Novel multiparameter correlates of Coxiella burnetii infection and vaccination identified by longitudinal deep immune profiling.

Q-fever is a flu-like illness caused by Coxiella burnetii (Cb), a highly infectious intracellular bacterium. There is an unmet need for a safe and effective vaccine for Q-fever. Correlates of immune protection to Cb infection are limited. We proposed that analysis by longitudinal high dimensional immune (HDI) profiling using mass cytometry combined with other measures of vaccination and protection could be used to identify novel correlates of effective vaccination and control of Cb infection. Using a vaccine-challenge model in HLA-DR transgenic mice, we demonstrated significant alterations in circulating T-cell and innate immune populations that distinguished vaccinated from naïve mice within 10 days, and persisted until at least 35 days post-vaccination. Following challenge, vaccinated mice exhibited reduced bacterial burden and splenomegaly, along with distinct effector T-cell and monocyte profiles. Correlation of HDI data to serological and pathological measurements was performed. Our data indicate a Th1-biased response to Cb, consistent with previous reports, and identify Ly6C, CD73, and T-bet expression in T-cell, NK-cell, and monocytic populations as distinguishing features between vaccinated and naïve mice. This study refines the understanding of the integrated immune response to Cb vaccine and challenge, which can inform the assessment of candidate vaccines for Cb.

HLA- and genotype-based risk assessment model to identify infantile onset pompe disease patients at high-risk of developing significant anti-drug antibodies (ADA).

In Pompe disease, anti-drug antibodies (ADA) to acid alpha-glucosidase (GAA) enzyme replacement therapy contribute to early mortality. Assessing individual risk for ADA development is notoriously difficult in (CRIM-positive) patients expressing endogenous GAA. The individualized T cell epitope measure (iTEM) scoring method predicts patient-specific risk of developing ADA against therapeutic recombinant human GAA (rhGAA) using individualized HLA-binding predictions and GAA genotype. CRIM-negative patients were six times more likely to develop high ADA titers than CRIM-positive patients in this retrospective study, whereas patients with high GAA-iTEM scores were 50 times more likely to develop high ADA titers than patients with low GAA-iTEM scores. This approach identifies high-risk IOPD patients requiring immune tolerance induction therapy to prevent significant ADA response to rhGAA leading to a poor clinical outcome and can assess ADA risk in patients receiving replacement therapy for other enzyme or blood factor deficiency disorders.

Can we prevent immunogenicity of human protein drugs?

Monoclonal antibodies have proved to be extremely valuable additions to conventional treatment for rheumatic diseases. However, despite the general trend towards "humanisation", these drugs remain immunogenic in clinical settings, baffling drug developers. In principle, humanised and fully human monoclonal antibodies are "self" immunoglobulins and should be tolerated. In this overview, the factors that may influence this process, the nature of immunogenicity and methods to analyse and modify potential immunogenicity are discussed. Finally, novel approaches to "re-induce" immunological tolerance to these proteins, including gene therapy and the recognition of unique regulatory epitopes, are outlined.

Clinical validation of the "in silico" prediction of immunogenicity of a human recombinant therapeutic protein.

Antibodies elicited by protein therapeutics can cause serious side effects in humans. We studied immunogenicity of a recombinant fusion protein (FPX) consisting of two identical, biologically active, peptides attached to human Fc fragment. EpiMatrix, an in silico epitope-mapping tool, predicted promiscuous T-cell epitope(s) within the 14-amino-acid carboxy-terminal region of the peptide portion of FPX. On administration of FPX in 76 healthy human subjects, 37% developed antibodies after a single injection. A memory T-cell response against the above carboxy-terminus of the peptide was observed in antibody-positive but not in antibody-negative subjects. Promiscuity of the predicted T-cell epitope(s) was confirmed by representation of all common HLA alleles in antibody-positive subjects. As predicted by EpiMatrix, HLA haplotype DRB1*0701/1501 was associated with the highest T-cell and antibody response. In conclusion, in silico prediction can be successfully used to identify Class II restricted T-cell epitopes within therapeutic proteins and predict immunogenicity thereof in humans.

Confirmation of immunogenic consensus sequence HIV-1 T-cell epitopes in Bamako, Mali and Providence, Rhode Island.

