Literature DB >> 28319732

An antigen to remember: regulation of B cell memory in health and disease.

Aleta Pupovac1, Kim L Good-Jacobson2.   

Abstract

Vaccine success relies on the formation of immunity. Humoral immunity is critical and is mediated by long-lived antibody-secreting cells and memory B cells (MBCs). Chronic infectious diseases cause a significant global burden of disease; pathogens that evade the immune system can cause phenotypical and functional changes to immune memory populations. Thus, recent studies have focused on MBC subset function. IgM+ MBCs have emerged as important early responders in malaria. Atypical MBCs have functional qualities associated with exhaustion in chronic infectious diseases, but the requirements for their formation and where they localize remains unknown. Similarly, the T-bet-driven transcriptional program drives formation of MBCs phenotypically similar to atypical MBCs. Identifying protective or detrimental roles of MBC subsets, and their regulators, will be important for clinical intervention.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28319732      PMCID: PMC7126224          DOI: 10.1016/j.coi.2017.03.004

Source DB:  PubMed          Journal:  Curr Opin Immunol        ISSN: 0952-7915            Impact factor:   7.486


Current Opinion in Immunology 2017, 45:89–96 This review comes from a themed issue on Lymphocyte development and activation Edited by David Tarlinton and Gabriel D Victora For a complete overview see the and the Available online 17th March 2017 0952-7915/© 2017 Elsevier Ltd. All rights reserved.

Introduction

Infectious diseases are responsible for a significant global burden of disease [1, 2, 3, 4, 5]. These include human immunodeficiency virus (HIV) (which causes acquired immune deficiency syndrome (AIDs)), malaria, tuberculosis [3], neglected tropical diseases (caused by protozoan parasites, parasitic worms and animal-borne viruses) [4] and newly emerging infectious agents (including severe acute respiratory syndrome-coronavirus, Middle East respiratory syndrome-coronavirus, West Nile virus, Nipah virus, methicillin-resistant Staphylococcus aureus, novel influenza-A strains and the Ebola virus) [5]. Diseases such as HIV/AIDS, malaria and tuberculosis are particularly more pronounced in low socio-economic regions of developing countries [1, 2] and high rates of co-infection cause additional obstacles to successful clinical intervention [1]. Protective immunity depends on the longevity and rapid responsiveness to antigen of immune memory populations [6]. In the humoral arm of the immune system, immune memory consists of long-lived antibody-secreting plasma cells and memory B cells (MBCs). These high-affinity populations are generated during the initial immune response to infection and are mainly generated within the germinal center (GC), although they can also be generated in GC-independent pathways. Vaccines replicate this process without the threat replicating pathogens pose to the body. While vaccines have been the most effective intervention for many infectious diseases, there are still pathogens that have evaded successful vaccine design [7]. This can be the result of the genetic diversity of the pathogen, immune subversion and immunosuppression, and inconsistencies between local and systemic responses, for example, where a vaccine is not targeted to generating a mucosal immune response that may be critical for successful protection. In particular, persisting or recurrent pathogens such as HIV and Plasmodium are linked to an inadequate humoral response, in which the production of high-affinity neutralizing antibodies is delayed and the immune memory repertoire appears to be ineffective. MBC population heterogeneity provides the functional diversity needed for the immune system to fight infection and disease [6]. MBC subsets can be segregated based on B cell receptor (BCR) isotype, phenotype, and distinct functional responses in health or immune disorders. Disease can drive alterations to MBC phenotype and function, which in turn influence antibody responses to vaccination [6]. The characteristics and regulators that shape the role of MBC subsets in infection and disease remain to be elucidated, and delineating these will provide insight into whether MBCs are beneficial or detrimental in different disease states. This review will focus on dissecting the diversity and roles of MBCs currently trending in the literature, including immunoglobulin (Ig) M+, atypical and T box transcription factor (T-bet)+ MBCs, and their roles during infectious disease.

Function of IgM+ MBC in protective responses and in disease

The MBC population is heterogenous in both phenotype and function [8]. This diversity allows the population to balance self-renewal with differentiation during a secondary response. Classically, MBCs have been distinguished by their Ig isotype: IgM+ or class switched (IgG+ IgA+ and IgE+) [6], but they can also be distinguished into subsets by surface markers such as CD73, CD80 and PD-L2 [9]. MBC function had been defined by these subdivisions, for example, IgM+ MBCs proliferate and form secondary GCs for self-renewal and longevity of the MBC population, whilst IgG+ MBCs differentiate to become antibody-secreting cells [6] (Figure 1 , top panel). This distinction, however, is not absolute. It appears that the maturity of an MBC is the main predictor of whether it will reenter GCs or differentiate into an antibody-secreting cell during a secondary response, which correlates but is not absolutely dependent on Ig isotype. It is now evident that IgM+ MBCs can be both GC-derived and GC-independent, have unique phenotypes and functional properties compared to switched MBC, and persist to provide long-term memory [9•, 10, 11].
Figure 1

Diversity of IgM+ MBCs in health and disease. (Top panel) Antigen-specific IgM+ MBCs can renew the MBC repertoire through GC formation and re-entry, form antibody-secreting cells and undergo isotype switching to form IgG+ MBCs that terminally differentiate into antibody-secreting cells. (Middle panel) MSP1-specific IgM+ MBCs encompass characteristics of switched MBC, including the phenotypic expression of CD80 and CD73, and the ability to differentiate into antibody-secreting cells in either a T-dependent or T-independent manner. (Bottom panel) IgM+ MBCs that constitutively express BCL2 and contain the t(14;18)(q32;q21) translocation, are able to re-enter the GC and undergo positive selection to drive the formation of follicular lymphoma.

