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Beydoun MA, Tate R, Georgescu MF, Gamaldo AA, Maino Vieytes CA, Beydoun HA, Noren Hooten N, Evans MK, Zonderman AB. Poor sleep quality, dementia status and their association with all-cause mortality among older US adults. Aging (Albany NY) 2024; 16:12138-12167. [PMID: 39237306 PMCID: PMC11424588 DOI: 10.18632/aging.206102] [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: 01/23/2024] [Accepted: 08/20/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND Evidence points to associations between sleep quality, dementia, and mortality. We examined whether poor sleep quality mediated or moderated the association between dementia and mortality risk among older US adults and vice versa, and whether these associations differed by sex and by race. METHODS The study investigated bi-directional associations between sleep quality, dementia and mortality in older US adults using data from the Health and Retirement Study (N = 6,991, mean age = 78.1y, follow-up: 2006-2020, number of deaths = 4,938). It tested interactions and mediating effects, using Cox proportional hazards models and four-way decomposition models. RESULTS Poor sleep quality was associated with increased mortality risk, particularly among male and White older adults. However, the association was reversed in the fully adjusted model, with a 7% decrease in risk per tertile. Probable dementia was associated with a two-fold increase in mortality risk, with a stronger association found among White adults. The association was markedly attenuated in the fully adjusted models. Sleep quality-stratified models showed a stronger positive association between dementia and mortality among individuals with better sleep quality. Both mediation and interaction were involved in explaining the total effects under study, though statistically significant total effects were mainly composed of controlled direct effects. CONCLUSIONS Poor sleep quality is directly related to mortality risk before lifestyle and health-related factors are adjusted. Dementia is linked to mortality risk, especially in individuals with better sleep quality, males, and White older adults. Future research should explore the underlying mechanisms.
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Affiliation(s)
- May A. Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Rio Tate
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Michael F. Georgescu
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Alyssa A. Gamaldo
- Department of Psychology, Clemson University, Clemson, SC 29634, USA
| | - Christian A. Maino Vieytes
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Hind A. Beydoun
- Department of Veterans Affairs, VA National Center on Homelessness Among Veterans, Washington, DC 20420, USA
- Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Michele K. Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA
| | - Alan B. Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, NIA/NIH/IRP, Baltimore, MD 21224, USA
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Galion AW, Farmer JG, Connolly HV, Allhusen VD, Bennett A, Coury DL, Lam J, Neumeyer AM, Sohl K, Witmans M, Malow BA. A Practice Pathway for the Treatment of Night Wakings in Children with Autism Spectrum Disorder. J Autism Dev Disord 2024; 54:2926-2945. [PMID: 37358787 PMCID: PMC11300650 DOI: 10.1007/s10803-023-06026-2] [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] [Accepted: 05/26/2023] [Indexed: 06/27/2023]
Abstract
Children with autism spectrum disorder (ASD) report high rates of sleep problems. In 2012, the Autism Treatment Network/ Autism Intervention Research Network on Physical Health (ATN/AIR-P) Sleep Committee developed a pathway to address these concerns. Since its publication, ATN/AIR-P clinicians and parents have identified night wakings as a refractory problem unaddressed by the pathway. We reviewed the existing literature and identified 76 scholarly articles that provided data on night waking in children with ASD. Based on the available literature, we propose an updated practice pathway to identify and treat night wakings in children with ASD.
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Affiliation(s)
- Anjalee W Galion
- Division of Neurology, Children's Hospital of Orange County, 1201 W. La Veta Avenue, Orange, CA, 92868, USA.
| | - Justin G Farmer
- Massachusetts General Hospital for Children, Boston, MA, USA
| | | | - Virginia D Allhusen
- Division of Neurology, Children's Hospital of Orange County, 1201 W. La Veta Avenue, Orange, CA, 92868, USA
| | - Amanda Bennett
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Janet Lam
- Kennedy Krieger Institute, Baltimore, MD, USA
| | - Ann M Neumeyer
- Massachusetts General Hospital for Children, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kristin Sohl
- University of Missouri School of Medicine, Columbia, MO, USA
| | | | - Beth A Malow
- Vanderbilt University Medical Center, Nashville, TN, USA
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3
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Marsh B, Navas-Zuloaga MG, Rosen BQ, Sokolov Y, Delanois JE, Gonzalez OC, Krishnan GP, Halgren E, Bazhenov M. Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain. PLoS Comput Biol 2024; 20:e1012245. [PMID: 39028760 PMCID: PMC11290683 DOI: 10.1371/journal.pcbi.1012245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 07/31/2024] [Accepted: 06/11/2024] [Indexed: 07/21/2024] Open
Abstract
Slow-wave sleep (SWS), characterized by slow oscillations (SOs, <1Hz) of alternating active and silent states in the thalamocortical network, is a primary brain state during Non-Rapid Eye Movement (NREM) sleep. In the last two decades, the traditional view of SWS as a global and uniform whole-brain state has been challenged by a growing body of evidence indicating that SO can be local and can coexist with wake-like activity. However, the mechanisms by which global and local SOs arise from micro-scale neuronal dynamics and network connectivity remain poorly understood. We developed a multi-scale, biophysically realistic human whole-brain thalamocortical network model capable of transitioning between the awake state and SWS, and we investigated the role of connectivity in the spatio-temporal dynamics of sleep SO. We found that the overall strength and a relative balance between long and short-range synaptic connections determined the network state. Importantly, for a range of synaptic strengths, the model demonstrated complex mixed SO states, where periods of synchronized global slow-wave activity were intermittent with the periods of asynchronous local slow-waves. An increase in the overall synaptic strength led to synchronized global SO, while a decrease in synaptic connectivity produced only local slow-waves that would not propagate beyond local areas. These results were compared to human data to validate probable models of biophysically realistic SO. The model producing mixed states provided the best match to the spatial coherence profile and the functional connectivity estimated from human subjects. These findings shed light on how the spatio-temporal properties of SO emerge from local and global cortical connectivity and provide a framework for further exploring the mechanisms and functions of SWS in health and disease.