The design of epitope-driven vaccines for HIV has been significantly hampered by concerns about conservation of vaccine epitopes across clades of HIV. In previous work, we have described a computer-driven method for a cross-clade HIV vaccine comprised of overlapping, highly conserved helper T-cell epitopes or "immunogenic consensus sequence epitopes" (ICS epitopes). Here, we evaluated and compared the immunogenicity of 20 ICS HIV epitopes in ELISpot assays performed using peripheral blood monocytes (PBMC) from HIV-infected donors in Providence, Rhode Island, USA and in Bamako, Mali, West Africa. Each core 9-mer HIV sequence contained in a given consensus peptide was conserved in at least 105 to as many as 2,250 individual HIV-1 strains. Nineteen of the 20 ICS epitopes (95%) were confirmed in ELISpot assays using PBMC obtained from 13 healthy, HIV-1 infected subjects in Providence, and thirteen of the epitopes (65%) were confirmed in ELISpot assays using PBMC derived from 42 discarded blood units obtained at the Central Blood Bank in Bamako. Twelve of the epitopes were confirmed in ELISpot assays performed both in Providence and Bamako. These data confirm the utility of bioinformatics tools to select and design novel vaccines containing "immunogenic consensus sequence" T-cell epitopes for a globally relevant vaccine against HIV; a similar approach may also be useful for any pathogen that exhibits high variability (influenza, HCV, or variola for example). An HIV vaccine containing these immunogenic consensus sequences is currently under development.

De-immunization of therapeutic proteins by T-cell epitope modification.

Many therapeutic proteins in clinical use have been shown to elicit antibody responses which in some cases have been linked to adverse events. Conventional animal models, although convenient, have rarely been predictive of immunogenicity in humans. New methods for predicting the potential immunogenicity of therapeutic proteins are needed. This treatise proposes a new approach which pairs in silico T-cell epitope analysis with in vitro studies. T-cell epitope mapping algorithms such as EpiMatrix can be used to evaluate a candidate therapeutic protein for T-helper epitopes, followed by confirmation of the T-helper epitopes using in vitro methods such as MHC binding assays and T-cell assays. Once these are identified, substitution of key amino acids in the T-cell epitopes may attenuate the immunogenicity of the protein, since modification of the amino acids in anchor position(s) can abrogate binding to human class II MHC molecules and presentation of the peptides, in the context of MHC, to T-helper cells. Following substitution of the key amino acids, immunogenicity of the modified protein can be evaluated in vitro. In parallel, the potential effect of the modifications on the structure of the protein can be evaluated using in silico modeling methods. This multi-step process has been termed DeFT for de-immunization of functional therapeutics. In this article we review the rationale for the approach, provide several retrospective examples that prove the approach in principle, and describe potential applications to therapeutic protein design. The demand for pre-clinical means of evaluating therapeutic proteins is expected to increase with the number of therapeutic proteins and monoclonal antibodies entering the pre-clinical pipeline. Examples provided offer some preliminary proof that the de-immunization approach may improve clinical outcomes.

Analyzing Mycobacterium tuberculosis proteomes for candidate vaccine epitopes.

Secreted antigens of Mycobacterium tuberculosis (Mtb) induce strong T cell responses and interferon-gamma (IFN-gamma) secretion, both of which are integral in the defense against Mtb. We used web-based tools (SignaIP and Prosite) to identify putative secreted proteins from Mtb genomes CDC 1551 and H37Rv. We then used EpiMatrix, a proprietary pattern-matching algorithm, to do a preliminary analysis of these proteins for regions that contained a high number of class II MHC binding motif matches. The use of bioinformatics tools reduced the number of potential epitopes to be screened to 5% of the 1.3 million overlapping peptides. Peripheral blood mononuclear cells (PBMC) were obtained from healthy, asymptomatic tuberculin skin test-positive donors. Of the 17 highest-ranking peptide candidates that could be synthesized for this preliminary in vitro evaluation, 15 (88%) stimulated IFN-gamma response, and eight (47%) stimulated lymphocyte proliferation in vitro. IFN-gamma ELISpot assays were therefore a more sensitive test for T cell response to these peptides than were proliferation assays. One highly promiscuous epitope (MT2281-26-J, WRRRPLSSALLSFGLLLGGLPL) induced IFN-gamma secretion in PBMC from 11 of 25 Mtb immune subjects (44%). Overall, 15 epitopes, and MT2281-26-J in particular, are candidates for inclusion in a multi-epitope TB vaccine. These findings support the systematic application of bioinformatics tools to whole genomes when used in combination with in vitro methods for screening and confirming epitopes.

Modelling the immunogenicity of therapeutic proteins using T cell epitope mapping.

A new approach to designing therapeutic proteins is emerging, due to an improved understanding of T cell modulation of the immune response and new methods for modelling T cell epitopes using bioinformatics. In silico T cell epitope-mapping using the bioinformatics, when combined with other ex silico means of evaluating MHC-peptide and T cell interaction such as tetramers and HLA transgenic mice, enables the evaluation of dysfunctional immune responses to therapeutic proteins. This approach may even permit researchers to develop means of modulating anticipated adverse effects. The pocket profile method for developing T cell epitope prediction tools is reviewed here, and a comparison between the pocket profile method and the extended anchor method for epitopes restricted by the class II allele HLA DR B*0101 is described.