使用ACD-A抗凝血剂采集血液生物标志物可区分脑淀粉样蛋白状态和认知诊断。

Zachary D Green, Paul J Kueck, Casey S John, Jeffrey M Burns, Jill K Morris
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引用次数: 0

摘要

背景:开发易于收集、处理和储存的生物标志物是当前阿尔茨海默病(AD)研究的主要目标,也是人们对血浆生物标志物日益增长的兴趣的基础。具有这些特性的生物标志物将改善诊断并允许更好地监测治疗干预措施。然而,不同研究之间的血液采集策略历来不同。我们检测了使用柠檬酸葡萄糖(ACD)收集的各种超灵敏血浆生物标志物预测认知功能未受损个体大脑淀粉样蛋白状态的能力。然后,我们检查了这些生物标志物独立于淀粉样蛋白状态预测认知障碍的能力。方法:采用横断研究设计,我们使用Quanterix Simoa®HD-X平台测量β淀粉样蛋白42/40比率、pTau-181、神经丝光和胶质纤维酸性蛋白。为了评估这些生物标志物在确定脑淀粉样蛋白状态方面的鉴别准确性,我们使用了140名认知功能未受损参与者的血浆和18F-AV45 PET脑淀粉样蛋白神经成像数据。我们利用42名认知受损老年人的数据进一步检查了他们区分认知状态的能力。据我们所知,这项研究是第一次用柠檬酸葡萄糖(ACD)收集的血浆来检验这些特异性测试,以及与淀粉样蛋白PET状态的关系。结果:血浆AB42/40在区分两种脑淀粉样蛋白组的cut point为0.0706时AUC最高(0.833,95% C.I. 0.767-0.899)(敏感性76%,特异性78.5%)。血浆NFL切点为20.58pg/mL时,识别认知障碍的AUC最高(0.908,95% CI 0.851 ~ 0.966)(敏感性84.8%,特异性89.9%)。年龄和载脂蛋白e4状态的增加并没有提高这些生物标志物的鉴别准确性。结论:我们的研究结果表明,Aβ42/40比值可用于区分临床评定的脑淀粉样蛋白升高状态,而NFL可用于区分认知功能障碍状态。这些发现强化了越来越多的证据,证明这些生物标志物具有普遍的实用性,并将其应用于非传统抗凝血剂中收集的血浆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blood Biomarkers Discriminate Cerebral Amyloid Status and Cognitive Diagnosis when Collected with ACD-A Anticoagulant.

Background: The development of biomarkers that are easy to collect, process, and store is a major goal of research on current Alzheimer's Disease (AD) and underlies the growing interest in plasma biomarkers. Biomarkers with these qualities will improve diagnosis and allow for better monitoring of therapeutic interventions. However, blood collection strategies have historically differed between studies. We examined the ability of various ultrasensitive plasma biomarkers to predict cerebral amyloid status in cognitively unimpaired individuals when collected using acid citrate dextrose (ACD). We then examined the ability of these biomarkers to predict cognitive impairment independent of amyloid status.

Methods: Using a cross-sectional study design, we measured amyloid beta 42/40 ratio, pTau-181, neurofilament-light, and glial fibrillary acidic protein using the Quanterix Simoa® HD-X platform. To evaluate the discriminative accuracy of these biomarkers in determining cerebral amyloid status, we used both banked plasma and 18F-AV45 PET cerebral amyloid neuroimaging data from 140 cognitively unimpaired participants. We further examined their ability to discriminate cognitive status by leveraging data from 42 cognitively impaired older adults. This study is the first, as per our knowledge, to examine these specific tests using plasma collected using acid citrate dextrose (ACD), as well as the relationship with amyloid PET status.

Results: Plasma AB42/40 had the highest AUC (0.833, 95% C.I. 0.767-0.899) at a cut-point of 0.0706 for discriminating between the two cerebral amyloid groups (sensitivity 76%, specificity 78.5%). Plasma NFL at a cut-point of 20.58pg/mL had the highest AUC (0.908, 95% CI 0.851- 0.966) for discriminating cognitive impairment (sensitivity 84.8%, specificity 89.9%). The addition of age and apolipoprotein e4 status did not improve the discriminative accuracy of these biomarkers.

Conclusion: Our results suggest that the Aβ42/40 ratio is useful in discriminating clinician-rated elevated cerebral amyloid status and that NFL is useful for discriminating cognitive impairment status. These findings reinforce the growing body of evidence regarding the general utility of these biomarkers and extend their utility to plasma collected in a non-traditional anticoagulant.

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