1
|
Yang C, Liu G, Chen X, Le W. Cerebellum in Alzheimer's disease and other neurodegenerative diseases: an emerging research frontier. MedComm (Beijing) 2024; 5:e638. [PMID: 39006764 PMCID: PMC11245631 DOI: 10.1002/mco2.638] [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: 10/30/2023] [Revised: 06/04/2024] [Accepted: 06/12/2024] [Indexed: 07/16/2024] Open
Abstract
The cerebellum is crucial for both motor and nonmotor functions. Alzheimer's disease (AD), alongside other dementias such as vascular dementia (VaD), Lewy body dementia (DLB), and frontotemporal dementia (FTD), as well as other neurodegenerative diseases (NDs) like Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), and spinocerebellar ataxias (SCA), are characterized by specific and non-specific neurodegenerations in central nervous system. Previously, the cerebellum's significance in these conditions was underestimated. However, advancing research has elevated its profile as a critical node in disease pathology. We comprehensively review the existing evidence to elucidate the relationship between cerebellum and the aforementioned diseases. Our findings reveal a growing body of research unequivocally establishing a link between the cerebellum and AD, other forms of dementia, and other NDs, supported by clinical evidence, pathological and biochemical profiles, structural and functional neuroimaging data, and electrophysiological findings. By contrasting cerebellar observations with those from the cerebral cortex and hippocampus, we highlight the cerebellum's distinct role in the disease processes. Furthermore, we also explore the emerging therapeutic potential of targeting cerebellum for the treatment of these diseases. This review underscores the importance of the cerebellum in these diseases, offering new insights into the disease mechanisms and novel therapeutic strategies.
Collapse
Affiliation(s)
- Cui Yang
- Institute of Neurology Sichuan Provincial People's Hospital School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - Guangdong Liu
- Institute of Neurology Sichuan Provincial People's Hospital School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - Xi Chen
- Institute of Neurology Sichuan Provincial People's Hospital School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - Weidong Le
- Institute of Neurology Sichuan Provincial People's Hospital School of Medicine University of Electronic Science and Technology of China Chengdu China
| |
Collapse
|
2
|
Chen Y, Al-Nusaif M, Li S, Tan X, Yang H, Cai H, Le W. Progress on early diagnosing Alzheimer's disease. Front Med 2024; 18:446-464. [PMID: 38769282 DOI: 10.1007/s11684-023-1047-1] [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: 09/23/2023] [Accepted: 11/15/2023] [Indexed: 05/22/2024]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects both cognition and non-cognition functions. The disease follows a continuum, starting with preclinical stages, progressing to mild cognitive and behavioral impairment, ultimately leading to dementia. Early detection of AD is crucial for better diagnosis and more effective treatment. However, the current AD diagnostic tests of biomarkers using cerebrospinal fluid and/or brain imaging are invasive or expensive, and mostly are still not able to detect early disease state. Consequently, there is an urgent need to develop new diagnostic techniques with higher sensitivity and specificity during the preclinical stages of AD. Various non-cognitive manifestations, including behavioral abnormalities, sleep disturbances, sensory dysfunctions, and physical changes, have been observed in the preclinical AD stage before occurrence of notable cognitive decline. Recent research advances have identified several biofluid biomarkers as early indicators of AD. This review focuses on these non-cognitive changes and newly discovered biomarkers in AD, specifically addressing the preclinical stages of the disease. Furthermore, it is of importance to explore the potential for developing a predictive system or network to forecast disease onset and progression at the early stage of AD.
Collapse
Affiliation(s)
- Yixin Chen
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China
| | - Murad Al-Nusaif
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China
| | - Song Li
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China
| | - Xiang Tan
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China
| | - Huijia Yang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China
| | - Huaibin Cai
- Transgenic Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Weidong Le
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital of Dalian Medical University, Dalian, 116021, China.
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, 610072, China.
| |
Collapse
|
3
|
Li Y, Hou S, Li F, Long S, Yang Y, Li Y, Zhao L, Yu Y. Preoperative recovery sleep ameliorates postoperative cognitive dysfunction aggravated by sleep fragmentation in aged mice by enhancing EEG delta-wave activity and LFP theta oscillation in hippocampal CA1. Brain Res Bull 2024; 211:110945. [PMID: 38608544 DOI: 10.1016/j.brainresbull.2024.110945] [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: 12/07/2023] [Revised: 03/10/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Sleep fragmentation (SF) is a common sleep problem experienced during the perioperative period by older adults, and is associated with postoperative cognitive dysfunction (POCD). Increasing evidence indicates that delta-wave activity during non-rapid eye movement (NREM) sleep is involved in sleep-dependent memory consolidation and that hippocampal theta oscillations are related to spatial exploratory memory. Recovery sleep (RS), a self-regulated state of sleep homeostasis, enhances delta-wave power and memory performance in sleep-deprived older mice. However, it remains unclear whether RS therapy has a positive effect on cognitive changes following SF in older mouse models. Therefore, this study aimed to explore whether preoperative RS can alleviate cognitive deficits in aged mice with SF. A model of preoperative 24-h SF combined with exploratory laparotomy-induced POCD was established in 18-month-old mice. Aged mice were treated with preoperative 6-h RS following SF and postoperative 6-h RS following surgery, respectively. The changes in hippocampus-dependent cognitive function were investigated using behavioral tests, electroencephalography (EEG), local field potential (LFP), magnetic resonance imaging, and neuromorphology. Mice that underwent 24-h SF combined with surgery exhibited severe spatial memory impairment; impaired cognitive performance could be alleviated by preoperative RS treatment. In addition, preoperative RS increased NREM sleep; enhanced EEG delta-wave activity and LFP theta oscillation in the hippocampal CA1; and improved hippocampal perfusion, microstructural integrity, and neuronal damage. Taken together, these results provide evidence that preoperative RS may ameliorate the severity of POCD aggravated by SF by enhancing delta slow-wave activity and hippocampal theta oscillation, and by ameliorating the reduction in regional cerebral blood flow and white matter microstructure integrity in the hippocampus.
Collapse
Affiliation(s)
- Yun Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Shaowei Hou
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, China
| | - Feixiang Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Siwen Long
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Yue Yang
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Yize Li
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China
| | - Lina Zhao
- Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Yonghao Yu
- Department of Anesthesiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Tianjin Research Institute of Anesthesiology, Tianjin 300052, China.
| |
Collapse
|
4
|
Sun H, Adra N, Ayub MA, Ganglberger W, Ye E, Fernandes M, Paixao L, Fan Z, Gupta A, Ghanta M, Moura Junior VF, Rosand J, Westover MB, Thomas RJ. Assessing Risk of Health Outcomes From Brain Activity in Sleep: A Retrospective Cohort Study. Neurol Clin Pract 2024; 14:e200225. [PMID: 38173542 PMCID: PMC10759032 DOI: 10.1212/cpj.0000000000200225] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 10/04/2023] [Indexed: 01/05/2024]
Abstract
Background and Objectives Patterns of electrical activity in the brain (EEG) during sleep are sensitive to various health conditions even at subclinical stages. The objective of this study was to estimate sleep EEG-predicted incidence of future neurologic, cardiovascular, psychiatric, and mortality outcomes. Methods This is a retrospective cohort study with 2 data sets. The Massachusetts General Hospital (MGH) sleep data set is a clinic-based cohort, used for model development. The Sleep Heart Health Study (SHHS) is a community-based cohort, used as the external validation cohort. Exposure is good, average, or poor sleep defined by quartiles of sleep EEG-predicted risk. The outcomes include ischemic stroke, intracranial hemorrhage, mild cognitive impairment, dementia, atrial fibrillation, myocardial infarction, type 2 diabetes, hypertension, bipolar disorder, depression, and mortality. Diagnoses were based on diagnosis codes, brain imaging reports, medications, cognitive scores, and hospital records. We used the Cox survival model with death as the competing risk. Results There were 8673 participants from MGH and 5650 from SHHS. For all outcomes, the model-predicted 10-year risk was within the 95% confidence interval of the ground truth, indicating good prediction performance. When comparing participants with poor, average, and good sleep, except for atrial fibrillation, all other 10-year risk ratios were significant. The model-predicted 10-year risk ratio closely matched the observed event rate in the external validation cohort. Discussion The incidence of health outcomes can be predicted by brain activity during sleep. The findings strengthen the concept of sleep as an accessible biological window into unfavorable brain and general health outcomes.
Collapse
Affiliation(s)
- Haoqi Sun
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Noor Adra
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Muhammad Abubakar Ayub
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Wolfgang Ganglberger
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Elissa Ye
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Marta Fernandes
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Luis Paixao
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Ziwei Fan
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Aditya Gupta
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Manohar Ghanta
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Valdery F Moura Junior
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Jonathan Rosand
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - M Brandon Westover
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Robert J Thomas
- Department of Neurology (HS, NA, MAA, WG, EY, MF, LP, ZF, AG, MG, VFMJ, JR, MBW), Massachusetts General Hospital; Henry and Allison McCance Center for Brain Health at Mass General (HS, VFMJ, JR, MBW); Department of Neurology (HS, WG, AG, MG, VFMJ, MBW), Beth Israel Deaconess Medical Center, Boston, MA; Department of Neurology (MAA), Louisiana State University Health Sciences Center, Shreveport, LA; Department of Neurology (LP), Washington University School of Medicine in St. Louis, MO; and Division of Pulmonary (RJT), Critical Care and Sleep, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| |
Collapse
|
5
|
Jia C, Tian L, Cheng C, Zhang J, Al-Nusaif M, Li T, Yang H, Lin Y, Li S, Le W. α-Synuclein reduces acetylserotonin O-methyltransferase mediated melatonin biosynthesis by microtubule-associated protein 1 light chain 3 beta-related degradation pathway. Cell Mol Life Sci 2024; 81:61. [PMID: 38279053 DOI: 10.1007/s00018-023-05053-7] [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: 07/17/2023] [Revised: 10/16/2023] [Accepted: 11/13/2023] [Indexed: 01/28/2024]
Abstract
Previous studies have demonstrated that α-synuclein (α-SYN) is closely associated with rapid eye movement sleep behavior disorder (RBD) related to several neurodegenerative disorders. However, the exact molecular mechanisms are still rarely investigated. In the present study, we found that in the α-SYNA53T induced RBD-like behavior mouse model, the melatonin level in the plasma and pineal gland were significantly decreased. To elucidate the underlying mechanism of α-SYN-induced melatonin reduction, we investigated the effect of α-SYN in melatonin biosynthesis. Our findings showed that α-SYN reduced the level and activity of melatonin synthesis enzyme acetylserotonin O-methyltransferase (ASMT) in the pineal gland and in the cell cultures. In addition, we found that microtubule-associated protein 1 light chain 3 beta (LC3B) as an important autophagy adapter is involved in the degradation of ASMT. Immunoprecipitation assays revealed that α-SYN increases the binding between LC3B and ASMT, leading to ASMT degradation and a consequent reduction in melatonin biosynthesis. Collectively, our results demonstrate the molecular mechanisms of α-SYN in melatonin biosynthesis, indicating that melatonin is an important molecule involved in the α-SYN-associated RBD-like behaviors, which may provide a potential therapeutic target for RBD of Parkinson's disease.
