Recombinant protein subunit vaccine synthesis in microbes:a role for yeast?

Objectives Recombinant protein subunit vaccines are formulated using protein antigens that have been synthesized in heterologous host cells. Several host cells are available for this purpose, ranging from Escherichia coli to mammalian cell lines. This article highlights the benefits of using yeast as the recombinant host. Key findings The yeast species, Saccharomyces cerevisiae and Pichia pastoris, have been used to optimize the functional yields of potential antigens for the development of subunit vaccines against a wide range of diseases caused by bacteria and viruses. Saccharomyces cerevisiae has also been used in the manufacture of 11 approved vaccines against hepatitis B virus and one against human papillomavirus; in both cases, the recombinant protein forms highly immunogenic virus-like particles. Summary Advances in our understanding of how a yeast cell responds to the metabolic load of producing recombinant proteins will allow us to identify host strains that have improved yield properties and enable the synthesis of more challenging antigens that cannot be produced in other systems. Yeasts therefore have the potential to become important host organisms for the production of recombinant antigens that can be used in the manufacture of subunit vaccines or in new vaccine development.

Formulation and the characterisation of cationic liposomal adjuvants for the delivery of a promising subunit tuberculosis vaccine

Cationic liposomes of dimethyldioctadecylammonium bromide (DDA) incorporating the glycolipid trehalose 6,6-dibehenate (TDB) forms a promising liposomal vaccine adjuvant. To be exploited as effective subunit vaccine delivery systems, the physicochemical characteristics of liposomes were studied in detail and correlated with their effectiveness in vivo, in an attempt to elucidate key aspects controlling their efficacy. This research took the previously optimised DDA-TDB system as a foundation for a range of formulations incorporating additional lipids of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) or 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC), by incrementally replacing the cationic content within DDA-TDB or reducing the total DDA-TDB dose upon its substitution, to ascertain the role of DDA and the effect of DDA-TDB concentration in influencing the resultant immunological performance upon delivery of the novel subunit TB vaccine, Ag85B–ESAT-6-Rv2660c (H56 vaccine). With the aim of using the DPPC based systems for pulmonary vaccine delivery and the DSPC systems for application via the intramuscular route, initial work focused on physicochemical characterisation of the systems with incorporation of DPPC or DSPC displaying comparable physical stability, morphological structure and levels of antigen retention to that of DDA-TDB. Thermodynamic analysis was also conducted to detect main phase transition temperatures and subsequent in vitro cell culture studies demonstrated a favourable reduction in cytotoxicity, stimulation of phagocytic activity and macrophage activation in response to the proposed liposomal immunoadjuvants. Immunisation of mice with H56 vaccine via the proposed liposomal adjuvants showed that DDA was an important factor in mediating resultant immune responses, with partial replacement or substitution of DDA-TDB stimulating Th1 type cellular immunity characterised by elevated levels of IgG2b antibodies and IFN-? and IL-2 cytokines, essential for providing protective efficacy against TB. Upon increased DSPC content within the formulation, either by DDA replacement or reduction of DDA and TDB, responses were skewed towards Th2 type immunity with reduced IgG2b antibody levels and elevated IL-5 and IL-10 cytokine production, as resultant immunological responses were independent of liposomal zeta potential. The role of the cationic DDA lipid and the effect of DDA-TDB concentration were appreciated as the proposed liposomal formulations elicited antigen specific antibody and cellular immune responses, demonstrating the potential of cationic liposomes to be utilised as adjuvants for subunit vaccine delivery. Furthermore, the promising capability of the novel H56 vaccine candidate in eliciting protection against TB was apparent in a mouse model.

