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Biomedical subjects

Anne S De Groot

Publications and source records attributed to Anne S De Groot.

18 recordsLinked to original sources
PubMed2006

Thyrotropin receptor epitopes and their relation to histocompatibility leukocyte antigen-DR molecules in Graves' disease.

CONTEXT: Graves' disease (GD) is characterized by autoimmunity to the TSH receptor (TSHR). OBJECTIVE: We sought to identify T cell epitopes in TSHR that initiate this immune response and their interaction with human histocompatibility leukocyte antigen (HLA) molecules predisposing to GD. DESIGN: We examined the affinity of 31 overlapping peptides spanning the TSHR extracellular domain for binding in vitro to five purified HLA-DR molecules; DRB1*0101 (DR1), DRB1*1501 (DR2), DRB1*0301 (DR3), DRB1*1101 (DR5), and DRB1*0701 (DR7). We scanned the TSHR extracellular domain using a T cell epitope-mapping algorithm, EpiMatrix. We compared these results with clinical studies of GD patients measuring in vitro T cell responses to the peptides. SETTING: The study was conducted at a university laboratory. PATIENTS: Patients included 200 serial adult clinic patients with GD. INTERVENTION: There were no interventions. MAIN OUTCOME MEASUREMENTS: Binding affinity of epitopes, predicted affinity, and reported T cell stimulation data were measured. RESULTS: Most peptides bound with intermediate or high affinity to one or more HLA-DR molecule. Peptides binding to HLA-DR3 and HLA-DR5, which predispose to GD, exhibited moderate binding affinities overall, whereas most peptides binding to GD-protective HLA-DR7 bound with high affinity. These differences may relate to T cell selection in the thymus. Binding affinity of peptides correlated strongly with EpiMatrix-predicted affinity for HLA-DRB1*0101, DRB1*1501, DR3, and DRB1*0701 but not HLA-DR5. Average IC(50) values correlated significantly with clinical T cell stimulation data. CONCLUSIONS: Three different methods for identifying immunogenic peptides did not provide a uniform picture of important TSHR epitopes. However, peptide 132-150 (GIFNTGLKMFPDLTKVYST) was identified by three methods as an important epitope in GD; the possible importance of peptides 145-163, 158-176, 207-222, 248-263, 272-291, and 343-362 was also identified.

Amino Acid Sequence↗
PubMed2006

Immunomics: discovering new targets for vaccines and therapeutics.

T-cell-epitope mapping has emerged as one of the most powerful new drug discovery tools for a range of biomedical applications. Initially, T-cell-epitope discovery was applied to the development of vaccines for infectious diseases and cancer. T-cell-epitope-mapping applications have now expanded to include reengineering of protein therapeutics (a process now called deimmunization), as well as the fields of autoimmunity, endocrinology, allergy, transplantation and diagnostics. Research employing T-cell-epitope mapping falls within the realm of immunomics, a new field that addresses the interface between host and (pathogen) proteome, bridging informatics, genomics, proteomics, immunology and clinical medicine. This review highlights aspects of recent immunomics research that are related to the discovery of the T-cell immunome.

Anti-Infective Agents↗
PubMed2005

Efficacy of novel plasmid DNA encoding vaccinia antigens in improving current smallpox vaccination strategy.

We tested a DNA vaccine strategy in order to improve the efficacy and safety of the current live smallpox vaccine involving priming with DNA vaccines and boosting with live vaccinia virus (VacV). We generated DNA plasmids encoding the A4L, A27L and H5R VacV genes. A considerable increase in antigen-specific IFN-gamma responses, high proliferative and humoral antigen-specific responses were detected in experimental primed Balb/C mice compared to controls after VacV boost. The VacV-DNA plasmids elicited IFN-gamma production in HLA-A2.1 transgenic mice in response to predicted HLA-A2.1 restricted peptide epitopes, providing valuable data for further vaccine development.

Animals↗
PubMed2005

Developing an epitope-driven tuberculosis (TB) vaccine.

