Visualizing Early Splenic Memory CD8+ T Cells Reactivation against Intracellular Bacteria in the Mouse

Memory CD8⁺ T cells represent an important effector arm of the immune response in maintaining long-lived protective immunity against viruses and some intracellular bacteria such as Listeria monocytogenes (L.m). Memory CD8⁺ T cells are endowed with enhanced antimicrobial effector functions that perfectly tail them to rapidly eradicate invading pathogens. It is largely accepted that these functions are sufficient to explain how memory CD8⁺ T cells can mediate rapid protection. However, it is important to point out that such improved functional features would be useless if memory cells were unable to rapidly find the pathogen loaded/infected cells within the infected organ. Growing evidences suggest that the anatomy of secondary lymphoid organs (SLOs) fosters the cellular interactions required to initiate naive adaptive immune responses. However, very little is known on how the SLOs structures regulate memory immune responses. Using Listeria monocytogenes (L.m) as a murine infection model and imaging techniques, we have investigated if and how the architecture of the spleen plays a role in the reactivation of memory CD8⁺ T cells and the subsequent control of L.m growth. We observed that in the mouse, memory CD8⁺ T cells start to control L.m burden 6 hours after the challenge infection. At this very early time point, L.m-specific and non-specific memory CD8⁺ T cells localize in the splenic red pulp and form clusters around L.m infected cells while naïve CD8⁺ T cells remain in the white pulp. Within these clusters that only last few hours, memory CD8⁺ T produce inflammatory cytokines such as IFN-γ and CCL3 nearby infected myeloid cells known to be crucial for L.m killing. Altogether, we describe how memory CD8⁺ T cells trafficking properties and the splenic micro-anatomy conjugate to create a spatio-temporal window during which memory CD8⁺ T cells provide a local response by secreting effector molecules around infected cells.     

Naïve and Memory CD4 T Cells Differ in Their Susceptibilities to Human Immunodeficiency Virus Type 1 Infection following CD28 Costimulation: Implications for Transmission and Pathogenesis

In vitro evidence suggests that memory CD4⁺ cells are preferentially infected by human immunodeficiency virus type 1 (HIV-1), yet studies of HIV-1-infected individuals have failed to detect preferential memory cell depletion. To explore this paradox, we stimulated CD45RA⁺ CD4⁺ (naïve) and CD45RO⁺ CD4⁺ (memory) cells with antibodies to CD3 and CD28 and infected them with either CCR5-dependent (R5) or CXCR4-dependent (X4) HIV-1 isolates. Naïve CD4⁺ cells supported less X4 HIV replication than their memory counterparts. However, naïve cells were susceptible to R5 viral infection, while memory cells remained resistant to infection and viral replication. As with the unseparated cells, mixing the naïve and memory cells prior to infection resulted in cells resistant to R5 infection and highly susceptible to X4 infection. While both naïve and memory CD4⁺ subsets downregulated CCR5 expression in response to CD28 costimulation, only the memory cells produced high levels of the β-chemokines RANTES, MIP-1α, and MIP-1β upon stimulation. Neutralization of these β-chemokines rendered memory CD4⁺ cells highly sensitive to infection with R5 HIV-1 isolates, indicating that downregulation of CCR5 is not sufficient to mediate complete protection from CCR5 strains of HIV-1. These results indicate that susceptibility to R5 HIV-1 isolates is determined not only by the level of CCR5 expression but also by the balance of CCR5 expression and β-chemokine production. Furthermore, our results suggest a model of HIV-1 transmission and pathogenesis in which naïve rather than memory CD4⁺ T cells serve as the targets for early rounds of HIV-1 replication.     

