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Tissue Distribution and Dependence of Responsiveness of Human Antigen-Specific Memory B Cells

Claudia Giesecke, Daniela Frölich, Karin Reiter, Henrik E. Mei, Ina Wirries, Rainer Kuhly, Monica Killig, Timor Glatzer, Katharina Stölzel, Carsten Perka, Peter E. Lipsky and Thomas Dörner
J Immunol April 1, 2014, 192 (7) 3091-3100; DOI: https://doi.org/10.4049/jimmunol.1302783
Claudia Giesecke
*Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
†Deutsches Rheumaforschungszentrum Berlin, 10117 Berlin, Germany;
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Daniela Frölich
*Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
†Deutsches Rheumaforschungszentrum Berlin, 10117 Berlin, Germany;
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Karin Reiter
*Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
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Henrik E. Mei
*Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
†Deutsches Rheumaforschungszentrum Berlin, 10117 Berlin, Germany;
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Ina Wirries
*Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
†Deutsches Rheumaforschungszentrum Berlin, 10117 Berlin, Germany;
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Rainer Kuhly
‡Klinik für Anästhesologie urn Operative Intensivmedizin, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
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Monica Killig
†Deutsches Rheumaforschungszentrum Berlin, 10117 Berlin, Germany;
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Timor Glatzer
†Deutsches Rheumaforschungszentrum Berlin, 10117 Berlin, Germany;
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Katharina Stölzel
§Klinik für Hals-, Nasen-, Ohrenheilkunde, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
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Carsten Perka
¶Klinik für Unfallchirurgie und Orthopädie, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany; and
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Peter E. Lipsky
‖National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892
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Thomas Dörner
*Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charite Universitätsmedizin Berlin, 10117 Berlin, Germany;
†Deutsches Rheumaforschungszentrum Berlin, 10117 Berlin, Germany;
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Abstract

Memory B cells (mBCs) are a key to immunologic memory, yet their distribution within lymphoid organs and the individual role of these for mBC functionality remain largely unknown. This study characterized the distribution and phenotype of human (Ag-specific) mBCs in peripheral blood (PB), spleen, tonsil, and bone marrow. We found that the spleen harbors most mBCs, followed by tonsils, BM, and PB, and we detected no major differences in expression of markers associated with higher maturity. Testing the distribution of tetanus toxoid–specific (TT+) mBCs revealed their presence in PB during steady state, yet absolute numbers suggested their largest reservoir in the spleen, followed by tonsils. To explore the role of both tissues in the maintenance of reactive B cell memory, we revaccinated controls and splenectomized and tonsillectomized individuals with TT. All donor groups exhibited comparable emergence of anti-TT IgG, TT+ plasma cells, and TT+ mBCs in the PB, together with similar molecular characteristics of TT+ plasma cells. In summary, human mBCs recirculate through PB and reside in different lymphoid organs that do not reflect different mBC maturity stages. The spleen and tonsil, although harboring the largest number of overall and TT+ mBCs, appear to be dispensable to preserve adequate responsiveness to secondary antigenic challenge.

Introduction

Immunologic memory, a hallmark of adaptive immunity, refers to the heightened responsiveness to a secondary challenge with a specific Ag or the increased resistance of the host to re-exposure to certain pathogens. Immunologic B cell memory is mediated by two main mechanisms: Ab-secreting long-lived plasma cells (PCs) and reactive memory B cells (mBCs) (1, 2). Whereas long-lived PCs preferentially reside in niches in the bone marrow (BM) (3) and were also identified in spleen (4) and tonsil (3, 5, 6), potential survival niches for mBCs and the role of certain organs in mBC functionality remain largely unknown. Based on a number of observations, a few eligible candidate lymphoid tissues provide niche conditions for mBCs. One of these tissues is the BM, thought to provide a unique survival niche for long-lived PCs (7, 8) and shown to be involved in the long-term maintenance of reactive memory T cells (8, 9). However, data on mBCs in the BM are scarce. Specifically, the presence of mature IgM+ B cells expressing mutated BCR gene rearrangements has been described, but no data exist on further mBC subsets or their phenotypic profile (10, 11). Another tissue of interest in regard to residing lymphocyte subsets is the tonsil. The presence and functionality of mBCs in the tonsil have been described, but detailed studies of tonsillar mBC pool characteristics are lacking (12–15). Finally, the spleen has been considered as the major reservoir for mBCs, based on the following observations. First, cluster of differentiation (CD)27+ mBCs are present in the spleen (16), usually organized around B cell follicles (17–19). Splenectomy greatly diminishes peripheral mBC numbers of both CD27+IgM+IgD+ preswitch mBCs and CD27+IgD− postswitch mBCs (20–22). Finally, mBCs generated during T cell–dependent (TD) responses persist in the spleen at increased numbers compared with peripheral blood (PB) even 30 y after the last Ag exposure (23). However, a comprehensive mapping, including enumeration and phenotyping of mBCs within different lymphoid organs, has not been performed. Along these lines, the data are limited on location of Ag-specific mBCs (23–25) and whether TD (secondary) responses, maintenance, and reactivation of resulting B cell memory depend on certain lymphoid organs.

The current study delineates the distribution and characteristics of CD19+CD20+CD27+ mBCs and specifically of tetanus toxoid–specific (TT+) mBCs during steady-state conditions in PB, tonsils, BM, and spleen. We show that phenotypically similar mBCs are distributed between the different lymphoid tissues. We further show that absence of spleen or tonsils does not affect secondary tetanus toxoid (TT) responses, indicating an organ-independent maintenance and reactivation for human mBCs.

Materials and Methods

Donors

In the TT vaccination study, 6 splenectomized individuals [(S); 4 female, 2 male; age range: 36–67 y; S1, S2, S4, and S5 were splenectomized because of immune thrombocytopenia (ITP) and S3 and S6 because of nonimmunologic disease], 12 healthy European ancestry donors [(HDs); 7 female, 5 male; age range: 25–52 y], and 3 tonsillectomized HDs [(HDTX); 1 female, 2 male; age range: 27–48 y] were enrolled. All donors underwent secondary immunization against TT/diphtheria toxoid (20 immunization units TT and 2 immunization units diphtheria toxoid; Sanofi Pasteur MSD GmbH, Leimen, Germany). To confirm the absence of splenic function, blood smears were examined for Howell–Jolly bodies (26). PB during steady state was analyzed from an additional 14 HDs (9 female, 5 male; age range: 26–63 y) and 7 HDTX (2 female, 5 male; age range: 26–65 y). Altogether, 23 tonsils were obtained from patients (12 female, 3 male, 8 unknown; age range: 11–51 y) undergoing tonsillectomy. A total of 8 spleen samples were obtained from patients (4 female, 4 male; age range: 17–79 y), of whom 4 underwent splenectomy because of ITP and the other 4 for nonimmunologic reasons. Twenty-eight BM samples were obtained from patients (19 female, 9 male; age range: 35–82 y) undergoing hip joint replacement surgery. Written informed consent was obtained in all cases, in accordance with the local ethics committee of the Charité Universitätsmedizin Berlin.

Cell isolation, Abs, and staining procedure for FACS and flow cytometry

PB (EDTA and serum Vacutainer tubes; BD Biosciences, San Jose, CA) was collected before and at several time points after immunization. PBMCs were prepared by density gradient centrifugation using Ficoll-Paque Plus (GE Healthcare Bio-Sciences AB, Uppsala, Sweden) according to the manufacturer’s instruction. Spleen and tonsil material was minced and vortexed in PBS/0.2% BSA. The resulting cell suspensions were filtered (70-μm cell strainer; BD) and mononuclear cells were isolated as performed for PBMCs. BM samples were either treated as described above, but using PBS/BSA/5 mM EDTA, or after filtration residual erythrocytes were lysed using QIAGEN Buffer EL (Qiagen GmbH, Hilden, Germany) according to the manufacturer's instruction.

