自己の共同体とは,自己の共同体である
1Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110-1093, USA. buchman@msnotes.wustl.edu
Nature
|November 15, 2002
まとめ
良い健康は,相互接続された生物学的ネットワークのダイナミックな安定性に依存しています. 将来の医学は,これらのネットワークを最適の健康成果のために修正する治療法を含むかもしれません.
科学分野:
- 生理学 生理学とは
- コンピュータ生物学 コンピュータ生物学
- システム生物学 システム生物学
背景:
- 良好な健康は,分子,細胞,臓器システムにおけるダイナミックな安定によって特徴付けられます.
- 身体は,介入なしでも,病気に対する内在の補償および補正メカニズムを持っています.
研究 の 目的:
- 生物系における動的安定性の根本的な原理を探求する.
- 健康維持におけるフィードバックメカニズムとネットワーク特性の役割を調査する.
- 医療診断と治療における将来の方向性を予測する.
主な方法:
- 生物学的な調節を理解するために,生理学の原理を活用する.
- 相互接続した生物学的ネットワークをモデル化するために,計算生物学のアプローチを適用する.
- フィードバックメカニズムと自発的なネットワークの性質を分析する.
主要な成果:
- 健全なダイナミックな安定性は,特定のフィードバックループとネットワーク特性から生まれます.
- 相互接続された生物学的ネットワークは,回復力と自己訂正能力を発揮します.
- 現在の医療慣行では,ネットワークの完全性を評価し始めています.
結論:
- 将来の医療介入は,単に問題を診断するだけでなく",ネットワークを正す"ことに焦点を当てているかもしれません.
- 生物学的ネットワークの理解と操作は,新たな治療戦略の潜在力を秘めています.
- システム生物学とコンピューティングアプローチの統合は,パーソナライズド・メディシンを前進させるでしょう.
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