251
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Siengsukon CF, Nelson E, Williams-Cooke C, Ludwig R, Beck ES, Vidoni ED, Mahnken JD, Stevens S, Drerup M, Bruce J, Burns JM. Cognitive behavioral therapy for insomnia to enhance cognitive function and reduce the rate of Aβ deposition in older adults with symptoms of insomnia: A single-site randomized pilot clinical trial protocol. Contemp Clin Trials 2020; 99:106190. [PMID: 33091586 DOI: 10.1016/j.cct.2020.106190] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 10/16/2020] [Accepted: 10/16/2020] [Indexed: 12/16/2022]
Abstract
Lifestyle interventions to increase exercise and improve diet have been the focus of recent clinical trials to potentially prevent Alzheimer's disease (AD). However, despite the strong links between sleep disruptions, cognitive decline, and AD, sleep enhancement has yet to be targeted as a lifestyle intervention to prevent AD. A recent meta-analysis suggests that approximately 15% of AD may be prevented by an efficacious intervention aimed to reduce sleep disturbances and sleep disorders. Chronic insomnia is the most frequent sleep disorder occurring in at least 40% of older adults. Individuals with insomnia are more likely to be diagnosed with Alzheimer's Disease (AD) and demonstrate decline in cognitive function at long-term follow-up. AD is characterized by the accumulation of amyloid-β (Aβ) plaques and tau tangles in the brain, and growing evidence shows impaired sleep contributes to the accumulation of Aβ. An intervention aimed at improving insomnia may be a critical opportunity for primary prevention to slow cognitive decline and potentially delay the onset of AD. Cognitive behavioral therapy for insomnia (CBT-I) is an efficacious treatment for insomnia, but the use of CBT-I to improve cognitive function and potentially reduce the rate of Aβ accumulation has never been examined. Therefore, the objective of the proposed study is to examine the efficacy of CBT-I on improving cognitive function in older adults with symptoms of insomnia. An exploratory aim is to assess the effect of CBT-I on rate of Aβ accumulation.
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Affiliation(s)
- Catherine F Siengsukon
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, United States of America.
| | - Eryen Nelson
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Cierra Williams-Cooke
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Rebecca Ludwig
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Eber Silveira Beck
- Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Eric D Vidoni
- University of Kansas Alzheimer's Disease Center, Fairway, KS, United States of America
| | - Jonathan D Mahnken
- University of Kansas Alzheimer's Disease Center, Fairway, KS, United States of America; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Suzanne Stevens
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, United States of America
| | - Michelle Drerup
- Sleep Disorders Clinic, Cleveland Clinic, Cleveland, OH, United States of America
| | - Jared Bruce
- Department of Biomedical and Health Informatics, University of Missouri - Kansas City School of Medicine, Kansas City, MO, United States of America
| | - Jeffrey M Burns
- University of Kansas Alzheimer's Disease Center, Fairway, KS, United States of America
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252
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Anstey KJ, Ee N, Eramudugolla R, Jagger C, Peters R. A Systematic Review of Meta-Analyses that Evaluate Risk Factors for Dementia to Evaluate the Quantity, Quality, and Global Representativeness of Evidence. J Alzheimers Dis 2020; 70:S165-S186. [PMID: 31306123 PMCID: PMC6700718 DOI: 10.3233/jad-190181] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background: The translation of evidence on dementia risk factors into clinical advice requires careful evaluation of the methodology and scope of data from which risk estimates are obtained. Objective: To evaluate the quantity, quality, and representativeness of evidence, we conducted a review of reviews of risk factors for Alzheimer’s disease (AD), Vascular dementia (VaD), and Any Dementia. Methods: PubMed, Cochrane library, and the Global Index Medicus were searched to identify meta-analyses of observational studies of risk factors for AD, VaD, and Any Dementia. PROSPERO CRD42017053920. Results: Meta-analysis data were available for 34 risk factors for AD, 26 risk factors for Any Dementia and eight for VaD. Quality of evidence varied greatly in terms of the number of contributing studies, whether data on midlife exposure was available, and consistency of measures. The most evidence was available for cardiovascular risk factors. The most geographically representative evidence (five of six global regions) was available for alcohol, physical activity, diabetes, high midlife BMI, antihypertensives, and motor function. Evidence from Australia/Oceana or Africa was limited. With the exception of diabetes, meta-analysis data were unavailable from Latin America/Caribbean. Midlife specific data were only available for cholesterol and arthritis. Conclusion: There is a lack of midlife specific data, limited data on VaD, and a lack of geographical representation for many risk factors for dementia. The quality, quantity, and representativeness of evidence needs to be considered before recommendations are made about the relevance of risk factors in mid- or late-life or for dementia subtypes.
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Affiliation(s)
- Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia
| | - Nicole Ee
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia
| | | | - Carol Jagger
- Newcastle Institute for Ageing, Newcastle University, Newcastle, UK
| | - Ruth Peters
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia (NeuRA), Sydney, NSW, Australia
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253
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Bubu OM, Umasabor-Bubu OQ, Turner AD, Parekh A, Mullins A, Kam K, Birckbichler M, Fahad M, Mbah AK, Williams NJ, Rapoport DM, de Leon M, Jean-Louis G, Ayappa I, Varga AW, Osorio RS. Self-reported obstructive sleep apnea, amyloid and tau burden, and Alzheimer's disease time-dependent progression. Alzheimers Dement 2020; 17:10.1002/alz.12184. [PMID: 33090679 PMCID: PMC8026765 DOI: 10.1002/alz.12184] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 07/19/2020] [Accepted: 08/11/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Obstructive sleep apnea (OSA) is associated with Alzheimer's disease (AD) biomarkers in cognitively normal (CN) and mild cognitive impaired (MCI) participants. However, independent and combined effects of OSA, amyloid beta (Aβ) and tau-accumulation on AD time-dependent progression risk is unclear. METHODS Study participants grouped by biomarker profile, as described by the A/T/N scheme, where "A" refers to aggregated Aβ, "T" aggregated tau, and "N" to neurodegeneration, included 258 CN (OSA-positive [OSA+] [A+TN+ n = 10, A+/TN- n = 6, A-/TN+ n = 10, A-/TN- n = 6 and OSA-negative [OSA-] [A+TN+ n = 84, A+/TN- n = 11, A-/TN+ n = 96, A-/TN- n = 36]) and 785 MCI (OSA+ [A+TN+ n = 35, A+/TN- n = 15, A-/TN+ n = 25, A-/TN- n = 16] and OSA- [A+TN+ n = 388, A+/TN- n = 28, A-/TN+ n = 164, A-/TN- n = 114]) older-adults from the Alzheimer's Disease Neuroimaging Initiative cohort. Cox proportional hazards regression models estimated the relative hazard of progression from CN-to-MCI and MCI-to-AD, among baseline OSA CN and MCI patients, respectively. Multi-level logistic mixed-effects models with random intercept and slope investigated the synergistic associations of self-reported OSA, Aβ, and tau burden with prospective cognitive decline. RESULTS Independent of TN-status (CN and MCI), OSA+/Aβ+ participants were approximately two to four times more likely to progress to MCI/AD (P < .001) and progressed 6 to 18 months earlier (P < .001), compared to other participants combined (ie, OSA+/Aβ-, OSA-/Aβ+, and OSA-/Aβ-). Notably, OSA+/Aβ- versus OSA-/Aβ- (CN and MCI) and OSA+/TN- versus OSA-/TN- (CN) participants showed no difference in the risk and time-to-MCI/AD progression. Mixed effects models demonstrated OSA synergism with Aβ (CN and MCI [β = 1.13, 95% confidence interval (CI), 0.74 to 1.52, and β = 1.18, 95%CI, 0.82 to 1.54]) respectively, and with tau (MCI [β = 1.31, 95% CI, 0.87 to 1.47]), P < .001 for all. DISCUSSION OSA acts in synergism with Aβ and with tau, and all three acting together result in synergistic neurodegenerative mechanisms especially as Aβ and tau accumulation becomes increasingly abnormal, thus leading to shorter progression time to MCI/AD in CN and MCI-OSA patients, respectively.
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Affiliation(s)
- Omonigho M. Bubu
- Center for Sleep and Brain Health, Department of
Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
- Center for Healthful Behavior Change, Department of
Population Health, New York Grossman School of Medicine, New York, USA
| | - Ogie Q. Umasabor-Bubu
- Department of Epidemiology and Infection Control, State
University New York Downstate Medical Center, Brooklyn, NY, USA
| | - Arlener D Turner
- Center for Sleep and Brain Health, Department of
Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | - Ankit Parekh
- Division of Pulmonary, Critical Care and Sleep Medicine at
the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anna Mullins
- Division of Pulmonary, Critical Care and Sleep Medicine at
the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Korey Kam
- Division of Pulmonary, Critical Care and Sleep Medicine at
the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Mukhtar Fahad
- Department of Epidemiology and Biostatistics, College of
Public Health, University of South Florida, Tampa, FL, USA
| | - Alfred K Mbah
- Department of Epidemiology and Biostatistics, College of
Public Health, University of South Florida, Tampa, FL, USA
| | - Natasha J. Williams
- Center for Healthful Behavior Change, Department of
Population Health, New York Grossman School of Medicine, New York, USA
| | - David M. Rapoport
- Division of Pulmonary, Critical Care and Sleep Medicine at
the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mony de Leon
- Brain Health Imaging Institute, Department of Radiology,
Weill Cornell Medicine, New York, NY, USA
| | - Girardin Jean-Louis
- Center for Healthful Behavior Change, Department of
Population Health, New York Grossman School of Medicine, New York, USA
| | - Indu Ayappa
- Division of Pulmonary, Critical Care and Sleep Medicine at
the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrew W. Varga
- Division of Pulmonary, Critical Care and Sleep Medicine at
the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ricardo S. Osorio
- Center for Sleep and Brain Health, Department of
Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
- Nathan S. Kline Institute for Psychiatric Research,
Orangeburg, New York, USA
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254
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Sadeghmousavi S, Eskian M, Rahmani F, Rezaei N. The effect of insomnia on development of Alzheimer's disease. J Neuroinflammation 2020; 17:289. [PMID: 33023629 PMCID: PMC7542374 DOI: 10.1186/s12974-020-01960-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 09/23/2020] [Indexed: 02/07/2023] Open
Abstract
Alzheimer's disease (AD) is the most common type of dementia and a neurodegenerative disorder characterized by memory deficits especially forgetting recent information, recall ability impairment, and loss of time tracking, problem-solving, language, and recognition difficulties. AD is also a globally important health issue but despite all scientific efforts, the treatment of AD is still a challenge. Sleep has important roles in learning and memory consolidation. Studies have shown that sleep deprivation (SD) and insomnia are associated with the pathogenesis of Alzheimer's disease and may have an impact on the symptoms and development. Thus, sleep disorders have decisive effects on AD; this association deserves more attention in research, diagnostics, and treatment, and knowing this relation also can help to prevent AD through screening and proper management of sleep disorders. This study aimed to show the potential role of SD and insomnia in the pathogenesis and progression of AD.
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Affiliation(s)
- Shaghayegh Sadeghmousavi
- Neuroimaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahsa Eskian
- Neuroimaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Farzaneh Rahmani
- Neuroimaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nima Rezaei
- Neuroimaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
- Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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255
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Li Z, Li J, Yu G, Yu F, Li K, Szanton S. The effect of resistance training on sleep in Chinese older adults: A randomized controlled trial. Geriatr Nurs 2020; 42:289-294. [PMID: 32977992 DOI: 10.1016/j.gerinurse.2020.09.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 09/04/2020] [Accepted: 09/08/2020] [Indexed: 10/23/2022]
Abstract
Sleep disturbances affect approximately half of the older adult population and add additional risks of developing Alzheimer's disease. This study is to test the effects of a 12-week resistance training (RT) program on sleep in older adults residing in an assisted living facility in China. A total of 62 eligible participants were randomly assigned to RT (n = 31) or control group (n = 31). Participants in RT group participated in three 1-hour moderate intensity RT sessions per week for 12 weeks (at least 48 h between sessions). In the overall sample, sleep efficiency increased (P < 0.01), wake after sleep onset (P < 0.01) decreased in participants in RT group at post-intervention, compared to control group. Similar results were found in participants with mild cognitive impairment (MCI). The findings support that RT improves sleep efficiency and decreases sleep fragmentation in older adults in general and in those with MCI.
