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Lee JE, Lee H, Baek E, Choi B, Yun HS, Yoo YK, Lee YS, Song GJ, Cho KS. The role of glial and neuronal Eph/ephrin signaling in Drosophila mushroom body development and sleep and circadian behavior. Biochem Biophys Res Commun 2024; 720:150072. [PMID: 38749187 DOI: 10.1016/j.bbrc.2024.150072] [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: 04/17/2024] [Accepted: 05/07/2024] [Indexed: 06/05/2024]
Abstract
The Eph receptor, a prototypically large receptor protein tyrosine kinase, interacts with ephrin ligands, forming a bidirectional signaling system that impacts diverse brain functions. Eph receptors and ephrins mediate forward and reverse signaling, affecting neurogenesis, axon guidance, and synaptic signaling. While mammalian studies have emphasized their roles in neurogenesis and synaptic plasticity, the Drosophila counterparts are less studied, especially in glial cells, despite structural similarities. Using RNAi to modulate Eph/ephrin expression in Drosophila neurons and glia, we studied their roles in brain development and sleep and circadian behavior. Knockdown of neuronal ephrin disrupted mushroom body development, while glial knockdown had minimal impact. Surprisingly, disrupting ephrin in neurons or glial cells altered sleep and circadian rhythms, indicating a direct involvement in these behaviors independent from developmental effects. Further analysis revealed distinct sleep phenotypes between neuronal and glial knockdowns, underscoring the intricate interplay within the neural circuits that govern behavior. Glia-specific knockdowns showed altered sleep patterns and reduced circadian rhythmicity, suggesting an intricate role of glia in sleep regulation. Our findings challenge simplistic models of Eph/ephrin signaling limited to neuron-glia communication and emphasize the complexity of the regulatory networks modulating behavior. Future investigations targeting specific glial subtypes will enhance our understanding of Eph/ephrin signaling's role in sleep regulation across species.
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Affiliation(s)
- Ji-Eun Lee
- Department of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea
| | - Hyungi Lee
- Department of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea
| | - Eunji Baek
- Department of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea
| | - Byoungyun Choi
- Department of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea
| | - Hye Sup Yun
- Department of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea
| | - Yong Kyoung Yoo
- Department of Electronic Engineering, Catholic Kwandong University, Gangneung, Gangwon-do, 25601, Republic of Korea
| | - Young-Sun Lee
- Department of Medical Science, College of Medicine, Catholic Kwandong University, Gangneung, Gangwon-do, 25601, Republic of Korea; Translational Brain Research Center, International St. Mary's Hospital, Catholic Kwandong University, Incheon, 22711, Republic of Korea
| | - Gyun Jee Song
- Department of Medical Science, College of Medicine, Catholic Kwandong University, Gangneung, Gangwon-do, 25601, Republic of Korea; Translational Brain Research Center, International St. Mary's Hospital, Catholic Kwandong University, Incheon, 22711, Republic of Korea
| | - Kyoung Sang Cho
- Department of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea; Korea Hemp Institute, Konkuk University, Seoul, 05029, Republic of Korea.
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Richter E, Patel P, Babu JR, Wang X, Geetha T. The Importance of Sleep in Overcoming Childhood Obesity and Reshaping Epigenetics. Biomedicines 2024; 12:1334. [PMID: 38927541 PMCID: PMC11201669 DOI: 10.3390/biomedicines12061334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/10/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
The development of childhood obesity is a complex process influenced by a combination of genetic predisposition and environmental factors, such as sleep, diet, physical activity, and socioeconomic status. Long-term solutions for decreasing the risk of childhood obesity remain elusive, despite significant advancements in promoting health and well-being in school and at home. Challenges persist in areas such as adherence to interventions, addressing underlying social determinants, and individual differences in response to treatment. Over the last decade, there has been significant progress in epigenetics, along with increased curiosity in gaining insights into how sleep and lifestyle decisions impact an individual's health. Epigenetic modifications affect the expression of genes without causing changes to the fundamental DNA sequence. In recent years, numerous research studies have explored the correlation between sleep and the epigenome, giving a better understanding of DNA methylation, histone modification, and non-coding RNAs. Although significant findings have been made about the influence of sleep on epigenetics, a notable gap exists in the literature concerning sleep-related genes specifically associated with childhood obesity. Consequently, it is crucial to delve deeper into this area to enhance our understanding. Therefore, this review primarily focuses on the connection between sleep patterns and epigenetic modifications in genes related to childhood obesity. Exploring the interplay between sleep, epigenetics, and childhood obesity can potentially contribute to improved overall health outcomes. This comprehensive review encompasses studies focusing on sleep-related genes linked to obesity.
