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Angerbauer R, Stefani A, Zitser J, Ibrahim A, Anselmi V, Süzgün MA, Egger K, Brandauer E, Högl B, Cesari M. Temporal progression of sleep electroencephalography features in isolated rapid eye movement sleep behaviour disorder. J Sleep Res 2025; 34:e14351. [PMID: 39322419 DOI: 10.1111/jsr.14351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 08/16/2024] [Accepted: 09/04/2024] [Indexed: 09/27/2024]
Abstract
Previous studies indicated that patients with isolated rapid eye movement (REM) sleep behaviour disorder (iRBD) exhibit alterations in spectral electroencephalographic (EEG), spindle, and slow-wave features. As it is currently unknown how these EEG features evolve over time, this study aimed to evaluate their temporal progression in patients with iRBD in comparison to controls. We included 23 patients with iRBD and 23 controls. Two polysomnographies (baseline and follow-up) were recorded with a mean (standard deviation) interval of 4.0 (2.5) years and were automatically analysed for sleep stages, spectral bandpower, spindles, and slow waves. We used linear models to evaluate differences at each time point, and linear mixed-effects models to analyse differences in temporal progression between the groups. At baseline, patients with iRBD presented EEG slowing both in REM (expressed as significantly reduced α-bandpower and increased δ-bandpower in frontal channels) and in non-REM (NREM) sleep (significantly increased slow-to-fast ratio in central channels). These differences vanished at follow-up. In both REM and NREM sleep, γ-bandpower was increased at follow-up in patients with iRBD, resulting in significantly different temporal progression between groups (in occipital channels during REM sleep and frontal channels during NREM sleep). Relative power of sleep spindles was significantly higher at baseline in patients with iRBD in frontal channels, but we observed a significant reduction over time in central channels. Finally, slow waves were significantly shorter in patients with iRBD at both time-points. Our results underscore the need of considering longitudinal data when analysing sleep EEG features in patients with iRBD. The observed temporal changes as markers of progression of neurodegeneration require further investigations.
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Affiliation(s)
- Raphael Angerbauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ambra Stefani
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Jennifer Zitser
- Sleep Center and Movement Disorders Unit, Neurology Department, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Abubaker Ibrahim
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Victoria Anselmi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Merve Aktan Süzgün
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Kristin Egger
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Elisabeth Brandauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Birgit Högl
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Matteo Cesari
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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Khandayataray P, Murthy MK. Exploring the nexus: Sleep disorders, circadian dysregulation, and Alzheimer's disease. Neuroscience 2025; 574:21-41. [PMID: 40189132 DOI: 10.1016/j.neuroscience.2025.03.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2025] [Revised: 03/10/2025] [Accepted: 03/29/2025] [Indexed: 04/11/2025]
Abstract
We reviewed the connections among Alzheimer's disease (AD), sleep deprivation, and circadian rhythm disorders. Evidence is mounting that disrupted sleep and abnormal circadian rhythms are not merely symptoms of AD, but are also involved in accelerating the disease. Amyloid-beta (Aβ) accumulates, a feature of AD, and worsens with sleep deprivation because glymphatic withdrawal is required to clear toxic proteins from the brain. In addition, disturbances in circadian rhythm can contribute to the induction of neuroinflammation and oxidative stress, thereby accelerating neurodegenerative processes. While these interactions are bidirectional, Alzheimer's pathology further disrupts sleep and circadian function in a vicious cycle that worsens cognitive decline, which is emphasized in the review. The evidence that targeting sleep and circadian mechanisms may serve as therapeutic strategies for AD was strengthened by this study through the analysis of the molecular and physiological pathways. Further work on this nexus could help unravel the neurobiological mechanisms common to the onset of Alzheimer's and disrupted sleep and circadian regulation, which could result in earlier intervention to slow or prevent the onset of the disease.
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Affiliation(s)
- Pratima Khandayataray
- Department of Biotechnology, Academy of Management and Information Technology, Utkal University, Bhubaneswar, Odisha 752057, India
| | - Meesala Krishna Murthy
- Department of Allied Health Sciences, Chitkara School of Health Sciences, Chitkara University, Punjab 140401, India.
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3
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Lam A, Kong D, D'Rozario AL, Ireland C, Ahmed RM, Schrire ZM, Mowszowski L, Michaelian J, Grunstein RR, Naismith SL. Sleep disturbances and disorders in the memory clinic: Self-report, actigraphy, and polysomnography. J Alzheimers Dis 2025:13872877251338065. [PMID: 40325979 DOI: 10.1177/13872877251338065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2025]
Abstract
BackgroundSleep disturbances are common in dementia but rarely studied in memory clinics.ObjectiveIn a memory clinic setting we aimed to (1) identify rates of obstructive sleep apnea (OSA), abnormal sleep duration, circadian phase shift, insomnia, poor sleep quality, and REM sleep behavior disorder (RBD); (2) assess concordance between self-reported and actigraphy-derived measures; investigate associations between sleep disturbances; and (3) neuropsychological performance and (4) cognitive status.MethodsAdults over 50 at a memory clinic between 2009-2024 were included. OSA was assessed via polysomnography and prior history. Sleep duration and circadian phase were measured by self-report and actigraphy. Self-report questionnaires evaluated insomnia, sleep quality, and RBD. Global cognition, processing speed, memory, and executive function were assessed. Analysis of Covariance and multinomial logistic regression examined the impact of OSA, sleep duration, insomnia, and sleep quality on cognition and cognitive status.Results1234 participants (Mage 67.2, 46%M) were included. 75.3% had OSA, while 12.7% were previously diagnosed. Insomnia affected 12.0%, 54.3% had poor sleep quality, and 14.2% endorsed RBD symptoms. Self-reported short (30.5%) and long (10.2%) sleep exceeded actigraphy rates (8.5% and 5.1%) with poor concordance between measures. OSA was linked to impaired global cognition and memory (p < 0.05). Prolonged sleep predicted deficits in global cognition, processing speed, memory, and executive function and a higher risk of aMCI (all p < 0.05). Poor sleep quality was linked to better memory (p < 0.05).ConclusionsDespite discrepancies between self-reported and objective prevalence rates, sleep disturbances are highly prevalent in memory clinics and impact cognition, necessitating further examination.
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Affiliation(s)
- Aaron Lam
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia
- Woolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia
| | - Dexiao Kong
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia
| | - Angela L D'Rozario
- Woolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia
- CogSleep, NHMRC Centre of Research Excellence, Camperdown, NSW, Australia
| | - Catriona Ireland
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Rebekah M Ahmed
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Zoe Menczel Schrire
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia
- CogSleep, NHMRC Centre of Research Excellence, Camperdown, NSW, Australia
| | - Loren Mowszowski
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia
| | - Johannes Michaelian
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia
| | - Ron R Grunstein
- Woolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia
- CogSleep, NHMRC Centre of Research Excellence, Camperdown, NSW, Australia
- Department of Respiratory and Sleep Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, University of Sydney, Camperdown, NSW, Australia
- CogSleep, NHMRC Centre of Research Excellence, Camperdown, NSW, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, NSW, Australia
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Wen B, Li H, Liu X, Shu Y, Shen D, Bu X, Peng D, Liu Y, Li L. Systematic bibliometric and visualized analysis of research hotspots and trends in obstructive sleep apnea neuroimaging. Behav Sleep Med 2025; 23:414-435. [PMID: 40116438 DOI: 10.1080/15402002.2025.2479795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2025]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) patients exhibit neurological symptoms, driving research in sleep medicine and clinical neurology. Neurologists and radiologists explore detection methods to identify unique neural features associated with OSA in the atypical nervous system. Neuroimaging research in OSA encompasses studying the structural, functional connectivity (FC), and neurometabolic aspects of the brain. Limited resources and OSA's heterogeneity pose challenges to effective neuroimaging research. This study aims to conduct a bibliometric analysis of OSA neuroimaging research to identify key trends and emerging themes. METHODS This research utilizes various techniques, including functional MRI, structural MRI, diffusion tensor imaging, magnetic resonance spectroscopy, and electroencephalography, among others. Publications from 1993 to 2023 were retrieved from Web of Science on neuroimaging. Analysis tools included Bibliometric.com, CiteSpace, VOSviewer, and R4.3.2. RESULTS A total of 714 papers were published in 47 countries, with 651 articles, 55 reviews, and 8 meeting abstracts. The USA led in publications, with the University of California System contributing most, primarily in "Sleep" journal. The study identified 2916 authors, with Macey PM having the highest publication count. Recent years highlighted burst keywords such as network, classification, sleep staging, FC, and brain activity. Analysis of keyword clusters revealed "electroencephalography" with the longest temporal duration. CONCLUSIONS Neuroimaging in OSA research has gained increased attention. Incorporating behavioral sleep medicine insights could enhance understanding of OSA's impact on brain function and behavior. This study aims to assist researchers in identifying potential collaborators, institutions, and key themes, providing a comprehensive perspective on OSA neuroimaging research and related sleep disorders.
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Affiliation(s)
- Bing Wen
- Department of Radiology, Yiyang Central Hospital, Yiyang, Hunan Province, China
| | - Haijun Li
- Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Xiang Liu
- Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Yongqiang Shu
- Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Dan Shen
- Department of Radiology, Yiyang Central Hospital, Yiyang, Hunan Province, China
| | - Xinyi Bu
- Department of Radiology, Yiyang Central Hospital, Yiyang, Hunan Province, China
| | - Dechang Peng
- Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Yuting Liu
- Department of Ophthalmology, Hunan Children's Hospital, Changsha, Hunan Province, China
| | - Lifeng Li
- Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
- Department of Radiology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan Province, China
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5
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Ghaderi S, Mohammadi S, Fatehi F. Glymphatic pathway dysfunction in severe obstructive sleep apnea: A meta-analysis. Sleep Med 2025; 131:106528. [PMID: 40267528 DOI: 10.1016/j.sleep.2025.106528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Revised: 04/11/2025] [Accepted: 04/18/2025] [Indexed: 04/25/2025]
Abstract
BACKGROUND Obstructive sleep apnea (OSA), a sleep disorder, is associated with cognitive decline and is potentially linked to glymphatic system dysfunction. This meta-analysis investigates glymphatic function in severe OSA (apnea-hypopnea index ≥30) using the Diffusion Tensor Imaging Analysis along the Perivascular Space (DTI-ALPS) index. METHODS This study followed PRISMA guidelines for systematic reviews and meta-analyses. A comprehensive search of PubMed, Web of Science, Scopus, and Embase was conducted from inception to January 20, 2024. Studies investigating the ALPS index in OSA using DTI were included. Analyses included a random-effects meta-analysis, sensitivity analysis, meta-regression, publication bias evaluation (funnel plot, Egger's test, and Begg's test), and risk of bias assessment. RESULTS Systematic review identified four studies (137 patients with severe OSA and 170 healthy controls (HCs)). Pooled analysis revealed a significant reduction in the DTI-ALPS index in severe OSA patients compared to HCs (standardized mean difference: -0.95, 95 % CI: -1.46 to -0.44, p < 0.001), indicating impaired glymphatic function. Heterogeneity was moderate to high (I2 = 76.07 %), but sensitivity analyses confirmed robustness. Meta-regression analyses identified the sources of heterogeneity as the apnea-hypopnea index (β = -0.039, p = 0.009) and the Epworth Sleepiness Scale (β = -0.150, p = 0.032), with no effects observed for age or male ratio. Qualitative (funnel plot) and quantitative publication bias assessments (Egger's and Begg's tests) showed no significant bias, and risk of bias evaluations using the Newcastle-Ottawa Scale indicated high methodological quality across studies. CONCLUSIONS These findings suggest that severe OSA disrupts glymphatic activity. The DTI-ALPS index emerges as a promising tool for assessing glymphatic dysfunction in OSA.
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Affiliation(s)
- Sadegh Ghaderi
- Neuromuscular Research Center, Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran; Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Sana Mohammadi
- Neuromuscular Research Center, Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Fatehi
- Neuromuscular Research Center, Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
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6
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Bubu OM, Varga AW. Obstructive Sleep Apnea Treatment for Brain Health: Improvement in Connectivity but Not Measurable Function? Am J Respir Crit Care Med 2025; 211:554-556. [PMID: 40019824 PMCID: PMC12005029 DOI: 10.1164/rccm.202501-0057ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2025] [Accepted: 02/25/2025] [Indexed: 03/20/2025] Open
Affiliation(s)
- Omonigho M Bubu
- Departments of Psychiatry, Population Health, and Neurology New York University Grossman School of Medicine New York, New York
| | - Andrew W Varga
- Division of Pulmonary, Critical Care and Sleep Medicine and Friedman Brain Institute Icahn School of Medicine at Mount Sinai New York, New York
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7
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Roy B, Kumar R, Sarovich SD, Vacas S. The Role of the Glymphatic System in Perioperative Neurocognitive Disorders. J Neurosurg Anesthesiol 2025; 37:181-187. [PMID: 38775193 PMCID: PMC11582080 DOI: 10.1097/ana.0000000000000973] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/17/2024] [Indexed: 11/24/2024]
Abstract
BACKGROUND The glymphatic system plays a crucial role in clearing metabolic waste from the central nervous system and is most active during sleep. Patients with obstructive sleep apnea (OSA) have a dysfunctional glymphatic system that correlates with disease severity. In addition, these patients have worse outcomes after surgery. The status of the glymphatic system during the perioperative period is unclear and can be examined with magnetic resonance imaging (MRI)-based diffusion tensor imaging (DTI). This study assessed perioperative glymphatic system changes in OSA surgical patients and possible relationships with perioperative neurocognitive disorders. METHODS DTI data from 13 OSA patients having laparoscopic abdominal surgery with general anesthesia were acquired and analyzed using a 3.0-T MRI scanner. Diffusivity maps in the x -axis (D xx ), y -axis (D yy ), z -axis (D zz ), x - y axis (D xy ), y - z axis (D yz ), and x - z axis (D xz ) were calculated. Diffusion values for the projection and association fibers were extracted, and DTI analysis along the perivascular space (ALPS) was performed. The patients' cognition was assessed using the Montreal Cognitive Assessment tool. Evaluations were carried out within 5 days before surgery and within the first 48 hours after surgery. RESULTS The ALPS index decreased after surgery, and this correlated with a decrease in general cognition scores and specific memory domains, including visuospatial and delayed recall. CONCLUSIONS The glymphatic system in OSA patients is worsened after surgery and this may contribute to an increased risk for long-term postoperative cognitive disorders. This study suggest that the glymphatic system might play a role in the pathophysiology of perioperative neurocognitive disorders and be a potential therapeutic target.