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Affiliation(s)
- Zhihui Li
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun 130021, China; Nursing department, Qingdao Women and Children's Hospital, No.6 Tongfu Road, Shibei District, Qingdao 266011, China
| | - Junxin Li
- School of Nursing, Johns Hopkins University, Baltimore, MD, United States
| | - Guiling Yu
- Nursing department, Qingdao Women and Children's Hospital, No.6 Tongfu Road, Shibei District, Qingdao 266011, China
| | - Fang Yu
- School of Nursing, University of Minnesota, 5-140 Weaver-Densford Hall 308 Harvard Street SE Minneapolis, MN 55455, United States
| | - Kun Li
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun 130021, China.
| | - Sarah Szanton
- School of Nursing, Johns Hopkins University, Baltimore, MD, United States
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256
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Mander BA. Local Sleep and Alzheimer's Disease Pathophysiology. Front Neurosci 2020; 14:525970. [PMID: 33071726 PMCID: PMC7538792 DOI: 10.3389/fnins.2020.525970] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Accepted: 09/01/2020] [Indexed: 12/11/2022] Open
Abstract
Even prior to the onset of the prodromal stages of Alzheimer's disease (AD), a constellation of sleep disturbances are apparent. A series of epidemiological studies indicate that multiple forms of these sleep disturbances are associated with increased risk for developing mild cognitive impairment (MCI) and AD, even triggering disease onset at an earlier age. Through the combination of causal manipulation studies in humans and rodents, as well as targeted examination of sleep disturbance with respect to AD biomarkers, mechanisms linking sleep disturbance to AD are beginning to emerge. In this review, we explore recent evidence linking local deficits in brain oscillatory function during sleep with local AD pathological burden and circuit-level dysfunction and degeneration. In short, three deficits in the local expression of sleep oscillations have been identified in relation to AD pathophysiology: (1) frequency-specific frontal deficits in slow wave expression during non-rapid eye movement (NREM) sleep, (2) deficits in parietal sleep spindle expression, and (3) deficits in the quality of electroencephalographic (EEG) desynchrony characteristic of REM sleep. These deficits are noteworthy since they differ from that seen in normal aging, indicating the potential presence of an abnormal aging process. How each of these are associated with β-amyloid (Aβ) and tau pathology, as well as neurodegeneration of circuits sensitive to AD pathophysiology, are examined in the present review, with a focus on the role of dysfunction within fronto-hippocampal and subcortical sleep-wake circuits. It is hypothesized that each of these local sleep deficits arise from distinct network-specific dysfunctions driven by regionally-specific accumulation of AD pathologies, as well as their associated neurodegeneration. Overall, the evolution of these local sleep deficits offer unique windows into the circuit-specific progression of distinct AD pathophysiological processes prior to AD onset, as well as their impact on brain function. This includes the potential erosion of sleep-dependent memory mechanisms, which may contribute to memory decline in AD. This review closes with a discussion of the remaining critical knowledge gaps and implications of this work for future mechanistic studies and studies implementing sleep-based treatment interventions.
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Affiliation(s)
- Bryce A. Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
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257
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Maki PM, Thurston RC. Menopause and Brain Health: Hormonal Changes Are Only Part of the Story. Front Neurol 2020; 11:562275. [PMID: 33071945 PMCID: PMC7538803 DOI: 10.3389/fneur.2020.562275] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 08/17/2020] [Indexed: 01/12/2023] Open
Abstract
Most studies of menopause and brain aging have focused on the role of the sex steroid hormone, estradiol, as a key mechanisms contributing to cognitive and brain aging in women. An emerging literature demonstrates that beyond endogenous estradiol levels, menopausal symptoms, particularly vasomotor symptoms (VMS), are also key determinants of menopause-related changes in cognition and brain function. Critically, that literature shows the importance of using objective techniques to identify associations of VMS with memory performance, brain structure, and brain function. While self-report measures are important patient-centered outcomes in women's health research, objective measures of VMS typically relate more strongly to indices of cognitive and brain health. Currently, it is premature to make a causal claim about VMS and memory dysfunction, but initial findings raise the possibility that women with VMS might experience an improvement in cognition with VMS treatment. More generally, these findings underscore the utility of investigating female-specific risk factors for cognitive decline.
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Affiliation(s)
- Pauline M Maki
- Women's Mental Health Research Program, Department of Psychiatry, Psychology and Obstetrics and Gynecology, University of Illinois at Chicago, Chicago, IL, United States
| | - Rebecca C Thurston
- Women's Biobehavioral Health Laboratory, Department of Psychiatry, Epidemiology, and Psychology, University of Pittsburgh, Pittsburgh, PA, United States
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258
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Mirzaei N, Shi H, Oviatt M, Doustar J, Rentsendorj A, Fuchs DT, Sheyn J, Black KL, Koronyo Y, Koronyo-Hamaoui M. Alzheimer's Retinopathy: Seeing Disease in the Eyes. Front Neurosci 2020; 14:921. [PMID: 33041751 PMCID: PMC7523471 DOI: 10.3389/fnins.2020.00921] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/10/2020] [Indexed: 01/18/2023] Open
Abstract
The neurosensory retina emerges as a prominent site of Alzheimer's disease (AD) pathology. As a CNS extension of the brain, the neuro retina is easily accessible for noninvasive, high-resolution imaging. Studies have shown that along with cognitive decline, patients with mild cognitive impairment (MCI) and AD often suffer from visual impairments, abnormal electroretinogram patterns, and circadian rhythm disturbances that can, at least in part, be attributed to retinal damage. Over a decade ago, our group identified the main pathological hallmark of AD, amyloid β-protein (Aβ) plaques, in the retina of patients including early-stage clinical cases. Subsequent histological, biochemical and in vivo retinal imaging studies in animal models and in humans corroborated these findings and further revealed other signs of AD neuropathology in the retina. Among these signs, hyperphosphorylated tau, neuronal degeneration, retinal thinning, vascular abnormalities and gliosis were documented. Further, linear correlations between the severity of retinal and brain Aβ concentrations and plaque pathology were described. More recently, extensive retinal pericyte loss along with vascular platelet-derived growth factor receptor-β deficiency were discovered in postmortem retinas of MCI and AD patients. This progressive loss was closely associated with increased retinal vascular amyloidosis and predicted cerebral amyloid angiopathy scores. These studies brought excitement to the field of retinal exploration in AD. Indeed, many questions still remain open, such as queries related to the temporal progression of AD-related pathology in the retina compared to the brain, the relations between retinal and cerebral changes and whether retinal signs can predict cognitive decline. The extent to which AD affects the retina, including the susceptibility of certain topographical regions and cell types, is currently under intense investigation. Advances in retinal amyloid imaging, hyperspectral imaging, optical coherence tomography, and OCT-angiography encourage the use of such modalities to achieve more accurate, patient- and user-friendly, noninvasive detection and monitoring of AD. In this review, we summarize the current status in the field while addressing the many unknowns regarding Alzheimer's retinopathy.
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Affiliation(s)
- Nazanin Mirzaei
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Haoshen Shi
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Mia Oviatt
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Jonah Doustar
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Altan Rentsendorj
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Dieu-Trang Fuchs
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Julia Sheyn
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Keith L. Black
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Yosef Koronyo
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States
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259
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Sołtys A, Tyburski E. Predictors of mental health problems in formal and informal caregivers of patients with Alzheimer's disease. BMC Psychiatry 2020; 20:435. [PMID: 32887576 PMCID: PMC7487573 DOI: 10.1186/s12888-020-02822-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 08/16/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Caring for a person with Alzheimer's disease (AD) is associated with significant mental burden e.g., depression and anxiety, and difficulties with social, familial, and professional functioning. To date, few studies have examined variables which would allow for a comprehensive and detailed study of the relationship between personal resources and caregiver health status, with a majority of studies focusing on factors that contribute to increased caregiver's burden. Moreover, the available evidence fails to address differences in the functioning of formal and informal carers. Paying proper attention to the problems of nursing home staff can help identify important risk factors. Therefore, this study compared mental health problems in informal and formal caregivers and examined the relationship between mental resources and mental health problems in both groups of caregivers. METHODS This cross-sectional study examined 100 formal (n = 50) and informal (n = 50) caregivers of AD patients. Personal resources were measured with the Social Support Questionnaire (SSQ), the Generalized Self-Efficacy Scale (GSES), and the Sense of Coherence Questionnaire (SCQ), while mental health was assessed with the Depression Assessment Questionnaire (DAQ) and the General Health Questionnaire (GHQ). Multivariate stepwise regression was performed separately for both investigated groups. RESULTS There were no significant differences between informal and formal caregivers in terms of psychological variables, i.e., sense of coherence, social support, self-efficacy, or mental health problems. In contrast, there were different significant predictors of mental health problems in both groups. Comprehensibility (SCQ) was a significant predictor of mental health problems measured by DAQ and self-efficacy (GSES) was a significant predictor of mental health problems measured by GHQ in informal caregivers. For formal caregivers, emotional support (SSQ) and comprehensibility (SCQ) were significant predictors of mental health problems measured by DAQ, while tangible support (SSQ) and meaningfulness (SCQ) were significant predictors of mental health problems measured by GHQ. CONCLUSIONS Personal resources are significant predictors of mental health outcomes in caregivers of AD patients. Preventive actions should therefore include assessment of factors affecting caregivers' mental health in order to provide them with necessary care and create appropriate support groups.
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Affiliation(s)
- Anna Sołtys
- Institute of Psychology, University of Szczecin, 69 Krakowska str, 71-017 Szczecin, Poland
| | - Ernest Tyburski
- Institute of Psychology, SWPS University of Social Sciences and Humanities, 10 Kutrzeby str, 61-719 Poznan, Poland
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260
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Association of sleep with cognition and beta amyloid accumulation in adults with Down syndrome. Neurobiol Aging 2020; 93:44-51. [PMID: 32447011 PMCID: PMC7380565 DOI: 10.1016/j.neurobiolaging.2020.04.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 04/17/2020] [Accepted: 04/19/2020] [Indexed: 12/19/2022]
Abstract
Adults with Down syndrome have an increased risk for both disordered sleep and Alzheimer's disease (AD). In the general population, disrupted sleep has been linked to beta amyloid accumulation, an early pathophysiologic feature of AD. In this study, the association among sleep, beta amyloid, and measures of AD-related cognitive decline was examined in 47 non-demented adults with Down syndrome (aged 26-56 years). Sleep was measured using actigraphy over 7 nights. Pittsburgh Compound B positron emission tomography was used to assess global and striatal beta amyloid burden. Participants had the following clinical AD status: 7 (15%) mild cognitive impairment and 40 (85%) cognitively unaffected. Average length of night-time awakenings was significantly positively associated with striatal beta amyloid and decreased cognitive performance in executive functioning and motor planning and coordination. Findings suggest that disrupted sleep is associated with beta amyloid accumulation and cognitive features of preclinical AD in Down syndrome. Early identification and treatment of sleep problems could be a lifestyle intervention that may delay beta amyloid accumulation and cognitive decline in this AD vulnerable group.
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261
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Hoile R, Tabet N, Smith H, Bremner S, Cassell J, Ford E. Are symptoms of insomnia in primary care associated with subsequent onset of dementia? A matched retrospective case-control study. Aging Ment Health 2020; 24:1466-1471. [PMID: 31791142 DOI: 10.1080/13607863.2019.1695737] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Objective: There is evidence from neuroimaging studies of an association between insomnia and early dementia biomarkers, but observational studies have so far failed to show a clear association between insomnia and the later development of dementia. We investigated the association between dementia diagnosis and recording of insomnia symptoms 5-10 years earlier in primary care.Method: A case-control study using data from the Clinical Practice Research Datalink. 15,209 cases with dementia (either Alzheimer's, vascular, mixed or non-specific subtypes) at least 65 years old at time of diagnosis, were matched with the same number of controls on year of birth and gender. We ascertained the presence of insomnia symptoms during a five-year period starting 10 years before the index date. Odds ratios for developing dementia were estimated using logistic regression after controlling for hypnotic exposure and physical and mental health comorbidities.Results: The adjusted odds ratio for dementia in those with previous insomnia was 1.34 (95% CI = 1.20-1.50).Conclusion: There is an association between dementia and previous insomnia. It may be possible to incorporate insomnia into predictive tools for dementia.
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Affiliation(s)
- Richard Hoile
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK.,Memory Assessment Service, Grove House, Crowborough, UK
| | - Naji Tabet
- Centre for Dementia Studies, Trafford Centre, University of Sussex, Falmer, UK
| | - Helen Smith
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore
| | - Stephen Bremner
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK
| | - Jackie Cassell
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK
| | - Elizabeth Ford
- Department of Primary Care and Public Health, Brighton and Sussex Medical School, Falmer, UK
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262
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Ennerfelt HE, Lukens JR. The role of innate immunity in Alzheimer's disease. Immunol Rev 2020; 297:225-246. [PMID: 32588460 PMCID: PMC7783860 DOI: 10.1111/imr.12896] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 05/23/2020] [Accepted: 05/28/2020] [Indexed: 12/12/2022]
Abstract
The amyloid hypothesis has dominated Alzheimer's disease (AD) research for almost 30 years. This hypothesis hinges on the predominant clinical role of the amyloid beta (Aβ) peptide in propagating neurofibrillary tangles (NFTs) and eventual cognitive impairment in AD. Recent research in the AD field has identified the brain-resident macrophages, known as microglia, and their receptors as integral regulators of both the initiation and propagation of inflammation, Aβ accumulation, neuronal loss, and memory decline in AD. Emerging studies have also begun to reveal critical roles for distinct innate immune pathways in AD pathogenesis, which has led to great interest in harnessing the innate immune response as a therapeutic strategy to treat AD. In this review, we will highlight recent advancements in our understanding of innate immunity and inflammation in AD onset and progression. Additionally, there has been mounting evidence suggesting pivotal contributions of environmental factors and lifestyle choices in AD pathogenesis. Therefore, we will also discuss recent findings, suggesting that many of these AD risk factors influence AD progression via modulation of microglia and immune responses.
