Obstructive Sleep Apnea and Its Treatment in Aging: Effects on Alzheimer’s disease Biomarkers, Cognition, Brain Structure and Neurophysiology
Here we review the impact of obstructive sleep apnea (OSA) on biomarkers of Alzheimer's disease (AD) pathogenesis, neuroanatomy, cognition and neurophysiology, and present the research investigating the effects of continuous positive airway pressure (CPAP) therapy. OSA is associated with an inc...
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Published in | Neurobiology of disease Vol. 145; p. 105054 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.11.2020
Elsevier |
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Abstract | Here we review the impact of obstructive sleep apnea (OSA) on biomarkers of Alzheimer's disease (AD) pathogenesis, neuroanatomy, cognition and neurophysiology, and present the research investigating the effects of continuous positive airway pressure (CPAP) therapy. OSA is associated with an increase in AD markers amyloid-β and tau measured in cerebrospinal fluid (CSF), by Positron Emission Tomography (PET) and in blood serum. There is some evidence suggesting CPAP therapy normalizes AD biomarkers in CSF but since mechanisms for amyloid-β and tau production/clearance in humans are not completely understood, these findings remain preliminary. Deficits in the cognitive domains of attention, vigilance, memory and executive functioning are observed in OSA patients with the magnitude of impairment appearing stronger in younger people from clinical settings than in older community samples. Cognition improves with varying degrees after CPAP use, with the greatest effect seen for attention in middle age adults with more severe OSA and sleepiness. Paradigms in which encoding and retrieval of information are separated by periods of sleep with or without OSA have been done only rarely, but perhaps offer a better chance to understand cognitive effects of OSA than isolated daytime testing. In cognitively normal individuals, changes in EEG microstructure during sleep, particularly slow oscillations and spindles, are associated with biomarkers of AD, and measures of cognition and memory. Similar changes in EEG activity are reported in AD and OSA, such as “EEG slowing” during wake and REM sleep, and a degradation of NREM EEG microstructure. There is evidence that CPAP therapy partially reverses these changes but large longitudinal studies demonstrating this are lacking. A diagnostic definition of OSA relying solely on the Apnea Hypopnea Index (AHI) does not assist in understanding the high degree of inter-individual variation in daytime impairments related to OSA or response to CPAP therapy. We conclude by discussing conceptual challenges to a clinical trial of OSA treatment for AD prevention, including inclusion criteria for age, OSA severity, and associated symptoms, the need for a potentially long trial, defining relevant primary outcomes, and which treatments to target to optimize treatment adherence. |
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AbstractList | Here we review the impact of obstructive sleep apnea (OSA) on biomarkers of Alzheimer's disease (AD) pathogenesis, neuroanatomy, cognition and neurophysiology, and present the research investigating the effects of continuous positive airway pressure (CPAP) therapy. OSA is associated with an increase in AD markers amyloid-β and tau measured in cerebrospinal fluid (CSF), by Positron Emission Tomography (PET) and in blood serum. There is some evidence suggesting CPAP therapy normalizes AD biomarkers in CSF but since mechanisms for amyloid-β and tau production/clearance in humans are not completely understood, these findings remain preliminary. Deficits in the cognitive domains of attention, vigilance, memory and executive functioning are observed in OSA patients with the magnitude of impairment appearing stronger in younger people from clinical settings than in older community samples. Cognition improves with varying degrees after CPAP use, with the greatest effect seen for attention in middle age adults with more severe OSA and sleepiness. Paradigms in which encoding and retrieval of information are separated by periods of sleep with or without OSA have been done only rarely, but perhaps offer a better chance to understand cognitive effects of OSA than isolated daytime testing. In cognitively normal individuals, changes in EEG microstructure during sleep, particularly slow oscillations and spindles, are associated with biomarkers of AD, and measures of cognition and memory. Similar changes in EEG activity