Abstract
The knowledge and tools to characterise proteins have comprehensively developed in the last two decades. Some of these tools are used in formulation development to select formulation conditions suitable for long-term storage. However, there is an ongoing debate whether the predictions obtained with these tools are in good agreement with the outcome from real-time long-term stability studies. In this work, we investigate whether some of the state-of-the-art microscale, microvolume and non destructive biophysical techniques can be applied to promptly select formulations that minimise the aggregation of interferon alpha2a during storage. Interferon alpha2a was used as a model protein as it is known to form aggregates at concentrations over an order of magnitude higher than used in the commercial product. We apply a systematic formulation approach in which we investigate the effect of pH and ionic strength on protein stability. The predictions from the sample-saving biophysical characterisation are validated by long-term stability studies at 4 °C and 25 °C for 12 months on selected formulations. Interferon alpha2a shows minimal aggregation in 10 mM sodium acetate buffer with pH 4 and low ionic strength. The latter is indicated by the rapid sample-saving biophysical characterisation and confirmed by the long-term stability data.
Dokumententyp: | Zeitschriftenartikel |
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EU Funded Grant Agreement Number: | 675074 |
EU-Projekte: | Horizon 2020 > Marie Skłodowska Curie Actions > Marie Skłodowska-Curie Innovative Training Networks > 675074: PIPPI - Protein-excipient Interactions and Protein-Protein Interactions in formulation |
Publikationsform: | Postprint |
Keywords: | Protein stability; Protein formulation; Protein aggregation; Therapeutic proteins; Protein storage stability; High-throughput protein characterisation |
Fakultät: | Chemie und Pharmazie > Department für Pharmazie - Zentrum für Pharmaforschung |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie |
URN: | urn:nbn:de:bvb:19-epub-61787-5 |
ISSN: | 0378-5173 |
Sprache: | Englisch |
Dokumenten ID: | 61787 |
Datum der Veröffentlichung auf Open Access LMU: | 07. Mai 2019, 06:36 |
Letzte Änderungen: | 04. Nov. 2020, 13:39 |