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Chen J, Peng G, Sun B. Alzheimer's disease and sleep disorders: A bidirectional relationship. Neuroscience 2024; 557:12-23. [PMID: 39137870 DOI: 10.1016/j.neuroscience.2024.08.008] [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: 06/16/2024] [Revised: 07/30/2024] [Accepted: 08/07/2024] [Indexed: 08/15/2024]
Abstract
Alzheimer's disease (AD) is the most prevalent dementia, pathologically featuring abnormal accumulation of amyloid-β (Aβ) and hyperphosphorylated tau, while sleep, divided into rapid eye movement sleep (REM) and nonrapid eye movement sleep (NREM), plays a key role in consolidating social and spatial memory. Emerging evidence has revealed that sleep disorders such as circadian disturbances and disruption of neuronal rhythm activity are considered as both candidate risks and consequence of AD, suggesting a bidirectional relationship between sleep and AD. This review will firstly grasp basic knowledge of AD pathogenesis, then highlight macrostructural and microstructural alteration of sleep along with AD progression, explain the interaction between accumulation of Aβ and hyperphosphorylated tau, which are two critical neuropathological processes of AD, as well as neuroinflammation and sleep, and finally introduce several methods of sleep enhancement as strategies to reduce AD-associated neuropathology. Although theories about the bidirectional relationship and relevant therapeutic methods in mice have been well developed in recent years, the knowledge in human is still limited. More studies on how to effectively ameliorate AD pathology in patients by sleep enhancement and what specific roles of sleep play in AD are needed.
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Affiliation(s)
- Junhua Chen
- Chu Kochen Honors College of Zhejiang University, Hangzhou, Zhejiang 310058, China.
| | - Guoping Peng
- Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China.
| | - Binggui Sun
- Department of Anesthesiology of the Children's Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine and National Clinical Research Center for Child Health, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, Zhejiang University Hangzhou, Zhejiang Province 310058, China.
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2
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Dias I, Kollarik S, Siegel M, Baumann CR, Moreira CG, Noain D. Novel murine closed-loop auditory stimulation paradigm elicits macrostructural sleep benefits in neurodegeneration. J Sleep Res 2024:e14316. [PMID: 39223830 DOI: 10.1111/jsr.14316] [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: 02/09/2024] [Revised: 07/05/2024] [Accepted: 07/29/2024] [Indexed: 09/04/2024]
Abstract
Boosting slow-wave activity (SWA) by modulating slow waves through closed-loop auditory stimulation (CLAS) might provide a powerful non-pharmacological tool to investigate the link between sleep and neurodegeneration. Here, we established mouse CLAS (mCLAS)-mediated SWA enhancement and explored its effects on sleep deficits in neurodegeneration, by targeting the up-phase of slow waves in mouse models of Alzheimer's disease (AD, Tg2576) and Parkinson's disease (PD, M83). We found that tracking a 2 Hz component of slow waves leads to highest precision of non-rapid eye movement (NREM) sleep detection in mice, and that its combination with a 30° up-phase target produces a significant 15-30% SWA increase from baseline in wild-type (WTAD) and transgenic (TGAD) mice versus a mock stimulation group. Conversely, combining 2 Hz with a 40° phase target yields a significant increase ranging 30-35% in WTPD and TGPD mice. Interestingly, these phase-target-triggered SWA increases are not genotype dependent but strain specific. Sleep alterations that may contribute to disease progression and burden were described in AD and PD lines. Notably, pathological sleep traits were rescued by mCLAS, which elicited a 14% decrease of pathologically heightened NREM sleep fragmentation in TGAD mice, accompanied by a steep decrease in microarousal events during both light and dark periods. Overall, our results indicate that model-tailored phase targeting is key to modulate SWA through mCLAS, prompting the acute alleviation of key neurodegeneration-associated sleep phenotypes and potentiating sleep regulation and consolidation. Further experiments assessing the long-term effect of mCLAS in neurodegeneration may majorly impact the establishment of sleep-based therapies.
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Affiliation(s)
- Inês Dias
- Department of Neurology, University Hospital Zurich (USZ), Schlieren, Switzerland
- Department of Health Sciences and Technology (D-HEST), ETH Zurich, Zurich, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich (UZH), Zurich, Switzerland
| | - Sedef Kollarik
- Department of Neurology, University Hospital Zurich (USZ), Schlieren, Switzerland
| | - Michelle Siegel
- Department of Neurology, University Hospital Zurich (USZ), Schlieren, Switzerland
| | - Christian R Baumann
- Department of Neurology, University Hospital Zurich (USZ), Schlieren, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich (UZH), Zurich, Switzerland
- Center of Competence Sleep and Health, University of Zurich (UZH), Zurich, Switzerland
| | - Carlos G Moreira
- Department of Neurology, University Hospital Zurich (USZ), Schlieren, Switzerland
| | - Daniela Noain
- Department of Neurology, University Hospital Zurich (USZ), Schlieren, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich (UZH), Zurich, Switzerland
- Center of Competence Sleep and Health, University of Zurich (UZH), Zurich, Switzerland
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3
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Wang T, Wang M, Wang J, Li Z, Yuan Y. Modulatory effects of low-intensity retinal ultrasound stimulation on rapid and non-rapid eye movement sleep. Cereb Cortex 2024; 34:bhae143. [PMID: 38602742 DOI: 10.1093/cercor/bhae143] [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: 01/13/2024] [Revised: 03/15/2024] [Accepted: 03/16/2024] [Indexed: 04/12/2024] Open
Abstract
Prior investigations have established that the manipulation of neural activity has the potential to influence both rapid eye movement and non-rapid eye movement sleep. Low-intensity retinal ultrasound stimulation has shown effectiveness in the modulation of neural activity. Nevertheless, the specific effects of retinal ultrasound stimulation on rapid eye movement and non-rapid eye movement sleep, as well as its potential to enhance overall sleep quality, remain to be elucidated. Here, we found that: In healthy mice, retinal ultrasound stimulation: (i) reduced total sleep time and non-rapid eye movement sleep ratio; (ii) changed relative power and sample entropy of the delta (0.5-4 Hz) in non-rapid eye movement sleep; and (iii) enhanced relative power of the theta (4-8 Hz) and reduced theta-gamma coupling strength in rapid eye movement sleep. In Alzheimer's disease mice with sleep disturbances, retinal ultrasound stimulation: (i) reduced the total sleep time; (ii) altered the relative power of the gamma band during rapid eye movement sleep; and (iii) enhanced the coupling strength of delta-gamma in non-rapid eye movement sleep and weakened the coupling strength of theta-fast gamma. The results indicate that retinal ultrasound stimulation can modulate rapid eye movement and non-rapid eye movement-related neural activity; however, it is not beneficial to the sleep quality of healthy and Alzheimer's disease mice.
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Affiliation(s)
- Teng Wang
- School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, China
| | - Mengran Wang
- School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, China
| | - Jiawei Wang
- Department of Ophthalmology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Zhen Li
- Department of Ophthalmology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Yi Yuan
- School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
- Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, China
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4
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Johnson CE, Duncan MJ, Murphy MP. Sex and Sleep Disruption as Contributing Factors in Alzheimer's Disease. J Alzheimers Dis 2024; 97:31-74. [PMID: 38007653 PMCID: PMC10842753 DOI: 10.3233/jad-230527] [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: 11/27/2023]
Abstract
Alzheimer's disease (AD) affects more women than men, with women throughout the menopausal transition potentially being the most under researched and at-risk group. Sleep disruptions, which are an established risk factor for AD, increase in prevalence with normal aging and are exacerbated in women during menopause. Sex differences showing more disrupted sleep patterns and increased AD pathology in women and female animal models have been established in literature, with much emphasis placed on loss of circulating gonadal hormones with age. Interestingly, increases in gonadotropins such as follicle stimulating hormone are emerging to be a major contributor to AD pathogenesis and may also play a role in sleep disruption, perhaps in combination with other lesser studied hormones. Several sleep influencing regions of the brain appear to be affected early in AD progression and some may exhibit sexual dimorphisms that may contribute to increased sleep disruptions in women with age. Additionally, some of the most common sleep disorders, as well as multiple health conditions that impair sleep quality, are more prevalent and more severe in women. These conditions are often comorbid with AD and have bi-directional relationships that contribute synergistically to cognitive decline and neuropathology. The association during aging of increased sleep disruption and sleep disorders, dramatic hormonal changes during and after menopause, and increased AD pathology may be interacting and contributing factors that lead to the increased number of women living with AD.