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Affiliation(s)
- Brianna Marsh
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
| | - M. Gabriela Navas-Zuloaga
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Burke Q. Rosen
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
| | - Yury Sokolov
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Jean Erik Delanois
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, United States of America
| | - Oscar C. Gonzalez
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Giri P. Krishnan
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
| | - Eric Halgren
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
- Departments of Radiology and Neuroscience, University of California San Diego, La Jolla, California, United States of America
| | - Maxim Bazhenov
- Department of Medicine, University of California San Diego, La Jolla, California, United States of America
- Neuroscience Graduate Program, University of California San Diego, La Jolla, California, United States of America
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Goda A, Nakano H, Kikuchi Y, Mori K, Mitsumaru N, Murata S. Association between Subjective Cognitive Complaints and Sleep Disturbance among Community-Dwelling Elderly Individuals in Japan. Healthcare (Basel) 2024; 12:1245. [PMID: 38998780 PMCID: PMC11241042 DOI: 10.3390/healthcare12131245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 05/23/2024] [Accepted: 06/21/2024] [Indexed: 07/14/2024] Open
Abstract
Subjective cognitive complaints (SCCs) are a crucial modifiable risk factor for dementia. There is increasing interest in the association between SCC and sleep disturbance; however, the effects of sleep disturbance on SCC development among community-dwelling elderly individuals in Japan remain unclear. We aimed to cross-sectionally investigate the association between SCC and sleep disturbance, with adjustment for multiple factors related to cognitive decline, among 241 community-dwelling elderly persons without cognitive impairment. The measures were SCCs (Kihon Checklist-Cognitive Function, KCL-CF), sleep disturbance (Japanese version of the Athens Insomnia Scale, AIS-J), general cognitive function (Mini-Mental State Examination), and depressive symptoms (five-item version of the Geriatric Depression Scale [GDS-5]). The following data were collected: sex, age, educational history, whether the participants had visited a medical institution for diseases (hypertension, diabetes, hyperlipidemia, heart disease), and the presence/absence of established risk factors (hearing loss, history of head injury, drinking habits, smoking habits, social isolation, and physical inactivity and activity). Based on the KCL-CF, 96 and 145 participants were considered to have and lack SCCs, respectively. On logistic regression analysis, the AIS-J score and smoking history were significantly associated with SCCs. Our findings suggest that sleep disturbance is associated with SCC development among community-dwelling elderly people in Japan. Evaluating and managing sleep disturbances can be important in preventing SCCs and dementia.
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Affiliation(s)
- Akio Goda
- Hokuriku University Well-Being Research Team, Department of Physical Therapy, Faculty of Health and Medical Science, Hokuriku University, Kanazawa 920-1180, Japan
| | - Hideki Nakano
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan
| | - Yuki Kikuchi
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan
| | - Kohei Mori
- Faculty of Allied Health Sciences, Kansai University of Welfare Sciences, Kashiwara 582-0026, Japan
| | | | - Shin Murata
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan
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Angelakos CC, Girven KS, Liu Y, Gonzalez OC, Murphy KR, Jennings KJ, Giardino WJ, Zweifel LS, Suko A, Palmiter RD, Clark SD, Krasnow MA, Bruchas MR, de Lecea L. A cluster of neuropeptide S neurons regulates breathing and arousal. Curr Biol 2023; 33:5439-5455.e7. [PMID: 38056461 PMCID: PMC10842921 DOI: 10.1016/j.cub.2023.11.018] [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: 03/22/2023] [Revised: 08/31/2023] [Accepted: 11/08/2023] [Indexed: 12/08/2023]
Abstract
Neuropeptide S (NPS) is a highly conserved peptide found in all tetrapods that functions in the brain to promote heightened arousal; however, the subpopulations mediating these phenomena remain unknown. We generated mice expressing Cre recombinase from the Nps gene locus (NpsCre) and examined populations of NPS+ neurons in the lateral parabrachial area (LPBA), the peri-locus coeruleus (peri-LC) region of the pons, and the dorsomedial thalamus (DMT). We performed brain-wide mapping of input and output regions of NPS+ clusters and characterized expression patterns of the NPS receptor 1 (NPSR1). While the activity of all three NPS+ subpopulations tracked with vigilance state, only NPS+ neurons of the LPBA exhibited both increased activity prior to wakefulness and decreased activity during REM sleep, similar to the behavioral phenotype observed upon NPSR1 activation. Accordingly, we found that activation of the LPBA but not the peri-LC NPS+ neurons increased wake and reduced REM sleep. Furthermore, given the extended role of the LPBA in respiration and the link between behavioral arousal and breathing rate, we demonstrated that the LPBA but not the peri-LC NPS+ neuronal activation increased respiratory rate. Together, our data suggest that NPS+ neurons of the LPBA represent an unexplored subpopulation regulating breathing, and they are sufficient to recapitulate the sleep/wake phenotypes observed with broad NPS system activation.
