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.
Oxana V Semyachkina-GlushkovskayaDmitry E PostnovThomas PenzelJürgen KurthsPublished in: International journal of molecular sciences (2020)
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.
Keyphrases
- blood brain barrier
- cognitive decline
- cerebral ischemia
- sleep quality
- physical activity
- mild cognitive impairment
- public health
- healthcare
- subarachnoid hemorrhage
- ms ms
- health information
- electronic health record
- white matter
- bone marrow
- mesenchymal stem cells
- machine learning
- big data
- risk assessment
- resting state
- human health
- deep learning
- cerebrospinal fluid
- functional connectivity
- artificial intelligence
- smoking cessation