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Affiliation(s)
- Carrie E. Johnson
- University of Kentucky, College of Medicine, Department of Molecular and Cellular Biochemistry, Lexington, KY, USA
| | - Marilyn J. Duncan
- University of Kentucky, College of Medicine, Department of Neuroscience, Lexington, KY, USA
| | - M. Paul Murphy
- University of Kentucky, College of Medicine, Department of Molecular and Cellular Biochemistry, Lexington, KY, USA
- University of Kentucky, Sanders-Brown Center on Aging, Lexington, KY, USA
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Torraville SE, Flynn CM, Kendall TL, Yuan Q. Life Experience Matters: Enrichment and Stress Can Influence the Likelihood of Developing Alzheimer's Disease via Gut Microbiome. Biomedicines 2023; 11:1884. [PMID: 37509523 PMCID: PMC10377385 DOI: 10.3390/biomedicines11071884] [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: 05/22/2023] [Revised: 06/21/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Alzheimer's disease (AD) is a chronic neurodegenerative disease, characterized by the presence of β-amyloid (Aβ) plaques and neurofibrillary tangles (NFTs) formed from abnormally phosphorylated tau proteins (ptau). To date, there is no cure for AD. Earlier therapeutic efforts have focused on the clinical stages of AD. Despite paramount efforts and costs, pharmaceutical interventions including antibody therapies targeting Aβ have largely failed. This highlights the need to alternate treatment strategies and a shift of focus to early pre-clinical stages. Approximately 25-40% of AD cases can be attributed to environmental factors including chronic stress. Gut dysbiosis has been associated with stress and the pathogenesis of AD and can increase both Aβ and NFTs in animal models of the disease. Both stress and enrichment have been shown to alter AD progression and gut health. Targeting stress-induced gut dysbiosis through probiotic supplementation could provide a promising intervention to delay disease progression. In this review, we discuss the effects of stress, enrichment, and gut dysbiosis in AD models and the promising evidence from probiotic intervention studies.
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Affiliation(s)
- Sarah E Torraville
- Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL A1B 3V6, Canada
| | - Cassandra M Flynn
- Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL A1B 3V6, Canada
| | - Tori L Kendall
- Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL A1B 3V6, Canada
| | - Qi Yuan
- Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL A1B 3V6, Canada
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Lyons LC, Vanrobaeys Y, Abel T. Sleep and memory: The impact of sleep deprivation on transcription, translational control, and protein synthesis in the brain. J Neurochem 2023; 166:24-46. [PMID: 36802068 PMCID: PMC10919414 DOI: 10.1111/jnc.15787] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/20/2023]
Abstract
In countries around the world, sleep deprivation represents a widespread problem affecting school-age children, teenagers, and adults. Acute sleep deprivation and more chronic sleep restriction adversely affect individual health, impairing memory and cognitive performance as well as increasing the risk and progression of numerous diseases. In mammals, the hippocampus and hippocampus-dependent memory are vulnerable to the effects of acute sleep deprivation. Sleep deprivation induces changes in molecular signaling, gene expression and may cause changes in dendritic structure in neurons. Genome wide studies have shown that acute sleep deprivation alters gene transcription, although the pool of genes affected varies between brain regions. More recently, advances in research have drawn attention to differences in gene regulation between the level of the transcriptome compared with the pool of mRNA associated with ribosomes for protein translation following sleep deprivation. Thus, in addition to transcriptional changes, sleep deprivation also affects downstream processes to alter protein translation. In this review, we focus on the multiple levels through which acute sleep deprivation impacts gene regulation, highlighting potential post-transcriptional and translational processes that may be affected by sleep deprivation. Understanding the multiple levels of gene regulation impacted by sleep deprivation is essential for future development of therapeutics that may mitigate the effects of sleep loss.
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Affiliation(s)
- Lisa C Lyons
- Program in Neuroscience, Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Yann Vanrobaeys
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Iowa Neuroscience Institute, Iowa City, Iowa, USA
- Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, Iowa, USA
| | - Ted Abel
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
- Iowa Neuroscience Institute, Iowa City, Iowa, USA
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Drew VJ, Wang C, Kim T. Progressive sleep disturbance in various transgenic mouse models of Alzheimer's disease. Front Aging Neurosci 2023; 15:1119810. [PMID: 37273656 PMCID: PMC10235623 DOI: 10.3389/fnagi.2023.1119810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/24/2023] [Indexed: 06/06/2023] Open
Abstract
Alzheimer's disease (AD) is the leading cause of dementia. The relationship between AD and sleep dysfunction has received increased attention over the past decade. The use of genetically engineered mouse models with enhanced production of amyloid beta (Aβ) or hyperphosphorylated tau has played a critical role in the understanding of the pathophysiology of AD. However, their revelations regarding the progression of sleep impairment in AD have been highly dependent on the mouse model used and the specific techniques employed to examine sleep. Here, we discuss the sleep disturbances and general pathology of 15 mouse models of AD. Sleep disturbances covered in this review include changes to NREM and REM sleep duration, bout lengths, bout counts and power spectra. Our aim is to describe in detail the severity and chronology of sleep disturbances within individual mouse models of AD, as well as reveal broader trends of sleep deterioration that are shared among most models. This review also explores a variety of potential mechanisms relating Aβ accumulation and tau neurofibrillary tangles to the progressive deterioration of sleep observed in AD. Lastly, this review offers perspective on how study design might impact our current understanding of sleep disturbances in AD and provides strategies for future research.
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Affiliation(s)
- Victor J. Drew
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Chanung Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Tae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
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Zhang F, Niu L, Zhong R, Li S, Le W. Chronic Sleep Disturbances Alters Sleep Structure and Tau Phosphorylation in AβPP/PS1 AD Mice and Their Wild-Type Littermates. J Alzheimers Dis 2023; 92:1341-1355. [PMID: 37038814 DOI: 10.3233/jad-221048] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Background: Emerging evidence indicates that sleep disorders are the common non-cognitive symptoms of Alzheimer’s disease (AD), and they may contribute to the pathogenesis of this disease. Objective: In this study, we aim to investigate the effect of chronic sleep deprivation (CSD) on AD-related pathologies with a focus on tau phosphorylation and the underlying DNA methylation regulation. Methods: AβPPswe/PS1ΔE9 AD mice and their wild-type (WT) littermates were subjected to a two-month CSD followed by electroencephalography and electromyography recording. The mice were examined for learning and memory evaluation, then pathological, biochemical, and epigenetic assessments including western blotting, immunofluorescence, dot blotting, and bisulfite sequencing. Results: The results show that CSD caused sleep disorders shown as sleep pattern change, poor sleep maintenance, and increased sleep fragmentation. CSD increased tau phosphorylation at different sites and increased the level of tau kinases in AD and WT mice. The increased expression of cyclin-dependent kinase 5 (CDK5) may result from decreased DNA methylation of CpG sites in the promoter region of CDK5 gene, which might be associated with the downregulation of DNA methyltransferase 3A and 3B. Conclusion: CSD altered AD-related tau phosphorylation through epigenetic modification of tau kinase gene. The findings in this study may give insights into the mechanisms underlying the effects of sleep disorders on AD pathology and provide new therapeutic targets for the treatment of this disease.
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Affiliation(s)
- Feng Zhang
- Center for Clinical and Translational Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Long Niu
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Rujia Zhong
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Song Li
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Weidong Le
- Center for Clinical and Translational Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, China
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
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Associations between objectively measured sleep parameters and cognition in healthy older adults: A meta-analysis. Sleep Med Rev 2023; 67:101734. [PMID: 36577339 DOI: 10.1016/j.smrv.2022.101734] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/03/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
Multiple studies have examined associations between sleep and cognition in older adults, but a majority of these depend on self-reports on sleep and utilize cognitive tests that assess overall cognitive function. The current meta-analysis involved 72 independent studies and sought to quantify associations between objectively measured sleep parameters and cognitive performance in healthy older adults. Both sleep macrostructure (e.g., sleep duration, continuity, and stages) and microstructure (e.g., slow wave activity and spindle activity) were evaluated. For macrostructure, lower restlessness at night was associated with better memory performance (r = 0.43, p = 0.02), while lower sleep onset latency was associated with better executive functioning (r = 0.28, p = 0.03). Greater relative amount of N2 and REM sleep, but not N3, positively correlated with cognitive performance. The association between microstructure and cognition in older adults was marginally significant. This relationship was moderated by age (z = 0.07, p < 0.01), education (z = 0.26, p = 0.03), and percentage of female participants (z = 0.01, p < 0.01). The current meta-analysis emphasizes the importance of considering objective sleep measures to understand the relationship between sleep and cognition in healthy older adults. These results also form a base from which researchers using wearable sleep technology and measuring behavior through computerized testing tools can evaluate their findings.
