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Zhao Q, Yokomizo S, Perle SJ, Lee YF, Zhou H, Miller MR, Li H, Gerashchenko D, Gomperts SN, Bacskai BJ, Kastanenka KV. Optogenetic targeting of cortical astrocytes selectively improves NREM sleep in an Alzheimer's disease mouse model. Sci Rep 2024; 14:23044. [PMID: 39362954 PMCID: PMC11450172 DOI: 10.1038/s41598-024-73082-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 09/13/2024] [Indexed: 10/05/2024] Open
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative condition marked by memory impairments and distinct histopathological features such as amyloid-beta (Aβ) accumulations. Alzheimer's patients experience sleep disturbances at early stages of the disease. APPswe/PS1dE9 (APP) mice exhibit sleep disruptions, including reductions in non-rapid eye movement (NREM) sleep, that contribute to their disease progression. In addition, astrocytic calcium transients associated with a sleep-dependent brain rhythm, slow oscillations prevalent during NREM sleep, are disrupted in APP mice. However, at present it is unclear whether restoration of circuit function by targeting astrocytic activity could improve sleep in APP mice. To that end, APP mice expressing channelrhodopsin-2 (ChR2) targeted to astrocytes underwent optogenetic stimulation at the slow oscillation frequency. Optogenetic stimulation of astrocytes significantly increased NREM sleep duration but not duration of rapid eye movement (REM) sleep. Optogenetic treatment increased delta power and reduced sleep fragmentation in APP mice. Thus, optogenetic activation of astrocytes increased sleep quantity and improved sleep quality in an AD mouse model. Astrocytic activity provides a novel therapeutic avenue to pursue for enhancing sleep and slowing AD progression.
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Affiliation(s)
- Qiuchen Zhao
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Shinya Yokomizo
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Stephen J Perle
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Yee Fun Lee
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Heng Zhou
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Morgan R Miller
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Hanyan Li
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Dmitry Gerashchenko
- Department of Psychiatry, Harvard Medical School and Veterans Affairs Boston Healthcare System, West Roxbury, MA, 02132, USA
| | - Stephen N Gomperts
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Brian J Bacskai
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Ksenia V Kastanenka
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
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Deng S, Hu Y, Chen S, Xue Y, Yao D, Sun Q, Nedergaard M, Wang W, Ding F. Chronic sleep fragmentation impairs brain interstitial clearance in young wildtype mice. J Cereb Blood Flow Metab 2024; 44:1515-1531. [PMID: 38639025 PMCID: PMC11418708 DOI: 10.1177/0271678x241230188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/06/2023] [Accepted: 12/27/2023] [Indexed: 04/20/2024]
Abstract
Accumulating evidence shows that most chronic neurological diseases have a link with sleep disturbances, and that patients with chronically poor sleep undergo an accelerated cognitive decline. Indeed, a single-night of sleep deprivation may increase metabolic waste levels in cerebrospinal fluid. However, it remains unknown how chronic sleep disturbances in isolation from an underlying neurological disease may affect the glymphatic system. Clearance of brain interstitial waste by the glymphatic system occurs primarily during sleep, driven by multiple oscillators including arterial pulsatility, and vasomotion. Herein, we induced sleep fragmentation in young wildtype mice and assessed the effects on glymphatic activity and cognitive functions. Chronic sleep fragmentation reduced glymphatic function and impaired cognitive functions in healthy mice. A mechanistic analysis showed that the chronic sleep fragmentation suppressed slow vasomotion, without altering cardiac-driven pulsations. Taken together, results of this study document that chronic sleep fragmentation suppresses brain metabolite clearance and impairs cognition, even in the absence of disease.
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Affiliation(s)
- Saiyue Deng
- Department of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yusi Hu
- Department of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Simiao Chen
- Department of Rehabilitation Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, 310003, China
| | - Yang Xue
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Di Yao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qian Sun
- Department of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Maiken Nedergaard
- Division of Glial Disease and Therapeutics, Center for Translational Neuromedicine, Department of Neurology, University of Rochester Medical Center, Rochester, NY, 14642, United States
- Division of Glial Disease and Therapeutics, Center for Translational Neuromedicine, University of Copenhagen, Copenhagen 2200, Denmark
| | - Wei Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fengfei Ding
- Department of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
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Rhea EM, Leclerc M, Yassine HN, Capuano AW, Tong H, Petyuk VA, Macauley SL, Fioramonti X, Carmichael O, Calon F, Arvanitakis Z. State of the Science on Brain Insulin Resistance and Cognitive Decline Due to Alzheimer's Disease. Aging Dis 2024; 15:1688-1725. [PMID: 37611907 PMCID: PMC11272209 DOI: 10.14336/ad.2023.0814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 08/14/2023] [Indexed: 08/25/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is common and increasing in prevalence worldwide, with devastating public health consequences. While peripheral insulin resistance is a key feature of most forms of T2DM and has been investigated for over a century, research on brain insulin resistance (BIR) has more recently been developed, including in the context of T2DM and non-diabetes states. Recent data support the presence of BIR in the aging brain, even in non-diabetes states, and found that BIR may be a feature in Alzheimer's disease (AD) and contributes to cognitive impairment. Further, therapies used to treat T2DM are now being investigated in the context of AD treatment and prevention, including insulin. In this review, we offer a definition of BIR, and present evidence for BIR in AD; we discuss the expression, function, and activation of the insulin receptor (INSR) in the brain; how BIR could develop; tools to study BIR; how BIR correlates with current AD hallmarks; and regional/cellular involvement of BIR. We close with a discussion on resilience to both BIR and AD, how current tools can be improved to better understand BIR, and future avenues for research. Overall, this review and position paper highlights BIR as a plausible therapeutic target for the prevention of cognitive decline and dementia due to AD.