Diversity of IgM+ MBCs in health and disease. (Top panel) Antigen-specific IgM+ MBCs can renew the MBC repertoire through GC formation and re-entry, form antibody-secreting cells and undergo isotype switching to form IgG+ MBCs that terminally differentiate into antibody-secreting cells. (Middle panel) MSP1-specific IgM+ MBCs encompass characteristics of switched MBC, including the phenotypic expression of CD80 and CD73, and the ability to differentiate into antibody-secreting cells in either a T-dependent or T-independent manner. (Bottom panel) IgM+ MBCs that constitutively express BCL2 and contain the t(14;18)(q32;q21) translocation, are able to re-enter the GC and undergo positive selection to drive the formation of follicular lymphoma. While recent research has focused on defining subsets in vivo using immunization models, the role of IgM+ MBCs in chronic and recurrent disease remains ill defined. To this end, Pepper and colleagues produced B cell tetramers specific for blood stage Plasmodium chabaudi antigen, merozoite surface protein 1 (MSP1), to study antigen-specific MBCs in a model of malaria. MSP1-specific IgM+ MBCs were comparable to switched MBCs with respect to phenotypic expression of CD80 and CD73, their somatic hypermutation rates, affinity and function [12]. Interestingly, MSP1-specific MBCs were early responders, persisted and were dominant producers of antibody-secreting cells during secondary responses [12], suggesting that these cells play a protective role during reinfection (Figure 1, middle panel). Further, they were able to form antibody-secreting cells in the absence of T cell help. Genetic resistance to malaria has been correlated with enhanced IgM responses compared to IgG responses [8], also suggesting a possible role for IgM+ MBCs in long term protection from malaria. Given the propensity of IgM+ MBCs to generate new GCs [10, 11], IgM+ MBCs may also be important for expanding the MBC repertoire to target diversifying antigens. By providing the ability of GC re-entry, the option to renew the repertoire allows for flexibility to contain fast evolving antigens. However, if a mutation disrupts this process it may lead to development of disease. In this regard, in a chronic infection model where MBCs constitutively express B cell lymphoma 2 (BCL2) and contain the follicular lymphoma hallmark, IgH/BCL2 (t(14;18)(q32;q21)) translocation, IgM+ MBCs are able to re-enter GCs repeatedly upon chronic immunization, leading to and driving follicular lymphomagenesis [13] (Figure 1, lower panel). This finding revealed a novel role for IgM MBCs in cancer development and progression. A number of B cell leukemias and lymphomas express IgM and resemble MBCs in terms of phenotype and genetics [14]. It is unknown why IgM is commonly expressed, but considering IgM+ MBCs are poised to proliferate upon activation in comparison to switched MBCs, IgM+ MBCs may be at an increased risk to transform into constantly proliferating lymphomas [14].

Atypical MBCs are associated with exhaustion in chronic or recurrent infectious disease

MBC phenotype and function appears to be correlated with the nature of the infectious agent. In particular, the emergence of atypical or unresponsive MBCs has been associated with the presence of persistent antigen [15, 16]. Several studies have described the presence of an atypical MBC subset that is prominent in chronic infections including human immunodeficiency virus (HIV) [16, 17], malaria [15, 18•, 19, 20], HIV/malaria co-infected patients [21], hepatitis C [22] and cytomegalovirus infection [23]. These atypical MBCs are reportedly functionally impaired, often referred to as ‘exhausted’, due to the upregulation of inhibitory receptors, modulation of tissue trafficking receptors and poor proliferative abilities and antibody responses [15, 16, 18•, 19]. HIV-specific responses are enriched in functionally impaired atypical MBCs, suggesting that these cells are unable to produce antibody to target HIV antigens and explaining the poor HIV-specific antibody response in individuals [16]. This study was confirmed at a single cell level, using a trimeric HIV envelope probe, demonstrating that HIV-specific responses were enriched in an activated MBC subset prone to apoptosis [17]. Although a similar subset has been characterized in malaria patients, it is unclear whether atypical MBC are dysfunctional in malaria patients and thus whether they can be defined as the same subset as that found in HIV patients. A number of studies provide evidence of atypical dysfunctional MBCs in malaria [18•, 19, 20], although a conflicting study showed that atypical memory subsets could proliferate and secrete antibody [24]. While the latter study suggested atypical MBCs might originate from different precursors due to differences in their somatic hypermutation loads and clonal relationship, others have shown a common developmental history [19, 25]. This discrepancy may be related to the large diversity of antigens in this disease. The majority of studies to date did not profile antigen specificity of atypical MBCs, making it difficult to fully elucidate their biological roles in disease. B cell tetramers targeted for different antigens will be useful in future studies of phenotypes and functions of antigen-specific MBCs in responses to persisting or recurrent pathogens that can lead to chronic disease.

