Growing evidence suggests that exosomes, a class of membrane vesicles that can be secreted by most cell types to mediate intercellular communication, play important roles in the initiation and or progression of Alzheimer disease (AD). Specially, it has been demonstrated that cell-to-cell transfer of amyloid beta (A?), tau, and other proteins critically involved in AD pathogenesis, as well as the prion-like propagation of AD pathology within the central nervous system (CNS) is mediated at least in part via exosomes. Additionally, exosomes carrying unique, disease-specific, and functionally important cargo are detectable in vivo in blood, cerebrospinal fluid (CSF) and other body fluids. More recently, we and others have demonstrated not only that exosomes may cross the blood-brain barrier (BBB), though the transportation mechanism remains unclear, but also that blood-based but CNS-specific exosomal molecules can be a valuable source of biomarkers for neurodegenerative diseases, including AD. In this study, we will first use our advanced proteomics techniques to screen for exosome surface markers specific to AD-related neuronal subpopulations or brain regions to identify more CNS- and AD- specific exosome markers, and in parallel adapt our nanoparticle sorting and single-molecule quantification technologies to enable high-purity isolation of CNS-derived exosomes in plasma and high-precision quantification of proteins in such exosomes to address several major challenges in the current field. Using the currently known (e.g., L1CAM) and more CNS- and AD- specific, CNS-derived exosomal surface markers, as well as the existing and further developed exosome isolation and quantification technologies, we will then compare AD- related biomarkers in L1CAM-containing exosomes or those from AD-related neuronal subpopulations in blood plasma from human patients, focusing on the performance of classic AD proteins and known exosomal candidates, specifically, A?, tau, ?-synuclein, and their various isoforms; additional novel targets may be studied when necessary. For the verified AD-related exosomal proteins, we will further examine their longitudinal changes in animal models and explore the mechanisms by which they are transported from the brain to blood (e.g., crossing BBB) in cellular and animal models and potential ways to alter them as novel future AD treatment targets. The proposed experiments will likely establish the foundation leading to an inexpensive and widely available test to aid in AD diagnosis and/or disease tracking. Additionally, the proposed set of studies is an important initial step toward elucidating a novel potential clearance pathway for potential toxic CNS protein species and ultimately it may provide critical opportunities for therapeutically addressing the pathology associated with neurodegeneration in AD.

Public Health Relevance

Alzheimer disease (AD) affects millions of Americans and many more worldwide and is a significant source of disability and a major burden to society. This study aims to investigate the transportation or clearance of potential toxic proteins from the brain to blood via small membrane vesicles (exosomes) and the potential usage of such proteins in blood plasma as AD biomarkers. The study will likely establish the foundation leading to an inexpensive and clinically routine test that improves AD diagnosis accuracy and/or enhances disease progression monitoring, and ultimately may provide critical opportunities for therapeutically addressing the pathology associated with neurodegeneration in AD.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
High Priority, Short Term Project Award (R56)
Project #
1R56AG057417-01
Application #
9564296
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Yang, Austin Jyan-Yu
Project Start
2017-09-15
Project End
2019-02-28
Budget Start
2017-09-15
Budget End
2019-02-28
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Washington
Department
Pathology
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
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Cilento, Eugene M; Jin, Lorrain; Stewart, Tessandra et al. (2018) Mass Spectrometry: A Platform for Biomarker Discovery and Validation for Alzheimer's and Parkinson's Diseases. J Neurochem :