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Affiliation(s)
- Bhaswati Roy
- Departments of Anesthesiology and Perioperative Medicine
| | - Rajesh Kumar
- Departments of Anesthesiology and Perioperative Medicine
- Radiology
- Bioengineering
- Brain Research Institute, University of California Los Angeles, Los Angeles, CA
| | | | - Susana Vacas
- Department of Anesthesiology, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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Echeverry-Quiceno LM, Llambrich S, Heredia-Lidón Á, Giménez S, Rozalem-Aranha M, Inampudi P, Heuzé Y, Sevillano X, Fortea J, Martínez-Abadías N. Potential of facial biomarkers for Alzheimer's disease and obstructive sleep apnea in Down syndrome and general population. FASEB J 2025; 39:e70480. [PMID: 40123509 DOI: 10.1096/fj.202403009r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2024] [Revised: 02/25/2025] [Accepted: 03/12/2025] [Indexed: 03/25/2025]
Abstract
Down syndrome (DS), caused by trisomy 21, is associated with an increased risk of Alzheimer's disease (AD) and obstructive sleep apnea (OSA). Traditional diagnostic methods for AD and OSA, like cerebrospinal fluid analysis and polysomnography, are invasive and challenging for people with DS. In this study, we assessed whether facial morphology could be used as a potential noninvasive biomarker for these conditions in both DS and the general population. We performed a comprehensive 3D analysis of facial shape variation by registering the 3D coordinates of 21 landmarks on facial models extracted from magnetic resonance images of 131 individuals with DS and 216 euploid (EU) adult controls, including AD and OSA cases. Procrustes ANOVA and MANOVA quantified shape variation by sex, age, and facial size, while geometric morphometrics assessed diagnostic group differences. Significant facial shape differences were observed between the DS and EU groups, indicating sex-dependent differences and altered age-related changes in DS, particularly in females. Facial shape correlated with the amyloid beta ratio (Aβ1-42/Aβ1-40), a key AD biomarker. In DS, facial shape differences by AD diagnosis were not significant after adjusting for age and facial size, but significant shape differences were detected in the EU population. For OSA, facial shape correlated with the apnea-hypopnea index (AHI), and DS individuals with severe OSA showed distinct facial morphology compared with those without OSA, suggesting an association between facial shape and sleep respiratory disturbances. These results highlight the potential of facial morphology as a noninvasive biomarker for AD and OSA detection and management.
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Affiliation(s)
- L M Echeverry-Quiceno
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals (BEECA), Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain
| | - S Llambrich
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals (BEECA), Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain
| | - Á Heredia-Lidón
- HER - Human-Environment Research Group, La Salle - Universitat Ramon Llull, Barcelona, Spain
| | - S Giménez
- Multidisciplinary Sleep Unit - Respiratory Department, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Institut de Recerca Sant Pau -, Universitat Autònoma de Barcelona, Barcelona, Spain
- Memory Unit, Department of Neurology, Institut de Recerca Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - M Rozalem-Aranha
- Memory Unit, Department of Neurology, Institut de Recerca Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
- Neuroradiology Section, Department of Radiology, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - P Inampudi
- Columbia University College of Dental Medicine, New York, USA
| | - Y Heuzé
- Univ. Bordeaux, CNRS, Ministère de la Culture, PACEA, UMR 5199, Pessac, France
| | - X Sevillano
- HER - Human-Environment Research Group, La Salle - Universitat Ramon Llull, Barcelona, Spain
| | - J Fortea
- Memory Unit, Department of Neurology, Institut de Recerca Sant Pau - Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - N Martínez-Abadías
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals (BEECA), Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Spain
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Parhizkar S, Holtzman DM. The night's watch: Exploring how sleep protects against neurodegeneration. Neuron 2025; 113:817-837. [PMID: 40054454 PMCID: PMC11925672 DOI: 10.1016/j.neuron.2025.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 10/15/2024] [Accepted: 02/04/2025] [Indexed: 03/21/2025]
Abstract
Sleep loss is often regarded as an early manifestation of neurodegenerative diseases given its common occurrence and link to cognitive dysfunction. However, the precise mechanisms by which sleep disturbances contribute to neurodegeneration are not fully understood, nor is it clear why some individuals are more susceptible to these effects than others. This review addresses critical unanswered questions in the field, including whether sleep disturbances precede or result from neurodegenerative diseases, the functional significance of sleep changes during the preclinical disease phase, and the potential role of sleep homeostasis as an adaptive mechanism enhancing resilience against cognitive decline and neurodegeneration.
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Affiliation(s)
- Samira Parhizkar
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO 63110, USA
| | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer Disease Research Center, Washington University, St. Louis, MO 63110, USA.
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10
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Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Bansal N, Beaton AZ, Commodore-Mensah Y, Currie ME, Elkind MSV, Fan W, Generoso G, Gibbs BB, Heard DG, Hiremath S, Johansen MC, Kazi DS, Ko D, Leppert MH, Magnani JW, Michos ED, Mussolino ME, Parikh NI, Perman SM, Rezk-Hanna M, Roth GA, Shah NS, Springer MV, St-Onge MP, Thacker EL, Urbut SM, Van Spall HGC, Voeks JH, Whelton SP, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2025; 151:e41-e660. [PMID: 39866113 DOI: 10.1161/cir.0000000000001303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Liang J, Hussainy S, Lee SM, Wu G, Bautista N, Ding M, Wang H, LaFleur B, Perry G, Wang X. Association of Polygenic Risk Score for 5 Diseases With Alzheimer Disease Progression, Biomarkers, and Amyloid Deposition. Neurology 2025; 104:e210250. [PMID: 39836940 PMCID: PMC11748256 DOI: 10.1212/wnl.0000000000210250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 11/01/2024] [Indexed: 01/23/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Alzheimer disease (AD) is a heterogeneous neurodegenerative disorder influenced by genetic and environmental factors. Conditions such as type 2 diabetes (T2D), cardiovascular disease, obesity, depression, and obstructive sleep apnea (OSA) increase AD risk and progression. This study aimed to examine the genetic predisposition to these conditions and their effect on AD pathophysiology, risk, and progression. METHODS A retrospective analysis was conducted using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), a North American prospective cohort. Polygenic risk scores (PRSs) for OSA, T2D, coronary artery disease (CAD), major depression, and body mass index (BMI) were generated for 752 non-Hispanic White participants with whole-genome sequencing data. Logistic regression was used to evaluate associations between PRSs and progression from mild cognitive impairment (MCI) to AD. Time to progression across PRS quartiles was analyzed using Cox proportional hazards models. PET amyloid and tau deposition rates, regional neocortical atrophy, and cognitive composite score declines were compared across OSA PRS quartiles using analysis of variance (ANOVA). RESULTS Among 463 ADNI participants with baseline MCI (mean age 72.6 ± 7.3 years, 43.4% female), the OSA PRS, adjusted for BMI, was significantly associated with MCI-to-AD progression. The highest OSA PRS quartile had an odds ratio of 1.86 (95% CI 1.03-3.37) at 3 years and 2.02 (95% CI 1.16-3.51) at 5 years, compared with the lowest quartile. PRSs for T2D, CAD, major depression, and BMI were not associated with MCI-to-AD progression. Participants in the highest OSA PRS quartile had higher PET amyloid deposition and greater cognitive decline. In 752 participants (mean age 74.1 ± 7.3 years, 43.6% female), OSA PRS was significantly associated with baseline levels of PET amyloid, CSF amyloid-β 42, phosphorylated tau (p-tau), visinin-like protein 1, tumor necrosis factor receptor 1, and plasma neurofilament light after multiple testing adjustments. DISCUSSION Individuals with high polygenic susceptibility to OSA exhibited an increased risk of MCI-to-AD progression and a higher amyloid deposition rate, suggesting potential modifier effects of OSA or OSA-associated genes on AD progression and pathophysiology. However, the small sample size and lack of objective OSA diagnosis limit interpretation of these genetic effects.
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Affiliation(s)
- Jingjing Liang
- Department of Pharmacy Practice and Science, University of Arizona, Tucson
| | - Sadiya Hussainy
- Department of Pharmacy Practice and Science, University of Arizona, Tucson
| | - Sara Michelle Lee
- Department of Pharmacy Practice and Science, University of Arizona, Tucson
| | - Gray Wu
- Department of Pharmacology and Toxicology, University of Arizona, Tucson
| | - Natalie Bautista
- Department of Pharmacology and Toxicology, University of Arizona, Tucson
| | - Mao Ding
- Department of Pharmacology and Toxicology, University of Arizona, Tucson
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA; and
| | - Bonnie LaFleur
- Department of Pharmacy Practice and Science, University of Arizona, Tucson
| | - George Perry
- Department of Biology and Neurosciences Institute, University of Texas at San Antonio
| | - Xinglong Wang
- Department of Pharmacology and Toxicology, University of Arizona, Tucson
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12
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Pathmanathan J, Westover MB, Sivakumaran S, Donoghue J, Puryear CB. The role of sleep in Alzheimer's disease: a mini review. Front Neurosci 2025; 19:1428733. [PMID: 39975973 PMCID: PMC11835855 DOI: 10.3389/fnins.2025.1428733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 01/13/2025] [Indexed: 02/21/2025] Open
Abstract
Sleep is a stereotyped and well-preserved series of neurophysiological states that are essential for overall health and brain functioning. Emerging research suggests that sleep disturbances are not only associated with but also causally contribute to neurodegenerative disease onset and progression. This mini-review examines some of the current knowledge and evidence for relationships between sleep abnormalities and Alzheimer's disease within context of possible uses and limitations of sleep biomarkers for evaluation of Alzheimer's disease. Understanding these relationships could lead to readily accessible and easily quantifiable biomarkers of Alzheimer's dementia.
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13
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Feng S, Park JH, Zhang Q, Ma P, Lee JM, Shin JC. The Associations Between Sleep Duration and Various Metabolic Health Indices Among Adults in the United States: A Multivariate Analysis of Variance (MANOVA) Using National Health and Nutrition Examination Survey (NHANES) 2021 to 2023 Dataset. J Prim Care Community Health 2025; 16:21501319251315599. [PMID: 39876061 PMCID: PMC11776014 DOI: 10.1177/21501319251315599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 01/04/2025] [Accepted: 01/08/2025] [Indexed: 01/30/2025] Open
Abstract
OBJECTIVE This study explores the associations between various sleep durations and metabolic health indices, including systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol levels, high-density lipoprotein (HDL) cholesterol, and waist circumference. METHODS Data from the National Health and Nutrition Examination Survey (NHANES) 2021 to 2023, were analyzed. MANOVA and Bonferroni-adjusted ANOVAs were conducted to examine the relationships between sleep duration (sleep deprivation (≤5 h), short sleep (5-7 h), recommended sleep (7-9 h), and long sleep (>9 h)) and metabolic health indices. RESULTS MANOVA revealed significant group differences between sleep duration and metabolic health indices, with Wilks' Lambda (Λ) = .98, F (3, 5095) = 4.26, P < .001. Compared to recommended sleep duration, both sleep deprivation and short sleep were associated with higher DBP (Ps < .01) and waist circumference (Ps < .001), and lower HDL levels (Ps < .05) Long sleep was associated with lower HDL levels (P < .01) and lower total cholesterol (P < .01). CONCLUSION The study highlights the detrimental associations of both sleep deprivation and short sleep with metabolic health, such as elevated blood pressure and waist circumference, and lowered HDL cholesterol. Long sleep may also negatively impact metabolic health by reducing HDL.
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Affiliation(s)
- Shuo Feng
- Texas A&M Health Science Center, College Station, TX, USA
| | - Jeong-Hui Park
- Texas A&M Health Science Center, College Station, TX, USA
| | - Qiyue Zhang
- Texas A&M University, College Station, TX, USA
| | - Ping Ma
- Texas A&M Health Science Center, College Station, TX, USA
| | - Jung-Min Lee
- Kyung Hee University (Global Campus), Giheung-gu, Yongin-si, Gyeonggi-do, Republic of Korea
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14
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Lam A, D'Rozario AL, Kong S, Ireland C, Mowszowski L, LaMonica HM, Phillips CL, Hoyos CM, Grunstein RR, Naismith SL. Screening for obstructive sleep apnea in the memory clinic: A comparison of questionnaires, pulse oximetry, and polysomnography. J Alzheimers Dis 2025; 103:218-229. [PMID: 39610292 DOI: 10.1177/13872877241299458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2024]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) is highly prevalent among older adults and has been associated with cognitive decline and dementia risk. The suitability of screening tools for detecting OSA in memory clinic settings is unclear. OBJECTIVE To evaluate the utility and validity of the STOP-Bang questionnaire (SBQ) and pulse oximeter as a screening tool, compared to gold-standard polysomnography (PSG) in older adults attending a memory clinic. METHODS Participants aged over 50 with new onset cognitive/mood concerns attended a memory clinic, then completed the SBQ, oximetry, and PSG. The SBQ and oximetry's accuracy in detecting moderate-severe and severe OSA was evaluated using receiver operating curves. Intraclass correlation and Bland-Altman plots compared the oximeter's adjusted oxygen desaturation index (ODI-Ox) and PSG's apnea-hypopnea index (AHI-PSG). RESULTS Of 194 participants (mean age = 65.6, 64 males) who completed PSG, 184 completed the SBQ, and 138 completed oximetry. SBQ demonstrated limited performance for moderate-severe OSA (sensitivity = 52%, specificity = 62%, AUC = 0.600) and severe OSA (sensitivity = 18%, specificity = 87%, AUC = 0.577). Oximetry was satisfactory for moderate-severe OSA (sensitivity = 67%, specificity = 73%, AUC = 0.769) and severe OSA (sensitivity = 50%, specificity = 88%, AUC = 0.730). The diagnostic performance was improved with new cut-offs at ODI-Ox ≥ 11 for AHI-PSG ≥ 15 and ODI-Ox ≥ 20 for AHI-PSG ≥ 30. Bland-Altman plots and intraclass correlation indicated acceptable agreement for oximetry. CONCLUSIONS The findings suggest that while the SBQ may be unsuitable to detect moderate or severe OSA for older adults with cognitive impairment, oximetry may be a viable screening tool. Given OSA treatment can optimize sleep and may slow cognitive decline, routine screening for OSA should be part of memory clinic assessments.
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Affiliation(s)
- Aaron Lam
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Australia
- School of Psychology, Faculty of Science, University of Sydney, Australia
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macqaurie University, Macquarie Park, NSW, Australia
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
- Charles Perkins Centre, University of Sydney, Australia
| | - Angela L D'Rozario
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Australia
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macqaurie University, Macquarie Park, NSW, Australia
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
- CogSleep, NHMRC Centre of Research Excellence, Australia
| | - Shawn Kong
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Australia
- School of Psychology, Faculty of Science, University of Sydney, Australia
- CogSleep, NHMRC Centre of Research Excellence, Australia
| | - Catriona Ireland
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Australia
| | - Loren Mowszowski
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Australia
- School of Psychology, Faculty of Science, University of Sydney, Australia
| | | | - Craig L Phillips
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macqaurie University, Macquarie Park, NSW, Australia
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
| | - Camilla M Hoyos
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Australia
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macqaurie University, Macquarie Park, NSW, Australia
- Department of Health Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia
| | - Ronald R Grunstein
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macqaurie University, Macquarie Park, NSW, Australia
- CogSleep, NHMRC Centre of Research Excellence, Australia
- Faculty of Medicine and Health, University of Sydney, Australia
- Royal Prince Alfred Hospital, Sydney, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, The Brain and Mind Centre, University of Sydney, Australia
- School of Psychology, Faculty of Science, University of Sydney, Australia
- Charles Perkins Centre, University of Sydney, Australia
- CogSleep, NHMRC Centre of Research Excellence, Australia
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15
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Regalbuto S, Zangaglia R, Valentino F, Todisco M, Pacchetti C, Cotta Ramusino M, Mazzacane F, Picascia M, Arceri S, Malomo G, Capriglia E, Spelta L, Rubino A, Pisani A, Terzaghi M. Clinical correlates of obstructive sleep apnoea in idiopathic normal pressure hydrocephalus. Eur J Neurol 2024; 31:e16448. [PMID: 39207116 PMCID: PMC11555027 DOI: 10.1111/ene.16448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 07/30/2024] [Accepted: 08/04/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND AND PURPOSE The pathogenesis of idiopathic normal pressure hydrocephalus (iNPH) remains controversial. Limited studies have indicated a high prevalence of obstructive sleep apnoea (OSA) amongst iNPH patients. The aim was to investigate the clinical correlates of OSA in iNPH patients. METHODS In this cross-sectional observational study, consecutive iNPH patients were prospectively enrolled. Evaluations included the iNPH Rating Scale, the Movement Disorder Society Unified Parkinson's Disease Rating Scale part III, the time and number of steps to walk 10 m, the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index, a complete neuropsychological evaluation, 3-T brain MRI, full-night video-polysomnography, tap test and cerebrospinal fluid (CSF) neurodegeneration biomarkers. RESULTS Fifty-one patients were screened, of whom 38 met the inclusion criteria. Amongst the recruited patients, 19/38 (50%) exhibited OSA, with 12/19 (63.2%) presenting moderate to severe disorder. OSA+ iNPH patients required more time (p = 0.02) and more steps (p = 0.04) to complete the 10-m walking test, had lower scores on the gait subitem of the iNPH Rating Scale (p = 0.04) and demonstrated poorer performance on specific neuropsychological tests (Rey Auditory Verbal Learning Test immediate recall, p = 0.03, and Rey-Osterrieth Complex Figure, p = 0.01). Additionally, OSA+ iNPH patients had higher levels of total tau (p = 0.02) and phospho-tau (p = 0.03) in their CSF but no statistically significant differences in beta-amyloid (1-42) levels compared to OSA- iNPH patients. CONCLUSION Obstructive sleep apnoea is highly prevalent in iNPH patients, particularly at moderate to severe levels. OSA is associated with worse motor and cognitive performance in iNPH. The CSF neurodegeneration biomarker profile observed in OSA+ iNPH patients may reflect OSA-induced impairment of cerebral fluid dynamics.