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Affiliation(s)
- Hannah E. Ennerfelt
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia, Charlottesville, VA 22908, USA
- Neuroscience Graduate Program, University of Virginia, Charlottesville, VA 22908, USA
- Cell and Molecular Biology Training Program, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - John R. Lukens
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia, Charlottesville, VA 22908, USA
- Neuroscience Graduate Program, University of Virginia, Charlottesville, VA 22908, USA
- Cell and Molecular Biology Training Program, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
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263
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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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264
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Budin-Ljøsne I, Friedman BB, Suri S, Solé-Padullés C, Düzel S, Drevon CA, Baaré WFC, Mowinckel AM, Zsoldos E, Madsen KS, Carver RB, Ghisletta P, Arnesen MR, Bartrés Faz D, Brandmaier AM, Fjell AM, Kvalbein A, Henson RN, Kievit RA, Nawijn L, Pochet R, Schnitzler A, Walhovd KB, Zasiekina L. The Global Brain Health Survey: Development of a Multi-Language Survey of Public Views on Brain Health. Front Public Health 2020; 8:387. [PMID: 32923418 PMCID: PMC7456866 DOI: 10.3389/fpubh.2020.00387] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 07/02/2020] [Indexed: 12/24/2022] Open
Abstract
Background: Brain health is a multi-faceted concept used to describe brain physiology, cognitive function, mental health and well-being. Diseases of the brain account for one third of the global burden of disease and are becoming more prevalent as populations age. Diet, social interaction as well as physical and cognitive activity are lifestyle factors that can potentially influence facets of brain health. Yet, there is limited knowledge about the population's awareness of brain health and willingness to change lifestyle to maintain a healthy brain. This paper introduces the Global Brain Health Survey protocol, designed to assess people's perceptions of brain health and factors influencing brain health. Methods: The Global Brain Health Survey is an anonymous online questionnaire available in 14 languages to anyone above the age of 18 years. Questions focus on (1) willingness and motivation to maintain or improve brain health, (2) interest in learning more about individual brain health using standardized tests, and (3) interest in receiving individualized support to take care of own brain health. The survey questions were developed based on results from a qualitative interview study investigating brain health perceptions among participants in brain research studies. The survey includes 28 questions and takes 15–20 min to complete. Participants provide electronically informed consent prior to participation. The current survey wave was launched on June 4, 2019 and will close on August 31, 2020. We will provide descriptive statistics of samples distributions including analyses of differences as a function of age, gender, education, country of residence, and we will examine associations between items. The European Union funded Lifebrain project leads the survey in collaboration with national brain councils in Norway, Germany, and Belgium, Brain Foundations in the Netherlands and Sweden, the National University of Ostroh Academy and the Women's Brain Project. Discussion: Results from this survey will provide new insights in peoples' views on brain health, in particular, the extent to which the adoption of positive behaviors can be encouraged. The results will contribute to the development of policy recommendations for supporting population brain health, including measures tailored to individual needs, knowledge, motivations and life situations.
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Affiliation(s)
- Isabelle Budin-Ljøsne
- Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Bodorkos Friedman
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Sana Suri
- Department of Psychiatry and Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Cristina Solé-Padullés
- Department of Medicine, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Christian A Drevon
- Vitas AS, Oslo, Norway.,Department of Nutrition, Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Athanasia Monika Mowinckel
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Enikő Zsoldos
- Department of Psychiatry and Wellcome Centre for Integrative Neuroimaging (WIN), University of Oxford, Oxford, United Kingdom
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Rebecca Bruu Carver
- Communication Department, Norwegian Institute of Public Health, Oslo, Norway
| | - Paolo Ghisletta
- Methodology and Data Analysis Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland.,Faculty of Psychology, Swiss Distance University Institute, Brig, Switzerland.,Swiss National Centre of Competence in Research LIVES, University of Geneva, Geneva, Switzerland
| | - Mari R Arnesen
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - David Bartrés Faz
- Department of Medicine, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Anders Martin Fjell
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | | | - Richard N Henson
- MRC Cognition and Brain Sciences Unit, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
| | - Laura Nawijn
- Department of Psychiatry, Amsterdam University Medical Centers, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Roland Pochet
- Belgian Brain Council, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Alfons Schnitzler
- Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, German Brain Council, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kristine B Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Larysa Zasiekina
- The Ukrainian Psychotrauma Center, Lesya Ukrainka Eastern European National University, Lutsk, Ukraine
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265
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Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, Brayne C, Burns A, Cohen-Mansfield J, Cooper C, Costafreda SG, Dias A, Fox N, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Ogunniyi A, Orgeta V, Ritchie K, Rockwood K, Sampson EL, Samus Q, Schneider LS, Selbæk G, Teri L, Mukadam N. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet 2020; 396:413-446. [PMID: 32738937 PMCID: PMC7392084 DOI: 10.1016/s0140-6736(20)30367-6] [Citation(s) in RCA: 4850] [Impact Index Per Article: 1212.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 01/31/2020] [Accepted: 02/07/2020] [Indexed: 02/06/2023]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - David Ames
- National Ageing Research Institute and Academic Unit for Psychiatry of Old Age, University of Melbourne, Royal Melbourne Hospital, Parkville, VIC, Australia
| | | | - Sube Banerjee
- Faculty of Health: Medicine, Dentistry and Human Sciences, University of Plymouth, Plymouth, UK
| | - Carol Brayne
- Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Alistair Burns
- Department of Old Age Psychiatry, University of Manchester, Manchester, UK
| | - Jiska Cohen-Mansfield
- Department of Health Promotion, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Heczeg Institute on Aging, Tel Aviv University, Tel Aviv, Israel; Minerva Center for Interdisciplinary Study of End of Life, Tel Aviv University, Tel Aviv, Israel
| | - Claudia Cooper
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Amit Dias
- Department of Preventive and Social Medicine, Goa Medical College, Goa, India
| | - Nick Fox
- Dementia Research Centre, UK Dementia Research Institute, University College London, London, UK; Institute of Neurology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Laura N Gitlin
- Center for Innovative Care in Aging, Johns Hopkins University, Baltimore, MA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | | | - Vasiliki Orgeta
- Division of Psychiatry, University College London, London, UK
| | - Karen Ritchie
- Inserm, Unit 1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine Dalhousie University, Halifax, NS, Canada
| | - Elizabeth L Sampson
- Division of Psychiatry, University College London, London, UK; Barnet, Enfield, and Haringey Mental Health Trust, London, UK
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MA, USA
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, Leonard Davis School of Gerontology of the University of Southern California, Los Angeles, CA, USA
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Linda Teri
- Department Psychosocial and Community Health, School of Nursing, University of Washington, Seattle, WA, USA
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
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266
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Magierski R, Sobow T, Schwertner E, Religa D. Pharmacotherapy of Behavioral and Psychological Symptoms of Dementia: State of the Art and Future Progress. Front Pharmacol 2020; 11:1168. [PMID: 32848775 PMCID: PMC7413102 DOI: 10.3389/fphar.2020.01168] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 07/17/2020] [Indexed: 12/12/2022] Open
Abstract
The core symptoms of different dementia subtypes are the behavioral and psychological symptoms of dementia (BPSD) and its neuropsychiatric symptoms (NPS). BPSD symptoms may occur at any stage in the case of dementia due to Alzheimer's disease (AD), whereas they tend to occur early on in the case of its behavioral variant frontotemporal dementia or dementia with Lewy bodies and are essential for diagnosis. BPSD treatment consists of non-pharmacological as well as pharmacological interventions, with non-pharmacological interactions being suggested as first-line treatment. Agitation, psychotic features, apathy, depression, and anxiety may not respond to acetylcholinesterase inhibitors or memantine in AD cases; therefore, antipsychotics, antidepressants, sedative drugs or anxiolytics, and antiepileptic drugs are typically prescribed. However, such management of BPSD can be complicated by hypersensitivity to antipsychotic drugs, as observed in DLB, and a lack of effective pro-cognitive treatment in the case of frontotemporal dementia. The present paper reviews current knowledge of the management of BPSD and its limitations and discusses on-going clinical trials and future therapeutic options.
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Affiliation(s)
- Radoslaw Magierski
- Department of Old Age Psychiatry and Psychotic Disorders, Medical University of Lodz, Lodz, Poland
| | - Tomasz Sobow
- Dialog Therapy Centre, Warsaw & Institute of Psychology, University of Lodz, Lodz, Poland
| | - Emilia Schwertner
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden
| | - Dorota Religa
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.,Tema Aging, Karolinska University Hospital, Stockholm, Sweden
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267
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Khalid S, Sambamoorthi U, Innes KE. Non-Cancer Chronic Pain Conditions and Risk for Incident Alzheimer's Disease and Related Dementias in Community-Dwelling Older Adults: A Population-Based Retrospective Cohort Study of United States Medicare Beneficiaries, 2001-2013. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E5454. [PMID: 32751107 PMCID: PMC7432104 DOI: 10.3390/ijerph17155454] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/13/2020] [Accepted: 07/23/2020] [Indexed: 01/02/2023]
Abstract
Accumulating evidence suggests that certain chronic pain conditions may increase risk for incident Alzheimer's disease and related dementias (ADRD). Rigorous longitudinal research remains relatively sparse, and the relation of overall chronic pain condition burden to ADRD risk remains little studied, as has the potential mediating role of sleep and mood disorders. In this retrospective cohort study, we investigated the association of common non-cancer chronic pain conditions (NCPC) at baseline to subsequent risk for incident ADRD, and assessed the potential mediating effects of mood and sleep disorders, using baseline and 2-year follow-up data using 11 pooled cohorts (2001-2013) drawn from the U.S. Medicare Current Beneficiaries Survey (MCBS). The study sample comprised 16,934 community-dwelling adults aged ≥65 and ADRD-free at baseline. NCPC included: headache, osteoarthritis, joint pain, back or neck pain, and neuropathic pain, ascertained using claims data; incident ADRD (N = 1149) was identified using claims and survey data. NCPC at baseline remained associated with incident ADRD after adjustment for sociodemographics, lifestyle characteristics, medical history, medications, and other factors (adjusted odds ratio (AOR) for any vs. no NCPC = 1.21, 95% confidence interval (CI) = 1.04-1.40; p = 0.003); the strength and magnitude of this association rose significantly with increasing number of diagnosed NCPCs (AOR for 4+ vs. 0 conditions = 1.91, CI = 1.31-2.80, p-trend < 0.00001). Inclusion of sleep disorders and/or depression/anxiety modestly reduced these risk estimates. Sensitivity analyses yielded similar findings. NCPC was significantly and positively associated with incident ADRD; this association may be partially mediated by mood and sleep disorders. Additional prospective studies with longer-term follow-up are warranted to confirm and extend our findings.
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Affiliation(s)
- Sumaira Khalid
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV 26506, USA;
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, West Virginia University School of Pharmacy, Morgantown, WV 26506, USA;
| | - Kim E. Innes
- Department of Epidemiology, West Virginia University School of Public Health, Morgantown, WV 26506, USA;
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268
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Guo T, Zhang D, Zeng Y, Huang TY, Xu H, Zhao Y. Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer's disease. Mol Neurodegener 2020; 15:40. [PMID: 32677986 PMCID: PMC7364557 DOI: 10.1186/s13024-020-00391-7] [Citation(s) in RCA: 453] [Impact Index Per Article: 113.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 06/17/2020] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common neurodegenerative disorder seen in age-dependent dementia. There is currently no effective treatment for AD, which may be attributed in part to lack of a clear underlying mechanism. Studies within the last few decades provide growing evidence for a central role of amyloid β (Aβ) and tau, as well as glial contributions to various molecular and cellular pathways in AD pathogenesis. Herein, we review recent progress with respect to Aβ- and tau-associated mechanisms, and discuss glial dysfunction in AD with emphasis on neuronal and glial receptors that mediate Aβ-induced toxicity. We also discuss other critical factors that may affect AD pathogenesis, including genetics, aging, variables related to environment, lifestyle habits, and describe the potential role of apolipoprotein E (APOE), viral and bacterial infection, sleep, and microbiota. Although we have gained much towards understanding various aspects underlying this devastating neurodegenerative disorder, greater commitment towards research in molecular mechanism, diagnostics and treatment will be needed in future AD research.
