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Liang J, Ma T, Li Y, Sun R, Zhao S, Shen Y, Gao H, Jing Y, Bai X, He M, Wang Q, Xi H, Shi R, Yang Y. Association between sleep duration and serum neurofilament light chain levels among adults in the United States. Heliyon 2024; 10:e30699. [PMID: 38770343 PMCID: PMC11103434 DOI: 10.1016/j.heliyon.2024.e30699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/22/2024] Open
Abstract
Background Neurofilaments are neuron specific skeleton proteins maintaining axon transduction speed, leaked into cerebrospinal fluid and serum after axonal injury or neuron death. Sleep duration change has long related to many health issues but lack laboratory examination. Methods This study enrolled total 10,175 participants from 2013 to 2014 National Health and Nutrition Examination Survey and used a multi-variable linear model to analyze the relationship between sleep duration and serum neurofilament light chain (sNfL) level. Results There was a fixed relationship between sleep duration and sNfL level (β = 0.65, p = 0.0280). After adjusted for covariates, this relationship still (β = 0.82, p = 0.0052). Segmented regression showed that the turning point of sleep duration was 7 h 1 h decrease in sleep duration was significantly associated with -1.26 higher sNfL level (95 % CI: 2.25, -0.28; p = 0.0115) when sleep duration <7 h; however, 1 h increase in sleep duration was significantly associated with 3.20 higher sNfL level (95 % CI: 2.13, 4.27; p < 0.0001) when sleep duration >7 h. Furthermore, the stratified analysis indicated that the associations between sleep duration and sNfL level were stronger among those normal body mass index and trouble sleeping (p-interaction <0.0001 and 0.0003). Conclusion In summary, there was a J-shaped relationship between sleep duration and sNfL level in the United States of America representative group, these may suggest that extreme sleep duration can be deleterious judged by sNfL level. And still need large cohort study to determine the accurate relationship, and cluster analysis to infer the nervous disease connected with extreme sleep duration.
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Affiliation(s)
- Jiaxing Liang
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Tengchi Ma
- Medical School of Yan'an University, Yan'an, China
- The First Affiliated Hospital of Xi’an Jiao tong University Yulin Hospital, Yulin, China
| | - Youlei Li
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Ruixin Sun
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
- Medical School of Xi'an International University, Xi'an, China
| | - Shuaishuai Zhao
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Yuzhe Shen
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Hui Gao
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Yunhang Jing
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
- Imagining Department, Yan'an University Affiliated Hospital, Yan'an, China
| | - Xinyue Bai
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Mengze He
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Qingyan Wang
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Huilin Xi
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
| | - Rui Shi
- Department of Geriatrics Cardiology, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Yanling Yang
- Medical School of Yan'an University, Yan'an, China
- Yan'an Key Laboratory of Neuroscience, Yan'an, China
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2
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Abstract
The timing of life on Earth is remarkable: between individuals of the same species, a highly similar temporal pattern is observed, with shared periods of activity and inactivity each day. At the individual level, this means that over the course of a single day, a person alternates between two states. They are either upright, active, and communicative or they lie down in a state of (un)consciousness called sleep where even the characteristic of neuronal signals in the brain shows distinctive properties. The circadian clock governs both of these time stamps-activity and (apparent) inactivity-making them come and go consistently at the same approximate time each day. This behavior thus represents the meeting of two pervasive systems: the circadian clock and metabolism. In this article, we will describe what is known about how the circadian clock anticipates daily changes in oxygen usage, how circadian clock regulation may relate to normal physiology, and to hypoxia and ischemia that can result from pathologies such as myocardial infarction and stroke.
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Affiliation(s)
- Francesca Sartor
- Institute of Medical Psychology, Medical Faculty, LMU Munich, Germany (F.S., B.F.-B., M.M.)
| | - Borja Ferrero-Bordera
- Institute of Medical Psychology, Medical Faculty, LMU Munich, Germany (F.S., B.F.-B., M.M.)
| | - Jeffrey Haspel
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO (J.H.)
| | - Markus Sperandio
- Institute for Cardiovascular Physiology and Pathophysiology, Walter Brendel Center for Experimental Medicine, and the Biomedical Center (BMC), Medical Faculty, LMU Munich, Germany (M.S.)
| | - Paul M Holloway
- Radcliffe Department of Medicine, University of Oxford, United Kingdom (P.M.H.)
| | - Martha Merrow
- Institute of Medical Psychology, Medical Faculty, LMU Munich, Germany (F.S., B.F.-B., M.M.)
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3
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Liu J, Ji X, Rovit E, Pitt S, Lipman T. Childhood sleep: assessments, risk factors, and potential mechanisms. World J Pediatr 2024; 20:105-121. [PMID: 36441394 PMCID: PMC9702880 DOI: 10.1007/s12519-022-00628-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 09/23/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Sleep problem is a highly prevalent health issue among pediatric populations across the world. In this review, we aimed to identify risk factors contributing to sleep deficiency and poor sleep hygiene in children. Potential biological, psychosocial, and environmental mechanisms as well as research gaps in the literature are also discussed. DATA SOURCES A comprehensive search for relevant English language full-text, peer-reviewed publications was performed focusing on pediatric sleep studies from prenatal to childhood and adolescence in a variety of indexes in PubMed, SCOPUS, and Psych Info. Both relevant data based and systematic reviews are included. RESULTS This paper summarizes many risk factors for childhood sleep problems, including biological (e.g., genetics, gender, age and puberty, prenatal factors, postnatal factors); nutritional (e.g., macronutrients, micronutrients, omega-3 fatty acids, obesity); environmental (e.g., heavy metals, noise, light, air pollution); interpersonal (e.g., family, exposure to violence, screen media use, physical injury); and community/socioeconomic variables (e.g., racial/ethnicity and cultural factors, neighborhood conditions and socioeconomic status, school factors, public health disasters/emergencies), to better understand the development of sleep problems in children. CONCLUSIONS Poor childhood sleep is a multifactorial issue affected by a wide range of prenatal and early-life biological, environmental, and psychosocial risk factors and contributors. A better understanding of these risk factors and their mechanisms is an important first step to develop future research and prevention programs focusing on pediatric sleep problems.
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Affiliation(s)
- Jianghong Liu
- School of Nursing, University of Pennsylvania, 418 Curie Blvd., Room 426, Claire M. Fagin Hall, Philadelphia, PA, 19104, USA.
| | - Xiaopeng Ji
- School of Nursing, College of Health Sciences, University of Delaware, Newark, DE, 19716, USA
| | - Elizabeth Rovit
- School of Nursing, University of Pennsylvania, 418 Curie Blvd., Room 426, Claire M. Fagin Hall, Philadelphia, PA, 19104, USA
| | - Susannah Pitt
- Geisinger Commonwealth School of Medicine, Scranton, PA, 18510, USA
| | - Terri Lipman
- School of Nursing, University of Pennsylvania, 418 Curie Blvd., Room 426, Claire M. Fagin Hall, Philadelphia, PA, 19104, USA
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4
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Austin-Zimmerman I, Levey DF, Giannakopoulou O, Deak JD, Galimberti M, Adhikari K, Zhou H, Denaxas S, Irizar H, Kuchenbaecker K, McQuillin A, Concato J, Buysse DJ, Gaziano JM, Gottlieb DJ, Polimanti R, Stein MB, Bramon E, Gelernter J. Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. Nat Commun 2023; 14:6059. [PMID: 37770476 PMCID: PMC10539313 DOI: 10.1038/s41467-023-41249-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 08/28/2023] [Indexed: 09/30/2023] Open
Abstract
Sleep duration has been linked to a wide range of negative health outcomes and to reduced life expectancy. We present genome-wide association studies of short ( ≤ 5 h) and long ( ≥ 10 h) sleep duration in adults of European (N = 445,966), African (N = 27,785), East Asian (N = 3141), and admixed-American (N = 16,250) ancestry from UK Biobank and the Million Veteran Programme. In a cross-population meta-analysis, we identify 84 independent loci for short sleep and 1 for long sleep. We estimate SNP-based heritability for both sleep traits in each ancestry based on population derived linkage disequilibrium (LD) scores using cov-LDSC. We identify positive genetic correlation between short and long sleep traits (rg = 0.16 ± 0.04; p = 0.0002), as well as similar patterns of genetic correlation with other psychiatric and cardiometabolic phenotypes. Mendelian randomisation reveals a directional causal relationship between short sleep and depression, and a bidirectional causal relationship between long sleep and depression.
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Affiliation(s)
- Isabelle Austin-Zimmerman
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Daniel F Levey
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Olga Giannakopoulou
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- UCL Genetics Institute, Division of Biosciences, University College London, London, WC1E 6BT, UK
| | - Joseph D Deak
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Marco Galimberti
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Keyrun Adhikari
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Hang Zhou
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Spiros Denaxas
- Health Data Research UK, Institute of Health Informatics, University College London, London, NW1 2DA, UK
| | - Haritz Irizar
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- Department of Genetics & Genomic Sciences and Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Karoline Kuchenbaecker
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- UCL Genetics Institute, Division of Biosciences, University College London, London, WC1E 6BT, UK
| | - Andrew McQuillin
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
| | - John Concato
- School of Medicine, Yale University, New Haven, CT, 06511, USA
- Office of Medical Policy, Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, MD, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
- Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Daniel J Gottlieb
- VA Boston Healthcare System, 1400 VFW Parkway (111PI), West Roxbury, MA, 02132, USA
- Division of Sleep and Circadian Disorders, Brigham & Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Renato Polimanti
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA
| | - Murray B Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
- Departments of Psychiatry and Herbert Wertheim School of Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Elvira Bramon
- Department of Mental Health Neuroscience, Division of Psychiatry, University College London, London, W1T 7BN, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Joel Gelernter
- Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, CT, USA.
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5
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Barlow IL, Mackay E, Wheater E, Goel A, Lim S, Zimmerman S, Woods I, Prober DA, Rihel J. The zebrafish mutant dreammist implicates sodium homeostasis in sleep regulation. eLife 2023; 12:RP87521. [PMID: 37548652 PMCID: PMC10406431 DOI: 10.7554/elife.87521] [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] [Indexed: 08/08/2023] Open
Abstract
Sleep is a nearly universal feature of animal behaviour, yet many of the molecular, genetic, and neuronal substrates that orchestrate sleep/wake transitions lie undiscovered. Employing a viral insertion sleep screen in larval zebrafish, we identified a novel gene, dreammist (dmist), whose loss results in behavioural hyperactivity and reduced sleep at night. The neuronally expressed dmist gene is conserved across vertebrates and encodes a small single-pass transmembrane protein that is structurally similar to the Na+,K+-ATPase regulator, FXYD1/Phospholemman. Disruption of either fxyd1 or atp1a3a, a Na+,K+-ATPase alpha-3 subunit associated with several heritable movement disorders in humans, led to decreased night-time sleep. Since atpa1a3a and dmist mutants have elevated intracellular Na+ levels and non-additive effects on sleep amount at night, we propose that Dmist-dependent enhancement of Na+ pump function modulates neuronal excitability to maintain normal sleep behaviour.
