Application Notes

Getting the full picture: predicting the aggregation propensity of mAbs using chemical and thermal denaturation on a single, fully automated platform

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5 APPLICATION NOTE ©2017 NanoTemper Technologies, Inc. South San Francisco, CA, USA. All Rights Reserved. conditions, and that neither aggregation of the folded nor unfolded state occur. In order to test this hypothesis, we compared the chemical denaturation data with long-term stability measurements. Here, monomer content and aggregation were monitored by HPSEC and turbidity measurements over a time period of up to 17 months at different temperatures, respectively. An increase in aggregation over time results in a decrease in monomer content and an increase in sample turbidity. Formulation F04 was identified by both methods to provide best long- term stability, as it showed the highest monomer concentrations and lowest turbidity values over time. This demonstrates that ∆G° app -measurements can robustly predict the long-term aggregation propensity of mAbs. In addition to chemical denaturation experiments, we investigated the conformational and colloidal stability of the mAb by nanoDSF with backreflection detection optics. F03 and F04, which were shown to be most stable in the long- term turbidity measurements, had the highest unfolding transition temperatures (75.3 °C and 73.8 °C, respectively) when compared to the least stable formulations F01 and F02 (69.7 °C each) (Figure 4). F03 and F04 also had the highest aggregation onset temperature (86.0 °C and 86.4 °C, respectively) (Figure 5). Notably, the backreflection signal intensity scaled directly with the long-term stability measurements, with F04 showing the smallest signal at 95 °C (225.2 mAU), while F01 and F02 showed the highest degree of aggregation (313.4 mAU and 312.0 mAU, respectively). These data suggest that the temperature-induced unfolding and subsequent aggregation detection using the backreflection optics of the Prometheus NT.Plex can be used as a predictive method to evaluate the degree of aggregation propensity of the unfolded state of biologicals. Thus, quantifying the degree of aggregation using backreflection detection could be beneficial when compared to conventional light-scattering approaches: Light scattering can typically only be used for T agg determination when using concentrated samples, since the signal is typically lost once strong aggregation occurs. In contrast, the backreflection signal quantifies the overall loss in backreflected light intensity, and can thus qualitatively measure the overall degree of aggregation even in highly concentrated samples.

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