Collapse
Affiliation(s)
- Congcong Jia
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Lulu Tian
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Cheng Cheng
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Jun Zhang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Murad Al-Nusaif
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Tianbai Li
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Huijia Yang
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Yushan Lin
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Song Li
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Weidong Le
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.
- Institute of Neurology, Sichuan Academy of Medical Sciences, Sichuan Provincial Hospital, Chengdu, 610072, China.
| |
Collapse
|
6
|
Zhao Q, Maci M, Miller MR, Zhou H, Zhang F, Algamal M, Lee YF, Hou SS, Perle SJ, Le H, Russ AN, Lo EH, Gerashchenko D, Gomperts SN, Bacskai BJ, Kastanenka KV. Sleep restoration by optogenetic targeting of GABAergic neurons reprograms microglia and ameliorates pathological phenotypes in an Alzheimer's disease model. Mol Neurodegener 2023; 18:93. [PMID: 38041158 PMCID: PMC10693059 DOI: 10.1186/s13024-023-00682-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 11/17/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) patients exhibit memory disruptions and profound sleep disturbances, including disruption of deep non-rapid eye movement (NREM) sleep. Slow-wave activity (SWA) is a major restorative feature of NREM sleep and is important for memory consolidation. METHODS We generated a mouse model where GABAergic interneurons could be targeted in the presence of APPswe/PS1dE9 (APP) amyloidosis, APP-GAD-Cre mice. An electroencephalography (EEG) / electromyography (EMG) telemetry system was used to monitor sleep disruptions in these animals. Optogenetic stimulation of GABAergic interneurons in the anterior cortex targeted with channelrhodopsin-2 (ChR2) allowed us to examine the role GABAergic interneurons play in sleep deficits. We also examined the effect of optogenetic stimulation on amyloid plaques, neuronal calcium as well as sleep-dependent memory consolidation. In addition, microglial morphological features and functions were assessed using confocal microscopy and flow cytometry. Finally, we performed sleep deprivation during optogenetic stimulation to investigate whether sleep restoration was necessary to slow AD progression. RESULTS APP-GAD-Cre mice exhibited impairments in sleep architecture including decreased time spent in NREM sleep, decreased delta power, and increased sleep fragmentation compared to nontransgenic (NTG) NTG-GAD-Cre mice. Optogenetic stimulation of cortical GABAergic interneurons increased SWA and rescued sleep impairments in APP-GAD-Cre animals. Furthermore, it slowed AD progression by reducing amyloid deposition, normalizing neuronal calcium homeostasis, and improving memory function. These changes were accompanied by increased numbers and a morphological transformation of microglia, elevated phagocytic marker expression, and enhanced amyloid β (Aβ) phagocytic activity of microglia. Sleep was necessary for amelioration of pathophysiological phenotypes in APP-GAD-Cre mice. CONCLUSIONS In summary, our study shows that optogenetic targeting of GABAergic interneurons rescues sleep, which then ameliorates neuropathological as well as behavioral deficits by increasing clearance of Aβ by microglia in an AD mouse model.
Collapse
Affiliation(s)
- Qiuchen Zhao
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Megi Maci
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Morgan R Miller
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Heng Zhou
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Fang Zhang
- Departments of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Moustafa Algamal
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Yee Fun Lee
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Steven S Hou
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Stephen J Perle
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Hoang Le
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Alyssa N Russ
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Eng H Lo
- Departments of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Dmitry Gerashchenko
- Department of Psychiatry, Harvard Medical School and Veterans Affairs Boston Healthcare System, West Roxbury, MA, 02132, USA
| | - Stephen N Gomperts
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Brian J Bacskai
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
| | - Ksenia V Kastanenka
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.
| |
Collapse
|
7
|
Lee J, Kim HC, Lee YJ, Lee S. Development of generalizable automatic sleep staging using heart rate and movement based on large databases. Biomed Eng Lett 2023; 13:649-658. [PMID: 37872992 PMCID: PMC10590335 DOI: 10.1007/s13534-023-00288-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/12/2023] [Accepted: 05/14/2023] [Indexed: 10/25/2023] Open
Abstract
Purpose With the advancement of deep neural networks in biosignals processing, the performance of automatic sleep staging algorithms has improved significantly. However, sleep staging using only non-electroencephalogram features has not been as successful, especially following the current American Association of Sleep Medicine (AASM) standards. This study presents a fine-tuning based approach to widely generalizable automatic sleep staging using heart rate and movement features trained and validated on large databases of polysomnography. Methods A deep neural network is used to predict sleep stages using heart rate and movement features. The model is optimized on a dataset of 8731 nights of polysomnography recordings labeled using the Rechtschaffen & Kales scoring system, and fine-tuned to a smaller dataset of 1641 AASM-labeled recordings. The model prior to and after fine-tuning is validated on two AASM-labeled external datasets totaling 1183 recordings. In order to measure the performance of the model, the output of the optimized model is compared to reference expert-labeled sleep stages using accuracy and Cohen's κ as key metrics. Results The fine-tuned model showed accuracy of 76.6% with Cohen's κ of 0.606 in one of the external validation datasets, outperforming a previously reported result, and showed accuracy of 81.0% with Cohen's κ of 0.673 in another external validation dataset. Conclusion These results indicate that the proposed model is generalizable and effective in predicting sleep stages using features which can be extracted from non-contact sleep monitors. This holds valuable implications for future development of home sleep evaluation systems.
Collapse
Affiliation(s)
| | - Hee Chan Kim
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, 03080 South Korea
- Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, 08826 South Korea
| | - Yu Jin Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, 03080 South Korea
- Center for Sleep and Chronobiology, Seoul National University Hospital, Seoul, 03080 South Korea
| | - Saram Lee
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, 03080 South Korea
| |
Collapse
|
8
|
Guo Y, Liang R, Ren J, Cheng L, Wang M, Chai H, Cheng X, Yang Y, Sun Y, Li J, Zhao S, Hou W, Zhang J, Liu F, Wang R, Niu Q, Yu H, Yang S, Bai J, Zhang H, Qin X, Xia N. Cognitive status and its risk factors in patients with hypertension and diabetes in a low-income rural area of China: A cross-sectional study. Int J Geriatr Psychiatry 2023; 38:e6010. [PMID: 37794769 DOI: 10.1002/gps.6010] [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: 10/11/2022] [Accepted: 09/25/2023] [Indexed: 10/06/2023]
Abstract
OBJECTIVES The proportion of older people with dementia in China is gradually increasing with the increase in the aging population over recent years. Hypertension and diabetes are common non-communicable diseases among rural populations in China. However, it remains unclear whether these conditions affect the occurrence and development of cognitive impairment as there is limited research on cognitive status and its risk factors among residents of rural areas. METHODS A multi-stage stratified cluster random sampling method was used to select 5400 participants from rural permanent residents. A self-designed structured questionnaire was used to investigate demographic data of the participants. Cognitive function was assessed using the Montreal Cognitive Function Assessment Scale (MoCA). The results were analyzed using chi-square test, ANOVA and multiple linear regression analysis. RESULTS A total of 5028 participants returned the survey, giving a response rate of 93.1%. Higher education (odds ratio (OR) = 3.2, 95% confidence interval (CI) 2.87-3.54, p < 0.001), higher income (OR = 1.61, 95% CI 1.16-2.07, p < 0.001), and dietary control (OR = 0.66, 95%CI 0.34-0.98, p < 0.001) were protective factors. A visual representation of the relationship between annual income and MoCA score showed an inverted U-curve, the group with an annual income of 6000-7999 RMB had a maximum OR of 1.93 (95%CI 0.12-2.74, p < 0.001). While difficulty in maintaining sleep were risk factors for cognitive impairment (OR = -2.28, 95% CI-4.18-0.39, p = 0.018). CONCLUSIONS Participants with middle incomes had better cognitive status than those with the highest incomes. Higher education, proper diet control and good sleep are beneficial to the cognitive status of residents in rural areas.
Collapse
Affiliation(s)
- Yuyan Guo
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Ruifeng Liang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Jingjuan Ren
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Liting Cheng
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
- Jinzhong Center for Disease Control and Prevention, Health Commission of Shanxi Province, Jinzhong, China
| | - Mengqin Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Huilin Chai
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Xiaoyu Cheng
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Yaowen Yang
- Health Commission Supervision & Inspection Center, Health Commission of Shanxi Province, Taiyuan, China
| | - Yajuan Sun
- Evaluation Center for Medical Service and Administration, Health Commission of Shanxi Province, Taiyuan, China
| | - Jiantao Li
- Department of Health Economics, School of Management, Shanxi Medical University, Taiyuan, China
| | - Shuhong Zhao
- Evaluation Center for Medical Service and Administration, Health Commission of Shanxi Province, Taiyuan, China
| | - Wenjing Hou
- Evaluation Center for Medical Service and Administration, Health Commission of Shanxi Province, Taiyuan, China
| | - Jianhua Zhang
- Health Commission and Sports Bureau of Yangqu County, Taiyuan, China
| | - Feng Liu
- Yangqu People's Hospital, Taiyuan, China
| | - Rong Wang
- Yangqu People's Hospital, Taiyuan, China
| | - Qiao Niu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, China
| | - Hongmei Yu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Shoulin Yang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Jianying Bai
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Hongmei Zhang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Xiaojiang Qin
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Na Xia
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, China
| |
Collapse
|
9
|
Lee YF, Russ AN, Zhao Q, Perle SJ, Maci M, Miller MR, Hou SS, Algamal M, Zhao Z, Li H, Gelwan N, Liu Z, Gomperts SN, Araque A, Galea E, Bacskai BJ, Kastanenka KV. Optogenetic targeting of astrocytes restores slow brain rhythm function and slows Alzheimer's disease pathology. Sci Rep 2023; 13:13075. [PMID: 37567942 PMCID: PMC10421876 DOI: 10.1038/s41598-023-40402-3] [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: 04/13/2023] [Accepted: 08/09/2023] [Indexed: 08/13/2023] Open
Abstract
Patients with Alzheimer's disease (AD) exhibit non-rapid eye movement (NREM) sleep disturbances in addition to memory deficits. Disruption of NREM slow waves occurs early in the disease progression and is recapitulated in transgenic mouse models of beta-amyloidosis. However, the mechanisms underlying slow-wave disruptions remain unknown. Because astrocytes contribute to slow-wave activity, we used multiphoton microscopy and optogenetics to investigate whether they contribute to slow-wave disruptions in APP/PS1 mice. The power but not the frequency of astrocytic calcium transients was reduced in APP/PS1 mice compared to nontransgenic controls. Optogenetic activation of astrocytes at the endogenous frequency of slow waves restored slow-wave power, reduced amyloid deposition, prevented neuronal calcium elevations, and improved memory performance. Our findings revealed malfunction of the astrocytic network driving slow-wave disruptions. Thus, targeting astrocytes to restore circuit activity underlying sleep and memory disruptions in AD could ameliorate disease progression.
