1
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Santarriaga S, Gerlovin K, Layadi Y, Karmacharya R. Human stem cell-based models to study synaptic dysfunction and cognition in schizophrenia: A narrative review. Schizophr Res 2024; 273:78-97. [PMID: 36925354 PMCID: PMC10500041 DOI: 10.1016/j.schres.2023.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/18/2023]
Abstract
Cognitive impairment is the strongest predictor of functional outcomes in schizophrenia and is hypothesized to result from synaptic dysfunction. However, targeting synaptic plasticity and cognitive deficits in patients remains a significant clinical challenge. A comprehensive understanding of synaptic plasticity and the molecular basis of learning and memory in a disease context can provide specific targets for the development of novel therapeutics targeting cognitive impairments in schizophrenia. Here, we describe the role of synaptic plasticity in cognition, summarize evidence for synaptic dysfunction in schizophrenia and demonstrate the use of patient derived induced-pluripotent stem cells for studying synaptic plasticity in vitro. Lastly, we discuss current advances and future technologies for bridging basic science research of synaptic dysfunction with clinical and translational research that can be used to predict treatment response and develop novel therapeutics.
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Affiliation(s)
- Stephanie Santarriaga
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kaia Gerlovin
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yasmine Layadi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chimie ParisTech, Université Paris Sciences et Lettres, Paris, France
| | - Rakesh Karmacharya
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.
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2
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Xu X, Wang Q, Zhang Z, Jiao Z, Ouyang X, Tao H, Zhao Y, Guo H, Liu T, Tan L. Polysomnographic features of insomnia occurring in major depressive disorder, generalized anxiety disorder and bipolar mania: Comparison with primary insomnia and association with metabolic indicators. J Affect Disord 2024; 351:449-457. [PMID: 38296060 DOI: 10.1016/j.jad.2024.01.217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 01/21/2024] [Accepted: 01/25/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Insomnia is very common in psychiatric disorders, but the polysomnographic (PSG) characteristics of insomnia in various psychiatric disorders are still not agreed upon. This study aimed to investigate the characteristics of PSG and its relationship with metabolic indicators in insomnia patients with affective disorders and primary insomnia (PI) patients. METHODS A total of 38 patients with PI, 44 major depressive disorder patients with insomnia (DI), 49 generalized anxiety disorder patients with insomnia (GI), and 19 bipolar mania patients with insomnia (BI) were included. PSG was used to detect sleep problems in subjects, and biochemical indicators were also collected. RESULTS The results of this study found that subjects with BI were lower on REM sleep latency (RL), awakenings number (AN), number of microarousals (NM), and apnea-hypopnea index (AHI) than those with DI and GI, and lower on RL and AN than those with PI. Subjects with PI had lower NM and AHI than those with DI and GI. Patients with DI had a higher RL than those with GI. All results passed Bonferroni correction (p < 0.00078). No differences in biochemical indices were found among the four groups of subjects. Also, AHI was found to be positively correlated with free triiodothyronine (FT3) and fasting blood glucose in subjects. CONCLUSION This study suggests that various psychiatric disorders may have their characteristics in terms of PSG parameters, which prompted us to focus on the PSG characteristics of these disorders when assessing them, as well as to focus on their biochemical indicators.