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Affiliation(s)
- Christopher Caleb Angelakos
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Kasey S Girven
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; University of Washington Center for the Neurobiology of Addiction, Pain, and Emotion, Seattle, WA 98195, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA
| | - Yin Liu
- Department of Biochemistry, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Oscar C Gonzalez
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Keith R Murphy
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Kim J Jennings
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - William J Giardino
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA
| | - Larry S Zweifel
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA
| | - Azra Suko
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; University of Washington Center for the Neurobiology of Addiction, Pain, and Emotion, Seattle, WA 98195, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA
| | - Richard D Palmiter
- Department of Biochemistry, Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Stewart D Clark
- Department of Pharmacology and Toxicology, State University of New York at Buffalo, Buffalo, NY 14214, USA
| | - Mark A Krasnow
- Department of Biochemistry, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA
| | - Michael R Bruchas
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA; University of Washington Center for the Neurobiology of Addiction, Pain, and Emotion, Seattle, WA 98195, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA
| | - Luis de Lecea
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.
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Lucarini V, Alouit A, Yeh D, Le Coq J, Savatte R, Charre M, Louveau C, Houamri MB, Penaud S, Gaston-Bellegarde A, Rio S, Drouet L, Elbaz M, Becchio J, Pourchet S, Pruvost-Robieux E, Marchi A, Moyal M, Lefebvre A, Chaumette B, Grice M, Lindberg PG, Dupin L, Piolino P, Lemogne C, Léger D, Gavaret M, Krebs MO, Iftimovici A. Neurophysiological explorations across the spectrum of psychosis, autism, and depression, during wakefulness and sleep: protocol of a prospective case-control transdiagnostic multimodal study (DEMETER). BMC Psychiatry 2023; 23:860. [PMID: 37990173 PMCID: PMC10662684 DOI: 10.1186/s12888-023-05347-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 11/03/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Quantitative electroencephalography (EEG) analysis offers the opportunity to study high-level cognitive processes across psychiatric disorders. In particular, EEG microstates translate the temporal dynamics of neuronal networks throughout the brain. Their alteration may reflect transdiagnostic anomalies in neurophysiological functions that are impaired in mood, psychosis, and autism spectrum disorders, such as sensorimotor integration, speech, sleep, and sense of self. The main questions this study aims to answer are as follows: 1) Are EEG microstate anomalies associated with clinical and functional prognosis, both in resting conditions and during sleep, across psychiatric disorders? 2) Are EEG microstate anomalies associated with differences in sensorimotor integration, speech, sense of self, and sleep? 3) Can the dynamic of EEG microstates be modulated by a non-drug intervention such as light hypnosis? METHODS This prospective cohort will include a population of adolescents and young adults, aged 15 to 30 years old, with ultra-high-risk of psychosis (UHR), first-episode psychosis (FEP), schizophrenia (SCZ), autism spectrum disorder (ASD), and major depressive disorder (MDD), as well as healthy controls (CTRL) (N = 21 × 6), who will be assessed at baseline and after one year of follow-up. Participants will undergo deep phenotyping based on psychopathology, neuropsychological assessments, 64-channel EEG recordings, and biological sampling at the two timepoints. At baseline, the EEG recording will also be coupled to a sensorimotor task and a recording of the characteristics of their speech (prosody and turn-taking), a one-night polysomnography, a self-reference effect task in virtual reality (only in UHR, FEP, and CTRL). An interventional ancillary study will involve only healthy controls, in order to assess whether light hypnosis can modify the EEG microstate architecture in a direction opposite to what is seen in disease. DISCUSSION This transdiagnostic longitudinal case-control study will provide a multimodal neurophysiological assessment of clinical dimensions (sensorimotor integration, speech, sleep, and sense of self) that are disrupted across mood, psychosis, and autism spectrum disorders. It will further test the relevance of EEG microstates as dimensional functional biomarkers. TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT06045897.