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Affiliation(s)
- Ida L Barlow
- Department of Cell and Developmental Biology, University College LondonLondonUnited Kingdom
| | - Eirinn Mackay
- Department of Cell and Developmental Biology, University College LondonLondonUnited Kingdom
| | - Emily Wheater
- Department of Cell and Developmental Biology, University College LondonLondonUnited Kingdom
| | - Aimee Goel
- Department of Cell and Developmental Biology, University College LondonLondonUnited Kingdom
| | - Sumi Lim
- Department of Cell and Developmental Biology, University College LondonLondonUnited Kingdom
| | - Steve Zimmerman
- Department of Molecular and Cellular Biology, Harvard UniversityCambridgeUnited States
| | | | - David A Prober
- Division of Biology and Biological Engineering, California Institute of TechnologyPasadenaUnited States
| | - Jason Rihel
- Department of Cell and Developmental Biology, University College LondonLondonUnited Kingdom
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6
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Madrid-Valero JJ, Gregory AM. Behaviour genetics and sleep: A narrative review of the last decade of quantitative and molecular genetic research in humans. Sleep Med Rev 2023; 69:101769. [PMID: 36933344 DOI: 10.1016/j.smrv.2023.101769] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 03/05/2023]
Abstract
During the last decade quantitative and molecular genetic research on sleep has increased considerably. New behavioural genetics techniques have marked a new era for sleep research. This paper provides a summary of the most important findings from the last ten years, on the genetic and environmental influences on sleep and sleep disorders and their associations with health-related variables (including anxiety and depression) in humans. In this review we present a brief summary of the main methods in behaviour genetic research (such as twin and genome-wide association studies). We then discuss key research findings on: genetic and environmental influences on normal sleep and sleep disorders, as well as on the association between sleep and health variables (highlighting a substantial role for genes in individual differences in sleep and their associations with other variables). We end by discussing future lines of enquiry and drawing conclusions, including those focused on problems and misconceptions associated with research of this type. In this last decade our knowledge about genetic and environmental influences on sleep and its disorders has expanded. Both, twin and genome-wide association studies show that sleep and sleep disorders are substantially influenced by genetic factors and for the very first time multiple specific genetic variants have been associated with sleep traits and disorders.
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Affiliation(s)
- Juan J Madrid-Valero
- Department of Health Psychology, Faculty of Health Sciences, University of Alicante, Spain.
| | - Alice M Gregory
- Department of Psychology, Goldsmiths, University of London, London, United Kingdom
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7
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Palermo J, Chesi A, Zimmerman A, Sonti S, Pahl MC, Lasconi C, Brown EB, Pippin JA, Wells AD, Doldur-Balli F, Mazzotti DR, Pack AI, Gehrman PR, Grant SF, Keene AC. Variant-to-gene mapping followed by cross-species genetic screening identifies GPI-anchor biosynthesis as a regulator of sleep. SCIENCE ADVANCES 2023; 9:eabq0844. [PMID: 36608130 PMCID: PMC9821868 DOI: 10.1126/sciadv.abq0844] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 12/05/2022] [Indexed: 05/13/2023]
Abstract
Genome-wide association studies (GWAS) in humans have identified loci robustly associated with several heritable diseases or traits, yet little is known about the functional roles of the underlying causal variants in regulating sleep duration or quality. We applied an ATAC-seq/promoter focused Capture C strategy in human iPSC-derived neural progenitors to carry out a "variant-to-gene" mapping campaign that identified 88 candidate sleep effector genes connected to relevant GWAS signals. To functionally validate the role of the implicated effector genes in sleep regulation, we performed a neuron-specific RNA interference screen in the fruit fly, Drosophila melanogaster, followed by validation in zebrafish. This approach identified a number of genes that regulate sleep including a critical role for glycosylphosphatidylinositol (GPI)-anchor biosynthesis. These results provide the first physical variant-to-gene mapping of human sleep genes followed by a model organism-based prioritization, revealing a conserved role for GPI-anchor biosynthesis in sleep regulation.
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Affiliation(s)
- Justin Palermo
- Department of Biology, Texas A&M University, College Station, TX 77843, USA
| | - Alessandra Chesi
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Amber Zimmerman
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA
| | - Shilpa Sonti
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Matthew C. Pahl
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Chiara Lasconi
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Elizabeth B. Brown
- Department of Biology, Texas A&M University, College Station, TX 77843, USA
| | - James A. Pippin
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Andrew D. Wells
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA
| | - Fusun Doldur-Balli
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA
| | - Diego R. Mazzotti
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66103, USA
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Allan I. Pack
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA
| | - Phillip R. Gehrman
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA 19104, USA
| | - Struan F.A. Grant
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Divisions of Human Genetics and Endocrinology and Diabetes, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alex C. Keene
- Department of Biology, Texas A&M University, College Station, TX 77843, USA
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8
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Yang Q, Magnus MC, Kilpi F, Santorelli G, Soares AG, West J, Magnus P, Wright J, Håberg SE, Sanderson E, Lawlor DA, Tilling K, Borges MC. Investigating causal relations between sleep duration and risks of adverse pregnancy and perinatal outcomes: linear and nonlinear Mendelian randomization analyses. BMC Med 2022; 20:295. [PMID: 36089592 PMCID: PMC9465870 DOI: 10.1186/s12916-022-02494-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 07/25/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Observational studies have reported maternal short/long sleep duration to be associated with adverse pregnancy and perinatal outcomes. However, it remains unclear whether there are nonlinear causal effects. Our aim was to use Mendelian randomization (MR) and multivariable regression to examine nonlinear effects of sleep duration on stillbirth (MR only), miscarriage (MR only), gestational diabetes, hypertensive disorders of pregnancy, perinatal depression, preterm birth and low/high offspring birthweight. METHODS We used data from European women in UK Biobank (N=176,897), FinnGen (N=~123,579), Avon Longitudinal Study of Parents and Children (N=6826), Born in Bradford (N=2940) and Norwegian Mother, Father and Child Cohort Study (MoBa, N=14,584). We used 78 previously identified genetic variants as instruments for sleep duration and investigated its effects using two-sample, and one-sample nonlinear (UK Biobank only), MR. We compared MR findings with multivariable regression in MoBa (N=76,669), where maternal sleep duration was measured at 30 weeks. RESULTS In UK Biobank, MR provided evidence of nonlinear effects of sleep duration on stillbirth, perinatal depression and low offspring birthweight. Shorter and longer duration increased stillbirth and low offspring birthweight; shorter duration increased perinatal depression. For example, longer sleep duration was related to lower risk of low offspring birthweight (odds ratio 0.79 per 1 h/day (95% confidence interval: 0.67, 0.93)) in the shortest duration group and higher risk (odds ratio 1.40 (95% confidence interval: 1.06, 1.84)) in the longest duration group, suggesting shorter and longer duration increased the risk. These were supported by the lack of evidence of a linear effect of sleep duration on any outcome using two-sample MR. In multivariable regression, risks of all outcomes were higher in the women reporting <5 and ≥10 h/day sleep compared with the reference category of 8-9 h/day, despite some wide confidence intervals. Nonlinear models fitted the data better than linear models for most outcomes (likelihood ratio P-value=0.02 to 3.2×10-52), except for gestational diabetes. CONCLUSIONS Our results show shorter and longer sleep duration potentially causing higher risks of stillbirth, perinatal depression and low offspring birthweight. Larger studies with more cases are needed to detect potential nonlinear effects on hypertensive disorders of pregnancy, preterm birth and high offspring birthweight.
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Affiliation(s)
- Qian Yang
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Fanny Kilpi
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gillian Santorelli
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Ana Gonçalves Soares
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jane West
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Siri Eldevik Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Kate Tilling
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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9
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Abstract
Genetics is one of the various approaches adopted to understand and control mammalian sleep. Reverse genetics, which is usually applied to analyze sleep in gene-deficient mice, has been the mainstream field of genetic studies on sleep for the past three decades and has revealed that various molecules, including orexin, are involved in sleep regulation. Recently, forward genetic studies in humans and mice have identified gene mutations responsible for heritable sleep abnormalities, such as SIK3, NALCN, DEC2, the neuropeptide S receptor, and β1 adrenergic receptor. Furthermore, the protein kinase A-SIK3 pathway was shown to represent the intracellular neural signaling for sleep need. Large-scale genome-wide analyses of human sleep have been conducted, and many gene loci associated with individual differences in sleep have been found. The development of genome-editing technology and gene transfer by an adeno-associated virus has updated and expanded the genetic studies on mammals. These efforts are expected to elucidate the mechanisms of sleep–wake regulation and develop new therapeutic interventions for sleep disorders.
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Affiliation(s)
- Hiromasa Funato
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan
- Department of Anatomy, Faculty of Medicine, Toho University, Ota-ku, Tokyo 951-8585, Japan
| | - Masashi Yanagisawa
- International Institute for Integrative Sleep Medicine, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan
- Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas 75390, Texas, USA
- Life Science Center, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba, Ibaraki 305-8577, Japan
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10
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Peng G, Zhu C, Sun Q, Li J, Chen Y, Guo Y, Ji H, Yang F, Dong W. Testicular miRNAs and tsRNAs provide insight into gene regulation during overwintering and reproduction of Onychostoma macrolepis. FISH PHYSIOLOGY AND BIOCHEMISTRY 2022; 48:481-499. [PMID: 35595880 DOI: 10.1007/s10695-022-01078-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 04/19/2022] [Indexed: 06/15/2023]
Abstract
The late overwintering period and breeding period are two important developmental stages of testis in Onychostoma macrolepis. Small non-coding RNAs (sncRNAs) are well-known regulators of biological processes associated with numerous biological processes. This study aimed to elucidate the roles of four sncRNA classes (microRNAs [miRNAs], Piwi-interacting RNAs [piRNAs], tRNA-derived small RNAs [tsRNAs], and rRNA-derived small RNAs [rsRNAs]) across testes in the late overwintering period (in March) and breeding period (in June) by high-throughput sequencing. The testis of O. macrolepis displayed the highest levels of piRNAs and lowest levels of rsRNAs. Compared with miRNAs and tsRNAs in June, tsRNAs in March had a higher abundance, while miRNAs in March had a much lower abundance. Bioinformatics analysis identified 1,362 and 1,340 differentially expressed miRNAs and tsRNAs, respectively. Further analysis showed that miR-200-1, miR-143-1, tRFi-Lys-CTT-1, and tRFi-Glu-CTC-1 could play critical roles during the overwintering and breeding periods. Our findings provided an unprecedented insight to reveal the epigenetic mechanism underlying the overwintering and reproduction process of male O. macrolepis.
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Affiliation(s)
- Guofan Peng
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
- Biology Research Centre of Qin Mountains Wildlife, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
| | - Chao Zhu
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
- Biology Research Centre of Qin Mountains Wildlife, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
| | - Qingfang Sun
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
| | - Jincan Li
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
| | - Yining Chen
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
| | - Yingjie Guo
- Biology Research Centre of Qin Mountains Wildlife, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
- College of Forestry, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
| | - Hong Ji
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China
| | - Fangxia Yang
- Biology Research Centre of Qin Mountains Wildlife, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China.
- College of Forestry, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China.
| | - Wuzi Dong
- College of Animal Science and Technology, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China.
- Biology Research Centre of Qin Mountains Wildlife, Northwest A&F University, No. 22 Xinong Road, Shaanxi, 712100, China.
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11
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Ando K, Tong L, Peng D, Vázquez-Liébanas E, Chiyoda H, He L, Liu J, Kawakami K, Mochizuki N, Fukuhara S, Grutzendler J, Betsholtz C. KCNJ8/ABCC9-containing K-ATP channel modulates brain vascular smooth muscle development and neurovascular coupling. Dev Cell 2022; 57:1383-1399.e7. [PMID: 35588738 DOI: 10.1016/j.devcel.2022.04.019] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 12/22/2021] [Accepted: 04/26/2022] [Indexed: 12/30/2022]
Abstract
Loss- or gain-of-function mutations in ATP-sensitive potassium channel (K-ATP)-encoding genes, KCNJ8 and ABCC9, cause human central nervous system disorders with unknown pathogenesis. Here, using mice, zebrafish, and cell culture models, we investigated cellular and molecular causes of brain dysfunctions derived from altered K-ATP channel function. We show that genetic/chemical inhibition or activation of KCNJ8/ABCC9-containing K-ATP channel function leads to brain-selective suppression or promotion of arterial/arteriolar vascular smooth muscle cell (VSMC) differentiation, respectively. We further show that brain VSMCs develop from KCNJ8/ABCC9-containing K-ATP channel-expressing mural cell progenitor and that K-ATP channel cell autonomously regulates VSMC differentiation through modulation of intracellular Ca2+ oscillation via voltage-dependent calcium channels. Consistent with defective VSMC development, Kcnj8 knockout mice showed deficiency in vasoconstrictive capacity and neuronal-evoked vasodilation leading to local hyperemia. Our results demonstrate a role for KCNJ8/ABCC9-containing K-ATP channels in the differentiation of brain VSMC, which in turn is necessary for fine-tuning of cerebral blood flow.