Epitope-driven vaccines are created from selected sub-sequences of proteins, or epitopes, derived by scanning the protein sequences of pathogens for patterns of amino acids that permit binding to human MHC molecules. We developed a prototype tuberculosis (TB) vaccine that contains epitopes derived by (1) EpiMer mapping of previously published secreted proteins derived from Mycobacterium tuberculosis (Mtb), and (2) EpiMatrix mapping of selected Mtb genome open reading frames (ORFs). Each of the epitopes contains at least three distinct class II MHC binding motif matches. These Mtb epitope selections were validated by measuring T cell responses from peripheral blood mononuclear cells (PBMC) obtained from healthy, asymptomatic tuberculin skin test-positive donors. Twenty-four validated Mtb epitopes were selected for inclusion in a DNA plasmid vector. We immunized HLA-DR B*0101 transgenic mice with this vaccine prototype augmented by co-administration of rIL-15. Following administration of three immunizations at 14-day intervals in conjunction with rIL-15, epitope-specific T cell responses were observed to eight of the 24 epitopes contained in the DNA construct, one week following the last injection. The systematic application of bioinformatics tools to whole genomes, in combination with in vitro methods for screening and confirming epitopes, may lead to the development of novel vaccines for infectious diseases like TB.

Amino Acid Sequence↗
PubMed2005

HIV vaccine development by computer assisted design: the GAIA vaccine.

The design of epitope-driven vaccines that address the global variability of HIV has been significantly hampered by concerns about conservation of the vaccine epitopes across clades of HIV. We developed two computer-driven methods for improving epitope-driven HIV vaccines: the Epi-Assembler, which derives representative or "immunogenic consensus sequence" (ICS) epitopes from multiple viral variants, and VaccineCAD, which reduces junctional immunogenicity when epitopes are aligned in a string-of-beads format for insertion in a DNA expression vector. In this study, we report on 20 ICS HIV-1 peptides. The core 9-mer contained in these consensus peptides was conserved in 105-2250 individual HIV-1 strains. Nineteen of the 20 ICS epitopes (95%) evaluated in this study were confirmed in ELISpot assays using peripheral blood monocytes obtained from 13 healthy HIV-1 infected subjects. Twenty-five ICS peptides (all 20 of the peptides evaluated in this study and 5 additional ICS epitopes) were then aligned in a pseudoprotein string using "VaccineCAD", an epitope alignment tool that eliminates immunogenicity created by the junctions between the epitopes. Reordering the construct reduced the immunogenicity of the junctions between epitopes as measured by EpiMatrix, an epitope mapping algorithm. The reordered construct was also a more effective immunogen in vivo when tested in HLA-DR transgenic mice. These data confirm the utility of bioinformatics tools to design novel vaccines containing "immunogenic consensus sequence" T cell epitopes for a globally relevant vaccine against HIV.

AIDS Vaccines↗
PubMed2004

Engineering immunogenic consensus T helper epitopes for a cross-clade HIV vaccine.

Developing a vaccine that will stimulate broad HIV-specific T cell responses is difficult because of the variability in HIV T cell epitope sequences, which is in turn due to the high mutation rate and consequent strain diversity of HIV-1. We used a new Class II version of the EpiMatrix T cell epitope-mapping tool and Conservatrix to select highly conserved and promiscuous Class II HLA-restricted T cell epitopes from a database of 18,313 HIV-1 env sequences. Criteria for selection were: (1) number of HIV-1 strains represented as measured by Conservatrix; (2) EpiMatrix score; and (3) promiscuity (number of unique MHC motifs contained in the peptide). Using another vaccine design tool called the EpiAssembler, a new set of overlapping, conserved and immunogenic HIV-1 peptides were engineered creating extended "immunogenic consensus" sequences. Each overlapping 9-mer of the 20-23 amino acid long immunogenic consensus peptides was conserved in a large number (range 893-2254) of individual HIV-1 strains, although the novel peptides were not representative of any single strain of HIV. We synthesized nine representative peptides. T helper cell responses to the peptides were evaluated by ELISpot (gamma-interferon) assay, using peripheral blood monocytes (PBMC) obtained from 34 healthy long term non-progressor (LT) or moderate-progressor (MP) donors (median years infected = 8.88, median CD4 T cells = 595, median VL = 1044). Nine peptides were tested, of which eight were confirmed in ELISpot assays using PBMC from the LT/MP subjects. These epitopes were ranked by Conservation and EpiMatrix score 1, 2, 3, 5, 7, 11, and 14 out of the set of 9 original peptides. Five of these peptides were selected for inclusion in an epitope-driven cross-clade HIV-1 vaccine (the GAIA vaccine). These data confirm the utility of bioinformatics tools to select and construct novel "immunogenic consensus sequence" T cell epitopes for a globally relevant vaccine against HIV.

