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跑步大鼠胫骨干皮质骨厚度变化的预测

Prediction of Cortical Bone Thickness Variations in the Tibial Diaphysis of Running Rats.

作者信息

George Daniel, Pallu Stéphane, Bourzac Céline, Wazzani Rkia, Allena Rachele, Rémond Yves, Portier Hugues

机构信息

ICUBE Laboratory, CNRS, University of Strasbourg, 2 Rue Boussingault, 67000 Strasbourg, France.

B3OA Laboratory, CNRS, INSERM, University of Paris, 10 Avenue de Verdun, 75010 Paris, France.

出版信息

Life (Basel). 2022 Feb 3;12(2):233. doi: 10.3390/life12020233.

DOI:10.3390/life12020233
PMID:35207520
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8878138/
Abstract

A cell-mechanobiological model is used for the prediction of bone density variation in rat tibiae under medium and high mechanical loads. The proposed theoretical-numerical model has only four parameters that need to be identified experimentally. It was used on three groups of male Wistar rats under sedentary, moderate intermittent and continuous running scenarios over an eight week period. The theoretical numerical model was able to predict an increase in bone density under intermittent running (medium intensity mechanical load) and a decrease of bone density under continuous running (higher intensity mechanical load). The numerical predictions were well correlated with the experimental observations of cortical bone thickness variations, and the experimental results of cell activity enabled us to validate the numerical results predictions. The proposed model shows a good capacity to predict bone density variation through medium and high mechanical loads. The mechanobiological balance between osteoblast and osteoclast activity seems to be validated and a foreseen prediction of bone density is made available.

摘要

一种细胞力学生物学模型被用于预测大鼠胫骨在中等和高机械负荷下的骨密度变化。所提出的理论数值模型仅具有四个需要通过实验确定的参数。该模型应用于三组雄性Wistar大鼠,分别处于久坐、适度间歇跑步和持续跑步状态,为期八周。理论数值模型能够预测间歇跑步(中等强度机械负荷)下骨密度增加,以及持续跑步(更高强度机械负荷)下骨密度降低。数值预测与皮质骨厚度变化的实验观察结果高度相关,细胞活性的实验结果使我们能够验证数值结果预测。所提出的模型显示出通过中等和高机械负荷预测骨密度变化的良好能力。成骨细胞和破骨细胞活性之间的力学生物学平衡似乎得到了验证,并提供了骨密度的预测结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/ec676295afc4/life-12-00233-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/d5333524a557/life-12-00233-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/156aeef82a48/life-12-00233-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/8bb94ed1d116/life-12-00233-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/2c022a7a2c58/life-12-00233-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/ec676295afc4/life-12-00233-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/d5333524a557/life-12-00233-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/eede61b76459/life-12-00233-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/7cbae894cf30/life-12-00233-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/fd47ae0ba9c0/life-12-00233-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/156aeef82a48/life-12-00233-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/8bb94ed1d116/life-12-00233-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/2c022a7a2c58/life-12-00233-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cb7/8878138/ec676295afc4/life-12-00233-g016.jpg

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