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Affiliation(s)
- Erika Richter
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
| | - Priyadarshni Patel
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
| | - Jeganathan Ramesh Babu
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
- Boshell Metabolic Diseases and Diabetes Program, Auburn University, Auburn, AL 36849, USA
- Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849, USA
| | - Xu Wang
- Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849, USA
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL 36849, USA
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Thangiah Geetha
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
- Boshell Metabolic Diseases and Diabetes Program, Auburn University, Auburn, AL 36849, USA
- Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849, USA
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Xu M, Wang H, Ren S, Wang B, Yang W, Lv L, Sha X, Li W, Wang Y. Identification of crucial inflammaging related risk factors in multiple sclerosis. Front Mol Neurosci 2024; 17:1398665. [PMID: 38836117 PMCID: PMC11148336 DOI: 10.3389/fnmol.2024.1398665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 04/30/2024] [Indexed: 06/06/2024] Open
Abstract
Background Multiple sclerosis (MS) is an immune-mediated disease characterized by inflammatory demyelinating lesions in the central nervous system. Studies have shown that the inflammation is vital to both the onset and progression of MS, where aging plays a key role in it. However, the potential mechanisms on how aging-related inflammation (inflammaging) promotes MS have not been fully understood. Therefore, there is an urgent need to integrate the underlying mechanisms between inflammaging and MS, where meaningful prediction models are needed. Methods First, both aging and disease models were developed using machine learning methods, respectively. Then, an integrated inflammaging model was used to identify relative risk factors, by identifying essential "aging-inflammation-disease" triples. Finally, a series of bioinformatics analyses (including network analysis, enrichment analysis, sensitivity analysis, and pan-cancer analysis) were further used to explore the potential mechanisms between inflammaging and MS. Results A series of risk factors were identified, such as the protein homeostasis, cellular homeostasis, neurodevelopment and energy metabolism. The inflammaging indices were further validated in different cancer types. Therefore, various risk factors were integrated, and even both the theories of inflammaging and immunosenescence were further confirmed. Conclusion In conclusion, our study systematically investigated the potential relationships between inflammaging and MS through a series of computational approaches, and could present a novel thought for other aging-related diseases.
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Affiliation(s)
- Mengchu Xu
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Huize Wang
- Department of Nursing, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Siwei Ren
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Bing Wang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Wenyan Yang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Ling Lv
- Department of Thorax, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xianzheng Sha
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Wenya Li
- Department of Thorax, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yin Wang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
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Gaine ME, Bahl E, Chatterjee S, Michaelson JJ, Abel T, Lyons LC. Altered hippocampal transcriptome dynamics following sleep deprivation. Mol Brain 2021; 14:125. [PMID: 34384474 PMCID: PMC8361790 DOI: 10.1186/s13041-021-00835-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/27/2021] [Indexed: 12/13/2022] Open
Abstract
Widespread sleep deprivation is a continuing public health problem in the United States and worldwide affecting adolescents and adults. Acute sleep deprivation results in decrements in spatial memory and cognitive impairments. The hippocampus is vulnerable to acute sleep deprivation with changes in gene expression, cell signaling, and protein synthesis. Sleep deprivation also has long lasting effects on memory and performance that persist after recovery sleep, as seen in behavioral studies from invertebrates to humans. Although previous research has shown that acute sleep deprivation impacts gene expression, the extent to which sleep deprivation affects gene regulation remains unknown. Using an unbiased deep RNA sequencing approach, we investigated the effects of acute sleep deprivation on gene expression in the hippocampus. We identified 1,146 genes that were significantly dysregulated following sleep deprivation with 507 genes upregulated and 639 genes downregulated, including protein coding genes and long non-coding RNAs not previously identified as impacted by sleep deprivation. Notably, genes significantly upregulated after sleep deprivation were associated with RNA splicing and the nucleus. In contrast, downregulated genes were associated with cell adhesion, dendritic localization, the synapse, and postsynaptic membrane. Furthermore, we found through independent experiments analyzing a subset of genes that three hours of recovery sleep following acute sleep deprivation was sufficient to normalize mRNA abundance for most genes, although exceptions occurred for some genes that may affect RNA splicing or transcription. These results clearly demonstrate that sleep deprivation differentially regulates gene expression on multiple transcriptomic levels to impact hippocampal function.