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Affiliation(s)
- Simone Regalbuto
- IRCCS Mondino FoundationNational Neurological InstitutePaviaItaly
| | | | | | | | | | - Matteo Cotta Ramusino
- IRCCS Mondino FoundationNational Neurological InstitutePaviaItaly
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
| | - Federico Mazzacane
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
| | - Marta Picascia
- IRCCS Mondino FoundationNational Neurological InstitutePaviaItaly
| | | | - Gaetano Malomo
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
| | - Elena Capriglia
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
| | - Laura Spelta
- IRCCS Mondino FoundationNational Neurological InstitutePaviaItaly
| | - Annalisa Rubino
- IRCCS Mondino FoundationNational Neurological InstitutePaviaItaly
| | - Antonio Pisani
- IRCCS Mondino FoundationNational Neurological InstitutePaviaItaly
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
| | - Michele Terzaghi
- IRCCS Mondino FoundationNational Neurological InstitutePaviaItaly
- Department of Brain and Behavioural SciencesUniversity of PaviaPaviaItaly
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16
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Yu X, Guan L, Su P, Zhang Q, Guo X, Li T, Zhang J, Ji Y, Zhang H. Study on OSA screening and influencing factors in community-based elderly hypertensive patients based on single-lead wearable ECG devices. Sleep Breath 2024; 28:2445-2456. [PMID: 39207664 DOI: 10.1007/s11325-024-03136-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/30/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE Assessing whether single-lead ECG can be effectively and relatively inexpensively used in large-scale OSA screening, and identifying factors influencing moderate-to-severe OSA among elderly hypertensive patients without atypical symptoms in primary care. METHODS The study gathered data from 15 medical institutions in Ningxia between January and December 2022 using cloud platforms. The dataset included basic information and 72-h ECG monitoring for 2573 hypertensive patients over 65. OSA screening was conducted using the single-lead wearable ECG devices based on the ACAT algorithm. A multivariable logistic regression identified the main factors affecting OSA severity in these patients, and the AUC was used to assess the model's predictive accuracy. RESULTS The study found an OSA detection rate of 87.10%, with 55.42% being moderate to severe cases. Key risk factors associated with developing moderate-to-severe OSA included cardiac irregularities like supraventricular extrasystole and atrioventricular block, male gender, lifestyle factors like alcohol consumption and smoking, and health indicators such as SDNN ≤ 100 ms, abnormal LF/HF ratio, BMI, and age. The model's accuracy for predicting OSA, indicated by a ROAUC of 0.625, was moderate. Factors like gender, tea consumption, stroke history, and ventricular tachycardia were also independently linked to OSA severity. CONCLUSION This study combines single-lead wearable ECG devices with the ACAT algorithm for OSA screening in Ningxia, China. Initial screening identified 87.10% of participants as having OSA, with 55.42% being moderate to severe cases. This suggests a convenient, low-cost, and repeatable ECG-based method for OSA screening, potentially improving early detection and management of OSA by identifying potential risk factors.
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Affiliation(s)
- Xinyan Yu
- The First People's Hospital of Yinchuan, Yinchuan, Ningxia Hui Autonomous Region, China
| | - Linger Guan
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Peng Su
- School of public health, North China University of Science and Technology, Tang Shan city, Hebei Province, China
| | - Qinghong Zhang
- Lijing Yaju Community Health Service Station, The First People's Hospital of Yinchuan, Yinchuan City, Ningxia Hui Autonomous Region, China
| | - Xuan Guo
- Ninghua Road Community Health Service Center, Yinchuan City, Ningxia Hui Autonomous Region, China
| | - Ting Li
- Daba Town Health Center, Qingtongxia City, Ningxia Hui Autonomous Region, China
| | - Jing Zhang
- Yingshuiqiao Town Health Center, Shapotou District, Zhongwei City, Ningxia Hui Autonomous Region, China
| | - Yongli Ji
- Jingyuan Community Health Service Station, Shizuishan City, Ningxia Hui Autonomous Region, China
| | - Haicheng Zhang
- Department of Cardiology, Peking University People's Hospital, Beijing, China.
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17
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Braley TJ, Lyu X, Dunietz GL, Schulz PC, Bove R, Chervin RD, Paulson HL, Shedden K. Sex-specific dementia risk in known or suspected obstructive sleep apnea: a 10-year longitudinal population-based study. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae077. [PMID: 39554998 PMCID: PMC11568356 DOI: 10.1093/sleepadvances/zpae077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 10/02/2024] [Indexed: 11/19/2024]
Abstract
Study Objectives To evaluate sex-specific associations between known or suspected obstructive sleep apnea (OSA) and dementia risk over 10 years among older women and men. Methods This study included 18 815 women and men age 50+ years (dementia-free at baseline) who participated in the Health and Retirement Study (HRS), a nationally representative cohort of US adults. Presence of OSA was defined by self-reported diagnosis or key HRS items that correspond to elements of a validated OSA screening tool (STOP-Bang). Incident dementia cases were identified using a validated, HRS-based algorithm derived from objective cognitive assessments. Survey-weighted regression models based on pseudo-values were utilized to estimate sex- and age-specific differences in cumulative incidence of dementia by OSA status. Results Data from 18 815 adults were analyzed, of which 9% of women and 8% of men (weighted proportions) met criteria for incident dementia. Known/suspected OSA was more prevalent in men than in women (weighted proportions 68% vs. 31%). Unadjusted sex-stratified analyses showed that known/suspected OSA was associated with higher cumulative incidence of dementia across ages 60-84 years for women and men. By age 80, relative to adults without known/suspected OSA, the cumulative incidence of dementia was 4.7% higher (CI 2.8%, 6.7%) for women with known/suspected OSA, and 2.5% (CI 0.5%, 4.5%) for men with known/suspected OSA, respectively. Adjusted associations between age-specific OSA and cumulative incidence of dementia attenuated for both women and men but remained statistically significant. Conclusions OSA contributes to dementia risk in older adults, particularly women. This study illuminates the impact of a potentially modifiable yet frequently overlooked risk factor for dementia onset.
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Affiliation(s)
- Tiffany J Braley
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- Division of Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Xiru Lyu
- Consulting for Statistics, Computing and Analytics Research, University of Michigan, Ann Arbor, MI, USA
| | - Galit Levi Dunietz
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Paul C Schulz
- Population Studies Center, Center for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Riley Bove
- Division of Neuroimmunology, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Ronald D Chervin
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA
| | - Henry L Paulson
- Division of Cognitive Disorders, Department of Neurology, University of Michigan, Ann Arbor, MI, Michigan Alzheimer’s Disease Center, Ann Arbor, MI, USA
| | - Kerby Shedden
- Consulting for Statistics, Computing and Analytics Research, University of Michigan, Ann Arbor, MI, USA
- Department of Statistics, University of Michigan, Ann Arbor, MI, USA
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18
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Carvalho DZ, Kremen V, Mivalt F, St. Louis EK, McCarter SJ, Bukartyk J, Przybelski SA, Kamykowski MG, Spychalla AJ, Machulda MM, Boeve BF, Petersen RC, Jack CR, Lowe VJ, Graff-Radford J, Worrell GA, Somers VK, Varga AW, Vemuri P. Non-rapid eye movement sleep slow-wave activity features are associated with amyloid accumulation in older adults with obstructive sleep apnoea. Brain Commun 2024; 6:fcae354. [PMID: 39429245 PMCID: PMC11487750 DOI: 10.1093/braincomms/fcae354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/12/2024] [Accepted: 10/04/2024] [Indexed: 10/22/2024] Open
Abstract
Obstructive sleep apnoea (OSA) is associated with an increased risk for cognitive impairment and dementia, which likely involves Alzheimer's disease pathology. Non-rapid eye movement slow-wave activity (SWA) has been implicated in amyloid clearance, but it has not been studied in the context of longitudinal amyloid accumulation in OSA. This longitudinal retrospective study aims to investigate the relationship between polysomnographic and electrophysiological SWA features and amyloid accumulation. From the Mayo Clinic Study of Aging cohort, we identified 71 participants ≥60 years old with OSA (mean baseline age = 72.9 ± 7.5 years, 60.6% male, 93% cognitively unimpaired) who had at least 2 consecutive Amyloid Pittsburgh Compound B (PiB)-PET scans and a polysomnographic study within 5 years of the baseline scan and before the second scan. Annualized PiB-PET accumulation [global ΔPiB(log)/year] was estimated by the difference between the second and first log-transformed global PiB-PET uptake estimations divided by the interval between scans (years). Sixty-four participants were included in SWA analysis. SWA was characterized by the mean relative spectral power density (%) in slow oscillation (SO: 0.5-0.9 Hz) and delta (1-3.9 Hz) frequency bands and by their downslopes (SO-slope and delta-slope, respectively) during the diagnostic portion of polysomnography. We fit linear regression models to test for associations among global ΔPiB(log)/year, SWA features (mean SO% and delta% or mean SO-slope and delta-slope), and OSA severity markers, after adjusting for age at baseline PiB-PET, APOE ɛ4 and baseline amyloid positivity. For 1 SD increase in SO% and SO-slope, global ΔPiB(log)/year increased by 0.0033 (95% CI: 0.0001; 0.0064, P = 0.042) and 0.0069 (95% CI: 0.0009; 0.0129, P = 0.026), which were comparable to 32% and 59% of the effect size associated with baseline amyloid positivity, respectively. Delta-slope was associated with a reduction in global ΔPiB(log)/year by -0.0082 (95% CI: -0.0143; -0.0021, P = 0.009). Sleep apnoea severity was not associated with amyloid accumulation. Regional associations were stronger in the pre-frontal region. Both slow-wave slopes had more significant and widespread regional associations. Annualized PiB-PET accumulation was positively associated with SO and SO-slope, which may reflect altered sleep homeostasis due to increased homeostatic pressure in the setting of unmet sleep needs, increased synaptic strength, and/or hyper-excitability in OSA. Delta-slope was inversely associated with PiB-PET accumulation, suggesting it may represent residual physiological activity. Further investigation of SWA dynamics in the presence of sleep disorders before and after treatment is necessary for understanding the relationship between amyloid accumulation and SWA physiology.
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Affiliation(s)
- Diego Z Carvalho
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Vaclav Kremen
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Filip Mivalt
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Erik K St. Louis
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Stuart J McCarter
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | - Jan Bukartyk
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Scott A Przybelski
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA
| | | | | | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA
| | - Bradley F Boeve
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | | | - Virend K Somers
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Andrew W Varga
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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19
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Li A, Jaakkola MK, Saaresranta T, Klén R, Li XG. Analysis of sleep apnea research with a special focus on the use of positron emission tomography as a study tool. Sleep Med Rev 2024; 77:101967. [PMID: 38936220 DOI: 10.1016/j.smrv.2024.101967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/20/2024] [Accepted: 06/02/2024] [Indexed: 06/29/2024]
Abstract
The quality of sleep plays a significant role in determining human well-being, and studying sleep and sleep disorders using various methods can aid in the prevention and treatment of diseases. Positron emission tomography (PET) is a noninvasive and highly sensitive medical imaging technique that has been widely adopted in the clinic. This review article provides data on research activity related to sleep and sleep apnea and discusses the use of PET in investigating sleep apnea and other sleep disorders. We conducted a statistical analysis of the number of original research articles published on sleep and sleep apnea between 1965 and 2021 and found that there has been a dramatic increase in publications since 1990. The distribution of contributing countries and regions has also undergone significant changes. Although there is an extensive body of literature on sleep research (256,399 original research articles during 1965-2021), PET has only been used in 54 of these published studies, indicating a largely untapped area of research. Nonetheless, PET is a useful tool for identifying connections between sleep disorders and pathological changes in various diseases, including neurological, metabolic, and cardiovascular disorders, as well as cancer. To facilitate the broader use of PET in sleep apnea research, further studies are needed in both clinical and preclinical settings.
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Affiliation(s)
- Anting Li
- Turku PET Centre, University of Turku, Turku, Finland; Faculty of Medicine, University of Turku, Turku, Finland
| | - Maria K Jaakkola
- Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Tarja Saaresranta
- Division of Medicine, Department of Pulmonary Diseases, Turku University Hospital, Turku, Finland; Sleep Research Centre, Department of Pulmonary Diseases and Clinical Allergology, University of Turku, Turku, Finland
| | - Riku Klén
- Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland
| | - Xiang-Guo Li
- Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland; InFLAMES Research Flagship, University of Turku, Turku, Finland; Department of Chemistry, University of Turku, Turku, Finland.
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20
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Cavaillès C, Andrews SJ, Leng Y, Chatterjee A, Daghlas I, Yaffe K. Causal Associations of Sleep Apnea With Alzheimer Disease and Cardiovascular Disease: A Bidirectional Mendelian Randomization Analysis. J Am Heart Assoc 2024; 13:e033850. [PMID: 39258525 PMCID: PMC11935638 DOI: 10.1161/jaha.123.033850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 06/26/2024] [Indexed: 09/12/2024]
Abstract
BACKGROUND Sleep apnea (SA) has been linked to an increased risk of dementia in numerous observational studies; whether this is driven by neurodegenerative, vascular, or other mechanisms is not clear. We sought to examine the bidirectional causal relationships between SA, Alzheimer disease (AD), coronary artery disease (CAD), and ischemic stroke using Mendelian randomization. METHODS AND RESULTS Using summary statistics from 4 recent, large genome-wide association studies of SA (n=523 366), AD (n=94 437), CAD (n=1 165 690), and stroke (n=1 308 460), we conducted bidirectional 2-sample Mendelian randomization analyses. Our primary analytic method was fixed-effects inverse variance-weighted (IVW) Mendelian randomization; diagnostics tests and sensitivity analyses were conducted to verify the robustness of the results. We identified a significant causal effect of SA on the risk of CAD (odds ratio [ORIVW]=1.35 per log-odds increase in SA liability [95% CI=1.25-1.47]) and stroke (ORIVW=1.13 [95% CI=1.01-1.25]). These associations were somewhat attenuated after excluding single-nucleotide polymorphisms associated with body mass index (ORIVW=1.26 [95% CI=1.15-1.39] for CAD risk; ORIVW=1.08 [95% CI=0.96-1.22] for stroke risk). SA was not causally associated with a higher risk of AD (ORIVW=1.14 [95% CI=0.91-1.43]). We did not find causal effects of AD, CAD, or stroke on risk of SA. CONCLUSIONS These results suggest that SA increased the risk of CAD, and the identified causal association with stroke risk may be confounded by body mass index. Moreover, no causal effect of SA on AD risk was found. Future studies are warranted to investigate cardiovascular pathways between sleep disorders, including SA, and dementia.