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Affiliation(s)
- Elizabeth M Rhea
- Geriatric Research Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA 98108, USA.
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA 98195, USA.
| | - Manon Leclerc
- Faculty of Pharmacy, Laval University, Quebec, Quebec, Canada.
- Neuroscience Axis, CHU de Québec Research Center - Laval University, Quebec, Quebec, Canada.
| | - Hussein N Yassine
- Departments of Neurology and Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Ana W Capuano
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
| | - Han Tong
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
| | - Shannon L Macauley
- Department of Physiology, University of Kentucky, Lexington, KY 40508, USA.
| | - Xavier Fioramonti
- International Associated Laboratory OptiNutriBrain, Bordeaux, France and Quebec, Canada.
- Univ. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33000 Bordeaux, France.
| | - Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
| | - Frederic Calon
- Faculty of Pharmacy, Laval University, Quebec, Quebec, Canada.
- Neuroscience Axis, CHU de Québec Research Center - Laval University, Quebec, Quebec, Canada.
- International Associated Laboratory OptiNutriBrain, Bordeaux, France and Quebec, Canada.
| | - Zoe Arvanitakis
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA.
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Rosenblum Y, Pereira M, Stange O, Weber FD, Bovy L, Tzioridou S, Lancini E, Neville DA, Klein N, de Wolff T, Stritzke M, Kersten I, Uhr M, Claassen JAHR, Steiger A, Verbeek MM, Dresler M. Divergent Associations of Slow-Wave Sleep versus Rapid Eye Movement Sleep with Plasma Amyloid-Beta. Ann Neurol 2024; 96:46-60. [PMID: 38624158 DOI: 10.1002/ana.26935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/17/2024]
Abstract
OBJECTIVE Recent evidence shows that during slow-wave sleep (SWS), the brain is cleared from potentially toxic metabolites, such as the amyloid-beta protein. Poor sleep or elevated cortisol levels can worsen amyloid-beta clearance, potentially leading to the formation of amyloid plaques, a neuropathological hallmark of Alzheimer disease. Here, we explored how nocturnal neural and endocrine activity affects amyloid-beta fluctuations in the peripheral blood. METHODS We acquired simultaneous polysomnography and all-night blood sampling in 60 healthy volunteers aged 20-68 years. Nocturnal plasma concentrations of amyloid-beta-40, amyloid-beta-42, cortisol, and growth hormone were assessed every 20 minutes. Amyloid-beta fluctuations were modeled with sleep stages, (non)oscillatory power, and hormones as predictors while controlling for age and participant-specific random effects. RESULTS Amyloid-beta-40 and amyloid-beta-42 levels correlated positively with growth hormone concentrations, SWS proportion, and slow-wave (0.3-4Hz) oscillatory and high-band (30-48Hz) nonoscillatory power, but negatively with cortisol concentrations and rapid eye movement sleep (REM) proportion measured 40-100 minutes previously (all t values > |3|, p values < 0.003). Older participants showed higher amyloid-beta-40 levels. INTERPRETATION Slow-wave oscillations are associated with higher plasma amyloid-beta levels, whereas REM sleep is related to decreased amyloid-beta plasma levels, possibly representing changes in central amyloid-beta production or clearance. Strong associations between cortisol, growth hormone, and amyloid-beta presumably reflect the sleep-regulating role of the corresponding releasing hormones. A positive association between age and amyloid-beta-40 may indicate that peripheral clearance becomes less efficient with age. ANN NEUROL 2024;96:46-60.
