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Mueller C, Nenert R, Catiul C, Pilkington J, Szaflarski JP, Amara AW. Relationship between sleep, physical fitness, brain microstructure, and cognition in healthy older adults: A pilot study. Brain Res 2024; 1839:149016. [PMID: 38768934 DOI: 10.1016/j.brainres.2024.149016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/01/2024] [Accepted: 05/17/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND There is a critical need for neuroimaging markers of brain integrity to monitor effects of modifiable lifestyle factors on brain health. This observational, cross-sectional study assessed relationships between brain microstructure and sleep, physical fitness, and cognition in healthy older adults. METHODS Twenty-three adults aged 60 and older underwent whole-brain multi-shell diffusion imaging, comprehensive cognitive testing, polysomnography, and exercise testing. Neurite Orientation Dispersion and Density Imaging (NODDI) was used to quantify neurite density (NDI) and orientation dispersion (ODI). Diffusion tensor imaging (DTI) was used to quantify axial diffusivity (AxD), fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD). Relationships between sleep efficiency (SE), time and percent in N3 sleep, cognitive function, physical fitness (VO2 peak) and the diffusion metrics in regions of interest and the whole brain were evaluated. RESULTS Higher NDI in bilateral white and gray matter was associated with better executive functioning. NDI in the right anterior cingulate and adjacent white matter was positively associated with language skills. Higher NDI in the left posterior corona radiata was associated with faster processing speed. Physical fitness was positively associated with NDI in the left precentral gyrus and corticospinal tract. N3 % was positively associated with NDI in the left caudate and right pre- and postcentral gyri. Higher ODI in the left putamen and adjacent white matter was associated with better executive function. CONCLUSION NDI and ODI derived from NODDI are potential neuroimaging markers for associations between brain microstructure and modifiable risk factors in aging. If these associations are observable in clinical samples, NODDI could be incorporated into clinical trials assessing the effects of modifiable risk factors on brain integrity in aging and neurodegenerative diseases.
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Affiliation(s)
- Christina Mueller
- University of Alabama at Birmingham, Department of Neurology, 1719 6(th) Ave S, Birmingham, AL 35233, United States.
| | - Rodolphe Nenert
- University of Alabama at Birmingham, Department of Neurology, 1719 6(th) Ave S, Birmingham, AL 35233, United States
| | - Corina Catiul
- University of Alabama at Birmingham, Department of Neurology, 1719 6(th) Ave S, Birmingham, AL 35233, United States
| | - Jennifer Pilkington
- University of Alabama at Birmingham, Department of Neurology, 1719 6(th) Ave S, Birmingham, AL 35233, United States
| | - Jerzy P Szaflarski
- University of Alabama at Birmingham, Department of Neurology, 1719 6(th) Ave S, Birmingham, AL 35233, United States
| | - Amy W Amara
- University of Alabama at Birmingham, Department of Neurology, 1719 6(th) Ave S, Birmingham, AL 35233, United States; University of Colorado Anschutz Medical Campus, 1635 Aurora Ct, Aurora, CO 80045, United States
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Xiang W, Shen Y, Chen S, Tan H, Cao Q, Xu L. Causal relationship between sleep disorders and the risk of Alzheimer's disease: A Mendelian randomization study. Sleep Med 2024; 120:34-43. [PMID: 38865787 DOI: 10.1016/j.sleep.2024.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 06/03/2024] [Accepted: 06/07/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND AND OBJECTIVE Epidemiological studies have shown that sleep disorders are risk factors for Alzheimer's disease (AD), but the causal relationship between sleep disorders and AD risk is unknown. We aim to assess the potential genetic causal association between sleep characteristics and AD, which may contribute to early identification and prediction of risk factors for AD. METHODS Seven sleep-related traits and the outcome phenotype AD were selected from published genome-wide association studies (GWASs). These sleep-related characteristics and instrumental variables (IVs) for AD were extracted. Two-sample and multivariate Mendelian randomization (MR) analyses were performed to assess the causal relationships between sleep characteristics and AD. The inverse variance weighted (IVW), weighted median (WME), weighted mode (WM), MR-Egger regression (MR-Egger) and simple mode (SM) models were used to evaluate causality. The existence of pleiotropy was detected and corrected by MR-Egger regression, MR pleiotropy residuals and outliers. RESULTS A two-sample MR study revealed a positive causal association between sleep duration and the onset of AD (OR = 1.002, 95 % CI: 1.000-1.004), and the risk of AD increased with increasing sleep duration. The MR-Egger regression method and MR-PRESSO were used to identify and correct pleiotropy, indicating that there was no horizontal pleiotropy. Heterogeneity was evaluated by Cochran's Q, which indicated no heterogeneity. In a multivariate MR study with seven sleep characteristics corrected for each other, we found that sleep duration remained causally associated with AD (OR = 1.004, 95 % CI: 1.000-1.007). Moreover, we found that after mutual correction, daytime napping had a causal relationship with the onset of AD, and daytime napping may reduce the risk of AD (OR = 0.995, 95 % CI: 0.991-1.000). CONCLUSION This study is helpful for the early identification and prediction of risk factors for AD, long sleep durations are a risk factor for AD, and daytime napping can reduce the risk of AD.
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Affiliation(s)
- Wenwen Xiang
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yu Shen
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Shenjian Chen
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Huadong Tan
- Department of Respiratory and Critical Care Medicine, Yichang Central People's Hospital, China Three Gorges University, Yichang, China
| | - Qian Cao
- Department of Neurology, Saarland University, Homburg, Germany
| | - Lijun Xu
- Department of Neurology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
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3
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Gaire BP, Koronyo Y, Fuchs DT, Shi H, Rentsendorj A, Danziger R, Vit JP, Mirzaei N, Doustar J, Sheyn J, Hampel H, Vergallo A, Davis MR, Jallow O, Baldacci F, Verdooner SR, Barron E, Mirzaei M, Gupta VK, Graham SL, Tayebi M, Carare RO, Sadun AA, Miller CA, Dumitrascu OM, Lahiri S, Gao L, Black KL, Koronyo-Hamaoui M. Alzheimer's disease pathophysiology in the Retina. Prog Retin Eye Res 2024; 101:101273. [PMID: 38759947 DOI: 10.1016/j.preteyeres.2024.101273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 04/23/2024] [Accepted: 05/10/2024] [Indexed: 05/19/2024]
Abstract
The retina is an emerging CNS target for potential noninvasive diagnosis and tracking of Alzheimer's disease (AD). Studies have identified the pathological hallmarks of AD, including amyloid β-protein (Aβ) deposits and abnormal tau protein isoforms, in the retinas of AD patients and animal models. Moreover, structural and functional vascular abnormalities such as reduced blood flow, vascular Aβ deposition, and blood-retinal barrier damage, along with inflammation and neurodegeneration, have been described in retinas of patients with mild cognitive impairment and AD dementia. Histological, biochemical, and clinical studies have demonstrated that the nature and severity of AD pathologies in the retina and brain correspond. Proteomics analysis revealed a similar pattern of dysregulated proteins and biological pathways in the retina and brain of AD patients, with enhanced inflammatory and neurodegenerative processes, impaired oxidative-phosphorylation, and mitochondrial dysfunction. Notably, investigational imaging technologies can now detect AD-specific amyloid deposits, as well as vasculopathy and neurodegeneration in the retina of living AD patients, suggesting alterations at different disease stages and links to brain pathology. Current and exploratory ophthalmic imaging modalities, such as optical coherence tomography (OCT), OCT-angiography, confocal scanning laser ophthalmoscopy, and hyperspectral imaging, may offer promise in the clinical assessment of AD. However, further research is needed to deepen our understanding of AD's impact on the retina and its progression. To advance this field, future studies require replication in larger and diverse cohorts with confirmed AD biomarkers and standardized retinal imaging techniques. This will validate potential retinal biomarkers for AD, aiding in early screening and monitoring.
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Affiliation(s)
- Bhakta Prasad Gaire
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yosef Koronyo
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Dieu-Trang Fuchs
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Haoshen Shi
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Altan Rentsendorj
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ron Danziger
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jean-Philippe Vit
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Nazanin Mirzaei
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jonah Doustar
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Julia Sheyn
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Harald Hampel
- Sorbonne University, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Andrea Vergallo
- Sorbonne University, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Miyah R Davis
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ousman Jallow
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Filippo Baldacci
- Sorbonne University, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France; Department of Clinical and Experimental Medicine, Neurology Unit, University of Pisa, Pisa, Italy
| | | | - Ernesto Barron
- Department of Ophthalmology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA; Doheny Eye Institute, Los Angeles, CA, USA
| | - Mehdi Mirzaei
- Department of Clinical Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia
| | - Vivek K Gupta
- Department of Clinical Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia
| | - Stuart L Graham
- Department of Clinical Medicine, Health and Human Sciences, Macquarie Medical School, Macquarie University, Sydney, NSW, Australia; Department of Clinical Medicine, Macquarie University, Sydney, NSW, Australia
| | - Mourad Tayebi
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
| | - Roxana O Carare
- Department of Clinical Neuroanatomy, University of Southampton, Southampton, UK
| | - Alfredo A Sadun
- Department of Ophthalmology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, USA; Doheny Eye Institute, Los Angeles, CA, USA
| | - Carol A Miller
- Department of Pathology Program in Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Shouri Lahiri
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Liang Gao
- Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, USA
| | - Keith L Black
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Biomedical Sciences, Division of Applied Cell Biology and Physiology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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Li P, Gao L, Lucey BP, Ju YES, Musiek ES, Hu K. Longer sleep duration in Alzheimer's disease progression: a compensatory response? Sleep 2024; 47:zsae093. [PMID: 38602244 PMCID: PMC11168758 DOI: 10.1093/sleep/zsae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Indexed: 04/12/2024] Open
Affiliation(s)
- Peng Li
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lei Gao
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St Louis, MO, USA
| | - Yo-El S Ju
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St Louis, MO, USA
- Department of Anesthesiology, Washington University, St Louis, MO, USA
| | - Erik S Musiek
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep (COBRAS), Washington University School of Medicine, St Louis, MO, USA
- Department of Anesthesiology, Washington University, St Louis, MO, USA
| | - Kun Hu
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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Moon C, Schneider A, Cho YE, Zhang M, Dang H, Vu K. Sleep duration, sleep efficiency, and amyloid β among cognitively healthy later-life adults: a systematic review and meta-analysis. BMC Geriatr 2024; 24:408. [PMID: 38714912 PMCID: PMC11076214 DOI: 10.1186/s12877-024-05010-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 04/24/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Abnormal amyloid β (Aβ) deposits in the brain are a hallmark of Alzheimer's disease (AD). Insufficient sleep duration and poor sleep quality are risk factors for developing AD. Sleep may play a role in Aβ regulation, but the magnitude of the relationship between sleep and Aβ deposition remains unclear. This systematic review examines the relationship between sleep (i.e., duration and efficiency) with Aβ deposition in later-life adults. METHODS A search of PubMed, CINAHL, Embase, and PsycINFO generated 5,005 published articles. Fifteen studies met the inclusion criteria for qualitative syntheses; thirteen studies for quantitative syntheses related to sleep duration and Aβ; and nine studies for quantitative syntheses related to sleep efficiency and Aβ. RESULTS Mean ages of the samples ranged from 63 to 76 years. Studies measured Aβ using cerebrospinal fluid, serum, and positron emission tomography scans with two tracers: Carbone 11-labeled Pittsburgh compound B or fluorine 18-labeled. Sleep duration was measured subjectively using interviews or questionnaires, or objectively using polysomnography or actigraphy. Study analyses accounted for demographic and lifestyle factors. Based on 13 eligible articles, our synthesis demonstrated that the average association between sleep duration and Aβ was not statistically significant (Fisher's Z = -0.055, 95% CI = -0.117 ~ 0.008). We found that longer self-report sleep duration is associated with lower Aβ (Fisher's Z = -0.062, 95% CI = -0.119 ~ -0.005), whereas the objectively measured sleep duration was not associated with Aβ (Fisher's Z = 0.002, 95% CI = -0.108 ~ 0.113). Based on 9 eligible articles for sleep efficiency, our synthesis also demonstrated that the average association between sleep efficiency and Aβ was not statistically significant (Fisher's Z = 0.048, 95% CI = -0.066 ~ 0.161). CONCLUSION The findings from this review suggest that shorter self-reported sleep duration is associated with higher Aβ levels. Given the heterogeneous nature of the sleep measures and outcomes, it is still difficult to determine the exact relationship between sleep and Aβ. Future studies with larger sample sizes should focus on comprehensive sleep characteristics and use longitudinal designs to better understand the relationship between sleep and AD.
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Affiliation(s)
- Chooza Moon
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA.
| | - Aaron Schneider
- University of Iowa College of Liberal Arts and Sciences Department of Health and Human Physiology, 225 S. Grand Ave., Iowa City, IA, 52240, USA
| | - Young-Eun Cho
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA
| | - Meina Zhang
- University of Iowa College of Nursing, 50 Newton Rd, Iowa City, IA, 52242, USA
| | - Hellen Dang
- University of Iowa College of Liberal Arts and Sciences Department of Health and Human Physiology, 225 S. Grand Ave., Iowa City, IA, 52240, USA
| | - Kelly Vu
- University of Iowa College of Pharmacy, 180 S. Grand Avenue, Iowa City, IA, 52242, USA
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Rentschler KM, Milosavljevic S, Baratta AM, Wright CJ, Piroli MV, Tentor Z, Valafar H, O’Reilly C, Pocivavsek A. Reducing brain kynurenic acid synthesis precludes kynurenine-induced sleep disturbances. J Sleep Res 2024; 33:e14038. [PMID: 37678806 PMCID: PMC10918043 DOI: 10.1111/jsr.14038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/04/2023] [Accepted: 08/22/2023] [Indexed: 09/09/2023]
Abstract
Patients with neurocognitive disorders often battle sleep disturbances. Kynurenic acid is a tryptophan metabolite of the kynurenine pathway implicated in the pathology of these illnesses. Modest increases in kynurenic acid, an antagonist at glutamatergic and cholinergic receptors, result in cognitive impairments and sleep dysfunction. We explored the hypothesis that inhibition of the kynurenic acid synthesising enzyme, kynurenine aminotransferase II, may alleviate sleep disturbances. At the start of the light phase, adult male and female Wistar rats received systemic injections of either: (i) vehicle; (ii) kynurenine (100 mg kg-1; i.p.); (iii) the kynurenine aminotransferase II inhibitor, PF-04859989 (30 mg kg-1; s.c.); or (iv) PF-04859989 and kynurenine in combination. Kynurenine and kynurenic acid levels were evaluated in the plasma and brain. Separate animals were implanted with electroencephalogram and electromyogram telemetry devices to record polysomnography, and evaluate the vigilance states wake, rapid eye movement sleep and non-rapid eye movement sleep following each treatment. Kynurenine challenge increased brain kynurenic acid and resulted in reduced rapid eye movement sleep duration, non-rapid eye movement sleep delta power and sleep spindles. PF-04859989 reduced brain kynurenic acid formation when given prior to kynurenine, prevented disturbances in rapid eye movement sleep and sleep spindles, and enhanced non-rapid eye movement sleep. Our findings suggest that reducing kynurenic acid in conditions where the kynurenine pathway is activated may serve as a potential strategy for improving sleep dynamics.