For flow cytometric analyses, fluorochrome-labeled anti-human mAbs were used (Supplemental Table I). TT+ B cells were identified by binding to Cy5-labeled TT [(TT-Cy5); TT: Boehringer, Mannheim, Germany], to TT conjugated to digoxigenin (Dig) [(TT-Dig); Dig: Boehringer], or to recombinant C-fragment of tetanus toxin-Dig [(rTT.C-Dig); Hoffmann–La Roche, Indianapolis, IN], followed by staining with anti–Dig-FITC (Roche Diagnostics GmbH, Mannheim, Germany). The specificity of staining was confirmed each time by blocking, using unconjugated TT (Fig. 3A). Stainings were performed at 4°C for 15 min in the dark, followed by washing at 250 × g for 5 min. Cells were analyzed using a FACSCanto II flow cytometer (BD). Flow cytometric data were analyzed using FlowJo software 7.6.5 (TreeStar, Ashland, OR) or FACSDiva software (BD). Absolute numbers of B cells, mBCs, or TT+ mBCs were approximated by multiplying the described tissue-specific lymphocyte number (27) with the ratio of gated B cells, mBCs, or TT+ mBCs, respectively, to gated lymphocytes.

Single-cell sorting, cDNA synthesis, nested PCR, and sequence analysis

For single-cell sorting, PBMCs were stained as described before (28). At 7 d after secondary TT immunization, single CD3−CD14−CD19+CD20−CD27++rTT.C-specific (rTT.C+) PCs of HD1, HD6, HD2TX, and S1, S2, S4, S5, and S6, respectively, were sorted into 96-well plates using a FACSAria II cell sorter (BD). Each well contained a reaction mix as described elsewhere, and first-strand cDNA was generated (28, 29). The subsequent nested PCR procedure, PCR product purification, and sequencing were performed as described (28).

Sequences were analyzed as described previously (28), using Chromas 2.33 Sequence Viewer (Chromas Technelysim, Helensvale, Australia), the BLAST algorithm of the National Center for Biotechnology Information (www.ncbi.nlm.nih.gov), and the software JOINSOLVER (http://joinsolver.niaid.nih.gov, accessed between April 2010 and July 2013), and the Kabat database was used (30, 31). Theoretical repertoire sizes were calculated as described previously (28, 32).

Serum analysis of anti-TT IgG Abs

Serum IgG Abs against TT were detected using a commercially available anti-TT IgG ELISA kit (Euroimmun AG, Lübeck, Germany) according to the manufacturer’s instructions.

Statistical analysis

GraphPad Prism Version 5 for Windows (GraphPad Software, San Diego, CA) and Microsoft Excel 2010 (Santa Rosa, CA) were used for statistical analyses. To test for significant differences between sample medians, the Mann–Whitney U test was used.

Results

Distribution of human mBCs in different lymphoid organs

Initially, the distribution of total B cells and mBCs in different lymphoid organs and PB was analyzed. B cells were defined as CD3−CD14−CD19+ and mBCs as CD3−CD14−CD19+CD20+CD27+ cells (33–36) using multicolor flow cytometry (representative examples are shown in Fig. 1A).

FIGURE 1.
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FIGURE 1.

Distribution of B cells and mBCs in different lymphoid organs and PB. Isolated mononuclear cells from human PB (n = 16), BM (n = 25), spleen (n = 8), and tonsil (n = 20) were analyzed for their frequencies of CD3−CD14−CD19+ B cells and CD3−CD14−CD19+CD20+CD27+ mBCs. (A) Representative examples of the B cell and mBC gating for each tissue. (B) Frequencies of CD19+CD3−CD14- B cells within mononuclear cells obtained from different organs and (D) frequencies of CD20+CD27+ mBCs from CD3−CD14−CD19+ B cells from a series of experiments. In tonsil and, to a very minor extent, also in spleen, CD20highCD27int cells were present and excluded from the mBC analysis because these B cells expressed high levels of CD38 and were negative for CD24 (not shown), resembling a germinal center phenotype (63). (C) Transformed absolute numbers of CD19+ B cells in the different tissues based on the ratio of gated CD19+ B cells to lymphocytes and multiplied with absolute lymphocyte numbers of the respective tissue, as previously described (27). (E) Transformed absolute numbers of mBCs in different tissues. Bars and numbers indicate median, respectively.

A relative enrichment of CD19+ B cells was found in the BM (median: 19%), spleen (33%), and tonsil (43%) compared with those circulating in the PB (4%; Fig. 1B). This relative distribution was transformed into absolute B cell numbers, based on lymphocyte numbers per organ as described (Fig. 1C) (27). It became apparent that spleen, BM, and tonsil contained substantially higher total numbers of B cells than PB.

Among CD19+ B cells, a higher frequency of mBCs was detected in the spleen (46%), compared with PB (30%) and tonsil (21%), whereas the BM contained a substantially lower mBC frequency (8%; Fig. 1D). With respect to absolute numbers, significantly more mBCs were found in the spleen and tonsil (median: 9.1*109 and 1.1*109, respectively) compared with the BM (6.6*108) and PB (8.2*107; Fig. 1E). Hence, ∼13.8 times more mBCs reside in the spleen than in the BM, and 8.2 times more mBCs are found in the spleen than in the tonsil.

Comparative analyses of differentiation and migration marker expression by human mBCs obtained from different human tissues

Phenotypic characterization of mBCs in different lymphoid compartments was carried out to determine whether there were maturation stage differences in these populations as described for BM and tonsil tissue–resident long-lived PCs, which express a more mature phenotype—that is, decreased expression of HLA-DR, CD95, CD45, CD21, and CD62L among others—compared with PB PCs (5, 6). Representative histograms of the expression of analyzed molecules by mBCs (Fig. 2A) and frequencies or median fluorescence intensities (MFIs) of the expression by mBCs from a series of experiments were summarized (Fig. 2B, 2C, respectively).

FIGURE 2.
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FIGURE 2.

Comparative analysis of the pattern of expression of differentiation, adhesion, and survival-associated molecules by human mBCs from different tissues. (A) Representative examples of molecule expression associated with survival (CD95), trafficking, and adhesion (CD62L, CXCR4, CXCR5, ITG β7, CD54, CD31), and differentiation and activation (ICOSL, CD21, CD24, HLADR, CD45) by PB, BM, spleen, and tonsil CD3−CD14−CD19+CD20+CD27+ mBCs (black line). Corresponding isotype controls are shown (gray shadowed). (B) Frequencies of mBCs expressing the respective markers for each tissue. (C) MFIs of indicated markers expressed by mBCs from each tissue. Number of samples ranges between 5 and 10 for each marker and tissue. Bar indicates mean. Error bars represent the SD. Symbols underneath the diagram indicate significant differences between tissues, as indicated by the legend (Mann–Whitney U test).

The differentiation and activation markers CD24, CD45, CD21, and HLA-DR were comparably expressed on almost all mBCs from all tissues analyzed. In contrast, the ICOS ligand was expressed at low levels on mBCs from PB (525 ± 101; mean MFI ± SD) and BM (604 ± 135) but was absent on mBCs from spleen (179 ± 127) and tonsil (134 ± 24).

CD62L (L-selectin), involved in lymphocyte recirculation and trafficking from PB to lymphoid tissues, was highly expressed on PB mBCs (37,800 ± 7646; mean MFI ± SD), at lower levels on BM (10428 ± 7349) and tonsil mBC (6551 ± 3581), and exhibited strongly reduced expression on splenic mBCs (1024 ± 745). The mucosal (gut-) homing adhesion molecule integrin β7 (ITG β7) was found to be present on a portion of mBCs from all tissues and PB, that is, 54.3% ± 8.9% (mean ± SD), 60.7% ± 9.6%, and 61.2% ± 6.2% in PB, spleen, and BM, respectively, whereas in tonsil a significantly smaller mBC population expressed ITG β7 (29% ± 9%). The adhesion molecule CD54 (ICAM-1) was expressed on almost all mBCs from all tissues. CD31 (PECAM-1) was also expressed by a large proportion of mBCs in all tissues, yet the frequencies of mBCs from spleen (96.5% ± 1.9%) and BM (95.9% ± 1.9%) expressing this molecule were greater than those from PB (79.5% ± 6.3%) and tonsil (81.2% ± 4.0%).