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Affiliation(s)
- Tiantian Guo
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, China
| | - Denghong Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, China
| | - Yuzhe Zeng
- Department of Orthopaedics, Orthopaedic Center of People's Liberation Army, The Affiliated Southeast Hospital of Xiamen University, Zhangzhou, China
| | - Timothy Y Huang
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA.
| | - Huaxi Xu
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA.
| | - Yingjun Zhao
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, China.
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269
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Nicholson K, Rodrigues R, Anderson KK, Wilk P, Guaiana G, Stranges S. Sleep behaviours and multimorbidity occurrence in middle-aged and older adults: findings from the Canadian Longitudinal Study on Aging (CLSA). Sleep Med 2020; 75:156-162. [PMID: 32858355 DOI: 10.1016/j.sleep.2020.07.002] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 05/22/2020] [Accepted: 07/04/2020] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Poor sleep quality and reduced sleep duration impact over half of older adults and are associated with adverse health outcomes, such as multiple chronic conditions (multimorbidity) and reduced longevity. Our objective was to examine the relationship between sleep behaviours and multimorbidity in Canada. METHODS We analysed data from the Canadian Longitudinal Study on Aging (CLSA), a cross-sectional national health survey of community-dwelling adults over the age of 45 years. A total of 30,011 participants had physiological and psychosocial data collected at baseline. Sleep measures included self-reported sleep duration (short: <6 h; normal: 6-8 h; long: >8 h) and sleep quality (dissatisfied/very dissatisfied; neutral; satisfied/very satisfied). Multimorbidity was defined using two definitions (public health and primary care) and two cut-points (2 or more and 3 or more chronic conditions). RESULTS Approximately 70% were living with multimorbidity using the primary care definition (females: 67.9%; males 57.9%), whereas approximately 30% were living with multimorbidity using the public health definition (females: 30.9%; males: 24.0%). Adjusted analyses indicated that the odds of multimorbidity were higher for participants who selfreported either short or long sleep duration, as well as dissatisfaction with sleep quality. Associations were stronger among younger age groups (45-54 years and 55-64 years). CONCLUSIONS Disrupted sleep may be a risk factor for multimorbidity across sexes and age groups. It is necessary to understand the potential impact of sleep on the risk of multimorbidity to inform both clinical and public health guidelines for the prevention and management of this major health issue.
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Affiliation(s)
- Kathryn Nicholson
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
| | - Rebecca Rodrigues
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
| | - Kelly K Anderson
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
| | - Piotr Wilk
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Department of Paediatrics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
| | - Giuseppe Guaiana
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
| | - Saverio Stranges
- Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.
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270
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Impact of Residential Green Space on Sleep Quality and Sufficiency in Children and Adolescents Residing in Australia and Germany. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17134894. [PMID: 32645895 PMCID: PMC7369701 DOI: 10.3390/ijerph17134894] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 06/24/2020] [Accepted: 06/25/2020] [Indexed: 01/23/2023]
Abstract
Increasing evidence suggests adults living in greener areas tend to have more favourable sleep-related outcomes, but children and adolescents are under-researched. We hypothesised that children and adolescents living in greener areas would have better quality and more sufficient levels of sleep on average, especially within the context of high traffic noise exposure. These hypotheses were tested using multilevel logistic regressions fitted on samples from the nationally representative Longitudinal Study of Australian Children (10–11 years old, n = 3469, and 14–15 years old, n = 2814) and the GINIplus and LISA cohorts (10 years old, n = 1461, and 15 years old, n = 4172) from the Munich, Wesel, and Leipzig areas of Germany. Questionnaire-based binary indicators of sleep sufficiency and sleep quality in each cohort were assessed with respect to objectively measured green space exposures adjusting for age, sex, and maternal education. Models were augmented with proxy measures of traffic noise and two-way interaction terms to test for effect modification. Cross-tabulations illustrated little convincing evidence of association between green space and insufficient sleep or poor sleep quality in either sample, except for insufficient sleep among 10 year old participants in Germany. These null findings were replicated in adjusted models. The proxy for traffic noise was associated with poor quality sleep in 15 year old participants in Germany, but no convincing evidence of modified association with green space was observed.
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271
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Neurostimulation techniques to enhance sleep and improve cognition in aging. Neurobiol Dis 2020; 141:104865. [DOI: 10.1016/j.nbd.2020.104865] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 03/16/2020] [Accepted: 04/02/2020] [Indexed: 01/09/2023] Open
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272
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Robbins R, Sonnega A, Turner RW, Jean-Louis G, Butler M, Osorio RS, Langa KM. Sleep Difficulties and Cognition for 10 Years in a National Sample of U.S. Older Adults. Innov Aging 2020; 4:igaa025. [PMID: 32782976 PMCID: PMC7408188 DOI: 10.1093/geroni/igaa025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Indexed: 12/27/2022] Open
Abstract
Background and Objectives Sleep difficulties are common among older adults and are associated with cognitive decline. We used data from a large, nationally representative longitudinal survey of adults aged older than 50 in the United States to examine the relationship between specific sleep difficulties and cognitive function over time. Research Design and Methods Longitudinal data from the 2004–2014 waves of the Health and Retirement Study were used in the current study. We examined sleep difficulties and cognitive function within participants and across time (n = 16 201). Sleep difficulty measures included difficulty initiating sleep, nocturnal awakenings, early morning awakenings, and waking up feeling rested from rarely/never (1) to most nights (3). The modified Telephone Interview for Cognitive Status was used to measure cognitive function. Generalized linear mixed models were used with time-varying covariates to examine the relationship between sleep difficulties and cognitive function over time. Results In covariate-adjusted models, compared to “never” reporting sleep difficulty, difficulty initiating sleep “most nights” was associated with worse cognitive function over time (Year 2014: b = −0.40, 95% CI: −0.63 to −0.16, p < .01) as was difficulty waking up too early “most nights” (Year 2014: b = −0.31, 95% CI: −0.56 to −0.07, p < .05). In covariate-adjusted analyses, compared to “never” reporting waking up feeling rested, cognitive function was higher among those who reported waking up feeling rested “some nights” (Year 2010: b = 0.21, 95% CI: 0.02 to 0.40, p < .05). Discussion and Implications Our findings highlight an association between early morning awakenings and worse cognitive function, but also an association between waking up feeling rested and better cognitive function over time.
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Affiliation(s)
- Rebecca Robbins
- Division of Sleep and Circadian Disorders, Brigham & Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Amanda Sonnega
- Survey Research Center Institute for Social Research, The University of Michigan, Ann Arbor
| | - Robert W Turner
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, District of Columbia
| | - Girardin Jean-Louis
- Center for Healthful Behavior Change, Department of Population Health, NYU Langone Health.,Department of Psychiatry, NYU Langone Health
| | - Mark Butler
- Center for Healthful Behavior Change, Department of Population Health, NYU Langone Health
| | | | - Kenneth M Langa
- Department of Internal Medicine, Institute for Social Research, Institute for Healthcare Policy and Innovation, Veterans Affairs Ann Arbor Healthcare System, University of Michigan
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273
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Lysen TS, Luik AI, Ikram MK, Tiemeier H, Ikram MA. Actigraphy-estimated sleep and 24-hour activity rhythms and the risk of dementia. Alzheimers Dement 2020; 16:1259-1267. [PMID: 32558256 PMCID: PMC7984295 DOI: 10.1002/alz.12122] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 03/24/2020] [Accepted: 04/30/2020] [Indexed: 12/17/2022]
Abstract
Introduction We investigated and compared associations of objective estimates of sleep and 24‐hour activity rhythms using actigraphy with risk of dementia. Methods We included 1322 non‐demented participants from the prospective, population‐based Rotterdam Study cohort with valid actigraphy data (mean age 66 ± 8 years, 53% women), and followed them for up to 11.2 years to determine incident dementia. Results During follow‐up, 60 individuals developed dementia, of which 49 had Alzheimer's disease (AD). Poor sleep as indicated by longer sleep latency, wake after sleep onset, and time in bed and lower sleep efficiency, as well as an earlier “lights out” time, were associated with increased risk of dementia, especially AD. We found no associations of 24‐hour activity rhythms with dementia risk. Discussion Poor sleep, but not 24‐hour activity rhythm disturbance, is associated with increased risk of dementia. Actigraphy‐estimated nighttime wakefulness may be further targeted in etiologic or risk prediction studies.
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Affiliation(s)
- Thom S. Lysen
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - M. Kamran Ikram
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
- Department of Neurology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Henning Tiemeier
- Department of Social and Behavioral ScienceHarvard TH Chan School of Public HealthBostonMassachusettsUSA
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MCUniversity Medical CenterRotterdamthe Netherlands
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274
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Lo JC, Chee MWL. Cognitive effects of multi-night adolescent sleep restriction: current data and future possibilities. Curr Opin Behav Sci 2020. [DOI: 10.1016/j.cobeha.2019.12.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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275
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Ashford JW. Treatment of Alzheimer's Disease: Trazodone, Sleep, Serotonin, Norepinephrine, and Future Directions. J Alzheimers Dis 2020; 67:923-930. [PMID: 30776014 PMCID: PMC6398534 DOI: 10.3233/jad-181106] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In this issue, an article by La et al. provides evidence that trazodone delayed cognitive decline in 25 participants with Alzheimer's disease (AD), mild cognitive impairment, or normal cognition. For participants considered to have AD pathology, trazodone non-users declined at a rate 2.4 times greater than those taking trazodone for sleep over a 4-year period. In the analysis of sleep complaints, the relationship between trazodone, a widely used medication for sleep problems in the elderly, and cognition was associated with subjective improvement of sleep disruption. Due to the design of the study, it was not possible to prove that the benefit of slowing cognitive decline was due specifically to the improvement in sleep. However, trazodone uniquely improves the deeper phases of slow-wave sleep. Other sedative medications are generally associated with worse cognitive function over time, and they do not improve sleep characteristics as does trazodone. Trazodone has a variety of effects on several monoaminergic mechanisms: a potent serotonin 5-HT2A and α1-adrenergic receptor antagonist, a weak serotonin reuptake inhibitor, and a weak antihistamine or histamine H1 receptor inverse agonist. Because of the potential importance of this finding, further discussion is provided on the roles that trazodone may play in the modulation of monoamines, cognition, and the development of AD. If trazodone really does provide such a dramatic slowing in the development of dementia associated with AD, a great deal more research on trazodone is needed, including environmental and behavioral factors related to improvement of sleep, energy management, and neuroplasticity.
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Affiliation(s)
- John Wesson Ashford
- War Related Illness and Injury Study Center, VA Palo Alto Health Care System and Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
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276
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Hudon C, Escudier F, De Roy J, Croteau J, Cross N, Dang-Vu TT, Zomahoun HTV, Grenier S, Gagnon JF, Parent A, Bruneau MA, Belleville S. Behavioral and Psychological Symptoms that Predict Cognitive Decline or Impairment in Cognitively Normal Middle-Aged or Older Adults: a Meta-Analysis. Neuropsychol Rev 2020; 30:558-579. [PMID: 32394109 DOI: 10.1007/s11065-020-09437-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 03/30/2020] [Indexed: 12/12/2022]
Abstract
Epidemiological studies have revealed that behavioral and psychological (or non-cognitive) symptoms are risk factors for cognitive decline in older adults. This study aimed to systematically review the literature and determine which behavioral and psychological symptoms are most predictive of future cognitive decline among individuals with no pre-existing cognitive impairments. The selected studies included middle-aged or older adults without cognitive impairments. The predictors were assessed using behavioral and psychological questionnaires, or diagnostic interviews, to identify non-cognitive symptoms or psychiatric clinical conditions. The follow-up period was at least one year, and the design of the selected studies was either retrospective or prospective. This study compared individuals with and without non-cognitive manifestations and resulted in one of three outcomes: (a) a score change on a cognitive measure, (b) a diagnosis of mild cognitive impairment, or (c) a diagnosis of Alzheimer's disease or dementia. Four online databases were searched for eligible studies from the database inception to January 17, 2017: MEDLINE (PubMed), Embase (OVID), PsycINFO, and Web of Science. Pooled effect sizes were estimated using a random-effect model. Higgins I2, the Q statistic, and tau-squared were used to quantify the observed heterogeneity between the studies. Results indicate that depression and sleep duration (long and short) were the most consistent associations between behavioral or psychological symptoms and cognitive decline. This meta-analysis supports the need to assess behavioral and psychological symptoms in cognitively intact older adults to identify those who are at risk for cognitive decline.
