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      Immunogenicity of Bioproducts: Cellular Models to Evaluate the Impact of Therapeutic Antibody Aggregates

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          Abstract

          Patients treated with bioproducts (BPs) frequently develop anti-drug antibodies (ADAs) with potential neutralizing capacities leading to loss of clinical response or potential hypersensitivity reactions. Many factors can influence BP immunogenicity and could be related to the patient, the treatment, as well as to the product itself. Among these latter factors, it is now well accepted that BP aggregation is associated with an increased potential for immunogenicity, as aggregates seem to be correlated with ADA development. Moreover, the presence of high-affinity ADAs suggests a CD4 T-cell dependent adaptive immune response and therefore a pivotal role for antigen-presenting cells (APCs), such as dendritic cells (DCs). In this review, we address the in vitro methods developed to evaluate how monoclonal antibodies could trigger the immunization process by focusing on the role of aggregated antibodies in the establishment of this response. In particular, we will present the different cell-based assays that have been used to assess the potential of antibodies and their aggregates to modulate cellular mechanisms leading to activation and the biological parameters (cellular activation markers, proliferation and secreted molecules) that can be measured to evaluate the different cell activation stages and their consequences in the propagation of the immune response. Indeed, the use of such strategies could help evaluate the risk of BP immunogenicity and their role in mitigating this risk.

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          Most cited references57

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          Dendritic cells and cytokines in human inflammatory and autoimmune diseases.

          Dendritic cells (DCs) produce cytokines and are susceptible to cytokine-mediated activation. Thus, interaction of resting immature DCs with TLR ligands, for example nucleic acids, or with microbes leads to a cascade of pro-inflammatory cytokines and skewing of T cell responses. Conversely, several cytokines are able to trigger DC activation (maturation) via autocrine, for example TNF and plasmacytoid DCs, and paracrine, for example type I IFN and myeloid DCs, pathways. By controlling DC activation, cytokines regulate immune homeostasis and the balance between tolerance and immunity. The increased production and/or bioavailability of cytokines and associated alterations in DC homeostasis have been implicated in various human inflammatory and autoimmune diseases. Targeting these cytokines with biological agents as already is the case with TNF and IL-1 represents a success of immunology and the coming years will expand the range of cytokines as therapeutic targets in autoinflammatory and autoimmune pathology.
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            Protein aggregation--pathways and influencing factors.

            Proteins generally will tend to aggregate under a variety of environmental conditions in comparison with small drug molecules. The extent of aggregation is dependent on many factors that can be broadly classified as intrinsic (primary, secondary, tertiary or quaternary structure) or extrinsic (environment in which protein is present, processing conditions, etc). These protein aggregates may exhibit less desirable characteristics like reduced or no biological activity, potential for immunogenicity or other side effects. Protein aggregation remains one of the major challenges in the development and commercialization of biotechnology products. This article is intended to review and discuss the latest understandings in protein aggregation pathways and the possible extrinsic factors that affect or control the protein aggregation process. Copyright 2010 Elsevier B.V. All rights reserved.
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              Monoclonal antibody TGN1412 trial failure explained by species differences in CD28 expression on CD4+ effector memory T-cells.

              In 2006, a life-threatening 'cytokine storm', not predicted by pre-clinical safety testing, rapidly occurred in all six healthy volunteers during the phase I clinical trial of the CD28 superagonist monoclonal antibody (mAb) TGN1412. To date, no unequivocal explanation for the failure of TGN1412 to stimulate profound cytokine release in vitro or in vivo in species used for pre-clinical safety testing has been established. Here, we have identified a species difference almost certainly responsible for this disparate immunopharmacology. Polychromatic flow cytometry and intracellular cytokine staining were employed to dissect the in vitro immunopharmacology of TGN1412 and other therapeutic mAbs at the cellular level to identify differences between humans and species used for pre-clinical safety testing. In vitro IL-2 and IFN-γ release from CD4+ effector memory T-cells were key indicators of a TGN1412-type response. This mechanism of cytokine release differed from that of other therapeutic mAbs, which can cause adverse reactions, because these other mAbs stimulate cytokine release primarily from natural killer cells. In contrast to humans, CD28 is not expressed on the CD4+ effector memory T-cells of all species used for pre-clinical safety testing, so cannot be stimulated by TGN1412. It is likely that activation of CD4+ effector memory T-cells by TGN1412 was responsible for the cytokine storm. Lack of CD28 expression on the CD4+ effector memory T-cells of species used for pre-clinical safety testing of TGN1412 offers an explanation for the failure to predict a 'cytokine storm' in humans.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                05 May 2020
                2020
                : 11
                : 725
                Affiliations
                Inserm, Inflammation, Microbiome and Immunosurveillance, Université Paris-Saclay , Châtenay-Malabry, France
                Author notes

                Edited by: Amy Rosenberg, United States Food and Drug Administration, United States

                Reviewed by: Oscar R. Burrone, International Centre for Genetic Engineering and Biotechnology, Italy; Sarita Patil, Massachusetts General Hospital and Harvard Medical School, United States

                *Correspondence: Isabelle Turbica, isabelle.turbica@ 123456universite-paris-saclay.fr

                This article was submitted to Vaccines and Molecular Therapeutics, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2020.00725
                7214678
                32431697
                fdbab970-1378-47c9-be1a-b6a90f335e1a
                Copyright © 2020 Nabhan, Pallardy and Turbica.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 February 2020
                : 31 March 2020
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 70, Pages: 9, Words: 0
                Categories
                Immunology
                Review

                Immunology
                immunogenicity,monoclonal antibodies,aggregation,danger signal,antigen,cell-based models
                Immunology
                immunogenicity, monoclonal antibodies, aggregation, danger signal, antigen, cell-based models

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