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Affiliation(s)
- Clémence Cavaillès
- Department of Psychiatry and Behavioral SciencesUniversity of California San FranciscoSan FranciscoCA
| | - Shea J. Andrews
- Department of Psychiatry and Behavioral SciencesUniversity of California San FranciscoSan FranciscoCA
| | - Yue Leng
- Department of Psychiatry and Behavioral SciencesUniversity of California San FranciscoSan FranciscoCA
| | | | - Iyas Daghlas
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral SciencesUniversity of California San FranciscoSan FranciscoCA
- San Francisco Veterans Affairs Health Care SystemSan FranciscoCA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCA
- Department of EpidemiologyUniversity of California San FranciscoSan FranciscoCA
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21
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Tucker A, Goldberg TE, Kim H. Biomarkers of sleep-wake disturbance as predictors of cognitive decline and accelerated disease progression. Expert Rev Mol Diagn 2024; 24:649-657. [PMID: 39129222 DOI: 10.1080/14737159.2024.2389307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 08/02/2024] [Indexed: 08/13/2024]
Abstract
INTRODUCTION In older adults, where sleep disturbances and cognitive impairment are common, mounting evidence suggests a potential connection between sleep and cognitive function, highlighting the significance of utilizing sleep as a biomarker for early detection of cognitive impairment to improve clinical outcomes in a noninvasive, cost-effective manner. AREAS COVERED This review describes the relationship between sleep and cognitive function in older adults, encompassing both subjective and objective measures of sleep quality, duration, architecture, and sleep-disordered breathing. The authors consider the directionality of the associations observed in prospective and cross-sectional studies, exploring whether sleep disturbances precede cognitive decline or vice versa. Furthermore, they discuss the potential bidirectional relationships between sleep and Alzheimer's disease (AD) risks in older adults while also examining the neurodegenerative pathways of this relationship. EXPERT OPINION Routine sleep monitoring in primary care settings has the potential to bolster early detection and treatment of sleep disturbance, and by extension, reduce the risk of dementia. Improving sleep assessment tools, such as wearables, provide scalable alternatives to traditional methods like polysomnography, potentially enabling widespread monitoring of sleep characteristics. Standardized measurement and inclusive participant recruitment are needed to enhance generalizability, while longitudinal studies are essential to understand the interaction between sleep and AD pathology.
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Affiliation(s)
- Aren Tucker
- Brain Aging and Mental Health Division, New York State Psychiatric Institute, New York, NY, USA
| | - Terry E Goldberg
- Brain Aging and Mental Health Division, New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Psychology, New York, NY, USA
- Department of Anesthisiology, Columbia University Irving Medical Psychology, New York, NY, USA
| | - Hyun Kim
- Brain Aging and Mental Health Division, New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Columbia University Irving Medical Psychology, New York, NY, USA
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22
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Nguyen Ho PT, Hoepel SJW, Rodriguez-Ayllon M, Luik AI, Vernooij MW, Neitzel J. Sleep, 24-Hour Activity Rhythms, and Subsequent Amyloid-β Pathology. JAMA Neurol 2024; 81:824-834. [PMID: 38913396 PMCID: PMC11197458 DOI: 10.1001/jamaneurol.2024.1755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/15/2024] [Indexed: 06/25/2024]
Abstract
Importance Sleep disturbances are common among older adults and have been associated with the development of Alzheimer disease (AD), such as amyloid-β (Aβ) pathology. For effective AD prevention, it is essential to pinpoint the specific disturbances in sleep and the underlying 24-hour activity rhythms that confer the highest risk of Aβ deposition. Objective To determine the associations of 24-hour activity rhythms and sleep with Aβ deposition in adults without dementia, to evaluate whether disrupted 24-hour activity and sleep may precede Aβ deposition, and to assess the role of the apolipoprotein E ε4 (APOE4) genotype. Design, Setting, and Participants This was an observational cohort study using data from the Rotterdam Study. Of 639 participants without dementia who underwent Aβ positron emission tomography (PET) from September 2018 to November 2021, 319 were included in the current study. Exclusion criteria were no APOE genotyping and no valid actigraphy data at the baseline visits from 2004 to 2006 or from 2012 to 2014. The mean (SD) follow-up was 7.8 (2.4) years. Data were analyzed from March 2023 to April 2024. Exposures Actigraphy (7 days and nights, objective sleep, and 24-hour activity rhythms), sleep diaries (self-reported sleep), Aβ42/40, phosphorylated tau (p-tau)181 and p-tau217 plasma assays, 18F-florbetaben PET (mean standard uptake value ratio [SUVR] in a large cortical region of interest), and APOE4 genotype. Main Outcomes and Measures Association of objective and self-reported sleep and 24-hour activity rhythms at baseline with brain Aβ PET burden at follow-up. Results The mean (range) age in the study population was 61.5 (48-80) years at baseline and 69.2 (60-88) years at follow-up; 150 (47%) were women. Higher intradaily variability at baseline, an indicator of fragmented 24-hour activity rhythms, was associated with higher Aβ PET burden at follow-up (β, 0.15; bootstrapped 95% CI, 0.04 to 0.26; bootstrapped P = .02, false discovery rate [FDR] P = .048). APOE genotype modified this association, which was stronger in APOE4 carriers (β, 0.38; bootstrapped 95% CI, 0.05 to 0.64; bootstrapped P = .03) compared to noncarriers (β, 0.07; bootstrapped 95% CI, -0.04 to 0.18; bootstrapped P = .19). The findings remained largely similar after excluding participants with AD pathology at baseline, suggesting that a fragmented 24-hour activity rhythm may have preceded Aβ deposition. No other objective or self-reported measure of sleep was associated with Aβ. Conclusions and Relevance Among community-dwelling adults included in this study, higher fragmentation of the 24-hour activity rhythms was associated with greater subsequent Aβ burden, especially in APOE4 carriers. These results suggest that rest-activity fragmentation could represent a modifiable risk factor for AD.
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Affiliation(s)
- Phuong Thuy Nguyen Ho
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Sanne J. W. Hoepel
- Department of Epidemiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Maria Rodriguez-Ayllon
- Department of Epidemiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
- Trimbos Institute—the Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Meike W. Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Centre, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Julia Neitzel
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Centre, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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23
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Buckley RJ, Innes CRH, Kelly PT, Hlavac MC, Beckert L, Melzer TR, Jones RD. Cerebral perfusion is not impaired in persons with moderate obstructive sleep apnoea when awake. Sleep Breath 2024; 28:1609-1616. [PMID: 38717716 DOI: 10.1007/s11325-024-03048-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 04/22/2024] [Accepted: 04/29/2024] [Indexed: 08/07/2024]
Abstract
PURPOSE It is well established that, together with a multitude of other adverse effects on health, severe obstructive sleep apnoea causes reduced cerebral perfusion and, in turn, reduced cerebral function. Less clear is the impact of moderate obstructive sleep apnoea (OSA). Our aim was to determine if cerebral blood flow is impaired in people diagnosed with moderate OSA. METHODS Twenty-four patients diagnosed with moderate OSA (15 ≤ apnoea-hypopnea index (AHI) < 30) were recruited (aged 32-72, median 59 years, 10 female). Seven controls (aged 42-73 years, median 62 years, 4 female) with an AHI < 5 were also recruited. The OSA status of all participants was confirmed at baseline by unattended polysomnography and they had an MRI arterial-spin-labelling scan of cerebral perfusion. RESULTS Neither global perfusion nor voxel-wise perfusion differed significantly between the moderate-OSA and control groups. We also compared the average perfusion across three regional clusters, which had been found in a previous study to have significant perfusion differences with moderate-severe OSA versus control, and found no significant difference in perfusion between the two groups. The perfusions were also very close, with means of 50.2 and 51.8 mL/100 g/min for the moderate-OSAs and controls, respectively, with a negligible effect size (Cohen's d = 0.10). CONCLUSION We conclude that cerebral perfusion is not impaired in people with moderate OSA and that cerebral flow regulatory mechanisms can cope with the adverse effects which occur in moderate OSA. This is an important factor in clinical decisions for prescription of continuous positive airway pressure therapy (CPAP).
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Affiliation(s)
- Russell J Buckley
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch, 8011, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Carrie R H Innes
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch, 8011, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Paul T Kelly
- Sleep Unit, Christchurch Hospital, Christchurch, New Zealand
| | | | - Lutz Beckert
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Sleep Unit, Christchurch Hospital, Christchurch, New Zealand
| | - Tracy R Melzer
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch, 8011, New Zealand
- Department of Medicine, University of Otago, Christchurch, New Zealand
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Richard D Jones
- New Zealand Brain Research Institute, 66 Stewart Street, Christchurch, 8011, New Zealand.
- Department of Medicine, University of Otago, Christchurch, New Zealand.
- School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand.
- Department of Medical Physics & Bioengineering, Christchurch Hospital, Christchurch, New Zealand.
- Department of Electrical & Computer Engineering, University of Canterbury, Christchurch, New Zealand.
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24
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Nagayama T, Yagishita S, Shibata M, Furuno A, Saito T, Saido TC, Wakatsuki S, Araki T. Transient sleep apnea results in long-lasting increase in β-amyloid generation and tau hyperphosphorylation. Neurosci Res 2024; 205:40-46. [PMID: 38508957 DOI: 10.1016/j.neures.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 03/07/2024] [Accepted: 03/18/2024] [Indexed: 03/22/2024]
Abstract
Sleep apnea is regarded as an important risk factor in the pathogenesis of Alzheimer disease (AD). Chronic intermittent hypoxia treatment (IHT) given during the sleep period of the circadian cycle in experimental animals is a well-established sleep apnea model. Here we report that transient IHT for 4 days on AD model mice causes Aβ overproduction 2 months after IHT presumably via upregulation of synaptic BACE1, side-by-side with tau hyperphosphorylation. These results suggest that even transient IHT may be sufficient to cause long-lasting changes in the molecules measured as AD biomarkers in the brain.
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Affiliation(s)
- Takeru Nagayama
- Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan
| | - Sosuke Yagishita
- Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan
| | - Megumi Shibata
- Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan
| | - Akiko Furuno
- Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan
| | - Takashi Saito
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University Graduate School of Medical Science, Nagoya, Aichi 467-8601, Japan; Laboratory of Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Takaomi C Saido
- Laboratory of Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama 351-0198, Japan
| | - Shuji Wakatsuki
- Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan
| | - Toshiyuki Araki
- Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan.
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25
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Jacobs T, Jacobson SR, Fortea J, Berger JS, Vedvyas A, Marsh K, He T, Gutierrez-Jimenez E, Fillmore NR, Gonzalez M, Figueredo L, Gaggi NL, Plaska CR, Pomara N, Blessing E, Betensky R, Rusinek H, Zetterberg H, Blennow K, Glodzik L, Wisniweski TM, de Leon MJ, Osorio RS, Ramos-Cejudo J. The neutrophil to lymphocyte ratio associates with markers of Alzheimer's disease pathology in cognitively unimpaired elderly people. Immun Ageing 2024; 21:32. [PMID: 38760856 PMCID: PMC11100119 DOI: 10.1186/s12979-024-00435-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 04/29/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND An elevated neutrophil-lymphocyte ratio (NLR) in blood has been associated with Alzheimer's disease (AD). However, an elevated NLR has also been implicated in many other conditions that are risk factors for AD, prompting investigation into whether the NLR is directly linked with AD pathology or a result of underlying comorbidities. Herein, we explored the relationship between the NLR and AD biomarkers in the cerebrospinal fluid (CSF) of cognitively unimpaired (CU) subjects. Adjusting for sociodemographics, APOE4, and common comorbidities, we investigated these associations in two cohorts: the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the M.J. de Leon CSF repository at NYU. Specifically, we examined associations between the NLR and cross-sectional measures of amyloid-β42 (Aβ42), total tau (t-tau), and phosphorylated tau181 (p-tau), as well as the trajectories of these CSF measures obtained longitudinally. RESULTS A total of 111 ADNI and 190 NYU participants classified as CU with available NLR, CSF, and covariate data were included. Compared to NYU, ADNI participants were older (73.79 vs. 61.53, p < 0.001), had a higher proportion of males (49.5% vs. 36.8%, p = 0.042), higher BMIs (27.94 vs. 25.79, p < 0.001), higher prevalence of hypertensive history (47.7% vs. 16.3%, p < 0.001), and a greater percentage of Aβ-positivity (34.2% vs. 20.0%, p = 0.009). In the ADNI cohort, we found cross-sectional associations between the NLR and CSF Aβ42 (β = -12.193, p = 0.021), but not t-tau or p-tau. In the NYU cohort, we found cross-sectional associations between the NLR and CSF t-tau (β = 26.812, p = 0.019) and p-tau (β = 3.441, p = 0.015), but not Aβ42. In the NYU cohort alone, subjects classified as Aβ + (n = 38) displayed a stronger association between the NLR and t-tau (β = 100.476, p = 0.037) compared to Aβ- subjects or the non-stratified cohort. In both cohorts, the same associations observed in the cross-sectional analyses were observed after incorporating longitudinal CSF data. CONCLUSIONS We report associations between the NLR and Aβ42 in the older ADNI cohort, and between the NLR and t-tau and p-tau in the younger NYU cohort. Associations persisted after adjusting for comorbidities, suggesting a direct link between the NLR and AD. However, changes in associations between the NLR and specific AD biomarkers may occur as part of immunosenescence.
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Affiliation(s)
- Tovia Jacobs
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
| | - Sean R Jacobson
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
- VA Boston Cooperative Studies Program, MAVERIC, VA Boston Healthcare System, Boston, MA, USA
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de La Santa Creu y Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jeffrey S Berger
- Divisions of Cardiology and Hematology, Department of Medicine, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Alok Vedvyas
- Department of Neurology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Karyn Marsh
- Department of Neurology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Tianshe He
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
| | | | - Nathanael R Fillmore
- VA Boston Cooperative Studies Program, MAVERIC, VA Boston Healthcare System, Boston, MA, USA
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Moses Gonzalez
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
| | - Luisa Figueredo
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
| | - Naomi L Gaggi
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
| | - Chelsea Reichert Plaska
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
- Nathan Kline Institute, 140 Old Orangeburg Rd, Orangeburg, NY, 10962, USA
| | - Nunzio Pomara
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
- Nathan Kline Institute, 140 Old Orangeburg Rd, Orangeburg, NY, 10962, USA
- Department of Pathology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Esther Blessing
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
| | - Rebecca Betensky
- Department of Neurology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Henry Rusinek
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
- Department of Radiology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Inst. of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute On Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, People's Republic of China
| | - Lidia Glodzik
- Department of Neurology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Thomas M Wisniweski
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA
- Department of Neurology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
- Department of Pathology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Mony J de Leon
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA
- Retired director of Center for Brain Health, New York University (NYU) Grossman School of Medicine, New York, NY, USA
| | - Ricardo S Osorio
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA.
- Nathan Kline Institute, 140 Old Orangeburg Rd, Orangeburg, NY, 10962, USA.
| | - Jaime Ramos-Cejudo
- Department of Psychiatry, New York University (NYU) Grossman School of Medicine, Division of Brain Aging, 145 East 32Nd Street, New York, NY, 10016, USA.
