Kate E Sprecher1, Rebecca L Koscik2, Cynthia M Carlsson2, Henrik Zetterberg2, Kaj Blennow2, Ozioma C Okonkwo2, Mark A Sager2, Sanjay Asthana2, Sterling C Johnson2, Ruth M Benca2, Barbara B Bendlin2. 1. From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine. ksprecher@wisc.edu. 2. From the Department of Medicine and Neuroscience Training Program (K.E.S.) and Wisconsin Alzheimer's Disease Research Center (C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.), University of Wisconsin-Madison; Wisconsin Alzheimer's Institute (R.L.K., C.M.C., O.C.O., M.A.S., S.A., S.C.J., B.B.B.); Geriatric Research Education and Clinical Center (C.M.C., O.C.O., S.A., S.C.J., B.B.B.), Wm. S. Middleton Veterans Hospital, Madison, WI; Institute of Neuroscience and Physiology (H.Z., K.B.), University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z., K.B.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Molecular Neuroscience (H.Z.), UCL Institute of Neurology, Queen Square, London, UK; and Department of Psychiatry and Human Behavior (R.M.B.), University of California, Irvine.
Abstract
OBJECTIVE: To determine the relationship between sleep quality and CSF markers of Alzheimer disease (AD) pathology in late midlife. METHODS: We investigated the relationship between sleep quality and CSF AD biomarkers in a cohort enriched for parental history of sporadic AD, the Wisconsin Registry for Alzheimer's Prevention. A total of 101 participants (mean age 62.9 ± 6.2 years, 65.3% female) completed sleep assessments and CSF collection and were cognitively normal. Sleep quality was measured with the Medical Outcomes Study Sleep Scale. CSF was assayed for biomarkers of amyloid metabolism and plaques (β-amyloid 42 [Aβ42]), tau pathology (phosphorylated tau [p-tau] 181), neuronal/axonal degeneration (total tau [t-tau], neurofilament light [NFL]), neuroinflammation/astroglial activation (monocyte chemoattractant protein-1 [MCP-1], chitinase-3-like protein 1 [YKL-40]), and synaptic dysfunction/degeneration (neurogranin). To adjust for individual differences in total amyloid production, Aβ42 was expressed relative to Aβ40. To assess cumulative pathology, CSF biomarkers were expressed in ratio to Aβ42. Relationships among sleep scores and CSF biomarkers were assessed with multiple regression, controlling for age, sex, time between sleep and CSF measurements, and CSF assay batch. RESULTS: Worse subjective sleep quality, more sleep problems, and daytime somnolence were associated with greater AD pathology, indicated by lower CSF Aβ42/Aβ40 and higher t-tau/Aβ42, p-tau/Aβ42, MCP-1/Aβ42, and YKL-40/Aβ42. There were no significant associations between sleep and NFL or neurogranin. CONCLUSIONS: Self-report of poor sleep was associated with greater AD-related pathology in cognitively healthy adults at risk for AD. Effective strategies exist for improving sleep; therefore sleep health may be a tractable target for early intervention to attenuate AD pathogenesis.
OBJECTIVE: To determine the relationship between sleep quality and CSF markers of Alzheimer disease (AD) pathology in late midlife. METHODS: We investigated the relationship between sleep quality and CSF AD biomarkers in a cohort enriched for parental history of sporadic AD, the Wisconsin Registry for Alzheimer's Prevention. A total of 101 participants (mean age 62.9 ± 6.2 years, 65.3% female) completed sleep assessments and CSF collection and were cognitively normal. Sleep quality was measured with the Medical Outcomes Study Sleep Scale. CSF was assayed for biomarkers of amyloid metabolism and plaques (β-amyloid 42 [Aβ42]), tau pathology (phosphorylated tau [p-tau] 181), neuronal/axonal degeneration (total tau [t-tau], neurofilament light [NFL]), neuroinflammation/astroglial activation (monocyte chemoattractant protein-1 [MCP-1], chitinase-3-like protein 1 [YKL-40]), and synaptic dysfunction/degeneration (neurogranin). To adjust for individual differences in total amyloid production, Aβ42 was expressed relative to Aβ40. To assess cumulative pathology, CSF biomarkers were expressed in ratio to Aβ42. Relationships among sleep scores and CSF biomarkers were assessed with multiple regression, controlling for age, sex, time between sleep and CSF measurements, and CSF assay batch. RESULTS: Worse subjective sleep quality, more sleep problems, and daytime somnolence were associated with greater AD pathology, indicated by lower CSF Aβ42/Aβ40 and higher t-tau/Aβ42, p-tau/Aβ42, MCP-1/Aβ42, and YKL-40/Aβ42. There were no significant associations between sleep and NFL or neurogranin. CONCLUSIONS: Self-report of poor sleep was associated with greater AD-related pathology in cognitively healthy adults at risk for AD. Effective strategies exist for improving sleep; therefore sleep health may be a tractable target for early intervention to attenuate AD pathogenesis.
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