A Restless Night Makes for a Rising Tide of Amyloid

Bryce A. Mander; Joseph R. Winer; Matthew P. Walker

Disclosures

Brain. 2017;140(8):2066-2069. 

This scientific commentary refers to 'Slow wave sleep disruption increases cerebrospinal fluid amyloid-β levels' by Ju et al., (doi:10.1093/brain/awx148).

As many people reading this commentary will know all too well, our sleep often becomes worse as we age. This is true for both the quantity of sleep we can generate, and the quality of that sleep (Mander et al., 2017). For patients with mild cognitive impairment (MCI) and Alzheimer's disease, the severity of sleep disruption is markedly greater (Mander et al., 2016; Musiek and Holtzman, 2016). Until recently, sleep disruption was thought of as a symptom of neurodegenerative disease. Now, however, an increasing number of studies indicate that sleep disruption may be a causal and instigating factor linked to the pathophysiology of Alzheimer's disease. Deficient and poor quality sleep, along with several sleep disorders, predict an increased risk of cognitive decline and the conversion to MCI and Alzheimer's disease. Sleep impairments precede the onset of such clinical outcomes by years if not decades. Conversely, treating sleep disorders such as sleep apnoea can delay the onset of cognitive decline by almost a decade (Mander et al., 2016; Musiek and Holtzman, 2016). In this issue of Brain, Ju and co-workers add to the evidence linking poor sleep to Alzheimer's disease by revealing an association between the disruption of non-REM slow wave sleep and CSF levels of amyloid (Ju et al., 2017).

Mechanistically, the relationship between sleep and Alzheimer's disease pathology appears to be bidirectional, as evinced by animal models. Mice engineered to overexpress amyloid-β suffer a selective reduction of, and fragmentation in, non-REM (NREM) sleep (Roh et al., 2012). Conversely, restricting sleep in rodents results in significantly higher amyloid-β plaque and tau pathological burden, in part because of wake-related synaptic activity that increases the accumulation of metabolic byproducts, including amyloid-β and tau (Kang et al., 2009; Rothman et al., 2013). The brain's glymphatic system exhibits higher clearance efficiency during NREM sleep relative to wakefulness. This includes the preferential NREM sleep evacuation of amyloid-β, representing a sleep-dependent mechanism that helps avert amyloid-β accumulation (Xie et al., 2013). Therefore, sleep offers a proactive state that reduces extracellular amyloid, while wakefulness represents an active state in which these Alzheimer's disease-associated proteins increase (Figure 1C).

Figure 1.

Schematic of experimental design, results and implications. (A) Experimental protocol. Participants underwent two sessions, each starting with 5–14 days of wristwatch-recorded sleep actigraphy, followed by one night of polysomnography (PSG) recording, with CSF collection the following morning. In one session, non-rapid eye movement (NREM) slow wave sleep (SWS) was impaired across the PSG recording night using auditory tones delivered via headphones whenever slow waves were detected in the PSG recordings (orange arrows). In the other session, the night of PSG sleep involved a sham control condition without auditory tones. (B) Left: Schematic of the experimental impact of NREM SWS suppression relative to the sham control condition on CSF concentrations of amyloid-β (Aβ, orange) and tau (yellow). Right: Associations between 6-day habitual sleep efficiency and CSF amyloid-β and tau levels. (C) Left: Theoretical schema of the interacting, reciprocal impact (vicious cycle) between NREM SWS, wake-related and Alzheimer's disease (AD) pathology. Wake-related metabolic activity leads to increased production of amyloid-β and tau, while greater Alzheimer pathology accumulation disrupts NREM SWS, leading to ever increasing amounts of wakefulness. In contrast, during SWS, clearance of Alzheimer's disease pathology occurs via the glymphatic pathway, and metabolic production of such pathology is low. Right: Longitudinal dynamics of the ensuing predictive model, wherein ever decreasing sleep quality (time) and electrophysiological sleep quality in midlife leads to greater cumulative pathological burden and increased risk of Alzheimer's disease.

Despite causal manipulations in animal models, existing data linking sleep and Alzheimer's disease pathology in humans have been largely correlational in nature. In this issue of Brain, Ju et al. directly address this knowledge gap. The study used a powerful experimental approach that combines selective NREM slow wave sleep (SWS) disruption and CSF markers of amyloid-β and tau, as well as markers of sleep/wake regulation (hypocretin-1/orexin A) and inflammation (YKL-40). In a within-subject, counterbalanced design, Ju and colleagues directly suppressed NREM SWS using auditory tones, then compared next-day Alzheimer's disease-related CSF measures to those after a sham (control) night of sleep (Figure 1A). The core experimental question was simple: does the suppression of NREM SWS trigger an increase in CSF markers of Alzheimer's disease pathology?