- VA Boston Cooperative Studies Program, MAVERIC, VA Boston Healthcare System, Boston, MA, USA.
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26
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Lui KK, Dave A, Sprecher KE, Chappel-Farley MG, Riedner BA, Heston MB, Taylor CE, Carlsson CM, Okonkwo OC, Asthana S, Johnson SC, Bendlin BB, Mander BA, Benca RM. Older adults at greater risk for Alzheimer's disease show stronger associations between sleep apnea severity in REM sleep and verbal memory. Alzheimers Res Ther 2024; 16:102. [PMID: 38725033 PMCID: PMC11080222 DOI: 10.1186/s13195-024-01446-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/01/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) increases risk for cognitive decline and Alzheimer's disease (AD). While the underlying mechanisms remain unclear, hypoxemia during OSA has been implicated in cognitive impairment. OSA during rapid eye movement (REM) sleep is usually more severe than in non-rapid eye movement (NREM) sleep, but the relative effect of oxyhemoglobin desaturation during REM versus NREM sleep on memory is not completely characterized. Here, we examined the impact of OSA, as well as the moderating effects of AD risk factors, on verbal memory in a sample of middle-aged and older adults with heightened AD risk. METHODS Eighty-one adults (mean age:61.7 ± 6.0 years, 62% females, 32% apolipoprotein E ε4 allele (APOE4) carriers, and 70% with parental history of AD) underwent clinical polysomnography including assessment of OSA. OSA features were derived in total, NREM, and REM sleep. REM-NREM ratios of OSA features were also calculated. Verbal memory was assessed with the Rey Auditory Verbal Learning Test (RAVLT). Multiple regression models evaluated the relationships between OSA features and RAVLT scores while adjusting for sex, age, time between assessments, education years, body mass index (BMI), and APOE4 status or parental history of AD. The significant main effects of OSA features on RAVLT performance and the moderating effects of AD risk factors (i.e., sex, age, APOE4 status, and parental history of AD) were examined. RESULTS Apnea-hypopnea index (AHI), respiratory disturbance index (RDI), and oxyhemoglobin desaturation index (ODI) during REM sleep were negatively associated with RAVLT total learning and long-delay recall. Further, greater REM-NREM ratios of AHI, RDI, and ODI (i.e., more events in REM than NREM) were related to worse total learning and recall. We found specifically that the negative association between REM ODI and total learning was driven by adults 60 + years old. In addition, the negative relationships between REM-NREM ODI ratio and total learning, and REM-NREM RDI ratio and long-delay recall were driven by APOE4 carriers. CONCLUSION Greater OSA severity, particularly during REM sleep, negatively affects verbal memory, especially for people with greater AD risk. These findings underscore the potential importance of proactive screening and treatment of REM OSA even if overall AHI appears low.
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Affiliation(s)
- Kitty K Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Kate E Sprecher
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Miranda G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Brady A Riedner
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Margo B Heston
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Chase E Taylor
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Cynthia M Carlsson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ozioma C Okonkwo
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Department of Cognitive Sciences, University of California, Irvine, CA, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, USA.
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Tian Q, Sun J, Li X, Liu J, Zhou H, Deng J, Li J. Association between sleep apnoea and risk of cognitive impairment and Alzheimer's disease: a meta-analysis of cohort-based studies. Sleep Breath 2024; 28:585-595. [PMID: 37857768 DOI: 10.1007/s11325-023-02934-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/19/2023] [Accepted: 09/29/2023] [Indexed: 10/21/2023]
Abstract
PURPOSE To provide updated evidence on the association of obstructive sleep apnoea (OSA)/sleep-disordered breathing (SDB) with risk of all-cause cognitive impairment/dementia and Alzheimer's disease (AD). METHODS A systematic literature search was done in PubMed, EMBASE and Scopus databases for cohort studies (retrospective or prospective) that documented the association of SDB/OSA with the risk of cognitive impairment or all-cause dementia or AD. Only studies that were published in the year 2000 and onwards were included. The random-effects model was used for all the analyses and effect sizes were reported as hazards ratio (HR) with 95% confidence intervals. RESULTS Of 15 studies were included in the meta-analysis, SDB/OSA was diagnosed with at-home polysomnography in six studies, while five studies relied on self-report or questionnaires. In the remaining studies, International Classification of Diseases (ICD) codes determined the diagnosis of SDB. The overall pooled analysis showed that patients with SDB/OSA had higher risk of cognitive impairment and/or all-cause dementia (HR 1.52, 95% CI: 1.32, 1.74), when compared to patients without SDB/OSA. However, when studies with diagnosis of SDB based on polysomnography were pooled together, the strength of association for all-cause cognitive impairment was weaker (HR 1.32, 95% CI: 1.00, 1.74). CONCLUSION Findings suggest a possible association of SDB/OSA with risk of all-cause cognitive impairment and/or dementia. However, careful interpretation is warranted as the majority of the studies did not rely on objective assessment based on polysomnography.
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Affiliation(s)
- Qianqian Tian
- Department of Neurology, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Weifang, Shandong, China
| | - Jiadong Sun
- Department of Neurology, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Weifang, Shandong, China
| | - Xuemei Li
- Department of Neurology, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Weifang, Shandong, China
| | - Junling Liu
- Department of Neurology, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Weifang, Shandong, China
| | - Hao Zhou
- Department of Neurology, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Weifang, Shandong, China
| | - Jian Deng
- Department of Neurology, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Weifang, Shandong, China
| | - Jie Li
- Department of Neurology, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Weifang, Shandong, China.
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Okuno K, Wang L, Almeida FR. Focus of dental sleep medicine on obstructive sleep apnea in older adults: A narrative review. J Prosthodont Res 2024; 68:227-236. [PMID: 37648523 DOI: 10.2186/jpr.jpr_d_23_00047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
PURPOSE To review dental sleep medicine in older adults based on the literature. STUDY SELECTION This narrative review focuses on sleep physiology, common sleep disorders, and obstructive sleep apnea (OSA) in older adults and their management. RESULTS Sleep physiology differs between older and younger adults, with sleep disturbances occurring more frequently in older adults. The prevalence of insomnia increases in older adults due to age-related changes in sleep physiology. Insomnia, sleep-disordered breathing, periodic limb movement disorder, restless legs syndrome, and rapid eye movement (REM) sleep behavior disorder are common sleep disorders in older adults. OSA is more prevalent in older adults, and its effects on them are considered more substantial than those on younger adults. The treatment of older patients with mandibular advancement devices may be less effective and more complex owing to potential impairments in oral and dental health. Furthermore, the prevalence of edentulism in older adults is decreasing while life expectancy is increasing. CONCLUSIONS As older adults have comorbidities that affect sleep quality, dentists should consider the effects of sleep physiology and sleep disorders in these patients. OSA may decrease the quality of life and increase the risk of developing other diseases. Therefore, dentists proposing treatment with mandibular advancement devices need to inform patients of their potential lack of efficacy and the requirement for careful follow-up owing to known and unknown side effects.
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Affiliation(s)
- Kentaro Okuno
- Department of Geriatric Dentistry, Osaka Dental University, Hirakata, Japan
- Center for Dental Sleep Medicine, Osaka Dental University Hospital, Osaka, Japan
| | - Liqin Wang
- Department of Geriatric Dentistry, Osaka Dental University, Hirakata, Japan
| | - Fernanda R Almeida
- Department of Oral Health Sciences, Faculty of Dentistry, The University of British Columbia, Vancouver, Canada
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Kim RT, Zhou L, Li Y, Krieger AC, Nordvig AS, Butler T, de Leon MJ, Chiang GC. Impaired sleep is associated with tau deposition on 18F-flortaucipir PET and accelerated cognitive decline, accounting for medications that affect sleep. J Neurol Sci 2024; 458:122927. [PMID: 38341949 PMCID: PMC10947806 DOI: 10.1016/j.jns.2024.122927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/06/2024] [Accepted: 02/06/2024] [Indexed: 02/13/2024]
Abstract
BACKGROUND Impaired sleep is commonly associated with Alzheimer's disease (AD), although the underlying mechanisms remain unclear. Furthermore, the moderating effects of sleep-affecting medications, which have been linked to AD pathology, are incompletely characterized. Using data from the Alzheimer's Disease Neuroimaging Initiative, we investigated whether a medical history of impaired sleep, informant-reported nighttime behaviors, and sleep-affecting medications are associated with beta-amyloid and tau deposition on PET and cognitive change, cross-sectionally and longitudinally. METHODS We included 964 subjects with 18F-florbetapir PET scans. Measures of sleep impairment and medication use were obtained from medical histories and the Neuropsychiatric Inventory Questionnaire. Multivariate models, adjusted for covariates, were used to assess associations among sleep-related features, beta-amyloid and tau, and cognition. Cortical tau deposition, categorized by Braak stage, was assessed using the standardized uptake value peak alignment (SUVP) method on 18F-flortaucipir PET. RESULTS Medical history of sleep impairment was associated with greater baseline tau in the meta-temporal, Braak 1, and Braak 4 regions (p = 0.04, p < 0.001, p = 0.025, respectively). Abnormal nighttime behaviors were also associated with greater baseline tau in the meta-temporal region (p = 0.024), and greater cognitive impairment, cross-sectionally (p = 0.007) and longitudinally (p < 0.001). Impaired sleep was not associated with baseline beta-amyloid (p > 0.05). Short-term use of selective serotonin reuptake inhibitors and benzodiazepines slightly weakened the sleep-tau relationship. CONCLUSIONS Sleep impairment was associated with tauopathy and cognitive decline, which could be linked to increased tau secretion from neuronal hyperactivity. Clinically, our results help identify high-risk individuals who could benefit from sleep-related interventions aimed to delay cognitive decline and AD.
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Affiliation(s)
- Ryan T Kim
- From the Department of Stem Cell and Regenerative Biology, Harvard University, Bauer-Sherman Fairchild Complex 7 Divinity Avenue, Cambridge, MA 02138, United States of America.
| | - Liangdong Zhou
- From the Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61(st) Street, New York, NY 10065, United States of America.
| | - Yi Li
- From the Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61(st) Street, New York, NY 10065, United States of America.
| | - Ana C Krieger
- From the Departments of Medicine and Neurology, Division of Sleep Neurology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 425 E 61st St., 5th Floor, New York, NY 10065, United States of America.
| | - Anna S Nordvig
- From the Department of Neurology, Alzheimer's Disease and Memory Disorders Program, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 428 East 72(nd) Street Suite 500, New York, NY 10021, United States of America.
| | - Tracy Butler
- From the Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61(st) Street, New York, NY 10065, United States of America.
| | - Mony J de Leon
- From the Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61(st) Street, New York, NY 10065, United States of America.
| | - Gloria C Chiang
- From the Department of Radiology, Brain Health Imaging Institute, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 407 E 61(st) Street, New York, NY 10065, United States of America; From the Department of Radiology, Division of Neuroradiology, Weill Cornell Medicine, NewYork-Presbyterian Hospital, 525 East 68th Street, Starr Pavilion, Box 141, New York, NY 10065, United States of America.
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Jacobs T, Jacobson SR, Fortea J, Berger JS, Vedvyas A, Marsh K, He T, Gutierrez-Jimenez E, Fillmore NR, Bubu OM, Gonzalez M, Figueredo L, Gaggi NL, Plaska CR, Pomara N, Blessing E, Betensky R, Rusinek H, Zetterberg H, Blennow K, Glodzik L, Wisniewski TM, Leon MJ, Osorio RS, Ramos-Cejudo J. The neutrophil to lymphocyte ratio associates with markers of Alzheimer's disease pathology in cognitively unimpaired elderly people. RESEARCH SQUARE 2024:rs.3.rs-4076789. [PMID: 38559231 PMCID: PMC10980096 DOI: 10.21203/rs.3.rs-4076789/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Background An elevated neutrophil-lymphocyte ratio (NLR) in blood has been associated with Alzheimer's disease (AD). However, an elevated NLR has also been implicated in many other conditions that are risk factors for AD, prompting investigation into whether the NLR is directly linked with AD pathology or a result of underlying comorbidities. Herein, we explored the relationship between the NLR and AD biomarkers in the cerebrospinal fluid (CSF) of cognitively unimpaired (CU) subjects. Adjusting for sociodemographics, APOE4, and common comorbidities, we investigated these associations in two cohorts: the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the M.J. de Leon CSF repository at NYU. Specifically, we examined associations between the NLR and cross-sectional measures of amyloid-β42 (Aβ42), total tau (t-tau), and phosphorylated tau181 (p-tau), as well as the trajectories of these CSF measures obtained longitudinally. Results A total of 111 ADNI and 190 NYU participants classified as CU with available NLR, CSF, and covariate data were included. Compared to NYU, ADNI participants were older (73.79 vs. 61.53, p < 0.001), had a higher proportion of males (49.5% vs. 36.8%, p = 0.042), higher BMIs (27.94 vs. 25.79, p < 0.001), higher prevalence of hypertensive history (47.7% vs. 16.3%, p < 0.001), and a greater percentage of Aβ-positivity (34.2% vs. 20.0%, p = 0.009). In the ADNI cohort, we found cross-sectional associations between the NLR and CSF Aβ42 (β=-12.193, p = 0.021), but not t-tau or p-tau. In the NYU cohort, we found cross-sectional associations between the NLR and CSF t-tau (β = 26.812, p = 0.019) and p-tau (β = 3.441, p = 0.015), but not Aβ42. In the NYU cohort alone, subjects classified as Aβ+ (n = 38) displayed a stronger association between the NLR and t-tau (β = 100.476, p = 0.037) compared to Aβ- subjects or the non-stratified cohort. In both cohorts, the same associations observed in the cross-sectional analyses were observed after incorporating longitudinal CSF data. Conclusions We report associations between the NLR and Aβ42 in the older ADNI cohort, and between the NLR and t-tau and p-tau181 in the younger NYU cohort. Associations persisted after adjusting for comorbidities, suggesting a direct link between the NLR and AD. However, changes in associations between the NLR and specific AD biomarkers may occur as part of immunosenescence.
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Affiliation(s)
- Tovia Jacobs
- New York University (NYU) Grossman School of Medicine
| | | | - Juan Fortea
- Hospital de la Santa Creu y Sant Pau, Universitat Autònoma de Barcelona
| | | | - Alok Vedvyas
- New York University (NYU) Grossman School of Medicine
| | - Karyn Marsh
- New York University (NYU) Grossman School of Medicine
| | - Tianshe He
- New York University (NYU) Grossman School of Medicine
| | | | | | | | | | | | - Naomi L Gaggi
- New York University (NYU) Grossman School of Medicine
| | | | - Nunzio Pomara
- New York University (NYU) Grossman School of Medicine
| | | | | | - Henry Rusinek
- New York University (NYU) Grossman School of Medicine
| | | | | | | | | | - Mony J Leon
- New York University (NYU) Grossman School of Medicine
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Xiao X, Rui Y, Jin Y, Chen M. Relationship of Sleep Disorder with Neurodegenerative and Psychiatric Diseases: An Updated Review. Neurochem Res 2024; 49:568-582. [PMID: 38108952 DOI: 10.1007/s11064-023-04086-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 12/19/2023]
Abstract
Sleep disorders affect many people worldwide and can accompany neurodegenerative and psychiatric diseases. Sleep may be altered before the clinical manifestations of some of these diseases appear. Moreover, some sleep disorders affect the physiological organization and function of the brain by influencing gene expression, accelerating the accumulation of abnormal proteins, interfering with the clearance of abnormal proteins, or altering the levels of related hormones and neurotransmitters, which can cause or may be associated with the development of neurodegenerative and psychiatric diseases. However, the detailed mechanisms of these effects are unclear. This review mainly focuses on the relationship between and mechanisms of action of sleep in Alzheimer's disease, depression, and anxiety, as well as the relationships between sleep and Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. This summary of current research hotspots may provide researchers with better clues and ideas to develop treatment solutions for neurodegenerative and psychiatric diseases associated with sleep disorders.