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Affiliation(s)
- Yevgenia Rosenblum
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
| | - Mariana Pereira
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
| | - Oliver Stange
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
| | - Frederik D Weber
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands
| | - Leonore Bovy
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
| | - Sofia Tzioridou
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
| | - Elisa Lancini
- Otto von Guericke University Magdeburg, German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - David A Neville
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
| | - Nadja Klein
- Chair of Uncertainty Quantification and Statistical Learning, Department of Statistics, Technische Universität Dortmund, Dortmund, Germany
| | - Timo de Wolff
- Technische Universität Braunschweig, Institut für Analysis und Algebra, Braunschweig, Germany
| | - Mandy Stritzke
- Technische Universität Braunschweig, Institut für Analysis und Algebra, Braunschweig, Germany
| | - Iris Kersten
- Departments of Neurology and Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Manfred Uhr
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Jurgen A H R Claassen
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Axel Steiger
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Marcel M Verbeek
- Departments of Neurology and Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martin Dresler
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, the Netherlands
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Moon C, Schneider A, Cho YE, Zhang M, Dang H, Vu K. Sleep duration, sleep efficiency, and amyloid β among cognitively healthy later-life adults: a systematic review and meta-analysis. BMC Geriatr 2024; 24:408. [PMID: 38714912 PMCID: PMC11076214 DOI: 10.1186/s12877-024-05010-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 04/24/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Abnormal amyloid β (Aβ) deposits in the brain are a hallmark of Alzheimer's disease (AD). Insufficient sleep duration and poor sleep quality are risk factors for developing AD. Sleep may play a role in Aβ regulation, but the magnitude of the relationship between sleep and Aβ deposition remains unclear. This systematic review examines the relationship between sleep (i.e., duration and efficiency) with Aβ deposition in later-life adults. METHODS A search of PubMed, CINAHL, Embase, and PsycINFO generated 5,005 published articles. Fifteen studies met the inclusion criteria for qualitative syntheses; thirteen studies for quantitative syntheses related to sleep duration and Aβ; and nine studies for quantitative syntheses related to sleep efficiency and Aβ. RESULTS Mean ages of the samples ranged from 63 to 76 years. Studies measured Aβ using cerebrospinal fluid, serum, and positron emission tomography scans with two tracers: Carbone 11-labeled Pittsburgh compound B or fluorine 18-labeled. Sleep duration was measured subjectively using interviews or questionnaires, or objectively using polysomnography or actigraphy. Study analyses accounted for demographic and lifestyle factors. Based on 13 eligible articles, our synthesis demonstrated that the average association between sleep duration and Aβ was not statistically significant (Fisher's Z = -0.055, 95% CI = -0.117 ~ 0.008). We found that longer self-report sleep duration is associated with lower Aβ (Fisher's Z = -0.062, 95% CI = -0.119 ~ -0.005), whereas the objectively measured sleep duration was not associated with Aβ (Fisher's Z = 0.002, 95% CI = -0.108 ~ 0.113). Based on 9 eligible articles for sleep efficiency, our synthesis also demonstrated that the average association between sleep efficiency and Aβ was not statistically significant (Fisher's Z = 0.048, 95% CI = -0.066 ~ 0.161). CONCLUSION The findings from this review suggest that shorter self-reported sleep duration is associated with higher Aβ levels. Given the heterogeneous nature of the sleep measures and outcomes, it is still difficult to determine the exact relationship between sleep and Aβ. Future studies with larger sample sizes should focus on comprehensive sleep characteristics and use longitudinal designs to better understand the relationship between sleep and AD.
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Affiliation(s)
- Chooza Moon
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA.
| | - Aaron Schneider
- University of Iowa College of Liberal Arts and Sciences Department of Health and Human Physiology, 225 S. Grand Ave., Iowa City, IA, 52240, USA
| | - Young-Eun Cho
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA
| | - Meina Zhang
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA
| | - Hellen Dang
- University of Iowa College of Liberal Arts and Sciences Department of Health and Human Physiology, 225 S. Grand Ave., Iowa City, IA, 52240, USA
| | - Kelly Vu
- University of Iowa College of Pharmacy, 180 S. Grand Avenue, Iowa City, IA, 52242, USA
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Zhao Q, Maci M, Miller MR, Zhou H, Zhang F, Algamal M, Lee YF, Hou SS, Perle SJ, Le H, Russ AN, Lo EH, Gerashchenko D, Gomperts SN, Bacskai BJ, Kastanenka KV. Sleep restoration by optogenetic targeting of GABAergic neurons reprograms microglia and ameliorates pathological phenotypes in an Alzheimer's disease model. Mol Neurodegener 2023; 18:93. [PMID: 38041158 PMCID: PMC10693059 DOI: 10.1186/s13024-023-00682-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) patients exhibit memory disruptions and profound sleep disturbances, including disruption of deep non-rapid eye movement (NREM) sleep. Slow-wave activity (SWA) is a major restorative feature of NREM sleep and is important for memory consolidation. METHODS We generated a mouse model where GABAergic interneurons could be targeted in the presence of APPswe/PS1dE9 (APP) amyloidosis, APP-GAD-Cre mice. An electroencephalography (EEG) / electromyography (EMG) telemetry system was used to monitor sleep disruptions in these animals. Optogenetic stimulation of GABAergic interneurons in the anterior cortex targeted with channelrhodopsin-2 (ChR2) allowed us to examine the role GABAergic interneurons play in sleep deficits. We also examined the effect of optogenetic stimulation on amyloid plaques, neuronal calcium as well as sleep-dependent memory consolidation. In addition, microglial morphological features and functions were assessed using confocal microscopy and flow cytometry. Finally, we performed sleep deprivation during optogenetic stimulation to investigate whether sleep restoration was necessary to slow AD progression. RESULTS APP-GAD-Cre mice exhibited impairments in sleep architecture including decreased time spent in NREM sleep, decreased delta power, and increased sleep fragmentation compared to nontransgenic (NTG) NTG-GAD-Cre mice. Optogenetic stimulation of cortical GABAergic interneurons increased SWA and rescued sleep impairments in APP-GAD-Cre animals. Furthermore, it slowed AD progression by reducing amyloid deposition, normalizing neuronal calcium homeostasis, and improving memory function. These changes were accompanied by increased numbers and a morphological transformation of microglia, elevated phagocytic marker expression, and enhanced amyloid β (Aβ) phagocytic activity of microglia. Sleep was necessary for amelioration of pathophysiological phenotypes in APP-GAD-Cre mice. CONCLUSIONS In summary, our study shows that optogenetic targeting of GABAergic interneurons rescues sleep, which then ameliorates neuropathological as well as behavioral deficits by increasing clearance of Aβ by microglia in an AD mouse model.