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Affiliation(s)
- Xiyu Xu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Qianjin Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Zhuoran Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; The Peking University Sixth Hospital (Institute of Mental Health), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health, (Peking University), Beijing, China
| | - Ziqiao Jiao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xuan Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Haojuan Tao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yixin Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huili Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Tieqiao Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Liwen Tan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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3
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Martinez-Esteve Melnikova A, Pijuan J, Aparicio J, Ramírez A, Altisent-Huguet A, Vilanova-Adell A, Arzimanoglou A, Armstrong J, Palau F, Hoenicka J, San Antonio-Arce V. The p.Glu787Lys variant in the GRIA3 gene causes developmental and epileptic encephalopathy mimicking structural epilepsy in a female patient. Eur J Med Genet 2022; 65:104442. [DOI: 10.1016/j.ejmg.2022.104442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 12/28/2021] [Accepted: 01/22/2022] [Indexed: 11/03/2022]
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4
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Rinaldi B, Ge YH, Freri E, Tucci A, Granata T, Estienne M, Sun JH, Gérard B, Bayat A, Efthymiou S, Gervasini C, Shi YS, Houlden H, Marchisio P, Milani D. Myoclonic status epilepticus and cerebellar hypoplasia associated with a novel variant in the GRIA3 gene. Neurogenetics 2021; 23:27-35. [PMID: 34731330 PMCID: PMC8782781 DOI: 10.1007/s10048-021-00666-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/01/2021] [Indexed: 11/28/2022]
Abstract
AMPA-type glutamate receptors (AMPARs) are postsynaptic ionotropic receptors which mediate fast excitatory currents. AMPARs have a heterotetrameric structure, variably composed by the four subunits GluA1-4 which are encoded by genes GRIA1-4. Increasing evidence support the role of pathogenic variants in GRIA1-4 genes as causative for syndromic intellectual disability (ID). We report an Italian pedigree where some male individuals share ID, seizures and facial dysmorphisms. The index subject was referred for severe ID, myoclonic seizures, cerebellar signs and short stature. Whole exome sequencing identified a novel variant in GRIA3, c.2360A > G, p.(Glu787Gly). The GRIA3 gene maps to chromosome Xq25 and the c.2360A > G variant was transmitted by his healthy mother. Subsequent analysis in the family showed a segregation pattern compatible with the causative role of this variant, further supported by preliminary functional insights. We provide a detailed description of the clinical evolution of the index subjects and stress the relevance of myoclonic seizures and cerebellar syndrome as cardinal features of his presentation.
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Affiliation(s)
- Berardo Rinaldi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Yu-Han Ge
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Department of Neurology, Drum Tower Hospital, Medical School, Nanjing University, Nanjing, China.,State Key Laboratory of Pharmaceutical Biotechnology, Model Animal Research Center, Institute for Brain Sciences, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, China
| | - Elena Freri
- Department of Pediatric Neuroscience, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - Arianna Tucci
- Clinical Pharmacology, William Harvey Research Institute, School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK.
| | - Tiziana Granata
- Department of Pediatric Neuroscience, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - Margherita Estienne
- Department of Pediatric Neuroscience, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
| | - Jia-Hui Sun
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Department of Neurology, Drum Tower Hospital, Medical School, Nanjing University, Nanjing, China.,State Key Laboratory of Pharmaceutical Biotechnology, Model Animal Research Center, Institute for Brain Sciences, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, China
| | - Bénédicte Gérard
- Laboratoires de diagnostic génétique, Institut Medical d'Alsace, Hôpitaux Universitaire de Strasbourg, Strasbourg, France
| | - Allan Bayat
- Department for Genetics and Personalized Medicine, Danish Epilepsy Centre, Dianalund, Denmark.,Institute for Regional Health Services Research, University of Southern Denmark, Odense, Denmark
| | - Stephanie Efthymiou
- Department of Neuromuscular disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Cristina Gervasini
- Medical Genetics, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Yun Stone Shi
- Ministry of Education Key Laboratory of Model Animal for Disease Study, Department of Neurology, Drum Tower Hospital, Medical School, Nanjing University, Nanjing, China. .,State Key Laboratory of Pharmaceutical Biotechnology, Model Animal Research Center, Institute for Brain Sciences, Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing, China.