High Frequencies of Virus-Specific CD8+ T-Cell Precursors

A productive CD8⁺ T-cell response to a viral infection requires rapid division and proliferation of virus-specific CD8⁺ T cells. Tetramer-based enrichment assays have recently given estimates of the numbers of peptide-major histocompatibility complex-specific CD8⁺ T cells in naïve mice, but precursor frequencies for entire viruses have been examined only by using in vitro limiting-dilution assays (LDAs). To examine CD8⁺ T-cell precursor frequencies for whole viruses, we developed an in vivo LDA and found frequencies of naïve CD8⁺ T-cell precursors of 1 in 1,444 for vaccinia virus (VV) (∼13,850 VV-specific CD8⁺ T cells per mouse) and 1 in 2,958 for lymphocytic choriomeningitis virus (LCMV) (∼6,761 LCMV-specific CD8⁺ T cells per mouse) in C57BL/6J mice. In mice immune to VV, the number of VV-specific precursors, not surprisingly, dramatically increased to 1 in 13 (∼1,538,462 VV-specific CD8⁺ T cells per mouse), consistent with estimates of VV-specific memory T cells. In contrast, precursor numbers for LCMV did not increase in VV-immune mice (1 in 4,562, with ∼4,384 LCMV-specific CD8⁺ T cells per VV-immune mouse). Using H-2D^b-restricted LCMV GP33-specific P14-transgenic T cells, we found that, after donor T-cell take was accounted for, approximately every T cell transferred underwent a full proliferative expansion in response to LCMV infection. This high efficiency was also seen with memory populations, suggesting that most antigen-specific T cells will proliferate extensively at a limiting dilution in response to infections. These results show that frequencies of naïve and memory CD8⁺ T cell precursors for whole viruses can be remarkably high.The immune response to a viral infection often involves the rapid proliferation of CD8⁺ effector T cells that recognize virus-infected targets expressing 8- to 11-amino-acid-long peptides on class I major histocompatibility complex (MHC) molecules. This recognition is mediated by membrane-bound T-cell receptors (TCRs) that are generated through largely random DNA recombination events of the many TCRα and -β genes, encoding polypeptide chains that heterodimerize to form the recognition structure of T cells. The recombination of the segments also involves addition or deletion of nucleotides during the joining process, causing even greater diversity, and these processes allow for a very broad range of T-cell specificities, with a calculated theoretical diversity of ∼10¹⁵ TCRs in the mouse (7). By use of PCR, CDR3 spectratyping, and sequencing techniques, it was estimated that there are approximately 2 × 10⁶ distinct TCR specificities in a mouse spleen (1, 5). This is far below the theoretical level of T-cell diversity, but considering estimates of T-cell degeneracy that propose that a single TCR can recognize up to 10⁶ peptide-MHC (pMHC) complexes (17, 36), it is likely that the functional diversity is much greater than the number of individual TCRs.It has been of interest to calculate the number of T cells that would either recognize or respond to a pathogen or to a specific pMHC complex. Early estimates of numbers of CD8⁺ T cells that are specific to a single virus, i.e., precursor frequencies, took advantage of an in vitro limiting-dilution assay (LDA) and calculated CD8⁺ T-cell virus-specific precursor frequencies to be on the order of 1 in 100,000 in naïve mice and predicted that these cells needed to undergo about 15 divisions to reach the higher precursor frequencies found at day 8 postinfection (29, 30). The efficiency of such assays, however, is relatively poor. Later studies estimated the number of pMHC-specific CD8⁺ T cells in a naïve mouse by CDR3 sequencing. H-2K^d-restricted T cells specific to HLA residues 170 to 179 (HLA 170-179) were sorted by tetramer from human tumor-immunized mice, and their Vβ CDR3 regions were sequenced. After a plateau suggesting that the majority of the different TCRs had been sequenced was reached, exhaustive sequencing was then used to identify the frequencies of these sequences in naïve mice. These studies found that there were about 600 CD8⁺ T cells specific for that pMHC complex in naïve mice (4). A second strategy used an in vivo competition assay with H-2D^b-restricted lymphocytic choriomeningitis virus (LCMV) GP33-specific P14-transgenic T cells to estimate the number of GP33-specific CD8 T cells in naïve mice and calculated the number to be between 100 to 200 cells per mouse (2).Others estimated numbers of pMHC-specific T cells by sequencing the CDR3β regions of antigen-specific T cells that had expanded during an acute infection. By calculating a measure of CDR3 diversity and then assuming a logarithmic distribution of diversity, they extrapolated the number of T-cell clones that responded to an acute infection. With this technique, 300 to 500 H-2D^b-restricted mouse hepatitis virus (MHV)-encoded S510 clonotypes were calculated to be in the central nervous systems of acutely infected mice, with ∼100 to 900 clonotypes calculated to be in chronically infected mice (24). Later studies used a gamma interferon (IFN-γ) capture assay instead of tetramer sorting and estimated 1,100 to 1,500 H-2D^b-restricted S510-specific clonotypes and 600 to 900 clonotypes of the subdominant H-2K^b-restricted MHV S598 peptide-specific T cells in the spleens of acutely infected mice (25). Those studies also estimated that there were 1,000 to 1,200 different H-2D^b-restricted GP33-specific clonotypes that could respond to an LCMV infection.More-recent studies have taken advantage of magnetic tetramer binding enrichment and double tetramer staining of cells from the spleen and lymph nodes of naïve mice to determine pMHC precursor frequencies, with the assumption that most CD8⁺ T cells in a naïve mouse reside in lymphoid organs and will react with tetramers. This technique was first described by Moon et al. for CD4⁺ T cells, and it detected ∼190 I-A^b 2W1S 52-68-specific T cells, ∼20 I-A^b Salmonella enterica serovar Typhimurium FLiC 427-441-specific T cells, and ∼16 I-A^b chicken ovalbumin (OVA) 323-339-specific T cells per mouse (19). This same technique was then used to determine numbers of pMHC-specific CD8⁺ T cells for epitopes derived from a variety of viruses and found 15 to 1,070 pMHC-specific CD8⁺ T cells per mouse, depending on the specificity of the pMHC tetramer (10, 15, 23). Determinations of CD8⁺ T-cell precursor frequencies in humans are currently not experimentally attainable, but exhaustive sequencing of an HLA-A2.1-restricted influenza A virus (IAV) M1 58-66-specific T-cell response has suggested that there are at least 141 different clonotypes that can grow out in response to an in vitro stimulation with peptide, providing a minimum number of T cells that can respond to this pMHC complex in humans (22).Most of the assays estimate the number of T cells specific to single peptides in individual mice. These assays, therefore, do not determine the numbers of CD8⁺ T cells that can proliferate in response to an entire virus, especially if the virus is known to have many epitopes or if epitopes for the virus have not been described. By examining the average number of pMHC-specific CD8⁺ T cells in a naïve mouse and comparing this to the number of pMHC-specific CD8⁺ T cells that are in a mouse at the peak of the T-cell response, it can be calculated that CD8⁺ T cells divide approximately 12 to 14 times after virus infection (23). Considering that the progeny of one precursor after only 12 divisions can result in just over 4,000 cells, and since recent experiments using H-2K^b-restricted chicken OVA 257-264-specific OT-1-transgenic T cells have confirmed that the progeny from a single cell can be detected in a mouse after infection (31), an in vivo LDA was set up to take advantage of the extensive division and proliferation of virus-specific CD8⁺ T cells in order to determine virus-specific CD8⁺ T-cell precursor frequencies.Here, we show that by transferring limiting amounts of carboxyfluorescein succinimidyl ester (CFSE)-labeled Thy1.1⁺ Ly5.2⁺ heterogeneous CD8⁺ T cells into Thy1.2⁺ Ly5.1⁺ hosts, we are able to calculate CD8⁺ T-cell precursor frequencies for whole viruses. Our calculations are based on finding the number of donor CD8⁺ T cells that results in low-level-CFSE (CFSElo) (i.e., proliferated) donor CD8 T cells in 50% of the hosts. Using probit or Reed and Muench 50% endpoint calculations (3, 26), we are able to calculate CD8⁺ T-cell precursor frequencies. We show here that frequencies of naïve CD8⁺ T-cell precursors for whole viruses are quite high and that our in vivo LDA calculates whole-virus precursor frequencies in line with determinations using other methods with naïve and immune mice.     