The chemokine receptor CXCR5 was homogeneously expressed by nearly all mBCs from all tissues analyzed, apart from a small portion of 6.6% ± 3.3% in the BM. CXCR4 was found to be expressed somewhat higher on splenic (MFI: 402 ± 262), BM (MFI: 510 ± 270), and tonsillar (MFI: 791 ± 674) mBCs than on mBCs from PB (253 ± 84). Finally, the death receptor CD95 (FAS/APO-1) was expressed at similar densities on the majority of mBCs from all tissues (Fig. 2C). However, none of these differences yielded identification of mBC populations of distinct maturation stages in the different tissues.

Distinct distribution of IgA, IgG, or IgM/IgD expressing mBCs in different tissues

We also assessed the BCR isotype usage by mBCs. Representative examples are shown in Fig. 3Ai–v. PB and BM mBCs expressed surface IgA (median: 17.3% and 20.0%, respectively) and IgG (22.9% and 22.6%) at similar frequencies (Fig. 3B). Tonsillar mBCs contained a larger frequency of surface IgA+ mBCs (26.1%) than did PB, spleen (10.6%), and BM. Surface IgG+ mBCs were similarly distributed in spleen (31.7%) and tonsil (36.6%) and thus enriched, compared with PB and BM. IgM+IgD+ preswitched mBCs were reduced in tonsil (25.6%) versus PB (48.9%), spleen (45.0%), and BM (37.9%; Fig. 3B). Hence, tonsils represent a site of relative accumulation of classic (IgA+ and IgG+) postswitched mBCs, whereas IgM+IgD+ preswitched mBCs appeared de-enriched.

FIGURE 3.
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FIGURE 3.

Expression of surface IgA, IgG, and coexpression of IgM/IgD by mBCs and CD20+CD27−IgD− B cells from PB, spleen, BM, and tonsil and distribution of TT+ mBCs. (A) Gating strategy for isotype-specific mBCs (IgA: Ai; IgG: Aii; and IgM/IgD: Aiii) and for TT+ mBCs (Avi) (upper row) and for CD19+CD20+CD27−IgD− B cells (IgA: Aiv and IgG: Av) (lower row) from tonsil. (B) Frequency of IgA+, IgG+, or IgM+/IgD+ mBCs from a series of experiments. (C) Frequency of IgA+ (Civ) or IgG+ (Cv) CD20+CD27−IgD− B cells of CD19+ B cells. Mann–Whitney U test, **p < 0.01, ***p < 0.001. (D) Calculated absolute numbers of CD20+CD27−IgD− IgA+ or IgG+ B cells. (E) Calculated absolute numbers of isotype-specific CD20+CD27+ mBCs. (F) Frequency of TT+ mBCs (Fvi) among mBCs from different tissues. (G) Transformed absolute numbers of TT+ mBCs in the respective tissue. Bar, frequencies, and numbers represent the median, respectively.

As reported previously, CD27− mutated and class-switched B cells can be found in PB, usually expressing an IgG BCR (37, 38). We included, therefore, the CD20+CD27−IgD− B cell population (double-negative mBCs) in our BCR-isotype cross-tissue comparison. We found that most of the double-negative mBCs expressed an IgG BCR in PB (median frequency: 1.9% of CD19+ B cells), spleen (2.6%), and tonsil (1.6%), compared with the frequency of double-negative mBCs expressing an IgA BCR (0.6%, 0.3%, and 0.3%, respectively; Fig. 3C). In contrast, the frequency of IgA and IgG double-negative mBCs appeared more balanced in BM (0.2% IgA and 0.5% IgG). For all tissues, absolute numbers showed that IgG+CD20+CD27−IgD− B cells are present in higher quantities than are IgA+CD20+CD27−IgD− B cells (Fig. 3D). However, absolute numbers of both are much lower than those of CD20+CD27+ mBCs of either isotype in each tissue (Fig. 3E). This finding can also be derived from analysis of the percentage of CD27 expression among surface IgA- or IgG-expressing B cells (Supplemental Fig. 1).

TT+ mBCs are detectable in the blood, spleen, and tonsil during steady state

To evaluate the presence and distribution of TT+ mBCs in the tissues under study, we used direct detection of TT+ B cells as described (Fig. 3Avi) (28, 39, 40). This analysis identified, on average, 0.04% TT+ cells among mBCs in PB, 0.04% in the spleen, and 0.06% in the tonsil (all median), but only infrequently were TT+ mBCs detected in the BM (Fig. 3F). In absolute numbers (Fig. 3G), the spleen accommodates most TT+ mBCs (median: 2.1*106), followed by tonsil (8.5*105) and PB (3.0*104), whereas the BM harbors only minor numbers of these cells.

Influence of splenectomy and tonsillectomy on circulating mBCs and on mBC responsiveness

To next test potential consequences of the absence of spleen or tonsil on mBC responsiveness, we booster immunized HD, tonsillectomized, and splenectomized individuals with TT. Initially, to evaluate known changes of circulating mBCs after splenectomy within our cohort, PB mBC frequencies were assessed at day 0 before vaccination by flow cytometry. The gating strategy is shown for representative examples in Fig. 4A. Consistent with previous data (20–22), the four long-term patients S1 (2 y splenectomized), S3 (35 y), S4 (13 y), and S5 (4 y) exhibited reduced frequencies of PB mBCs (11.0%, 9.0%, 1.7%, and 14.7% for S1, S3, S4, and S5, respectively), whereas patients S6 (40 y, long-term splenectomized) and S2 (7 mo, classified as short-term splenectomized) did not show such a drastic change (22.4% and 24.0%, respectively) compared with 12 HD (median: 30.0% of CD19+ B cells; Fig. 4B). Notably, tonsillectomy (n = 10) had no effect on circulating mBCs (median: 31.8%). Also consistent with previous data (21, 22), all splenectomized individuals showed reduced IgD+ mBCs (median: 2.2%), including S2 (6.7%) and S6 (3.2%), compared with HDs (median: 14.9%) and tonsillectomized donors (17.8%; Fig. 4C). Postswitch mBCs were reduced to a minor extent in splenectomized individuals (median: 9.9%) compared with HDs (14.5%) and HDTX (15.0%, Fig. 4D).

FIGURE 4.
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FIGURE 4.

Blood mBCs are reduced in splenectomized individuals versus healthy controls and HDTX. Determination of general mBC, IgD+, and IgD− mBC frequencies on day 0 before vaccination for all vaccinees. (A) PBMCs were gated with an extended forward scatter-A gate with subsequent exclusion of nonsingle cells (not shown), and after gating on CD3−CD14−CD19+ B cells, frequencies of CD3−CD14−CD19+CD20+CD27+ mBCs (Ai) and frequencies of IgD+ and IgD− subsets were analyzed (Aii). Upper row, Splenectomized patient (S). Lower row, Healthy donor (HD). Dot plots of tonsillectomized donors (TX) are not shown separately. (B) Comparison of the frequency of PB mBCs, (C) frequency of PB IgD+ mBCs, and (D) frequency of PB IgD− mBCs expressed as percentages from CD19+ B cells. Bar indicates median. Gray dot represents respective frequencies from splenectomized individual S2, who had the shortest time period after splenectomy (7 mo) and was considered short-term splenectomized in contrast to the other splenectomized individuals.

