A novel mechanobiological model can predict how physiologically relevant dynamic loading causes proteoglycan loss in mechanically injured articular cartilage.
新規のメカノバイオロジカルモデルは、生理学的に関連する動的負荷が機械的に損傷した関節軟骨におけるプロテオグリカン喪失を予測できる (機械翻訳の邦題)
記録の確認項目
- 研究デザイン
- その他の原著論文
- 対象
- 動物
- 出版年
- 2018
- 出典
- doi.org
- 抄録の表示
- 表示あり
- 出版状態
- 有効な記録
- 状態確認日
- 2026/08/17
- 収集日
- 2026/08/04
- 鮮度
- 確認期限内
- 確認段階
- 自動処理
- 記録状態
- 公開
日本語要約(機械生成)
本研究は、外傷性負荷後の軟骨変性のメカニズム解明を目的とした。ウシ膝軟骨ディスクに損傷圧縮を加え、その後12日間の生理的動的圧縮を行い、経時的に固定電荷密度(FCD)を測定した。さらに、偏差ひずみ、最大せん断ひずみ、流体速度に基づく新規の軟骨変性モデルを開発し、FCD喪失を予測した。その結果、流体速度駆動のアルゴリズムでは病変周囲で均一なFCD喪失が予測され、実験結果とよく一致した。一方、ひずみ駆動のメカニズムでは亀裂周辺で不連続な喪失が示された。本モデルは軟骨病変周囲のFCD減少予測やリハビリテーションプロトコルの提案に応用可能である。
この要約は公開抄録のみを根拠にAIが機械的に生成したものです。正確な内容は原文を確認してください。
抄録
Cartilage provides low-friction properties and plays an essential role in diarthrodial joints. A hydrated ground substance composed mainly of proteoglycans (PGs) and a fibrillar collagen network are the main constituents of cartilage. Unfortunately, traumatic joint loading can destroy this complex structure and produce lesions in tissue, leading later to changes in tissue composition and, ultimately, to post-traumatic osteoarthritis (PTOA). Consequently, the fixed charge density (FCD) of PGs may decrease near the lesion. However, the underlying mechanisms leading to these tissue changes are unknown. Here, knee cartilage disks from bovine calves were injuriously compressed, followed by a physiologically relevant dynamic compression for twelve days. FCD content at different follow-up time points was assessed using digital densitometry. A novel cartilage degeneration model was developed by implementing deviatoric and maximum shear strain, as well as fluid velocity controlled algorithms to simulate the FCD loss as a function of time. Predicted loss of FCD was quite uniform around the cartilage lesions when the degeneration algorithm was driven by the fluid velocity, while the deviatoric and shear strain driven mechanisms exhibited slightly discontinuous FCD loss around cracks. Our degeneration algorithm predictions fitted well with the FCD content measured from the experiments. The developed model could subsequently be applied for prediction of FCD depletion around different cartilage lesions and for suggesting optimal rehabilitation protocols.
MeSH
DOI 10.1038/s41598-018-33759-3
PMID 30348953
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