Concurrent Generation of Effector and Central Memory CD8 T Cells during Vaccinia Virus Infection

It is generally thought that during the contraction phase of an acute anti-viral T cell reponse, the effector T cells that escape activation-induced cell death eventually differentiate into central memory T cells over the next several weeks. Here we report that antigen-specific CD8T cells with the phenotype and function of central memory cells develop concomitantly with effector T cells during vaccinia virus (vv) infection. As soon as 5 days after an intraperitoneal infection with vv, we could identify a subset of CD44^hi and CD62L⁺ vv-specific CD8 T cells in the peritoneal exudate lymphocytes. This population constituted approximately 10% of all antigen-specific T cells and like central memory T cells, they also expressed high levels of CCR7 and IL-7R but expressed little granzyme B. Importantly, upon adoptive transfer into naïve congenic hosts, CD62L⁺, but not CD62L⁻ CD8 T cells were able to expand and mediate a rapid recall response to a new vv challenge initiated 6 weeks after transfer, confirming that the CD62L⁺ vv-specific CD8 T cells are bonafide memory cells. Our results are thus consistent with the branched differentiation model, where effector and memory cells develop simultaneously. These results are likely to have implications in the context of vaccine design, particularly those based on vaccinia virus recombinants.     

MyD88 Intrinsically Regulates CD4 T-Cell Responses

Myeloid differentiation factor 88 (MyD88) is an essential adaptor protein in the Toll-like receptor-mediated innate signaling pathway, as well as in interleukin-1 receptor (IL-1R) and IL-18R signaling. The importance of MyD88 in the regulation of innate immunity to microbial pathogens has been well demonstrated. However, its role in regulating acquired immunity to viral pathogens and neuropathogenesis is not entirely clear. In the present study, we examine the role of MyD88 in the CD4⁺ T-cell response following lymphocytic choriomeningitis virus (LCMV) infection. We demonstrate that wild-type (WT) mice developed a CD4⁺ T-cell-mediated wasting disease after intracranial infection with LCMV. In contrast, MyD88 knockout (KO) mice did not develop wasting disease in response to the same infection. This effect was not the result of MyD88 regulation of IL-1 or IL-18 responses since IL-1R1 KO and IL-18R KO mice were not protected from weight loss. In the absence of MyD88, naïve CD4⁺ T cells failed to differentiate to LCMV-specific CD4 T cells. We demonstrated that MyD88 KO antigen-presenting cells are capable of activating WT CD4⁺ T cells. Importantly, when MyD88 KO CD4⁺ T cells were reconstituted with an MyD88-expressing lentivirus, the rescued CD4⁺ T cells were able to respond to LCMV infection and support IgG2a antibody production. Overall, these studies reveal a previously unknown role of MyD88-dependent signaling in CD4⁺ T cells in the regulation of the virus-specific CD4⁺ T-cell response and in viral infection-induced immunopathology in the central nervous system.     