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Affiliation(s)
- Carol Hudon
- École de psychologie, Université Laval, 2601, ch. de la Canardière (F-2400), Québec, QC, G1J 2G3, Canada. .,CERVO Brain Research Centre, Québec, QC, Canada.
| | - Frédérique Escudier
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada
| | - Jessie De Roy
- Département de psychologie, Université du Québec à Montréal, Montréal, QC, Canada.,Centre de recherche, Hôpital du Sacré-Cœur de Montréal, CIUSSS-NÎM, Montréal, QC, Canada
| | - Jordie Croteau
- Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit, Université Laval, Québec, QC, Canada.,Population Health and Practice-Changing Research Group, Research Centre of CHU de Québec-Université Laval, Québec, QC, Canada
| | - Nathan Cross
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada.,Department of Health, Kinesiology and Applied Physiology, Concordia University, Montréal, QC, Canada
| | - Thien Thanh Dang-Vu
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada.,Department of Health, Kinesiology and Applied Physiology, Concordia University, Montréal, QC, Canada
| | - Hervé Tchala Vignon Zomahoun
- Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit, Université Laval, Québec, QC, Canada.,Population Health and Practice-Changing Research Group, Research Centre of CHU de Québec-Université Laval, Québec, QC, Canada
| | - Sébastien Grenier
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada.,Département de psychologie, Université de Montréal, Montréal, QC, Canada
| | - Jean-François Gagnon
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada.,Département de psychologie, Université du Québec à Montréal, Montréal, QC, Canada.,Centre de recherche, Hôpital du Sacré-Cœur de Montréal, CIUSSS-NÎM, Montréal, QC, Canada
| | | | - Marie-Andrée Bruneau
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada.,Département de psychiatrie, Université de Montréal, Montréal, QC, Canada
| | - Sylvie Belleville
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada.,Département de psychologie, Université de Montréal, Montréal, QC, Canada
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Brachem C, Winkler A, Tebrügge S, Weimar C, Erbel R, Jöckel KH, Stang A, Dragano N, Moebus S, Kowall B, Jokisch M. Associations between self-reported sleep characteristics and incident mild cognitive impairment: The Heinz Nixdorf Recall Cohort Study. Sci Rep 2020; 10:6542. [PMID: 32300149 PMCID: PMC7162850 DOI: 10.1038/s41598-020-63511-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 03/27/2020] [Indexed: 01/13/2023] Open
Abstract
Associations of sleep characteristics with mild cognitive impairment (MCI) have been examined in cross-sectional, but rarely in longitudinal studies. Incident MCI and sleep characteristics were assessed in 1,890 participants of the first and second follow-up of the Heinz Nixdorf Recall study, a population-based cohort study in Germany (age at first follow-up 50-80 years, mean follow-up 5.2 years). MCI was assessed with extensive cognitive tests. Sleep questionnaires including PSQI (Pittsburgh Sleep Quality Index) were used to assess sleep quality, sleep disturbances, time asleep, and time in bed. Relative risks (RR) of developing MCI when exposed to sleep characteristics were assessed in regression models adjusted for sociodemographic and cardiovascular risk factors. Poor sleep quality (PSQI > 5) (RR = 1.43, 95% CI: 1.12-1.82, fully adjusted, reference: PSQI ≤ 5) and difficulties initiating sleep (almost nightly versus never) (RR = 1.40, 0.94-2.08) were associated with incident MCI. For time in bed, the risk of MCI was increased for ≤ 5 hours (RR = 2.86, 1.24─6.60, reference:7 to <8 hours). In this longitudinal study with older participants, MCI risk was increased in persons with poor sleep quality, difficulties initiating sleep, and short time in bed.
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Affiliation(s)
- Christian Brachem
- Nutritional Epidemiology, Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany
| | - Angela Winkler
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Sarah Tebrügge
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Christian Weimar
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Andreas Stang
- Center of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
- School of Public Health, Department of Epidemiology Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA
| | - Nico Dragano
- Institute of Medical Sociology, Medical Faculty, University of Duesseldorf, Duesseldorf, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Bernd Kowall
- Center of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany.
| | - Martha Jokisch
- Department of Neurology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany
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278
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Kyle SD, Hurry MED, Emsley R, Marsden A, Omlin X, Juss A, Spiegelhalder K, Bisdounis L, Luik AI, Espie CA, Sexton CE. The effects of digital cognitive behavioral therapy for insomnia on cognitive function: a randomized controlled trial. Sleep 2020; 43:5777024. [DOI: 10.1093/sleep/zsaa034] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/07/2020] [Indexed: 11/14/2022] Open
Abstract
AbstractStudy ObjectivesWe sought to examine the impact of digital cognitive behavioral therapy (dCBT) for insomnia on both self-reported cognitive impairment and objective cognitive performance.MethodsThe Defining the Impact of Sleep improvement on Cognitive Outcomes (DISCO) trial was an online, two-arm, single-blind, randomized clinical trial of dCBT versus wait-list control. Participants were aged 25 years and older, met DSM-5 diagnostic criteria for insomnia disorder, and reported difficulties with concentration or memory. Assessments were carried out online at baseline, and 10 and 24 weeks post-randomization. The primary outcome measure was self-reported cognitive impairment, assessed with the British Columbia Cognitive Complaints Inventory (BC-CCI). Secondary outcomes included tests of cognitive performance, insomnia symptoms, cognitive failures, fatigue, sleepiness, depression, and anxiety.ResultsFour hundred and ten participants with insomnia were recruited and assigned to dCBT (N = 205) or wait-list control (N = 205). At 10 weeks post-randomization the estimated adjusted mean difference for the BC-CCI was −3.03 (95% CI: −3.60, −2.47; p < 0.0001, d = −0.86), indicating that participants in the dCBT group reported less cognitive impairment than the control group. These effects were maintained at 24 weeks (d = −0.96) and were mediated, in part, via reductions in insomnia severity and increased sleep efficiency. Treatment effects in favor of dCBT, at both 10 and 24 weeks, were found for insomnia severity, sleep efficiency, cognitive failures, fatigue, sleepiness, depression, and anxiety. We found no between-group differences in objective tests of cognitive performance.ConclusionsOur study shows that dCBT robustly decreases self-reported cognitive impairment at post-treatment and these effects are maintained at 6 months.
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Affiliation(s)
- Simon D Kyle
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Madeleine E D Hurry
- Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Richard Emsley
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Antonia Marsden
- Division of Population Health, Health Services Research & Primary Care, University of Manchester, Manchester, UK
| | - Ximena Omlin
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Amender Juss
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, Medical Center – University of Freiburg, Freiburg, Germany
| | - Lampros Bisdounis
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Annemarie I Luik
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Colin A Espie
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Big Health Ltd, London, UK
| | - Claire E Sexton
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA
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279
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Whiteley WN, Anand S, Bangdiwala SI, Bosch J, Canavan M, Chertkow H, Gerstein HC, Gorelick P, O’Donnell M, Paré G, Pigeyre M, Seshadri S, Sharma M, Smith EE, Williamson J, Cukierman-Yaffe T, Hart RG, Yusuf S. Are large simple trials for dementia prevention possible? Age Ageing 2020; 49:154-160. [PMID: 31830268 PMCID: PMC7047819 DOI: 10.1093/ageing/afz152] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 07/30/2019] [Indexed: 01/09/2023] Open
Abstract
New trials of dementia prevention are needed to test novel strategies and agents. Large, simple, cardiovascular trials have successfully discovered treatments with moderate but worthwhile effects to prevent heart attack and stroke. The design of these trials may hold lessons for the dementia prevention. Here we outline suitable populations, interventions and outcomes for large simple trials in dementia prevention. We consider what features are needed to maximise efficiency. Populations could be selected by age, clinical or genetic risk factors or clinical presentation. Patients and their families prioritise functional and clinical outcomes over cognitive scores and levels of biomarkers. Loss of particular functions or dementia diagnoses therefore are most meaningful to participants and potential patients and can be measured in large trials. The size of the population and duration of follow-up needed for dementia prevention trials will be a major challenge and will need collaboration between many clinical investigators, funders and patient organisations.
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Affiliation(s)
- William N Whiteley
- Centre for Clinical Brain Sciences, University of Edinburgh, UK
- Nuffield Department of Population Health, University of Oxford, UK
| | - Sonia Anand
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
| | - Shrikant I Bangdiwala
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
| | - Jackie Bosch
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
| | - Michelle Canavan
- Department of Medicine, National University of Galway, Republic of Ireland
| | - Howard Chertkow
- Department of Medicine (Neurology), University of Toronto, Canada
- Rotman Research Institute, Baycrest Health Sciences, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Canada
- Department of Neurology and Neurosurgery, McGill University, Canada
| | - Hertzel C Gerstein
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
- Division of Endocrinology and Metabolism, McMaster University, Canada
| | - Philip Gorelick
- Davee Department of Neurology, Northwestern University Feinberg School of Medicine, USA
- Department of Translational Neuroscience, Michigan State University College of Human Medicine and Mercy Health Hauenstein Neurosciences, USA
| | - Martin O’Donnell
- Department of Medicine, National University of Galway, Republic of Ireland
| | - Guillaume Paré
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
| | - Marie Pigeyre
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
| | - Sudha Seshadri
- The Framingham Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, USA
| | - Mike Sharma
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Canada
| | - Jeff Williamson
- Section of Gerontology and Geriatric Medicine and the Sticht Center for Healthy Aging and Alzheimer’s Prevention, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tali Cukierman-Yaffe
- Endocrinology & Metabolism Division, Sheba Medical Center, Israel
- Epidemiology Department, Sackler School of Medicine, Herczeg Institute on Aging, Tel-Aviv University, Israel
| | - Robert G Hart
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
| | - Salim Yusuf
- Population Health Research Institute, McMaster University & Hamilton Health Sciences, Canada
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280
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Stephan Y, Sutin AR, Luchetti M, Terracciano A. Polygenic score for neuroticism is related to sleep difficulties. GENES BRAIN AND BEHAVIOR 2020; 19:e12644. [PMID: 31997568 DOI: 10.1111/gbb.12644] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 01/23/2020] [Accepted: 01/25/2020] [Indexed: 12/24/2022]
Abstract
Neuroticism, a broad trait measure of the tendency to experience negative emotions and vulnerability to stress, is consistently related to poor sleep quality. Less is known about potential pleiotropy in the genetic risk for high neuroticism and poor sleep. Therefore, the present study examined whether polygenic score (PGS) for neuroticism is related to sleep quality in two large samples of adults. In addition, depressive symptoms, anxiety and phenotypical neuroticism were tested as mediators in both samples. Participants were 8316 individuals aged from 50 to 101 years (mean age = 68.29, SD = 9.83) from the Health and Retirement Study, and 4973 individuals aged from 63 to 67 years (mean age = 64.30, SD = 0.68) from the Wisconsin Longitudinal Study. Participants from both samples were genotyped and answered questions on sleep quality. A higher PGS for neuroticism was related to lower sleep quality concurrently and over time in both samples. Anxiety, depressive symptoms and neuroticism mediated these relationships in the two samples. Although effect sizes were small, the present study provides replicable evidence that individuals with a higher genetic predisposition to experience negative emotions and distress are at risk of sleep difficulties.
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Affiliation(s)
| | - Angelina R Sutin
- College of Medicine, Florida State University, Tallahassee, FL, USA
| | - Martina Luchetti
- College of Medicine, Florida State University, Tallahassee, FL, USA
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281
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Tsai MS, Li HY, Huang CG, Wang RYL, Chuang LP, Chen NH, Liu CH, Yang YH, Liu CY, Hsu CM, Cheng WN, Lee LA. Risk of Alzheimer's Disease in Obstructive Sleep Apnea Patients With or Without Treatment: Real-World Evidence. Laryngoscope 2020; 130:2292-2298. [PMID: 32045010 DOI: 10.1002/lary.28558] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 12/30/2019] [Accepted: 01/12/2020] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To assess the risk of Alzheimer's disease (AD) in patients with obstructive sleep apnea (OSA) with or without treatment based on real-world evidence. STUDY DESIGN Retrospective cohort study. METHODS Patients newly diagnosed with OSA during 1997-2012 were identified using the National Health Insurance Research Database of Taiwan. Patients without OSA were randomly selected and matched in a 1:4 ratio by age, sex, urbanization level, and income. All patients were followed up until death or the end of 2013. The primary outcome was AD occurrence. RESULTS This study included 3,978 OSA patients and 15,912 non-OSA patients. OSA was independently and significantly associated with a higher incidence of AD in an adjusted Cox proportional hazard model (adjusted hazard ratio: 2.12; 95% confidence interval [CI], 1.27-3.56). The average period of AD detection from the time of OSA occurrence was 5.44 years (standard deviation: 2.96). Subgroup analyses revealed that the effect of OSA remained significant in patients aged ≥60 years, male subgroups, patients without CPAP or surgical treatment, and patients without pharmacological therapies. Patients with OSA who received treatment (continuous positive airway pressure or surgery) exhibited a significantly reduced risk of AD compared with those without treatment (incidence rate ratio 0.23, 95% CI, 0.06-0.98). CONCLUSION OSA is independently associated with an increased risk of AD. Treatment for OSA reduces the AD risk in OSA patients. AD irreversibility renders OSA as a potential modifiable target for slowing or preventing the process of AD development. LEVEL OF EVIDENCE IV Laryngoscope, 130:2292-2298, 2020.