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Affiliation(s)
- Qiuchen Zhao
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Megi Maci
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Morgan R Miller
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Heng Zhou
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Fang Zhang
- Departments of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Moustafa Algamal
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Yee Fun Lee
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Steven S Hou
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Stephen J Perle
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Hoang Le
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Alyssa N Russ
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Eng H Lo
- Departments of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Dmitry Gerashchenko
- Department of Psychiatry, Harvard Medical School and Veterans Affairs Boston Healthcare System, West Roxbury, MA, 02132, USA
| | - Stephen N Gomperts
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Brian J Bacskai
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Ksenia V Kastanenka
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
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Vaquer-Alicea A, Yu J, Liu H, Lucey BP. Plasma and cerebrospinal fluid proteomic signatures of acutely sleep-deprived humans: an exploratory study. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2023; 4:zpad047. [PMID: 38046221 PMCID: PMC10691441 DOI: 10.1093/sleepadvances/zpad047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 11/06/2023] [Indexed: 12/05/2023]
Abstract
Study Objectives Acute sleep deprivation affects both central and peripheral biological processes. Prior research has mainly focused on specific proteins or biological pathways that are dysregulated in the setting of sustained wakefulness. This exploratory study aimed to provide a comprehensive view of the biological processes and proteins impacted by acute sleep deprivation in both plasma and cerebrospinal fluid (CSF). Methods We collected plasma and CSF from human participants during one night of sleep deprivation and controlled normal sleep conditions. One thousand and three hundred proteins were measured at hour 0 and hour 24 using a high-scale aptamer-based proteomics platform (SOMAscan) and a systematic biological database tool (Metascape) was used to reveal altered biological pathways. Results Acute sleep deprivation decreased the number of upregulated and downregulated biological pathways and proteins in plasma but increased upregulated and downregulated biological pathways and proteins in CSF. Predominantly affected proteins and pathways were associated with immune response, inflammation, phosphorylation, membrane signaling, cell-cell adhesion, and extracellular matrix organization. Conclusions The identified modifications across biofluids add to evidence that acute sleep deprivation has important impacts on biological pathways and proteins that can negatively affect human health. As a hypothesis-driving study, these findings may help with the exploration of novel mechanisms that mediate sleep loss and associated conditions, drive the discovery of new sleep loss biomarkers, and ultimately aid in the identification of new targets for intervention to human diseases.
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Affiliation(s)
- Ana Vaquer-Alicea
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Jinsheng Yu
- Department of Genetics, Washington University School of Medicine, St Louis, MO, USA
| | - Haiyan Liu
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
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8
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Wong R, Lovier MA. Sleep Disturbances and Dementia Risk in Older Adults: Findings From 10 Years of National U.S. Prospective Data. Am J Prev Med 2023; 64:781-787. [PMID: 36707315 DOI: 10.1016/j.amepre.2023.01.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Previous research has identified a link between sleep disturbances and cognitive impairment; however, no study has examined this relationship using a national United States sample. This study examines how multiple longitudinal measures of sleep disturbances (sleep-initiation insomnia, sleep-maintenance insomnia, sleep-medication usage) are associated with dementia risk. METHODS Ten annual waves (2011-2020) of prospective cohort data from a nationally representative U.S. sample of adults aged ≥65 years were analyzed from the National Health and Aging Trends Study. Sleep disturbances were converted into a longitudinal score and measured as sleep-initiation insomnia (trouble falling asleep in 30 minutes), sleep-maintenance insomnia (trouble falling asleep after waking up early), and sleep-medication usage (taking medication to help sleep). Cox regression models analyzed time to dementia diagnosis for a sample of 6,284 respondents. RESULTS In the unadjusted model, sleep-initiation insomnia was significantly associated with a 51% increased dementia risk (hazard ratio=1.51, 95% CI=1.19, 1.90). Adjusted for sociodemographics, sleep-medication usage was significantly associated with a 30% increased dementia risk (adjusted hazard ratio=1.30, 95% CI=1.08-1.56). Adjusted for sociodemographics and health, sleep-maintenance insomnia was significantly associated with a 40% decreased dementia risk (adjusted hazard ratio=0.60, 95% CI=0.46, 0.77). CONCLUSIONS These findings suggest that sleep-initiation insomnia and sleep-medication usage may elevate dementia risk. On the basis of the current evidence, sleep disturbances should be considered when assessing the risk profile for dementia. Future research is needed to examine other sleep disturbance measures and to explore the mechanisms for decreased dementia risk among older adults with sleep-maintenance insomnia.
