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估计帕金森病中生物标志物变化的序列

Yaqin Xiang¹, XiuRong Huang¹, Qian Xu¹

¹Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Parkinsonism & related disorders

|November 29, 2023

概括

这项研究揭示了帕金森病 (PD) 中最早的生物标志物变化. 左膜异常在其他标志物之前,使用数据驱动模型提供了对PD进展的见解.

科学领域:

神经科学是一个神经科学.
生物标志物研究生物标志物研究
数据科学数据科学数据科学

背景情况:

帕金森病 (PD) 的诊断和进展监测依赖于确定可靠的生物标志物.
了解生物标志物变化的时间序列对于早期检测和治疗开发至关重要.

研究的目的:

通过一种新的数据驱动方法,估计帕金森病 (PD) 中常见生物标志物变化的序列.
建立基于生物标志物变化的PD疾病进展时间表.

主要方法:

在374名PD患者和169名健康对照 (HC) 的数据上使用了基于事件的歧视模型 (DEBM).
分析的生物标志物包括左侧和右侧膜和尾膜的条状结合比 (SBR),脑脊液 (CSF) 的α-synuclein和血清神经丝轻链 (NfL).
与临床PD症状相关的估计疾病阶段.

主要成果:

左门SBR被确定为最早的异常生物标志物,其次是右门,脑脊液α-synuclein,右尾状SBR,左尾状SBR和血清NfL.
在区分PD和HC时,DEBM实现了高精度 (AUC为0.98).
估计的疾病阶段与PD患者的运动症状,自主功能障碍和焦虑有显著的相关性.

结论:

使用DEBM确定了PD中常见生物标志物变化的序列.
为帕金森病的疾病进展时间表提供了数据驱动的证据.
通过生物标志物分析建立了一个可靠的模型来跟踪PD进展.

关键词:

生物标志物生物标志物基于事件的歧视性模型.疾病进展疾病进展.帕金森病是帕金森病的一种.

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