White blood cells called T lymphocytes play critical roles in immune defense against viruses, bacteria, fungi, protozoa, and cancer cells. In the unactivated state, these cells circulate in the blood and accumulate in lymphoid tissues such as lymph nodes and spleen. Upon encounter with foreign materials (antigens) on specialized antigen presenting cells (dendritic cells), these resting T-cells become activated, undergo numerous cell divisions, and differentiate into effector cells. The effector cells leave the lymphoid tissues and blood, entering sites of infection to combat pathogens. They can also cause autoimmune pathology. After elimination of an infecting organism, most activated T-cells die, but some remain as memory cells, to provide a more rapid and vigorous response upon re-infection. Some memory T-cells recirculate in lymphoid compartments and others patrol peripheral tissues. The former provide the major source of new cells upon re-infection, whereas the latter mediate the earliest effector response to infection. Other lymphocytes such as regulatory T cells contribute to suppression of these T-cell responses. This project attempts to gain both a qualitative (especially tissue-specific 4 dimensional space and time) and a quantitative understanding of the activation, differentiation, migration, cell-cell interaction, memory status, and reactivation properties of both CD4 and CD8 T-cells. Issues such as the route, amount, and frequency of antigen exposure, as well as the presence or absence of adjuvants, are being studied for their effects on the generation and tissue distribution of effector and memory CD4 and CD8 T-cells. The movement of activated T-cells into non-lymphoid tissues is being analyzed using new imaging techniques that allow high-resolution dynamic observation of how cells migrate, interact, and carry out their effector functions. Through this research, a better understanding of lymphocyte dynamics during an immune response to infection or after vaccination or during an autoimmune response will be established. These new insights can contribute to the more effective design of vaccines and to strategies for the amelioration of autoimmune processes. We have established a robust system for vaccination using the non-replicating pox vector MVA, to permit in situ analysis of immune cell behavior in response to a clinically used vaccine vector. Variants of the virus have been developed that encode both fluorescent proteins and model antigens recognized by TCR transgenic T-cells expressing fluorescent proteins. This allows tracking of the sites of viral infection and of the location and dynamic behavior of antigen-specific T-cells during immune responses in situ, using our advanced 2-photon intravital imaging methods. Our studies indicate unexpected locations the cells initially infected by MVA within draining lymph nodes, distinct dendritic cells involvement in initial antigen presentation to CD4 vs. CD8 T-cells, a role for cross-presentation as well as direct presentation in the activation of CD8 T-cells, and different locations of naive vs. memory CD8 T-cells in the lymph node. In the case of the distinct sites of CD4 and CD8 T-cell antigen engagement, we are now trying to understand how the initial antigen activation of these two cell types on different spatially-dispersed antigen-presenting cells can be reconciled with data that indicate a requirement for antigen co-presentation to the CD8 and CD4 T-cells on the same dendritic cells for induction of robust immune memory. In terms of nave vs. memory CD8 T-cells, we have determined that these two subsets occupy very different sites within lymph nodes. Nave cells migrate primarily within the paracortical region rich in dendritic cells, whereas memory cells localize mostly to peripheral regions such as the medullary sinus and interfollicular areas. These locations are close to the entry portals of pathogens and we observe rapid movement of these already peripheral T-cells to the sinus-lining macrophage layer under guidance of CXCR3 and its cognate chemokines during infection. These data on cell localization are congruent with our recent findings of innate lymphocyte spatial pre-positioning for communication with the subcapsular sinus macrophages and our evidence for subregion-specific residence of dendritic cell subsets within the node all findings that emphasize the role of tissue micro-anatomy in effective host defense. We have also utilized the MVA model to examine the effect of regulatory T-cells (Tregs) on anti-viral CD8 T-cell responses and observed a differential effect of Tregs on the balance of highly polarized effectors versus multifunctional/ memory T-cells emerging after priming. We have dissected the mechanism of suppression, revealing a key role for limitation in the late (post-activation) availability of the cytokine IL-2. In other experiments building on a combination of our highly multiplexed immunofluorescence imaging