| | - Henry Houlden
- Department of Neuromuscular disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Paola Marchisio
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Donatella Milani
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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5
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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: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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6
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Sõõru E, Hazak A, Rebane M. Does chronotype restrict the employment options of creative R&D professionals? BIOL RHYTHM RES 2018. [DOI: 10.1080/09291016.2018.1528681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Erve Sõõru
- Internal Medicine Clinic, North Estonia Medical Centre, Tallinn, Estonia
- Department of Health Technologies, Tallinn University of Technology, Tallinn, Estonia
| | - Aaro Hazak
- Department of Economics and Finance, Tallinn University of Technology, Tallinn, Estonia
| | - Marit Rebane
- Department of Economics and Finance, Tallinn University of Technology, Tallinn, Estonia
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7
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Jankowski KS, Dmitrzak-Weglarz M. ARNTL, CLOCK and PER3 polymorphisms - links with chronotype and affective dimensions. Chronobiol Int 2017; 34:1105-1113. [PMID: 28708003 DOI: 10.1080/07420528.2017.1343341] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2017] [Revised: 06/02/2017] [Accepted: 06/13/2017] [Indexed: 12/19/2022]
Abstract
Recently, seven single nucleotide polymorphisms (SNPs) of ARNTL, TIM and PER3 genes were found associated with affective temperaments in bipolar disorder patients. This study aimed to test whether a) the same associations appear in a non-clinical sample; b) the SNPs are related to other affective dimensions; c) the SNPs underpin the associations between chronotype and affective temperaments/dimensions. Three hundred thirty-eight university students completed the Temperament Scale of Memphis, Pisa, Paris and San Diego Auto-questionnaire, the Centre for Epidemiological Studies Depression Scale, the Perceived Stress Scale, the General Health Questionnaire, the Seasonal Pattern Assessment Questionnaire and the Composite Scale of Morningness. Seven SNPs of the ARNTL, TIM and PER3 genes were genotyped. According to nominal significance, ARNTL rs7107287 was associated with a cyclothymic temperament, depressive and stress symptoms, general mental health and perceived negative impact of seasonality, while TIM rs10876890 was associated with a hyperthymic temperament, and the TIM rs2291738 was associated with chronotype. Different SNPs were related to chronotype and affective temperaments/dimensions, and therefore, they seem to not underpin relationships between chronotype and affective dysfunction, that is, in the present study, eveningness was related to dysthymic, cyclothymic and irritable temperaments, more symptoms of depression, stress, worse mental health and a negative impact of seasonality, while morningness was related to hyperthymic temperament. The SNPs associations need further replication given that they did not achieve Bonferroni criteria of significance accounting for the number of polymorphisms considered and tests conducted.
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Affiliation(s)
| | - Monika Dmitrzak-Weglarz
- b Psychiatric Genetics Unit, Department of Psychiatry , Poznan University of Medical Sciences , Poznan , Poland
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8
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Chiu YL, Kao S, Tou SW, Lin FG. Effect of personal characteristics, victimization types, and family- and school-related factors on psychological distress in adolescents with intellectual disabilities. Psychiatry Res 2017; 248:48-55. [PMID: 28006715 DOI: 10.1016/j.psychres.2016.12.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 11/02/2016] [Accepted: 12/08/2016] [Indexed: 02/05/2023]
Abstract
The purpose of this study was to determine the prevalence of bullying victimization among adolescents with intellectual disabilities and the influence of victimization experience on their mental health in Taiwan. Data on 706 adolescents from the 2011 Special Needs Education Longitudinal Study were analyzed. Multivariate regression analysis was applied to variables comprising 7 items of psychological distress, 4 types of bullying victimization, and family-, school-, and peer-related factors. Approximately 70% of the survey respondents had experienced at least one type of victimization, and 44% of them had experienced at least two types of victimization. Exclusion (50%) and verbal bullying (70%) were the most commonly reported types. In addition, exclusion and verbal bullying were found to be significantly associated with psychological distress in these adolescents. Our findings suggest that victimization is a common experience among adolescents with disabilities, and a notable risk factor for the psychological well-being of adolescents with intellectual disabilities. However, a good relationship with parents and peers can relieve psychological distress and its effect on mental health.
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Affiliation(s)
- Yu-Lung Chiu
- Graduate Institute of Medical Sciences, National Defense Medical Center, No. 161, Min-Chun E. Rd., Section 6, Taipei 114, Taiwan; School of Public Health, National Defense Medical Center, No. 161, Min-Chun E. Rd., Section 6, Taipei 114, Taiwan
| | - Senyeong Kao
- School of Public Health, National Defense Medical Center, No. 161, Min-Chun E. Rd., Section 6, Taipei 114, Taiwan.
| | - Shao-Wen Tou
- School of Public Health, National Defense Medical Center, No. 161, Min-Chun E. Rd., Section 6, Taipei 114, Taiwan
| | - Fu-Gong Lin
- School of Public Health, National Defense Medical Center, No. 161, Min-Chun E. Rd., Section 6, Taipei 114, Taiwan.
