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  Sleep as a novel biomarker and a promising therapeutic target for cerebral small vessel disease: A review focusing on Alzheimer’s Disease and the blood-brain barrier

Semyachkina-Glushkovskaya, O., Postnov, D., Penzel, T., Kurths, J. (2020): Sleep as a novel biomarker and a promising therapeutic target for cerebral small vessel disease: A review focusing on Alzheimer’s Disease and the blood-brain barrier. - International Journal of Molecular Sciences, 21, 17, 6293.
https://doi.org/10.3390/ijms21176293

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Semyachkina-Glushkovskaya, Oxana1, Author
Postnov, Dmitry1, Author
Penzel, Thomas1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Cerebral small vessel disease (CSVD) is a leading cause of cognitive decline in elderly people and development of Alzheimer’s disease (AD). Blood–brain barrier (BBB) leakage is a key pathophysiological mechanism of amyloidal CSVD. Sleep plays a crucial role in keeping health of the central nervous system and in resistance to CSVD. The deficit of sleep contributes to accumulation of metabolites and toxins such as beta-amyloid in the brain and can lead to BBB disruption. Currently, sleep is considered as an important informative platform for diagnosis and therapy of AD. However, there are no effective methods for extracting of diagnostic information from sleep characteristics. In this review, we show strong evidence that slow wave activity (SWA) (0–0.5 Hz) during deep sleep reflects glymphatic pathology, the BBB leakage and memory deficit in AD. We also discuss that diagnostic and therapeutic targeting of SWA in AD might lead to be a novel era in effective therapy of AD. Moreover, we demonstrate that SWA can be pioneering non-invasive and bed–side technology for express diagnosis of the BBB permeability. Finally, we review the novel data about the methods of detection and enhancement of SWA that can be biomarker and a promising therapy of amyloidal CSVD and CSVD associated with the BBB disorders. View Full-Text

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 Dates: 2020-08-312020
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/ijms21176293
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Research topic keyword: Health
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: International Journal of Molecular Sciences
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 21 (17) Sequence Number: 6293 Start / End Page: - Identifier: Other: Molecular Diversity Preservation International (MDPI)
Other: 1422-0067
Other: 1661-6596
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/international-journal-of-molecular-sciences
Publisher: MDPI