Design and development of cationic liposomes as DNA vaccine adjuvants

Cationic liposomes have been extensively explored for their efficacy in delivering nucleic acids, by offering the ability to protect plasmid DNA against degradation, promote gene expression and, in the case of DNA vaccines, induce both humoural and cellular immune responses. DNA vaccines may also offer advantages in terms of safety, but they are less effective and need an adjuvant to enhance their immunogenicity. Therefore, cationic liposomes can be utilised as delivery systems and/or adjuvants for DNA vaccines to stimulate stronger immune responses. To explore the role of liposomal systems within plasmid DNA delivery, parameters such as the effect of lipid composition, method of liposome preparation and presence of electrolytes in the formulation were investigated in characterisation studies, in vitro transfection studies and in vivo biodistribution and immunisation studies. Liposomes composed of 1,2-dioleoyl-sn-glycero 3-phosphoethanolamine (DOPE) in combination with 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP) or 1,2-stearoyl-3- trimethylammonium-propane (DSTAP) were prepared by the lipid hydration method and hydrated in aqueous media with or without presence of electrolytes. Whilst the in vitro transfection efficiency of all liposomes resulted to be higher than Lipofectin, DSTAP-based liposomes showed significantly higher transfection efficiency than DOTAP-based formulations. Furthermore, upon intramuscular injection of liposomal DNA vaccines, DSTAP-based liposomes showed a significantly stronger depot effect at the injection site. This could explain the result of heterologous immunisation studies, which revealed DSTAP-based liposomal vaccines induce stronger immune responses compared to DOTAP-based formulations. Previous studies have shown that having more liposomally associated antigen at the injection site would lead to more drainage of them into the local lymph nodes. Consequently, this would lead to more antigens being presented to antigen presenting cells, which are circulating in lymph nodes, and this would initiate a stronger immune response. Finally, in a comparative study, liposomes composed of dimethyldioctadecylammonium bromide (DDA) in combination with DOPE or immunostimulatory molecule of trehalose 6,6-dibehenate (TDB) were prepared and investigated in vitro and in vivo. Results showed that although DDA:TDB is not able to transfect the cells efficiently in vitro, this formulation induces stronger immunity compared to DDA:DOPE due to the immunostimulatory effects of TDB. This study demonstrated, while the presence of electrolytes did not improve immune responses, small unilamellar vesicle (SUV) liposomes induced stronger humoural immune responses compared to dehydration rehydration vesicle (DRV) liposomes. Moreover, lipid composition was shown to play a key role in in vitro and in vivo behaviour of the formulations, as saturated cationic lipids provided stronger immune responses compared to unsaturated lipids. Finally, heterologous prime/boost immunisation promoted significantly stronger immune responses compared to homologous vaccination of DNA vaccines, however, a single immunisation of subunit vaccine provoked comparable levels of immune response to the heterologous regimen, suggesting more immune efficiency for subunit vaccines compared to DNA vaccines.

Identifying candidate subunit vaccines using an alignment-independent method based on principal amino acid properties

Subunit vaccine discovery is an accepted clinical priority. The empirical approach is time- and labor-consuming and can often end in failure. Rational information-driven approaches can overcome these limitations in a fast and efficient manner. However, informatics solutions require reliable algorithms for antigen identification. All known algorithms use sequence similarity to identify antigens. However, antigenicity may be encoded subtly in a sequence and may not be directly identifiable by sequence alignment. We propose a new alignment-independent method for antigen recognition based on the principal chemical properties of protein amino acid sequences. The method is tested by cross-validation on a training set of bacterial antigens and external validation on a test set of known antigens. The prediction accuracy is 83% for the cross-validation and 80% for the external test set. Our approach is accurate and robust, and provides a potent tool for the in silico discovery of medically relevant subunit vaccines.

Improving T cell-induced response to subunit vaccines:opportunities for a proteomic systems approach

Prophylactic vaccines are an effective strategy to prevent development of many infectious diseases. With new and re-emerging infections posing increasing risks to food stocks and the health of the population in general, there is a need to improve the rationale of vaccine development. One key challenge lies in development of an effective T cell-induced response to subunit vaccines at specific sites and in different populations. Objectives: In this review, we consider how a proteomic systems-based approach can be used to identify putative novel vaccine targets, may be adopted to characterise subunit vaccines and adjuvants fully. Key findings: Despite the extensive potential for proteomics to aid our understanding of subunit vaccine nature, little work has been reported on identifying MHC 1-binding peptides for subunit vaccines generating T cell responses in the literature to date. Summary: In combination with predictive and structural biology approaches to mapping antigen presentation, proteomics offers a powerful and as yet un-tapped addition to the armoury of vaccine discovery to predict T-cell subset responses and improve vaccine design strategies.