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9
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Sheng CS, Cheng YB, Wei FF, Yang WY, Guo QH, Li FK, Huang QF, Thijs L, Staessen JA, Wang JG, Li Y. Diurnal Blood Pressure Rhythmicity in Relation to Environmental and Genetic Cues in Untreated Referred Patients. Hypertension 2017; 69:128-135. [DOI: 10.1161/hypertensionaha.116.07958] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2016] [Revised: 06/23/2016] [Accepted: 10/11/2016] [Indexed: 11/16/2022]
Abstract
No previous study has addressed the relative contributions of environmental and genetic cues to the diurnal blood pressure rhythmicity. From 24-hour ambulatory recordings of systolic blood pressure obtained in untreated patients (51% women; mean age, 51 years), we computed the night-to-day ratio in 897 and morning surge in 637. Environmental cues included season, mean daily outdoor temperature, atmospheric pressure, humidity and weekday, and the genetic cues 14 single nucleotide polymorphisms in 10 clock genes. Systolic blood pressure averaged (±SD) 126.7±11.9 mm Hg, night-to-day ratio 0.86±0.07, and morning surge 24.8±10.7 mm Hg. In adjusted analyses, night-to-day ratio was 2.4% higher in summer and 1.8% lower in winter (
P
<0.001) compared with the annual average with a small effect of temperature (
P
=0.079); morning surge was 1.7 mm Hg lower in summer and 1.1 mm Hg higher in winter (
P
<0.001). The other environmental cues did not add to the night-to-day ratio or morning surge variance (
P
≥0.37). Among the 14 genetic variations, only
CLOCK
rs180260 was significantly associated with morning surge after adjustment for season, temperature, and other host factors and after Bonferroni correction (
P
=0.044). In
CLOCK
rs1801260
C
allele carriers (n=83), morning surge was 3.7 mm Hg higher than in
TT
homozygotes (n=554). Of the night-to-day ratio and morning surge variance, season and temperature explained ≈8% and ≈3%, while for genetic cues, these proportions were ≈1% or less. In conclusion, environmental compared with genetic cues are substantially stronger drivers of the diurnal blood pressure rhythmicity.
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Affiliation(s)
- Chang-Sheng Sheng
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Yi-Bang Cheng
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Fang-Fei Wei
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Wen-Yi Yang
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Qian-Hui Guo
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Fei-Ka Li
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Qi-Fang Huang
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Lutgarde Thijs
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Jan A. Staessen
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Ji-Guang Wang
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
| | - Yan Li
- From the Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Laboratory of Hypertension, The Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, China (C.-S.S., Y.-B.C., Q.-H.G., F.-K.L., Q.-F.H., J.-G.W., Y.L.); Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (F.-F.W., W.-Y.Y., L
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10
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Genetic Correlates of Individual Differences in Sleep Behavior of Free-Living Great Tits (Parus major). G3-GENES GENOMES GENETICS 2016; 6:599-607. [PMID: 26739645 PMCID: PMC4777123 DOI: 10.1534/g3.115.024216] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Within populations, free-living birds display considerable variation in observable sleep behaviors, reflecting dynamic interactions between individuals and their environment. Genes are expected to contribute to repeatable between-individual differences in sleep behaviors, which may be associated with individual fitness. We identified and genotyped polymorphisms in nine candidate genes for sleep, and measured five repeatable sleep behaviors in free-living great tits (Parus major), partly replicating a previous study in blue tits (Cyanistes caeruleus). Microsatellites in the CLOCK and NPAS2 clock genes exhibited an association with sleep duration relative to night length, and morning latency to exit the nest box, respectively. Furthermore, microsatellites in the NPSR1 and PCSK2 genes associated with relative sleep duration and proportion of time spent awake at night, respectively. Given the detection rate of associations in the same models run with random markers instead of candidate genes, we expected two associations to arise by chance. The detection of four associations between candidate genes and sleep, however, suggests that clock genes, a clock-related gene, or a gene involved in the melanocortin system, could play key roles in maintaining phenotypic variation in sleep behavior in avian populations. Knowledge of the genetic architecture underlying sleep behavior in the wild is important because it will enable ecologists to assess the evolution of sleep in response to selection.