MBC tissue localization and the importance of defining tissue-based memory

The markers that are used to distinguish atypical MBCs from other MBC subsets include downregulation of CD27 and CD21 [15, 16, 17, 18•, 19, 20, 21, 22, 23, 24••, 25, 26]. Atypical MBCs and other CD21neg B cell subsets [27, 28, 29, 30, 31, 32] are enriched in the peripheral blood of patients with diseases involving chronic immune stimulation [33]. While CD21neg subsets tend to differ in the expression of CD27 and BCRs in different diseases, atypical and CD21neg subsets exhibit common expression of many inhibitory and cell activation receptors that are associated with exhaustion and anergy (Table 1 ) [33]. Commonalities across subsets includes the increased expression of CD11c and CXCR3, which are molecules involved in homing to sites of inflammation and reduced expression of CCR7, CD62L, CXCR4 and CXCR5 which are required for migration to spleen or lymph nodes (Table 1). This suggests that atypical MBCs and CD21neg B cells migrate to sites of inflammation. Fc-receptor like (FCRL) receptors, in particular FCRL4, was also commonly expressed on these subsets (Table 1). FCRL4 MBCs were first described as tissue-localized memory cells in healthy individuals [34], and are speculated to define atypical MBCs in malaria [15, 24••] and HIV [16] (Figure 2 ). Other more recent studies suggest that functionally impaired atypical memory in malaria is delineated by the expression of FCRL5 rather than FCRL4 [18•, 19, 35], which may be due to cross reactivity of FCRL4 antibodies used in previous studies [18], a factor that needs to be addressed in future studies.
Table 1

Inhibitory and activation receptor/gene expression on atypical MBCs and CD21neg B cells. Inhibitory and activation receptor/gene expression (↑—upregulation and ↓—downregulation) is shown compared to classical MBCs, naive or CD21+ B cells

Infection/diseaseReceptor/gene expressionReference
MalariaCD11c ↑, CD22 ↑, CD72 ↑, CD85j ↑, CD200R1 ↑, CXCR3 ↑, FCGR2B ↑, FCRL3 ↑, FCRL4 ↑, FCRL5 ↑, LILRB1 ↑, LILRB2 ↑, SIGLEC-6 ↑.[20, 23, 24••, 29]
CCR7 ↓,CD62L ↓, CXCR5 ↓.



Human immunodeficiency virusCD11c ↑,CD22 ↑, CD72 ↑, CD85j ↑, CXCR3 ↑, CCR6 ↑, FCGR2B ↑, FCRL4 ↑, LILRB1 ↑, LILRB2 ↑, SIGLEC-6 ↑.[20, 22]
CCR7 ↓, CD62L ↓, CXCR5 ↓.



CytomegalovirusCD11c ↑, CD22 ↑, CD72 ↑, CD85j ↑ CXCR3 ↑.[23]
CCR7 ↓, CD62L ↓, CXCR4 ↓, CXCR5 ↓.



Primary Sjogren’s syndromeCD11c ↑, CD22 ↑, CD72 ↑, FCRL2 ↑, FCRL3 ↑, SIGLEC ↑.[31]
CD1c ↓.



Rheumatoid arthritis and common variable immune deficiencyCD11c ↑, CD72 ↑, CRL2 ↑, CXCR3 ↑, CXCR6 ↑, FCGR2B ↑, FCRL3 ↑, FCRL5 ↑, FCRLM1 ↑, FCRLM2 ↑ LILRB ↑, SIGLEC ↑ SOX5 ↑.[32, 33, 34]
BCMA ↓, CCR7 ↓, CD40 ↓, CXCR5 ↓, IL4R ↓, IL13R ↓ OX40L ↓.



Hepatitis C associated-mixed cryoglobulinemiaCBLB ↑, CD22 ↑, CD72 ↑, CD200R1 ↑, EGR2 ↑, FCRL4 ↑, LAX1 ↑, LGALS1 ↑, Stra13 ↑, ZEB2 ↑.[35, 36••, 37]
FOXP1 ↓, IL-4R ↓, TCL1 ↓.
Figure 2

Diversity of FCRL4+ MBCs in health and disease. (1) FCRL4+ tissue-like MBCs derived from tonsils of healthy individuals are poised to secrete antibody but do not proliferate after BCR ligation or bacterial stimulation. Tissue-like MBCs express high levels of CXCR3, CD11c and CCR6 and low levels of CCR7, CXCR5 and CXCR4. These cells also express activation markers CD80 and CD86. (2) FCRL4+ tissue-like MBCs found in the blood of patients with HIV are associated with exhaustion. Like tonsil-derived MBCs, these have a similar expression profile of trafficking receptors, but express additional inhibitory receptors and proliferate poorly after BCR ligation or bacterial stimulation. (3) Whether FCRL4+ atypical MBCs found in malaria are exhausted remains controversial. While some studies have shown factors associated with exhaustion including a lack of antibody secretion, poor proliferation, inhibitory receptor expression and similar trafficking expression profile to FCRL4+ MBCs in HIV, others have shown these cells secrete neutralizing antibody, proliferate and express activation markers.

