Petersen Melissa, Ferman Tanis J, Zhang Fan, Pedraza Otto, Wszolek Zbigniew K, Ross Owen A, Como Tori, Julovich David, Johnson Leigh A, Hall James, Graff-Radford Neill R, O'Bryant Sid E
Department of Psychology, Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA.
Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA.
J Alzheimers Dis Parkinsonism. 2023;13(6). Epub 2023 Dec 4.
We sought to cross-validate our previously published blood test for detecting Dementia with Lewy Bodies (DLB).
Plasma samples were analyzed on 428 individuals (DLB n=89, Parkinson's Disease (PD) without dementia n=126, Alzheimer's Disease (AD) n=108, Normal Controls (NC) n=105).
The proteomic profile discriminated DLB and PD from NC with an AUC (Area Under the Curve) of 0.96 with demographics of age, sex and education. The proteomic profile also distinguished DLB from the PD group with an AUC of 0.92 with demographics. It further distinguished DLB, PD and AD from NC with an AUC of 0.95 as well as DLB from AD with an AUC of 0.92 with demographics.
This data provides additional evidence of the potential utility of a multi-tiered blood-based proteomic screening method for detecting DLB and distinguishing DLB from NC, PD and AD that can be implemented in primary care settings to aid in the referral process.
我们试图对我们之前发表的用于检测路易体痴呆（DLB）的血液检测方法进行交叉验证。
对428名个体的血浆样本进行分析（DLB组89例，无痴呆的帕金森病（PD）组126例，阿尔茨海默病（AD）组108例，正常对照组（NC）105例）。
蛋白质组学图谱在纳入年龄、性别和教育程度等人口统计学因素后，区分DLB和PD与NC的曲线下面积（AUC）为0.96。蛋白质组学图谱在纳入人口统计学因素后，区分DLB与PD组的AUC为0.92。在纳入人口统计学因素后，它区分DLB、PD和AD与NC的AUC为0.95，区分DLB与AD的AUC为0.92。
该数据为基于血液的多层蛋白质组学筛查方法在检测DLB以及区分DLB与NC、PD和AD方面的潜在效用提供了更多证据，该方法可在初级保健机构中实施，以辅助转诊过程。
