Use of a folding model and in situ spectroscopic techniques for rational formulation development and stability testing of monoclonal antibody therapeutics.
Use of a folding model and in situ spectroscopic techniques for rational formulation development and stability testing of monoclonal antibody therapeutics.
复制标题
使用折叠模型和原位光谱技术进行单克隆抗体疗法的合理配方开发和稳定性测试。
DOI:
10.1002/jps.21938
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发表时间:
2010
影响因子:
3.8
通讯作者:
Balu-Iyer,SathyV
中科院分区:
文献类型:
--
作者:
Rao,Gauri;Iyer,Vandana;Kosloski,MatthewP;Pisal,DipakS;Shin,Eunkyoung;Middaugh,CRussell;Balu-Iyer,SathyV
Aggregation is a critical issue that hampers the development of monoclonal antibody therapeutics (Mabs). Traditionally, aggregation is considered a process in which native forms of proteins are transformed into an unstable highly associated form through an intermediate formation step. Here we describe the unfolding of an antiCD40 antibody using a folding model based on Lumry–Eyring nucleated polymerization (LENP) model. This model captures several experimental features of the thermal unfolding of this protein as studied by commonin situbiophysical techniques such as circular dichroism, fluorescence spectroscopy, and turbidity measurements. According to this model, the unfolding and aggregation of the antiCD40 antibody is determined by several distinct steps that include conformational change(s) to generate aggregation prone states, reversible oligomer formation, nucleation and growth as well as their kinetics, and the formation of higher order assemblies/aggregates. Furthermore, the loss of monomer is controlled by both thermodynamic (equilibrium unfolding) and kinetic determinants of the unfolding process. This approach captures both of these rate‐limiting steps. It can be concluded that this approach is sensitive to formulation conditions such as protein concentration, changes in buffer conditions, and temperature stress. The potential use of this approach in formulation development and stability testing of Mabs is discussed. © 2009 Wiley‐Liss, Inc. and the American Pharmacists Association J Pharm Sci 99: 1697–1706, 2010
影响因子:
3.8
作者:
Ramani,Karthik;Purohit,Vivek;Middaugh,CRussell;Balasubramanian,SathyamangalamV
通讯作者:
Balasubramanian,SathyamangalamV
影响因子:
3.4
作者:
A. Usami;A. Ohtsu;S. Takahama;T. Fujii
通讯作者:
T. Fujii
影响因子:
3.8
作者:
Ionescu, Roxana M.;Vlasak, Josef;Kirchmeier, Marc
通讯作者:
Kirchmeier, Marc