人間の老化バイオマーカーの概念
Anastasia A Kobelyatskaya1, Aleksey A Moskalev2
1Institute of Longevity, Rehabilitation and Preventive Medicine Clinic, Petrovsky Russian National Research Center of Surgery, Moscow, 119435, Russia.
Biochemistry. Biokhimiia
|August 31, 2025
まとめ
老化バイオマーカーは 老化率と病気のリスクを評価し 介入の指針となります このレビューは,パーソナライズされた健康の洞察のためのバイオマーカー基準,分類,および高度な"老化時計"をカバーしています.
科学分野:
- ゲロントロジーと長寿の研究
- バイオマーカーの発見と検証
- 計算生物学とバイオインフォマティクス
背景:
- 高齢化バイオマーカーは 高齢化ペース,年齢関連の疾患,介入の有効性を評価するのに不可欠です.
- 主要な基準には,年齢関連,死亡率の予測,早期の病理診断,最小限の侵入性が含まれます.
- 既存の分類は臨床,機能,分子,オミック,デジタルマーカーを網羅しています.
研究 の 目的:
- 老化バイオマーカーの重要な基準を検証する.
- 老化マーカーの包括的な分類と老化時計の進化を提示する.
- 説明可能なAIの役割とバイオマーカーの実用的な臨床応用について議論する.
主な方法:
- 老化バイオマーカーと老化時計に関する既存の文献のレビュー
- バイオマーカーの検証基準の分析
- 老化研究における人工知能の応用探求
- 原因老化モデルのメンデルのランダム化に関する議論.
主要な成果:
- 臨床型,機能型,分子型,オミック型,デジタル型を含む老化バイオマーカーの詳細な分類が提示されています.
- エピジェネティックモデルから因果系まで,老化時計の進化が概説されています.
- 説明可能な人工知能 (XAI) は,複雑な老化アルゴリズムを解釈する役割が強調されています.
- 臨床試験における実用的な応用と個別化された老化評価について論じています.
結論:
- 高齢化バイオマーカーは パーソナライズされた健康と長寿の研究の 重要なツールです
- 高度な老化時計と 説明可能な人工知能は 老化過程を理解し 介入するための 新たな道を開きます
- 総合的なバイオマーカーパネルと パーソナライズされたアプローチの開発は 将来の老化研究と臨床実践の鍵です
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