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Mondino A, Catanzariti M, Mateos DM, Khan M, Ludwig C, Kis A, Gruen ME, Olby NJ. Sleep and cognition in aging dogs. A polysomnographic study. Front Vet Sci 2023; 10:1151266. [PMID: 37187924 PMCID: PMC10175583 DOI: 10.3389/fvets.2023.1151266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 03/17/2023] [Indexed: 05/17/2023] Open
Abstract
Introduction Sleep is fundamental for cognitive homeostasis, especially in senior populations since clearance of amyloid beta (key in the pathophysiology of Alzheimer's disease) occurs during sleep. Some electroencephalographic characteristics of sleep and wakefulness have been considered a hallmark of dementia. Owners of dogs with canine cognitive dysfunction syndrome (a canine analog to Alzheimer's disease) report that their dogs suffer from difficulty sleeping. The aim of this study was to quantify age-related changes in the sleep-wakefulness cycle macrostructure and electroencephalographic features in senior dogs and to correlate them with their cognitive performance. Methods We performed polysomnographic recordings in 28 senior dogs during a 2 h afternoon nap. Percentage of time spent in wakefulness, drowsiness, NREM, and REM sleep, as well as latency to the three sleep states were calculated. Spectral power, coherence, and Lempel Ziv Complexity of the brain oscillations were estimated. Finally, cognitive performance was evaluated by means of the Canine Dementia Scale Questionnaire and a battery of cognitive tests. Correlations between age, cognitive performance and sleep-wakefulness cycle macrostructure and electroencephalographic features were calculated. Results Dogs with higher dementia scores and with worse performance in a problem-solving task spent less time in NREM and REM sleep. Additionally, quantitative electroencephalographic analyses showed differences in dogs associated with age or cognitive performance, some of them reflecting shallower sleep in more affected dogs. Discussion Polysomnographic recordings in dogs can detect sleep-wakefulness cycle changes associated with dementia. Further studies should evaluate polysomnography's potential clinical use to monitor the progression of canine cognitive dysfunction syndrome.
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Affiliation(s)
- Alejandra Mondino
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Magaly Catanzariti
- Instituto de Matemática Aplicada del Litoral, Consejo Nacional de Investigaciones Científicas y Técninas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Diego Martin Mateos
- Instituto de Matemática Aplicada del Litoral, Consejo Nacional de Investigaciones Científicas y Técninas, Universidad Nacional del Litoral, Santa Fe, Argentina
- Physics Department, Universidad Autónoma de Entre Ríos (UADER), Oro Verde, Entre Ríos, Argentina
| | - Michael Khan
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Claire Ludwig
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Anna Kis
- Research Centre for Natural Sciences, Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary
| | - Margaret E. Gruen
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
| | - Natasha J. Olby
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States
- *Correspondence: Natasha J. Olby
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Jo Y, Lee S, Jung T, Park G, Lee C, Im GH, Lee S, Park JS, Oh C, Kook G, Kim H, Kim S, Lee BC, Suh GS, Kim S, Kim J, Lee HJ. General-Purpose Ultrasound Neuromodulation System for Chronic, Closed-Loop Preclinical Studies in Freely Behaving Rodents. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2202345. [PMID: 36259285 PMCID: PMC9731702 DOI: 10.1002/advs.202202345] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 08/20/2022] [Indexed: 05/11/2023]
Abstract
Transcranial focused ultrasound stimulation (tFUS) is an effective noninvasive treatment modality for brain disorders with high clinical potential. However, the therapeutic effects of ultrasound neuromodulation are not widely explored due to limitations in preclinical systems. The current preclinical studies are head-fixed, anesthesia-dependent, and acute, limiting clinical translatability. Here, this work reports a general-purpose ultrasound neuromodulation system for chronic, closed-loop preclinical studies in freely behaving rodents. This work uses microelectromechanical systems (MEMS) technology to design and fabricate a small and lightweight transducer capable of artifact-free stimulation and simultaneous neural recording. Using the general-purpose system, it can be observed that state-dependent ultrasound neuromodulation of the prefrontal cortex increases rapid eye movement (REM) sleep and protects spatial working memory to REM sleep deprivation. The system will allow explorative studies in brain disease therapeutics and neuromodulation using ultrasound stimulation for widespread clinical adoption.
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Affiliation(s)
- Yehhyun Jo
- School of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Sang‐Mok Lee
- School of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Taesub Jung
- Korea Brain Research Institute (KBRI)Daegu41068Republic of Korea
| | - Gijae Park
- Department of Electrical EngineeringKorea UniversitySeoul02841Republic of Korea
| | - Chanhee Lee
- Center for Neuroscience Imaging ResearchInstitute for Basic ScienceSuwon16419Republic of Korea
| | - Geun Ho Im
- Center for Neuroscience Imaging ResearchInstitute for Basic ScienceSuwon16419Republic of Korea
| | - Seongju Lee
- Department of Biological SciencesKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Jin Soo Park
- Department of Electrical EngineeringKorea UniversitySeoul02841Republic of Korea
- Creative Research Center for Brain ScienceKorea Institute of Science and Technology (KIST)Seoul02792Republic of Korea
| | - Chaerin Oh
- School of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Geon Kook
- School of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Hyunggug Kim
- School of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Seongyeon Kim
- School of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Byung Chul Lee
- Creative Research Center for Brain ScienceKorea Institute of Science and Technology (KIST)Seoul02792Republic of Korea
| | - Greg S.B. Suh
- Department of Biological SciencesKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
| | - Seong‐Gi Kim
- Center for Neuroscience Imaging ResearchInstitute for Basic ScienceSuwon16419Republic of Korea
- Department of Biomedical EngineeringSungkyunkwan UniversitySuwon16419Republic of Korea
- Department of Intelligent Precision Healthcare ConvergenceSungkyunkwan UniversitySuwon16419Republic of Korea
| | - Jeongyeon Kim
- Korea Brain Research Institute (KBRI)Daegu41068Republic of Korea
| | - Hyunjoo J. Lee
- School of Electrical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141Republic of Korea
- KAIST Institute for Health Science and Technology (KIHST)Daejeon34141Republic of Korea
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12
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Tsai CY, Wu SM, Kuan YC, Lin YT, Hsu CR, Hsu WH, Liu YS, Majumdar A, Stettler M, Yang CM, Lee KY, Wu D, Lee HC, Wu CJ, Kang JH, Liu WT. Associations between risk of Alzheimer's disease and obstructive sleep apnea, intermittent hypoxia, and arousal responses: A pilot study. Front Neurol 2022; 13:1038735. [PMID: 36530623 PMCID: PMC9747943 DOI: 10.3389/fneur.2022.1038735] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/04/2022] [Indexed: 01/30/2024] Open
Abstract
OBJECTIVES Obstructive sleep apnea (OSA) may increase the risk of Alzheimer's disease (AD). However, potential associations among sleep-disordered breathing, hypoxia, and OSA-induced arousal responses should be investigated. This study determined differences in sleep parameters and investigated the relationship between such parameters and the risk of AD. METHODS Patients with suspected OSA were recruited and underwent in-lab polysomnography (PSG). Subsequently, blood samples were collected from participants. Patients' plasma levels of total tau (T-Tau) and amyloid beta-peptide 42 (Aβ42) were measured using an ultrasensitive immunomagnetic reduction assay. Next, the participants were categorized into low- and high-risk groups on the basis of the computed product (Aβ42 × T-Tau, the cutoff for AD risk). PSG parameters were analyzed and compared. RESULTS We included 36 patients in this study, of whom 18 and 18 were assigned to the low- and high-risk groups, respectively. The average apnea-hypopnea index (AHI), apnea, hypopnea index [during rapid eye movement (REM) and non-REM (NREM) sleep], and oxygen desaturation index (≥3%, ODI-3%) values of the high-risk group were significantly higher than those of the low-risk group. Similarly, the mean arousal index and respiratory arousal index (R-ArI) of the high-risk group were significantly higher than those of the low-risk group. Sleep-disordered breathing indices, oxygen desaturation, and arousal responses were significantly associated with an increased risk of AD. Positive associations were observed among the AHI, ODI-3%, R-ArI, and computed product. CONCLUSIONS Recurrent sleep-disordered breathing, intermittent hypoxia, and arousal responses, including those occurring during the NREM stage, were associated with AD risk. However, a longitudinal study should be conducted to investigate the causal relationships among these factors.
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Affiliation(s)
- Cheng-Yu Tsai
- Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
| | - Sheng-Ming Wu
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Yi-Chun Kuan
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan
- Dementia Center, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yin-Tzu Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Chia-Rung Hsu
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Wen-Hua Hsu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yi-Shin Liu
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Arnab Majumdar
- Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
| | - Marc Stettler
- Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom
| | - Chien-Ming Yang
- Department of Psychology, National Chengchi University, Taipei, Taiwan
| | - Kang-Yun Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Dean Wu
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan
- Dementia Center, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Hsin-Chien Lee
- Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan
| | - Cheng-Jung Wu
- Department of Otolaryngology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Jiunn-Horng Kang
- Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan
- Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan
- Graduate Institute of Nanomedicine and Medical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan
| | - Wen-Te Liu
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan
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13
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Tsimpanouli ME, Ghimire A, Barget AJ, Weston R, Paulson HL, Costa MDC, Watson BO. Sleep Alterations in a Mouse Model of Spinocerebellar Ataxia Type 3. Cells 2022; 11:cells11193132. [PMID: 36231095 PMCID: PMC9563426 DOI: 10.3390/cells11193132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/20/2022] [Accepted: 09/29/2022] [Indexed: 11/16/2022] Open
Abstract
Spinocerebellar ataxia type 3 (SCA3) is a neurodegenerative disorder showing progressive neuronal loss in several brain areas and a broad spectrum of motor and non-motor symptoms, including ataxia and altered sleep. While sleep disturbances are known to play pathophysiologic roles in other neurodegenerative disorders, their impact on SCA3 is unknown. Using spectrographic measurements, we sought to quantitatively characterize sleep electroencephalography (EEG) in SCA3 transgenic mice with confirmed disease phenotype. We first measured motor phenotypes in 18-31-week-old homozygous SCA3 YACMJD84.2 mice and non-transgenic wild-type littermate mice during lights-on and lights-off periods. We next implanted electrodes to obtain 12-h (zeitgeber time 0-12) EEG recordings for three consecutive days when the mice were 26-36 weeks old. EEG-based spectroscopy showed that compared to wild-type littermates, SCA3 homozygous mice display: (i) increased duration of rapid-eye movement sleep (REM) and fragmentation in all sleep and wake states; (ii) higher beta power oscillations during REM and non-REM (NREM); and (iii) additional spectral power band alterations during REM and wake. Our data show that sleep architecture and EEG spectral power are dysregulated in homozygous SCA3 mice, indicating that common sleep-related etiologic factors may underlie mouse and human SCA3 phenotypes.