and our 2-photon intravital methods, we have accumulated data on the delivery of antigen from subcutaneous sites to the draining lymph node and the role of distinct subpopulations of macrophages and dendritic cells in acquiring the antigen in different regions of the lymph node, especially in the context of distinct adjuvants. With respect to effector function, a combination of intravital imaging and flow cytometry studies in a model of delayed-type hypersensitivity has revealed that effector CD4 T-cells in an inflamed site undergo a single round of activation to cytokine secretion status in concert with an arrest of migration, followed by a loss of cytokine production as the cells resume rapid movement in the tissue. This regain in motility occurs without the loss of antigen presentation. These data imply tuning of the antigen sensitivity of effector CD4 T-cells upon initial activation in the tissue that limits damaging cytokine production if the antigen load is not increasing, and also suggests that eventual elimination of a pathogen will depend on a constant influx of new antigen-sensitive effectors from secondary lymphoid tissue. Preliminary data suggest this desensitization arises from a negative feedback loop involving PD-1, whose expression increases shortly after antigen stimulation of effector T-cells in the tissue. Engagement of PD-1 by PD-L1 on antigen-presenting cells depresses signaling through the TCR and hence, desensitizes the T-cells with respect to the available antigen level. Finally, our data suggest that the in vitro paradigm of autocrine cytokine-induced polarization of CD4+ T-cells is an oversimplification of the in vivo reality. Under suitable conditions, Th1 and Th2 effector T-cells can be generated in the absence of the canonical cytokine (IFNgamma and IL-4, respectively), or the relevant STAT protein. A key determinant of T-cell fate is the strength of signaling through the T cell antigen receptor, and in vivo studies using 2 photon imaging show the fate choice (Th1 vs. Th2) is dominated by the duration of T-cell: dendritic cell interaction and the integrated strength of signal rather than by qualitative factors such as polarizing cytokines. Our current model is that the duration and strength of signaling establishes both the capacity of the T-cell to receive polarizing signals at a later time and by the loss of association with the presenting cell and its elaborated signals such as inflammatory cytokines. The role of adjuvants in these models appears to be primarily that of determining the state of the presenting cell and hence, the strength of signal, rather than the provision of polarizing cytokine per se, a very different model from the one that dominates current thinking and one with important implications for determining the dose, timing, and vehicles best suited to vaccine delivery.

Project Start
Project End
Budget Start
Budget End
Support Year
15
Fiscal Year
2012
Total Cost
$516,839
Indirect Cost
City
State
Country
Zip Code
Watanabe, Masashi; Fujihara, Chiharu; Radtke, Andrea J et al. (2017) Co-stimulatory function in primary germinal center responses: CD40 and B7 are required on distinct antigen-presenting cells. J Exp Med 214:2795-2810
Brewitz, Anna; Eickhoff, Sarah; Dähling, Sabrina et al. (2017) CD8+ T Cells Orchestrate pDC-XCR1+ Dendritic Cell Spatial and Functional Cooperativity to Optimize Priming. Immunity 46:205-219
Veres, Tibor Z; Kopcsányi, Tamás; van Panhuys, Nicholas et al. (2017) Allergen-Induced CD4+ T Cell Cytokine Production within Airway Mucosal Dendritic Cell-T Cell Clusters Drives the Local Recruitment of Myeloid Effector Cells. J Immunol 198:895-907
Veres, Tibor Z; Kopcsányi, Tamás; Tirri, Marko et al. (2017) Intubation-free in vivo imaging of the tracheal mucosa using two-photon microscopy. Sci Rep 7:694
Liu, Zhiduo; Gerner, Michael Y; Van Panhuys, Nicholas et al. (2015) Immune homeostasis enforced by co-localized effector and regulatory T cells. Nature 528:225-30
Eickhoff, Sarah; Brewitz, Anna; Gerner, Michael Y et al. (2015) Robust Anti-viral Immunity Requires Multiple Distinct T Cell-Dendritic Cell Interactions. Cell 162:1322-37
Chong, Wai Po; van Panhuys, Nicholas; Chen, Jun et al. (2015) NK-DC crosstalk controls the autopathogenic Th17 response through an innate IFN-?-IL-27 axis. J Exp Med 212:1739-1752
Kolodin, Dmitriy; van Panhuys, Nicolas; Li, Chaoran et al. (2015) Antigen- and cytokine-driven accumulation of regulatory T cells in visceral adipose tissue of lean mice. Cell Metab 21:543-57
Honda, Tetsuya; Egen, Jackson G; Lämmermann, Tim et al. (2014) Tuning of antigen sensitivity by T cell receptor-dependent negative feedback controls T cell effector function in inflamed tissues. Immunity 40:235-247
van Panhuys, Nicholas; Klauschen, Frederick; Germain, Ronald N (2014) T-cell-receptor-dependent signal intensity dominantly controls CD4(+) T cell polarization In Vivo. Immunity 41:63-74

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