A Higher Activation Threshold of Memory CD8+ T Cells Has a Fitness Cost That Is Modified by TCR Affinity during Tuberculosis

T cell vaccines against Mycobacterium tuberculosis (Mtb) and other pathogens are based on the principle that memory T cells rapidly generate effector responses upon challenge, leading to pathogen clearance. Despite eliciting a robust memory CD8⁺ T cell response to the immunodominant Mtb antigen TB10.4 (EsxH), we find the increased frequency of TB10.4-specific CD8⁺ T cells conferred by vaccination to be short-lived after Mtb challenge. To compare memory and naïve CD8⁺ T cell function during their response to Mtb, we track their expansions using TB10.4-specific retrogenic CD8⁺ T cells. We find that the primary (naïve) response outnumbers the secondary (memory) response during Mtb challenge, an effect moderated by increased TCR affinity. To determine whether the expansion of polyclonal memory T cells is restrained following Mtb challenge, we used TCRβ deep sequencing to track TB10.4-specific CD8⁺ T cells after vaccination and subsequent challenge in intact mice. Successful memory T cells, defined by their clonal expansion after Mtb challenge, express similar CDR3β sequences suggesting TCR selection by antigen. Thus, both TCR-dependent and -independent factors affect the fitness of memory CD8⁺ responses. The impaired expansion of the majority of memory T cell clonotypes may explain why some TB vaccines have not provided better protection.     

CD154 and IL-2 Signaling of CD4+ T Cells Play a Critical Role in Multiple Phases of CD8+ CTL Responses Following Adenovirus Vaccination

Adenoviral (AdV) vectors represent most commonly utilized viral vaccines in clinical studies. While the role of CD8⁺ cytotoxic T lymphocyte (CTL) responses in mediating AdV-induced protection is well understood, the involvement of CD4⁺ T cell-provided signals in the development of functional CD8⁺ CTL responses remain unclear. To explore CD4⁺ T helper signals required for AdVova-stimulated CTL responses, we established an adoptive transfer system by transferring CD4⁺ T cells derived from various knock out and transgenic mice into wild-type and/or CD4-deficient animals, followed by immunizing with recombinant ovalbumin (OVA)-expressing AdVova vector. Without CD4⁺ T help, both primary and memory CTL responses were greatly reduced in this model, and were associated with increased PD-1 expression. The provision of OVA-specific CD4⁺ T help in CD4⁺ T cell-deficient mice restored AdVova-induced primary CTL responses, and supported survival and recall responses of AdVova-stimulated memory CTLs. These effects were specifically mediated by CD4⁺ T cell-produced IL-2 and CD154 signals. Adoptive transfer of “helped” or “unhelped” effector and memory CTLs into naïve CD4⁺ T cell-deficient or -sufficient mice also revealed an additional role for polyclonal CD4⁺ T cell environment in the survival of AdVova-stimulated CTLs, partially explaining the extension of CTL contraction phase. Finally, during recall responses, CD4⁺ T cell environment, particularly involving memory CD4⁺ T cells, greatly enhanced expansion of memory CTLs. Collectively, our data strongly suggest a critical role for CD4⁺ T help in multiple phases of AdV-stimulated CTL responses, and could partially explain certain failures in AdV-based immunization trials targeting malignant tumors and chronic diseases that are often associated with compromised CD4⁺ T cell population and function.     

Functional Dichotomy between NKG2D and CD28-Mediated Co-Stimulation in Human CD8+ T Cells