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Affiliation(s)
- Maria-Efstratia Tsimpanouli
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (M.-E.T.); (M.d.C.C.); (B.O.W.)
| | - Anjesh Ghimire
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Anna J. Barget
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ridge Weston
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Henry L. Paulson
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Maria do Carmo Costa
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (M.-E.T.); (M.d.C.C.); (B.O.W.)
| | - Brendon O. Watson
- Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence: (M.-E.T.); (M.d.C.C.); (B.O.W.)
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14
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Minakawa EN. Bidirectional Relationship Between Sleep Disturbances and Parkinson's Disease. Front Neurol 2022; 13:927994. [PMID: 35923835 PMCID: PMC9342689 DOI: 10.3389/fneur.2022.927994] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/15/2022] [Indexed: 12/01/2022] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's disease (AD). Both diseases share common clinical and pathological features: the gradual progression of neurological and psychiatric symptoms caused by neuronal dysfunction and neuronal cell death due to the accumulation of misfolded and neurotoxic proteins. Furthermore, both of them are multifactorial diseases in which both genetic and non-genetic factors contribute to the disease course. Non-genetic factors are of particular interest for the development of preventive and therapeutic approaches for these diseases because they are modifiable; of these, sleep is a particularly intriguing factor. Sleep disturbances are highly prevalent among both patients with AD and PD. To date, research has suggested that sleep disturbances are a consequence as well as a risk factor for the onset and progression of AD, which implies a bidirectional relationship between sleep and AD. Whether such a relationship exists in PD is less certain, albeit highly plausible given the shared pathomechanisms. This review examines the current evidence for the bidirectional relationship between sleep and PD. It includes research in both humans and animal models, followed by a discussion of the current understanding of the mechanisms underlying this relationship. Finally, potential avenues of research toward achieving disease modification to treat or prevent PD are proposed. Although further efforts are crucial for preventing the onset and slowing the progress of PD, it is evident that sleep is a valuable candidate target for future interventions to improve the outcomes of PD patients.
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Affiliation(s)
- Eiko N. Minakawa
- Department of Neurophysiology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Japan
- Parkinson Disease and Movement Disorder Center, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
- Sleep Disorder Center, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
- Research Center for Neurocognitive Disorders, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
- *Correspondence: Eiko N. Minakawa
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15
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Wong H, Buck JM, Borski C, Pafford JT, Keller BN, Milstead RA, Hanson JL, Stitzel JA, Hoeffer CA. RCAN1 knockout and overexpression recapitulate an ensemble of rest-activity and circadian disruptions characteristic of Down syndrome, Alzheimer's disease, and normative aging. J Neurodev Disord 2022; 14:33. [PMID: 35610565 PMCID: PMC9128232 DOI: 10.1186/s11689-022-09444-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 05/12/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Regulator of calcineurin 1 (RCAN1) is overexpressed in Down syndrome (DS), but RCAN1 levels are also increased in Alzheimer's disease (AD) and normal aging. AD is highly comorbid among individuals with DS and is characterized in part by progressive neurodegeneration that resembles accelerated aging. Importantly, abnormal RCAN1 levels have been demonstrated to promote memory deficits and pathophysiology that appear symptomatic of DS, AD, and aging. Anomalous diurnal rest-activity patterns and circadian rhythm disruptions are also common in DS, AD, and aging and have been implicated in facilitating age-related cognitive decline and AD progression. However, no prior studies have assessed whether RCAN1 dysregulation may also promote the age-associated alteration of rest-activity profiles and circadian rhythms, which could in turn contribute to neurodegeneration in DS, AD, and aging. METHODS The present study examined the impacts of RCAN1 deficiency and overexpression on the photic entrainment, circadian periodicity, intensity and distribution, diurnal patterning, and circadian rhythmicity of wheel running in young (3-6 months old) and aged (9-14 months old) mice of both sexes. RESULTS We found that daily RCAN1 levels in the hippocampus and suprachiasmatic nucleus (SCN) of light-entrained young mice are generally constant and that balanced RCAN1 expression is necessary for normal circadian locomotor activity rhythms. While the light-entrained diurnal period was unaltered, RCAN1-null and RCAN1-overexpressing mice displayed lengthened endogenous (free-running) circadian periods like mouse models of AD and aging. In light-entrained young mice, RCAN1 deficiency and overexpression also recapitulated the general hypoactivity, diurnal rest-wake pattern fragmentation, and attenuated amplitudes of circadian activity rhythms reported in DS, preclinical and clinical AD, healthily aging individuals, and rodent models thereof. Under constant darkness, RCAN1-null and RCAN1-overexpressing mice displayed altered locomotor behavior indicating circadian clock dysfunction. Using the Dp(16)1Yey/+ (Dp16) mouse model for DS, which expresses three copies of Rcan1, we found reduced wheel running activity and rhythmicity in both light-entrained and free-running young Dp16 mice like young RCAN1-overexpressing mice. Critically, these diurnal and circadian deficits were rescued in part or entirely by restoring Rcan1 to two copies in Dp16 mice. We also found that RCAN1 deficiency but not RCAN1 overexpression altered protein levels of the clock gene Bmal1 in the SCN. CONCLUSIONS Collectively, this study's findings suggest that both loss and aberrant gain of RCAN1 precipitate anomalous light-entrained diurnal and circadian activity patterns emblematic of DS, AD, and possibly aging.
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Affiliation(s)
- Helen Wong
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA
| | - Jordan M Buck
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA
| | - Curtis Borski
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA
| | - Jessica T Pafford
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA
| | - Bailey N Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA
| | - Ryan A Milstead
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA
| | - Jessica L Hanson
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA
| | - Jerry A Stitzel
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA
| | - Charles A Hoeffer
- Institute for Behavioral Genetics, University of Colorado Boulder, 1480 30th Street, Boulder, CO, 80309-0447, USA.
- Department of Integrative Physiology, University of Colorado, Boulder, CO, 80303, USA.
- Linda Crnic Institute, Anschutz Medical Campus, Aurora, CO, 80045, USA.
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16
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Duncan M, Guerriero L, Kohler K, Beechem L, Gillis B, Salisbury F, Wessel C, Wang J, Sunderam S, Bachstetter A, O’Hara B, Murphy M. Chronic Fragmentation of the Daily Sleep-Wake Rhythm Increases Amyloid-beta Levels and Neuroinflammation in the 3xTg-AD Mouse Model of Alzheimer's Disease. Neuroscience 2022; 481:111-122. [PMID: 34856352 PMCID: PMC8941625 DOI: 10.1016/j.neuroscience.2021.11.042] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 11/23/2021] [Accepted: 11/25/2021] [Indexed: 01/17/2023]
Abstract
Fragmentation of the daily sleep-wake rhythm with increased nighttime awakenings and more daytime naps is correlated with the risk of development of Alzheimer's disease (AD). To explore whether a causal relationship underlies this correlation, the present study tested the hypothesis that chronic fragmentation of the daily sleep-wake rhythm stimulates brain amyloid-beta (Aβ) levels and neuroinflammation in the 3xTg-AD mouse model of AD. Female 3xTg-AD mice were allowed to sleep undisturbed or were subjected to chronic sleep fragmentation consisting of four daily sessions of enforced wakefulness (one hour each) evenly distributed during the light phase, five days a week for four weeks. Piezoelectric sleep recording revealed that sleep fragmentation altered the daily sleep-wake rhythm to resemble the pattern observed in AD. Levels of amyloid-beta (Aβ40 and Aβ42) determined by ELISA were higher in hippocampal tissue collected from sleep-fragmented mice than from undisturbed controls. In contrast, hippocampal levels of tau and phospho-tau differed minimally between sleep fragmented and undisturbed control mice. Sleep fragmentation also stimulated neuroinflammation as shown by increased expression of markers of microglial activation and proinflammatory cytokines measured by q-RT-PCR analysis of hippocampal samples. No significant effects of sleep fragmentation on Aβ, tau, or neuroinflammation were observed in the cerebral cortex. These studies support the concept that improving sleep consolidation in individuals at risk for AD may be beneficial for slowing the onset or progression of this devastating neurodegenerative disease.
