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阿尔茨海默氏症成像联盟

Savannah Doster1,2, Ashley N Price1,2, Jordan P Sergio1,2

  • 1University of Rhode Island, Kingston, RI, USA.

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概括
此摘要是机器生成的。

步行测试,如定时升级和移动 (TUG),可以通过与血生物标志物相关联来帮助识别阿尔茨海默病 (AD) 风险. 在没有认知障碍的个体中,微妙的移动性变化可能是早期AD病理的信号.

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科学领域:

  • 神经学 神经学
  • 老年学是一门学科.
  • 生物标志物研究 生物标志物研究

背景情况:

  • 在阿尔茨海默病 (AD) 和相关痴呆症中,步行障碍很常见,增加了跌倒风险和死亡率.
  • 定时启动和移动 (TUG) 测试评估了移动性和双重任务性能,其双重任务版本 (TUG-DT) 评估了双重任务成本 (DTC).
  • 血生物标志物如pTau217,pTau181和神经纤维光链 (NfL) 有助于评估认知正常 (CU) 和轻度认知障碍 (MCI) 个体的AD风险.

研究的目的:

  • 研究CU和MCI患者的TUG性能和血生物标志物之间的关系.
  • 为了确定TUG和TUG-DT的步态参数是否可以预测AD风险.
  • 探索血生物标志物的实用性与步态分析结合用于早期AD检测.

主要方法:

  • 参与者包括CU低风险 (n=75),CU高风险 (n=87) 和CI (n=32) 的老年人 (55-80岁).
  • 用临床痴呆症评分表和蒙特利尔认知评估来评估认知状态.
  • 测量了血pTau217,pTau181,NfL水平,参与者接受了TUG和TUG-DT测试. 统计分析包括ANOVA,ANCOVA,物流回归和通用添加模型 (GAM).

主要成果:

  • CU高风险和MCI组显示了类似的TUG步数,两者都明显高于CU低风险组.
  • 血pTau181和NfL水平相互作用,预测步行表现,特别是在CU高风险组.
  • TUG测试在预测血pTau217水平方面表现出高特异性,区分非风险CU个体.

结论:

  • TUG测试可以预测血pTau217水平,有助于识别不面临AD风险的CU个体.
  • pTau181和NfL之间的相互作用预测了CU高风险个体的TUG/TUG-DT表现,这表明步态变化可能表明早期的AD病理.
  • 降低CU低风险个体的步数可能意味着临床前AD与微妙的移动性缺陷,支持TUG在AD风险评估中的作用.