Evaluation of a 3D Human Artificial Lymph Node as Test Model for the Assessment of Immunogenicity of Protein Aggregates.
immunogenicity
immunology
in vitro models
protein aggregation
protein(s)
Journal
Journal of pharmaceutical sciences
ISSN: 1520-6017
Titre abrégé: J Pharm Sci
Pays: United States
ID NLM: 2985195R
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
14
11
2018
revised:
30
01
2019
accepted:
13
02
2019
pubmed:
25
2
2019
medline:
28
7
2020
entrez:
25
2
2019
Statut:
ppublish
Résumé
The immunogenicity of protein aggregates has been investigated in numerous studies. Nevertheless, it is still unknown which kind of protein aggregates enhance immunogenicity the most. The ability of the currently used in vitro and in vivo systems regarding their predictability of immunogenicity in humans is often questionable, and results are partially contradictive. In this study, we used a 2D in vitro assay and a complex 3D human artificial lymph node model to predict the immunogenicity of protein aggregates of bevacizumab and adalimumab. The monoclonal antibodies were exposed to different stress conditions such as light, heat, and mechanical stress to trigger the formation of protein aggregates and particles, and samples were analyzed thoroughly. Cells and culture supernatants were harvested and analyzed for dendritic cell marker and cytokines. Our study in the artificial lymph node model revealed that bevacizumab after exposure to heat triggered a TH1- and proinflammatory immune response, whereas no trend of immune responses was seen for adalimumab after exposure to different stress conditions. The human artificial lymph node model represents a new test model for testing the immunogenicity of protein aggregates combining the relevance of a 3D human system with the rather easy handling of an in vitro setup.
Identifiants
pubmed: 30797781
pii: S0022-3549(19)30096-6
doi: 10.1016/j.xphs.2019.02.011
pii:
doi:
Substances chimiques
Antibodies, Monoclonal
0
Cytokines
0
Protein Aggregates
0
Bevacizumab
2S9ZZM9Q9V
Adalimumab
FYS6T7F842
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2358-2366Informations de copyright
Copyright © 2019 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.