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Affiliation(s)
- M.J. Duncan
- Dept. of Neuroscience, University of Kentucky College of Medicine, Lexington, KY 40536,Co-senior authors, address correspondence to M.J. Duncan at
| | - L.E. Guerriero
- Dept. of Biology, University of Kentucky, Lexington, KY 40506
| | - K. Kohler
- Dept. of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY 40536,Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536
| | - L.E. Beechem
- Dept. of Neuroscience, University of Kentucky College of Medicine, Lexington, KY 40536
| | - B.D. Gillis
- Dept. of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY 40536
| | - F. Salisbury
- Dept. of Biology, University of Kentucky, Lexington, KY 40506
| | - C. Wessel
- Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536
| | - J. Wang
- Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506
| | - S. Sunderam
- Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506
| | - A.D. Bachstetter
- Dept. of Neuroscience, University of Kentucky College of Medicine, Lexington, KY 40536,Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536,Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY 40536
| | - B.F. O’Hara
- Dept. of Biology, University of Kentucky, Lexington, KY 40506
| | - M.P. Murphy
- Dept. of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, Lexington, KY 40536,Sanders-Brown Center on Aging and Alzheimer’s Disease Center, University of Kentucky College of Medicine, Lexington, KY 40536,Co-senior authors, address correspondence to M.J. Duncan at
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17
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Nick H, Fenik P, Zhu Y, Veasey S. Hypocretin/orexin influences chronic sleep disruption injury in the hippocampus. Front Aging Neurosci 2022; 14:1025402. [PMID: 36275002 PMCID: PMC9582517 DOI: 10.3389/fnagi.2022.1025402] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 09/20/2022] [Indexed: 01/13/2023] Open
Abstract
Chronic sleep disruption is a risk factor for Alzheimer's disease (AD), yet mechanisms by which sleep disturbances might promote or exacerbate AD are not understood. Short-term sleep loss acutely increases hippocampal amyloid β (Aβ) in wild type (WT) mice and long-term sleep loss increases amyloid plaque in AD transgenic mouse models. Both effects can be influenced by the wake-promoting neuropeptide, hypocretin (HCRT), but whether HCRT influences amyloid accumulation independent of sleep and wake timing modulation remains unclear. Here, we induced chronic fragmentation of sleep (CFS) in WT and HCRT-deficient mice to elicit similar arousal indices, sleep bout lengths and sleep bout numbers in both genotypes. We then examined the roles of HCRT in CFS-induced hippocampal Aβ accumulation and injury. CFS in WT mice resulted in increased Aβ42 in the hippocampus along with loss of cholinergic projections and loss of locus coeruleus neurons. Mice with HCRT deficiency conferred resistance to CFS Aβ42 accumulation and loss of cholinergic projections in the hippocampus yet evidenced similar CFS-induced loss of locus coeruleus neurons. Collectively, the findings demonstrate specific roles for orexin in sleep disruption hippocampal injury. Significance statement Chronic fragmentation of sleep (CFS) occurs in common conditions, including sleep apnea syndromes and chronic pain disorders, yet CFS can induce neural injury. Our results demonstrate that under conditions of sleep fragmentation, hypocretin/orexin is essential for the accumulation of amyloid-β and loss of cholinergic projections in the hippocampus observed in response to CFS yet does not influence locus coeruleus neuron response to CFS.
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Affiliation(s)
- Henry Nick
- Department of Medicine and the Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, United States
| | - Polina Fenik
- Department of Medicine and the Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, United States
| | - Yan Zhu
- Department of Medicine and the Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, United States
| | - Sigrid Veasey
- Department of Medicine and the Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania Philadelphia, Philadelphia, PA, United States
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18
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Kuang H, Zhu YG, Zhou ZF, Yang MW, Hong FF, Yang SL. Sleep disorders in Alzheimer's disease: the predictive roles and potential mechanisms. Neural Regen Res 2021; 16:1965-1972. [PMID: 33642368 PMCID: PMC8343328 DOI: 10.4103/1673-5374.308071] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/12/2020] [Accepted: 12/17/2020] [Indexed: 12/15/2022] Open
Abstract
Sleep disorders are common in patients with Alzheimer's disease, and can even occur in patients with amnestic mild cognitive impairment, which appears before Alzheimer's disease. Sleep disorders further impair cognitive function and accelerate the accumulation of amyloid-β and tau in patients with Alzheimer's disease. At present, sleep disorders are considered as a risk factor for, and may be a predictor of, Alzheimer's disease development. Given that sleep disorders are encountered in other types of dementia and psychiatric conditions, sleep-related biomarkers to predict Alzheimer's disease need to have high specificity and sensitivity. Here, we summarize the major Alzheimer's disease-specific sleep changes, including abnormal non-rapid eye movement sleep, sleep fragmentation, and sleep-disordered breathing, and describe their ability to predict the onset of Alzheimer's disease at its earliest stages. Understanding the mechanisms underlying these sleep changes is also crucial if we are to clarify the role of sleep in Alzheimer's disease. This paper therefore explores some potential mechanisms that may contribute to sleep disorders, including dysregulation of the orexinergic, glutamatergic, and γ-aminobutyric acid systems and the circadian rhythm, together with amyloid-β accumulation. This review could provide a theoretical basis for the development of drugs to treat Alzheimer's disease based on sleep disorders in future work.
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Affiliation(s)
- Huang Kuang
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
| | - Yu-Ge Zhu
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
| | - Zhi-Feng Zhou
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
| | - Mei-Wen Yang
- Department of Nurse, Nanchang University Hospital, Nanchang, Jiangxi Province, China
| | - Fen-Fang Hong
- Department of Experimental Teaching Center, Nanchang University, Nanchang, Jiangxi Province, China
| | - Shu-Long Yang
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
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19
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Yuan Y, Li C, Guo S, Sun C, Ning N, Hao H, Wang L, Bian Y, Liu H, Wang X. Adiponectin improves amyloid-β 31-35-induced circadian rhythm disorder in mice. J Cell Mol Med 2021; 25:9851-9862. [PMID: 34523794 PMCID: PMC8505833 DOI: 10.1111/jcmm.16932] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/22/2021] [Accepted: 09/01/2021] [Indexed: 12/14/2022] Open
Abstract
Adiponectin is an adipocyte‐derived hormone, which is closely associated with the development of Alzheimer's disease (AD) and has potential preventive and therapeutic significance. In the present study, we explored the relationship between adiponectin and circadian rhythm disorder in AD, the effect of adiponectin on the abnormal expression of Bmal1 mRNA/protein induced by amyloid‐β protein 31‐35 (Aβ31‐35), and the underlying mechanism of action. We found that adiponectin‐knockout mice exhibited amyloid‐β deposition, circadian rhythm disorders and abnormal expression of Bmal1. Adiponectin ameliorated the abnormal expression of the Bmal1 mRNA/protein caused by Aβ31‐35 by inhibiting the activity of glycogen synthase kinase 3β (GSK3β). These results suggest that adiponectin deficiency could induce circadian rhythm disorders and abnormal expression of the Bmal1 mRNA/protein, whilst exogenous administration of adiponectin may improve Aβ31‐35‐induced abnormal expression of Bmal1 by inhibiting the activity of GSK3β, thus providing a novel idea for the treatment of AD.
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Affiliation(s)
- Yuan Yuan
- Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, China.,Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, China
| | - Chen Li
- Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, China
| | - Shuai Guo
- Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, China
| | - Cong Sun
- Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, China
| | - Na Ning
- Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, China
| | - Haihu Hao
- Department of Orthopedics, Shanxi Bethune Hospital & Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Li Wang
- Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, China.,Department of Pathology, Shanxi Medical University, Taiyuan, China
| | - Yunfei Bian
- Department of Cardiology, The Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Huirong Liu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Xiaohui Wang
- Basic Medical Sciences Center, Shanxi Medical University, Taiyuan, China.,Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, China.,Department of Pathology, Shanxi Medical University, Taiyuan, China
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20
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Association between sleep quality and subjective cognitive decline: evidence from a community health survey. Sleep Med 2021; 83:123-131. [PMID: 33993029 DOI: 10.1016/j.sleep.2021.04.031] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/07/2021] [Accepted: 04/20/2021] [Indexed: 01/13/2023]
Abstract
OBJECTIVES Little is known concerning whether subjective cognitive decline (SCD) is associated with sleep quality. This study aimed to identify the association between self-reported quality of sleep and SCD in a large population of middle-aged and older adults in Korea. METHODS We conducted this study based on data collected from the 2018 Korean Community Health Survey. Individuals aged 40 years and older who responded to the Behavioral Risk Factor Surveillance System (BRFSS) and Pittsburgh Sleep Quality Index (PSQI) assessments and did not lack data about multiple covariates were included. A total of 37,712 respondents with SCD and 135,119 those without SCD were included. Sleep quality was estimated using the PSQI, which includes seven self-reported components for sleep health assessment. SCD was assessed using the BRFSS. Logistic regression models adjusted for confounders were used to examine whether each component of the sleep quality index was related to SCD. Additional analysis of the correlation between quantified scores for each component and SCD-related functional limitations as ordinal variables was performed. RESULTS The mean age was 62.7 years in the SCD group and 56.4 years in the control group. In total, 13,777 (28.9%) respondents were male in the SCD group and 62,439 (50.7%) in the control group. The adjusted odds ratios of SCD were 1.25 for very bad sleep quality, 1.26 for long sleep latency, 1.16 for <5 h of sleep duration, 1.08 for <65% habitual sleep efficiency, 2.29 for high sleep disturbance, 1.26 for use of sleep medication ≥3 times a week, and 2.47 for high daytime dysfunction due to sleep problems compared to good sleep conditions. Furthermore, a higher score for each component of the sleep quality index correlated with greater SCD-related functional limitations. CONCLUSIONS Our study provides evidence that poor sleep quality is closely related to both SCD and SCD-related functional limitations.
