Author/Authors :
Koren، نويسنده , , E. and De Groot، نويسنده , , A.S. and Jawa، نويسنده , , V. and Beck، نويسنده , , K.D. and Boone، نويسنده , , T. and Rivera، نويسنده , , D. and Li، نويسنده , , L. and Mytych، نويسنده , , D. and Koscec، نويسنده , , M. and Weeraratne، نويسنده , , D. W. Swanson، نويسنده , , S. and Martin، نويسنده , , W.، نويسنده ,
Abstract :
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.
Keywords :
immunoinformatics , HLA , Immunogenicity prediction , antibody response , T-cell epitope