Inhibitory and activation receptor/gene expression on atypical MBCs and CD21neg B cells. Inhibitory and activation receptor/gene expression (↑—upregulation and ↓—downregulation) is shown compared to classical MBCs, naive or CD21+ B cells Diversity of FCRL4+ MBCs in health and disease. (1) FCRL4+ tissue-like MBCs derived from tonsils of healthy individuals are poised to secrete antibody but do not proliferate after BCR ligation or bacterial stimulation. Tissue-like MBCs express high levels of CXCR3, CD11c and CCR6 and low levels of CCR7, CXCR5 and CXCR4. These cells also express activation markers CD80 and CD86. (2) FCRL4+ tissue-like MBCs found in the blood of patients with HIV are associated with exhaustion. Like tonsil-derived MBCs, these have a similar expression profile of trafficking receptors, but express additional inhibitory receptors and proliferate poorly after BCR ligation or bacterial stimulation. (3) Whether FCRL4+ atypical MBCs found in malaria are exhausted remains controversial. While some studies have shown factors associated with exhaustion including a lack of antibody secretion, poor proliferation, inhibitory receptor expression and similar trafficking expression profile to FCRL4+ MBCs in HIV, others have shown these cells secrete neutralizing antibody, proliferate and express activation markers. The role of atypical MBCs in tissue localization is undefined in disease and warrants investigation, given that a recent study suggested tissue localization could provide broader protection from highly mutating viruses [36]. MBCs residing at the site of influenza infection develop from persistent GCs in the lung, are highly mutated, and have cross-reactive antibody responses that neutralize flu escape variants [36]. Defining the pathways that result in cross-reactivity may have significant implications for the creation of broadly protective vaccines against highly mutating pathogens and may help to shed light on discrepancies between systemic versus localized responses to vaccines. Furthermore, characterizing migration to and out of tissues will shed light on intrinsic and extrinsic regulators of MBCs during chronic infection. For example, IFN-I production in chronic lymphocytic choriomeningitis virus (LCMV) infection recruits T cells, monocytes and dendritic cells to directly act on antigen-specific B cells and thus inhibit LCMV-neutralizing antibody responses [37, 38, 39]. Currently there are no in vivo models of atypical memory, yet understanding migration and localization of both classical and atypical memory will be important in determining targets for clinical intervention.

Formation and regulation of T-bet+ MBCs after infection and in autoimmune conditions

Transcription factors are essential in regulating B cell differentiation [40]. B cell-specific T-bet expression is essential for IgG2a/c MBC survival [41], drives interferon γ (IFNγ)-mediated IgG2a/c class switching and upregulates CXCR3 expression on MBCs to allow migration to sites of inflammation [42]. In chronic LCMV infection, B cell-specific T-bet controls IgG2a/c production and is required to contain persistent infection [43] (Figure 3 ), as well as a transcriptional program that affects cell migration, localization, differentiation, proliferation and antibody development compared to T-bet− cells [43]. In particular, T-bet+ MBCs express high levels of CXCR3 (Figure 3), which is also expressed on atypical MBCs [15, 16, 23] and other CD21neg B cell subsets [33] (Table 1). Consistent with CXCR3 expression, T-bet MBCs have been found in small intestinal mucosa [43], which is a site of inflammation induced by chronic LCMV infection [44]. This suggests that T-bet is involved in the control of multiple immune functions including tissue localization during chronic infection [43]. In this regard, T-bet may be involved in the formation and function of MBCs that reside at the site of influenza infection and have cross-reactive antibody responses that neutralize flu escape variants [36]. While there is a lack of studies examining the role of T-bet on atypical MBCs; one study has shown high expression of the T-bet gene, Tbx21 in FCRL5+ cells in healthy individuals [35]. Furthermore, T-bet is reported to regulate CD8+ T cell exhaustion in HIV infection [45]. Revealing a role for T-bet in formation and/or function of atypical MBCs may prove additional insight into dysfunctional humoral responses.
Figure 3

Roles of T-bet+ MBCs in disease. (1) T-bet and IgG2a/c are required to contain persisting infection in a chronic model of LCMV. T-bet+ MBCs express high levels of CXCR3, a chemokine involved in the migration of cells to sites of inflammation. (2) In TLR7-activated B cells, the Tfh cytokine milieu regulates the formation of T-bet+ CD11c+ MBCs in infection. In influenza infection, the absence of IFN-γ and IL-4 drives T-bet+ CD11c+ subset formation, while in helminth infection the absence of IL-4 drives the formation of this subset. (3) TLR7 activation in MBCs associated with aging and autoimmunity also drives the formation of T-bet+ and CD11c+ subsets, contributing to the production of autoantibodies.

