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      A novel 3D spheroid model of rheumatoid arthritis synovial tissue incorporating fibroblasts, endothelial cells, and macrophages

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          Abstract

          Objective

          Rheumatoid Arthritis (RA) is a progressive and systemic autoimmune disorder associated with chronic and destructive joint inflammation. The hallmarks of joint synovial inflammation are cellular proliferation, extensive neoangiogenesis and infiltration of immune cells, including macrophages. In vitro approaches simulating RA synovial tissue are crucial in preclinical and translational research to evaluate novel diagnostic and/or therapeutic markers. Two-dimensional (2D) settings present very limited in vivo physiological proximity as they cannot recapitulate cell-cell and cell-matrix interactions occurring in the three-dimensional (3D) tissue compartment. Here, we present the engineering of a spheroid-based model of RA synovial tissue which mimics 3D interactions between cells and pro-inflammatory mediators present in the inflamed synovium.

          Methods

          Spheroids were generated by culturing RA fibroblast-like-synoviocytes (RAFLS), human umbilical vein endothelial cells (ECs) and monocyte-derived macrophages in a collagen-based 3D scaffold. The spheroids were cultured in the presence or absence of vascular endothelial growth factor (VEGF) and fibroblast growth factor 2 (bFGF) or RA synovial fluid (SF). Spheroid expansion and cell migration were quantified for all conditions using confocal microscopy and digital image analysis.

          Results

          A novel approach using machine learning was developed to quantify spheroid outgrowth and used to reexamine the existing spheroid-based model of RA synovial angiogenesis consisting of ECs and RAFLS. A 2-fold increase in the spheroid outgrowth ratio was demonstrated upon VEGF/bFGF stimulation ( p<0.05). The addition of macrophages within the spheroid structure (3.75x10 4 RAFLS, 7.5x10 4 ECs and 3.0x10 4 macrophages) resulted in good incorporation of the new cell type. The addition of VEGF/bFGF significantly induced spheroid outgrowth ( p<0.05) in the new system. SF stimulation enhanced containment of macrophages within the spheroids.

          Conclusion

          We present a novel spheroid based model consisting of RAFLS, ECs and macrophages that reflects the RA synovial tissue microenvironment. This model may be used to dissect the role of specific cell types in inflammatory responses in RA, to study specific signaling pathways involved in the disease pathogenesis and examine the effects of novel diagnostic (molecular imaging) and therapeutic compounds, including small molecule inhibitors and biologics.

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          Most cited references49

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          Macrophage Polarization.

          Macrophage polarization refers to how macrophages have been activated at a given point in space and time. Polarization is not fixed, as macrophages are sufficiently plastic to integrate multiple signals, such as those from microbes, damaged tissues, and the normal tissue environment. Three broad pathways control polarization: epigenetic and cell survival pathways that prolong or shorten macrophage development and viability, the tissue microenvironment, and extrinsic factors, such as microbial products and cytokines released in inflammation. A plethora of advances have provided a framework for rationally purifying, describing, and manipulating macrophage polarization. Here, I assess the current state of knowledge about macrophage polarization and enumerate the major questions about how activated macrophages regulate the physiology of normal and damaged tissues.
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            The pathogenesis of rheumatoid arthritis.

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              Rheumatoid arthritis

              Rheumatoid arthritis (RA) is a chronic, inflammatory, autoimmune disease that primarily affects the joints and is associated with autoantibodies that target various molecules including modified self-epitopes. The identification of novel autoantibodies has improved diagnostic accuracy, and newly developed classification criteria facilitate the recognition and study of the disease early in its course. New clinical assessment tools are able to better characterize disease activity states, which are correlated with progression of damage and disability, and permit improved follow-up. In addition, better understanding of the pathogenesis of RA through recognition of key cells and cytokines has led to the development of targeted disease-modifying antirheumatic drugs. Altogether, the improved understanding of the pathogenetic processes involved, rational use of established drugs and development of new drugs and reliable assessment tools have drastically altered the lives of individuals with RA over the past 2 decades. Current strategies strive for early referral, early diagnosis and early start of effective therapy aimed at remission or, at the least, low disease activity, with rapid adaptation of treatment if this target is not reached. This treat-to-target approach prevents progression of joint damage and optimizes physical functioning, work and social participation. In this Primer, we discuss the epidemiology, pathophysiology, diagnosis and management of RA.
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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
                20 July 2023
                2023
                : 14
                : 1188835
                Affiliations
                [1] 1 Department of Rheumatology & Clinical Immunology, Amsterdam Rheumatology & Immunology Center, Amsterdam University Medical Centers, University of Amsterdam , Amsterdam, Netherlands
                [2] 2 Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam , Amsterdam, Netherlands
                Author notes

                Edited by: Alain Haziot, Institut National de la Santé et de la Recherche Médicale (INSERM), France

                Reviewed by: Nicole Schäfer, University Medical Center Regensburg, Germany; Yubin Luo, Sichuan University, China

                *Correspondence: Sander W. Tas, s.w.tas@ 123456amsterdamumc.nl
                Article
                10.3389/fimmu.2023.1188835
                10402919
                37545512
                a2eb6e29-d6a3-4af8-9331-9df6749e13f9
                Copyright © 2023 Philippon, van Rooijen, Khodadust, van Hamburg, van der Laken and Tas

                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
                : 17 March 2023
                : 03 July 2023
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 49, Pages: 11, Words: 5862
                Funding
                This work was funded by a European Horizon 2020 MSCA-COFUND grant (ARCAID; project 847551) and GlaxoSmithKline. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.
                Categories
                Immunology
                Original Research
                Custom metadata
                Molecular Innate Immunity

                Immunology
                rheumatoid arthritis,3d model,endothelial cells,fibroblasts,macrophages
                Immunology
                rheumatoid arthritis, 3d model, endothelial cells, fibroblasts, macrophages

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