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Affiliation(s)
- Xiao Xiao
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yimin Rui
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yu Jin
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Ming Chen
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 699] [Impact Index Per Article: 699.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Astara K, Tsimpolis A, Kalafatakis K, Vavougios GD, Xiromerisiou G, Dardiotis E, Christodoulou NG, Samara MT, Lappas AS. Sleep disorders and Alzheimer's disease pathophysiology: The role of the Glymphatic System. A scoping review. Mech Ageing Dev 2024; 217:111899. [PMID: 38163471 DOI: 10.1016/j.mad.2023.111899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is highly intertwined with sleep disturbances throughout its whole natural history. Sleep consists of a major compound of the functionality of the glymphatic system, as the synchronized slow-wave activity during NREM facilitates cerebrospinal and interstitial long-distance mixing. OBJECTIVE The present study undertakes a scoping review of research on the involvement of the glymphatic system in AD-related sleep disturbances. DESIGN we searched Medline, Embase, PsychInfo and HEAL-link databases, without limitations on date and language, along with reference lists of relevant reviews and all included studies. We included in vivo, in vitro and post-mortem studies examining glymphatic implications of sleep disturbances in human populations with AD spectrum pathology. A thematic synthesis of evidence based on the extracted content was applied and presented in a narrative way. RESULTS In total, 70 original research articles were included and were grouped as following: a) Protein aggregation and toxicity, after sleep deprivation, along with its effects on sleep architecture, b) Glymphatic Sequalae in SDB, yielding potential glymphatic markers c) Circadian Dysregulation, d) Possible Interventions. CONCLUSIONS this review sought to provide insight into the role of sleep disturbances in AD pathogenesis, in the context of the glymphatic disruption.
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Affiliation(s)
- Kyriaki Astara
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece; Department of Neurology, 417 Army Equity Fund Hospital (NIMTS), Athens, Greece
| | - Alexandros Tsimpolis
- Department of Pharmacology, Medical School, University of Crete & Institute of Molecular Biology and Biotechnology, Foundation of Research and Technology Hellas, Heraklion, Crete, Greece
| | - Konstantinos Kalafatakis
- Faculty of Medicine & Dentistry (Malta campus), Queen Mary University of London, VCT 2520, Victoria, Gozo, Malta.
| | - George D Vavougios
- Department of Neurology, Faculty of Medicine, University of Cyprus, Lefkosia, Cyprus; Department of Respiratory Medicine, Faculty of Medicine, University of Thessaly, Larissa, Greece; Department of Neurology, Athens Naval Hospital, Athens, Greece
| | - Georgia Xiromerisiou
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
| | - Nikos G Christodoulou
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece; Medical School, University of Nottingham, Lenton, Nottingham, UK
| | - Myrto T Samara
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece
| | - Andreas S Lappas
- Department of Psychiatry, Faculty of Medicine, University of Thessaly, Larissa, Greece; Aneurin Bevan University Health Board, Wales, UK
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Ercolano E, Bencivenga L, Palaia ME, Carbone G, Scognamiglio F, Rengo G, Femminella GD. Intricate relationship between obstructive sleep apnea and dementia in older adults. GeroScience 2024; 46:99-111. [PMID: 37814196 PMCID: PMC10828345 DOI: 10.1007/s11357-023-00958-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/21/2023] [Indexed: 10/11/2023] Open
Abstract
Numerous evidence reports direct correlation between cognitive impairment, Alzheimer's disease and sleep disorders, in particular obstructive sleep apnea. Both obstructive sleep apnea and Alzheimer's disease are highly prevalent conditions whose incidence increases with age. Several studies demonstrate how sleep-disordered breathing may lead to poor cognition, even though the underlying mechanisms of this association remain partially unclear. According to the most recent studies, obstructive sleep apnea may be considered a modifiable risk factor for cognitive dysfunction. In the present review, the authors aim to integrate recent research examining obstructive sleep apnea and Alzheimer's disease biomarkers, also focusing on the mechanisms that support this correlation, including but not limited to the role of hypoxia and cardiovascular risk. Moreover, the potential favourable effect of obstructive sleep apnea therapy on cognitive function is discussed, to evaluate the benefits deriving from appropriate treatment of sleep-disordered breathing on cognition.
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Affiliation(s)
- Erica Ercolano
- Department of Translational Medical Sciences, University of Naples "Federico II", Via Pansini, 5, Naples, Italy
| | - Leonardo Bencivenga
- Department of Translational Medical Sciences, University of Naples "Federico II", Via Pansini, 5, Naples, Italy
| | - Maria Emiliana Palaia
- Department of Translational Medical Sciences, University of Naples "Federico II", Via Pansini, 5, Naples, Italy
| | - Giovanni Carbone
- Department of Translational Medical Sciences, University of Naples "Federico II", Via Pansini, 5, Naples, Italy
| | - Francesco Scognamiglio
- Department of Translational Medical Sciences, University of Naples "Federico II", Via Pansini, 5, Naples, Italy
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, University of Naples "Federico II", Via Pansini, 5, Naples, Italy
- Istituti Clinici Scientifici ICS Maugeri - S.P.A. - Istituti Di Ricovero E Cura a Carattere Scientifico (IRCCS) Istituto Scientifico Di Telese Terme, Telese, Italy
| | - Grazia Daniela Femminella
- Department of Translational Medical Sciences, University of Naples "Federico II", Via Pansini, 5, Naples, Italy.
- Department of Brain Sciences, Imperial College London, London, UK.
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Ferini-Strambi L, Liguori C, Lucey BP, Mander BA, Spira AP, Videnovic A, Baumann C, Franco O, Fernandes M, Gnarra O, Krack P, Manconi M, Noain D, Saxena S, Kallweit U, Randerath W, Trenkwalder C, Rosenzweig I, Iranzo A, Bradicich M, Bassetti C. Role of sleep in neurodegeneration: the consensus report of the 5th Think Tank World Sleep Forum. Neurol Sci 2024; 45:749-767. [PMID: 38087143 DOI: 10.1007/s10072-023-07232-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/26/2023] [Indexed: 01/18/2024]
Abstract
Sleep abnormalities may represent an independent risk factor for neurodegeneration. An international expert group convened in 2021 to discuss the state-of-the-science in this domain. The present article summarizes the presentations and discussions concerning the importance of a strategy for studying sleep- and circadian-related interventions for early detection and prevention of neurodegenerative diseases. An international expert group considered the current state of knowledge based on the most relevant publications in the previous 5 years; discussed the current challenges in the field of relationships among sleep, sleep disorders, and neurodegeneration; and identified future priorities. Sleep efficiency and slow wave activity during non-rapid eye movement (NREM) sleep are decreased in cognitively normal middle-aged and older adults with Alzheimer's disease (AD) pathology. Sleep deprivation increases amyloid-β (Aβ) concentrations in the interstitial fluid of experimental animal models and in cerebrospinal fluid in humans, while increased sleep decreases Aβ. Obstructive sleep apnea (OSA) is a risk factor for dementia. Studies indicate that positive airway pressure (PAP) treatment should be started in patients with mild cognitive impairment or AD and comorbid OSA. Identification of other measures of nocturnal hypoxia and sleep fragmentation could better clarify the role of OSA as a risk factor for neurodegeneration. Concerning REM sleep behavior disorder (RBD), it will be crucial to identify the subset of RBD patients who will convert to a specific neurodegenerative disorder. Circadian sleep-wake rhythm disorders (CSWRD) are strong predictors of caregiver stress and institutionalization, but the absence of recommendations or consensus statements must be considered. Future priorities include to develop and validate existing and novel comprehensive assessments of CSWRD in patients with/at risk for dementia. Strategies for studying sleep-circadian-related interventions for early detection/prevention of neurodegenerative diseases are required. CSWRD evaluation may help to identify additional biomarkers for phenotyping and personalizing treatment of neurodegeneration.
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Affiliation(s)
- Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, Università Vita-Salute San Raffaele, Milan, Italy.
| | - Claudio Liguori
- Sleep Medicine Center, University of Rome Tor Vergata, Rome, Italy
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aleksandar Videnovic
- Department of Neurology, Division of Sleep Medicine, Massachussets General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Baumann
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | | | - Oriella Gnarra
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Paul Krack
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Mauro Manconi
- Sleep Medicine Unit, Faculty of Biomedical Sciences, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Università Della Svizzera Italiana, Lugano, Switzerland
| | - Daniela Noain
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Smita Saxena
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Ulf Kallweit
- Clinical Sleep and Neuroimmunology, University Witten/Herdecke, Witten, Germany
| | | | - C Trenkwalder
- Department of Neurosurgery, Paracelsus-Elena Klinik, University Medical Center, KasselGoettingen, Germany
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, King's College London, London, UK
| | - Alex Iranzo
- Sleep Center, Neurology Service, Hospital Clinic de Barcelona, Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Matteo Bradicich
- Department of Pulmonology and Sleep Disorders Centre, University Hospital Zurich, Zurich, Switzerland
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Huang H, Zhuang Z, Wan Y, Shi J, Yuan X, Wang D, Chen S. Knowledge Structure and Emerging Trends of Mild Cognitive Impairment with Dyssomnias in Recent 20 Years: A Bibliometric Analysis via CiteSpace and VOSviewer. Behav Neurol 2024; 2024:6622212. [PMID: 38223295 PMCID: PMC10787659 DOI: 10.1155/2024/6622212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/21/2023] [Accepted: 12/12/2023] [Indexed: 01/16/2024] Open
Abstract
Background Mild cognitive impairment (MCI), an intermediate stage between normal aging and dementia, has emerged as a prominent research area in geriatric care due to its heightened propensity for progressing toward dementia. Sleep plays a pivotal role in cognitive function, with dyssomnias not only exacerbating cognitive and affective symptoms associated with neurodegenerative diseases but also contributing to disease progression. Aim This bibliometric analysis investigates the global research on MCI with dyssomnias over the past two decades, aiming to discern key findings, research domains, and emerging trends in this field. Methods In this study, a bibliometric analysis was conducted using the search terms "MCI" and "sleep". Data were extracted from the Web of Science Core Collection database, and visualization and collaborative analysis were performed using CiteSpace and VOSviewer. Results This study encompassed 546 publications from 2003 to 2023. The publication volume and citation rate consistently increased over time. Neurosciences, Clinical Neurology, and Geriatrics Gerontology emerged as the top three research fields. The Journal of Alzheimer's Disease had the highest publication count, while Sleep Medicine received the most citations. USA, China, and Italy led in publication output. Collaborative clusters among authors and institutions were identified, but cooperation between clusters was limited. Active cocited reference clusters included "obstructive sleep apnea", "possible mediating pathways", and "isolated rapid eye movement sleep behaviour disorder". The top frequently mentioned keywords, besides "MCI", were "Alzheimer's disease", "dementia", "risk factor", and "Parkinson's Disease". Notable keyword clusters spanned circadian rhythm, Parkinson's disease, MCI, dementia with Lewy body, subjective cognitive impairment, Lewy body disease, Alzheimer's disease, and dietary patterns. Conclusion The field of MCI with dyssomnias is rapidly expanding, encompassing a wide range of neurodegenerative disorders and sleep disturbances. Current research endeavors are primarily focused on elucidating the underlying pathogenesis, predicting disease progression, and developing innovative treatment strategies for individuals affected by MCI with dyssomnias.
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Affiliation(s)
- Haoyu Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China
| | - Zesen Zhuang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China
| | - Yiwen Wan
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China
| | - Jiao Shi
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China
| | - Xu Yuan
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China
| | - Dan Wang
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China
| | - Shangjie Chen
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
- Department of Rehabilitation Medicine, The Second Affiliated Hospital of Shenzhen University, Shenzhen 518101, China
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Lannon-Boran C, Hannigan C, Power JM, Lambert J, Kelly M. The effect of mindfulness-based intervention on cognitively unimpaired older adults' cognitive function and sleep quality: a systematic review and meta-analysis. Aging Ment Health 2024; 28:23-35. [PMID: 37485984 DOI: 10.1080/13607863.2023.2228255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/30/2023] [Indexed: 07/25/2023]
Abstract
Objective: This systematic review and meta-analysis aimed to investigate the effect of mindfulness-based intervention (MBI) on cognitively unimpaired older adults' cognitive function and sleep quality.Method: Studies published in English since 2010 were considered for inclusion. Databases searched were PubMed, Embase, Web of Science, and PsycInfo. We included randomized controlled trials (RCTs) with adults over 55 with no known cognitive impairment, that recorded cognitive outcomes and/or sleep quality pre- and post-intervention, and that implemented Mindfulness-Based Stress Reduction (MBSR), or an MBI closely based on MBSR protocol.Results: Seven RCTs fit the inclusion criteria, with 276 participants in MBI groups and 287 in controls. Four studies investigated mindfulness and cognitive function, two investigated mindfulness and sleep quality, and one investigated mindfulness, cognitive function, and sleep quality. Some studies were not reported in sufficient detail to be included in meta-analyses. Results of meta-analyses showed no significant differences between MBI groups vs controls on cognitive measures of executive function, free recall, and delayed recall. Meta-analysis revealed that MBI significantly improved sleep quality compared to controls.Conclusion: Given that poor sleep quality is strongly linked to increased risk of cognitive decline, further research investigating sleep quality's role in the mindfulness-cognitive function relationship in cognitively unimpaired older adults is recommended.
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Affiliation(s)
- Colm Lannon-Boran
- Department of Psychology, National College of Ireland, Dublin, Ireland
- Department of Psychology, Maynooth University, Kildare, Ireland
| | - Caoimhe Hannigan
- Department of Psychology, National College of Ireland, Dublin, Ireland
| | | | - Jonathan Lambert
- School of Computing, National College of Ireland, Dublin, Ireland
| | - Michelle Kelly
- Department of Psychology, National College of Ireland, Dublin, Ireland
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Gills JL, Bubu OM. Obstructive Sleep Apnea and Alzheimer's Disease Pathology: Is Sleep Architecture the Missing Key? J Alzheimers Dis 2024; 98:69-73. [PMID: 38363613 PMCID: PMC11851638 DOI: 10.3233/jad-231385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Impairments of the sleep architecture due to disrupted sleep in individuals with obstructive sleep apnea (OSA) may result in reduced slow wave sleep (SWS), intermittent hypoxemia, and excessive day time sleepiness- all factors that have been shown to impact Alzheimer's disease (AD) risk. In this commentary, we comment on the work by Cavuoto and colleagues in which they examine the associations between nocturnal hypoxemia or sleep disruptions (during SWS) and amyloid-β burden in individuals with OSA. We review the findings in the context of other similar studies and highlight the strengths and weaknesses of these published studies. We note the importance of examining these relationships longitudinally with a large sample size, including considering sleep health disparities, vascular components, and multiple cognitive domain tests.
