A Method for Individualizing the Prediction of Immunogenicity of Protein Vaccines and Biologic Therapeutics : Individualized T Cell Epitope Measure (iTEM)

The promise of pharmacogenomics depends on advancing predictive medicine. To address this need in the area of immunology, we developed the individualized T cell epitope measure (iTEM) tool to estimate an individual's T cell response to a protein antigen based on HLA binding predictions. In this...

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Bibliographic Details
Published inBioMed research international Vol. 2010; no. 2010; pp. 1 - 7
Main Authors Cohen, Tobias, Moise, Leonard, Ardito, Matthew, Martin, William, De Groot, Anne S.
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Puplishing Corporation 01.01.2010
Hindawi Publishing Corporation
John Wiley & Sons, Inc
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Online AccessGet full text
ISSN1110-7243
2314-6133
1110-7251
1110-7251
2314-6141
DOI10.1155/2010/961752

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Summary:The promise of pharmacogenomics depends on advancing predictive medicine. To address this need in the area of immunology, we developed the individualized T cell epitope measure (iTEM) tool to estimate an individual's T cell response to a protein antigen based on HLA binding predictions. In this study, we validated prospective iTEM predictions using data from in vitro and in vivo studies. We used a mathematical formula that converts DRB1∗ allele binding predictions generated by EpiMatrix, an epitope-mapping tool, into an allele-specific scoring system. We then demonstrated that iTEM can be used to define an HLA binding threshold above which immune response is likely and below which immune response is likely to be absent. iTEM's predictive power was strongest when the immune response is focused, such as in subunit vaccination and administration of protein therapeutics. iTEM may be a useful tool for clinical trial design and preclinical evaluation of vaccines and protein therapeutics.
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Academic Editor: Yongqun Oliver He
ISSN:1110-7243
2314-6133
1110-7251
1110-7251
2314-6141
DOI:10.1155/2010/961752