are reported in AD and OSA, such as “EEG slowing” during wake and REM sleep, and a degradation of NREM EEG microstructure. There is evidence that CPAP therapy partially reverses these changes but large longitudinal studies demonstrating this are lacking. A diagnostic definition of OSA relying solely on the Apnea Hypopnea Index (AHI) does not assist in understanding the high degree of inter-individual variation in daytime impairments related to OSA or response to CPAP therapy. We conclude by discussing conceptual challenges to a clinical trial of OSA treatment for AD prevention, including inclusion criteria for age, OSA severity, and associated symptoms, the need for a potentially long trial, defining relevant primary outcomes, and which treatments to target to optimize treatment adherence. |
ArticleNumber | 105054 |
Author | Parekh, Ankit Mullins, Anna E. Kam, Korey Bubu, Omonigho M. Osorio, Ricardo S. Varga, Andrew W. |
AuthorAffiliation | b Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, 10016, USA a Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA |
AuthorAffiliation_xml | – name: a Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA – name: b Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, 10016, USA |
Author_xml | – sequence: 1 givenname: Anna E. surname: Mullins fullname: Mullins, Anna E. organization: Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 2 givenname: Korey surname: Kam fullname: Kam, Korey organization: Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 3 givenname: Ankit surname: Parekh fullname: Parekh, Ankit organization: Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – sequence: 4 givenname: Omonigho M. surname: Bubu fullname: Bubu, Omonigho M. organization: Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY 10016, USA – sequence: 5 givenname: Ricardo S. surname: Osorio fullname: Osorio, Ricardo S. organization: Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY 10016, USA – sequence: 6 givenname: Andrew W. orcidid: 0000-0002-3668-3371 surname: Varga fullname: Varga, Andrew W. email: andrew.varga@mssm.edu organization: Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32860945$$D View this record in MEDLINE/PubMed |
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Keywords | ADNI AHI CPAP AHI3A PPG PiB MSLT PVT SDB PCO2 EDS MMSE P-tau CSF KC ApoE T-tau OSA SWA ISF qEEG AD ESS PSG SpO2 AHI4 ERPs mPFC MCI OSAS PET |
Language | English |
License | This is an open access article under the CC BY-NC-ND license. Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved. |
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MergedId | FETCHMERGED-LOGICAL-c517t-3999d2049d181db0de16203ed65ee25a2d53c99515c1ab7553ba799b28971c5b3 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-2 Equal contributions |
ORCID | 0000-0002-3668-3371 |
OpenAccessLink | https://www.sciencedirect.com/science/article/pii/S0969996120303296 |
PMID | 32860945 |
PQID | 2438679125 |
PQPubID | 23479 |
PageCount | 1 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_ab2aaea8e3b347799b756dddb290795c pubmedcentral_primary_oai_pubmedcentral_nih_gov_7572873 proquest_miscellaneous_2438679125 crossref_primary_10_1016_j_nbd_2020_105054 pubmed_primary_32860945 elsevier_sciencedirect_doi_10_1016_j_nbd_2020_105054 |
PublicationCentury | 2000 |
PublicationDate | 2020-11-01 |
PublicationDateYYYYMMDD | 2020-11-01 |
PublicationDate_xml | – month: 11 year: 2020 text: 2020-11-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States |
PublicationTitle | Neurobiology of disease |
PublicationTitleAlternate | Neurobiol Dis |
PublicationYear | 2020 |
Publisher | Elsevier Inc Elsevier |
Publisher_xml | – name: Elsevier Inc – name: Elsevier |
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Snippet | Here we review the impact of obstructive sleep apnea (OSA) on biomarkers of Alzheimer's disease (AD) pathogenesis, neuroanatomy, cognition and neurophysiology,... Here we review the impact of obstructive sleep apnea (OSA) on biomarkers of Alzheimer’s disease (AD) pathogenesis, neuroanatomy, cognition and neurophysiology,... |
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Title | Obstructive Sleep Apnea and Its Treatment in Aging: Effects on Alzheimer’s disease Biomarkers, Cognition, Brain Structure and Neurophysiology |
URI | https://dx.doi.org/10.1016/j.nbd.2020.105054 https://www.ncbi.nlm.nih.gov/pubmed/32860945 https://search.proquest.com/docview/2438679125 https://pubmed.ncbi.nlm.nih.gov/PMC7572873 https://doaj.org/article/ab2aaea8e3b347799b756dddb290795c |
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