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Affiliation(s)
- Valeria Lucarini
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", GDR 3557-Institut de Psychiatrie, 102-108 Rue de la Santé, Paris, 75014, France
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Anaëlle Alouit
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Stroke: from prognostic determinants and translational research to personalized interventions", Paris, 75014, France
| | - Delphine Yeh
- Laboratoire Mémoire, Cerveau et Cognition, UR7536, Université Paris Cité, Boulogne-Billancourt, F-92100, France
| | - Jeanne Le Coq
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Romane Savatte
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Mylène Charre
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Cécile Louveau
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Meryem Benlaifa Houamri
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Sylvain Penaud
- Laboratoire Mémoire, Cerveau et Cognition, UR7536, Université Paris Cité, Boulogne-Billancourt, F-92100, France
| | - Alexandre Gaston-Bellegarde
- Laboratoire Mémoire, Cerveau et Cognition, UR7536, Université Paris Cité, Boulogne-Billancourt, F-92100, France
| | - Stéphane Rio
- Centre du Sommeil et de la Vigilance, AP-HP, Hôtel-Dieu, Paris, France
| | - Laurent Drouet
- Centre du Sommeil et de la Vigilance, AP-HP, Hôtel-Dieu, Paris, France
| | - Maxime Elbaz
- Centre du Sommeil et de la Vigilance, AP-HP, Hôtel-Dieu, Paris, France
| | - Jean Becchio
- Collège International de Thérapies d'orientation de l'Attention et de la Conscience (CITAC), Paris, France
| | - Sylvain Pourchet
- Collège International de Thérapies d'orientation de l'Attention et de la Conscience (CITAC), Paris, France
| | - Estelle Pruvost-Robieux
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Stroke: from prognostic determinants and translational research to personalized interventions", Paris, 75014, France
- Service de Neurophysiologie Clinique, GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - Angela Marchi
- Epileptology and Cerebral Rhythmology, APHM, Timone Hospital, Marseille, France
| | - Mylène Moyal
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", GDR 3557-Institut de Psychiatrie, 102-108 Rue de la Santé, Paris, 75014, France
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Aline Lefebvre
- Department of Child and Adolescent Psychiatry, Fondation Vallee, UNIACT Neurospin CEA - INSERM UMR 1129, Universite Paris Saclay, Gentilly, France
| | - Boris Chaumette
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", GDR 3557-Institut de Psychiatrie, 102-108 Rue de la Santé, Paris, 75014, France
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Martine Grice
- IfL-Phonetics, University of Cologne, Cologne, Germany
| | - Påvel G Lindberg
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Stroke: from prognostic determinants and translational research to personalized interventions", Paris, 75014, France
| | - Lucile Dupin
- INCC UMR 8002, CNRS, Université Paris Cité, Paris, F-75006, France
| | - Pascale Piolino
- Laboratoire Mémoire, Cerveau et Cognition, UR7536, Université Paris Cité, Boulogne-Billancourt, F-92100, France
| | - Cédric Lemogne
- Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), Service de Psychiatrie de l'adulte, AP-HP, Hôpital Hôtel-Dieu, Université Paris Cité and Université Sorbonne Paris Nord, Paris, France
| | - Damien Léger
- Centre du Sommeil et de la Vigilance, AP-HP, Hôtel-Dieu, Paris, France
- VIFASOM, ERC 7330, Université Paris Cité, Paris, France
| | - Martine Gavaret
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Stroke: from prognostic determinants and translational research to personalized interventions", Paris, 75014, France
- Service de Neurophysiologie Clinique, GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - Marie-Odile Krebs
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", GDR 3557-Institut de Psychiatrie, 102-108 Rue de la Santé, Paris, 75014, France
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France
| | - Anton Iftimovici
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", GDR 3557-Institut de Psychiatrie, 102-108 Rue de la Santé, Paris, 75014, France.
- GHU Paris Psychiatrie et Neurosciences, Pôle Hospitalo-Universitaire d'évaluation, Prévention, et Innovation Thérapeutique (PEPIT), Paris, France.
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Larsen M, He F, Kawasawa YI, Berg A, Vgontzas AN, Liao D, Bixler EO, Fernandez-Mendoza J. Objective and subjective measures of sleep initiation are differentially associated with DNA methylation in adolescents. Clin Epigenetics 2023; 15:136. [PMID: 37634000 PMCID: PMC10464279 DOI: 10.1186/s13148-023-01553-2] [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: 01/19/2023] [Accepted: 08/14/2023] [Indexed: 08/28/2023] Open
Abstract
INTRODUCTION The onset of puberty is associated with a shift in the circadian timing of sleep, leading to delayed sleep initiation [i.e., later sleep onset time (SOT)] due to later bedtimes and/or longer sleep onset latency (SOL). Several genome-wide association studies (GWAS) have identified genes that may be involved in the etiology of sleep phenotypes. However, circadian rhythms are also epigenetically regulated; therefore, epigenetic biomarkers may provide insight into the physiology of the pubertal sleep onset shift and the pathophysiology of prolonged or delayed sleep initiation. RESULTS The gene-wide analysis indicated differential methylation within or around 1818 unique genes across the sleep initiation measurements using self-report, actigraphy (ACT), and polysomnography (PSG), while GWAS-informed analysis yielded 67 genes. Gene hits were identified for bedtime (PSG), SOL (subjective, ACT and PSG) and SOT (subjective and PSG). DNA methylation within 12 genes was associated with both subjective and PSG-measured SOL, 31 with both ACT- and PSG-measured SOL, 19 with both subjective and ACT-measured SOL, and one gene (SMG1P2) had methylation sites associated with subjective, ACT- and PSG-measured SOL. CONCLUSIONS Objective and subjective sleep initiation in adolescents is associated with altered DNA methylation in genes previously identified in adult GWAS of sleep and circadian phenotypes. Additionally, our data provide evidence for a potential epigenetic link between habitual (subjective and ACT) SOL and in-lab SOT and DNA methylation in and around genes involved in circadian regulation (i.e., RASD1, RAI1), cardiometabolic disorders (i.e., FADS1, WNK1, SLC5A6), and neuropsychiatric disorders (i.e., PRR7, SDK1, FAM172A). If validated, these sites may provide valuable targets for early detection and prevention of disorders involving prolonged or delayed SOT, such as insomnia, delayed sleep phase, and their comorbidity.
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Affiliation(s)
- Michael Larsen
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Fan He
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Yuka Imamura Kawasawa
- Departments of Biochemistry and Molecular Biology and Pharmacology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Arthur Berg
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Alexandros N Vgontzas
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Duanping Liao
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Edward O Bixler
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Julio Fernandez-Mendoza
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.