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Affiliation(s)
- Roger Wong
- Department of Public Health and Preventive Medicine, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, New York.
| | - Margaret Anne Lovier
- Department of Public Health and Preventive Medicine, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, New York
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9
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Liu W, Ma R, Sun C, Xu Y, Liu Y, Hu J, Ma Y, Wang D, Wen D, Yu Y. Implications from proteomic studies investigating circadian rhythm disorder-regulated neurodegenerative disease pathology. Sleep Med Rev 2023; 70:101789. [PMID: 37253318 DOI: 10.1016/j.smrv.2023.101789] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 05/01/2023] [Accepted: 05/05/2023] [Indexed: 06/01/2023]
Abstract
Neurodegenerative diseases (NDs) affect 15% of the world's population and are becoming an increasingly common cause of morbidity and mortality worldwide. Circadian rhythm disorders (CRDs) have been reported to be involved in the pathogenic regulation of various neurologic diseases, including Alzheimer's disease, Parkinson's disease, Huntington's disease, multiple sclerosis and amyotrophic lateral sclerosis. Proteomic technology is helpful to explore treatment targets for CRDs in patients with NDs. Here, we review the key differentially expressed (DE) proteins identified in previous proteomic studies investigating NDs, CRDs and associated models and the related pathways identified by enrichment analysis. Furthermore, we summarize the advantages and disadvantages of the above studies and propose new proteomic technologies for the precise study of circadian disorder-mediated regulation of ND pathology. This review provides a theoretical and technical reference for the precise study of circadian disorder-mediated regulation of ND pathology.
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Affiliation(s)
- Weiwei Liu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Ruze Ma
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China; Department of Gerontology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China
| | - Chen Sun
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning, China
| | - Yingxi Xu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Yang Liu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Jiajin Hu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China
| | - Yanan Ma
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China; Department of Epidemiology and Health Statistics, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Difei Wang
- Department of Gerontology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China
| | - Deliang Wen
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China.
| | - Yang Yu
- Health Sciences Institute, Key Laboratory of Obesity and Glucose/Lipid Associated Metabolic Diseases, China Medical University, Shenyang 110122, Liaoning, China.
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10
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Grizzanti J, Moritz WR, Pait MC, Stanley M, Kaye SD, Carroll CM, Constantino NJ, Deitelzweig LJ, Snipes JA, Kellar D, Caesar EE, Pettit-Mee RJ, Day SM, Sens JP, Nicol NI, Dhillon J, Remedi MS, Kiraly DD, Karch CM, Nichols CG, Holtzman DM, Macauley SL. KATP channels are necessary for glucose-dependent increases in amyloid-β and Alzheimer's disease-related pathology. JCI Insight 2023; 8:e162454. [PMID: 37129980 PMCID: PMC10386887 DOI: 10.1172/jci.insight.162454] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 04/18/2023] [Indexed: 05/03/2023] Open
Abstract
Elevated blood glucose levels, or hyperglycemia, can increase brain excitability and amyloid-β (Aβ) release, offering a mechanistic link between type 2 diabetes and Alzheimer's disease (AD). Since the cellular mechanisms governing this relationship are poorly understood, we explored whether ATP-sensitive potassium (KATP) channels, which couple changes in energy availability with cellular excitability, play a role in AD pathogenesis. First, we demonstrate that KATP channel subunits Kir6.2/KCNJ11 and SUR1/ABCC8 were expressed on excitatory and inhibitory neurons in the human brain, and cortical expression of KCNJ11 and ABCC8 changed with AD pathology in humans and mice. Next, we explored whether eliminating neuronal KATP channel activity uncoupled the relationship between metabolism, excitability, and Aβ pathology in a potentially novel mouse model of cerebral amyloidosis and neuronal KATP channel ablation (i.e., amyloid precursor protein [APP]/PS1 Kir6.2-/- mouse). Using both acute and chronic paradigms, we demonstrate that Kir6.2-KATP channels are metabolic sensors that regulate hyperglycemia-dependent increases in interstitial fluid levels of Aβ, amyloidogenic processing of APP, and amyloid plaque formation, which may be dependent on lactate release. These studies identify a potentially new role for Kir6.2-KATP channels in AD and suggest that pharmacological manipulation of Kir6.2-KATP channels holds therapeutic promise in reducing Aβ pathology in patients with diabetes or prediabetes.
