A Comparison Between Emerging and Current Biophysical Methods for the Assessment of Higher-Order Structure of Biopharmaceuticals

被引:29
作者
Wen, Jie [1 ]
Batabyal, Dipanwita [1 ]
Knutson, Nicholas [1 ]
Lord, Harrison [1 ]
Wikstrom, Mats [1 ]
机构
[1] Amgen Inc, Higher Order Struct, Attribute Sci, Thousand Oaks, CA 91320 USA
关键词
monoclonal antibody; higher-order structure; protein structure; secondary structure; tertiary structure; biophysical methods; comparability; biosimilarity; biopharmaceutical characterization; PROTEIN; NMR;
D O I
10.1016/j.xphs.2019.10.026
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The higher-order structure (HOS) of protein therapeutics is a critical quality attribute directly related to their function. Traditionally, the HOS of protein therapeutics has been characterized by methods with low to medium structural resolution such as Fourier-transform infrared (FTIR), circular dichroism (CD), and intrinsic fluorescence spectroscopy, and differential scanning calorimetry (DSC). Recently, high-resolution nuclear magnetic resonance (NMR) methods have emerged as powerful tools for HOS characterization. NMR is a multi-attribute method with unique capabilities to provide information about all the structural levels of proteins in solution. We have in this study compared 1 D H-1 Profile NMR with the established biophysical methods for HOS assessments using a set of blended samples of the monoclonal antibodies belonging to the subclasses IgG1 and IgG2. The study shows that Profile NMR can distinguish between most sample combinations (93%), DSC can differentiate 61% of the sample combinations, and near-ultraviolet CD spectroscopy can differentiate 52% of the sample combinations, whereas no significant distinction could be made between any samples using FTIR or intrinsic fluorescence. Our data therefore show that NMR has superior ability to address differences in HOS, a feature that could be directly applicable in comparability and similarity assessments. (C) 2020 American Pharmacists Association (R). Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:247 / 253
页数:7
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