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11
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Gottlieb DJ, Hek K, Chen TH, Watson NF, Eiriksdottir G, Byrne EM, Cornelis M, Warby SC, Bandinelli S, Cherkas L, Evans DS, Grabe HJ, Lahti J, Li M, Lehtimäki T, Lumley T, Marciante KD, Pérusse L, Psaty BM, Robbins J, Tranah GJ, Vink JM, Wilk JB, Stafford JM, Bellis C, Biffar R, Bouchard C, Cade B, Curhan GC, Eriksson JG, Ewert R, Ferrucci L, Fülöp T, Gehrman PR, Goodloe R, Harris TB, Heath AC, Hernandez D, Hofman A, Hottenga JJ, Hunter DJ, Jensen MK, Johnson AD, Kähönen M, Kao L, Kraft P, Larkin EK, Lauderdale DS, Luik AI, Medici M, Montgomery GW, Palotie A, Patel SR, Pistis G, Porcu E, Quaye L, Raitakari O, Redline S, Rimm EB, Rotter JI, Smith AV, Spector TD, Teumer A, Uitterlinden AG, Vohl MC, Widen E, Willemsen G, Young T, Zhang X, Liu Y, Blangero J, Boomsma DI, Gudnason V, Hu F, Mangino M, Martin NG, O’Connor GT, Stone KL, Tanaka T, Viikari J, Gharib SA, Punjabi NM, Räikkönen K, Völzke H, Mignot E, Tiemeier H. Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study. Mol Psychiatry 2015; 20:1232-9. [PMID: 25469926 PMCID: PMC4430294 DOI: 10.1038/mp.2014.133] [Citation(s) in RCA: 85] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Revised: 09/01/2014] [Accepted: 09/04/2014] [Indexed: 12/22/2022]
Abstract
Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based cohorts totaling 47 180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35- to 80-kb upstream from the thyroid-specific transcription factor PAX8 (lowest P=1.1 × 10(-9)). This finding was replicated in an African-American sample of 4771 individuals (lowest P=9.3 × 10(-4)). The strongest combined association was at rs1823125 (P=1.5 × 10(-10), minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 min longer per night. The alleles associated with longer sleep duration were associated in previous GWAS with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.
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Affiliation(s)
- Daniel J. Gottlieb
- VA Boston Healthcare System, Boston, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA
- Boston University School of Medicine, Boston, MA
- The NHLBI’s Framingham Heart Study, Framingham, MA
| | - Karin Hek
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Ting-hsu Chen
- VA Boston Healthcare System, Boston, MA
- Boston University School of Medicine, Boston, MA
| | - Nathaniel F. Watson
- Department of Neurology, University of Washington, Seattle, WA
- UW Medicine Sleep Center, University of Washington, Seattle, WA
| | | | - Enda M. Byrne
- The University of Queensland, Queensland Brain Institute, QLD, Australia
- Queensland Institute of Medical Research, Brisbane, Australia
| | - Marilyn Cornelis
- Department of Nutrition, Harvard School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Simon C. Warby
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA
| | | | - Lynn Cherkas
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, HELIOS-Hospital Stralsund, University Medicine Greifswald, Germany
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
- Folkhalsan Research Centre, Helsinki, Finland
| | - Man Li
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland
| | - Thomas Lumley
- Department of Statistics, University of Auckland, New Zealand
| | - Kristin D. Marciante
- Department of Medicine, University of Washington, Seattle, WA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Louis Pérusse
- Department of Kinesiology, Laval University, Quebec, Canada
- Institute of Nutrition and Functional Foods, Laval University, Quebec, Canada
| | - Bruce M. Psaty
- Department of Medicine, University of Washington, Seattle, WA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Epidemiology and Health Services, University of Washington, Seattle, WA
- Group Health Research Institute, Group Health Cooperative, Seattle, WA
| | - John Robbins
- Department of Internal Medicine, University of California Davis, Sacramento CA
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Jacqueline M. Vink
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | | | - Jeanette M. Stafford
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Claire Bellis
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Reiner Biffar
- Department of Prosthodontics, Gerodontology and Dental Materials, Center of Oral Health, University Medicine Greifswald, Germany
| | - Claude Bouchard
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA
| | - Gary C. Curhan
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Johan G. Eriksson
- Folkhalsan Research Centre, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Helsinki University Central Hospital, Helsinki, Finland
- National Institute for Health and Welfare, Finland
- Vasa Central Hospital, Vasa, Finland
| | - Ralf Ewert
- Department of Internal Medicine B – Cardiology, Pulmonary Medicine, Infectious Diseases and Intensive Care Medicine, University Medicine Greifswald, Germany
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD
| | - Tibor Fülöp
- University of Mississippi Medical Center, Jackson, MS
| | - Philip R. Gehrman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Robert Goodloe
- Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN
| | - Tamara B. Harris
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD
| | - Andrew C. Heath
- Department of Psychiatry, Washington University School of Medicine, StLouis, MO
| | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD
| | - Albert Hofman
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - David J. Hunter
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, MA