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Affiliation(s)
- Katherine M. Rentschler
- University of South Carolina School of Medicine, Department of Pharmacology, Physiology, and Neuroscience, Columbia, SC, USA
| | - Snezana Milosavljevic
- University of South Carolina School of Medicine, Department of Pharmacology, Physiology, and Neuroscience, Columbia, SC, USA
| | - Annalisa M. Baratta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
- Current affiliation: Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Courtney J. Wright
- University of South Carolina School of Medicine, Department of Pharmacology, Physiology, and Neuroscience, Columbia, SC, USA
| | - Maria V. Piroli
- University of South Carolina School of Medicine, Department of Pharmacology, Physiology, and Neuroscience, Columbia, SC, USA
| | - Zachary Tentor
- Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina
| | - Homayoun Valafar
- Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina
| | - Christian O’Reilly
- Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina
- Artificial Intelligence Institute, University of South Carolina, Columbia, South Carolina
| | - Ana Pocivavsek
- University of South Carolina School of Medicine, Department of Pharmacology, Physiology, and Neuroscience, Columbia, SC, USA
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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Zhai Z, Kong F, Zhu Z, Dai J, Cai J, Xie D, Shen Y, Xu Y, Sun T. Effect and Potential Mechanism of Immunotherapy on Cognitive Deficits in Animal Models of Alzheimer's Disease: A Systematic Review and Meta-Analysis. Am J Geriatr Psychiatry 2024; 32:555-583. [PMID: 38158285 DOI: 10.1016/j.jagp.2023.11.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 11/17/2023] [Accepted: 11/25/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Immunotherapy has been reported to ameliorate Alzheimer's disease (AD) in the animal model; however, the immunologic approaches and mechanisms have not been specifically described. Thus, the systematic review and meta-analysis were conducted to explore the effect and potential mechanism of immunotherapy on AD animal experiments based on behavioral indicators. METHODS According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the Cochrane Collaboration guidelines and the inclusion/exclusion criteria of immunotherapy in animal studies, 15 studies were systematically reviewed after extraction from a collected database of 3,742 publications. Finally, the effect and mechanism of immunotherapy on AD models were described by performing multiple subgroup analyses. RESULTS After immunotherapy, the escape latency was reduced by 18.15 seconds and the number of crossings over the platform location was increased by 1.60 times in the Morris Water Maze. Furthermore, compared to the control group, active and passive immunization could markedly ameliorate learning and memory impairment in 3 × Tg AD animal models, and active immunization could ameliorate the learning and memory ability of the APPswe/PS1ΔE9 AD animal model. Meanwhile, it could be speculated that cognitive dysfunction was improved by immunotherapy, perhaps mainly via reducing Aβ40, Aβ42, and Tau levels, as well as increasing IL-4 levels. CONCLUSION Immunotherapy significantly ameliorated the cognitive dysfunction of AD animal models by assessing behavioral indicators.
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Affiliation(s)
- Zhenwei Zhai
- School of Intelligent Medicine (ZZ, FK, ZZ, JD, JC, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Fanjing Kong
- School of Intelligent Medicine (ZZ, FK, ZZ, JD, JC, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Zhishan Zhu
- School of Intelligent Medicine (ZZ, FK, ZZ, JD, JC, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Jingyi Dai
- School of Intelligent Medicine (ZZ, FK, ZZ, JD, JC, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Jie Cai
- School of Intelligent Medicine (ZZ, FK, ZZ, JD, JC, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Danni Xie
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy (DX, YS, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuzhao Shen
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy (DX, YS, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ying Xu
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province (YX), Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Tao Sun
- School of Intelligent Medicine (ZZ, FK, ZZ, JD, JC, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China; State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy (DX, YS, TS), Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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8
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Yuan M, Wang F, Sun T, Bian X, Zhang Y, Guo C, Yu L, Yao Z. Vitamin B 6 alleviates chronic sleep deprivation-induced hippocampal ferroptosis through CBS/GSH/GPX4 pathway. Biomed Pharmacother 2024; 174:116547. [PMID: 38599059 DOI: 10.1016/j.biopha.2024.116547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/19/2024] [Accepted: 04/04/2024] [Indexed: 04/12/2024] Open
Abstract
Several studies have found that sleep deprivation (SD) can lead to neuronal ferroptosis and affect hippocampal function. However, there are currently no effective interventions. Vitamin B6 is a co-factor for key enzymes in the transsulfuration pathway which is critical for maintaining cell growth in the presence of cysteine deprivation. The results showed that SD inhibited cystine-glutamate antiporter light chain subunit xCT protein expression and caused cysteine deficiency, which reduced the synthesis of the glutathione (GSH) to trigger neuronal ferroptosis. Nissl staining further revealed significant neuronal loss and shrinkage in the CA1 and CA3 regions of the hippocampus in SD mice. Typical ferroptotic indicators characterized by lipid peroxidation and iron accumulation were showed in the hippocampus after sleep deprivation. As expected, vitamin B6 could alleviate hippocampal ferroptosis by upregulating the expression of cystathionine beta-synthase (CBS) in the transsulfuration pathway, thereby replenishing the intracellular deficient GSH and restoring the expression of GPX4. Similar anti-ferroptotic effects of vitamin B6 were demonstrated in HT-22 cells treated with ferroptosis activator erastin. Furthermore, vitamin B6 had no inhibitory effect on erastin-induced ferroptosis in CBS-knockout HT22 cells. Our findings suggested chronic sleep deprivation caused hippocampal ferroptosis by disrupting the cyst(e)ine/GSH/GPX4 axis. Vitamin B6 alleviated sleep deprivation-induced ferroptosis by enhancing CBS expression in the transsulfuration pathway.
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Affiliation(s)
- Man Yuan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Feng Wang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Tieqiang Sun
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Xiangyu Bian
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Yuxian Zhang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Changjiang Guo
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| | - Lixia Yu
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
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9
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Sauers SC, Toedebusch CD, Richardson R, Spira AP, Morris JC, Holtzman DM, Lucey BP. Midpoint of sleep is associated with sleep quality in older adults with and without symptomatic Alzheimer's disease. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae023. [PMID: 38711547 PMCID: PMC11071685 DOI: 10.1093/sleepadvances/zpae023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/27/2024] [Indexed: 05/08/2024]
Abstract
Introduction Disrupted sleep is common in individuals with Alzheimer's disease (AD) and may be a marker for AD risk. The timing of sleep affects sleep-wake activity and is also associated with AD, but little is known about links between sleep architecture and the midpoint of sleep in older adults. In this study, we tested if the midpoint of sleep is associated with different measures of sleep architecture, AD biomarkers, and cognitive status among older adults with and without symptomatic AD. Methods Participants (N = 243) with a mean age of 74 underwent standardized cognitive assessments, measurement of CSF AD biomarkers, and sleep monitoring via single-channel EEG, actigraphy, a home sleep apnea test, and self-reported sleep logs. The midpoint of sleep was defined by actigraphy. Results A later midpoint of sleep was associated with African-American race and greater night-to-night variability in the sleep midpoint. After adjusting for multiple potential confounding factors, a later sleep midpoint was associated with longer rapid-eye movement (REM) onset latency, decreased REM sleep time, more actigraphic awakenings at night, and higher < 2 Hz non-REM slow-wave activity. Conclusions Noninvasive in vivo markers of brain function, such as sleep, are needed to track both future risk of cognitive impairment and response to interventions in older adults at risk for AD. Sleep timing is associated with multiple other sleep measures and may affect their utility as markers of AD. The midpoint of sleep may be changed through behavioral intervention and should be taken into account when using sleep as a marker for AD risk.
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Affiliation(s)
- Scott C Sauers
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Cristina D Toedebusch
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Rachel Richardson
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Adam P Spira
- Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins School of Medicine, Baltimore, MD, USA
- The Johns Hopkins Center on Aging and Health, Baltimore, MD, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Center on Biological Rhythms and Sleep, Washington University School of Medicine, St Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
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10
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Wiranto Y, Siengsukon C, Mazzotti DR, Burns JM, Watts A. Sex Differences in the Role of Sleep on Cognition in Older Adults. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.08.24300996. [PMID: 38633788 PMCID: PMC11023683 DOI: 10.1101/2024.01.08.24300996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Study Objectives The study aimed to investigate sex differences in the relationship between sleep quality (self-report and objective) and cognitive function across three domains (executive function, verbal memory, and attention) in older adults. Methods We analyzed cross-sectional data from 207 participants with normal cognition or mild cognitive impairment (89 males and 118 females) aged over 60. The relationship between sleep quality and cognitive performance was estimated using generalized additive models. Objective sleep was measured with the GT9X Link Actigraph, and self-reported sleep was measured with the Pittsburgh Sleep Quality Index. Results We found that females exhibited stable performance of executive function with up to about 400 minutes of total sleep time, with significant declines in performance (p = 0.02) when total sleep time was longer. Additionally, a longer total sleep time contributed to lower verbal memory in a slightly non-linear manner (p = 0.03). Higher self-reported sleep complaints were associated with poorer executive function in females with normal cognition (p = 0.02). In males, a positive linear relationship emerged between sleep efficiency and executive function (p = 0.04), while self-reported sleep was not associated with cognitive performance in males with normal cognition. Conclusions Our findings suggest that the relationships between sleep quality and cognition differ between older males and females, with executive function being the most influenced by objective and self-reported sleep. Interventions targeting sleep quality to mitigate cognitive decline in older adults may need to be tailored according to sex, with distinct approaches for males and females.
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Affiliation(s)
- Yumiko Wiranto
- Department of Psychology, University of Kansas, Lawrence, Kansas, United States of America
| | - Catherine Siengsukon
- University of Kansas Medical Center, Department of Physical Therapy and Rehabilitation Science, Kansas City, KS USA
| | - Diego R. Mazzotti
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center
| | - Jeffrey M. Burns
- University of Kansas, Alzheimer’s Disease Research Center, Fairway, Kansas, United States of America
| | - Amber Watts
- Department of Psychology, University of Kansas, Lawrence, Kansas, United States of America
- University of Kansas, Alzheimer’s Disease Research Center, Fairway, Kansas, United States of America
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11
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Zhang X, Chen C, Liu Y. Navigating the metabolic maze: anomalies in fatty acid and cholesterol processes in Alzheimer's astrocytes. Alzheimers Res Ther 2024; 16:63. [PMID: 38521950 PMCID: PMC10960454 DOI: 10.1186/s13195-024-01430-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/13/2024] [Indexed: 03/25/2024]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia, and its underlying mechanisms have been a subject of great interest. The mainstream theory of AD pathology suggests that the disease is primarily associated with tau protein and amyloid-beta (Aβ). However, an increasing body of research has revealed that abnormalities in lipid metabolism may be an important event throughout the pathophysiology of AD. Astrocytes, as important members of the lipid metabolism network in the brain, play a significant role in this event. The study of abnormal lipid metabolism in astrocytes provides a new perspective for understanding the pathogenesis of AD. This review focuses on the abnormal metabolism of fatty acids (FAs) and cholesterol in astrocytes in AD, and discusses it from three perspectives: lipid uptake, intracellular breakdown or synthesis metabolism, and efflux transport. We found that, despite the accumulation of their own fatty acids, astrocytes cannot efficiently uptake fatty acids from neurons, leading to fatty acid accumulation within neurons and resulting in lipotoxicity. In terms of cholesterol metabolism, astrocytes exhibit a decrease in endogenous synthesis due to the accumulation of exogenous cholesterol. Through a thorough investigation of these metabolic abnormalities, we can provide new insights for future therapeutic strategies by literature review to navigate this complex metabolic maze and bring hope to patients with Alzheimer's disease.
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Affiliation(s)
- Xiaoyu Zhang
- Department of Neurosurgery, Institute of Brain Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Chuanying Chen
- Department of Neurosurgery, Institute of Brain Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China
- School of Traditional Chinese Medicine, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, Guangdong, 510515, People's Republic of China
| | - Yi Liu
- Department of Neurosurgery, Institute of Brain Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
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12
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Mayer G, Frohnhofen H, Jokisch M, Hermann DM, Gronewold J. Associations of sleep disorders with all-cause MCI/dementia and different types of dementia - clinical evidence, potential pathomechanisms and treatment options: A narrative review. Front Neurosci 2024; 18:1372326. [PMID: 38586191 PMCID: PMC10995403 DOI: 10.3389/fnins.2024.1372326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/11/2024] [Indexed: 04/09/2024] Open
Abstract
Due to worldwide demographic change, the number of older persons in the population is increasing. Aging is accompanied by changes of sleep structure, deposition of beta-amyloid (Aß) and tau proteins and vascular changes and can turn into mild cognitive impairment (MCI) as well as dementia. Sleep disorders are discussed both as a risk factor for and as a consequence of MCI/dementia. Cross-sectional and longitudinal population-based as well as case-control studies revealed sleep disorders, especially sleep-disorderded breathing (SDB) and excessive or insufficient sleep durations, as risk factors for all-cause MCI/dementia. Regarding different dementia types, SDB was especially associated with vascular dementia while insomnia/insufficient sleep was related to an increased risk of Alzheimer's disease (AD). Scarce and still inconsistent evidence suggests that therapy of sleep disorders, especially continuous positive airway pressure (CPAP) in SDB, can improve cognition in patients with sleep disorders with and without comorbid dementia and delay onset of MCI/dementia in patients with sleep disorders without previous cognitive impairment. Regarding potential pathomechanisms via which sleep disorders lead to MCI/dementia, disturbed sleep, chronic sleep deficit and SDB can impair glymphatic clearance of beta-amyloid (Aß) and tau which lead to amyloid deposition and tau aggregation resulting in changes of brain structures responsible for cognition. Orexins are discussed to modulate sleep and Aß pathology. Their diurnal fluctuation is suppressed by sleep fragmentation and the expression suppressed at the point of hippocampal atrophy, contributing to the progression of dementia. Additionally, sleep disorders can lead to an increased vascular risk profile and vascular changes such as inflammation, endothelial dysfunction and atherosclerosis which can foster neurodegenerative pathology. There is ample evidence indicating that changes of sleep structure in aging persons can lead to dementia and also evidence that therapy of sleep disorder can improve cognition. Therefore, sleep disorders should be identified and treated early.
