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タイトル: In silico experiments of bone remodeling explore metabolic diseases and their drug treatment
著者: Kameo, Y.
Miya, Y.
Hayashi, M.
Nakashima, T.
Adachi, T.
著者名の別形: 亀尾, 佳貴
宮, 雄貴
林, 幹人
中島, 友紀
安達, 泰治
発行日: 4-Mar-2020
出版者: American Association for the Advancement of Science (AAAS)
誌名: Science Advances
巻: 6
号: 10
論文番号: eaax0938
抄録: Bone structure and function are maintained by well-regulated bone metabolism and remodeling. Although the underlying molecular and cellular mechanisms are now being understood, physiological and pathological states of bone are still difficult to predict due to the complexity of intercellular signaling. We have now developed a novel in silico experimental platform, V-Bone, to integratively explore bone remodeling by linking complex microscopic molecular/cellular interactions to macroscopic tissue/organ adaptations. Mechano-biochemical couplings modeled in V-Bone relate bone adaptation to mechanical loading and reproduce metabolic bone diseases such as osteoporosis and osteopetrosis. V-Bone also enables in silico perturbation on a specific signaling molecule to observe bone metabolic dynamics over time. We also demonstrate that this platform provides a powerful way to predict in silico therapeutic effects of drugs against metabolic bone diseases. We anticipate that these in silico experiments will substantially accelerate research into bone metabolism and remodeling.
記述: 骨再構築(リモデリング)のシミュレーション実験基盤を開発 --骨疾患と薬物治療の効果の予測を目指して--. 京都大学プレスリリース. 2020-03-10.
著作権等: © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
URI: http://hdl.handle.net/2433/245925
DOI(出版社版): 10.1126/sciadv.aax0938
PubMed ID: 32181336
関連リンク: https://www.kyoto-u.ac.jp/ja/research-news/2020-03-10
出現コレクション:学術雑誌掲載論文等

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