AIDS Vaccines↗
PubMed2004

HLA-A2-restricted CD8+-cytotoxic-T-cell responses to novel epitopes in Mycobacterium tuberculosis superoxide dismutase, alanine dehydrogenase, and glutamine synthetase.

Major histocompatibility complex class I-restricted CD8(+) cytotoxic T lymphocytes (CTL) are implicated in protective Th1 immunity to Mycobacterium tuberculosis infection. We report the identification of three novel HLA-A*0201-restricted CTL epitopes within mycobacterial superoxide dismutase (SodA), L-alanine dehydrogenase (AlaDH), and L-glutamine synthetase (GlnS) proteins.

Alanine Dehydrogenase↗
PubMed2004

Immunome-derived vaccines.

Immune response to a subset of antigens and epitopes derived from an infectious pathogen may be sufficient for competent protection; immune recognition of every potential epitope derived from the pathogen's genome does not appear to be required. The pneumococcal and hepatitis vaccines, both of which are subunit vaccines, illustrate this premise. Similarly, 'immunome-derived vaccines' are based on the concept that response to the subset of antigens and epitopes that interface with the host immune system (the immunome) and not the whole organism (represented by the proteome or genome) can be sufficient for protection. Competent immune responses to cancer are also probably restricted to the neoplasm's 'immunome', although the set of antigens that drive successful immune response to cancer cells has proven more difficult to uncover. Researchers are now using bioinformatics sequence analysis tools, epitope mapping tools, microarrays and high-throughput immunology assays to discover the components of the immunome, which are then used to compose these new vaccines. At least one immunome-derived vaccine is in clinical trials and many others are in the vaccine pipeline. Due to the rapid improvement of immunoinformatics tools and immunological assays, the era of immunome-derived vaccines has begun.

Animals↗
PubMed2004

Genome-derived vaccines.

Vaccine research entered a new era when the complete genome of a pathogenic bacterium was published in 1995. Since then, more than 97 bacterial pathogens have been sequenced and at least 110 additional projects are now in progress. Genome sequencing has also dramatically accelerated: high-throughput facilities can draft the sequence of an entire microbe (two to four megabases) in 1 to 2 days. Vaccine developers are using microarrays, immunoinformatics, proteomics and high-throughput immunology assays to reduce the truly unmanageable volume of information available in genome databases to a manageable size. Vaccines composed by novel antigens discovered from genome mining are already in clinical trials. Within 5 years we can expect to see a novel class of vaccines composed by genome-predicted, assembled and engineered T- and Bcell epitopes. This article addresses the convergence of three forces--microbial genome sequencing, computational immunology and new vaccine technologies--that are shifting genome mining for vaccines onto the forefront of immunology research.

Animals↗
PubMed2003

Mapping cross-clade HIV-1 vaccine epitopes using a bioinformatics approach.

