通过识别三种蛋白质的3D形状变化, 一项新的血液检测可以发现早期阿尔茨海默病, 这使得更早和更准确的诊断成为可能. A new blood test detects early Alzheimer’s by identifying 3D shape changes in three proteins, enabling earlier and more accurate diagnosis.

一种新的血液检测可以通过分析三维结构变化来发现早期阿尔茨海默病的3个关键蛋白质C1QA,聚素和非脂类蛋白B而不是它们的水平. A new blood test detects early Alzheimer’s by analyzing 3D structural changes in three key proteins—C1QA, clusterin, and apolipoprotein B—rather than their levels. 通过机器学习, 研究人员发现这些与蛋白质折叠失调相关的结构性变化能够准确地区分正常认知能力,轻度认知障碍和阿尔茨海默病. Using machine learning, researchers found these structural shifts, linked to disrupted protein folding, accurately distinguished between normal cognition, mild cognitive impairment, and Alzheimer’s. 这种比传统方法更精确的方法可以提前诊断和改善监测, 提供了改进治疗和临床试验的希望. The approach, more precise than traditional methods, may enable earlier diagnosis and better monitoring, offering promise for improved treatment and clinical trials.