Issue 29, 2018

Characterisation of protein aggregation with the Smoluchowski coagulation approach for use in biopharmaceuticals

Abstract

Protein aggregation is a field of increasing importance in the biopharmaceutical industry. Aggregated particles decrease the effectiveness of the drug and are associated with other risks, such as increased immunogenicity. This article explores the possibility of using the Smoluchowski coagulation equation and similar models in the prediction of aggregate-particle formation. Three different monoclonal antibodies, exhibiting different aggregation pathways, are analysed. Experimental data are complemented with aggregation dynamics calculated by a coagulation model. Different processes are implemented in the coagulation equation approach, needed to cover the actual phenomena observed in the aggregation of biopharmaceuticals, such as the initial conformational change of the native monomer and reversibility of smaller oligomers. When describing the formation of larger particles, the effect of different aggregation kernel parameters on the corresponding particle size distribution is studied. A significant impact of the aggregate fractal nature on overall particle size distribution is also analysed. More generally, this work is aimed to establish a mesoscopic phenomenological approach for characterisation of protein aggregation phenomena in the context of biopharmaceuticals, capable of covering various aggregate size scales from nanometres to micrometres and reach large time-scales, up to years, as needed for drug development.

Graphical abstract: Characterisation of protein aggregation with the Smoluchowski coagulation approach for use in biopharmaceuticals

Article information

Article type
Paper
Submitted
04 May 2018
Accepted
06 Jun 2018
First published
04 Jul 2018
This article is Open Access
Creative Commons BY license

Soft Matter, 2018,14, 6001-6012

Characterisation of protein aggregation with the Smoluchowski coagulation approach for use in biopharmaceuticals

M. Zidar, D. Kuzman and M. Ravnik, Soft Matter, 2018, 14, 6001 DOI: 10.1039/C8SM00919H

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