Collapse
Affiliation(s)
- Yee Fun Lee
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Alyssa N Russ
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Qiuchen Zhao
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Stephen J Perle
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Megi Maci
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Morgan R Miller
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Steven S Hou
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Moustafa Algamal
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Zhuoyang Zhao
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Hanyan Li
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Noah Gelwan
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Zhe Liu
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Stephen N Gomperts
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Alfonso Araque
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Elena Galea
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA
| | - Brian J Bacskai
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA.
| | - Ksenia V Kastanenka
- Department of Neurology, MassGeneral Institute of Neurodegenerative Diseases, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA.
| |
Collapse
|
10
|
Wang M, Chen X, Niu L, Xu J, Yu H, Xu X, Yang Q, Xiang Y, Le W. APP swe /PS1 ΔE9 mice exhibit low oxygen saturation and alterations of erythrocytes preceding the neuropathology and cognitive deficiency during Alzheimer's disease. CNS Neurosci Ther 2023; 29:1889-1897. [PMID: 36883266 PMCID: PMC10546960 DOI: 10.1111/cns.14147] [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: 09/02/2022] [Revised: 02/17/2023] [Accepted: 02/19/2023] [Indexed: 03/09/2023] Open
Abstract
AIM The molecular mechanism underlying Alzheimer's disease (AD) pathologies remains unclear. The brain is extremely sensitive to oxygen deprivation, and brief interruptions in oxygen supply may lead to permanent brain damage. The objective here was to access the red blood cell (RBC) physiological alterations and the changes in blood oxygen saturation of an AD model as well as to explore the possible mechanism underlying these pathologies. METHODS We used female APPswe /PS1ΔE9 mice as AD models. Data were collected at the age of 3, 6, and 9 months. In addition to examining classic features of AD, namely cognitive deficiency and Aβ depositions, 24 h blood oxygen saturation was monitored by Plus oximeters in real time. In addition, RBC physiological parameters were measured by blood cell counter using peripheral blood from the epicanthal veins. Furthermore, in the mechanism investigations, the expression of phosphorylated band 3 protein was examined by a series of Western blot analyses, and the levels of soluble Aβ40 and Aβ42 on the membrane of RBCs were determined by ELISA. RESULTS Our results showed that the blood oxygen saturation in the AD mice was significantly reduced as early as at 3 months of age, preceding the neuropathological changes and cognitive impairments. Meanwhile, the expression of phosphorylated band 3 protein and levels of soluble Aβ40 and Aβ42 were all elevated in the erythrocytes of the AD mice. CONCLUSION APPswe /PS1ΔE9 mice exhibited decreased oxygen saturation together with reduced RBC counts and hemoglobin concentrations at the early stage, which may aid in the development of predictive markers for AD diagnosis. The increased expression of band 3 protein and elevated Aβ40 and Aβ42 levels may contribute to the deformation of RBCs and, in turn, cause the subsequent AD development.
Collapse
Affiliation(s)
- Manli Wang
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| | - Xi Chen
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| | - Long Niu
- Center for Clinical Research on Neurological Diseases, the First Affiliated HospitalDalian Medical UniversityDalianChina
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated HospitalDalian Medical UniversityDalianChina
| | - Jianli Xu
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| | - Hang Yu
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| | - Xiaojiao Xu
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| | - Qiu Yang
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| | - Yang Xiang
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| | - Weidong Le
- Institute of Neurology, Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
- Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengduChina
| |
Collapse
|
11
|
Yu H, Wang M, Yang Q, Xu X, Zhang R, Chen X, Le W. The electrophysiological and neuropathological profiles of cerebellum in APP swe /PS1 ΔE9 mice: A hypothesis on the role of cerebellum in Alzheimer's disease. Alzheimers Dement 2023; 19:2365-2375. [PMID: 36469008 DOI: 10.1002/alz.12853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/28/2022] [Accepted: 10/05/2022] [Indexed: 12/11/2022]
Abstract
We propose the hypothesis that the cerebellar electrophysiology and sleep-wake cycles may be altered at the early stage of Alzheimer's disease (AD), proceeding the amyloid-β neuropathological hallmarks. The electrophysiologic characteristics of cerebellum thereby might be served as a biomarker in the prepathological detection of AD. Sleep disturbances are common in preclinical AD patients, and the cerebellum has been implicated in sleep-wake regulation by several pioneer studies. Additionally, recent studies suggest that the structure and function of the cerebellum may be altered at the early stages of AD, indicating that the cerebellum may be involved in the disease's progression. We used APPswe /PS1ΔE9 mice as a model of AD, monitored and analyzed electroencephalogram data, and assessed neuropathological profiles in the cerebellum of AD mice. Our hypothesis may establish a linkage between the cerebellum and AD, thereby potentially providing new perspectives on the pathogenesis of the disease.
Collapse
Affiliation(s)
- Hang Yu
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Manli Wang
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Qiu Yang
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Xiaojiao Xu
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Rong Zhang
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Xi Chen
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Weidong Le
- Institute of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| |
Collapse
|
12
|
Drew VJ, Wang C, Kim T. Progressive sleep disturbance in various transgenic mouse models of Alzheimer's disease. Front Aging Neurosci 2023; 15:1119810. [PMID: 37273656 PMCID: PMC10235623 DOI: 10.3389/fnagi.2023.1119810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/24/2023] [Indexed: 06/06/2023] Open
Abstract
Alzheimer's disease (AD) is the leading cause of dementia. The relationship between AD and sleep dysfunction has received increased attention over the past decade. The use of genetically engineered mouse models with enhanced production of amyloid beta (Aβ) or hyperphosphorylated tau has played a critical role in the understanding of the pathophysiology of AD. However, their revelations regarding the progression of sleep impairment in AD have been highly dependent on the mouse model used and the specific techniques employed to examine sleep. Here, we discuss the sleep disturbances and general pathology of 15 mouse models of AD. Sleep disturbances covered in this review include changes to NREM and REM sleep duration, bout lengths, bout counts and power spectra. Our aim is to describe in detail the severity and chronology of sleep disturbances within individual mouse models of AD, as well as reveal broader trends of sleep deterioration that are shared among most models. This review also explores a variety of potential mechanisms relating Aβ accumulation and tau neurofibrillary tangles to the progressive deterioration of sleep observed in AD. Lastly, this review offers perspective on how study design might impact our current understanding of sleep disturbances in AD and provides strategies for future research.
Collapse
Affiliation(s)
- Victor J. Drew
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Chanung Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Tae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| |
Collapse
|
13
|
Lee YF, Russ AN, Zhao Q, Maci M, Miller MR, Hou SS, Algamal M, Zhao Z, Li H, Gelwan N, Gomperts SN, Araque A, Galea E, Bacskai BJ, Kastanenka KV. Optogenetic Targeting of Astrocytes Restores Slow Brain Rhythm Function and Slows Alzheimer's Disease Pathology. RESEARCH SQUARE 2023:rs.3.rs-2813056. [PMID: 37163040 PMCID: PMC10168443 DOI: 10.21203/rs.3.rs-2813056/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Patients with Alzheimer's disease (AD) exhibit non-rapid eye movement (NREM) sleep disturbances in addition to memory deficits. Disruption of NREM slow waves occurs early in the disease progression and is recapitulated in transgenic mouse models of beta-amyloidosis. However, the mechanisms underlying slow-wave disruptions remain unknown. Because astrocytes contribute to slow-wave activity, we used multiphoton microscopy and optogenetics to investigate whether they contribute to slow-wave disruptions in APP mice. The power but not the frequency of astrocytic calcium transients was reduced in APP mice compared to nontransgenic controls. Optogenetic activation of astrocytes at the endogenous frequency of slow waves restored slow-wave power, reduced amyloid deposition, prevented neuronal calcium elevations, and improved memory performance. Our findings revealed malfunction of the astrocytic network driving slow-wave disruptions. Thus, targeting astrocytes to restore circuit activity underlying sleep and memory disruptions in AD could ameliorate disease progression.
Collapse
Affiliation(s)
| | - Alyssa N Russ
- Massachusetts General Hospital, Harvard Medical School
| | - Qiuchen Zhao
- Massachusetts General Hospital, Harvard Medical School
| | - Megi Maci
- Massachusetts General Hospital, Harvard Medical School
| | | | - Steven S Hou
- Massachusetts General Hospital, Harvard Medical School
| | | | - Zhuoyang Zhao
- Massachusetts General Hospital, Harvard Medical School
| | - Hanyan Li
- Massachusetts General Hospital, Harvard Medical School
| | - Noah Gelwan
- Massachusetts General Hospital, Harvard Medical School
| | | | | | - Elena Galea
- Massachusetts General Hospital, Harvard Medical School
| | | | | |
Collapse
|
14
|
Dong Q, Ptáček LJ, Fu YH. Mutant β 1-adrenergic receptor improves REM sleep and ameliorates tau accumulation in a mouse model of tauopathy. Proc Natl Acad Sci U S A 2023; 120:e2221686120. [PMID: 37014857 PMCID: PMC10104526 DOI: 10.1073/pnas.2221686120] [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: 12/23/2022] [Accepted: 02/23/2023] [Indexed: 04/05/2023] Open
Abstract
Sleep is essential for our well-being, and chronic sleep deprivation has unfavorable health consequences. We recently demonstrated that two familial natural short sleep (FNSS) mutations, DEC2-P384R and Npsr1-Y206H, are strong genetic modifiers of tauopathy in PS19 mice, a model of tauopathy. To gain more insight into how FNSS variants modify the tau phenotype, we tested the effect of another FNSS gene variant, Adrb1-A187V, by crossing mice with this mutation onto the PS19 background. We found that the Adrb1-A187V mutation helped restore rapid eye movement (REM) sleep and alleviated tau aggregation in a sleep-wake center, the locus coeruleus (LC), in PS19 mice. We found that ADRB1+ neurons in the central amygdala (CeA) sent projections to the LC, and stimulating CeAADRB1+ neuron activity increased REM sleep. Furthermore, the mutant Adrb1 attenuated tau spreading from the CeA to the LC. Our findings suggest that the Adrb1-A187V mutation protects against tauopathy by both mitigating tau accumulation and attenuating tau spreading.