Splenectomized and tonsillectomized individuals show normal appearance of TT+ PCs and expansion of TT+ mBCs after vaccination

As readout for the presence and functionality of TT+ mBCs and their intact reactivation capabilities in splenectomized and tonsillectomized individuals versus controls, we examined the B cell response to TT vaccination by analyzing the appearance of TT+ PCs and TT+ mBCs in PB, using direct detection ex vivo (28, 39). Before TT vaccination, TT+ PCs were below the quantification limit or absent. On day 7 after TT booster, all donors, except S3, showed increased frequencies of TT+ PCs. In HDs, including three HDTX, TT+ PCs were expanded to a mean of 19.6% from PCs (range: 2.0–68.3%) and in splenectomized to 26.5% (range: 0.4–50.3%; Fig. 5A). On day 14 after TT revaccination, the TT+ PC pool was contracted to a mean of 0.7% in HD/HDTX and to 1.2% in splenectomized individuals. At baseline, circulating TT+ mBCs were detectable in 9 of 11 HD, 2 of 3 HDTX, and 3 of 6 splenectomized donors (S1, S2, and S6). In HD/HDTX, a mean of 0.06% (range: 0–0.34%) and in splenectomized individuals a mean of 0.06% (0–0.25%) TT+ cells of mBCs were determined (Fig. 5B). On day 7 after TT booster, TT+ mBCs were expanded to a mean of 0.27% (range: 0.05–1.00%) in HD/HDTX and in splenectomized to a mean of 0.73% (range: 0–1.63%). On day 14 after revaccination, TT+ mBCs reached a mean of 0.44% (range: 0.06–1.37%) in HD/HDTX and in splenectomized donors a mean of 0.33% (range: 0.05–0.81%).

FIGURE 5.
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FIGURE 5.

Appearance of Ag-specific PCs and mBCs and the serologic response to TT vaccination in splenectomized individuals, HDTX, and HDs. (A) Time course of appearance of TT+ PCs (CD3−CD14−CD19+CD20−CD27++TT+) in PB of each donor, expressed as percentage from CD3−CD14−CD19+CD20−CD27++ PCs. (B) Time course of appearance of TT+ mBCs (CD3−CD14−CD19+CD20+CD27+TT+) in PB of each donor, expressed as percentage from CD3−CD14−CD19+CD20+CD27+ mBCs. (C) Detection of anti-TT IgG Abs using a specific ELISA (relative serum Ab levels are expressed as OD measured at 450 nm and a reference wavelength of 620 nm). Left, HDs and HDTX. Right, Splenectomized donors. Symbols indicate time points of blood and serum analysis, respectively. RTX, Donor S4 underwent three rituximab therapy cycles after splenectomy, with the latest being completed 1 y before this analysis. Splx, splenectomized; SplxITP, splenectomy due to ITP; TX, tonsillectomized HD.

Splenectomy and tonsillectomy do not affect the serologic Ab response to TT vaccination

Subsequently, anti-TT IgG titers were analyzed following immunization. Before TT reimmunization, anti-TT IgG Abs were detectable in all donors except S3 (Fig. 5C). Following immunization, HD/HDTX and S1, S2, S4, S5, and S6 exhibited comparable anti-TT IgG Ab responses. From day 0 to day 7, HD/HDTX and splenectomized individuals showed a mean of 1.7- and 1.4-fold increase, respectively, and to day 14 a 2.3- and 2.1-fold rise of anti-TT IgG, respectively. S3 did not show a serologic response in line with the absence of detectable anti-TT IgG serum Abs at baseline and the failure to generate circulating TT+ PCs upon vaccination. This donor was subsequently diagnosed with non-Hodgkin's lymphoma and could not be further investigated.

So far, these data indicated that tonsillectomized and splenectomized individuals were capable of mounting a comparable secondary TT response as seen in HD. Even repeated B cell depletion by several rituximab treatment cycles after splenectomy (S4) did not lead to an impaired secondary TT response.

Characteristics of VH gene rearrangements used by TT+ PCs are comparable in splenectomized and tonsillectomized individuals and controls

Next, we compared the variable heavy region of B cell Ig (VH) gene rearrangements employed by circulating TT+ PCs following TT vaccination from donors of the different groups. Therefore, single CD3−CD14−CD19+CD20−CD27++rTT.C+ PCs were sorted on day 7 after vaccination, and IgH sequences amplified to analyze rearranged VHDJHCα/γ/μ transcripts. A total of 117 productive sequences from rTT.C+ PCs from HD (HD1: 42, HD6: 23, HD2TX: 52) and 200 productive sequences were analyzed from splenectomized subjects (S1: 75, S2: 23, S4: 31, S5: 37, S6: 34). In a first step of our analysis, sequences from each donor were tested by alignment for potential clonal relationships to avoid skewing of the comparative analysis toward donor-specific patterns from large clonal families, as discussed (28). Of note, clonally related TT+ PCs could be identified within all five splenectomized individuals, comparable in number to that found in HD and HD2TX. The resultant calculated theoretical repertoire sizes ranged in HD/HD2TX from 31 to 148 and in splenectomized from 24 to 104. For the subsequent analyses, only unique sequences were considered in the statistics. A total of 187 unique sequences were therefore further analyzed (Fig. 6).

FIGURE 6.
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FIGURE 6.

Molecular characteristics of expressed Ig sequences by TT+ PCs from splenectomized individuals, HDTX, and HD. On day 7 after TT booster, single rTT.C+ PCs were sorted, cDNA was generated, IgH sequences were amplified by nested PCR, sequenced, and analyzed on a single-cell basis. (A) Isotype distribution of individual rTT.C+ PC sequences from HD1, HD6, and HD2TX (upper row) and S1, S2, S4, S5, and S6 (lower row). Numbers in the pie chart indicate frequencies of IgG1 usage. (B) Frequency of SHMs within VH segments. Bar indicates median. (C) Frequency of mutations located within mutation hotspots RGYW and WRCY. Bar indicates median.

The individual Ig sequences from HD, HD2TX, and splenectomized individuals expressed preferentially the IgG1 isotype, i.e., 91% (mean) for splenectomized individuals and 94% for HD/HD2TX (Fig. 6A). Analysis of the frequency and patterns of somatic hypermutation (SHM) targeted to VH gene segments was carried out to further characterize the imprints of TD activation. Importantly, all VH gene transcripts from splenectomized subjects and HD/HD2TX were highly somatically mutated (each mean: 9.9%; Fig. 6B). Testing for a characteristic of TD affinity maturation within germinal centers—and apparently dependent on CD40/CD154 is the specific targeting of mutations into RGYW/WRCY motifs on both DNA strands (41, 42)—revealed that the mutations targeted into these hotspots was, on average, >50% for all donors (median) and thus ∼2-fold higher than expected (Fig. 6C) (43). This analysis did not detect any significant differences of these targeted mutations in rTT.C+ PC sequences between HD, HD2TX, and splenectomized vaccinees (Mann–Whitney U test).

Discussion

This study describes the distribution of CD19+ B cells, CD19+CD20+CD27+ mBCs, and TT+ mBCs, the last-named as an example of Ag-specific mBCs between different lymphoid tissues and PB. Memory B cells overall and TT+ mBCs were detectable in PB, spleen, tonsils, and BM during steady state, with the highest numbers found in spleen, followed by tonsils. Functional consequences of splenectomy or tonsillectomy on B cell memory responses were evaluated by detailed analysis of the humoral response after secondary TT vaccination. Albeit a characteristic reduction of PB pre- and postswitch mBCs in splenectomized individuals (20–22), the overall data imply that TT+ mBCs persisted and were fully functional to mount qualitative indistinguishable secondary responses as in HD and tonsillectomized individuals.

Analyses of mBCs in certain organs revealed that these cells did not simply correlate with the relative distribution of CD19+ B cells but showed enrichment in the spleen, followed by tonsil. Previous studies indicated the presence of mBCs in the tonsil (12, 13, 19, 25), spleen (16, 17, 19), and BM (10) but, especially for the two latter ones, did not analyze this presence in great depth. We studied the expression of markers on mBCs associated with higher maturity and longevity of tissue-resident long-lived PCs (4, 44), that is, reduced expression of CD95, HLA-DR, and CD45 and increased CD31 expression (3, 5, 6, 44). In this regard, we did not detect a general reduced expression of CD95, HLA-DR, and CD45, whereas the CD31-expressing mBC population was found to be expanded in spleen and BM. However, we could not detect an mBC subpopulation indicative of different mBC maturity stages in any of the tissues. A difference between the tissues was found when analyzing the mBC BCR-isotype usage. The tonsillar mBC pool showed a relative enrichment of postswitch mBCs and reduction of preswitch mBCs, compared with spleen, BM, and PB. This enrichment likely either originates from the functions of the tonsils as part of the mucosa-associated immune system and/or is related to recurrent oral infections (tonsillitis), which may lead to a higher percentage of class-switched mBCs in the originating tonsillar tissue. Alternatively, assuming that preswitch mBCs do indeed solely originate in the spleen from which they recirculate, they do not appear to disseminate to BM and tonsil equally through the bloodstream. Analysis of double-negative mBCs, CD19+CD20+CD27−IgD− B cells, revealed that IgG+ cells were more frequent than IgA+ cells in PB and the tissues under study and these IgG+ mBCs ranged between 0.1 and 5.5% of total B cells, which thus represents a distribution similar to what has previously been shown for HD PB (37, 38). The origin, antigenic specificity, and tissue location of double-negative mBC populations are still under debate (45, 46). Our analyses did not reveal a complete exclusion or an exclusive enrichment of one or the other mBC population within any specific tissue and, therefore, is consistent with the migrating nature of all mBC subsets.

