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默认模式网络tau预测未来的非典型早期阿尔茨海默病的临床下降
Yuta Katsumi1,2,3, Inola A Howe1, Ryan Eckbo1
1Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Brain : a journal of neurology
|October 16, 2024
概括
默认模式网络中的TAU PET成像预测了早期阿尔茨海默病的临床衰退. 这种成像生物标志物有助于对非典型的AD患者进行个性化的预后和治疗计划.
科学领域:
- 神经成像是一种神经成像.
- 神经学 神经学
- 生物标志物 生物标志物
背景情况:
- 早期识别患有阿尔茨海默病 (AD) 患者的风险迅速下降对于明智的决策至关重要.
- 虽然TAU PET在典型的AD中具有预后作用,但它在非典型的AD表型中的作用不明.
- 非典型的AD患者在默认模式网络 (DMN) 中显示tau积累,表明其作为常见预后生物标志物的潜力.
研究的目的:
- 调查基线TAU PET信号与非典型早期AD患者随后临床衰退之间的关系.
- 确定DMN中的tau负担是否是不同非典型AD表型中临床进展的可靠预测指标.
主要方法:
- 这项研究包括48名患有轻度认知障碍或轻度痴呆症的患者,这些患者患有非典型的表型 (后皮层缩,logopenic变体初级渐进性失声症,年轻发病的amnestic AD).
- 所有参与者都接受了基线MRI,TAU PET和粉样蛋白PET扫描.
- 用临床痴呆症评分总和 (CDR-SB) 分数的年化变化来评估长度临床下降,平均随访时间为14.55个月.
主要成果:
- 非典型的早期AD患者在CDR-SB得分中每年显著增加 (1.18 ± 1.25分/年).
- 在DMN的基线tau是临床衰退的最强预测因素 (R2 = 0.30).
- 基于临床障碍,人口统计,其他网络中的tau,皮质缩和DMN粉样蛋白负担的模型,DMN tau的表现优于模型.
结论:
- 默认模式网络tau积累是非典型早期AD临床衰退的重要预测因素.
- 这种TAU PET测量提供了一个个性化的预后工具,用于预测疾病进展.
- 研究结果支持使用DMNPET用于非典型AD的个性化预后,监测和治疗计划.
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