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Affiliation(s)
- Geert Mayer
- Department of Neurology, Philipps-Universität Marburg, Marburg, Germany
| | - Helmut Frohnhofen
- Department of Orthopedics and Trauma Surgery, University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Department of Medicine, Geriatrics, Faculty of Health, University Witten-Herdecke, Witten, Germany
| | - Martha Jokisch
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Dirk M. Hermann
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Janine Gronewold
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
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13
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Xiao X, Rui Y, Jin Y, Chen M. Relationship of Sleep Disorder with Neurodegenerative and Psychiatric Diseases: An Updated Review. Neurochem Res 2024; 49:568-582. [PMID: 38108952 DOI: 10.1007/s11064-023-04086-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 12/19/2023]
Abstract
Sleep disorders affect many people worldwide and can accompany neurodegenerative and psychiatric diseases. Sleep may be altered before the clinical manifestations of some of these diseases appear. Moreover, some sleep disorders affect the physiological organization and function of the brain by influencing gene expression, accelerating the accumulation of abnormal proteins, interfering with the clearance of abnormal proteins, or altering the levels of related hormones and neurotransmitters, which can cause or may be associated with the development of neurodegenerative and psychiatric diseases. However, the detailed mechanisms of these effects are unclear. This review mainly focuses on the relationship between and mechanisms of action of sleep in Alzheimer's disease, depression, and anxiety, as well as the relationships between sleep and Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. This summary of current research hotspots may provide researchers with better clues and ideas to develop treatment solutions for neurodegenerative and psychiatric diseases associated with sleep disorders.
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Affiliation(s)
- Xiao Xiao
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yimin Rui
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yu Jin
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Ming Chen
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
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14
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Yavuz E, Gahnstrom CJ, Goodroe S, Coutrot A, Hornberger M, Lazar AS, Spiers HJ. Shorter self-reported sleep duration is associated with worse virtual spatial navigation performance in men. Sci Rep 2024; 14:4093. [PMID: 38374314 PMCID: PMC10876962 DOI: 10.1038/s41598-024-52662-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
Sleep has been shown to impact navigation ability. However, it remains unclear how different sleep-related variables may be independently associated with spatial navigation performance, and as to whether gender may play a role in these associations. We used a mobile video game app, Sea Hero Quest (SHQ), to measure wayfinding ability in US-based participants. Wayfinding performance on SHQ has been shown to correlate with real-world wayfinding. Participants were asked to report their sleep duration, quality, daytime sleepiness and nap frequency and duration on a typical night (n = 766, 335 men, 431 women, mean age = 26.5 years, range = 18-59 years). A multiple linear regression was used to identify which self-reported sleep variables were independently associated with wayfinding performance. Shorter self-reported sleep durations were significantly associated with worse wayfinding performance in men only. Other self-reported sleep variables showed non-significant trends of association with wayfinding performance. When removing non-typical sleepers (< 6 or > 9 h of sleep on a typical night), the significant association between sleep duration and spatial navigation performance in men was no longer present. These findings from U.S.-based participants suggest that a longer self-reported sleep duration may be an important contributor to successful navigation ability in men.
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Affiliation(s)
- Emre Yavuz
- Division of Psychology and Language Sciences, Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, UK.
| | | | - Sarah Goodroe
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Alpar S Lazar
- Norwich Medical School, University of East Anglia, Norwich, UK.
| | - Hugo J Spiers
- Division of Psychology and Language Sciences, Department of Experimental Psychology, Institute of Behavioural Neuroscience, University College London, London, UK.
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15
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Ferini-Strambi L, Liguori C, Lucey BP, Mander BA, Spira AP, Videnovic A, Baumann C, Franco O, Fernandes M, Gnarra O, Krack P, Manconi M, Noain D, Saxena S, Kallweit U, Randerath W, Trenkwalder C, Rosenzweig I, Iranzo A, Bradicich M, Bassetti C. Role of sleep in neurodegeneration: the consensus report of the 5th Think Tank World Sleep Forum. Neurol Sci 2024; 45:749-767. [PMID: 38087143 DOI: 10.1007/s10072-023-07232-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/26/2023] [Indexed: 01/18/2024]
Abstract
Sleep abnormalities may represent an independent risk factor for neurodegeneration. An international expert group convened in 2021 to discuss the state-of-the-science in this domain. The present article summarizes the presentations and discussions concerning the importance of a strategy for studying sleep- and circadian-related interventions for early detection and prevention of neurodegenerative diseases. An international expert group considered the current state of knowledge based on the most relevant publications in the previous 5 years; discussed the current challenges in the field of relationships among sleep, sleep disorders, and neurodegeneration; and identified future priorities. Sleep efficiency and slow wave activity during non-rapid eye movement (NREM) sleep are decreased in cognitively normal middle-aged and older adults with Alzheimer's disease (AD) pathology. Sleep deprivation increases amyloid-β (Aβ) concentrations in the interstitial fluid of experimental animal models and in cerebrospinal fluid in humans, while increased sleep decreases Aβ. Obstructive sleep apnea (OSA) is a risk factor for dementia. Studies indicate that positive airway pressure (PAP) treatment should be started in patients with mild cognitive impairment or AD and comorbid OSA. Identification of other measures of nocturnal hypoxia and sleep fragmentation could better clarify the role of OSA as a risk factor for neurodegeneration. Concerning REM sleep behavior disorder (RBD), it will be crucial to identify the subset of RBD patients who will convert to a specific neurodegenerative disorder. Circadian sleep-wake rhythm disorders (CSWRD) are strong predictors of caregiver stress and institutionalization, but the absence of recommendations or consensus statements must be considered. Future priorities include to develop and validate existing and novel comprehensive assessments of CSWRD in patients with/at risk for dementia. Strategies for studying sleep-circadian-related interventions for early detection/prevention of neurodegenerative diseases are required. CSWRD evaluation may help to identify additional biomarkers for phenotyping and personalizing treatment of neurodegeneration.
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Affiliation(s)
- Luigi Ferini-Strambi
- Sleep Disorders Center, Division of Neuroscience, Università Vita-Salute San Raffaele, Milan, Italy.
| | - Claudio Liguori
- Sleep Medicine Center, University of Rome Tor Vergata, Rome, Italy
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aleksandar Videnovic
- Department of Neurology, Division of Sleep Medicine, Massachussets General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian Baumann
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | | | - Oriella Gnarra
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Paul Krack
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Mauro Manconi
- Sleep Medicine Unit, Faculty of Biomedical Sciences, Neurocenter of the Southern Switzerland, Regional Hospital of Lugano, Università Della Svizzera Italiana, Lugano, Switzerland
| | - Daniela Noain
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Smita Saxena
- Department of Neurology, University of Bern, Bern, Switzerland
| | - Ulf Kallweit
- Clinical Sleep and Neuroimmunology, University Witten/Herdecke, Witten, Germany
| | | | - C Trenkwalder
- Department of Neurosurgery, Paracelsus-Elena Klinik, University Medical Center, KasselGoettingen, Germany
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, King's College London, London, UK
| | - Alex Iranzo
- Sleep Center, Neurology Service, Hospital Clinic de Barcelona, Barcelona, IDIBAPS, CIBERNED, Barcelona, Spain
| | - Matteo Bradicich
- Department of Pulmonology and Sleep Disorders Centre, University Hospital Zurich, Zurich, Switzerland
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16
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Yu X, Zhou X, He Z, He B, Wan K, Wei M, Guo T, Han Y. Sleep and APOE-ε4 have a synergistic effect on plasma biomarkers and longitudinal cognitive decline in older adults. CNS Neurosci Ther 2024; 30:e14558. [PMID: 38421124 PMCID: PMC10850800 DOI: 10.1111/cns.14558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 10/31/2023] [Accepted: 11/25/2023] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Sleep disorders are prevalent among patients with Alzheimer's disease (AD), and the APOE ε4 genotype is a key genetic risk factor for sporadic AD. However, the combined effect of the genotype and sleep disorders on cognitive decline remains uncertain. METHODS A total of 972 participants were drawn from the SILCODE cohort, comprising 655 without the ε4 allele (APOE-) and 317 with ε4 allele (APOE+). Data were collected, including neuropsychological assessments, sleep measurements, plasma biomarkers, and PET imaging. A Sleep Composite Index (SCI) was created, categorizing participants into high risk (Sleep+) and low risk (Sleep-). RESULTS Significant predictions of dementia risk associated with plasma p-tau181, neurofilament light chain (NfL), and SCI. Individuals with both Sleep+ and APOE+ had a higher risk of dementia compared to those with Sleep-. The Sleep+/APOE+ group had higher plasma NfL levels than the Sleep-/APOE- group. Similar trends emerged in plasma NfL levels among the Aβ PET-positive subgroup. Plasma NfL levels explained 23% of the relationship between SCI and cognitive impairment. CONCLUSION Our study highlights sleep disorder was associated with cognitive decline, with plasma NfL playing a partial mediating role. These findings explain how sleep disorders affect cognitive function and emphasize the importance of healthy sleep for older adults.
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Affiliation(s)
- Xianfeng Yu
- Department of NeurologyXuanwu Hospital of Capital Medical UniversityBeijingChina
| | - Xia Zhou
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
| | - Zhengbo He
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Beiqi He
- School of Information and Communication EngineeringHainan UniversityHaikouChina
| | - Ke Wan
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
| | - Min Wei
- Department of NeurologyXuanwu Hospital of Capital Medical UniversityBeijingChina
| | - Tengfei Guo
- Institute of Biomedical EngineeringShenzhen Bay LaboratoryShenzhenChina
| | - Ying Han
- Department of NeurologyXuanwu Hospital of Capital Medical UniversityBeijingChina
- School of Information and Communication EngineeringHainan UniversityHaikouChina
- Center of Alzheimer's DiseaseBeijing Institute for Brain DisordersBeijingChina
- National Clinical Research Center for Geriatric DisordersBeijingChina
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Lucey BP. Paradoxical effects of daytime sleepiness and memory in African Americans at risk for Alzheimer's disease. Sleep 2024; 47:zsad301. [PMID: 38011628 PMCID: PMC10782496 DOI: 10.1093/sleep/zsad301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Indexed: 11/29/2023] Open
Affiliation(s)
- Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
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Carpi M, Fernandes M, Mercuri NB, Liguori C. Sleep Biomarkers for Predicting Cognitive Decline and Alzheimer's Disease: A Systematic Review of Longitudinal Studies. J Alzheimers Dis 2024; 97:121-143. [PMID: 38043016 DOI: 10.3233/jad-230933] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2023]
Abstract
BACKGROUND Sleep disturbances are considered a hallmark of dementia, and strong evidence supports the association between alterations in sleep parameters and cognitive decline in patients with mild cognitive impairment and Alzheimer's disease (AD). OBJECTIVE This systematic review aims to summarize the existing evidence on the longitudinal association between sleep parameters and cognitive decline, with the goal of identifying potential sleep biomarkers of AD-related neurodegeneration. METHODS Literature search was conducted in PubMed, Web of Science, and Scopus databases from inception to 28 March 2023. Longitudinal studies investigating the association between baseline objectively-measured sleep parameters and cognitive decline were assessed for eligibility. RESULTS Seventeen studies were included in the qualitative synthesis. Sleep fragmentation, reduced sleep efficiency, reduced REM sleep, increased light sleep, and sleep-disordered breathing were identified as predictors of cognitive decline. Sleep duration exhibited a U-shaped relation with subsequent neurodegeneration. Additionally, several sleep microstructural parameters were associated with cognitive decline, although inconsistencies were observed across studies. CONCLUSIONS These findings suggest that sleep alterations hold promise as early biomarker of cognitive decline, but the current evidence is limited due to substantial methodological heterogeneity among studies. Further research is necessary to identify the most reliable sleep parameters for predicting cognitive impairment and AD, and to investigate interventions targeting sleep that can assist clinicians in the early recognition and treatment of cognitive decline. Standardized procedures for longitudinal studies evaluating sleep and cognition should be developed and the use of continuous sleep monitoring techniques, such as actigraphy or EEG headband, might be encouraged.
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Affiliation(s)
- Matteo Carpi
- Sleep Medicine Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy
| | - Mariana Fernandes
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Biagio Mercuri
- Sleep Medicine Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Claudio Liguori
- Sleep Medicine Centre, Neurology Unit, University Hospital Tor Vergata, Rome, Italy
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
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19
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Wang Q, Xu S, Liu F, Liu Y, Chen K, Huang L, Xu F, Liu Y. Causal relationship between sleep traits and cognitive impairment: A Mendelian randomization study. J Evid Based Med 2023; 16:485-494. [PMID: 38108111 DOI: 10.1111/jebm.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/30/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVE Observational studies had demonstrated a link between sleep disturbances and cognitive decline. Here, we aimed to investigate the causal association between genetically predicted sleep traits and cognitive impairment using Mendelian randomization (MR). METHODS Using strict criteria, we selected genetic variants from European ancestry Genome-wide association studies (GWAS) from the Sleep Disorders Knowledge Portal and UK Biobank as instrumental variables for several sleep traits, including insomnia, sleep duration, daytime sleepiness, daytime napping, and chronotype. Summary statistics related to cognitive impairment were derived from five different GWAS, including the Social Science Genetic Association Consortium. The role of self-reported sleep trait phenotypes in the etiology of cognitive impairment was explored using inverse-variance weighted (IVW) tests, MR-Egger tests, and weighted medians, and sensitivity analyses were conducted to ensure robustness. RESULTS In the main IVW analysis, sleep duration (reaction time: β = -0.05, 95% CI -0.07 to -0.04, p = 1.93×10-12 ), daytime sleepiness (average cortical thickness: β = -0.12, 95% CI -0.22 to -0.02, p = 0.023), and daytime napping (fluid intelligence: β = -0.47, 95% CI -0.87 to -0.07, p = 0.021; hippocampal volume in Alzheimer's disease: β = -0.99, 95% CI -1.64 to -0.35, p = 0.002) were significantly negatively correlated with cognitive performance. However, any effects of insomnia and chronotype on cognitive impairment were not determined. CONCLUSIONS Our findings highlighted that focusing on sleep behaviors or distinct sleep patterns-particularly sleep duration, daytime sleepiness, and daytime napping, was a promising approach for preventing cognitive impairment. This study also shed light on risk factors for and potential early markers of cognitive impairment risk factors.
