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Author Spotlight: Detecting Low-Abundant Host Cell Proteins in Drug Products Using Enrichment Beads and Limited Digestion
Published on: January 19, 2024
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Immunoinformatic Risk Assessment of Host Cell Proteins During Process Development for Biologic Therapeutics
Kirk Haltaufderhyde1, Brian J Roberts1, Sundos Khan1
1EpiVax, Inc, 188 Valley St #424, Providence, Rhode Island, USA.
The AAPS Journal
|September 11, 2023
Summary
A new computational tool, ISPRI-HCP, assesses the immunogenic risk of host cell proteins (HCPs) in biologic drugs. It evaluates T cell epitope density and conservation to predict potential immunogenicity, aiding drug development.
Area of Science:
- Biopharmaceutical Manufacturing
- Immunology
- Computational Biology
Background:
- Host cell proteins (HCPs) are critical impurities in biologic drug products that require careful identification and removal.
- Diverse manufacturing processes for biologics like monoclonal antibodies, enzyme replacement therapies, and vaccines can lead to varying HCP profiles.
- The immunogenic potential of HCPs is linked to their sequence conservation with human proteins, with less conserved sequences potentially being more immunogenic.
Purpose of the Study:
- To develop and validate a computational tool for estimating the immunogenic potential of HCPs.
- To provide a method for classifying HCP impurities based on their predicted immunogenicity risk.
- To support process development and ensure the safety of biologic drug products.
Main Methods:
- Development of the ISPRI-HCP computational tool.
- Evaluation of T cell epitope density within HCP sequences.
- Quantification of the relative conservation of HCP T cell epitopes with the human proteome.
Main Results:
- The ISPRI-HCP tool effectively estimates the immunogenic potential of HCP sequences.
- Case studies demonstrate the tool's utility in classifying candidate HCP impurities by immunogenicity risk.
- The method provides a quantitative measure of immunogenicity risk for HCPs.
Conclusions:
- ISPRI-HCP is a valuable tool for assessing HCP immunogenicity during biologic drug development.
- This computational approach aids in the risk-based classification of HCP impurities.
- The tool contributes to enhancing the safety and quality of biopharmaceutical products.
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