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8
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Holter KM, Pierce BE, Gould RW. Metabotropic glutamate receptor function and regulation of sleep-wake cycles. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 168:93-175. [PMID: 36868636 DOI: 10.1016/bs.irn.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Metabotropic glutamate (mGlu) receptors are the most abundant family of G-protein coupled receptors and are widely expressed throughout the central nervous system (CNS). Alterations in glutamate homeostasis, including dysregulations in mGlu receptor function, have been indicated as key contributors to multiple CNS disorders. Fluctuations in mGlu receptor expression and function also occur across diurnal sleep-wake cycles. Sleep disturbances including insomnia are frequently comorbid with neuropsychiatric, neurodevelopmental, and neurodegenerative conditions. These often precede behavioral symptoms and/or correlate with symptom severity and relapse. Chronic sleep disturbances may also be a consequence of primary symptom progression and can exacerbate neurodegeneration in disorders including Alzheimer's disease (AD). Thus, there is a bidirectional relationship between sleep disturbances and CNS disorders; disrupted sleep may serve as both a cause and a consequence of the disorder. Importantly, comorbid sleep disturbances are rarely a direct target of primary pharmacological treatments for neuropsychiatric disorders even though improving sleep can positively impact other symptom clusters. This chapter details known roles of mGlu receptor subtypes in both sleep-wake regulation and CNS disorders focusing on schizophrenia, major depressive disorder, post-traumatic stress disorder, AD, and substance use disorder (cocaine and opioid). In this chapter, preclinical electrophysiological, genetic, and pharmacological studies are described, and, when possible, human genetic, imaging, and post-mortem studies are also discussed. In addition to reviewing the important relationships between sleep, mGlu receptors, and CNS disorders, this chapter highlights the development of selective mGlu receptor ligands that hold promise for improving both primary symptoms and sleep disturbances.
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Affiliation(s)
- Kimberly M Holter
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Bethany E Pierce
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Robert W Gould
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
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9
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Zhang B, Zhan S, Zhou J, Liu X, Liang H. Editorial: Interaction between neuropsychiatry and sleep disorders: From mechanism to clinical practice. Front Neurol 2022; 13:1070040. [PMID: 36570443 PMCID: PMC9773980 DOI: 10.3389/fneur.2022.1070040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/17/2022] [Indexed: 12/13/2022] Open
Affiliation(s)
- Bin Zhang
- Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China,*Correspondence: Bin Zhang
| | - Shuqin Zhan
- Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Junying Zhou
- Sleep Medicine Center, West China Hospital, Sichuan University, Chengdu, China,Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Xianchen Liu
- Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Huajun Liang
- Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
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10
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Muacevic A, Adler JR, Boike S, Kashyap R, Khan SA, Surani S. Nutritional Elements in Sleep. Cureus 2022; 14:e32803. [PMID: 36694494 PMCID: PMC9859770 DOI: 10.7759/cureus.32803] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
Sleep comprises one-third of our day and plays an integral role in human health and well-being. Many factors influence sleep, with nutrition being a key element that impacts various sleep parameters. Meal-timing through strategies like chrono-nutrition leads to positive sleep outcomes. In addition, consuming a high-protein diet with essential amino acids, low-glycemic-index foods, and certain fruits rich in antioxidants can all contribute to better sleep quality. Other facets of nutrition that can affect sleep outcomes include weight loss and limiting certain nutritional elements such as caffeine, nicotine, and alcohol. In this article, we will shed some light on how some of these factors can play a vital role in sleep quality.
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11
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Lefter R, Cojocariu RO, Ciobica A, Balmus IM, Mavroudis I, Kis A. Interactions between Sleep and Emotions in Humans and Animal Models. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:274. [PMID: 35208598 PMCID: PMC8877042 DOI: 10.3390/medicina58020274] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/31/2022] [Accepted: 02/09/2022] [Indexed: 12/12/2022]
Abstract
Recently, increased interest and efforts were observed in describing the possible interaction between sleep and emotions. Human and animal model studies addressed the implication of both sleep patterns and emotional processing in neurophysiology and neuropathology in suggesting a bidirectional interaction intimately modulated by complex mechanisms and factors. In this context, we aimed to discuss recent evidence and possible mechanisms implicated in this interaction, as provided by both human and animal models in studies. In addition, considering the affective component of brain physiological patterns, we aimed to find reasonable evidence in describing the two-way association between comorbid sleep impairments and psychiatric disorders. The main scientific literature databases (PubMed/Medline, Web of Science) were screened with keyword combinations for relevant content taking into consideration only English written papers and the inclusion and exclusion criteria, according to PRISMA guidelines. We found that a strong modulatory interaction between sleep processes and emotional states resides on the activity of several key brain structures, such as the amygdala, prefrontal cortex, hippocampus, and brainstem nuclei. In addition, evidence suggested that physiologically and behaviorally related mechanisms of sleep are intimately interacting with emotional perception and processing which could advise the key role of sleep in the unconscious character of emotional processes. However, further studies are needed to explain and correlate the functional analysis with causative and protective factors of sleep impairments and negative emotional modulation on neurophysiologic processing, mental health, and clinical contexts.