A noticeable variability was found when analyzing expression of CD62L. CD62L, which is normally shed after engagement, was found to be reduced, in particular, on the surface of splenic mBCs, whereas recirculation to the spleen has been shown to be independent of CD62L (47). However, the level of expression might not essentially be related to the functional capacity, as known for CXCR4 (40, 48). Thus, independent of the lower level of CD62L expression by splenic mBCs, nearly all mBCs coexpressed CXCR5 with different levels of CD62L, permitting them in principle to recirculate and enter germinal center reactions (49).

Notably, we and others (25) detected TT+ mBCs during steady state in the tonsils, whereas another study showed that parenteral TT vaccination causes no immune response, that is, generation of specific cells, at this site (24). Consequently, TT+ mBCs must have migrated to the tonsils, which is consistent with the conclusion that mBCs disseminate to distant lymphoid organs from their site of induction; that is, they recirculate, presumably patrolling the system to ensure whole-body protection. Whether tissue-residing mBCs are recirculating through these organs or whether they are bona fide residents remains to be delineated. Aside from vaccination, we detected the greatest enrichment of TT+ mBCs in the human spleen and, to a lower degree, in tonsils and PB. The data suggest that there is no organ restriction for (TT+) mBCs during steady state, as is assumed for long-lived BM PCs, which presumably undergo apoptosis after dislocation from their niches (3, 40). Whereas it is widely accepted that long-lived PCs are sheltered in a noninflammatory environment, such as BM, from where they secrete Abs, mBCs take a more (re)active role and have to contact Ag directly to be reactivated.

The observation that long-lived mBCs, that is, smallpox-specific mBCs (23, 50), resided in the spleen over decades, the finding of mBC reduction in PB after splenectomy, and the current report of enrichment of TT+ mBCs in splenic tissue, together with the previously reported decline of mBC populations after splenectomy, led us to the hypothesis of impaired reactive B cell memory in splenectomized individuals. This study addressed the extent to which a defined mBC subset directed against TT is also affected by known disturbances of global mBCs after splenectomy by further investigating a functional consequence arising from the loss of this subset. Notably, a previous study showed enrichment of smallpox-specific mBCs in the spleen compared with PB 30 y after the last exposure. After splenectomy, these smallpox-specific mBCs appeared strongly reduced in PB, using an ELISPOT system after stimulation of PBMCs (23). The current study used direct detection of TT+ mBCs and did not find a substantial reduction of TT+ mBC frequency, when detectable, to controls. The differences from the study noted above (23) might relate to different methodologies, general low mBC frequencies in splenectomized patients, and resulting insecurities in the quantification of Ag-specific mBCs or the nature of the Ags themselves. Notably, tonsillectomized individuals did not show a reduction of PB mBCs (pre- and postswitch) which is a first description, to the best of our knowledge.

Previous observations by our group (28, 40) and others (51–54) found that secondary immune responses show a characteristic appearance of Ag-specific plasmablasts in the PB between days 6 and 7, in contrast to the appearance of such cells after day 10 in response to primary immunization (55). Consistent with the characteristics of a secondary response, we detected an increased anti-TT IgG titer together with TT+ PC and TT+ mBC expansion at day 7 and found TT+ PC declined by day 14, comparably between HD, splenectomized, and tonsillectomized individuals. In addition, the quality reflected by the molecular properties of TT+ PCs was comparable between all donor groups, indicating intact reactive B cell memory. Although more variability was noted in the SHM frequencies of TT+ PCs compared with controls, TT+ PC sequences from splenectomized individuals were highly mutated on day 7, well above that which would be expected 2 wk after a primary vaccination (<5%) (56). The reason for this variability among the splenectomized individuals remains uncertain. Despite this, the imprint of targeted TD mutations toward the consensus hotspot motifs RGYW/WRCY were also similar between splenectomized and control individuals, indicating a consistent origin (41, 42). Nevertheless, S4 provided instructive data, exhibiting a normal secondary response despite having undergone splenectomy 13 y previously and subsequently requiring three treatment cycles with rituximab because of refractory ITP. The last cycle was completed 1 y before our vaccination. S4 showed typical TT+ PC and TT+ mBC expansion on day 7 and an increase of anti-TT IgG after vaccination. Vaccination studies performed during rituximab therapy in rheumatoid arthritis reported impaired responses during B cell repletion but do not exclude the possibility that TT+ mBCs can either persist or be regenerated in lymphoid tissues (57). It needs to be determined whether rituximab fails to completely deplete tissue-resident CD20+ B cells (58–60), whether recirculation of mBCs starts from a protected niche where these cells might not express CD20, or whether these mBCs might be generated de novo by ongoing reactions induced by Ag captured on follicular dendritic cells. It appears that postswitch mBCs, in contrast to preswitch mBCs, are not as dependent on the spleen for their functional maintenance (61). Even rituximab therapy seems to not affect survival or regeneration of postswitch mBCs despite their absence in PB during therapy. A study supports this idea by sampling IgD+ and IgD− mBCs before and after rituximab therapy, showing that IgD+ mBCs required substantially longer times to re-establish pretherapy mutation frequencies compared with IgD− mBCs. The latter population was shown to exhibit pretherapy mutation frequencies when first-time sampled 1 y after therapy (62).

Our data strongly support the idea of a TD mBC compartment that is not dependent in its functional maintenance on spleen or tonsil and is even resistant to cell-depleting therapies. Our data provide an assessment of human mBC distribution, including defined Ag-specific (TT+) mBCs that have not been studied in such context and expand our understanding of human adaptive immunity, which may also have potential clinical consequences for protective immunity and improved therapies for autoimmunity.

Disclosures

The authors have no financial conflicts of interest.

Acknowledgments

We thank J. Kirsch and T. Kaiser for excellent assistance with cell sorting; T. Geske, H. Hecker-Kia, H. Schliemann, and A. Peddinghaus for excellent technical assistance; A. Hutloff for discussing the flow cytometric data; and A. Thiel for critical reading of the manuscript.

Footnotes

  • This work was supported by Deutsche Forschungsgemeinschaft single projects Do491/7-2,3, Do 491/5-4, and Deutsche Forschungsgemeinschaft, Schwerpunktprogramm Immunobone Do491/8-1,2.

  • Study design: T.D., C.G.; experimental procedure: C.G., D.F., K.R., and I.W.; patient selection, organization, and preparation of the tissues: H.E.M., I.W., R.K., M.K., T.G., K.S., and C.P.; data interpretation: C.G., T.D., and P.E.L.; writing and review of the manuscript: C.G., P.E.L., and T.D.

  • The online version of this article contains supplemental material.

  • Abbreviations used in this article:

    BM
    bone marrow
    CD
    cluster of differentiation
    Dig
    digoxigenin
    HD
    healthy European ancestry donor
    HDTX
    tonsillectomized HD
    ITG β7
    integrin β7
    ITP
    immune thrombocytopenia
    mBC
    memory B cell
    MFI
    median fluorescence intensity
    PB
    peripheral blood
    PC
    plasma cell
    rTT.C
    recombinant C-fragment of tetanus toxin
    rTT.C+
    rTT.C-specific
    S
    splenectomized individual (numbered)
    SHM
    somatic hypermutation
    TD
    T cell–dependent
    TT
    tetanus toxoid
    TT+
    tetanus toxoid–specific
    VH
    variable heavy region of B cell Ig.