| | - Majken K. Jensen
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Andrew D. Johnson
- NHLBI Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, Framingham, MA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and School of Medicine, University of Tampere, Tampere, Finland
| | - Linda Kao
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
- Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, MA
| | | | | | - Annemarie I. Luik
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Marco Medici
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Meta-Thyroid Consortium
| | | | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics and Genetic Analysis Platform, The Broad Institute of MIT and Harvard, Cambridge, MA
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - Sanjay R. Patel
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA
| | - Giorgio Pistis
- Meta-Thyroid Consortium
- Division of Genetics and Cell Biology, San Raffaele Research Institute, Milano, Italy
- Universita` degli Studi di Trieste, Trieste, Italy
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Universita` di Sassari, Sassari, Italy
| | - Eleonora Porcu
- Meta-Thyroid Consortium
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy
- Dipartimento di Scienze Biomediche, Universita` di Sassari, Sassari, Italy
| | - Lydia Quaye
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, and Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham & Women’s Hospital, Boston MA
| | - Eric B. Rimm
- Department of Nutrition, Harvard School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Albert V. Smith
- Icelandic Heart Association, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald
| | - André G. Uitterlinden
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods, Laval University, Quebec, Canada
- Department of Food Science and Nutrition, Laval University, Quebec, Canada
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Gonneke Willemsen
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Terry Young
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI
| | - Xiaoling Zhang
- NHLBI Cardiovascular Epidemiology and Human Genomics Branch, The Framingham Heart Study, Framingham, MA
| | - Yongmei Liu
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - John Blangero
- Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Dorret I. Boomsma
- Department of Biological Psychology, Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Frank Hu
- Department of Nutrition, Harvard School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | | | - George T. O’Connor
- Boston University School of Medicine, Boston, MA
- The NHLBI’s Framingham Heart Study, Framingham, MA
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore MD
| | - Jorma Viikari
- Department of Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Sina A. Gharib
- UW Medicine Sleep Center, University of Washington, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
| | - Naresh M. Punjabi
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
- Department of Medicine, Johns Hopkins University School of Medicine
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald
| | - Emmanuel Mignot
- Center for Sleep Sciences and Medicine, Stanford University, Palo Alto, CA
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Epidemiological and Social Psychiatric Research Institute, Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC, Rotterdam, The Netherlands
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12
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Kumar D, Dedic N, Flachskamm C, Voulé S, Deussing JM, Kimura M. Cacna1c (Cav1.2) Modulates Electroencephalographic Rhythm and Rapid Eye Movement Sleep Recovery. Sleep 2015; 38:1371-80. [PMID: 25845695 DOI: 10.5665/sleep.4972] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 02/25/2015] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES The CACNA1C gene encodes the alpha 1C (α1C) subunit of the Cav1.2 voltage-dependent L-type calcium channel (LTCC). Some of the other voltage-dependent calcium channels, e.g., P-/Q-type, Cav2.1; N-type, Cav2.2; E-/R-type, Cav2.3; and T-type, Cav3.3 have been implicated in sleep modulation. However, the contribution of LTCCs to sleep remains largely unknown. Based on recent genome-wide association studies, CACNA1C emerged as one of potential candidate genes associated with both sleep and psychiatric disorders. Indeed, most patients with mental illnesses have sleep problems and vice versa. DESIGN To investigate an impact of Cav1.2 on sleep-wake behavior and electroencephalogram (EEG) activity, polysomnography was performed in heterozygous Cacna1c (HET) knockout mice and their wild-type (WT) littermates under baseline and challenging conditions (acute sleep deprivation and restraint stress). MEASUREMENTS AND RESULTS HET mice displayed significantly lower EEG spectral power than WT mice across high frequency ranges (beta to gamma) during wake and rapid eye movement (REM) sleep. Although HET mice spent slightly more time asleep in the dark period, daily amounts of sleep did not differ between the two genotypes. However, recovery sleep after exposure to both types of challenging stress conditions differed markedly; HET mice exhibited reduced REM sleep recovery responses compared to WT mice. CONCLUSIONS These results suggest the involvement of Cacna1c (Cav1.2) in fast electroencephalogram oscillations and REM sleep regulatory processes. Lower spectral gamma activity, slightly increased sleep demands, and altered REM sleep responses found in heterozygous Cacna1c knockout mice may rather resemble a sleep phenotype observed in schizophrenia patients.