Collapse
Affiliation(s)
- Qing Dong
- Department of Neurology, University of California San Francisco, San Francisco, CA94143
| | - Louis J. Ptáček
- Department of Neurology, University of California San Francisco, San Francisco, CA94143
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA94143
- Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA94143
- Kavli Institute for Fundamental Neuroscience,University of California San Francisco, San Francisco, CA94143
| | - Ying-Hui Fu
- Department of Neurology, University of California San Francisco, San Francisco, CA94143
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA94143
- Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA94143
- Kavli Institute for Fundamental Neuroscience,University of California San Francisco, San Francisco, CA94143
| |
Collapse
|
15
|
Cheng C, Yang C, Jia C, Wang Q. The Role of Cerebellum in Alzheimer's Disease: A Forgotten Research Corner. J Alzheimers Dis 2023; 95:75-78. [PMID: 37458038 DOI: 10.3233/jad-230381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Alzheimer's disease (AD) is a complex, heterogeneous, and progressive neurodegenerative dementia. Although the majority of AD research has primarily focused on disease-associated alterations of the cortex and hippocampus in the cerebrum, emerging evidence has highlighted the cerebellum's involvement in sleep, cognition, and AD. In this commentary, we discuss a recently published article in Alzheimer's and Dementia, which examines changes in cerebellar electrophysiology, sleep-wake cycles, and neuropathology in APPswe/PS1ΔE9 mice. We also explore the potential role of the cerebellum in AD, offering a fresh perspective on the study of cerebellar involvement in the disease.
Collapse
Affiliation(s)
- Cheng Cheng
- School of Public Health, Dalian Medical University, Dalian, China
- National-Local Joint Engineering Research Center for Drug-Research and Development (R&D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, China
- Liaoning Provincial Key Laboratories for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Cui Yang
- Institute of Neurology, Sichuan Academy of Medical Sciences-Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Congcong Jia
- Liaoning Provincial Key Laboratories for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Qingshan Wang
- School of Public Health, Dalian Medical University, Dalian, China
- National-Local Joint Engineering Research Center for Drug-Research and Development (R&D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, China
| |
Collapse
|
16
|
Liu X, Yu H, Wang Y, Li S, Cheng C, Al-Nusaif M, Le W. Altered Motor Performance, Sleep EEG, and Parkinson's Disease Pathology Induced by Chronic Sleep Deprivation in Lrrk2 G2019S Mice. Neurosci Bull 2022; 38:1170-1182. [PMID: 35612787 PMCID: PMC9554065 DOI: 10.1007/s12264-022-00881-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/10/2022] [Indexed: 11/28/2022] Open
Abstract
Parkinson's disease (PD) is a multifaceted disease in which environmental variables combined with genetic predisposition cause dopaminergic (DAergic) neuron loss in the substantia nigra pars compacta. The mutation of leucine-rich repeat kinase 2 (Lrrk2) is the most common autosomal dominant mutation in PD, and it has also been reported in sporadic cases. A growing body of research suggests that circadian rhythm disruption, particularly sleep-wake abnormality, is common during the early phase of PD. Our present study aimed to evaluate the impact of sleep deprivation (SD) on motor ability, sleep performance, and PD pathologies in Lrrk2G2019S transgenic mice. After two months of SD, Lrrk2G2019S mice at 12 months of age showed an exacerbated PD-like phenotype with motor deficits, a reduced striatal DA level, degenerated DAergic neurons, and altered sleep structure and biological rhythm accompanied by the decreased protein expression level of circadian locomotor output cycles kaput Lrrk2 gene in the brain. All these changes persisted and were even more evident in 18-month-old mice after 6 months of follow-up. Moreover, a significant increase in α-synuclein aggregation was found in SD-treated transgenic mice at 18 months of age. Taken together, our findings indicate that sleep abnormalities, as a risk factor, may contribute to the pathogenesis and progression of PD. Early detection of sleep disorders and improvement of sleep quality may help to delay disease progression and provide long-term clinical benefits.
Collapse
Affiliation(s)
- Xinyao Liu
- Center for Clinical Research on Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Hang Yu
- Institute of Neurology, Sichuan Academy of Sciences-Sichuan Provincial Hospital of UESTC Medical School, Chengdu, 610031, China
| | - Yuanyuan Wang
- Center for Clinical Research on Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Song Li
- Center for Clinical Research on Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Cheng Cheng
- Center for Clinical Research on Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Murad Al-Nusaif
- Center for Clinical Research on Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Weidong Le
- Center for Clinical Research on Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.
- Institute of Neurology, Sichuan Academy of Sciences-Sichuan Provincial Hospital of UESTC Medical School, Chengdu, 610031, China.
| |
Collapse
|
17
|
The Asparaginyl Endopeptidase Legumain: An Emerging Therapeutic Target and Potential Biomarker for Alzheimer’s Disease. Int J Mol Sci 2022; 23:ijms231810223. [PMID: 36142134 PMCID: PMC9499314 DOI: 10.3390/ijms231810223] [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: 08/16/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 11/21/2022] Open
Abstract
Alzheimer’s disease (AD) is incurable dementia closely associated with aging. Most cases of AD are sporadic, and very few are inherited; the pathogenesis of sporadic AD is complex and remains to be elucidated. The asparaginyl endopeptidase (AEP) or legumain is the only recognized cysteine protease that specifically hydrolyzes peptide bonds after asparagine residues in mammals. The expression level of AEPs in healthy brains is far lower than that of peripheral organs. Recently, growing evidence has indicated that aging may upregulate and overactivate brain AEPs. The overactivation of AEPs drives the onset of AD through cleaving tau and amyloid precursor proteins (APP), and SET, an inhibitor of protein phosphatase 2A (PP2A). The AEP-mediated cleavage of these peptides enhances amyloidosis, promotes tau hyperphosphorylation, and ultimately induces neurodegeneration and cognitive impairment. Upregulated AEPs and related deleterious reactions constitute upstream events of amyloid/tau toxicity in the brain, and represent early pathological changes in AD. Thus, upregulated AEPs are an emerging drug target for disease modification and a potential biomarker for predicting preclinical AD. However, the presence of the blood–brain barrier greatly hinders establishing body-fluid-based methods to measure brain AEPs. Research on AEP-activity-based imaging probes and our recent work suggest that the live brain imaging of AEPs could be used to evaluate its predictive efficacy as an AD biomarker. To advance translational research in this area, AEP imaging probes applicable to human brain and AEP inhibitors with good druggability are urgently needed.
Collapse
|
18
|
Li T, Jia C, Le W. Hypocretin neuron hyperexcitability in the hypothalamus: a newly discovered culprit in aging-related sleep impairment. Signal Transduct Target Ther 2022; 7:236. [PMID: 35840555 PMCID: PMC9287290 DOI: 10.1038/s41392-022-01091-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 06/26/2022] [Accepted: 06/28/2022] [Indexed: 11/17/2022] Open
Affiliation(s)
- Tianbai Li
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, 116021, Dalian, China
| | - Congcong Jia
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, 116021, Dalian, China
| | - Weidong Le
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, 116021, Dalian, China. .,Institute of Neurology, Sichuan Academy of Medical Sciences, Sichuan Provincial Hospital, 610072, Chengdu, China.
| |
Collapse
|
19
|
Needham H, Torpey G, Flores CC, Davis CJ, Vanderheyden WM, Gerstner JR. A Dichotomous Role for FABP7 in Sleep and Alzheimer's Disease Pathogenesis: A Hypothesis. Front Neurosci 2022; 16:798994. [PMID: 35844236 PMCID: PMC9280343 DOI: 10.3389/fnins.2022.798994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 05/10/2022] [Indexed: 11/15/2022] Open
Abstract
Fatty acid binding proteins (FABPs) are a family of intracellular lipid chaperone proteins known to play critical roles in the regulation of fatty acid uptake and transport as well as gene expression. Brain-type fatty acid binding protein (FABP7) is enriched in astrocytes and has been implicated in sleep/wake regulation and neurodegenerative diseases; however, the precise mechanisms underlying the role of FABP7 in these biological processes remain unclear. FABP7 binds to both arachidonic acid (AA) and docosahexaenoic acid (DHA), resulting in discrete physiological responses. Here, we propose a dichotomous role for FABP7 in which ligand type determines the subcellular translocation of fatty acids, either promoting wakefulness aligned with Alzheimer's pathogenesis or promoting sleep with concomitant activation of anti-inflammatory pathways and neuroprotection. We hypothesize that FABP7-mediated translocation of AA to the endoplasmic reticulum of astrocytes increases astrogliosis, impedes glutamatergic uptake, and enhances wakefulness and inflammatory pathways via COX-2 dependent generation of pro-inflammatory prostaglandins. Conversely, we propose that FABP7-mediated translocation of DHA to the nucleus stabilizes astrocyte-neuron lactate shuttle dynamics, preserves glutamatergic uptake, and promotes sleep by activating anti-inflammatory pathways through the peroxisome proliferator-activated receptor-γ transcriptional cascade. Importantly, this model generates several testable hypotheses applicable to other neurodegenerative diseases, including amyotrophic lateral sclerosis and Parkinson's disease.
Collapse
Affiliation(s)
- Hope Needham
- Department of Biology, Gonzaga University, Spokane, WA, United States
| | - Grace Torpey
- Department of Biology, Gonzaga University, Spokane, WA, United States
| | - Carlos C. Flores
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - Christopher J. Davis
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Sleep and Performance Research Center, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - William M. Vanderheyden
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Sleep and Performance Research Center, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| | - Jason R. Gerstner
- Department of Translational Medicine and Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Sleep and Performance Research Center, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Steve Gleason Institute for Neuroscience, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, United States
| |
Collapse
|
20
|
Zhao X, Du W, Jiang J, Han Y. Brain Photobiomodulation Improves Sleep Quality in Subjective Cognitive Decline: A Randomized, Sham-Controlled Study. J Alzheimers Dis 2022; 87:1581-1589. [PMID: 35491787 DOI: 10.3233/jad-215715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Sleep appears to be a sensitive biomarker that facilitates early detection and effective intervention for Alzheimer’s disease, while subjective cognitive decline (SCD) is a risk factor for Alzheimer’s disease. Prefrontal cortex atrophy is associated with both sleep disruption and cognitive decline. Transcranial brain photobiomodulation (PBM) therapy can enhance frontal cortex oxygen consumption, increasing frontal cortex mediated memory function. Objective: This study aimed to test whether PBM therapy targeting the frontal cortex could improve sleep and cognitive function in SCD. Methods: Fifty-eight SCDs were divided into the PBM group (N = 32) in which real light therapy was administered and a sham light therapy group (N = 26). All the participants received either real light or sham light therapy for 6 days consecutively, while the sleep data were recorded. The n-back task was employed to measure each participant’s working memory. Results: We found no differences in sleep efficiency change (F = 211, p = 0.279), REM stage percent change (F = 420, p = 0.91), and wake-up time (F = 212, p = 0.277) between the two groups. The sleep efficiency and REM were improved within the true light group on the fifth day. The true light group perform better than the control group in the n-back test, the accuracy was higher in the 2-back test (88.6% versus 79.6%, p = 0.001), and the reaction time in 1-back was shorter (544.80±202.00 versus 592.87±222.05, p = 0.003). Conclusion: After five days of PBM therapy targeting the prefrontal cortex, sleep efficiency and N-back cognitive performance were improved on the fifth day.