  • Received October 17, 2013.
  • Accepted January 9, 2014.
  • Copyright © 2014 by The American Association of Immunologists, Inc.

References

  1. ↵
    1. McHeyzer-Williams M. G.,
    2. R. Ahmed
    . 1999. B cell memory and the long-lived plasma cell. Curr. Opin. Immunol. 11: 172–179.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Lanzavecchia A.,
    2. F. Sallusto
    . 2009. Human B cell memory. Curr. Opin. Immunol. 21: 298–304.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Manz R. A.,
    2. A. Thiel,
    3. A. Radbruch
    . 1997. Lifetime of plasma cells in the bone marrow. Nature 388: 133–134.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Ellyard J. I.,
    2. D. T. Avery,
    3. T. G. Phan,
    4. N. J. Hare,
    5. P. D. Hodgkin,
    6. S. G. Tangye
    . 2004. Antigen-selected, immunoglobulin-secreting cells persist in human spleen and bone marrow. Blood 103: 3805–3812.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Medina F.,
    2. C. Segundo,
    3. G. Jiménez-Gómez,
    4. I. González-García,
    5. A. Campos-Caro,
    6. J. A. Brieva
    . 2007. Higher maturity and connective tissue association distinguish resident from recently generated human tonsil plasma cells. J. Leukoc. Biol. 82: 1430–1436.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Medina F.,
    2. C. Segundo,
    3. A. Campos-Caro,
    4. I. González-García,
    5. J. A. Brieva
    . 2002. The heterogeneity shown by human plasma cells from tonsil, blood, and bone marrow reveals graded stages of increasing maturity, but local profiles of adhesion molecule expression. Blood 99: 2154–2161.
    OpenUrlAbstract/FREE Full Text
  7. ↵
    1. Radbruch A.,
    2. G. Muehlinghaus,
    3. E. O. Luger,
    4. A. Inamine,
    5. K. G. Smith,
    6. T. Dörner,
    7. F. Hiepe
    . 2006. Competence and competition: the challenge of becoming a long-lived plasma cell. Nat. Rev. Immunol. 6: 741–750.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Tokoyoda K.,
    2. A. E. Hauser,
    3. T. Nakayama,
    4. A. Radbruch
    . 2010. Organization of immunological memory by bone marrow stroma. Nat. Rev. Immunol. 10: 193–200.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Tokoyoda K.,
    2. S. Zehentmeier,
    3. A. N. Hegazy,
    4. I. Albrecht,
    5. J. R. Grün,
    6. M. Löhning,
    7. A. Radbruch
    . 2009. Professional memory CD4+ T lymphocytes preferentially reside and rest in the bone marrow. Immunity 30: 721–730.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Paramithiotis E.,
    2. M. D. Cooper
    . 1997. Memory B lymphocytes migrate to bone marrow in humans. Proc. Natl. Acad. Sci. USA 94: 208–212.
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Mayo M. S.,
    2. E. Paramithiotis,
    3. M. D. Cooper
    . 1999. B lymphocyte migration to the bone marrow of humans is not random. Stat. Med. 18: 223–231.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Pascual V.,
    2. Y. J. Liu,
    3. A. Magalski,
    4. O. de Bouteiller,
    5. J. Banchereau,
    6. J. D. Capra
    . 1994. Analysis of somatic mutation in five B cell subsets of human tonsil. J. Exp. Med. 180: 329–339.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Liu Y. J.,
    2. O. de Bouteiller,
    3. C. Arpin,
    4. I. Durand,
    5. J. Banchereau
    . 1994. Five human mature B cell subsets. Adv. Exp. Med. Biol. 355: 289–296.
    OpenUrlCrossRefPubMed
    1. Arpin C.,
    2. J. Banchereau,
    3. Y. J. Liu
    . 1997. Memory B cells are biased towards terminal differentiation: a strategy that may prevent repertoire freezing. J. Exp. Med. 186: 931–940.
    OpenUrlAbstract/FREE Full Text
  14. ↵
    1. Dono M.,
    2. V. L. Burgio,
    3. C. Tacchetti,
    4. A. Favre,
    5. A. Augliera,
    6. S. Zupo,
    7. G. Taborelli,
    8. N. Chiorazzi,
    9. C. E. Grossi,
    10. M. Ferrarini
    . 1996. Subepithelial B cells in the human palatine tonsil. I. Morphologic, cytochemical and phenotypic characterization. Eur. J. Immunol. 26: 2035–2042.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Tangye S. G.,
    2. Y. J. Liu,
    3. G. Aversa,
    4. J. H. Phillips,
    5. J. E. de Vries
    . 1998. Identification of functional human splenic memory B cells by expression of CD148 and CD27. J. Exp. Med. 188: 1691–1703.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Ettinger R.,
    2. G. P. Sims,
    3. R. Robbins,
    4. D. Withers,
    5. R. T. Fischer,
    6. A. C. Grammer,
    7. S. Kuchen,
    8. P. E. Lipsky
    . 2007. IL-21 and BAFF/BLyS synergize in stimulating plasma cell differentiation from a unique population of human splenic memory B cells. J. Immunol. 178: 2872–2882.
    OpenUrlAbstract/FREE Full Text
    1. Daridon C.,
    2. C. Loddenkemper,
    3. S. Spieckermann,
    4. A. A. Kühl,
    5. A. Salama,
    6. G. R. Burmester,
    7. P. E. Lipsky,
    8. T. Dörner
    . 2012. Splenic proliferative lymphoid nodules distinct from germinal centers are sites of autoantigen stimulation in immune thrombocytopenia. Blood 120: 5021–5031.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Steiniger B.,
    2. E. M. Timphus,
    3. R. Jacob,
    4. P. J. Barth
    . 2005. CD27+ B cells in human lymphatic organs: re-evaluating the splenic marginal zone. Immunology 116: 429–442.
    OpenUrlPubMed
  18. ↵
    1. Kruetzmann S.,
    2. M. M. Rosado,
    3. H. Weber,
    4. U. Germing,
    5. O. Tournilhac,
    6. H. H. Peter,
    7. R. Berner,
    8. A. Peters,
    9. T. Boehm,
    10. A. Plebani,
    11. et al
    . 2003. Human immunoglobulin M memory B cells controlling Streptococcus pneumoniae infections are generated in the spleen. J. Exp. Med. 197: 939–945.
    OpenUrlAbstract/FREE Full Text
  19. ↵
    1. Martinez-Gamboa L.,
    2. H. Mei,
    3. C. Loddenkemper,
    4. B. Ballmer,
    5. A. Hansen,
    6. P. E. Lipsky,
    7. F. Emmerich,
    8. A. Radbruch,
    9. A. Salama,
    10. T. Dörner
    . 2009. Role of the spleen in peripheral memory B-cell homeostasis in patients with autoimmune thrombocytopenia purpura. Clin. Immunol. 130: 199–212.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Cameron P. U.,
    2. P. Jones,
    3. M. Gorniak,
    4. K. Dunster,
    5. E. Paul,
    6. S. Lewin,
    7. I. Woolley,
    8. D. Spelman
    . 2011. Splenectomy associated changes in IgM memory B cells in an adult spleen registry cohort. PLoS ONE 6: e23164.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Mamani-Matsuda M.,
    2. A. Cosma,
    3. S. Weller,
    4. A. Faili,
    5. C. Staib,
    6. L. Garçon,
    7. O. Hermine,
    8. O. Beyne-Rauzy,
    9. C. Fieschi,
    10. J. O. Pers,
    11. et al
    . 2008. The human spleen is a major reservoir for long-lived vaccinia virus-specific memory B cells. Blood 111: 4653–4659.
