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Molecular Gene Expression Testing to Identify Alzheimer's Disease with High Accuracy from Fingerstick Blood.

Authors :
Seligmann, Bruce
Camiolo, Salvatore
Hernandez, Monica
Yeakley, Joanne M.
Sahagian, Gregory
McComb, Joel
Source :
Journal of Alzheimer's Disease. 2024, Vol. 101 Issue 3, p813-822. 10p.
Publication Year :
2024

Abstract

Background: 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. Objective: 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. Methods: 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. Results: 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. Conclusions: 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13872877
Volume :
101
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Alzheimer's Disease
Publication Type :
Academic Journal
Accession number :
180007750
Full Text :
https://doi.org/10.3233/JAD-240174