Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2484542 | Journal of Pharmaceutical Sciences | 2016 | 8 Pages |
Abstract
For therapeutic protein analytical studies related to evaluating lot-to-lot variability, different processes and/or formulations, or biosimilars, there is growing interest in applying novel data visualization tools for fingerprint analysis to identify statistically significant differences between 2 samples. Comparative Signature Diagrams (CSDs) were previously developed to display such differences as colored contour plots using a variety of biophysical data sets. In this study, several improvements are proposed to enhance readability and quantitative determinations of CSDs using protein stability data from more commonly used analytical methods such as size exclusion chromatography and capillary isoelectric focusing. To demonstrate the effectiveness of improved CSDs for data visualization, an accelerated and real-time stability study was set up for an IgG1 mAb (mAb A) and its corresponding triple mutant (mAb E). The stability profiles of both mAbs were compared for differences in aggregation (size exclusion chromatography) and charge heterogeneity (capillary isoelectric focusing) profiles over time. Both traditional data analysis and the improved CSDs conclude that the triple mutant mAb E is more susceptible to physicochemical degradation than mAb A under accelerated conditions. The current abilities and limitations of CSDs to provide fingerprint analysis of protein stability profiles to facilitate the determination of similarity versus nonsimilarity between samples is discussed.
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Authors
Jae Hyun Kim, Sangeeta B. Joshi, Reza Esfandiary, Vidyashankara Iyer, Steven M. Bishop, David B. Volkin, Charles Russell Middaugh,