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Affiliation(s)
| | - Nina Dedic
- Max Planck Institute of Psychiatry, Munich, Germany.,Institute of Developmental Genetics, Helmholtz Zentrum München, Neuherberg, Germany
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13
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Halder I, Matthews KA, Buysse DJ, Strollo PJ, Causer V, Reis SE, Hall MH. African Genetic Ancestry is Associated with Sleep Depth in Older African Americans. Sleep 2015; 38:1185-93. [PMID: 25845688 DOI: 10.5665/sleep.4888] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 01/31/2015] [Indexed: 02/05/2023] Open
Abstract
STUDY OBJECTIVES The mechanisms that underlie differences in sleep characteristics between European Americans (EA) and African Americans (AA) are not fully known. Although social and psychological processes that differ by race are possible mediators, the substantial heritability of sleep characteristics also suggests genetic underpinnings of race differences. We hypothesized that racial differences in sleep phenotypes would show an association with objectively measured individual genetic ancestry in AAs. DESIGN Cross sectional. SETTING Community-based study. PARTICIPANTS Seventy AA adults (mean age 59.5 ± 6.7 y; 62% female) and 101 EAs (mean age 60.5 ± 7 y, 39% female). MEASUREMENTS AND RESULTS Multivariate tests were used to compare the Pittsburgh Sleep Quality Index (PSQI) and in-home polysomnographic measures of sleep duration, sleep efficiency, apnea-hypopnea index (AHI), and indices of sleep depth including percent visually scored slow wave sleep (SWS) and delta EEG power of EAs and AAs. Sleep duration, efficiency, and sleep depth differed significantly by race. Individual % African ancestry (%AF) was measured in AA subjects using a panel of 1698 ancestry informative genetic markers and ranged from 10% to 88% (mean 67%). Hierarchical linear regression showed that higher %AF was associated with lower percent SWS in AAs (β (standard error) = -4.6 (1.5); P = 0.002), and explained 11% of the variation in SWS after covariate adjustment. A similar association was observed for delta power. No association was observed for sleep duration and efficiency. CONCLUSION African genetic ancestry is associated with indices of sleep depth in African Americans. Such an association suggests that part of the racial differences in slow-wave sleep may have genetic underpinnings.
