A multi-site research team from Wake Forest University School of Medicine, the University of California, Irvine and University of Wisconsin – Madison, has discovered that brain inflammation may link Alzheimer’s disease risk with sleep disturbance, which may aid early detection and prevention efforts by identifying novel treatment targets at preclinical stages.
Brain inflammation, sleep disturbance and disrupted brain waves have all been associated with Alzheimer’s disease, but the interactions among them have not been investigated until now. The study, published online today in the journal Sleep, examined whether inflammation had any effect on specific brain waves called fast sleep spindles, which have been shown to promote long-term memory retention.
“These findings show the effects of brain inflammation on sleep spindles and memory occur through its effects on neuronal activity and Alzheimer’s disease-related proteins and are apparent even before pathological positivity,” said Ruth Benca, M.D., Ph.D., professor and chair of psychiatry and behavioral medicine at Wake Forest University School of Medicine and the study’s senior and co-corresponding author. “This offers a promising therapeutic target to stop cognitive decline associated with aging and Alzheimer’s.”
Chronic activation of the brain’s immune cells, called “glial cells,” increases with age, elevating production of beta-amyloid and tau proteins, the hallmarks of Alzheimer’s disease. Independently, sleep disturbance has been linked to Alzheimer’s disease pathology in the brain, and studies have also indicated an association between sleep disturbance and inflammation. Selectively disrupted fast sleep spindles have been identified in normal aging as well as preclinical stages of Alzheimer’s disease, but it has not been clear what causes this and what it means for memory impairment for older at-risk adults.
For the study, 58 cognitively unimpaired adults in their 50s and 60s were examined at the University of Wisconsin – Madison. All had a parental history of Alzheimer’s or a genetic risk factor for it, but none of them had beta-amyloid plaques and neurofibrillary tau tangles. Sleep was recorded overnight using high-density electroencephalography to map brain wave expression during sleep, and overnight memory retention was assessed. Participants also underwent a lumbar puncture so that cerebrospinal fluid biomarkers of central nervous system inflammation, beta-amyloid and tau proteins, and neuronal integrity could be examined.
Statistical tests were used to evaluate whether the effect of age on fast sleep spindles was mediated by Alzheimer’s-related proteins. Researchers found that activation of two types of glial cells – microglia and astrocytes, which trigger brain inflammation – were associated with disrupted expression of fast sleep spindles. The fact that these relationships were identified in people without accumulation of beta-amyloid plaques and neurofibrillary tangles indicates that sleep deficits and inflammation might be among the earliest warning signs of Alzheimer’s disease.
“Our findings indicate that age-related increases in brain inflammation have a downstream effect on Alzheimer’s disease-related tau proteins and neuronal synaptic integrity. This results in deficits in the brain’s capacity to generate fast sleep spindles, which contribute to age-related memory impairment in older adults. Discovering these mechanisms is an important step in identifying at-risk individuals as early as possible and developing targeted interventions,” said Bryce Mander, Ph.D., UCI assistant professor of psychiatry & human behavior and the study’s lead and co-corresponding author.
“We don’t yet know whether anyone in this study will develop Alzheimer’s disease dementia, but one of the reasons that our studies enroll participants in midlife is so that we can potentially detect problems before people develop disease symptoms,” said Barbara Bendlin, Ph.D., professor of medicine and co-author at the University of Wisconsin-Madison.
The team included health professionals and academics from the U.S., England, Germany, Sweden and Switzerland.
This work was supported by the National Institute on Aging under grants R56 AG052698, R01 AG027161, R01 AG021155, ADRC P50 AG033514, R01 AG037639 and K01 AG068353; the National Institutes of Health’s Ruth L. Kirschstein National Research Service Award F31 AG048732; the Swedish Research Council; the European Research Council; Swedish State Support for Clinical Research; the Swedish Alzheimer’s Foundation; and the UK Dementia Research Institute at University College London.
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