Liposomal cationic charge and antigen adsorption are important properties for the efficient deposition of antigen at the injection site and ability of the vaccine to induce a CMI response

With respect to liposomes as delivery vehicles and adjuvants for vaccine antigens, the role of vesicle surface charge remains disputed. In the present study we investigate the influence of liposome surface charge and antigen-liposome interaction on the antigen depot effect at the site of injection (SOI). The presence of liposome and antigen in tissue at the SOI as well as the draining lymphatic tissue was quantified to analyse the lymphatic draining of the vaccine components. Furthermore investigations detailing cytokine production and T-cell antigen specificity were undertaken to investigate the relationship between depot effect and the ability of the vaccine to induce an immune response. Our results suggest that cationic charge is an important factor for the retention of the liposomal component at the SOI, and a moderate to high (>50%) level of antigen adsorption to the cationic vesicle surface was required for efficient antigen retention in the same tissue. Furthermore, neutral liposomes expressing poor levels of antigen retention were limited in their ability to mediate long term (14 days) antigen presentation to circulating antigen specific T-cells and to induce the Th1 and Th17 arms of the immune system, as compared to antigen adsorbing cationic liposomes. The neutral liposomes did however induce the production of IL-5 at levels comparable to those induced by cationic liposomes, indicating that neutral liposomes can induce a weak Th2 response.

Alzheimer's disease: the relationship between the density of senile plaques, neurofibrillary tangles and A4 protein in human patients

The numerical density of senile plaques (SP) and neurofibrillary tangles (NFT) as revealed by the Glees silver method was compared with SP and NFT revealed by the Gallyas method and with amyloid (A4) deposits in immunostained sections in 6 elderly cases of Alzheimer's disease. The density of NFT was generally greater and A4 lower in tissue from hippocampus compared with the neocortex suggesting that A4 deposition was less important than the degree of paired helical filament (PHF) related damage in the hippocampus. The density of Glees SP was positively correlated Gallyas SP weakly correlated with A4 deposit number. A stepwise multiple regression analysis which included A4 deposit and Gallyas SP density and accounted for 54% of the variation in Glees SP density. Hence, different populations of SP were revealed by the different staining methods. The results suggested that the Glees method may stain a population of SP in a region of cortex where both amyloid deposition and neurofibrillary changes have occurred.

The density of mature beta/A4 deposits is enhanced in Alzheimer's disease cases with pronounced congophilic angiopathy

The density of diffuse, primitive, classic and compact beta/A4 deposits was estimated in the cortex and hippocampus in Alzheimer's disease (AD) cases with pronounced congophilic angiopathy (CA). The total density of beta/A4 deposits in a brain region was similar in cases with and without CA. Significantly fewer diffuse deposits and more primitive/classic deposits were found in the cases with CA. The density of the primitive, classic and compact deposits were positively correlated in the cases without CA. However, no correlations were observed between the density of the mature subtypes and the diffuse deposits in these cases. In cases with CA, the density of the primitive deposits was positively correlated with the diffuse deposits but not with the classic deposits. The data suggest that the mature beta/A4 deposits are derived from the diffuse deposits and that the presence of pronounced CA enhances their formation.

Radiolabelling of antigen and liposomes for vaccine biodistribution studies

A relatively simple and effective method to follow the movement of pharmaceutical preparations such as vaccines in biodistribution studies is to radiolabel the components. Whilst single radiolabelling is common practice, in vaccine systems containing adjuvants the ability to follow both the adjuvant and the antigen is favourable. To this end, we have devised a dual-radiolabelling method whereby the adjuvant (liposomes) is labelled with 3H and the antigen (a subunit protein) with 125I. This model is stable and reproducible; we have shown release of the radiolabels to be negligible over periods of up to 1 week in foetal calf serum at 37° C. In this paper we describe the techniques which enable the radiolabelling of various components, assessing stability and processing of samples which all for their application in biodistribution studies. Furthermore we provide examples derived from our studies using this model in tuberculosis vaccine biodistribution studies. © 2010 by the authors.

Tunnelling density of states at Coulomb-blockade peaks

We calculate the tunnelling density of states (TDoS) for a quantum dot in the Coulomb-blockade regime, using a functional integral representation with allowing correctly for the charge quantisation. We show that in addition to the well-known gap in the TDoS in the Coulomb-blockade valleys, there is a suppression of the TDoS at the peaks. We show that such a suppression is necessary in order to get the correct result for the peak of the differential conductance through an almost close quantum dot.

A Bayesian approach to modeling the conditional density of the inverse controller

The inverse controller is traditionally assumed to be a deterministic function. This paper presents a pedagogical methodology for estimating the stochastic model of the inverse controller. The proposed method is based on Bayes' theorem. Using Bayes' rule to obtain the stochastic model of the inverse controller allows the use of knowledge of uncertainty from both the inverse and the forward model in estimating the optimal control signal. The paper presents the methodology for general nonlinear systems. For illustration purposes, the proposed methodology is applied to linear Gaussian systems. © 2004 IEEE.