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Affiliation(s)
- Joshua L. Gills
- Department of Psychiatry, Healthy Brain Aging Sleep Center,
NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health, Institute of Excellence in
Health Equity, Center for Healthful Behavior Change, NYU Grossman School of
Medicine, New York, NY, USA
| | - Omonigho M. Bubu
- Department of Psychiatry, Healthy Brain Aging Sleep Center,
NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health, Institute of Excellence in
Health Equity, Center for Healthful Behavior Change, NYU Grossman School of
Medicine, New York, NY, USA
- Department of Neurology, NYU Alzheimer’s Disease
Research Center, Center for Cognitive Neurology, NYU Grossman School of Medicine,
New York, NY, USA
- Department of Neuroscience and Physiology, NYU Neuroscience
Institute, NYU Grossman School of Medicine, New York, NY, USA
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Bransby L, Rosenich E, Maruff P, Lim YY. How Modifiable Are Modifiable Dementia Risk Factors? A Framework for Considering the Modifiability of Dementia Risk Factors. J Prev Alzheimers Dis 2024; 11:22-37. [PMID: 38230714 PMCID: PMC10995020 DOI: 10.14283/jpad.2023.119] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/06/2023] [Indexed: 01/18/2024]
Abstract
Many risk factors for dementia, identified from observational studies, are potentially modifiable. This raises the possibility that targeting key modifiable dementia risk factors may reduce the prevalence of dementia, which has led to the development of dementia risk reduction and prevention strategies, such as intervention trials or dementia prevention guidelines. However, what has rarely been considered in the studies that inform these strategies is the extent to which modifiable dementia risk factors can (1) be identified by individuals, and (2) be readily modified by individuals. Characteristics of modifiable dementia risk factors such as readiness of identification and targeting, as well as when they should be targeted, can influence the design, or success of strategies for reducing dementia risk. This review aims to develop a framework for classifying the degree of modifiability of dementia risk factors for research studies. The extent to which these modifiable dementia risk factors could be modified by an individual seeking to reduce their dementia risk is determined, as well as the resources that might be needed for both risk factor identification and modification, and whether modification may be optimal in early-life (aged <45 years), midlife (aged 45-65 years) or late-life (aged >65 years). Finally, barriers that could influence the ability of an individual to engage in risk factor modification and, ultimately, dementia risk reduction are discussed.
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Affiliation(s)
- L Bransby
- Lisa Bransby, Turner Institute for Brain and Mental Health, 18 Innovation Walk, Clayton, VIC 3800, Australia;
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Schwerthöffer D, Haselwarter T, Grimmer T. Obstructive Sleep Apnea Among Patients with Mild Cognitive Impairment. J Alzheimers Dis 2024; 100:809-823. [PMID: 38968050 DOI: 10.3233/jad-240251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024]
Abstract
Background Obstructive sleep apnea (OSA) is associated with cognitive disorders, but little is known about prevalence of co-occurring OSA and mild cognitive impairment (MCI) as well as about co-occurring OSA and Alzheimer's disease (AD). Pathophysiological models integrating OSA, cognitive deficits and neurodegeneration remain speculative. Findings in this area could contribute to the knowledge about pathophysiological processes in cognitive disorders and neurodegenerative processes, be helpful for the diagnosis of cognitive disorders and provide approaches for the treatment of cognitive disorders. Objective Examining the prevalence of OSA and patterns of cognitive deficits as well as AD biomarker profiles associated with OSA in a cohort of 104 MCI patients. Methods Assessments used include: respiratory polygraphy, The Consortium to Establish a Registry for Alzheimer's Disease Neuropsychological Battery (CERAD NB), Tau, phosphoTau181, amyloid-β-1-42/1-40, 18F-fluorodeoxyglucose positron emission tomography (F18-FDG-PET). Results Prevalence of OSA of any severity: 58,7% (Apnea Hypopnea Index (AHI)≥5/h), OSA in a moderate-to-severe extent (AHI≥15/h): 25%. Only 13.1% of MCI patients with OSA reported daytime sleepiness. MCI-OSA patients showed no specific neuropsychological pattern. Presence of OSA was not associated with specific AD biomarker profiles in the whole study group besides a positive association between AD positivity in an AD biomarker sub cohort. Conclusions OSA is highly prevalent in patients with MCI. It might often remain undiagnosed as only a small number of MCI-OSA patients report daytime sleepiness. OSA could contribute to MCI symptoms and even to AD pathology. Further research is needed to validate these findings and to investigate possible pathophysiological relationships between OSA and MCI as well as between OSA and AD.
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Affiliation(s)
- Dirk Schwerthöffer
- Department of Psychiatry and Psychotherapy, School of Medicine and Health, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- Klinik für Suchtmedizin und Psychotherapie, kbo Isar-Amper-Klinikum Region München, Haar bei München, Germany
| | - Tim Haselwarter
- Department of Psychiatry and Psychotherapy, School of Medicine and Health, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, School of Medicine and Health, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
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Yang Y, Kim WS, Michaelian JC, Lewis SJG, Phillips CL, D'Rozario AL, Chatterjee P, Martins RN, Grunstein R, Halliday GM, Naismith SL. Predicting neurodegeneration from sleep related biofluid changes. Neurobiol Dis 2024; 190:106369. [PMID: 38049012 DOI: 10.1016/j.nbd.2023.106369] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/06/2023] Open
Abstract
Sleep-wake disturbances are common in neurodegenerative diseases and may occur years before the clinical diagnosis, potentially either representing an early stage of the disease itself or acting as a pathophysiological driver. Therefore, discovering biomarkers that identify individuals with sleep-wake disturbances who are at risk of developing neurodegenerative diseases will allow early diagnosis and intervention. Given the association between sleep and neurodegeneration, the most frequently analyzed fluid biomarkers in people with sleep-wake disturbances to date include those directly associated with neurodegeneration itself, such as neurofilament light chain, phosphorylated tau, amyloid-beta and alpha-synuclein. Abnormalities in these biomarkers in patients with sleep-wake disturbances are considered as evidence of an underlying neurodegenerative process. Levels of hormonal sleep-related biomarkers such as melatonin, cortisol and orexin are often abnormal in patients with clinical neurodegenerative diseases, but their relationships with the more standard neurodegenerative biomarkers remain unclear. Similarly, it is unclear whether other chronobiological/circadian biomarkers, such as disrupted clock gene expression, are causal factors or a consequence of neurodegeneration. Current data would suggest that a combination of fluid biomarkers may identify sleep-wake disturbances that are most predictive for the risk of developing neurodegenerative disease with more optimal sensitivity and specificity.
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Affiliation(s)
- Yue Yang
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Woojin Scott Kim
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Johannes C Michaelian
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Simon J G Lewis
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia; Parkinson's Disease Research Clinic, Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia.
| | - Craig L Phillips
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia; Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - Angela L D'Rozario
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia; CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia.
| | - Pratishtha Chatterjee
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| | - Ralph N Martins
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia; School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA 6009, Australia.
| | - Ron Grunstein
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW 2109, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
| | - Glenda M Halliday
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
| | - Sharon L Naismith
- Healthy Brain Ageing Program, School of Psychology, Brain and Mind Centre & The Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia.
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Mohammadi I, Adibparsa M, Najafi A, Sehat MS, Sadeghi M. A systematic review with meta-analysis to assess Alzheimer's disease biomarkers in adults with or without obstructive sleep apnoea. Int Orthod 2023; 21:100814. [PMID: 37776696 DOI: 10.1016/j.ortho.2023.100814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/06/2023] [Accepted: 09/09/2023] [Indexed: 10/02/2023]
Abstract
INTRODUCTION The aim was to design a meta-analysis evaluating the positron emission tomography (PET) uptake and cerebrospinal fluid (CSF), circulating levels of amyloid-β (Aβ), and tau proteins OSA group versus control group, as well as the association of these biomarkers with the severity of OSA. MATERIAL AND METHODS Four databases were searched until April 17, 2023, without any restrictions. The effect sizes were the standardized mean difference (SMD) along with a 95% confidence interval (CI). RESULTS A total of 21 articles were entered into the meta-analysis. The pooled SMDs of the CSF levels in OSA adults compared to controls were: -0.82 (P=0.004) for Aβ42, -1.13 (P<0.001) for Aβ40, 0.17 (P=0.23) for p-tau, 0.04 (P=0.65) for t-tau, 0.08 (P=0.89) for Aβ42/Aβ40 ratio, and 0.81 (P=0.001) for t-tau/Aβ42 ratio. The pooled SMD for the PET uptake of Aβ burden in OSA adults compared to controls was 0.30 (P=0.03). The pooled SMDs of the circulating levels in OSA adults compared to controls were: 0.67 (P=0.002) for Aβ42, 0.11 (P=0.82) for Aβ40, 0.35 (P=0.06) for p-tau, and 1.41(P=0.005) for t-tau. The pooled SMDs for levels of Aβ42, Aβ40, total Aβ, p-tau, t-tau, and Aβ42/Aβ40 ratio in severe OSA adults compared to mild/moderate OSA adults were -0.15 (P=0.33), 0.25 (P=35), 0.04 (P=87), -2.53 (P=0.24), -0.24 (P=0.52), and -0.28 (P=0.30), respectively. CONCLUSIONS The results indicated that CSF levels of Aβ42 and Aβ40 in OSA adults were significantly lower, but the CSF level of t-tau/Aβ42 ratio and PET Aβ burden uptake in OSA adults significantly were higher than in controls.
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Affiliation(s)
- Iman Mohammadi
- Oral and Maxillofacial Surgery Department, School of Dentistry, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Mehrdad Adibparsa
- Department of Plastic Surgery, School of Medicine, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Amir Najafi
- Oral and Maxillofacial Surgery Department, School of Dentistry, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Mohammad Soroush Sehat
- Oral and Maxillofacial Surgery Department, School of Dentistry, Isfahan University of Medical Sciences, 81746-73461 Isfahan, Iran
| | - Masoud Sadeghi
- Medical Biology Research Center, Kermanshah University of Medical Sciences, 67144-15185 Kermanshah, Iran.
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Parekh A, Kam K, Wickramaratne S, Tolbert TM, Varga A, Osorio R, Andersen M, de Godoy LBM, Palombini LO, Tufik S, Ayappa I, Rapoport DM. Ventilatory Burden as a Measure of Obstructive Sleep Apnea Severity Is Predictive of Cardiovascular and All-Cause Mortality. Am J Respir Crit Care Med 2023; 208:1216-1226. [PMID: 37698405 PMCID: PMC10868353 DOI: 10.1164/rccm.202301-0109oc] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 08/21/2023] [Indexed: 09/13/2023] Open
Abstract
Rationale: The apnea-hypopnea index (AHI), used for the diagnosis of obstructive sleep apnea, captures only the frequency of respiratory events and has demonstrable limitations. Objectives: We propose a novel automated measure, termed "ventilatory burden" (VB), that represents the proportion of overnight breaths with less than 50% normalized amplitude, and we show its ability to overcome limitations of AHI. Methods: Data from two epidemiological cohorts (EPISONO [Sao Paolo Epidemiological Study] and SHHS [Sleep Heart Health Study]) and two retrospective clinical cohorts (DAYFUN; New York University Center for Brain Health) were used in this study to 1) derive the normative range of VB, 2) assess the relationship between degree of upper airway obstruction and VB, and 3) assess the relationship between VB and all-cause and cardiovascular disease (CVD) mortality with and without hypoxic burden that was derived using an in-house automated algorithm. Measurements and Main Results: The 95th percentiles of VB in asymptomatic healthy subjects across the EPISONO and the DAYFUN cohorts were 25.2% and 26.7%, respectively (median [interquartile range], VBEPISONO, 5.5 [3.5-9.7]%; VBDAYFUN, 9.8 [6.4-15.6]%). VB was associated with the degree of upper airway obstruction in a dose-response manner (VBuntreated, 31.6 [27.1]%; VBtreated, 7.2 [4.7]%; VBsuboptimally treated, 17.6 [18.7]%; VBoff-treatment, 41.6 [18.1]%) and exhibited low night-to-night variability (intraclass correlation coefficient [2,1], 0.89). VB was predictive of all-cause and CVD mortality in the SHHS cohort before and after adjusting for covariates including hypoxic burden. Although AHI was predictive of all-cause mortality, it was not associated with CVD mortality in the SHHS cohort. Conclusions: Automated VB can effectively assess obstructive sleep apnea severity, is predictive of all-cause and CVD mortality, and may be a viable alternative to the AHI.
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Affiliation(s)
- Ankit Parekh
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Korey Kam
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Sajila Wickramaratne
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Thomas M. Tolbert
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Andrew Varga
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ricardo Osorio
- Center for Brain Health, New York University Langone, New York, New York; and
| | - Monica Andersen
- Disciplina de Medicina e Biologia do Sono, Departamento de Psicobiologia, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Luciana B. M. de Godoy
- Disciplina de Medicina e Biologia do Sono, Departamento de Psicobiologia, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Luciana O. Palombini
- Disciplina de Medicina e Biologia do Sono, Departamento de Psicobiologia, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Sergio Tufik
- Disciplina de Medicina e Biologia do Sono, Departamento de Psicobiologia, Universidade Federal de São Paulo, Sao Paulo, Brazil
| | - Indu Ayappa
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - David M. Rapoport
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
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Cavaillès C, Andrews SJ, Leng Y, Chatterjee A, Daghlas I, Yaffe K. Causal Associations of Sleep Apnea with Alzheimer's Disease and Cardiovascular Disease: a Bidirectional Mendelian Randomization Analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.20.23298793. [PMID: 38045267 PMCID: PMC10690337 DOI: 10.1101/2023.11.20.23298793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Background Sleep apnea (SA) has been linked to an increased risk of dementia in numerous observational studies; whether this is driven by neurodegenerative, vascular or other mechanisms is not clear. We sought to examine the bidirectional causal relationships between SA, Alzheimer's disease (AD), coronary artery disease (CAD), and ischemic stroke using Mendelian randomization (MR). Methods Using summary statistics from four recent, large genome-wide association studies of SA (n=523,366), AD (n=64,437), CAD (n=1,165,690), and stroke (n=1,308,460), we conducted bidirectional two-sample MR analyses. Our primary analytic method was fixed-effects inverse variance weighted MR; diagnostics tests and sensitivity analyses were conducted to verify the robustness of the results. Results We identified a significant causal effect of SA on the risk of CAD (odds ratio (OR IVW ) =1.35 per log-odds increase in SA liability, 95% confidence interval (CI) =1.25-1.47) and stroke (OR IVW =1.13, 95% CI =1.01-1.25). These associations were somewhat attenuated after excluding single-nucleotide polymorphisms associated with body mass index (BMI) (OR IVW =1.26, 95% CI =1.15-1.39 for CAD risk; OR IVW =1.08, 95% CI =0.96-1.22 for stroke risk). SA was not causally associated with a higher risk of AD (OR IVW =1.14, 95% CI =0.91-1.43). We did not find causal effects of AD, CAD, or stroke on risk of SA. Conclusions These results suggest that SA increased the risk of CAD, and the identified causal association with stroke risk may be confounded by BMI. Moreover, no causal effect of SA on AD risk was found. Future studies are warranted to investigate cardiovascular pathways between sleep disorders, including SA, and dementia.
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Sen A, Tai XY. Sleep Duration and Executive Function in Adults. Curr Neurol Neurosci Rep 2023; 23:801-813. [PMID: 37957525 PMCID: PMC10673787 DOI: 10.1007/s11910-023-01309-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE OF REVIEW To review the literature examining the relationship between sleep and cognition, specifically examining the sub-domain of executive function. We explore the impact of sleep deprivation and the important question of how much sleep is required for optimal cognitive performance. We consider how other sleep metrics, such as sleep quality, may be a more meaningful measure of sleep. We then discuss the putative mechanisms between sleep and cognition followed by their contribution to developing dementia. RECENT FINDINGS Sleep duration and executive function display a quadratic relationship. This suggests an optimal amount of sleep is required for daily cognitive processes. Poor sleep efficiency and sleep fragmentation are linked with poorer executive function and increased risk of dementia during follow-up. Sleep quality may therefore be more important than absolute duration. Biological mechanisms which may underpin the relationship between sleep and cognition include brain structural and functional changes as well as disruption of the glymphatic system. Sleep is an important modifiable lifestyle factor to improve daily cognition and, possibly, reduce the risk of developing dementia. The impact of optimal sleep duration and sleep quality may have important implications for every ageing individual.