Influence of microbial antigen formulation and delivery route on the immune response

Recent technological advances have resulted in the production of safe subunit and synthetic small peptide vaccines. Unfortunately, these vaccines are weakly or non-immunogenic in the absence of an immunological adjuvant (agents that can induce strong immunity to antigens). In addition, in order to prevent and/or control infection at the mucosal surface, stimulation of the mucosal immune system is essential. This may be achieved via the common mucosal immune system by exposure to antigen at a mucosal surface remote from the area of infection. Initial studies investigated the potential of multiple emulsions in effecting oral absorption and the subsequent immune responses to a lipopolysaccharide vaccine (LPS) after immunisation. Nasal delivery of LPS was carried out in parallel work using either aqueous solution or gel formulations. Tetanus toxoid vaccine in simple solution was delivered to guinea pigs as free antigen or entrapped in DSPC liposomes. In addition, adsorbed tetanus toxoid vaccine was delivered nasally free or in an aerosil gel formulation. This work was extended to investigate guinea pigs immunised by various mucosal routes with a herpes simplex virus subunit vaccine prepared from virus infected cells and delivered in gels, multiple emulsions and liposomes. Comparable serum antibody responses resulted but failed to produce enhanced protection against vaginal challenge when compared to subcutaneous immunisation with alhydrogel adjuvanted vaccine. Thus, immunisation of the mucosal surface by these methods may have been inadequate. These studies were extended in an attempt to protect against HSV genital challenge by construction of an attenuated Salmonella typhimurium HWSH aroA mutant expressing a cloned glycoprotein D-l gene fused to the Es-cherichia coli lac z promoter. Preliminary work on the colonisation of guinea pigs with S. typhimurium HWSH aroA mutants were carried out, with the aim of using the guinea pig HSV vaginal model to investigate protection.

Toward bacterial protein sub-cellular location prediction:single-class discrimminant models for all gram- and gram+ compartments

Based on Bayesian Networks, methods were created that address protein sequence-based bacterial subcellular location prediction. Distinct predictive algorithms for the eight bacterial subcellular locations were created. Several variant methods were explored. These variations included differences in the number of residues considered within the query sequence - which ranged from the N-terminal 10 residues to the whole sequence - and residue representation - which took the form of amino acid composition, percentage amino acid composition, or normalised amino acid composition. The accuracies of the best performing networks were then compared to PSORTB. All individual location methods outperform PSORTB except for the Gram+ cytoplasmic protein predictor, for which accuracies were essentially equal, and for outer membrane protein prediction, where PSORTB outperforms the binary predictor. The method described here is an important new approach to method development for subcellular location prediction. It is also a new, potentially valuable tool for candidate subunit vaccine selection.

Immunoinformatics and the in silico prediction of immunogenicity:an introduction

Immunoinformatics is the application of informatics techniques to molecules of the immune system. One of its principal goals is the effective prediction of immunogenicity, be that at the level of epitope, subunit vaccine, or attenuated pathogen. Immunogenicity is the ability of a pathogen or component thereof to induce a specific immune response when first exposed to surveillance by the immune system, whereas antigenicity is the capacity for recognition by the extant machinery of the adaptive immune response in a recall response. In thisbook, we introduce these subjects and explore the current state of play in immunoinformatics and the in silico prediction of immunogenicity.

Combining algorithms to predict bacterial protein sub-cellular location:parallel versus concurrent implementations

We describe a novel and potentially important tool for candidate subunit vaccine selection through in silico reverse-vaccinology. A set of Bayesian networks able to make individual predictions for specific subcellular locations is implemented in three pipelines with different architectures: a parallel implementation with a confidence level-based decision engine and two serial implementations with a hierarchical decision structure, one initially rooted by prediction between membrane types and another rooted by soluble versus membrane prediction. The parallel pipeline outperformed the serial pipeline, but took twice as long to execute. The soluble-rooted serial pipeline outperformed the membrane-rooted predictor. Assessment using genomic test sets was more equivocal, as many more predictions are made by the parallel pipeline, yet the serial pipeline identifies 22 more of the 74 proteins of known location.

Multi-class subcellular location prediction for bacterial proteins

Two algorithms, based onBayesian Networks (BNs), for bacterial subcellular location prediction, are explored in this paper: one predicts all locations for Gram+ bacteria and the other all locations for Gram- bacteria. Methods were evaluated using different numbers of residues (from the N-terminal 10 residues to the whole sequence) and residue representation (amino acid-composition, percentage amino acid-composition or normalised amino acid-composition). The accuracy of the best resulting BN was compared to PSORTB. The accuracy of this multi-location BN was roughly comparable to PSORTB; the difference in predictions is low, often less than 2%. The BN method thus represents both an important new avenue of methodological development for subcellular location prediction and a potentially value new tool of true utilitarian value for candidate subunit vaccine selection.

