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一种重组人治疗性蛋白质免疫原性的“计算机模拟”预测的临床验证

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

作者信息

Koren E, De Groot A S, Jawa V, Beck K D, Boone T, Rivera D, Li L, Mytych D, Koscec M, Weeraratne D, Swanson S, Martin W

机构信息

Scios Inc., 6500 Paseo Padre Pkway, Fremont, CA 94555, USA.

出版信息

Clin Immunol. 2007 Jul;124(1):26-32. doi: 10.1016/j.clim.2007.03.544. Epub 2007 May 9.

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.

摘要

蛋白质治疗药物引发的抗体可在人类体内导致严重的副作用。我们研究了一种重组融合蛋白(FPX)的免疫原性,该蛋白由连接到人类Fc片段的两个相同的生物活性肽组成。EpiMatrix是一种计算机模拟表位作图工具,它预测在FPX肽部分的14个氨基酸羧基末端区域内存在混杂的T细胞表位。在76名健康人类受试者中给予FPX后,37%的受试者在单次注射后产生了抗体。在抗体阳性而非抗体阴性的受试者中观察到了针对肽上述羧基末端的记忆T细胞反应。抗体阳性受试者中所有常见HLA等位基因的表现证实了预测的T细胞表位的混杂性。正如EpiMatrix所预测的,HLA单倍型DRB1*0701/1501与最高的T细胞和抗体反应相关。总之,计算机模拟预测可成功用于识别治疗性蛋白质内的II类限制性T细胞表位,并预测其在人类中的免疫原性。

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