BioSpyder Technologies, Inc., Carlsbad, CA, USA.
Neurology Center of Southern California, Carlsbad, CA, USA.
J Alzheimers Dis. 2024;101(3):813-822. doi: 10.3233/JAD-240174.
There is no molecular test for Alzheimer's disease (AD) using self-collected samples, nor is there a definitive molecular test for AD. We demonstrate an accurate and potentially definitive TempO-Seq® gene expression test for AD using fingerstick blood spotted and dried on filter paper, a sample that can be collected in any doctor's office or can be self-collected.
Demonstrate the feasibility of developing an accurate test for the classification of persons with AD from a minimally invasive sample of fingerstick blood spotted on filter paper which can be obtained in any doctor's office or self-collected to address health disparities.
Fingerstick blood samples from patients clinically diagnosed with AD, Parkinson's disease (PD), or asymptomatic controls were spotted onto filter paper in the doctor's office, dried, and shipped to BioSpyder for testing. Three independent patient cohorts were used for training/retraining and testing/retesting AD and PD classification algorithms.
After initially identifying a 770 gene classification signature, a minimum set of 68 genes was identified providing classification test areas under the ROC curve of 0.9 for classifying patients as having AD, and 0.94 for classifying patients as having PD.
These data demonstrate the potential to develop a screening and/or definitive, minimally invasive, molecular diagnostic test for AD and PD using dried fingerstick blood spot samples that are collected in a doctor's office or clinic, or self-collected, and thus, can address health disparities. Whether the test can classify patients with AD earlier then possible with cognitive testing remains to be determined.
目前尚无使用自采样本的阿尔茨海默病(AD)分子检测方法,也没有明确的 AD 分子检测方法。我们通过使用指尖血斑和滤纸干燥的方法,证明了 TempO-Seq® 基因表达检测方法对 AD 的准确性和潜在确定性,这种方法可以在任何医生的办公室或自行采集样本进行采集。
证明从手指血斑的微创样本中开发 AD 分类的准确测试的可行性,这种样本可以在任何医生的办公室或自行采集,以解决健康差异问题。
在医生办公室中,将来自临床诊断为 AD、帕金森病(PD)或无症状对照者的指尖血样斑点在滤纸上,干燥并运送到 BioSpyder 进行检测。三个独立的患者队列用于 AD 和 PD 分类算法的培训/再培训和测试/再测试。
最初确定了 770 个基因分类特征后,确定了一组最小的 68 个基因,提供了分类测试区域,ROC 曲线下面积为 0.9,用于将患者分类为 AD,为 0.94,用于将患者分类为 PD。
这些数据表明,有可能使用在医生办公室或诊所采集的干燥指尖血斑样本,或自行采集的样本,开发用于 AD 和 PD 的筛查和/或明确的微创分子诊断测试,从而解决健康差异问题。该测试是否能够比认知测试更早地对 AD 患者进行分类还有待确定。