O'Bryant Sid E, Ferman Tanis J, Zhang Fan, Hall James, Pedraza Otto, Wszolek Zbigniew K, Como Tori, Julovich David, Mattevada Sravan, Johnson Leigh A, Edwards Melissa, Hall James, Graff-Radford Neill R
Institute for Translational Research, Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA.
Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA.
Alzheimers Dement (Amst). 2019 Mar 15;11:270-276. doi: 10.1016/j.dadm.2019.01.006. eCollection 2019 Dec.
We sought to determine if a proteomic profile approach developed to detect Alzheimer's disease would distinguish patients with Lewy body disease from normal controls, and if it would distinguish dementia with Lewy bodies (DLB) from Parkinson's disease (PD).
Stored plasma samples were obtained from 145 patients (DLB n = 57, PD without dementia n = 32, normal controls n = 56) enrolled from patients seen in the Behavioral Neurology or Movement Disorders clinics at the Mayo Clinic, Florida. Proteomic assays were conducted and analyzed as per our previously published protocols.
In the first step, the proteomic profile distinguished the DLB-PD group from controls with a diagnostic accuracy of 0.97, sensitivity of 0.91, and specificity of 0.86. In the second step, the proteomic profile distinguished the DLB from PD groups with a diagnostic accuracy of 0.92, sensitivity of 0.94, and specificity of 0.88.
These data provide evidence of the potential utility of a multitiered blood-based proteomic screening method for detecting DLB and distinguishing DLB from PD.
我们试图确定一种用于检测阿尔茨海默病的蛋白质组学分析方法能否区分路易体病患者与正常对照,以及能否区分路易体痴呆(DLB)与帕金森病(PD)。
从佛罗里达州梅奥诊所行为神经病学或运动障碍诊所就诊的患者中招募了145名患者(DLB患者57例,无痴呆的PD患者32例,正常对照56例),获取其储存的血浆样本。按照我们之前发表的方案进行蛋白质组学检测和分析。
第一步,蛋白质组学分析将DLB-PD组与对照组区分开来,诊断准确性为0.97,敏感性为0.91,特异性为0.86。第二步,蛋白质组学分析将DLB组与PD组区分开来,诊断准确性为0.92,敏感性为0.94,特异性为0.88。
这些数据为基于血液的多层蛋白质组学筛查方法检测DLB以及区分DLB与PD的潜在效用提供了证据。