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Affiliation(s)
- John Grizzanti
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - William R. Moritz
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Morgan C. Pait
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Molly Stanley
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
- Department of Biology, College of Arts and Sciences, University of Vermont, Burlington, Vermont, USA
| | - Sarah D. Kaye
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Caitlin M. Carroll
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicholas J. Constantino
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Lily J. Deitelzweig
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - James A. Snipes
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Derek Kellar
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Emily E. Caesar
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | | | | | | | - Noelle I. Nicol
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jasmeen Dhillon
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Maria S. Remedi
- Department of Physiology and Pharmacology and
- Department of Medicine, Division of Endocrinology, Metabolism and Lipid Research
| | | | - Celeste M. Karch
- Department of Psychiatry
- Hope Center for Neurological Disorders
- Knight Alzheimer’s Disease Research Center, Department of Neurology; and
| | - Colin G. Nichols
- Center for the Investigation of Membrane Excitability Diseases, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - David M. Holtzman
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
- Hope Center for Neurological Disorders
- Knight Alzheimer’s Disease Research Center, Department of Neurology; and
| | - Shannon L. Macauley
- Department of Physiology and Pharmacology and
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
- Alzheimer’s Disease Research Center
- Center on Diabetes, Obesity and Metabolism
- Center for Precision Medicine; and
- Cardiovascular Sciences Center, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
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11
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Moon C, Schneiner A, Cho YE, Zhang M, Dang H, Vu K. Sleep Duration and Amyloid β Among Cognitively Healthy Later-Life Adults: A Systematic Review and Meta-Analysis. RESEARCH SQUARE 2023:rs.3.rs-2782680. [PMID: 37131764 PMCID: PMC10153382 DOI: 10.21203/rs.3.rs-2782680/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Background Amyloid β (Aβ) is a hallmark of Alzheimer's disease (AD). Insufficient sleep duration and poor sleep quality have been found to be a risk factor of developing AD because sleep may involve regulating Aβ. However, the magnitude of the relationship between sleep duration and Aβ is still unclear. This systematic review examines the relationship between sleep duration and Aβ in later-life adults. Methods We screened 5,005 published articles searched from relevant electronic databases (i.e., PubMed, CINAHL, Embase, and PsycINFO) and reviewed 14 articles for the qualitative synthesis and 7 articles for the quantitative synthesis. Results Mean ages of the samples ranged from 63 to 76. Studies measured Aβ using cerebrospinal fluid, serum, and positron emission tomography scans with two tracers: Carbone 11-labeled Pittsburgh compound B or fluorine 18-labeled. Sleep duration was subjectively measured using interviews, questionnaires, or using objective measures such as polysomnography or actigraphy. The studies accounted for demographic and lifestyle factors in their analyses. Five of the 14 studies reported a statistically significant association between sleep duration and Aβ. Using seven eligible articles, our quantitative synthesis demonstrated that the average association between sleep duration and Aβ was not statistically significant (Fisher's Z = -0.006, 95% CI= -0.065 ~ 0.054). Conclusion This review suggests that caution should be taken when considering sleep duration as the primary factor for Aβ levels. More studies are needed using a longitudinal design, comprehensive sleep metrics, and larger sample sizes to advance our understanding of the optimal sleep duration and AD prevention.
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Affiliation(s)
- Chooza Moon
- University of Iowa College of Liberal Arts and Sciences
| | | | | | - Meina Zhang
- University of Iowa College of Liberal Arts and Sciences
| | - Hellen Dang
- University of Iowa College of Liberal Arts and Sciences
| | - Kelly Vu
- University of Iowa College of Pharmacy
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12
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Min J, Rouanet J, Martini AC, Nashiro K, Yoo HJ, Porat S, Cho C, Wan J, Cole SW, Head E, Nation DA, Thayer JF, Mather M. Modulating heart rate oscillation affects plasma amyloid beta and tau levels in younger and older adults. Sci Rep 2023; 13:3967. [PMID: 36894565 PMCID: PMC9998394 DOI: 10.1038/s41598-023-30167-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 02/16/2023] [Indexed: 03/11/2023] Open
Abstract
Slow paced breathing via heart rate variability (HRV) biofeedback stimulates vagus-nerve pathways that counter noradrenergic stress and arousal pathways that can influence production and clearance of Alzheimer's disease (AD)-related proteins. Thus, we examined whether HRV biofeedback intervention affects plasma Αβ40, Αβ42, total tau (tTau), and phosphorylated tau-181 (pTau-181) levels. We randomized healthy adults (N = 108) to use slow-paced breathing with HRV biofeedback to increase heart rate oscillations (Osc+) or to use personalized strategies with HRV biofeedback to decrease heart rate oscillations (Osc-). They practiced 20-40 min daily. Four weeks of practicing the Osc+ and Osc- conditions produced large effect size differences in change in plasma Aβ40 and Aβ42 levels. The Osc+ condition decreased plasma Αβ while the Osc- condition increased Αβ. Decreases in Αβ were associated with decreases in gene transcription indicators of β-adrenergic signaling, linking effects to the noradrenergic system. There were also opposing effects of the Osc+ and Osc- interventions on tTau for younger adults and pTau-181 for older adults. These results provide novel data supporting a causal role of autonomic activity in modulating plasma AD-related biomarkers.Trial registration: NCT03458910 (ClinicalTrials.gov); first posted on 03/08/2018.
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Affiliation(s)
- Jungwon Min
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Kaoru Nashiro
- University of Southern California, Los Angeles, CA, USA
| | - Hyun Joo Yoo
- University of Southern California, Los Angeles, CA, USA
| | - Shai Porat
- University of Southern California, Los Angeles, CA, USA
| | - Christine Cho
- University of Southern California, Los Angeles, CA, USA
| | - Junxiang Wan
- University of Southern California, Los Angeles, CA, USA
| | - Steve W Cole
- University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | | | - Mara Mather
- University of Southern California, Los Angeles, CA, USA.