Both CD28 and NKG2D can function as co-stimulatory receptors in human CD8⁺ T cells. However, their independent functional contributions in distinct CD8⁺ T cell subsets are not well understood. In this study, CD8⁺ T cells in human peripheral blood- and lung-derived lymphocytes were analyzed for CD28 and NKG2D expression and function. We found a higher level of CD28 expression in PBMC-derived naïve (CD45RA⁺CD27⁺) and memory (CD45RA⁻CD27⁺) CD8⁺ T cells (CD28^Hi), while its expression was significantly lower in effector (CD45RA⁺CD27⁻) CD8⁺ T cells (CD28^Lo). Irrespective of the differences in the CD28 levels, NKG2D expression was comparable in all three CD8⁺ T cell subsets. CD28 and NKG2D expressions followed similar patterns in human lung-resident GILGFVFTL/HLA-A2-pentamer positive CD8⁺ T cells. Co-stimulation of CD28^Lo effector T cells via NKG2D significantly increased IFN-γ and TNF-α levels. On the contrary, irrespective of its comparable levels, NKG2D-mediated co-stimulation failed to augment IFN-γ and TNF-α production in CD28^Hi naïve/memory T cells. Additionally, CD28-mediated co-stimulation was obligatory for IL-2 generation and thereby its production was limited only to the CD28^Hi naïve/memory subsets. MICA, a ligand for NKG2D was abundantly expressed in the tracheal epithelial cells, validating the use of NKG2D as the major co-stimulatory receptor by tissue-resident CD8⁺ effector T cells. Based on these findings, we conclude that NKG2D may provide an expanded level of co-stimulation to tissue-residing effector CD8⁺ T cells. Thus, incorporation of co-stimulation via NKG2D in addition to CD28 is essential to activate tumor or tissue-infiltrating effector CD8⁺ T cells. However, boosting a recall immune response via memory CD8⁺ T cells or vaccination to stimulate naïve CD8⁺ T cells would require CD28-mediated co-stimulation.     

IL-2 Mediates CD4+ T Cell Help in the Breakdown of Memory-Like CD8+ T Cell Tolerance under Lymphopenic Conditions

Background

Lymphopenia results in the proliferation and differentiation of naïve T cells into memory-like cells in the apparent absence of antigenic stimulation. This response, at least in part due to a greater availability of cytokines, is thought to promote anti-self responses. Although potentially autoreactive memory-like CD8⁺ T cells generated in a lymphopenic environment are subject to the mechanisms of peripheral tolerance, they can induce autoimmunity in the presence of antigen-specific memory-like CD4⁺ T helper cells.

Methodology/Principal Findings

Here, we studied the mechanisms underlying CD4 help under lymphopenic conditions in transgenic mice expressing a model antigen in the beta cells of the pancreas. Surprisingly, we found that the self-reactivity mediated by the cooperation of memory-like CD8⁺ and CD4⁺ T cells was not abrogated by CD40L blockade. In contrast, treatment with anti-IL-2 antibodies inhibited the onset of autoimmunity. IL-2 neutralization prevented the CD4-mediated differentiation of memory-like CD8⁺ T cells into pathogenic effectors in response to self-antigen cross-presentation. Furthermore, in the absence of helper cells, induction of IL-2 signaling by an IL-2 immune complex was sufficient to promote memory-like CD8⁺ T cell self-reactivity.

Conclusions/Significance

IL-2 mediates the cooperation of memory-like CD4⁺ and CD8⁺ T cells in the breakdown of cross-tolerance, resulting in effector cytotoxic T lymphocyte differentiation and the induction of autoimmune disease.     

Role of PKR and Type I IFNs in Viral Control during Primary and Secondary Infection

Type I interferons (IFNs) are known to mediate viral control, and also promote survival and expansion of virus-specific CD8⁺ T cells. However, it is unclear whether signaling cascades involved in eliciting these diverse cellular effects are also distinct. One of the best-characterized anti-viral signaling mechanisms of Type I IFNs is mediated by the IFN-inducible dsRNA activated protein kinase, PKR. Here, we have investigated the role of PKR and Type I IFNs in regulating viral clearance and CD8⁺ T cell response during primary and secondary viral infections. Our studies demonstrate differential requirement for PKR, in viral control versus elicitation of CD8⁺ T cell responses during primary infection of mice with lymphocytic choriomeningitis virus (LCMV). PKR-deficient mice mounted potent CD8⁺ T cell responses, but failed to effectively control LCMV. The compromised LCMV control in the absence of PKR was multifactorial, and linked to less effective CD8⁺ T cell-mediated viral suppression, enhanced viral replication in cells, and lower steady state expression levels of IFN-responsive genes. Moreover, we show that despite normal expansion of memory CD8⁺ T cells and differentiation into effectors during a secondary response, effective clearance of LCMV but not vaccinia virus required PKR activity in infected cells. In the absence of Type I IFN signaling, secondary effector CD8⁺ T cells were ineffective in controlling both LCMV and vaccinia virus replication in vivo. These findings provide insight into cellular pathways of Type I IFN actions, and highlight the under-appreciated importance of innate immune mechanisms of viral control during secondary infections, despite the accelerated responses of memory CD8⁺ T cells. Additionally, the results presented here have furthered our understanding of the immune correlates of anti-viral protective immunity, which have implications in the rational design of vaccines.     