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Affiliation(s)
- Koji Ando
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Dag Hammarskjölds väg 20, 751 85 Uppsala, Sweden; Department of Molecular Pathophysiology, Institute of Advanced Medical Science, Nippon Medical School, 1-1-5 Sendagi Bunkyo-ku, Tokyo 113-8602, Japan; Department of Regenerative Medicine and Tissue Engineering, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shinmachi, Suita, Osaka 564-8565, Japan.
| | - Lei Tong
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Di Peng
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Dag Hammarskjölds väg 20, 751 85 Uppsala, Sweden
| | - Elisa Vázquez-Liébanas
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Dag Hammarskjölds väg 20, 751 85 Uppsala, Sweden
| | - Hirohisa Chiyoda
- Department of Molecular Pathophysiology, Institute of Advanced Medical Science, Nippon Medical School, 1-1-5 Sendagi Bunkyo-ku, Tokyo 113-8602, Japan; Department of Regenerative Medicine and Tissue Engineering, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shinmachi, Suita, Osaka 564-8565, Japan
| | - Liqun He
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Dag Hammarskjölds väg 20, 751 85 Uppsala, Sweden
| | - Jianping Liu
- Department of Medicine Huddinge (MedH), Karolinska Institute, Campus Flemingsburg, Neo, Blickagången 16, 141 57 Huddinge, Sweden
| | - Koichi Kawakami
- Laboratory of Molecular and Developmental Biology, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan; Department of Genetics, SOKENDAI (The Graduate University for Advanced Studies), 1111 Yata, Mishima, Shizuoka 411-8540, Japan
| | - Naoki Mochizuki
- Department of Cell Biology, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shinmachi, Suita, Osaka 564-8565, Japan
| | - Shigetomo Fukuhara
- Department of Molecular Pathophysiology, Institute of Advanced Medical Science, Nippon Medical School, 1-1-5 Sendagi Bunkyo-ku, Tokyo 113-8602, Japan
| | - Jaime Grutzendler
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Christer Betsholtz
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Dag Hammarskjölds väg 20, 751 85 Uppsala, Sweden; Department of Medicine Huddinge (MedH), Karolinska Institute, Campus Flemingsburg, Neo, Blickagången 16, 141 57 Huddinge, Sweden.
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12
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Kelmanson IA. [Sleep disturbances and their associations with disorders in emotional sphere and behavior in children]. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:93-98. [PMID: 34932293 DOI: 10.17116/jnevro202112111193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The paper addresses associations between sleep disorders and emotional and behavioral disturbances in children. These associations are considered in a view of commonly found co-occurrences of sleep problems, signs of anxiety and depression, oppositional-defiant behavior, and increased aggressiveness. The authors put forward a conception of reciprocal influences of these disturbances and provide information on potential physiological mechanisms responsible for associations between sleep problems and emotional and behavioral disturbances in children. Attention is drawn to hypothalamus-hypophysis-adrenal axis activation, serotonergic and aminergic systems imbalance, impaired melatonin and orexins production. Possibility of an existing pattern encompassing sleep problems, emotional and behavioral disturbances is discussed. Practical recommendations aimed at timely identification and treatment of the mentioned disorders are suggested.
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Affiliation(s)
- I A Kelmanson
- Almazov National Medical Research Centre, St. Petersburg, Russia.,Saint-Petersburg State Institute for Psychology and Social Work, St. Petersburg, Russia
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13
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Circadian Clocks, Sleep, and Metabolism. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021. [PMID: 34773224 DOI: 10.1007/978-3-030-81147-1_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
A molecular circadian clock exists not only in the brain, but also in most cells of the body. Research over the past two decades has demonstrated that it directs daily rhythmicity of nearly every aspect of metabolism. It also consolidates sleep-wake behavior each day into an activity/feeding period and a sleep/fasting period. Otherwise, sleep-wake states are mostly controlled by hypothalamic and thalamic regulatory circuits in the brain that direct overall brain state. Recent evidence suggests that hypothalamic control of appetite and metabolism may be concomitant with sleep-wake regulation, and even share the same control centers. Thus, circadian control of metabolic pathways might be overlaid by sleep-wake control of the same pathways, providing a flexible and redundant system to modify metabolism according to both activity and environment.
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14
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Dai X, Zhou E, Yang W, Mao R, Zhang W, Rao Y. Molecular resolution of a behavioral paradox: sleep and arousal are regulated by distinct acetylcholine receptors in different neuronal types in Drosophila. Sleep 2021; 44:6119684. [PMID: 33493349 DOI: 10.1093/sleep/zsab017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/21/2020] [Indexed: 02/02/2023] Open
Abstract
Sleep and arousal are both important for animals. The neurotransmitter acetylcholine (ACh) has long been found to promote both sleep and arousal in mammals, an apparent paradox which has also been found to exist in flies, causing much confusion in understanding sleep and arousal. Here, we have systematically studied all 13 ACh receptors (AChRs) in Drosophila to understand mechanisms underlying ACh function in sleep and arousal. We found that exogenous stimuli-induced arousal was decreased in nAChRα3 mutants, whereas sleep was decreased in nAChRα2 and nAChRβ2 mutants. nAChRα3 functions in dopaminergic neurons to promote exogenous stimuli-induced arousal, whereas nAChRα2 and β2 function in octopaminergic neurons to promote sleep. Our studies have revealed that a single transmitter can promote endogenous sleep and exogenous stimuli-induced arousal through distinct receptors in different types of downstream neurons.
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Affiliation(s)
- Xihuimin Dai
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics, Peking University School of Life Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,Howard Hughes Medical Institute, Department of Biology, Brandeis University, Waltham, MA
| | - Enxing Zhou
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics, Peking University School of Life Sciences, Beijing, China
| | - Wei Yang
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics, Peking University School of Life Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
| | - Renbo Mao
- Graduate School of Peking Union Medical College, Beijing, China.,National Institute of Biological Sciences, Beijing, China
| | - Wenxia Zhang
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics, Peking University School of Life Sciences, Beijing, China
| | - Yi Rao
- PKU-IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics, Peking University School of Life Sciences, Beijing, China.,Chinese Institute for Brain Research, Beijing, China
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15
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Dashti HS, Ordovás JM. Genetics of Sleep and Insights into Its Relationship with Obesity. Annu Rev Nutr 2021; 41:223-252. [PMID: 34102077 DOI: 10.1146/annurev-nutr-082018-124258] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Considerable recent advancements in elucidating the genetic architecture of sleep traits and sleep disorders may provide insight into the relationship between sleep and obesity. Despite the considerable involvement of the circadian clock in sleep and metabolism, few shared genes, including FTO, were implicated in genome-wide association studies (GWASs) of sleep and obesity. Polygenic scores composed of signals from GWASs of sleep traits show largely null associations with obesity, suggesting lead variants are unique to sleep. Modest genome-wide genetic correlations are observed between many sleep traits and obesity and are largest for snoring.Notably, U-shaped positive genetic correlations with body mass index (BMI) exist for both short and long sleep durations. Findings from Mendelian randomization suggest robust causal effects of insomnia on higher BMI and, conversely, of higher BMI on snoring and daytime sleepiness. Bidirectional effects between sleep duration and daytime napping with obesity may also exist. Limited gene-sleep interaction studies suggest that achieving favorable sleep, as part of a healthy lifestyle, may attenuate genetic predisposition to obesity, but whether these improvements produce clinically meaningful reductions in obesity risk remains unclear. Investigations of the genetic link between sleep and obesity for sleep disorders other than insomnia and in populations of non-European ancestry are currently limited. Expected final online publication date for the Annual Review of Nutrition, Volume 41 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Hassan S Dashti
- Center for Genomic Medicine and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA; .,Broad Institute, Cambridge, Massachusetts 02142, USA
| | - José M Ordovás
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111, USA.,Precision Nutrition and Obesity Program, IMDEA Alimentación, 28049 Madrid, Spain
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16
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Bedont JL, Toda H, Shi M, Park CH, Quake C, Stein C, Kolesnik A, Sehgal A. Short and long sleeping mutants reveal links between sleep and macroautophagy. eLife 2021; 10:64140. [PMID: 34085929 PMCID: PMC8177895 DOI: 10.7554/elife.64140] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 05/20/2021] [Indexed: 02/03/2023] Open
Abstract
Sleep is a conserved and essential behavior, but its mechanistic and functional underpinnings remain poorly defined. Through unbiased genetic screening in Drosophila, we discovered a novel short-sleep mutant we named argus. Positional cloning and subsequent complementation, CRISPR/Cas9 knock-out, and RNAi studies identified Argus as a transmembrane protein that acts in adult peptidergic neurons to regulate sleep. argus mutants accumulate undigested Atg8a(+) autophagosomes, and genetic manipulations impeding autophagosome formation suppress argus sleep phenotypes, indicating that autophagosome accumulation drives argus short-sleep. Conversely, a blue cheese neurodegenerative mutant that impairs autophagosome formation was identified independently as a gain-of-sleep mutant, and targeted RNAi screens identified additional genes involved in autophagosome formation whose knockdown increases sleep. Finally, autophagosomes normally accumulate during the daytime and nighttime sleep deprivation extends this accumulation into the following morning, while daytime gaboxadol feeding promotes sleep and reduces autophagosome accumulation at nightfall. In sum, our results paradoxically demonstrate that wakefulness increases and sleep decreases autophagosome levels under unperturbed conditions, yet strong and sustained upregulation of autophagosomes decreases sleep, whereas strong and sustained downregulation of autophagosomes increases sleep. The complex relationship between sleep and autophagy suggested by our findings may have implications for pathological states including chronic sleep disorders and neurodegeneration, as well as for integration of sleep need with other homeostats, such as under conditions of starvation.
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Affiliation(s)
- Joseph L Bedont
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States
| | - Hirofumi Toda
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States
| | - Mi Shi
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States
| | - Christine H Park
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States
| | - Christine Quake
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States
| | - Carly Stein
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States
| | - Anna Kolesnik
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States
| | - Amita Sehgal
- Chronobiology and Sleep Institute, Perelman Medical School of University of Pennsylvania, Philadelphia, United States.,Howard Hughes Medical Institute, Philadelphia, United States
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17
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Sehgal A. The 2020 Pittendrigh/Aschoff Lecture: My Circadian Journey. J Biol Rhythms 2021; 36:84-96. [PMID: 33428509 DOI: 10.1177/0748730420982398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The circadian field has come a long way since I started as a postdoctoral fellow ~30 years ago. At the time, the only known animal clock gene was period, so I had the privilege of witnessing, and participating in, the molecular revolution that took us from the discovery of the circadian clock mechanism to the identification of pathways that link clocks to behavior and physiology. This lecture highlights my role and perspective in these developments, and also demonstrates how the successful use of Drosophila for studies of circadian rhythms inspired us to develop a fly model for sleep. I also touch upon my experiences as a non-white immigrant woman navigating my way through the US science and education system, and hope my story will be of interest to some.
