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Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

臨床症状

Bradley J Dixon¹, John L Woodard¹, Lynn M Bekris²

¹Wayne State University, Detroit, MI, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association

|December 26, 2025

まとめ

この要約は機械生成です。

神経心理学的検査のパフォーマンス、特に遅延再生は、脳脊髄液（CSF）タウおよびアミロイド比などのアルツハイマー病バイオマーカーの変化を予測できます。これらの発見は、早期アルツハイマー病リスクスクリーニングの可能性を示唆しています。

キーワード:

アルツハイマー病バイオマーカー神経心理学的検査遅延再生脳脊髄液

さらに関連する動画

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

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Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from Sézary Syndrome Patients for Transcriptomic Profiling

Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from Sézary Syndrome Patients for Transcriptomic Profiling

Published on: October 14, 2021

関連する実験動画

Last Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

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Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from Sézary Syndrome Patients for Transcriptomic Profiling

Isolating Human Peripheral Blood Mononuclear Cells and CD4+ T cells from Sézary Syndrome Patients for Transcriptomic Profiling

Published on: October 14, 2021

科学分野:

神経科学; バイオマーカー研究; 認知老化

背景:

神経心理学的検査のパフォーマンスは、アルツハイマー病（AD）への進行の予測因子である。; 神経心理学的パフォーマンスとADバイオマーカーを関連付けた研究はほとんどない。; AD病理の早期検出には、高感度の認知測定が必要である。

研究の目的:

神経心理学的検査のパフォーマンスの変化とアルツハイマー病バイオマーカーとの関係を調査すること。; 認知機能の変化がバイオマーカーの変化を予測するか、またはその逆を決定すること。

主な方法:

137人の健康な高齢者がベースラインの神経心理学的検査と脳脊髄液（CSF）採取を受けた。; 参加者は2年後に再評価された。; 双変量潜在変化スコアモデルを用いて、Rey Auditory Verbal Learning Test（RAVLT）の遅延再生とCSF t-tau/Aβ1-42およびp-tau181/Aβ1-42比との経時的な関係を分析した。

主要な成果:

ベースラインの遅延再生スコアは、CSF t-tau/Aβ1-42比の2年間の変化を負の予測因子とした。; ベースラインのCSF p-tau181/Aβ1-42比は、遅延再生スコアの2年間の変化を負の予測因子とした。; これらの関連性は、認知機能とADバイオマーカー間の双方向の予測関係を示唆している。

結論:

神経心理学的検査のパフォーマンス、特に遅延再生は、ADバイオマーカーの変化に敏感である。; 特定のADバイオマーカーは、認知機能の変化を予測することができる。; 遅延再生課題は、ADのリスクが高い個人における早期介入研究のための実用的なスクリーニングツールとして役立つ可能性がある。