Collapse
Affiliation(s)
- Xing Zhao
- Department of NeurologyXuanwu Hospital of Capital Medical University, Beijing, China
| | - Wenying Du
- Department of NeurologyXuanwu Hospital of Capital Medical University, Beijing, China
| | - Jiehui Jiang
- Institute of Biomedical Engineering School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Ying Han
- Department of NeurologyXuanwu Hospital of Capital Medical University, Beijing, China
- Biomedical Engineering Institute, Hainan University, Haikou, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Diseases, Beijing, China
| |
Collapse
|
21
|
Orexin A peptidergic system: comparative sleep behavior, morphology and population in brains between wild type and Alzheimer’s disease mice. Brain Struct Funct 2022; 227:1051-1065. [PMID: 35066609 PMCID: PMC8930968 DOI: 10.1007/s00429-021-02447-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 12/16/2021] [Indexed: 11/13/2022]
Abstract
Sleep disturbance is common in patients with Alzheimer’s disease (AD), and orexin A is a pivotal neurotransmitter for bidirectionally regulating the amyloid-β (Aβ) deposition of AD brain and poor sleep. In the present study, we examined the characteristic of sleep–wake architecture in APPswe/PSldE9 (APP/PS1) and Aβ-treated mice using electroencephalogram (EEG) and electromyographic (EMG) analysis. We compared the expression of orexin A, distribution, and morphology of the corresponding orexin A-positive neurons using innovative methods including three-dimensional reconstruction and brain tissue clearing between wild type (WT) and APP/PS1 mice. Results from our study demonstrated that increased wakefulness and reduced NREM sleep were seen in APP/PS1 and Aβ treated mice, while the expression of orexin A was significantly upregulated. Higher density and distribution of orexin A-positive neurons were seen in APP/PS1 mice, with a location of 1.06 mm–2.30 mm away from the anterior fontanelle compared to 1.34 mm–2.18 mm away from the anterior fontanelle in WT mice. These results suggested that the population and distribution of orexin A may play an important role in the progression of AD.
Collapse
|
22
|
Zheng L, Wang Z, Liu Y, Zhao J, Huang S. Activation of the RMTg Nucleus by Chemogenetic Techniques Alleviates the Learning and Memory Impairment in APP/PS1 Mice. Neuropsychiatr Dis Treat 2022; 18:2957-2965. [PMID: 36573138 PMCID: PMC9789721 DOI: 10.2147/ndt.s388832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE There is a relationship between non-rapid eye movement (NREM) sleep and Alzheimer's disease (AD). The rostromedial tegmental nucleus (RMTg) is activated can enhance NREM. Therefore, our experiment was designed to investigate the effects of activation of RMTg by chemical genetic techniques on APP/PS1 mice learning and memory. MATERIALS AND METHODS After the AAV-hSyn-hM3Dq-mCherry virus was injected into the RMTg nucleus, CNO solution was intraperitoneally injected to activate RMTg. The new object test and Morris water maze were used to determine the learning and memory level; T2-weighted imaging (T2WI) scanning was performed to analyze the volume of hippocampus and entorhinal cortex of each group; The virus transfection status was determined by laser confocal microscope and use immunohistochemical detection to observe the deposition of Beta Amyloid 1-42 (Aβ42). RESULTS Activation of RMTg by chemical genetic techniques can reduce the escape latency and increase discrimination index (RI) and the number of crossing platform; Activation of RMTg by chemical genetic techniques reduced the atrophy of the entorhinal cortex. Aβ42 deposition in the brain was decreased after activation of RMTg. CONCLUSION Activation of the RMTg nucleus by chemogenetic techniques can improve the learning and memory impairment in APP/PS1 mice.
Collapse
Affiliation(s)
- Ling Zheng
- Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.,College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, People's Republic of China
| | - Zhenjie Wang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Yujia Liu
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China
| | - Jiapei Zhao
- Department of Rehabilitation Medicine, Xiamen Fifth Hospital, Xiamen, People's Republic of China
| | - Saie Huang
- Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, People's Republic of China
| |
Collapse
|
23
|
Xu Z, Zhu Y, Zhao H, Guo F, Wang H, Zheng M. Sleep Stage Classification Based on Multi-Centers: Comparison Between Different Ages, Mental Health Conditions and Acquisition Devices. Nat Sci Sleep 2022; 14:995-1007. [PMID: 35637772 PMCID: PMC9148176 DOI: 10.2147/nss.s355702] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 05/16/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE To investigate the general sleep stage classification performance of deep learning networks, three datasets, across different age groups, mental health conditions, and acquisition devices, comprising adults (SHHS) and children without mental health conditions (CCSHS), and subjects with mental health conditions (XJ), were included in this study. METHODS A long short-term memory (LSTM) network was used to evaluate the effect of different ages, mental health conditions, and acquisition devices on the sleep stage classification performance and the general performance. RESULTS Results showed that the age and different mental health conditions may affect the sleep stage classification performance of the network. The same acquisition device using different parameters may not have an obvious effect on the classification performance. When using a single dataset and two datasets for training, the network performed better only on the training dataset. When training was conducted with three datasets, the network performed well for all datasets with a Cohen's Kappa of 0.8192 and 0.8472 for the SHHS and CCSHS, respectively, but performed relatively worse (0.6491) for the XJ, which indicated the complexity effect of different mental health conditions on the sleep stage classification task. Moreover, the performance of the network trained using three datasets was similar for each dataset to that of the network trained using a single dataset and tested on the same dataset. CONCLUSION These results suggested that when more datasets across different age groups, mental health conditions, and acquisition devices (ie, more datasets with different feature distributions for each sleep stage) are used for training, the general performance of a deep learning network will be superior for sleep stage classification tasks with varied conditions.
Collapse
Affiliation(s)
- Ziliang Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China
| | - Yuanqiang Zhu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China
| | - Hongliang Zhao
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China
| | - Fan Guo
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China
| | - Minwen Zheng
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, 710032, People's Republic of China
| |
Collapse
|
24
|
Weihs A, Frenzel S, Garvert L, Kühn L, Wittfeld K, Ewert R, Fietze I, Penzel T, Stubbe B, Szentkirályi A, Wulms N, Völzke H, Grabe HJ. The relationship between Alzheimer's‐related brain atrophy patterns and sleep macro‐architecture. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2022; 14:e12371. [PMID: 36381559 PMCID: PMC9652484 DOI: 10.1002/dad2.12371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/15/2022]
Abstract
Introduction Sleep is increasingly recognized as a major risk factor for neurodegenerative disorders such as Alzheimer's disease (AD). Methods Using an magnetic resonance imaging (MRI)-based AD score based on clinical data from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1) case-control cohort, we investigated the associations between polysomnography-based sleep macro-architecture and AD-related brain atrophy patterns in 712 pre-symptomatic, healthy subjects from the population-based Study of Health in Pomerania. Results We identified a robust inverse association between slow-wave sleep and the AD marker (estimate: -0.019; 95% confidence interval: -0.03 to -0.0076; false discovery rate [FDR] = 0.0041), as well as with gray matter (GM) thicknesses in typical individual cortical AD-signature regions. No effects were identified regarding rapid eye movement or non-rapid eye movement (NREM) stage 2 sleep, and NREM stage 1 was positively associated with GM thickness, mainly in the prefrontal cortical regions. Discussion There is a cross-sectional relationship between AD-related neurodegenerative patterns and the proportion of sleep spent in slow-wave sleep.
Collapse
Affiliation(s)
- Antoine Weihs
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - Linda Garvert
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - Luise Kühn
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Rostock/Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - Ralf Ewert
- Department of Internal Medicine B–Cardiology Pneumology, Infectious Diseases Intensive Care Medicine University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - Ingo Fietze
- Interdisciplinary Centre of Sleep Medicine CC 12 University Hospital Charité Berlin Berlin Germany
- The Fourth People's hospital of Guangyuan Guangyuan City Sichuan China
| | - Thomas Penzel
- Interdisciplinary Centre of Sleep Medicine CC 12 University Hospital Charité Berlin Berlin Germany
| | - Beate Stubbe
- Department of Internal Medicine B–Cardiology Pneumology, Infectious Diseases Intensive Care Medicine University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - András Szentkirályi
- Institute of Epidemiology and Social Medicine University of Muenster Muenster Nordrhein‐Westfalen Germany
| | - Niklas Wulms
- Institute of Epidemiology and Social Medicine University of Muenster Muenster Nordrhein‐Westfalen Germany
| | - Henry Völzke
- Institute for Community Medicine Department SHIP/Clinical Epidemiological Research University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
- German Centre for Cardiovascular Research (DZHK) Partner Site Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Greifswald Mecklenburg‐Vorpommern Germany
- German Centre for Neurodegenerative Diseases (DZNE) Site Rostock/Greifswald Greifswald Mecklenburg‐Vorpommern Germany
| |
Collapse
|
25
|
EEG Analysis with Wavelet Transform under Music Perception Stimulation. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:9725762. [PMID: 34956582 PMCID: PMC8694970 DOI: 10.1155/2021/9725762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 10/29/2021] [Accepted: 11/08/2021] [Indexed: 11/17/2022]
Abstract
In order to improve the classification accuracy and reliability of emotional state assessment and provide support and help for music therapy, this paper proposes an EEG analysis method based on wavelet transform under the stimulation of music perception. Using the data from the multichannel standard emotion database (DEAP), α, ß, and θ rhythms are extracted in frontal (F3 and F4), temporal (T7 and T8), and central (C3 and C4) channels with wavelet transform. EMD is performed on the extracted EEG rhythm to obtain intrinsic mode function (IMF) components, and then, the average energy and amplitude difference eigenvalues of IMF components of EEG rhythm waves are further extracted, that is, each rhythm wave contains three average energy characteristics and two amplitude difference eigenvalues so as to fully extract EEG feature information. Finally, emotional state evaluation is realized based on a support vector machine classifier. The results show that the correct rate between no emotion, positive emotion, and negative emotion can reach more than 90%. Among the pairwise classification problems among the four emotions selected, the classification accuracy obtained by this EEG feature extraction method is higher than that obtained by general feature extraction methods, which can reach about 70%. Changes in EEG α wave power were closely correlated with the polarity and intensity of emotion; α wave power varied significantly between "happiness and fear," "pleasure and fear," and "fear and sadness." It has a good application prospect in both psychological and physiological research of emotional perception and practical application.