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Affiliation(s)
- Amita Sehgal
- Howard Hughes Medical Institute, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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18
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Sleep duration: A review of genome-wide association studies (GWAS) in adults from 2007 to 2020. Sleep Med Rev 2020; 56:101413. [PMID: 33338765 DOI: 10.1016/j.smrv.2020.101413] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 12/20/2022]
Abstract
A modest body of research exists in the area of human sleep genetics, which suggests that specific sleep phenotypes are, like many other complex traits, somewhat heritable. Until 2007 research into sleep genetics relied solely on twin studies, but in the last 13 years with the advent of huge biobanks and very large-scale genome-wide association studies, the field of molecular sleep genetics has seen important advances. To date, the majority have focused on self-reported sleep duration, but in recent years genome-wide association studies of objectively-measured sleep have emerged. These genetic studies have discovered multiple common genetic variants and as such, have provided insight into potential biological pathways, causal relationships between sleep duration and important disease outcomes using Mendelian randomisation. They have also shown that the heritability of these traits may not be as high as previously estimated. This article is the first to provide a detailed review of these recent advances in the genetic epidemiology of sleep duration. Studies were identified using both the GWAS Catalog and PubMed for completeness. Focus is on the genome-wide association studies published to date, including whether and how they have elucidated important biology and advanced knowledge in the area of sleep and health.
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19
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Mazzotta GM, Damulewicz M, Cusumano P. Better Sleep at Night: How Light Influences Sleep in Drosophila. Front Physiol 2020; 11:997. [PMID: 33013437 PMCID: PMC7498665 DOI: 10.3389/fphys.2020.00997] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 07/22/2020] [Indexed: 01/25/2023] Open
Abstract
Sleep-like states have been described in Drosophila and the mechanisms and factors that generate and define sleep-wake profiles in this model organism are being thoroughly investigated. Sleep is controlled by both circadian and homeostatic mechanisms, and environmental factors such as light, temperature, and social stimuli are fundamental in shaping and confining sleep episodes into the correct time of the day. Among environmental cues, light seems to have a prominent function in modulating the timing of sleep during the 24 h and, in this review, we will discuss the role of light inputs in modulating the distribution of the fly sleep-wake cycles. This phenomenon is of growing interest in the modern society, where artificial light exposure during the night is a common trait, opening the possibility to study Drosophila as a model organism for investigating shift-work disorders.
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Affiliation(s)
| | - Milena Damulewicz
- Department of Cell Biology and Imaging, Jagiellonian University, Kraków, Poland
| | - Paola Cusumano
- Department of Biology, University of Padova, Padua, Italy
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20
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Xie Y, Zhao Y, Zhou L, Zhao L, Wang J, Ma W, Su X, Hui P, Guo B, Liu Y, Fan J, Zhang S, Yang J, Chen W, Wang J. Gene polymorphisms (rs324957, rs324981) in NPSR1 are associated with increased risk of primary insomnia: A cross-sectional study. Medicine (Baltimore) 2020; 99:e21598. [PMID: 32846769 PMCID: PMC7447491 DOI: 10.1097/md.0000000000021598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Neuropeptide S and neuropeptide S receptor (NPSR1) are associated with sleep regulation. Herein, the possible contribution of 6 polymorphisms in NPSR1 on the chromosome to primary insomnia (PI) and objective sleep phenotypes was investigated.The study included 157 patients with PI and 133 age- and sex-matched controls. All subjects were investigated by polysomnography for 3 consecutive nights. The genotyping of 6 polymorphisms was carried out by polymerase chain reaction-restriction fragment length polymorphism method.A significant difference was detected for rs324957 and rs324981 between PI and controls. The PI patients had a higher frequency of AA than controls in rs324957 (P = .02) and rs324981 (P = .04). However, for other single nucleotide polymorphisms (rs323922, rs324377, rs324396, and rs324987), no significant differences were observed between PI patients and controls. There were 2 different allelic combinations that were associated with PI susceptibility (CATGTC, GCCAAT) and its risk factor. A significant difference in sleep latency was observed among 3 genotype carriers of NPSR1 gene polymorphism rs324957 in PI group (P = .04), with carriers of the A/A genotype having the longest sleep latency (mean ± SD: 114.80 ± 58.27), followed by the A/G genotype (112.77 ± 46.54) and the G/G genotype (92.12 ± 42.72).This study provided the evidence that the NPSR1 gene polymorphisms (rs324957, rs324981) might be susceptibility loci for PI. Further studies are needed to explore the role of NPSR1 gene polymorphisms in molecular mechanisms of PI in a larger sample size.
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Affiliation(s)
- Yuping Xie
- Sleep Medicine Center, Gansu Provincial Hospital
| | - Yuan Zhao
- Gansu University of Traditional Chinese Medicine
| | - Liya Zhou
- Electroencephalogram Room, Gansu Provincial Hospital, Lanzhou, Gansu, China
| | - Lijun Zhao
- Adelaide Medical School, the University of Adelaide, Adelaide, South Australia, Australia
| | - Jinfeng Wang
- Sleep Medicine Center, Gansu Provincial Hospital
| | - Wei Ma
- Sleep Medicine Center, Gansu Provincial Hospital
| | - Xiaoyan Su
- Sleep Medicine Center, Gansu Provincial Hospital
| | - Peilin Hui
- Sleep Medicine Center, Gansu Provincial Hospital
| | - Bin Guo
- Sleep Medicine Center, Gansu Provincial Hospital
| | - Yu Liu
- Sleep Medicine Center, Gansu Provincial Hospital
| | - Jie Fan
- Gansu University of Traditional Chinese Medicine
| | | | - Jun Yang
- Gansu University of Traditional Chinese Medicine
| | - Wenjuan Chen
- Gansu University of Traditional Chinese Medicine
| | - Jing Wang
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, China
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21
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Genetics of Circadian and Sleep Measures in Adults: Implications for Sleep Medicine. CURRENT SLEEP MEDICINE REPORTS 2020. [DOI: 10.1007/s40675-020-00165-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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22
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Kusic DM, Roberts WN, Jarvis JP, Zhang P, Scheinfeldt LB, Rajula KD, Brenner R, Dempsey MP, Zajic SC. rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative. Mil Med 2020; 185:649-655. [PMID: 31498392 DOI: 10.1093/milmed/usz216] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION the effects of obesity on health are a concern for the military as they affect the fitness to serve of active service members, increase costs to the Military Health System, and reduce quality of life for veterans and beneficiaries. Although obesity can be influenced by behavioral and environmental factors, it has also been shown to be associated with genetic risk factors that are not fully understood. MATERIALS AND METHODS we performed a genome-wide association study of 5,251 participants in the Coriell Personalized Medicine Collaborative, which includes 2,111 Air Force participants. We applied a generalized linear model, using principal component analysis to account for population structure, and analyzed single-variant associations with body mass index (BMI) as a continuous variable, using a Bonferroni-corrected P-value threshold to account for multiplicity. RESULTS we identified one genome-wide significant locus, rs11670527, upstream of the ZNF264 gene on chromosome 19, associated with BMI. CONCLUSIONS the finding of an association between rs11670527 and BMI adds to the growing body of literature characterizing the complex genetics of obesity. These efforts may eventually inform personalized interventions aimed at achieving and maintaining healthy weight.
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Affiliation(s)
- Dara M Kusic
- Coriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103
| | - Wendy N Roberts
- Coriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103
| | - Joseph P Jarvis
- Coriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103
| | - Pan Zhang
- Coriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103
| | | | - Kaveri D Rajula
- Coriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103
| | - Ruth Brenner
- Immunization Healthcare Division, Defense Health Agency, Falls Church, VA 22042
| | - Michael P Dempsey
- Defense Threat Reduction Agency, 8725 John J Kingman Rd., Fort Belvoir, VA 22060 Presented as a poster at the 2018 Military Health System Research Symposium, August 2018, Kissimmee, FL: abstract # MHSRS-18-1288
| | - Stefan C Zajic
- Coriell Institute for Medical Research, 403 Haddon Ave, Camden, NJ 08103
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23
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Sleep disturbances and their co‑occurrence with emotional and behavioural problems in elementary school children. SOMNOLOGIE 2019. [DOI: 10.1007/s11818-019-00216-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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24
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Toda H, Shi M, Williams JA, Sehgal A. Genetic Mechanisms Underlying Sleep. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2019; 83:57-61. [PMID: 30936393 DOI: 10.1101/sqb.2018.83.037705] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Sleep is important for cognitive ability, and perturbations of sleep are associated with a myriad of brain disorders. However, how sleep promotes health and function during wake is poorly understood. To address the cellular and molecular mechanisms underlying sleep, we use the fruit fly Drosophila melanogaster as a genetic model. Forward genetic approaches in flies were critical for deciphering molecular mechanisms of the circadian clock. Using similar approaches, we and others are gaining insights into the pathways that control sleep amount.
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Affiliation(s)
- Hirofumi Toda
- Howard Hughes Medical Institute, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Mi Shi
- Howard Hughes Medical Institute, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Julie A Williams
- Howard Hughes Medical Institute, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Amita Sehgal
- Howard Hughes Medical Institute, Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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25
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Nishiyama T, Nakatochi M, Goto A, Iwasaki M, Hachiya T, Sutoh Y, Shimizu A, Wang C, Tanaka H, Watanabe M, Hosono A, Tamai Y, Yamada T, Yamaji T, Sawada N, Fukumoto K, Otsuka K, Tanno K, Tomita H, Kojima K, Nagasaki M, Hozawa A, Hishida A, Sasakabe T, Nishida Y, Hara M, Ito H, Oze I, Nakamura Y, Mikami H, Ibusuki R, Takezaki T, Koyama T, Kuriyama N, Endoh K, Kuriki K, Turin TC, Naoyuki T, Katsuura-Kamano S, Uemura H, Okada R, Kawai S, Naito M, Momozawa Y, Kubo M, Sasaki M, Yamamoto M, Tsugane S, Wakai K, Suzuki S. Genome-wide association meta-analysis and Mendelian randomization analysis confirm the influence of ALDH2 on sleep durationin the Japanese population. Sleep 2019; 42:5362027. [DOI: 10.1093/sleep/zsz046] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 02/20/2019] [Indexed: 11/14/2022] Open
Affiliation(s)
- Takeshi Nishiyama
- Department of Public Health, Nagoya City University Graduate School of Medicine, Nagoya, Japan
- Department of Public Health, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Masahiro Nakatochi
- Data Science Division, Data Coordinating Center, Department of Advanced Medicine, Nagoya University Hospital, Japan
| | - Atsushi Goto
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Chaochen Wang
- Department of Public Health, Nagoya City University Graduate School of Medicine, Nagoya, Japan
- Department of Public Health, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Hideo Tanaka
- Osaka Prefectural Kishiwada Public Health Center, Osaka, Japan
| | - Miki Watanabe
- Department of Public Health, Nagoya City University Graduate School of Medicine, Nagoya, Japan
| | - Akihiro Hosono
- Department of Public Health, Nagoya City University Graduate School of Medicine, Nagoya, Japan
| | - Yuya Tamai
- Department of Public Health, Nagoya City University Graduate School of Medicine, Nagoya, Japan
| | | | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Kentaro Fukumoto
- Department of Neuropsychiatry, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kotaro Otsuka
- Department of Neuropsychiatry, School of Medicine, Iwate Medical University, Iwate, Japan
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Hiroaki Tomita
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kaname Kojima
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Masao Nagasaki
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tae Sasakabe
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Hidemi Ito
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Isao Oze
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Haruo Mikami
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Rie Ibusuki
- Department of International Islands and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Toshiro Takezaki
- Department of International Islands and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, Japan
| | - Kaori Endoh
- Laboratory of Public Health, Graduate School of Integrated Pharmaceutical and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Graduate School of Integrated Pharmaceutical and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Tanvir C Turin
- Department of Health Science, Shiga University of Medical Science, Shiga, Japan
| | - Takashima Naoyuki
- Department of Health Science, Shiga University of Medical Science, Shiga, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Hirokazu Uemura
- Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sayo Kawai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Mariko Naito
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Oral Epidemiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
- Division of Ultra-High Field MRI and Department of Radiology, Iwate Medical University, Iwate, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Shoichiro Tsugane
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medicine, Nagoya, Japan
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26
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Nishioka M, Bundo M, Iwamoto K, Kato T. Somatic mutations in the human brain: implications for psychiatric research. Mol Psychiatry 2019; 24:839-856. [PMID: 30087451 PMCID: PMC6756205 DOI: 10.1038/s41380-018-0129-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 03/27/2018] [Accepted: 05/25/2018] [Indexed: 01/18/2023]
Abstract
Psychiatric disorders such as schizophrenia and bipolar disorder are caused by complex gene-environment interactions. While recent advances in genomic technologies have enabled the identification of several risk variants for psychiatric conditions, including single-nucleotide variants and copy-number variations, these factors can explain only a portion of the liability to these disorders. Although non-inherited factors had previously been attributed to environmental causes, recent genomic analyses have demonstrated that de novo mutations are among the main non-inherited risk factors for several psychiatric conditions. Somatic mutations in the brain may also explain how stochastic developmental events and environmental insults confer risk for a psychiatric disorder following fertilization. Here, we review evidence regarding somatic mutations in the brains of individuals with and without neuropsychiatric diseases. We further discuss the potential biological mechanisms underlying somatic mutations in the brain as well as the technical issues associated with the detection of somatic mutations in psychiatric research.
