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The purpose of this article is to illustrate how performance of an immunogenicity risk assessment at the earliest stage of product development can be instructive for critical early decision-making such as choice of host system for expression of a recombinant therapeutic protein and determining the extent of analytical characterization and control of heterogeneity in co- and post-translational modifications. Application of a risk-based approach for a hypothetical recombinant DNA analogue of a human endogenous cytokine with immunomodulatory functions is described. The manner in which both intrinsic and extrinsic factors could interact to influence the relative scale of risk associated with expression in alternative hosts, namely Chinese hamster ovary (CHO) cells, Pichia pastoris, Escherichia coli, or Nicotinia tabacum is considered in relation to the development of the investigational product to treat an autoimmune condition. The article discusses how particular product-related variants (primary amino acid sequence modifications and post-translational glycosylation or other modifications) and process-derived impurities (host cell proteins, endotoxins, beta-glucans) associated with the different expression systems might influence the impact of immunogenicity on overall clinical benefit versus risk for a therapeutic protein candidate that has intrinsic MHC Class II binding potential. The implications of the choice of expression system for relative risk are discussed in relation to specific actions for evaluation and measures for risk mitigation, including use of in silico and in vitro methods to understand intrinsic immunogenic potential relative to incremental risk associated with non-human glycan and protein impurities. Finally, practical guidance on presentation of this information in regulatory submissions to support clinical development is provided.

An evaluation of potential antibody formation to biologic therapeutics during the course of nonclinical safety studies and its impact on the toxicity profile is expected under current regulatory guidance and is accepted standard practice. However, approaches for incorporating this information in the interpretation of nonclinical safety studies are not clearly established. Described here are the immunological basis of anti-drug antibody formation to biopharmaceuticals (immunogenicity) in laboratory animals, and approaches for generating and interpreting immunogenicity data from nonclinical safety studies of biotechnology-derived therapeutics to support their progression to clinical evaluation. We subscribe that immunogenicity testing strategies should be adapted to the specific needs of each therapeutic development program, and data generated from such analyses should be integrated with available clinical and anatomic pathology, pharmacokinetic, and pharmacodynamic data to properly interpret nonclinical studies.

Biotherapeutics, including recombinant or plasma-derived human proteins and antibody-based molecules, have emerged as an important class of pharmaceuticals. Aggregation and immunogenicity are among the major bottlenecks during discovery and development of biotherapeutics. Computational tools that can predict aggregation prone regions as well as T- and B-cell immune epitopes from protein sequence and structure have become available recently. Here, we describe a potential coupling between aggregation and immunogenicity: T-cell and B-cell immune epitopes in therapeutic proteins may contain aggregation-prone regions. The details of biological mechanisms behind this observation remain to be understood. However, our observation opens up an exciting potential for rational design of de-immunized novel, as well as follow on biotherapeutics with reduced aggregation propensity. [ABSTRACT FROM AUTHOR]