Literature DB >> 34059716

Freeze-thaw characterization process to minimize aggregation and enable drug product manufacturing of protein based therapeutics.

Keethkumar Jain1, Nazila Salamat-Miller2, Katherine Taylor2.   

Abstract

Physical instabilities of proteins in the form of protein aggregation continue to be a major challenge in the development of protein drug candidates. Aggregation can occur during different stages of product lifecycle such as freeze-thaw, manufacturing, shipping, and storage, and can potentially delay commercialization of candidates. A lack of clear understanding of the underlying mechanism(s) behind protein aggregation and the potential immunogenic reactions renders the presence of aggregates in biotherapeutic products undesirable. Understanding and minimizing aggregation can potentially reduce immunogenic responses and make protein therapeutics safer. Therefore, it is imperative to identify, understand, and control aggregation during early formulation development and develop reliable and orthogonal analytical methodologies to detect and monitor levels of aggregation. Freezing and thawing are typical steps involved in the manufacturing of drug product and could result in complex physical and chemical changes, which in turn could potentially cause protein aggregation. This study provides a systematic approach in understanding and selecting the ideal freeze-thaw conditions for manufacturing of protein-based therapeutics. It identifies the importance of balancing different excipients with an overall goal of sufficiently reducing or eliminating aggregation and developing a stable and scalable formulation. The results demonstrated that the freeze-thaw damage of mAb-1 in aqueous solutions was significantly reduced by identification of optimal freeze-thaw conditions using first a small-scale model with subsequent at-scale verifications. The work provides a framework for successful transfer of drug product manufacturing process from small-scale to the manufacturing scale production environment especially for molecules that are susceptible to freeze-thaw induced degradations.

Entities:  

Year:  2021        PMID: 34059716     DOI: 10.1038/s41598-021-90772-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  5 in total

1.  Toward a unified scheme for the aggregation of tau into Alzheimer paired helical filaments.

Authors:  S Barghorn; E Mandelkow
Journal:  Biochemistry       Date:  2002-12-17       Impact factor: 3.162

Review 2.  Current perspectives on stability of protein drug products during formulation, fill and finish operations.

Authors:  Nitin Rathore; Rahul S Rajan
Journal:  Biotechnol Prog       Date:  2008-05-17

3.  Impact of Uncontrolled vs Controlled Rate Freeze-Thaw Technologies on Process Performance and Product Quality.

Authors:  Chakradhar Padala; Feroz Jameel; Nitin Rathore; Kapil Gupta; Ananth Sethuraman
Journal:  PDA J Pharm Sci Technol       Date:  2010 Jul-Aug

4.  Disulfide-bond scrambling promotes amorphous aggregates in lysozyme and bovine serum albumin.

Authors:  Mu Yang; Colina Dutta; Ashutosh Tiwari
Journal:  J Phys Chem B       Date:  2015-03-02       Impact factor: 2.991

5.  Preventing disulfide bond formation weakens non-covalent forces among lysozyme aggregates.

Authors:  Vijay Kumar Ravi; Mohit Goel; Hema Chandra Kotamarthi; Sri Rama Koti Ainavarapu; Rajaram Swaminathan
Journal:  PLoS One       Date:  2014-02-14       Impact factor: 3.240

  5 in total
  2 in total

1.  Aggregation Time Machine: A Platform for the Prediction and Optimization of Long-Term Antibody Stability Using Short-Term Kinetic Analysis.

Authors:  Marko Bunc; San Hadži; Christian Graf; Matjaž Bončina; Jurij Lah
Journal:  J Med Chem       Date:  2022-01-28       Impact factor: 7.446

2.  Incorporating Cryopreservation Evaluations Into the Design of Cell-Based Drug Delivery Systems: An Opinion Paper.

Authors:  Marlene Davis Ekpo; Jingxian Xie; Xiangjian Liu; Raphael Onuku; George Frimpong Boafo; Songwen Tan
Journal:  Front Immunol       Date:  2022-07-15       Impact factor: 8.786

  2 in total

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