Across the experimental night of sleep, the auditory tone perturbation successfully reduced NREM slow wave activity (SWA); an electrophysiological measure of NREM SWS quality. Consistent with the hypothesis, there was a rise in CSF levels of amyloid-β the following day (Figure 1B). However, this increase in amyloid-β only became significant within a subgroup of experimental participants demonstrating the greatest reduction in NREM SWA. This is perhaps not overly surprising considering the small sample size. Also, as predicted, these two experimental measures were significantly correlated, such that the magnitude of successful NREM SWA reduction predicted the next-day increase in CSF amyloid-β.

The acute NREM SWA reduction did not trigger changes in levels of tau, hypocretin-1, total CSF protein or inflammatory markers. However, Ju et al. identified an additional intriguing set of relationships—relationships that are perhaps even more ecologically worrisome. Wristwatch actigraphy measurement of poor habitual sleep quality across the experimental week, termed sleep efficiency, predicted higher CSF levels of tau, as well as amyloid-β levels (Figure 1B). The study therefore identified two temporally different patterns of relevance—an acute relationship, wherein nightly NREM SWA quality predicted next-day amyloid-β levels (though not tau), and a chronic association, such that sleep efficiency across days predicted levels of tau and also amyloid-β. That is, at least two different measures of sleep, across two different time periods, predicted two distinct profiles of Alzheimer's disease-related pathological consequence.

More generally, the findings suggest that impairments in NREM SWS, together with a deterioration in the overall integrity and efficiency of sleep, represent specific (though likely interdependent) factors capable of contributing to Alzheimer's disease progression (Figure 1C). Considering that such age-related changes in sleep quantity and quality typically begin early in midlife (Mander et al., 2017), they may even be considered prodromal features of, and instigating triggers underlying, the Alzheimer's disease pathological cascade.

Like all preliminary studies, the work by Ju at al. has limitations. As noted, the overall main effect of SWA disruption increasing CSF amyloid-β was not significant when all subjects were considered, but only for a subset of participants. In addition, the auditory tone method used to target SWS disruption leaves open alternative interpretations. The control (sham) condition involved no tones, and thus no awakenings. Furthermore, the auditory tone method did not impact SWS in isolation. REM sleep was also reduced by 30%, and lighter stages of NREM sleep were more abundant. The observed experimental effects could therefore be driven by the stress induced by the experimental paradigm, changes in other sleep stages, or the number of arousals, rather than the specific loss of SWS itself. Indeed, sleep fragmentation, SWS, and REM sleep have all been associated with measures of amyloid-β and tau burden (Mander et al., 2016).

That said, the correlation between amyloid-β and the extent of NREM SWA disruption caused by the auditory tones suggest that these alternative possibilities may be less likely. Nevertheless, future studies should employ a yoked auditory control condition to overcome this issue. In such yoked control conditions, auditory tones could be played irrespective of sleep stage, or during only lighter NREM sleep or REM sleep.

Limitations aside, new event horizons emerge because of this work—a testament to its seminal nature. For example, what physiological properties of NREM SWS are critical to the observed causal relationship with overnight changes in CSF amyloid-β? Do the number, morphological shape, frequency, or qualitative size of slow waves bathing the sleeping brain predict overnight clearance or production of soluble amyloid? Is it the degree of synchrony of these waves across the brain that is important, or even the quality of slow waves produced in specific brain regions most sensitive to amyloid-β and/or tau (Mander et al., 2015)? How should we think about these effects in the framework of sleep as a passive state that simply lacks the presence of detrimental wakefulness, relative to a proactive view of sleep, one in which NREM SWS operates to reduce features of Alzheimer's disease pathology? At present, evidence favours both being true, rather than a mutually exclusive circumstance (Mander et al., 2016). Discovering answers to these questions is not only important for our mechanistic understanding of disease pathways, but will likely reveal novel targets for therapeutic interventions for those at risk of developing Alzheimer's disease.

Longitudinal studies guided by the report of Ju et al. will now help determine the clinical relevance of sustained increases in CSF amyloid-β as a result of sleep disruption and deficiency, significantly increasing the risk for developing MCI and Alzheimer's disease. In other words, is sleep a biomarker capable of forecasting the extent and speed of accumulation of amyloid-β plaques and tau-related neurofibrillary tangles, and thus contribute to Alzheimer's disease risk. These questions will best be addressed by including neuroimaging measures of Alzheimer's disease pathology in combination with CSF measures, together with measures of sleep actigraphy, sleep polysomnography, and cognition across midlife and older age.

Perhaps even more than the biological implications, the study by Ju et al. should trouble us all when set against the known backdrop of plummeting sleep amounts throughout all industrialized nations. Combined with past work, their study emphasizes a causal relationship between disrupted sleep, amyloid-β and tau pathology in middle-aged humans. That is, poor sleep quality, whether through sleep neglect, age or due to medical illness, has the potential to contribute to the Alzheimer's disease pathological cascade even in healthy, cognitively intact adults (Figure 1C). If we are looking to extend not only our lifespan, but also our health span, then prioritizing sleep throughout adulthood seems more sage than ever before.

processing....