Structure and binding kinetics of three different human CD1d-alpha-galactosylceramide-specific T cell receptors

Invariant human TCR Valpha24-Jalpha18+/Vbeta11+ NKT cells (iNKT) are restricted by CD1d-alpha-glycosylceramides. We analyzed crystal structures and binding characteristics for an iNKT TCR plus two CD1d-alpha-GalCer-specific Vbeta11+ TCRs that use different TCR Valpha chains. The results were similar to those previously reported for MHC-peptide-specific TCRs, illustrating the versatility of the TCR platform. Docking TCR and CD1d-alpha-GalCer structures provided plausible insights into their interaction. The model supports a diagonal orientation of TCR on CD1d and suggests that complementarity determining region (CDR)3alpha, CDR3beta, and CDR1beta interact with ligands presented by CD1d, whereas CDR2beta binds to the CD1d alpha1 helix. This docking provides an explanation for the dominant usage of Vbeta11 and Vbeta8.2 chains by human and mouse iNKT cells, respectively, for recognition of CD1d-alpha-GalCer.

Therapeutic activation of V alpha 24(+)V beta 11(+) NKT cells in human subjects results in highly coordinated secondary activation of acquired and innate immunity

Human Valpha24(+)Vbeta11(+) natural killer T (NKT) cells are a distinct CD1d-restricted lymphoid subset specifically and potently activated by alpha-galactosylceramide (alpha-GalCer) (KRN7000) presented by CD1 d on antigen-presenting cells. Preclinical models show that activation of Valpha24(+)Vbeta11(+) NKT cells induces effective antitumor immune responses and potentially important secondary immune effects, including activation of conventional T cells and NK cells. We describe the first clinical trial of cancer immune therapy with alpha-GalCer-pulsed CD1d-expressing dendritic cells. The results show that this therapy has substantial, rapid, and highly reproducible specific effects on Valpha24(+)Vbeta11(+) NKT cells and provide the first human in vivo evidence that Valpha24(+)Vbeta11(+) NKT cell stimulation leads to activation of both innate and acquired immunity, resulting in modulation of NK, T-, and B-cell numbers and increased serum interferon-gamma. We present the first clinical evidence that Valpha24(+)Vbeta11(+) NKT cell memory produces faster, more vigorous secondary immune responses by innate and acquired immunity upon restimulation.

Granulocyte colony-stimulating factor modulates alpha-galactosylceramide-responsive human V alpha 24(+) V beta 11(+) NKT cells

Despite more than a 10-fold increase in T cell numbers in G-CSF-mobilized peripheral blood stem cell (PBSC) grafts, incidence and severity of acute graft-vs-host disease (GVHD) are comparable to bone marrow transplantation. As CD1d-restricted, Valpha24(+)Vbeta11(+) NKT cells have pivotal immune regulatory functions and may influence GVHD, we aimed to determine whether G-CSF has any effects on human NKT cells. In this study, we examined the frequency and absolute numbers of peripheral blood NKT cells in healthy stem cell donors (n = 8) before and following G-CSF (filgrastim) treatment. Effects of in vivo and in vitro G-CSF on NKT cell cytokine expression profiles and on responsiveness of NKT cell subpopulations to specific stimulation by alpha-galactosylceramide (alpha-GalCer) were assessed. Contrary to the effects on conventional T cells, the absolute number of peripheral blood NKT cells was unaffected by G-CSF administration. Furthermore, responsiveness of NKT cells to alpha-GalCer stimulation was significantly decreased (p < 0.05) following exposure to G-CSF in vivo. This hyporesponsiveness was predominantly due to a direct effect on NKT cells, with a lesser contribution from G-CSF-mediated changes in APC. G-CSF administration resulted in polarization of NKT cells toward a Th2, IL-4-secreting phenotype following alpha-GalCer stimulation and preferential expansion of the CD4(+) NKT cell subset. We conclude that G-CSF has previously unrecognized differential effects in vivo on NKT cells and conventional MHC-restricted T cells, and effects on NKT cells may contribute to the lower than expected incidence of GVHD following allogeneic peripheral blood stem cell transplantation.