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21
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Harris SS, Schwerd-Kleine T, Lee BI, Busche MA. The Reciprocal Interaction Between Sleep and Alzheimer's Disease. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1344:169-188. [PMID: 34773232 DOI: 10.1007/978-3-030-81147-1_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
It is becoming increasingly recognized that patients with a variety of neurodegenerative diseases exhibit disordered sleep/wake patterns. While sleep impairments have typically been thought of as sequelae of underlying neurodegenerative processes in sleep-wake cycle regulating brain regions, including the brainstem, hypothalamus, and basal forebrain, emerging evidence now indicates that sleep deficits may also act as pathophysiological drivers of brain-wide disease progression. Specifically, recent work has indicated that impaired sleep can impact on neuronal activity, brain clearance mechanisms, pathological build-up of proteins, and inflammation. Altered sleep patterns may therefore be novel (potentially reversible) dynamic functional markers of proteinopathies and modifiable targets for early therapeutic intervention using non-invasive stimulation and behavioral techniques. Here we highlight research describing a potentially reciprocal interaction between impaired sleep and circadian patterns and the accumulation of pathological signs and features in Alzheimer's disease, the most prevalent neurodegenerative disease in the elderly.
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Affiliation(s)
| | | | - Byung Il Lee
- UK Dementia Research Institute at UCL, London, UK
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22
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Brice KN, Hagen CW, Peterman JL, Figg JW, Braden PN, Chumley MJ, Boehm GW. Chronic sleep restriction increases soluble hippocampal Aβ-42 and impairs cognitive performance. Physiol Behav 2020; 226:113128. [PMID: 32791178 DOI: 10.1016/j.physbeh.2020.113128] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 08/06/2020] [Accepted: 08/07/2020] [Indexed: 11/17/2022]
Abstract
Currently, over 44 million people worldwide suffer from Alzheimer's disease (AD). A common feature of AD is disrupted sleep. Sleep is essential for many psychological and physiological functions, though 35.3% of adults report getting less than 7 hours per night. The present research examined whether chronic sleep restriction would elevate hippocampal amyloid-beta1-42 expression or alter cognitive ability in adult C57BL/6 mice. Chronic sleep restriction was associated with cognitive impairment and increased hippocampal amyloid-beta. Thus, chronic sleep loss may have a detrimental effect upon cognitive function, in part, via increasing amyloid-beta levels in the hippocampus, even in non-genetically modified mice.
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Affiliation(s)
- Kelly N Brice
- Texas Christian University, Department of Psychology, 2955 South University Drive, Fort Worth, TX 76109, USA
| | - Christopher W Hagen
- Texas Christian University, Department of Biology, 2955 South University Drive, Fort Worth, TX 76109, USA
| | - Julia L Peterman
- Texas Christian University, Department of Psychology, 2955 South University Drive, Fort Worth, TX 76109, USA
| | - John W Figg
- Texas Christian University, Department of Biology, 2955 South University Drive, Fort Worth, TX 76109, USA
| | - Paige N Braden
- Texas Christian University, Department of Psychology, 2955 South University Drive, Fort Worth, TX 76109, USA
| | - Michael J Chumley
- Texas Christian University, Department of Biology, 2955 South University Drive, Fort Worth, TX 76109, USA
| | - Gary W Boehm
- Texas Christian University, Department of Psychology, 2955 South University Drive, Fort Worth, TX 76109, USA.
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23
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Thomas J, Ooms SJ, Mentink LJ, Booij J, Olde Rikkert MGM, Overeem S, Kessels RPC, Claassen JAHR. Effects of long-term sleep disruption on cognitive function and brain amyloid-β burden: a case-control study. ALZHEIMERS RESEARCH & THERAPY 2020; 12:101. [PMID: 32847615 PMCID: PMC7450576 DOI: 10.1186/s13195-020-00668-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 08/13/2020] [Indexed: 12/20/2022]
Abstract
Background Recent evidence indicates that disrupted sleep could contribute to the development of Alzheimer’s disease by influencing the production and/or clearance of the amyloid-β protein. We set up a case-control study to investigate the association between long-term work-induced sleep disruption, cognitive function, and brain amyloid-β burden. Methods Nineteen male maritime pilots (aged 48–60 years) with chronic work-related sleep disruption and a sex-, age-, and education-matched control sample (n = 16, aged 50–60 years) with normal sleep completed the study. Primary sleep disorders were ruled out with in-lab polysomnography. Additional sleep measurements were obtained at home using actigraphy, sleep-wake logs, and a single-lead EEG device. Cognitive function was assessed with a neuropsychological test battery, sensitive to early symptomatic Alzheimer’s disease. Brain amyloid-β burden was assessed in maritime pilots using 18F-flutemetamol amyloid PET-CT. Results Maritime pilots reported significantly worse sleep quality (Pittsburgh Sleep Quality Index (PSQI) = 8.8 ± 2.9) during work weeks, compared to controls (PSQI = 3.2 ± 1.4; 95% CI 0.01 to 2.57; p = 0.049). This was confirmed with actigraphy-based sleep efficiency (86% ± 3.8 vs. 89.3% ± 4.3; 95% CI 0.43 to 6.03; p = 0.03). Home-EEG recordings showed less total sleep time (TST) and deep sleep time (DST) during work weeks compared to rest weeks (TST 318.56 (250.21–352.93) vs. TST 406.17 (340–425.98); p = 0.001; DST 36.75 (32.30–58.58) vs. DST 51.34 (48.37–69.30); p = 0.005)). There were no differences in any of the cognitive domains between the groups. For brain amyloid-β levels, mean global cortical standard uptake value ratios of 18F-flutemetamol were all in the normal range (1.009 ± 0.059; 95% CI 0.980 to 1.037), confirmed by visual reads. Conclusions Capitalizing on the particular work-rest schedule of maritime pilots, this study with a small sample size observed that long-term intermittent sleep disruption had no effects on global brain amyloid-β levels or cognitive function.
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Affiliation(s)
- Jana Thomas
- Department of Geriatric Medicine, Radboud University Medical Center, 6525, GC, Nijmegen, The Netherlands. .,Donders Institute for Brain, Cognition and Behaviour, 6525, HR, Nijmegen, The Netherlands. .,Radboud Alzheimer Centre, 6525, GA, Nijmegen, The Netherlands.
| | - Sharon J Ooms
- Donders Institute for Brain, Cognition and Behaviour, 6525, HR, Nijmegen, The Netherlands.,Radboud Alzheimer Centre, 6525, GA, Nijmegen, The Netherlands
| | - Lara J Mentink
- Department of Geriatric Medicine, Radboud University Medical Center, 6525, GC, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, 6525, HR, Nijmegen, The Netherlands.,Radboud Alzheimer Centre, 6525, GA, Nijmegen, The Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525, GC, Nijmegen, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Academic Medical Center, 1105, AZ, Amsterdam, The Netherlands
| | - Marcel G M Olde Rikkert
- Department of Geriatric Medicine, Radboud University Medical Center, 6525, GC, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, 6525, HR, Nijmegen, The Netherlands.,Radboud Alzheimer Centre, 6525, GA, Nijmegen, The Netherlands
| | - Sebastiaan Overeem
- Sleep Medicine Centre Kempenhaeghe, 5591, VE, Heeze, The Netherlands.,Eindhoven University of Technology, 5612, AZ, Eindhoven, The Netherlands
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, 6525, HR, Nijmegen, The Netherlands.,Radboud Alzheimer Centre, 6525, GA, Nijmegen, The Netherlands.,Department of Medical Psychology, Radboud University Medical Center, 6525, GA, Nijmegen, The Netherlands
| | - Jurgen A H R Claassen
- Department of Geriatric Medicine, Radboud University Medical Center, 6525, GC, Nijmegen, The Netherlands. .,Donders Institute for Brain, Cognition and Behaviour, 6525, HR, Nijmegen, The Netherlands. .,Radboud Alzheimer Centre, 6525, GA, Nijmegen, The Netherlands.
