigma) and MEM non-essential amino acids (Gibco). The following day, single GC B cells were sorted into wells and 150 μl of supplemented OptiMEM along with 30 μg/ml LPS (Sigma-Aldrich, #L6511) and 4 ng/ml IL-4 (Fisher Scientific, #404-ML) was added to each well. Supernatants were harvested 7 days after sorting and screened for Ig and HAPR8 reactivity by ELISA, as described below. For the experiment shown in Fig. 1G, the number of Ig+/sorted cells were: 91/372, 57/372 in primary, recall and tdTomato+ recall GC groups respectively. For the experiment shown in Fig. 2E, these numbers were 107/423, 114/471 and 70/330 for primary, homologous and heterologous groups, respectively.
ELISA
To determine antibody levels in supernatants of single GC B cell cultures or in the serum of immunized mice, ELISAs were performed as described before.20 96-well high-binding half-area microplates (Greiner or Corning) were coated overnight at 4°C with antigen or capture antibody in PBS (25 μl per well). In between each step, plates were washed with PBS + 0.05% Tween20. After overnight incubation, plates were blocked with 2.5% bovine serum albumin (BSA, Sigma) in PBS for 2 hours at room temperature. For single GC B cell cultures experiments, 25 μl of undiluted supernatant was added to wells coated with 1 μg/ml goat anti-mouse Ig (Southern Biotech) or HAPR8 and for serum samples 3-fold serial dilutions of serum samples starting at 1/100 were added to wells coated with NP4-BSA (10 μg/ml, Biosearch) or HAPR8 (1 μg/ml). After washing, detection occurred with goat anti-mouse Ig-HRP (Southern Biotech) or IgG-HRP (Jackson Immunoresearch) for single cell cultures and serum ELISAs respectively, followed by development with TMB (slow kinetic form, Sigma). The reaction was stopped with 1N hydrochloric acid and the absorbance was measured at 450 nm on a Fisher Scientific accuSkan FC plate reader.
Statistical analysis and software
Statistical tests used to compare conditions are indicated in the figure legends. Parametric tests were performed after assessing whether the data was normally or lognormally distributed, using Shapiro-Wilk tests, and on the log transformed data if warranted. Statistical analysis was carried out using GrahPad Prism v.9. Flow cytometry analysis was carried out using FlowJo v.10 software. Graphs were plotted using Prism v.9, and edited for appearance using Adobe Illustrator.
Supplementary Material
Highlights.
Recall GC B cells show impaired binding to the immunizing antigen
Impaired binding is partially overcome by variant boosting
Antibody-mediated feedback suppresses antigen binding by recall GC B cells
Memory T cells allow recall GC formation in the presence of pre-existing antibody
Acknowledgments
We thank all members of the Victora Laboratory for helpful discussion, L. Shen and J. Pae for technical assistance, C.L. Ferreira and J. Bortolatto for mouse colony management, the Rockefeller University Comparative Biosciences Center for mouse housing, and all Rockefeller University staff for their continuous support. We thank K. Gordon and J.-P. Truman for single-cell sorting, G. Kelsoe (Duke University) for NB-21.2D9 cells, T. Kurosaki and T. Okada (Osaka University and RIKEN-Yokohama) for S1pr2-CreERT2 mice, M. Shlomchik (U. Pittsburgh) for CD20-CreERT2 mice, and M. Nussenzweig, A. Barbulescu and S.T. Chen for critical reading of the manuscript. This study was funded by NIH/NIAID grants R01AI119006, R01AI157137, and R01AI173086 to G.D.V. Work in the Victora laboratory is additionally supported by NIH grant DP1AI144248 (Pioneer award), the Robertson Foundation, and the Stavros Niarchos Foundation Institute at Rockefeller University (SNFIRU). A.S. was supported by a Boehringer-Ingelheim Fonds PhD fellowship. G.D.V. is a Burroughs-Wellcome Investigator in the Pathogenesis of Infectious Disease.
Inclusion and diversity
We support inclusive, diverse, and equitable conduct of research.
Footnotes
Declaration of interests
G.D.V. is a scientific advisor for Vaccine Company, Inc..
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data reported in this paper will be shared by the lead contact upon request.
This paper does not report an original code.
Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.