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Affiliation(s)
- Masaki Nishioka
- 0000 0001 2151 536Xgrid.26999.3dDivision for Counseling and Support, The University of Tokyo, Tokyo, Japan
| | - Miki Bundo
- 0000 0001 0660 6749grid.274841.cDepartment of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan ,0000 0004 1754 9200grid.419082.6PRESTO, Japan Science and Technology Agency, Saitama, Japan
| | - Kazuya Iwamoto
- Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
| | - Tadafumi Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan.
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27
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Mei F, Wu Y, Wu J. The Relationship Between Tryptophan Hydroxylase-2 Gene with Primary Insomnia and Depressive Symptoms in the Han Chinese Population. Balkan Med J 2018; 35:412-416. [PMID: 29952309 PMCID: PMC6251380 DOI: 10.4274/balkanmedj.2017.1406] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Background: Insomnia often coexists with depression, and there is compelling evidence for a genetic component in the etiologies of both disorders. Aims: To investigate the relationship between exonic variant (rs4290270) in the tryptophan hydroxylase-2 gene and primary insomnia and symptoms of depression in Han Chinese. Study Design: Case-control study. Methods: This study included 152 patients with primary insomnia and 164 age- and gender-matched normal controls. All patients were investigated by polysomnography for 2 consecutive nights. The depressive symptoms were measured by using a 20-item Zung Self-rating Depression Scale. Sleep quality was assessed with the Pittsburgh Sleep Quality index. The genotypes of the TPH-2 gene polymorphism rs4290270 were determined by the polymerase chain reaction-restriction fragment length polymorphism method. Results: The genotype distributions of the tryptophan hydroxylase-2 gene polymorphism rs4290270 were in Hardy-Weinberg equilibrium in both patients and controls (p>0.05). The allele and genotype distributions of this variant were comparable between patients and controls in all subjects and between genders (all p>0.05). The impact of rs4290270 on self-rating depression scale score changes was statistically significant (p=0.002), with carriers of the A/A genotype having the highest self-rating depression scale score (mean ± standard deviation: 52.73±12.88), followed by the A/T genotype (50.94±11.29, p=0.35) and the T/T genotype (43.48±7.78, p<0.01), and this impact was more obvious in women (p<0.001). Conclusion: The tryptophan hydroxylase-2 gene polymorphism rs4290270 may not be a susceptibility locus for primary insomnia in Han Chinese, but it may be a marker of depressive symptoms.
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Affiliation(s)
- Feng Mei
- Department of Medical Psychology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yanfeng Wu
- Department of Neurology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jin Wu
- Department of Neurology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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28
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Zhang L, Fu YH. The molecular genetics of human sleep. Eur J Neurosci 2018; 51:422-428. [PMID: 30144347 DOI: 10.1111/ejn.14132] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 08/15/2018] [Accepted: 08/16/2018] [Indexed: 01/01/2023]
Abstract
It has been known for many years that genetic influences account for some of the individual differences in human sleep parameters, but the underlying molecular mechanisms remain unclear. With major advances of molecular biology and the recognition of heritable sleep behaviors in humans over the past 30 years, a number of genetic variants have been identified to be associated with human sleep timing, duration and quality, both in healthy individuals and under pathological conditions. Some of these variants were further validated and characterized in animal models, shedding light on the mechanism of how these variants likely alter sleep in humans, which may provide new insights into developing more effective treatments to improve human sleep.
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Affiliation(s)
- Luoying Zhang
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and Institute of Brain Research, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ying-Hui Fu
- Department of Neurology, University of California, San Francisco, California
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29
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Control of Sleep Onset by Shal/K v4 Channels in Drosophila Circadian Neurons. J Neurosci 2018; 38:9059-9071. [PMID: 30185460 DOI: 10.1523/jneurosci.0777-18.2018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 08/25/2018] [Accepted: 08/29/2018] [Indexed: 11/21/2022] Open
Abstract
Sleep is highly conserved across animal species. Both wake- and sleep-promoting neurons are implicated in the regulation of wake-sleep transition at dusk in Drosophila However, little is known about how they cooperate and whether they act via different mechanisms. Here, we demonstrated that in female Drosophila, sleep onset was specifically delayed by blocking the Shaker cognate L channels [Shal; also known as voltage-gated K+ channel 4 (Kv4)] in wake-promoting cells, including large ventral lateral neurons (l-LNvs) and pars intercerebralis (PI), but not in sleep-promoting dorsal neurons (DN1s). Delayed sleep onset was also observed in males by blocking Kv4 activity in wake-promoting neurons. Electrophysiological recordings show that Kv4 channels contribute A-type currents in LNvs and PI cells, but are much less conspicuous in DN1s. Interestingly, blocking Kv4 in wake-promoting neurons preferentially increased firing rates at dusk ∼ZT13, when the resting membrane potentials and firing rates were at lower levels. Furthermore, pigment-dispersing factor (PDF) is essential for the regulation of sleep onset by Kv4 in l-LNvs, and downregulation of PDF receptor (PDFR) in PI neurons advanced sleep onset, indicating Kv4 controls sleep onset via regulating PDF/PDFR signaling in wake-promoting neurons. We propose that Kv4 acts as a sleep onset controller by suppressing membrane excitability in a clock-dependent manner to balance the wake-sleep transition at dusk. Our results have important implications for the understanding and treatment of sleep disorders such as insomnia.SIGNIFICANCE STATEMENT The mechanisms by which our brains reversibly switch from waking to sleep state remain an unanswered and intriguing question in biological research. In this study, we identified that Shal/Kv4, a well known voltage-gated K+ channel, acts as a controller of wake-sleep transition at dusk in Drosophila circadian neurons. We find that interference of Kv4 function with a dominant-negative form (DNKv4) in subsets of circadian neurons specifically disrupts sleep onset at dusk, although Kv4 itself does not exhibit circadian oscillation. Kv4 preferentially downregulates neuronal firings at ZT9-ZT17, supporting that it plays an essential role in wake-sleep transition at dusk. Our findings may help understand and eventually treat sleep disorders such as insomnia.
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30
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Abstract
Sleep is nearly ubiquitous throughout the animal kingdom, yet little is known about how ecological factors or perturbations to the environment shape the duration and timing of sleep. In diverse animal taxa, poor sleep negatively impacts development, cognitive abilities and longevity. In addition to mammals, sleep has been characterized in genetic model organisms, ranging from the nematode worm to zebrafish, and, more recently, in emergent models with simplified nervous systems such as Aplysia and jellyfish. In addition, evolutionary models ranging from fruit flies to cavefish have leveraged natural genetic variation to investigate the relationship between ecology and sleep. Here, we describe the contributions of classical and emergent genetic model systems to investigate mechanisms underlying sleep regulation. These studies highlight fundamental interactions between sleep and sensory processing, as well as a remarkable plasticity of sleep in response to environmental changes. Understanding how sleep varies throughout the animal kingdom will provide critical insight into fundamental functions and conserved genetic mechanisms underlying sleep regulation. Furthermore, identification of naturally occurring genetic variation regulating sleep may provide novel drug targets and approaches to treat sleep-related diseases.
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Affiliation(s)
- Alex C Keene
- Jupiter Life Science Initiative, Florida Atlantic University, Jupiter, FL 33458, USA
- Department of Biological Sciences, Florida Atlantic University, Jupiter, FL 33458, USA
| | - Erik R Duboue
- Jupiter Life Science Initiative, Florida Atlantic University, Jupiter, FL 33458, USA
- Wilkes Honors College, Florida Atlantic University, Jupiter, FL 33458, USA
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31
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Simonelli G, Marshall NS, Grillakis A, Miller CB, Hoyos CM, Glozier N. Sleep health epidemiology in low and middle-income countries: a systematic review and meta-analysis of the prevalence of poor sleep quality and sleep duration. Sleep Health 2018; 4:239-250. [DOI: 10.1016/j.sleh.2018.03.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 02/01/2018] [Accepted: 03/05/2018] [Indexed: 12/30/2022]
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32
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Madrid-Valero JJ, Sánchez-Romera JF, Gregory AM, Martínez-Selva JM, Ordoñana JR. Heritability of sleep quality in a middle-aged twin sample from Spain. Sleep 2018; 41:5003439. [DOI: 10.1093/sleep/zsy110] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Juan J Madrid-Valero
- Department of Human Anatomy and Psychobiology, University of Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, Spain
| | - Juan F Sánchez-Romera
- Department of Human Anatomy and Psychobiology, University of Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, Spain
| | - Alice M Gregory
- Department of Psychology, Goldsmiths, University of London, UK
| | - José M Martínez-Selva
- Department of Human Anatomy and Psychobiology, University of Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, Spain
| | - Juan R Ordoñana
- Department of Human Anatomy and Psychobiology, University of Murcia, Spain
- Murcia Institute of Biomedical Research, IMIB-Arrixaca, Spain
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33
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Khan S, Nabi G, Yao L, Siddique R, Sajjad W, Kumar S, Duan P, Hou H. Health risks associated with genetic alterations in internal clock system by external factors. Int J Biol Sci 2018; 14:791-798. [PMID: 29910689 PMCID: PMC6001675 DOI: 10.7150/ijbs.23744] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 03/28/2018] [Indexed: 12/20/2022] Open
Abstract
The circadian system maintains the main aspects of physiological and behavioral processes. Both circadian rhythm and sleep impact an organism's health through interaction with environmental factors. Variations in external factors influence the functionality of clock genes and disrupt 24-hour rhythmic cycle. The disrupted circadian rhythm and disregulated sleep affect an organism's health, thereby causing several disorders including cancer, depression and cardiac disorders. Considering the role of clock genes and environmental factors, extensive investigation is required focusing on pathways involved in development of life-threatening disorders. This review identifies the major risks and associated factors related with disruption in circadian system and sleep.