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Affiliation(s)
- Indrani Halder
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Karen A Matthews
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | | | - Victoria Causer
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Steven E Reis
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Martica H Hall
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
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14
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Kripke DF, Kline LE, Nievergelt CM, Murray SS, Shadan FF, Dawson A, Poceta JS, Cronin J, Jamil SM, Tranah GJ, Loving RT, Grizas AP, Hahn EK. Genetic variants associated with sleep disorders. Sleep Med 2015; 16:217-24. [PMID: 25660813 PMCID: PMC4352103 DOI: 10.1016/j.sleep.2014.11.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 10/30/2014] [Accepted: 11/14/2014] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The diagnostic boundaries of sleep disorders are under considerable debate. The main sleep disorders are partly heritable; therefore, defining heritable pathophysiologic mechanisms could delineate diagnoses and suggest treatment. We collected clinical data and DNA from consenting patients scheduled to undergo clinical polysomnograms, to expand our understanding of the polymorphisms associated with the phenotypes of particular sleep disorders. METHODS Patients at least 21 years of age were recruited to contribute research questionnaires, and to provide access to their medical records, saliva for deoxyribonucleic acid (DNA), and polysomnographic data. From these complex data, 38 partly overlapping phenotypes were derived indicating complaints, subjective and objective sleep timing, and polysomnographic disturbances. A custom chip was used to genotype 768 single-nucleotide polymorphisms (SNPs). Additional assays derived ancestry-informative markers (eg, 751 participants of European ancestry). Linear regressions controlling for age, gender, and ancestry were used to assess the associations of each phenotype with each of the SNPs, highlighting those with Bonferroni-corrected significance. RESULTS In peroxisome proliferator-activated receptor gamma, coactivator 1 beta (PPARGC1B), rs6888451 was associated with several markers of obstructive sleep apnea. In aryl hydrocarbon receptor nuclear translocator-like (ARNTL), rs10766071 was associated with decreased polysomnographic sleep duration. The association of rs3923809 in BTBD9 with periodic limb movements in sleep was confirmed. SNPs in casein kinase 1 delta (CSNK1D rs11552085), cryptochrome 1 (CRY1 rs4964515), and retinoic acid receptor-related orphan receptor A (RORA rs11071547) were less persuasively associated with sleep latency and time of falling asleep. CONCLUSIONS SNPs associated with several sleep phenotypes were suggested, but due to risks of false discovery, independent replications are needed before the importance of these associations can be assessed, followed by investigation of molecular mechanisms.
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Affiliation(s)
- Daniel F Kripke
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | | | | | - Sarah S Murray
- Department of Pathology, Center for Advanced Laboratory Medicine, University of California, San Diego, CA, USA
| | - Farhad F Shadan
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Arthur Dawson
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - J Steven Poceta
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - John Cronin
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Shazia M Jamil
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
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15
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Porkka-Heiskanen T, Zitting KM, Wigren HK. Sleep, its regulation and possible mechanisms of sleep disturbances. Acta Physiol (Oxf) 2013; 208:311-28. [PMID: 23746394 DOI: 10.1111/apha.12134] [Citation(s) in RCA: 86] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Revised: 05/16/2013] [Accepted: 06/04/2013] [Indexed: 12/22/2022]
Abstract
The state of sleep consists of different phases that proceed in successive, tightly regulated order through the night forming a physiological program, which for each individual is different but stabile from one night to another. Failure to accomplish this program results in feeling of unrefreshing sleep and tiredness in the morning. The program core is constructed by genetic factors but regulated by circadian rhythm and duration and intensity of day time brain activity. Many environmental factors modulate sleep, including stress, health status and ingestion of vigilance-affecting nutrients or medicines (e.g. caffeine). Acute sleep loss results in compromised cognitive performance, memory deficits, depressive mood and involuntary sleep episodes during the day. Moreover, prolonged sleep curtailment has many adverse health effects, as evidenced by both epidemiological and experimental studies. These effects include increased risk for depression, type II diabetes, obesity and cardiovascular diseases. In addition to voluntary restriction of sleep, shift work, irregular working hours, jet lag and stress are important factors that induce curtailed or bad quality sleep and/or insomnia. This review covers the current theories on the function of normal sleep and describes current knowledge on the physiologic effects of sleep loss. It provides insights into the basic mechanisms of the regulation of wakefulness and sleep creating a theoretical background for understanding different disturbances of sleep.
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Affiliation(s)
| | - K.-M. Zitting
- Institute of Biomedicine; University of Helsinki; Helsinki; Finland
| | - H.-K. Wigren
- Institute of Biomedicine; University of Helsinki; Helsinki; Finland
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16
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Barclay NL, Gregory AM. Quantitative genetic research on sleep: A review of normal sleep, sleep disturbances and associated emotional, behavioural, and health-related difficulties. Sleep Med Rev 2013; 17:29-40. [DOI: 10.1016/j.smrv.2012.01.008] [Citation(s) in RCA: 101] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2011] [Revised: 01/19/2012] [Accepted: 01/30/2012] [Indexed: 11/30/2022]
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