Modulation of human V alpha 24(+)V beta 11(+) NKT cells by age, malignancy and conventional anticancer therapies

Immunotherapy strategies aimed at increasing human Valpha24(+)Vbeta11(+) natural killer T (NKT) cell numbers are currently a major focus. To provide further information towards the goal of NKT cell-based immunotherapy, we assessed the effects of age, cancer status and prior anticancer treatment on NKT cell numbers and their expansion capacity following alpha-galactosylceramide (alpha-GalCer) stimulation. The percentage and absolute number of peripheral blood NKT cells was assessed in 40 healthy donors and 109 solid cancer patients ( colorectal ( n = 33), breast ( n = 10), melanoma ( n = 17), lung ( n = 8), renal cell carcinoma ( n = 10), other cancers ( n = 31)). Responsiveness to alpha-GalCer stimulation was also assessed in 28 of the cancer patients and 37 of the healthy donors. Natural killer T cell numbers were significantly reduced in melanoma and breast cancer patients. While NKT numbers decreased with age in healthy donors, NKT cells were decreased in these cancer subgroups despite age and sex adjustments. Prior radiation treatment was shown to contribute to the observed reduction in melanoma patients. Although cancer patient NKT cells were significantly less responsive to alpha-GalCer stimulation, they remained capable of substantial expansion. Natural killer T cells are therefore modulated by age, malignancy and prior anticancer treatment; however, cancer patient NKT cells remain capable of responding to alpha-GalCer-based immenotherapies.

The CD1d natural killer T-cell antigen presentation pathway is highly conserved between humans and rhesus macaques

Natural killer T (NKT) cells play an important role in controlling cancers, infectious diseases and autoimmune diseases. Although the rhesus macaque is a useful primate model for many human diseases such as infectious and autoimmune diseases, little is known about their NKT cells. We analyzed Valpha24TCR+ T cells from rhesus macaque peripheral blood mononuclear cells stimulated with aalpha-galactosylceramide (a-GalCer) and interleukin-2. We found that rhesus macaques possess Va24TCR+ T cells, suggesting that recognition of alpha-GalCer is highly conserved between rhesus macaques and humans. The amino acid sequences of the V-J junction for the Valpha24TCR of rhesus macaque and human NKT cells are highly conserved (93% similarity), and the CD1d alpha1-alpha2 domains of both species are highly homologous (95.6%). These findings indicate that the rhesus macaque is a useful primate model for understanding the contribution of NKT cells to the control of human diseases.

CHARACTERIZATION OF ALPHA-GALACTOSYLCERAMIDE AS A MUCOSAL ADJUVANT

Adjuvants are essential components of vaccine formulations that enhance adaptive immune responses to antigens, particularly for immunizations targeting the tolerogenic mucosal tissues, which are more biologically relevant for protective immunity against pathogens transmitted by the mucosal routes. Adjuvants possess the inherent capacity to bridge innate and adaptive immune responses through activating innate immune mediators. Here evidence is presented in support of the effectiveness of a synthetic glycolipid, alpha-Galactosylceramide (-GalCer), as an adjuvant for mucosal immunization with peptide and protein antigens, by oral and intranasal routes, to prime antigen-specific immune responses in multiple systemic and mucosal compartments. The adjuvant activity of -GalCer delivered by the intranasal route was manifested in terms of potent activation of NKT cells, an important innate immunity mediator, along with the activation of dendritic cells (DC) which serve as the professional antigen-presenting cells. Data from this investigation provide the first evidence for mucosal delivery as an effective means to harness the adjuvant potential of α-GalCer for priming as well as boosting cellular immune responses to co-administered immunogens. Unlike systemic administration where a single dose of α-GalCer leads to anergy of responding NKT cells and thus hinders delivery of booster immunizations, we demonstrated that administration of multiple doses of α-GalCer by the intranasal route affords repeated activation of NKT cells and the induction of broad systemic and mucosal immunity. This is specifically advantageous, and may be even essential, for vaccination regimens against mucosal pathogens such as the human immunodeficiency virus (HIV) and the human papillomavirus (HPV), where priming of durable protective immunity at the mucosal portals of pathogen entry would be highly desirable.

The Influence of Immunization Route on the Adjuvant Effect of alpha-Galactosylceramide

Potent vaccine formulations ideally include adjuvants to activate innate immune responses and enhance antigen-specific adaptive immunity. The synthetic glycolipid alpha-Galactosylceramide (α-GalCer) effectively activates the innate immune mediating NKT cells to produce cytokines and activate downstream immune cells, resulting in development of humoral and cell mediated immune responses to co-administered antigens. While a single intravenous immunization of α-GalCer strongly activates NKT cells, multiple doses by this route are well documented to induce anergy in NKT cells. Anergy is defined as the deficiency in NKT proliferation and cytokine production, including IL-4 and IFNγ. However, our studies have shown that two doses of α-GalCer administered intranasally by the intranasal route leads to reactivation of NKT cells and improved adaptive immune responses after each subsequent dose. I therefore investigated the role of multiple routes of immunization in activation of NKT cells, i.e. anergy versus repeated activation. Specifically, I hypothesized that the differential capacity of NKT cells to produce IFNγ, as a result of route of immunization with α-GalCer, influences the induction of adaptive immune responses to co-administered antigen. Our experimental design utilizes the observation that intranasal immunization primarily induces immune responses in the lungs while intravenous immunization induces responses in the liver. Using intracellular cytokine staining for IFNγ production and Elispot analyses for determining NKT and T cell activation, respectively, it was determined that administering two consecutive intravenous doses resulted in anergy to NKT cells (no IFNγ production) in the liver and lack of adaptive immunity while second immunization by the intranasal route overcame anergy in the lung. The outcome in the other tissues analyzed was mixed and could be the result of tissue microenvironment among others possible reasons. When intranasal dosing preceded systemic, NKT cells were reactivated to produce IFNγ and induced positive adaptive immune responses in the responding lung tissue. These results indicate that the mechanism by which mucosal and systemic immunization routes activate NKT cells may differ in that there is a differential tissue-specific effect induced by each route. Future studies are necessary to determine the reason for these tissue-specific effects and how they relate to NKT cell activation.

