Cell-free RNA signatures predict Alzheimer's disease

Alejandro Cisterna-García; Aleksandra Beric; Muhammad Ali; Jose Adrian Pardo; Hsiang Han Chen; Maria Victoria Fernandez; Joanne Norton; Jen Gentsch; Kristy Bergmann; John Budde; Joel S. Perlmutter; John C. Morris; Carlos Cruchaga; Juan A. Botia; Laura Ibanez

doi:10.1016/j.isci.2023.108534

Cell-free RNA signatures predict Alzheimer's disease

Alejandro Cisterna-García, Aleksandra Beric, Muhammad Ali, Jose Adrian Pardo, Hsiang Han Chen, Maria Victoria Fernandez, Joanne Norton, Jen Gentsch, Kristy Bergmann, John Budde, Joel S. Perlmutter, John C. Morris, Carlos Cruchaga, Juan A. Botia, Laura Ibanez

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English
Article number	108534
Journal	iScience
Volume	26
Issue number	12
DOIs	https://doi.org/10.1016/j.isci.2023.108534
State	Published - Dec 15 2023

Keywords

Biochemistry
Clinical finding
Disease
Molecular biology

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10.1016/j.isci.2023.108534

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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",

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T1 - Cell-free RNA signatures predict Alzheimer's disease

AU - Cisterna-García, Alejandro

AU - Beric, Aleksandra

AU - Ali, Muhammad

AU - Pardo, Jose Adrian

AU - Chen, Hsiang Han

AU - Fernandez, Maria Victoria

AU - Norton, Joanne

AU - Gentsch, Jen

AU - Bergmann, Kristy

AU - Budde, John

AU - Perlmutter, Joel S.

AU - Morris, John C.

AU - Cruchaga, Carlos

AU - Botia, Juan A.

AU - Ibanez, Laura

PY - 2023/12/15

Y1 - 2023/12/15

N2 - 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.

AB - 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.

KW - Biochemistry

KW - Clinical finding

KW - Disease

KW - Molecular biology

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DO - 10.1016/j.isci.2023.108534

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SN - 2589-0042

VL - 26

JO - iScience

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M1 - 108534

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Cell-free RNA signatures predict Alzheimer's disease

Abstract

Keywords

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