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^*

^*此作品的通信作者

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

8 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
文章編號	108534
期刊	iScience
卷	26
發行號	12
DOIs	https://doi.org/10.1016/j.isci.2023.108534
出版狀態	已發佈 - 2023 12月 15
對外發佈	是

ASJC Scopus subject areas

多學科

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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.",

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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",

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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

UR - https://www.scopus.com/pages/publications/85178154387

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DO - 10.1016/j.isci.2023.108534

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VL - 26

JO - iScience

JF - iScience

IS - 12

M1 - 108534

ER -

Cell-free RNA signatures predict Alzheimer's disease

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