UNLABELLED: The genomic variability of HIV viruses circulating in different regions of the world has impeded the development of a globally relevant HIV vaccine. Broadly conserved HIV-1 cytotoxic T cell (CTL) epitopes were identified by screening protein sequences in the Los Alamos National Laboratory (LANL) HIV sequence database with a sequence parsing and matching algorithm (Conservatrix). Putative HIV-1 CTL epitopes were selected from this list using the epitope prediction tool EpiMatrix. METHODS: One hundred peptides representing putative HLA A*0201, HLA A*1101, HLA A*0301, and HLA B*07 ligands conserved in many isolates of HIV-1 were synthesized. Seventy-five HLA A*0201, HLA A*1101 and HLA B*07 peptides were incubated with transport associated protein (TAP)-deficient T2 cells transfected with the gene for the corresponding human HLA molecule (HLA A*0201, HLA A*1101, and HLA B*07). Binding and stabilization of peptide-HLA complexes on the surface of the T2 cells was measured by FACS. T cell responses to the entire set of 100 peptides (HLA A*0201, HLA A*1101, HLA A*0301, and HLA B*07) were measured in ELIspot assays using PBMC from healthy HIV-1 infected subjects who possessed a matching HLA allele. RESULTS: Fifty-seven (76%) of the 75 peptides tested in binding studies, including all (three of three) of the control (published) ligands bound to the T2 cells expressing the corresponding MHC molecule. Forty-three of the 100 peptides (43%) including all (four of four) of the control (published) epitopes tested in ELIspot assays stimulated gamma-interferon release. Thirty-one of these 43 epitopes are novel, highly conserved HIV-1 epitopes. EpiMatrix predicted and assays confirmed MHC-restriction by more than one HLA allele for nine of the 43 novel epitopes; of these epitopes five were recognized in the context of MHC "supertypes" and four were promiscuous epitopes. CONCLUSION: Epitopes identified using this approach were conserved in a broad range of HIV-1 sequences derived from isolates obtained in Latin America, Africa, Asia, the Pacific Islands, Europe and the US. The successful identification of cross-clade epitopes by this bioinformatics approach may accelerate the development of a globally relevant HIV-1 vaccine.

AIDS Vaccines↗
PubMed2003

How the SARS vaccine effort can learn from HIV-speeding towards the future, learning from the past.

A remarkable collaborative effort coordinated by the severe acute respiratory syndrome (SARS) team at WHO resulted in discovery of the etiologic agent of severe acute respiratory syndrome less than 2 months after the announcement of global alert. The development of a vaccine to prevent SARS should be pursued with the same urgency and cooperative spirit, as SARS is highly lethal and, if not controlled during the first few generations of transmission, is likely to become endemic in regions of the world where health-care infrastructure is underdeveloped and epidemiological control measures are weak. The scientific community already learned many important lessons from HIV vaccine development; these should be heeded. For example, consideration should be given to the development of a vaccine that will protect across regional strains of SARS, as the newly emergent coronavirus SARS-coronavirus (SARS-CoV) is proving to be variable and may be mutating in response to immune pressure. SARS-specific research reagents should also be collected and shared. These would include SARS peptides, adjuvants, DNA vaccine vectors and clinical grade viral vectors. Rapidly developing a collaborative approach to developing a SARS vaccine that will be both effective and safe is the only way to go. This article reviews parallels between HIV and SARS and proposes an approach that would accelerate the development of a SARS vaccine.

AIDS Vaccines↗
PubMed2003

T cell epitope identification for bovine vaccines: an epitope mapping method for BoLA A-11.

T cell responses play an important role in immunity to parasites and other microbial agents of infectious diseases, therefore a number of T cell-directed vaccines are in development. Computer-driven algorithms that facilitate the discovery of T cell epitopes from protein and genome sequences are now being used to accelerate preclinical studies of human vaccines. Similar tools are not yet available for predicting T cell epitopes for animal vaccines, but there may be sufficient data available to begin the process of compiling the algorithms. We describe the construction of a novel mathematical 'matrix' that describes the properties of bovine major histocompatibility complex (BoLA) system antigen (BoLA) A-11 peptide ligands, developed for use with EpiMatrix, an existing T cell epitope-mapping algorithm. An alternative means of developing BoLA matrices, using the pocket profile method, is also discussed. Matrices such as the one described here may be used to develop T cell epitope-mapping tools for cattle and other ruminants. Epitope-mapping algorithms offer a significant advantage over other methods of epitope selection, such as the screening of synthetic overlapping peptides, because high throughput screening can be performed in silico, followed by ex vivo confirmatory studies. Furthermore, using epitope-mapping algorithms, putative T cell epitopes can be derived directly from genomic sequences, allowing researchers to circumvent labor-intensive cloning steps in the genome-to-vaccine discovery pathway.

