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Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation

Weber, Marie-Christin ; Fischer, Lisa ; Damerau, Alexandra ; Ponomarev, Igor ; Pfeiffenberger, Moritz ; Gaber, Timo ; Götschel, Sebastian ; Lang, Jens ; Röblitz, Susanna ; Buttgereit, Frank ; Ehrig, Rainald ; Lang, Annemarie (2024)
Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation.
In: Biofabrication, 2020, 12 (4)
doi: 10.26083/tuprints-00020376
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation
Language: English
Date: 19 March 2024
Place of Publication: Darmstadt
Year of primary publication: 2020
Place of primary publication: Bristol
Publisher: IOP Publishing
Journal or Publication Title: Biofabrication
Volume of the journal: 12
Issue Number: 4
Collation: 21 Seiten
DOI: 10.26083/tuprints-00020376
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Understanding the pathophysiological processes of cartilage degradation requires adequate model systems to develop therapeutic strategies towards osteoarthritis (OA). Although different in vitro or in vivo models have been described, further comprehensive approaches are needed to study specific disease aspects. This study aimed to combine in vitro and in silico modeling based on a tissue-engineering approach using mesenchymal condensation to mimic cytokine-induced cellular and matrix-related changes during cartilage degradation. Thus, scaffold-free cartilage-like constructs (SFCCs) were produced based on self-organization of mesenchymal stromal cells (mesenchymal condensation) and (i) characterized regarding their cellular and matrix composition or secondly (ii) treated with interleukin-1β (IL–1β) and tumor necrosis factor α (TNFα) for 3 weeks to simulate OA-related matrix degradation. In addition, an existing mathematical model based on partial differential equations was optimized and transferred to the underlying settings to simulate the distribution of IL–1β, type II collagen degradation and cell number reduction. By combining in vitro and in silico methods, we aimed to develop a valid, efficient alternative approach to examine and predict disease progression and effects of new therapeutics.

Uncontrolled Keywords: in vitro model, tissue engineered cartilage, cytokine-induced inflammation, in silico model
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-203769
Classification DDC: 500 Science and mathematics > 510 Mathematics
Divisions: 04 Department of Mathematics > Numerical Analysis and Scientific Computing
Date Deposited: 19 Mar 2024 10:13
Last Modified: 21 Jun 2024 07:11
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20376
PPN: 519251628
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