Roles of T-bet+ MBCs in disease. (1) T-bet and IgG2a/c are required to contain persisting infection in a chronic model of LCMV. T-bet+ MBCs express high levels of CXCR3, a chemokine involved in the migration of cells to sites of inflammation. (2) In TLR7-activated B cells, the Tfh cytokine milieu regulates the formation of T-bet+ CD11c+ MBCs in infection. In influenza infection, the absence of IFN-γ and IL-4 drives T-bet+ CD11c+ subset formation, while in helminth infection the absence of IL-4 drives the formation of this subset. (3) TLR7 activation in MBCs associated with aging and autoimmunity also drives the formation of T-bet+ and CD11c+ subsets, contributing to the production of autoantibodies. T-bet and CD11c expression on Toll-like receptor (TLR)-activated B cells is regulated by the T-follicular helper cell-associated cytokines, IL-21, IFN-γ and IL-4 [46]. In particular, T-bet+ CD11c+ MBCs are promoted in IL-4-low environments. For example, after infection with influenza (which induces IL-21, IFN-γ and IL-4 microenvironments), T-bet+ CD11c+ MBCs are present in large quantities in IFN-γ and IL-4 double knockout mice, but not in IFN-γ knockout mice (Figure 3). In helminth infection (IL-21 and IL-4 present), T-bet+ CD11c+ MBCs are present in IL-4 knockout mice but not in wild-type mice (Figure 3). TLR7 activation also induces a CD11c+ subset in age-associated or autoimmune-associated B cells [28]. Interestingly, transcript profiling of this subset revealed high expression of T-bet [28] (Figure 3). This subset is CD21neg, has blunted BCR responses (similar to atypical MBCs), accumulates in aged female mice, forms early in female autoimmune prone mice and is present in patients with rheumatoid arthritis [28, 47]. Furthermore, this subset directly contributes to the production of autoantibodies and therefore may contribute to autoimmunity [28] (Figure 3). CD11c is also highly expressed on atypical MBCs, other CD21neg subsets (Table 1) [15, 16, 19, 20, 24••, 26, 28, 29], and in FCRL4+ MBCs that may play a role in mucosal defense [48]. Interestingly, many CD21neg subsets in disease also express IgM [33]. Determining the relationship between TLR engagement, T-bet activation, CD21, CXCR3, CD11c and IgM in MBCs may reveal mechanistic commonalities in dysfunctional humoral disorders that are characterized by aberrant immune stimulation.

Formation and regulation of MBC subsets

The common expression of inhibitory, migration and activation markers on atypical MBCs (Table 1) and in T-bet+ MBCs present in chronic infection, aging and autoimmunity suggests that a T-bet-driven transcriptional program may regulate the formation and/or function of atypical memory, in addition to age/autoimmune-associated subsets. Several questions arise: Is T-bet involved in tissue localization of atypical MBCs and other MBC subsets, if so how does this contribute to disease? In IL-4 low disease environments, such as T helper cell 1 dominant conditions, do T-bet+ CD11c+ MBCs possess the phenotypical and functional qualities of exhausted atypical MBCs and CD21neg cells? It will be critical to determine both intrinsic and extrinsic regulators of these cells to understand their contribution to immune responses in both health and disease. Although this population has been described in many studies, there is currently no in vivo model of atypical MBCs. Developing such a model would allow mechanistic studies into the formation, function and cellular interactions between different memory subsets, as well as with T cells, in an environment of persistent antigen. These studies may reveal if atypical MBCs and related subsets are protective or detrimental in acute or chronic infections.

Conclusions

In diseases involving highly diversifying antigen, MBC heterogeneity may be central in containing chronic infection. IgM+ MBCs have emerged as important early responders in malaria re-infection and therefore may be vital in early parasite clearance in humans. Whether IgM+ MBCs function as early responders in other chronic infections remains to be determined. Atypical MBCs and other CD21neg subsets are exhausted in several different chronic infectious diseases, but how these different diseases affect this subset and how they are formed and function within these diseases remains unknown. Targeting commonly expressed inhibitory and activation markers may provide a therapeutic avenue to ameliorate putative detrimental effects of atypical MBCs. Short inhibitory RNA knockdown of inhibitory receptors on atypical MBCs in HIV enhanced BCR-mediated proliferation, in particular the largest effect was observed when targeting FCRL4 and sialic acid-binding immunoglobulin-type lectin 6 (Siglec-6) [49]. These and other commonly expressed receptors may be potential targets for receptor antagonists to reactivate MBCs and induce protective antibody responses. Lastly, T-bet-driven transcriptional regulation may be involved in the formation and function of atypical MBCs and age/autoimmune-associated subsets. Identifying the characteristics and regulators of MBC heterogeneity in the context of chronic infection, and the impact on the generation of classical memory, will be important for innovative solutions to eradicate these diseases.

Conflict of interest

The authors declare no conflict of interest.

References and recommended reading

Papers of particular interest, published within the period of review, have been highlighted as: • of special interest •• of outstanding interest
  49 in total

1.  Attenuation of HIV-associated human B cell exhaustion by siRNA downregulation of inhibitory receptors.

Authors:  Lela Kardava; Susan Moir; Wei Wang; Jason Ho; Clarisa M Buckner; Jacqueline G Posada; Marie A O'Shea; Gregg Roby; Jenny Chen; Hae Won Sohn; Tae-Wook Chun; Susan K Pierce; Anthony S Fauci
Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

2.  Expansion of functionally anergic CD21-/low marginal zone-like B cell clones in hepatitis C virus infection-related autoimmunity.

Authors:  Benjamin Terrier; Florence Joly; Thomas Vazquez; Philippe Benech; Michelle Rosenzwajg; Wassila Carpentier; Marlène Garrido; Pascale Ghillani-Dalbin; David Klatzmann; Patrice Cacoub; David Saadoun
Journal:  J Immunol       Date:  2011-11-14       Impact factor: 5.422

Review 3.  CD21 -/low B cells: A Snapshot of a Unique B Cell Subset in Health and Disease.