Collapse
|
26
|
Dominguez LJ, Veronese N, Vernuccio L, Catanese G, Inzerillo F, Salemi G, Barbagallo M. Nutrition, Physical Activity, and Other Lifestyle Factors in the Prevention of Cognitive Decline and Dementia. Nutrients 2021; 13:nu13114080. [PMID: 34836334 PMCID: PMC8624903 DOI: 10.3390/nu13114080] [Citation(s) in RCA: 113] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 02/07/2023] Open
Abstract
Multiple factors combined are currently recognized as contributors to cognitive decline. The main independent risk factor for cognitive impairment and dementia is advanced age followed by other determinants such as genetic, socioeconomic, and environmental factors, including nutrition and physical activity. In the next decades, a rise in dementia cases is expected due largely to the aging of the world population. There are no hitherto effective pharmaceutical therapies to treat age-associated cognitive impairment and dementia, which underscores the crucial role of prevention. A relationship among diet, physical activity, and other lifestyle factors with cognitive function has been intensively studied with mounting evidence supporting the role of these determinants in the development of cognitive decline and dementia, which is a chief cause of disability globally. Several dietary patterns, foods, and nutrients have been investigated in this regard, with some encouraging and other disappointing results. This review presents the current evidence for the effects of dietary patterns, dietary components, some supplements, physical activity, sleep patterns, and social engagement on the prevention or delay of the onset of age-related cognitive decline and dementia.
Collapse
Affiliation(s)
- Ligia J. Dominguez
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
- Faculty of Medicine and Surgery, University of Enna “Kore”, 94100 Enna, Italy
- Correspondence: ; +39-0916554828
| | - Nicola Veronese
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Laura Vernuccio
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Giuseppina Catanese
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Flora Inzerillo
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience, and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy;
- UOC of Neurology, University Hospital “Paolo Giaccone”, 90100 Palermo, Italy
| | - Mario Barbagallo
- Geriatric Unit, Department of Medicine, University of Palermo, 90100 Palermo, Italy; (N.V.); (L.V.); (G.C.); (F.I.); (M.B.)
| |
Collapse
|
27
|
Jagirdar R, Fu CH, Park J, Corbett BF, Seibt FM, Beierlein M, Chin J. Restoring activity in the thalamic reticular nucleus improves sleep architecture and reduces Aβ accumulation in mice. Sci Transl Med 2021; 13:eabh4284. [PMID: 34731016 PMCID: PMC8985235 DOI: 10.1126/scitranslmed.abh4284] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Sleep disruptions promote increases of amyloid β (Aβ) and tau in the brain and increase Alzheimer’s disease (AD) risk, but the precise mechanisms that give rise to sleep disturbances have yet to be defined. The thalamic reticular nucleus (TRN) is essential for sleep maintenance and for the regulation of slow-wave sleep (SWS). We examined the TRN in transgenic mice that express mutant human amyloid precursor protein (APP) and found reduced neuronal activity, increased sleep fragmentation, and decreased SWS time as compared to nontransgenic littermates. Selective activation of the TRN using excitatory DREADDs restored sleep maintenance, increased time in SWS, and reduced amyloid plaque load in both hippocampus and cortex. Our findings suggest that the TRN may play a major role in symptoms associated with AD. Enhancing TRN activity might be a promising therapeutic strategy for AD.
Collapse
Affiliation(s)
- Rohan Jagirdar
- Memory and Brain Research Center, Baylor College of Medicine, Houston, TX 77030
| | - Chia-Hsuan Fu
- Memory and Brain Research Center, Baylor College of Medicine, Houston, TX 77030
| | - Jin Park
- Memory and Brain Research Center, Baylor College of Medicine, Houston, TX 77030
| | - Brian F. Corbett
- Memory and Brain Research Center, Baylor College of Medicine, Houston, TX 77030
| | - Frederik M. Seibt
- Department of Neurobiology and Anatomy, McGovern Medical School at UTHealth, Houston, TX 77030
| | - Michael Beierlein
- Department of Neurobiology and Anatomy, McGovern Medical School at UTHealth, Houston, TX 77030
| | - Jeannie Chin
- Memory and Brain Research Center, Baylor College of Medicine, Houston, TX 77030
| |
Collapse
|
28
|
Hua J, Zhuang S, Shen Y, Tang X, Sun H, Fang Q. Exploring the Bidirectional Associations Between Short or Long Sleep Duration and Lower Cognitive Function: A 7-Year Cohort Study in China. Front Aging Neurosci 2021; 13:727763. [PMID: 34690740 PMCID: PMC8528020 DOI: 10.3389/fnagi.2021.727763] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/14/2021] [Indexed: 01/17/2023] Open
Abstract
Background: Sleep duration is linked to cognitive function, but whether short or prolonged sleep duration results from impaired cognition or vice versa has been controversial in previous studies. We aimed to investigate the bidirectional association between sleep duration and cognitive function in older Chinese participants. Methods: Data were obtained from a nationally representative study conducted in China. A total of 7984 participants aged 45 years or older were assessed at baseline between June 2011 and March 2012 (Wave 1), 2013 (Wave 2), 2015 (Wave 3), and 2018 (Wave 4). Nocturnal sleep duration was evaluated using interviews. Cognitive function was examined via assessments of global cognition, including episodic memory, visuospatial construction, calculation, orientation and attention capacity. Latent growth models and cross-lagged models were used to assess the bidirectional association between sleep duration and cognitive function. Results: Among the 7,984 participants who were followed in the four waves of the study, the baseline mean (SD) age was 64.7 (8.4) years, 3862 (48.4%) were male, and 6453 (80.7%) lived in rural areas. Latent growth models showed that both sleep duration and global cognition worsened over time. Cross-lagged models indicated that short or long sleep duration in the previous wave was associated with lower global cognition in the subsequent wave (standardized β = −0.066; 95% CI: −0.073, −0.059; P < 0.001; Wave 1 to 2) and that lower global cognition in the previous wave was associated with short or long sleep duration in the subsequent wave (standardized β = −0.106; 95% CI: −0.116, −0.096; P < 0.001; Wave 1 to 2). Conclusion: There was a bidirectional association between sleep duration and cognitive function, with lower cognitive function having a stronger association with long or short sleep duration than the reverse relationship. Global cognition was likely the major driver in these reciprocal associations.
Collapse
Affiliation(s)
- Jianian Hua
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Medical College of Soochow University, Suzhou, China
| | - Sheng Zhuang
- Department of Neurology, Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Xiang Tang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hongpeng Sun
- Department of Child Health, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Qi Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| |
Collapse
|
29
|
Niu L, Zhang F, Xu X, Yang Y, Li S, Liu H, Le W. Chronic sleep deprivation altered the expression of circadian clock genes and aggravated Alzheimer's disease neuropathology. Brain Pathol 2021; 32:e13028. [PMID: 34668266 PMCID: PMC9048513 DOI: 10.1111/bpa.13028] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 09/18/2021] [Accepted: 09/27/2021] [Indexed: 01/20/2023] Open
Abstract
Circadian disruption is prevalent in Alzheimer's disease (AD) and may contribute to cognitive impairment, psychological symptoms, and neurodegeneration. This study aimed to evaluate the effects of environmental and genetic factors on the molecular clock and to establish a link between circadian rhythm disturbance and AD. We investigated the pathological effects of chronic sleep deprivation (CSD) in the APPswe/PS1ΔE9 transgenic mice and their wild‐type (WT) littermates for 2 months and evaluated the expression levels of clock genes in the circadian rhythm‐related nuclei. Our results showed that CSD impaired learning and memory, and further exaggerated disease progression in the AD mice. Furthermore, CSD caused abnormal expression of Bmal1, Clock, and Cry1 in the circadian rhythm‐related nuclei of experimental mice, and these changes are more significant in AD mice. Abnormal expression of clock genes in AD mice suggested that the expression of clock genes is affected by APP/PS1 mutations. In addition, abnormal tau phosphorylation was found in the retrosplenial cortex, which was co‐located with the alteration of BMAL1 protein level. Moreover, the level of tyrosine hydroxylase in the locus coeruleus of AD and WT mice was significantly increased after CSD. There may be a potential link between the molecular clock, Aβ pathology, tauopathy, and the noradrenergic system. The results of this study provided new insights into the potential link between the disruption of circadian rhythm and the development of AD.
Collapse
Affiliation(s)
- Long Niu
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Feng Zhang
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Xiaojiao Xu
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Yuting Yang
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Song Li
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Hui Liu
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| | - Weidong Le
- Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, China.,Department of Neurology and Institute of Neurology, Sichuan Academy of Medical Science-Sichuan Provincial Hospital, Chengdu, China
| |
Collapse
|
30
|
Abstract
Alzheimer disease (AD) is the most common type of dementia characterized by the progressive cognitive and social decline. Clinical drug targets have heavily focused on the amyloid hypothesis, with amyloid beta (Aβ), and tau proteins as key pathophysiologic markers of AD. However, no effective treatment has been developed so far, which prompts researchers to focus on other aspects of AD beyond Aβ, and tau proteins. Additionally, there is a mounting epidemiologic evidence that various environmental factors influence the development of dementia and that dementia etiology is likely heterogenous. In the past decades, new risk factors or potential etiologies have been widely studied. Here, we review several novel epidemiologic and clinical research developments that focus on sleep, hypoxia, diet, gut microbiota, and hearing impairment and their links to AD published in recent years. At the frontiers of AD research, these findings and updates could be worthy of further attention.
Collapse
|
31
|
Gonneaud J, Baria AT, Pichet Binette A, Gordon BA, Chhatwal JP, Cruchaga C, Jucker M, Levin J, Salloway S, Farlow M, Gauthier S, Benzinger TLS, Morris JC, Bateman RJ, Breitner JCS, Poirier J, Vachon-Presseau E, Villeneuve S. Accelerated functional brain aging in pre-clinical familial Alzheimer's disease. Nat Commun 2021; 12:5346. [PMID: 34504080 PMCID: PMC8429427 DOI: 10.1038/s41467-021-25492-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/06/2021] [Indexed: 01/02/2023] Open
Abstract
Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18-94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.
Collapse
Affiliation(s)
- Julie Gonneaud
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Alex T Baria
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Alexa Pichet Binette
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Brian A Gordon
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Jasmeer P Chhatwal
- Brigham and Women's Hospital-Massachusetts General Hospital, Boston, MA, USA
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Mathias Jucker
- Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Johannes Levin
- Ludwig-Maximilians-Universität München, German Center for Neurodegenerative Diseases and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Martin Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Serge Gauthier
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Tammie L S Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J Bateman
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C S Breitner
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Judes Poirier
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Etienne Vachon-Presseau
- Department of Anesthesia, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Faculty of Dentistry, McGill University, Montreal, QC, Canada
- Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada
| | - Sylvia Villeneuve
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| |
Collapse
|
32
|
New therapeutics beyond amyloid-β and tau for the treatment of Alzheimer's disease. Acta Pharmacol Sin 2021; 42:1382-1389. [PMID: 33268824 PMCID: PMC8379190 DOI: 10.1038/s41401-020-00565-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 10/25/2020] [Indexed: 02/06/2023] Open
Abstract
As the population ages, Alzheimer's disease (AD), the most common neurodegenerative disease in elderly people, will impose social and economic burdens to the world. Currently approved drugs for the treatment of AD including cholinesterase inhibitors (donepezil, rivastigmine, and galantamine) and an N-methyl-D-aspartic acid receptor antagonist (memantine) are symptomatic but poorly affect the progression of the disease. In recent decades, the concept of amyloid-β (Aβ) cascade and tau hyperphosphorylation leading to AD has dominated AD drug development. However, pharmacotherapies targeting Aβ and tau have limited success. It is generally believed that AD is caused by multiple pathological processes resulting from Aβ abnormality, tau phosphorylation, neuroinflammation, neurotransmitter dysregulation, and oxidative stress. In this review we updated the recent development of new therapeutics that regulate neurotransmitters, inflammation, lipid metabolism, autophagy, microbiota, circadian rhythm, and disease-modified genes for AD in preclinical research and clinical trials. It is to emphasize the importance of early diagnosis and multiple-target intervention, which may provide a promising outcome for AD treatment.
