2019
DOI: 10.1101/725317
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In vitro and in silico modeling of cellular and matrix-related changes during the early phase of osteoarthritis

Abstract: Objective: Understanding the pathophysiological processes of osteoarthritis (OA) require adequate model systems. Although different in vitro or in vivo models have been described, further comprehensive approaches are needed to study specific parts of the disease. This study aimed to combine in vitro and in silico modeling to describe cellular and matrix-related changes during the early phase of OA. We developed an in vitro OA model based on scaffoldfree cartilage-like constructs (SFCCs), which was mathematical… Show more

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Cited by 1 publication
(3 citation statements)
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“…The applied technique patented by Ponomarev et al . 23 exploits the capacity of MSC to undergo mesenchymal condensation on a macroscale to produce macro-tissues in a highly reproducible standardized manner without causing necrosis formation in the center 24 . The advantage of such macroscale approaches is the physiologically relevant size, geometry, low cell number and density compared to the matrix and mechanical properties when compared to e.g.…”
Section: Discussionmentioning
confidence: 99%
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“…The applied technique patented by Ponomarev et al . 23 exploits the capacity of MSC to undergo mesenchymal condensation on a macroscale to produce macro-tissues in a highly reproducible standardized manner without causing necrosis formation in the center 24 . The advantage of such macroscale approaches is the physiologically relevant size, geometry, low cell number and density compared to the matrix and mechanical properties when compared to e.g.…”
Section: Discussionmentioning
confidence: 99%
“…The advantage of such macroscale approaches is the physiologically relevant size, geometry, low cell number and density compared to the matrix and mechanical properties when compared to e.g. spheroids 24 . However, the generation and examination of these constructs are time-consuming and require high numbers of cells limiting the throughput of the system but enabling the performance of several analyses from one model.…”
Section: Discussionmentioning
confidence: 99%
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