CD40 Activation Rescues Antiviral CD8+ T Cells from PD-1-Mediated Exhaustion

The intrahepatic immune environment is normally biased towards tolerance. Nonetheless, effective antiviral immune responses can be induced against hepatotropic pathogens. To examine the immunological basis of this paradox we studied the ability of hepatocellularly expressed hepatitis B virus (HBV) to activate immunologically naïve HBV-specific CD8⁺ T cell receptor (TCR) transgenic T cells after adoptive transfer to HBV transgenic mice. Intrahepatic priming triggered vigorous in situ T cell proliferation but failed to induce interferon gamma production or cytolytic effector function. In contrast, the same T cells differentiated into cytolytic effector T cells in HBV transgenic mice if Programmed Death 1 (PD-1) expression was genetically ablated, suggesting that intrahepatic antigen presentation per se triggers negative regulatory signals that prevent the functional differentiation of naïve CD8⁺ T cells. Surprisingly, coadministration of an agonistic anti-CD40 antibody (αCD40) inhibited PD-1 induction and restored T cell effector function, thereby inhibiting viral gene expression and causing a necroinflammatory liver disease. Importantly, the depletion of myeloid dendritic cells (mDCs) strongly diminished the αCD40 mediated functional differentiation of HBV-specific CD8⁺ T cells, suggesting that activation of mDCs was responsible for the functional differentiation of HBV-specific CD8⁺ T cells in αCD40 treated animals. These results demonstrate that antigen-specific, PD-1-mediated CD8⁺ T cell exhaustion can be rescued by CD40-mediated mDC-activation.     

Respiratory Dendritic Cell Subsets Differ in Their Capacity to Support the Induction of Virus-Specific Cytotoxic CD8+ T Cell Responses

Dendritic cells located at the body surfaces, e.g. skin, respiratory and gastrointestinal tract, play an essential role in the induction of adaptive immune responses to pathogens and inert antigens present at these surfaces. In the respiratory tract, multiple subsets of dendritic cells (RDC) have been identified in both the normal and inflamed lungs. While the importance of RDC in antigen transport from the inflamed or infected respiratory tract to the lymph nodes draining this site is well recognized, the contribution of individual RDC subsets to this process and the precise role of migrant RDC within the lymph nodes in antigen presentation to T cells is not clear. In this report, we demonstrate that two distinct subsets of migrant RDC - exhibiting the CD103⁺ and CD11b^hi phenotype, respectively - are the primary DC presenting antigen to naïve CD4⁺ and CD8⁺ T lymphocytes in the draining nodes in response to respiratory influenza virus infection. Furthermore, the migrant CD103⁺ RDC subset preferentially drives efficient proliferation and differentiation of naive CD8⁺ T cells responding to infection into effector cells, and only the CD103⁺ RDC subset can present to naïve CD8⁺ T cells non-infectious viral vaccine introduced into the respiratory tract. These results identify CD103⁺ and CD11b^hi RDC as critical regulators of the adaptive immune response to respiratory tract infection and potential targets in the design of mucosal vaccines.     

Allogeneic differences in the dependence on CD4+ T-cell help for virus-specific CD8+ T-cell differentiation

CD4⁺ T-cell help enables antiviral CD8⁺ T cells to differentiate into fully competent memory cells and sustains CD8⁺ T-cell-mediated immunity during persistent virus infection. We recently reported that mice of C57BL/6 and C3H strains differ in their dependence on CD28 and CD40L costimulation for long-term control of infection by polyoma virus, a persistent mouse pathogen. In this study, we asked whether mice of these inbred strains also vary in their requirement for CD4⁺ T-cell help for generating and maintaining polyoma virus-specific CD8⁺ T cells. CD4⁺ T-cell-depleted C57BL/6 mice mounted a robust antiviral CD8⁺ T-cell response during acute infection, whereas unhelped CD8⁺ T-cell effectors in C3H mice were functionally impaired during acute infection and failed to expand upon antigenic challenge during persistent infection. Using (C57BL/6 × C3H)F₁ mice, we found that the dispensability for CD4⁺ T-cell help for the H-2^b-restricted polyoma virus-specific CD8⁺ T-cell response during acute infection extends to the H-2^k-restricted antiviral CD8⁺ T cells. Our findings demonstrate that dependence on CD4⁺ T-cell help for antiviral CD8⁺ T-cell effector differentiation can vary among allogeneic strains of inbred mice.     

Differential Regulation of Effector- and Central-Memory Responses to Toxoplasma gondii Infection by IL-12 Revealed by Tracking of Tgd057-Specific CD8+ T Cells