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Affiliation(s)
- Radu Lefter
- Center of Biomedical Research, Romanian Academy, Iasi Branch, B dul Carol I, no. 8, 700506 Iasi, Romania;
| | - Roxana Oana Cojocariu
- Department of Biology, Faculty of Biology, Alexandru Ioan Cuza University, B dul Carol I, no 11, 700506 Iasi, Romania;
| | - Alin Ciobica
- Department of Biology, Faculty of Biology, Alexandru Ioan Cuza University, B dul Carol I, no 11, 700506 Iasi, Romania;
- Center of Biomedical Research, Romanian Academy, B dul Carol I, no 8, 700505 Iasi, Romania
- Academy of Romanian Scientists, Splaiul Independentei nr. 54, Sector 5, 050094 Bucuresti, Romania
| | - Ioana-Miruna Balmus
- Department of Exact Sciences and Natural Sciences, Institute of Interdisciplinary Research, Alexandru Ioan Cuza University of Iasi, Alexandru Lapusneanu Street, no. 26, 700057 Iasi, Romania
| | - Ioannis Mavroudis
- Department of Neurology, Leeds Teaching Hospitals NHS Trust, Leeds LS2 9JT, UK;
| | - Anna Kis
- Institute of Cognitive Neuroscience and Psychology, Hungarian Academy of Sciences, 1117 Budapest, Hungary;
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12
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Becker LA, Penagos H, Flores FJ, Manoach DS, Wilson MA, Varela C. Eszopiclone and Zolpidem Produce Opposite Effects on Hippocampal Ripple Density. Front Pharmacol 2022; 12:792148. [PMID: 35087405 PMCID: PMC8787044 DOI: 10.3389/fphar.2021.792148] [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] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 12/13/2021] [Indexed: 12/03/2022] Open
Abstract
Clinical populations have memory deficits linked to sleep oscillations that can potentially be treated with sleep medications. Eszopiclone and zolpidem (two non-benzodiazepine hypnotics) both enhance sleep spindles. Zolpidem improved sleep-dependent memory consolidation in humans, but eszopiclone did not. These divergent results may reflect that the two drugs have different effects on hippocampal ripple oscillations, which correspond to the reactivation of neuronal ensembles that represent previous waking activity and contribute to memory consolidation. We used extracellular recordings in the CA1 region of rats and systemic dosing of eszopiclone and zolpidem to test the hypothesis that these two drugs differentially affect hippocampal ripples and spike activity. We report evidence that eszopiclone makes ripples sparser, while zolpidem increases ripple density. In addition, eszopiclone led to a drastic decrease in spike firing, both in putative pyramidal cells and interneurons, while zolpidem did not substantially alter spiking. These results provide an explanation of the different effects of eszopiclone and zolpidem on memory in human studies and suggest that sleep medications can be used to regulate hippocampal ripple oscillations, which are causally linked to sleep-dependent memory consolidation.
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Affiliation(s)
- Logan A Becker
- Department of Neuroscience and Behavior, Stony Brook University, Stony Brook, NY, United States.,Department of Neuroscience, University of Texas at Austin, Austin, TX, United States.,Psychology Department, Florida Atlantic University, Boca Raton, FL, United States
| | - Hector Penagos
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, United States.,Center for Brains Minds and Machines, Massachusetts Institute of Technology, Boston, MA, United States
| | - Francisco J Flores
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, United States.,Center for Brains Minds and Machines, Massachusetts Institute of Technology, Boston, MA, United States.,Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Dara S Manoach
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States
| | - Matthew A Wilson
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, United States.,Center for Brains Minds and Machines, Massachusetts Institute of Technology, Boston, MA, United States
| | - Carmen Varela
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, United States.,Center for Brains Minds and Machines, Massachusetts Institute of Technology, Boston, MA, United States.,Psychology Department, Florida Atlantic University, Boca Raton, FL, United States
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13
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Chunduri A, Crusio WE, Delprato A. Narcolepsy in Parkinson's disease with insulin resistance. F1000Res 2022; 9:1361. [PMID: 34745571 PMCID: PMC8543173 DOI: 10.12688/f1000research.27413.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/12/2022] [Indexed: 11/20/2022] Open
Abstract
Background: Parkinson’s disease (PD) is characterized by its progression of motor-related symptoms such as tremors, rigidity, slowness of movement, and difficulty with walking and balance. Comorbid conditions in PD individuals include insulin resistance (IR) and narcolepsy-like sleep patterns. The intersecting sleep symptoms of both conditions include excessive daytime sleepiness, hallucinations, insomnia, and falling into REM sleep more quickly than an average person. Understanding of the biological basis and relationship of these comorbid disorders with PD may help with early detection and intervention strategies to improve quality of life. Methods: In this study, an integrative genomics and systems biology approach was used to analyze gene expression patterns associated with PD, IR, and narcolepsy in order to identify genes and pathways that may shed light on how these disorders are interrelated. A correlation analysis with known genes associated with these disorders (LRRK2, HLA-DQB1, and HCRT) was used to query microarray data corresponding to brain regions known to be involved in PD and narcolepsy. This includes the hypothalamus, dorsal thalamus, pons, and subcoeruleus nucleus. Risk factor genes for PD, IR, and narcolepsy were also incorporated into the analysis. Results: The PD and narcolepsy signaling networks are connected through insulin and immune system pathways. Important genes and pathways that link PD, narcolepsy, and IR are CACNA1C, CAMK1D, BHLHE41, HMGB1, and AGE-RAGE. Conclusions: We have identified the genetic signatures that link PD with its comorbid disorders, narcolepsy and insulin resistance, from the convergence and intersection of dopaminergic, insulin, and immune system related signaling pathways. These findings may aid in the design of early intervention strategies and treatment regimes for non-motor symptoms in PD patients as well as individuals with diabetes and narcolepsy.