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Affiliation(s)
- Qing Wang
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shihan Xu
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fenglan Liu
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yanfei Liu
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Keji Chen
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Luqi Huang
- China Evidence-based Medicine Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fengqin Xu
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yue Liu
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Devulder A, Macea J, Kalkanis A, De Winter F, Vandenbulcke M, Vandenberghe R, Testelmans D, Van Den Bossche MJA, Van Paesschen W. Subclinical epileptiform activity and sleep disturbances in Alzheimer's disease. Brain Behav 2023; 13:e3306. [PMID: 37950422 PMCID: PMC10726840 DOI: 10.1002/brb3.3306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 10/16/2023] [Accepted: 10/22/2023] [Indexed: 11/12/2023] Open
Abstract
INTRODUCTION Subclinical epileptiform activity (SEA) and sleep disturbances are frequent in Alzheimer's disease (AD). Both have an important relation to cognition and potential therapeutic implications. We aimed to study a possible relationship between SEA and sleep disturbances in AD. METHODS In this cross-sectional study, we performed a 24-h ambulatory EEG and polysomnography in 48 AD patients without diagnosis of epilepsy and 34 control subjects. RESULTS SEA, mainly detected in frontotemporal brain regions during N2 with a median of three spikes/night [IQR1-17], was three times more prevalent in AD. AD patients had lower sleep efficacy, longer wake after sleep onset, more awakenings, more N1%, less REM sleep and a higher apnea-hypopnea index (AHI) and oxygen desaturation index (ODI). Sleep was not different between AD subgroup with SEA (AD-Epi+) and without SEA (AD-Epi-); however, compared to controls, REM% was decreased and AHI and ODI were increased in the AD-Epi+ subgroup. DISCUSSION Decreased REM sleep and more severe sleep-disordered breathing might be related to SEA in AD. These results could have diagnostic and therapeutic implications and warrant further study at the intersection between sleep and epileptiform activity in AD.
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Affiliation(s)
- Astrid Devulder
- Laboratory for Epilepsy Research, KU Leuven and Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Jaiver Macea
- Laboratory for Epilepsy Research, KU Leuven and Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Alexandros Kalkanis
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven and Department of Pulmonary DiseasesUniversity Hospitals LeuvenLeuvenBelgium
| | - François‐Laurent De Winter
- Division of Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven and Department of Geriatric PsychiatryUniversity Psychiatric Center (UPC) KU LeuvenLeuvenBelgium
| | - Mathieu Vandenbulcke
- Division of Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven and Department of Geriatric PsychiatryUniversity Psychiatric Center (UPC) KU LeuvenLeuvenBelgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, KU Leuven and Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Dries Testelmans
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven and Department of Pulmonary DiseasesUniversity Hospitals LeuvenLeuvenBelgium
| | - Maarten J. A. Van Den Bossche
- Division of Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven and Department of Geriatric PsychiatryUniversity Psychiatric Center (UPC) KU LeuvenLeuvenBelgium
| | - Wim Van Paesschen
- Laboratory for Epilepsy Research, KU Leuven and Department of NeurologyUniversity Hospitals LeuvenLeuvenBelgium
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Marzola P, Melzer T, Pavesi E, Gil-Mohapel J, Brocardo PS. Exploring the Role of Neuroplasticity in Development, Aging, and Neurodegeneration. Brain Sci 2023; 13:1610. [PMID: 38137058 PMCID: PMC10741468 DOI: 10.3390/brainsci13121610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/16/2023] [Accepted: 11/18/2023] [Indexed: 12/24/2023] Open
Abstract
Neuroplasticity refers to the ability of the brain to reorganize and modify its neural connections in response to environmental stimuli, experience, learning, injury, and disease processes. It encompasses a range of mechanisms, including changes in synaptic strength and connectivity, the formation of new synapses, alterations in the structure and function of neurons, and the generation of new neurons. Neuroplasticity plays a crucial role in developing and maintaining brain function, including learning and memory, as well as in recovery from brain injury and adaptation to environmental changes. In this review, we explore the vast potential of neuroplasticity in various aspects of brain function across the lifespan and in the context of disease. Changes in the aging brain and the significance of neuroplasticity in maintaining cognitive function later in life will also be reviewed. Finally, we will discuss common mechanisms associated with age-related neurodegenerative processes (including protein aggregation and accumulation, mitochondrial dysfunction, oxidative stress, and neuroinflammation) and how these processes can be mitigated, at least partially, by non-invasive and non-pharmacologic lifestyle interventions aimed at promoting and harnessing neuroplasticity.
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Affiliation(s)
- Patrícia Marzola
- Department of Morphological Sciences and Graduate Neuroscience Program, Center of Biological Sciences, Federal University of Santa Catarina, Florianopolis 88040-900, SC, Brazil; (P.M.); (T.M.); (E.P.)
| | - Thayza Melzer
- Department of Morphological Sciences and Graduate Neuroscience Program, Center of Biological Sciences, Federal University of Santa Catarina, Florianopolis 88040-900, SC, Brazil; (P.M.); (T.M.); (E.P.)
| | - Eloisa Pavesi
- Department of Morphological Sciences and Graduate Neuroscience Program, Center of Biological Sciences, Federal University of Santa Catarina, Florianopolis 88040-900, SC, Brazil; (P.M.); (T.M.); (E.P.)
| | - Joana Gil-Mohapel
- Division of Medical Sciences, University of Victoria, Victoria, BC V8P 5C2, Canada
- Island Medical Program, Faculty of Medicine, University of British Columbia, Victoria, BC V8P 5C2, Canada
| | - Patricia S. Brocardo
- Department of Morphological Sciences and Graduate Neuroscience Program, Center of Biological Sciences, Federal University of Santa Catarina, Florianopolis 88040-900, SC, Brazil; (P.M.); (T.M.); (E.P.)
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22
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Yoon SH, Kim HK, Lee JH, Chun JH, Sohn YH, Lee PH, Ryu YH, Cho H, Yoo HS, Lyoo CH. Association of Sleep Disturbances With Brain Amyloid and Tau Burden, Cortical Atrophy, and Cognitive Dysfunction Across the AD Continuum. Neurology 2023; 101:e2162-e2171. [PMID: 37813585 PMCID: PMC10663023 DOI: 10.1212/wnl.0000000000207917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/24/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Patients with Alzheimer disease (AD) frequently suffer from various sleep disturbances. However, how sleep disturbance is associated with AD and its progression remains poorly investigated. We investigated the association of total sleep time with brain amyloid and tau burden, cortical atrophy, cognitive dysfunction, and their longitudinal changes in the AD spectrum. METHODS In this retrospective cohort study, we enrolled participants on the AD spectrum who were positive on 18F-florbetaben (FBB) PET. All participants underwent the Pittsburgh Sleep Quality Index, brain MRI, FBB PET, 18F-flortaucipir (FTP) PET, and detailed neuropsychological testing. In addition, a subset of participants completed follow-up assessments. We analyzed the association of total sleep time with the baseline and longitudinal FBB-standardized uptake value ratio (SUVR), FTP-SUVR, cortical thickness, and cognitive domain composite scores. RESULTS We examined 138 participants on the AD spectrum (15 with preclinical AD, 62 with prodromal AD, and 61 with AD dementia; mean age 73.4 ± 8.0 years; female 58.7%). Total sleep time was longer in the AD dementia group (7.4 ± 1.6 hours) compared with the preclinical (6.5 ± 1.4 hours; p = 0.026) and prodromal groups (6.6 ± 1.4 hours; p = 0.001), whereas other sleep parameters did not differ between groups. Longer total sleep time was not associated with amyloid accumulation but rather with tau accumulation, especially in the amygdala, hippocampus, basal forebrain, insular, cingulate, occipital, inferior temporal cortices, and precuneus. Longer total sleep time predicted faster tau accumulation in Braak regions V-VI (β = 0.016, p = 0.007) and disease progression to mild cognitive impairment or dementia (hazard ratio = 1.554, p = 0.024). Longer total sleep time was also associated with memory deficit (β = -0.19, p = 0.008). DISCUSSION Prolonged total sleep time was associated with tau accumulation in sleep-related cortical and subcortical areas as well as memory dysfunction. It also predicted faster disease progression with tau accumulation. Our study highlights the clinical importance of assessing total sleep time as a marker for disease severity and prognosis in the AD spectrum.
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Affiliation(s)
- So Hoon Yoon
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Han-Kyeol Kim
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Hoon Lee
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Joong-Hyun Chun
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young H Sohn
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Phil Hyu Lee
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Hoon Ryu
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hanna Cho
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Han Soo Yoo
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Chul Hyoung Lyoo
- From the Department of Neurology (S.H.Y.), International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon; Departments of Neurology (H.-K.K., H.C., H.S.Y., C.H.L.) and Nuclear Medicine (J.-H.L., Y.H.R.), Gangnam Severance Hospital; Departments of Nuclear Medicine (J.-H.C.) and Neurology (Y.H.S., P.H.L.), Yonsei University College of Medicine, Seoul, Republic of Korea
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23
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Hang Z, Zhou L, Xing C, Wen Y, Du H. The blood-brain barrier, a key bridge to treat neurodegenerative diseases. Ageing Res Rev 2023; 91:102070. [PMID: 37704051 DOI: 10.1016/j.arr.2023.102070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 09/06/2023] [Accepted: 09/09/2023] [Indexed: 09/15/2023]
Abstract
As a highly selective and semi-permeable barrier that separates the circulating blood from the brain and central nervous system (CNS), the blood-brain barrier (BBB) plays a critical role in the onset and treatment of neurodegenerative diseases (NDs). To delay or reverse the NDs progression, the dysfunction of BBB should be improved to protect the brain from harmful substances. Simultaneously, a highly efficient drug delivery across the BBB is indispensable. Here, we summarized several methods to improve BBB dysfunction in NDs, including knocking out risk geneAPOE4, regulating circadian rhythms, restoring the gut microenvironment, and activating the Wnt/β-catenin signaling pathway. Then we discussed the advances in BBB penetration techniques, such as transient BBB opening, carrier-mediated drug delivery, and nasal administration, which facilitates drug delivery across the BBB. Furthermore, various in vivo and in vitro BBB models and research methods related to NDs are reviewed. Based on the current research progress, the treatment of NDs in the long term should prioritize the integrity of the BBB. However, a treatment approach that combines precise control of transient BBB permeability and non-invasive targeted BBB drug delivery holds profound significance in improving treatment effectiveness, safety, and clinical feasibility during drug therapy. This review involves the cross application of biology, materials science, imaging, engineering and other disciplines in the field of BBB, aiming to provide multi-dimensional research directions and clinical ideas for the treating NDs.
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Affiliation(s)
- Zhongci Hang
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Liping Zhou
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China; Beijing Key Laboratory for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing 100083, China
| | - Cencan Xing
- Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Yongqiang Wen
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Beijing Key Laboratory for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing 100083, China.
| | - Hongwu Du
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China.
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24
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Sen A, Tai XY. Sleep Duration and Executive Function in Adults. Curr Neurol Neurosci Rep 2023; 23:801-813. [PMID: 37957525 PMCID: PMC10673787 DOI: 10.1007/s11910-023-01309-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE OF REVIEW To review the literature examining the relationship between sleep and cognition, specifically examining the sub-domain of executive function. We explore the impact of sleep deprivation and the important question of how much sleep is required for optimal cognitive performance. We consider how other sleep metrics, such as sleep quality, may be a more meaningful measure of sleep. We then discuss the putative mechanisms between sleep and cognition followed by their contribution to developing dementia. RECENT FINDINGS Sleep duration and executive function display a quadratic relationship. This suggests an optimal amount of sleep is required for daily cognitive processes. Poor sleep efficiency and sleep fragmentation are linked with poorer executive function and increased risk of dementia during follow-up. Sleep quality may therefore be more important than absolute duration. Biological mechanisms which may underpin the relationship between sleep and cognition include brain structural and functional changes as well as disruption of the glymphatic system. Sleep is an important modifiable lifestyle factor to improve daily cognition and, possibly, reduce the risk of developing dementia. The impact of optimal sleep duration and sleep quality may have important implications for every ageing individual.
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Affiliation(s)
- Aayushi Sen
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Level 6 West Wing, Oxford, UK.
| | - Xin You Tai
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Level 6 West Wing, Oxford, UK
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25
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Mayer G, Stenmanns C, Doeppner TR, Hermann DM, Gronewold J. [Sleep and dementia]. Z Gerontol Geriatr 2023; 56:556-560. [PMID: 37676320 DOI: 10.1007/s00391-023-02237-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2023] [Indexed: 09/08/2023]
Abstract
Aging is associated with changes in sleep structure and cerebral deposition of amyloid beta and tau proteins. Sleep disturbances precede the onset of dementia by years. Comorbid sleep disorders, such as insomnia and sleep-disordered breathing, a family history of dementia and epigenetic factors can contribute to the development of dementia. This article explores the question of the interaction between sleep and dementia based on the existing literature. Alterations caused by slow wave sleep lead to changes in the glymphatic clearance of amyloid beta, tau proteins and other proteins. Transient and chronic sleep disorders cause disturbances in the brain areas responsible for cognition and behavior. Sleep-regulating brain areas are the first to be affected in the neurodegenerative process and accelerate the risk of dementia. Circadian age-related changes in amyloid beta and tau proteins affect the amount and depth of sleep and vice versa. Amyloid beta in cerebrospinal fluid shows an inverse correlation with sleep. Orexins modulate amyloid beta and sleep.
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Affiliation(s)
- Geert Mayer
- Philipps-Universität Marburg, Marburg, Deutschland.