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Affiliation(s)
- Suliman Khan
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, P.R China
- Henan Key Laboratory of Ecological Security for Water Source Region of Mid-line of South-to-North Diversion Project, Collaborative Innovation Center of Water Security for Water Source Region of Mid-line of South-to-North Diversion Project of Henan Province, Nanyang Normal University
- University of Chinese Academy of Sciences, Beijing 100049
| | - Ghulam Nabi
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, P.R China
- University of Chinese Academy of Sciences, Beijing 100049
| | - Lunguang Yao
- Henan Key Laboratory of Ecological Security for Water Source Region of Mid-line of South-to-North Diversion Project, Collaborative Innovation Center of Water Security for Water Source Region of Mid-line of South-to-North Diversion Project of Henan Province, Nanyang Normal University
| | - Rabeea Siddique
- Advanced Biomaterials and Tissue Engineering Center and Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Wasim Sajjad
- University of Chinese Academy of Sciences, Beijing 100049
- Key Laboratory of Petroleum Resources, Gansu Province / Key Laboratory of Petroleum Resources Research, Institute of Geology and geophysics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Sunjeet Kumar
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, P.R China
| | - Pengfei Duan
- Henan Key Laboratory of Ecological Security for Water Source Region of Mid-line of South-to-North Diversion Project, Collaborative Innovation Center of Water Security for Water Source Region of Mid-line of South-to-North Diversion Project of Henan Province, Nanyang Normal University
| | - Hongwei Hou
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, P.R China
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34
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Nishioka M, Bundo M, Ueda J, Yoshikawa A, Nishimura F, Sasaki T, Kakiuchi C, Kasai K, Kato T, Iwamoto K. Identification of somatic mutations in monozygotic twins discordant for psychiatric disorders. NPJ SCHIZOPHRENIA 2018; 4:7. [PMID: 29654278 PMCID: PMC5899160 DOI: 10.1038/s41537-018-0049-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Revised: 03/05/2018] [Accepted: 03/20/2018] [Indexed: 12/30/2022]
Abstract
Monozygotic twins are assumed to have identical genomes. Based on this assumption, phenotypic discordance in monozygotic twins has been previously attributed to environmental factors. However, recent genomic studies have identified characteristic somatic mutations in monozygotic twins discordant for Darier disease, Van der Woude syndrome, and Dravet syndrome. Here, we explored somatic mutations in four pairs of monozygotic twins discordant for schizophrenia or delusional disorder. We analyzed whole exome sequence data obtained from blood samples and identified seven somatic mutations in one twin pair discordant for delusional disorder. All seven of these mutations were validated by independent amplicon sequencing, and five of them were further validated by pyrosequencing. One somatic mutation in the patient with delusional disorder showed a missense variant in ABCC9 with an allele fraction of 7.32%. Although an association between the somatic mutations and phenotypic discordance could not be established conclusively in this study, our results suggest that somatic mutations in monozygotic twins may contribute to the development of psychiatric disorders, and can serve as high-priority candidates for genetic studies. Identical twins are not always identical when it comes to psychiatric disorders—and DNA mutations that arise after birth could explain why. Researchers in Japan led by Tadafumi Kato from the RIKEN Brain Science Institute and
Kazuya Iwamoto from Kumamoto University searched for DNA differences between four pairs of identical twins discordant for schizophrenia or delusional disorder by sequencing the entire protein-coding portion of the genome from the study subjects’ blood. In one sibling pair, they found seven genetic differences, including one in the sister with the delusional disorder that altered the sequence of a protein implicated in sleep and other brain functions. The findings suggest that, alongside epigenetic and environmental differences, acquired mutations can account for discordances in psychiatric illnesses among otherwise genetically identical twins.
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Affiliation(s)
- Masaki Nishioka
- Department of Molecular Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Division for Counseling and Support, The University of Tokyo, Tokyo, Japan
| | - Miki Bundo
- Department of Molecular Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.,PRESTO, Japan Science and Technology Agency, Saitama, Japan
| | - Junko Ueda
- Department of Molecular Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan
| | - Akane Yoshikawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Fumichika Nishimura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tsukasa Sasaki
- Department of Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan
| | - Chihiro Kakiuchi
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tadafumi Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Saitama, Japan.
| | - Kazuya Iwamoto
- Department of Molecular Psychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. .,Department of Molecular Brain Science, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
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35
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Ly S, Pack AI, Naidoo N. The neurobiological basis of sleep: Insights from Drosophila. Neurosci Biobehav Rev 2018; 87:67-86. [PMID: 29391183 PMCID: PMC5845852 DOI: 10.1016/j.neubiorev.2018.01.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 01/22/2018] [Accepted: 01/24/2018] [Indexed: 12/12/2022]
Abstract
Sleep is a biological enigma that has raised numerous questions about the inner workings of the brain. The fundamental question of why our nervous systems have evolved to require sleep remains a topic of ongoing scientific deliberation. This question is largely being addressed by research using animal models of sleep. Drosophila melanogaster, also known as the common fruit fly, exhibits a sleep state that shares common features with many other species. Drosophila sleep studies have unearthed an immense wealth of knowledge about the neuroscience of sleep. Given the breadth of findings published on Drosophila sleep, it is important to consider how all of this information might come together to generate a more holistic understanding of sleep. This review provides a comprehensive summary of the neurobiology of Drosophila sleep and explores the broader insights and implications of how sleep is regulated across species and why it is necessary for the brain.
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Affiliation(s)
- Sarah Ly
- Center for Sleep and Circadian Neurobiology, 125 South 31st St., Philadelphia, PA, 19104-3403, United States.
| | - Allan I Pack
- Center for Sleep and Circadian Neurobiology, 125 South 31st St., Philadelphia, PA, 19104-3403, United States; Division of Sleep Medicine/Department of Medicine, University of Pennsylvania Perelman School of Medicine, 125 South 31st St., Philadelphia, PA, 19104-3403, United States
| | - Nirinjini Naidoo
- Center for Sleep and Circadian Neurobiology, 125 South 31st St., Philadelphia, PA, 19104-3403, United States; Division of Sleep Medicine/Department of Medicine, University of Pennsylvania Perelman School of Medicine, 125 South 31st St., Philadelphia, PA, 19104-3403, United States.
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Brown EB, Torres J, Bennick RA, Rozzo V, Kerbs A, DiAngelo JR, Keene AC. Variation in sleep and metabolic function is associated with latitude and average temperature in Drosophila melanogaster. Ecol Evol 2018; 8:4084-4097. [PMID: 29721282 PMCID: PMC5916307 DOI: 10.1002/ece3.3963] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 01/18/2018] [Accepted: 01/31/2018] [Indexed: 01/05/2023] Open
Abstract
Regulation of sleep and metabolic homeostasis is critical to an animal's survival and under stringent evolutionary pressure. Animals display remarkable diversity in sleep and metabolic phenotypes; however, an understanding of the ecological forces that select for, and maintain, these phenotypic differences remains poorly understood. The fruit fly, Drosophila melanogaster, is a powerful model for investigating the genetic regulation of sleep and metabolic function, and screening in inbred fly lines has led to the identification of novel genetic regulators of sleep. Nevertheless, little is known about the contributions of naturally occurring genetic differences to sleep, metabolic phenotypes, and their relationship with geographic or environmental gradients. Here, we quantified sleep and metabolic phenotypes in 24 D. melanogaster populations collected from diverse geographic localities. These studies reveal remarkable variation in sleep, starvation resistance, and energy stores. We found that increased sleep duration is associated with proximity to the equator and elevated average annual temperature, suggesting that environmental gradients strongly influence natural variation in sleep. Further, we found variation in metabolic regulation of sleep to be associated with free glucose levels, while starvation resistance associates with glycogen and triglyceride stores. Taken together, these findings reveal robust naturally occurring variation in sleep and metabolic traits in D. melanogaster, providing a model to investigate how evolutionary and ecological history modulate these complex traits.
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Affiliation(s)
- Elizabeth B. Brown
- Department of Biological SciencesFlorida Atlantic UniversityJupiterFLUSA
| | - Joshua Torres
- Department of Biological SciencesFlorida Atlantic UniversityJupiterFLUSA
- Wilkes Honors CollegeFlorida Atlantic UniversityJupiterFLUSA
| | - Ryan A. Bennick
- Division of SciencePennsylvania State University BerksReadingPAUSA
| | - Valerie Rozzo
- Department of Biological SciencesFlorida Atlantic UniversityJupiterFLUSA
- Lifelong Learning SocietyFlorida Atlantic UniversityJupiterFLUSA
| | - Arianna Kerbs
- Department of Biological SciencesFlorida Atlantic UniversityJupiterFLUSA
- Dwyer High SchoolPalm Beach GardensFLUSA
| | | | - Alex C. Keene
- Department of Biological SciencesFlorida Atlantic UniversityJupiterFLUSA
- Wilkes Honors CollegeFlorida Atlantic UniversityJupiterFLUSA
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Noreen S, Pegoraro M, Nouroz F, Tauber E, Kyriacou CP. Interspecific studies of circadian genes period and timeless in Drosophila. Gene 2018; 648:106-114. [PMID: 29353056 PMCID: PMC5818170 DOI: 10.1016/j.gene.2018.01.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 12/25/2017] [Accepted: 01/05/2018] [Indexed: 11/24/2022]
Abstract
The level of rescue of clock function in genetically arrhythmic Drosophila melanogaster hosts using interspecific clock gene transformation was used to study the putative intermolecular coevolution between interacting clock proteins. Among them PER and TIM are the two important negative regulators of the circadian clock feedback loop. We transformed either the D. pseudoobscura per or tim transgenes into the corresponding arrhythmic D. melanogaster mutant (per01 or tim01) and observed >50% rhythmicity but the period of activity rhythm was either longer (D. pseudoobscura-per) or shorter than 24 h (D. pseudoobscura-tim) compared to controls. By introducing both transgenes simultaneously into double mutants, we observed that the period of the activity rhythm was rescued by the pair of hemizygous transgenes (~24 h). These flies also showed a more optimal level of temperature compensation for the period. Under LD 12:12 these flies have a D. pseudoobscura like activity profile with the absence of morning anticipation as well as a very prominent earlier evening peak of activity rhythm. These observation are consistent with the view that TIM and PER form a heterospecific coevolved module at least for the circadian period of activity rhythms. However the strength of rhythmicity was reduced by having both transgenes present, so while evidence for a coevolution between PER and TIM is observed for some characters it is not for others.
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Affiliation(s)
- Shumaila Noreen
- Department of Genetics and Genome Biology, University of Leicester, United Kingdom; Molecular Genetics Lab, Department of Zoology, University of Peshawar, Pakistan.
| | - Mirko Pegoraro
- Department of Genetics and Genome Biology, University of Leicester, United Kingdom
| | - Faisal Nouroz
- Department of Genetics and Genome Biology, University of Leicester, United Kingdom
| | - Eran Tauber
- Department of Genetics and Genome Biology, University of Leicester, United Kingdom; Department of Evolutionary & Environmental Biology, The Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel
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Chattu VK, Sakhamuri SM, Kumar R, Spence DW, BaHammam AS, Pandi-Perumal SR. Insufficient Sleep Syndrome: Is it time to classify it as a major noncommunicable disease? Sleep Sci 2018; 11:56-64. [PMID: 30083291 PMCID: PMC6056073 DOI: 10.5935/1984-0063.20180013] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 03/07/2018] [Indexed: 12/16/2022] Open
Abstract
Over the last three to four decades, it has been observed that the average total number of hours of sleep obtained per night by normal individuals have decreased. Concomitantly, global figures indicate that insufficient sleep is associated with serious adverse health and social outcomes. Moreover, insufficient sleep has been linked to seven of the fifteen leading causes of death. Additionally, current evidence suggests that sleep plays a significant role in determining cognitive performance and workplace productivity. There is a great need for a systematic analysis of the economic impact of insufficient sleep, particularly given current evidence that this phenomenon, as well as the poor sleep hygiene practices which produce it, is increasing worldwide. This paper takes the view that health authorities around the world need to raise the general awareness of benefits of sleep. There is considerable scope for research into both the public health impact as well as the macroeconomic consequences of insufficient sleep syndrome (ISS). Additionally, various models which estimate the undiagnosed burden of ISS on the GDP (gross domestic product) are needed to prioritize health issues and to highlight the national policies that are necessary to combat this medical problem. Sleep insufficiency has been declared to be a 'public health epidemic'; therefore, we propose ISS as a potential noncommunicable disease. This review elaborates on this topic further, exploring the causes and consequences of insufficient sleep, and thus providing a perspective on the policies that are needed as well as the research that will be required to support and justify these policies.