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Affiliation(s)
- Alisha Chunduri
- Department of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad, 500075, India
- Department of Research and Education, BioScience Project, Wakefield, MA, 01880, USA
| | - Wim E. Crusio
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, CNRS UMR 5287, Pessac, 33615, France
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287 University of Bordeaux, Pessac, 33615, France
| | - Anna Delprato
- Department of Research and Education, BioScience Project, Wakefield, MA, 01880, USA
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, CNRS UMR 5287, Pessac, 33615, France
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14
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Kraiwattanapirom N, Komlao P, Harnpramukkul A, Promyo K, Ngampramuan S, Chetsawang B. The neuroprotective role of melatonin against methamphetamine toxicity-induced neurotransmission dysregulation and cognitive deficits in rats. Food Chem Toxicol 2021; 157:112610. [PMID: 34653556 DOI: 10.1016/j.fct.2021.112610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/08/2021] [Accepted: 10/10/2021] [Indexed: 10/20/2022]
Abstract
Methamphetamine (MA) is a psychostimulant and addictive substance. Long-term uses and toxic high doses of MA can induce neurotoxicity. The present study aimed to investigate the protective role of melatonin against MA toxicity-induced dysregulation of the neurotransmission related to cognitive function in rats. The adult male Sprague Dawley rats were intraperitoneally injected with 5 mg/kg MA for 7 consecutive days with or without subcutaneously injected with 10 mg/kg melatonin before MA injection. Some rats were injected with saline solution (control) or 10 mg/kg melatonin. MA administration induced reduction in total weight gain, neurotoxic features of stereotyped behaviors, deficits in cognitive flexibility, and significantly increased lipid peroxidation in the brain which diminished in melatonin pretreatment. The neurotoxic effect of MA on glutamate, dopamine and GABA transmitters was represented by the alteration of the GluR1, DARPP-32 and parvalbumin (PV) levels, respectively. A significant decrease in the GluR1 was observed in the prefrontal cortex of MA administration in rats. MA administration significantly increased the DARPP-32 but decreased PV in the striatum. Pretreatment of melatonin can abolish the neurotoxic effect of MA on neurotransmission dysregulation. These findings might reveal the antioxidative role of melatonin to restore neurotransmission dysregulation related to cognitive deficits in MA-induced neurotoxicity.
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Affiliation(s)
- Natcharee Kraiwattanapirom
- Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhonpathom, Thailand
| | - Pongphat Komlao
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, the Netherlands
| | | | - Kitipong Promyo
- School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
| | - Sukonthar Ngampramuan
- Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhonpathom, Thailand
| | - Banthit Chetsawang
- Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhonpathom, Thailand.
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15
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Zhou L, Tang Z, Zuo Z, Zhou K. Neural Mechanism Underlying the Sleep Deprivation-Induced Abnormal Bistable Perception. Cereb Cortex 2021; 32:583-592. [PMID: 34322696 DOI: 10.1093/cercor/bhab235] [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: 04/04/2021] [Revised: 06/20/2021] [Accepted: 06/21/2021] [Indexed: 11/12/2022] Open
Abstract
Quality sleep is vital for physical and mental health. No matter whether sleep problems are a consequence of or contributory factor to mental disorders, people with psychosis often suffer from severe sleep disturbances. Previous research has shown that acute sleep deprivation (SD) can cause transient brain dysfunction and lead to various cognitive impairments in healthy individuals. However, the relationship between sleep disturbance and bistable perception remains unclear. Here, we investigated whether the bistable perception could be affected by SD and elucidated the functional brain changes accompanying SD effects on bistable perception using functional magnetic resonance imaging. We found that the 28-h SD resulted in slower perceptual transitions in healthy individuals. The reduced perceptual transition was accompanied by the decreased activations in rivalry-related frontoparietal areas, including the right superior parietal lobule, right frontal eye field, and right temporoparietal junction. We speculated that SD might disrupt the normal function of these regions crucial for bistable perception, which mediated the slower rivalry-related perceptual transitions in behavior. Our findings revealed the neural changes underlying the abnormal bistable perception following the SD. It also suggested that SD might offer a new window to understand the neural mechanisms underlying the bistable perception.
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16
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Balzekas I, Sladky V, Nejedly P, Brinkmann BH, Crepeau D, Mivalt F, Gregg NM, Pal Attia T, Marks VS, Wheeler L, Riccelli TE, Staab JP, Lundstrom BN, Miller KJ, Van Gompel J, Kremen V, Croarkin PE, Worrell GA. Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies. Front Hum Neurosci 2021; 15:702605. [PMID: 34381344 PMCID: PMC8349989 DOI: 10.3389/fnhum.2021.702605] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/29/2021] [Indexed: 01/10/2023] Open
Abstract
Intracranial electroencephalographic (iEEG) recordings from patients with epilepsy provide distinct opportunities and novel data for the study of co-occurring psychiatric disorders. Comorbid psychiatric disorders are very common in drug-resistant epilepsy and their added complexity warrants careful consideration. In this review, we first discuss psychiatric comorbidities and symptoms in patients with epilepsy. We describe how epilepsy can potentially impact patient presentation and how these factors can be addressed in the experimental designs of studies focused on the electrophysiologic correlates of mood. Second, we review emerging technologies to integrate long-term iEEG recording with dense behavioral tracking in naturalistic environments. Third, we explore questions on how best to address the intersection between epilepsy and psychiatric comorbidities. Advances in ambulatory iEEG and long-term behavioral monitoring technologies will be instrumental in studying the intersection of seizures, epilepsy, psychiatric comorbidities, and their underlying circuitry.