Authors:  K Thorarinsdottir; A Camponeschi; I Gjertsson; I-L Mårtensson
Journal:  Scand J Immunol       Date:  2015-09       Impact factor: 3.487

Review 4.  Memory B cells.

Authors:  Tomohiro Kurosaki; Kohei Kometani; Wataru Ise
Journal:  Nat Rev Immunol       Date:  2015-02-13       Impact factor: 53.106

5.  Type I interferon suppresses virus-specific B cell responses by modulating CD8+ T cell differentiation.

Authors:  E Ashley Moseman; Tuoqi Wu; Juan Carlos de la Torre; Pamela L Schwartzberg; Dorian B McGavern
Journal:  Sci Immunol       Date:  2016-10-21

6.  Toll-like receptor 7 (TLR7)-driven accumulation of a novel CD11c⁺ B-cell population is important for the development of autoimmunity.

Authors:  Anatoly V Rubtsov; Kira Rubtsova; Aryeh Fischer; Richard T Meehan; Joann Z Gillis; John W Kappler; Philippa Marrack
Journal:  Blood       Date:  2011-05-04       Impact factor: 22.113

7.  Clonal B cells of HCV-associated mixed cryoglobulinemia patients contain exhausted marginal zone-like and CD21 low cells overexpressing Stra13.

Authors:  Marcella Visentini; Maria Cagliuso; Valentina Conti; Maurizio Carbonari; Marina Cibati; Giulia Siciliano; Cristina Cristofoletti; Giandomenico Russo; Milvia Casato; Massimo Fiorilli
Journal:  Eur J Immunol       Date:  2012-06       Impact factor: 5.532

Review 8.  Human memory B cells.

Authors:  M Seifert; R Küppers
Journal:  Leukemia       Date:  2016-08-08       Impact factor: 11.528