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Affiliation(s)
- Vijay Kumar Chattu
- Faculty of Medical Sciences, The University of the West Indies, St.
Augustine, Trinidad & Tobago
| | - Sateesh M. Sakhamuri
- Faculty of Medical Sciences, The University of the West Indies, St.
Augustine, Trinidad & Tobago
| | - Raman Kumar
- President, Academy of Family Physicians of India, New Delhi,
India
| | | | - Ahmed S. BaHammam
- University Sleep Disorders Center, College of Medicine and National
Plan for Science and Technology, King Saud University, Riyadh, Saudi Arabia
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Vidal-Taboada JM, Pugliese M, Salvadó M, Gámez J, Mahy N, Rodríguez MJ. K ATP Channel Expression and Genetic Polymorphisms Associated with Progression and Survival in Amyotrophic Lateral Sclerosis. Mol Neurobiol 2018; 55:7962-7972. [PMID: 29492846 DOI: 10.1007/s12035-018-0970-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 02/16/2018] [Indexed: 02/06/2023]
Abstract
The ATP-sensitive potassium (KATP) channel directly regulates the microglia-mediated inflammatory response following CNS injury. To determine the putative role of the KATP channel in amyotrophic lateral sclerosis (ALS) pathology, we investigated whether ALS induces changes in KATP channel expression in the spinal cord and motor cortex. We also characterized new functional variants of human ABCC8, ABCC9, KCNJ8, and KCNJ11 genes encoding for the KATP channel and analyzed their association with ALS risk, rate of progression, and survival in a Spanish ALS cohort. The expression of ABCC8 and KCNJ8 genes was enhanced in the spinal cord of ALS samples, and KCNJ11 increased in motor cortex of ALS samples, as determined by real-time polymerase chain reaction. We then sequenced the exons and regulatory regions of KATP channel genes from a subset of 28 ALS patients and identified 50 new genetic variants. For the case-control association analysis, we genotyped five selected polymorphisms with predicted functional relevance in 185 Spanish ALS (134 spinal ALS and 51 bulbar ALS) patients and 493 controls. We found that bulbar ALS patients presenting the G/G genotype of the rs4148646 variant of ABCC8 and the T/T genotype of the rs5219 variant of KCNJ11 survived longer than other ALS patients presenting other genotypes. Also, the C/C genotype of the rs4148642 variant of ABCC8 and the T/C genotype of the rs148416760 variant of ABCC9 modified the progression rate in spinal ALS patients. Our results suggest that the KATP channel plays a role in the pathophysiological mechanisms of ALS.
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Affiliation(s)
- José M Vidal-Taboada
- Department of Biomedical Sciences, Institut de Neurociències, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Universitat de Barcelona, Barcelona, Spain
| | - Marco Pugliese
- Department of Biomedical Sciences, Institut de Neurociències, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Universitat de Barcelona, Barcelona, Spain
| | - Maria Salvadó
- ALS Unit, Department of Neurology, Hospital Universitari Vall d'Hebron - VHIR, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep Gámez
- ALS Unit, Department of Neurology, Hospital Universitari Vall d'Hebron - VHIR, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nicole Mahy
- Department of Biomedical Sciences, Institut de Neurociències, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Universitat de Barcelona, Barcelona, Spain
| | - Manuel J Rodríguez
- Department of Biomedical Sciences, Institut de Neurociències, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Universitat de Barcelona, Barcelona, Spain. .,Unitat de Bioquímica i Biologia Molecular, Department of Biomedicina, Facultat de Medicina, UB, c/ Casanova 143, E-08036, Barcelona, Spain.
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Gan-Or Z, Alcalay RN, Rouleau GA, Postuma RB. Sleep disorders and Parkinson disease; lessons from genetics. Sleep Med Rev 2018; 41:101-112. [PMID: 29449121 DOI: 10.1016/j.smrv.2018.01.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 10/04/2017] [Accepted: 01/15/2018] [Indexed: 02/08/2023]
Abstract
Parkinson disease is a common, age-related neurodegenerative disorder, projected to afflict millions of individuals in the near future. Understanding its etiology and identifying clinical, genetic or biological markers for Parkinson disease onset and progression is therefore of major importance. Various sleep-related disorders are the most common group of non-motor symptoms in advanced Parkinson disease, but they can also occur during its prodromal phase. However, with the exception of REM sleep behavior disorder, it is unclear whether they are part of the early pathological process of Parkinson disease, or if they develop as Parkinson disease advances because of treatments and neurodegeneration progression. The advancements in genetic studies in the past two decades have generated a wealth of information, and recent genetic studies offer new insight on the association of sleep-related disorders with Parkinson disease. More specifically, comparing genetic data between Parkinson disease and sleep-related disorders can clarify their association, which may assist in determining whether they can serve as clinical markers for Parkinson disease risk or progression. In this review, we discuss the current knowledge on the genetics of sleep-related disorders in Parkinson disease context, and the potential implications on research, diagnosis, counseling and treatment.
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Affiliation(s)
- Ziv Gan-Or
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada; Department of Human Genetics, McGill University, Montréal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada.
| | - Roy N Alcalay
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Guy A Rouleau
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada; Department of Human Genetics, McGill University, Montréal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Ronald B Postuma
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
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Shiftwork-Mediated Disruptions of Circadian Rhythms and Sleep Homeostasis Cause Serious Health Problems. Int J Genomics 2018; 2018:8576890. [PMID: 29607311 PMCID: PMC5828540 DOI: 10.1155/2018/8576890] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 12/12/2017] [Indexed: 12/12/2022] Open
Abstract
Shiftwork became common during the last few decades with the growing demands of human life. Despite the social inactivity and irregularity in habits, working in continuous irregular shifts causes serious health issues including sleep disorders, psychiatric disorders, cancer, and metabolic disorders. These health problems arise due to the disruption in circadian clock system, which is associated with alterations in genetic expressions. Alteration in clock controlling genes further affects genes linked with disorders including major depression disorder, bipolar disorder, phase delay and phase advance sleep syndromes, breast cancer, and colon cancer. A diverse research work is needed focusing on broad spectrum changes caused by jet lag in brain and neuronal system. This review is an attempt to motivate the researchers to conduct advanced studies in this area to identify the risk factors and mechanisms. Its goal is extended to make the shift workers aware about the risks associated with shiftwork.
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Abstract
Sleep is essential for proper brain function in mammals and insects. During sleep, animals are disconnected from the external world; they show high arousal thresholds and changed brain activity. Sleep deprivation results in a sleep rebound. Research using the fruit fly, Drosophila melanogaster, has helped us understand the genetic and neuronal control of sleep. Genes involved in sleep control code for ion channels, factors influencing neurotransmission and neuromodulation, and proteins involved in the circadian clock. The neurotransmitters/neuromodulators involved in sleep control are GABA, dopamine, acetylcholine, serotonin, and several neuropeptides. Sleep is controlled by the interplay between sleep homeostasis and the circadian clock. Putative sleep-wake centers are located in higher-order brain centers that are indirectly connected to the circadian clock network. The primary function of sleep appears to be the downscaling of synapses that have been built up during wakefulness. Thus, brain homeostasis is maintained and learning and memory are assured.
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Affiliation(s)
- Charlotte Helfrich-Förster
- Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, University of Würzburg, 97074 Würzburg, Germany;
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Melroy-Greif WE, Gizer IR, Wilhelmsen KC, Ehlers CL. Genetic Influences on Evening Preference Overlap with Those for Bipolar Disorder in a Sample of Mexican Americans and American Indians. Twin Res Hum Genet 2017; 20:499-510. [PMID: 29192581 PMCID: PMC6013261 DOI: 10.1017/thg.2017.62] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Diurnal preference (e.g., being an owl or lark) has been associated with several psychiatric disorders including bipolar disorder (BP), major depressive disorder, and substance use disorders. Previous large-scale genome-wide association studies (GWAS) aimed at identifying genetic influences on diurnal preference have exclusively included subjects of European ancestry. This study examined the genetic architecture of diurnal preference in two minority samples: a young adult sample of Mexican Americans (MAs), and a family-based sample of American Indians (AIs). Typed or imputed variants from exome chip data from the MA sample and low pass whole-genome sequencing from the AI cohort were analyzed using a mixed linear model approach for association with being an owl, as defined by a usual bedtime after 23:00 hrs. Genetic risk score (GRS) profiling detected shared genetic risk between evening preference and related disorders. Four variants in KIAA1549 like (KIAA1549L), a gene previously associated with attempted suicide in bipolar patients, were suggestively associated with being an owl at p < 1.82E-05; post hoc analyses showed the top variant trending in both the MA and AI cohorts at p = 2.50E-05 and p = .030, respectively. Variants associated with BP at p < .03 from the Psychiatric Genomics Consortium nominally predicted being an owl in the MA/AI cohort at p = .012. This study provides some additional evidence that genetic risk factors for BP also confer risk for being an owl in MAs/AIs and that evening preference may be a useful endophenotype for future studies of BP.
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Affiliation(s)
| | - Ian R. Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Kirk C. Wilhelmsen
- Renaissance Computing Institute (RENCI), Chapel Hill, NC 27517, USA
- Departments of Genetics and Neurology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Cindy L. Ehlers
- Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037, USA
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Kantojärvi K, Liuhanen J, Saarenpää-Heikkilä O, Satomaa AL, Kylliäinen A, Pölkki P, Jaatela J, Toivola A, Milani L, Himanen SL, Porkka-Heiskanen T, Paavonen J, Paunio T. Variants in calcium voltage-gated channel subunit Alpha1 C-gene (CACNA1C) are associated with sleep latency in infants. PLoS One 2017; 12:e0180652. [PMID: 28792954 PMCID: PMC5549883 DOI: 10.1371/journal.pone.0180652] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 06/19/2017] [Indexed: 12/12/2022] Open
Abstract
Genetic variants in CACNA1C (calcium voltage-gated channel subunit alpha1 C) are associated with bipolar disorder and schizophrenia where sleep disturbances are common. In an experimental model, Cacna1c has been found to modulate the electrophysiological architecture of sleep. There are strong genetic influences for consolidation of sleep in infancy, but only a few studies have thus far researched the genetic factors underlying the process. We hypothesized that genetic variants in CACNA1C affect the regulation of sleep in early development. Seven variants that were earlier associated (genome-wide significantly) with psychiatric disorders at CACNA1C were selected for analyses. The study sample consists of 1086 infants (520 girls and 566 boys) from the Finnish CHILD-SLEEP birth cohort (genotyped by Illumina Infinium PsychArray BeadChip). Sleep length, latency, and nightly awakenings were reported by the parents of the infants with a home-delivered questionnaire at 8 months of age. The genetic influence of CACNA1C variants on sleep in infants was examined by using PLINK software. Three of the examined CACNA1C variants, rs4765913, rs4765914, and rs2239063, were associated with sleep latency (permuted P<0.05). There was no significant association between studied variants and night awakenings or sleep duration. CACNA1C variants for psychiatric disorders were found to be associated with long sleep latency among 8-month-old infants. It remains to be clarified whether the findings refer to defective regulation of sleep, or to distractibility of sleep under external influences.