Rapid quantification and validation of lipid concentrations within liposomes

Quantification of the lipid content in liposomal adjuvants for subunit vaccine formulation is of extreme importance, since this concentration impacts both efficacy and stability. In this paper, we outline a high performance liquid chromatography-evaporative light scattering detector (HPLC-ELSD) method that allows for the rapid and simultaneous quantification of lipid concentrations within liposomal systems prepared by three liposomal manufacturing techniques (lipid film hydration, high shear mixing, and microfluidics). The ELSD system was used to quantify four lipids: 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC), cholesterol, dimethyldioctadecylammonium (DDA) bromide, and D-(+)-trehalose 6,6′-dibehenate (TDB). The developed method offers rapidity, high sensitivity, direct linearity, and a good consistency on the responses (R2 > 0.993 for the four lipids tested). The corresponding limit of detection (LOD) and limit of quantification (LOQ) were 0.11 and 0.36 mg/mL (DMPC), 0.02 and 0.80 mg/mL (cholesterol), 0.06 and 0.20 mg/mL (DDA), and 0.05 and 0.16 mg/mL (TDB), respectively. HPLC-ELSD was shown to be a rapid and effective method for the quantification of lipids within liposome formulations without the need for lipid extraction processes.

PLGA microspheres for the delivery of a novel subunit TB vaccine

Biodegradable poly(dl-lactide-co-glycolide) microspheres were prepared using a modified double emulsion solvent evaporation method for the delivery of the subunit tuberculosis vaccine (Ag85B-ESAT-6), a fusion protein of the immunodominant antigens 6-kDa early secretory antigenic target (ESAT-6) and antigen 85B (Ag85B). Addition of the cationic lipid dimethyl dioctadecylammonium bromide (DDA) and the immunostimulatory trehalose 6,6'-dibehenate (TDB), either separately or in combination, was investigated for the effect on particle size and distribution, antigen entrapment efficiency, in vitro release profiles and in vivo performance. Optimised formulation parameters yielded microspheres within the desired sub-10 mu m range (1.50 +/- 0.13 mu m), whilst exhibiting a high antigen entrapment efficiency (95 +/- 1.2%) and prolonged release profiles. Although the microsphere formulations induced a cell-mediated immune response and raised specific antibodies after immunisation, this was inferior to the levels achieved with liposomes composed of the same adjuvants (DDA-TDB), demonstrating that liposomes are more effective vaccine delivery systems compared with microspheres.

Computer aided selection of candidate vaccine antigens

Immunoinformatics is an emergent branch of informatics science that long ago pullulated from the tree of knowledge that is bioinformatics. It is a discipline which applies informatic techniques to problems of the immune system. To a great extent, immunoinformatics is typified by epitope prediction methods. It has found disappointingly limited use in the design and discovery of new vaccines, which is an area where proper computational support is generally lacking. Most extant vaccines are not based around isolated epitopes but rather correspond to chemically-treated or attenuated whole pathogens or correspond to individual proteins extract from whole pathogens or correspond to complex carbohydrate. In this chapter we attempt to review what progress there has been in an as-yet-underexplored area of immunoinformatics: the computational discovery of whole protein antigens. The effective development of antigen prediction methods would significantly reduce the laboratory resource required to identify pathogenic proteins as candidate subunit vaccines. We begin our review by placing antigen prediction firmly into context, exploring the role of reverse vaccinology in the design and discovery of vaccines. We also highlight several competing yet ultimately complementary methodological approaches: sub-cellular location prediction, identifying antigens using sequence similarity, and the use of sophisticated statistical approaches for predicting the probability of antigen characteristics. We end by exploring how a systems immunomics approach to the prediction of immunogenicity would prove helpful in the prediction of antigens.