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24
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Owen JE, Veasey SC. Impact of sleep disturbances on neurodegeneration: Insight from studies in animal models. Neurobiol Dis 2020; 139:104820. [PMID: 32087293 PMCID: PMC7593848 DOI: 10.1016/j.nbd.2020.104820] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 01/31/2020] [Accepted: 02/18/2020] [Indexed: 01/18/2023] Open
Abstract
Chronic short sleep or extended wake periods are commonly observed in most industrialized countries. Previously neurobehavioral impairment following sleep loss was considered to be a readily reversible occurrence, normalized upon recovery sleep. Recent clinical studies suggest that chronic short sleep and sleep disruption may be risk factors for neurodegeneration. Animal models have been instrumental in determining whether disturbed sleep can injure the brain. We now understand that repeated periods of extended wakefulness across the typical sleep period and/or sleep fragmentation can have lasting effects on neurogenesis and select populations of neurons and glia. Here we provide a comprehensive overview of the advancements made using animal models of sleep loss to understand the extent and mechanisms of chronic short sleep induced neural injury.
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Affiliation(s)
- Jessica E Owen
- Chronobiology and Sleep Institute and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sigrid C Veasey
- Chronobiology and Sleep Institute and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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25
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Hauglund NL, Pavan C, Nedergaard M. Cleaning the sleeping brain – the potential restorative function of the glymphatic system. CURRENT OPINION IN PHYSIOLOGY 2020. [DOI: 10.1016/j.cophys.2019.10.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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26
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Dafsari FS, Jessen F. Depression-an underrecognized target for prevention of dementia in Alzheimer's disease. Transl Psychiatry 2020; 10:160. [PMID: 32433512 PMCID: PMC7239844 DOI: 10.1038/s41398-020-0839-1] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 04/27/2020] [Accepted: 04/30/2020] [Indexed: 12/11/2022] Open
Abstract
It is broadly acknowledged that the onset of dementia in Alzheimer's disease (AD) may be modifiable by the management of risk factors. While several recent guidelines and multidomain intervention trials on prevention of cognitive decline address lifestyle factors and risk diseases, such as hypertension and diabetes, a special reference to the established risk factor of depression or depressive symptoms is systematically lacking. In this article we review epidemiological studies and biological mechanisms linking depression with AD and cognitive decline. We also emphasize the effects of antidepressive treatment on AD pathology including the molecular effects of antidepressants on neurogenesis, amyloid burden, tau pathology, and inflammation. We advocate moving depression and depressive symptoms into the focus of prevention of cognitive decline and dementia. We constitute that early treatment of depressive symptoms may impact on the disease course of AD and affect the risk of developing dementia and we propose the need for clinical trials.
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Affiliation(s)
- Forugh S Dafsari
- Department of Psychiatry and Psychotherapy, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
- Max-Planck-Institute for Metabolism Research, Gleueler Str. 50, 50931, Cologne, Germany.
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany
- German Center for Neurodegenerative Disease (DZNE), Sigmund-Freud-Str. 27, 53127, Bonn, Germany
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27
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Progressive Changes in Sleep and Its Relations to Amyloid-β Distribution and Learning in Single App Knock-In Mice. eNeuro 2020; 7:ENEURO.0093-20.2020. [PMID: 32321771 PMCID: PMC7196722 DOI: 10.1523/eneuro.0093-20.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 03/16/2020] [Indexed: 01/05/2023] Open
Abstract
Alzheimer’s disease (AD) patients often suffer from sleep disturbances. Alterations in sleep, especially rapid eye movement sleep (REMS), can precede the onset of dementia. To accurately characterize the sleep impairments accompanying AD and their underlying mechanisms using animal models, it is crucial to use models in which brain areas are affected in a manner similar to that observed in the actual patients. Here, we focused on AppNL-G-F mice, in which expression levels and patterns of mutated amyloid precursor protein (APP) follow the endogenous patterns. We characterized the sleep architecture of male AppNL-G-F homozygous and heterozygous mice at two ages (six and 12 months). At six months, homozygous mice exhibited reduced REMS, which was further reduced at 12 months together with a slight reduction in non-REMS (NREMS). By contrast, heterozygous mice exhibited an overall normal sleep architecture. Homozygous mice also exhibited decreased electroencephalogram γ to δ power ratio during REMS from six months, resembling the electroencephalogram slowing phenomenon observed in preclinical or early stages of AD. In addition, homozygous mice showed learning and memory impairments in the trace fear conditioning (FC) at both ages, and task performance strongly correlated with REMS amount at 12 months. Finally, histologic analyses revealed that amyloid-β accumulation in the pontine tegmental area and ventral medulla followed a course similar to that of the REMS reduction. These findings support the notion that changes in REMS are an early marker of AD and provide a starting point to address the mechanism of sleep deficits in AD and the effects on cognition.
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28
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Wang L, Zhao J, Wang C, Hou X, Ning N, Sun C, Guo S, Yuan Y, Li L, Hölscher C, Wang X. D-Ser2-oxyntomodulin ameliorated Aβ31-35-induced circadian rhythm disorder in mice. CNS Neurosci Ther 2020; 26:343-354. [PMID: 31411808 PMCID: PMC7053239 DOI: 10.1111/cns.13211] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 07/25/2019] [Accepted: 07/30/2019] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION The occurrence of circadian rhythm disorder in patients with Alzheimer's disease (AD) is closely related to the abnormal deposition of amyloid-β (Aβ), and d-Ser2-oxyntomodulin (Oxy) is a protease-resistant oxyntomodulin analogue that has been shown to exert neuroprotective effects. AIMS This study aimed to explore whether Oxy, a new GLP-1R/GCGR dual receptor agonist, can improve the Aβ-induced disrupted circadian rhythm and the role of GLP-1R. METHODS A mouse wheel-running experiment was performed to explore the circadian rhythm, and western blotting and real-time PCR were performed to assess the expression of the circadian clock genes Bmal1 and Per2. Furthermore, a lentivirus encoding an shGLP-1R-GFP-PURO was used to interfere with GLP-1R gene expression and so explore the role of GLP-1R. RESULTS The present study has confirmed that Oxy could restore Aβ31-35-induced circadian rhythm disorders and improve the abnormal expression of Bmal1 and Per2. After interfering the GLP-1R gene, we found that Oxy could not improve the Aβ31-35-induced circadian rhythm disorder and abnormal expression of clock genes. CONCLUSION This study demonstrated that Oxy could improve Aβ31-35-induced circadian rhythm disorders, and GLP-1R plays a critical role. This study thus describes a novel target that may be potentially used in the treatment of AD.
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Affiliation(s)
- Li Wang
- Department of PathologyShanxi Medical UniversityTaiyuanChina
| | - Jin Zhao
- Department of PathologyShanxi Medical UniversityTaiyuanChina
| | - Chang‐Tu Wang
- Department of PathologyShanxi Medical UniversityTaiyuanChina
- Laboratory of ChronobiologyShanxi Medical UniversityTaiyuanChina
| | - Xiao‐Hong Hou
- Department of PathologyShanxi Medical UniversityTaiyuanChina
| | - Na Ning
- Department of PathologyShanxi Medical UniversityTaiyuanChina
| | - Cong Sun
- Department of PathologyShanxi Medical UniversityTaiyuanChina
| | - Shuai Guo
- Department of PathologyShanxi Medical UniversityTaiyuanChina
| | - Yuan Yuan
- Laboratory of Morphology, Department of Basic Medical SciencesShanxi Medical UniversityTaiyuanChina
| | - Lin Li
- Key Laboratory of Cellular PhysiologyShanxi Medical UniversityTaiyuanChina
| | - Christian Hölscher
- Second HospitalShanxi Medical UniversityTaiyuanChina
- Biomedical and Life Science, Faculty of Health and MedicineLancaster UniversityLancasterUK
| | - Xiao‐Hui Wang
- Department of PathologyShanxi Medical UniversityTaiyuanChina
- Laboratory of ChronobiologyShanxi Medical UniversityTaiyuanChina
- Laboratory of Morphology, Department of Basic Medical SciencesShanxi Medical UniversityTaiyuanChina
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29
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Minakawa EN. [Sleep abnormality as a potential target of disease-modifying therapy for neurodegenerative diseases]. Nihon Yakurigaku Zasshi 2019; 154:306-309. [PMID: 31787681 DOI: 10.1254/fpj.154.306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Sleep abnormality such as frequent nocturnal arousal and decreased deep non-REM (rapid-eye-movement) sleep is a prevalent but under-recognized symptom that affects patients with various neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD). In contrast to the conventional understanding that the sleep abnormality in these patients is caused by AD or PD pathology in the brain regions regulating sleep-wake or circadian rhythm, various epidemiological studies have demonstrated the association of sleep abnormality with an increased risk of these diseases. Through various recent studies using relevant animal models to test the causal relationship between sleep abnormality and neurodegenerative diseases, the recent concept of a bidirectional relationship between sleep abnormality and neurodegenerative diseases was established. However, whether therapeutic interventions against sleep abnormality would modify the disease course of neurodegenerative diseases remains unknown. In this review, we will first provide an overview of previous studies that link neurodegenerative diseases and sleep abnormality, mainly focusing on the sleep abnormality in patients with AD. We will then introduce the studies that examined the causal relationship between sleep abnormality and neurodegenerative diseases. Finally, we will discuss possible mechanisms underlying the bidirectional relationship between sleep abnormality and neurodegenerative diseases. A better understanding of these mechanisms would lead to the development of novel pharmacological and/or non-pharmacological treatments that would modify the disease course of neurodegenerative diseases through targeting the processes related to sleep abnormality in the patients of neurodegenerative diseases.
