@article{4f58932707614741bf1610204db747b4,
title = "Cell-free RNA signatures predict Alzheimer's disease",
abstract = "There is a need for affordable, scalable, and specific blood-based biomarkers for Alzheimer's disease that can be applied to a population level. We have developed and validated disease-specific cell-free transcriptomic blood-based biomarkers composed by a scalable number of transcripts that capture AD pathobiology even in the presymptomatic stages of the disease. Accuracies are in the range of the current CSF and plasma biomarkers, and specificities are high against other neurodegenerative diseases.",
keywords = "Biochemistry, Clinical finding, Disease, Molecular biology",
author = "Alejandro Cisterna-Garc{\'i}a and Aleksandra Beric and Muhammad Ali and Pardo, \{Jose Adrian\} and Chen, \{Hsiang Han\} and Fernandez, \{Maria Victoria\} and Joanne Norton and Jen Gentsch and Kristy Bergmann and John Budde and Perlmutter, \{Joel S.\} and Morris, \{John C.\} and Carlos Cruchaga and Botia, \{Juan A.\} and Laura Ibanez",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
month = dec,
day = "15",
doi = "10.1016/j.isci.2023.108534",
language = "English",
volume = "26",
journal = "iScience",
issn = "2589-0042",
publisher = "Elsevier Inc.",
number = "12",
}