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13
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Savonije K, Weaver DF. The Role of Tryptophan Metabolism in Alzheimer's Disease. Brain Sci 2023; 13:brainsci13020292. [PMID: 36831835 PMCID: PMC9954102 DOI: 10.3390/brainsci13020292] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/25/2023] [Accepted: 02/07/2023] [Indexed: 02/11/2023] Open
Abstract
The need to identify new potentially druggable biochemical mechanisms for Alzheimer's disease (AD) is an ongoing priority. The therapeutic limitations of amyloid-based approaches are further motivating this search. Amino acid metabolism, particularly tryptophan metabolism, has the potential to emerge as a leading candidate and an alternative exploitable biomolecular target. Multiple avenues support this contention. Tryptophan (trp) and its associated metabolites are able to inhibit various enzymes participating in the biosynthesis of β-amyloid, and one metabolite, 3-hydroxyanthranilate, is able to directly inhibit neurotoxic β-amyloid oligomerization; however, whilst certain trp metabolites are neuroprotectant, other metabolites, such as quinolinic acid, are directly toxic to neurons and may themselves contribute to AD progression. Trp metabolites also have the ability to influence microglia and associated cytokines in order to modulate the neuroinflammatory and neuroimmune factors which trigger pro-inflammatory cytotoxicity in AD. Finally, trp and various metabolites, including melatonin, are regulators of sleep, with disorders of sleep being an important risk factor for the development of AD. Thus, the involvement of trp biochemistry in AD is multifactorial and offers a plethora of druggable targets in the continuing quest for AD therapeutics.
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Affiliation(s)
- Karl Savonije
- Krembil Research Institute, Toronto Western Hospital, 60 Leonard Avenue, Rm 4KD477, Toronto, ON M5T 0S8, Canada
| | - Donald F. Weaver
- Krembil Research Institute, Toronto Western Hospital, 60 Leonard Avenue, Rm 4KD477, Toronto, ON M5T 0S8, Canada
- Departments of Medicine (Neurology) and Chemistry, University of Toronto, Toronto, ON M5T 0S8, Canada
- Correspondence:
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14
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Zhai Z, Xie D, Qin T, Zhong Y, Xu Y, Sun T. Effect and Mechanism of Exogenous Melatonin on Cognitive Deficits in Animal Models of Alzheimer's Disease: A Systematic review and Meta-analysis. Neuroscience 2022; 505:91-110. [PMID: 36116555 DOI: 10.1016/j.neuroscience.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/05/2022] [Accepted: 09/08/2022] [Indexed: 12/09/2022]
Abstract
Melatonin (MT) has been reported to control and prevent Alzheimer's disease (AD) in the clinic; however, the effect and mechanism of MT on AD have not been specifically described. Therefore, the main purpose of this meta-analysis was to explore the effect and mechanism of MT on AD models by studying behavioural indicators and pathological features. Seven databases were searched and 583 articles were retrieved. Finally, nine studies (13 analyses, 294 animals) were included according to pre-set criteria. Three authors independently judged the selected literature and the methodological quality. Meta-analysis showed that MT markedly ameliorated the learning ability by reducing the escape latency (EL), and the memory deficit was significantly corrected by increasing the dwell time in the target quadrant and crossings over the platform location in the Morris Water Maze (MWM). Among the pathological features, subgroup analysis found that MT may ease the symptoms of AD mainly by reducing the deposition of Aβ40 and Aβ42 in the cortex. In addition, MT exerted a superior effect on ameliorating the learning ability of senescence-related and metabolic AD models, and corrected the memory deficit of the toxin-induced AD model. The study was registered at PROSPERO (CRD42021226594).
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Affiliation(s)
- Zhenwei Zhai
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Danni Xie
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Tao Qin
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Yanmei Zhong
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Ying Xu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, China.