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Affiliation(s)
- Irena Balzekas
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States
- Mayo Clinic Alix School of Medicine, Rochester, MN, United States
- Mayo Clinic Medical Scientist Training Program, Rochester, MN, United States
| | - Vladimir Sladky
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czechia
| | - Petr Nejedly
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- The Czech Academy of Sciences, Institute of Scientific Instruments, Brno, Czechia
| | - Benjamin H. Brinkmann
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Daniel Crepeau
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Filip Mivalt
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Faculty of Electrical Engineering and Communication, Department of Biomedical Engineering, Brno University of Technology, Brno, Czechia
| | - Nicholas M. Gregg
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Tal Pal Attia
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Victoria S. Marks
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States
| | - Lydia Wheeler
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States
- Mayo Clinic Alix School of Medicine, Rochester, MN, United States
| | - Tori E. Riccelli
- Mayo Clinic Alix School of Medicine, Rochester, MN, United States
| | - Jeffrey P. Staab
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
- Department of Otorhinolaryngology, Mayo Clinic, Rochester, MN, United States
| | - Brian Nils Lundstrom
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Kai J. Miller
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, United States
| | - Jamie Van Gompel
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, United States
| | - Vaclav Kremen
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Prague, Czechia
| | - Paul E. Croarkin
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Gregory A. Worrell
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
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17
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Beydoun HA, Beydoun MA, Weiss J, Hossain S, Huang S, Alemu BT, Zonderman AB. Insomnia as a predictor of diagnosed memory problems: 2006-2016 Health and Retirement Study. Sleep Med 2021; 80:158-166. [PMID: 33601227 PMCID: PMC11000697 DOI: 10.1016/j.sleep.2021.01.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 01/04/2021] [Accepted: 01/26/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To evaluate the longitudinal relationship in insomnia symptoms over time with incident memory problems and dementia diagnoses among U.S. adults aged 65 years and older. METHODS Secondary analyses were performed on 9518 elderly participants (≥65 years) who completed the 2006 wave of the Health and Retirement Study (HRS) and were followed-up to determine if insomnia symptom scores (2006-2014) were associated with time-to-onset of [1] physician-diagnosed "memory-related disease", "Alzheimer's disease" and/or "dementia, senility or any other serious memory impairment" and [2] diagnosis of dementia based on HRS-specific criteria. Cox proportional hazards models were constructed adjusting for socio-demographic, lifestyle, and health characteristics. RESULTS In fully adjusted models, severe insomnia symptoms were associated with increased risk of physician-diagnosed memory problems. Individuals reporting any change (increase or decrease) in insomnia symptoms during the 2006-2010 period were more likely to be diagnosed with dementia based on HRS criteria. Finally, those who experienced an increase in the severity of insomnia symptoms over time exhibited 41-72% increased risks of physician-diagnosed memory problems and 45-58% increased risks of dementia diagnosis based on HRS criteria. CONCLUSIONS When severe insomnia symptoms increased over time, physician-diagnosed memory problems and dementia diagnoses also increased among U.S. elderly people over a 10-year follow-up period. More studies are required to confirm these findings using large prospective cohort designs and validated tools.
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Affiliation(s)
- Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA, 22060.
| | - May A Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, USA, 21225.
| | - Jordan Weiss
- Department of Demography, UC Berkeley, Berkeley, CA, USA.
| | - Sharmin Hossain
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, USA, 21225.
| | - Shuyan Huang
- Fort Belvoir Troop Command, Fort Belvoir, VA, USA, 22060.
| | - Brook T Alemu
- Health Sciences Program, School of Health Sciences, Western Carolina University, Cullowhee, NC, USA, 28723.
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD, USA, 21225.
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18
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Wake up and smell the dopamine: new mechanisms mediating dopamine activity fluctuations related to sleep and psychostimulant sensitivity. Neuropsychopharmacology 2021; 46:683-684. [PMID: 33159169 PMCID: PMC8027680 DOI: 10.1038/s41386-020-00903-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 01/20/2023]
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19
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Carskadon MA, Barker DH. Editorial Perspective: Adolescents' fragile sleep-shining light on a time of risk to mental health. J Child Psychol Psychiatry 2020; 61:1058-1060. [PMID: 32496579 DOI: 10.1111/jcpp.13275] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/05/2020] [Indexed: 11/30/2022]
Abstract
As many other facets of life-biological, behavioral, psychological, cognitive, and social-undergo change during adolescence, so too does sleep. The context of sleep behavior is modified by alterations to underlying bioregulatory processes that challenge sleep's timing, regularity, and quantity. The buildup of sleep pressure during the day gets slower, opening the door for youth to stay awake later; however, the amount of sleep required does not diminish. Further, the circadian timing system delays, again providing the biological impetus for later sleep. When these changes meet societal demands for early wake, most teens cannot find a way to get enough sleep at a consistent time from night to night. Insufficient and irregular sleep provides a fragile foundation to support mental health.
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Affiliation(s)
- Mary A Carskadon
- E.P. Bradley Hospital Sleep Research Laboratory, Alpert Medical School of Brown University, Providence, RI, USA
| | - David H Barker
- Bradley Hasbro Children's Research Center, Alpert Medical School of Brown University, Providence, RI, USA
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