9.  Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Christopher J L Murray; Katrina F Ortblad; Caterina Guinovart; Stephen S Lim; Timothy M Wolock; D Allen Roberts; Emily A Dansereau; Nicholas Graetz; Ryan M Barber; Jonathan C Brown; Haidong Wang; Herbert C Duber; Mohsen Naghavi; Daniel Dicker; Lalit Dandona; Joshua A Salomon; Kyle R Heuton; Kyle Foreman; David E Phillips; Thomas D Fleming; Abraham D Flaxman; Bryan K Phillips; Elizabeth K Johnson; Megan S Coggeshall; Foad Abd-Allah; Semaw Ferede Abera; Jerry P Abraham; Ibrahim Abubakar; Laith J Abu-Raddad; Niveen Me Abu-Rmeileh; Tom Achoki; Austine Olufemi Adeyemo; Arsène Kouablan Adou; José C Adsuar; Emilie Elisabet Agardh; Dickens Akena; Mazin J Al Kahbouri; Deena Alasfoor; Mohammed I Albittar; Gabriel Alcalá-Cerra; Miguel Angel Alegretti; Zewdie Aderaw Alemu; Rafael Alfonso-Cristancho; Samia Alhabib; Raghib Ali; Francois Alla; Peter J Allen; Ubai Alsharif; Elena Alvarez; Nelson Alvis-Guzman; Adansi A Amankwaa; Azmeraw T Amare; Hassan Amini; Walid Ammar; Benjamin O Anderson; Carl Abelardo T Antonio; Palwasha Anwari; Johan Arnlöv; Valentina S Arsic Arsenijevic; Ali Artaman; Rana J Asghar; Reza Assadi; Lydia S Atkins; Alaa Badawi; Kalpana Balakrishnan; Amitava Banerjee; Sanjay Basu; Justin Beardsley; Tolesa Bekele; Michelle L Bell; Eduardo Bernabe; Tariku Jibat Beyene; Neeraj Bhala; Ashish Bhalla; Zulfiqar A Bhutta; Aref Bin Abdulhak; Agnes Binagwaho; Jed D Blore; Berrak Bora Basara; Dipan Bose; Michael Brainin; Nicholas Breitborde; Carlos A Castañeda-Orjuela; Ferrán Catalá-López; Vineet K Chadha; Jung-Chen Chang; Peggy Pei-Chia Chiang; Ting-Wu Chuang; Mercedes Colomar; Leslie Trumbull Cooper; Cyrus Cooper; Karen J Courville; Benjamin C Cowie; Michael H Criqui; Rakhi Dandona; Anand Dayama; Diego De Leo; Louisa Degenhardt; Borja Del Pozo-Cruz; Kebede Deribe; Don C Des Jarlais; Muluken Dessalegn; Samath D Dharmaratne; Uğur Dilmen; Eric L Ding; Tim R Driscoll; Adnan M Durrani; Richard G Ellenbogen; Sergey Petrovich Ermakov; Alireza Esteghamati; Emerito Jose A Faraon; Farshad Farzadfar; Seyed-Mohammad Fereshtehnejad; Daniel Obadare Fijabi; Mohammad H Forouzanfar; Urbano Fra Paleo; Lynne Gaffikin; Amiran Gamkrelidze; Fortuné Gbètoho Gankpé; Johanna M Geleijnse; Bradford D Gessner; Katherine B Gibney; Ibrahim Abdelmageem Mohamed Ginawi; Elizabeth L Glaser; Philimon Gona; Atsushi Goto; Hebe N Gouda; Harish Chander Gugnani; Rajeev Gupta; Rahul Gupta; Nima Hafezi-Nejad; Randah Ribhi Hamadeh; Mouhanad Hammami; Graeme J Hankey; Hilda L Harb; Josep Maria Haro; Rasmus Havmoeller; Simon I Hay; Mohammad T Hedayati; Ileana B Heredia Pi; Hans W Hoek; John C Hornberger; H Dean Hosgood; Peter J Hotez; Damian G Hoy; John J Huang; Kim M Iburg; Bulat T Idrisov; Kaire Innos; Kathryn H Jacobsen; Panniyammakal Jeemon; Paul N Jensen; Vivekanand Jha; Guohong Jiang; Jost B Jonas; Knud Juel; Haidong Kan; Ida Kankindi; Nadim E Karam; André Karch; Corine Kakizi Karema; Anil Kaul; Norito Kawakami; Dhruv S Kazi; Andrew H Kemp; Andre Pascal Kengne; Andre Keren; Maia Kereselidze; Yousef Saleh Khader; Shams Eldin Ali Hassan Khalifa; Ejaz Ahmed Khan; Young-Ho Khang; Irma Khonelidze; Yohannes Kinfu; Jonas M Kinge; Luke Knibbs; Yoshihiro Kokubo; S Kosen; Barthelemy Kuate Defo; Veena S Kulkarni; Chanda Kulkarni; Kaushalendra Kumar; Ravi B Kumar; G Anil Kumar; Gene F Kwan; Taavi Lai; Arjun Lakshmana Balaji; Hilton Lam; Qing Lan; Van C Lansingh; Heidi J Larson; Anders Larsson; Jong-Tae Lee; James Leigh; Mall Leinsalu; Ricky Leung; Yichong Li; Yongmei Li; Graça Maria Ferreira De Lima; Hsien-Ho Lin; Steven E Lipshultz; Shiwei Liu; Yang Liu; Belinda K Lloyd; Paulo A Lotufo; Vasco Manuel Pedro Machado; Jennifer H Maclachlan; Carlos Magis-Rodriguez; Marek Majdan; Christopher Chabila Mapoma; Wagner Marcenes; Melvin Barrientos Marzan; Joseph R Masci; Mohammad Taufiq Mashal; Amanda J Mason-Jones; Bongani M Mayosi; Tasara T Mazorodze; Abigail Cecilia Mckay; Peter A Meaney; Man Mohan Mehndiratta; Fabiola Mejia-Rodriguez; Yohannes Adama Melaku; Ziad A Memish; Walter Mendoza; Ted R Miller; Edward J Mills; Karzan Abdulmuhsin Mohammad; Ali H Mokdad; Glen Liddell Mola; Lorenzo Monasta; Marcella Montico; Ami R Moore; Rintaro Mori; Wilkister Nyaora Moturi; Mitsuru Mukaigawara; Kinnari S Murthy; Aliya Naheed; Kovin S Naidoo; Luigi Naldi; Vinay Nangia; K M Venkat Narayan; Denis Nash; Chakib Nejjari; Robert G Nelson; Sudan Prasad Neupane; Charles R Newton; Marie Ng; Muhammad Imran Nisar; Sandra Nolte; Ole F Norheim; Vincent Nowaseb; Luke Nyakarahuka; In-Hwan Oh; Takayoshi Ohkubo; Bolajoko O Olusanya; Saad B Omer; John Nelson Opio; Orish Ebere Orisakwe; Jeyaraj D Pandian; Christina Papachristou; Angel J Paternina Caicedo; Scott B Patten; Vinod K Paul; Boris Igor Pavlin; Neil Pearce; David M Pereira; Aslam Pervaiz; Konrad Pesudovs; Max Petzold; Farshad Pourmalek; Dima Qato; Amado D Quezada; D Alex Quistberg; Anwar Rafay; Kazem Rahimi; Vafa Rahimi-Movaghar; Sajjad Ur Rahman; Murugesan Raju; Saleem M Rana; Homie Razavi; Robert Quentin Reilly; Giuseppe Remuzzi; Jan Hendrik Richardus; Luca Ronfani; Nobhojit Roy; Nsanzimana Sabin; Mohammad Yahya Saeedi; Mohammad Ali Sahraian; Genesis May J Samonte; Monika Sawhney; Ione J C Schneider; David C Schwebel; Soraya Seedat; Sadaf G Sepanlou; Edson E Servan-Mori; Sara Sheikhbahaei; Kenji Shibuya; Hwashin Hyun Shin; Ivy Shiue; Rupak Shivakoti; Inga Dora Sigfusdottir; Donald H Silberberg; Andrea P Silva; Edgar P Simard; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Samir Soneji; Sergey S Soshnikov; Chandrashekhar T Sreeramareddy; Vasiliki Kalliopi Stathopoulou; Konstantinos Stroumpoulis; Soumya Swaminathan; Bryan L Sykes; Karen M Tabb; Roberto Tchio Talongwa; Eric Yeboah Tenkorang; Abdullah Sulieman Terkawi; Alan J Thomson; Andrew L Thorne-Lyman; Jeffrey A Towbin; Jefferson Traebert; Bach X Tran; Zacharie Tsala Dimbuene; Miltiadis Tsilimbaris; Uche S Uchendu; Kingsley N Ukwaja; Selen Begüm Uzun; Andrew J Vallely; Tommi J Vasankari; N Venketasubramanian; Francesco S Violante; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Stephen Waller; Mitchell T Wallin; Linhong Wang; XiaoRong Wang; Yanping Wang; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Ronny Westerman; Richard A White; James D Wilkinson; Thomas Neil Williams; Solomon Meseret Woldeyohannes; John Q Wong; Gelin Xu; Yang C Yang; Yuichiro Yano; Gokalp Kadri Yentur; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Younis; Chuanhua Yu; Kim Yun Jin; Maysaa El Sayed Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Xiao Nong Zou; Alan D Lopez; Theo Vos
Journal:  Lancet       Date:  2014-07-22       Impact factor: 79.321