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Affiliation(s)
- Marie E Gaine
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Department of Pharmaceutical Sciences and Experimental Therapeutics (PSET), College of Pharmacy, University of Iowa, Iowa City, IA, USA
| | - Ethan Bahl
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA, USA
| | - Snehajyoti Chatterjee
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Jacob J Michaelson
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
- Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA, USA
- Department of Communication Sciences and Disorders, College of Liberal Arts and Sciences, University of Iowa, Iowa City, IA, USA
- Iowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA
| | - Ted Abel
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Lisa C Lyons
- Department of Neuroscience and Pharmacology, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
- Department of Biological Science, Program in Neuroscience, Florida State University, Tallahassee, FL, USA.
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Dufort-Gervais J, Provost C, Charbonneau L, Norris CM, Calon F, Mongrain V, Brouillette J. Neuroligin-1 is altered in the hippocampus of Alzheimer's disease patients and mouse models, and modulates the toxicity of amyloid-beta oligomers. Sci Rep 2020; 10:6956. [PMID: 32332783 PMCID: PMC7181681 DOI: 10.1038/s41598-020-63255-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 03/27/2020] [Indexed: 12/19/2022] Open
Abstract
Synapse loss occurs early and correlates with cognitive decline in Alzheimer's disease (AD). Synaptotoxicity is driven, at least in part, by amyloid-beta oligomers (Aβo), but the exact synaptic components targeted by Aβo remain to be identified. We here tested the hypotheses that the post-synaptic protein Neuroligin-1 (NLGN1) is affected early in the process of neurodegeneration in the hippocampus, and specifically by Aβo, and that it can modulate Aβo toxicity. We found that hippocampal NLGN1 was decreased in patients with AD in comparison to patients with mild cognitive impairment and control subjects. Female 3xTg-AD mice also showed a decreased NLGN1 level in the hippocampus at an early age (i.e., 4 months). We observed that chronic hippocampal Aβo injections initially increased the expression of one specific Nlgn1 transcript, which was followed by a clear decrease. Lastly, the absence of NLGN1 decreased neuronal counts in the dentate gyrus, which was not the case in wild-type animals, and worsens impairment in spatial learning following chronic hippocampal Aβo injections. Our findings support that NLGN1 is impacted early during neurodegenerative processes, and that Aβo contributes to this effect. Moreover, our results suggest that the presence of NLGN1 favors the cognitive prognosis during Aβo-driven neurodegeneration.
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Affiliation(s)
- Julien Dufort-Gervais
- Department of Pharmacology and Physiology, Université de Montréal, Montréal, Québec, Canada
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal (Recherche CIUSSS-NIM), Montréal, Québec, Canada
| | - Chloé Provost
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal (Recherche CIUSSS-NIM), Montréal, Québec, Canada
| | | | - Christopher M Norris
- Department of Molecular and Biomedical Pharmacology, Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Frédéric Calon
- Neuroscience Unit, Research Center - CHU de Québec, Québec, QC, Canada
- Faculty of Pharmacy, Université Laval, Québec, QC, Canada
| | - Valérie Mongrain
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal (Recherche CIUSSS-NIM), Montréal, Québec, Canada.
- Department of Neuroscience, Université de Montréal, Montréal, Québec, Canada.
| | - Jonathan Brouillette
- Department of Pharmacology and Physiology, Université de Montréal, Montréal, Québec, Canada.
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal (Recherche CIUSSS-NIM), Montréal, Québec, Canada.