Collapse
|
33
|
Ma T, Wang F, Xu S, Huang JH. Meningeal immunity: Structure, function and a potential therapeutic target of neurodegenerative diseases. Brain Behav Immun 2021; 93:264-276. [PMID: 33548498 DOI: 10.1016/j.bbi.2021.01.028] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 01/14/2021] [Accepted: 01/23/2021] [Indexed: 12/25/2022] Open
Abstract
Meningeal immunity refers to immune surveillance and immune defense in the meningeal immune compartment, which depends on the unique position, structural composition of the meninges and functional characteristics of the meningeal immune cells. Recent research advances in meningeal immunity have demonstrated many new ways in which a sophisticated immune landscape affects central nervous system (CNS) function under physiological or pathological conditions. The proper function of the meningeal compartment might protect the CNS from pathogens or contribute to neurological disorders. Since the concept of meningeal immunity, especially the meningeal lymphatic system and the glymphatic system, is relatively new, we will provide a general review of the meninges' basic structural elements, organization, regulation, and functions with regards to meningeal immunity. At the same time, we will emphasize recent evidence for the role of meningeal immunity in neurodegenerative diseases. More importantly, we will speculate about the feasibility of the meningeal immune region as a drug target to provide some insights for future research of meningeal immunity.
Collapse
Affiliation(s)
- Tengyun Ma
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, PR China
| | - Fushun Wang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610060, PR China.
| | - Shijun Xu
- Institute of Meterial Medica Integration and Transformation for Brain Disorders, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, PR China; School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, PR China.
| | - Jason H Huang
- Department of Neurosurgery, Baylor Scott & White Health Center, Temple, TX 76502, United States; Department of Surgery, Texas A&M University College of Medicine, Temple, TX 76502, United States
| |
Collapse
|
34
|
Changes in electroencephalography and sleep architecture as potential electrical biomarkers for Alzheimer's disease. Chin Med J (Engl) 2021; 134:662-664. [PMID: 33625033 PMCID: PMC7989997 DOI: 10.1097/cm9.0000000000001394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
|
35
|
Kuang H, Zhu YG, Zhou ZF, Yang MW, Hong FF, Yang SL. Sleep disorders in Alzheimer's disease: the predictive roles and potential mechanisms. Neural Regen Res 2021; 16:1965-1972. [PMID: 33642368 PMCID: PMC8343328 DOI: 10.4103/1673-5374.308071] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Sleep disorders are common in patients with Alzheimer's disease, and can even occur in patients with amnestic mild cognitive impairment, which appears before Alzheimer's disease. Sleep disorders further impair cognitive function and accelerate the accumulation of amyloid-β and tau in patients with Alzheimer's disease. At present, sleep disorders are considered as a risk factor for, and may be a predictor of, Alzheimer's disease development. Given that sleep disorders are encountered in other types of dementia and psychiatric conditions, sleep-related biomarkers to predict Alzheimer's disease need to have high specificity and sensitivity. Here, we summarize the major Alzheimer's disease-specific sleep changes, including abnormal non-rapid eye movement sleep, sleep fragmentation, and sleep-disordered breathing, and describe their ability to predict the onset of Alzheimer's disease at its earliest stages. Understanding the mechanisms underlying these sleep changes is also crucial if we are to clarify the role of sleep in Alzheimer's disease. This paper therefore explores some potential mechanisms that may contribute to sleep disorders, including dysregulation of the orexinergic, glutamatergic, and γ-aminobutyric acid systems and the circadian rhythm, together with amyloid-β accumulation. This review could provide a theoretical basis for the development of drugs to treat Alzheimer's disease based on sleep disorders in future work.
Collapse
Affiliation(s)
- Huang Kuang
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
| | - Yu-Ge Zhu
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
| | - Zhi-Feng Zhou
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
| | - Mei-Wen Yang
- Department of Nurse, Nanchang University Hospital, Nanchang, Jiangxi Province, China
| | - Fen-Fang Hong
- Department of Experimental Teaching Center, Nanchang University, Nanchang, Jiangxi Province, China
| | - Shu-Long Yang
- Department of Physiology, College of Medicine, Nanchang University, Nanchang, Jiangxi Province, China
| |
Collapse
|
36
|
Toljan K, Homolak J. Circadian changes in Alzheimer's disease: Neurobiology, clinical problems, and therapeutic opportunities. HANDBOOK OF CLINICAL NEUROLOGY 2021; 179:285-300. [PMID: 34225969 DOI: 10.1016/b978-0-12-819975-6.00018-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The understanding of Alzheimer's disease (AD) pathophysiology is an active area of research, and the traditional focus on hippocampus, amyloid and tau protein, and memory impairment has been expanded with components like neuroinflammation, insulin resistance, and circadian rhythm alterations. The bidirectional vicious cycle of neuroinflammation and neurodegeneration on a molecular level may cause functional deficits already long before the appearance of overt clinical symptoms. Located at the crossroads of metabolic, circadian, and hormonal signaling, the hypothalamus has been identified as another brain region affected by AD pathophysiology. Current findings on hypothalamic dysfunction open a broader horizon for studying AD pathogenesis and offer new opportunities for diagnosis and therapy. While treatments with cholinomimetics and memantine form a first line of pharmacological treatment, additional innovative research is pursued toward the development of antiinflammatory, growth factor, or antidiabetic types of medication. Following recent epidemiological data showing associations of AD incidence with modern societal and "life-style"-related risk factors, also nonpharmacological interventions, including sleep optimization, are being developed and some have been shown to be beneficial. Circadian aspects in AD are relevant from a pathophysiological standpoint, but they can also have an important role in pharmacologic and nonpharmacologic interventions, and appropriate timing of sleep, meals, and medication may boost therapeutic efficacy.
Collapse
Affiliation(s)
- Karlo Toljan
- Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States.
| | - Jan Homolak
- Department of Pharmacology, and Croatian Institute for Brain Research, University of Zagreb School of Medicine, Zagreb, Croatia
| |
Collapse
|
37
|
Sleep/Wake Behavior and EEG Signatures of the TgF344-AD Rat Model at the Prodromal Stage. Int J Mol Sci 2020; 21:ijms21239290. [PMID: 33291462 PMCID: PMC7730237 DOI: 10.3390/ijms21239290] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/26/2020] [Accepted: 12/02/2020] [Indexed: 12/27/2022] Open
Abstract
Transgenic modification of the two most common genes (APPsw, PS1ΔE9) related to familial Alzheimer's disease (AD) in rats has produced a rodent model that develops pathognomonic signs of AD without genetic tau-protein modification. We used 17-month-old AD rats (n = 8) and age-matched controls (AC, n = 7) to evaluate differences in sleep behavior and EEG features during wakefulness (WAKE), non-rapid eye movement sleep (NREM), and rapid eye movement sleep (REM) over 24-h EEG recording (12:12h dark-light cycle). We discovered that AD rats had more sleep-wake transitions and an increased probability of shorter REM and NREM bouts. AD rats also expressed a more uniform distribution of the relative spectral power. Through analysis of information content in the EEG using entropy of difference, AD animals demonstrated less EEG information during WAKE, but more information during NREM. This seems to indicate a limited range of changes in EEG activity that could be caused by an AD-induced change in inhibitory network function as reflected by increased GABAAR-β2 expression but no increase in GAD-67 in AD animals. In conclusion, this transgenic rat model of Alzheimer's disease demonstrates less obvious EEG features of WAKE during wakefulness and less canonical features of sleep during sleep.
Collapse
|
38
|
Tai F, Wang C, Deng X, Li R, Guo Z, Quan H, Li S. Treadmill exercise ameliorates chronic REM sleep deprivation-induced anxiety-like behavior and cognitive impairment in C57BL/6J mice. Brain Res Bull 2020; 164:198-207. [PMID: 32877716 DOI: 10.1016/j.brainresbull.2020.08.025] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 07/12/2020] [Accepted: 08/22/2020] [Indexed: 10/23/2022]
Abstract
Various sleep disorders have deleterious effects on mental and cognitive performance. Exercise, as an alternative therapeutic strategy, exerts beneficial impacts on human health. In the present study, we aimed to evaluate the effects of 4 weeks treadmill exercise (4W-TE) on anxiety-like behavior and cognitive performance in mice exposed to 2 months REM sleep deprivation (2M-SD) (20 h per day). Behavioral performance of mice in elevated plus maze test (EPM), open field test (OFT), Y maze test (YM) and Morris water maze test (MWM) was recorded and analyzed 28 h after the last day of sleep deprivation. After behavioral tests, various neurotransmitters including norepinephrine (NE), dopamine (DA), serotonin (5-HT) and γ-aminobutyric acid (GABA) in mouse hippocampus were quantified using high performance liquid chromatography. The hippocampal levels of insulin-like growth factor-1 (IGF-1) and brain derived neurotrophic factor (BDNF) were further detected using ELISA. Behavioral data indicated that 2M-SD exposure induced anxiety-like behaviors and cognitive impairment, as evidenced by the decreased open-arm entries in EPM, reduced central area travels in OFT, declined spontaneous alteration in YM and prolonged escaping latency in MWM. In addition, 2M-SD exposure increased NE and DA, decreased 5-HT and GABA, and reduced IGF-1 and BDNF levels in mouse hippocampus. Interestingly, all these behavioral, neurochemical and neurobiological changes can be ameliorated by 4W-TE training. In summary, these findings confirm the beneficial impacts of exercise on health and provide further experimental evidence for future application of exercise as an alternative therapy against the mental and cognitive problems in patients with sleep disorders.
