Literature DB >> 25832583

Subvisible (2-100 μm) Particle Analysis During Biotherapeutic Drug Product Development: Part 1, Considerations and Strategy.

Linda O Narhi1, Vincent Corvari2, Dean C Ripple3, Nataliya Afonina4, Irene Cecchini5, Michael R Defelippis2, Patrick Garidel6, Andrea Herre6, Atanas V Koulov7, Tony Lubiniecki8, Hanns-Christian Mahler9, Paolo Mangiagalli10, Douglas Nesta11, Bernardo Perez-Ramirez12, Alla Polozova13, Mara Rossi5, Roland Schmidt9, Robert Simler14, Satish Singh15, Thomas M Spitznagel16, Andrew Weiskopf14, Klaus Wuchner17.   

Abstract

Measurement and characterization of subvisible particles (defined here as those ranging in size from 2 to 100 μm), including proteinaceous and nonproteinaceous particles, is an important part of every stage of protein therapeutic development. The tools used and the ways in which the information generated is applied depends on the particular product development stage, the amount of material, and the time available for the analysis. In order to compare results across laboratories and products, it is important to harmonize nomenclature, experimental protocols, data analysis, and interpretation. In this manuscript on perspectives on subvisible particles in protein therapeutic drug products, we focus on the tools available for detection, characterization, and quantification of these species and the strategy around their application.
© 2015 Wiley Periodicals, Inc. and the American Pharmacists Association.

Keywords:  biotechnology; light-scattering; microparticles; microscopy; particle size; physical stability; protein aggregation; protein formulation

Mesh:

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Year:  2015        PMID: 25832583     DOI: 10.1002/jps.24437

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


  7 in total

1.  Nanoparticulate Impurities Isolated from Pharmaceutical-Grade Sucrose Are a Potential Threat to Protein Stability.

Authors:  Daniel Weinbuch; Mitchel Ruigrok; Wim Jiskoot; Andrea Hawe
Journal:  Pharm Res       Date:  2017-10-24       Impact factor: 4.200

2.  Oil-Immersion Flow Imaging Microscopy for Quantification and Morphological Characterization of Submicron Particles in Biopharmaceuticals.

Authors:  Nils Krause; Sebastian Kuhn; Erik Frotscher; Felix Nikels; Andrea Hawe; Patrick Garidel; Tim Menzen
Journal:  AAPS J       Date:  2021-01-04       Impact factor: 4.009

3.  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

Review 4.  Best Practices for Aggregate Quantitation of Antibody Therapeutics by Sedimentation Velocity Analytical Ultracentrifugation.

Authors:  George M Bou-Assaf; Ivan L Budyak; Michael Brenowitz; Eric S Day; David Hayes; John Hill; Ranajoy Majumdar; Paola Ringhieri; Peter Schuck; Jasper C Lin
Journal:  J Pharm Sci       Date:  2022-01-02       Impact factor: 3.784

5.  Machine learning and statistical analyses for extracting and characterizing "fingerprints" of antibody aggregation at container interfaces from flow microscopy images.

Authors:  Austin L Daniels; Christopher P Calderon; Theodore W Randolph
Journal:  Biotechnol Bioeng       Date:  2020-07-28       Impact factor: 4.530

6.  Evaluation of Microflow Digital Imaging Particle Analysis for Sub-Visible Particles Formulated with an Opaque Vaccine Adjuvant.

Authors:  Grant E Frahm; Alex W T Pochopsky; Tessa M Clarke; Michael J W Johnston
Journal:  PLoS One       Date:  2016-02-29       Impact factor: 3.240

7.  Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles.

Authors:  Christopher P Calderon; Ana Krhač Levačić; Constanze Helbig; Klaus Wuchner; Tim Menzen
Journal:  J Pharm Sci       Date:  2022-06-01       Impact factor: 3.784

  7 in total

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