Zinsli Léa V, Stierlin Noël, Loessner Martin J, Schmelcher Mathias
Institute of Food, Nutrition and Health, ETH Zurich, Zurich, Switzerland.
Comput Struct Biotechnol J. 2020 Dec 29;19:315-329. doi: 10.1016/j.csbj.2020.12.024. eCollection 2021.
Biotherapeutics, and antimicrobial proteins in particular, are of increasing interest for human medicine. An important challenge in the development of such therapeutics is their potential immunogenicity, which can induce production of anti-drug-antibodies, resulting in altered pharmacokinetics, reduced efficacy, and potentially severe anaphylactic or hypersensitivity reactions. For this reason, the development and application of effective deimmunization methods for protein drugs is of utmost importance. Deimmunization may be achieved by unspecific shielding approaches, which include PEGylation, fusion to polypeptides (e.g., XTEN or PAS), reductive methylation, glycosylation, and polysialylation. Alternatively, the identification of epitopes for T cells or B cells and their subsequent deletion through site-directed mutagenesis represent promising deimmunization strategies and can be accomplished through either experimental or computational approaches. This review highlights the most recent advances and current challenges in the deimmunization of protein therapeutics, with a special focus on computational epitope prediction and deletion tools.
生物治疗药物,尤其是抗菌蛋白,在人类医学中越来越受到关注。开发此类治疗药物的一个重要挑战是它们潜在的免疫原性,这可能会诱导抗药物抗体的产生,从而导致药代动力学改变、疗效降低以及潜在的严重过敏或超敏反应。因此,开发和应用有效的蛋白质药物去免疫方法至关重要。去免疫可以通过非特异性屏蔽方法实现,包括聚乙二醇化、与多肽融合(如XTEN或PAS)、还原甲基化、糖基化和多唾液酸化。另外,识别T细胞或B细胞的表位并通过定点诱变随后删除它们代表了有前景的去免疫策略,并且可以通过实验或计算方法来完成。本综述重点介绍了蛋白质治疗药物去免疫方面的最新进展和当前挑战,特别关注计算表位预测和删除工具。