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Affiliation(s)
- Eiko N Minakawa
- Department of Degenerative Neurological Diseases, National Institute of Neuroscience, National Center of Neurology and Psychiatry
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30
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Microglia-Mediated Synapse Loss in Alzheimer's Disease. J Neurosci 2019; 38:2911-2919. [PMID: 29563239 DOI: 10.1523/jneurosci.1136-17.2017] [Citation(s) in RCA: 207] [Impact Index Per Article: 41.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 11/17/2017] [Accepted: 12/17/2017] [Indexed: 12/18/2022] Open
Abstract
Microglia are emerging as key players in neurodegenerative diseases, such as Alzheimer's disease (AD). Thus far, microglia have rather been known as modulator of neurodegeneration with functions limited to neuroinflammation and release of neurotoxic molecules. However, several recent studies have demonstrated a direct role of microglia in "neuro" degeneration observed in AD by promoting phagocytosis of neuronal, in particular, synaptic structures. While some of the studies address the involvement of the β-amyloid peptides in the process, studies also indicate that this could occur independent of amyloid, further elevating the importance of microglia in AD. Here we review these recent studies and also speculate about the possible cellular mechanisms, and how they could be regulated by risk genes and sleep. Finally, we deliberate on possible avenues for targeting microglia-mediated synapse loss for therapy and prevention.Dual Perspectives Companion Paper: Alzheimer's Disease and Sleep-Wake Disturbances: Amyloid, Astrocytes, and Animal Models by William M. Vanderheyden, Miranda M. Lim, Erik S. Musiek, and Jason R. Gerstner.
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Sleep Disturbance as a Potential Modifiable Risk Factor for Alzheimer's Disease. Int J Mol Sci 2019; 20:ijms20040803. [PMID: 30781802 PMCID: PMC6412395 DOI: 10.3390/ijms20040803] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 01/30/2019] [Accepted: 02/03/2019] [Indexed: 12/13/2022] Open
Abstract
Sleep disturbance is a common symptom in patients with various neurodegenerative diseases, including Alzheimer’s disease (AD), and it can manifest in the early stages of the disease. Impaired sleep in patients with AD has been attributed to AD pathology that affects brain regions regulating the sleep–wake or circadian rhythm. However, recent epidemiological and experimental studies have demonstrated an association between impaired sleep and an increased risk of AD. These studies have led to the idea of a bidirectional relationship between AD and impaired sleep; in addition to the conventional concept that impaired sleep is a consequence of AD pathology, various evidence strongly suggests that impaired sleep is a risk factor for the initiation and progression of AD. Despite this recent progress, much remains to be elucidated in order to establish the benefit of therapeutic interventions against impaired sleep to prevent or alleviate the disease course of AD. In this review, we provide an overview of previous studies that have linked AD and sleep. We then highlight the studies that have tested the causal relationship between impaired sleep and AD and will discuss the molecular and cellular mechanisms underlying this link. We also propose future works that will aid the development of a novel disease-modifying therapy and prevention of AD via targeting impaired sleep through non-pharmacological and pharmacological interventions.
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32
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Steiger A, Pawlowski M. Depression and Sleep. Int J Mol Sci 2019; 20:ijms20030607. [PMID: 30708948 PMCID: PMC6386825 DOI: 10.3390/ijms20030607] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 12/28/2018] [Accepted: 01/07/2019] [Indexed: 12/20/2022] Open
Abstract
Impaired sleep is both a risk factor and a symptom of depression. Objective sleep is assessed using the sleep electroencephalogram (EEG). Characteristic sleep-EEG changes in patients with depression include disinhibition of rapid eye movement (REM) sleep, changes of sleep continuity, and impaired non-REM sleep. Most antidepressants suppress REM sleep both in healthy volunteers and depressed patients. Various sleep-EEG variables may be suitable as biomarkers for diagnosis, prognosis, and prediction of therapy response in depression. In family studies of depression, enhanced REM density, a measure for frequency of rapid eye movements, is characteristic for an endophenotype. Cordance is an EEG measure distinctly correlated with regional brain perfusion. Prefrontal theta cordance, derived from REM sleep, appears to be a biomarker of antidepressant treatment response. Some predictive sleep-EEG markers of depression appear to be related to hypothalamo-pituitary-adrenocortical system activity.
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Affiliation(s)
- Axel Steiger
- Max Planck Institute of Psychiatry, Research Group Sleep Endocrinology, 80804 Munich, Germany.
| | - Marcel Pawlowski
- Max Planck Institute of Psychiatry, Research Group Sleep Endocrinology, 80804 Munich, Germany.
- Centre of Mental Health, 85049 Ingolstadt, Germany.
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33
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Yetton BD, McDevitt EA, Cellini N, Shelton C, Mednick SC. Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks. PLoS One 2018; 13:e0194604. [PMID: 29641599 PMCID: PMC5894981 DOI: 10.1371/journal.pone.0194604] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 03/06/2018] [Indexed: 01/19/2023] Open
Abstract
The pattern of sleep stages across a night (sleep architecture) is influenced by biological, behavioral, and clinical variables. However, traditional measures of sleep architecture such as stage proportions, fail to capture sleep dynamics. Here we quantify the impact of individual differences on the dynamics of sleep architecture and determine which factors or set of factors best predict the next sleep stage from current stage information. We investigated the influence of age, sex, body mass index, time of day, and sleep time on static (e.g. minutes in stage, sleep efficiency) and dynamic measures of sleep architecture (e.g. transition probabilities and stage duration distributions) using a large dataset of 3202 nights from a non-clinical population. Multi-level regressions show that sex effects duration of all Non-Rapid Eye Movement (NREM) stages, and age has a curvilinear relationship for Wake After Sleep Onset (WASO) and slow wave sleep (SWS) minutes. Bayesian network modeling reveals sleep architecture depends on time of day, total sleep time, age and sex, but not BMI. Older adults, and particularly males, have shorter bouts (more fragmentation) of Stage 2, SWS, and they transition less frequently to these stages. Additionally, we showed that the next sleep stage and its duration can be optimally predicted by the prior 2 stages and age. Our results demonstrate the potential benefit of big data and Bayesian network approaches in quantifying static and dynamic architecture of normal sleep.
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Affiliation(s)
- Benjamin D. Yetton
- Department of Psychology, University of California, Irvine, Irvine, California, United States of America
| | - Elizabeth A. McDevitt
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America
| | - Nicola Cellini
- Department of Psychology, University of California, Irvine, Irvine, California, United States of America
- Department of General Psychology, University of Padova, Padova, Italy
| | - Christian Shelton
- Department of Computer Science, University of California, Riverside, Riverside, California, United States of America
| | - Sara C. Mednick
- Department of Psychology, University of California, Irvine, Irvine, California, United States of America
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Griffith CM, Eid T, Rose GM, Patrylo PR. Evidence for altered insulin receptor signaling in Alzheimer's disease. Neuropharmacology 2018; 136:202-215. [PMID: 29353052 DOI: 10.1016/j.neuropharm.2018.01.008] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 12/19/2017] [Accepted: 01/05/2018] [Indexed: 12/11/2022]
Abstract
Epidemiological data have shown that metabolic disease can increase the propensity for developing cognitive decline and dementia, particularly Alzheimer's disease (AD). While this interaction is not completely understood, clinical studies suggest that both hyper- and hypoinsulinemia are associated with an increased risk for developing AD. Indeed, insulin signaling is altered in post-mortem brain tissue from AD patients and treatments known to enhance insulin signaling can improve cognitive function. Further, clinical evidence has shown that AD patients and mouse models of AD often display alterations in peripheral metabolism. Since insulin is primarily derived from the periphery, it is likely that changes in peripheral insulin levels lead to alterations in central nervous system (CNS) insulin signaling and could contribute to cognitive decline and pathogenesis. Developing a better understanding of the relationship between alterations in peripheral metabolism and cognitive function might provide a foundation for the development of better treatment options for patients with AD. In this article we will begin to piece together the present data defining this relationship by briefly discussing insulin signaling in the periphery and CNS, its role in cognitive function, insulin's relationship to AD, peripheral metabolic alterations in mouse models of AD and how information from these models helps understand the mechanisms through which these changes potentially lead to impairments in insulin signaling in the CNS, and potential ways to target insulin signaling that could improve cognitive function in AD. This article is part of the Special Issue entitled 'Metabolic Impairment as Risk Factors for Neurodegenerative Disorders.'
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Affiliation(s)
- Chelsea M Griffith
- Department of Physiology, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; Center for Integrated Research in Cognitive and Neural Sciences, Southern Illinois University Carbondale, IL 62901, USA
| | - Tore Eid
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Gregory M Rose
- Department of Physiology, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; Department of Anatomy, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; Center for Integrated Research in Cognitive and Neural Sciences, Southern Illinois University Carbondale, IL 62901, USA
| | - Peter R Patrylo
- Department of Physiology, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; Department of Anatomy, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; Center for Integrated Research in Cognitive and Neural Sciences, Southern Illinois University Carbondale, IL 62901, USA.
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