- , Privatweg 2, 34582, Borken, Deutschland.
| | - Carla Stenmanns
- Klinik für Orthopädie und Unfallchirurgie, Altersmedizin, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
| | - Thorsten R Doeppner
- Klinik für Neurologie, Universitätsklinkum Gießen und Marburg, Gießen, Deutschland
| | - Dirk M Hermann
- Klinik für Neurologie, Universitätsklinikum Essen, Essen, Deutschland
| | - Janine Gronewold
- Klinik für Neurologie, Universitätsklinikum Essen, Essen, Deutschland
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26
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Arévalo SP, Nguyen-Rodriguez ST, Scott TM, Gao X, Falcón LM, Tucker KL. Longitudinal Associations Between Sleep and Cognitive Function in a Cohort of Older Puerto Rican Adults: Sex and Age Interactions. J Gerontol A Biol Sci Med Sci 2023; 78:1816-1825. [PMID: 37306295 PMCID: PMC10562885 DOI: 10.1093/gerona/glad144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Indexed: 06/13/2023] Open
Abstract
BACKGROUND Evidence on sleep duration or quality and cognitive function in diverse older adults is limited. We examined prospective associations between subjective sleep measures and cognitive function, with modifying effects of sex and age (<65 vs ≥65 years). METHODS Data are from the longitudinal Boston Puerto Rican Health Study, Waves 2 (n = 943) and 4 (n = 444), with mean follow-up of 10.5 years (range 7.2-12.8). Subjective measures of sleep duration (short <7, ref. 7, or long ≥8 hours) and insomnia symptoms (sum of difficulty falling asleep, waking up at night, and early morning awakening), were assessed at Wave 2. Linear regression models were used to assess changes in global cognition, executive function, memory, and Mini-Mental State Examination, and tested for modifying roles of sex and age. RESULTS Significant 3-way interaction (sex × age × cognition) in fully adjusted models showed greater decline in global cognitive function in older men with short (β [95% confidence interval]: -0.67 [-1.24, -0.10]) or long sleep duration (-0.92 [-1.55, -0.30]), compared to women, younger men, and older men with 7 hours of sleep. Insomnia symptoms were associated with a greater decline in memory (-0.54, [-0.85, -0.22]) among older men, compared to women and younger men. CONCLUSION Sleep duration showed a U-shaped association with cognitive decline, and insomnia symptoms were associated with memory decline in fully adjusted models. Older men, versus women and younger men, were at relatively greater risk for cognitive decline associated with sleep factors. These findings are important for personalizing sleep interventions to support cognitive health.
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Affiliation(s)
- Sandra P Arévalo
- Department of Human Development, California State University, Long Beach, California, USA
| | | | - Tammy M Scott
- Neuroscience and Aging Laboratory, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Boston, Massachusetts, USA
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai, China
| | - Luis M Falcón
- College of Fine Arts, Humanities and Social Sciences, University of Massachusetts, Lowell, Massachusetts, USA
| | - Katherine L Tucker
- Department of Biomedical and Nutritional Sciences, University of MassachusettsLowell, Massachusetts, USA
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27
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Ramasubbu K, Ramanathan G, Venkatraman G, Rajeswari VD. Sleep-associated insulin resistance promotes neurodegeneration. Mol Biol Rep 2023; 50:8665-8681. [PMID: 37580496 DOI: 10.1007/s11033-023-08710-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 07/25/2023] [Indexed: 08/16/2023]
Abstract
Lifestyle modification can lead to numerous health issues closely associated with sleep. Sleep deprivation and disturbances significantly affect inflammation, immunity, neurodegeneration, cognitive depletion, memory impairment, neuroplasticity, and insulin resistance. Sleep significantly impacts brain and memory formation, toxin excretion, hormonal function, metabolism, and motor and cognitive functions. Sleep restriction associated with insulin resistance affects these functions by interfering with the insulin signalling pathway, neurotransmission, inflammatory pathways, and plasticity of neurons. So, in this review, We discuss the evidence that suggests that neurodegeneration occurs via sleep and is associated with insulin resistance, along with the insulin signalling pathways involved in neurodegeneration and neuroplasticity, while exploring the role of hormones in these conditions.
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Affiliation(s)
- Kanagavalli Ramasubbu
- Department of Bio-Medical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Gnanasambandan Ramanathan
- Department of Bio-Medical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Ganesh Venkatraman
- Department of Bio-Medical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - V Devi Rajeswari
- Department of Bio-Medical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
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28
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McGregor JN, Farris CA, Ensley S, Schneider A, Wang C, Liu Y, Tu J, Elmore H, Ronayne KD, Wessel R, Dyer EL, Bhaskaran-Nair K, Holtzman DM, Hengen KB. Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not in the activity of individual neurons. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.01.555947. [PMID: 37732214 PMCID: PMC10508737 DOI: 10.1101/2023.09.01.555947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
The homeostatic regulation of neuronal activity is essential for robust computation; key set-points, such as firing rate, are actively stabilized to compensate for perturbations. From this perspective, the disruption of brain function central to neurodegenerative disease should reflect impairments of computationally essential set-points. Despite connecting neurodegeneration to functional outcomes, the impact of disease on set-points in neuronal activity is unknown. Here we present a comprehensive, theory-driven investigation of the effects of tau-mediated neurodegeneration on homeostatic set-points in neuronal activity. In a mouse model of tauopathy, we examine 27,000 hours of hippocampal recordings during free behavior throughout disease progression. Contrary to our initial hypothesis that tauopathy would impact set-points in spike rate and variance, we found that cell-level set-points are resilient to even the latest stages of disease. Instead, we find that tauopathy disrupts neuronal activity at the network-level, which we quantify using both pairwise measures of neuron interactions as well as measurement of the network's nearness to criticality, an ideal computational regime that is known to be a homeostatic set-point. We find that shifts in network criticality 1) track with symptoms, 2) predict underlying anatomical and molecular pathology, 3) occur in a sleep/wake dependent manner, and 4) can be used to reliably classify an animal's genotype. Our data suggest that the critical set-point is intact, but that homeostatic machinery is progressively incapable of stabilizing hippocampal networks, particularly during waking. This work illustrates how neurodegenerative processes can impact the computational capacity of neurobiological systems, and suggest an important connection between molecular pathology, circuit function, and animal behavior.
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Affiliation(s)
- James N McGregor
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Clayton A Farris
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Sahara Ensley
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Aidan Schneider
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Chao Wang
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University in Saint Louis, St. Louis, MO, USA
- Institute for Brain Science and Disease, Chongqing Medical University, 400016, Chongqing, China
| | - Yuqi Liu
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Jianhong Tu
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Halla Elmore
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Keenan D Ronayne
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
| | - Ralf Wessel
- Department of Physics, Washington University in Saint Louis, St. Louis, MO, USA
| | - Eva L Dyer
- Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | | | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University in Saint Louis, St. Louis, MO, USA
| | - Keith B Hengen
- Department of Biology, Washington University in Saint Louis, St. Louis, MO, USA
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29
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Sauers SC, Toedebusch CD, Richardson R, Spira AP, Morris JC, Holtzman DM, Lucey BP. Chronotype is Associated with Sleep Quality in Older Adults. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.04.23294997. [PMID: 37732218 PMCID: PMC10508806 DOI: 10.1101/2023.09.04.23294997] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Introduction Disrupted sleep is common in individuals with Alzheimer's disease (AD) and may be a marker for AD risk. The timing of sleep or chronotype affects sleep-wake activity and is also associated with AD, but little is known about links between sleep and chronotype in older adults. In this study, we tested if different measures of sleep and chronotype are associated among older adults even after adjusting for multiple potentially confounding variables. Methods Participants (N=243) with a mean age of 74 underwent standardized cognitive assessments, measurement of CSF AD biomarkers, and sleep monitoring via single-channel EEG, actigraphy, and self-reported sleep logs. Chronotype was defined as the midpoint of sleep measured by actigraphy. Results Later mid-point of sleep (i.e., late chronotype) was associated with African American race and greater night-to-night variability in the sleep mid-point. After controlling for age, race, sex, cognitive status, AD biomarkers, and sleep disorders, a later mid-point of sleep was associated with longer rapid eye movement (REM) onset latency, decreased REM sleep time, lower sleep efficiency, increased sleep onset latency, and more awakenings at night. Late chronotype was also associated with increased <2 Hz non-REM slow-wave activity. Conclusions To identify individuals at risk for cognitive impairment before symptoms onset, non-invasive in vivo markers of brain function, such as sleep, are needed to track both future risk of cognitive impairment and response to interventions. Chronotype is a potential modifiable AD risk factor and should also be taken into account when using sleep as a marker for AD risk.
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Affiliation(s)
- Scott C. Sauers
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110
| | | | - Rachel Richardson
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110
| | - Adam P. Spira
- Department of Mental Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins School of Medicine, Baltimore, MD 21205
- The Johns Hopkins Center on Aging and Health, Baltimore, MD 21205
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO 63110
| | - David M. Holtzman
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, MO 63110
- Center on Biological Rhythms and Sleep, Washington University School of Medicine, St Louis, MO 63110
| | - Brendan P. Lucey
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63110
- Center on Biological Rhythms and Sleep, Washington University School of Medicine, St Louis, MO 63110
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO 63110
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Wiese LAK, Gibson A, Guest MA, Nelson AR, Weaver R, Gupta A, Carmichael O, Lewis JP, Lindauer A, Loi S, Peterson R, Radford K, Rhodus EK, Wong CG, Zuelsdorff M, Saidi LG, Valdivieso-Mora E, Franzen S, Pope CN, Killian TS, Shrestha HL, Heyn PC, Ng TKS, Prusaczyk B, John S, Kulshreshtha A, Sheffler JL, Besser L, Daniel V, Tolea MI, Miller J, Musyimi C, Corkey J, Yank V, Williams CL, Rahemi Z, Park J, Magzamen S, Newton RL, Harrington C, Flatt JD, Arora S, Walter S, Griffin P, Babulal GM. Global rural health disparities in Alzheimer's disease and related dementias: State of the science. Alzheimers Dement 2023; 19:4204-4225. [PMID: 37218539 PMCID: PMC10524180 DOI: 10.1002/alz.13104] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION Individuals living in rural communities are at heightened risk for Alzheimer's disease and related dementias (ADRD), which parallels other persistent place-based health disparities. Identifying multiple potentially modifiable risk factors specific to rural areas that contribute to ADRD is an essential first step in understanding the complex interplay between various barriers and facilitators. METHODS An interdisciplinary, international group of ADRD researchers convened to address the overarching question of: "What can be done to begin minimizing the rural health disparities that contribute uniquely to ADRD?" In this state of the science appraisal, we explore what is known about the biological, behavioral, sociocultural, and environmental influences on ADRD disparities in rural settings. RESULTS A range of individual, interpersonal, and community factors were identified, including strengths of rural residents in facilitating healthy aging lifestyle interventions. DISCUSSION A location dynamics model and ADRD-focused future directions are offered for guiding rural practitioners, researchers, and policymakers in mitigating rural disparities. HIGHLIGHTS Rural residents face heightened Alzheimer's disease and related dementia (ADRD) risks and burdens due to health disparities. Defining the unique rural barriers and facilitators to cognitive health yields insight. The strengths and resilience of rural residents can mitigate ADRD-related challenges. A novel "location dynamics" model guides assessment of rural-specific ADRD issues.
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Affiliation(s)
- Lisa Ann Kirk Wiese
- C.E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, Florida, USA
| | - Allison Gibson
- University of Kentucky College of Social Work, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - Marc Aaron Guest
- Center for Innovation in Healthy and Resilient Aging, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
| | - Amy R Nelson
- Frederick P. Whiddon College of Medicine, Department of Physiology & Cell Biology, University of South Alabama, Mobile, Alabama, USA
| | - Raven Weaver
- Department of Human Development, Washington State University, Pullman, Washington, USA
| | - Aditi Gupta
- Division of Nephrology and Hypertension, Department of Internal Medicine, Neurology, Alzheimer's Disease Research Center, University of Kansas, Kansas City, Kansas, USA
| | - Owen Carmichael
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Jordan P Lewis
- Memory Keepers Medical Discovery Team, University of Minnesota Medical School, Duluth, Minnesota, USA
| | - Allison Lindauer
- Oregon Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA
| | - Samantha Loi
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, Victoria, Australia
- Department of Psychiatry, University of Melbourne, Parkville, Victoria, Australia
| | - Rachel Peterson
- University of Montana School of Public and Community Health Sciences, Missoula, Montana, USA
| | - Kylie Radford
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Elizabeth K Rhodus
- University of Kentucky College of Social Work, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- University of Kentucky Alzheimer's Disease Research Center, University of Kentucky, Lexington, Kentucky, USA
- University of Kentucky College of Medicine, for Health Equity Transformation, University of Kentucky, Lexington, Kentucky, USA
| | - Christina G Wong
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA
| | - Megan Zuelsdorff
- School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Ladan Ghazi Saidi
- Department of Communication Disorders, Center for Brain Biology and Behavior (CB3), University of Nebraska at Kearney, and Lincoln, Nebraska, USA
| | - Esmeralda Valdivieso-Mora
- Department of Psychology and Public Health, Universidad Centroamericana José Simeón Cañas, El Salvador, El Salvador
| | - Sanne Franzen
- Department of Neurology and Alzheimer Center, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Caitlin N Pope
- Department of Health, Behavior, & Society, University of Kentucky, Lexington, Kentucky, USA
| | - Timothy S Killian
- Human Development and Family Sciences, University of Arkansas, Fayetteville, Arkansas, USA
| | - Hom L Shrestha
- School of Kinesiology and Health Sciences, Laurentian University, Sudbury, Ontario, Canada
| | - Patricia C Heyn
- Center for Optimal Aging, Department of Physical Therapy, Marymount University, Arlington, Virginia, USA
| | - Ted Kheng Siang Ng
- Department of Psychology, Arizona State University, Phoenix, Arizona, USA
| | - Beth Prusaczyk
- Institute for Informatics (I2), Center for Population Health Informatics at I2, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Samantha John
- Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas, Nevada, USA
| | - Ambar Kulshreshtha
- Department of Family and Preventive Medicine, Division of Hospital Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Division of Hospital Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Julia L Sheffler
- Center for Translational Behavioral Science, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Lilah Besser
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Boca Raton, Florida, USA
| | - Valerie Daniel
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Boca Raton, Florida, USA
| | - Magdalena I Tolea
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, Boca Raton, Florida, USA
| | - Justin Miller
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA
| | - Christine Musyimi
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | | | - Veronica Yank
- Department of Medicine, University of California, San Francisco, USA
| | - Christine L Williams
- C.E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, Florida, USA
| | - Zahra Rahemi
- Clemson School of Nursing, Clemson University, Clemson, South Carolina, USA
| | - JuYoung Park
- Sandler School of Social Work, College of Social Work and Criminal Justice, Florida Atlantic University, Boca Raton, Florida, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Robert L Newton
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | | | - Jason D Flatt
- School of Public Health, Department of Social & Behavioral Health, University of Nevada, Las Vegas, USA
| | - Sonakshi Arora
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, Nevada, USA
| | - Sarah Walter
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - Percy Griffin
- Alzheimer's Therapeutic Research Institute, Alzheimer's Clinical Trials Consortium, University of Southern California, San Diego, California, USA
| | - Ganesh M Babulal
- Scientific Engagement, Medical & Scientific Relations, Alzheimer's Association, Chicago, Illinois, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Psychology, University of Johannesburg, Johannesburg, South Africa
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Falgàs N, Walsh CM, Yack L, Simon AJ, Allen IE, Kramer JH, Rosen HJ, Joie RL, Rabinovici G, Miller B, Spina S, Seeley WW, Ranasinghe K, Vossel K, Neylan TC, Grinberg LT. Alzheimer's disease phenotypes show different sleep architecture. Alzheimers Dement 2023; 19:3272-3282. [PMID: 36749893 PMCID: PMC10404632 DOI: 10.1002/alz.12963] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/16/2022] [Accepted: 12/22/2022] [Indexed: 02/09/2023]
Abstract
INTRODUCTION Sleep-wake disturbances are a prominent feature of Alzheimer's disease (AD). Atypical (non-amnestic) AD syndromes have different patterns of cortical vulnerability to AD. We hypothesized that atypical AD also shows differential vulnerability in subcortical nuclei that will manifest as different patterns of sleep dysfunction. METHODS Overnight electroencephalography monitoring was performed on 48 subjects, including 15 amnestic, 19 atypical AD, and 14 controls. AD was defined based on neuropathological or biomarker confirmation. We compared sleep architecture by visual scoring and spectral power analysis in each group. RESULTS Overall, AD cases showed increased sleep fragmentation and N1 sleep compared to controls. Compared to atypical AD groups, typical AD showed worse N3 sleep dysfunction and relatively preserved rapid eye movement (REM) sleep. DISCUSSION Results suggest differing effects of amnestic and atypical AD variants on slow wave versus REM sleep, respectively, corroborating the hypothesis of differential selective vulnerability patterns of the subcortical nuclei within variants. Optimal symptomatic treatment for sleep dysfunction in clinical phenotypes may differ. HIGHLIGHTS Alzheimer's disease (AD) variants show distinct patterns of sleep impairment. Amnestic/typical AD has worse N3 slow wave sleep (SWS) impairment compared to atypical AD. Atypical AD shows more rapid eye movement deficits than typical AD. Selective vulnerability patterns in subcortical areas may underlie sleep differences. Relatively preserved SWS may explain better memory scores in atypical versus typical AD.