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Affiliation(s)
- Ming-Shao Tsai
- Department of Otolaryngology - Head and Neck Surgery, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.,Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Health Information and Epidemiology Laboratory, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.,Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Hsueh-Yu Li
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Otolaryngology - Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Robert Y L Wang
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan
| | - Li-Pang Chuang
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Pulmonary and Critical Care Medicine, Taoyuan Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Ning-Hung Chen
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Pulmonary and Critical Care Medicine, Taoyuan Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chi-Hung Liu
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Stroke Center and Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yao-Hsu Yang
- Health Information and Epidemiology Laboratory, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.,Department of Traditional Chinese Medicine, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.,School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chia-Yen Liu
- Health Information and Epidemiology Laboratory, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Cheng-Ming Hsu
- Department of Otolaryngology - Head and Neck Surgery, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.,School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wen-Nuan Cheng
- Department of Sports Sciences, University of Taipei, Taipei, Taiwan
| | - Li-Ang Lee
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Otolaryngology - Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
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282
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Zhang Y, Ren R, Sanford LD, Yang L, Zhou J, Tan L, Li T, Zhang J, Wing YK, Shi J, Lu L, Tang X. Sleep in Parkinson's disease: A systematic review and meta-analysis of polysomnographic findings. Sleep Med Rev 2020; 51:101281. [PMID: 32135452 DOI: 10.1016/j.smrv.2020.101281] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 01/21/2020] [Accepted: 01/23/2020] [Indexed: 02/08/2023]
Abstract
Polysomnographic studies have been conducted to explore sleep changes in Parkinson's disease (PD), but the relationships between sleep disturbances and PD are imperfectly understood. We conducted a systematic review of the literature exploring polysomnographic differences between PD patients and controls in EMBASE, MEDLINE, All EBM databases, CINAHL, and PsycIFNO. 67 studies were identified for systematic review, 63 of which were used for meta-analysis. Meta-analyses revealed significant reductions in total sleep time, sleep efficiency, N2 percentage, slow wave sleep, rapid eye movement sleep (REM) percentage, and increases in wake time after sleep onset, N1 percentage, REM latency, apnea hypopnea index, and periodic limb movement index in PD patients compared with controls. There were no remarkable differences in sleep continuity or sleep architecture between PD patients with and without REM sleep behavior disorder (RBD). Our study suggests that PD patients have poor sleep quality and quantity. Sex, age, disease duration, presence of RBD, medication status, cognitive impairment, and adaptation night are factors that contributed to heterogeneity between studies.
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Affiliation(s)
- Ye Zhang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Rong Ren
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Larry D Sanford
- Sleep Research Laboratory, Center for Integrative Neuroscience and Inflammatory Diseases, Department of Pathology and Anatomy, Eastern Virginia Medical School, Norfolk, VA, USA.
| | - Linghui Yang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Junying Zhou
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Tan
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Taomei Li
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Jihui Zhang
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Yun-Kwok Wing
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
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283
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Is Sleep Disruption a Cause or Consequence of Alzheimer's Disease? Reviewing Its Possible Role as a Biomarker. Int J Mol Sci 2020; 21:ijms21031168. [PMID: 32050587 PMCID: PMC7037733 DOI: 10.3390/ijms21031168] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/07/2020] [Accepted: 02/08/2020] [Indexed: 12/21/2022] Open
Abstract
In recent years, the idea that sleep is critical for cognitive processing has gained strength. Alzheimer's disease (AD) is the most common form of dementia worldwide and presents a high prevalence of sleep disturbances. However, it is difficult to establish causal relations, since a vicious circle emerges between different aspects of the disease. Nowadays, we know that sleep is crucial to consolidate memory and to remove the excess of beta-amyloid and hyperphosphorilated tau accumulated in AD patients' brains. In this review, we discuss how sleep disturbances often precede in years some pathological traits, as well as cognitive decline, in AD. We describe the relevance of sleep to memory consolidation, focusing on changes in sleep patterns in AD in contrast to normal aging. We also analyze whether sleep alterations could be useful biomarkers to predict the risk of developing AD and we compile some sleep-related proposed biomarkers. The relevance of the analysis of the sleep microstructure is highlighted to detect specific oscillatory patterns that could be useful as AD biomarkers.
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284
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Ramos AR, Tarraf W, Wu B, Redline S, Cai J, Daviglus ML, Gallo L, Mossavar-Rahmani Y, Perreira KM, Zee P, Zeng D, Gonzalez HM. Sleep and neurocognitive decline in the Hispanic Community Health Study/Study of Latinos. Alzheimers Dement 2020; 16:305-315. [PMID: 31606367 DOI: 10.1016/j.jalz.2019.08.191] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
INTRODUCTION To determine if sleep-disordered breathing (SDB), daytime sleepiness, insomnia, and sleep duration predict seven-year neurocognitive decline in US Hispanics/Latinos (N = 5247). METHODS The exposures were baseline SDB, daytime sleepiness, insomnia, and sleep duration. The outcomes were change in episodic learning and memory (B-SEVLT-Sum and SEVLT-Recall), language (word fluency [WF]), processing speed (Digit Symbol Substitution), and a cognitive impairment screener (Six-item Screener [SIS]). RESULTS Mean age was 63 ± 8 years, with 55% of the population being female with 7.0% Central American, 24.5% Cuban, 9.3% Dominican, 35.9% Mexican, 14.4% Puerto Rican, and 5.1% South American background. Long sleep (>9 hours), but not short sleep (<6 hours), was associated with decline (standard deviation units) in episodic learning and memory (βSEVLT-Sum = -0.22 [se = 0.06]; P < .001; βSEVLT-Recall = -0.13 [se = 0.06]; P < .05), WF (Pwf = -0.20 [se 5 0.06]; P < .01), and SIS (βSIS = -0.16 [se = 0.06]; P < .01), but not processing speed, after adjusting for covariates. SDB, sleepiness, and insomnia were not associated with neurocognitive decline. CONCLUSION Long sleep duration predicted seven-year cognitive decline.
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Affiliation(s)
- Alberto R Ramos
- University of Miami, Miller School of Medicine, Miami, FL, USA
| | | | - Benson Wu
- University of California San Diego, San Diego, CA, USA
| | | | - Jianwen Cai
- University of North Carolina, Chapel Hill, NC, USA
| | | | - Linda Gallo
- San Diego State University, San Diego, CA, USA
| | | | | | - Phyllis Zee
- Feinberg School of Medicine, Chicago, IL, USA
| | - Donglin Zeng
- University of North Carolina, Chapel Hill, NC, USA
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285
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Li L, Li L, Chai JX, Xiao L, Ng CH, Ungvari GS, Xiang YT. Prevalence of Poor Sleep Quality in Patients With Hypertension in China: A Meta-analysis of Comparative Studies and Epidemiological Surveys. Front Psychiatry 2020; 11:591. [PMID: 32695027 PMCID: PMC7338685 DOI: 10.3389/fpsyt.2020.00591] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 06/08/2020] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE This meta-analysis examined the prevalence of poor sleep quality and its associated factors in patients with hypertension in China. METHODS Both English (PubMed, PsycINFO, EMBASE) and Chinese (Wan Fang Database and Chinese National Knowledge Infrastructure) databases were systematically and independently searched. The random-effects model was used to estimate the prevalence of poor sleep quality in Chinese patients with hypertension. The funnel plot and Egger's tests were used to assess publication bias. RESULTS The prevalence of poor sleep quality in 24 studies with 13,920 hypertensive patients was 52.5% (95% confidence interval [CI]: 46.1-58.9%). In contrast, the prevalence of poor sleep quality in six studies with 5,610 healthy control subjects was 32.5% (95% CI: 19.0-49.7%). In these studies, compared to healthy controls, the pooled odds ratio (OR) of poor sleep quality was 2.66 (95% CI: 1.80-3.93) for hypertensive patients. Subgroup and meta-regression analyses revealed that patients in hospitals were more likely to have poor sleep quality than patients in the community. Studies with smaller sample size, studies using convenience or consecutive sampling and those published in Chinese reported higher prevalence of poor sleep quality. Furthermore, poor sleep quality was more common in older and male hypertensive patients, while the proportion of poor sleep quality was negatively associated with survey year. CONCLUSION Appropriate strategies for screening, prevention, and treatment of poor sleep quality in this population should be developed.
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Affiliation(s)
- Lin Li
- Department of Pharmacy, The First Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Lu Li
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Jing-Xin Chai
- Beijing Centers for Disease Prevention and Control, Beijing, China.,Beijing Centers for Disease Preventive Medical Research, Beijing, China
| | - Le Xiao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, VIC, Australia
| | - Gabor S Ungvari
- Division of Psychiatry, School of Medicine, University of Western Australia, Perth, WA, Australia.,Department of Psychiatry, University of Notre Dame Australia, Fremantle, WA, Australia
| | - Yu-Tao Xiang
- Unit of Psychiatry, Faculty of Health Sciences, Institute of Translational Medicine, University of Macau, Macau, China.,Center for Cognition and Brain Sciences, University of Macau, Macau, Macau
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286
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Atayde AL, Fischer CE, Schweizer TA, Munoz DG. Neuropsychiatric Inventory-Assessed Nighttime Behavior Accompanies, but Does Not Precede, Progressive Cognitive Decline Independent of Alzheimer's Disease Histopathology. J Alzheimers Dis 2020; 74:839-850. [PMID: 32116249 DOI: 10.3233/jad-190907] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The relationship between sleep, neuropathology, and clinical manifestations of Alzheimer's disease (AD) remains controversial. OBJECTIVE To determine whether nighttime behaviors (NTB) are associated with the development of AD histopathology or cognitive decline. METHODS We compared NTB prevalence in subjects with or without AD lesions, and with or without progressive cognitive decline. Subjects with either absent or severe plaques and tangles were identified from the National Alzheimer's Disease Coordinating Center data sets and classified as cognitively declining if the standard deviation from their individual mean Mini-Mental Status Examination score was ≥2, and stable if <2 regardless of their initial score. NTB was assessed using the Neuropsychiatric Inventory Questionnaire Quick Version (NPI-Q). RESULTS NTB was significantly greater in decliners than stable subjects in the group with severe histopathology as determined by frequent plaques (p = 0.003) or high Braak stage (p = 0.002). A similar significant trend was observed in subjects with absent plaques (p = 0.019) or tangles (p = 0.006). The prevalence of NTB was comparable between stable AD and non-AD subjects. NTB severity scores showed a similar pattern. CONCLUSION The development of NTB as assessed by NPI-Q in subjects with or without AD lesions occurred concurrently with cognitive decline. Among cognitively stable subjects, the presence of AD histopathology did not alter NTB prevalence. Thus, NTB disruptions at the gross granularity level assessed by NPI-Q were much more closely related to cognitive decline than the formation of pathological lesions. Factors other than AD histopathology may mediate the association between NTB and cognitive decline.
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Affiliation(s)
- Adrienne L Atayde
- Keenan Research Centre for Biomedical Research, the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Research, the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Tom A Schweizer
- Keenan Research Centre for Biomedical Research, the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada
- Department of Surgery, Division of Neurosurgery, Faculty of Medicine, University of Toronto, Toronto, Canada
- Division of Neurosurgery, St. Michael's Hospital, Toronto, Canada
| | - David G Munoz
- Keenan Research Centre for Biomedical Research, the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
- Division of Pathology, St. Michael's Hospital, Toronto, Canada
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287
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Park J, Lai MKP, Arumugam TV, Jo DG. O-GlcNAcylation as a Therapeutic Target for Alzheimer's Disease. Neuromolecular Med 2020; 22:171-193. [PMID: 31894464 DOI: 10.1007/s12017-019-08584-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Accepted: 12/13/2019] [Indexed: 02/06/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and the number of elderly patients suffering from AD has been steadily increasing. Despite worldwide efforts to cope with this disease, little progress has been achieved with regard to identification of effective therapeutics. Thus, active research focusing on identification of new therapeutic targets of AD is ongoing. Among the new targets, post-translational modifications which modify the properties of mature proteins have gained attention. O-GlcNAcylation, a type of PTM that attaches O-linked β-N-acetylglucosamine (O-GlcNAc) to a protein, is being sought as a new target to treat AD pathologies. O-GlcNAcylation has been known to modify the two important components of AD pathological hallmarks, amyloid precursor protein, and tau protein. In addition, elevating O-GlcNAcylation levels in AD animal models has been shown to be effective in alleviating AD-associated pathology. Although studies investigating the precise mechanism of reversal of AD pathologies by targeting O-GlcNAcylation are not yet complete, it is clearly important to examine O-GlcNAcylation regulation as a target of AD therapeutics. This review highlights the mechanisms of O-GlcNAcylation and its role as a potential therapeutic target under physiological and pathological AD conditions.