Algorithms↗
PubMed2003

Bioinformatics tools for identifying class I-restricted epitopes.

The lack of simple methods to identify relevant T-cell epitopes, the high mutation rate of many pathogens, and restriction of T-cell response to epitopes due to human lymphocyte antigen (HLA) polymorphism have significantly hindered the development of cytotoxic T-lymphocyte (CTL) epitope-based or "epitope-driven" vaccines. Previously, CTL epitopes were mapped using large arrays of overlapping synthetic peptides. The large number of protein sequences available for mapping is now making this method prohibitively expensive and time-consuming. Bioinformatics tools such as EpiMatrix and Conservatrix, which search for unique or multi-HLA-restricted (promiscuous) T-cell epitopes and identify epitopes that are conserved across variant strains of the same pathogen, accelerate epitope mapping. These tools offer a significant advantage over other methods of epitope selection because high-throughput screening can be performed in silico, followed by confirmatory studies in vitro. CTL epitopes discovered using these tools might be used to develop novel vaccines and therapeutics for the prevention and treatment of infectious diseases such as human immunodeficiency virus, hepatitis C, tuberculosis, and some cancers.

Algorithms↗
PubMed2003

From immunome to vaccine: epitope mapping and vaccine design tools.

Since the publication of the complete genome of a pathogenic bacterium in 1995, more than 50 bacterial pathogens have been sequenced and at least 120 additional projects are currently underway. Faced with the expanding volume of information now available from genome databases, vaccinologists are turning to epitope mapping tools to screen vaccine candidates. Bioinformatics tools such as EpiMatrix and Conservatrix, which search for unique or multi-HLA-restricted (promiscuous) T cell epitopes and can find epitopes that are conserved across variant strains of the same pathogen, have accelerated the process of epitope mapping. Additional tools for screening epitopes for similarity to 'self' (BlastiMer) and for assembling putative epitopes into strings if they overlap (EpiAssembler) have been developed at EpiVax. Tools that map proteasome cleavage sires are available on the Internet. When used together, these bioinformatics tools offer a significant advantage over traditional methods of vaccine design since high throughput screening and design is performed in silico, followed by confirmatory studies in vitro. These new tools are being used to develop novel vaccines and therapeutics for the prevention and treatment of infectious diseases such as HIV, hepatitis C, tuberculosis, and some cancers. More recent applications of the tools involve deriving novel vaccine candidates directly from whole genomes, an approach that has been named 'genome to vaccine'.

Allergy and Immunology↗
PubMed2002

Immuno-informatics: Mining genomes for vaccine components.

The complete genome sequences of more than 60 microbes have been completed in the past decade. Concurrently, a series of new informatics tools, designed to harness this new wealth of information, have been developed. Some of these new tools allow researchers to select regions of microbial genomes that trigger immune responses. These regions, termed epitopes, are ideal components of vaccines. When the new tools are used to search for epitopes, this search is usually coupled with in vitro screening methods; an approach that has been termed computational immunology or immuno-informatics. Researchers are now implementing these combined methods to scan genomic sequences for vaccine components. They are thereby expanding the number of different proteins that can be screened for vaccine development, while narrowing this search to those regions of the proteins that are extremely likely to induce an immune response. As the tools improve, it may soon be feasible to skip over many of the in vitro screening steps, moving directly from genome sequence to vaccine design. The present article reviews the work of several groups engaged in the development of immuno-informatics tools and illustrates the application of these tools to the process of vaccine discovery.

Algorithms↗