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Affiliation(s)
- Neus Falgàs
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Global Brain Health Institute, University of California, San Francisco, California, USA
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Christine M Walsh
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Leslie Yack
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Alexander J Simon
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Isabel E Allen
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Global Brain Health Institute, University of California, San Francisco, California, USA
| | - Joel H Kramer
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Department of Psychiatry, University of California, San Francisco, California, USA
| | - Howard J Rosen
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Global Brain Health Institute, University of California, San Francisco, California, USA
| | - Renaud La Joie
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Gil Rabinovici
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Bruce Miller
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Global Brain Health Institute, University of California, San Francisco, California, USA
| | - Salvatore Spina
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Global Brain Health Institute, University of California, San Francisco, California, USA
| | - William W Seeley
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Kamalini Ranasinghe
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
| | - Keith Vossel
- Mary S. Easton Center for Alzheimer's Disease Research, University of California Los Angeles, Los Angeles, California, USA
| | - Thomas C Neylan
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Department of Psychiatry, University of California, San Francisco, California, USA
| | - Lea T Grinberg
- Department of Neurology, Memory & Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA
- Global Brain Health Institute, University of California, San Francisco, California, USA
- Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil
- Department of Pathology, University of California, San Francisco, California, USA
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Berry AS, Harrison TM. New perspectives on the basal forebrain cholinergic system in Alzheimer's disease. Neurosci Biobehav Rev 2023; 150:105192. [PMID: 37086935 PMCID: PMC10249144 DOI: 10.1016/j.neubiorev.2023.105192] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/27/2023] [Accepted: 03/28/2023] [Indexed: 04/24/2023]
Abstract
The basal forebrain cholinergic system (BFCS) has long been implicated in age-related cognitive changes and the pathophysiology of Alzheimer's disease (AD). Limitations of cholinergic interventions helped to inspire a shift away from BFCS in AD research. A resurgence in interest in the BFCS following methodological and analytical advances has resulted in a call for the BFCS to be examined in novel frameworks. We outline the basic structure and function of the BFCS, its role in supporting cognitive and affective function, and its vulnerability to aging and AD. We consider the BFCS in the context of the amyloid hypothesis and evolving concepts in AD research: resilience and resistance to pathology, selective neuronal vulnerability, trans-synaptic pathology spread and sleep health. We highlight 1) the potential role of the BFCS in cognitive resilience, 2) recent work refining understanding about the selective vulnerability of BFCS to AD, 3) BFCS connectivity that suggests it is related to tau spreading and neurodegeneration and 4) the gap between BFCS involvement in AD and sleep-wake cycles.
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Affiliation(s)
| | - Theresa M Harrison
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA 94720, USA
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Liu X, Wang G, Cao Y. The effectiveness of exercise on global cognitive function, balance, depression symptoms, and sleep quality in patients with mild cognitive impairment: A systematic review and meta-analysis. Geriatr Nurs 2023; 51:182-193. [PMID: 37011490 DOI: 10.1016/j.gerinurse.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 04/04/2023]
Abstract
This review aimed to examine the effectiveness of exercise on global cognitive function, balance, depression symptoms, and sleep quality in patients with mild cognitive impairment. And systematically retrieved five electronic databases, including the Cochrane library, PubMed, Embase, Web of Science, and PsycINFO, from inception to May 2022. Of 1102 studies, twenty-one studies were included in this meta-analysis. The polled results revealed that exercise could significantly improve global cognitive function (SMD = 0.64, 95%CI: 0.36 to 0.91, Z = 4.56, P < 0.00001), balance (SMD = 0.62, 95%CI: 0.30 to 0.95, Z = 4.56, P = 0.0001) and depression symptoms (SMD = -0.37, 95%CI: -0.64 to -0.10, Z = 2.70, P = 0.007). The exercise was a promising intervention with the potential to be applied in people with mild cognitive impairment.
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Hirsch S, Gaultney J. Sleep disturbances in individuals with down syndrome: An overview. JOURNAL OF INTELLECTUAL DISABILITIES : JOID 2023:17446295231173011. [PMID: 37105757 DOI: 10.1177/17446295231173011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Down Syndrome, or Trisomy 21, is one of the most common birth defects, with 6,000 babies born annually with Down Syndrome in the U.S. One of many health risk factors individuals with Down Syndrome experience is sleep issues, ranging from poor sleep quality to high prevalence of obstructive sleep apnea. This literature review aims to review these sleep challenges in this population and explore consequences and treatment options.
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Affiliation(s)
- Sophie Hirsch
- Department of Psychological Science and Health Psychology PhD Program, University of North Carolina at Charlotte, USA
| | - Jane Gaultney
- Department of Psychological Science and Health Psychology PhD Program, University of North Carolina at Charlotte, USA
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35
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Caldwell JZ, Isenberg N. The aging brain: risk factors and interventions for long term brain health in women. Curr Opin Obstet Gynecol 2023; 35:169-175. [PMID: 36912325 PMCID: PMC10023345 DOI: 10.1097/gco.0000000000000849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
PURPOSE OF REVIEW Poor cognitive aging and dementia pose a significant public health burden, and women face unique risks compared to men. Recent research highlights the role of genetics, menopause, chronic disease, and lifestyle in risk and resilience in women's cognitive aging. This work suggests avenues for clinical action at midlife that may change the course of brain health in aging. RECENT FINDINGS Studies indicate women's risk for poor cognitive aging relates in part to hormone changes at menopause, a time when memory, brain structure and function, and Alzheimer's pathology may be observed in women and not men. Medical and lifestyle risks including diabetes, hypertension, and low physical activity also contribute to women's unique risks. At the same time, literature on resilience suggests women may benefit from lifestyle and chronic disease intervention, possibly more than men. Current studies emphasize the importance of interacting genetic and lifestyle risks, and effects of social determinants of health. SUMMARY Women have greater risk than men for poor cognitive aging; however, by treating the whole person, including genetics, lifestyle, and social environment, clinicians have an opportunity to support healthy cognitive aging in women and reduce the future public health burden of dementia.
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Affiliation(s)
- Jessica Z.K. Caldwell
- Cleveland Clinic Lou Ruvo Center for Brain Health, 888 W. Bonneville Ave., Las Vegas, NV 89106
| | - Nancy Isenberg
- Providence Swedish Center for Healthy Aging, Swedish Neuroscience Institute, 1600 E. Jefferson St. A Level, Seattle, WA 98122
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Koronyo Y, Rentsendorj A, Mirzaei N, Regis GC, Sheyn J, Shi H, Barron E, Cook-Wiens G, Rodriguez AR, Medeiros R, Paulo JA, Gupta VB, Kramerov AA, Ljubimov AV, Van Eyk JE, Graham SL, Gupta VK, Ringman JM, Hinton DR, Miller CA, Black KL, Cattaneo A, Meli G, Mirzaei M, Fuchs DT, Koronyo-Hamaoui M. Retinal pathological features and proteome signatures of Alzheimer's disease. Acta Neuropathol 2023; 145:409-438. [PMID: 36773106 PMCID: PMC10020290 DOI: 10.1007/s00401-023-02548-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 02/12/2023]
Abstract
Alzheimer's disease (AD) pathologies were discovered in the accessible neurosensory retina. However, their exact nature and topographical distribution, particularly in the early stages of functional impairment, and how they relate to disease progression in the brain remain largely unknown. To better understand the pathological features of AD in the retina, we conducted an extensive histopathological and biochemical investigation of postmortem retina and brain tissues from 86 human donors. Quantitative examination of superior and inferior temporal retinas from mild cognitive impairment (MCI) and AD patients compared to those with normal cognition (NC) revealed significant increases in amyloid β-protein (Aβ42) forms and novel intraneuronal Aβ oligomers (AβOi), which were closely associated with exacerbated retinal macrogliosis, microgliosis, and tissue atrophy. These pathologies were unevenly distributed across retinal layers and geometrical areas, with the inner layers and peripheral subregions exhibiting most pronounced accumulations in the MCI and AD versus NC retinas. While microgliosis was increased in the retina of these patients, the proportion of microglial cells engaging in Aβ uptake was reduced. Female AD patients exhibited higher levels of retinal microgliosis than males. Notably, retinal Aβ42, S100 calcium-binding protein B+ macrogliosis, and atrophy correlated with severity of brain Aβ pathology, tauopathy, and atrophy, and most retinal pathologies reflected Braak staging. All retinal biomarkers correlated with the cognitive scores, with retinal Aβ42, far-peripheral AβOi and microgliosis displaying the strongest correlations. Proteomic analysis of AD retinas revealed activation of specific inflammatory and neurodegenerative processes and inhibition of oxidative phosphorylation/mitochondrial, and photoreceptor-related pathways. This study identifies and maps retinopathy in MCI and AD patients, demonstrating the quantitative relationship with brain pathology and cognition, and may lead to reliable retinal biomarkers for noninvasive retinal screening and monitoring of AD.
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Affiliation(s)
- Yosef Koronyo
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Altan Rentsendorj
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Nazanin Mirzaei
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Giovanna C Regis
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Julia Sheyn
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Haoshen Shi
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Ernesto Barron
- Doheny Eye Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Galen Cook-Wiens
- Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Anthony R Rodriguez
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rodrigo Medeiros
- Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, Boston, USA
| | - Veer B Gupta
- School of Medicine, Deakin University, Victoria, Australia
| | - Andrei A Kramerov
- Department of Biomedical Sciences and Eye Program, Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alexander V Ljubimov
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
- Department of Biomedical Sciences and Eye Program, Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Departments of Neurology and Biomedical Sciences, Division of Applied Cell Biology and Physiology, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, USA
| | - Jennifer E Van Eyk
- Departments of Neurology and Biomedical Sciences, Division of Applied Cell Biology and Physiology, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, USA
- Barbra Streisand Women's Heart Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Stuart L Graham
- Save Sight Institute, University of Sydney, Sydney, NSW, Australia
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Vivek K Gupta
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - John M Ringman
- Department of Neurology, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - David R Hinton
- Departments of Pathology and Ophthalmology, Keck School of Medicine, USC Roski Eye Institute, University of Southern California, Los Angeles, CA, USA
| | - Carol A Miller
- Department of Pathology Program in Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Keith L Black
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Antonino Cattaneo
- European Brain Research Institute (EBRI), Viale Regina Elena, Rome, Italy
| | - Giovanni Meli
- European Brain Research Institute (EBRI), Viale Regina Elena, Rome, Italy
| | - Mehdi Mirzaei
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Dieu-Trang Fuchs
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA
| | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Maxine Dunitz Neurosurgical Research Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, 90048, USA.
- Departments of Neurology and Biomedical Sciences, Division of Applied Cell Biology and Physiology, Cedars-Sinai Medical Center, 127 S. San Vicente Blvd., Los Angeles, CA, USA.
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Hsieh CJ, Chiou JM, Chen TF, Chen YC, Chen JH. Association of subclinical depressive symptoms and sleep with cognition in the community-dwelling older adults. J Formos Med Assoc 2023:S0929-6646(23)00072-4. [PMID: 36964100 DOI: 10.1016/j.jfma.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 02/11/2023] [Accepted: 03/07/2023] [Indexed: 03/26/2023] Open
Abstract
BACKGROUND /Purpose: This study aimed to explore the association of subclinical depressive symptoms and sleep with cognition in community-dwelling Taiwanese older adults. METHODS This four-year prospective cohort study (2015-2019) included 379 participants aged 65 years or older from the annual senior health checkup program at National Taiwan University Hospital who were followed up two years later. Global and domain cognitive functions were assessed using validated neuropsychological tests. Depressive symptoms were evaluated using the Center for Epidemiologic Studies Depression (CES-D) Scale. Sleep quality was evaluated using the Pittsburg Sleep Quality Index (PSQI). Excessive daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS). Generalized linear mixed models were used to explore the associations of subclinical depressive symptoms and sleep variables with cognition, adjusting for important covariates. Stratification analyses were performed using the sleep variables. RESULTS Over time, depressive symptoms were associated with poor performance of memory (βˆ = 0.24, P = 0.04) and executive function (βˆ = -0.24, P = 0.03). Poor sleep quality (elevated PSQI score) was associated with poor memory performance (βˆ = -0.04 to -0.03, P < 0.05). Excessive daytime sleepiness (elevated ESS score) was associated with poor performance of memory (βˆ = -0.02, P < 0.05) and executive function (βˆ = -0.02, P = 0.001). At baseline, better sleep quality and no excessive daytime sleepiness were associated with better memory performance over time. CONCLUSION Subclinical depressive symptoms, worse sleep quality, and excessive daytime sleepiness were differentially associated with impairment of cognitive domains (mainly memory and executive function).