Performance analysis of adaptive lattice filters for FM signals and alpha-stable processes

The performance of an adaptive filter may be studied through the behaviour of the optimal and adaptive coefficients in a given environment. This thesis investigates the performance of finite impulse response adaptive lattice filters for two classes of input signals: (a) frequency modulated signals with polynomial phases of order p in complex Gaussian white noise (as nonstationary signals), and (b) the impulsive autoregressive processes with alpha-stable distributions (as non-Gaussian signals). Initially, an overview is given for linear prediction and adaptive filtering. The convergence and tracking properties of the stochastic gradient algorithms are discussed for stationary and nonstationary input signals. It is explained that the stochastic gradient lattice algorithm has many advantages over the least-mean square algorithm. Some of these advantages are having a modular structure, easy-guaranteed stability, less sensitivity to the eigenvalue spread of the input autocorrelation matrix, and easy quantization of filter coefficients (normally called reflection coefficients). We then characterize the performance of the stochastic gradient lattice algorithm for the frequency modulated signals through the optimal and adaptive lattice reflection coefficients. This is a difficult task due to the nonlinear dependence of the adaptive reflection coefficients on the preceding stages and the input signal. To ease the derivations, we assume that reflection coefficients of each stage are independent of the inputs to that stage. Then the optimal lattice filter is derived for the frequency modulated signals. This is performed by computing the optimal values of residual errors, reflection coefficients, and recovery errors. Next, we show the tracking behaviour of adaptive reflection coefficients for frequency modulated signals. This is carried out by computing the tracking model of these coefficients for the stochastic gradient lattice algorithm in average. The second-order convergence of the adaptive coefficients is investigated by modeling the theoretical asymptotic variance of the gradient noise at each stage. The accuracy of the analytical results is verified by computer simulations. Using the previous analytical results, we show a new property, the polynomial order reducing property of adaptive lattice filters. This property may be used to reduce the order of the polynomial phase of input frequency modulated signals. Considering two examples, we show how this property may be used in processing frequency modulated signals. In the first example, a detection procedure in carried out on a frequency modulated signal with a second-order polynomial phase in complex Gaussian white noise. We showed that using this technique a better probability of detection is obtained for the reduced-order phase signals compared to that of the traditional energy detector. Also, it is empirically shown that the distribution of the gradient noise in the first adaptive reflection coefficients approximates the Gaussian law. In the second example, the instantaneous frequency of the same observed signal is estimated. We show that by using this technique a lower mean square error is achieved for the estimated frequencies at high signal-to-noise ratios in comparison to that of the adaptive line enhancer. The performance of adaptive lattice filters is then investigated for the second type of input signals, i.e., impulsive autoregressive processes with alpha-stable distributions . The concept of alpha-stable distributions is first introduced. We discuss that the stochastic gradient algorithm which performs desirable results for finite variance input signals (like frequency modulated signals in noise) does not perform a fast convergence for infinite variance stable processes (due to using the minimum mean-square error criterion). To deal with such problems, the concept of minimum dispersion criterion, fractional lower order moments, and recently-developed algorithms for stable processes are introduced. We then study the possibility of using the lattice structure for impulsive stable processes. Accordingly, two new algorithms including the least-mean P-norm lattice algorithm and its normalized version are proposed for lattice filters based on the fractional lower order moments. Simulation results show that using the proposed algorithms, faster convergence speeds are achieved for parameters estimation of autoregressive stable processes with low to moderate degrees of impulsiveness in comparison to many other algorithms. Also, we discuss the effect of impulsiveness of stable processes on generating some misalignment between the estimated parameters and the true values. Due to the infinite variance of stable processes, the performance of the proposed algorithms is only investigated using extensive computer simulations.