    OpenUrlAbstract/FREE Full Text
  22. ↵
    1. Quiding-Järbrink M.,
    2. G. Granström,
    3. I. Nordström,
    4. J. Holmgren,
    5. C. Czerkinsky
    . 1995. Induction of compartmentalized B-cell responses in human tonsils. Infect. Immun. 63: 853–857.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Cao Y.,
    2. M. Gordic,
    3. S. Kobold,
    4. N. Lajmi,
    5. S. Meyer,
    6. K. Bartels,
    7. Y. Hildebrandt,
    8. T. Luetkens,
    9. A. S. Ihloff,
    10. N. Kröger,
    11. et al
    . 2010. An optimized assay for the enumeration of antigen-specific memory B cells in different compartments of the human body. J. Immunol. Methods 358: 56–65.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Corazza G. R.,
    2. L. Ginaldi,
    3. G. Zoli,
    4. M. Frisoni,
    5. G. Lalli,
    6. G. Gasbarrini,
    7. D. Quaglino
    . 1990. Howell-Jolly body counting as a measure of splenic function. A reassessment. Clin. Lab. Haematol. 12: 269–275.
    OpenUrlPubMed
  25. ↵
    1. Trepel F.
    1974. Number and distribution of lymphocytes in man. A critical analysis. Klin. Wochenschr. 52: 511–515.
    OpenUrlCrossRefPubMed
  26. ↵
    1. Frölich D.,
    2. C. Giesecke,
    3. H. E. Mei,
    4. K. Reiter,
    5. C. Daridon,
    6. P. E. Lipsky,
    7. T. Dörner
    . 2010. Secondary immunization generates clonally related antigen-specific plasma cells and memory B cells. J. Immunol. 185: 3103–3110.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    1. Hansen A.,
    2. K. Reiter,
    3. T. Dörner,
    4. A. Pruss
    . 2005. Cryopreserved human B cells as an alternative source for single cell mRNA analysis. Cell Tissue Bank. 6: 299–308.
    OpenUrlCrossRefPubMed
  28. ↵
    1. Souto-Carneiro M. M.,
    2. N. S. Longo,
    3. D. E. Russ,
    4. H. W. Sun,
    5. P. E. Lipsky
    . 2004. Characterization of the human Ig heavy chain antigen binding complementarity determining region 3 using a newly developed software algorithm, JOINSOLVER. J. Immunol. 172: 6790–6802.
    OpenUrlAbstract/FREE Full Text
  29. ↵
    1. Kabat E. A.,
    2. T. T. Wu,
    3. H. M. Perry,
    4. K. S. Gottesman,
    5. C. Foeller
    . 1991. Sequences of Proteins of Immunological Interest. Public Health Service, National Institutes of Health, Washington, DC.
  30. ↵
    1. Behlke M. A.,
    2. D. G. Spinella,
    3. H. S. Chou,
    4. W. Sha,
    5. D. L. Hartl,
    6. D. Y. Loh
    . 1985. T-cell receptor beta-chain expression: dependence on relatively few variable region genes. Science 229: 566–570.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Klein U.,
    2. K. Rajewsky,
    3. R. Küppers
    . 1998. Human immunoglobulin (Ig)M+IgD+ peripheral blood B cells expressing the CD27 cell surface antigen carry somatically mutated variable region genes: CD27 as a general marker for somatically mutated (memory) B cells. J. Exp. Med. 188: 1679–1689.
    OpenUrlAbstract/FREE Full Text
    1. Klein U.,
    2. R. Küppers,
    3. K. Rajewsky
    . 1997. Evidence for a large compartment of IgM-expressing memory B cells in humans. Blood 89: 1288–1298.
    OpenUrlAbstract/FREE Full Text
    1. Agematsu K.
    2000. Memory B cells and CD27. Histol. Histopathol. 15: 573–576.
    OpenUrlPubMed
  32. ↵
    1. Agematsu K.,
    2. S. Hokibara,
    3. H. Nagumo,
    4. A. Komiyama
    . 2000. CD27: a memory B-cell marker. Immunol. Today 21: 204–206.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Fecteau J. F.,
    2. G. Côté,
    3. S. Néron
    . 2006. A new memory CD27-IgG+ B cell population in peripheral blood expressing VH genes with low frequency of somatic mutation. J. Immunol. 177: 3728–3736.
    OpenUrlAbstract/FREE Full Text
  34. ↵
    1. Wei C.,
    2. J. Anolik,
    3. A. Cappione,
    4. B. Zheng,
    5. A. Pugh-Bernard,
    6. J. Brooks,
    7. E. H. Lee,
    8. E. C. Milner,
    9. I. Sanz
    . 2007. A new population of cells lacking expression of CD27 represents a notable component of the B cell memory compartment in systemic lupus erythematosus. J. Immunol. 178: 6624–6633.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. DeKosky B. J.,
    2. G. C. Ippolito,
    3. R. P. Deschner,
    4. J. J. Lavinder,
    5. Y. Wine,
    6. B. M. Rawlings,
    7. N. Varadarajan,
    8. C. Giesecke,
    9. T. Dörner,
    10. S. F. Andrews,
    11. et al
    . 2013. High-throughput sequencing of the paired human immunoglobulin heavy and light chain repertoire. Nat. Biotechnol. 31: 166–169.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Odendahl M.,
    2. H. Mei,
    3. B. F. Hoyer,
    4. A. M. Jacobi,
    5. A. Hansen,
    6. G. Muehlinghaus,
    7. C. Berek,
    8. F. Hiepe,
    9. R. Manz,
    10. A. Radbruch,
    11. T. Dörner
    . 2005. Generation of migratory antigen-specific plasma blasts and mobilization of resident plasma cells in a secondary immune response. Blood 105: 1614–1621.
    OpenUrlAbstract/FREE Full Text
  37. ↵
    1. Longo N. S.,
    2. P. L. Lugar,
    3. S. Yavuz,
    4. W. Zhang,
    5. P. H. Krijger,
    6. D. E. Russ,
    7. D. D. Jima,
    8. S. S. Dave,
    9. A. C. Grammer,
    10. P. E. Lipsky
    . 2009. Analysis of somatic hypermutation in X-linked hyper-IgM syndrome shows specific deficiencies in mutational targeting. Blood 113: 3706–3715.
    OpenUrlAbstract/FREE Full Text
  38. ↵
    1. Brezinschek H. P.,
    2. T. Dörner,
    3. N. L. Monson,
    4. R. I. Brezinschek,
    5. P. E. Lipsky
    . 2000. The influence of CD40-CD154 interactions on the expressed human V(H) repertoire: analysis of V(H) genes expressed by individual B cells of a patient with X-linked hyper-IgM syndrome. Int. Immunol. 12: 767–775.
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Rogozin I. B.,
    2. N. A. Kolchanov
    . 1992. Somatic hypermutagenesis in immunoglobulin genes. II. Influence of neighbouring base sequences on mutagenesis. Biochim. Biophys. Acta 1171: 11–18.
    OpenUrlPubMed
  40. ↵
    1. Slifka M. K.,
    2. R. Antia,
    3. J. K. Whitmire,
    4. R. Ahmed
    . 1998. Humoral immunity due to long-lived plasma cells. Immunity 8: 363–372.
    OpenUrlCrossRefPubMed
  41. ↵
    1. Berkowska M. A.,
    2. G. J. Driessen,
    3. V. Bikos,
    4. C. Grosserichter-Wagener,
    5. K. Stamatopoulos,
    6. A. Cerutti,
    7. B. He,
    8. K. Biermann,
    9. J. F. Lange,
    10. M. van der Burg,
    11. et al
    . 2011. Human memory B cells originate from three distinct germinal center-dependent and -independent maturation pathways. Blood 118: 2150–2158.
    OpenUrlAbstract/FREE Full Text
  42. ↵
    1. Tarlinton D.,
    2. K. Good-Jacobson