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Hannou L, Roy P, Ballester Roig MN, Mongrain V. Transcriptional control of synaptic components by the clock machinery. Eur J Neurosci 2019; 51:241-267. [DOI: 10.1111/ejn.14294] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 11/01/2018] [Accepted: 11/27/2018] [Indexed: 12/21/2022]
Affiliation(s)
- Lydia Hannou
- Center for Advanced Research in Sleep Medicine and Research CenterHôpital du Sacré‐Cœur de Montréal (CIUSSS‐NIM) Montreal Quebec Canada
- Department of PsychiatryUniversité de Montréal Montreal Quebec Canada
| | - Pierre‐Gabriel Roy
- Center for Advanced Research in Sleep Medicine and Research CenterHôpital du Sacré‐Cœur de Montréal (CIUSSS‐NIM) Montreal Quebec Canada
- Department of NeuroscienceUniversité de Montréal Montreal Quebec Canada
| | - Maria Neus Ballester Roig
- Center for Advanced Research in Sleep Medicine and Research CenterHôpital du Sacré‐Cœur de Montréal (CIUSSS‐NIM) Montreal Quebec Canada
- Department of NeuroscienceUniversité de Montréal Montreal Quebec Canada
| | - Valérie Mongrain
- Center for Advanced Research in Sleep Medicine and Research CenterHôpital du Sacré‐Cœur de Montréal (CIUSSS‐NIM) Montreal Quebec Canada
- Department of NeuroscienceUniversité de Montréal Montreal Quebec Canada
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Seok BS, Cao F, Bélanger-Nelson E, Provost C, Gibbs S, Jia Z, Mongrain V. The effect of Neuroligin-2 absence on sleep architecture and electroencephalographic activity in mice. Mol Brain 2018; 11:52. [PMID: 30231918 PMCID: PMC6146600 DOI: 10.1186/s13041-018-0394-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 09/06/2018] [Indexed: 02/06/2023] Open
Abstract
Sleep disorders are comorbid with most psychiatric disorders, but the link between these is not well understood. Neuroligin-2 (NLGN2) is a cell adhesion molecule that plays roles in synapse formation and neurotransmission. Moreover, NLGN2 has been associated with psychiatric disorders, but its implication in sleep remains underexplored. In the present study, the effect of Nlgn2 knockout (Nlgn2−/−) on sleep architecture and electroencephalographic (EEG) activity in mice has been investigated. The EEG and electromyogram (EMG) were recorded in Nlgn2−/− mice and littermates for 24 h from which three vigilance states (i.e., wakefulness, rapid eye movement [REM] sleep, non-REM [NREM] sleep) were visually identified. Spectral analysis of the EEG was performed for the three states. Nlgn2−/− mice showed more wakefulness and less NREM and REM sleep compared to wild-type (Nlgn2+/+) mice, especially during the dark period. This was accompanied by changes in the number and duration of individual episodes of wakefulness and sleep, indexing changes in state consolidation, as well as widespread changes in EEG spectral activity in all states. Abnormal ‘hypersynchronized’ EEG events have also been observed predominantly in Nlgn2−/− mice. These events were mainly observed during wakefulness and REM sleep. In addition, Nlgn2−/− mice showed alterations in the daily time course of NREM sleep delta (1–4 Hz) activity, pointing to modifications in the dynamics of sleep homeostasis. These data suggest that NLGN2 participates in the regulation of sleep duration as well as EEG activity during wakefulness and sleep.
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Affiliation(s)
- Bong Soo Seok
- Research Center and Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal (CIUSSS-NIM), 5400 Gouin West blvd, Montréal, QC, H4J 1C5, Canada.,Department of Neuroscience, Université de Montréal, 2960 chemin de la Tour, Montreal, QC, H3T 1J4, Canada
| | | | - Erika Bélanger-Nelson
- Research Center and Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal (CIUSSS-NIM), 5400 Gouin West blvd, Montréal, QC, H4J 1C5, Canada
| | - Chloé Provost
- Research Center and Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal (CIUSSS-NIM), 5400 Gouin West blvd, Montréal, QC, H4J 1C5, Canada
| | - Steve Gibbs
- Research Center and Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal (CIUSSS-NIM), 5400 Gouin West blvd, Montréal, QC, H4J 1C5, Canada.,Department of Neuroscience, Université de Montréal, 2960 chemin de la Tour, Montreal, QC, H3T 1J4, Canada
| | | | - Valérie Mongrain
- Research Center and Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal (CIUSSS-NIM), 5400 Gouin West blvd, Montréal, QC, H4J 1C5, Canada. .,Department of Neuroscience, Université de Montréal, 2960 chemin de la Tour, Montreal, QC, H3T 1J4, Canada.
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Cooper JM, Halter KA, Prosser RA. Circadian rhythm and sleep-wake systems share the dynamic extracellular synaptic milieu. Neurobiol Sleep Circadian Rhythms 2018; 5:15-36. [PMID: 31236509 PMCID: PMC6584685 DOI: 10.1016/j.nbscr.2018.04.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 03/06/2018] [Accepted: 04/10/2018] [Indexed: 01/23/2023] Open
Abstract
The mammalian circadian and sleep-wake systems are closely aligned through their coordinated regulation of daily activity patterns. Although they differ in their anatomical organization and physiological processes, they utilize overlapping regulatory mechanisms that include an assortment of proteins and molecules interacting within the extracellular space. These extracellular factors include proteases that interact with soluble proteins, membrane-attached receptors and the extracellular matrix; and cell adhesion molecules that can form complex scaffolds connecting adjacent neurons, astrocytes and their respective intracellular cytoskeletal elements. Astrocytes also participate in the dynamic regulation of both systems through modulating neuronal appositions, the extracellular space and/or through release of gliotransmitters that can further contribute to the extracellular signaling processes. Together, these extracellular elements create a system that integrates rapid neurotransmitter signaling across longer time scales and thereby adjust neuronal signaling to reflect the daily fluctuations fundamental to both systems. Here we review what is known about these extracellular processes, focusing specifically on areas of overlap between the two systems. We also highlight questions that still need to be addressed. Although we know many of the extracellular players, far more research is needed to understand the mechanisms through which they modulate the circadian and sleep-wake systems.