10.  Evidence for HIV-associated B cell exhaustion in a dysfunctional memory B cell compartment in HIV-infected viremic individuals.

Authors:  Susan Moir; Jason Ho; Angela Malaspina; Wei Wang; Angela C DiPoto; Marie A O'Shea; Gregg Roby; Shyam Kottilil; James Arthos; Michael A Proschan; Tae-Wook Chun; Anthony S Fauci
Journal:  J Exp Med       Date:  2008-07-14       Impact factor: 14.307

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  9 in total

Review 1.  Atypical memory B cells in human chronic infectious diseases: An interim report.

Authors:  Silvia Portugal; Nyamekye Obeng-Adjei; Susan Moir; Peter D Crompton; Susan K Pierce
Journal:  Cell Immunol       Date:  2017-07-11       Impact factor: 4.868

Review 2.  B-cell abnormalities in HIV-1 infection: roles for IgG3 and T-bet.

Authors:  Lela Kardava; Susan Moir
Journal:  Curr Opin HIV AIDS       Date:  2019-07       Impact factor: 4.283

3.  IgG3 regulates tissue-like memory B cells in HIV-infected individuals.

Authors:  Lela Kardava; Haewon Sohn; Christine Youn; James W Austin; Wei Wang; Clarisa M Buckner; J Shawn Justement; Valerie A Melson; Gwynne E Roth; Marissa A Hand; Kathleen R Gittens; Richard W Kwan; Michael C Sneller; Yuxing Li; Tae-Wook Chun; Peter D Sun; Susan K Pierce; Susan Moir
Journal:  Nat Immunol       Date:  2018-08-13       Impact factor: 25.606

4.  Shared transcriptional profiles of atypical B cells suggest common drivers of expansion and function in malaria, HIV, and autoimmunity.

Authors:  Prasida Holla; Brian Dizon; Abhijit A Ambegaonkar; Noga Rogel; Ella Goldschmidt; Arun K Boddapati; Haewon Sohn; Dan Sturdevant; James W Austin; Lela Kardava; Li Yuesheng; Poching Liu; Susan Moir; Susan K Pierce; Asaf Madi
Journal:  Sci Adv       Date:  2021-05-26       Impact factor: 14.136

5.  Malaria-induced interferon-γ drives the expansion of Tbethi atypical memory B cells.

Authors:  Nyamekye Obeng-Adjei; Silvia Portugal; Prasida Holla; Shanping Li; Haewon Sohn; Abhijit Ambegaonkar; Jeff Skinner; Georgina Bowyer; Ogobara K Doumbo; Boubacar Traore; Susan K Pierce; Peter D Crompton
Journal:  PLoS Pathog       Date:  2017-09-27       Impact factor: 6.823

Review 6.  Immunopathogenesis in Myasthenia Gravis and Neuromyelitis Optica.

Authors:  Zhen Wang; Yaping Yan
Journal:  Front Immunol       Date:  2017-12-12       Impact factor: 7.561

Review 7.  Tailoring Immune Responses toward Autoimmunity: Transcriptional Regulators That Drive the Creation and Collusion of Autoreactive Lymphocytes.

Authors:  Kim L Good-Jacobson; Joanna R Groom
Journal:  Front Immunol       Date:  2018-03-08       Impact factor: 7.561

8.  Dissection of the Pre-Germinal Center B-Cell Maturation Pathway in Common Variable Immunodeficiency Based on Standardized Flow Cytometric EuroFlow Tools.

Authors:  Lucía Del Pino-Molina; Eduardo López-Granados; Quentin Lecrevisse; Juan Torres Canizales; Martín Pérez-Andrés; Elena Blanco; Marjolein Wentink; Carolien Bonroy; Jana Nechvatalova; Tomas Milota; Anne-Kathrin Kienzler; Jan Philippé; Ana E Sousa; Mirjam van der Burg; Tomas Kalina; Jacques J M van Dongen; Alberto Orfao
Journal:  Front Immunol       Date:  2021-02-17       Impact factor: 7.561

9.  T-Bet+ IgM Memory Cells Generate Multi-lineage Effector B Cells.

Authors:  Kevin J Kenderes; Russell C Levack; Amber M Papillion; Berenice Cabrera-Martinez; Lisa M Dishaw; Gary M Winslow
Journal:  Cell Rep       Date:  2018-07-24       Impact factor: 9.423

  9 in total

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