Literature DB >> 22736521

Protein particles: what we know and what we do not know.

Dean C Ripple1, Mariana N Dimitrova.   

Abstract

All therapeutic protein products contain intrinsic particles formed by the aggregation of protein monomers. There is growing interest in understanding particles in biopharmaceutical products, fostered on one hand by significant advancements in particle analysis and on the other hand by concerns about potential impact of particles on product quality and safety. With currently available methods, particles in therapeutic proteins can be counted, sized, and characterized in a rudimentary way over a broad size range (from 10s of nanometers to 100 s of micrometers). Here, we review the known attributes of common protein particles, and then discuss the gaps in our current knowledge. The capabilities, limitations, and opportunities for improvement of common particle counting and characterization methods are listed. We conclude that further analytical progress is needed to better classify and characterize the diversity of particles encountered in therapeutic proteins, which may vary in the degree of protein unfolding, the inclusion of nonprotein nucleation centers, and aggregate morphology. Very little is known about the potential correlation between specific particle attributes and increased immunogenicity. In this environment of uncertainty, a deeper understanding about specific particle attributes and potentially increased immunogenicity is greatly needed and will likely be an area of future intensive research.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22736521     DOI: 10.1002/jps.23242

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


  17 in total

1.  Factors Governing the Precision of Subvisible Particle Measurement Methods - A Case Study with a Low-Concentration Therapeutic Protein Product in a Prefilled Syringe.

Authors:  Anacelia Ríos Quiroz; Jens Lamerz; Thierry Da Cunha; Adeline Boillon; Michael Adler; Christof Finkler; Joerg Huwyler; Roland Schmidt; Hanns-Christian Mahler; Atanas V Koulov
Journal:  Pharm Res       Date:  2015-10-16       Impact factor: 4.200

2.  Structural characterization of IgG1 mAb aggregates and particles generated under various stress conditions.

Authors:  Srivalli N Telikepalli; Ozan S Kumru; Cavan Kalonia; Reza Esfandiary; Sangeeta B Joshi; C Russell Middaugh; David B Volkin
Journal:  J Pharm Sci       Date:  2014-01-22       Impact factor: 3.534

3.  Radar chart array analysis to visualize effects of formulation variables on IgG1 particle formation as measured by multiple analytical techniques.

Authors:  Cavan Kalonia; Ozan S Kumru; Jae Hyun Kim; C Russell Middaugh; David B Volkin
Journal:  J Pharm Sci       Date:  2013-10-09       Impact factor: 3.534

4.  The role of the medium in the effective-sphere interpretation of holographic particle characterization data.

Authors:  Mary Ann Odete; Fook Chiong Cheong; Annemarie Winters; Jesse J Elliott; Laura A Philips; David G Grier
Journal:  Soft Matter       Date:  2019-12-16       Impact factor: 3.679

5.  Transmission electron microscopy as an orthogonal method to characterize protein aggregates.

Authors:  Joyce J Sung; Neha N Pardeshi; Anke M Mulder; Sean K Mulligan; Joel Quispe; Kathy On; Bridget Carragher; Clinton S Potter; John F Carpenter; Anette Schneemann
Journal:  J Pharm Sci       Date:  2014-09-17       Impact factor: 3.534

6.  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

7.  Antibody adsorption on the surface of water studied by neutron reflection.

Authors:  Charles Smith; Zongyi Li; Robert Holman; Fang Pan; Richard A Campbell; Mario Campana; Peixun Li; John R P Webster; Steven Bishop; Rojaramani Narwal; Shahid Uddin; Christopher F van der Walle; Jian R Lu
Journal:  MAbs       Date:  2017-02-10       Impact factor: 5.857

8.  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

9.  Adsorption behavior of a human monoclonal antibody at hydrophilic and hydrophobic surfaces.

Authors:  Ruairidh G Couston; Maximilian W Skoda; Shahid Uddin; Christopher F van der Walle
Journal:  MAbs       Date:  2012-11-29       Impact factor: 5.857

10.  Correcting the Relative Bias of Light Obscuration and Flow Imaging Particle Counters.

Authors:  Dean C Ripple; Zhishang Hu
Journal:  Pharm Res       Date:  2015-11-10       Impact factor: 4.200

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