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Affiliation(s)
- Katri Kantojärvi
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Johanna Liuhanen
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | | | - Anna-Liisa Satomaa
- Department of Clinical Neurophysiology, Tampere University Hospital, Medical Imaging Centre and Hospital Pharmacy, Pirkanmaa Hospital District, Tampere, Finland
| | - Anneli Kylliäinen
- School of Social Sciences and Humanities/Psychology, University of Tampere, Tampere, Finland
| | - Pirjo Pölkki
- Department of Social Sciences, University of Eastern Finland, Kuopio, Finland
| | - Julia Jaatela
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Auli Toivola
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Lili Milani
- The Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Sari-Leena Himanen
- Department of Clinical Neurophysiology, Tampere University Hospital, Medical Imaging Centre and Hospital Pharmacy, Pirkanmaa Hospital District, Tampere, Finland
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | | | - Juulia Paavonen
- Child and Adolescent Mental Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Tiina Paunio
- Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland
- Department of Psychiatry, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
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Spira AP, An Y, Peng Y, Wu MN, Simonsick EM, Ferrucci L, Resnick SM. APOE Genotype and Nonrespiratory Sleep Parameters in Cognitively Intact Older Adults. Sleep 2017; 40:3800071. [PMID: 28482100 PMCID: PMC5804995 DOI: 10.1093/sleep/zsx076] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Study Objectives The apolipoprotein E (APOE) Ɛ4 allele increases Alzheimer's disease (AD) risk and has been linked to a greater risk of sleep-disordered breathing. We investigated the association of APOE genotype with nonrespiratory sleep parameters. Methods We studied 1264 cognitively normal participants in the Baltimore Longitudinal Study of Aging (mean = 57.5 ± 16.1 years, range 19.9-92.0, 48.2% women, 19.8% African American) with APOE genotyping and self-reported sleep duration (≥9, 7 or 8, ≤6 hours), difficulty falling/staying asleep, and napping. We compared Ɛ4 carriers with all noncarriers and compared persons at reduced (Ɛ2/Ɛ2 or Ɛ2/Ɛ3) or elevated AD risk (≥1 Ɛ4 allele) with those neutral for AD risk (Ɛ3/Ɛ3). Results In fully adjusted models, those with ≥1 Ɛ4 allele had a greater odds of being in a shorter sleep duration category compared to all noncarriers (odds ratio [OR] = 1.41, 95% confidence interval [CI] 1.06, 1.88) and Ɛ3/Ɛ3 carriers (OR = 1.43, 95% CI 1.06, 1.92). Compared to Ɛ3/Ɛ3 carriers, Ɛ2/Ɛ2 or Ɛ2/Ɛ3 carriers had a lower odds of reporting napping (OR = 0.64, 95% CI 0.43, 0.96). Among participants aged ≥50 years, sleep duration findings remained and Ɛ4 carriers had a greater odds of trouble falling/staying asleep than noncarriers (OR = 1.49, 95% CI 1.02, 2.17). We found some evidence for stronger associations of Ɛ4 with sleep duration among African Americans. Conclusions Self-reported sleep duration, napping, and trouble falling/staying asleep differ by APOE genotype. Studies are needed to examine whether APOE promotes AD by degrading sleep and to clarify the role of race in these associations.
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Affiliation(s)
- Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
- Johns Hopkins Center on Aging and Health, Baltimore, MD
| | - Yang An
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Yu Peng
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Mark N Wu
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Eleanor M Simonsick
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
| | - Susan M Resnick
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD
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Buroker NE, Ning XH, Zhou ZN, Li K, Cen WJ, Wu XF, Zhu WZ, Scott CR, Chen SH. SNPs, linkage disequilibrium, and chronic mountain sickness in Tibetan Chinese. HYPOXIA 2017; 5:67-74. [PMID: 28770234 PMCID: PMC5529112 DOI: 10.2147/hp.s117967] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Chronic mountain sickness (CMS) is estimated at 1.2% in Tibetans living at the Qinghai-Tibetan Plateau. Eighteen single-nucleotide polymorphisms (SNPs) from nine nuclear genes that have an association with CMS in Tibetans have been analyzed by using pairwise linkage disequilibrium (LD). The SNPs included are the angiotensin-converting enzyme (rs4340), the angiotensinogen (rs699), and the angiotensin II type 1 receptor (AGTR1) (rs5186) from the renin-angiotensin system. A low-density lipoprotein apolipoprotein B (rs693) SNP was also included. From the hypoxia-inducible factor oxygen signaling pathway, the endothetal Per-Arnt-Sim domain protein 1 (EPAS1) and the egl nine homolog 1 (ENGL1) (rs480902) SNPs were included in the study. SNPs from the vascular endothelial growth factor (VEGF) signaling pathway included are the v-akt murine thymoma viral oncogene homolog 3 (rs4590656 and rs2291409), the endothelial cell nitric oxide synthase 3 (rs1007311 and rs1799983), and the (VEGFA) (rs699947, rs34357231, rs79469752, rs13207351, rs28357093, rs1570360, rs2010963, and rs3025039). An increase in LD occurred in 40 pairwise comparisons, whereas a decrease in LD was found in 55 pairwise comparisons between the controls and CMS patients. These changes were found to occur within and between signaling pathways, which suggests that there is an interaction between SNP alleles from different areas of the genome that affect CMS.
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Affiliation(s)
| | - Xue-Han Ning
- Department of Pediatrics, University of Washington.,Division of Cardiology, Seattle Children's Hospital Research Foundation, Seattle, WA, USA
| | - Zhao-Nian Zhou
- Laboratory of Hypoxia Physiology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Kui Li
- Lhasa People Hospital, Lhasa, Tibet
| | | | - Xiu-Feng Wu
- Laboratory of Hypoxia Physiology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Wei-Zhong Zhu
- Center for Cardiovascular Biology and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | | | - Shi-Han Chen
- Department of Pediatrics, University of Washington
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Identifying pathways modulating sleep duration: from genomics to transcriptomics. Sci Rep 2017; 7:4555. [PMID: 28676676 PMCID: PMC5496883 DOI: 10.1038/s41598-017-04027-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 05/10/2017] [Indexed: 01/02/2023] Open
Abstract
Recognizing that insights into the modulation of sleep duration can emerge by exploring the functional relationships among genes, we used this strategy to explore the genome-wide association results for this trait. We detected two major signalling pathways (ion channels and the ERBB signalling family of tyrosine kinases) that could be replicated across independent GWA studies meta-analyses. To investigate the significance of these pathways for sleep modulation, we performed transcriptome analyses of short sleeping flies’ heads (knockdown for the ABCC9 gene homolog; dSur). We found significant alterations in gene-expression in the short sleeping knockdowns versus controls flies, which correspond to pathways associated with sleep duration in our human studies. Most notably, the expression of Rho and EGFR (members of the ERBB signalling pathway) genes was down- and up-regulated, respectively, consistently with the established role of these genes for sleep consolidation in Drosophila. Using a disease multifactorial interaction network, we showed that many of the genes of the pathways indicated to be relevant for sleep duration had functional evidence of their involvement with sleep regulation, circadian rhythms, insulin secretion, gluconeogenesis and lipogenesis.
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Veatch OJ, Keenan BT, Gehrman PR, Malow BA, Pack AI. Pleiotropic genetic effects influencing sleep and neurological disorders. Lancet Neurol 2017; 16:158-170. [PMID: 28102151 DOI: 10.1016/s1474-4422(16)30339-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Revised: 10/04/2016] [Accepted: 11/09/2016] [Indexed: 10/20/2022]
Abstract
Research evidence increasingly points to the large impact of sleep disturbances on public health. Many aspects of sleep are heritable and genes influencing traits such as timing, EEG characteristics, sleep duration, and response to sleep loss have been identified. Notably, large-scale genome-wide analyses have implicated numerous genes with small effects on sleep timing. Additionally, there has been considerable progress in the identification of genes influencing risk for some neurological sleep disorders. For restless legs syndrome, implicated variants are typically in genes associated with neuronal development. By contrast, genes conferring risk for narcolepsy function in the immune system. Many genetic variants associated with sleep disorders are also implicated in neurological disorders in which sleep abnormalities are common; for example, variation in genes involved in synaptic homoeostasis are implicated in autism spectrum disorder and sleep-wake control. Further investigation into pleiotropic roles of genes influencing both sleep and neurological disorders could lead to new treatment strategies for a variety of sleep disturbances.
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Affiliation(s)
- Olivia J Veatch
- Department of Neurology, Vanderbilt University, Nashville, TN, USA; Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Philip R Gehrman
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Beth A Malow
- Department of Neurology, Vanderbilt University, Nashville, TN, USA
| | - Allan I Pack
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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49
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Circadian Rhythms and Sleep in Drosophila melanogaster. Genetics 2017; 205:1373-1397. [PMID: 28360128 DOI: 10.1534/genetics.115.185157] [Citation(s) in RCA: 226] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Accepted: 11/17/2016] [Indexed: 02/07/2023] Open
Abstract
The advantages of the model organism Drosophila melanogaster, including low genetic redundancy, functional simplicity, and the ability to conduct large-scale genetic screens, have been essential for understanding the molecular nature of circadian (∼24 hr) rhythms, and continue to be valuable in discovering novel regulators of circadian rhythms and sleep. In this review, we discuss the current understanding of these interrelated biological processes in Drosophila and the wider implications of this research. Clock genes period and timeless were first discovered in large-scale Drosophila genetic screens developed in the 1970s. Feedback of period and timeless on their own transcription forms the core of the molecular clock, and accurately timed expression, localization, post-transcriptional modification, and function of these genes is thought to be critical for maintaining the circadian cycle. Regulators, including several phosphatases and kinases, act on different steps of this feedback loop to ensure strong and accurately timed rhythms. Approximately 150 neurons in the fly brain that contain the core components of the molecular clock act together to translate this intracellular cycling into rhythmic behavior. We discuss how different groups of clock neurons serve different functions in allowing clocks to entrain to environmental cues, driving behavioral outputs at different times of day, and allowing flexible behavioral responses in different environmental conditions. The neuropeptide PDF provides an important signal thought to synchronize clock neurons, although the details of how PDF accomplishes this function are still being explored. Secreted signals from clock neurons also influence rhythms in other tissues. SLEEP is, in part, regulated by the circadian clock, which ensures appropriate timing of sleep, but the amount and quality of sleep are also determined by other mechanisms that ensure a homeostatic balance between sleep and wake. Flies have been useful for identifying a large set of genes, molecules, and neuroanatomic loci important for regulating sleep amount. Conserved aspects of sleep regulation in flies and mammals include wake-promoting roles for catecholamine neurotransmitters and involvement of hypothalamus-like regions, although other neuroanatomic regions implicated in sleep in flies have less clear parallels. Sleep is also subject to regulation by factors such as food availability, stress, and social environment. We are beginning to understand how the identified molecules and neurons interact with each other, and with the environment, to regulate sleep. Drosophila researchers can also take advantage of increasing mechanistic understanding of other behaviors, such as learning and memory, courtship, and aggression, to understand how sleep loss impacts these behaviors. Flies thus remain a valuable tool for both discovery of novel molecules and deep mechanistic understanding of sleep and circadian rhythms.
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Abstract
The circadian clock interacts with the sleep homeostatic drive in humans. Chronotype and sleep parameters show substantial heritability, underscoring a genetic component to these measures. This article reviews the genetic underpinnings of chronotype and of sleep, including sleepiness, sleep quality and latency, and sleep timing and duration in healthy adult sleepers, drawing on candidate gene and genome-wide association studies. Notably, both circadian and noncircadian genes associate with individual differences in chronotype and in sleep parameters. The article concludes with a brief discussion of future research directions.
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Affiliation(s)
- Namni Goel
- Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 1017 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104-6021, USA.
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