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Affiliation(s)
- Ching-Jow Hsieh
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan, Taiwan
| | - Jeng-Min Chiou
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Ta-Fu Chen
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Yen-Ching Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan.
| | - Jen-Hau Chen
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan; Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
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Abstract
The restorative function of sleep is shaped by its duration, timing, continuity, subjective quality, and efficiency. Current sleep recommendations specify only nocturnal duration and have been largely derived from sleep self-reports that can be imprecise and miss relevant details. Sleep duration, preferred timing, and ability to withstand sleep deprivation are heritable traits whose expression may change with age and affect the optimal sleep prescription for an individual. Prevailing societal norms and circumstances related to work and relationships interact to influence sleep opportunity and quality. The value of allocating time for sleep is revealed by the impact of its restriction on behavior, functional brain imaging, sleep macrostructure, and late-life cognition. Augmentation of sleep slow oscillations and spindles have been proposed for enhancing sleep quality, but they inconsistently achieve their goal. Crafting bespoke sleep recommendations could benefit from large-scale, longitudinal collection of objective sleep data integrated with behavioral and self-reported data.
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Affiliation(s)
- Ruth L F Leong
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; ,
| | - Michael W L Chee
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; ,
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Gagliano L, Ding TY, Toffa DH, Beauregard L, Robert M, Lesage F, Sawan M, Nguyen DK, Bou Assi E. Decrease in wearable-based nocturnal sleep efficiency precedes epileptic seizures. Front Neurol 2023; 13:1089094. [PMID: 36712456 PMCID: PMC9875007 DOI: 10.3389/fneur.2022.1089094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 12/19/2022] [Indexed: 01/12/2023] Open
Abstract
Introduction While it is known that poor sleep is a seizure precipitant, this association remains poorly quantified. This study investigated whether seizures are preceded by significant changes in sleep efficiency as measured by a wearable equipped with an electrocardiogram, respiratory bands, and an accelerometer. Methods Nocturnal recordings from 47 people with epilepsy hospitalized at our epilepsy monitoring unit were analyzed (304 nights). Sleep metrics during nights followed by epileptic seizures (24 h post-awakening) were compared to those of nights which were not. Results Lower sleep efficiency (percentage of sleep during the night) was found in the nights preceding seizure days (p < 0.05). Each standard deviation decrease in sleep efficiency and increase in wake after sleep onset was respectively associated with a 1.25-fold (95 % CI: 1.05 to 1.42, p < 0.05) and 1.49-fold (95 % CI: 1.17 to 1.92, p < 0.01) increased odds of seizure occurrence the following day. Furthermore, nocturnal seizures were associated with significantly lower sleep efficiency and higher wake after sleep onset (p < 0.05), as well as increased odds of seizure occurrence following wake (OR: 5.86, 95 % CI: 2.99 to 11.77, p < 0.001). Discussion Findings indicate lower sleep efficiency during nights preceding seizures, suggesting that wearable sensors could be promising tools for sleep-based seizure-day forecasting in people with epilepsy.
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Affiliation(s)
- Laura Gagliano
- Institute of Biomedical Engineering and the Department of Electrical Engineering, Polytechnique Montréal, Montreal, QC, Canada,Centre de Recherche du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montreal, QC, Canada,*Correspondence: Laura Gagliano ✉
| | - Tian Yue Ding
- Centre de Recherche du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montreal, QC, Canada
| | - Denahin H. Toffa
- Centre de Recherche du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montreal, QC, Canada
| | - Laurence Beauregard
- Centre de Recherche du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montreal, QC, Canada
| | - Manon Robert
- Centre de Recherche du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montreal, QC, Canada
| | - Frédéric Lesage
- Institute of Biomedical Engineering and the Department of Electrical Engineering, Polytechnique Montréal, Montreal, QC, Canada
| | - Mohamad Sawan
- Institute of Biomedical Engineering and the Department of Electrical Engineering, Polytechnique Montréal, Montreal, QC, Canada,CenBRAIN, Westlake University, Hangzhou, China
| | - Dang K. Nguyen
- Centre de Recherche du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montreal, QC, Canada,Department of Neuroscience, Université de Montréal, Montreal, QC, Canada
| | - Elie Bou Assi
- Centre de Recherche du Centre Hospitalier de L'Université de Montréal (CRCHUM), Montreal, QC, Canada,Department of Neuroscience, Université de Montréal, Montreal, QC, Canada
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Lafrenière A, Lina JM, Hernandez J, Bouchard M, Gosselin N, Carrier J. Sleep slow waves' negative-to-positive-phase transition: a marker of cognitive and apneic status in aging. Sleep 2023; 46:zsac246. [PMID: 36219687 PMCID: PMC9832517 DOI: 10.1093/sleep/zsac246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/12/2022] [Indexed: 11/07/2022] Open
Abstract
The sleep slow-wave (SW) transition between negative and positive phases is thought to mirror synaptic strength and likely depends on brain health. This transition shows significant age-related changes but has not been investigated in pathological aging. The present study aimed at comparing the transition speed and other characteristics of SW between older adults with amnestic mild cognitive impairment (aMCI) and cognitively normal (CN) controls with and without obstructive sleep apnea (OSA). We also examined the association of SW characteristics with the longitudinal changes of episodic memory and executive functions and the degree of subjective cognitive complaints. aMCI (no/mild OSA = 17; OSA = 15) and CN (no/mild OSA = 20; OSA = 17) participants underwent a night of polysomnography and a neuropsychological evaluation at baseline and 18 months later. Participants with aMCI had a significantly slower SW negative-to-positive-phase transition speed and a higher proportion of SW that are "slow-switchers" than CN participants. These SW measures in the frontal region were significantly correlated with memory decline and cognitive complaints in aMCI and cognitive improvements in CN participants. The transition speed of the SW that are "fast-switchers" was significantly slower in OSA compared to no or mild obstructive sleep apnea participants. The SW transition-related metrics showed opposite correlations with the longitudinal episodic memory changes depending on the participants' cognitive status. These relationships were particularly strong in participants with aMCI. As the changes of the SW transition-related metrics in pathological aging might reflect synaptic alterations, future studies should investigate whether these new metrics covary with biomarker levels of synaptic integrity in this population.
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Affiliation(s)
- Alexandre Lafrenière
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Île-de-Montréal, Montreal, Canada
- Department of Psychology, Université de Montréal, Montreal, Canada
| | - Jean-Marc Lina
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Île-de-Montréal, Montreal, Canada
- Department of Electrical Engineering, École de Technologie Supérieure, Montreal, Canada
- Centre de Recherches Mathématiques, Université de Montréal, Montreal, Canada
| | - Jimmy Hernandez
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Île-de-Montréal, Montreal, Canada
- Department of Neurosciences, Université de Montréal, Montreal, Canada
| | - Maude Bouchard
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Île-de-Montréal, Montreal, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Île-de-Montréal, Montreal, Canada
- Department of Psychology, Université de Montréal, Montreal, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Île-de-Montréal, Montreal, Canada
- Department of Psychology, Université de Montréal, Montreal, Canada
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Lane JM, Qian J, Mignot E, Redline S, Scheer FAJL, Saxena R. Genetics of circadian rhythms and sleep in human health and disease. Nat Rev Genet 2023; 24:4-20. [PMID: 36028773 PMCID: PMC10947799 DOI: 10.1038/s41576-022-00519-z] [Citation(s) in RCA: 50] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 12/13/2022]
Abstract
Circadian rhythms and sleep are fundamental biological processes integral to human health. Their disruption is associated with detrimental physiological consequences, including cognitive, metabolic, cardiovascular and immunological dysfunctions. Yet many of the molecular underpinnings of sleep regulation in health and disease have remained elusive. Given the moderate heritability of circadian and sleep traits, genetics offers an opportunity that complements insights from model organism studies to advance our fundamental molecular understanding of human circadian and sleep physiology and linked chronic disease biology. Here, we review recent discoveries of the genetics of circadian and sleep physiology and disorders with a focus on those that reveal causal contributions to complex diseases.
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Affiliation(s)
- Jacqueline M Lane
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jingyi Qian
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Emmanuel Mignot
- Center for Narcolepsy, Stanford University, Palo Alto, California, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Richa Saxena
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
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Fauria K, Minguillon C, Knezevic I, Tort-Colet N, Stankeviciute L, Hernández L, Rădoi A, Deulofeu C, Fuentes-Julián S, Turull I, Fusté D, Sánchez-Benavides G, Arenaza-Urquijo EM, Suárez-Calvet M, Holst SC, Garcés P, Mueggler T, Zetterberg H, Blennow K, Arqueros A, Iranzo Á, Domingo Gispert J, Molinuevo JL, Grau-Rivera O. Exploring cognitive and biological correlates of sleep quality and their potential links with Alzheimer's disease (ALFASleep project): protocol for an observational study. BMJ Open 2022; 12:e067159. [PMID: 36585141 PMCID: PMC9809234 DOI: 10.1136/bmjopen-2022-067159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION The growing worldwide prevalence of Alzheimer's disease (AD) and the lack of effective treatments pose a dire medical challenge. Sleep disruption is also prevalent in the ageing population and is increasingly recognised as a risk factor and an early sign of AD. The ALFASleep project aims to characterise sleep with subjective and objective measurements in cognitively unimpaired middle/late middle-aged adults at increased risk of AD who are phenotyped with fluid and neuroimaging AD biomarkers. This will contribute to a better understanding of the pathophysiological mechanisms linking sleep with AD, thereby paving the way for the development of non-invasive biomarkers and preventive strategies targeting sleep. METHODS AND ANALYSIS We will invite 200 participants enrolled in the ALFA+ (for ALzheimer and FAmilies) prospective observational study to join the ALFASleep study. ALFA+ participants are cognitively unimpaired middle-aged/late middle-aged adults who are followed up every 3 years with a comprehensive set of evaluations including neuropsychological tests, blood and cerebrospinal fluid (CSF) sampling, and MRI and positron emission tomography acquisition. ALFASleep participants will be additionally characterised with actigraphy and CSF-orexin-A measurements, and a subset (n=90) will undergo overnight polysomnography. We will test associations of sleep measurements and CSF-orexin-A with fluid biomarkers of AD and glial activation, neuroimaging outcomes and cognitive performance. In case we found any associations, we will test whether changes in AD and/or glial activation markers mediate the association between sleep and neuroimaging or cognitive outcomes and whether sleep mediates associations between CSF-orexin-A and AD biomarkers. ETHICS AND DISSEMINATION The ALFASleep study protocol has been approved by the independent Ethics Committee Parc de Salut Mar, Barcelona (2018/8207/I). All participants have signed a written informed consent before their inclusion (approved by the same ethics committee). Study findings will be presented at national and international conferences and submitted for publication in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04932473.
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Affiliation(s)
- Karine Fauria
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Iva Knezevic
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
| | | | | | | | - Andreea Rădoi
- Barcelonaβeta Brain Research Center, Barcelona, Spain
| | | | | | - Israel Turull
- Barcelonaβeta Brain Research Center, Barcelona, Spain
| | - David Fusté
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Pasqual Maragall Foundation, Barcelona, Spain
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Eider M Arenaza-Urquijo
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Servei de Neurologia, Hospital del Mar, Barcelona, Spain
| | | | | | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, People's Republic of China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Aurora Arqueros
- Neurology Service, Hospital Clínic de Barcelona and Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Álex Iranzo
- Neurology Service, Hospital Clínic de Barcelona and Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Instituto de Salud Carlos III, Madrid, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Servei de Neurologia, Hospital del Mar, Barcelona, Spain
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Coutrot A, Lazar AS, Richards M, Manley E, Wiener JM, Dalton RC, Hornberger M, Spiers HJ. Reported sleep duration reveals segmentation of the adult life-course into three phases. Nat Commun 2022; 13:7697. [PMID: 36509747 PMCID: PMC9744828 DOI: 10.1038/s41467-022-34624-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 11/01/2022] [Indexed: 12/15/2022] Open
Abstract
Classically the human life-course is characterized by youth, middle age and old age. A wide range of biological, health and cognitive functions vary across this life-course. Here, using reported sleep duration from 730,187 participants across 63 countries, we find three distinct phases in the adult human life-course: early adulthood (19-33yrs), mid-adulthood (34-53yrs), and late adulthood (54+yrs). They appear stable across culture, gender, education and other demographics. During the third phase, where self-reported sleep duration increases with age, cognitive performance, as measured by spatial navigation, was found to have an inverted u-shape relationship with reported sleep duration: optimal performance peaks at 7 hours reported sleep. World-wide self-reported sleep duration patterns are geographically clustered, and are associated with economy, culture, and latitude.
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Affiliation(s)
- A Coutrot
- LIRIS-CNRS-University of Lyon, Lyon, France.
| | - A S Lazar
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - M Richards
- Unit for Lifelong Health and Ageing, University College London, London, UK
| | - E Manley
- School of Geography, University of Leeds, Leeds, UK
| | - J M Wiener
- Department of Psychology, Bournemouth University, Poole, UK
| | - R C Dalton
- School of Architecture, Lancaster University, Lancaster, UK
| | - M Hornberger
- Norwich Medical School, University of East Anglia, Norwich, UK.
| | - H J Spiers
- Institute of Behavioural Neuroscience, University College London, London, UK.
