AI Article Synopsis

  • Rapid formulation development for therapeutic proteins is essential due to tight market timelines, but conventional methods struggle with high concentrations needed in later stages.
  • This study introduces a high throughput (HT) workflow that integrates a micro-buffer exchange system with automated analytics, allowing effective screening at necessary concentrations while significantly reducing hands-on and run times.
  • The workflow’s effectiveness was validated by comparing formulation properties from HT samples and traditional methods, with promising results in two case studies examining pH and excipient effects on stability and viscosity.

Article Abstract

Rapid and efficient formulation development is critical to successfully bringing therapeutic protein drug products into a competitive market under increasingly aggressive timelines. Conventional application of high throughput techniques for formulation development have been limited to lower protein concentrations, which are not applicable to late stage development of high concentration therapeutics. In this work, we present a high throughput (HT) formulation workflow that enables screening at representative concentrations via integration of a micro-buffer exchange system with automated analytical instruments. The operational recommendations associated with the use of such HT systems as well as the efficiencies gained (reduction in hands-on time and run time by over 70% and 30%, respectively), which enable practical characterization of an expanded formulation design space, are discussed. To demonstrate that the workflow is fit for purpose, the formulation properties and stability profiles (SEC and CEX) from samples generated by the HT workflow were compared to those processed by ultrafiltration/diafiltration, and the results were shown to be in good agreement. This approach was further applied to two case studies, one focused on a formulation screen that studied the effects of pH and excipient on viscosity and stability, and the other focused on selection of an appropriate viscosity mimic solution for a protein product.

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Source
http://dx.doi.org/10.1016/j.xphs.2020.10.040DOI Listing

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