Collapse
Affiliation(s)
- Feng Tai
- School of Physical Education, Liaoning Normal University, Dalian, 116029, China
| | - Che Wang
- Department of Medicinal Chemistry, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian, 116029, China
| | - Xin Deng
- Department of Physical Education, Harbin Engineering University, Haerbin, 150001, China
| | - Ruojin Li
- Department of Medicinal Chemistry, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian, 116029, China
| | - Zimeng Guo
- School of Physical Education, Liaoning Normal University, Dalian, 116029, China
| | - Haiying Quan
- School of Physical Education, Liaoning Normal University, Dalian, 116029, China.
| | - Song Li
- Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China; Liaoning Provincial Center for Clinical Research on Neurological Diseases, the First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China.
| |
Collapse
|
39
|
Sridhar N, Shoeb A, Stephens P, Kharbouch A, Shimol DB, Burkart J, Ghoreyshi A, Myers L. Deep learning for automated sleep staging using instantaneous heart rate. NPJ Digit Med 2020; 3:106. [PMID: 32885052 PMCID: PMC7441407 DOI: 10.1038/s41746-020-0291-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 05/19/2020] [Indexed: 12/16/2022] Open
Abstract
Clinical sleep evaluations currently require multimodal data collection and manual review by human experts, making them expensive and unsuitable for longer term studies. Sleep staging using cardiac rhythm is an active area of research because it can be measured much more easily using a wide variety of both medical and consumer-grade devices. In this study, we applied deep learning methods to create an algorithm for automated sleep stage scoring using the instantaneous heart rate (IHR) time series extracted from the electrocardiogram (ECG). We trained and validated an algorithm on over 10,000 nights of data from the Sleep Heart Health Study (SHHS) and Multi-Ethnic Study of Atherosclerosis (MESA). The algorithm has an overall performance of 0.77 accuracy and 0.66 kappa against the reference stages on a held-out portion of the SHHS dataset for classifying every 30 s of sleep into four classes: wake, light sleep, deep sleep, and rapid eye movement (REM). Moreover, we demonstrate that the algorithm generalizes well to an independent dataset of 993 subjects labeled by American Academy of Sleep Medicine (AASM) licensed clinical staff at Massachusetts General Hospital that was not used for training or validation. Finally, we demonstrate that the stages predicted by our algorithm can reproduce previous clinical studies correlating sleep stages with comorbidities such as sleep apnea and hypertension as well as demographics such as age and gender.
Collapse
Affiliation(s)
| | - Ali Shoeb
- Verily Life Sciences, Mountain View, CA USA
| | | | | | | | | | | | | |
Collapse
|
40
|
Cacabelos R. Pharmacogenomics of Cognitive Dysfunction and Neuropsychiatric Disorders in Dementia. Int J Mol Sci 2020; 21:E3059. [PMID: 32357528 PMCID: PMC7246738 DOI: 10.3390/ijms21093059] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/21/2020] [Accepted: 04/21/2020] [Indexed: 02/07/2023] Open
Abstract
Symptomatic interventions for patients with dementia involve anti-dementia drugs to improve cognition, psychotropic drugs for the treatment of behavioral disorders (BDs), and different categories of drugs for concomitant disorders. Demented patients may take >6-10 drugs/day with the consequent risk for drug-drug interactions and adverse drug reactions (ADRs >80%) which accelerate cognitive decline. The pharmacoepigenetic machinery is integrated by pathogenic, mechanistic, metabolic, transporter, and pleiotropic genes redundantly and promiscuously regulated by epigenetic mechanisms. CYP2D6, CYP2C9, CYP2C19, and CYP3A4/5 geno-phenotypes are involved in the metabolism of over 90% of drugs currently used in patients with dementia, and only 20% of the population is an extensive metabolizer for this tetragenic cluster. ADRs associated with anti-dementia drugs, antipsychotics, antidepressants, anxiolytics, hypnotics, sedatives, and antiepileptic drugs can be minimized by means of pharmacogenetic screening prior to treatment. These drugs are substrates, inhibitors, or inducers of 58, 37, and 42 enzyme/protein gene products, respectively, and are transported by 40 different protein transporters. APOE is the reference gene in most pharmacogenetic studies. APOE-3 carriers are the best responders and APOE-4 carriers are the worst responders; likewise, CYP2D6-normal metabolizers are the best responders and CYP2D6-poor metabolizers are the worst responders. The incorporation of pharmacogenomic strategies for a personalized treatment in dementia is an effective option to optimize limited therapeutic resources and to reduce unwanted side-effects.
Collapse
Affiliation(s)
- Ramon Cacabelos
- EuroEspes Biomedical Research Center, International Center of Neuroscience and Genomic Medicine, 15165-Bergondo, Corunna, Spain
| |
Collapse
|
41
|
Is Sleep Disruption a Cause or Consequence of Alzheimer's Disease? Reviewing Its Possible Role as a Biomarker. Int J Mol Sci 2020; 21:ijms21031168. [PMID: 32050587 PMCID: PMC7037733 DOI: 10.3390/ijms21031168] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/07/2020] [Accepted: 02/08/2020] [Indexed: 12/21/2022] Open
Abstract
In recent years, the idea that sleep is critical for cognitive processing has gained strength. Alzheimer's disease (AD) is the most common form of dementia worldwide and presents a high prevalence of sleep disturbances. However, it is difficult to establish causal relations, since a vicious circle emerges between different aspects of the disease. Nowadays, we know that sleep is crucial to consolidate memory and to remove the excess of beta-amyloid and hyperphosphorilated tau accumulated in AD patients' brains. In this review, we discuss how sleep disturbances often precede in years some pathological traits, as well as cognitive decline, in AD. We describe the relevance of sleep to memory consolidation, focusing on changes in sleep patterns in AD in contrast to normal aging. We also analyze whether sleep alterations could be useful biomarkers to predict the risk of developing AD and we compile some sleep-related proposed biomarkers. The relevance of the analysis of the sleep microstructure is highlighted to detect specific oscillatory patterns that could be useful as AD biomarkers.
Collapse
|
42
|
He C, Hu Z, Jiang C. Sleep Disturbance: An Early Sign of Alzheimer's Disease. Neurosci Bull 2019; 36:449-451. [PMID: 31808040 DOI: 10.1007/s12264-019-00453-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 08/15/2019] [Indexed: 12/18/2022] Open
Affiliation(s)
- Chao He
- Department of Physiology, Institute of Brain and Intelligence, Third Military Medical University, Chongqing, 400038, China.
| | - Zhian Hu
- Department of Physiology, Institute of Brain and Intelligence, Third Military Medical University, Chongqing, 400038, China.
| | - Chenggang Jiang
- Department of Medical Psychology, Chongqing Health Center for Women and Children, Chongqing, 400021, China.
- Department of Sleep and Psychology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| |
Collapse
|
43
|
Sleep architecture changes in the APP23 mouse model manifest at onset of cognitive deficits. Behav Brain Res 2019; 373:112089. [PMID: 31325518 DOI: 10.1016/j.bbr.2019.112089] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/26/2019] [Accepted: 07/16/2019] [Indexed: 01/16/2023]
Abstract
Alzheimer's disease (AD), which accounts for most of the dementia cases, is, aside from cognitive deterioration, often characterized by the presence of non-cognitive symptoms such as activity and sleep disturbances. AD patients typically experience increased sleep fragmentation, excessive daytime sleepiness and night-time insomnia. Here, we sought to investigate the link between sleep architecture, cognition and amyloid pathology in the APP23 amyloidosis mouse model for AD. By means of polysomnographic recordings the sleep-wake cycle of freely-moving APP23 and wild-type (WT) littermates of 3, 6 and 12 months of age was examined. In addition, ambulatory cage activity was assessed by interruption of infrared beams surrounding the home cage. To assess visuo-spatial learning and memory a hidden-platform Morris-type Water Maze (MWM) experiment was performed. We found that sleep architecture is only slightly altered at early stages of pathology, but significantly deteriorates from 12 months of age, when amyloid plaques become diffusely present. APP23 mice of 12 months old had quantitative reductions of NREM and REM sleep and were more awake during the dark phase compared to WT littermates. These findings were confirmed by increased ambulatory cage activity during that phase of the light-dark cycle. No quantitative differences in sleep parameters were observed during the light phase. However, during this light phase, the sleep pattern of APP23 mice was more fragmented from 6 months of age, the point at which also cognitive abilities started to be affected in the MWM. Sleep time also positively correlated with MWM performance. We also found that spectral components in the EEG started to alter at the age of 6 months. To conclude, our results indicate that sleep architectural changes arise around the time the first amyloid plaques start to form and cognitive deterioration becomes apparent. These changes start subtle, but gradually worsen with age, adequately mimicking the clinical condition.
Collapse
|
44
|
Román GC, Jackson RE, Fung SH, Zhang YJ, Verma AK. Sleep-Disordered Breathing and Idiopathic Normal-Pressure Hydrocephalus: Recent Pathophysiological Advances. Curr Neurol Neurosci Rep 2019; 19:39. [PMID: 31144048 PMCID: PMC6541578 DOI: 10.1007/s11910-019-0952-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Purpose of Review Idiopathic normal-pressure hydrocephalus (iNPH) is characterized clinically by ventriculomegaly, abnormal gait, falls, incontinence, and cognitive decline. This article reviews recent advances in the pathophysiology of iNPH concerning sleep-disordered breathing (SDB) and glymphatic circulation during deep sleep. Recent Findings The authors found iNPH frequently associated with obstructive sleep apnea (OSA). A critical factor in iNPH is intracranial venous hypertension delaying drainage of cerebrospinal fluid (CSF) into the cerebral venous sinuses. CSF-venous blood circulates in the jugular veins and finally drains into the heart. During SDB, repeated reflex attempts to breathe induce strong respiratory efforts against a closed glottis thereby increasing the negative intrathoracic pressure. This causes atrial distortion and decreases venous return to the heart resulting in retrograde intracranial venous hypertension. Additionally, repeated awakenings from OSA impede sleep-associated circulation of interstitial CSF into the glymphatic circulation contributing to hydrocephalus. Summary Sleep has become a critical element in the cognitive changes of aging including iNPH.
Collapse
Affiliation(s)
- Gustavo C Román
- Department of Neurology, Methodist Neurological Institute and Houston Methodist Hospital Research Institute for Academic Medicine, Houston, TX, USA. .,Department of Neurology, Weill Cornell Medical College, Cornell University, New York, NY, USA.
| | - Robert E Jackson
- Department of Medicine, Houston Methodist Hospital and Houston Research Institute for Academic Medicine, Houston, TX, USA.,Department of Medicine, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Steve H Fung
- Department of Radiology MRI Core, Houston Methodist Hospital and Methodist Research Institute for Academic Medicine, Houston, TX, USA.,Department of Radiology Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Y Jonathan Zhang
- Department of Neurosurgery, Methodist Neurological Institute and Houston Methodist Hospital Research Institute for Academic Medicine, Houston, TX, USA.,Department of Neurosurgery, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Aparajitha K Verma
- Department of Neurology, Methodist Neurological Institute and Houston Methodist Hospital Research Institute for Academic Medicine, Houston, TX, USA.,Department of Neurology, Weill Cornell Medical College, Cornell University, New York, NY, USA.,Sleep Laboratory Houston Methodist Hospital, Houston, TX, USA
| |
Collapse
|