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Affiliation(s)
- Jinsu Park
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Korea
- Department of Health Science and Technology, Sungkyunkwan University, Seoul, 06351, Korea
| | - Mitchell K P Lai
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Thiruma V Arumugam
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Korea.
- Department of Physiology, Yong Loo Lin School Medicine, National University of Singapore, Singapore, 117593, Singapore.
- Department of Physiology, Anatomy & Microbiology, School of Life Sciences, La Trobe University, Bundoora, VIC, Australia.
| | - Dong-Gyu Jo
- School of Pharmacy, Sungkyunkwan University, Suwon, 16419, Korea.
- Department of Health Science and Technology, Sungkyunkwan University, Seoul, 06351, Korea.
- Biomedical Institute for Convergence, Sungkyunkwan University, Suwon, 16419, Korea.
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288
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Sexton CE, Sykara K, Karageorgiou E, Zitser J, Rosa T, Yaffe K, Leng Y. Connections Between Insomnia and Cognitive Aging. Neurosci Bull 2020; 36:77-84. [PMID: 31222500 PMCID: PMC6940406 DOI: 10.1007/s12264-019-00401-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 03/19/2019] [Indexed: 01/05/2023] Open
Abstract
Insomnia is a common sleep disorder among older adults, and a risk factor for poor physical and mental health. However, the relationship between insomnia and cognitive health is not well understood. Here, we review observational studies that have investigated whether insomnia is associated with deficits in objective cognitive performance and an increased risk of dementia, magnetic resonance imaging studies that have assessed grey matter volumes and white matter microstructure, and interventional studies that have explored whether the treatment of insomnia can improve cognitive outcomes. There are inconsistent findings regarding impaired performance in objective cognitive tests and reduced grey matter volumes, and limited, emerging, evidence that suggests that insomnia is associated with an increased risk of dementia and reduced white matter integrity. Although the interventional literature is still in its infancy, there is some indication that treatment may have an impact on vigilance. Well-powered studies examining sources of heterogeneity are warranted.
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Affiliation(s)
- Claire E Sexton
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Elissaios Karageorgiou
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
- Neurological Institute of Athens, Athens, Greece
| | - Jenny Zitser
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Talita Rosa
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, CA, USA
| | - Yue Leng
- Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA.
- Department of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, CA, USA.
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289
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Carroll JE, Small BJ, Tometich D, Zhai W, Zhou X, Luta G, Ahles TA, Saykin AJ, Nudelman KNH, Clapp JD, Jim H, Jacobsen PB, Hurria A, Graham D, McDonald BC, Denduluri N, Extermann M, Isaacs C, Dilawari AA, Root J, Stern R, Mandelblatt JS. Sleep disturbance and neurocognitive outcomes in older patients with breast cancer: Interaction with genotype. Cancer 2019; 125:4516-4524. [PMID: 31553501 PMCID: PMC6891125 DOI: 10.1002/cncr.32489] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 06/03/2019] [Accepted: 07/09/2019] [Indexed: 11/12/2022]
Abstract
BACKGROUND Sleep disturbance and genetic profile are risks for cognitive decline in noncancer populations, yet their role in cancer-related cognitive problems remains understudied. This study examined whether sleep disturbance was associated with worse neurocognitive outcomes in breast cancer survivors and whether sleep effects on cognition varied by genotype. METHODS Newly diagnosed female patients (n = 319) who were 60 years old or older and had stage 0 to III breast cancer were recruited from August 2010 to December 2015. Assessments were performed before systemic therapy and 12 and 24 months later. Neuropsychological testing measured attention, processing speed, executive function, learning, and memory; self-perceived cognitive functioning was also assessed. Sleep disturbance was defined by self-report of routine poor or restless sleep. Genotyping included APOE, BDNF, and COMT polymorphisms. Random effects fluctuation models tested associations of between-person and within-person differences in sleep, genotype, and sleep-genotype interactions and cognition and controlled for age, reading level, race, site, and treatment. RESULTS One-third of the patients reported sleep disturbances at each time point. There was a sleep-APOE ε4 interaction (P = .001) in which patients with the APOE ε4 allele and sleep disturbances had significantly lower learning and memory scores than those who were APOE ε4-negative and without sleep disturbances. There was also a sleep disturbance-COMT genotype interaction (P = .02) in which COMT Val carriers with sleep disturbances had lower perceived cognition than noncarriers. CONCLUSIONS Sleep disturbance was common and was associated with worse cognitive performance in older breast cancer survivors, especially those with a genetic risk for cognitive decline. Survivorship care should include sleep assessments and interventions to address sleep problems.
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Affiliation(s)
- Judith E. Carroll
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Jonsson Comprehensive Cancer Center, UCLA Cousins Center for PNI, Psychiatry & Biobehavioral Sciences, Los Angeles, CA
| | | | | | - Wanting Zhai
- Lombardi Comprehensive Cancer Center, Georgetown University
| | - Xiangtao Zhou
- Lombardi Comprehensive Cancer Center, Georgetown University
| | - George Luta
- Lombardi Comprehensive Cancer Center, Georgetown University
| | - Tim A. Ahles
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrew J. Saykin
- Indiana University School of Medicine, Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | - Kelly N. H. Nudelman
- Indiana University School of Medicine, Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | | | | | - Paul B. Jacobsen
- Healthcare Delivery Research Program, National Cancer Institute, Bethesda, MD
| | | | | | - Brenna C. McDonald
- Indiana University School of Medicine, Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN
| | | | | | | | | | - James Root
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Robert Stern
- Boston University School of Medicine, Boston University
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290
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Li K, Luo X, Zeng Q, Jiaerken Y, Wang S, Xu X, Xu X, Xu J, Wang C, Zhou J, Huang P, Zhang M. Interactions between sleep disturbances and Alzheimer's disease on brain function: a preliminary study combining the static and dynamic functional MRI. Sci Rep 2019; 9:19064. [PMID: 31836777 PMCID: PMC6911090 DOI: 10.1038/s41598-019-55452-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 11/22/2019] [Indexed: 11/10/2022] Open
Abstract
Though sleep disturbance constitutes the risk factor for Alzheimer's disease (AD), the underlying mechanism is still unclear. This study aims to explore the interaction between sleep disturbances and AD on brain function. We included 192 normal controls, 111 mild cognitive impairment (MCI), and 30 AD patients, with either poor or normal sleep (PS, NS, respectively). To explore the strength and stability of brain activity, we used static amplitude of low-frequency fluctuation (sALFF) and dynamic ALFF (dALFF) variance. Further, we examined white matter hyperintensities (WMH) and amyloid PET deposition, representing the vascular risk factor and AD-related hallmark, respectively. We observed that sleep disturbance significantly interacted with disease severity, exposing distinct effects on sALFF and dALFF variance. Interestingly, PS groups showed the dALFF variance trajectory of initially increased, then decreased and finally increased along the AD spectrum, while showing the opposite trajectory of sALFF. Further correlation analysis showed that the WMH burden correlates with dALFF variance in PS groups. Conclusively, our study suggested that sleep disturbance interacts with AD severity, expressing as effects of compensatory in MCI and de-compensatory in AD, respectively. Further, vascular impairment might act as important pathogenesis underlying the interaction effect between sleep and AD.
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Affiliation(s)
- Kaicheng Li
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Xiao Luo
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Qingze Zeng
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Yerfan Jiaerken
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Shuyue Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Xiaopei Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Xiaojun Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Jingjing Xu
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Chao Wang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Jiong Zhou
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Peiyu Huang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China.
| | - Minming Zhang
- Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China.
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291
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Bubu OM, Andrade AG, Umasabor-Bubu OQ, Hogan MM, Turner AD, de Leon MJ, Ogedegbe G, Ayappa I, Jean-Louis G G, Jackson ML, Varga AW, Osorio RS. Obstructive sleep apnea, cognition and Alzheimer's disease: A systematic review integrating three decades of multidisciplinary research. Sleep Med Rev 2019; 50:101250. [PMID: 31881487 DOI: 10.1016/j.smrv.2019.101250] [Citation(s) in RCA: 190] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 11/25/2019] [Accepted: 11/28/2019] [Indexed: 12/29/2022]
Abstract
Increasing evidence links cognitive-decline and Alzheimer's disease (AD) to various sleep disorders, including obstructive sleep apnea (OSA). With increasing age, there are substantial differences in OSA's prevalence, associated comorbidities and phenotypic presentation. An important question for sleep and AD researchers is whether OSA's heterogeneity results in varying cognitive-outcomes in older-adults compared to middle-aged adults. In this review, we systematically integrated research examining OSA and cognition, mild cognitive-impairment (MCI) and AD/AD biomarkers; including the effects of continuous positive airway pressure (CPAP) treatment, particularly focusing on characterizing the heterogeneity of OSA and its cognitive-outcomes. Broadly, in middle-aged adults, OSA is often associated with mild impairment in attention, memory and executive function. In older-adults, OSA is not associated with any particular pattern of cognitive-impairment at cross-section; however, OSA is associated with the development of MCI or AD with symptomatic patients who have a higher likelihood of associated disturbed sleep/cognitive-impairment driving these findings. CPAP treatment may be effective in improving cognition in OSA patients with AD. Recent trends demonstrate links between OSA and AD-biomarkers of neurodegeneration across all age-groups. These distinct patterns provide the foundation for envisioning better characterization of OSA and the need for more sensitive/novel sleep-dependent cognitive assessments to assess OSA-related cognitive-impairment.
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Affiliation(s)
- Omonigho M Bubu
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA; Department of Population Health, New York University School of Medicine, Center for Healthful Behavior Change, New York, USA; Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL, USA; Department of Applied Health Sciences, Wheaton College, Wheaton, IL, USA.
| | - Andreia G Andrade
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA
| | | | - Megan M Hogan
- Department of Applied Health Sciences, Wheaton College, Wheaton, IL, USA
| | - Arlener D Turner
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA; Department of Human Services and Psychology, National Louis University, Chicago, IL, USA
| | - Mony J de Leon
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA; Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Gbenga Ogedegbe
- Department of Population Health, New York University School of Medicine, Center for Healthful Behavior Change, New York, USA
| | - Indu Ayappa
- Division of Pulmonary, Critical Care and Sleep Medicine at the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Girardin Jean-Louis G
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA; Department of Population Health, New York University School of Medicine, Center for Healthful Behavior Change, New York, USA
| | - Melinda L Jackson
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia; School of Health & Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia
| | - Andrew W Varga
- Division of Pulmonary, Critical Care and Sleep Medicine at the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ricardo S Osorio
- Center for Brain Health, Department of Psychiatry, NYU Langone Medical Center, New York, NY, USA.
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292
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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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293
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Van Egroo M, Narbutas J, Chylinski D, Villar González P, Ghaemmaghami P, Muto V, Schmidt C, Gaggioni G, Besson G, Pépin X, Tezel E, Marzoli D, Le Goff C, Cavalier E, Luxen A, Salmon E, Maquet P, Bahri MA, Phillips C, Bastin C, Collette F, Vandewalle G. Preserved wake-dependent cortical excitability dynamics predict cognitive fitness beyond age-related brain alterations. Commun Biol 2019; 2:449. [PMID: 31815203 PMCID: PMC6890637 DOI: 10.1038/s42003-019-0693-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 11/06/2019] [Indexed: 12/29/2022] Open
Abstract
Age-related cognitive decline arises from alterations in brain structure as well as in sleep-wake regulation. Here, we investigated whether preserved wake-dependent regulation of cortical function could represent a positive factor for cognitive fitness in aging. We quantified cortical excitability dynamics during prolonged wakefulness as a sensitive marker of age-related alteration in sleep-wake regulation in 60 healthy older individuals (50-69 y; 42 women). Brain structural integrity was assessed with amyloid-beta- and tau-PET, and with MRI. Participants' cognition was investigated using an extensive neuropsychological task battery. We show that individuals with preserved wake-dependent cortical excitability dynamics exhibit better cognitive performance, particularly in the executive domain which is essential to successful cognitive aging. Critically, this association remained significant after accounting for brain structural integrity measures. Preserved dynamics of basic brain function during wakefulness could therefore be essential to cognitive fitness in aging, independently from age-related brain structural modifications that can ultimately lead to dementia.