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Affiliation(s)
- Aayushi Sen
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Level 6 West Wing, Oxford, UK.
| | - Xin You Tai
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Level 6 West Wing, Oxford, UK
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Kinugawa K. Obstructive sleep apnea and dementia: A role to play? Rev Neurol (Paris) 2023; 179:793-803. [PMID: 37633736 DOI: 10.1016/j.neurol.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/04/2023] [Indexed: 08/28/2023]
Abstract
A growing number of studies, in animal models and humans, have highlighted the link between sleep and Alzheimer's disease (AD) pathophysiology. Among sleep disorders, obstructive sleep apnea (OSA) appears to be a potentially interesting comorbidity, as it is highly prevalent in the middle-aged and elderly population, often associated with some cognitive impairment, associated with an increased risk of developing cognitive decline and dementia including AD, and indeed treatable. The association between OSA and cognition varies according to the studies, but OSA is more frequent in older people with AD than those who are cognitively normal. People with OSA suffer from daytime sleepiness, impaired cognitive function and an increased risk of developing mild cognitive impairment, dementia and AD than those without OSA. Finally, the literature suggests a link between OSA and AD biomarkers. Whether screening and treating OSA could have positive impact on the levels of AD biomarkers and slow or even prevent incident dementia remain to be investigated. It therefore seems essential to understand the role of OSA in the pathophysiology of AD, as there is still no effective treatment to slow or halt its progression. At present, treating the risk factors that can promote the development and/or worsening of AD represents a promising strategy for delaying or even thwarting the onset of symptoms.
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Affiliation(s)
- K Kinugawa
- Sorbonne University, CNRS, UMR Biological Adaptation and Aging, AP-HP, Paris, France; Charles-Foix Hospital, Functional Exploration Unit for Older Patients, 94200 Ivry-sur-Seine, France.
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Dakterzada F, Benítez ID, Targa A, Carnes A, Pujol M, Jové M, Mínguez O, Vaca R, Sánchez-de-la-Torre M, Barbé F, Pamplona R, Piñol-Ripoll G. Cerebrospinal fluid lipidomic fingerprint of obstructive sleep apnoea in Alzheimer's disease. Alzheimers Res Ther 2023; 15:134. [PMID: 37550750 PMCID: PMC10408111 DOI: 10.1186/s13195-023-01278-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Obstructive sleep apnoea (OSA) has a high prevalence in patients with Alzheimer's disease (AD). Both conditions have been shown to be associated with lipid dysregulation. However, the relationship between OSA severity and alterations in lipid metabolism in the brains of patients with AD has yet to be fully elucidated. In this context, we examined the cerebrospinal fluid (CSF) lipidome of patients with suspected OSA to identify potential diagnostic biomarkers and to provide insights into the pathophysiological mechanisms underlying the effect of OSA on AD. METHODS The study included 91 consecutive AD patients who underwent overnight polysomnography (PSG) to diagnose severe OSA (apnoea-hypopnea index ≥ 30/h). The next morning, CSF samples were collected and analysed by liquid chromatography coupled to mass spectrometry in an LC-ESI-QTOF-MS/MS platform. RESULTS The CSF levels of 11 lipid species were significantly different between AD patients with (N = 38) and without (N = 58) severe OSA. Five lipids (including oxidized triglyceride OxTG(57:2) and four unknown lipids) were significantly correlated with specific PSG measures of OSA severity related to sleep fragmentation and hypoxemia. Our analyses revealed a 4-lipid signature (including oxidized ceramide OxCer(40:6) and three unknown lipids) that provided an accuracy of 0.80 (95% CI: 0.71-0.89) in the detection of severe OSA. These lipids increased the discriminative power of the STOP-Bang questionnaire in terms of the area under the curve (AUC) from 0.61 (0.50-0.74) to 0.85 (0.71-0.93). CONCLUSIONS Our results reveal a CSF lipidomic fingerprint that allows the identification of AD patients with severe OSA. Our findings suggest that an increase in central nervous system lipoxidation may be the principal mechanism underlying the association between OSA and AD.
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Affiliation(s)
- Farida Dakterzada
- Unitat Trastorns Cognitius, Cognition and Behaviour Study Group, Santa Maria University Hospital, IRBLleida, Rovira Roure No. 44, Lleida, 25198, Spain
| | - Iván D Benítez
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- Center for Biomedical Research in Respiratory Diseases Network (CIBERES), Madrid, Spain
| | - Adriano Targa
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- Center for Biomedical Research in Respiratory Diseases Network (CIBERES), Madrid, Spain
| | - Anna Carnes
- Unitat Trastorns Cognitius, Cognition and Behaviour Study Group, Santa Maria University Hospital, IRBLleida, Rovira Roure No. 44, Lleida, 25198, Spain
| | - Montse Pujol
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
| | - Mariona Jové
- Department of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida), Lleida, Spain
| | - Olga Mínguez
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
| | - Rafi Vaca
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
| | - Manuel Sánchez-de-la-Torre
- Department of Nursing and Physiotherapy, Group of Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova and Santa María, IRBLleida, Faculty of Nursing and Physiotherapy, University of Lleida, Lleida, Spain
| | - Ferran Barbé
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- Center for Biomedical Research in Respiratory Diseases Network (CIBERES), Madrid, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida), Lleida, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Cognition and Behaviour Study Group, Santa Maria University Hospital, IRBLleida, Rovira Roure No. 44, Lleida, 25198, Spain.
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André C, Kuhn E, Rehel S, Ourry V, Demeilliez-Servouin S, Palix C, Felisatti F, Champetier P, Dautricourt S, Yushkevich P, Vivien D, de La Sayette V, Chételat G, de Flores R, Rauchs G. Association of Sleep-Disordered Breathing and Medial Temporal Lobe Atrophy in Cognitively Unimpaired Amyloid-Positive Older Adults. Neurology 2023; 101:e370-e385. [PMID: 37258299 PMCID: PMC10435067 DOI: 10.1212/wnl.0000000000207421] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 04/03/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Sleep disordered breathing (SDB) has been related to amyloid deposition and an increased dementia risk. However, how SDB relates to medial temporal lobe neurodegeneration and subsequent episodic memory impairment is unclear. Our objective was to investigate the impact of amyloid positivity on the associations between SDB severity, medial temporal lobe subregions, and episodic memory performance in cognitively unimpaired older adults. METHODS Data were acquired between 2016 and 2020 in the context of the Age-Well randomized controlled trial of the Medit-Aging European project. Participants older than 65 years who were free of neurologic, psychiatric, or chronic medical diseases were recruited from the community. They completed a neuropsychological evaluation, in-home polysomnography, a Florbetapir PET, and an MRI, including a specific high-resolution assessment of the medial temporal lobe and hippocampal subfields. Multiple linear regressions were conducted to test interactions between amyloid status and SDB severity on the volume of MTL subregions, controlling for age, sex, education, and the ApoE4 status. Secondary analyses aimed at investigating the links between SDB, MTL subregional atrophy, and episodic memory performance at baseline and at a mean follow-up of 20.66 months in the whole cohort and in subgroups stratified according to amyloid status. RESULTS We included 122 cognitively intact community-dwelling older adults (mean age ± SD: 69.40 ± 3.85 years, 77 women, 26 Aβ+ individuals) in baseline analyses and 111 at follow-up. The apnea-hypopnea index interacted with entorhinal (β = -0.81, p < 0.001, pη2 = 0.19), whole hippocampal (β = -0.61, p < 0.001, pη2 = 0.10), subiculum (β = -0.56, p = 0.002, pη2 = 0.08), CA1 (β = -0.55, p = 0.002, pη2 = 0.08), and DG (β = -0.53, p = 0.003, pη2 = 0.08) volumes such that a higher sleep apnea severity was related to lower MTL subregion volumes in amyloid-positive individuals, but not in those who were amyloid negative. In the whole cohort, lower whole hippocampal (r = 0.27, p = 0.005) and CA1 (r = 0.28, p = 0.003) volumes at baseline were associated with worse episodic memory performance at follow-up. DISCUSSION Overall, we showed that SDB was associated with MTL atrophy in cognitively asymptomatic older adults engaged in the Alzheimer continuum, which may increase the risk of developing memory impairment over time. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov Identifier: NCT02977819.
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Affiliation(s)
- Claire André
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Elizabeth Kuhn
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Stéphane Rehel
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Valentin Ourry
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Solène Demeilliez-Servouin
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Cassandre Palix
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Francesca Felisatti
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Pierre Champetier
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Sophie Dautricourt
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Paul Yushkevich
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Denis Vivien
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Vincent de La Sayette
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Gaël Chételat
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Robin de Flores
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France
| | - Géraldine Rauchs
- From the Normandie Univ (C.A., E.K., S.R., V.O., S.D.-S., C.P., F.F., P.C., S.D., D.V., G.C., R.F., G.R.), UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders" NEUROPRESAGE Team, Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, France; Normandie Univ (C.A., S.R., V.O., P.C., V.L.S.), UNICAEN, PSL Université, EPHE, INSERM, CHU de Caen, GIP Cyceron, NIMH, France; Penn Image Computing and Science Laboratory (PICSL) (P.Y.), University of Pennsylvania, Philadelphia; Département de Recherche Clinique (D.V.), CHU Caen-Normandie, France; and Service de Neurologie (V.L.S.), CHU de Caen, France.
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Targa ADS, Benítez ID, Moncusí-Moix A, Dakterzada F, Minguez O, Vaca R, Dalmases M, Sanchez-de-la-Torre M, Barbé F, Piñol-Ripoll G. Breathing cessation events that compose the apnea-hypopnea index are distinctively associated with the adverse outcomes in Alzheimer's disease. Alzheimers Res Ther 2023; 15:123. [PMID: 37452339 PMCID: PMC10347810 DOI: 10.1186/s13195-023-01266-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 06/29/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Previous studies challenge the impact of obstructive sleep apnea (OSA) once patients are diagnosed with Alzheimer's disease (AD). Nevertheless, OSA recognizably disrupts sleep, and relevant associations between sleep, AD pathological markers, and cognition have been demonstrated. We aimed to further explore this, evaluating the associations between each breathing cessation event that compose the apnea-hypopnea index (AHI) and the sleep structure to finally investigate whether this was related to increased levels of AD markers and higher cognitive decline. METHODS Observational, prospective study, including consecutive patients diagnosed with mild-moderate AD. The participants were submitted to overnight polysomnography followed by a cerebrospinal fluid collection for AD pathological markers levels determination. Neuropsychological assessment was performed at baseline and after 12 months of follow-up. RESULTS The cohort was composed of 116 patients (55.2% females) with a median [p25;p75] age of 76.0 [72.0;80.0] years and an AHI of 25.9 [15.1;48.5], which was mainly defined by the presence of hypopneas and obstructive apneas. These were distinctively associated with the sleep structure, with obstructive apneas being related to arousals and sleep lightening and hypopneas being related to an increased number of arousals only. Despite having a lower frequency, mixed and central apneas also presented associations with the sleep structure, particularly increasing the time spent in the lighter sleep stages. In relation to AD pathological markers, obstructive and mixed apneas were related to an augment in neurofilament light levels while hypopneas were associated with a higher phosphorylated-tau/amyloid-beta protein ratio. Hypopneas were the most important event for an increased cognitive decline at the 12-month follow-up. CONCLUSIONS Our findings highlight the importance of a patient-centered approach, with a comprehensive and detailed analysis of the AHI to effectively predict the different outcomes and tailor the appropriate therapeutic strategies.
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Affiliation(s)
- Adriano D S Targa
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain.
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.
| | - Iván D Benítez
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Moncusí-Moix
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Farida Dakterzada
- Cognitive Disorders Unit, Clinical Neuroscience Research, Hospital Universitari Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
| | - Olga Minguez
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Rafaela Vaca
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Mireia Dalmases
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Manuel Sanchez-de-la-Torre
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Precision Medicine in Chronic Diseases, Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
| | - Ferran Barbé
- Translational Research in Respiratory Medicine (TRRM), Hospital Universitari Arnau de Vilanova-Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Gerard Piñol-Ripoll
- Cognitive Disorders Unit, Clinical Neuroscience Research, Hospital Universitari Santa Maria, Biomedical Research Institute of Lleida (IRBLleida), Lleida, Spain.
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Yeo BSY, Koh JH, Ng ACW, Loh S, See A, Seow DCC, Toh ST. The association of obstructive sleep apnea with blood and cerebrospinal fluid biomarkers of Alzheimer's dementia - A systematic review and meta-analysis. Sleep Med Rev 2023; 70:101790. [PMID: 37245474 DOI: 10.1016/j.smrv.2023.101790] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 04/19/2023] [Accepted: 05/07/2023] [Indexed: 05/30/2023]
Abstract
Alzheimer's disease (AD) is the most common type of dementia and is characterized by the aggregation of extracellular amyloid-beta and intracellular hyperphosphorylation of tau proteins. Obstructive Sleep Apnea (OSA) is associated with increased AD risk. We hypothesize that OSA is associated with higher levels of AD biomarkers. The study aims to conduct a systematic review and meta-analysis of the association between OSA and levels of blood and cerebrospinal fluid biomarkers of AD. Two authors independently searched PubMed, Embase, and Cochrane Library for studies comparing blood and cerebrospinal fluid levels of dementia biomarkers between patients with OSA and healthy controls. Meta-analyses of the standardized mean difference were conducted using random-effects models. From 18 studies with 2804 patients, meta-analysis found that cerebrospinal fluid amyloid beta-40 (SMD:-1.13, 95%CI:-1.65 to -0.60), blood total amyloid beta (SMD:0.68, 95%CI: 0.40 to 0.96), blood amyloid beta-40 (SMD:0.60, 95%CI: 0.35 to 0.85), blood amyloid beta-42 (SMD:0.80, 95%CI: 0.38 to 1.23) and blood total-tau (SMD: 0.664, 95% CI: 0.257 to 1.072, I2 = 82, p<0.01, 7 studies) were significantly higher in OSA patients compared with healthy controls. These findings suggest that OSA is associated with an elevation of some biomarkers of AD.
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Affiliation(s)
- Brian Sheng Yep Yeo
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jin Hean Koh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Adele Chin Wei Ng
- Department of Otorhinolaryngology-Head and Neck Surgery, Singapore General Hospital, Singapore
| | - Shaun Loh
- Department of Otorhinolaryngology-Head and Neck Surgery, Singapore General Hospital, Singapore; SingHealth Duke-NUS Sleep Centre, Singapore
| | - Anna See
- Department of Otorhinolaryngology-Head and Neck Surgery, Singapore General Hospital, Singapore; SingHealth Duke-NUS Sleep Centre, Singapore
| | - Dennis Chuen Chai Seow
- Department of Geriatric Medicine, Singapore General Hospital, Singapore; SingHealth Duke-NUS Centre of Memory and Cognitive Disorders, Singapore
| | - Song Tar Toh
- Department of Otorhinolaryngology-Head and Neck Surgery, Singapore General Hospital, Singapore; SingHealth Duke-NUS Sleep Centre, Singapore.
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