Production of the pro-inflammatory cytokine IL-12 by innate phagocytes drives the differentiation of IFN-γ-producing effector T cells during Toxoplasma gondii infection. However, the role of IL-12 in the regulation of memory CD8+ T cell differentiation and function during murine toxoplasmosis is unclear. To track memory CTL development, we identified a novel H-2K^b-restricted CTL population specific for the Toxoplasma antigen tgd057. Tgd057-specific CTLs were induced by both vaccination and natural peroral infection, and were representative of the polyclonal CTL population. Tgd057-specific primary effector cells required IL-12 for the differentiation of KLRG1+ effector subpopulations and IFN-γ production in response to restimulation with parasite-infected cells, but not to restimulation with cognate peptide. The effect of IL-12 deficiency during the primary response was profoundly imprinted on memory CTLs, which continued to show defects in cell numbers, KLRG1+ effector memory subpopulation differentiation, and IFN-γ recall responses. Importantly, isolated CD62L^hi KLRG1- CD8+ T cells differentiated in the absence of IL-12 were enhanced in their ability to generate IFN-γ-producing secondary tgd057-specific effector cells. Our data, for the first time, demonstrate the negative impact of IL-12 signaling on the quality of the central memory CTL compartment. Thus, despite the beneficial role of IL-12 in promoting effector differentiation, excessive exposure to IL-12 during CTL priming may limit the development of long-term protective immunity through the decreased fitness of central memory CTL responses.     

CD4+ T Cell-Derived IL-2 Signals during Early Priming Advances Primary CD8+ T Cell Responses

Stimulating naïve CD8⁺ T cells with specific antigens and costimulatory signals is insufficient to induce optimal clonal expansion and effector functions. In this study, we show that the activation and differentiation of CD8⁺ T cells require IL-2 provided by activated CD4⁺ T cells at the initial priming stage within 0–2.5 hours after stimulation. This critical IL-2 signal from CD4⁺ cells is mediated through the IL-2Rβγ of CD8⁺ cells, which is independent of IL-2Rα. The activation of IL-2 signaling advances the restriction point of the cell cycle, and thereby expedites the entry of antigen-stimulated CD8⁺ T-cell into the S phase. Besides promoting cell proliferation, IL-2 stimulation increases the amount of IFNγ and granzyme B produced by CD8⁺ T cells. Furthermore, IL-2 at priming enhances the ability of P14 effector cells generated by antigen activation to eradicate B16.gp33 tumors in vivo. Therefore, our studies demonstrate that a full CD8⁺ T-cell response is elicited by a critical temporal function of IL-2 released from CD4⁺ T cells, providing mechanistic insights into the regulation of CD8⁺ T cell activation and differentiation.     

TRAF3 Regulates Homeostasis of CD8+ Central Memory T Cells

Our laboratory reported previously that TNF receptor associated factor 3 (TRAF3) is a positive regulator of TCR signaling and T cell function. In the current study, we present new findings that reveal differential roles for TRAF3 in the regulation of CD4⁺ and CD8⁺ T cells. In response to TCR stimulation in vitro, TRAF3 has greater impact in CD4⁺ T cells than in CD8⁺ T cells. However, T cell-specific TRAF3 deficient mice (CD4^Cre TRAF3^fl°^x/fl°^x; T-TRAF3^−/−) have a greater number of CD4⁺CD44^hi effector/memory T cells than littermate control (LMC) mice, possibly due to an inefficient suppressive effect of TRAF3 deficient Foxp3⁺ regulatory T cells. In contrast, CD8⁺CD44^hiCD62L^hi central memory (Tcm) cells are markedly reduced in T-TRAF3^−/− mice in comparison to LMC mice, although CD8⁺CD44^hiCD62L^l°^w effector memory T (Tem) cells and naïve T cells (CD8⁺CD44^l°^wCD62L^hi) do not show significant differences in number. Importantly, TRAF3-deficient Tcm cells exhibit defective homeostasis due to impaired IL-15 signaling. These results indicate that the involvement of TRAF3 in IL-15 mediated signaling to T cells plays a previously unappreciated and critical role in CD8⁺ Tcm cell regulation and maintenance.     

Functional Glycosylation of Dystroglycan Is Crucial for Thymocyte Development in the Mouse

Background

Alpha-dystroglycan (α-DG) is a cell surface receptor providing a molecular link between the extracellular matrix (ECM) and the actin-based cytoskeleton. During its biosynthesis, α-DG undergoes specific and unusual O-glycosylation crucial for its function as a high-affinity cellular receptor for ECM proteins.

Methodology/Principal Findings

We report that expression of functionally glycosylated α-DG during thymic development is tightly regulated in developing T cells and largely confined to CD4⁻CD8⁻ double negative (DN) thymocytes. Ablation of DG in T cells had no effect on proliferation, migration or effector function but did reduce the size of the thymus due to a significant loss in absolute numbers of thymocytes. While numbers of DN thymocytes appeared normal, a marked reduction in CD4⁺CD8⁺ double positive (DP) thymocytes occurred. In the periphery mature naïve T cells deficient in DG showed both normal proliferation in response to allogeneic cells and normal migration, effector and memory T cell function when tested in acute infection of mice with either lymphocytic choriomeningitis virus (LCMV) or influenza virus.

Conclusions/Significance

Our study demonstrates that DG function is modulated by glycosylation during T cell development in vivo and that DG is essential for normal development and differentiation of T cells.     