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Key Words
- ADAM, A disintegrin and metalloproteinase
- AMPAR, AMPA receptor
- Astrocytes
- BDNF, brain-derived neurotrophic factor
- BMAL1, Brain and muscle Arnt-like-1 protein
- Bmal1, Brain and muscle Arnt-like-1 gene
- CAM, cell adhesion molecules
- CRY, cryptochrome protein
- Cell adhesion molecules
- Circadian rhythms
- Cry, cryptochrome gene
- DD, dark-dark
- ECM, extracellular matrix
- ECS, extracellular space
- EEG, electroencephalogram
- Endo N, endoneuraminidase N
- Extracellular proteases
- GFAP, glial fibrillary acidic protein
- IL, interleukin
- Ig, immunoglobulin
- LC, locus coeruleus
- LD, light-dark
- LH, lateral hypothalamus
- LRP-1, low density lipoprotein receptor-related protein 1
- LTP, long-term potentiation
- MMP, matrix metalloproteinases
- NCAM, neural cell adhesion molecule protein
- NMDAR, NMDA receptor
- NO, nitric oxide
- NST, nucleus of the solitary tract
- Ncam, neural cell adhesion molecule gene
- Nrl, neuroligin gene
- Nrx, neurexin gene
- P2, purine type 2 receptor
- PAI-1, plasminogen activator inhibitor-1
- PER, period protein
- PPT, peduculopontine tegmental nucleus
- PSA, polysialic acid
- Per, period gene
- REMS, rapid eye movement sleep
- RSD, REM sleep disruption
- SCN, suprachiasmatic nucleus
- SWS, slow wave sleep
- Sleep-wake system
- Suprachiasmatic nucleus
- TNF, tumor necrosis factor
- TTFL, transcriptional-translational negative feedback loop
- VIP, vasoactive intestinal polypeptide
- VLPO, ventrolateral preoptic
- VP, vasopressin
- VTA, ventral tegmental area
- dNlg4, drosophila neuroligin-4 gene
- nNOS, neuronal nitric oxide synthase gene
- nNOS, neuronal nitric oxide synthase protein
- tPA, tissue-type plasminogen activator
- uPA, urokinase-type plasminogen activator
- uPAR, uPA receptor
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Abstract
Sleep deprivation disrupts the lives of millions of people every day and has a profound impact on the molecular biology of the brain. These effects begin as changes within a neuron, at the DNA and RNA level, and result in alterations in neuronal plasticity and dysregulation of many cognitive functions including learning and memory. The epigenome plays a critical role in regulating gene expression in the context of memory storage. In this review article, we begin by describing the effects of epigenetic alterations on the regulation of gene expression, focusing on the most common epigenetic mechanisms: (i) DNA methylation; (ii) histone modifications; and (iii) non-coding RNAs. We then discuss evidence suggesting that sleep loss impacts the epigenome and that these epigenetic alterations might mediate the changes in cognition seen following disruption of sleep. The link between sleep and the epigenome is only beginning to be elucidated, but clear evidence exists that epigenetic alterations occur following sleep deprivation. In the future, these changes to the epigenome could be utilized as biomarkers of sleep loss or as therapeutic targets for sleep-related disorders.
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Affiliation(s)
- Marie E Gaine
- Department of Molecular Physiology and Biophysics, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Snehajyoti Chatterjee
- Department of Molecular Physiology and Biophysics, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Ted Abel
- Department of Molecular Physiology and Biophysics, Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
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10
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Takahashi H, Matsuda K, Tabuchi K, Ko J. Central synapse, neural circuit, and brain function. Neurosci Res 2017; 116:1-2. [PMID: 28364859 DOI: 10.1016/j.neures.2017.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Hideto Takahashi
- Synapse Development and Plasticity, Institut de Recherches Cliniques de Montréal (IRCM), Montreal, Quebec, H2W 1R7, Canada.
| | - Keiko Matsuda
- Department of Neurophysiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, 160-8582, Japan
| | - Katsuhiko Tabuchi
- Department of Molecular & Cellular Physiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto 390-8621, Japan; Institute for Biomedical Sciences, Interdisciplinary Cluster for Cutting Edge Research, Shinshu University, Matsumoto 390-8621, Japan
| | - Jaewon Ko
- Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
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