呼吸器疾患における質量スペクトロメトリー呼吸検査の研究ホットスポットと領域
Yunanji Zhou1, Xinyi Qiu2, Ting Yuan2
1Qi Huang Chinese Medicine Academy, Jiangxi University of Chinese Medicine, Nanchang, China.
Frontiers in medicine
|August 29, 2025
まとめ
マススペクトロメトリー (MS) ベースの呼吸分析は,呼吸器疾患の診断のために揮発性有機化合物 (VOC) を特定します. 研究では肺がんやCOVID-19などの重要な領域で 顕著な成長が見られていて 臨床的応用の可能性を強調しています
科学分野:
- 生物医学工学
- 分析化学
- 呼吸器医学
背景:
- マススペクトロメトリー (MS) ベースの呼吸分析は,呼吸器疾患の非侵襲的な診断ツールです.
- 呼吸中の揮発性有機化合物 (VOC) を特定することで,疾患状態の洞察が得られます.
- 図書館計測分析は,研究動向と影響の包括的な概要を提供します.
研究 の 目的:
- 世界的な研究トレンド,影響力のある貢献者,そしてMSベースの呼吸分析のテーマ上のホットスポットをマッピングする.
- この分野における主要な研究分野とコラボレーションを特定する.
- 呼吸学における将来の研究優先事項のためのロードマップを提供すること.
主な方法:
- 2003年から2024年までの467本の出版物の文献分析
- 出版成果,機関間の協力,引用ネットワークの分析
- テーマのホットスポットと研究トレンドを共同引用分析で特定する.
主要な成果:
- MSベースの呼吸分析研究で年間11. 03%の持続的な成長率.
- 米国,イギリス,オランダ,中国が主要な貢献国です.
- 重要な研究分野には,COPD,喘息,肺がん,COVID-19,リアルタイムMS,機械学習のVOCプロファイリングが含まれています.
- 精密医療とマルチオミックスの統合への移行が観察されました.
結論:
- MSベースの呼吸学は 呼吸器診断の変革の可能性を示しています
- 標準化と再現性の課題は 解決する必要がある.
- 将来の研究は,学際的な協力,バイオマーカーの検証,臨床翻訳のためのAI統合に焦点を当てるべきです.
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