    . 2013. Diversity among memory B cells: origin, consequences, and utility. Science 341: 1205–1211.
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Steeber D. A.,
    2. N. E. Green,
    3. S. Sato,
    4. T. F. Tedder
    . 1996. Lymphocyte migration in L-selectin-deficient mice. Altered subset migration and aging of the immune system. J. Immunol. 157: 1096–1106.
    OpenUrlAbstract
  44. ↵
    1. Hauser A. E.,
    2. G. F. Debes,
    3. S. Arce,
    4. G. Cassese,
    5. A. Hamann,
    6. A. Radbruch,
    7. R. A. Manz
    . 2002. Chemotactic responsiveness toward ligands for CXCR3 and CXCR4 is regulated on plasma blasts during the time course of a memory immune response. J. Immunol. 169: 1277–1282.
    OpenUrlAbstract/FREE Full Text
  45. ↵
    1. Tangye S. G.,
    2. C. S. Ma,
    3. R. Brink,
    4. E. K. Deenick
    . 2013. The good, the bad and the ugly—TFH cells in human health and disease. Nat. Rev. Immunol. 13: 412–426.
    OpenUrlCrossRefPubMed
  46. ↵
    1. Hammarlund E.,
    2. M. W. Lewis,
    3. S. G. Hansen,
    4. L. I. Strelow,
    5. J. A. Nelson,
    6. G. J. Sexton,
    7. J. M. Hanifin,
    8. M. K. Slifka
    . 2003. Duration of antiviral immunity after smallpox vaccination. Nat. Med. 9: 1131–1137.
    OpenUrlCrossRefPubMed
  47. ↵
    1. Wrammert J.,
    2. K. Smith,
    3. J. Miller,
    4. W. A. Langley,
    5. K. Kokko,
    6. C. Larsen,
    7. N. Y. Zheng,
    8. I. Mays,
    9. L. Garman,
    10. C. Helms,
    11. et al
    . 2008. Rapid cloning of high-affinity human monoclonal antibodies against influenza virus. Nature 453: 667–671.
    OpenUrlCrossRefPubMed
    1. Wrammert J.,
    2. N. Onlamoon,
    3. R. S. Akondy,
    4. G. C. Perng,
    5. K. Polsrila,
    6. A. Chandele,
    7. M. Kwissa,
    8. B. Pulendran,
    9. P. C. Wilson,
    10. O. Wittawatmongkol,
    11. et al
    . 2012. Rapid and massive virus-specific plasmablast responses during acute dengue virus infection in humans. J. Virol. 86: 2911–2918.
    OpenUrlAbstract/FREE Full Text
    1. Qian Y.,
    2. C. Wei,
    3. F. Eun-Hyung Lee,
    4. J. Campbell,
    5. J. Halliley,
    6. J. A. Lee,
    7. J. Cai,
    8. Y. M. Kong,
    9. E. Sadat,
    10. E. Thomson,
    11. et al
    . 2010. Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data. Cytometry B Clin. Cytom. 78(Suppl 1): S69–S82.
    OpenUrlPubMed
  48. ↵
    1. Balakrishnan T.,
    2. D. B. Bela-Ong,
    3. Y. X. Toh,
    4. M. Flamand,
    5. S. Devi,
    6. M. B. Koh,
    7. M. L. Hibberd,
    8. E. E. Ooi,
    9. J. G. Low,
    10. Y. S. Leo,
    11. et al
    . 2011. Dengue virus activates polyreactive, natural IgG B cells after primary and secondary infection. PLoS ONE 6: e29430.
    OpenUrlCrossRefPubMed
  49. ↵
    1. Blanchard-Rohner G.,
    2. A. S. Pulickal,
    3. C. M. Jol-van der Zijde,
    4. M. D. Snape,
    5. A. J. Pollard
    . 2009. Appearance of peripheral blood plasma cells and memory B cells in a primary and secondary immune response in humans. Blood 114: 4998–5002.
    OpenUrlAbstract/FREE Full Text
  50. ↵
    1. Takahashi Y.,
    2. P. R. Dutta,
    3. D. M. Cerasoli,
    4. G. Kelsoe
    . 1998. In situ studies of the primary immune response to (4-hydroxy-3-nitrophenyl)acetyl. V. Affinity maturation develops in two stages of clonal selection. J. Exp. Med. 187: 885–895.
    OpenUrlAbstract/FREE Full Text
  51. ↵
    1. Bingham C. O., III.,
    2. R. J. Looney,
    3. A. Deodhar,
    4. N. Halsey,
    5. M. Greenwald,
    6. C. Codding,
    7. B. Trzaskoma,
    8. F. Martin,
    9. S. Agarwal,
    10. A. Kelman
    . 2010. Immunization responses in rheumatoid arthritis patients treated with rituximab: results from a controlled clinical trial. Arthritis Rheum. 62: 64–74.
    OpenUrlCrossRefPubMed
  52. ↵
    1. Anolik J. H.,
    2. J. Barnard,
    3. T. Owen,
    4. B. Zheng,
    5. S. Kemshetti,
    6. R. J. Looney,
    7. I. Sanz
    . 2007. Delayed memory B cell recovery in peripheral blood and lymphoid tissue in systemic lupus erythematosus after B cell depletion therapy. Arthritis Rheum. 56: 3044–3056.
    OpenUrlCrossRefPubMed
    1. Gong Q.,
    2. Q. Ou,
    3. S. Ye,
    4. W. P. Lee,
    5. J. Cornelius,
    6. L. Diehl,
    7. W. Y. Lin,
    8. Z. Hu,
    9. Y. Lu,
    10. Y. Chen,
    11. et al
    . 2005. Importance of cellular microenvironment and circulatory dynamics in B cell immunotherapy. J. Immunol. 174: 817–826.
    OpenUrlAbstract/FREE Full Text
  53. ↵
    1. Mei H. E.,
    2. D. Frölich,
    3. C. Giesecke,
    4. C. Loddenkemper,
    5. K. Reiter,
    6. S. Schmidt,
    7. E. Feist,
    8. C. Daridon,
    9. H. P. Tony,
    10. A. Radbruch,
    11. T. Dörner
    . 2010. Steady-state generation of mucosal IgA+ plasmablasts is not abrogated by B-cell depletion therapy with rituximab. Blood 116: 5181–5190.
    OpenUrlAbstract/FREE Full Text
  54. ↵
    1. Wasserstrom H.,
    2. J. Bussel,
    3. L. C. Lim,
    4. C. Cunningham-Rundles
    . 2008. Memory B cells and pneumococcal antibody after splenectomy. J. Immunol. 181: 3684–3689.
    OpenUrlAbstract/FREE Full Text
  55. ↵
    1. Muhammad K.,
    2. P. Roll,
    3. H. Einsele,
    4. T. Dörner,
    5. H. P. Tony
    . 2009. Delayed acquisition of somatic hypermutations in repopulated IGD+CD27+ memory B cell receptors after rituximab treatment. Arthritis Rheum. 60: 2284–2293.
    OpenUrlCrossRefPubMed
  56. ↵
    1. Liu Y. J.,
    2. C. Barthélémy,
    3. O. de Bouteiller,
    4. C. Arpin,
    5. I. Durand,
    6. J. Banchereau
    . 1995. Memory B cells from human tonsils colonize mucosal epithelium and directly present antigen to T cells by rapid up-regulation of B7-1 and B7-2. Immunity 2: 239–248.
    OpenUrlCrossRefPubMed
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The Journal of Immunology: 192 (7)
The Journal of Immunology
Vol. 192, Issue 7
1 Apr 2014
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Tissue Distribution and Dependence of Responsiveness of Human Antigen-Specific Memory B Cells
Claudia Giesecke, Daniela Frölich, Karin Reiter, Henrik E. Mei, Ina Wirries, Rainer Kuhly, Monica Killig, Timor Glatzer, Katharina Stölzel, Carsten Perka, Peter E. Lipsky, Thomas Dörner
The Journal of Immunology April 1, 2014, 192 (7) 3091-3100; DOI: 10.4049/jimmunol.1302783

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Tissue Distribution and Dependence of Responsiveness of Human Antigen-Specific Memory B Cells
Claudia Giesecke, Daniela Frölich, Karin Reiter, Henrik E. Mei, Ina Wirries, Rainer Kuhly, Monica Killig, Timor Glatzer, Katharina Stölzel, Carsten Perka, Peter E. Lipsky, Thomas Dörner
The Journal of Immunology April 1, 2014, 192 (7) 3091-3100; DOI: 10.4049/jimmunol.1302783
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