The Initial Draining Lymph Node Primes the Bulk of the CD8 T Cell Response and Influences Memory T Cell Trafficking after a Systemic Viral Infection

Lymphocytic choriomeningitis virus (LCMV) causes a systemic infection in mice with virus replication occurring in both peripheral tissues and secondary lymphoid organs. Because of the rapid systemic dissemination of the virus, the secondary lymphoid organs responsible for the induction of the LCMV-specific CD8 T cell response are poorly defined. We show that the mediastinal lymph node (MedLN) serves as the primary draining lymph node following LCMV infection. In addition, we demonstrate that the MedLN is responsible for priming the majority of the virus-specific CD8 T cell response. Following resolution of the acute infection, the draining MedLN exhibits characteristics of a reactive lymph node including an increased presence of germinal center B cells and increased cellularity for up to 60 days post-infection. Furthermore, the reactive MedLN harbors an increased frequency of CD62L⁻ effector memory CD8 T cells as compared to the non-draining lymph nodes. The accumulation of LCMV-specific CD62L⁻ memory CD8 T cells in the MedLN is independent of residual antigen and is not a unique feature of the MedLN as footpad infection with LCMV leads to a similar increase of virus-specific CD62L⁻ effector memory CD8 T cells in the draining popliteal lymph node. Our results indicate that CD62L⁻ effector memory CD8 T cells are granted preferential access into the draining lymph nodes for an extended time following resolution of an infection.     

Human CD4+ Memory T Cells Can Become CD4+IL-9+ T Cells

Background

IL-9 is a growth factor for T- and mast-cells that is secreted by human Th2 cells. We recently reported that IL-4+TGF-β directs mouse CD4⁺CD25⁻CD62L⁺ T cells to commit to inflammatory IL-9 producing CD4⁺ T cells.

Methodology/Principal Findings

Here we show that human inducible regulatory T cells (iTregs) also express IL-9. IL-4+TGF-β induced higher levels of IL-9 expression in plate bound-anti-CD3 mAb (pbCD3)/soluble-anti-CD28 mAb (sCD28) activated human resting memory CD4⁺CD25⁻CD45RO⁺ T cells as compared to naïve CD4⁺CD25⁻CD45RA⁺ T cells. In addition, as compared to pbCD3/sCD28 plus TGF-β stimulation, IL-4+TGF-β stimulated memory CD4⁺CD25⁻CD45RO⁺ T cells expressed reduced FOXP3 protein. As analyzed by pre-amplification boosted single-cell real-time PCR, human CD4⁺IL-9⁺ T cells expressed GATA3 and RORC, but not IL-10, IL-13, IFNγ or IL-17A/F. Attempts to optimize IL-9 production by pbCD3/sCD28 and IL-4+TGF-β stimulated resting memory CD4⁺ T cells demonstrated that the addition of IL-1β, IL-12, and IL-21 further enhance IL-9 production.

Conclusions/Significance

Taken together these data show both the differences and similarities between mouse and human CD4⁺IL9⁺ T cells and reaffirm the powerful influence of inflammatory cytokines to shape the response of activated CD4⁺ T cells to antigen.     

Dynamic Functional Modulation of CD4+ T Cell Recall Responses Is Dependent on the Inflammatory Environment of the Secondary Stimulus

The parameters that modulate the functional capacity of secondary Th1 effector cells are poorly understood. In this study, we employ a serial adoptive transfer model system to show that the functional differentiation and secondary memory potential of secondary CD4⁺ effector T cells are dependent on the inflammatory environment of the secondary challenge. Adoptive transfer of TCR transgenic lymphocytic choriomeningitis virus (LCMV) Glycoprotein-specific SMARTA memory cells into LCMV-immune hosts, followed by secondary challenge with Listeria monocytogenes recombinantly expressing a portion of the LCMV Glycoprotein (Lm-gp61), resulted in the rapid emergence of SMARTA secondary effector cells with heightened functional avidity (as measured by their ability to make IFNγ in response to ex vivo restimulation with decreasing concentrations of peptide), limited contraction after pathogen clearance and stable maintenance secondary memory T cell populations. In contrast, transfer of SMARTA memory cells into naïve hosts prior to secondary Lm-gp61 challenge, which resulted in a more extended infectious period, resulted in poor functional avidity, increased death during the contraction phase and poor maintenance of secondary memory T cell populations. The modulation of functional avidity during the secondary Th1 response was independent of differences in antigen load or persistence. Instead, the inflammatory environment strongly influenced the function of the secondary Th1 response, as inhibition of IL-12 or IFN-I activity respectively reduced or increased the functional avidity of secondary SMARTA effector cells following rechallenge in a naïve secondary hosts. Our findings demonstrate that secondary effector T cells exhibit inflammation-dependent differences in functional avidity and memory potential, and have direct bearing on the design of strategies aimed at boosting memory T cell responses.