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Geng R, Zhang Y, Liu M, Deng S, Ding J, Zhong H, Tu Q. Elevated serum uric acid is associated with cognitive improvement in older American adults: A large, population-based-analysis of the NHANES database. Front Aging Neurosci 2022; 14:1024415. [PMID: 36570535 PMCID: PMC9772611 DOI: 10.3389/fnagi.2022.1024415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 11/15/2022] [Indexed: 12/14/2022] Open
Abstract
Background The many studies revealing a connection between serum uric acid (SUA) and dementia have reported conflicting results. This study sought to investigate the relations between SUA and cognitive function in older adults. Materials and methods The sample was 2,767 American adults aged ≥60 years from the National Health and Nutrition Examination Survey 2011-2014. Cognitive performance was evaluated by the Consortium to Establish a Registry for Alzheimer's Disease test, animal fluency test, digit symbol substitution test, and composite z-score. Multivariate linear regression analyses were conducted to estimate the association between SUA and cognitive function. Results SUA level and cognitive function were significantly, positively correlated. Age significantly correlated with the association between SUA and cognitive function. Conclusion These findings support a connection between SUA and cognition, showing a positive link between SUA and cognitive scores among older American adults. We contend that a slight rise in uric acid within the normal range is advantageous for enhanced cognition. To confirm the precise dose-time-response relation, more tests will be needed.
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45
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Zhang W, Chen Y, Chen N. Body mass index and trajectories of the cognition among Chinese middle and old-aged adults. BMC Geriatr 2022; 22:613. [PMID: 35870889 PMCID: PMC9308927 DOI: 10.1186/s12877-022-03301-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/14/2022] [Indexed: 11/10/2022] Open
Abstract
AbstractThis study aims to investigate the association between trajectories of the cognition and body mass index (BMI) among Chinese middle and old-aged adults. A total of 5693 adults (age 45 +) whose cognitive score is higher than average at the baseline were included from China Health and Retirement Longitudinal Study (CHARLS:2011–2015). Cognitive function was measured by Mini-mental state examination (MMSE) in Chinese version. The Group-based trajectory modeling (GBTM) was adopted to identify the potential heterogeneity of longitudinal changes over the past 5 years and to investigate the relationship between baseline BMI and trajectories of cognitive function. Three trajectories were identified in results: the slow decline (37.92%), the rapid decline (6.71%) and the stable function (55.37%). After controlling for other variables, underweight (BMI < 18.5 kg/m2) was associated with the rapid and slow decline trajectories. Obesity (BMI > 28 kg/m2) was associated with the slow decline trajectory. High-risk people of cognitive decline can be screened by measuring BMI.
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Wing D, Eyler LT, Lenze EJ, Wetherell JL, Nichols JF, Meeusen R, Godino JG, Shimony JS, Snyder AZ, Nishino T, Nicol GE, Nagels G, Roelands B. Fatness, fitness and the aging brain: A cross sectional study of the associations between a physiological estimate of brain age and physical fitness, activity, sleep, and body composition. NEUROIMAGE. REPORTS 2022; 2:100146. [PMID: 36743444 PMCID: PMC9894084 DOI: 10.1016/j.ynirp.2022.100146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Introduction Changes in brain structure and function occur with aging. However, there is substantial heterogeneity both in terms of when these changes begin, and the rate at which they progress. Understanding the mechanisms and/or behaviors underlying this heterogeneity may allow us to act to target and slow negative changes associated with aging. Methods Using T1 weighted MRI images, we applied a novel algorithm to determine the physiological age of the brain (brain-predicted age) and the predicted age difference between this physiologically based estimate and chronological age (BrainPAD) to 551 sedentary adults aged 65 to 84 with self-reported cognitive complaint measured at baseline as part of a larger study. We also assessed maximal aerobic capacity with a graded exercise test, physical activity and sleep with accelerometers, and body composition with dual energy x-ray absorptiometry. Associations were explored both linearly and logistically using categorical groupings. Results Visceral Adipose Tissue (VAT), Total Sleep Time (TST) and maximal aerobic capacity all showed significant associations with BrainPAD. Greater VAT was associated with higher (i.e,. older than chronological) BrainPAD (r = 0.149 p = 0.001)Greater TST was associated with higher BrainPAD (r = 0.087 p = 0.042) and greater aerobic capacity was associated with lower BrainPAD (r = - 0.088 p = 0.040). With linear regression, both VAT and TST remained significant (p = 0.036 and 0.008 respectively). Each kg of VAT predicted a 0.741 year increase in BrainPAD, and each hour of increased TST predicted a 0.735 year increase in BrainPAD. Maximal aerobic capacity did not retain statistical significance in fully adjusted linear models. Discussion Accumulation of visceral adipose tissue and greater total sleep time, but not aerobic capacity, total daily physical activity, or sleep quantity and/or quality are associated with brains that are physiologically older than would be expected based upon chronological age alone (BrainPAD).
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Affiliation(s)
- David Wing
- Herbert Wertheim School of Public Health and Human Longevity, University of California, San Diego, United States
- Exercise and Physical Activity Resource Center (EPARC), University of California, San Diego, United States
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, United States
- San Diego Veterans Administration Health Care System, San Diego, United States
| | - Eric J. Lenze
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Julie Loebach Wetherell
- Mental Health Service, VA San Diego Healthcare System, United States
- Department of Psychiatry, University of California, San Diego, United States
| | - Jeanne F. Nichols
- Herbert Wertheim School of Public Health and Human Longevity, University of California, San Diego, United States
- Exercise and Physical Activity Resource Center (EPARC), University of California, San Diego, United States
| | - Romain Meeusen
- Human Physiology & Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Job G. Godino
- Herbert Wertheim School of Public Health and Human Longevity, University of California, San Diego, United States
- Exercise and Physical Activity Resource Center (EPARC), University of California, San Diego, United States
| | - Joshua S. Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Abraham Z. Snyder
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States
| | - Tomoyuki Nishino
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Ginger E. Nicol
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Guy Nagels
- Department of Neurology, UZ Brussel, Brussels, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Bart Roelands
- Human Physiology & Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
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Naismith SL, Leng Y, Palmer JR, Lucey BP. Age differences in the association between sleep and Alzheimer's disease biomarkers in the EPAD cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12380. [PMID: 36447477 PMCID: PMC9695753 DOI: 10.1002/dad2.12380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 10/19/2022] [Accepted: 10/21/2022] [Indexed: 11/26/2022]
Abstract
Introduction We aimed to determine the independent association between sleep quality and Alzheimer's disease (AD) biomarkers, and whether the associations differ with age. Methods We included 1240 individuals aged ≥50, without dementia from the European Prevention of Alzheimer's Disease v1500.0 dataset. Linear regression was used to examine Pittsburgh Sleep Quality Index (PSQI) scores against cerebrospinal fluid (CSF) phosphorylated tau/β-amyloid ratio (p-tau/Aβ42) for the entire sample and via age tertiles. Models controlled for demographic, clinical, genetic, vascular, and neuroimaging variables. Results For the youngest age tertile, shorter sleep duration and higher sleep efficiency were associated with greater p-tau/Aβ42 ratio. For the oldest tertile, longer sleep latency was associated with greater p-tau/Aβ42. Discussion Differential relationships between sleep and AD pathology depend on age. Short sleep duration and sleep efficiency are relevant in middle age whereas time taken to fall asleep is more closely linked to AD biomarkers in later life. Highlights This study shows age differences in the link between sleep and AD biomarkers.Shorter sleep was associated with greater p-tau/Aβ42 ratio in middle age.The association was independent of genetic, vascular, and neuroimaging markers of AD.
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Affiliation(s)
- Sharon L. Naismith
- School of PsychologyFaculty of ScienceThe University of SydneySydneyNew South WalesAustralia
- CogSleep NHMRC Centre of Research ExcellenceThe University of SydneySydneyNew South WalesAustralia
- Brain and Mind Centre and Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Yue Leng
- Department of Psychiatry and Behavioural SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Jake R. Palmer
- School of PsychologyFaculty of ScienceThe University of SydneySydneyNew South WalesAustralia
- CogSleep NHMRC Centre of Research ExcellenceThe University of SydneySydneyNew South WalesAustralia
- Brain and Mind Centre and Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Brendan P. Lucey
- Department of NeurologyWashington University School of MedicineSt LouisMissouriUSA
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Abstract
OBJECTIVE To examine sex-specific associations of sleep duration and napping self-reported at mean age of 69 years (range: 53-81) with risk of incident dementia 24 years later at age 90 +. METHOD Analytic sample included individuals from a population-based study who reported sleep and napping once in the 1980s and 24 years later (range: 16-38) joined The 90+ Study and were evaluated in-person. Those without dementia at baseline of The 90+ Study were prospectively followed. Hazard ratios [HR] and 95% confidence intervals [CI] of dementia risk were estimated by Cox regression. RESULTS Of 574 participants 71% were women, mean age at start of dementia follow-up with The 90+ Study was 93 years (range: 90-102). After 3.3 years (range: 0.4-13.8) of follow-up 47% developed dementia. Higher risk of dementia at age 90+ was seen in women with <6 hours of self-reported sleep per night (adjusted HR = 2.00; 95% CI = 1.15-3.50; p = .01) compared with 8 hours. Lower risk of dementia at 90+ was seen in men with short-to-moderate (<60 minutes) self-reported naps compared with no naps (HR = 0.33; 95% CI = 0.18-0.63; p < .01). CONCLUSIONS Sleep and nap 24 years earlier are important risk factors for dementia after age 90.
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Martineau-Dussault MÈ, André C, Daneault V, Baril AA, Gagnon K, Blais H, Petit D, Montplaisir JY, Lorrain D, Bastien C, Hudon C, Descoteaux M, Boré A, Theaud G, Thompson C, Legault J, Martinez Villar GE, Lafrenière A, Lafond C, Gilbert D, Carrier J, Gosselin N. Medial temporal lobe and obstructive sleep apnea: Effect of sex, age, cognitive status and free-water. Neuroimage Clin 2022; 36:103235. [PMID: 36272339 PMCID: PMC9668668 DOI: 10.1016/j.nicl.2022.103235] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/23/2022] [Accepted: 10/15/2022] [Indexed: 11/06/2022]
Abstract
Medial temporal structures, namely the hippocampus, the entorhinal cortex and the parahippocampal gyrus, are particularly vulnerable to Alzheimer's disease and hypoxemia. Here, we tested the associations between obstructive sleep apnea (OSA) severity and medial temporal lobe volumes in 114 participants aged 55-86 years (35 % women). We also investigated the impact of sex, age, cognitive status, and free-water fraction correction on these associations. Increased OSA severity was associated with larger hippocampal and entorhinal cortex volumes in women, but not in men. Greater OSA severity also correlated with increased hippocampal volumes in participants with amnestic mild cognitive impairment, but not in cognitively unimpaired participants, regardless of sex. Using free-water corrected volumes eliminated all significant associations with OSA severity. Therefore, the increase in medial temporal subregion volumes may possibly be due to edema. Whether these structural manifestations further progress to neuronal death in non-treated OSA patients should be investigated.
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Affiliation(s)
- Marie-Ève Martineau-Dussault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Claire André
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Véronique Daneault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada
| | - Andrée-Ann Baril
- Department of Psychiatry, McGill University, Montreal, Canada,Douglas Mental Health University Institute, CIUSSS de l'Ouest-de-l'Ile-de-Montréal, Montreal, Canada
| | - Katia Gagnon
- Hôpital en santé mentale Rivière-des-Prairies, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Hélène Blais
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Dominique Petit
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Jacques Y. Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Dominique Lorrain
- Research Center on Aging, Institut universitaire de gériatrie de Sherbrooke, CIUSSS de l’Estrie, Sherbrooke, Canada,Department of Psychology, Université de Sherbrooke, Sherbrooke, Canada
| | - Célyne Bastien
- CERVO Research Center, Quebec City, Canada,École de psychologie, Université Laval, Quebec City, Canada
| | - Carol Hudon
- CERVO Research Center, Quebec City, Canada,École de psychologie, Université Laval, Quebec City, Canada
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Arnaud Boré
- Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada,Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Guillaume Theaud
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Cynthia Thompson
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Julie Legault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Guillermo E. Martinez Villar
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Alexandre Lafrenière
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Chantal Lafond
- Department of Medecine, Université de Montréal, Montreal, Canada,Department of Pneumonology, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Danielle Gilbert
- Department of Radiology, Radio-oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada,Department of Radiology, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada,Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada,Corresponding author at: Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, CIUSSS du Nord-de l’Ile-de-Montréal, 5400 Gouin Blvd. West, Office J-5135, Montreal, Quebec H4J 1C5, Canada.
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Liu W, Wu Q, Wang M, Wang P, Shen N. Prospective association between sleep duration and cognitive impairment: Findings from the China Health and Retirement Longitudinal Study (CHARLS). Front Med (Lausanne) 2022; 9:971510. [PMID: 36148464 PMCID: PMC9485441 DOI: 10.3389/fmed.2022.971510] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Objective The association between sleep duration and cognition are inconclusive. Our study aimed to comprehensively investigate the effects of sleep duration on the risk of cognitive impairment in the middle-aged and older Chinese population. Methods We used the longitudinal cohort data from waves 1–4 (2011–2018) of the China Health and Retirement Longitudinal Study (CHARLS). Self-reported exposures included total sleep duration, nocturnal sleep duration, post-lunch napping, and changes in sleep duration over time according to face-to-face interviews. Cognitive function was assessed by a Chinese version of the Modified Mini-Mental State Examination (MMSE). Results A total of 7,342 eligible participants were included. The mean age was 61.5 ± 6.5 years, and 48.9% (3,588/7,342) were male. We identified a U-shaped association of total sleep duration as well as nocturnal sleep duration with the risk of cognitive impairment. People with 7–8 h of total sleep duration and 6–7 h of nocturnal sleep had the lowest risk of cognitive impairment. Further results showed that post-lunch napping within 2 h was beneficial to cognition and 60 min was optimal. Moreover, analyses of changes in sleep duration further supported that sleeping less or more was harmful to cognition. Notably, those “excessive-change” sleepers (from ≤6 to ≥9 h, or from ≥9 to ≤6 h) had more risks. Conclusions Keeping 7–8 h per day was related to the lowest risk of cognitive impairment in midlife and late life, and an optimal post-lunch napping was 60 min for these stable sleepers. Especially, excessive changes in sleep duration over time led to poorer cognition. Our work highlights the importance of optimal sleep habits to cognitive function. The self-reported sleep measures limited our findings, and further studies are needed for verification.
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Affiliation(s)
- Wenhua Liu
- Clinical Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qingsong Wu
- Department of Scientific Research Management, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Minghuan Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Wang
- Institute and Department of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Na Shen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Na Shen,
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