Small cationic DDA:TDB liposomes as protein vaccine adjuvants obviate the need for TLR agonists in inducing cellular and humoral responses

Most subunit vaccines require adjuvants in order to induce protective immune responses to the targeted pathogen. However, many of the potent immunogenic adjuvants display unacceptable local or systemic reactogenicity. Liposomes are spherical vesicles consisting of single (unilamellar) or multiple (multilamellar) phospholipid bi-layers. The lipid membranes are interleaved with an aqueous buffer, which can be utilised to deliver hydrophilic vaccine components, such as protein antigens or ligands for immune receptors. Liposomes, in particular cationic DDA:TDB vesicles, have been shown in animal models to induce strong humoral responses to the associated antigen without increased reactogenicity, and are currently being tested in Phase I human clinical trials. We explored several modifications of DDA:TDB liposomes--including size, antigen association and addition of TLR agonists--to assess their immunogenic capacity as vaccine adjuvants, using Ovalbumin (OVA) protein as a model protein vaccine. Following triple homologous immunisation, small unilamellar vesicles (SUVs) with no TLR agonists showed a significantly higher capacity for inducing spleen CD8 IFN? responses against OVA in comparison with the larger multilamellar vesicles (MLVs). Antigen-specific antibody reponses were also higher with SUVs. Addition of the TLR3 and TLR9 agonists significantly increased the adjuvanting capacity of MLVs and OVA-encapsulating dehydration-rehydration vesicles (DRVs), but not of SUVs. Our findings lend further support to the use of liposomes as protein vaccine adjuvants. Importantly, the ability of DDA:TDB SUVs to induce potent CD8 T cell responses without the need for adding immunostimulators would avoid the potential safety risks associated with the clinical use of TLR agonists in vaccines adjuvanted with liposomes.

Cationic liposomes as adjuvants for subunit protein vaccines:their role in the depot effect and antigen processing by APCs

Introduction: The requirement of adjuvants in subunit protein vaccination is well known yet their mechanisms of action remain elusive. Of the numerous mechanisms suggested, cationic liposomes appear to fulfil at least three: the antigen depot effect, the delivery of antigen to antigen presenting cells (APCs) and finally the danger signal. We have investigated the role of antigen depot effect with the use of dual radiolabelling whereby adjuvant and antigen presence in tissues can be quantified. In our studies a range of cationic liposomes and different antigens were studied to determine the importance of physical properties such as liposome surface charge, antigen association and inherent lipid immunogenicity. More recently we have investigated the role of liposome size with the cationic liposome formulation DDA:TDB, composed of the cationic lipid dimethyldioctadecylammonium (DDA) and the synthetic mycobacterial glycolipid trehalose 6,6’-dibehenate (TDB). Vesicle size is a frequently investigated parameter which is known to result in different routes of endocytosis. It has been postulated that targeting different routes leads to different intracellular signaling pathway activation and it is certainly true that numerous studies have shown vesicle size to have an effect on the resulting immune responses (e.g. Th1 vs. Th2). Aim: To determine the effect of cationic liposome size on the biodistribution of adjuvant and antigen, the ensuing humoral and cell-mediated immune responses and the uptake and activation of antigen by APCs including macrophages and dendritic cells. Methods: DDA:TDB liposomes were made to three different sizes (~ 0.2, 0.5 and 2 µm) followed by the addition of tuberculosis antigen Ag85B-ESAT-6 therefore resulting in surface adsorption. Liposome formulations were injected into Balb/c or C57Bl/6 mice via the intramuscular route. The biodistribution of the liposome formulations was followed using dual radiolabelling. Tissues including muscle from the site of injection and local draining lymph nodes were removed and liposome and antigen presence quantified. Mice were also immunized with the different vaccine formulations and cytokine production (from Ag85B-ESAT-6 restimulated splenocytes) and antibody presence in blood assayed. Furthermore, splenocyte proliferation after restimulating with Ag85B-ESAT-6 was measured. Finally, APCs were compared for their ability to endocytose vaccine formulations and the effect this had on the maturation status of the cell populations was compared. Flow cytometry and fluorescence labelling was used to investigate maturation marker up-regulation and efficacy of phagocytosis. Results: Our results show that for an efficient Ag85B-ESAT-6 antigen depot at the injection site, liposomes composed of DDA and TDB are required. There is no significant change in the presence of liposome or antigen at 6hrs or 24hrs p.i, nor does liposome size have an effect. Approximately 0.05% of the injected liposome dose is detected in the local draining lymph node 24hrs p.i however protein presence is low (<0.005% dose). Preliminary in vitro data shows liposome and antigen endocytosis by macrophages; further studies on this will be presented in addition to the results of the immunisation study.