Literature DB >> 35081407

Stress Factors in Primary Packaging, Transportation and Handling of Protein Drug Products and Their Impact on Product Quality.

Linda O Narhi1, Danny K Chou2, Twinkle R Christian3, Scott Gibson4, Bharat Jagannathan5, Wim Jiskoot6, Susan Jordan7, Alavattam Sreedhara8, Lloyd Waxman9, Tapan K Das10.   

Abstract

Protein-based biologic drugs encounter a variety of stress factors during drug substance (DS) and drug product (DP) manufacturing, and the subsequent steps that result in clinical administration by the end user. This article is the third in a series of commentaries on these stress factors and their effects on biotherapeutics. It focuses on assessing the potential negative impact from primary packaging, transportation, and handling on the quality of the DP. The risk factors include ingress of hazardous materials such as oxidizing residuals from the sterilization process, delamination- or rubber stopper-derived particles, silicone oil droplets, and leachables into the formulation, as well as surface interactions between the protein and packaging materials, all of which may cause protein degradation. The type of primary packaging container used (such as vials and prefilled syringes) may substantially influence the impact of transportation and handling stresses on DP Critical Quality Attributes (CQAs). Mitigations via process development and robustness studies as well as control strategies for DP CQAs are discussed, along with current industry best practices for scale-down and in-use stability studies. We conclude that more research is needed on postproduction transportation and handling practices and their implications for protein DP quality.
Copyright © 2022 American Pharmacists Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Autoinjector; Biologics; Clinical administration; Foreign particle; Glass vial; Leachable; Primary packaging; Protein aggregation; Syringe; Transportation

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Year:  2022        PMID: 35081407     DOI: 10.1016/j.xphs.2022.01.011

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  1 in total

1.  Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation.

Authors:  Nidhi G Thite; Saba Ghazvini; Nicole Wallace; Naomi Feldman; Christopher P Calderon; Theodore W Randolph
Journal:  J Pharm Sci       Date:  2022-07-11       Impact factor: 3.784

  1 in total

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