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Affiliation(s)
- Maxime Van Egroo
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Justinas Narbutas
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Daphne Chylinski
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Pouya Ghaemmaghami
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Vincenzo Muto
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christina Schmidt
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Giulia Gaggioni
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Gabriel Besson
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Xavier Pépin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Elif Tezel
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Davide Marzoli
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Caroline Le Goff
- Department of Clinical Chemistry, University Hospital of Liège, Liège, Belgium
| | - Etienne Cavalier
- Department of Clinical Chemistry, University Hospital of Liège, Liège, Belgium
| | - André Luxen
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Eric Salmon
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
- Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Department of Neurology, University Hospital of Liège, Liège, Belgium
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- GIGA-In Silico Medicine, University of Liège, Liège, Belgium
| | - Christine Bastin
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
- Psychology and Cognitive Neuroscience Research Unit, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
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294
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Doremus JM, Stith SS, Vigil JM. Using recreational cannabis to treat insomnia: Evidence from over-the-counter sleep aid sales in Colorado. Complement Ther Med 2019; 47:102207. [DOI: 10.1016/j.ctim.2019.102207] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 09/20/2019] [Accepted: 09/30/2019] [Indexed: 12/18/2022] Open
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295
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Shamim SA, Warriach ZI, Tariq MA, Rana KF, Malik BH. Insomnia: Risk Factor for Neurodegenerative Diseases. Cureus 2019; 11:e6004. [PMID: 31807391 PMCID: PMC6876903 DOI: 10.7759/cureus.6004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Accepted: 10/25/2019] [Indexed: 12/11/2022] Open
Abstract
Insomnia can be defined as difficulty falling asleep or maintaining sleep, waking up earlier than expected, or having non-restorative sleep. It is one of the most common sleep disorders in the world. Insomnia is a common symptom of many neurodegenerative diseases but only recently has it been found that it is a risk factor for neurodegenerative disorders such as Alzheimer's disease and Parkinson's disease. We did a traditional review to analyze the relationship between insomnia and neurodegenerative diseases. We analyzed all the relevant articles on Pubmed and included studies done on humans over the last 10 years with full text available. After reviewing the available literature on Pubmed, we conclude that insomnia is an important risk factor for neurodegenerative diseases. In addition, insomnia and neurodegenerative disorders have a complex and bi-directional relationship. We think it requires further study to understand the sole contribution of insomnia to the development of various neurodegenerative diseases when different factors like mood problems, genetic factors, and environmental factors also contribute to the disease. It would also be advisable to use cognitive screening questionnaires in all sleep clinics in insomnia patients over 50 years of age to diagnose dementia early and to gather more sleep study data for prospective and retrospective research. The role of hypnotics in preventing neurodegenerative diseases through treating insomnia should also be assessed.
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Affiliation(s)
- Sohaib A Shamim
- Neurology, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Zain I Warriach
- Psychiatry, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Muhammad Ali Tariq
- Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Kiran F Rana
- Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
| | - Bilal Haider Malik
- Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA
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296
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Amagasa S, Inoue S, Murayama H, Fujiwara T, Kikuchi H, Fukushima N, Machida M, Chastin S, Owen N, Shobugawa Y. Associations of Sedentary and Physically-Active Behaviors With Cognitive-Function Decline in Community-Dwelling Older Adults: Compositional Data Analysis From the NEIGE Study. J Epidemiol 2019; 30:503-508. [PMID: 31656243 PMCID: PMC7557173 DOI: 10.2188/jea.je20190141] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Background Physical activity can help to protect against cognitive decline in older adults. However, little is known about the potential combined relationships of time spent in sedentary behavior (SB), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with indices of cognitive health. We examined the cross-sectional associations of objectively-determined sedentary and physically-active behaviors with an indicator of cognitive function decline (CFD) in older adults. Methods A randomly-recruited sample of 511 Japanese older adults (47% male; aged 65–84 years) wore a tri-axial accelerometer for 7 consecutive days in 2017. Cognitive function was assessed by interviewers using the Japanese version of Mini-Mental State Examination, with a score of ≤23 indicating CFD. Associations of sedentary and physically-active behaviors with CFD were examined using a compositional logistic regression analysis based on isometric log-ratio transformations of time use, adjusting for potential confounders. Results Forty one (9.4%) of the participants had an indication of CFD. Activity compositions differed significantly between CFD and normal cognitive function (NCF); the proportion of time spent in MVPA was 39.1% lower, relative to the overall mean composition in those with CFD, and was 5.3% higher in those with NCF. There was a significant beneficial association of having a higher proportion of MVPA relative to other activities with CFD. LPA and SB were not associated with CFD when models were corrected for time spent in all activity behaviors. Conclusions Larger relative contribution of MVPA was favorably associated with an indicator of CFD in older adults.
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Affiliation(s)
- Shiho Amagasa
- Department of Preventive Medicine and Public Health, Tokyo Medical University
| | - Shigeru Inoue
- Department of Preventive Medicine and Public Health, Tokyo Medical University
| | | | - Takeo Fujiwara
- Department of Global Health Promotion, Tokyo Medical and Dental University
| | - Hiroyuki Kikuchi
- Department of Preventive Medicine and Public Health, Tokyo Medical University
| | - Noritoshi Fukushima
- Department of Preventive Medicine and Public Health, Tokyo Medical University
| | - Masaki Machida
- Department of Preventive Medicine and Public Health, Tokyo Medical University
| | - Sebastien Chastin
- School of Health and life Science, Institute of Applied Health Research, Glasgow Caledonian University.,Department of Sport and Movement Science, Ghent University
| | - Neville Owen
- Behavioral Epidemiology Laboratory, Baker Heart & Diabetes Institute.,Centre for Urban Transitions, Swinburne University of Technology
| | - Yugo Shobugawa
- Division of International Health, Niigata University Graduate School of Medical and Dental Sciences.,Department of Active Ageing, Niigata University Graduate School of Medical and Dental Sciences
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297
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Talwar P, Kushwaha S, Gupta R, Agarwal R. Systemic Immune Dyshomeostasis Model and Pathways in Alzheimer's Disease. Front Aging Neurosci 2019; 11:290. [PMID: 31736740 PMCID: PMC6838686 DOI: 10.3389/fnagi.2019.00290] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 10/07/2019] [Indexed: 12/12/2022] Open
Abstract
Alzheimer's disease (AD) still remains an enigma for researchers and clinicians. The onset of AD is insidious, gradually progressive and multifactorial. The recent accumulated scientific evidences suggests that the pathological changes resemble the autoimmune-driven self-sustaining inflammatory process as a result of prolonged oxidative stress and immune dyshomeostasis. Apart from aging, during life span various other factors-mainly environmental, lifestyle, chronic stress, polymicrobial infections and neuroendocrine functions-affect the immune system. Here, we provide crosstalk among "trigger insults/inflammatory stimulus" i.e., polymicrobial infection, chronic stress, pro-inflammatory diet and cholinergic signaling to put forward a "Systemic Immune Dyshomeostasis" model as to connect the events leading to AD development and progression. Our model implicates altered cholinergic signaling and suggests pathological stages with various modifiable risk factors and triggers at different chronological age and stage of cognitive decline. The search of specific autoantibodies for AD which may serve as the suitable blood/CSF biomarkers should be actively pursued for the early diagnosis of AD. The preventive and therapeutic strategies should be directed towards maintaining the normal functioning of the immune system throughout the life span and specific modulation of the immune responses in the brain depending on the stage of changes in brain.
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Affiliation(s)
- Puneet Talwar
- Department of Neurology, Institute of Human Behaviour and Allied Sciences (IHBAS), University of Delhi, Delhi, India
| | - Suman Kushwaha
- Department of Neurology, Institute of Human Behaviour and Allied Sciences (IHBAS), University of Delhi, Delhi, India
| | - Renu Gupta
- Department of Microbiology, Institute of Human Behaviour and Allied Sciences (IHBAS), University of Delhi, Delhi, India
| | - Rachna Agarwal
- Department of Neurochemistry, Institute of Human Behaviour and Allied Sciences (IHBAS), University of Delhi, Delhi, India
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298
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Xie Y, Ba L, Wang M, Deng SY, Chen SM, Huang LF, Zhang M, Wang W, Ding FF. Chronic sleep fragmentation shares similar pathogenesis with neurodegenerative diseases: Endosome-autophagosome-lysosome pathway dysfunction and microglia-mediated neuroinflammation. CNS Neurosci Ther 2019; 26:215-227. [PMID: 31549780 PMCID: PMC6978272 DOI: 10.1111/cns.13218] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 08/22/2019] [Accepted: 08/24/2019] [Indexed: 12/15/2022] Open
Abstract
Aims Insufficient sleep has been found to result in varying degrees of cognitive impairment and emotional changes. Sleep was reported probably responsible for cleaning metabolic wastes in brain by increasing extracellular bulk flow. Herein, we propose that chronic sleep insufficiency in young adult wild‐type mice is also linked with dysfunction of intracellular protein degradation pathways and microglia‐mediated neuroinflammation, which are potentially important mechanisms in the initiation of neurodegeneration. Methods We applied the chronic sleep fragmentation (CSF) model to induce chronic sleep insufficiency in wild‐type mice. After 2 months of CSF, cognitive function, amyloid‐β accumulation, dysfunction of endosome‐autophagosome‐lysosome pathway, and microglia activation were evaluated. Results Following CSF, impairment of spatial learning and memory, and aggravated anxiety‐like behavior in mice were identified by behavioral experiments. Increased intracellular amyloid‐β accumulation was observed in cortex and hippocampus. Mechanistically, CSF could significantly enhance the expression of Rab5 (early endosome marker), Rab7 (late endosome marker), as well as LC3B (autophagosome marker), and autophagy‐positive regulatory factors in brain detected by immunofluorescent staining and Western blot. In addition, activation of microglia was evident by enhanced CD68, CD16/32, and CD206 levels after CSF treatment. Conclusions Chronic sleep fragmentation could initiate pathogenetic processes similar to the early stage of neurodegeneration, including dysfunction of endosome‐autophagosome‐lysosome pathway and microglia‐mediated neuroinflammation. Our findings further strengthen the link between chronic sleep insufficiency and the initiation of neurodegeneration even if lack of genetic predisposition.
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Affiliation(s)
- Yi Xie
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Ba
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sai-Yue Deng
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Si-Miao Chen
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li-Fang Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Neurological Diseases of Chinese Ministry of Education, The School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng-Fei Ding
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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299
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Winer JR, Mander BA. Waking Up to the Importance of Sleep in the Pathogenesis of Alzheimer Disease. JAMA Neurol 2019. [PMID: 29532083 DOI: 10.1001/jamaneurol.2018.0005] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Joseph R Winer
- Department of Psychology, University of California, Berkeley
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, Orange
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300
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Li HY, Tsai MS, Huang CG, Wang RYL, Chuang LP, Chen NH, Liu CH, Hsu CM, Cheng WN, Lee LA. Alterations in Alzheimer's Disease-Associated Gene Expression in Severe Obstructive Sleep Apnea Patients. J Clin Med 2019; 8:jcm8091361. [PMID: 31480626 PMCID: PMC6780075 DOI: 10.3390/jcm8091361] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 08/24/2019] [Accepted: 08/28/2019] [Indexed: 01/18/2023] Open
Abstract
Background: Obstructive sleep apnea (OSA) increases the risk of Alzheimer’s disease (AD), and inflammation may be involved in the early pathogenesis of AD in patients with OSA. However, the potential pathways between OSA and AD have yet to be established. In this study, we aimed to investigate differential expressions of AD-associated genes in OSA patients without evident AD or dementia. Methods: This prospective case-control study included five patients with severe OSA and five age and sex-matched patients with non-severe OSA without evident dementia who underwent uvulopalatopharyngoplasty between 1 January 2013 and 31 December 2015. The expressions of genes associated with AD were analyzed using whole-exome sequencing. Unsupervised two-dimensional hierarchical clustering was performed on these genes. Pearson’s correlation was used as the distance metric to simultaneously cluster subjects and genes. Results: The expressions of CCL2, IL6, CXCL8, HLA-A, and IL1RN in the patients with severe OSA were significantly different from those in the patients with non-severe OSA and contributed to changes in the immune response, cytokine–cytokine receptor interactions, and nucleotide-binding oligomerization domain-like receptor signaling pathways. Conclusions: Inflammation may contribute to the onset of AD and physicians need to be aware of the potential occurrence of AD in patients with severe OSA.
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Affiliation(s)
- Hsueh-Yu Li
- Department of Otolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Ming-Shao Tsai
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Department of Otolaryngology-Head and Neck Surgery, Chiayi Chang Gung Memorial Hospital, Chiayi 613, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Health Information and Epidemiology Laboratory, Chiayi, Chang Gung Memorial Hospital, Chiayi 613, Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan 333, Taiwan.
- Graduate Institute of Biomedical Sciences, Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
| | - Robert Y L Wang
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan 333, Taiwan
| | - Li-Pang Chuang
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Department of Pulmonary and Critical Care Medicine, Taoyuan Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Ning-Hung Chen
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Department of Pulmonary and Critical Care Medicine, Taoyuan Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Chi-Hung Liu
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Stroke Center and Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Cheng-Ming Hsu
- Department of Otolaryngology-Head and Neck Surgery, Chiayi Chang Gung Memorial Hospital, Chiayi 613, Taiwan
- School of Traditional Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Wen-Nuan Cheng
- Department of Sports Sciences, University of Taipei, Taipei 111, Taiwan
| | - Li-Ang Lee
- Department of Otolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
- Faculty of Medicine, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
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