| | - Tao Sun
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China; State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
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15
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Huang H, Li M, Zhang M, Qiu J, Cheng H, Mou X, Chen Q, Li T, Peng J, Li B. Sleep Quality Improvement Enhances Neuropsychological Recovery and Reduces Blood Aβ 42/40 Ratio in Patients with Mild-Moderate Cognitive Impairment. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:1366. [PMID: 34946311 PMCID: PMC8704453 DOI: 10.3390/medicina57121366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 11/16/2022]
Abstract
Background and objectives: Alzheimer's disease is a progressive brain degeneration and is associated with a high prevalence of sleep disorders. Amyloid β peptide-42/40 (Aβ42/40) and Tau-pT181 are the core biomarkers in cerebrospinal fluid and blood. Accumulated data from studies in mouse models and humans demonstrated an aberrant elevation of these biomarkers due to sleep disturbance, especially sleep-disordered breathing (SDB). However, it is not clear if sleep quality improvement reduces the blood levels of Ab42/40 ratio and Tau-pT181 in Alzheimer's disease patients. Materials and Methods: In this prospective study, a longitudinal analysis was conducted on 64 patients with mild-moderate cognition impairment (MCI) due to Alzheimer's disease accompanied by SDB. Another 33 MCI cases without sleep-disordered breathing were included as the control group. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) score system. Neuropsychological assessments were conducted using the Montreal Cognitive Assessment (MoCA), Geriatric Depression Scale (GDS), Clinical Dementia Rating (CDR), 24-h Hamilton Rating Scale for Depression (HRSD-24), and Hamilton Anxiety Rating Scale (HAMA) scoring systems. Aβ42, Aβ40, and Tau-pT181 protein levels in blood specimens were measured using ELISA assays. All patients received donepezil treatment for Alzheimer's disease. SDB was managed with continuous pressure ventilation. Results: A significant correlation was found among PSQI, HRSD-24, HAMA, Aβ42/40 ratio, and Tau-pT181 level in all cases. In addition, a very strong and negative correlation was discovered between education level and dementia onset age. Compared to patients without SDB (33 non-SD cases), patients with SDB (64 SD cases) showed a significantly lower HRSD-24 score and a higher Aβ42/40 ratio Tau-pT181 level. Sleep treatment for patients with SDB significantly improved all neuropsychological scores, Aβ42/40 ratio, and Tau-pT181 levels. However, 11 patients did not completely recover from a sleep disorder (PSQI > 5 post-treatment). In this subgroup of patients, although HAMA score and Tau-pT181 levels were significantly reduced, MoCA and HRSD-24 scores, as well as Aβ42/40 ratio, were not significantly improved. ROC analysis found that the blood Aβ42/40 ratio held the highest significance in predicting sleep disorder occurrence. Conclusions: This is the first clinical study on sleep quality improvement in Alzheimer's disease patients. Sleep quality score was associated with patient depression and anxiety scores, as well as Aβ42/40 ratio and Tau-pT181 levels. A complete recovery is critical for fully improving all neuropsychological assessments, Aβ42/40 ratio, and Tau-pT181 levels. Blood Aβ42/40 ratio is a feasible prognostic factor for predicting sleep quality.
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Affiliation(s)
- Haihua Huang
- Department of Geriatrics, Jianghan Oilfield General Hospital, The Yangtze University School of Medicine, Qianjiang 433121, China; (M.L.); (X.M.); (Q.C.)
- Hubei Clinical Research Center of Dementia and Cognitive Impairment, Wuhan 434300, China
| | - Mingqiu Li
- Department of Geriatrics, Jianghan Oilfield General Hospital, The Yangtze University School of Medicine, Qianjiang 433121, China; (M.L.); (X.M.); (Q.C.)
- Hubei Clinical Research Center of Dementia and Cognitive Impairment, Wuhan 434300, China
| | - Menglin Zhang
- Health Science Center, The Yangtze University School of Medicine, Jingzhou 434023, China;
| | - Jiang Qiu
- Department of Clinical Laboratory, Jianghan Oilfield General Hospital, The Yangtze University School of Medicine, Qianjiang 433121, China;
| | - Haiyan Cheng
- Division of Research & Education Administration, Jianghan Oilfield General Hospital, The Yangtze University School of Medicine, Qianjiang 433121, China;
| | - Xin Mou
- Department of Geriatrics, Jianghan Oilfield General Hospital, The Yangtze University School of Medicine, Qianjiang 433121, China; (M.L.); (X.M.); (Q.C.)
| | - Qinghong Chen
- Department of Geriatrics, Jianghan Oilfield General Hospital, The Yangtze University School of Medicine, Qianjiang 433121, China; (M.L.); (X.M.); (Q.C.)
| | - Tina Li
- Department of Urology, The University of Kansas Medical Center, Kansas City, KS 66160, USA;
| | - Jun Peng
- Department of Nursing, Jianghan Oilfield General Hospital, The Yangtze University School of Medicine, Qianjiang 433121, China;
| | - Benyi Li
- Department of Urology, The University of Kansas Medical Center, Kansas City, KS 66160, USA;
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16
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It's complicated: The relationship between sleep and Alzheimer's disease in humans. Neurobiol Dis 2020; 144:105031. [PMID: 32738506 DOI: 10.1016/j.nbd.2020.105031] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 07/21/2020] [Accepted: 07/26/2020] [Indexed: 01/01/2023] Open
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by an asymptomatic period of amyloid-β (Aβ) deposition as insoluble extracellular plaque, intracellular tau aggregation, neuronal and synaptic loss, and subsequent cognitive dysfunction and dementia. A growing public health crisis, the worldwide prevalence of AD is expected to rise from 46.8 million individuals affected in 2015 to 131.5 million in 2050. Sleep disturbances have been associated with increased future risk of AD. A bi-directional relationship is hypothesized between sleep and AD with sleep disturbances as either markers for AD pathology and/or a mechanism mediating increased risk of AD. In this review, the evidence in humans supporting this complex relationship between sleep and AD will be discussed as well as the therapeutic potential and challenges of treating sleep disturbances to prevent or delay the onset of AD.
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