薬剤メタボノミクスフェノタイプ化とパーソナライズド薬物治療
T Andrew Clayton1, John C Lindon, Olivier Cloarec
1Biological Chemistry, Biomedical Sciences Division, Faculty of Natural Sciences, Sir Alexander Fleming Building, Imperial College London, South Kensington, London SW7 2AZ, UK.
Nature
|April 21, 2006
まとめ
パーソナライズされた薬物療法は,遺伝学と並行して環境要因を考慮することによって改善することができます. 新しい薬理メタボノミクスのアプローチは,個々の薬物反応を予測するためにメタボライトプロファイリングを使用し,より安全で効果的な治療のための約束を示しています.
科学分野:
- 薬理学 薬理学とは
- メタボロミクスとは
- パーソナライズド医療
背景:
- パーソナライズされた薬物治療には,特定の薬物/用量の組み合わせに対する個々の反応を予測することが必要です.
- 薬剤代謝に対する環境の影響を無視しているため,薬剤遺伝学には限界があります.
- 個別間での薬物反応の変動は,代謝現象型によって著しく影響を受け,遺伝学および環境要因の影響を受けます.
研究 の 目的:
- 薬物治療をパーソナライズするための新しい"薬物メタボノミクス"アプローチを導入し,検証する.
- 投与前メタボライトプロファイリングと化学測定を用いて個々の薬物反応を予測する能力を実証する.
- このアプローチの遺伝的および環境的影響に対する感受性を評価する.
主な方法:
- 対象者の投与前メタボリートプロファイルの利用.
- メタボライトデータを分析し,薬物反応を予測するために化学測定モデルを適用しました.
- パラセタモール (アセトアミノフェン) をネズミに投与した原理実証研究を行った.
主要な成果:
- 尿路薬代謝産物プロフィール成分の投与前予測が成功裏に実証されました.
- 投与前の尿組成とパラセタモール誘発性肝損傷の重度との関連が確立されました.
- 薬理メタボノミクスアプローチの遺伝的および環境的要因に対する感受性を示した.
結論:
- 薬理メタボノミクスのアプローチは,薬物療法をパーソナライズするための新しい戦略を提供します.
- この方法は,個々の薬物反応を予測するために,化学測定と代謝プロファイリングを統合しています.
- 薬剤の有効性を向上させ,患者全体の要因を考慮することによって,副作用を軽減する可能性があります.
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